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  • machine learning  (586)
  • Q1-390  (396)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Anthropogenic greenhouse gas (GHG) emissions are dramatically influencing the environment, and research is strongly committed to proposing alternatives, mainly based on renewable energy sources. Low GHG electricity production from renewables is well established but issues of grid balancing are limiting their application. Energy storage is a key topic for the further deployment of renewable energy production. Besides batteries and other types of electrical storage, electrofuels and bioderived fuels may offer suitable alternatives in some specific scenarios. This Special Issue includes contributions on the energy conversion technologies and use, energy storage, technologies integration, e-fuels, and pilot and large-scale applications.
    Keywords: Q1-390 ; QC1-999 ; n/a ; PV ; GHG savings ; lithium-ion battery (LIB) ; probability prediction ; decarbonization ; supercapacitor (SC) ; least squares support vector machine ; EV fleet forecasts ; alternative maritime power (AMP) ; Markov chain ; feasibility study ; D funding ; hybrid power system ; numerical analysis ; ship structure ; optimal sizing ; cellulosic ethanol ; electric vehicles EV ; biofuel ; green ship ; R&amp ; bulk carrier ; molten carbonate fuel cell system ; sparse Gaussian process regression ; power-to-gas ; combination method ; charging infrastructure ; jet fuel ; flow characteristics ; hybrid refinery ; LNG-fueled ship ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: DNA methylation, a modification found in most species, regulates chromatin functions in conjunction with other epigenome modifications, such as histone post-translational modifications and non-coding RNAs. In mammals, DNA methylation has an essential role in development by orchestrating the generation and maintenance of the phenotypic diversity of human cell types. Recent years have brought spectacular advances in our understanding of the mechanism, function and regulation of DNA methyltransferases through their interaction with other epigenome modifications, chromatin factors and post-translational modifications, which are described in this Special Issue of Genes. Manuscripts are specifically addressing describing the targeting and regulation of DNA methyltransferases by interacting factors and their roles in cellular differentiation and the development of diseases. Prof. Dr. Albert Jeltsch and Prof. Dr. Humaira Gowher, Guest Editors
    Keywords: QH301-705.5 ; Q1-390 ; DNMTs ; n/a ; histone modification ; TBRS ; DNA methyltransferases ; autoinhibition ; epigenetics ; DNMT ; cell identity ; embryogenesis ; dwarfism ; DNMT3B ; germ cells ; HSAN1E ; USP7 ; DNMT3A ; DNA methyltransferase ; gene expression ; DNMT1 ; de novo DNA methylation ; DNA methyltransferase structure ; UHRF1 ; DNA methyltransferase mechanism ; allosteric regulation ; rare diseases ; DNA Methylation ; maintenance DNA methylation ; DNA methylation ; ADCA-DN ; PCC/PGL ; ubiquitination ; TETs ; DNA methyltransferase function ; molecular epigenetics ; DNA methyltransferase regulation ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; 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
    Language: English
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  • 5
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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
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
    Keywords: prallethrin ; insecticide ; spatial treatment ; mosquito fitness ; protection ; pyrethroids ; Aedes albopictus ; Culex pipiens ; life tables ; mosquito ; bite-proof garment ; model ; textile ; non-insecticidal ; physical barrier ; insecticide selection ; out-crossing ; strain authentication ; laboratory screening ; pyrethroid ; pyrethroid resistance ; insecticide resistance ; insecticide resistance management ; vector control ; malaria ; malaria control ; Anopheles ; host-seeking behavior ; insecticide exposure ; pathogen transmission ; Aedes aegypti ; Anopheles gambiae ; ATSB ; Culex quinquefasciatus ; Iroquois ; RNAi ; Saccharomyces cerevisiae ; yeast ; Anopheles mosquito ; fertility ; ovary development ; pyriproxyfen (PPF) ; side-effects ; machine learning ; image classification ; automated identification ; convolutional neural network ; insecticide-treated net (ITN) ; PBO ITN ; synergist ITN ; dual-AI ITN ; insecticide resistance management (IRM) ; method validation ; durability monitoring ; bioinsecticide ; disease transmission ; insecticide-resistance ; mosquito-borne disease ; mosquito control ; natural compounds ; phytochemical ; malaria vector ; insecticide treated nets ; cytochrome P450s ; kdr ; cuticular resistance ; deltamethrin ; imidacloprid ; bifenthrin ; β-cyfluthrin ; etofenprox ; α-cypermethrin ; λ-cyhalothrin ; thiacloprid ; mosquitoes ; Attractive Toxic Sugar Bait (ATSB) ; Attractive Targeted Sugar Bait (ATSB) ; diagnostic bioassay ; resistance monitoring ; insecticide-treated nets (ITN) ; strain characterisation ; method development ; product evaluation ; quality control (QC) ; dual active ingredients (dual-AI) ; bioefficacy ; IRS ; application technology ; broflanilide ; clothianidin ; pirimiphos-methyl ; WHO tube ; WHO tunnel test ; ITNs ; interceptor ; interceptor G2 ; membrane ; human arm ; rabbit ; bioassay ; bio-efficacy ; 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::PSB Biochemistry
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  • 9
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 10
    Publication Date: 2024-04-05
    Description: Newborn Screening for Sickle Cell Disease and other Haemoglobinopathies is a Special Issue of the International Journal of Neonatal Screening. Sickle cell disease is one of the most common inherited blood disorders, with a huge impact on health care systems due to high morbidity and high mortality associated with the undiagnosed disease. Newborn screening helps to make the diagnosis early and to prevent fatal complications and diagnostic odysseys. This book gives an overview of diagnostic standards in newborn screening for sickle cell disease and examples of existing newborn screening programs.
    Keywords: QD1-999 ; Q1-390 ; glucose-6-phosphate dehydrogenase ; hydroxyurea/hydroxycarbamide ; n/a ; cord blood ; screening ; hemoglobin pattern ; capillary electrophoresis ; sickle cell disease ; (recommended) screening panel ; vaso-occlusive crisis ; Guthrie spots ; newborn screening) ; foetal haemoglobin ; harmonisation ; review ; birth prevalence ; G6PD deficiency ; prevention ; end-organ damage ; thalassemia ; MALDI-TOF ; IEF ; acute chest syndrome ; India ; sickle cell and thalassaemia screening programme ; ‘Getting to Outcomes’ ; newborn screening ; hemoglobinopathy ; service users ; public health engagement ; automated HPLC ; Kaduna State ; gene therapy for haemoglobinopathies ; ?-globin gene ; methods ; neonatal screening program ; malaria ; Plasmodium vivax ; sub-Saharan Africa ; patient organisations ; health policy ; pathophysiology ; Sickle Cell Disease ; mass spectrometry ; sickle cell disorder ; neonatal screening ; non-tribal ; Nigeria ; point-of-care ; HPLC ; laboratory methods ; registry ; patient advocacy ; bone marrow transplant ; anaemia ; hemoglobinopathies ; tribal ; newborn ; burden of disease ; patient representatives ; diagnostics ; policy making ; haemolysis ; Caribbean ; high performance liquid chromatography (HPLC) ; sickle cell disease (SCD) ; implementation science ; thema EDItEUR::P Mathematics and Science::PN Chemistry
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; 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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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; 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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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; 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: 2023-12-20
    Description: This Special Issue contains one review and five original articles, all of which address cutting-edge research in the field of water and environmental virology. The review article by Gerba and Betancourt summarizes the current status and future needs for the development of virus detection methods in water reuse systems, especially focusing on methods to assess the infectivity of enteric viruses. Original papers cover a variety of research topics, such as an environmental monitoring survey of group A rotaviruses in sewage and oysters in Japan, the occurrence and genetic diversity of noroviruses and rotaviruses in a wastewater reclamation system in China, the detection of viruses and their indicators in tanker water and its sources in Nepal, integrated culture next-generation sequencing to identify the diversity of F-specific RNA coliphages in wastewater, and the development of a portable collection and detection method for viruses from ambient air and its application to a wastewater treatment plant.
    Keywords: Q1-390 ; reuse ; aerosols ; viral indicator ; wastewater treatment ; microbial contamination ; index virus ; real-time PCR ; tanker water ; virus ; wastewater reclamation ; pathogenic virus ; infectivity ; chlorination ; molecular methods ; wastewater ; next-generation sequencing ; fecal source tracking ; oyster ; fecal-source marker ; viral contamination ; cell culture ; pathogenic microorganisms ; rotavirus ; ultraviolet disinfection ; F-specific RNA bacteriophage strain ; sewage ; waterborne gastroenteritis viruses ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
    Keywords: data envelopment analysis ; Kohonen self-organizing maps ; factor analysis ; multiple regression ; energy efficiency ; social media ; energy-consuming activities ; energy consumption ; machine learning ; ontology ; energy performance certificate ; heating energy demand ; buildings ; data mining ; classification ; regression ; decision tree ; support vector machine ; random forest ; artificial neural network ; open data ; electrification modelling ; Malawi ; OnSSET ; MESSAGEix ; reproducibility ; collaborative work ; open modelling and data ; data-handling ; integrated assessment modelling ; data pre- and post-processing ; space heating ; domestic hot water ; market assessment ; EU28 ; district heating ; data analytics ; big data ; forecasting ; energy ; polygeneration ; clustering ; kNN ; pattern recognition ; heating ; building stock ; heat map ; spatial analysis ; heat density map ; building performance simulation ; parametric modelling ; energy management ; model calibration ; Passive House ; energy planning ; energy potential mapping ; urban energy atlas ; urban energy transition ; energy data ; data-aware planning ; spatial planning ; open data analytics ; smart cities ; open energy governance ; urban database ; energy mapping ; building dataset ; energy modelling ; 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: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; 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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  • 18
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.
    Keywords: initial trajectory ; trajectory optimization ; Bézier surface ; robotics ; open FPGAs ; robot control ; surgical robotics ; human–machine interaction ; autonomous guidance ; low-cost platform ; FPGA ; S-curve ; motion control ; SoC ; telemanipulation ; haptics ; machine learning ; gesture recognition ; upper limb rehabilitation robot ; particle swam optimization (PSO) ; artificial bee colony (ABC) ; Ziegler Nichols ; Maximum sensitivity ; ontology ; robot task planning ; knowledge base ; knowledge representation ; industrial collaborative robots ; shared robotic tasks ; physical human–robot interaction ; human intention recognition ; time series classification ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: “Personalised Nutrition” represents any initiative that attempts to provide tailor-made healthy eating advice based on the nutritional needs of each individual, as these are dictated by the individual’s behaviour, phenotype and/or genotype, and their interactions. This Special Issue of Nutrients is dedicated to the development, implementation and assessment of the effectiveness of evidence-based “Personalised Nutrition” strategies. In this regard, a selection of reviews and original research manuscripts will bring together the latest evidence on how lifestyle habits, physiology, nutraceuticals, gut microbiome and genetics can be integrated into nutritional solutions, specific to the needs of each individual, for maintaining health and preventing diseases.
    Keywords: QH301-705.5 ; Q1-390 ; TX341-641 ; n/a ; gene-based ; taste ; postprandial leptin ; children ; personalised ; obesity ; macronutrient composition ; gastrointestinal symptoms ; postprandial adiponectin ; formula diet ; avoidance diet ; weight loss ; weight ; omega-3 fatty acids ; microbiome ; genotype ; nutrition ; direct-to-consumer test ; intervention ; clinical nutrition ; postprandial total ghrelin ; dietary intervention ; microbiota ; low-carbohydrate diet ; insulin ; FADS polymorphism ; adults ; genetics ; diet ; healthcare professionals ; HbA1c ; PROX1 gene ; phenotype ; high-fat meal ; glucose ; personalised nutrition ; irritable bowel syndrome ; dietary recommendation ; postprandial metabolic fingerprinting ; type 2 diabetes mellitus risk ; high-carbohydrate meal ; health ; ultra-high performance liquid chromatography ; food allergy ; normo-carbohydrate meal ; nutrimetabolomics ; type 2 diabetes ; nutrigenetics ; gene–diet interaction ; personalized nutrition ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
    Keywords: carbon-ion radiotherapy ; head-and-neck tumors ; squamous cell carcinoma ; radiosensitivity ; relative biological effectiveness ; lung cancer ; radiotherapy ; radiotherapy monitoring ; radiation-induced lung injury ; RILI ; pneumonitis ; radiation-induced lung fibrosis ; RILF ; circulating biomarkers ; microRNA ; micronuclei ; uterine cervical cancer ; cGAS ; STING ; abscopal effect ; immunotherapy ; PBMCS ; micronucleus assay ; biological dosimetry ; human blood ; genotoxicity tests ; ionizing radiation ; biomarkers ; dicentric assay ; gamma H2AX foci assay ; health surveillance analyses ; clonogenic assays ; methods ; plating ; cancer ; radiation ; head and neck cancer ; exosomes ; serum ; metabolomics ; GC/MS ; biodosimetry ; chromosome aberrations ; normal tissue toxicity ; predictive tests ; normal tissue ; biomarker ; protein ; immune infiltrate ; stroma ; tumour microenvironment ; proteomics ; telomeres ; chromosomal instability ; inversions ; prostate cancer ; IMRT ; machine learning ; individual radiosensitivity ; late effects ; personalized medicine ; liquid biopsy ; circulating tumour cells ; extracellular vesicles ; microRNAs ; immune system ; inflammation ; n/a
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  • 21
    Publication Date: 2023-12-20
    Description: Landscapes have long been viewed as ‘multifunctional’, integrating ecological, economic, sociocultural, historical, and aesthetic dimensions. Landscape science and public awareness in Europe have been progressing in leaps and bounds. The challenges involved in landscape-related issues and fields, however, are multiple and refer to landscape stewardship and protection, as well as to the development of comprehensive theoretical and methodological approaches, in tandem with public sensitization and participatory governance and in coordination with appropriate top-down planning and policy instruments. Landscape-scale approaches are fundamental to the understanding of past and present cultural evolution, and are now considered to be an appropriate spatial framework for the analysis of sustainability. Methods and tools of landscape analysis and intervention have also gone a long way since their early development in Europe and the United States. Although significant progress has been made, there remain many issues which are understudied or not investigated at all—at least in a Mediterranean context. This Special Issue addresses the application of landscape theory and practice in the Eastern Mediterranean and mainly, but not exclusively, reports on the outcomes of an international conference held in Jordan, in December 2015, with the title “Landscapes of Eastern Mediterranean: Challenges, Opportunities, Prospects and Accomplishments”. The focus of this Special Issue, landscapes of the Eastern Mediterranean region, thus constitutes a timely area of research interest, not only because these landscapes have so far been understudied, but also as a rich site of strikingly variegated, long-standing multicultural human–environmental interactions. These interactions, resting on and taking shape through millennia of continuity in tradition, have been striving to adapt to technological advances, while currently juggling with manifold and multilayered socioeconomic and climate–environmental crises.
    Keywords: G1-922 ; Q1-390 ; n/a ; landscape archaeology ; Cyprus ; Landscape Character Assessment (LCA) ; Eastern Mediterranean ; Land Description Units ; stakeholders’ analysis ; UK ; local authority ; ancient sanctuaries ; East Med landscape ; Twain-born Border Lord ; Landscape Decision Support System ; mapping ; topography ; Byzantine landscape and garden art ; economy ; LCA ; classification ; churches ; Arabic-speaking ; participatory ; Landscape Risk Assessment Model ; landforms ; GIS ; planning ; typology ; Greek-speaking ; public realm ; landscape changes ; sacred space ; comparative study ; urban environment ; ideology ; political power ; Arabic landscape and garden art ; cultural sustainability ; historical maps ; religion ; rural land ; multi-functional landscapes ; Lebanon ; Mediterranean ; geographical information system ; spatial distributions ; Land Description Unit (LDU) ; political sustainability ; landscape ; landscape character assessment ; governance ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 22
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the implementation of sustainable concrete systems has been a topic of great interest in the field of construction engineering worldwide, as a result of the large and rapid increase in carbon emissions and environmental problems resulting from traditional concrete production and industry. For example, the uses of supplementary cementitious materials, geopolymer binder, recycled aggregate and industrial/agricultural wastes in concrete are all approaches to building a sustainable concrete system. However, such materials have inherent flaws due to their variety of sources, and exhibit very different properties compared with traditional concrete. Therefore, they require specific modifications in preprocessing, design, and evaluation before use in concrete. This reprint, entitled “Advances in Sustainable Concrete System”, covers a broad range of advanced concrete research in environmentally friendly concretes, cost-effective admixtures, and waste recycling, specifically including the design methods, mechanical properties, durability, microstructure, various models, hydration mechanisms, and practical applications of solid wastes in concrete systems.
