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  • sustainability  (444)
  • deep learning  (378)
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  • MDPI - Multidisciplinary Digital Publishing Institute  (804)
  • Wiley-Blackwell
  • 2020-2024  (804)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Keywords: soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Keywords: coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Implementing sustainable development is central to achieving global reductions in greenhouse gas emissions and mitigating anthropogenic environmental impacts. As defined by the UN 2030 Agenda and its associated Sustainable Development Goals (SDGs), sustainable development requires a holistic, interdisciplinary approach, which is not without its challenges. Indeed, studies tracking global progress toward meeting the 2030 SDG targets emphasize the importance of implementing sustainable solutions, with several SDG targets described as 'off track.' Therefore, there is an urgent need to address the challenges of an interdisciplinary, unified, and practical approach to sustainable implementation. In this context, this Reprint brings together 15 selected papers presented during the 2022 SDEWES Conference. These papers cover a broad range of topics, from circular governance models to education related to sustainable practices, as well as the impacts of current legislative frameworks targeting energy efficiency, built environment energy performance, bio-based industrial applications, transport and sustainable energy services, and production, supply, and infrastructure maintenance strategies. This Reprint provides an interdisciplinary and holistic perspective on sustainable development solutions, with several papers highlighting the interrelations between various fields and aspects of sustainability.
    Keywords: combined heat and power ; hospitality ; feasibility ; sensitivity analysis ; simple payback ; energy performance certificate ; CO2 ; multi-apartment buildings ; heating ; energy consumption ; cooling ; performance-based retrofit ; decision support ; building performance simulation ; parametric analysis ; multiple-criteria decision analysis ; residential buildings ; in-line inspection ; smart pig ; sensor ; oil ; natural gas ; pipeline ; environment ; biorefinery ; organosolv ; lignin ; pre-treatment ; higher education ; competencies development ; STEM education ; sustainability ; colloidal particles ; Pickering emulsion ; rheological behaviour ; ESCO business models ; aggregator business models ; energy services for buildings ; energy performance contract ; Pay-for-Performance contract ; energy efficiency in buildings ; demand response ; demand side flexibility ; residential sector ; governance ; circular economy ; circular territories ; index ; circularity ; thermal transmittance ; thermal resistance ; finite element method ; heat flux sensor ; in situ monitoring ; concrete masonry unit ; hydrogen ; water ; wastewater ; electrolysis ; water scarcity ; wastewater treatment plants ; desalination ; Jordan ; system dynamics ; thermal comfort ; Minha Casa Minha Vida ; natural ventilation ; bioclimatic architecture ; social housing ; energy poverty ; battery electric vehicles ; plug-in hybrid electric vehicles ; hybrid electric vehicles ; CO2 emissions ; Hofstede ; advertising ; sustainability integration ; Middle East ; supply chain management ; responsible logistics ; education for SDGs ; natural gas pipelines ; nondestructive testing (NDT) ; in-line inspection robot ; wireless communication ; antenna ; circular waveguide ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
    Keywords: EMG ; EEG ; rehabilitation ; neuromotor ; evaluation ; assessment ; review ; machine learning ; biofeedback ; transfer learning ; random forest classifier ; COVID-19 ; intubation ; tracheoesophageal fistula ; tracheal lesions ; acute respiratory distress syndrome ; modeling ; intensive care unit ; muscle synergies ; whole body FES ; neurological patients ; photodynamic therapy ; fluorescence ; laser ; fluorophores ; enamel ; effective connectivity ; kurtosis ; resting-state connectivity ; stationarity ; sleep monitoring ; pressure bed sensor (PBS) ; unobtrusive measure ; multi-scale analysis ; sleep apnea–hypopnea syndrome (SAHS) ; shift-working ; optically detected magnetic resonance ; quantum magnetometer ; magnetoencephalography ; time domain ; functional near infrared spectroscopy ; diffuse optics ; brain ; hemodynamics ; resting-state brain oscillation ; mental workload ; signal processing ; reliability ; cognitive performance ; Simon task ; emotion detection ; valence ; arousal ; wearable sensors ; regression ; classification ; technology acceptance model ; rehabilitation exoskeletons ; therapists ; neuro-rehabilitation ; multiple linear regression ; Pearson’s correlation ; integrated sensor systems ; hand function ; hand osteoarthritis ; electromyography ; diagnosis ; discriminant analysis ; photoplethysmogram ; microcirculation ; deep learning ; convolutional neural network ; modelling ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The Special Issue entitled “Advances in Rock Mechanics and Geotechnical Engineering” is devoted to the publication of the latest research, field works, and laboratory investigations in the area of rock mechanics and geotechnical engineering. This Special Issue has published novel contributions in different areas of geotechnical and geomechanical engineering such as slope and embankment, tunneling and underground space technologies, pile and foundation, rock mechanics and rock blasting, excavation and leveling projects, ground improvement techniques, unsaturated soil, practical issues in soft soil, mining technology, geo-environmental engineering, new laboratory testing, applied geology for construction, and novel geotechnical construction methods. The focus of this reprint is on the development of computational methods for solving problems in the fields of rock mechanics and geotechnical engineering.
    Keywords: strength prediction ; brittle rock ; grain-structure representation ; micro-properties ; bonded block models ; Voronoi tessellation ; structure-type rockburst ; evolution mechanism ; particle flow code ; flat-joint model ; pre-grouting ; soft coal mass ; coal-grout structure ; shear behavior ; quality improvement ; rock strength ; tensile behaviour ; neuro-fuzzy ; regression ; non-destructive tests ; paste filling ; slicing mining ; false roof stability ; optimal false roof thickness ; tree-based techniques ; feature selection ; pile bearing capacity ; gradient boosted tree ; random forest ; in situ stress ; rock blasting ; crack propagation ; model test ; rheological deformation ; key stratum ; roadway groups ; roadway deformation ; surrounding rock control ; triaxial creep experiment ; cyclic loading and unloading ; elasto-visco-plastic strain ; irrecoverable strain ; tertiary creep stage ; nonlinear creep damage model ; high-altitude slope ; BP neural network ; freeze-thaw cycle ; geological conditions ; mining method ; soft broken complex ore body ; improved AHP ; comprehensive evaluation index ; blasting ; back-break ; SVM ; metaheuristic algorithms ; moth–flame optimization ; whale optimization algorithm ; tilted strata ; roadway ; nonuniform deformation ; physical simulation ; HFDEM ; numerical method ; rock fracture ; strain rate ; mining engineering ; backfill mining ; high-concentration backfill ; elastic modulus ; K-fold cross-validation ; mining ; rock engineering ; sensitivity analysis ; XGBoost ; limit equilibrium method (LEM) ; limit analysis ; accuracy ; slope stability ; homogenous slopes ; error accuracy classification chart ; physical and mechanical responses ; Egyptian granodiorite ; thermal damage threshold ; microstructure ; thermal constructions ; rock slope analysis ; limited analysis method ; numerical methods ; combined/hybrid finite–discrete element method ; FDEM ; non-renewable ; clean coal technology ; waste of resources ; “110 construction method” ; collapse settlement control ; moisture content ; dry–wet cycles ; cyclic loading ; injury mechanism ; acoustic emission RA-AF ; thermal effect prediction model ; uniaxial compressive strength ; static Young’s modulus ; artificial neural network ; multilinear regression ; rock mass ; hydraulic conductivity ; sustainability ; rock mechanics ; geotechnical engineering ; geomechanical engineering ; mining technology ; natural stones ; temperature ; fire ; thermal effect ; point load strength ; porosity ; color ; gloss ; automated mineral identification ; LBP ; classification ; texture feature ; liquefaction potential ; prediction ; Bayesian optimization ; support vector machines ; optimization ; Hoek–Brown criterion ; Mohr failure envelope ; Balmer’s equation ; limit equilibrium analysis ; modified Bishop approach ; active earth pressure ; unsaturated narrow backfill ; interlayer shear stress ; arching effect ; thin-layer element method ; tunnel excavation ; cut blasting method ; LLB method ; uncharged hole ; numerical simulation ; spectrum index ; water content ; hyperspectral information ; V-type firing pattern ; collision fragmentation ; RSA ; ANN ; coupled stress-hydro effect ; uniaxial loading ; infrared radiation ; warning threshold ; non-destructive monitoring ; alteration ; tunnel ; stress field ; deformation field ; plastic zone ; flyrock ; weathering index (WI) ; equilibrium optimizer (EO) ; particle swarm optimization (PSO) ; extreme learning machine (ELM) ; artificial neural network (ANN) ; high-water material ; seawater ; water-cement ratio ; strength ; mining method optimization ; difficult-to-mine complicated orebody ; multiple attribute decision making ; Pythagorean fuzzy sets and TOPSIS method ; mechanized upward horizontal layering method ; plateau alluvial-lacustrine deposits ; round gravelly soil ; large scale direct shear test ; shear strength parameters ; Erbil ; geotechnical characterization ; GIS ; ANFIS ; differential evolution ; firefly algorithm ; frozen rock mass blasting ; ice-filled crack ; explosion stress wave propagation ; attenuation factor ; UCS ; intelligent and statistical methods ; sedimentary rocks ; modulus of deformation ; RMR ; in situ testing ; modelling ; instrumentation ; failure risk ; element failure probability ; spatial variability ; stochastic groundwater level ; upper bound method ; rock joints ; shear strength ; scale effects ; normal stress ; JRC ; PFC simulation ; water inrush ; precursor ; strain energy ; normalized ; sustainable mine ; blast-induced flyrock ; LSSVM ; prediction models ; salt cavern ; underground gas storage ; continuum-discrete coupled method ; thermal-mechanical coupling ; thermal damage ; marble strength ; direct and indirect methods ; correlations analysis ; artificial intelligence techniques ; performance indicators ; resonant column test ; torsional simple shear test ; damping ratio ; steady-state vibration ; free vibration decay ; bibliometric analysis ; pile foundation ; sustainable structure ; VOS viewer ; Web of Science ; red clay ; desiccation cracking mechanism ; digital image correlation technology ; strain ; displacement ; mineral carbonation ; comminution energy ; stress–strain relationship ; elastic properties ; radial distribution function ; crown deformation ; underground caverns ; parametric study ; multiple linear regression ; twin tunnels ; 3D numerical analysis ; surface settlement ; field measurement ; geotechnical and geological conditions ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural practices, industrial manufacturing, and household consumption are just a few of the activities that contribute to the production of food waste biomass. Modern environmental theories, like the circular economy, are thought to be the impulse behind the implementation of zero-waste policies. The huge percentage of such residual biomass has significant potential to be used as a raw material to produce novel products and specialty feedstock through biorefining procedures, even though the high volume of waste originating from the food industry raises serious concerns regarding both economic and environmental aspects. Given that many plant parts that are rejected during fruit and vegetable processing (e.g., leaves, branches, peels, roots, stems, and seeds) carry a sizable load of phytochemicals, including polyphenols, the recovery of valuable secondary metabolites from waste plant tissues is an appealing prospect in this regard. This specific group of substances exhibits a wide range of chemical compositions with diverse biological characteristics and functions, including antioxidant and antibacterial activities as well as chemoprotective effects against cancer and other degenerative diseases.
    Keywords: oyster shell waste ; washing method ; sodium chloride ; impurities ; particle size ; anaerobic digestion ; agricultural inputs ; biochemical methane potential ; biodegradability ; lignocellulosic biomasses ; manures ; agriculture ; agricultural waste management ; allelopathic effect ; invasive species ; phytoremediation ; rice straw ; rice bran ; rice husk ; agricultural waste ; valorization ; circular economy ; biomass ; bioeconomy ; kinetics ; lignocellulosic biomass ; mechanical pretreatment ; methane potential ; twin-screw extrusion ; fruit and vegetable ; biowaste ; synergies ; matchmaking ; platform ; industrial symbiosis ; waste management ; sustainability ; green building ; recycle ; food waste ; lightweight concrete ; lime concrete ; fruit shells ; coarse aggregate replacement ; sugarcane bagasse ; pentose liquor ; dark fermentation ; biohydrogen ; organic acids ; biorefinery ; fungi ; laccase ; microcosm ; homogenisation ; hemicellulose ; cellulose ; fibre ; conventional limestone ; waste brown eggshells ; polylactic acid ; mechanical properties ; bio-composite ; Aspergillus niger ; ellagitannins ; phenolic compounds ; punica granatum ; saccharomyces cerevisiae ; solid-state fermentation ; limonene ; alpha-pinene ; biotransformation ; terpene ; flavouring agent ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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  • 7
    Publication Date: 2024-01-08
    Description: This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as leaders in research and industrial application of smart manufacturing concepts.
    Keywords: Industrie 4.0 ; intelligent manufacturing ; smart factories ; industrial artificial intelligence ; digital twins ; zero-defect manufacturing ; digital ecosystems ; China Manufacturing 2025 ; Industrial Internet ; Cloud Manufacturing ; digitalization ; small-medium enterprises ; new business models ; data democratization ; fourth industrial revolution ; smart manufacturing ; smart factory ; digital transformation ; industry ; sustainability ; sovereignty ; interoperability ; mass customization ; Industry 4.0 ; skills ; competencies ; bibliometric analysis ; survey ; Hungary ; maturity model ; transformation ; methodology ; Industry 4.0 strategy ; socio-technical system ; business transformation ; industrial implementation ; mergers and acquisitions ; knowledge management ; networking ; process management ; informational change ; scarce data ; machine learning ; information fusion ; development of work ; sociotechnical systems approach ; human-oriented work design ; D-SI ; DCC ; digital signature ; calibration ; servitization ; digital factory transformation ; smart services ; IoT ; AI ; internal services ; remote work ; COVID-19 ; investment ; n/a ; digital twin ; digital manufacturing ; multi-agent systems ; data architecture ; Logistics 4.0 ; digital transformation strategy ; urban planning and city operation ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: We are very excited to introduce this Special Issue of Nutrients, “Advances in Legumes for Human Nutrition”. Recently, legumes have contributed to a sustainable and increased food supply for the rapidly growing global population due to climate change. Legume seeds that are intact or milled into flour offer a complex array of macro- and micronutrients and phytochemicals for human nutrition. Additionally, they can be fractionated into their component proteins, starches, lipids and dietary fibre as health- and techno-functional food ingredients. These ingredients are in great demand by the food industry, for example, in the manufacture of vegetarian and vegan dairy products and meat analogues with good nutritional profiles. However, the issues, such as micronutrient availability, antinutrients and allergenicity, still require solutions for the maximum uptake of legumes by humans. We invited manuscripts that address any aspect of this broad topic, including the impact of innovative food technologies on the nutritional value of legumes and those focusing on nutritional properties of seeds from underutilised members of the Fabaceae (Leguminosae) family.
    Keywords: α-amylase inhibitor ; biofortification ; lectins ; nutritional enhancement ; phytic acid ; predicted glycemic index ; sensory analysis ; temporal dominance sensation ; legumes ; fermented beans ; extruded snacks ; spices ; antioxidant activity ; lupin ; health outcomes ; type 2 diabetes ; cardiovascular disease ; obesity ; legume proteins ; nutraceuticals ; structural properties ; bioactive peptides ; in vivo digestibility ; health effects ; Lupin ; processing ; lupin kernel fibre ; food ingredient ; composition ; techno-functionality ; health benefits ; consumer acceptability ; coronary heart disease ; health care cost ; cost-of-illness analysis ; nutrition economics ; dietary guidelines ; consumption ; sustainability ; chronic disease ; Setaria italica L. ; Cicer arietinum L. ; Hibiscus sabdariffa L. ; chickpea flour ; foxtail millet flour ; minerals ; organic acids ; pregelatinization ; sensory evaluation ; nutritional values ; in vitro bioaccessibility ; benign prostatic hyperplasia (BPH) ; lower urinary tract symptoms (LUTSs) ; voiding symptoms ; soy ; soy food ; isoflavones ; prostate smooth muscle contraction ; faba proteins ; enzymatic hydrolysis ; UHT processing ; emulsion ; phenolic compounds ; in vitro digestion ; colonic fermentation ; cotyledon cells ; in vitro starch digestion ; legume structure ; low glycaemic index ; navy beans ; protein matrix ; beans ; fiber ; pulses ; carbohydrate ; fat ; protein ; NHANES ; waist ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Taking into account the increasing general concern related to the necessity of reducing CO2 emissions, a very important aspect of this topic refers to the green energy sector. In this vein, the present Special Issue is focused on the area of Offshore Renewable Energy (ORE). This Special Issue contains valuable works related to ORE.
    Keywords: Romanian nearshore ; EEZ ; ERA5 ; water depth ; energy resources ; offshore wind turbines ; offshore wind ; technical analysis ; economic analysis ; Philippines ; European seas ; sea state conditions ; wind climate ; wave climate ; statistical analysis ; solar farm siting ; assessment criteria ; entropy weight method ; AHP ; TOPSIS ; wave power ; wave energy converters (WECs) ; Galician coast ; SWAN ; wave-energy converter array ; interconnected model ; model predictive control ; hardware-in-the-loop ; wave energy converter (WEC) ; heaving point-absorber WEC ; WEC array ; WECfarm ; physical modelling ; real-time control ; MATLAB-Simulink ; heaving point absorber WEC ; system identification (SID) ; solar radiation ; marine renewable energy ; floating solar panels (FPV) ; sustainability ; wave energy converter ; floating flapping-panel ; slope ; hydrodynamic performance ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: This reprint contains articles published as part of the Special Issue of "Sustainable Tourism: Ways to Counteract the Negative Effects of Overtourism at Tourist Attractions and Destinations" in the journal Sustainability in the "Tourism, Culture, and Heritage" section. It contains 13 articles presenting research on various aspects of overtourism: the attitudes of city dwellers towards overtourism, e.g., Krakow and Wrocław; the effects of tourism development in regions of natural value, e.g., the Tatra National Park; and areas adjacent to tourist routes. It looked at night-time tourism and the sharing economy, as well as how business models can be used to manage sustainable tourism. The phenomenon of overtourism in Tunisia, Brazil, and South Korea is described. The articles published in 2020 are very popular. They have been viewed by several thousand researchers and have been cited 300 times by other authors.
    Keywords: health resorts ; management ; Poland ; investment gaps ; overtourism ; investment attractiveness ; sustainability ; Kraków ; Doxey index ; attitudes ; residents ; service providers ; life form ; dispersal mode ; semi-natural habitats ; trampling ; vascular plants ; tourist experiences ; ecological awareness ; protected areas ; Tatra National Park ; TripAdvisor ; conflict management ; social conflict ; conflict analysis ; circle of conflict ; urban tourism ; tourism-phobia ; tourism in cities ; tourist gentrification ; impact of tourism ; experience economy ; sustainable tourism ; Wrocław city ; subjective well-being ; festivals ; tourism consequences ; tourism area life cycle model ; tourism carrying capacity ; tourism intensity index ; tourism density index ; over-tourism ; temporal distribution ; willingness to pay ; choice experiment ; tourism management and development ; UNESCO World Heritage site ; sustainable development ; Social Capital Theory ; sharing economy ; collaborative economy ; tourism ; gentrification ; tourism impact ; non-mega sports events ; sports tourism ; quality of life of hosts ; social impact of sports events ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: In the orthopedic surgical field, knee surgeries, including articular cartilage repair procedures, meniscus surgery, ligament reconstruction surgery, osteotomy surgery, and partial/total knee arthroplasty surgery, have made great advances over the last few decades. This Special Issue highlights and focuses on the surgical concepts and techniques, decision-making processes, perioperative management protocols, and clinical outcomes of the recent various advanced knee surgery procedures.
