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  • Q1-390  (396)
  • deep learning  (377)
  • MDPI - Multidisciplinary Digital Publishing Institute  (769)
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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: 2024-04-05
    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
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; 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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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-23
    Description: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Keywords: sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    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
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  • 6
    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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  • 7
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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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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Keywords: photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 9
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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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  • 10
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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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  • 11
    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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  • 12
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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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  • 13
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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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  • 14
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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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  • 15
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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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  • 16
    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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  • 17
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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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  • 18
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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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  • 19
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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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  • 20
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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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  • 21
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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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  • 22
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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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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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  • 24
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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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  • 25
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    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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  • 27
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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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  • 28
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: According to the National Research Council, the use of embedded systems throughout society could well overtake previous milestones in the information revolution. Mechatronics is the synergistic combination of electronic, mechanical engineering, controls, software and systems engineering in the design of processes and products. Mechatronic systems put “intelligence” into physical systems. Embedded sensors/actuators/processors are integral parts of mechatronic systems. The implementation of mechatronic systems is consistently on the rise. However, manufacturers are working hard to reduce the implementation cost of these systems while trying avoid compromising product quality. One way of addressing these conflicting objectives is through new automatic control methods, virtual sensing/estimation, and new innovative hardware topologies.
    Keywords: independent-wheel drive ; steering assistance ; nonlinear system ; active disturbance rejection control ; smooth road feeling ; city bus transport ; electric vehicles ; electrification ; software tool ; planning ; control ; charging management ; simulation ; analysis ; energy management ; hybrid electric vehicle ; powertrain electrification ; equivalent consumption minimization ; supercharging ; hardware-in-the-loop experiments ; driving force distribution ; decentralized traction system ; 4WD electric vehicle ; energy efficiency ; traction control ; efficiency optimization ; air mobility ; fuel cell hybrid aircraft ; stochastic optimal control ; drift counteraction optimal control ; normal force estimation ; unbiased minimum variance estimation ; controller output observer ; youla parameterization ; adaptive cruise control ; automated driving ; energy-saving ; fuel-saving ; optimal control ; passenger comfort ; new energy vehicles ; speed prediction ; macroscopic traffic model ; traffic big-data ; deep learning ; vehicle lateral dynamic and control ; unresolved issues ; application of speed prediction ; electric vehicle ; hybrid vehicle ; lithium ion ; ultracapacitor ; battery aging ; EHB ; EMB ; EWB ; system modeling ; bond graph ; optimization ; control design ; Youla parameterization ; robust control ; nonlinear optimization ; brake-by-wire ; actuator ; electro-mechanical brake ; electronic wedge brake ; electro-hydraulic brake ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    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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    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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  • 33
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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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  • 34
    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion.
    Keywords: diauxic growth ; replicator equation ; mesoscopic model ; integro-differential equations ; anomalous diffusion ; statistical analysis ; single-particle tracking ; trajectory classification ; fractional Brownian motion ; estimation ; autocovariance function ; neural network ; Monte Carlo simulations ; multifractional Brownian motion ; power of the statistical test ; machine learning classification ; feature engineering ; confinement ; information theory ; Brownian particle ; stochastic thermodynamics ; CTRW ; diffusing-diffusivity ; occupation time statistics ; wound healing dynamics ; single pseudo-particle tracking ; phase contrast image segmentation ; 3D single-particle tracking ; Fisher information ; non-uniform illumination ; SPT ; deep learning ; residual neural networks ; random walk ; heterogeneous ; endosomes ; single particle trajectory ; stochastic processes ; trapping ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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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  • 39
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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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  • 40
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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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  • 41
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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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  • 42
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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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 44
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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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 47
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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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  • 48
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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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  • 49
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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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  • 50
    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: 2022-05-06
    Description: Myxobacteria are fascinating and important prokaryotes. They have large genomes and exhibit a wide range of interesting behaviors, including multicellular fruiting body formation, social interaction, predation, and secondary metabolite production. Substantial progress is being made in understanding their ecological roles and the evolutionary forces that have shaped their phenotypes and behaviors. Novel species of myxobacteria are regularly described, often producing unusual metabolites and enzymes which can be of significant biotechnological interest. Molecular studies, ranging in subject from individual enzymes to entire ‘omes, continue to provide rich insights into myxobacterial biology. This collected volume brings together five research articles and three reviews, to provide a snapshot of current myxobacterial research in all its diversity.
