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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation.
    Keywords: B-spline neural networks ; adaptive power system control ; coordinated multiple controllers ; StatCom ; exact plate theory ; thick plate ; bending vibration ; partial differential operator theory ; gauge condition ; data-driven control ; reactive power compensation ; STATCOM ; voltage control ; voltage source converter ; quadrotor UAV ; artificial neural networks ; robust control ; Taylor series ; B-splines ; particle swarm optimization ; active suspension ; model predictive control ; linear parameter varying ; ellipsoidal set ; attraction sets ; quadratic stability ; algebraic identification ; rotor-bearing system ; finite element model ; rotordynamic coefficients ; 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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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Reprint Book provides recent studies addressing encapsulation systems for active compounds (e.g., drugs and food ingredients) to improve the quality of life around the world. The content may be helpful for the colleagues and students working on encapsulation of active compounds.
    Keywords: carboxymethyl chitosan ; mangosteen ; deodorant ; skin moisturizing ; trans-2-nonenal ; accelerated stability test ; guava ; carotenoids ; microencapsulation ; mucilage ; spray-drying ; aloe vera ; Opuntia ficus-indica ; ar-turmerone ; polymeric nanoparticles ; anticancer activity ; release study ; biodegradable polymers ; apple fiber ; trehalose ; sucrose ; blackberry phenolics ; blackberry volatiles ; starch ; Bisphenol A ; Moringa leaf extract ; encapsulating Moringa leaf extract ; nanoparticles ; alginate ; chitosan ; Ib-M peptides ; E. coli ; peptide stability ; polyethylene glycol methacrylate ; oregano ; phenolic compounds ; nanoencapsulation ; bioaccessibility ; curcumin ; zebrafish embryogenesis ; oxidative stress ; neuroprotection ; PCL nanoparticles ; paraquat ; grafted microparticles ; sodium hyaluronate ; crosslinked microparticles ; metronidazole adsorption ; adsorption isotherm ; adsorption kinetics ; metronidazole release ; polyelectrolyte ; complex coacervate ; polyamine ; stimulus-responsive materials ; controlled release ; encapsulation ; hybrids ; clay ; sodium alginate ; rosemary essential oil ; 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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  • 4
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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
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-08-08
    Description: This reprint focuses on both advanced metals and their alloys and the areas of physical and process metallurgy, materials science, and processing techniques. Specific areas of interest also include titanium/nickel-based superalloys, intermetallics, advanced metallic materials, nanomaterials, metal matrix composites, functional materials, related synthesis and processing techniques, finite element modelling, statistical analysis, physical/mechanical property characterization, experimental validation, and other relevant phenomena. Physical metallurgy is important in the design and optimization of advanced materials with superior physical and mechanical properties through microstructural modifications and processing techniques. The goal of reprint was to bring together recent progress, novel technologies, and advanced equipment for the design and development of advanced metals and alloys and provide guidelines/benchmarks for further research in related areas. Composites, intermetallics, and nanomaterials as well as functional materials will be also included. Some of the recent advances in the field of advanced metals and alloys include novel material processing techniques, manufacturing methods and theories, microstructural characterization, modelling development, and advanced equipment. Conventional and nonconventional processes related to machining, forming, laser processing, additive/subtractive manufacturing, surface modification, and the solidification of high-performance alloys/metals are also included.
    Keywords: Fe-rich Al–Si alloy ; β-Al5FeSi phase ; cooling rate ; melt spinning ; microstructure ; strengthening mechanisms ; Zn-Mg-Ti alloy ; biodegradable metals ; mechanical properties ; cytotoxicity ; Fe-B-W alloy ; manganese ; aluminum ; molten zinc ; microanalysis ; corrosion ; hydrogenated–dehydrogenated titanium powder ; laser directed energy deposition ; mechanical property ; radio frequency plasma technique ; high entropy alloy ; bulk metallic glass ; similar element substitution/addition ; glass forming ability ; lattice distortion ; sapphire ; surface metallization ; deposition mechanism ; wettability ; low-temperature joining ; silver alloy bonding wire ; bonding strength ; vulcanization resistance ; cathodic passivation ; Mg–Nd alloy ; precipitate ; eutectic growth ; modelling and simulation ; recrystallization ; microstructure-property characterization simulation and modeling ; heat treatment and surface treatment ; TC4 alloy ; EBCHM ; aging treatment ; glass-forming ability ; corrosion behavior ; amorphous alloy ; phase transformation ; mechanical behavior ; corrosion wear resistance ; gear grinding ; white layer ; grinding temperature ; surface integrity ; AlSi10Mg alloy ; friction stir processing ; grain boundary ; texture ; dynamic recrystallization ; silver wire ; wire bonding ; chloride ions ; ion migration ; galvanic corrosion ; Cu-15Ni-8Sn alloys ; grain size ; solution treatment ; microalloying ; microstructural evolution ; laser-powder bed fusion ; MgAl2O4 ; TiB2 ; metallothermic reduction ; SHS powder metallurgy ; combustion wave propagation ; HSLA steel ; microstructural characterization ; laser welding ; thick plate ; corrosion resistance ; high entropy alloys ; lightweight ; magnesium alloys ; ultrasound treatment ; solution ; aging ; Mg17Al12 ; converter ; vortex ; flow field analysis ; numerical simulation ; steel ball ; skew rolling ; cold forming ; stainless steel ; copper–scandium CuSc ; copper alloy ; differential scanning calorimetry DSC ; precipitation kinetics ; cold-working ; cold-rolling ; activation energy ; Kissinger method ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