    Keywords: high tibial osteotomy ; TomoFix ; plate position ; anatomical conformity ; dual-energy CT ; Hounsfield unit ; bone mineral density ; volumetric phantomless BMD ; opportunistic CT ; orthopedic surgeon ; planning ; survey ; total knee arthroplasty ; unicompartmental knee arthroplasty ; anterior cruciate ligament ; reconstruction ; bone tunnel widening ; adjustable-loop device ; interference screw ; hamstring tendon ; autograft ; tibial component alignment ; radiographic references ; extramedullary system ; tranexamic acid ; clamping time ; transfusion ; estimated blood loss ; continuous cold flow therapy ; cryotherapy ; pain ; opioids consumption ; patient satisfaction ; bone marrow lesion ; knee ; meniscus ; root tear ; root repair ; femorotibial joint ; chondromalacia ; aging ; body mass index ; magnetic resonance imaging ; automated detection ; detection algorithm ; deep learning ; venous thromboembolism ; medial collateral ligament ; strain ; video extensometer ; medial opening-wedge high tibial osteotomy ; central sensitization ; patient-reported outcomes ; osteotomy site pain ; minimal clinically important difference ; human umbilical cord blood derived mesenchymal stem cells ; cartilage regeneration ; cartilage repair ; osteoarthritis treatment ; stem cell therapy ; Outerbridge ; degeneration ; spacer block ; intramedullary rod ; femorotibial congruence ; unicompartmental arthroplasty ; osteoarthritis ; cartilage ; stem cells ; umbilical cord blood ; femur fracture ; polyethylene insert ; osteoporosis ; multivariate logistic analysis ; atelocollagen ; microfracture ; ACIC ; bone marrow aspirate concentrate ; human umbilical cord blood-derived mesenchymal stem cells ; knee osteoarthritis ; loosening ; arthroplasty ; machine learning ; transfer learning ; review ; prosthesis ; meniscus root ; medial meniscus posterior root ; medial meniscus posterior root tear ; meniscus root repair ; transtibial pull-out repair ; bone tunnel enlargement ; anterior cruciate ligament reconstruction ; landmark ; lateral tibial spine ; anatomy ; bic Book Industry Communication::M Medicine
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: This reprint includes 23 research articles and 1 review accepted and published by MDPI in the Special Issue entitled "Recent Advances and Applications in Partial Least Squares Structural Equation Modeling (PLS-SEM)", comprising 7 articles in Economies, 6 articles in Mathematics, 10 articles in Sustainability and 1 article in Data. The covered topics include the impacts of COVID-19 and climate change on food security or the tourism sector, the critical factors affecting the implementation of corporate governance, consumers' perspectives and behaviors toward corporate social responsibility, consumers’ ethnocentrism and country of origin, the differentiation strategy and export performance in emerging countries, the influence of agricultural development on alleviating rural poverty, leadership and employee performance, the relationship between entrepreneurial orientation and business performance, the role of commitment in an extended theory of planned behavior, major shifts in sustainable consumer behavior, an empirical evaluation of customers' adoption of drone food delivery services, European citizens' happiness, the mediation of corporate social responsibility between information and communication technologies adoption and SMEs performance, students’ satisfaction about blended learning, etc. This reprint is expected to benefit those working in the area of PLS-SEM, regardless of their field of study (economics, finance, marketing, education, etc.). Applications involving higher-order constructs, mediating variables, multigroup analysis, and the latest advances in applied methodology are detailed in this reprint.
    Keywords: PLS-SEM ; structural equations ; economics ; finance ; healthcare ; sustainability ; environment ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The effort of the Editors has received global attention. Indebtedness is due to Saha and Asif and coworkers from Canada, Joseph and Mahapatra and coworkers from Poland and India, Ramirez-Montoya and coworkers from Spain and Mexico, Mota-Panizio and coworkers from Portugal and Brazil, Izquierdo and Lopez-Coca and coworkers from Spain, Vinitnantharat and coworkers from Thailand and the UK, Roy and Fini and coworkers from India and the USA, Lawson and Luyima and coworkers from Ghana and South Korea, Fouad El Mansouri and coworkers from Morocco and Spain, and Man Zhang and Yaning Zhang and coworkers from China for the 10 scholarly research papers dealing with the synthesis, characterization, properties, and applications of new carbon materials. The applications are mainly centered around environmental remediation owing to the intensity of the problem and comprise of water decontamination and the removal of heavy metals and organic compounds like tannic acid from contaminated sources. The use of biochar in agriculture for preventing nitrogen leaching for soil has also been included. Unconventional carbon-related materials like rice husk ash and carbon steel slag were also used for exotic applications.
    Keywords: polymers ; biocompatible ; biodegradable ; compostable ; sustainable ; market dynamics ; research trends ; graphene ; graphene-like materials ; carbon ; biomass pyrolysis ; microwave pyrolysis ; OMWW ; adsorption ; carbon steel slag ; tannic acid ; biochar ; dry matter accumulation ; leaching of nitrogen ; nitrogen uptake ; tropical sandy soils ; sustainability ; carbon footprint ; rice husk ash ; lime ; silica ; asphalt ; concrete ; roadways ; fractionation ; heavy metal removal ; isotherm ; modified biochar ; WIEC ; carbonization ; pretreatment ; activation ; carbonaceous material ; hydrothermal carbon ; Castanea sativa ; biomass residues ; residue valorization ; per- and poly-fluoroalkyl substances (PFAS) ; water decontamination ; porous carbon monolith ; whey ; biomass carbon ; mechanical properties ; C ; H ; N ; corn straw ; microwave heating ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNK Inorganic chemistry
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Although they play a key role in ecosystem functioning and human life, plants are generally overlooked by policymakers and humans in general. In addition, in recent years, we have been witnessing an increase in biologists unable to recognize even common plants, and the number of plant experts (i.e., botanists) able to identify plants is decreasing. In light of these considerations, the Special Issue "Floristic Studies in the Light of Biodiversity Knowledge and Conservation” was launched in the journal Plants, and eight research articles, two reviews, and an editorial were published in it. It has been possible to publish research from different countries, underlining that the knowledge of the flora of a territory is essential to slow down the effects of anthropic pressure on biodiversity and likewise essential for most of the research activities of modern botany.
    Keywords: correlation ; ecology ; essential oils ; Lamiaceae ; vegetation ; species composition ; richness ; urban areas ; anthropogenic impact ; climate ; anthropogenic habitats ; Caucasus ; Himantoglossum formosum ; human-made habitats ; Orchidaceae ; salep harvesting ; Transcaucasia ; kapok ; Ceiba ; fiber ; sustainability ; Malvaceae ; silk-cotton ; phenotypic plasticity ; mangrove grass ; salt marshes ; coastal habitat ; biodiversity ; bryophytes ; generalist plants ; grassland specialists ; historical monuments ; invasive alien plants ; kurgans ; lichens ; native plants ; alien status ; biological records ; Europe ; Latium ; Mediterranean flora ; Rome ; urban biodiversity ; endemism ; floristic research ; herbaria ; lectotype ; nomenclature ; taxonomy ; halophytes ; edible wild species ; coastal areas ; Salicornia ; Arthrocaulon macrostachyum ; Soda inermis ; Cakile maritima ; Crithmum maritimum ; Reichardia picroides ; Silene vulgaris subsp. tenoreana ; Allium commutatum ; Beta vulgaris subsp. maritima ; Capparis spinosa ; Italy ; IUCN ; morphology ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PST Botany & plant sciences
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The complexity of production processes is on the rise due to evolving technology and changing lifestyles. This complexity can stem from factors within the production system or be influenced by characteristics or events external to the system. This reprint aims to conduct rigorous research focused on the application of data-driven decision-making algorithms to address diverse challenges within complex production systems.
    Keywords: global value chain ; inter-country input-output table ; the Belt and Road Initiative ; Collaborative Opportunity Index ; Collaborative Threat Index ; asynchronous dynamic policy ; energy-efficient data center ; Markov decision process ; RG-factorization ; sensitivity-based optimization ; uncertainty modeling ; emergency logistics ; location-allocation ; sustainability ; uncertainty theory ; dual circulation ; port logistics ; Ningbo-Zhoushan Port ; entropy weight ; COPRAS ; digital platforms ; regulation ; antitrust ; game theory ; algorithm ; predictive maintenance ; multistage machine ; sensorisation ; decision-making ; mean time to failure ; system ; robotic assembly line balancing ; energy consumption ; cross-station task ; mixed integer liner programming ; simulated annealing ; objective weights of criteria ; MPSI method ; multi-criteria decision-making method ; MARA method ; support system selection ; underground mining ; multi-source fuzzy data ; normalization method ; membership function ; Gaussian-shaped fuzzy inference ; complex systems ; graph partition ; graph neural networks ; ordinary differential equation ; dynamics ; manufacturing scenario ; inter-firm social network ; ambidexterity and green innovation capability ; simulation ; environmental regulation ; data driven decision-making ; strategic interaction ; spatial spillover ; Fermatean fuzzy set ; BWM ; green supplier selection ; power Heronian mean ; EDAS ; industrial production system ; flow structure ; synergy theory ; collaborative management ; system dynamics ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The reprint, titled ”Sustainable Biopolymer-Based Composites: Processing, Characterization, and Application”, is composed of 32 scientific works of scholars that contributed their own expertise passion, and science to expand the boundaries of knowledge by addressing new challenges. The topic of new biopolymer-based composite materials is addressed from several aspects, from the development to characterization and application, in several fields of scientific interest.
    Keywords: biopolymer-treated soil ; Xanthan Gum ; Guar Gum ; soil strength ; durability ; cyclic wetting-drying ; biodegradability ; carbon nanotubes ; graphene ; life cycle analysis ; nanocomposites ; packaging ; remediation ; starch ; aging ; coarse wool fibre ; hybrid composites ; natural rubber ; PALF ; sisal fibre ; mulch films ; biopolymers ; SDGs ; plastic pollution ; polymers ; microfluidics ; lab-on-chip ; biomedical engineering ; drug carrier ; artificial cell ; 3D bioprinting ; hydrogel films ; gelatin ; antimicrobial activity ; food packaging ; TGA ; biocomposites ; renewable sources ; wood waste ; waste valorization ; primerless-wet bonding ; resin adhesive system ; hybrid layer ; tensile bond strength ; micro-seal ; luting resin ; dental prosthesis ; fixed prosthodontics ; bioplastics ; conventional polymers ; renewable resources ; LCA ; fish collagen ; fish industry waste ; collagen extraction ; nano collagen ; sustainability ; poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) ; cellulose nanofiber ; bionanocomposite ; melt-extrusion processing ; optimization ; response surface methodology ; acrylonitrile butadiene rubber ; fish scale ; bis(triethoxysilylpropyl)tetrasulfide ; composite ; compatibilizer ; collagen biopolymer ; unicornfish bone ; acid extraction ; characterization ; biocompatible ; biodegradable ; scaffolds ; tissue engineering ; lignin biopolymer ; erosion ; triaxial test ; wetting and drying cycles ; silt ; green macroalga ; red sea ; Chaetomorpha linum ; cellulose nanocrystals ; green silver nanoparticles ; bio-nanocomposite films ; optical properties ; Torenia fournieri ; zinc oxide nanoparticle ; smart packaging sensors ; wound healing ; biodegradable plastic ; circular economy ; pineapple ; tensile strength ; silver nanoparticles ; green synthesis ; Piper betle L. leaf ; pig lining leather ; antibacterial activity ; antifungal activity ; polylactic acid (PLA) ; spent coffee grounds (SCG) ; rheological properties ; mechanical properties ; chitosan ; nanofiber ; preparation ; applications ; wound dressing ; acetylation ; flour ; physicochemical properties ; modification ; wound dressings ; hydrogel ; honey ; natural polymer ; synthetic polymer ; PLA ; biodegradation ; sports equipment manufacturing ; arrowroot starch ; heat-moisture treatment ; octenylsuccinilation ; dual-modification ; functional properties ; glabridin ; 3-O-Ethyl-L-ascorbic acid ; tranexamic acid ; microneedles ; pigmentation ; multifunctional drug ; hydrophilic bioplastics ; gum Arabic ; polyvinyl alcohol ; casting of poly-(methyl methacrylate) ; dehydration ; phosphorus pentoxide ; peeling ; microbial biodegradation ; green composites ; stem fiber ; crystallinity ; thermal behavior ; reinforcement material ; pineapple leaf fiber ; flax ; poly(butylene succinate) ; unidirectional composites ; microstructure ; sustainable materials ; epoxy resin ; Schiff base ; epoxidized soybean oil ; epoxy vitrimer ; reprocessability ; recyclability ; agroindustrial wastes ; biomaterials ; cellulose ; lignocellulosic biomass ; polylactic acid ; coir fiber ; bamboo leaf fiber ; annealing ; biocomposite ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Oral cancer is a commonly occurring head and neck cancer, with 90% of cases diagnosed as oral squamous cell carcinoma (OSCC). Histologically, OSCC is derived from a multistep mechanism known as oral carcinogenesis, which progresses from normal epithelium to hyperplasia, followed by dysplasia and carcinoma in situ, and precedes the development of invasive squamous cell carcinoma. This multistep mechanism is characterized by mutations related to copy number alteration and epigenetic modifications. Precision medicine based on genomic profiling is also becoming more prevalent. It relies on the genetic information of individual patients or specific cancer cells and how their genes interact with each other and the environment. This method can potentially provide more effective treatment strategies as approaches can be customized for the specific genetic profiles of patients. Completing the TCGA HNSCC database has led to the development of new therapeutic approaches and targeted therapies. Lately, immune checkpoint inhibitors have been recognized as one of the standards of care in HNSCC. However, although treating invasive SCC is crucial, implementing prevention strategies to preclude malignant transformation has been useful in clinical management. Topics of interest for this Special Issue include, but are not limited to: Precision medicine, i.e., targeted therapies that inhibit oral carcinogenesis and tumorigenesis mechanisms; Combination of novel therapeutic approaches with standard-of-care regimens in OSCC; Biomarkers, i.e., predictive and prognostic markers for therapeutic approaches.
    Keywords: oral carcinogenesis ; oral tumorigenesis ; oral squamous cell carcinoma ; immune checkpoint inhibitor ; mutation ; biomarkers ; chemoradiation ; targeted therapies ; cisplatin ; preclinical models ; deep learning ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 18
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
    Keywords: chi-square test ; constrained likelihood ratio test ; Fisher test ; gamma distribution ; uniformly most powerful test ; key interested frame ; commodity video ; clustering ; deep neural network ; frequent subtree ; parallel algorithms ; data partitioning ; load balancing ; trust inference ; trust propagation ; online social network ; social network analysis ; probabilistic graphical model ; message passing ; belief propagation ; model interpretability ; sequential rule mining ; non redundant sequential rules ; TRuleGrowth ; top-k non redundant rules ; closed sequential patterns ; multivariate time series ; deep spatiotemporal information ; down-sampling convolution ; attention ; graph neural network ; mobility patterns ; social media data ; artificial intelligence ; tourist clusters ; tourist flows ; forecasting ; univariate ; time series ; Python ; PSF ; spam detection ; deep learning ; semantic similarity ; social network security ; web analytics ; web log mining ; clickstream analysis ; sequence mining ; sequitur ; graph techniques ; feature subset selection ; data mining ; educational data mining ; machine learning ; metaheuristics ; artificial neural networks ; random decision forests ; posttraumatic stress disorder ; DSM-V ; emergency cesarean section ; elective cesarean section ; postpartum period ; text similarity calculation ; passage-level event connection graph ; vector tuning ; graph embedding ; meteorological data mining and machine learning ; class imbalance ; classification ; randomized undersampling ; SMOTE oversampling ; undersampling using temporal distances ; recommender systems ; session-based recommendations ; e-commerce ; data and web mining ; item co-occurrence ; graph data model ; next-item and next-basket recommendations ; graph-based recommendations ; purchase intent ; LSTM-RNN ; signal processing ; smart device ; electromagnetic field ; non-ionizing radiation protection ; SAR ; ANOVA ; data science ; selection ; constraint satisfaction ; preprocessing ; mobile technology ; statistics ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: References to community interests appear from time to time in scholarly writings in the field of international relations and international law. The concept of community interests refers to interests protected by international law binding either all or a group of states and go beyond the delimitation of a sovereign sphere of influence. In the literature, there are existing examples of research, such as in books and journal articles, that consider the various manifestations of what has been described as “community interests” in many areas regulated by international law, including natural resources, global markets, human rights, and the use of force, and observe how law has evolved from a legal system based on more or less specific consent and aimed at promoting the particular interests of states, to one that is more generally oriented towards collectively protecting common interests and values. However, this topic has not been thoroughly researched, meaning that there is a huge gap in the existing literature, particularly in the context of ocean governance and sustainability. This Special Issue attempts to fill this gap, so as to attract more studies on this important topic in academia.
    Keywords: China ; Marine Environment Protection Law (MEPL) ; daily penalty system (DPS) ; realistic obstacles ; future proposals ; maritime dispute ; international conciliation ; continental shelf ; system effects ; Arctic governance ; Arctic sustainable development ; international law ; China’s role ; Arctic cooperation ; globalization ; international fisheries law ; international fisheries organisations ; fish products ; high seas fisheries ; precautionary approaches ; International Seabed Authority ; deep seabed mining ; exploitation regulations ; multi-subject participation ; environmental impact assessment ; environmental management and monitoring plans ; regional environmental management plan ; marine economy ; sustainability ; indicator system ; Yangtze River Delta ; entropy value method ; maritime security ; human security ; sustainable development ; ocean community ; positive-sum mentality ; South China Sea ; illegal ; unreported and unregulated (IUU) fishing ; maritime Silk Road ; Agreement of Port State Measures (PSMA) ; Anthropocene era ; UNCLOS ; marine environmental protection ; anthropogenic underwater noise ; ocean governance ; marine pollution ; high-seas MPAs ; BBNJ Agreement ; sustainable management ; sustainable fishing ; SDG 14 ; traditional fishing rights ; law of the sea ; policy exit ; international law of climate action ; international investment protection ; linguistic entanglements in the law ; offshore wind energy ; ocean renewable energy ; coastal states ; debt relief ; state responsibility ; climate debt ; sovereign debt ; renewable energy transition ; economic sustainability ; environmental sustainability ; heavily indebted poor countries ; n/a ; bic Book Industry Communication::L Law
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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The Special Issue entitled “Advances in Rock Mechanics and Geotechnical Engineering” is devoted to the publication of the latest research, field works, and laboratory investigations in the area of rock mechanics and geotechnical engineering. This Special Issue has published novel contributions in different areas of geotechnical and geomechanical engineering such as slope and embankment, tunneling and underground space technologies, pile and foundation, rock mechanics and rock blasting, excavation and leveling projects, ground improvement techniques, unsaturated soil, practical issues in soft soil, mining technology, geo-environmental engineering, new laboratory testing, applied geology for construction, and novel geotechnical construction methods. The focus of this reprint is on the development of computational methods for solving problems in the fields of rock mechanics and geotechnical engineering.