    Keywords: high-strength concrete ; energy evolution ; elastic strain energy ; brittleness evaluation index ; concrete ; humidity ; moisture absorption ; moisture desorption ; numerical simulation ; acoustic emission ; AE rate process theory ; corrosion rate ; damage evolution ; axial load ; precast concrete structure ; lattice girder semi-precast slabs ; bending resistance ; FE modelling ; concrete damage ; GSP ; high strength ; hydration ; strength ; penetrability ; rice husk ash ; sustainable concrete ; artificial neural networks ; multiple linear regression ; eco-friendly concrete ; green concrete ; sustainable development ; artificial intelligence ; data science ; machine learning ; bagasse ash ; mechanical properties ; natural coarse aggregate ; recycled coarse aggregate ; two-stage concrete ; materials design ; recycled concrete ; crumb rubber concrete ; crumb rubber ; NaOH treatment ; lime treatment ; water treatment ; detergent treatment ; compressive strength ; materials ; adhesively-bonded joint ; temperature aging ; residual strength ; mechanical behavior ; failure criterion ; steel slag powder ; compound activator ; mortar strength ; orthogonal experiment ; GM (0, N) model ; ultrafine metakaolin ; silica fume ; durability ; fiber-reinforced concrete ; damage mechanism ; uniaxial tension ; cracked concrete ; crack width ; crack depth ; tortuosity ; sustainability ; concrete composites ; sulfate and acid attacks ; WPFT fibers ; coal gangue ; gradation ; cement content ; unconfined compressive strength ; freeze–thaw cycle ; minimum energy dissipation principle ; three-shear energy yield criterion ; damage variable ; constitutive model ; phosphorus slag ; limestone ; sulphate-corrosion resistance ; volume deformation ; blast furnace ferronickel slag ; alkali-activated material ; dosage of activator ; reactive powder concrete ; beam-column joint ; FE modeling ; crack ; cementitious gravel ; fly ash ; age ; optimal dosage ; bamboo ; sawdust ; pretreatment ; bio-based material ; mechanical property ; self-compacting concrete ; supplementary cementitious materials ; hydration mechanisms ; microstructure ; fresh properties ; synthetic polymer ; high temperature ; bentonite-free drilling fluid ; rheology ; filtration ; FRP reinforced concrete slab ; punching shear strength ; SHAP ; 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::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; simulation ; high-frequency ; artificial flashover tests ; wide bandgap power modules ; tracking ; electrical field strength ; fast-rise square wave voltages ; FDTD simulation ; cable joint ; corona discharge ; feature selection ; post insulator ; earthing systems ; wind speed ; surface discharge ; oil/paper insulation ; oil-paper insulation ; high-magnitude currents and impulse polarity ; UFVM ; Tettex 9520 ; electrical tree ; flashover characteristics ; composite insulator ; partial discharge ; numerical modeling ; saline mechanism ; thermal parameters ; space charge density ; seasonal ; ion flow field ; denoising ; DDX 9121b ; temperature ; transformer asset management ; cavity discharge ; space/interface charge ; insulation health index ; heat transfer model ; leakage current ; machine learning ; partial discharges (PD) ; RF signal ; flashover ; high impulse conditions ; grounding electrodes ; generalized finite difference time domain ; curve fitting ; grounding ; plasma discharge ; outdoor insulators ; flashover dynamic model ; wavelet transform ; degradation ; thermal properties ; bipolar charge transport model ; UHF sensor ; cable ; random walk theory ; tracking test setup ; GIL ; pressure ; modelling ; non-uniform pollution between windward and leeward sides ; calibrator ; secondary arc ; polymeric insulation ; optical-UHF integrated detection ; shoreline ; dry band arcing ; photoelectric fusion pattern ; DDX 8003 ; XLPE ; silicone gel ; partial discharge modeling ; electric field analysis ; NSCT ; electrode’s geometry ; gas ; Comsol Multiphysics ; fast-impulses ; laying modes ; ageing ; cable ampacity ; residual resistance formulation ; finite element analysis ; thermal effect ; hydrophobicity ; soil resistivity ; charge simulation method ; short-circuit discharge ; dry band formation ; 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 book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Keywords: subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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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: 2023-12-20
    Description: The practical importance of economic valuation information can hardly be overstated. Coastal and marine resource policy planning and management benefit from complete information on the impact of policy decisions.
    Keywords: Q1-390 ; internet survey ; open access ; contingent valuation method ; coastal management ; tourism ; Thailand ; marine ; wetlands ; harmful algae blooms ; environmental valuation ; quota ; cyanobacteria ; estuarine and coastal ecosystems ; wealth accounting ; seawater quality ; economic analysis ; remote sensing ; ecosystem restoration ; coastal ecosystems ; random utility model ; contingent behavior ; public policy ; habitat–fishery linkages ; Barbados ; coastal ecosystem services valuation ; fishery ; mangroves ; ecosystem services valuation ; coral reefs valuation ; recreational boating ; regulated open access ; non-market value ; economic valuation ; ecosystem services ; coastal ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 27
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: The Hippo pathway is a highly dynamic cellular signaling nexus that plays central roles in multiple cell types and regulates regeneration, metabolism, and development. The Hippo pathway integrates mechanotransduction, cell polarity, inflammation, and numerous types of paracrine signaling. If not tightly regulated, dysregulated Hippo pathway signaling drives the onset and progression of a range of diseases, including fibrosis and cancer. The molecular understanding of the Hippo pathway is rapidly evolving. This Special Issue contains ten articles contributed by established and up-and-coming Hippo pathway experts that, as a whole, provides an up-to-date overview of how dysregulated Hippo pathway activity is a common driver of specific diseases. The articles have a particular focus on the underlying molecular and cellular mechanisms that cause the Hippo pathway to go awry, and especially how this drives disease. The articles analyze disease-specific as well as common themes, which provides valuable insights into the fundamental molecular mechanisms in the dysfunctioning Hippo pathway, and thereby offer practical insights into potential future therapeutic intervention strategies.
    Keywords: QH301-705.5 ; Q1-390 ; STRIPAK ; skin cancer ; n/a ; Lats2 ; transcription ; myofibroblast ; epigenetic ; Hippo ; cancer immunity ; TAZ ; Taz ; TAZ (transcriptional co-activator with PDZ-binding motif) ; adaptive immunity ; fibroblasts ; innate immunity ; LATS ; MST (mammalian STE20-like protein kinase) ; phosphorylation ; stem cells ; wound healing ; signal transduction ; angiogenesis ; LATS1/2 ; EMT ; protein-protein interactions ; structure biology ; Hippo pathway ; hippo pathway ; autoimmunity ; Mps one binder ; YAP/TAZ ; GPCR ; fibrosis ; MST1/2 ; YAP (yes-associated protein) ; YAP ; Yap ; protein kinase ; LATS (large tumor suppressor kinase) ; peripheral nerve sheath tumor ; signal cross-talk ; stem cell ; skin development ; STK38 ; tumorigenesis ; NDR ; schwannoma ; G protein-coupled receptor ; anti-cancer therapy ; feedback loops ; vascular mimicry ; castration resistance ; chromatin ; Hippo signalling ; ECM ; MST ; prostate cancer ; TEAD ; cancer ; zebrafish ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 28
    Publication Date: 2024-04-05
    Description: Planting trees in the agricultural landscape, in the form of establishing agroforestry systems, has a significant role to play in potentially improving ecosystem services, such as increased biodiversity, reduced soil erosion, increased soil carbon storage, improved food security and nutrition, and reduced greenhouse gas emissions. While the role of trees in agroforestry systems in improving ecosystem services has been researched, studies in new systems/regions and new agroforestry system designs are still emerging. This Special Issue includes selected papers presented at the 4th World Congress on Agroforestry, Montpellier, France 20–22 May 2019, and other volunteer papers. The scope of articles includes all aspects of agroforestry systems.
    Keywords: QH301-705.5 ; Q1-390 ; S1-972 ; farmers’ knowledge ; ahannon-wiener index ; economic benefits ; alley cropping ; lignin ; shelterbelts ; agroforestry ; natural capital ; forest farming ; nutrient content ; agroforestry system ; review ; Amazonia ; cropland ; riparian buffers ; climate change ; subtropical acidic forest soil ; bees ; phosphorus ; pollination ; 15N tracing experiment ; stable isotope ; West Java ; interspecific competition ; growth form ; cropping system ; climate change mitigation ; gross N transformation rates ; East Africa ; improved-fallow ; N-fixing trees ; carbon sequestration ; home garden ; margalef index ; windbreaks ; leaf nutrient diagnosis ; agroforestry systems ; pollinators ; sorption ; forestland ; China ; temperature change ; fractionation ; hedgerows ; native trees ; slash-and-mulch ; soil N ; shade tree species ; soil C ; Alpinia oxyphylla ; sustainable management ; plant water use ; rubber-based agroforestry system ; ecosystem services ; Indonesia ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 29
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: The book provides a comprehensive overview of nanostructures and methods used to design biosensors, as well as applications for these biosensor nanotechnologies in the biological, chemical, and environmental monitoring fields. Biological sensing has proven to be an essential tool for understanding living systems, but it also has practical applications in medicine, drug discovery, food safety, environmental monitoring, defense, personal security, etc. In healthcare, advancements in telecommunications, expert systems, and distributed diagnostics are challenging current delivery models, while robust industrial sensors enable new approaches to research and development. Experts from around the world have written five articles on topics including:Diagnosing and treating intraocular cancers such as retinoblastoma; Nanomedicine in cancer management; Engineered nanomaterials in osteosarcoma diagnosis and treatment; Practical design of nanoscale devices; Detect alkaline phosphatase quantitatively in clinical diagnosis; Progress in the area of non-enzymatic sensing of dual/multi biomolecules; Developments in non-enzymatic glucose and H2O2 (NEGH) sensing; Multi-functionalized nanocarrier therapies for targeting retinoblastoma; Galactose functionalized nanocarriers; Sensing performance, electro-catalytic mechanism, and morphology and design of electrode materials; Biosensors along with their applications and the benefits of machine learning; Innovative approaches to improve the NEGH sensitivity, selectivity, and stability in real-time applications; Challenges and solutions in the field of biosensors.
    Keywords: advanced nanomaterials ; dual in-line sensing ; bi-functional properties ; non-enzymatic ; electrochemical sensing ; glucose and H2O2 ; nanotechnology ; bone diseases ; drug delivery ; nanocarriers ; osteosarcoma ; tumor-targeted ; retinoblastoma ; rare cancer ; surface-tailored multi-functionalized nanoparticles ; metallic nanoparticle ; tumor-suppressor gene mutation ; alkaline phosphatase ; terminal protection ; copper nanoparticle ; fluorescence ; biosensor ; electrochemical ; sensitivity ; amperometric ; voltammetric ; food quality monitoring ; machine learning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 30
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
    Keywords: pig weight ; body size ; estimation ; deep learning ; convolutional neural network ; pig identification ; mask scoring R-CNN ; soft-NMS ; group-housed pigs ; audio ; dairy cow ; mastication ; jaw movement ; forage management ; precision livestock management ; equine behavior ; wearable sensor ; intermodality interaction ; class-balanced focal loss ; absorbing Markov chain ; cow behavior analysis ; prediction of calving time ; cow identification ; EfficientDet ; YOLACT++ ; cascaded model ; instance segmentation ; generative adversarial network ; machine learning ; automated medical image processing ; deep neural network ; animal science ; CT scans ; computer vision ; cow ; extensive livestock ; sensorized wearable device ; monitoring ; parturition prediction ; radar sensors ; radar signal processing ; animal farming ; computational ethology ; signal classification ; wavelet analysis ; dairy welfare ; hierarchical clustering ; mutual information ; precision livestock farming ; time budgets ; unsupervised machine learning ; wearables design ; animal-centered design ; animal telemetry ; modularity ; smart collar ; design contributions ; additive manufacturing ; low-frequency tracking ; commercial aviary ; laying hens ; false registrations ; tree-based classifier ; animal behaviour ; 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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  • 31
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-01-31
    Description: This edition is a reprint of the Special Issue published online in the open access journal Remote Sensing (ISSN 2072-4292) from 2016–2017 (available at: http://www.mdpi.com/journal/remotesensing/special issues/rsALS), complemented by selected articles published in Remote Sensing
    Keywords: G1-922 ; Q1-390 ; Airborne Lidar Systems ; Data Processing
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  • 32
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10
    Keywords: G1-922 ; Q1-390 ; knowledge base ; metadata ; Synthetic Aperture Radar ; versioning ; web services ; web application ; sustainable development goals ; earth observations ; FAIR principles ; land cover classification ; semantic enrichment ; satellite imagery ; imagery ; analysis ; information extraction ; ARD ; analysis ready data ; swiss DC ; data cube ; Open Data Cube ; UN 2030 Agenda for Sustainable Development ; time-series ; graph data ; Digital Earth Australia ; query store ; open data cube ; pyroSAR ; R ; earth oberservation ; image cube ; sentinel ; open science ; Sentinel ; reproducibility ; change ; big EO data ; earth observation ; big Earth data ; Earth Observations ; Australia ; geospatial standards ; big earth data ; visualization ; UN System of Environmental Economic Accounting ; interferometric coherence ; dynamic data citation ; intelligent semantic agents ; data curation ; snow cover ; big data ; Analysis Ready Data ; climate change ; topology based map algebra ; data provenance ; Sentinel-1 ; Sentinel-2 ; remote sensing ; interoperability ; image data cube ; optical remote sensing ; dual-polarimetric decomposition ; GIS ; Gran Paradiso National Park ; data sharing ; SAR ; map algebra ; Earth observation ; Armenian DC ; data cubes ; Data Cube ; data discovery ; Earth observation data ; persistent identifier ; Landsat ; GRASS GIS ; subset ; landsat ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 33
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: The range of human neurodegenerative diseases continues to pose significant unmet medical needs for societies around the world. The progressive and terminal nature of these conditions places a considerable personal burden on the individual affected but also on public health systems and health services. Tens of millions of people are indiscriminately affected by various dementias, which are rising at an alarming rate. There are no cures for many conditions, and it is clear that treatments applied as early as possible could greatly improve outcomes for patients. Therefore, new disease classification and diagnostic tools should be a key priority. Metabolomics represents a relatively new field of analytical science, which can be extremely useful in the early diagnosis of disease. The relatively unique feature of metabolites is that they sit at the intersection between the genetic background of an organism and its environment. Because many neurodegenerative diseases are not genetically inherited (instead having a range of known genetic risk factors and also a large number of unknown environmental triggers) the field of metabolomics offers great promise for the discovery of new, biologically, and clinically relevant biomarkers for neurodegenerative disorders. It is already bringing forward new knowledge in terms of the mechanisms of neurodegenerative disease.
    Keywords: QH301-705.5 ; Q1-390 ; glutamic acid ; n/a ; direct mass spectrometry ; neurodegeneration ; 6-OHDA ; targeted mass spectrometry ; mitochondrial dysfunction ; myo-inositol ; metabolomics ; bile acids ; subacute mild traumatic brain injury ; age-related macular degeneration ; metabolic pathways ; energy metabolism ; midbrain ; Alzheimer’s disease ; biomarkers ; 1H NMR ; Parkinson’s disease dementia ; GC-MS ; pathogenesis ; tricarboxylic acid cycle ; micro-dialysis ; 13C-labeled succinate ; metabolism ; lipidomics ; dementia with Lewy bodies ; fatty acid ; prodromal Parkinson’s disease ; malonate ; cerebral ischemia ; mass spectrometry ; retinal pigment epithelium ; excitotoxicity ; endothelin-1 ; reperfusion ; C. elegans ; Streptomyces venezuelae ; ?-synuclein aggregates ; natural product ; fatty acid metabolism ; imaging mass spectrometry ; LC-MS ; drusen ; cerebral palsy ; plasma ; Parkinson’s disease ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 34
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Welfare is a multidimensional concept that can be described as the state of an animal as it copes with the environment. Captive environments can impact farmed animals at different levels, especially fishes, considering their highly complex sensory world. Understanding the ethology of a species is therefore essential to address fish welfare, and the interpretation of behavioral responses in specific rearing contexts (aquaculture or experimental contexts) demands knowledge of their underlying physiological, developmental, functional, and evolutionary mechanisms. In natural environments, the stress response has evolved to help animals survive challenging conditions. However, animals are adapted to deal with natural stressors, while anthropogenic stimuli may represent stressors that fishes are unable to cope with. Under such circumstances, stress responses may be maladaptive and cause severe damage to the animal. As welfare in captivity is affected in multiple dimensions, multiple possible indicators can be used to assess the welfare state of individuals. In the past, research on welfare has been largely focusing on health indicators and predominantly based on physiological stress. Ethological indicators, however, also integrate the mental perspective of the individual and have been gradually assuming an important role in welfare research: behavioral responses to stressors are an early response to adverse conditions, easily observable, and demonstrative of emotional states. Many behavioral indicators can be used as non-invasive measurements of welfare in practical contexts such as aquaculture and experimentation. Presently, research in fish welfare is growing in importance and interest because of the growing economic importance of fish farming, the comparative biology opportunities that experimental fishes provide, and the increasing public sensitivity to welfare issues.
    Keywords: QH301-705.5 ; SF1-1100 ; Q1-390 ; n/a ; muscle texture ; fractal analysis ; fish welfare ; Danio rerio ; motivation ; histopathology ; elevated phosphate concentrations ; sharks ; welfare ; African catfish (Clarias gariepinus) ; feed efficiency ; fighting ability ; aggressive interaction ; social rank ; boldness ; ethology ; fisheries management ; physiological response ; FishEthoBase ; welfare scores ; welfare criteria ; stress ; pain ; stereotypical behaviour ; Scyliorhinus canicula ; animal behavior ; welfare enhancement ; social communication ; nociception ; negative and positive affect ; aggression ; fertilisation success ; risk analysis ; aquaculture ; hematology ; Amyloodinium ocellatum ; framework ; structural complexity ; territorial ; growth ; positive welfare ; social stress ; age ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 35
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: The re-use of industrial food residues is essential in the general framework of rational waste handling and recycling, which aims at the minimizing environmental impact of food production and producing functional food ingredients. Agri-food processing waste has long been considered a valuable biomass with a significant polyphenol load and profile. Polyphenols, aside from being powerful antioxidants that confer inherent stability to a variety of foods, may possess versatile bioactivities including anti-inflammatory and chemopreventive properties. The valorization of agri-food waste as a prominent source of polyphenols stems from the enormous amount of food-related material discharged worldwide and the emerging eco-friendly technologies that allow high recovery, recycling, and sustainable use of these materials. This book addresses the concept of recovering natural polyphenolic antioxidants from waste biomass generated by agri-food and related industrial processes and presents state-of-the-art applications with prospect in the food, cosmetic, and pharmaceutical industries.