    Keywords: carotenoids ; comparative genomics ; development ; fruiting body formation ; one-component systems ; quorum signalling ; two-component systems ; myxobacteria ; Myxococcales ; germination ; bacterial cell wall ; sporulation ; morphology ; photoreceptor ; photosensitizer ; photoregulation ; singlet oxygen ; plasmalogens ; CarF ; vitamin B12 ; CarH ; ECF-sigma ; CarD-CdnL ; microbial food web ; trophic interactions ; predator–prey interactions ; mesopredator ; social bacteria ; nematodes ; experimental community ; behavior ; Myxococcus sp. ; Corallococcus sp. ; Melittangium sp. ; Archangium sp. ; biosynthetic gene clusters ; Myxococcus xanthus ; phase contrast microscopy ; fluorescence microscopy ; aggregation ; rippling ; deep learning ; generative adversarial network ; pretator-prey coevolution ; antagonism ; mucoidy ; predatory bacteria ; bacterial predation ; prey diversity ; negative frequency dependence ; experimental evolution ; MyxoEE-6 ; functional genomics ; genome evolution ; genome organisation ; pan-genome ; proteomics ; taxonomy ; transcriptomics ; 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::PSG Microbiology (non-medical)
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  • 52
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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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  • 55
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: The concept of remote sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of Earth observation satellites.The emergence of unmanned aerial vehicles (UAV) with Global Navigation Satellite System (GNSS) controlled navigation and sensor-carrying capabilities has increased the number of publications related to new remote sensing from much closer distances. Previous knowledge about the behavior of the Earth's surface under the incidence different wavelengths of energy has been successfully applied to a large amount of data recorded from UAVs, thereby increasing the special and temporal resolution of the products obtained.More specifically, the ability of UAVs to be positioned in the air at pre-programmed coordinate points; to track flight paths; and in any case, to record the coordinates of the sensor position at the time of the shot and at the pitch, yaw, and roll angles have opened an interesting field of applications for low-altitude aerial photogrammetry, known as UAV photogrammetry. In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. The set of technical advances described above allows for geometric modeling of terrain surfaces with high accuracy, minimizing the need for topographic campaigns for georeferencing of such products.This Special Issue aims to compile some applications realized thanks to the synergies established between new remote sensing from close distances and UAV photogrammetry.
    Keywords: unmanned aerial vehicle ; urban LULC ; GEOBIA ; multiscale classification ; unmanned aircraft system (UAS) ; deep learning ; super-resolution (SR) ; convolutional neural network (CNN) ; generative adversarial network (GAN) ; structure-from-motion ; photogrammetry ; remote sensing ; UAV ; 3D-model ; surveying ; vertical wall ; snow ; remotely piloted aircraft systems ; structure from motion ; lidar ; forests ; orthophotography ; construction planning ; sustainable construction ; urbanism ; BIM ; building maintenance ; unmanned aerial vehicle (UAV) ; structure-from-motion (SfM) ; ground control points (GCP) ; accuracy assessment ; point clouds ; corridor mapping ; UAV photogrammetry ; terrain modeling ; vegetation removal ; unmanned aerial vehicles ; power lines ; image-based reconstruction ; 3D reconstruction ; unmanned aerial systems ; time series ; accuracy ; reproducibility ; orthomosaic ; validation ; drone ; GNSS RTK ; precision ; elevation ; multispectral imaging ; vegetation indices ; nutritional analysis ; correlation ; optimal harvest time ; UAV images ; monoscopic mapping ; stereoscopic plotting ; image overlap ; optimal image selection ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 56
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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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  • 57
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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: 2024-03-27
    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: 2024-04-05
    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: 2024-04-05
    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
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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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    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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    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 71
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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  • 72
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 73
    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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  • 74
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 75
    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
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  • 76
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    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
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  • 77
    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
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  • 78
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 79
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 80
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 81
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