    Keywords: strength prediction ; brittle rock ; grain-structure representation ; micro-properties ; bonded block models ; Voronoi tessellation ; structure-type rockburst ; evolution mechanism ; particle flow code ; flat-joint model ; pre-grouting ; soft coal mass ; coal-grout structure ; shear behavior ; quality improvement ; rock strength ; tensile behaviour ; neuro-fuzzy ; regression ; non-destructive tests ; paste filling ; slicing mining ; false roof stability ; optimal false roof thickness ; tree-based techniques ; feature selection ; pile bearing capacity ; gradient boosted tree ; random forest ; in situ stress ; rock blasting ; crack propagation ; model test ; rheological deformation ; key stratum ; roadway groups ; roadway deformation ; surrounding rock control ; triaxial creep experiment ; cyclic loading and unloading ; elasto-visco-plastic strain ; irrecoverable strain ; tertiary creep stage ; nonlinear creep damage model ; high-altitude slope ; BP neural network ; freeze-thaw cycle ; geological conditions ; mining method ; soft broken complex ore body ; improved AHP ; comprehensive evaluation index ; blasting ; back-break ; SVM ; metaheuristic algorithms ; moth–flame optimization ; whale optimization algorithm ; tilted strata ; roadway ; nonuniform deformation ; physical simulation ; HFDEM ; numerical method ; rock fracture ; strain rate ; mining engineering ; backfill mining ; high-concentration backfill ; elastic modulus ; K-fold cross-validation ; mining ; rock engineering ; sensitivity analysis ; XGBoost ; limit equilibrium method (LEM) ; limit analysis ; accuracy ; slope stability ; homogenous slopes ; error accuracy classification chart ; physical and mechanical responses ; Egyptian granodiorite ; thermal damage threshold ; microstructure ; thermal constructions ; rock slope analysis ; limited analysis method ; numerical methods ; combined/hybrid finite–discrete element method ; FDEM ; non-renewable ; clean coal technology ; waste of resources ; “110 construction method” ; collapse settlement control ; moisture content ; dry–wet cycles ; cyclic loading ; injury mechanism ; acoustic emission RA-AF ; thermal effect prediction model ; uniaxial compressive strength ; static Young’s modulus ; artificial neural network ; multilinear regression ; rock mass ; hydraulic conductivity ; sustainability ; rock mechanics ; geotechnical engineering ; geomechanical engineering ; mining technology ; natural stones ; temperature ; fire ; thermal effect ; point load strength ; porosity ; color ; gloss ; automated mineral identification ; LBP ; classification ; texture feature ; liquefaction potential ; prediction ; Bayesian optimization ; support vector machines ; optimization ; Hoek–Brown criterion ; Mohr failure envelope ; Balmer’s equation ; limit equilibrium analysis ; modified Bishop approach ; active earth pressure ; unsaturated narrow backfill ; interlayer shear stress ; arching effect ; thin-layer element method ; tunnel excavation ; cut blasting method ; LLB method ; uncharged hole ; numerical simulation ; spectrum index ; water content ; hyperspectral information ; V-type firing pattern ; collision fragmentation ; RSA ; ANN ; coupled stress-hydro effect ; uniaxial loading ; infrared radiation ; warning threshold ; non-destructive monitoring ; alteration ; tunnel ; stress field ; deformation field ; plastic zone ; flyrock ; weathering index (WI) ; equilibrium optimizer (EO) ; particle swarm optimization (PSO) ; extreme learning machine (ELM) ; artificial neural network (ANN) ; high-water material ; seawater ; water-cement ratio ; strength ; mining method optimization ; difficult-to-mine complicated orebody ; multiple attribute decision making ; Pythagorean fuzzy sets and TOPSIS method ; mechanized upward horizontal layering method ; plateau alluvial-lacustrine deposits ; round gravelly soil ; large scale direct shear test ; shear strength parameters ; Erbil ; geotechnical characterization ; GIS ; ANFIS ; differential evolution ; firefly algorithm ; frozen rock mass blasting ; ice-filled crack ; explosion stress wave propagation ; attenuation factor ; UCS ; intelligent and statistical methods ; sedimentary rocks ; modulus of deformation ; RMR ; in situ testing ; modelling ; instrumentation ; failure risk ; element failure probability ; spatial variability ; stochastic groundwater level ; upper bound method ; rock joints ; shear strength ; scale effects ; normal stress ; JRC ; PFC simulation ; water inrush ; precursor ; strain energy ; normalized ; sustainable mine ; blast-induced flyrock ; LSSVM ; prediction models ; salt cavern ; underground gas storage ; continuum-discrete coupled method ; thermal-mechanical coupling ; thermal damage ; marble strength ; direct and indirect methods ; correlations analysis ; artificial intelligence techniques ; performance indicators ; resonant column test ; torsional simple shear test ; damping ratio ; steady-state vibration ; free vibration decay ; bibliometric analysis ; pile foundation ; sustainable structure ; VOS viewer ; Web of Science ; red clay ; desiccation cracking mechanism ; digital image correlation technology ; strain ; displacement ; mineral carbonation ; comminution energy ; stress–strain relationship ; elastic properties ; radial distribution function ; crown deformation ; underground caverns ; parametric study ; multiple linear regression ; twin tunnels ; 3D numerical analysis ; surface settlement ; field measurement ; geotechnical and geological conditions ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 21
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Various classes of natural and synthetic molecules that can be classified as biomaterials find application in all fields of dentistry. Biomaterials should be biocompatible to minimise toxicity and bioactivity to ensure or simulate biological effects. They are used, for instance, to enhance antibacterial activity and improve the healing process. Calcium silicates, for illustration, are biomaterials used in endodontics that have proven their excellent biological, physico-chemical, and mechanical properties. However, some of these are considered too soluble, and this is almost completely due to their hardness when used as endodontic sealers, making endodontic retreatment very difficult. Despite manufacturers' best efforts, it is sometimes difficult to marry bioactivity, biocompatibility, and clinical benefits in a biomaterial; therefore, in this content, the work of researchers is invaluable.
    Keywords: calcium silicate cement ; retrograde materials ; premixed cement ; powder–liquid cement ; chemical composition ; EDX ; caries prevention ; anterior restorations ; ceramic ; dental veneers ; follow-up ; non-vital teeth ; porcelain laminate veneers ; vital teeth ; antimicrobial ; osseointegration ; surface modification ; tissue engineering ; root canal retreatment ; calcium silicate-based cement ; ProTaper Universal Retreatment ; D-Race ; dentin hypersensitivity ; desensitizing agents ; calcium phosphate ; hydroxyapatite ; nano-hydroxyapatite ; peri-implantitis ; periodontitis ; periapical radiograph ; deep learning ; neural networks ; image enhancement ; carious lesion activity ; irreversible pulpitis ; partial pulpotomy ; vital pulp therapy ; mineral trioxide aggregate ; furcation involvement ; image segmentation ; Gaussian high-pass filtering ; image preprocessing ; CNN ; calcium silicate material ; confocal laser scanning microscope ; deciduous tooth ; digital microscopy ; flowability ; micro-CT ; pulpectomy primary teeth ; root canal filling ; SEM ; zinc oxide eugenol ; bic Book Industry Communication::M Medicine
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  • 22
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: The purpose of this Special Issue was to collect and present research results and experiences on energy supply in the Visegrad Group countries. This research considers both macroeconomic and microeconomic aspects. It was important to determine how the V4 countries deal with energy management, how they have undergone or are undergoing energy transformation and in what direction they are heading. The articles concerned aspects of the energy balance in the V4 countries compared to the EU, including the production of renewable energy, as well as changes in its individual sectors (transport and food production). The energy efficiency of low-emission vehicles in public transport and goods deliveries are also discussed, as well as the energy efficiency of farms and energy storage facilities and the impact of the energy sector on the quality of the environment.
    Keywords: energy supplies ; energy security ; energy market ; EU countries ; Hellwig’s method ; sustainability strategies ; sustainable development ; Visegrád Group ; sustainable strategic management ; the renewable energy sector ; energy use ; structures ; food production systems ; Visegrad Group ; energy mix ; renewables ; energy in transport ; energetic efficiency ; energy sources ; economic growth ; developing and developed countries ; energy sector ; environmental quality ; renewable energy sources (RES) ; nuclear energy ; southeastern Poland ; sustainability ; renewable energy sources ; European Union ; cluster analysis ; Visegrad Group countries ; fuels ; cointegration ; Granger causality ; electricity prices ; households ; directions of price changes ; biogas energy ; solar energy ; hybrid biogas plant ; renewable energy ; circular economy ; off-grid systems ; energy efficiency ; social and economic aspects of energy ; economic efficiency ; low emissions ; zero emissions ; e-commerce ; last mile ; parcel lockers ; efficiency of logistics processes ; economies of scale ; simulation of logistics processes ; COVID-19 ; BESS management ; price arbitration ; shift load ; microgrid ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: This reprint addresses the relationship between education and sustainability from various perspectives. The main issues discussed in the 12 collected papers are concerned with (1) the quality of education, (2) SDG policy and implementation, (3) education and societal development, (4) students’ learning, and (5) global experience.
    Keywords: bridging academics ; regional sustainability ; knowledge diffusion ; public–private partnership ; multi-node knowledge link model ; stakeholders ; paradox of Chinese learners ; learning concept ; virtue model ; mind model ; Confucian culture ; mindset intervention ; interaction ; iterative process ; persuasive ; stealthy ; education for sustainable development ; China ; education policy ; sustainable development ; ESD ; SDGs ; sustainability ; higher education ; indicators ; rankings ; assessment ; university rankings ; green universities ; green campus ; education ; learning ; educational innovation ecosystem ; education sustainability ; university-industry collaboration ; Chinese higher education ; digital age ; talents cultivation ; information literacy ; online learning process ; innovation performance ; nature education ; urban residents ; perception ; survey ; sustainable growth ; social-emotional skills ; self-management skills ; solution-focused ; Kids’Skills method ; education partnership assistance ; common prosperity ; balanced and sustainable development ; capacity building ; professional learning communities in interdisciplinary subjects ; teachers’ professional development ; teacher learning ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
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  • 24
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: The World Health Organization recommends the consumption of plant foods instead of animal-origin foods due to their high levels of saturated fat and cholesterol. Consumption of plant products has led to research on the beneficial properties of their components beyond basic nutrients. Vegetable-derived peptides have shown multifunctional effects related to chronic diseases, attracting interest from the food, nutraceutical, and pharmaceutical industries. This reprint highlights studies on various vegetable extracts, such as chestnut, quinoa, amaranth, buckwheat, and Protium heptaphyllum gum resin, which have demonstrated antimicrobial, anti-inflammatory, and cholesterol-regulating properties. Specific compounds derived from plants, such as methyl p-coumarate and lupin protein hydrolysate, have shown effectiveness in reducing inflammation and anxiety, respectively. A vegetable extract of rosemary has been studied for its potential to treat osteogenesis imperfecta. Moreover, this repprint reviews Lycium barbarum berries, essential oils from Annonaceae species, antioxidant compounds, phytosterols, and natural compounds for the prevention and treatment of oral mucositis was discussed. Overall, these studies suggest that vegetable-derived bioactive compounds could serve as new nutraceuticals to prevent and treat a wide range of chronic diseases.
    Keywords: hypercholesterolemia ; gene expression ; HMGCR ; PCSK9 ; PPARα ; enzymatic activity ; molecular docking ; statin ; monacolin ; breu branco ; seed storage proteins ; peptides ; anti-inflammatory ; antioxidant ; trypsin inhibitors ; quinoa ; amaranth ; buckwheat ; in vitro gastro-intestinal digestion ; natural products ; Brazilian species ; essential oil ; applications ; phytosterols ; neurodegeneration ; Alzheimer’s disease ; blood brain barrier ; obesity ; oxidative stress ; dyslipidemia ; diabetes ; enzyme-assisted extraction ; plant material ; phenolic compounds ; oligosaccharides ; prebiotic ; nanocellulose ; nanofibers ; fermentation ; sustainability ; cancer ; drug delivery ; oral mucositis ; treatment ; lupin ; protein hydrolysates ; anxiety ; ApoE−/− ; functional foods ; peptidomics ; rosemary extract ; collagen type I ; unfolded protein response ; autophagy ; proteasome ; skin fibroblasts ; apoptosis ; osteogenesis imperfecta ; asthma ; methyl p-coumarate ; Th2 cytokines ; eosinophil ; NF-κB ; Castanea sativa shells ; Subcritical Water Extraction (SWE) ; antimicrobial activity ; goji berries ; pro-healthy effects ; phenolics ; biological properties ; functional ingredients ; in vitro cultures ; Ruta montana ; coumarins ; alkaloids ; antibiofilm formation ; antibacterial activity ; antioxidant activity ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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  • 25
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: We invite you to read the Special Issue on innovation for sustainable business. It is a collection of 7 articles published in a Special Issue of Sustainability MDPI in 2021-2022. Many of the articles in this reprint are related to leadership. In the context of sustainable development, issues such as dynamic capabilities, CSR, succession management and innovative projects were addressed. Sustainable innovation is also considered from other perspectives. One of them is the topic of introducing sustainable innovations to new ventures. In addition, drivers and impacts of eco-innovation were also examined. There was also research in the area of ​​live commerce, which includes the perspective of consumer behavior.
    Keywords: dynamic capabilities ; eco-innovation ; leadership ; corporate social responsibility ; the attitude of future managers towards CSR ; ethical aspects of companies’ operations ; sustainability ; green technologies ; environmental innovation ; industry ; Brazil ; capability ; organization ; survival ; workforce ; live commerce ; hunger marketing ; perceived trust ; perceived value ; impulse buying behavior ; Sustainable Industry 4.0 ; innovative projects ; interdisciplinarity ; project team competencies ; sustainable innovation ; knowledge search ; organizational learning ; strategic flexibility ; new ventures ; QCA ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint focuses on the position of sustainability in engineering and points to the multidimensionality of the issue. Architecture, civil and engineering issues are main themes of discussion, with special attention to research and design. Attention is focused on four thematic groups: energy (including energy harvesting), economy (including building circularity), pro-health activities, and design.
    Keywords: CFD ; mechanical ventilation ; industrial buildings ; thermal comfort ; air quality ; natural environment ; construction sector ; steel ; sustainable development ; cradle-to-gate with options ; Life Cycle Assessment ; life cycle costs ; maintenance costs ; warranty period ; number of use cycles ; building circularity assessment ; material flow model ; building circularity material passport ; building circularity calculation method ; adaption ; landscape pattern ; local microclimate ; comprehensive analysis ; morphological parameters ; space syntax ; façade configuration ; visual perception ; built heritage ; Kaunas ; cultural sustainability ; PV system ; social acceptability ; system dynamics ; CO2 emissions ; feed-in-tariffs ; subsidy policy ; water management ; housing environment quality ; multi-family settlements ; Bio-Morpheme ; greenery ; automated design ; plant selector ; sustainability ; algorithmic design ; landscape design ; BIM ; green BIM ; city breathability ; urban ventilation ; urban air quality management ; blue-green infrastructure ; integrated urban planning ; economic analysis ; marketplace regeneration ; optimisation ; spatial analysis ; urban design ; vibration ; energy harvesting ; green gardens ; multifunctionality ; plus-energy building ; thermal stack ; solar energy ; integrated design ; prefabricated rural housing ; PEST ; entropy weighted TOPSIS ; implementation potential ; Chongqing ; n/a ; urban planning ; building layout ; energy demand ; climate ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 29
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Publication Date: 2023-04-05
    Description: This reprint includes papers from different research fields, reflecting the sectional talks presented at the 9th edition of the Scientific Conference of the Doctoral Schools from the “Dunărea de Jos” University of Galaţi, which took place in June 2021. The objective of the 2021 Conference was to bring together perspectives and challenges in doctoral research in a common forum and to provide a platform enabling doctoral researchers to meet and share state-of-the-art developments in their fields. It consists of 16 papers presented at the 9th edition of the Scientific Conference of the Doctoral Schools from the “Dunărea de Jos” University of Galaţi, in several fields such as: mechanical and industrial engineering, food science and biotechnology, electrical/electronic engineering, systems engineering and information technologies, chemistry, electrochemistry, and economic models and strategies.
    Keywords: incremental pumps ; profiling of generating tools ; helical surfaces ; Romania ; coastal area ; wind energy ; measurements ; IEC classes ; wind turbines ; mass tourism ; management model ; Constanta ; PESTEL ; Black Sea ; sustainability ; eggplant peels ; bioactive compounds ; hydrogels ; anthocyanins ; beetroot peel ; betalains ; polyphenols ; CCD-RSM ; optimal control ; metaheuristic algorithms ; evolutionary algorithms ; simulation ; ventilation on ships ; HVAC requirements ; COVID-19 ; spread the disease ; airborne transmission ; HEPA filtration ; UV disinfection ; heat recovery ; L-tryptophan ; polypyrrole ; sensor ; amino acid ; cyclic voltammetry ; chronoamperometry ; atorvastatin ; carbon nanotubes ; gold nanoparticles ; Hippophae rhamnoides L. ; carotenoids ; flavonoids ; antioxidant activity ; microencapsulation ; modulation ; electromagnetic disturbances ; electromagnetic compatibility ; military ship ; communication systems ; navigation conditions ; Danube River ; management tool ; quality function deployment ; house of quality ; enwrapping surfaces ; profiling ; geometrical methods ; tower ; wind turbine ; load ; offshore wind ; marine renewable energy ; living labs ; design thinking ; coastal zone ; integrated coastal zone management (ICZM) ; Romanian coastal zone ; Black Sea basin ; wind parameters ; historical data ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint presents groundbreaking discoveries, practical techniques, and rigorous analyses related to the cultivation, preparation, and exploitation of mycelium composites. The papers cover a wide range of topics, including functional modifications of mycelium with inorganic particles, modifying and assessing the mechanical properties of mycelium composites, strategies for improving the flexural behaviour of composites, beehives from fungal materials, bio-welding and reinforcement of composites, bioreactors for fungal production, co-production of composites by fungi and bacteria, growing large-scale mycelium structures, sound absorption by composites, and the geometrical parameterisation of fungi. This informative compendium of techniques, methods, and insights on growing fungal material appeals to readers from all walks of life, from high school pupils to university professors, from mathematicians, computer scientists, and engineers to chemists, from craft practitioners to industrial producers of fungal materials, and from biologists to architects and artists.
    Keywords: mycelium-based composites ; additive manufacturing ; bio-based materials ; circular construction ; digital fabrication ; mycelium ; bio-composites ; bio-fabrication ; ultrasonic welding ; wood printing ; robotic fabrication ; reinforced composites ; natural fiber reinforced polymers ; NFRP ; growing materials ; rattan ; lightweight structure ; architecture ; structural design ; computational design ; subtractive manufacturing ; circular economy ; compressive structures ; compressive strength ; digital image correlation ; masonry ; growth ; mechanical properties ; materials science ; mycelium-based composite ; biomaterials ; natural composites ; bacterial cellulose ; biocompatibility ; knitted fabric ; material tinkering ; lignocellulosic fibers ; natural fiber reinforcement ; mechanical characteristics ; manufacturing variables ; nanoclay ; fungal fruiting bodies ; parametric design thinking ; plasticity ; linearity ; non-linearity ; biohybrid architecture ; bio fabrication ; living architecture ; beehive ; 3D printing ; mycelium materials ; symbiosis ; multispecies architecture ; healthy materials ; binding capacity ; bio-adhesives ; building biomaterials ; fungal mycelium ; mechanical performance ; acoustic materials ; sound absorption ; fungal architecture ; myceliated material ; living material ; sustainability ; biotechnology ; compression ; bending ; waste upcycling ; mycoremediation ; myco-materials ; myco-fabrication ; sustainable buildings ; sustainable structures ; architectural design ; material ethics ; modular chain bioreactor ; solid-state fermentation ; mycelium production ; Ganoderma lucidum ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Buildings are important consumers of energy; in fact, they represent 30–45% of the global energy use and one-third of total greenhouse gas emissions, as well as contributing to the urban heat-island effect. In consequence, the correct design and execution of buildings, use of new materials that reduce energy demand, and efficient use of renewable energy are all necessary to reduce the impacts that occur during their life-cycle. This book shows some examples, focused on improving the energy-efficiency of buildings, in accordance with circular economy policies and life-cycle phases, including design, construction and use. The editor wishes to thank all the authors for contributing to this book, as well as to the assistance of MDPI’s editorial office.