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  • 7
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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
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  • 8
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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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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
    Keywords: prallethrin ; insecticide ; spatial treatment ; mosquito fitness ; protection ; pyrethroids ; Aedes albopictus ; Culex pipiens ; life tables ; mosquito ; bite-proof garment ; model ; textile ; non-insecticidal ; physical barrier ; insecticide selection ; out-crossing ; strain authentication ; laboratory screening ; pyrethroid ; pyrethroid resistance ; insecticide resistance ; insecticide resistance management ; vector control ; malaria ; malaria control ; Anopheles ; host-seeking behavior ; insecticide exposure ; pathogen transmission ; Aedes aegypti ; Anopheles gambiae ; ATSB ; Culex quinquefasciatus ; Iroquois ; RNAi ; Saccharomyces cerevisiae ; yeast ; Anopheles mosquito ; fertility ; ovary development ; pyriproxyfen (PPF) ; side-effects ; machine learning ; image classification ; automated identification ; convolutional neural network ; insecticide-treated net (ITN) ; PBO ITN ; synergist ITN ; dual-AI ITN ; insecticide resistance management (IRM) ; method validation ; durability monitoring ; bioinsecticide ; disease transmission ; insecticide-resistance ; mosquito-borne disease ; mosquito control ; natural compounds ; phytochemical ; malaria vector ; insecticide treated nets ; cytochrome P450s ; kdr ; cuticular resistance ; deltamethrin ; imidacloprid ; bifenthrin ; β-cyfluthrin ; etofenprox ; α-cypermethrin ; λ-cyhalothrin ; thiacloprid ; mosquitoes ; Attractive Toxic Sugar Bait (ATSB) ; Attractive Targeted Sugar Bait (ATSB) ; diagnostic bioassay ; resistance monitoring ; insecticide-treated nets (ITN) ; strain characterisation ; method development ; product evaluation ; quality control (QC) ; dual active ingredients (dual-AI) ; bioefficacy ; IRS ; application technology ; broflanilide ; clothianidin ; pirimiphos-methyl ; WHO tube ; WHO tunnel test ; ITNs ; interceptor ; interceptor G2 ; membrane ; human arm ; rabbit ; bioassay ; bio-efficacy ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSB Biochemistry
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  • 12
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware.
    Keywords: wake-up receiver ; digital controller ; reliability ; electronic toll collection (ETC) system ; dedicated short range communication (DSRC) ; temperature compensation ; piezoresistive ; pressure sensor ; negative temperature coefficient ; ACE-Q100 ; CMOS ; epilepsy ; seizure ; multichannel neural recording ; feature extraction ; closed-loop neurostimulator ; low-power ; low-noise amplifier ; implantable medical device ; switched capacitor ; voltage converter ; wide load range ; multiphase operation ; variable frequency ; integrated circuits ; EEPROM reprogrammable fuses ; memory cells ; trimming techniques with fuses ; digital temperature sensor ; temperature sensor with digital serial interface ; asynchronous control logic ; successive approximation register (SAR) ; wireless access in vehicular environments (WAVE) ; low power consumption ; capacitive digital to analog converter (CDAC) ; CMOS neural amplifier ; AC coupling ; pseudoresistor ; nonlinear distortion ; area-efficient design ; sensor node ; power mode ; wireless sensor networks ; power management ; spiking neural network ; leaky integrate and fire ; neuromorphic ; artificial neural networks ; artificial intelligence ; image classification ; capacitance-to-digital converter ; iterative-delay-chain discharge ; CMOS capacitive sensor interface ; 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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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 15
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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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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-12-06
    Description: The second volume of the book contains the manuscripts that were accepted for publication in the MDPI Special Topic "Cyber Security and Critical Infrastructure" after a rigorous peer-review process. Authors from academia, government and industry contributed their innovative solutions, consistent with the interdisciplinary nature of cybersecurity. The book contains 16 articles, including an editorial that explains the current challenges, innovative solutions and real-world experiences that include critical infrastructure and 15 original papers that present state-of-the-art innovative solutions to attacks on critical systems.
    Keywords: Cybersecurity ; critical Infrastructures ; privacy preservation ; 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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  • 17
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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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  • 18
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.