    Keywords: QH301-705.5 ; Q1-390 ; TX341-641 ; polyphenols ; n/a ; valorization ; ultrasound assisted extraction ; microwave assisted extraction ; Box–Behnken design ; HPLC-DAD-q-TOF-MS ; Dioscorea batatas ; green oleo-extraction ; grape marc ; quantitative analysis ; natural antioxidants and flavors ; antioxidant ; infrared-assisted extraction ; anti-ageing ; anthocyanins ; liquid chromatography-mass spectrometry ; Chinese yam ; functional food ; extraction ; olive mill wastewater ; adsorbents ; relative solubility simulation ; HPLC-fluorometric detector (FLD)–MS ; saffron ; antioxidants ; food-grade solvents ; Mango ; zero-waste biorefinery ; response surface methodology ; ophthalmic hydrogel ; olive leaves ; sonotrode ultrasonic-assisted extraction ; vegetable oils and derivatives ; anti-inflammatory ; skin whitening ; phenolics ; Brewers’ spent grains ; proanthocyanidins ; brewer’s spent grain ; anti-inflammatory and antioxidant activity ; antimicrobial activity ; by-products ; antiplatelet activity ; phenanthrenes ; wine lees ; bioactive compounds ; deep eutectic solvents ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 36
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: A collection of 18 scientific papers written in honor of Professor Karlheinz Schwarz's 80th birthday. The main topics include spectroscopy, excited states, DFT developments, results analysis, solid states, and surfaces.
    Keywords: density functional theory ; Coulomb systems ; excited states ; nodal variational principle ; DFT ; anatase TiO2(101) surface ; adsorption energy ; Bader charge ; helium atom ; screened Coulomb potential ; variational Monte Carlo method ; Lagrange mesh method ; comparison theorem ; TD-DFT ; MC-PDFT ; Lie–Clementi ; Colle–Salvetti ; OLEDs ; subphthalocyanines ; UV–visible spectra ; axial substituents ; peripheral substituents ; time-dependent DFT ; hexatetra-carbon ; electrical properties ; molecular aggregates ; singlet excitons ; triplet excitons ; TDDFT ; charge-transfer states ; charge-resonance states ; Frenkel states ; localized excitations ; diabatic states ; adiabatic states ; semiconductors ; oscillator strength ; hybrid exchange-correlation functional ; non-local potential ; statistics ; methods comparison ; benchmarking ; band gaps ; atomization energy ; DFT codes ; electronic structure calculation ; numerical accuracy and precision ; kinetic functional ; Yukawa potential ; periodic DFTB ; deMonNano ; graphene ; graphite ; benzene dimers ; deposited benzene ; supported clusters ; weighted mulliken charges ; LAPW method ; APW+lo method ; all-electron DFT ; density matrix functional embedding ; density-functional theory ; householder transformation ; He atomic basis sets ; helium dimer ; He2 potential well ; correlation energy ; complete basis set ; sigma basis set ; atomic multiplet theory ; crystal/ligand-field theory ; coordination compounds ; electronic structure ; Cu2OCl2 ; Cu2OBr2 ; Cu2OI2 ; oxyhalides ; magnetic couplings ; Néel temperature ; chemical pressure ; NMR ; machine learning ; zeolites ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNR Physical chemistry
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  • 37
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Ice crystals are the most ubiquitous material found in the cryosphere environment of the Earth, in the planetary system, and also in our daily lives. In recent years, ice crystals have increased in importance as one of the key materials for finding solutions to settle various environmental concerns at a global scale. Furthermore, ice crystals are unique materials which are potentially extremely useful in various applications, for example, within the food sciences, medical sciences, and other fields. In dealing with these interesting subjects, research on ice crystals has been more actively pursued in recent years. The Special Issue “Ice Crystals” presents a wide varieties of topics related to ice crystals. It can be considered as a status report reviewing the recent research on ice crystals and serves to provide readers with information on the latest developments concerning ice crystals.
    Keywords: Q1-390 ; QC1-999 ; coarsening kinetics ; antifreeze protein ; microstructure ; ice crystals ; decomposition ; formation ; cryo-photo microscopy ; cryoprotective agent ; ice cream ; reformation ; tomography ; deformation ; clathrate hydrate ; Negative thermal expansivity ; tetrahydrofuran ; ice crystal ; pressure ; molecular dynamics ; Grüneisen parameter ; modelling ; ab initio calculation ; freezing ; nanoscale pores ; quasi-liquid layer ; electron paramagnetic resonance ; potential of mean force ; gas hydrate ; spin labeling ; pre-decomposition pressure ; mW model ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 38
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe chronic health condition that is often misunderstood or ignored by health establishments. The lack of definitive diagnostic markers to separate ME/CFS patients from the healthy population as well as from other chronic disorders is problematic for both health professionals and researchers. A consortium of Australian researchers gathered to systematically understand ME/CFS, ranging from a deep analysis of clinical and pathology data to metabolomic profiles and the investigation of mitochondrial function. From this broad collaboration, a number of compelling insights have arisen that may form the basis of specific serum, blood, and/or urinary biomarkers of ME/CFS. This Special Edition reports on a conference centred on these biomedical discoveries, with other contributions, with a translation focus for predictive markers for ME/CFS diagnosis. By supporting health professionals with developments in diagnostics for this condition, the patients and their families will hopefully benefit from an improved recognition of the biomedical underpinnings of the condition and will be better able to access the care that is urgently required. This Special Edition contains a mix of speaker submissions and other accepted manuscripts that contributed to our objective of advancing biomedical insights to enable the accurate diagnosis of ME/CFS.
    Keywords: R5-920 ; RM1-950 ; fatigue syndrome ; n/a ; work rehabilitation ; tryptophan metabolism ; substrate inhibition ; myalgic encephalomyelitis ; 3-dioxygenase ; ME (Myalgic Encephalomyelitis) ; assessment ; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) ; muscles ; hypoacetylation ; circadian rhythm ; immune system ; chronic ; CFS (Chronic Fatigue Syndrome) ; energy metabolism ; ME/CFS ; immunological ; cytokine ; bistability ; diagnosis ; biomarker ; symptoms ; kynurenine pathway ; inflammation and immunity ; metabolism ; neuro-inflammation ; pathology ; signaling ; exercise ; Epstein Barr virus ; methylhistidine ; hypothalamic–pituitary–adrenal axis ; potential biomarkers ; critical point ; inflammation ; histone deacetylation ; participatory research ; neurology ; neuroimmune ; activin ; mitochondria ; patient-driven questionnaire ; medical retirement ; machine learning ; prognosis ; gut microbiota ; post-exertional malaise ; chronic fatigue syndrome ; mathematical model ; reference intervals ; diagnostic biomarker ; indoleamine-2 ; bic Book Industry Communication::M Medicine
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  • 39
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Urological Cancer 2020 collection contains a set of multidisciplinary contributions to the extraordinary heterogeneity of tumor mechanisms, diagnostic approaches, and therapies of the renal, urinary tract, and prostate cancers, with the intention of offering to interested readers a representative snapshot of the status of urological research.
    Keywords: renal cell carcinoma ; iron ; macrophages ; chelation therapy ; urothelial carcinoma ; transcriptome ; microtubule ; MAP1B ; prognosis ; KLF5 ; androgen receptor ; cell proliferation ; tumorigenesis ; prostate cancer ; precision medicine ; whole genome sequencing ; optical mapping ; therapy ; prostate carcinoma ; prostate mpMRI ; machine learning ; artificial intelligence ; deep learning ; neural network ; angiogenesis ; angiogenic growth factors ; antiangiogenic therapy ; renal tumors ; prevention ; α1-adrenoceptor antagonists ; anoikis ; vascularity ; research model ; oncogenes ; tumor suppressor genes ; MR-guided ; radiotherapy ; MRgRT ; stereotactic ablative radiotherapy ; stereotactic ablative radiation therapy (SABR) ; renal cell cancer ; RCC ; online adaptive ; [68Ga]Ga-PSMA PET/CT ; dual-time point imaging ; delayed imaging ; biphasic imaging ; lesion positivity rate ; CXCL9 ; PD1 ; PD-L1 ; stage T1 NMIBC ; prostatic neoplasms/mortality ; prostatic neoplasms/epidemiology ; SEER Program ; bladder cancer ; transurethral resection ; en-bloc resection ; CPT1A ; fatty acids ; serine ; androgen response ; ROS ; oxidative stress ; DONSON ; Downstream Neighbor of SON ; biomarker ; metastatic spread ; diagnosis ; differential diagnosis ; histopathology ; immunohistochemistry ; stroma signature ; patient-derived xenografts ; 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
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  • 40
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: The present book contains 14 papers published in the Special Issue “Differential Geometry” of the journal Mathematics. They represent a selection of the 30 submissions. This book covers a variety of both classical and modern topics in differential geometry. We mention properties of both rectifying and affine curves, the geometry of hypersurfaces, angles in Minkowski planes, Euclidean submanifolds, differential operators and harmonic forms on Riemannian manifolds, complex manifolds, contact manifolds (in particular, Sasakian and trans-Sasakian manifolds), curvature invariants, and statistical manifolds and their submanifolds (in particular, Hessian manifolds). We wish to mention that among the authors, there are both well-known geometers and young researchers. The authors are from countries with a tradition in differential geometry: Belgium, China, Greece, Japan, Korea, Poland, Romania, Spain, Turkey, and United States of America. Many of these papers were already cited by other researchers in their articles. This book is useful for specialists in differential geometry, operator theory, physics, and information geometry as well as graduate students in mathematics.
    Keywords: QA1-939 ; Q1-390 ; statistical structure ; constant ratio submanifolds ; Euclidean submanifold ; framed helices ; Sasakian statistical manifold ; L2-harmonic forms ; Hodge–Laplacian ; complete connection ; concircular vector field ; cylindrical hypersurface ; k-th generalized Tanaka–Webster connection ; Casorati curvature ; symplectic curves ; generalized 1-type Gauss map ; rectifying submanifold ; manifold with singularity ; ruled surface ; Minkowski plane ; compact complex surfaces ; conjugate connection ; T-submanifolds ; L2-Stokes theorem ; inextensible flow ; shape operator ; generalized normalized ?-Casorati curvature ; Sasakian manifold ; centrodes ; circular helices ; non-flat complex space form ; invariant ; Frenet frame ; Darboux frame ; trans-Sasakian 3-manifold ; singular points ; symplectic curvatures ; Kähler–Einstein metrics ; conjugate symmetric statistical structure ; sectional ?-curvature ; circular rectifying curves ; developable surface ; capacity ; Ricci soliton ; Reeb flow symmetry ; Minkowskian pseudo-angle ; conical surface ; lie derivative ; position vector field ; pinching of the curvatures ; Hessian manifolds ; Minkowskian angle ; Hessian sectional curvature ; Minkowskian length ; lightlike surface ; affine sphere ; concurrent vector field ; slant ; affine hypersurface ; anti-invariant ; statistical manifolds ; Ricci operator ; C-Bochner tensor ; Ricci curvature ; real hypersurface ; scalar curvature ; framed rectifying curves ; bic Book Industry Communication::P Mathematics & science
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  • 41
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Concerns have been raised with respect to the state of high-altitude and high-latitude treelines, as they are anticipated to undergo considerable modifications due to global changes, and especially due to climate warming. As high-elevation treelines are temperature-limited vegetation boundaries, they are considered to be sensitive to climate warming. As a consequence, in this future, warmer environment, an upward migration of treelines is expected because low air and root-zone temperatures constrain their regeneration and growth. Despite the ubiquity of climate warming, treeline advancement is not a worldwide phenomenon: some treelines have been advancing rapidly, others have responded sluggishly or have remained stable. This variation in responses is attributed to the potential interaction of a continuum of site-related factors that may lead to the occurrence of locally conditioned temperature patterns. Competition amongst species and below-ground resources have been suggested as additional factors explaining the variability in the movement of treelines. This Special Issue (book) is dedicated to the discussion of treeline responses to changing environmental conditions in different areas around the globe.
    Keywords: QH301-705.5 ; QK1-989 ; Q1-390 ; n/a ; tree seedling recruitment ; shrubline ; light quality ; higher altitude ; precipitation ; experimental rain exclusion ; Pinus cembra ; Changbai Mountain ; treeline dynamics ; fungal ecology ; thermal continentality ; tree regeneration ; elevational transect ; monitoring ; conifer shrub ; plant water availability ; permafrost ; foehn winds ; treeline ; Holocene ; nitrogen cycling ; carotenoids ; timberline ; 15N natural abundance ; spectrometer ; basal area increment ; palynology ; xylem embolism ; diversity ; elevational treeline ; European Alps ; temperature ; tree line ; winter stress ; photosynthetic pigments ; Pinus sibirica ; westerly winds ; relative air humidity ; ecosystem manipulation ; Larix decidua ; microsite ; polar treeline ; Central Austrian Alps ; Switzerland ; multi-stemmed growth form ; conifers ; forest edge ; history of treeline research ; soil drought ; dendroclimatology ; knowledge engineering ; Rocky Mountains ; apical control ; cloud ; postglacial ; alpine timberline ; space-for-time substitution ; climate change ; expert elicitation ; shoot elongation ; pit aspiration ; climate warming ; climate zone ; alpine treeline ; refilling ; Abies sibirica ; growth trend ; western Montana ; light quantity ; Picea abies ; Mediterranean climate ; forest climatology ; altitude ; environmental stress ; sub-Antarctic ; Erman’s birch ; photoinhibition ; tocopherol ; elevational gradients ; NDVI ; long-term trends ; sap flow ; peat ; tree seedlings ; Southern Ocean ; chlorophyll ; non-structural carbohydrates (NSCs) ; drought ; upward advance ; remote sensing data ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 42
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Forests cover 30% of the Earth’s land area, or nearly four billion hectares. Enhancing the benefits and ecosystem services of forests has been increasingly recognized as an essential part of nature-based solutions for solving many emerging global environmental problems today. A core science supporting forest management is understanding the interactions of forests, water, and people. These interactions have become increasingly complex under climate change and its associated impacts, such as the increases in the intensity and frequency of drought and floods, increasing population and deforestation, and a rise in global demands for multiple ecosystem services including clean water supply and carbon sequestration. Forest watershed managers have recognized that water management is an essential component of forest management. Global environmental change is posing more challenges for managing forests and water toward sustainable development. New science on forest and water is critically needed across the globe. The International Forests and Water Conference 2018, Valdivia, Chile (http://forestsandwater2018.cl/), a joint effort of the 5th IUFRO International Conference on Forests and Water in a Changing Environment and the Second Latin American Conference on Forests and Water provided a unique forum to examine forest and water issues in Latin America under a global context. This book represents a collection of some of the peer-reviewed papers presented at the conference that were published in a Special Issue of Forests.
    Keywords: QH301-705.5 ; Q1-390 ; SD1-669.5 ; social capital ; Cambodia ; forest and water policy ; land use and land cover change ; shrubland ; “Forests to Faucets” ; precipitation gradient ; forest ecosystem management ; afforestation ; connectivity ; land use change ; forest operations ; Chile ; catchment management ; forest plantation ; climate change ; compound wildfire-water risk ; native forest ; hydrology ; wetland ; streamside native buffer ; sustainability ; participatory monitoring ; hydrological modeling ; timber harvesting ; water quality ; native forests ; source water protection ; global change ; forest hydrology ; community drinking-water ; SDGs ; drinking-water security ; Oregon ; forest ; aquatic-riparian ecosystems ; NDC ; heat: moisture index ; watershed management ; load ; Rhyacotriton ; ecohydrology ; nutrient concentrations ; multi-criteria analysis ; Loess Plateau ; dissolved organic matter ; US Pacific Northwest ; soil moisture ; agricultural lands ; water management ; water provision ; water supply ; forests ; post-fire hydrology ; grassland ; forest plantations ; restoration strategy ; riparian buffer zones ; Mekong ; riparian vegetation ; density management harvest ; SWAT model ; forest watersheds ; water governance ; Nenjiang River ; forestry ; ecosystem services ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 43
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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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  • 44
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-04
    Description: An important, open research topic today is to understand the relevance that dark matter halo substructure may have for dark matter searches. In the standard cosmological model, halo substructure or subhalos are predicted to be largely abundant inside larger halos, for example, galaxies such as ours, and are thought to form first and later merge to form larger structures. Dwarf satellite galaxies—the most massive exponents of halo substructure in our own galaxy—are already known to be excellent targets for dark matter searches, and indeed, they are constantly scrutinized by current gamma-ray experiments in the search for dark matter signals. Lighter subhalos not massive enough to have a visible counterpart of stars and gas may be good targets as well, given their typical abundances and distances. In addition, the clumpy distribution of subhalos residing in larger halos may boost the dark matter signals considerably. In an era in which gamma-ray experiments possess, for the first time, the exciting potential to put to test the preferred dark matter particle theories, a profound knowledge of dark matter astrophysical targets and scenarios is mandatory should we aim for accurate predictions of dark matter-induced fluxes for investing significant telescope observing time on selected targets and for deriving robust conclusions from our dark matter search efforts. In this regard, a precise characterization of the statistical and structural properties of subhalos becomes critical. In this Special Issue, we aim to summarize where we stand today on our knowledge of the different aspects of the dark matter halo substructure; to identify what are the remaining big questions, and how we could address these; and, by doing so, to find new avenues for research.