    Keywords: climate-oriented ; buildings ; building construction ; climate zones ; climate change ; bibliometric ; climate zone ; building ; energy demand ; building resilience ; air quality ; air pollution ; SUNSPACE ; PM removal ; azure chemistry ; circular economy ; sustainability ; SDG 11 ; SDG 12 ; buying intention ; energy-efficient home appliances ; green self-identity ; theory of planned behavior ; waste glass ; light reflectance ; building material coatings ; soda–lime–silica glass ; lead–silica glass ; cool surface ; cool material ; cool roof ; urban heat island ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-08
    Description: This reprint discusses the relation between nonviolence and religion by adopting Mohandas K. Gandhi’s concept of satyagraha as a starting point and by also discussing nonviolent hermeneutics of holy scriptures with a special emphasis on interpretations of the Qur’an. The first part consists of chapters that directly deal with Gandhi’s concept of nonviolence and how it influenced later faith-based peace activists. By reading Gandhi’s active nonviolence through the lens of Judith Butler’s recent work on nonviolence, it engages with contemporary discussions about violence and nonviolence and also reflects on how nonviolence relates to gender. It also looks at how Gandhi related to different religions and further broadens the usual focus on physical violence by addressing economic violence and environmental degradation. Gandhi’s view of Judaism and Zionism is critically discussed in one chapter. The second part comprises contributions that study the use of holy scriptures in relation to (non)violence, its problems, its boundaries and its inspiration. Religious authoritative texts play a major role in the continuation and legitimation of connected belief systems. Again, Gandhi’s own nonviolent hermeneutics of holy scriptures are investigated and his interpretation of the biblical figure of Daniel is especially discussed. Three contributions deal with the interpretation of the Qur’an and its potential for nonviolence. A concluding chapter provides a range of hermeneutic guidelines for an Islamic theology of nonviolence.
    Keywords: Gandhi ; interreligious theology ; Judaism ; Zionism ; satyagraha ; nonviolent resistance ; Butler ; performativity ; relational ontology ; sustainability ; nonviolence ; Catholic social thought ; alternative development ; liberation theology ; religions ; suffering ; tradition ; swaraj ; M.K. Gandhi ; R. Girard ; mimetic rivalry ; Sermon on the Mount ; spiral of violence ; detachment ; religion ; fear of death ; conscientious objection ; Christianity ; conscription ; pacifism ; holy disobedience ; nationalism ; conservativism ; political theology ; Yoram Hazony ; family ; liberal democracy ; Qur’an ; violence ; God-consciousness ; hermeneutics ; scriptures ; Bhagavad Gita ; Bible ; Paul ; history of reception ; Jawdat Saʿid ; Syria ; Islam ; Abel ; Cain ; Islamic theology ; Tafsīr ; Qurʾānic exegesis ; Islamic reform ; modernity ; history ; Chenoweth ; gender ; creative transgressions ; revolution ; Old Testament/Hebrew Bible ; Daniel ; Socrates ; apocalypses ; n/a ; bic Book Industry Communication::H Humanities::HR Religion & beliefs ; thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: The papers published in this Special Issue report on recent studies investigating the exploitation of by-products produced by the food industry. The topics investigated include the extraction setups used for valuable food waste by-products and their applications as adjuncts to food preparation; the appropriate selection of solvents and extraction processes; and the interactions between extracted fractions and supplementary foods. The papers evaluate a wide variety of foodstuffs and provide results regarding the extension their shelf-lives and activities as functional foods.
    Keywords: by-product ; rheological properties ; optimization ; melting profile ; antioxidant activity ; mayonnaise ; olive mill wastewater ; oxidative stability ; phenolic extract ; pork ; fatty acid ; amino acid ; mineral ; meat ; sustainability ; spent biomass ; prebiotic potential ; enzymatic digestion ; biorefinery ; circular economy ; by-products ; ovine scotta ; bioactive peptides ; bromelain ; pancreatin ; dipeptidyl peptidase IV inhibition ; ovine second whey cheese ; enzymatic hydrolysis ; wasted bread ; bioprocessing ; lactic acid bacteria ; soil amendment ; byproducts ; vegetable oil industry ; phenolics ; flavonoids ; photochemiluminescence ; cold-pressed oil by-product ; gum ; thixotropic behavior ; low-fat vegan mayonnaise ; thickeners ; gelling agents ; tomato pomace ; lycopene ; β-carotene ; extraction ; food by-products ; deep eutectic solvents ; non-thermal drying ; stilbene ; vine shoots ; viticulture waste ; trans-resveratrol ; ε-viniferin ; Italian varieties ; no-waste ; omega-3 ; smart sensors ; reuse ; fish oil industry ; recovery ; chemometrics ; lipid profile ; aquafaba ; cold-pressed oils ; confocal laser scanning microscopy ; egg replacement ; physicochemical properties ; radical scavenging activity ; vegan mayonnaise ; Amberlite resin ; hazelnut skin ; polyphenols ; Pinot noir pomace ; solid–liquid extraction ; valorization ; fatty acids ; derivatization ; cranberry pomace ; dietary fiber ; technological properties ; kiwi byproducts ; probiotic ; prebiotic ; Lactobacillus casei ; ingredients ; functional foods ; microbial spoilage ; lipidic oxidation ; antioxidant ; predictive microbiology ; food preservation ; food safety ; sustainable strategy ; by-product reuse ; kinetic parameters ; Olea europaea ; waste reuse ; inulin ; high polymerization degree ; functional pasta ; glycemic index ; prebiotics growth ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The sustainable development of our planet depends on the use of energy. The increasing world population inevitably causes an increase in the demand for energy, which, on the one hand, threatens us with the potential to encounter a shortage of energy supply, and, on the other hand, causes the deterioration of the environment. Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play their role by affecting the behavior of households and companies and by causing behavioral change oriented to energy stewardship, with an overall switch to renewable energy resources. This reprint provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate driving societies toward long-term energy efficiency.
    Keywords: natural resources ; globalization ; energy ; nonparametric causality in quantiles ; energy security ; power market ; near-zero emission technologies ; oxy-fuel combustion cycles ; emission rights sales mechanism ; economic assessment ; Oil Companies ; innovations ; investments in R&amp ; D ; forecasting the Innovation activities ; industry 4.0 ; Agenda 2030 ; sustainable human development ; measuring development ; energy sustainability ; indirect measurement ; composed indexes ; forecasting ; linear regression ; planning ; polynomial regression ; power supply ; green building ; housing projects management ; sustainable construction ; renewable energy sources ; real estate developers ; deviation ; energy dependence ; energy efficiency management ; energy saving ; cost ; risk limit ; energy industry ; energy supply ; energy intensity ; energy efficiency ; energy industry risks ; dilemma ; development ; Kazakhstan ; energy transitions ; Latin America ; power system ; sustainability ; economic growth ; pollution ; renewable energy ; oil and gas industry ; investments ; rating ; competitiveness ; financial analysis ; risk ; profitability ; merchandising technologies ; correlation ; scenario ; social development ; optimization ; investment ; financial portfolio ; financial leverage ; integral rating ; industry rating ; high-tech company ; decision-making ; minimax ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Keywords: data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint explores the challenges faced by Europe as it transitions to renewable energy sources to reduce carbon emissions and enhance energy security. With 10 articles covering various countries and sectors, the book delves into issues such as solar and wind energy intermittency, the role of energy policies, and the integration of energy grids and markets. The collection also includes studies on the impact of energy policies on residential energy efficiency, the use of financial incentives for eco-friendly housing, and the benefits of district heating. The reprint aims to provide policymakers, academics, and practitioners with valuable insights into the current state of renewable energy in Europe and the policies and actions that can be taken to achieve a sustainable energy future.
    Keywords: energy efficiency ; econometrics ; EPCs ; incentive policies ; Portugal ; natural gas ; carbon dioxide emissions ; economic growth ; consumption of renewables ; renewable energy ; energy transition ; energy security ; energy policies ; electricity prices ; biofuel ; levelized cost of heat ; heat supply ; thermal energy ; delivery costs ; environmental tax rates ; solid fuel boiler ; clean technologies ; financial development ; pollutant emission ; renewable energy consumption ; Sub-Saharan Africa (SSA) ; coal supply ; model of production type ; flow representation ; domestic production and imports ; district heating ; combined heat and power ; review ; energy policy ; eco-friendly houses ; energy economics ; Lisbon ; sustainability ; statistical analysis ; sustainable development ; green investment ; green growth ; green energy ; electromobility ; development conditions ; market sectors ; data analysis ; statistical methods ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Water resource management includes the consideration of all disciplines of hydrology and water sources. Water supplies are allocated and diverted to cover the water needs of a range of agricultural, municipal, industrial, hydro-electrical, and ecological water uses. These water uses are, usually, very competitive, as the available water resources are limited and it is not possible to cover the total water needs in a basin, requiring the setting of water use priorities to best serve societal and ecological needs. To manage the water resources and waterworks may, sometimes, lead to confrontational deliberations and negotiations. As a result, water resource management is one of the world’s greatest challenges due to competition for limited resources, regional disparities in water supply and affluence, mounting global water demand, aquifer depletion, and pollution- and climate-change-induced water stress. Proper policy and governance for sustainable water resource management is essential and require new fresh ideas, innovation, and international cooperation. This book includes seven papers by invited renowned researchers and engineers to cover issues of water resource management, governance, and policy. These issues include the following topics: Integrated water resource management; Water resource systems and water availability; National and international water policy, institutional arrangements, and water law; Water conflict resolution, public participation, and decision making; Water resource management, policy and governance in socially and environmentally sensitive areas and regions.
    Keywords: water allocation ; planning ; river/reservoir systems ; water availability modeling ; global change ; integrated assessment modelling ; system dynamics simulation ; water resources management ; water supply ; climate change ; earth system ; feedback ; conflicts ; environmental flows ; small-scale hydropower projects ; institutional change ; nestedness ; governance mode ; legal pluralism ; mulberry-dyke-fish pond ecosystem ; spatial evolution analysis ; remote sensing ; Guangdong–Hong Kong–Macao Greater Bay Area ; prolonged drought ; scarcity ; indicators ; transboundary river basins ; Iberian Peninsula ; climate crisis ; water adaptation ; Greece ; Koronia lake ; sustainability ; Mygdonia Basin ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-04
    Description: Due to its low adaptability to climate change, the MENA region has become a "hot spot". Water scarcity, extreme heat, drought, and crop failure will worsen as the region becomes more urbanized and industrialized. Both water and food scarcity are made worse by civil wars, terrorism, and political and social unrest. It is unclear how climate change will affect the MENA water–food–energy nexus. All of these concerns need to be empirically evaluated and quantified for a full climate change assessment in the region. Policymakers in the MENA region need to be aware of this interconnection between population growth, rapid urbanization, food safety, climate change, and the global goal of lowering greenhouse gas emissions (as planned in COP27). Researchers from a wide range of disciplines have come together in this SI to investigate the connections between water, food, energy, and climate in the region. By assessing the impacts of climate change on hydrological processes, natural disasters, water supply, energy production and demand, and environmental impacts in the region, this SI will aid in implementation of sustainable solutions to these challenges across multiple spatial scales.
    Keywords: drought ; flood ; standard precipitation index ; rainfall anomaly index ; soil conservation service-curve number ; high-heat devices ; electronics cooling ; thermal management ; CFD ; heat transfer enhancement ; microchannels ; inserts ; greenhouse gases ; geospatial analysis ; remote sensing ; Arabian Peninsula ; climate change ; rainwater harvesting ; arid areas ; metrologic analysis ; hydrologic modeling ; AHP ; decolorization ; direct red-81 ; graphene ; methylene blue ; nitrate reductases ; operating parameters ; zero-valent iron ; water pricing ; urban infrastructure ; multi-block pricing ; externality costing ; single-block pricing ; urban warming ; urban bias ; land surface temperature ; MODIS ; GAIA dataset ; Mann–Kendall test ; Theil–Sen estimator ; CO2 absorption ; MEA ; membrane contactor ; porosity ; pore size ; natural convection ; melting PCM ; enthalpy-porosity method ; mushy zone parameter ; adsorption ; membrane ; adsorptive membrane ; activated carbon ; dye removal ; hybrid membrane ; solar concentrator ; thermal ; helical rotating shaft ; active methods ; GIS ; Nile Delta region ; modified DRASTIC-LU ; groundwater vulnerability ; geospatial technique ; energy hub ; cogeneration systems ; Archimedes optimization algorithm ; sustainable ; emissions ; water management ; irrigation water requirements ; CROPWAT model ; numerical simulation ; turbulent flow ; plate heat exchanger ; sand and dust storms ; hydrology ; surface and ground water changes ; spatial-temporal analysis ; Middle East ; assessment ; protection structures ; inundation ; hazards ; shoreline changes ; Nile Delta ; modeling ; biogas ; methane ; landfill of Mohammedia ; upgrading ; gold nanoparticles ; instant nanosynthesis ; urchin-shaped nanogold ; green capping agent ; biocompatible nanogold ; groundwater salinization ; ion ratios ; stable isotopes ; seawater mixing index (SMI) ; northwest coast ; weighted overlay model ; analytical hierarchical process (ahp) ; thematic layers ; biochar ; croplands and rangelands ; carbon sequestration ; organic manures ; aquaculture ; sustainability ; Egypt ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In order to build a promising future, health and sustainability must be interelated. Marine, forestry, agriculture, and food systems are important sources of bioproducts used in health applications. To explore the potential of such sources for the development of natural products capable of biological activities, it is necessary to develop new technologically sustainable strategies. Despite the range of natural compounds already available, there is a need to identify bioactive molecules (e.g., polysaccharides, proteins and peptides, polyunsaturated fatty acids, and polyphenols) from different natural sources with positive health properties, including antihypertensive, antidiabetic, anti-obesity, antimicrobial, anti-atherosclerotic, antioxidant, antithrombotic, immune-modulatory, relaxing, and satiety-inducing effects. The Second Edition of this Special Issue aimed to identify and gather works on the latest varied sources of bioproducts, the biological and functional activities of these bioactive compounds, their mechanisms of action, and the methods used for extraction and purification, without losing our focus on alignment with the concept of green technology.
    Keywords: Lavandula coronopifolia ; Culex pipiens ; larvicidal ; antibiofilm formation ; LC-MS/MS ; molecular networking ; valonea tannin ; hydrolysable tannin ; tyrosinase ; enzyme binding ; enzyme inhibition ; inhibition mechanism ; grape by-products ; ohmic heating ; conventional methods ; biological properties ; phenolic compounds ; anthocyanins ; antimicrobial ; antioxidant activity ; honey ; wound-healing ; antioxidant ; hydrogels ; dermal repair ; hydrogel ; jackfruit seeds flour ; functional properties ; dietary fiber ; prebiotic ; anticancer activity ; bacteriophage ; endolysin ; enzybiotics ; biopreservation ; anti-hypertensive ; proteins ; sustainability ; marine species ; marine hydrolysates ; gastrointestinal health ; natural anti-inflammatory ; natural antioxidant ; natural anti-cancer ; nutraceutical ; watercress ; ADME ; apoptosis ; Bursatella leachii ink ; caspase ; target prediction ; TP53 ; liver cancer ; HIF-1α ; hypoxia ; metastasis ; angiogenesis ; cancer stem cells ; natural compounds ; synthetic drugs ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint is the result of a Special Issue, which took place in the International Journal of Environmental Research and Public Health (IJERPH) during 2022-2023. The general topic of the reprint discusses the different uses, protection and promotion of food, always from a broad perspective, through 15 innovative research papers, from both qualitative and quantitative methodological approaches.
    Keywords: health ; values and preferences ; red meat ; processed meat ; cross-sectional study ; mixed methods ; explanatory sequential ; survey ; food consumption ; well-being ; dietary patterns ; sustainable consumption ; consumer behaviour ; food well-being ; subjective well-being ; social influence ; food choice ; climate-friendly eating ; social media ; political consumerism ; children’s health ; functional diversity ; commensality ; self-esteem ; shame ; loneliness ; aquaculture ; food heritage ; carp ; consumer preferences of Young Adult Populations ; marketing place ; sustainability ; consumer attitudes ; organic food ; consumer behavior ; sustainable food ; food surveys ; food change ; food policies ; sociology of food ; obesity ; edible insects ; alternative proteins ; planetary health ; systematic review ; gastronomic routes ; Iberian ham ; olive oil ; wine ; Córdoba ; ARIMA ; food ; gastronomic tourism ; social media data ; outdoor dining environment preference ; rural restaurants ; human-oriented ; rural sustainable development ; food label ; consumer purchase intention ; attitude ; food delivery app ; online food delivery ; online-to-offline (O2O) ; COVID-19 ; post-pandemic ; thematic review ; food preferences ; entomophagy ; nutrition surveys ; food neophobia ; cultural domains ; pile sorts ; food risk ; trust ; distrust ; pregnancy ; breastfeeding ; prehabilitation ; ERAS ; endometrial cancer ; surgery ; protein supplementation ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This Special Issue on MNEs, sustainability, and innovation contains a collection of 13 papers that address several subjects that are on related themes. The authors of these contributions study the boundaries of the previous literature on these relevant topics by providing insightful findings and review, as well as proposals for future research ideas in various contexts. For this Special Issue, we invited both conceptual and (qualitative and quantitative) empirical articles, as well as literature reviews and meta-analysis articles from a range of fields; these included not only business and management, but also sociology, political science, psychology, economics, and economic geography, among others.
    Keywords: multinational ; enterprise ; foreign ; direct ; investment ; sustainability ; innovation ; sustainable ; international ; business ; practices ; corporate ; social ; and ; environmental ; responsibility ; human ; resources ; emerging ; frontier ; markets ; advanced ; markets/countries ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: The focus of this reprint is on environmental planning and modeling. It examines articles on green consumption, biodiversity, and household waste recycling, as well as presenting a review of the trend in publications on household waste recycling. A number of country-based applications are presented and models are used to show how multiple perspectives can be considered in policy making. This reprint will be of special interest to researchers and readers involved in sustainability management. Further, although some chapters present models to solve sustainability problems, they also share policy and decision-making frameworks for applying such models.