    Keywords: supervised classification ; independent and non-identically distributed features ; analytical error probability ; empirical risk ; generalization error ; K-means clustering ; model compression ; population risk ; rate distortion theory ; vector quantization ; overfitting ; information criteria ; entropy ; model-based clustering ; merging mixture components ; component overlap ; interpretability ; time series prediction ; finite state machines ; hidden Markov models ; recurrent neural networks ; reservoir computers ; long short-term memory ; deep neural network ; information theory ; local information geometry ; feature extraction ; spiking neural network ; meta-learning ; information theoretic learning ; minimum error entropy ; artificial general intelligence ; closed-loop transcription ; linear discriminative representation ; rate reduction ; minimax game ; fairness ; HGR maximal correlation ; independence criterion ; separation criterion ; pattern dictionary ; atypicality ; Lempel–Ziv algorithm ; lossless compression ; anomaly detection ; information-theoretic bounds ; distribution and federated 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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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Information is key, which means that measurements are key. For this reason, this book provides unique insight into state-of-the-art research works regarding optical measurement systems. Optical systems are fast and precise, and the ongoing challenge is to enable optical principles for in-process measurements. Presented within this book is a selection of promising optical measurement approaches for real-world applications.
    Keywords: speckle photography ; in-process measurement ; deep rolling process ; generalized phase shifting interferometry ; dual-aperture common-path interferometer ; real-time optical instrumentation ; optomechatronic systems ; electrical steel ; optical coherence tomography ; OCT ; scanning ; process monitoring ; laser material processing ; spot compensation ; low coherence interferometry ; LCI ; wind lidar ; Doppler lidar ; bistatic ; metrology ; traceability ; wind energy ; meteorology ; diffraction grating ; grating pitch ; mode-locked femtosecond laser ; laser diffraction ; diffraction equation ; measurement uncertainty analysis ; image processing ; pattern recognition ; wind energy turbines ; turbulence wedges ; coherence scanning interferometry ; in-process application ; Mirau interferometer ; vibration compensation ; interferometric distance sensor ; optical path length modulation ; oscillating reference mirror ; hairpin ; laser welding ; semantic segmentation ; dilated convolution ; sdu-net ; spatter detection ; quality assurance ; fast prediction time ; in situ measurement ; optical metrology ; quality control ; interferometry ; fringe projection ; computational shear interferometry ; coherence function ; structure function ; additive manufacturing ; medium voltage switchgear ; SF6 alternatives ; UV-Vis spectroscopy ; gas mixing modeling ; multicomponent diffusion analysis ; explosion ; coal dust ; methane ; explosion suppression ; spectral characteristics ; explosion pressure ; radiation intensity ; free radicals ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Processing and Conversion of Oil and Gas: Modeling, Control, Simulation, and Optimization describes the core of the activity of petrochemical engineers, process controller engineers, industrial engineers, energy engineers, and researchers in the oil and gas field. This reprint explores the modeling, control, simulation, and optimization of new and revamped petrochemical processes using proven software. Thus, it offers novel illustrative examples, prospective applications, and solutions to improve these processes. This reprint aims to combine theoretical principles with examples modeled by commonly used simulation software employing steady-state or dynamic process simulation. Furthermore, applying numerical methods and optimization at both the theoretical and practical levels is within the scope of this reprint.
    Keywords: jet stability ; swirl ; twist ; dominant mode ; Brassica Napus ; fatty acid methyl esters ; 2-Ethyl-2-hydroxymethyl-1,3-propanediol ; viscosity ; batch reactor ; kinetics ; self-excited oscillation pulse jet ; nozzle ; large eddy simulation ; peak velocity ; cavitation number ; coal tar ; wash oil ; nitrogen-containing compounds ; indole ; formamide equilibrium extraction ; price bubbles ; bubble length ; petroleum products ; GSADF ; Pakistan ; pipeline safety ; risk classification ; pipeline failure ; fuzzy analytic hierarchy process ; pipeline risk assessment ; shale gas pipelines ; pressure gradient ; gas–liquid two-phase flow ; flow patterns ; Generalized Additive Model ; dimensionless numbers ; discrete element method ; optimal design ; simulation analysis ; anti-corrosion pill particles ; butyl acetate ; acetic acid ; n-butanol ; esterification ; membrane reactor ; reactive distillation ; amberlyst-15 catalyst ; energy efficiency ; economic evaluation ; methyl isobutyl ketone (MIBK) ; acetone self-condensation ; selective hydrogenation ; process development ; heat integration ; economic analysis ; nano-Pd/nano-ZnCr2O4 catalyst ; dimethyl carbonate ; dimethyl oxalate ; oxidative carbonylation ; azeotropic distillation ; profitability analysis ; 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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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
    Keywords: data envelopment analysis ; Kohonen self-organizing maps ; factor analysis ; multiple regression ; energy efficiency ; social media ; energy-consuming activities ; energy consumption ; machine learning ; ontology ; energy performance certificate ; heating energy demand ; buildings ; data mining ; classification ; regression ; decision tree ; support vector machine ; random forest ; artificial neural network ; open data ; electrification modelling ; Malawi ; OnSSET ; MESSAGEix ; reproducibility ; collaborative work ; open modelling and data ; data-handling ; integrated assessment modelling ; data pre- and post-processing ; space heating ; domestic hot water ; market assessment ; EU28 ; district heating ; data analytics ; big data ; forecasting ; energy ; polygeneration ; clustering ; kNN ; pattern recognition ; heating ; building stock ; heat map ; spatial analysis ; heat density map ; building performance simulation ; parametric modelling ; energy management ; model calibration ; Passive House ; energy planning ; energy potential mapping ; urban energy atlas ; urban energy transition ; energy data ; data-aware planning ; spatial planning ; open data analytics ; smart cities ; open energy governance ; urban database ; energy mapping ; building dataset ; energy modelling ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The Special Issue “Demand Response in Smart Grids” includes 11 papers on a variety of topics. The success of this Special Issue demonstrates the relevance of demand response programs and events in the operation of power and energy systems at both the distribution level and at the wide power system level. This reprint addresses the design, implementation, and operation of demand response programs, with focus on methods and techniques to achieve an optimized operation as well as on the electricity consumer.