    Keywords: CIELab ; component Substitution ; Pan sharpening ; Pléiades VHR Image ; coal ; inertinite macerals ; classification ; multifractal analysis ; support vector machine ; block-based coding ; video coding ; H.265/HEVC ; affine motion compensation ; image registration ; homography matrix ; local homography transformation ; convolutional neural network ; moving direct linear transformation ; super-resolution (SR) ; convolution neural network (CNN) ; Gene Expression Programming (GEP) ; deep learning ; image preclassification ; suspicious behavior detection ; motion ; magnitude ; gradient ; reactivity ; saliency ; haze removal ; dark channel ; atmospheric-light estimation ; coarse-to-fine search strategy ; sparse dictionary ; stable recovery ; frame ; RIP ; local dimming ; retinex theory ; bi-histogram equalization ; contrast ratio ; details preservation ; pansharpening ; image fusion ; image quality ; Satellite Pour l’Observation de la Terre (SPOT) 6 ; spectral consistency ; spatial consistency ; synthesis ; artificial intelligence ; dental application ; images ; detection ; parseval frame ; transform ; sparse representation ; octave convolution ; bilingual scene text reading ; Ethiopic script ; attention ; nasal cytology ; automatic cell segmentation ; rhinology ; image analysis ; feature extraction ; shape context ; plant recognition ; DPCNN ; BOF ; numeral spotting ; historical document analysis ; convolutional neural networks ; deep transfer learning ; handwritten digit recognition ; spectrum correction ; intensity correction ; compressed sensing ; tradeoff process ; IKONOS ; remote sensing ; fine-tuning ; learning rate scheduler ; cyclical learning rates ; label smoothing ; classification accuracy ; neural networks ; salient object detection ; RGB-D ; object detection ; small object ; multi-scale sampling ; balanced sampling ; texture ; structure ; optical ; coke ; iron ore ; sinter ; image processing ; segmentation ; identification ; action recognition ; silhouette sequences ; shape features ; ambient assisted living ; active ageing ; n/a ; 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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  • 82
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: This book is a printed edition of the Special Issue Recent Advances in Water Management: Saving, Treatment and Reuse that was published in Water
    Keywords: GE1-350 ; Q1-390 ; anaerobic processes ; risk assessment ; B. adusta ; environmental education ; foreign countries ; ornamental plants ; filter media ; Pb(II) ; passive treatment systems ; lignin ; oxygen injection ; water treatment ; guidelines ; microbiological quality ; membrane technology ; contaminated sites ; pulp-and-paper-mill c ; milk production ; wastewater ; efficiency ; forest waste ; vertical flow ; emerging contaminant ; decomposition analysis ; active sites ; water ; sustainability ; water treatment technology ; adsorption thermodynamic ; surface water ; agricultural occupations ; zeolite ; conservation ; trickling filter ; hydrogen sulfide ; nitrification ; organic matter ; constructed wetlands ; sewerage ; water recycling ; treated wastewater reuse ; advanced oxidation processes (AOPs) ; odor control ; anammox bacteria ; wastewater treatment ; ferrous iron ; combined sewer ; surveys ; occurrence ; denitrification ; research and development strategy ; carbamazepine toxicity ; global patent data ; activated carbon adsorption ; China ; food industry ; COD ; palm mulch ; ferrous sulfide ; nano illite/smectite clay ; pharmaceuticals ; footprint ; conventional treatment processes ; anticorrosive agent ; pumping mains ; adsorption kinetics ; swine wastewater ; P. crysosporium ; micropollutant removal ; tezontle ; delignification ; partitioning ; white rot fungi ; river ; anaerobic digester ; benzotriazole ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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  • 83
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: In the past few years, knowledge about glaucoma diagnosis and follow up has evolved dramatically through advances in intraocular pressure (IOP) measurement, corneal biomechanics, structural and functional assessment of the ocular surface, anterior chamber, retina, optic nerve and intracranial visual pathways, as well as the advent of artificial intelligence. In addition, the development of new modalities of IOP-lowering and non-IOP-lowering drugs, alternative deliveries, refined laser technologies, and minimally invasive glaucoma surgery (MIGS) techniques with different implants have widened the therapeutic possibilities for treating this disease. Finally, current insights into risk factors and quality of life in relation to glaucomatous impairment are emerging. The purpose of this Special Issue is to present the latest exciting clinical developments that are taking place in the field of glaucoma.
    Keywords: ripasudil ; suture trabeculotomy ab interno ; Schlemm’s canal incision ; aqueous outflow ; open-angle glaucoma ; glaucoma ; inflammation ; oxidative stress ; phenotype ; polymorphism ; susceptibility ; intraocular pressure ; ocular inflammation ; cornea biomechanics ; Corvis® ST ; subclinical keratoconus ; ocular hypertension ; tears ; miRNAs ; next generation sequencing ; biomarkers ; genes ; signaling pathways ; apoptosis ; neurodegeneration ; glaucoma suspect ; lamina cribrosa ; optical coherence tomography angiography ; peripapillary vessel density ; OCTA ; vessel density ; disc ; peripapillary ; NTG ; BRVO ; corneal hysteresis ; corneal biomechanics ; ocular biomarkers ; deep learning ; perimetry ; optic nerve ; obesity ; risk factor ; young adults ; multifocal visual evoked potentials ; mfVEP ; physical exercise ; sport ; acrobatic gymnastics ; baseline intraocular pressure ; central corneal thickness ; ocular health ; tumbling skills ; hand balance ; cytokines ; BDNF ; VEGF ; fractalkine ; microglia ; saffron ; crocin ; retinal glial cells ; microperimetry ; OCT ; macula ; structure ; function ; correlation ; retina ; inner ; outer ; macular segmentation ; optical coherence tomography-angiography ; vascular density ; blood flow ; biomarker ; myopia ; n/a ; bic Book Industry Communication::M Medicine
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  • 84
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Keywords: UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: This Special Issue focuses mainly on techniques and the relative formalism typical of numerical methods and therefore of numerical analysis, more generally. These fields of study of mathematics represent an important field of investigation both in the field of applied mathematics and even more exquisitely in the pure research of the theory of approximation and the study of polynomial relations as well as in the analysis of the solutions of the differential equations both ordinary and partial derivatives. Therefore, a substantial part of research on the topic of numerical analysis cannot exclude the fundamental role played by approximation theory and some of the tools used to develop this research. In this Special Issue, we want to draw attention to the mathematical methods used in numerical analysis, such as special functions, orthogonal polynomials, and their theoretical tools, such as Lie algebra, to study the concepts and properties of some special and advanced methods, which are useful in the description of solutions of linear and nonlinear differential equations. A further field of investigation is dedicated to the theory and related properties of fractional calculus with its adequate application to numerical methods.