    Keywords: bibliometric analysis ; bibliometrix ; household recycling ; research trends ; science mapping ; waste management ; analytic hierarchy process (AHP) ; ecosystem management ; expert opinion ; environmental planning and modeling ; rights-based tool ; multi-criteria decision making ; optimisation ; sustainability ; SWAT model ; water quality ; hydrology ; fertilizer application ; Songkhla Lake Basin ; green consumption ; environmental change ; environmental regulation ; social welfare ; APEX ; open-source software ; QGIS ; QAPEX ; best management practice ; LDC ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This book highlights the latest research findings on sustainability within the context of consumer behaviour. It brings together the collaborative work of researchers from Finland, Denmark, USA, the Netherland, Mexico, Korea, Saudi Arabia, Malaysia, Indonesia, Thailand, Taiwan and China to improve our understanding on consumer behaviour and its relationship with sustainable resource consumption. The thirteen chapters in this book focus on different aspects of consumer behaviour and sustainability, including purchase intentions towards recycled products, environment fit hospitality experiences, purchase intentions of recycling items, consumer loyalty, electric vehicle market consumption, consumption of the educational products, revisit intention, online complaint behaviour, consumer and CSR, eco-friendly behaviour, brand trust and social media consumer communication.
    Keywords: recreationist-environment fit ; guests’ satisfaction ; revisit intention ; guest’ pro-environmental behavior ; green-hotel ; electric vehicle ; theory of planned behavior ; unified theory of acceptance and use of technology ; perceived risk ; intention to use ; religious tourism ; 100 religious attractions ; destination marketing ; consumer behavior ; emotion ; information ; social media ; sustainability practices ; cotton apparel ; sustainable fashion ; dispositional optimism ; explanatory optimism ; eco-friendly tourist behavior ; positive psychology ; green consumer behavior ; customer satisfaction ; online consumer complaining behavior ; hospitality ; cultural differences ; TripAdvisor ; Vietnam ; destination image ; destination regeneration ; consumer ; recycled products ; purchase intention ; VBN theory ; structural equation modeling ; SmartPLS ; corporate social responsibility ; community-based CSR ; community perspectives ; hotel ; legitimacy theory ; entrepreneurial self-efficacy ; perceived lecturers’ entrepreneurial competency ; perceived social support ; entrepreneurial attitude orientation ; flow experience ; loyalty ; GTTT ; electric vehicles ; fashion consciousness ; leadership consciousness ; environmental consciousness ; price consciousness ; interpersonal influence ; market disruption ; luxury ; pre-owned ; purchasing behavior ; second-hand ; sustainability ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This Special Issue aims to highlight how plant breeding could contribute to strengthening sustainability in field crop production by integrating the application of modern technologies and tools. This Reprint contains eleven articles focusing on the most recent topic of plant breeding.
    Keywords: target-site resistance ; ahas ; als ; Triazolopyrimidine herbicide ; Lolium rigidum ; winter cereals ; CO2 enrichment ; drought stress ; WUE ; climate change ; Helianthus ; sunflower ; morphological ; sustainable ; glyphosate ; pesticide ; residue ; pollution ; weed control ; organic plant production ; barley ; Pyrenophora teres f. teres ; net blotch disease ; biotic stress ; superoxide dismutase ; antioxidant enzyme ; cereals ; water shortage ; carbon dioxide ; root development ; Triticum aestivum L. ; wheat ; seed germination ; seedling development ; germination time ; low-temperature stress ; leaf discolouration ; seedling stage ; SSR markers ; near-isogenic line ; rice (Oryza sativa L.) ; pepper ; general defence response ; tissue retention ; hypersensitivity response ; resistance breeding ; Agrobacterium-mediated transformation ; functional genomics ; Solanum lycopersicum L. ; Micro-Tom ; DsRed fluorescence ; Agrobacterium rhizogenes ; soil salinity stress ; adaptation ; environmental share ; interaction ; plant breeding ; sustainability ; pepper breeding ; bacterial spot resistance ; Xanthomonas hortorum pv. gardneri ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Biocatalysis is a sustainable alternative for the chemical industry in manufacturing, monitoring, and waste management. Biocatalytic processes perform with isolated enzymes or whole cells as biocatalysts. Whole-cell biocatalysts offer some unique advantages of cascade reactions catalyzed by multienzymes as well as a single bioredox reaction with cofactor regeneration in a single strain. Therefore, whole-cell biocatalysts are widely applied for biosynthesis/biotransformation to produce value-added chemicals as well as the complete mineralization of organic pollutants.Biological catalytic processing using whole-cell biocatalysts includes biocatalyst engineering, bio-reaction engineering, and downstream processing. In addition to the traditional screening of microbial strains and immobilized whole-cell biocatalysts, modern genetic engineering, metabolic engineering, and synthetic biology make tailored whole-cell biocatalysts possible. At the same time, some integrated processes have successfully been applied in the catalytic processing using living whole-cell biocatalysts, such as harnessing biocompatible chemistry to interface with the microbial metabolism as well as using various separation techniques for in situ product removal.This reprint on “Microbial Biocatalysis” provides a comprehensive overview of the recent developments of catalyst discovery, catalyst modification, and process intensification for whole cell catalysis in fermentation, biotransformation or biodegradation processes.
    Keywords: C058 ; mycelium biofloc ; extracellular polymeric substances ; microcosmic structure ; microflora composition ; acetophenone tolerance ; whole-cell catalyst ; directed evolution ; (R)-1-phenylethanol ; short-chain dehydrogenase/reductase ; trans-cinnamic acid ; p-coumaric acid ; phenylalanine ammonia-lyase ; whole-cell biotransformation ; phenol ; metabolites ; whole genome sequencing ; xenobiotics ; atrazine ; Arthrobacter sp. ST11 ; biodegradation ; nonaqueous-phase liquid ; cadmium ; α-ketoglutaric acid biosynthesis ; Yarrowia lipolytica ; glycerol ; rapeseed oil ; culture conditions optimization ; rabeprazole ; sulfide ; biotransformation ; Cunninghamella blakesleeana 3.970 ; O-demethylation rabeprazole sulfide ; microbial transformation ; phytosterols ; Pickering emulsion ; phase inversion ; plant oil ; α-amylase ; starch hydrolysis ; marine enzymes ; Persian Gulf ; Streptomyces noursei ; nysfungin ; nystatin A1 ; nystatin A3 ; polyfungin B ; UV mutagenesis ; DHEA ; C7-hydroxylation ; Gibberella sp. ; Absidia coerulea ; biopolymers ; aerobic composting ; sustainability ; depolymerization ; enzymes ; nitrilase ; cell immobilization ; nicotinic acid ; reaction optimization ; semi-continuous packed-bed bioreactor ; diclofenac ; immobilization ; toxicity ; sewage treatment ; laccase ; multifunctional enzymes ; secondary metabolic ; synthases ; post-modifying enzymes ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The digital economy has significantly impacted countries throughout the world by contributing to the growth of the economy and the further progress of societies. Recent developments demonstrate that the information and innovation-driven era triggered integration of traditional activities and digital technologies. Moreover, the rise of innovation has been accelerating in emerging industries such as cleantech, the new generation of information technology, biotechnology, and high-end equipment manufacturing. The estimations provided by the World Economic Forum predict that “new value creation over the next decade will be based on digitally enabled platform business models”. Therefore, organizations must change the traditional approaches adopted and capture value in the context of digital disruptions. These tendencies raise a number of management challenges that need to be solved by the efforts of the scientific community. Therefore, this Special Issue provides the platform for a fruitful discussion and the development of relevant theories.
    Keywords: leadership behaviors ; e-training ; employment security ; stress management ; employee performance ; teaching staff ; digitalisation ; hospital ; optimisation of resources ; equipment/facilities ; COVID-19 ; benefits ; savings ; leadership styles ; high-involvement human resource management practices ; small and medium enterprises ; digital era ; active learning ; growth mindset ; self-efficacy ; engagement of employees ; adaptive performance ; innovation management ; digital entrepreneurship ; creative industries ; tourism ; creative entrepreneurship ; research agenda ; e-government ; digital management ; e-leadership ; technologies ; municipalities ; stablecoins ; risks in business economics and finance ; digital trading and investment platforms ; economic sanctions ; digital currencies ; customer loyalty ; perceived service quality ; relational benefits ; relationship quality ; sustainability ; bibliometric analysis ; Scopus ; digital transformation ; labor market ; labor productivity ; unemployment ; Saudi Arabia ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint covers the latest developments in the field of eco-polymeric materials and natural polymer processing and utilization, highlighting cutting-edge research focusing on the processing of advanced polymers and their composites. It demonstrates that the field of eco-polymeric materials and natural polymers is still gaining increased attention. Innovative approaches as well as advanced applications of eco-polymeric materials and natural polymers in different fields, such as energy, environment, biomedical, biomaterial, and engineering, are reported in this reprint.
    Keywords: outdoor wood mats-based engineering composite ; wood-degrading fungi ; decay resistance ; durability ; nanohydrogels ; citral ; sustained-release ; mechanism ; bamboo ; anti-mould ; rosin modification ; round bamboo culm ; visual characteristics ; eye tracking ; surfactant ; urea-formaldehyde resin ; laminated bamboo veneer ; gluability ; wood–plastic composites ; heat transfer modeling ; sweet sorghum ; high-density polyethylene ; hot-pressing ; fibrovascular bundle ; salacca frond ; modified orientation board ; citric acid ; Aquilaria crassna wood ; natural rubber ; antifungal ; lignin ; proteins ; compression performance ; load–displacement curves ; digital image correlation (DIC) ; failure mode ; coupling agent ; interfacial bonding ; oriented strand–thermoplastic composites ; wood veneer–thermoplastic composites ; cross-laminated timber ; stability coefficient ; axial compression ; timber structures ; slenderness ratio ; Chinese pine wood ; pine needles ; bamboo culms ; bamboo leaves ; industrial hemp hurd ; CMC ; DS ; mechanical properties ; TG ; XRD ; FTIR ; chitosan ; tartaric acid ; nanocrystal ; self-assembly ; evaporation ; dehydration of crystallization ; biopolymers ; sustainability ; emergy accounting ; polyhydoxyalkanoates ; slaughterhouse residues ; poly(lactic acid) ; impact modifier ; polymer blends ; properties ; multilayered bamboo fiber ; topochemistry ; microscopic imaging ; gradient micromechanics ; core–shell structure ; hydrogel ; double load ; response surface ; acidic treatment ; colour ; mould-resistant ; starch ; Phyllostachys pubescens ; fibre ; lignification ; micro-morphological regions of cell wall ; syringyl lignin ; guaiacyl lignin ; visible-light spectrophotometry ; electrochemical method ; moisture content ; shrinkage strain ; wood water loss ; konjac glucomannan ; oxidized hyaluronic acid ; hydrogels ; tung oil ; thermal treatment ; color ; cellulose fibers ; adsorption ; Cr(VI) ; sulfhydryl-modified ; water resistance ; bamboo scrimber composite ; bonding interface ; polymer soil consolidation agent ; preparation conditions ; consolidated adhesive film ; compressive strength ; seedling transplanting ; chemical change ; thermal property ; delignification ; pyrolysis ; bamboo microstructure ; shear performance ; test methods ; moso bamboo ; fracture behavior ; shearing characteristics ; transparent bamboo ; optical properties ; functionalization and application ; glycerin ; sodium alginate ; tensile strength ; elongation at break ; poplar ; cell walls ; cross-linking modification ; wood properties ; egg white hydrogel ; dual cross-linking ; metal ions ; secondary structure ; biocompatibility ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint examines regulatory, pricing and reimbursement issues related to the market access and uptake of off-patent biologics, biosimilars, next-generation biologics and competing innovative medicines in European countries.
    Keywords: infliximab ; etanercept ; TNFα inhibitors ; biologics ; biosimilars ; Germany ; policies ; incentives ; uptake ; market dynamics ; biosimilar market ; biosimilar/supply and distribution ; biosimilar sustainability ; Delphi technique ; pricing ; reimbursement ; utilization ; biosimilar ; biological ; information ; education ; communication ; patient ; Europe ; adalimumab ; biosimilarity assessment ; quality attributes (QAs) ; potentially critical quality attributes (pCQAs) ; European public assessment reports (EPARs) ; clinical governance ; Spain ; barriers ; regulatory ; review ; approval ; clinical ; queries ; regulatory science ; budget impact analysis ; savings ; pharmaceutical spending ; cost containment ; reference biological ; competitive market ; Belgium ; trastuzumab ; intravenous ; subcutaneous ; HER2-positive breast cancer ; drug costs ; healthcare costs ; cost simulation ; tender ; procurement ; off-patent ; award criteria ; switching ; interchangeability ; sustainability ; competition ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KND Manufacturing industries::KNDP Pharmaceutical industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Keywords: UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Keywords: HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This book highlights the role of research in Ecosystem Services and Land Use Changes in Asia. The contributions include case studies that explore the impacts of direct and indirect drivers affecting provision of ecosystem services in Asian countries, including China, India, Mongolia, Sri Lanka, and Vietnam. Findings from these empirical studies contribute to developing sustainability in Asia at both local and regional scales.
    Keywords: coast ; Odisha ; Brahmani River ; climate resilience ; water management ; water quality ; hydrological simulation ; management plan ; water-energy nexus ; spatial water variability ; climate change ; thermal power plant ; Ganges River basin ; 3Rs program ; landscape sustainability ; municipal solid waste ; pig farming ; resource circulation ; resource use efficiency ; urban–rural nexus ; zero-waste lifestyle ; herder ; rangeland degradation ; perception ; traditional rangeland management practices ; Mongolia ; expansion of impervious surface ; underground space development ; deep soil excavation ; SOC loss in deep soil ; urban renovation ; Guangzhou city ; ecological sensitivity ; ecosystem service values ; CA-Markov model ; urban expansion ; Three Gorges Reservoir area ; land use ; ecosystem services ; InVEST ; topographic index ; ecosystem pattern ; wetland ecosystem ; urban wetland ; wetland ecosystem services ; Muthurajawela Marsh ; Negombo Lagoon ; sustainability ; land change modeling ; scenario modeling ; wind erosion prevention service ; revised wind erosion equation ; geo-detector ; food-energy-water security ; nexus ; weighted mean method ; indicator framework ; circulating ecological sphere ; Nagpur ; land use change ; ecosystem service value ; patch-general land use simulation (PLUS) model ; Guanzhong Plain Urban Agglomeration ; heat stress ; WBGT index ; humidex index ; public perceptions ; payment for watershed ecosystem services ; willingness to pay ; willingness to accept ; public participation ; village tank cascade system ; land use systems ; ecosystem services mapping ; ecosystem services trade-offs ; ecosystem services-based ecological restoration ; land-use change ; hotspot analysis ; Geodetector ; central Yunnan urban agglomeration ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Keywords: wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Food systems are under increasing pressure. They must meet the food requirements of a growing world population, and socio-economic changes also influence the type of foods which are under demand. At the same time, food systems are a major contributor to global environmental change, and environmental changes adversely impact agricultural productivity. This Special Issue explores opportunities and challenges towards achieving more sustainable food systems. Essential changes required in food systems are highlighted, such as more effective food distribution, the avoidance or valorisation of food waste, and less meat consumption. How to actually achieve these required changes across food value chains is also presented. This Special Issue supports solution-oriented approaches towards addressing one of most complex challenges of this century. The reader is invited to study the publications included in this Special Issue in detail.
    Keywords: consumer attitudes ; meat avoiders ; meat reducers ; environmental concerns ; global warming ; climate change ; sustainability ; ecology ; planetary health ; food security ; land ; land use consolidation ; land-use planning ; land tenure ; rural development ; Rwanda ; tenure responsive ; tenure responsive land-use planning ; tenure security ; demographic correlates ; food access ; household ; food insecurity experience scale ; Zanzibar ; sub-Saharan Africa ; vulnerability of food systems ; food neophobia ; environmental concern ; global environmental change ; behavior change ; willingness to pay (WTP) ; organic foods ; China ; Bibliometrics ; food rescue ; convention center ; greenhouse gas emissions ; landfill diversion ; anaerobic digestion ; codigestion ; food waste ; organic waste ; energy and resource recovery ; food waste disposal ; loss aversion ; dead hogs ; policy evaluation ; hog production ; chilli pepper ; organic manure ; application rate ; elevated temperature ; rain-shelter plastic house ; greenhouse ; field ; maize ; agrobiodiversity ; traditional food systems ; local knowledge ; cultural practices ; sustainable agriculture ; supply chain coordination ; supply chain sustainability ; livestock industry ; guanxi ; trust ; dynamic environment ; repeated purchase intention ; agricultural food system ; food policy ; food system sustainability ; urban agriculture ; local development ; food governance ; stakeholder engagement ; food systems ; global food regimes ; innovation ; political–economy ; social–ecological systems ; transformation ; regime shifts ; resilience ; sustainability in the food sector ; food supply chains ; food insecurity ; food waste and loss ; innovation and change ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: The aim of this reprint is to provide more awareness of the use of biobased polymers and biomaterials in numerous aspects of our daily-used items. This reprint presents recent progress in the preparation of biobased composite materials utilizing biopolymers and biomaterials for potential multifaceted applications.
    Keywords: biopolymers ; intelligent food packaging ; bioactive natural compounds ; biodegradable ; shelf-life ; sustainability ; alginate ; drug delivery system ; formulations ; administration route ; controlled release ; wound healing ; extraction methods ; biopolymer blend electrolyte ; EIS and FTIR ; ion transport parameters ; complex permittivity ; LSV and TNM measurements ; chitosan ; natural polymer ; biomedical applications ; drug delivery ; tissue engineering ; gelatine hydrogel ; laccase detection ; inhibitor screening ; substrate specificity screening ; storage stability ; microbial cultivation ; hydrogel dressings ; licorice root extract ; silver nanoparticles ; wettability ; cytotoxicity ; tensile strength ; sorption ability ; natural gums ; polysaccharides ; edible polymers ; coating and film ; active packaging ; curcumin nanoemulsion ; cheese ; ultrasound ; SEM ; self-life and sensory analysis ; biomimetic materials ; bone defect ; chemical elements ; polymers ; phosphate adsorption ; zeolite ; ZrO ; Fe3O4 ; Box–Behnken design ; mechanical stability ; oxygen delivery ; cardioplegic solution ; α-cyclodextrin ; cyclic nigerosyl-nigerose ; nanosponges ; prolonged release ; hypothermia ; organ transplantation ; organ explantation ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Keywords: fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The provision of affordable housing for low-income households is a very complex issue that has long been debated in many countries around the world. Social housing (SH) is one of the tools for achieving fairness, social sustainability, and economic feasibility, and it is interrelated with politics, ethics, and economics, as well as the environment, architecture, and technology. In other words, national and local policies, as well as public and private financial resources, are all needed to provide SH.SH also involves social and urban transformations and is, consequently, linked to urban planning and redevelopment projects, real estate market dynamics, and cooperation between public and private stakeholders. Furthermore, decision-making on SH policies and projects has to be supported by assessments of economic feasibility and social and environmental sustainability.This volume presents studies on various topics to recompose the multi-faceted subjects of social housing within a unified framework.