    Keywords: demand response ; population evolution ; irrational behavior ; Markov state ; non-cooperative game ; solid electric thermal storage ; cyber–physical model ; K-means ; support vector machine ; neural network ; data analysis ; demand response (DR), load profile clustering ; k-means ; targeting of customer ; aggregator ; ramp period ; real-time simulation ; multi-objective optimization ; social welfare metrics ; energy allocation ; load disaggregation ; percentage total harmonic distortion and non-intrusive identification of load pattern ; charging strategy ; optimization ; electricity pricing ; electric vehicle ; flexibility ; flexibility market ; home energy management system ; energy flexibility ; industrial energy management ; demand side management ; control approaches ; energy management ; optimization method ; objective function ; control constraints ; Demand Response ; dynamic thermal rating ; hosting capacity ; transformer ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.
    Keywords: initial trajectory ; trajectory optimization ; Bézier surface ; robotics ; open FPGAs ; robot control ; surgical robotics ; human–machine interaction ; autonomous guidance ; low-cost platform ; FPGA ; S-curve ; motion control ; SoC ; telemanipulation ; haptics ; machine learning ; gesture recognition ; upper limb rehabilitation robot ; particle swam optimization (PSO) ; artificial bee colony (ABC) ; Ziegler Nichols ; Maximum sensitivity ; ontology ; robot task planning ; knowledge base ; knowledge representation ; industrial collaborative robots ; shared robotic tasks ; physical human–robot interaction ; human intention recognition ; time series classification ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
    Keywords: carbon-ion radiotherapy ; head-and-neck tumors ; squamous cell carcinoma ; radiosensitivity ; relative biological effectiveness ; lung cancer ; radiotherapy ; radiotherapy monitoring ; radiation-induced lung injury ; RILI ; pneumonitis ; radiation-induced lung fibrosis ; RILF ; circulating biomarkers ; microRNA ; micronuclei ; uterine cervical cancer ; cGAS ; STING ; abscopal effect ; immunotherapy ; PBMCS ; micronucleus assay ; biological dosimetry ; human blood ; genotoxicity tests ; ionizing radiation ; biomarkers ; dicentric assay ; gamma H2AX foci assay ; health surveillance analyses ; clonogenic assays ; methods ; plating ; cancer ; radiation ; head and neck cancer ; exosomes ; serum ; metabolomics ; GC/MS ; biodosimetry ; chromosome aberrations ; normal tissue toxicity ; predictive tests ; normal tissue ; biomarker ; protein ; immune infiltrate ; stroma ; tumour microenvironment ; proteomics ; telomeres ; chromosomal instability ; inversions ; prostate cancer ; IMRT ; machine learning ; individual radiosensitivity ; late effects ; personalized medicine ; liquid biopsy ; circulating tumour cells ; extracellular vesicles ; microRNAs ; immune system ; inflammation ; n/a
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  • 28
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the implementation of sustainable concrete systems has been a topic of great interest in the field of construction engineering worldwide, as a result of the large and rapid increase in carbon emissions and environmental problems resulting from traditional concrete production and industry. For example, the uses of supplementary cementitious materials, geopolymer binder, recycled aggregate and industrial/agricultural wastes in concrete are all approaches to building a sustainable concrete system. However, such materials have inherent flaws due to their variety of sources, and exhibit very different properties compared with traditional concrete. Therefore, they require specific modifications in preprocessing, design, and evaluation before use in concrete. This reprint, entitled “Advances in Sustainable Concrete System”, covers a broad range of advanced concrete research in environmentally friendly concretes, cost-effective admixtures, and waste recycling, specifically including the design methods, mechanical properties, durability, microstructure, various models, hydration mechanisms, and practical applications of solid wastes in concrete systems.