    Keywords: QA1-939 ; Q1-390 ; risk assessment ; complex Lagrangian ; effective order ; logarithmic singularities ; Swift–Hohenberg type of equation ; Cauchy singularity ; differential equations ; unitary extension principle ; oscillatory solutions ; coupling impedance ; Fredholm integral equations ; dual integral equations ; composition properties ; delay differential equations ; chemical reaction ; Noether symmetries ; symplectic Runge–Kutta methods ; order conditions ; non-homogeneous ; wavelets ; multiresolution analysis ; narrow band domain ; pseudo-Chebyshev polynomials ; highly oscillatory integrals ; tight framelets ; Chebyshev polynomials ; nonoscillatory solutions ; ignition hazard ; quad-colored trees ; general solution ; operator splitting method ; fourth-order ODEs ; offshore plant ; special function ; second-order ; surfaces ; numerical analysis ; effective field strength ; closest point method ; oblique extension principle ; heat generation ; B-splines ; Runge-Kutta type methods ; orthogonality properties ; Frobenius method ; hamiltonian systems ; B-series ; k-hypergeometric series ; particle accelerator ; first integrals ; partitioned runge-kutta methods ; Clenshaw-Curtis quadrature ; recurrence relations ; thin needle ; nanofluid ; Hamiltonian system ; k-hypergeometric differential equations ; steepest descent method ; symplecticity ; fourth-order ; bic Book Industry Communication::P Mathematics & science
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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
    Keywords: CNC parameters ; machining mode ; high speed ; high accuracy ; high surface quality ; five-axis linear-segment toolpath ; path smoothing ; B-spline curve-fitting ; path synchronization ; feedrate scheduling ; flute-grinding ; evolution algorithms ; wheel location and orientation ; thin-floor machining ; chatter ; magnetorheological damper ; bull-nose end mill ; tool wear monitoring ; milling ; complex part ; deep learning ; autoencoder ; deep multi-layer perceptron ; tool condition monitoring ; tool change policy ; Industry 4.0 ; machine learning ; CNN ; AI ; additive manufacturing ; thin walled machining ; dynamics ; machining cycle optimization ; multivariable tool ; stable peninsula ; homotopy perturbation method ; machining robot ; natural frequency prediction ; model optimization ; dynamic performance ; stability ; machining ; grinding ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 87
    Publication Date: 2023-12-20
    Description: Global population growth is urban growth and, therefore, most of the water-related challenges and solutions reside in cities. Unless water management and water governance processes are significantly improved within the next decade or so, cities are likely to face serious and prolonged water insecurity, urban floods, and/or heat stress, which may result in social instability and, ultimately, massive migration. Aging water infrastructure, one of the most expensive infrastructures in cities, is a relevant challenge in order to address Sustainable Development Goal (SDG) 6: clean water and sanitation, SDG 11: sustainable cities and communities, and SDG 13: climate action. The choice of good governance arrangements has important consequences for economic performance, for the well-being of citizens, and for the quality of life in urban areas. The better governance arrangements work in coordinating policies across jurisdictions and policy fields, the better the outcomes. Rapidly-changing global conditions will make future water governance more complex than ever before in human history, and expectations are that water governance and water management will change more during the next 20 years compared to the past 100 years. In this Special Issue of Water, the focus will be on practical concepts and tools for water management and water governance, with a focus on cities.