    Keywords: real estate appraisal ; capital gain ; financial feasibility ; economic sustainability ; public–private partnership ; risk assessment ; social housing ; urban regeneration ; urban rent ; affordable prices ; discounted cash flow analysis ; road infrastructures ; social sustainability ; mass appraisal ; Regional Strategic Intervention Programs ; multi-criteria analysis ; stakeholder analysis ; NAIADE method ; public housing neighborhoods ; project-induced effects ; assessment framework ; multi-criteria decision-making model ; housing affordability ; housing policy ; affordable housing ; Malaysia ; young adults ; renters ; housing costs ; parental supports ; discriminant analysis ; regression analysis ; independent living ; Nigeria ; strategies ; housing tenure ; low-income earners ; sustainability ; critical junctures ; housing delivery ; public-private partnership ; Vision 2030 ; Saudi Arabia ; affordable rent ; cluster analysis ; social fairness ; community acceptance ; housing accessibility ; India ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The sustainable development of agriculture is not only dependent on economics and policy but also relies on decisions to increase sustainability through either (1) specialization (e.g., sustainable intensification) or (2) diversification (e.g., ecological intensification). Understanding the historical context of the region being evaluated is critical to selecting ideal development strategies. Depending on the emphasis on either specialization or diversification, sustainable development can follow different pathways. Specialization during agricultural development is typically concentrated in specific geographic areas with comparative advantages in terms of agricultural production. However, tradeoffs to agricultural specialization include greater reliance on purchased external inputs, greater dependence on government support, and international and interregional interdependence. Addressing the economic and environmental challenges of specialized agricultural production requires a focus on detailed models and field experiments to help balance productivity with reduced environmental impacts. Diversification can incorporate both enterprise diversification as well as ecological intensification strategies, such as integrating livestock and agroforestry with crops. Despite the promises of maintaining the diversity of small shareholders in the developing world, challenges remain. Regional case studies can be used to inspire and implement diversified agricultural systems for the creation of more sustainable future food systems around the world.
    Keywords: consumers’ food preference ; contingent valuation ; purchasing power ; market prospects ; rural economy ; sustainability ; agricultural development ; agricultural economic cycle ; agricultural policies ; binary outcome models ; off-farm ; rural development ; principal component analysis ; wage employment ; child health ; commercialization potential ; conservation status ; livelihood ; policy ; sustainable ; agricultural mechanization ; structural equation model (SEM) ; partial least square (PLS) ; affecting factors ; agri-food supply chain ; almond nuts ; export demand ; retaliatory tariff policy ; feed brand loyalty ; switching behavior of egg producers ; egg-producing farmers ; logistic regression ; edible beans ; planting behavior ; high quality ; multilevel model ; determinants ; China ; “Belt and Road” ; agriculture products ; trade structure ; social networks ; QAP ; content-based analysis ; media coverage ; spatiotemporal distribution ; sustainability trade-offs ; Targeted Poverty Alleviation Strategy ; industry chain ; government grants ; technological innovation in agricultural enterprises ; R&D investment ; fast growing tree plantations ; inherently nutrient-poor soil ; improved germplasms ; increased stand wood biomass ; healthier soils ; sustainable development goals ; diversity indexes ; cultivars ; livestock breeds ; Maine ; climate change ; farm irrigation facilities ; agriculture total factor productivity (TFP) ; technical advancement ; roadside vegetation ; reduced mowing ; pollinators ; ecotypic seed ; native plant material ; human food ; Opuntia stricta ; organic production ; non-conventional vegetable ; soluble solids ; agrometeorological modeling ; multiple linear regression ; statistical model ; sugarcane ; yield prediction ; agricultural frontier ; Brazil ; land conversion ; land use ; southern Amazon ; supervised classification ; Teles Pires River ; territorial dynamics ; agricultural education ; agricultural producers ; agricultural professionals ; education and learning processes ; questionnaires ; rural extension ; environmental impact ; soil conservation ; water erosion prediction ; watershed ; WEPP parameters ; Amazon ; beef ; deforestation ; environmental impacts ; greenhouse gases ; livestock intensification strategies ; Cerrado-Amazon ; crops ; geoprocessing ; GIS ; mapping ; rainfall simulator ; satellite images ; soil erosion ; ecological forest ranger ; policy satisfaction ; fuzzy set ; qualitative comparative analysis ; influencing factors ; Amazonia ; Google Earth Engine ; hydro-sedimentology ; reflectance ; satellite imagery ; available water capacity ; hydraulic conductivity ; pore distribution curve ; retention curve ; soil texture ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The provision of affordable housing for low-income households is a very complex issue that has long been debated in many countries around the world. Social housing (SH) is one of the tools for achieving fairness, social sustainability, and economic feasibility, and it is interrelated with politics, ethics, and economics, as well as the environment, architecture, and technology. In other words, national and local policies, as well as public and private financial resources, are all needed to provide SH.SH also involves social and urban transformations and is, consequently, linked to urban planning and redevelopment projects, real estate market dynamics, and cooperation between public and private stakeholders. Furthermore, decision-making on SH policies and projects has to be supported by assessments of economic feasibility and social and environmental sustainability.This volume presents studies on various topics to recompose the multi-faceted subjects of social housing within a unified framework.
    Keywords: real estate appraisal ; capital gain ; financial feasibility ; economic sustainability ; public–private partnership ; risk assessment ; social housing ; urban regeneration ; urban rent ; affordable prices ; discounted cash flow analysis ; road infrastructures ; social sustainability ; mass appraisal ; Regional Strategic Intervention Programs ; multi-criteria analysis ; stakeholder analysis ; NAIADE method ; public housing neighborhoods ; project-induced effects ; assessment framework ; multi-criteria decision-making model ; housing affordability ; housing policy ; affordable housing ; Malaysia ; young adults ; renters ; housing costs ; parental supports ; discriminant analysis ; regression analysis ; independent living ; Nigeria ; strategies ; housing tenure ; low-income earners ; sustainability ; critical junctures ; housing delivery ; public-private partnership ; Vision 2030 ; Saudi Arabia ; affordable rent ; cluster analysis ; social fairness ; community acceptance ; housing accessibility ; India ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.
    Keywords: vineyard ; pesticide application ; variable rate application ; unmanned aerial vehicle ; satellite ; nanosatellite ; monsoon crops ; leaf area index ; leaf chlorophyll concentration ; crop water content ; multispectral ; hyperspectral ; deep learning ; forage dry matter yield ; high-throughput phenotyping ; Brazilian pasture ; nitrogen indicator ; nitrogen nutrition diagnosis ; optical sensor ; spectral index ; UAV ; wheat lodging ; lightweight ; digital surface model (DSM) ; winter wheat ; fractional order differential ; continuous wavelet transform ; optimal subset regression ; support vector machine ; wheat powdery mildew ; machine learning ; information fusion ; remote sensing monitoring ; hyperspectral imaging ; dimensionality reduction ; LDA ; PLS ; PCA ; RandomForest ; ReliefF ; XGB ; Meloidogyne ; Solanum tuberosum ; soil salinity sensitive parameter ; random forest ; optimal retrieval model ; remote sensing ; high throughput phenotyping ; UAV/drone ; biomass estimation ; oats ; wheat ; yield prediction ; random forests ; satellite imagery ; Normalized Difference Vegetation Index (NDVI) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.
    Keywords: human ankle model ; product of exponentials formula ; anthropometry ; biomechanics ; coordinate measuring machines ; kinematics ; pose estimation ; position measurement ; biomedical informatics ; adolescent idiopathic scoliosis (AIS) ; surface electromyography (sEMG) ; paraspinal muscle ; Schroth exercise ; paraspinal muscle symmetry index (PMSI) ; negative heel shoes ; positive heel shoes ; gait ; pregnant women ; OpenSim ; IDEEA ; dentistry ; dental unit chair systems ; muscle fatigue ; muscle activation ; in vivo study ; femoral neck fracture ; internal fixation ; intramedullary fixation ; finite element analysis ; finite element ; proximal junctional failure ; spinal reconstruction ; thoracolumbar ; rollback ; ligament strain ; kinematic alignment ; mechanical alignment ; total knee arthroplasty ; markerless motion capture system ; gait analysis ; joint moment ; joint power ; running economy ; running style ; duty factor ; vertical oscillation ; stride frequency ; freezing of gait ; gait initiation ; Parkinson’s disease ; posture ; segmental centers of mass ; anthropometric measurement ; base of support ; hand exoskeleton design ; motion simulation ; rehabilitation ; intention recognition ; machine learning ; deep learning ; two-dimensional (2D) image ; marker-free video ; walking speed ; walking speed classification ; bi-LSTM ; redundant feature ; ratio-based body measurement ; optimal feature ; surface topography ; rasterstereographic back shape analysis ; normative data ; healthy adults ; posture analysis ; spine ; intelligent system ; classroom behavior ; motion identification ; shoulder activity ; sensor ; rehabilitation protocol ; proximal humerus fracture ; ground reaction force ; knee and hip ; lower limb ; normal walking ; musculoskeletal multibody dynamics ; spinal biomechanics ; spinal alignment ; spinal loading ; muscle force computation ; thoracolumbar spine ; biomechanical model ; electromyography ; inertial measurement units ; gait-phase prediction ; spinal cord injury (SCI) ; muscle fiber conduction velocity (MFCV) ; surface electromyography (EMG) ; EMG–force relation ; composite index ; characteristic points ; multivariable linear regression ; anterior cruciate ligament deficiency ; competitive swimming ; performance ; velocity fluctuations ; multibody simulation ; finite element method ; co-simulation ; sports ; degeneration ; intervertebral disc ; coupled ; embryo implantation ; human choriocarcinoma cell ; extracellular matrix ; stiffness ; durotaxis ; n/a ; thema EDItEUR::M Medicine and Nursing
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-29
    Description: This reprint is devoted to fundamental and applied research in the field of implementing the principles of the circular economy in energy transition, and it substantiates the need for its transformation in the context of sustainable development. Of particular interest are promising areas for the use of secondary energy resources in the economy to create closed production cycles. Specific technologies are considered, and their environmental and economic assessments of scenarios for the introduction of low-carbon technologies in the circular economy, the achievement of the Sustainable Development Goals through the introduction of a circular economy, and the development of regional cooperation are given. Particular attention is paid to the possibility of using eco-innovations for the national transition to decarbonization in the integrated European energy system, Green intellectual capital as a support for corporate environmental development, a sustainable value chain for the industrial consumption of biocomposites, and various options for programs to reduce CO2 emissions.
    Keywords: My Electricity ; photovoltaic (PV) ; LCA ; carbon dioxide emission ; grants ; Poland ; renewable energy ; renewable energy source (RES) ; solar photovoltaic ; self-consumption ; COVID-19 ; energy consumption ; sustainable industrial consumption ; sustainable value chain ; biocomposite ; sustainable packaging ; COVID-19 pandemic influence ; consumer behavior ; green marketing scale ; scale development ; scale validation ; internal marketing ; external marketing ; strategy ; tactics ; operations ; clean technology ; experience circular economy ; rational use ; resource consumption ; sharing model ; green intellectual capital ; green human capital ; green organizational capital ; green relational capital ; environmental development ; sustainable development ; ecology ; innovative development ; decarbonisation ; energy efficiency ; “green” transition ; Data Envelopment Analysis (DEA) ; factor analysis (FA) ; circular economy (CE) ; sustainability ; sustainable development indicators (SDI) ; European Union (EU) ; circular economy ; European green deal ; industrial symbiosis ; transformation ; green organization ; performance evaluation ; sustainable development goals ; resources ; value chain ; management functions ; sustainability-oriented innovation ; conceptual framework ; energy transition ; energy systems modelling ; islands ; life cycle assessment ; low-carbon heating ; responsible consumption ; green purchase ; purchase intention ; thema EDItEUR::K Economics, Finance, Business and Management
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The growing population is forcing us to look for new, more effective solutions to various problems. The rising demand for power, water supply and waste management, pedestrian safety, the efficient use of electric vehicles, traffic jams, commuting, the identification of all road users and prediction of their travel paths, and increasing air and noise levels are the most pressing issues in today’s cities. Advance planning is a feature of green development that reduces dependence on vehicles associated with an increase in greenhouse gas emissions. The development of eco-friendly cities includes the development and application of new efficient solutions and technologies, such as efficient transport management, emission control and pollution control, energy efficiency and the usage of renewable energy, resource efficiency, etc., which would ensure a better quality of life of the growing population.
    Keywords: waste management ; sustainability ; eco-friendly city ; design thinking ; infectious waste ; resource efficiency ; communication technology ; beacon ; large-scale ; unmanned vehicle ; ad hoc network ; hybrid routing protocol ; air pollution ; drone ; land survey ; visual recognition algorithm ; fast R-CNN ; dust sensors ; microcontroller ; VMD ; LSTM ; coal thickness ; seismic attribute ; distributed manufacturing ; rescheduling ; memetic algorithm ; arrhythmia ; driving restrictions ; adaptive digital filter ; noninvasive method ; heart rate ; spherical microphone array ; sound source identification ; functional delay and sum beamforming ; denoising ; performance enhancement ; eco-friendly networks ; wireless sensor network ; energy efficiency ; low-power networks ; Markov model ; log-normal fading ; excavator ; typical working condition ; load ; operating data ; energy flow ; mathematic model ; cardiovascular system ; seismography ; modeling ; loader ; bucket fill factor ; material surface three-dimensional information ; regression prediction ; RecurDyn ; EDEM ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Keywords: Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In this Special Issue, we aim to represent the vibrant state of protein structure studies at the end of 2021. Recent decades have brought significant changes to the protein structure research field. Thanks to the genome projects and advances in structure determination methods, the number of solved protein structures has increased significantly. Protein structure research is experiencing a new renaissance, and in 2020 the number of deposited structures in the PDB database reached a new record. An assortment of many new frontiers are presented in this collection. A single Special Issue cannot give a comprehensive overview of a large field such as proteins science, but we aim to give a broad overview of current research.
    Keywords: configurational entropy ; force fields ; intrinsically disordered proteins ; protein folding ; NMR ; high hydrostatic pressure ; thermodynamic stability ; α-helical bundle ; Li-Fraumeni syndrome ; hereditary breast cancer ; germline TP53 missense variants ; quantitative prediction model ; protein conformation ; protein–protein interactions ; protein–protein binding ; protein–protein complex ; coarse-grained modeling ; multiscale modeling ; UFM1 ; UBA5 ; UFC1 ; protein-protein interactions ; complex structure ; oxidative stress ; Nrf2 ; Keap1 ; nuclear magnetic resonance spectroscopy ; hydrogen/deuterium exchange ; mass spectrometry ; circular dichroism ; intrinsically disordered ; bifidobacteria ; fucosidases ; glycosyl hydrolases ; conserved domains ; human milk ; analytical ultracentrifugation ; CO2 concentrating mechanism ; diffusion-ordered NMR spectroscopy ; electrospray ionization mass spectrometry ; homotetramer ; manganese ; metalloprotein ; photosynthesis ; small-angle X-ray scattering ; C1q ; calcium binding proteins ; genetic variation ; otoconia ; otolin-1 ; OTOL1 ; site-directed mutagenesis ; thermal shift assay ; B.1.1.7 ; B.1.617.2 ; COVID-19 ; E484Q ; T478K and L452R mutation ; N501Y mutation ; spike protein ; tetrabromobisphenol A ; tetrabromobisphenol S ; erythrocyte membrane ; retardants ; erythrocytes ; protein–ligand interactions ; protein dynamics ; FK506-binding protein ; FKBP12 ; FKBP51 ; oxidative folding ; glutathionylation ; nitrosylation ; cysteine reactivity ; ribosomal exit tunnel ; transient complex ; glutathione ; phosphorylation ; transmembrane proteins ; saturation mutagenesis ; deep sequencing ; residue packing ; deep learning ; convolutional neural network ; bidirectional long-short term memory ; protein ; prediction ; contact ; distance ; alphafold ; ProSPr ; CASP ; dataset ; retrainable ; mutual synergetic folding ; solvent accessibility of peptide bonds ; inter-subunit interaction ; solvent-accessible surface area ; Shannon information entropy ; amino acid composition ; glucose ; GlcNAc ; galactose ; GalNAc ; mannose ; xylose ; fucose ; Neu5Ac ; glucuronate ; iduronate ; tetrahydropyran ; entropy ; free energy ; free energy landscape ; energy-dependent protein folding ; co-translational protein folding ; molecular chaperones ; physical model of protein folding ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 82
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Special Issue is dedicated to Professor Reinhard Schlickeiser on the occasion of his 70th birthday. Reinhard Schlickeiser’s internationally well-recognized work, comprising several hundred research articles and the comprehensive monograph “Cosmic Ray Astrophysics,” has had a lasting influence in several areas of astrophysics. He has also inspired a large number of junior researchers, many of whom are now pursuing successful academic careers. Over the last few decades, he has motivated and established many fruitful collaborations that have triggered new ideas and provided new insights into various plasma and astrophysical topics. This Special Issue aims to present original papers by Reinhard Schlickeiser’s collaborators that document the breadth of his scientific accomplishments and the subsequent studies that he has directly or indirectly influenced as a collaborator or as a teacher. This Special Issue may serve as inspiration for others to follow in his path and to accept the challenges awaiting them in the many areas of astrophysics that have been, for many years, Reinhard’s turf.
    Keywords: Langmuir waves ; Landau damping ; particle wave interactions ; space physics ; plasma physics ; n/a ; nucleus-acoustic waves ; nonlinear waves ; nonplanar geometries ; non-thermal radiation mechanisms ; relativistic jets ; relativistic processes ; BL Lacertae objects ; active galaxies ; blazars ; diffusive shock acceleration ; radiative transport ; gamma-rays ; solar wind ; plasmas ; instabilities ; waves ; cosmic rays ; galactic anti-matter ; solar modulation ; solar cycle ; dissipative solitary waves ; magnetized plasma ; superthermal trapped electrons ; kappa distribution ; Schamel equation ; oblique propagation of electrostatic plasma waves ; suprathermals ; cosmic-ray transport ; turbulence ; plasma waves ; particle-in-cell simulations ; automated driving ; data-driven modeling ; deep learning ; scene prediction ; trajectory prediction ; Alfvén waves ; wave–wave interactions ; magnetic loops ; solar corona ; particle transport ; numerical methods ; modelling ; cosmic-ray diffusion ; active galactic nuclei (AGN) ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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  • 83
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and multilevel authentication, complex application and network monitoring, and anomaly detection. We refer to this as the “anomaly detection continuum”. Machine learning and other artificial intelligence technologies can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (evasion attacks). On the other hand, data and system contexts can be modified by attackers to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning). This Special Issue presents ten papers that can be grouped under five main topics: (1) Cyber–Physical Systems (CPSs), (2) Intrusion Detection, (3) Malware Analysis, (4) Access Control, and (5) Threat intelligence.AI is increasingly being used in cybersecurity, with three main directions of current research: (1) new areas of cybersecurity are being addressed, such as CPS security and threat intelligence; (2) more stable and consistent results are being presented, sometimes with surprising accuracy and effectiveness; and (3) the presence of an AI-aware adversary is recognized and analyzed, producing more robust solutions.
    Keywords: Internet of Things ; cybersecurity ; cyber threats ; malware detection ; machine learning ; network traffic ; cooperative intelligent transportation systems (cITSs) ; IDS ; vehicular ad-hoc networks (VANET) ; adaptive model ; deep belief network (DBN) ; NIDS ; deep learning ; false negative rate ; artificial neural network ; MITRE ATT&CK Matrix ; techniques classification ; BERT-based multi-labeling ; formal ontology ; risk identification ; vulnerability ; portable executable malware ; tree-based ensemble ; performance comparison ; statistical significance test ; adversarial examples ; face recognition ; mask matrix ; targeted attack ; non-targeted attack ; anomaly detection ; attack detection ; cyber-physical system ; datasets ; evaluation metrics ; biometric cryptosystem ; iris identification ; error-correcting codes ; intrusion detection ; smart grid ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
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  • 84
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.