    Keywords: QB1-991 ; Q1-390 ; QC1-999 ; gamma rays ; indirect searches. ; semi-analytic modeling ; cosmological model ; indirect dark matter searches ; particle dark matter ; indirect detection ; gamma-rays and neutrinos ; galactic subhalos ; indirect searches ; statistical data analysis ; subhalo boost ; dark matter halos ; halo substructure ; structure formation ; dark matter annihilation ; dark matter searches ; dwarf spheroidal satellite galaxies ; galactic sub-halos ; subhalos ; dwarf spheroidal galaxies ; gamma-rays ; cosmological N-body simulations ; dark matter ; thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
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  • 45
    Publication Date: 2023-12-20
    Description: Emergent quantum mechanics explores the possibility of an ontology for quantum mechanics. The resurgence of interest in ""deeper-level"" theories for quantum phenomena challenges the standard, textbook interpretation. The book presents expert views that critically evaluate the significance—for 21st century physics—of ontological quantum mechanics, an approach that David Bohm helped pioneer. The possibility of a deterministic quantum theory was first introduced with the original de Broglie-Bohm theory, which has also been developed as Bohmian mechanics. The wide range of perspectives that were contributed to this book on the occasion of David Bohm’s centennial celebration provide ample evidence for the physical consistency of ontological quantum mechanics. The book addresses deeper-level questions such as the following: Is reality intrinsically random or fundamentally interconnected? Is the universe local or nonlocal? Might a radically new conception of reality include a form of quantum causality or quantum ontology? What is the role of the experimenter agent? As the book demonstrates, the advancement of ‘quantum ontology’—as a scientific concept—marks a clear break with classical reality. The search for quantum reality entails unconventional causal structures and non-classical ontology, which can be fully consistent with the known record of quantum observations in the laboratory.
    Keywords: Q1-390 ; QC1-999 ; non-locality ; ultraviolet divergence ; constraints ; Kilmister equation ; bohmian mechanics ; epistemic agent ; Bohmian mechanics ; relational space ; Feynman paths ; Langevin equation ; quantum causality ; emergent quantum gravity ; quantum ontology ; interpretations ; emergent quantum state ; undecidable dynamics ; molecule interference ; emergent quantum mechanics ; no-hidden-variables theorems ; mind–body problem ; physical ontology ; quantum foundations ; matter-wave optics ; conscious agent ; diffusion constant ; Bell theorem ; Burgers equation ; objective non-signaling constraint ; self-referential dynamics ; Bell inequality ; interpretation ; photochemistry ; Born rule statistics ; sub-quantum dynamics ; dynamical chaos ; weak measurement ; p-adic metric ; Levi-Civita connection ; David Bohm ; H-theorem ; the causal arrow of time ; strong coupling ; vortical dynamics ; fundamental irreversibility ; magnetic deflectometry ; quantum thermodynamics ; de Broglie–Bohm interpretation of quantum mechanics ; wavefunction nodes ; stochastic quantum dynamics ; entropic gravity ; metrology ; Schrödinger equation ; gauge freedom ; Monte Carlo simulations ; micro-constituents ; nonequilibrium thermodynamics ; Bell’s theorem ; emergent space-time ; spin ; quantum field theory ; time-symmetry ; Gaussian-like solutions ; Hamiltonian ; number theory ; fractional velocity ; ergodicity ; fractal geometry ; atomic metastable states ; operator thermodynamic functions ; Canonical Presentation ; Retrocausation ; interpretations of quantum mechanics ; Bohm theory ; quantum mechanics ; zero-point field ; conspiracy ; pilot wave ; quantum holism ; toy-models ; curvature tensor ; Aharonov–Bohm effect ; computational irreducibility ; Stochastic Electrodynamics ; diffraction ; retrocausality ; resonances in quantum systems ; stochastic differential equations ; Bianchi identity ; past of the photon ; commutator ; relational interpretation of quantum mechanics ; free will ; nomology ; trajectories ; primitive ontology ; Mach–Zehnder interferometer ; weak values ; singular limit ; interior-boundary condition ; Poincaré recurrence ; quantum inaccessibility ; symplectic camel ; surrealistic trajectories ; observables ; Stern-Gerlach ; decoherence ; quantum non-equilibrium ; generalized Lagrangian paths ; superdeterminism ; black hole thermodynamics ; nonlocality ; measurement problem ; entropy and time evolution ; bouncing oil droplets ; spontaneous state reduction ; quantum theory ; many interacting worlds ; complex entropy. ; Turing incomputability ; iterant ; space-time fluctuations ; quantum potential ; ontological quantum mechanics ; photon trajectory ; Dove prism ; the Friedrichs model ; contextuality ; discrete calculus ; transition probability amplitude ; gravity ; pilot-wave theory ; matter-waves ; de Broglie-Bohm theory ; covariant quantum gravity ; atom-surface scattering ; de Broglie–Bohm theory ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: The book continues with an experimental analysis conducted to obtain accurate and complete information about electric vehicles in different traffic situations and road conditions. For the experimental analysis in this study, three different electric vehicles from the Edinburgh College leasing program were equipped and tracked to obtain over 50 GPS and energy consumption data for short distance journeys in the Edinburgh area and long-range tests between Edinburgh and Bristol. In the following section, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber’s M-estimation is proposed to accurately estimate state of charge (SOC), which is vital for safe operation and efficient management of lithium-ion batteries. A coupled-inductor DC-DC converter with a high voltage gain is proposed in the following section to match the voltage of a fuel cell stack to a DC link bus. Finally, the book presents a review of the different approaches that have been proposed by various authors to mitigate the impact of electric buses and electric taxis on the future smart grid.
    Keywords: Q1-390 ; QC1-999 ; adaptive ; electric vehicle ; state of charge (SOC) ; high voltage gain ; lithium-ion battery ; climate change ; ssustainable transport ; driving cycle ; smart grid ; robust ; battery powered vehicle ; Huber’s M-estimation ; electric taxi ; public transportation ; sustainable development ; DC-DC converter ; square root cubature Kalman filter (SRCKF) ; coupled inductor ; fuel cell vehicles ; charging approaches ; ripple minimization current ; variational Bayesian approximation ; electric propulsion ; electric bus ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 47
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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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  • 48
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Amorphous solid dispersion (ASD) is a powerful formulation technology to improve oral absorption of poorly soluble drugs. Despite their being in existence for more than half a century, controlling ASD performance is still regarded as difficult because of ASD’s natural non-equilibrium. However, recent significant advances in ASD knowledge and technology may enable a much broader use of ASD technology. This Special Issue, which includes 3 reviews and 6 original articles, focuses on recent progresses in ASD technology in hopes of helping to accelerate developmental studies in the pharmaceutical industry. In striving for a deep understanding of ASD non-equilibrium behavior, the Special issue also delves into and makes progress in the theory of soft-matter dynamics.
    Keywords: QH301-705.5 ; Q1-390 ; thermodynamic modeling ; molecular dynamics simulation ; poorly soluble drugs ; amorphous solid dispersions ; dissolution enhancement ; crystallization tendency ; continuous processing ; stability ; milling ; granulation ; thermal analysis ; amorphous ; ball milling ; pharmaceutical glass ; dissolution ; rebamipide ; poloxamer ; classification ; polyelectrolytes ; amorphisation ; self-assembly ; dissolution rate ; miscibility ; bioavailability ; solubility ; evaporation ; mesoporous ; polyelectrolyte excipient matrix ; polymer ; bicaludamide ; phase diagram ; Weibull dissolution model ; spectroscopic techniques ; anticancer drugs ; manufacturing methods ; nucleation ; molecular complex ; nanoaggregates ; enrofloxacin ; accelerated stability test ; solubility enhancement ; amorphous solid dispersion ; tadalafil ; process development ; amorphous polymeric salt ; Wood’s apparatus ; hot melt extrusion ; solid dispersions ; intrinsic dissolution rate ; solid dispersion ; interaction ; crystallization ; spray drying ; characterization ; ciprofloxacin ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 49
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments.
    Keywords: big data applications ; data processing ; data visualization ; neural networks ; reduction ; coastal waters ; urban expansion ; remote sensing and GIS ; expansion types and rates ; major explanatory factors ; Miami metropolitan area ; cliff coastlines ; cliff retreat ; time-series analysis ; airborne laser scanner ; warm upwelling ; sea surface temperature ; numerical modelling ; winter ; southern Baltic Sea ; beach monitoring ; mobile terrestrial LiDAR ; intensity calibration ; beach surface moisture ; Baltic coast ; Poland ; CORINE Land Cover ; land cover flow ; urbanisation ; afforestation ; deforestation ; spatial analysis ; SDGs ; coastal habitats ; ecosystem monitoring ; land cover mapping ; random forest algorithm ; Sentinel-2 ; modified soil-adjusted vegetation index 2–MSAVI2 ; normalized difference water index 2–NDWI2 ; brightness index 2–BI2 ; oil spill ; remote sensing ; review ; machine learning ; deep learning ; trajectory modeling ; vulnerability assessment ; coastal geomorphology ; shoreline change ; coastal process ; monitoring ; geomatic techniques ; Po River Delta ; archival multi-temporal data ; coastline changes ; emerged/submerged surfaces ; land subsidence ; relative sea level rise 2100 ; land cover ; dune coast ; air photograph ; South Baltic Sea ; coastal monitoring ; estuaries ; IoT ; lidar ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 50
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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
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  • 51
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Rivers have been intensively degraded due to increasing anthropogenic impacts from a growing population in a continuously developing world. Accordingly, most rivers suffer from pressures as a result of increasing dam and weir construction, habitat degradation, flow regulation, water pollution/abstraction, and the spread of invasive species. Science-based knowledge regarding solutions to counteract the effects of river degradation, and melding principles of aquatic ecology and engineering hydraulics, is thus urgently needed to guide present and future river restoration actions. This Special Issue gathers a coherent set of studies from different geographic contexts, on fundamental and applied research regarding the integration of ecohydraulics in river restoration, ranging from field studies to laboratory experiments that can be applied to real-world challenges. It contains 13 original papers covering ecohydraulic issues such as river restoration technologies, sustainable hydropower, fish passage designs and operational criteria, and habitat modeling. All papers were reviewed by international experts in ecology, hydraulics, aquatic biology, engineering, geomorphology, and hydrology. The papers herein well represent the wide applicability of ecohydraulics in river restoration and serve as a basis to improve current knowledge and management and to reduce arguments between different interests and opinions.
    Keywords: QH301-705.5 ; Q1-390 ; Fish passage and migration ; Prioritization of river connectivity for sustainable fisheries ; Sustainable hydropower ; Spawning grounds ; Invasive species management ; Environmental flows ; Habitat modeling ; Dam/weir retrofitting and removal ; Riparian and aquatic vegetation dynamics ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 52
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Some of the most beautiful studies in Mathematics are related to Symmetry and Geometry. For this reason, we select here some contributions about such aspects and Discrete Geometry. As we know, Symmetry in a system means invariance of its elements under conditions of transformations. When we consider network structures, symmetry means invariance of adjacency of nodes under the permutations of node set. The graph isomorphism is an equivalence relation on the set of graphs. Therefore, it partitions the class of all graphs into equivalence classes. The underlying idea of isomorphism is that some objects have the same structure if we omit the individual character of their components. A set of graphs isomorphic to each other is denominated as an isomorphism class of graphs. The automorphism of a graph will be an isomorphism from G onto itself. The family of all automorphisms of a graph G is a permutation group.
    Keywords: QA1-939 ; Q1-390 ; split-quaternion ; edge even graceful labeling ; graph automorphisms ; ring ; multi-state system ; Electric multiple unit trains ; join product ; nonlinear ; parameter selection ; Fuzzy sets ; cylinder grid graph ; high-level maintenance planning ; split-octonion ; granularity importance degree ; geometric arithmetic index ; ?-convex set ; partition comparison ; optimization ; automorphism group ; quantum B-algebra ; quotient algebra ; fuzzy normed ring ; graph partitioning ; fuzzy normed ideal ; algorithm ; 600-cell ; transmission regular graph ; emergency routes ; cyclic associative groupoid (CA-groupoid) ; disjoint holes ; quasi-maximal element ; logical conjunction operation ; time window ; three-way decisions ; 2-tuple ; atom-bond connectivity index ; attribute reduction ; orbit matrix ; line graph ; Chebyshev polynomials ; multi-granulation rough intuitionistic fuzzy sets ; group decision making ; cyclic permutation ; normed space ; complexity ; binary polyhedral group ; fuzzy implication ; intuitionistic fuzzy sets ; (generalized) distance matrix ; dodecahedron ; cacti ; isoperimetric number ; quality function deployment ; embedding ; matroid ; chaotic system ; KG-union ; involution AG-group ; triangular norm ; graph clustering ; distance matrix (spectrum) ; filter ; pessimistic (optimistic) multigranulation neutrosophic approximation operators ; maximum ; planar point set ; pseudo-BCI algebra ; neutrosophic rough set ; Abel–Grassmann’s group (AG-group) ; decomposition theorem ; synchronized ; random graph ; strongly regular graph ; regularization ; linear discrete ; operator ; genetic algorithm ; commutative group ; distance signlees Laplacian matrix (spectrum) ; construction methods ; unicyclic ; selective maintenance ; rough set ; edge detection ; co-permanental ; gear graph ; graceful labeling ; rough intuitionistic fuzzy sets ; variant CA-groupoids ; quasi-alternating BCK-algebra ; bicyclic ; hypernear-ring ; multi-granulation ; graph ; crossing number ; pyramid graphs ; q-filter ; icosahedron ; generalized bridge molecular graph ; coefficient ; 0–1 programming model ; polar grid graph ; finite automorphism groups ; engineering characteristics ; edge graceful labeling ; social network ; invariant measures ; convex polygon ; dominance relation ; good drawing ; spectral radius ; logical disjunction operation ; Abel–Grassmann’s groupoid (AG-groupoid) ; metro station ; multitransformation ; particle swarm algorithm ; aggregation operator ; cancellative ; neutrosophic set ; fuzzy logic ; human reliability ; performance evaluation ; complete lattice ; quadratic polynomial ; Detour–Harary index ; Laplacian operation ; fixed point ; graded rough sets ; generalized permanental polynomial ; basic implication algebra ; intersection graph ; bic Book Industry Communication::P Mathematics & science
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  • 53
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Social media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also been utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates. One benefit of using social media platforms to gain insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding the potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls. Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist, developed specifically to aide public health research utilising social media data. In recent years, ethical issues regarding the retrieval and analysis of data have also arisen.
    Keywords: social media ; disordered eating behaviours ; body image ; female ; university students ; telemedicine ; carbon dioxide ; air pollutants ; vehicle emissions ; primary care ; machine learning ; teleconsultation ; remote consultation ; classification ; public health ; short video ; social network ; TAM ; cost analysis ; health technology assessment ; provider-to-provider telemedicine ; telehealth ; economic analysis ; questionnaires and surveys ; validation studies ; health personnel ; electronic nicotine delivery systems ; smoking ; twitter ; poor doctor-patient relationship ; healthcare consultation ; mobile context ; computer-mediated communication ; point-of-care systems ; ultrasonography ; traffic-related pollution ; primary health care ; acceptability of health care ; surveys and questionnaires ; health communication ; Spanish official medical colleges ; stakeholders ; Twitter ; systemic lupus erythematosus (SLE) ; network analysis ; topic modeling ; text analysis ; online media ; vaccination ; social marketing ; stroke ; prehospital emergency care ; training ; stroke code ; large vessel occlusion ; prehospital scales ; hearing loss ; latent topic ; LDA ; social Q&amp ; A ; public voice ; public health emergency ; policy evolution ; product innovation ; cooperative governance ; COVID-19 ; coronavirus ; masks ; transmission ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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  • 54
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
    Keywords: social networks ; health ; young people ; bibliometric study ; scientometrics ; obesity ; interventions ; children ; youths ; pediatrics ; reclaimed water ; advanced oxidation process ; microorganisms ; concern emergent contaminant ; worldwide ; content analysis ; text mining ; diabetes ; QOL ; artificial intelligence ; machine learning ; bibliometric ; LDA ; HIV/AIDS ; quality of life ; global health ; public health ; scientometric study ; knowledge map ; visualization analysis ; CiteSpace ; COPD ; QoL ; medicinal plants ; drugs ; worldwide research ; bibliometrics ; traditional medicine ; asthma ; HRQoL ; Scival ; patents ; Spain ; Research and Development (R&amp ; D) ; social returns ; COVID-19 ; biomechanics ; musculoskeletal disorders ; RULA ; ergonomics ; applications ; climate change ; infectious diseases ; bibliometric analysis ; co-word analysis ; biclustering ; strategic diagram ; academic performance ; citation network ; motivation ; microplastics ; network analysis ; VOSviewer software ; research hotspots ; pulmonary disease ; musculoskeletal risks ; wastewater treatment ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 55
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Accurate solar radiation knowledge and its characterization on the Earth’s surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.