    Keywords: Q1-390 ; flood resilience ; flood risk ; Cape Town ; Sustainable Development Goals (SDGs) ; sustainable development goals ; urban planning ; coordination ; IHP ; storm water management ; stakeholder involvement ; flood risk management ; water management sustainability ; Generalized Likelihood Uncertainty Estimation (GLUE) ; climate change ; urban water cycle ; wastewater management ; water policy ; governance capacity ; greenhouse gas emissions ; intergovernmental ; Urban Water Management Programme ; indicators ; sustainability ; city networks ; water sensitive cities ; water scarcity ; ICLEI ; flood damage assessment ; stakeholder participation ; SuDS ; climate change mitigation ; social network analysis ; water ecology ; SDGs ; urban resilience ; design rainfall event ; cost of inaction ; rainwater harvesting ; co-design ; UNESCO ; rainfall-runoff ; storm water control measure ; decentralized water reclamation with resource recovery ; baseline assessment ; City Blueprint Approach ; urban water management ; urban landscape ; governance strategies ; science and technology ; drinking water ; Integrated Water Resources Management ; resilience ; Sponge City ; stormwater reservoir ; use-attainment ; sustainability assessment ; water security ; Water-Energy-Food Nexus ; water management ; water supply ; Storm Water Management Model (SWMM) ; urban drainage ; lifecycle analysis ; social infrastructure ; urban pluvial flooding ; assessment framework ; footprint ; climate change adaptation ; infrastructure ; total cost of ownership ; water governance ; flood control ; water-reuse ; governance ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 88
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Keywords: HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 89
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Keywords: coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
    Keywords: forest structure change ; EBLUP ; small area estimation ; multitemporal LiDAR and stand-level estimates ; forest cover ; Sentinel-1 ; Sentinel-2 ; data fusion ; machine-learning ; Germany ; South Africa ; temperate forest ; savanna ; classification ; Sentinel 2 ; land use land cover ; improved k-NN ; logistic regression ; random forest ; support vector machine ; statistical estimator ; IPCC good practice guidelines ; activity data ; emissions factor ; removals factor ; Picea crassifolia Kom ; compatible equation ; nonlinear seemingly unrelated regression ; error-in-variable modeling ; leave-one-out cross-validation ; digital surface model ; digital terrain model ; canopy height model ; constrained neighbor interpolation ; ordinary neighbor interpolation ; point cloud density ; stereo imagery ; remotely sensed LAI ; field measured LAI ; validation ; magnitude ; uncertainty ; temporal dynamics ; state space models ; forest disturbance mapping ; near real-time monitoring ; CUSUM ; NRT monitoring ; deforestation ; degradation ; tropical forest ; tropical peat ; forest type ; deep learning ; FCN8s ; CRFasRNN ; GF2 ; dual-FCN8s ; random forests ; error propagation ; bootstrapping ; Landsat ; LiDAR ; La Rioja ; forest area change ; data assessment ; uncertainty evaluation ; inconsistency ; forest monitoring ; drought ; time series satellite data ; Bowen ratio ; carbon flux ; boreal forest ; windstorm damage ; synthetic aperture radar ; C-band ; genetic algorithm ; multinomial logistic regression ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Keywords: wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
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  • 92
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Rivers are an excellent witness of the dynamics affecting Earth’s surface due to their sedimentary products and morphological expression, which may be considered as fluvial archives. Until now, the focus has been on evaluating the general impact of individual external factors. However, the importance of the specific environmental characteristics of these factors has become increasingly recognized, as highlighted in recent case studies. For example, the effects of regional climate, differentiated topography and vegetation, and frozen ground appear to play an essential role in the evolution of the fluvial system. Integration of such environmental conditions in the processes that were active within the complex fluvial system will open new perspectives in our progressive understanding of the evolution of landscape form, ecology, sediment fluxes, and hydrology of the system within the framework of the external drivers such as tectonics, general climate, and human activity. This is an appealing challenge that we wish to address in the present Special Issue under the aegis of the Fluvial Archives Group (FLAG).
    Keywords: Q1-390 ; n/a ; Tisa ; dikes ; OSL dating ; last glacial ; legacy sediments ; fluvial archives ; western Iberia ; fire ; river engineering ; uplift ; crustal properties ; craton ; fluvial evolution ; OSL-dating ; local conditions ; Pannonian Basin ; deforestation ; eastern Australia ; tectonic impact ; Holocene ; optically stimulated luminescence ; paleo-fluvial ; environmental change ; terrace development ; vegetation-induced sedimentary structures ; alluvial fan ; FLAG ; dams ; agriculture ; fluvial forcing ; domestication ; archaeology ; terrace ; sedimentary basins ; Anthropocene ; Late Pleistocene ; fluvial facies ; optical stimulated luminescence (OSL) dating ; OSL ; climate ; channel entrenchment ; grain-size analysis ; river terraces ; Tisza ; extrinsic controls ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.
    Keywords: computational intelligence ; medical assistance ; instance-based learning ; healthcare ; clinical decision support systems ; deep neural networks ; medical imaging ; backdoor attacks ; security and privacy ; COVID-19 ; gastric cancer ; endoscopy ; deep learning ; convolutional neural network ; brain ; pituitary adenoma ; dysembryoplastic neuroepithelial tumor ; DNET ; ganglioglioma ; digital pathology ; computer vision ; machine learning ; CNN ; ATLAS ; HarDNet ; Swin transformer ; segmentation ; U-Net ; cerebral infarction ; CycleGAN ; advanced statistics ; schizophrenia ; aggression ; forensic psychiatry ; medical image segmentation ; CT image segmentation ; kernel density ; semi-automated labeling tool ; Bayesian learning ; neuroimaging ; feature selection ; kernel formulation ; mental disorders ; MRI ; visual acuity ; fundus images ; ophthalmology ; SVM ; 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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  • 94
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Stochastic processes have wide relevance in mathematics both for theoretical aspects and for their numerous real-world applications in various domains. They represent a very active research field which is attracting the growing interest of scientists from a range of disciplines.This Special Issue aims to present a collection of current contributions concerning various topics related to stochastic processes and their applications. In particular, the focus here is on applications of stochastic processes as models of dynamic phenomena in research areas certain to be of interest, such as economics, statistical physics, queuing theory, biology, theoretical neurobiology, and reliability theory. Various contributions dealing with theoretical issues on stochastic processes are also included.