    Keywords: high-strength concrete ; energy evolution ; elastic strain energy ; brittleness evaluation index ; concrete ; humidity ; moisture absorption ; moisture desorption ; numerical simulation ; acoustic emission ; AE rate process theory ; corrosion rate ; damage evolution ; axial load ; precast concrete structure ; lattice girder semi-precast slabs ; bending resistance ; FE modelling ; concrete damage ; GSP ; high strength ; hydration ; strength ; penetrability ; rice husk ash ; sustainable concrete ; artificial neural networks ; multiple linear regression ; eco-friendly concrete ; green concrete ; sustainable development ; artificial intelligence ; data science ; machine learning ; bagasse ash ; mechanical properties ; natural coarse aggregate ; recycled coarse aggregate ; two-stage concrete ; materials design ; recycled concrete ; crumb rubber concrete ; crumb rubber ; NaOH treatment ; lime treatment ; water treatment ; detergent treatment ; compressive strength ; materials ; adhesively-bonded joint ; temperature aging ; residual strength ; mechanical behavior ; failure criterion ; steel slag powder ; compound activator ; mortar strength ; orthogonal experiment ; GM (0, N) model ; ultrafine metakaolin ; silica fume ; durability ; fiber-reinforced concrete ; damage mechanism ; uniaxial tension ; cracked concrete ; crack width ; crack depth ; tortuosity ; sustainability ; concrete composites ; sulfate and acid attacks ; WPFT fibers ; coal gangue ; gradation ; cement content ; unconfined compressive strength ; freeze–thaw cycle ; minimum energy dissipation principle ; three-shear energy yield criterion ; damage variable ; constitutive model ; phosphorus slag ; limestone ; sulphate-corrosion resistance ; volume deformation ; blast furnace ferronickel slag ; alkali-activated material ; dosage of activator ; reactive powder concrete ; beam-column joint ; FE modeling ; crack ; cementitious gravel ; fly ash ; age ; optimal dosage ; bamboo ; sawdust ; pretreatment ; bio-based material ; mechanical property ; self-compacting concrete ; supplementary cementitious materials ; hydration mechanisms ; microstructure ; fresh properties ; synthetic polymer ; high temperature ; bentonite-free drilling fluid ; rheology ; filtration ; FRP reinforced concrete slab ; punching shear strength ; SHAP ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; simulation ; high-frequency ; artificial flashover tests ; wide bandgap power modules ; tracking ; electrical field strength ; fast-rise square wave voltages ; FDTD simulation ; cable joint ; corona discharge ; feature selection ; post insulator ; earthing systems ; wind speed ; surface discharge ; oil/paper insulation ; oil-paper insulation ; high-magnitude currents and impulse polarity ; UFVM ; Tettex 9520 ; electrical tree ; flashover characteristics ; composite insulator ; partial discharge ; numerical modeling ; saline mechanism ; thermal parameters ; space charge density ; seasonal ; ion flow field ; denoising ; DDX 9121b ; temperature ; transformer asset management ; cavity discharge ; space/interface charge ; insulation health index ; heat transfer model ; leakage current ; machine learning ; partial discharges (PD) ; RF signal ; flashover ; high impulse conditions ; grounding electrodes ; generalized finite difference time domain ; curve fitting ; grounding ; plasma discharge ; outdoor insulators ; flashover dynamic model ; wavelet transform ; degradation ; thermal properties ; bipolar charge transport model ; UHF sensor ; cable ; random walk theory ; tracking test setup ; GIL ; pressure ; modelling ; non-uniform pollution between windward and leeward sides ; calibrator ; secondary arc ; polymeric insulation ; optical-UHF integrated detection ; shoreline ; dry band arcing ; photoelectric fusion pattern ; DDX 8003 ; XLPE ; silicone gel ; partial discharge modeling ; electric field analysis ; NSCT ; electrode’s geometry ; gas ; Comsol Multiphysics ; fast-impulses ; laying modes ; ageing ; cable ampacity ; residual resistance formulation ; finite element analysis ; thermal effect ; hydrophobicity ; soil resistivity ; charge simulation method ; short-circuit discharge ; dry band formation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Keywords: subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: The book provides a comprehensive overview of nanostructures and methods used to design biosensors, as well as applications for these biosensor nanotechnologies in the biological, chemical, and environmental monitoring fields. Biological sensing has proven to be an essential tool for understanding living systems, but it also has practical applications in medicine, drug discovery, food safety, environmental monitoring, defense, personal security, etc. In healthcare, advancements in telecommunications, expert systems, and distributed diagnostics are challenging current delivery models, while robust industrial sensors enable new approaches to research and development. Experts from around the world have written five articles on topics including:Diagnosing and treating intraocular cancers such as retinoblastoma; Nanomedicine in cancer management; Engineered nanomaterials in osteosarcoma diagnosis and treatment; Practical design of nanoscale devices; Detect alkaline phosphatase quantitatively in clinical diagnosis; Progress in the area of non-enzymatic sensing of dual/multi biomolecules; Developments in non-enzymatic glucose and H2O2 (NEGH) sensing; Multi-functionalized nanocarrier therapies for targeting retinoblastoma; Galactose functionalized nanocarriers; Sensing performance, electro-catalytic mechanism, and morphology and design of electrode materials; Biosensors along with their applications and the benefits of machine learning; Innovative approaches to improve the NEGH sensitivity, selectivity, and stability in real-time applications; Challenges and solutions in the field of biosensors.
    Keywords: advanced nanomaterials ; dual in-line sensing ; bi-functional properties ; non-enzymatic ; electrochemical sensing ; glucose and H2O2 ; nanotechnology ; bone diseases ; drug delivery ; nanocarriers ; osteosarcoma ; tumor-targeted ; retinoblastoma ; rare cancer ; surface-tailored multi-functionalized nanoparticles ; metallic nanoparticle ; tumor-suppressor gene mutation ; alkaline phosphatase ; terminal protection ; copper nanoparticle ; fluorescence ; biosensor ; electrochemical ; sensitivity ; amperometric ; voltammetric ; food quality monitoring ; machine learning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: With the announcement of the European Green Deal, which defines a set of policy initiatives aimed at achieving a 50–55% reduction in carbon emissions by 2030 and making Europe climate neutral in 2050, the challenge of energy transition becomes even more critical. The transformation of national energy systems towards sustainability is progressing throughout all Central and Eastern European (CEE) countries, yet the goals and results are different. Most EU Member States have made substantial progress towards meeting their long-term commitments of emissions reductions. However, some bloc members have struggled to meet their obligations. An effective energy transition requires the introduction of appropriately designed policy instruments and of robust economic analyses that ensure the best possible outcomes at the lowest costs for society. In this context, this Special Issue aims to bring into the discussion the challenges that CEE countries have to face and overcome while undergoing energy transition.