    Keywords: Q1-390 ; QC1-999 ; PAR ; motion vector field ; radiative transfer ; global horizontal irradiance ; evapotranspiration ; HRV ; Kato bands ; understory light condition ; California Delta ; validation ; aerosol impact ; remote sensing ; solar radiation ; nowcasting ; India ; cloud categories ; Clouds and the Earth Radiant Energy System (CERES) ; brightness temperature ; Himawari-8/Advanced Meteorological Imager (Himawari-8/AHI) ; water vapor ; clear sky index ; water resource management ; broadband albedo at the top of the atmosphere (TOA albedo) ; data fusion ; solar energy ; shortwave radiation ; AMESIS ; satellite-derived dataset ; insolation ; solar variability ; subcanopy light regime ; clustering analysis ; solar energy systems ; forest canopy ; radiance ; MSG ; GOES satellites ; radiation model ; solar radiation trends ; clear sky ; downward shortwave radiation ; reflected shortwave radiation at the top of the atmosphere (RSR) ; SEVIRI ; photosynthetically active radiation ; surface solar radiation ; solar irradiance ; earth observation ; high turbidity ; Geostationary Korea Multi-Purse Satellite/Advanced Meteorological Imager (GK-2A/AMI) ; Solis scheme ; solar radiation forecasting ; surface energy balance ; light attenuation ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 56
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
    Keywords: earned value method—EVM ; time variances ; cost variances ; schedule ; cadastre ; land surveyor ; construction surveying ; building layout ; polar coordinates ; stake-out methods ; total station ; construction reports ; construction contracts ; natural language processing ; machine learning ; simulation modeling ; bridge expansion and contraction installation (BECI) ; decision making (DM) ; technical condition assessment ; analytic hierarchy process (AHP) ; whale optimization algorithm ; Tent chaotic mapping ; Lévy flight ; resilience ; baseline schedule ; uncertainty ; taxonomy ; construction project ; PERT ; theory of constraint (TOC) ; drum-buffer-rope (DBR) ; construction schedule ; monitoring progress ; construction phase ; automated monitoring ; digital tools ; as-built ; as-planned ; efficiency ; risk ; randomization ; association analysis ; tabu search ; delay ; time schedules ; project risk ; construction project management ; Time-at-Risk (TaR) ; investment-construction process model ; Monte Carlo simulation ; decision-making process ; decision modelling in construction activities ; decisions in civil engineering ; liquid cooling system ; flow calibration ; differential pressure ; experimental method ; aircraft ; building information modelling (BIM) ; automatisation ; facilities design ; domestic plumbing and sanitation ; management ; project cost ; investment schedule ; risk mitigation ; randomness ; fuzziness ; health and safety control ; 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: 2023-12-20
    Description: This Special Issue gathers papers reporting research on various aspects of remote sensing of Sea Surface Salinity (SSS) and the use of satellite SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as RFI and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS and the assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented.
    Keywords: Q1-390 ; n/a ; satellite salinity ; one-dimensional (1D) aperture synthesis radiometer ; smos ; Gulf of Maine ; retrieval errors ; Aquarius ; combined active/passive SSS retrieval algorithm ; ocean surface roughness ; upwelling ; salt transport ; quality assessment ; sea ice ; SMOS ; microwave radiometry ; Arctic Gateways ; Aquarius satellite ; validation ; sea surface temperature ; water transport ; forward model ; river discharge ; sea surface salinity ; remote sensing ; retrieval algorithm ; Water Cycle Observation Mission (WCOM) ; SMAP ; microwave remote sensing ; alboran sea ; surface velocity ; Arctic Ocean ; sea surface salinity (SSS) ; coastal ; brightness temperature (TB) ; interferometric microwave imager (IMI) ; Scotian Shelf ; MICAP ; different instrument configurations ; bias characteristics ; mediterranean sea ; Gulf of Mexico ; calibration ; retroflections ; Arctic ocean ; salinity ; Sea Surface Salinity ; Arctic rivers ; Argo ; data processing ; aquarius ; ocean salinity ; Aquarius Validation Data System (AVDS) ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This reprint includes contributions from leaders in the field of personalized medicine in ophthalmology. The contributions are diverse and cover pre-clinical and clinical topics. We hope you enjoy reading the articles.
    Keywords: subthreshold micropulse laser ; 577-nm laser ; laser fixed parameters ; diabetic retinopathy ; diabetic macular edema ; optical coherence tomography ; autofluorescence ; real-life ; diabetic macular oedema ; visual prognosis ; indicators ; personalized medicine ; age-related macular degeneration ; choroidal neovascularization ; classification ; machine learning ; type 2 diabetes ; retinopathy ; ethnicity ; general practice ; risk factors ; progression ; glycemic gap ; glucose variability ; ETDRS classification ; biomarkers ; phenotypes ; anti-vascular endothelial growth factor ; diabetic retinopathy severity scale ; panretinal leakage index ; neovascular age-related macular degeneration ; anti-VEGF therapy ; retinal thickness ; visual acuity ; variability ; leakage index ; microaneurysms ; intravitreal aflibercept ; neovascularization ; ultra-widefield fluorescein angiography ; retinal imaging ; quantitative biomarkers ; precision medicine ; autoantibodies ; AT1-receptor ; PAR1 ; VEGF-A ; VEGF-B ; VEGF-receptor 2 ; AMD ; complement system ; semi-quantitative multiplex profilin ; mass spectrometry ; C4 ; vitronectin ; factor I ; genetic variants ; metabolites ; HDL ; central area thickness ; biomarker ; microRNA ; anti-VEGF ; retina ; edema ; OCT ; tomography ; microphysiological systems ; blood-neural barriers ; neurovascular unit ; disease modeling ; 3D models ; organ-on-a-chip ; inner blood-retinal barrier ; 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: 2022-01-31
    Description: A plethora of problems from diverse disciplines such as Mathematics, Mathematical: Biology, Chemistry, Economics, Physics, Scientific Computing and also Engineering can be formulated as an equation defined in abstract spaces using Mathematical Modelling. The solutions of these equations can be found in closed form only in special case. That is why researchers and practitioners utilize iterative procedures from which a sequence is being generated approximating the solution under some conditions on the initial data. This type of research is considered most interesting and challenging. This is our motivation for the introduction of this special issue on Iterative Procedures.
    Keywords: QA1-939 ; Q1-390 ; Lipschitz condition ; order of convergence ; Scalar equations ; local and semilocal convergence ; multiple roots ; Nondifferentiable operator ; optimal iterative methods ; Order of convergence ; convergence order ; fast algorithms ; iterative method ; computational convergence order ; generalized mixed equilibrium problem ; nonlinear equations ; systems of nonlinear equations ; Chebyshev’s iterative method ; local convergence ; iterative methods ; divided difference ; Multiple roots ; semi-local convergence ; scalar equations ; left Bregman asymptotically nonexpansive mapping ; basin of attraction ; maximal monotone operator ; Newton–HSS method ; general means ; Steffensen’s method ; derivative-free method ; simple roots ; fixed point problem ; split variational inclusion problem ; weighted-Newton method ; ball radius of convergence ; Traub–Steffensen method ; Newton’s method ; fractional derivative ; Banach space ; multiple-root solvers ; uniformly convex and uniformly smooth Banach space ; Fréchet-derivative ; optimal convergence ; Optimal iterative methods ; basins of attraction ; nonlinear equation
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Rapid establishment of seedlings in forest regeneration or afforestation sites after planting is a prerequisite for a successful reforestation. Seedling survival after outplanting can be improved by using high-quality seedling material. Seedling quality consists of several features, such as genetic source, morphological properties, nutritional status, stress resistance, and vitality of the seedlings. Field performance of the seedlings is a complex process which can be affected by many nursery and silvicultural practices. Nursery cultural practices strongly affect seedling quality, which is generally at its highest level during the growth period at the nursery. Afterwards, when the seedlings are transported from the nursery to the planting site (including seedling storage, handling, shipping, and planting practices), the quality of seedlings can only remain the same or decline. To ensure successful regeneration, it is important to produce seedlings that retain their high quality until planting, and to establish them quickly in the forest regeneration site.
    Keywords: Q1-390 ; container parameters ; forest regeneration material ; physiological attributes ; somatic embryogenesis ; Quercus rubra ; antioxidant enzymes ; nursery production ; shortleaf pine ; historical perspective ; maturation ; Appalachia ; bulk density ; Quercus robur L. ; rabbit ; western larch ; Picea abies L. Karst. ; sessile oak ; climate change ; physiological quality ; nursery culture ; Fennoscandia ; pedunculate oak ; elk ; seeds ; survival ; small mammal ; loblolly pine ; Norway spruce ; white oak ; growing media ; germination ; morphological attributes ; embling production ; mechanization ; browse ; contractor ; field performance ; reforestation ; white-tailed deer ; forest biotechnology ; cultural practice ; hybridization ; nutrients ; silviculture ; black locust ; scarification index ; seedling quality ; tree planting machine ; seed size ; herbicide ; artificial regeneration ; restoration ecology ; porosity ; northern red oak ; cryopreservation ; leaf senescence ; tree seedling ; Douglas fir ; Quercus ; growth ; mine reclamation ; forestry ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 61
    Publication Date: 2024-04-05
    Description: Ranaviruses and other viruses within the family Iridoviridae, infect a wide range of ecologically and commercially important ectothermic vertebrates, i.e., bony fish, amphibians, and reptiles, and invertebrates, including agricultural and medical pests and cultured shrimp and crayfish, and are responsible for considerable morbidity and mortality. Understanding the impact of these various agents on diverse host species requires the combined efforts of ecologists, veterinarians, pathologists, comparative immunologists and molecular virologists. Unfortunately, investigators involved in these studies often work in discipline-specific silos that preclude interaction with others whose insights and approaches are required to comprehensively address problems related to ranavirus/iridovirus disease. Our intent here is to breakdown these silos and provide a forum where diverse researchers with a common interest in ranavirus/iridovirus biology can profitably interact. As a colleague once quipped, “Three people make a genius.” We are hoping to do something along those lines by presenting a collection of research articles dealing with issues of anti-viral immunity, identification of a potentially novel viral genus exemplified by erythrocytic necrosis virus, viral inhibition of innate immunity, identification of novel hosts for lymphocystivirus and invertebrate iridoviruses, and modelling studies of ranavirus transmission. Collectively these and others will exemplify the breadth of ongoing studies focused on this virus family.
    Keywords: QH301-705.5 ; Q1-390 ; risk assessment ; n/a ; CQIV ; mathematical models ; amphibian ; iridovirus ; ISDL ; Exopalaemon carinicauda ; viral load ; virus isolation ; European chub ; outbreak ; Unconventional T cell ; early detection ; susceptible species ; viral immune evasion ; DNA virus ; Rana grylio virus ; antibody ; intracellular localization ; Rana grylio virus (RGV) ; British Columbia ; Iridoviridae ; Andrias davidianus ranavirus ; viral infection ; susceptible-infected (SI) models ; yeast two-hybrid (Y2H) ; prevalence ; host-pathogen interactions ; Pacific herring ; Procambarus clarkii ; Bayesian inference ; eDNA ; amphibians ; Artemia spp. ; ranavirosis ; cross-species transmission ; FV3 ; SHIV ; Gryllus bimaculatus ; Pacific salmon ; NF-?B ; cricket ; IIV-6 ; virus binding ; erythrocytic necrosis virus (ENV) ; envelope protein ; iridovirus core proteins ; emerging infection ; host ; Ranavirus ; white head ; Rana temporaria ; Imd ; biosecurity ; antiviral immunity ; Decapodiridovirus ; endemic disease ; Macrobrachium rosenbergii ; co-immunoprecipitation (Co-IP) ; Common frog ; aquatic animals ; virus surveillance ; immunomodulators ; frog virus 3 ; ELISA ; DIV1 ; megalocytivirus ; Lymphocystis disease virus ; bearded dragon ; susceptibility ; protein interaction ; Pogona vitticeps ; viral erythrocytic necrosis (VEN) ; histopathology ; epidemiology ; native-fish conservation ; viral transmission ; Sparus aurata ; immunohistochemistry ; lizard ; disease dynamics ; immunofluorescence ; transmission modelling ; Macrobrachium nipponense ; interferon ; nonclassical MHC ; heparan sulfate ; ranavirus ; Mexico ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: One last comment concerns the fundamental contributions of Fourier analysis to quantum physics: Quantum mechanics and quantum field theory.
    Keywords: Q1-390 ; self-electrorefining ; hedyphane group ; structural combinatorics ; CuFe2O4 ; Kamchatka ; Raman ; El Dragón ; apatite supergroup ; borate ; ariegilatite ; oyonite ; Tuscany ; gahnite ; magnesioferrite ; Szklary pegmatite ; aurihydrargyrumite ; Au6Hg5 phase ; Trentino ; Peru ; Germany ; cerromojonite ; sulfosalt ; pyrometamorphism ; Bellerberg volcano ; manganese ; gold ; spinel supergroup ; selenium ; CuAl2O4 ; clinokurchatovite ; sharyginite ; Poland ; copper ; kurchatovite ; copper oxide ; antimony ; nabimusaite group ; laachite ; lead ; thermaerogenite ; intercalated hexagonal antiperovskite ; placer ; Lower Silesia ; Eldfell ; Tolbachik volcano ; structural complexity ; nöggerathite-(Ce) ; Val di Fiemme ; Oyon district ; sanidinite ; cuprospinel ; sulfate ; fumarole sublimate ; Cretaio ; polymorphism ; polytypism ; tiberiobardiite ; fiemmeite ; stacking faults ; CO3-group ; Hatrurim Complex ; least-action principle ; phosphorus ; Laacher See ; new oxalate mineral ; Japan ; verneite ; alkaline volcanic rock ; arsenic ; Raman spectroscopy ; single-crystal investigation ; Rusinovite ; Eifel ; Lima department ; Italy ; barioferrite ; configurational entropy ; Hekla ; mercury ; Bolivia ; parafiniukite ; aluminofluoride ; new mineral ; Shadil-Khokh volcano ; Vesuvius ; bournonite group ; Ehime ; calcium ; lillianite homologous series ; chalcophyllite group ; sou?ekite ; silicate ; pyrometamorphic rocks ; crystal structure ; zirconolite ; bismuth ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The need for energy is increasing and at the same time production from the conventional reservoirs is declining quickly. This requires an economically and technically feasible source of energy for the coming years. Among some alternative future energy solutions the most approachable source is from unconventional reservoirs. As the name “unconventional” implies it requires different and challenging approach to characterize and to develop such a resource. This special issue covers some of the technical challenges for developing unconventional energy sources from shale gas/oil, tight gas sand, and coalbed methane.
    Keywords: bedding fractures ; failure criterion ; lamina ; tight oil ; tight sandstone ; finite element simulation ; numerical simulation ; unconventional reservoir ; permeability ; group method of data handling ; artificial neural network ; well logs ; sensitivity analysis ; tight gas reservoir ; multi-fractured horizontal well (MFHW) ; unstable productivity model ; productivity forecast ; influencing factor analysis ; horizontal well with multiple finite-conductivity fractures ; elliptical-shaped drainage ; productivity index ; non-Darcy flow ; pressure-dependent conductivity ; reservoir properties ; void space structure ; porosity ; complex rocks ; NMR ; MICP ; CT ; SEM ; coal-bearing tight sandstone ; organic-rich clasts ; occurrence ; classifications ; formation mechanisms ; Ordos Basin ; hydraulic fracturing ; fracturing fluids ; fluids-rock interaction ; environmental implication ; history matching ; semianalytic model ; unconventional gas reservoirs ; multistage fractured horizontal wells ; fractal theory ; pore structure ; heterogeneity ; NMR measurements ; multifractal analysis ; shale reservoir ; elastic properties ; brittleness ; rock physics ; brittle spot identification ; shale gas ; reservoir characteristics ; gas content ; eastern Sichuan Basin ; the Da’anzhai member ; pulse decay method ; gas adsorption ; dual media ; unconventional core ; natural fracture ; influencing factor ; oil production ; carbonate rock ; basement reservoir ; Jizhong Sub-basin ; dynamic pore network modeling ; shale reservoirs ; water imbibition ; discrete element method ; modified fluid-mechanical coupling algorithm ; injection sequence ; well spacing ; stress shadow effect ; seismic location ; microseismic events ; waveform stacking ; induced seismicity ; CBM ; surfactant ; solid-free drilling fluid ; CBM reservoir wettability ; machine learning ; lithofacies ; umiat ; Alaska ; proppant transportation ; cross fractures ; CFD simulation ; dimensional analysis ; equilibrium proppant height ; coalbed methane ; Lattice Boltzmann method ; gas diffusion ; adsorption–desorption ; pore-scale ; clay minerals ; pore structures ; tight gas reservoirs ; Xujiaweizi Rift ; Northern Songliao Basin ; methane adsorption isotherm ; coal properties ; gradient boosting decision tree ; estimation model ; shale gas reservoir ; geology ; Gibbs excess adsorption ; supercritical adsorption ; gas viscosity ; high voltage spark discharge ; electrohydraulic effect ; electrical conductivity ; drilling ; rock damage ; pressure waves ; water fracturing ; turbulence effect ; Eulerian multiphase modeling ; proppant transport mechanism ; equilibrium height prediction model ; adaptive filtering ; complex noise canceling ; electromagnetic telemetry ; multifractured horizontal wells ; production analysis ; irregular stimulated region ; natural gas hydrate ; seismic modeling ; fractional derivatives ; gas geochemical characteristics ; noble gas ; shale gas evolution ; Large Igneous Province (LIP) ; gas loss ; geological structure ; gas controlling pattern ; neutral surface ; tectonic movement ; Bumu region ; seismic interpretation ; depositional environments characteristics ; Wheeler diagram ; seismic attributes ; heterogeneous sequence ; sample size ; neutron scattering ; mercury injection capillary pressure ; adsorption ; shale ; junggar basin ; hong-che fault zone ; carboniferous ; volcanic reservoir ; main controlling factors of hydrocarbon accumulation ; fracture ; vug ; micro CT ; carbonate ; wave velocity ; amorphous SiO2 ; X-ray diffraction ; X-ray fluorescence spectrometry ; scanning electron microscope ; quantitative analysis ; void ratio ; FEM ; ABAQUS ; matrix porosity ; kerogen porosity ; water saturation ; gas hydrate ; saturation ; deep learning ; recurrent neural network ; molecular simulation ; enhanced oil recovery ; methane ; shale petroleum ; technological development ; patent ; network analysis ; imbibition ; osmosis ; unconventional formations ; EOR ; water flooding ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This Special Issue (SI) on “Land Degradation Assessment with Earth Observation” comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps—some of which have been identified in this SI—and produce highly accurate and relevant land-degradation assessment and monitoring tools.