    Keywords: QA1-939 ; Q1-390 ; arithmetic progressions ; weighted quadratic variation ; fractional differential-difference equations ; small deviations ; periodic intensity functions ; realized volatility ; rate of convergence ; host-parasite interaction ; first Chebyshev function ; regularly varying functions ; Cohen and Grossberg neural networks ; mixture of Gaussian laws ; diffusion model ; transition densities ; re-service ; Strang–Marchuk splitting approach ; random delays ; nematode infection ; first-passage-time ; total variation distance ; forecast combinations ; products of primes ; discrete time stochastic model ; multiplicative noises ; slowly varying functions ; growth curves ; stochastic process ; loan interest rate regulation ; birth-death process ; non-Markovian queue ; catastrophes ; exogenous factors ; seasonal environment ; repairs ; proportional hazard rates ; structural breaks ; transient probabilities ; first passage time (FPT) ; bounds ; double-ended queues ; mixed Gaussian process ; stochastic order ; time between inspections ; busy period ; diffusion ; continuous-time Markov chains ; general bulk service ; time-non-homogeneous birth-death processes ; stand-by server ; reliability ; sensor networks ; random impulses ; scale family of distributions ; maximum likelihood estimation ; multi-state network ; totally positive of order 2 ; lognormal diffusion process ; fractional birth-death processes ; exact asymptotics ; stochastic orders ; time-non-homogeneous jump-diffusion processes ; asymptotic distribution ; inverse first-passage problem ; nonhomogeneous Poisson process ; two-dimensional signature ; multiple vacation ; first-passage time ; mean square stability ; fractional queues ; differential entropy ; random parameter matrices ; Wasserstein distance ; breakdown and repair ; fusion estimation ; bic Book Industry Communication::P Mathematics & science
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  • 95
    Publication Date: 2024-04-11
    Description: Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.
    Keywords: TA1-2040 ; T55.4-60.8 ; T1-995 ; localization ; smart system ; n/a ; connected enterprise ; digital manufacturing ; AHP ; YOLOv3 ; decision support ; neural network ; vertex distance ; depthwise separable convolution ; cutting insert selection ; smart service ; contour detection ; convolutional neural networks ; platform-based ecosystem ; in-line dimensional inspection ; dilated convolutions ; fabric defect detection ; classification ; FCM ; LGM ; digital information flow ; turning ; computer vision ; control service ; blister defect ; RMTs ; feature pyramid ; research and development indicators ; maintenance expert ; polymer lithium-ion battery ; IT concept ; Industry 4.0 ; matching ; data reduction ; competence ; fibre of preserved Szechuan pickle ; elliptical paraboloid array ; relative angle ; geometric relationship ; optical system ; configure-to-order ; aircraft structure crack detection ; digital twins ; smart factory ; D-VGG16 ; optical slope sensor ; smart manufacturing ; self-calibration method ; convolutional neural network ; industry 4.0 ; skyline queries ; machine learning ; scalability test ; cyber-physical production systems ; Cyber-Physical Systems (CPS) ; demand-side response ; cutting parameter optimization ; image smoothing ; marketing innovations ; genetic algorithm ; automation system ; defect detection ; scheduling ; job shop systems ; big data ; operator theory ; micro-armature ; train wheel ; industrial knowledge graph ; industrial load management ; bilinear model ; artificial neural networks ; 4th industrial revolution ; INDUSTRY 4.0 ; construction equipment ; lean assembly ; capacity control ; Grad-CAM ; revolution workpiece ; chatter ; anomaly detection ; QFD ; social network ; deep learning ; control as a service ; warm forming ; automated surface inspection ; cloud-based control system ; innovative marketing tools ; Internet of Things (IoT) ; flower pollination algorithm ; HED ; edge computing ; predictive analytics ; BIM ; digital platforms ; industrial big data ; energy flexibility ; impacts marketing innovations ; intellectualization of industrial information ; economic recession ; 3D mesh reconstruction ; demand-side management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; information filter ; out-of-sequence ; Hellinger distance ; coefficient of determination maximization strategy ; uncertainty measure ; embedded systems ; Internet of things (IoT) ; random delays ; adaptive distance function ; random finite set ; Dempster–Shafer evidence theory (DST) ; safe trajectory ; health reliability degree ; dynamic optimization ; state probability approximation ; sensors bias ; multi-environments ; belief entropy ; quaternion ; closed world ; Gaussian process regression ; Gaussian mixture model (GMM) ; intelligent transport system ; multirotor UAV ; multi-sensor system ; attitude ; time-domain data fusion ; precision landing ; Industry 4.0 ; magnetic angular rate and gravity (MARG) sensor ; uncertainty ; unscented information filter ; data classification ; high-definition map ; global information ; inconsistent data ; extended belief entropy ; sensor