    Keywords: steel alloys ; resistance spot welding ; RSW ; electrode wear ; electrode tip-dressing ; process monitoring ; mushrooming ; plateau forming ; quality control ; COVID-19 ; FDM ; 3D printing ; injection molding ; personal protection ; rapid prototyping ; protective face shields ; mechatronics line ; visual servoing system ; wheeled mobile robot ; industrial robotic manipulator ; Industry 4.0 ; NDT ; magnetic particle inspection ; optimization ; condition monitoring ; vibration ; acoustic emission ; drive train ; data fusion ; machine learning ; product morphology ; core data model ; phase rule filter ; phase private data model ; storage system ; forklift AGV ; deep learning ; semantic segmentation ; H-Swish ; community transformation ; community innovation governance ; ternary space ; coupling and coordination analysis ; lean manufacturing ; lean principles ; pull principle ; production control mechanisms ; production processes ; lean implementation ; batch process ; partial least squares ; multi-phase ; multi-mode ; master production scheduling ; make-to-order ; mathematical programming ; agent-based ; overtime ; earliness ; tardiness ; equipment selection decision ; business compass ; energy consumption ; processing time ; beetle antennae search algorithm ; sustainable blank dimension design ; energy-saving ; low-carbon ; grey wolf algorithm ; gas–solid ; cyclone ; separator ; gas dynamics ; erosion ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: Achieving success along the entire production and supply chain of a dairy sector depends explicitly on adopting a sustainable 'state of the art' approach. In this regard, understanding key sustainability indicators and challenges with a holistic approach is vital. Appropriate design, application of novel technologies, implementation of life cycle analysis, upgradation and optimization of the entire production line are some of the key factors to be measured. In addition, it is vital that due consideration is given to demands of the producers, consumers, and dependent industries. Nevertheless, concern for the environment, social security and economy of the region should not be ignored. Precise planning ('on-farm' and 'off-farm') assumes importance especially when circular economy strategies needs to be considered. With these as background, this book is focused towards identifying present opportunities and overcoming future sustainability challenges in the global dairy sector.
    Keywords: dairy ; water ; review ; modelling ; water footprint ; agriculture ; feed additive ; methane mitigation ; enteric emissions ; greenhouse gas ; climate change ; LCA ; environmental impacts ; intensification ; technical efficiency ; four-component model ; endogeneity ; input distance function ; meta-frontier ; stochastic frontier analysis ; dairy processing industry ; European Union ; proanthocyanidins ; condensed tannins ; secondary plant metabolites ; methane ; ruminants ; farm ; organization ; governance ; adoption ; agroecology ; practices ; regulation ; Brazil ; ammonia emissions ; dairy cow ; flushing ; freestall barn ; scraping ; heat pump ; dairy farming ; water heater ; ASHP ; ASHPWH ; usable water ; emissions ; sustainability ; farm type ; sustainable management ; small-/medium-scale animal farms ; food science ; customer experience design ; food well-being ; food psychology ; hedonia ; eudaimonia ; meaningful consumption ; artisan products ; local food ; profit cows ; economic sustainability ; knowledge transfer ; production disease ; production disease economics ; emission factor ; enteric fermentation ; gross energy ; milking cows ; dairy industry ; supply chain management ; safety failure factors ; interpretive structural modeling ; MICMAC analysis ; agro-livestock sector ; GHG emissions ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: The externalization of animals’ genetic potential is determined by a number of external factors, of which feeding plays a major role. Animals’ nourishment is one of the most important levers to ensure the efficiency of animal production due to both the high share of feed costs in the total cost of products and the influence this has on the growth, reproduction, and health of animals as well as the quality of products obtained from these. This field is one of the most dynamic in the field of husbandry sciences due to the takeover and permanent use of numerous results obtained from research on energy metabolism and nutrients related to the composition of feed and its influence on animal products. This is also due to the great advances in genetics, which create new types of animals with increasing productive potential, but also with different food requirements. This Special Issue collated innovative papers on animal nutrition, physiology, chemistry, biochemistry, genetics, reproduction, and breeding technologies. The articles covered a wide range of topics related to feed quality, the influence of food on the production level, the quality of production, and also on animals’ health.
    Keywords: carcass yield ; commercial cuts ; low cost ; neutral detergent fiber ; non-fiber carbohydrate ; Yucca schidigera ; antimicrobial ; secondary metabolites ; sustainability ; pollution ; production ; food animals ; Ajuga iva ; chemical composition ; nutritive value ; unconventional feeds ; phenolic ; growing conditions ; dairy buffaloes ; farming environment ; reproductive and productive performances ; feeding trial ; mozzarella cheese ; sensory properties ; alternative feed ; degradability ; fractions ; ram ; sperm quality ; Saccharomyces cerevisiae ; apparent digestibility ; honey ; quality ; phenolic content ; flavonoid content ; Pearson’s correlation ; female camels ; milk ; minerals ; heavy metals ; winter ; total mixed ration ; paddlefish ; meat quality ; fatty acids ; biological value ; body condition score ; ewes ; reproductive traits ; flushing ; animal production ; genetic diversity ; grey cattle ; mitochondrial DNA ; Podolian cattle ; European catfish ; somatometry ; corporal indice ; flesh yield ; nutritional quality ; lactation ; manganese ; reproductive performance ; sows ; AP monitoring ; IoT ; AP estimation ; decision support ; livestock farming ; polycyclic aromatic hydrocarbons ; meat ; chicken ; duck ; turkey ; phenols ; flavonoids ; FTIR ; rearing system ; birds’ welfare condition ; biochemical analysis ; productive parameters ; food and feed safety ; yeasts and molds ; Salmonella spp. ; Escherichia coli ; Clostridium perfringens ; rabbit ; hare ; lipid health indices ; water-holding capacity ; cooking loss ; egg weight ; shell weight ; fractional reduction ; deletion method ; reproduction ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
    Keywords: machine learning ; artificial intelligence ; malocclusion ; diagnostic imaging ; active learning ; maxillary sinusitis ; convolutional neural network ; deep learning ; segmentation ; oral microbiota ; LEfSe ; PCoA ; alloprevotella ; prevotella ; core microbiota ; artificial neural networks ; oral cancer diagnosis ; oral cancer prediction ; pit and fissure sealants ; caries assessment ; visual examination ; clinical evaluation ; convolutional neural networks ; transfer learning ; deep learning network ; YOLOv4 ; mandibular third molar ; inferior alveolar nerve ; contact relationship ; panoramic radiograph ; deep learning methods ; caries diagnosis ; dental panoramic images ; radiography ; Fourier transform infrared spectroscopy ; FTIR imaging ; spectral biomarker ; multivariate analysis ; discriminant model ; oral squamous cell carcinoma ; oral epithelial dysplasia ; oral potentially malignant disorder ; risk stratification ; early oral cancer detection ; dentigerous cysts ; histopathology images ; image classification ; odontogenic keratocysts ; radicular cysts ; AI ; screening ; diagnosis ; dentistry ; ultrasonography ; tongue ; algorithm ; dysphagia ; impacted ; tooth ; detection ; neural networks ; proximal caries ; training strategy ; small dataset ; periapical radiograph ; X-ray ; tooth extraction ; oroantral fistula ; operative planning ; n/a ; bic Book Industry Communication::M Medicine
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  • 88
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Plants under natural conditions often face multiple stresses, including drought, salinity, temperature extremes, submergence stress, bacteria, viruses, fungi, insects, etc. These biotic and abiotic stresses negatively influence plant growth and productivity. Various approaches have recently been used to overcome stresses in plants. It is necessary to evaluate and explore how diverse molecular techniques can be applied to different biological studies to improve biotic and abiotic stress tolerance in plants. This will help reduce production losses and increase crop tolerance to various stresses. It is now the time to make a difference by developing plants that can withstand biotic and abiotic stresses.
    Keywords: antioxidants ; drought ; oxidative stress ; pearl millet ; redox implications ; ROS ; chlorophyll fluorescence efficiency ; photosynthetic responses ; enzyme activity ; sugarcane ; smut ; circadian clock ; reactive oxygen species ; Al-induced PCD ; photoperiodism ; peanut ; phylogenetic ; virus-induced gene silencing ; transgenic lines ; physiological and biochemical analysis ; Glycine max L. ; PR proteins ; chitinase ; genome-wide ; plant stresses ; crop residues ; profitability ; soil fertility ; soil biology ; allelopathy ; heat shock protein 20 ; maize ; abiotic stress ; yeast-one-hybrid ; abiotic stresses ; cotton ; hormones ; signaling pathway ; WRKY ; papaya (Carica papaya) ; brassicales ; late embryogenesis abundant protein ; orthogroup ; expression profile ; artificial light ; auxins ; chicory ; callus cells ; inulin ; plant growth regulators ; milk thistle ; secondary metabolites ; ecotypes ; salinity ; growth attributes ; biotic stress ; phenolic compounds ; seaweed ; Dendrobium catenatum ; lipase ; multi-omics ; expression pattern ; gene family ; bio-fertilizer ; ionic homeostasis ; organic amendments ; vermicompost ; cold stress ; PKS5 ; stomatal aperture ; microbiota ; natural farming ; physical factors ; physiological changes ; signal transduction and stressed conditions ; Rhizobium leguminosarum ; PGPR ; Triticum aestivum L. ; cadmium stress ; tolerance ; ascorbate ; glutathione ; malondialdehyde ; chlorophylls ; disease gradient ; disease outbreak ; Puccinia ; wheat stripe rust ; plant epidemic ; dispersal ecology ; alternative plant vitrification solution ; ammonium-free medium ; cytotoxicity ; droplet-vitrification ; endangered species ; liquid overlay ; regrowth medium ; within-plant phenotypic plasticity ; combined stresses ; additive ; antagonistic and synergic effects ; VOCs ; potassium ; soybean ; water logging ; yield ; non-thermal plasma ; plant defense ; glucosinolates ; nitriles ; RNA sequencing ; Arabidopsis thaliana ; Bt toxins ; Cry1Ah1 transgenic poplar ; ecology ; environment ; rhizosphere ; candidate genes ; drought tolerance ; crop improvement ; climate change ; adaptation ; Chenopodium quinoa Willd. ; genotypes ; Sahara ; Algeria ; chitosan ; pathogen ; sustainable ; plant protection ; tomato ; melatonin ; photosynthesis ; climate changes ; antioxidant system ; Malus seedlings ; NaCl treatments ; membrane damage ; osmotic regulation ; archives ; botanical collection ; Greece ; landscape ; pre-rebellion period ; wheat ; priming ; Aspergillus niger ; qRT-PCR ; wilting ; TLP ; β-1,3-glucanase ; biostimulants ; biofertilizers ; soil microorganisms ; phytostimulator ; jewel sweet potato ; shoot tip ; axillary bud ; different MS salts concentration ; micropropagation ; plant performance ; C4 species ; heterozygosity ; transient soil salinity ; soil layers ; desertification ; arid regoins ; total flavonoid ; phenolics ; antioxidant activity ; centella ; Na+ content ; molecular markers ; MAS ; oilseeds ; SSRs ; molecular breeding ; dehydration-responsive element binding (DREB) transcription factors ; gene expression ; mosses ; stress tolerance ; common centaury ; salinity stress ; antioxidative protection ; sodium nitroprusside ; proteomic analysis ; drought stress ; sorghum ; RNS ; RSS ; signaling ; post-translational modification ; microorganisms ; stressful conditions ; sustainability ; nutrition ; Brassicaceae ; Cicer arietinum L. ; chlorophyll a fluorescence transient ; physiological and biochemical traits ; high temperature ; chocolate spot disease ; Botrytis fabae ; faba bean ; antioxidant enzymes ; protein banding and anatomy ; actinobacteria ; Streptomyces tuirus ; chilli fruit rot ; Colletotrichum scovillei ; Colletotrichum truncatum ; Fusarium oxysporum ; liquid bio-formulation ; corn smut ; fungus infection ; MDA ; proline ; quality ; halophytes ; Tripolium pannonicum ; hydrogen peroxide ; cell wall extensibility ; cell wall polysaccharide ; coleoptile ; growth inhibition ; lead (Pb) ; rice ; Bactrocera oleae ; spinosad ; kaolin ; organic oliviculture ; chlorophyll fluorescence ; leaf gas exchange ; physiological traits ; BAG (Bcl-2-associated anthanogene) family proteins ; molecular chaperone ; metabolomics ; metabolic responses ; metabolites variation ; surveillance ; Candidatus Liberibacter asiaticus ; comprehensive control ; distribution ; screen house ; Copper hyperaccumulation ; stress mitigation ; EDTA and IAA ; sunflower ; Fusarium wilt ; conventional breeding ; molecular makers ; QTLs ; genomics ; transcriptomics ; metabolomics and proteomics ; bread wheat ; AMF ; zinc ; growth parameters ; osmolyte ; osmoprotector ; ionic attributes ; PGPBs ; growth-promoting fungi ; crop productivity ; plant tolerance ; arbuscular mycorrhizal fungi ; aerobic rice ; soil enzymes ; phosphorus utilization ; P-deficient ; plant growth promotion ; chickpea ; selection indices ; drought tolerant genotypes ; abiotic and biotic stress ; CRISPR ; mega nucleases ; TALEN ; ZFN ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential original articles or reviews in the “Communications” field. We expect these papers to be widely read and highly influential within the field.
    Keywords: network security ; double defense ; zero trust ; situation awareness ; immunology ; blind modulation classification ; orthogonal frequency division multiplexing ; higher-order cumulant and cyclic cumulant ; maximum-likelihood ; maximum a posteriori ; deep learning ; convolutional neural networks ; probability of correct classification ; testbed implementation ; drone ; UAV ; RF methods ; software-defined radio ; detection system ; defense system ; TSN ; Industry 4.0 ; smart distributed measurement systems ; IIoT ; IoT ; Ethernet ; Wi-Fi ; bit error rate ; fading channels ; Internet of things ; LoRa ; performance evaluation ; Named Data Networking ; information centric networking ; caching ; edge networks ; 6G ; IEEE 802.11be ; multilink operation ; channel access ; backoff ; coexistence ; Bluetooth ; wireless passive human sensing ; wireless sensor networks ; cyber-attacks ; intrusion-detection system ; MCDM ; q-rung orthopair fuzzy sets ; q-ROFWG ; 5G ; 5G-AKA ; authentication ; blockchain ; BAN logic ; Scyther ; radio channel ; path loss ; signal strength ; receivers ; transmitters ; wireless communication ; computational modeling ; path planning ; electromagnetic propagation ; loss measurement ; propagation loss ; reconfigurable antenna ; metasurface ; varactor diode ; beam-scanning ; high gain ; actor–critic learning ; energy-efficiency ; O-RAN ; RAN optimization ; low power wide-area networks ; large-scale LoRa networks ; single-channel LoRa gateways ; multi-objective ; quantum computing ; quantum optimization algorithms ; quantum routing optimization ; 6G communication networks ; SNR estimation ; optical wireless communications ; intensity modulation ; digital signature ; elliptic curve cryptography ; key exchange ; platoons ; Sybil attack ; 3D indoor localization ; location-based services ; Internet of Things ; computer vision ; biomedical imaging ; biometrics ; remote sensing ; cybersecurity ; natural language processing ; audio and speech processing ; control system and robotics ; information system ; food ; agriculture ; chemistry ; characteristic mode ; parasitic loading ; slit loading ; low-profile ; wearable antenna ; platoon ; traffic congestion ; collision avoidance ; CACC ; merge maneuver ; join maneuver ; lane change ; clustering ; information element ; MAC de-randomization ; OPTICS ; probe request ; WiFi-enabled device detection ; wireless sensing device ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint focuses on fish otoliths, as one of the most useful and important biological structures for fishery scientists and managers around the world. Collected papers cover several different research areas, from the otolith macro- to the microstructure and microchemistry, analyzing different types of otoliths and investigating various freshwater and marine species in their larval, juvenile and adult stages. Special attention is given to different approaches in otolith research and to many practical applications of such studies. The obtained data served to determine the age and growth of individual fish; to study habitat interactions, migration patterns, or habitats that the fish live in; to detect water temperatures or the presence of certain pollutants in the environment; and to reveal all other vital information about the life history of the fish.
    Keywords: sagittal otolith ; somatic growth ; long-lived fishes ; ontogeny ; teleost anatomy ; development ; fish morphology ; Fourier ; marking ; alizarin complexone ; hard tissue ; fin ray ; otolith ; scale ; silver carp (Hypophthalmichthys molitrix) ; age ; growth ; otoliths ; morphometry ; Sphyraena sphyraena ; fish age determination ; Greenland halibut ; deep learning ; dataset shift ; domain adaptation ; red snapper ; wavelet ; genetic diversity ; population structure ; asteriscus ; side effect ; otolith shape ; geographical effect ; temperature effect ; pH ; brook trout ; fish kill ; anadromy ; otolith microchemistry ; crucian carp ; strontium ; marking efficiency ; restocking ; time delay ; fish otoliths ; CNN ; age determination ; web tool ; Kokanee ; homing ; stocking ; Anguilla anguilla ; fish biology ; ecosystem variability ; minho river ; stock assessment ; Coilia nasus ; river estuary ; Yellow Sea ; elemental signature ; stable isotopic signature ; stock spatial structure ; atherinids ; trade-off ; daily growth ; spawning ; European hake ; length–frequency distribution ; sex-ratio ; hydro-morpho-sedimentary characteristics ; marginal increment analysis ; band deposition ; Thunnus thynnus ; growth curves ; edge analysis ; growth performance index ; quartile of marginal growth band method ; k-fold cross-validation ; back-calculation ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: Understanding the interconnection between energy, the environment, and the economy is critical in contemporary society. The relationship between energy consumption, economic growth, and the environment has garnered significant attention from researchers and policymakers alike, and understanding the underlying causal connection between energy and the economy is crucial for modeling effective environmental and growth policies. Moreover, the emergence of new energy and environmental policies would create a plethora of further research opportunities in this evolving climate regime. For instance, several countries prioritize projects focused on energy efficiency, as they are considered low-risk, no-regret options that may yield economic benefits. In a nutshell, this Special Issue aims to address a gap in the existing literature by providing an in-depth analysis of the interplay between energy, the environment, and the economy, emphasizing the exploration of the potential environmental impacts of energy consumption and economic growth.
    Keywords: economic growth and the environment ; renewable energy sources ; sustainability ; energy problems ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 92
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Consumer interest in plant-based diets has been rapidly increasing in the past decade. Non-dairy and non-meat alternatives have gone mainstream. New products are appearing in the marketplace continually. The marketplace has been driven recently by millennials and flexitarians. Food companies have focused on providing nutritious food products that satisfy the demand for alternative items that look and taste like their animal counterparts. The marketplace wants products that improve human and planetary health worldwide. Questions have arisen as to how nutritionally sound and healthy are these products. How sustainable are these plant-based diets? How significantly do they alter traditional dietary patterns? What impact do they have on food security? Do these plant-based meat and dairy alternatives help lessen environmental degradation? Are the new products considered ultra-processed foods? What are the barriers and motivations that drive people to switch to a plant-based diet? Will plant-based diets help in the goal to greatly diminish malnutrition and over-nutrition (leading to obesity) around the world? These questions challenge scientists to provide meaningful answers through their ongoing research. Some of these issues are discussed in this reprint, based upon the latest research.