    Keywords: bfast ; Mann–Kendall ; Sen’s slope ; East Africa ; NDVI ; breakpoint analysis ; vegetation trends ; greening ; browning ; Kenya ; Uganda ; trend analysis ; land use ; land cover ; spatial heterogeneity ; mining development ; geographically weighted regression (GWR) ; Mann-Kendall ; arid and semi-arid areas ; salinization ; irrigated systems ; Niger River basin ; salinity index ; vegetation index ; TI-NDVI ; Sentinel-2 images ; high temporal resolution ; wind erosion modeling ; RWEQ ; GEE ; central Asia ; spatial-temporal variation ; land degradation ; archetypes ; self-organizing maps ; drivers ; savannah ; Nigeria ; reference levels ; REDD+ ; greenhouse gas emissions ; Xishuangbanna ; monitoring and reporting ; Normalised Difference Vegetation Index (NDVI) ; Vegetation Condition Index (VCI) ; drought ; land use-land cover ; remote sensing ; Botswana ; developing countries ; Google Earth Engine ; Landsat time series analysis ; semi-arid areas ; sustainable land management programmes ; precipitation ; breakpoints and timeseries analysis ; ecosystem structural change ; BFAST ; land degradation neutrality ; SDG ; land productivity ; Landsat ; vegetation-precipitation relationship ; soil organic carbon ; Kobresia pygmaea community ; unmanned aerial vehicle ; Gaofen satellite ; spatial distribution ; aridity index ; satellite-based aridity index ; remote sensing index ; salinized land degradation index (SDI) ; Amu Darya delta (ADD) ; satellite imagery ; gully mapping ; machine learning ; random forest ; support vector machines ; South Africa ; semi-arid environment ; shrub encroachment ; slangbos ; Earth observation ; time series ; Sentinel-1 ; Sentinel-2 ; Synthetic Aperture Radar (SAR) ; Soil Adjusted Vegetation Index (SAVI) ; Kyrgyzstan ; pastures ; MODIS ; land surface phenology ; drought impacts ; drought adaptation ; drought index ; vegetation resilience ; drought vulnerability ; standardized precipitation evapotranspiration index ; AVHRR ; 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: 2022-02-01
    Description: Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
    Keywords: machine learning ; random forest ; particle swarm optimization ; Vietnam ; Seepage ; Earth-fill dam ; Experimental analysis ; Numerical analysis ; SEEP/W model ; Dam safety and sustainability ; highway construction ; environmental protection ; soil loss ; erosion control ; risk ; hazard ; vulnerability ; landslides ; multicriteria assessment ; analytical hierarchy process ; calcium sulfoaluminate cement ; stabilized soil ; unconfined compressive strength ; hydration products ; microstructure ; sustainability ; geosynthetics ; poly(lactic acid) ; biopolymers ; geogrids ; tensile strength ; 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: 2022-02-01
    Description: This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of testing of different materials and elements in civil engineering, from building materials to building structures. The current trend in the development of testing of materials and elements in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
    Keywords: rock bolt ; grouting quality ; dynamic response ; natural frequency ; finite element method ; monitoring ; historical masonry wall ; hygrothermal processes ; internal insulation ; testing of building materials ; test uncertainty ; validation of test methods ; sustainable test methods ; recycling ; foamed asphalt mixtures with cement (FAC) ; base layer ; reclaimed asphalt pavement (RAP) ; fatigue durability ; GFRP ; FRP reinforcement ; shear ; capacity ; reinforced concrete beams ; column ; stiffness ; FRCM ; PBO mesh ; PBO–FRCM ; carpentry joints ; scarf and splice joints ; stop-splayed scarf joints (‘bolt of lightning’) ; static behaviour ; experimental research ; concrete ; non-destructive testing ; ultrasounds ; ultrasonic tomography ; acoustic methods ; defects ; diagnostic ; detection ; convolutional neural networks ; transfer learning ; monitoring FBG ; power transmission tower ; civil engineering ; X-ray microtomography ; microstructure characteristics ; infiltration damage ; high-strength concrete ; steel fibres ; flexural tensile strength ; fracture energy ; numerical analysis ; concrete floors ; compressive strength ; strength distribution ; industrial floors ; ultrasound tests ; ventilated facades ; large-scale facade model ; fire safety ; fiber cement board ; large-slab ceramic tile ; plasterboards ; moisture content ; hydration processes ; mechanical properties ; ultrasound measurements ; ESD resin ; expansion joint ; quasi-plastic material ; energy absorption ; asphalt mix ; compaction index ; volumetric parameters ; stiffness modulus ; moisture resistance ; roughness ; texture ; close-range photogrammetry ; bond strength ; random field generation ; semivariograms ; hybrid truss bridge ; steel–concrete connection joint ; mechanical behavior ; failure mode ; strain ; static test ; static elastic modulus ; dynamic elastic modulus ; machine learning ; P-wave ; S-wave ; resonance frequency test ; nondestructive method ; Al–Ti laminate ; fracture ; acoustic emission diagnostic ; pattern recognition ; clustering AE signal ; storage systems ; tab connector ; flexural test ; capable design moment ; restrained ring test ; autogenous shrinkage cracking ; concrete cracking test ; concrete shrinkage cracking test ; restrined ring calibration ; cement–fiber boards ; acoustic emission method ; k-means algorithm ; wavelet analysis ; fiber composites ; ground penetrating radar (GPR) ; HMA dielectric constant ; road pavement thickness estimation ; early age concrete ; damage processes detection before loading ; strength of structures ; aggregate ; classification ; wire mesh ; roundness ; tilting angle ; opening size ; concrete centrifugation ; morphology ; image processing ; porosity ; cement ; waste paper sludge ash (WPSA) ; controlled low-strength material (CLSM) ; unconfined compressive strength ; bearing capacity ; backfill material ; P-wave velocity ; amplitude attenuation ; resistivity ; CT scan ; sandstone ; damage variable ; nuclear magnetic resonance ; spin-lattice relaxometry ; proton ; hydration kinetics ; superplasticizer ; ready-mixed concrete ; construction material ; quality assessment ; conformity criteria ; statistical-fuzzy method ; FRTP ; rivet ; connection ; polyethylene pipe ; mechanical properties of polyethylene ; resistance strain ; computer simulation ; residual shear stress ; particle crushing ; ring shear test ; particle flow code (PFC2D) ; frictional work ; fibre-reinforced concrete ; recycled steel fibres ; micro-computed tomography ; scanning electron microscopy ; tensile strength ; reinforced concrete ; diagnostic testing ; corrosion ; carbonation ; galvanostatic pulse method ; phase composition analysis ; X-ray analysis ; thermal analysis ; quasi-brittle cement composites ; low-module polypropylene fibres ; elastic range ; digital image correlation ; Arcan shear test ; wood ; orthotropic shear modulus ; elastic-plastic material ; shear wave velocity ; sand ; bender elements test ; grain-size characteristics ; complex modulus ; shrinkage analysis ; reclaimed asphalt ; mineral–cement emulsion mixtures ; cement dusty by-products (UCPPs) ; degradation of glass panels ; effective area ratio ; relative mass loss ; visible light transmittance ; windblown sand ; wood-plastic composites ; methods of testing resistance to fungi ; methods of assessment ; ground-penetrating radar (GPR) ; non-destructive techniques (NDT) ; corrosion of reinforcement ; slip resistance ; granite floor ; slip resistance value ; ramp test ; acceptance angle ; sliding friction coefficient ; comparability of test methods ; wall temperature ; fibre bragg grating sensors ; freeze-thaw cycles ; signal analysis ; short-time Fourier transform ; fast Fourier transform ; brine ; sodium chloride ; X-ray ; partition walls ; brick walls ; bending strength ; cracking ; post-tension ; cable ; girder ; destructive test ; non-destructive test ; structural health monitoring ; safety ; monitoring fibre Bragg grating ; mining areas ; strain/stress distribution ; geopolymer concrete ; fly-ash ; bottom-ash ; neural network ; sustainability ; industrial waste management ; flexural strength ; cladding ; AE acoustic emission ; micro-events ; sound spectrum ; traditional and quasi-brittle cement composites ; residual-state creep ; saturation front ; landslides ; erosional stability ; laboratory testing ; grout mixtures ; groundwater ; test apparatus ; testing ; building materials ; elements ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Afforestation/reforestation (or forestation) has been implemented worldwide as an effective measure towards sustainable ecosystem services and addresses global environmental problems such as climate change. The conversion of grasslands, croplands, shrublands, or bare lands to forests can dramatically alter forest water, energy, and carbon cycles and, thus, ecosystem services (e.g., carbon sequestration, soil erosion control, and water quality improvement). Large-scale afforestation/reforestation is typically driven by policies and, in turn, can also have substantial socioeconomic impacts. To enable success, forestation endeavors require novel approaches that involve a series of complex processes and interdisciplinary sciences. For example, exotic or fast-growing tree species are often used to improve soil conditions of degraded lands or maximize productivity, and it often takes a long time to understand and quantify the consequences of such practices at watershed or regional scales. Maintaining the sustainability of man-made forests is becoming increasingly challenging under a changing environment and disturbance regime changes such as wildland fires, urbanization, drought, air pollution, climate change, and socioeconomic change. Therefore, this Special Issue focuses on case studies of the drivers, dynamics, and impacts of afforestation/reforestation at regional, national, or global scales. These new studies provide an update on the scientific advances related to forestation. This information is urgently needed by land managers and policy makers to better manage forest resources in today’s rapidly changing environments.
    Keywords: QH301-705.5 ; Q1-390 ; SD1-669.5 ; simulation modeling ; shear strength ; stand structure ; vegetation restoration ; surface runoff ; soil and water conservation function ; soil enzymes ; riverbank ; evapotranspiration ; human activity ; afforestation ; Artemisia ordosica ; forest cover ; precipitation variation ; soil bioengineering ; base flow ; Poyang Lake Basin ; in situ calibration ; quantification ; chlorophyll fluorescence ; photoprotection ; remote sensing ; root distribution ; ecosystem model ; CASA ; afforestation ecosystem ; phenophase ; vegetation cover change ; soil characteristics ; Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations ; composted pine bark ; water-energy balance ; sediment load ; soil respiration ; energy partitioning ; soil microbial biomass ; transpiration ; net primary productivity ; spatio-temporal scales ; seedling quality ; peat moss ; fresh pine sawdust ; understory plants ; ring-porous trees ; different climatic conditions ; dye tests ; structural equation model ; Loess Plateau ; evapotranspiration (ET) ; Pinus engelmannii Carr. ; empirical statistics ; heat dissipation probes ; MODIS ; slope change ratio of cumulative quantities (SCRCQ) ; soil water balance ; LAI ; climate fluctuation ; BTOPMC model ; living brush mattress ; vegetation greening ; streamflow ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Keywords: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; 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: 2023-04-05
    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: 2023-12-20
    Description: In the last decades, inedible lignocellulosic biomasses have attracted significant attention for being abundant resources that are not in competition with agricultural land or food production and, therefore, can be used as starting renewable material for the production of a wide variety of platform chemicals. The three main components of lignocellulosic biomasses are cellulose, hemicellulose and lignin, complex biopolymers that can be converted into a pool of platform molecules including sugars, polyols, alchols, ketons, ethers, acids and aromatics. Various technologies have been explored for their one-pot conversion into chemicals, fuels and materials. However, in order to develop new catalytic processes for the selective production of desired products, a complete understanding of the molecular aspects of the basic chemistry and reactivity of biomass derived molecules is still crucial. This Special Issue reports on recent progress and advances in the catalytic valorization of cellulose, hemicellulose and lignin model molecules promoted by novel heterogeneous systems for the production of energy, fuels and chemicals.
    Keywords: Q1-390 ; QC1-999 ; n/a ; hemicellulose ; catalytic transfer hydrogenolysis reactions ; furfural ; ZSM-5 ; syngas ; renewable aromatics ; Diels–Alder ; lignin ; hydroisomerization ; levulinic acid ; bio-oil upgrade ; metal ferrites ; aromatic ethers ; hierarchical zeolites ; Chilean natural zeolites ; bioethanol ; renewable p-xylene ; desilication ; dimethylfuran ; GC/MS characterization ; biomass ; H-donor molecules ; heterogeneous catalysis ; polyols ; Brønsted acids sites ; spinels ; solketal ; glycerol ; chemical-loop reforming ; zeolite ; cellulose ; insulating oils ; hydrogenolysis ; lignocellulosic biomasses ; bio-insulating oil ; glycidol ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Witnessing the rise of nationalism, nativism, and xenophobia in many countries, theories of transculturalism arose, in part, out of the concern that multi- and intercultural identity models have not set themselves sufficiently apart from their own culturalist baggage, thus leaving their doors open to strong nationalistic and ethnocentric orientations. But how can we—how can literature—imagine transcultural communities? This volume attempts to examine whether transculturalism—with its questioning of the dominance of group identity and its return to the individual as a privileged site for cultural multiplicity—can offer guideposts for conceptualizing ‘individual’ diversity without underplaying the role of class, religion, and community. Several contributions to the volume view some of the ‘cosmopolitan’ genealogies of transculturalism cautiously, such as elitist individualism and utopianism, teleologically structured conceptualizations of humanism, and an indiscriminating belief in the ascendency of human universals. Nevertheless, highlighting particular understandings of transculturalism in interpretations of significant literary texts from the Middle Ages to the 21st century amounts, once again and by no small measure, to a political decision—one that historically has often been prompted by a search for commonalities as a basis for the design of universal human rights, international law, transnational structures, and global education.
    Keywords: Q1-390 ; Transculturalism ; Commonality ; Transnationalism ; Cultural Memory ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; 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::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
    Keywords: Direct Normal Irradiance (DNI) ; IFS/ECMWF ; forecast ; evaluation ; DNI attenuation Index (DAI) ; bias correction ; nowcast ; meteorological radar data ; optical flow ; deep learning ; Bates–Granger weights ; uniform weights ; (REG) ARIMA ; ETS ; Hodrick–Prescott trend ; Google Trends indices ; Himalayan region ; streamflow forecast verification ; persistence ; snow-fed rivers ; intermittent rivers ; costumer relation management ; business to business sales prediction ; machine learning ; predictive modeling ; microsoft azure machine-learning service ; travel time forecasting ; time series ; bus service ; transit systems ; sustainable urban mobility plan ; bus travel time ; learning curve ; forecasting ; production cost ; cost estimating ; semi-empirical model ; logistic map ; COVID-19 ; SARS-CoV-2 ; PV output power estimation ; PV-load decoupling ; behind-the-meter PV ; baseline prediction ; 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: 2022-01-31
    Description: The book entitled Medicinal Plants and Natural Product Research describes various aspects of ethnopharmacological uses of medicinal plants; extraction, isolation, and identification of bioactive compounds from medicinal plants; various aspects of biological activity such as antioxidant, antimicrobial, anticancer, immunomodulatory activity, etc., as well as characterization of plant secondary metabolites as active substances from medicinal plants.
    Keywords: SB1-1110 ; QH301-705.5 ; Q1-390 ; adaptation ; phytochemicals ; antioxidant activity ; Ophiopogon ; secondary metabolites ; Moringa oleifera ; drug discovery ; high-resolution melt curve (HRM) analysis ; catechin ; validation ; sickle cell anemia ; Terminalia macroptera ; Eastern Himalayas ; antioxidant ; P. niruri ; traditional medicine ; DNA barcoding ; allergy ; ?-glucosidase ; ethnobotany ; bioprospecting ; GC-MS ; TQ-ESI-MS ; processing ; mountain plants ; ethnobotanic ; antimicrobial ; activity ; Amazonian ; rbcL ; inflammation ; Pseudomonas aeruginosa ; Nirgundi ; cluster analysis ; plant-food ; ethnopharmacology ; HPLC ; Ficus hirta ; Immulina® ; mechanism of action ; stingless bees ; Brunfelsia ; health ; sesquiterpenoids ; antimicrobial activity ; Moraceae ; Liriope ; NMR ; plant metabolite ; UPLC ; oxidative stress ; antibacterial ; scavenger ; mast cells ; Malian medicinal plants ; essential oil ; Arbutus unedo L. ; Ecuador ; DPPH ; ayahuasca ; Asphodelus ; aerial parts ; antifungal ; saline habitats ; chaste tree ; nutraceuticals ; P. alliaceae ; immunLoges® ; bioproduct ; S. reticulata ; Biophytum umbraculum ; flavonoids ; scopoletin ; carboline alkaloids ; Chrysanthemum coronarium L. ; traditional knowledge ; antioxidants ; anthracene derivatives ; Tetragonula ; caffeoylquinic acids ; BHT ; Eucalyptus ; natural products ; Lannea velutina ; antibiotic resistance ; mass spectrometry ; free radical ; medicinal plants ; cytotoxicity ; skin diseases ; harvest ; proanthocyanidins ; different solvents ; ethnomedicine ; Burkea africana ; basil varieties
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: The major histocompatibility complex (MHC) is a highly polymorphic and diverse multigene locus in all jawed vertebrate species that has an integral role in adaptive/innate immune systems, transplantation, and infectious and autoimmune diseases. The MHC supra-locus in mammalian vertebrates is usually partitioned into three distinct regions, known as classes I, II, and III, which, to varying extents, can be found conserved in nonmammalian jawed vertebrates, such as bony fish, amphibians, and bird lineages. The MHC gene region is characterized particularly by the expression of class I and class II glycoproteins that bind peptides derived from intracellular or extracellular antigens to circulating T-cells. While this expressed antigenic specificity remains the predominant interest with respect to MHC function and polymorphism in a population, a broader concept has emerged that examines the MHC as a multifunctional polymorphic controller that facilitates and regulates genome diversity with a much greater array of functions and effects than just MHC-restricted antigen recognition. This volume of 19 reprints presented by various experts and collected from the Special Issue of Cells on “MHC in Health and Disease” covers a broad range of topics on the genomic diversity of the MHC regulatory system in various vertebrate species, including MHC class I, II, and III genes; innate and adaptive immunity; neurology; transplantation; haplotypes; infectious and autoimmune diseases; fecundity; conservation; allelic lineages; and evolution. Taken together, these articles demonstrate the immense complexity and diversity of the MHC structure and function within and between different vertebrate species.