system ; Steffensen’s iterative method ; SLAM ; the Range-Range-Range frame ; evidential reasoning ; belief functions ; powered two wheels (PTW) ; electronic nose ; particle swarm optimization ; grey group decision-making ; user experience platform ; complex surface measurement ; DoS attack ; extended Kalman filter ; ICP ; Gaussian density peak clustering ; artificial marker ; random parameter matrices ; optimal estimate ; local structure descriptor ; object classification ; domain adaption ; networked systems ; expectation maximization (EM) algorithm ; attitude estimation ; Gaussian process model ; least-squares smoothing ; target positioning ; RFS ; spectral clustering ; maintenance decision ; multi-target tracking ; GMPHD ; time-distributed ConvLSTM model ; non-rigid feature matching ; unknown inputs ; cardiac PET ; subspace alignment ; gradient domain ; multi-sensor measurement ; data fusion ; Bar-Shalom Campo ; Kalman filter ; signal feature extraction methods ; sensor data fusion algorithm ; distributed architecture ; predictive modeling techniques ; Gaussian mixture model ; self-reporting ; deep learning ; mutual support degree ; security zones ; sensor array ; soft sensor ; aircraft pilot ; projection ; vehicle-to-everything ; distributed intelligence system ; square-root cubature Kalman filter ; information fusion ; evidence combination ; LiDAR ; feature representations ; multi-sensor information fusion ; linear constraints ; galvanic skin response ; decision-level sensor fusion ; most suitable parameter form ; Pignistic vector angle ; SINS/DVL integrated navigation ; fault diagnosis ; facial expression ; yaw estimation ; dual gating ; multi-sensor data fusion ; multisensor system ; A* search algorithm ; data fusion architectures ; drift compensation ; augmented state Kalman filtering (ASKF) ; manifold ; nested iterative method ; data preprocessing ; interference suppression ; conflicting evidence ; sonar network ; Gaussian process ; health management decision ; state estimation ; eye-tracking ; high-dimensional fusion data (HFD) ; MEMS accelerometer and gyroscope ; multitarget tracking ; gaussian mixture probability hypothesis density ; integer programming ; image registration ; Dempster–Shafer evidence theory ; linear regression ; data association ; nonlinear system ; covariance matrix ; multi-source data fusion ; fuzzy neural network ; least-squares filtering ; fire source localization ; network flow theory ; weight maps ; camera ; plane matching ; calibration ; unmanned aerial vehicle ; fixed-point filter ; workload ; intelligent and connected vehicles ; mimicry security switch strategy ; alumina concentration ; the Range-Point-Range frame ; spatiotemporal feature learning ; distributed fusion ; user experience evaluation ; image fusion ; vehicular localization ; sensor fusion ; vibration ; parameter learning ; weighted fusion estimation ; data registration ; pose estimation ; surface quality control ; trajectory reconstruction ; land vehicle ; square root ; Deng entropy ; multi-focus ; EEG ; low-cost sensors ; sensor fusing ; sensor data fusion ; packet dropouts ; estimation ; industrial cyber-physical system (ICPS) ; multi-sensor time series ; multi-sensor network ; Human Activity Recognition (HAR) ; transfer ; multisensor data fusion ; convergence condition ; interaction tracker ; acoustic emission ; Covariance Projection method ; mix-method approach ; orthogonal redundant inertial measurement units ; sematic segmentation ; Surface measurement ; conflict measurement ; user experience measurement ; observable degree analysis ; open world ; novel belief entropy ; cutting forces ; machine health monitoring ; Bayesian reasoning method ; orientation ; surface modelling ; hybrid adaptive filtering ; supervoxel ; RTS smoother ; Dempster-Shafer evidence theory (DST) ; fast guided filter. ; multi-sensor joint calibration ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Alternative treatment modes for antibiotic-resistant bacterial pathogens have become a public health priority. Bacteriophages are bacterial viruses that infect and lyse bacterial cells. Since bacteriophages are frequently bacterial host species-specific and can often also infect antibiotic-resistant bacterial cells, they could represent ideal antimicrobials for fighting the antibiotic resistance crisis. The medical use of bacteriophages has become known as phage therapy. It is widely used in Russia, where phage cocktails are sold in pharmacies as an over-the-counter drug. However, no phage product has been registered for medical purposes outside of the former Soviet Union. The current Special Issue of Viruses contains a collection of papers from opinion leaders in the field who explore hurdles to the introduction of phage therapy in western countries. The articles cover diverse topics ranging from patent to regulatory issues, the targeting of suitable bacterial infections, and the selection and characterization of safe and efficient phage cocktails. Phage resistance is discussed, and gaps in our knowledge of phage–bacterium interactions in the mammalian body are revealed, while other articles explore the use of phages in food production and processing.