    Keywords: climate change ; food security ; grand challenges ; multiple factor analysis ; regional studies ; renewable energy ; sustainable development goals ; support systems ; energy policy ; cogeneration ; capacity market ; individual cogeneration premium ; trade globalization ; financial globalization ; CO2 emissions ; real GDP per capita ; bootstrap panel Granger causality ; EU transition economies ; photovoltaics ; renewable energy sources ; “My Electricity” ; renewable energy policy ; Poland ; “Mój Prąd” ; grant ; renewable energy grants ; renewable energy support ; economic appraisal ; social discount rate ; Ramsey formula ; consumption rate of interest ; social opportunity cost ; renewable energy sources (RES) ; green energy transformation ; sustainable development ; energy cooperatives ; coopetition ; Renewable Energy Communities ; management ; households ; energy consumption ; platform ; EU ETS ; CO2 ; emissions trading ; energy companies from Central and Eastern Europe ; decarbonisation ; energy transition ; low-carbon technology ; climate and energy policy ; indicators ; biomass ; electric vehicle ; electromobility ; energy balance ; efficiency engines ; clustering ; charging stations ; data analysis ; hydrogen cells ; energy law ; customer preferences ; electric car ; PHEV ; driving technique ; limestone sorbents ; flue gas desulphurisation ; FGD gypsum ; coal-fired power plants ; climate policy ; capacity adequacy ; linear programming ; COVID-19 pandemic ; lockdown ; electricity demand profiles ; Polish energy mix ; energy transition in Poland ; social acceptance ; carbon emissions ; fleet electrification ; sustainable mobility ; fleet management ; energy mix ; onshore wind ; risk assessment ; cash-flows ; discount rate ; cost of capital ; cost of equity ; district heating ; decarbonization ; energy efficiency ; Hubgrade ; remuneration mechanism ; power generation ; new investments ; combined heat and power ; optimization ; thermal energy storage ; uncertainty ; 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: 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-11-17
    Description: This book focuses on the modelling and the design process of gas bearings, on the experimental validation of such models, and on their applications. In particular, recent developments about foil bearings, aerostatic bearings, porous bearings, and non-contact precision positioning systems are shown.
    Keywords: aerostatic spindle ; fluid–structure interaction ; restrictor geometrical parameters ; structural dimension ; optimal design ; bump foil gas bearing ; thermo-hydrodynamic model ; temperature field ; thermal characteristics analysis ; foil bearing ; turbo machinery ; gas bearing ; industrial application ; air-bearing ; precision positioning ; tribotronics ; rotation accuracy ; roundness ; cylindricity ; dispersion coefficient ; gas bearings ; porous materials ; rotordynamics ; force coefficients ; aerostatic journal bearings ; porous bearing ; annular-thrust bearing ; numerical simulation ; finite element method ; dynamic coefficients ; eccentricity ; tilting ; tilting velocity ; partial arc ; PCB spindles ; dynamic identification ; logarithmic decrement method ; complex exponential method ; half-power method ; damping factor identification ; rigid rotor ; modal analysis ; 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: 2022-05-06
    Description: This book presents 22 of the accepted presentations at the 1st International Electronic Conference on Algorithms which was held completely online from September 27 to October 10, 2021. It contains 16 proceeding papers as well as 6 extended abstracts. The works presented in the book cover a wide range of fields dealing with the development of algorithms. Many of contributions are related to machine learning, in particular deep learning. Another main focus among the contributions is on problems dealing with graphs and networks, e.g., in connection with evacuation planning problems.
    Keywords: 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: 2022-03-21
    Description: One of the great challenges of contemporary society is establishing a sustainable way of life in harmony with the environment without compromising economic growth and technological development. On the other hand, the increase in the world population has driven per capita consumption, and consequently, the generation of waste. Because of this, new materials are being developed from different types of waste. This Special Issue aims to highlight and share recent scientific findings in the area of “New Environmentally Friendly and Sustainable Materials” manufactured from different material types (polymers, ceramics, metallics, and composites) and urban, industrial, mining and agricultural wastes. Moreover, scientific topics such as improving performance and durability, materials characterization, hybrid materials, foams and porous materials, trends and advances, and mechanical, electrical, magnetic, optical, and thermal properties will also be accepted.