    Keywords: planetary health ; Paris agreement ; linear programming ; nutrition ; greenhouse gas emission ; alternative diets ; sustainability ; flexitarian ; vegetarian ; vegan ; plant-based meat alternatives ; nutrient intakes ; dairy alternative ; dairy substitute ; cheese analogues ; vegan cheese ; vegetarian cheese ; plant-based alternatives ; pregnancy ; nutritional requirements ; food production system ; environment ; diet ; meat replacement ; non-meat protein source ; environmental sustainability ; consumer preference ; food choice ; non-dairy yogurt alternatives ; plant-based yogurts ; nutrient composition ; fortification ; calcium ; vitamin D ; vitamin B12 ; protein ; sugar ; plant-based diets ; microbiome ; CV disease ; diabetes ; bone health ; life cycle ; pea proteins ; plant proteins ; sarcopenia ; skeletal muscle ; protein digestibility ; muscle protein metabolism ; chronic kidney disease ; implementation ; barriers ; enablers ; cross-sectional survey ; qualitative research ; food waste ; global warming ; vegetarian meals ; hospital setting ; plant based ; public health ; pregnancy complications ; preterm delivery ; small for gestational age ; preeclampsia ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies::JBCC4 Cultural studies: food and society
    Language: English
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: PART 1. Functional Textiles: Photochromic Textiles Based upon Aqueous Blends of Oxygen-Deficient WO3-x and TiO2 Nanocrystals. 50/60 Hz Power Grid Noise as a Skin Contact Measure of Textile ECG Electrodes. Characterizing Steam Penetration through Thermal Protective Fabric Materials. Stretchable Textile Yarn Based on UHF RFID Helical Tag. Fibers and Textiles for Personal Protective Equipment. Textile-Based Sound Sensors (TSS). High-Performance and Functional Fiber Materials. Geotextiles—A Versatile Tool for Environmental Sensitive Applications in Geotechnical Engineering. Review of Fiber- or Yarn-Based Wearable Resistive Strain Sensors. Wearable Actuators: An Overview. Bacterial Secondary Metabolites as Biopigments for Textile Dyeing. PART 2: Process and Modelling. Loop Order Analysis of Weft-Knitted Textiles. New Geometrical Modelling for 2D Fabric and 2.5D Interlock Composites. Meso-Macro Simulations of the Forming of 3D Non-Crimp Woven Fabrics. Continuous Yarn Electrospinning. A Review on Tough Soft Composites at Different Length Scales. Textile Branch and Main Breakthroughs of the Czech Republic in the Field of Textile Machinery. Recent Efforts in Modeling and Simulation of Textiles. PART 3: Control. A Comparison of Two Different Light Booths for Measuring Color Difference of Metameric Pairs. Effect of Textile Characteristics on the AR-Glass Fabric Efficiency. Dielectric Properties of Textile Materials. PART 4: Consumers and Behavior. Development of a Consumer-Based Quality Scale for Artisan Textiles. Organic Cotton Clothing Purchase Behavior. A Review on Textile Recycling Practices and Challenges.
    Keywords: smart textiles ; wearable ; fiber actuators ; soft exoskeleton ; haptic action ; textile modeling ; homogenization ; beam-based model ; buckling ; folding ; spacer fabrics ; organic cotton ; clothing ; consumer behavior ; Theory of Reasoned Action ; alkali-resistant glass textile ; weaving ; epoxy coating ; filament diameters ; roving fineness ; fabric efficiency ; textile-reinforced concrete ; TRC ; fabric-reinforced cementitious matrix ; FRCM ; textile development ; human and civilization factors ; clothing and technical textiles ; open end spinning ; jet looms ; perpendicularly layered nonwovens ; needleless electrospinning ; textiles ; quality ; artisan ; fabrics ; women in textiles ; soft composite ; mechanical property ; toughness ; toughening mechanism ; fabrication ; application ; helical RFID tag ; helical antenna ; RFID ; textile yarn ; light booth ; metameric pairs ; visual assessment ; gray scale ; standard deviation ; CAM02-UCS ; color difference formula ; thermal protective fabrics ; steam exposure ; fabric properties ; heat and mass transfer ; burn injuries ; textile materials ; complex relative permittivity ; effective medium approximation ; dielectric mixture theory ; electromagnetics ; dielectric characterization ; resistive strain sensor ; fiber-based sensor ; yarn-based sensor ; interconnection ; forming simulation ; multi-scale analyses ; RVE ; hyperelasticity ; thick reinforcements ; nanofibers ; PAN ; cellulose acetate ; biopolymers ; spider silk ; silk fibroin ; 2D fabric ; 2.5D ; interlock composite ; compliance matrix ; textile waste ; reuse and recycling ; municipal solid waste ; composting ; sustainability ; geotextiles ; natural fibers ; synthetic fibers ; geo-engineering ; environmental applications ; high-performance fibers ; functional textiles ; metallized textiles ; inorganic fibers ; Scanning Electron Microscopy (SEM) ; Electron Dispersive Spectroscopy (EDS) ; microbial pigments ; bacterial pigments ; textile ; fibers ; dyeing ; electrocardiogram (ECG) ; Arduino ; electrodes ; conductive coating ; conductive yarn ; sensor ; knitted textiles ; topological modeling ; contact neighborhood ; loop order analysis ; precedence rule ; visualization ; e-textiles ; textile-based sound sensors ; sound monitoring ; smart building ; personal protective equipment ; protective clothing ; special textile structures ; smart textile ; photochromism ; inorganic nanoparticles ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KND Manufacturing industries
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
    Keywords: grape varieties identification ; Support Vector Machine (SVM) ; Convolutional Neural Network (CNN) ; deep feature fusion ; Canonical Correlation Analysis (CCA) ; smart machinery ; digital agriculture ; Chinese agricultural diseases and pests ; named entity recognition ; adversarial training ; semantic enhancement ; technology innovation ; food processing ; transition pathways ; sustainable food systems ; transformation ; smart farming ; IoT ; WSN ; containerization ; multi-agent ; neural network ; LSTM ; leisure agricultural park ; traveler group ; COVID-19 pandemic ; fuzzy collaborative intelligence ; machine vision ; maize seeds ; classification ; deep learning ; convolutional neural network ; decision support systems ; agricultural water management ; water security ; data-driven modeling ; conceptual resilience model ; input uncertainty ; climate extreme ; process-based modeling ; vehicle routing problem ; fresh agricultural products ; split delivery ; NSGA-II algorithm ; farm management information system ; farmers’ information needs assessment ; soft system methodology ; smallholder farmers ; conceptual model ; Indonesian chili farmers ; residual block ; attention mechanism ; grape leaf disease ; aquatic products price forecast ; VMD ; IBES ; hybrid model ; precision agriculture ; sensor network ; semi-literate farmers ; interactive interface ; User Interface (UI) ; Android apps ; machine learning ; regression algorithms ; web application ; early prediction of crop yield ; grape detection ; self-attention ; buffalo breeds ; Neural Networks ; Self Activated CNN ; DeepLabv3+ ; semantic segmentation ; picking point identification ; e-commerce interest linkage ; participation willingness and behaviors ; government policies ; farmers’ cognition ; evolutionary game model ; structural equation model ; object detection ; YOLOv7 ; hemp duck count ; smart agriculture ; LoRaWAN ; water status ; supply chain ; horticulture ; logistics ; operations ; planning framework ; decision support ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
    Language: English
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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The recovery of solid waste is a challenge and an opportunity for companies, thanks to the ongoing awareness of sustainability and technological advances. The end-of-waste criteria constitute a European strategic goal that promotes recycling in order to ensure a high level of environmental protection by means of reducing the quantity of waste destined for disposal. This Special Issue promotes the knowledge regarding technological methods for solid waste recovery. Articles investigate innovative processing methods with the goal of valorizing solid waste from different civil and industrial activities. Topics includes studies on construction and building, mining, plastics, and WEEE, referring to the treatment techniques used and, where appropriate, the critical raw materials that can be valorized. The recovery processes of critical raw materials can be very energy-intensive, affecting environmental and soil factors. Case studies on sustainable, low-carbon and resource-efficient techniques for the purpose of a more competitive economy were also very welcomed. The environmental impact and safety measures, especially for dangerous waste, should be taken into account in the description of their processing and management.
    Keywords: cathode ray tube ; lead recovery ; lead leaching and electrodeposition ; environmental assessment ; phosphate cements ; calcined dolomite ; quartz sand ; calcined magnesite ; temperature ; K-struvite ; industrial waste ; chromium ; high-performance concrete ; ultra-high-performance concrete ; fibers ; mechanical strength ; alkali-activated cement ; geopolymers ; building materials ; PET ; compressive strength ; water absorption ; WPCBs dismantling ; metals dissolution ; copper recovery ; economic assessment ; process modeling and simulation ; low-temperature processing ; WEEE (waste of electric and electronic equipment) recycling ; materials separation ; process characterization ; SEM/EDS ; torrefaction ; solid fuel ; waste to carbon ; circular economy ; biodegradable materials ; calorific value ; methane fermentation ; biogas ; biomethane ; biochar ; pyrolysis ; hydrothermal carbonization ; biochemical methane potential ; biogas production kinetics ; industrial wastes ; arc furnace slag ; ceramic sludge ; β-wollastonite ; parawollastonite ; porous ceramics ; waste management ; sustainability development ; apple pomace ; active compounds ; extraction ; renewable energy ; anticorrosion agents ; biopolymers ; PCB ; recycling ; metal recovery ; mechanical pre-treatment ; production waste ; rock wool ; glass wool ; loss on ignition ; pollutants washout ; geopolymer ; waste slurry ; flocculation ; solidification ; pipe jacking ; air flow rate ; composting ; municipal solid waste ; monitoring ; optimization ; spatial distributions ; crystallization ; glass–ceramics ; diopside ; anorthite ; by-pass cement ; aluminum dross ; thermodynamic analysis ; kinetics ; hemp stalk ; bio-insulating material ; sustainability ; sound absorbing properties ; thermal absorption properties ; green composite material ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
    Keywords: Saint-Venant equations ; finite difference method ; parallel computing ; heterogeneous computing ; deep learning ; image enhancement ; mineral identification ; convolutional neural networks ; BERT ; named entity recognition ; geological news ; CRF ; semantic segmentation ; PSPNet ; landslide ; submarine landslide ; machine learning ; hazard susceptibility ; spatial distribution ; ZTEM ; 2D forward modeling ; inversion ; parallel algorithm ; tipper ; disaster precursor identification ; early warning ; association rule mining ; particle swarm optimization ; k-means clustering ; Apriori algorithm ; gray relation analysis ; transformer ; photovoltaic power forecasting ; satellite images ; LICOM ; meteorological model ; parallel optimization ; time series ; missing data ; tensor completion ; autoregressive norm ; displacement prediction ; GeoMAN model ; gross primary productivity ; attention mechanism ; interdisciplinary ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Language: English
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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Special Issue focuses on feeding and feed technology advances and challenges in aquaculture. These are of particular interest since aquaculture and fisheries are considered crucial sources of animal protein in human diets, providing around 17% of global edible animal protein. Special attention is given to alternative sources of fish meal and how substitutions can influence the metabolism, immune response, and disease resistance of the targeted species. Moreover, the impact of plant extracts on growth performances, physiological responses, immunity, and intestinal health is addressed.
    Keywords: Pacific bluefin tuna ; squid meal ; krill meal ; heat treatment ; growth performance ; dietary protein ; glycolipid metabolism ; immune response ; Streptococcus agalactiae ; high temperature ; Macleaya cordata extract ; serum lipid ; antioxidant ability ; intestinal microbiota ; intestinal health ; Anguilla rostrata ; feed additives ; immune gene expressions ; antioxidant defensive system ; Spirulina ; digestive enzymes ; hepatic enzymes ; gene expression ; aquaculture ; cyanobacteria ; Bangladesh ; children ; dry fish ; malnutrition ; minerals ; nutrients ; protein ; vitamins ; women ; whitebait ; larval diet ; formulated feed ; PUFA ; HUFA ; herbal medicines ; growth ; striped catfish ; immunity ; largemouth bass ; pompano ; amberjack ; red drum ; algal oil ; olive flounder ; fish meal replacement ; meat meal ; regression analysis ; innate immune response ; Lamiaceae ; fish ; health ; antioxidant ; nutrition ; Litopenaeus vannamei ; Yarrowia lipolytica ; Haematococcus pluvialis ; astaxanthin ; pigmentation deposit ; antioxidation ; Ctenopharyngodon idellus ; Phragmites australis ; serum biochemistry ; immune-related factors ; immune gene ; alternative protein source ; essential amino acid ; insect meal ; protein replacement ; T. tinca ; whole-body composition ; feed ; insects ; innovation ; sustainability ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAF Fisheries and related industries
    Language: English
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  • 98
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: Weeds are the most important biological factor that affects yield in herbaceous and perennial crops. Nowadays, following the recommendations of government institutions and public opinion, there is an urgent need to search for sustainable weed management practices that have a low impact on the environment and on the health of living organisms. This reprint, established after closing the Special Issue “Sustainable Weed Management” edited by Dr. Alessia Restuccia and Dr. Aurelio Scavo, is a collection of papers (17 research articles and 1 review) related to the recent advancements in sustainable weed control methods and to the biotic and abiotic factors affecting weed adaptation.
    Keywords: cover crop ; weed management ; seed bank ; weed associations ; species richness ; multivariate analysis ; sustainability ; crop competition ; cultural management ; rainfall ; rain-fed agriculture ; seed production ; weed suppression ; weed density ; alternative weed management ; buffalobur ; crop and herbicide rotation ; herbicide efficacy ; surfactant ; terpenes ; mechanism of action ; germination inhibitors ; crops ; allelopathy ; phytochemicals ; P. hysterophorus ; germination ; growth ; herbicide resistance ; resistance mechanisms ; NTSR mechanisms ; TSR mechanisms ; metabolism ; organic ; no-till ; agroecology ; competition ; dispersal ; landscape ; oilseed rape ; sustainable weed management ; growth curve ; plant traits ; elevation gradient ; climate change ; invasive plant species ; Ophraella communa ; invasive species management ; contact herbicide ; pelargonic acid ; esterified seed oil ; foliar penetration ; adjuvant ; tank-mix partner ; non-chemical weed management ; rare weeds ; weed control ; winter wheat ; Chinese elm ; woody weed ; chemical control ; stem implantation ; Olea europaea L. ; Mediterranean basin ; agroecological practices ; minimum tillage ; zero tillage ; pollinating and predatory insects ; agroforestry ; intercropping ; consociation ; weeds ; barley ; false seedbed ; cropping system ; bioherbicides ; compost processing ; coniferous volatiles ; Pinus densiflora ; Pinus koraiensis ; thermal resistance ; durum wheat ; seed germination ; polyphenols ; flavonoids ; Portulaca oleracea ; Stellaria media ; rice ; cultural methods ; herbicides ; impacts ; soil microorganisms ; soil enzymes ; Triticum durum ; soil seedbank ; species diversity ; weed communities ; old landraces ; multivariate statistics ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PST Botany & plant sciences
    Language: English
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  • 99
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The bioeconomy—using renewable bio-resources from the soil and sea to produce food, materials and energy—supports the achievement of sustainable development goals. Its scope is very broad as it involves primary production sectors (agriculture) and sectors that use these resources (manufacture of food, beverages and tobacco). This Special Issue, “Prospects and Challenges of Bioeconomy Sustainability Assessment”, includes an Editorial, thirteen articles, ten reviews and one perspective with international authors. All papers are highly innovative and support the goals of a sustainable world.
    Keywords: AHP ; bioeconomy ; biomethane ; energy community ; Italy ; point scale ; stakeholders’ engagement ; sustainability ; agrarian extractivism ; cheap food ; food regime ; Latin America ; social-ecological transformation ; soy ; environmental awareness ; behavior change ; SWOT analysis ; qualitative analysis ; education for sustainable development ; green movement ; environmentalism ; environmental science ; environmental education ; communication ; stakeholders ; reporting ; bibliometric review ; sustainability reporting ; sustainability performance ; indicators ; multi-criteria decision analysis ; policy implications ; Sustainable Development Goals ; carbon capture and storage ; aqueous bases ; reactor design ; chemical absorption ; FTIR ; absorption capacity ; in-line measurements ; 3D-printed reactors ; digital innovation hub ; value proposition canvas ; ecosystem sustainability ; digital transformation ; model-based design ; cyber-physical system ; collaboration platform ; microbial bioremediation ; cost of bioremediation ; bioremediation industry ; COD solubilization ; chemo sonic pretreatment ; biohydrogen ; specific energy ; biomass ; biotechnology ; agro-ecology ; territorial development ; cluster analysis ; bioplastic ; lactic acid ; PLA ; poly(lactic acid) ; cellulose ; lignocellulose ; cow manure ; circular economy ; bioeconomy education ; bioeconomy learning ; higher education ; vocational education and training ; n/a ; interval-valued intuitionistic fuzzy sets ; distance measure ; closeness coefficient ; barriers ; MADA ; biofuel sector ; sustainable agriculture ; multi-criteria decision making ; TOPSIS ; social LCA ; life-cycle costing ; bioenergy ; biorefinery ; industry 4.0 ; agri-food supply chain ; agri-food 4.0 supply chain ; agri-food 4.0 ; supply chain 4.0 ; food waste management ; water management ; agriculture 4.0 ; LAC region ; bibliometric analysis ; biofuels ; R software ; sustainable supply chain management ; sustainable development ; social responsibility ; environmental issues ; water quality ; pollutant ; surface water ; monitoring ; Pakistan ; drinking water ; 2030 Agenda ; natural resources ; participation ; microorganisms ; energy ; biocatalysis ; biotransformation ; industrial applications ; circular bioeconomy ; greenhouse gas ; biomass production ; second-generation bio-fuels ; environment ; climate change ; pigs ; soya bean ; grass ; protein ; biogas ; lignin ; straw ; heating ; NaOH ; pretreatment ; sustainalist ; sustainable revolution ; SDG ; quality of life ; sustainalism ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
    Keywords: abnormal gait behavior ; OpenPose ; machine learning ; XGBoost ; random forest ; horse locomotion ; training effect ; inertial measurement units ; sports technology ; football ; motion analysis ; IMU ; trajectory reconstruction ; human-computer interactive ; data glove ; virtual hand ; emotion driven ; test ; visual tracking ; Siamese tracker ; tracking drift ; background clutter ; deep learning ; surgical skills assessment ; computer vision ; surgical education ; biomedical engineering ; multi-modal ; human activity recognition ; markerless ; RGB-D ; general movements ; infant movement analysis ; movement disorders ; surface electromyography ; forearm amputee ; hand posture ; visual feedback training ; pattern recognition ; artificial neural network ; hand gesture recognition ; electromyography ; inertial measurement unit ; reinforcement learning ; deep Q-network ; extreme learning machine ; force myography ; grasshopper optimization algorithm ; k-tournament selection ; frequency emphasis ; ensemble learning ; sign language recognition ; gloss prediction ; transformer ; pose-based approach ; pose estimation ; emotion judgment system ; adaptive interactive game ; set of optimal signal features ; sensor ; MARG ; MIMU ; orientation estimation ; sensor fusion algorithm ; dataset ; orientation algorithm benchmarking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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