    Keywords: QH301-705.5 ; QR1-502 ; Q1-390 ; alginate ; abortive infection ; n/a ; bacterial resistance ; bacteriophages ; ATMP ; MALDI-MS ; adaptation ; Bacteriophage ; horizontal gene transfer ; adaptive immunity ; co-evolution ; Listeria ivanovii ; personalised medicines ; pH stability ; phage-human host interaction ; vB_SauM-fRuSau02 ; antimicrobial resistance ; phagodisinfection ; biofilm ; capsule depolymerase ; animal model ; phage cocktails ; Enterococcus ; cases report ; zoonosis ; resistance ; magistral formula ; experimental therapy ; Belgium ; phage therapy ; E. faecalis ; nontraditional antibacterial ; industrial phage application ; Democratic Republic of the Congo ; OrthoMCL ; Germany ; high-throughput sequencing ; antimicrobial ; infection ; antibiotic therapy ; Kayvirus ; phages ; Twortlikevirus ; bacterial disease ; human host ; Pseudomonas aeruginosa ; phage ; multidrug-resistant bacteria ; bacterial infection ; Salmonella Typhi ; rhamnopolysaccharide ; compassionate use ; crop production ; compounding pharmacy ; antimicrobial resistance (AMR) ; best practices ; bacteriophage efficacy ; phage sensitivity ; antibiotic-resistance ; antibiotic ; lysins ; PTMP ; Escherichia coli ; typhoid fever ; patent landscape ; phage preparation ; innate immunity ; anti-phage antibodies ; immunology ; Staphylococcus aureus ; global health ; clinical trial ; adsorption ; Brussels ; phage-resistance ; Galleria mellonella ; science communication ; history of science ; virus–host interactions ; foodborne illness ; prophage ; resistance management ; biofilms ; IND ; immunomodulation ; frequency of resistance ; capsule ; gastrointestinal tract ; phage-host interactions ; disinfection ; production ; bacteriophage therapy ; bacteriophage ; Staphylococcus ; magistral preparation ; extended-spectrum beta lactamases (ESBL) ; Viral proteins ; antibiotic resistance ; genomics ; phage biocontrol ; therapy ; target selection ; viral genomes ; evolution ; pharmaceutical paradigm shift ; personalized medicine ; pharmaceutical legislation ; food safety ; regulation ; virulence ; developing countries ; infectious disease ; regulatory framework ; sustainable agriculture ; Klebsiella pneumoniae ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
    Language: English
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  • 98
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 99
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    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: Urbanization is a dominant driver of landscape transformation across the world, with cities representing centers of economic and socio-cultural development. Today, more than 4.2 billion people live in urban areas, which represent ~3% of the Earth’s land area. By 2050, it is predicted this number will increase to 6.6 billion people (~70% of the predicted global population). As the human population grows, cities around the globe will continue to expand, increasing the demand for food and services. Within cities, urban forests provide multiple nature-based solutions, as well as other environmental services and socio-economic benefits, such as heat mitigation and social integration. Urban forests are also important for coping with psychological stress during events, such as the COVID-19 pandemic. Therefore, urban forests are a priority for basic and applied forest research because they are intimately connected with people’s physical, cultural, and economic well-being in the urban environment, and can also be important reservoirs of biodiversity. To promote a better understanding of urban forests and landscape ecology, this book in “Urban Forests and Landscape Ecology” compiled research set in urban forests and focused on some spatially explicit processes. Studies presented in this book are highly interdisciplinary and use a wide range of research approaches. This book present nine scientific publications from global urban forests demonstrating that these forests, as a nature-based solution, provide multiple environmental services and are crucial to improve urban livability and thereby the wellbeing of city dwellers.
    Keywords: aesthetics ; causal effects ; crown form ; foliage form ; urban forests ; urban forest ; NATURA 2000 area ; soundscape ; birds ; biological diversity ; ecosystem disservices ; Mediterranean region ; green infrastructure ; urban forest types ; indicators ; microclimate ; human thermal comfort ; outdoor thermal environment ; public health ; ecological services ; urban green space ; remote sensing ; deep learning ; convolutional neural network ; residual structure ; attention mechanism ; n/a ; urban biodiversity ; urban habitat quality ; InVEST model ; land surface temperature ; Moran’s I ; Zhengzhou ; social media data ; spatiotemporal utilization ; Shanghai ; ecological function ; landscape structure ; GIS ; air pollution alleviation ; accumulation on leaves ; PM2.5 ; encapsulated particles ; urban trees ; 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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  • 100
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Keywords: fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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