    Keywords: palygorskite ; adsorption ; anionic dye ; cationic dye ; water treatment ; perlite tailings ; aggregate ; alkali–silicate reaction ; ceramic residue ; alkaline activation ; experimental design ; durability tests ; kaolin ; solid residues ; pozzolanic activity ; cement mortar ; carbonation ; poly (lactic acid) ; high-density biopolyethylene ; bioblends ; compatibilization ; scheelite tailings ; sustainable ceramic mass ; red ceramic ; firing parameters ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The aim of this Special Issue is to gather recent advances and development in target tracking techniques to determine how they can be adapted for modern radar and sonar systems. After peer review, 17 articles in related areas have been accepted for publishing in this Special Issue. The published articles cover a range of topics and applications central to target tracking. There are eight papers about general multi-target tracking, including the topics of joint tracking and classification [3], adaptive estimation using clutter measurement probability [6], joint localization and tracking [7], extended target tracking [8], tracking with smoothing [11], DOA tracking [12], tracking under low detection probability [14], and sonar tracking and interception [17]. Three papers address multi-sensor multi-target tracking methods. Specifically, a multi-target estimating method for pulsed radar systems is proposed in [2], a joint dwell time and bandwidth optimization method in a radar network is proposed in [4], a and multiple marine ship tracking method with unknown backgrounds is presented in [9]. There are 2 papers [10,15] on the problem of target assignment in multi-sensor multi-target tracking. Moreover, Mallick et al. considered measures of nonlinearity of a polynomial curve in two dimensions [1], Zhao et al. explored the use of calibration targets for which the positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors [13], and Li et al. proposed an algorithm to apply the frequency diversity technique to passive azimuth estimation in [16].
    Keywords: Target tracking ; target detection ; radar system ; sonar system ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: A collection of 18 scientific papers written in honor of Professor Karlheinz Schwarz's 80th birthday. The main topics include spectroscopy, excited states, DFT developments, results analysis, solid states, and surfaces.
    Keywords: density functional theory ; Coulomb systems ; excited states ; nodal variational principle ; DFT ; anatase TiO2(101) surface ; adsorption energy ; Bader charge ; helium atom ; screened Coulomb potential ; variational Monte Carlo method ; Lagrange mesh method ; comparison theorem ; TD-DFT ; MC-PDFT ; Lie–Clementi ; Colle–Salvetti ; OLEDs ; subphthalocyanines ; UV–visible spectra ; axial substituents ; peripheral substituents ; time-dependent DFT ; hexatetra-carbon ; electrical properties ; molecular aggregates ; singlet excitons ; triplet excitons ; TDDFT ; charge-transfer states ; charge-resonance states ; Frenkel states ; localized excitations ; diabatic states ; adiabatic states ; semiconductors ; oscillator strength ; hybrid exchange-correlation functional ; non-local potential ; statistics ; methods comparison ; benchmarking ; band gaps ; atomization energy ; DFT codes ; electronic structure calculation ; numerical accuracy and precision ; kinetic functional ; Yukawa potential ; periodic DFTB ; deMonNano ; graphene ; graphite ; benzene dimers ; deposited benzene ; supported clusters ; weighted mulliken charges ; LAPW method ; APW+lo method ; all-electron DFT ; density matrix functional embedding ; density-functional theory ; householder transformation ; He atomic basis sets ; helium dimer ; He2 potential well ; correlation energy ; complete basis set ; sigma basis set ; atomic multiplet theory ; crystal/ligand-field theory ; coordination compounds ; electronic structure ; Cu2OCl2 ; Cu2OBr2 ; Cu2OI2 ; oxyhalides ; magnetic couplings ; Néel temperature ; chemical pressure ; NMR ; machine learning ; zeolites ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNR Physical chemistry
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    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: 2023-12-21
    Description: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe chronic health condition that is often misunderstood or ignored by health establishments. The lack of definitive diagnostic markers to separate ME/CFS patients from the healthy population as well as from other chronic disorders is problematic for both health professionals and researchers. A consortium of Australian researchers gathered to systematically understand ME/CFS, ranging from a deep analysis of clinical and pathology data to metabolomic profiles and the investigation of mitochondrial function. From this broad collaboration, a number of compelling insights have arisen that may form the basis of specific serum, blood, and/or urinary biomarkers of ME/CFS. This Special Edition reports on a conference centred on these biomedical discoveries, with other contributions, with a translation focus for predictive markers for ME/CFS diagnosis. By supporting health professionals with developments in diagnostics for this condition, the patients and their families will hopefully benefit from an improved recognition of the biomedical underpinnings of the condition and will be better able to access the care that is urgently required. This Special Edition contains a mix of speaker submissions and other accepted manuscripts that contributed to our objective of advancing biomedical insights to enable the accurate diagnosis of ME/CFS.