    Keywords: QH301-705.5 ; Q1-390 ; HCP5 ; n/a ; camels ; MHC ; STK19 ; major histocompatibility complex ; human papillomavirus (HPV) ; T-cell receptor ; T1DGC ; bottleneck ; micro-mini-pigs ; life history ; computational analysis ; hepatocellular carcinoma ; phase ; Bactrian camel ; NSDK ; melanoma ; antigen ; autoimmune disease ; RD ; selection ; disease resistance ; autoimmunity ; ancestral haplotype ; Ski complex ; DXO ; high-throughput sequencing ; conservation genetics ; SVA ; lncRNA ; ankylosing spondylitis ; MHC genes ; viral peptides ; competing endogenous RNA (ceRNA) ; astrogliosis ; birds ; long-fragment super haplotype ; SNP ; RLR ; HLA polymorphism ; 5??3? RNA decay ; expression ; 3??5? mRNA turnover ; orthology ; long-read sequencing ; disease association ; dromedary ; polyomavirus ; MHC-II-associated sperm-egg recognition ; experimental medicine ; single nucleotide polymorphism (SNP) ; fish ; SKIV2L ; production trait ; molecular dynamics simulation ; Macaca fascicularis ; human endogenous retrovirus (HERV) ; concerted evolution ; polymorphism ; Old World camels ; MHC polymorphism ; protocol ; nonclassical ; gene duplication ; microglial reaction ; human leukocyte antigen-E ; SKI2W ; quantitative trait loci (QTL) studies ; antiviral immunity ; human immunodeficiency virus (HIV) ; founder effect ; giant panda ; domain movements ; BK virus ; promoter-proximal transcriptional pause ; type 1 diabetes (T1D) ; RP1 ; miR1236 ; KIR ; synaptic covering ; swine leukocyte antigen ; cynomolgus macaque ; HLA ; kidney transplantation ; ?2m knockout mice ; DOM3Z ; interferon ? ; ethnic populations in China ; ecology ; KIR–HLA pairs ; exosomes ; major histocompatibility complex (MHC) ; MHC-I-based mother-fetus recognition ; RNA quality control ; autoimmune diseases ; NELF-E ; haplotype ; genetic drift ; evolution ; nonhuman primate models ; HLA-B27 ; PNS/CNS interface ; risk genes ; pedigree ; MHC-I- and MHC-II-dependent inter-individual recognition ; regulation ; crested ibis ; reproductive performance ; nephropathy ; cancer ; nuclear kinase ; trichohepatoenteric syndrome ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
    Keywords: Industry 4.0 ; cognitive manufacturing ; cognitive load ; human–computer interaction ; 6GIIoE priorities ; 6GIIoE challenges ; 6GIIoE applications ; information system ; sequential methodology ; 6GIIoE theoretical framework ; circular economy ; circular building ; implementation strategies ; design strategies ; circular resource flows ; digital twin ; digital model ; system optimization ; predictive maintenance ; artificial and human intelligence ; security ; risks and risk management ; quality of life ; common welfare ; socio-political assessment ; assembly ; process planning systems ; concurrent engineering ; automotive industry applications ; manufacturing industry applications ; artificial intelligence ; sustainable development ; construction ; civil engineering ; machine learning ; construction engineering ; cognitive data intelligence ; cognitive healthcare ; tiny machine learning ; 6GCIoHE theoretical framework ; data science ; statistical data processing ; predictive analytics ; classification ; clustering ; labor productivity ; health management ; health-saving strategies ; electric power industry ; bridge ; expansion joint ; joint gap ; smart bridge maintenance equipment ; sensor ; structural health monitoring ; line-scan camera ; machine vision ; change management ; COVID-19 ; decision-support model ; digitization ; employee motivation ; employee satisfaction ; human resources ; software tool ; 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: 2024-04-05
    Description: Seaweeds are recognized as highly nutritious, and their use in gastronomy is increasing. Their health benefits and their potential to prevent several diseases have also been established. In this Special Issue several health effects are discussed, with more emphasis on their antitumor activity and potential use to treat Alzheimer’s disease. The key bioactive metabolites, from which phlorotannins can be highlighted, are presented, as well as some important in vivo studies. Altogether, the chapters provide in-depth information about the biological activities of seaweed metabolites, contributing to elucidate the health effects of seaweed.
    Keywords: QH301-705.5 ; Q1-390 ; TX341-641 ; biorefinery ; polyphenols ; dynamic simulation ; Fucus distichus subsp. evanescens ; seaweeds ; phytochemicals ; Bifurcaria bifurcata ; Fucus vesiculosus ; kidney ; complex polysaccharides ; identification ; secondary metabolites ; phlorotannin ; cholinesterases ; eckol ; skin aging ; clinical trials ; dieckol ; fucoxanthin ; age-related macular degeneration ; photo-protection ; phytol ; Alzheimer’s disease ; fucosterol ; bone health ; nutraceutical ; papillomavirus ; red seaweed ; extraction ; osteoporosis ; fucoidan ; marine algae ; chemo-preventive agent ; ischemia-reperfusion injury ; hyperpigmentation ; bone metabolism ; bioactives ; macroalgae ; beta-secretase ; laurinterol ; prebiotics ; dietary fibre ; NMR spectroscopy ; health effects ; bromophenols ; beta-amyloid aggregation ; kahalalide F ; Padina pavonica ; carotenoids ; insulin glycation ; skincare ; mushroom tyrosinase ; polyunsaturated fatty acids ; fatty acid ; in vivo studies ; apoptosis ; algae ; biological activities ; Symphyocladia latiuscula ; Fucus serratus ; mass spectrometry ; Laminaria digitata ; high-speed counter-current chromatography ; isolation and purification ; K14HPV16 ; amyloid-? aggregation ; VEGF ; melanin ; Laurencia ; seaweed ; organotypic culture ; Saccharina latissima ; ex vivo ; genotoxicity assay ; gut microbiota ; phlorotannins ; eckmaxol ; high value applications ; Ecklonia maxima ; B16F10 ; neuroprotection ; linear diterpenes ; antitumoral ; Ecklonia cava ; cancer ; breast cancer explants ; osteosarcoma ; oxidative stress ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; 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: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Beer is a beverage with more than 8000 years of history, and the process of brewing has not changed much over the centuries. However, important technical advances have allowed us to produce beer in a more sophisticated and efficient way. The proliferation of specialty hop varieties has been behind the popularity of craft beers seen in the past few years around the world. Craft brewers interpret historic beer with unique styles. Craft beers are undergoing an unprecedented period of growth, and more than 150 beer styles are currently recognized. This Special Issue, Brewing and Craft Beer, comprises nine different works by researchers from five continents (North America, South America, Europe, Africa, and Oceania). This Special Issue reflects thus a broad perspective on the most important questions that concern the researchers in different parts of the world.
    Keywords: QH301-705.5 ; QD415-436 ; Q1-390 ; polyphenols ; n/a ; nutrient ; audible sound ; wet milling ; brewing technology ; robotics ; fast-screening ; lactose ; image analysis ; bottle refermentation ; beer aging ; sensory attributes ; brewing ; automation ; bitterness ; stout beer ; beer ; craft beer ; foamability ; Safrari ; adjuncts ; fermentation rate ; barley milling ; preference ; germ ; beer wort ; machine learning ; carbonation ; quality ; FAN ; granulometry ; sensory evaluation ; coffee ; beer acceptability ; computer vision ; fermentation ; economic contribution analysis ; short-chain fatty acids ; local value chain ; AEDA ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
    Keywords: SVM ; budding rate ; UAV ; geometric consistency ; radiometric consistency ; point clouds ; ICP ; reflectance maps ; vegetation indices ; Parrot Sequoia ; artificial intelligence ; precision agriculture ; agricultural robot ; optimization algorithm ; online operation ; segmentation ; coffee leaf rust ; machine learning ; deep learning ; remote sensing ; Fourth Industrial Revolution ; Agriculture 4.0 ; failure strain ; sandstone ; digital image correlation ; Hill–Tsai failure criterion ; finite element method ; reference evapotranspiration ; moisture sensors ; machine learning regression ; frequency-domain reflectometry ; randomizable filtered classifier ; convolutional neural network ; U-Net ; land use ; banana plantation ; Panama TR4 ; aerial photography ; remote images ; systematic mapping study ; agriculture ; applications ; total leaf area ; mixed pixels ; Cabernet Sauvignon ; NDVI ; Normalized Difference Vegetation Index ; precision viticulture ; 3D model ; spatial vision ; fertirrigation ; teaching–learning ; spectrometry ; Sentinel-2 ; pasture quality index ; normalized difference vegetation index ; normalized difference water index ; supplementation ; decision making ; digital agriculture ; grape yield estimate ; berries counting ; Dilated CNN ; machine learning algorithms ; classification performance ; winter wheat mapping ; large-scale ; water stress ; Prunus avium L. ; stem water potential ; low-cost thermography ; thermal indexes ; canopy temperature ; non-water-stressed baselines ; non-transpiration baseline ; soil moisture ; andosols ; image processing ; greenhouse ; automatic tomato harvesting ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 82
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
    Keywords: autophagy-related protein ; degradation ; ubiquitin ; proteasome ; autophagy ; Bacillus thuringiensis ; Cry toxin ; nematicidal activity ; pore-formation ; diabetes ; vaccines ; clinical trials ; insulin ; GLP ; nitric oxide ; antioxidants ; metal-stress related transcripts ; rice ; Pb-stress ; Aurisin A ; beta-cyclodextrins ; inclusion complex ; lung cancer ; ruxolitinib ; JAK inhibitor ; rheumatoid arthritis ; molecular modeling ; TOR ; photosynthesis ; cell growth ; AZD8055 ; Auxenochlorella pyrenoidosa ; ovarian cancer ; somatic BRCA mutational status ; digital pathology ; machine learning ; artificial intelligence ; super-secondary structure ; 3β-corner ; folding nuclei ; structure stability ; H Ferritin subunit ; PRDX6 ; protein-protein interaction ; seed-specific transcription factors ; signaling pathways ; seed size ; seed development ; juvenile idiopathic arthritis ; transcriptome-wide association study ; gene-based association analysis ; enrichment analysis ; gene regulatory network ; computational cancer biology ; precision medicine ; oxaliplatin and capecitabine (XELOX) ; data bank ; AlphaFold 2.0 ; graph neural network ; protein features ; nasopharyngeal carcinoma ; bioinformatics ; genes ; melon ; CmSUN ; IQ67 domain ; expression analysis ; overexpression phenotype ; fruit shape regulation ; protein interaction ; smooth muscle titin ; protein aggregates ; amyloid aggregation ; amyloids ; cross-β ; 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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  • 83
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.
    Keywords: transnational industry cooperation ; transnational university cooperation ; transnational innovation ecosystem ; EU–China ; science, technology and innovation cooperation ; transdisciplinary approach ; artificial intelligence ; machine learning ; Higher Education ; University ; Entrepreneurial competences ; Employability ; Theory of Planned Behaviour (TPB) ; Open Innovation ; business creation ; technology transfer ; innovation ; innovation ecosystem ; entrepreneurship education ; science and technology ; sustainability ; higher education ; educational innovation ; Mexico ; academic mobility ; knowledge transfer ; higher education innovation ; institutional environment ; postgraduate education ; education level ; discipline background ; graduation institution ; R&amp ; D investment ; triple helix ; synergy mechanism ; national system of innovation ; China ; Belt and Road Initiative ; developmental model of intercultural sensitivity ; general model of instructional communication ; instructional beliefs model ; intercultural communication competence model ; green GDP ; environment ; sustainable development ; global innovation systems ; Chinese research university ; faculty income ; academic labor market ; ordinary labor market ; joint R&amp ; D institute ; institutional logics ; China’s innovation system ; China’s transnational Triple Helix linkages ; problem-solving ; critical reflection ; knowledge integration ; social learning ; systemic thinking ; entrepreneurial university ; entrepreneurship ; influencing factors ; sustainable universities ; corporate sustainability ; tensions ; integrative framework ; Finnish universities ; higher education system ; social entrepreneurship ; entrepreneurial universities ; business model innovation ; socialist economies ; Cuba ; knowledge brokers ; knowledge intensive policies ; smart specialisation ; innovation ecosystems ; global talent ; social integration ; economic integration ; Chinese student ; Finland ; university ; third mission ; knowledge-based society ; global innovation networks ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
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  • 84
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; 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
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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: This book is a collection of 13 innovative papers describing the state of the art and the future perspectives in solid-phase extraction covering several analytical fields prior to the use of gas or liquid chromatographic analysis. New sorptive materials are presented including carbon nanohorn suprastructures on paper support, melamine sponge functionalized with urea–formaldehyde co-oligomers, chiral metal–organic frameworks, UiO-66-based metal–organic frameworks, and fabric phase sorptive media for various applications. Solid-phase extraction can be applied in several formats aside from the conventional cartridges or mini-column approach, e.g., online solid-phase extraction, dispersive solid-phase microextraction, and in-syringe micro-solid-phase extraction can be very helpful for analyte pre-concentration and sample clean-up. Polycyclic musks in aqueous samples, 8-Nitroguanine in DNA by chemical derivatization antibacterial diterpenes from the roots of salvia prattii, perfluoroalkyl substances (PFASs) in aater samples by bamboo charcoal-based SPE, parabens in environmental water samples, benzotriazoles as environmental pollutants, organochlorine pesticide residues in various fruit juices and water samples and synthetic peptide purification are among the applications cited in this collection. All these outstanding contributions highlight the necessity of this analytical step, present the advantages and disadvantages of each method and focus on the green analytical chemistry guidelines that have to be fulfilled in current analytical practices.
    Keywords: QD1-999 ; Q1-390 ; method validation ; nitrated DNA lesion ; benzotriazoles ; microextraction ; LC-MS/MS ; perfluoroalkyl acids ; antibacterial diterpenes ; in-house loaded SPE ; isotope-dilution ; polycyclic musks ; wastewater ; peptide ; HPLC-DAD ; chiral compounds ; derivatization ; extraction ; water ; enantiomeric excess ; sample preparation ; metal-organic frameworks ; solid-phase extraction ; FPSE ; melamine sponge ; preparative high-performance liquid chromatography ; GC–MS/MS ; solid phase peptide synthesis ; HPLC-PDA ; Salvia prattii ; in-syringe micro solid-phase extraction ; organochlorine pesticides ; hydrophilic solid-phase extraction ; response surface methodology ; IBD ; graphene ; sorptive phase ; paper ; liquid chromatography–tandem mass spectrometry ; carbon nanohorns ; gradient elution ; peroxynitrite ; bamboo charcoal ; gas chromatography-mass spectrometry ; environmental samples ; parabens ; solid phase extraction (SPE) ; preparative purification ; antidepressants ; online solid-phase extraction ; organic pollutants ; urea-formaldehyde co-oligomers ; personal care products ; dispersive solid-phase extraction ; fabric phase sorptive extraction ; analyte partitioning ; thema EDItEUR::P Mathematics and Science::PN Chemistry
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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: This Special Issue features recent data concerning thioredoxins and glutaredoxins from various biological systems, including bacteria, mammals, and plants. Four of the sixteen articles are review papers that deal with the regulation of development of the effect of hydrogen peroxide and the interactions between oxidants and reductants, the description of methionine sulfoxide reductases, detoxification enzymes that require thioredoxin or glutaredoxin, and the response of plants to cold stress, respectively. This is followed by eleven research articles that focus on a reductant of thioredoxin in bacteria, a thioredoxin reductase, and a variety of plant and bacterial thioredoxins, including the m, f, o, and h isoforms and their targets. Various parameters are studied, including genetic, structural, and physiological properties of these systems. The redox regulation of monodehydroascorbate reductase, aminolevulinic acid dehydratase, and cytosolic isocitrate dehydrogenase could have very important consequences in plant metabolism. Also, the properties of the mitochondrial o-type thioredoxins and their unexpected capacity to bind iron–sulfur center (ISC) structures open new developments concerning the redox mitochondrial function and possibly ISC assembly in mitochondria. The final paper discusses interesting biotechnological applications of thioredoxin for breadmaking.
    Keywords: QH301-705.5 ; Q1-390 ; n/a ; regeneration ; posttranslational modification ; H2O2 ; chilling stress ; thioredoxin reductase ; X-ray crystallography ; photosynthesis ; Chlamydomonas reinhardtii ; protein ; monodehydroascorbate reductase ; methionine sulfoxide ; cysteine reactivity ; symbiosis ; plant ; MALDI-TOF mass spectrometry ; thioredoxins ; redox homeostasis ; methionine sulfoxide reductases ; redox ; redox signalling ; chloroplast ; protein-protein recognition ; cyanobacteria ; specificity ; wheat ; methanoarchaea ; stress ; redox regulation ; dough rheology ; methionine sulfoxide reductase ; electrostatic surface ; Calvin cycle ; ALAD ; metazoan ; Arabidopsis thaliana ; baking ; cold temperature ; macromolecular crystallography ; protein oxidation ; function ; methionine oxidation ; development ; iron–sulfur cluster ; tetrapyrrole biosynthesis ; legume plant ; glutathionylation ; Calvin-Benson cycle ; adult stem cells ; carbon fixation ; plastidial ; methionine ; redox active site ; ROS ; water stress ; NADPH ; repair ; physiological function ; signaling ; thioredoxin ; antioxidants ; glutathione ; glutaredoxin ; flavin ; Isocitrate dehydrogenase ; thiol redox network ; ageing ; disulfide ; mitochondria ; chlorophyll ; proteomic ; cysteine alkylation ; ferredoxin-thioredoxin reductase ; SAXS ; regulation ; oxidized protein repair ; ascorbate ; redox control ; nitrosylation ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 87
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue focuses on the current state of pharmacogenomics (PGx) and the extensive translational process, including the identification of functionally important PGx variation; the characterization of PGx haplotypes and metabolizer statuses, their clinical interpretation, clinical decision support, and the incorporation of PGx into clinical care.
    Keywords: pharmacogenomics ; return of results ; genetic counseling ; qualitative ; pharmacogenetics ; implementation ; pharmacogenetics service ; screening ; pre-emptive ; personalized medicine ; precision medicine ; community pharmacy ; pharmacogenomic testing ; genetic privacy ; pharmaco-economics ; polymorphisms ; pharmacogenes ; pharmacogenomic ; machine learning ; adaptation ; human evolution ; US Food and Drug Administration ; clinical actionability ; clinical translation ; chronic kidney disease ; CYP3A5 ; polymorphism ; progression ; pharmacogenomics (PGx) ; pediatrics ; best practice alerts (BPAs) ; electronic health records (EHR) ; genomic indicators ; clinical decision support (CDS) ; phenotype ; genotype ; polypharmacy ; chronic disease ; medication management ; electronic medical record ; artificial intelligence ; 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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  • 88
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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
    Language: English
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  • 89
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Gastrointestinal (GI) cancer is a major cause of morbidity and mortality in the world. Since early diagnosis and optimal treatment selection are crucial to improving the prognosis of these diseases, the discovery of useful biomarkers has the potential to greatly reduce their burden. Recent technical and mechanical developments have allowed for the detection of tiny differences in various factors modified in physical conditions, which could contribute to the discovery of novel biomarkers for some diseases.In this Special Issue, we aim to focus on novel biomarkers for GI cancers, including esophageal cancer, gastric cancer, colorectal cancer, liver cancer, pancreatic cancer and biliary cancer. In addition, any samples (tissue, blood, urine and feces) are useful as biomarker sources, although body-fluid-based biomarkers are promising as diagnostic biomarkers due to their noninvasiveness. This Special Issue aims to collect novel insights clarifying the current situation and future perspective in this field.
    Keywords: colorectal cancer ; advanced adenoma ; screening ; stool ; mRNA ; n/a ; cancer screening ; cirrhosis ; AFP ; machine learning ; MALDI-TOF ; proteomics ; CXCR4 ; prognosis ; overall survival ; rectal cancer ; neoadjuvant chemoradiation ; mouse model ; biomarkers ; urokinase plasminogen activator (uPA) ; urokinase plasminogen activator receptor (uPAR) ; plasminogen activator inhibitor type 1 (PAI-1) ; circulating tumour cell (CTC) ; gastric cancer ; oesophageal cancer ; serine proteases ; tumour microenvironment ; serpins ; biomarker ; chemoresistance ; liquid biopsy ; microRNA ; long non-coding RNA ; colorectal neoplasms ; cancer screening tests ; early detection of cancer ; precision medicine ; unfolded protein ; hepatocellular cancer ; GSVA ; unfolded protein score ; epigenetic regulation genes ; somatic mutations ; molecular genetic markers ; extracellular vesicles ; microbiome ; 16S rRNA amplicon ; metagenomics ; liver fibrosis ; hepatocellular carcinoma ; recurrence ; SHG/TPEF microscopy ; artificial intelligence ; advanced gastric cancer ; targeted therapy ; urinary miRNA ; miR-129-1-3p ; miR-566 ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There has been significant growth in branches of industry directly related to new materials, such as metals, polymers, and composite materials. Considering the increase in material costs, it has become exceedingly important to produce lightweight constructions through the use of certified materials with appropriate mechanical properties. Many composite materials, especially in building engineering, are characterized by the use of waste materials, allowing them to meet environmental demands and often also positively affecting the performance (as well as mechanical) properties of the whole construction. A similar phenomenon has been noticed in polymers and metals, with the “ecologically friendly” factor having increasing influence in such materials. The main aim of our Special Issue was to gather novel research results concerning different materials available for all important industries—building engineering, the heavy industry, automotive, aerospace, and medicine. Such a general title has been proposed to also include different manufacturing technologies using various materials—conventional (milling, casting, forming, and turning) and novel (hybrid and additive manufacturing).
    Keywords: additive manufacturing ; powder bed fusion ; 316L stainless steel ; ultrasonic atomization ; gas atomization ; three-point bending ; polyamide-based composites ; fused filament fabrication ; concrete additives ; concrete fibers ; concrete strength tests ; threshold effect ; flake graphene ; graphene oxide ; reduced graphene oxide ; lubricants ; grease ; fatigue life prediction ; CuZn37 brass ; machine learning ; IPCs ; ceramic preform ; ceramic–elastomer composite ; silane coupling agent ; hot isostatic pressing (HIP) ; wettability ; mechanical properties ; mechanical engineering ; laser powder bed fusion ; 21 NiCrMo2 steel ; process parameters ; post-heat treatment ; torsional strength ; cellular structures ; 20MnCr5 Steel ; cement–glass composite bricks ; digital image correlation analysis ; material extrusion ; PET-G ; waste disposal ; hybrid additive manufacturing ; lattice structures ; hot isostatic pressing ; fatigue behaviour ; polymer–straw boards ; thermoplastic polymers ; annual plants ; 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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  • 92
    Publication Date: 2023-12-20
    Description: The book deals with novel aspects and perspectives in functionally graded materials (FGMs), which are advanced engineering materials designed for a specific performance or function with spatial gradation in structure and/or composition. The contributions mainly focus on numerical simulations of mechanical properties and the behavior of FGMs and FGM structures. Several advancements in numerical simulations that are particularly useful for investigations on FGMs have been proposed and demonstrated in this Special Issue. Such proposed approaches provide incisive methods to explore and predict the mechanical and structural characteristics of FGMs subjected to thermoelectromechanical loadings under various boundary and environmental conditions. The contributions have resulted in enhanced activity regarding the prediction of FGM properties and global structural responses, which are of great importance when considering the potential applications of FGM structures. Furthermore, the presented scientific scope is, in some way, an answer to the continuous demand for FGM structures, and opens new perspectives for their practical use.
    Keywords: QA1-939 ; Q1-390 ; power-law distribution ; evanescent wave ; flow theory of plasticity ; free vibration characteristics ; neural networks ; geometrically nonlinear analysis ; finite element method ; stress concentration factor ; inhomogeneous composite materials ; circular plate ; porous materials ; minimum module approximation method ; ANFIS ; electroelastic solution ; functionally graded piezoelectric materials ; Love wave ; polynomial approach ; stepped FG paraboloidal shell ; material design ; damping coefficient ; spring stiffness technique ; Lamb wave ; pure bending ; general edge conditions ; residual stress ; graded finite elements ; large strain ; non-linear buckling analysis ; orthogonal stiffener ; combined mechanical loads ; functionally graded piezoelectric-piezomagnetic material ; functionally graded beams ; attenuation ; failure and damage ; analytical solution ; functionally graded materials ; elastoplastic analysis ; elastic foundation ; hollow disc ; different moduli in tension and compression ; external pressure ; functional graded saturated material ; bimodulus ; fuzzy logic ; truncated conical sandwich shell ; quadratic solid–shell elements ; functionally graded viscoelastic material ; finite element analysis ; residual strain ; neutral layer ; elliptical hole ; thin structures ; functionally graded plate ; inhomogeneity ; clustering ; metal foam core layer ; robotics and contact wear ; dispersion ; high order shear deformation theory ; finite elements ; bic Book Industry Communication::P Mathematics & science
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
    Keywords: high performance computing ; HPC ; PETSc ; parallelization ; scalability ; parallel performance ; streams ; curvilinear ; non-hydrostatic ; ocean modeling ; GCCOM ; open boundaries ; domain decomposition ; variational data assimilation ; inverse problems ; shallow water equations ; boundary conditions ; mathematical modelling ; coastal ocean modelling ; computational methods ; hydrodynamic ; modeling ; sea level rise ; mobile application ; app ; crowdsourcing ; SCHISM ; Tidewatch ; StormSense ; Catch the King ; downstream blocking ; compound flooding ; coastal storm surge and inundation ; explosive lateral flooding ; hurricane inland and upland flooding ; coastal modelling ; operational forecasting ; model evaluation ; inter-comparison ; NEMO ; FVCOM ; Ocean Protection Plan ; turbidity current ; suspended sediment ; numerical model ; Gulf of Mexico ; cold front ; Hurricane Barry ; numerical simulation ; subtidal hydrodynamics ; multi-inlet ; volume flux ; multiscale ; multiphysics ; model coupling ; data collection ; 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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  • 94
    Publication Date: 2024-04-05
    Description: Sterols and other isoprenoids are of great interest for their molecular structure and function in cell architecture and evolution, as well as for their importance in medicine and agriculture. Molecules’ 2019 Festschrift Special Issue in honor of the 65th birthday of Prof. W. David Nes, an internationally recognized chemical biologist and recipient of the George Schroepher medal for sterol research, focuses on recent developments in the chemistry, biosynthesis, and function of these polycyclic natural products. This volume of Molecules contains 16 leading-edge review articles and original research contributions from an international cast of scientists. This volume is grouped into three sections: (i) isoprenoid metabolome and diversity, (ii) clinical evaluation of sterol and triterpene structures and biosynthesis, and (iii) methods and synthesis of steroids and other compounds. The volume will be a valuable reference tool for those who study medicinal chemistry, protein chemistry, and biochemistry of isoprenoid lipids.
    Keywords: QH301-705.5 ; QD415-436 ; Q1-390 ; high-fat high-carbohydrate diet ; toxicity ; oxysterol ; n/a ; squalene cyclase ; sterol content ; sterolomics ; Polystichum ; Smith-Lemli-Opitz syndrome ; antifungals ; alkaloid ; cycloartenol synthase ; degeneration ; phytosterol ; Rhizopus arrhizus ; fibroblasts ; pod-blast ; fern ; cholesterol ; cytotoxic activity ; N-methylpiperidine. reductive deamination ; genetic disease ; isoprenoid ; steroid ; atherosclerosis ; granatane ; antioxidant ; wound healing ; development ; enzyme-assisted derivatization ; maturity ; terpene ; keratinocytes ; C4-demethylation complex (C4DMC) ; ?-sitosterol ; mesocarp ; sterol biosynthesis ; mechanism-based inactivators ; Mucorales ; gas chromatography-mass spectrometry (GC-MS) ; Girard reagent ; ROS ; sterol pattern ; N-methylcadaverine ; ?-tocopherol ; electrospray ionization-mass spectrometry ; human African trypanosomiasis ; HUVECs ; lipidomics ; campesterol ; triterpene ; oxyphytosterol ; leishmania ; Chagas disease ; LOX-1 ; sterol C24-methyltransferase ; antifungal effectivity ; ergosterol biosynthesis ; hormone ; glucose homeostasis ; retina ; solanaceae ; cholestanoic acid ; algal sterols ; cell migration ; withanolides ; insulin resistance ; Zingiber officinale ; posaconazole ; synthesis ; pre-diabetes ; pharmacognosy ; sterol ; 4-methylsterol ; oleanolic acid ; antiparasitic drugs ; lupeol ; oilseed ; aurelianolides ; divalent metal co-factor ligation ; bile alcohol ; phytosterols ; azoles ; infectious disease ; gingerols ; UV-radiation ; oil bodies ; ZnO ; sterol 14?-demethylase ; stigmasterol ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 95
    Publication Date: 2024-04-11
    Description: heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; geophysical monitoring ; data scarcity ; missing data ; climate extreme indices (CEIs) ; rule extraction ; Dataset Licensedatabase ; data assimilation ; data imputation ; support vector machines ; environmental observations ; multi-class classification ; earth-science data ; remote sensing ; magnetotelluric monitoring ; soil texture calculator ; machine learning ; ClimPACT ; invasive species ; species distribution modeling ; 3D-Var ; ensemble learning ; data quality ; water quality ; microhabitat ; k-Nearest Neighbors ; Expert Team on Climate Change Detection and Indices (ETCCDI) ; decision trees ; processing ; attribute reduction ; Expert Team on Sector-specific Climate Indices (ET-SCI) ; core attribute ; rough set theory ; GLDAS ; arthropod vector ; environmental modeling ; statistical methods ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
    Keywords: machine learning ; flash flood ; GIS ; Iran ; decision trees ; ensemble techniques ; manhole flooding ; urban flooding ; grid-based modeling ; SWWM ; FIRM ; pollutant transport ; hydraulic structures ; urban drainage ; CFD ; dual drainage ; Iber ; SWMM ; hazard ; artificial neural network ; resilient backpropagation ; multistep urban flood forecast ; demographic change ; urbanization ; flooding ; drainage system ; vulnerability ; Sub-Saharan Africa ; Antananarivo ; parameterised power-linear model ; hyper concentration ; dilute concentration ; suspended sediment transport ; flood ; sediment size parameter ; rouse number ; mean concentration ; flow depth ; urban flood modeling ; porosity ; shallow-water model ; urban flood management ; flood forecasting ; weather radar ; integrated hydraulic modeling ; and evacuation lead time ; 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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  • 97
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    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: In 2011, carbohydrates provided 63% of the dietary energy intake to the world’s population. Historically, carbohydrate-rich diets have been associated with good health and longevity but there has been a move away from traditional carbohydrate-rich diets, with refined carbohydrate taking much criticism for contributing to non-communicable disease. The aim of this Special Issue is to discuss the appropriate use of environmentally sustainable carbohydrate-rich foods in the modern diet in developing and developed countries in the context of prevention and treatment of non-communicable disease.
    Keywords: QH301-705.5 ; Q1-390 ; TX341-641 ; satiety ; preload ; carbohydrate ; observational study ; body weight ; chronic disease risk ; postprandial ; isomaltulose ; qualitative ; glycaemic glucose equivalents ; mixed meal ; glycaemia ; obesity ; kiwifruit ; knowledge ; carbohydrates ; sugars ; timing ; sucrose ; CVD ; nutrition ; glycemia ; prebiotics ; intestinal biota ; glycemic response ; fibre ; T2DM ; low-carbohydrate diet ; ethnicity ; rice consumption ; activity ; fruit ; exercise ; discussion groups ; potato ; resistant starch ; pasta ; type 2 diabetes mellitus ; glycemic index ; vitamin C ; carbohydrate exchanges ; fructose ; glycemic load ; Japanese diet ; rice ; type 2 diabetes ; glycaemic response ; dietary pattern ; insulinaemia ; diabetes ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 98
    Publication Date: 2024-04-05
    Description: Supernumerary B chromosomes (Bs) are dispensable genetic elements found in thousands of species of plants and animals, and some fungi. Since their discovery more than a century ago, they have been a source of puzzlement, as they only occur in some members of a population and are absent from others. When they do occur, they are often harmful, and in the absence of “selfishness”, based on mechanisms of mitotic and meiotic drive, there appears to be no obvious reason for their existence. Cytogeneticists have long wrestled with questions about the biological existence of these enigmatic elements, including their lack of any adaptive properties, apparent absence of functional genes, their origin, sequence organization, and co-evolution as nuclear parasites. Emerging new technologies are now enabling researchers to step up a gear, to look enthusiastically beyond the previous limits of the horizon, and to uncover the secrets of these “silent” chromosomes. This book provides a comprehensive guide to theoretical advancements in the field of B chromosome research in both animal and plant systems.
    Keywords: QH301-705.5 ; Q1-390 ; parent-of-origin effects ; fluorescent in situ hybridization ; coverage ratio analysis ; n/a ; ribosomal DNA ; reactivation ; cytogenetics ; epigenetics ; heterochromatin ; interphase nucleus ; whole genome resequencing ; transmission ; grasshoppers ; genome instability ; dot-like (micro) Bs ; ?s ; B chromosome ; supernumerary elements ; transcription of heterochromatin ; maternal X chromosome ; supernumerary chromosome ; population analysis ; supernumerary ; repeat clusters ; extra chromosomes ; genes ; tandem repeats ; B morphotypes ; repetitive DNA ; repetitive elements ; DNA copy number variation ; chromosome polymorphism ; satellite DNA ; mammals ; maize B chromosome ; additional chromosomes ; inactivation ; drive ; B chromosomes ; FISH (fluorescence in situ hybridisation) ; organelle DNA ; Orthoptera ; origin ; supernumerary chromosomes ; karyotype evolution ; GISH (genomic in situ hybridisation) ; DNA composition ; de novo centromere formation ; genomics ; paternal X chromosome ; euchromatin degradation ; supernumerary chromosomal segments (SCS) evolution ; centromere ; sSMC ; Prospero autumnale complex ; next-generation sequencing ; Drosophila ; host/parasite interaction ; Apodemus peninsulae ; genome evolution ; evolution ; teleost ; chromosome evolution ; microdissected DNA probes ; controlling element ; mobile element ; RNA-Seq ; karyotypes ; karyotypic characteristics ; RepeatExplorer ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 99
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    Unknown
    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
    Language: English
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  • 100
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    Unknown
    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
    Language: English
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