    Keywords: R5-920 ; RM1-950 ; fatigue syndrome ; n/a ; work rehabilitation ; tryptophan metabolism ; substrate inhibition ; myalgic encephalomyelitis ; 3-dioxygenase ; ME (Myalgic Encephalomyelitis) ; assessment ; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) ; muscles ; hypoacetylation ; circadian rhythm ; immune system ; chronic ; CFS (Chronic Fatigue Syndrome) ; energy metabolism ; ME/CFS ; immunological ; cytokine ; bistability ; diagnosis ; biomarker ; symptoms ; kynurenine pathway ; inflammation and immunity ; metabolism ; neuro-inflammation ; pathology ; signaling ; exercise ; Epstein Barr virus ; methylhistidine ; hypothalamic–pituitary–adrenal axis ; potential biomarkers ; critical point ; inflammation ; histone deacetylation ; participatory research ; neurology ; neuroimmune ; activin ; mitochondria ; patient-driven questionnaire ; medical retirement ; machine learning ; prognosis ; gut microbiota ; post-exertional malaise ; chronic fatigue syndrome ; mathematical model ; reference intervals ; diagnostic biomarker ; indoleamine-2 ; bic Book Industry Communication::M Medicine
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    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: Due to the intensive development of the global economy, many problems are constantly emerging connected to the safety of ships’ motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability. One of the most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc. This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels.
    Keywords: collision avoidance ; ship domain ; fuzzy inference ; collision risk ; early warning system ; marine vessel ; tracking controller ; stability ; functional ; optimal damping ; fin stabilizer ; ship turning ; heel/roll reduction ; L2-gain ; uncertainty ; non-linearity ; ship motion control ; path-following ; guidance algorithm ; nonlinear feedback ; AIS Data ; trajectory prediction ; waterway transportation ; neural networks ; autonomous navigation ; multi-joint autonomous underwater vehicle (MJ-AUV) ; 3-dimensional modeling ; LQR ; LESO ; multicriteria route planning ; genetic algorithm ; particle swarm optimization ; oceanic meteorological routing ; cooperative game theory ; supply chain management ; supply disruption ; unmanned surface vehicle ; Guidance, Navigation and Control ; course keeping ; adaptive sliding mode ; unmanned surface vehicle (USV) ; system identification ; traditional neural network ; physics-informed neural network ; zigzag test ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Water resource systems planning and management issues are often very complex. The pressures on water resources are increasing with the expanding scale of global development involving ecological and hydrological consequences in river basins and groundwater aquifers, and water-quality deterioration. All this leads to the increasing need for investigating the effects of different human influences and impacts on the hydrological regime and on water quality like as land-use changes, climatic variability and climate changes, and intensified water and land-use practices. The Special Issue “Advances in Flow Modeling for Water Resources and Hydrological Engineering” presents a collection of scientific contributions that provides a sample of the state-of-the-art and forefront research in this field. In particular, basin-wide water resources planning, watershed management, flood forecasting, droughts, climate change impacts on flood risk and water resources, reservoir operation and management, river morphology and sediment transport, river water quality, and irrigation were the main research and practice targets that the papers published in this Special Issue aimed to address.
    Keywords: stream discharge ; near-natural catchment ; trend analysis ; NW Spain ; field-scale hydrological models ; DRAINMOD ; tile drainage ; nitrate leaching ; climate change ; venturi flume ; CFD ; OpenFOAM ; RANS ; turbulence model ; numerical simulation ; Parshall flume ; water balance ; Thornthwaite–Mather method ; Python ; serverless computing approach ; watershed hydrology ; Yukon River plume ; river discharge ; sediment load ; flocculation ; plunging ; underflow ; flood ; geological categories ; probability ; Medvednica Mt. ; Croatia ; numerical model ; shallow water equations ; dam break ; dry and wet beds modeling ; river flow ; open channels ; eddy viscosity ; parabolic profile ; streamwise velocity distribution ; turbulent kinetic energy (TKE) ; mixing length ; log law ; log wake ; hydrological modeling ; streamflow ; SWAT ; Venturi flume ; nonlinear model ; burned areas ; hydrological modelling ; infiltration capacity ; SCS-CN ; post-fire ; shock wave ; spillway ; spillway pier ; flat chute ; physical modeling ; hydrology ; tiling ; subsurface flow ; Iowa ; variational ensemble forecasting ; hydrologic processing strategies or hypotheses ; SR2MR streamflow forecasting ; real-time hydrologic forecasting system ; satellite precipitation products ; multi models ; best streamflow prediction ; inverse variance weighting ; inverse probability weighting ; representative concentration pathways 4.5 and 8.5 ; modified Mann–Kendall trend test ; Ziway Lake Basin ; Rift Valley ; Ethiopia ; maximum precipitation ; maximum flow ; gravel bed rivers ; skin friction ; flow resistance ; bed forms ; energy slope ; boundary layer characteristics ; abrupt negative step ; hydraulic jump ; energy loss ; momentum closure ; Boussinesq equations ; specified intervals ; MODIS ; evapotranspiration ; multi-variable calibration ; regional flood frequency ; ungauged catchments ; direct rainfall modelling ; headwater catchments ; Australia ; drought ; water ; water resources modelling ; flood forecast ; climate-change impacts ; river quality ; river morphology ; watershed management ; reservoir management ; 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: 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: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-24
    Description: This reprint contains contributions focusing on recent developments in the design, synthesis, and characterization of nanocatalysts intended for applications in environmental protection and low carbon footprint power generation processes thanks to the overall effort of scientists and researchers for a cleaner and more sustainable future. New synthetic approaches to the production and in-depth characterization of innovative nanostructured composites and hybrid materials with well-controlled textural and surface chemistry properties that give performance advantages in a variety of important environmental and energy applications such as CO2 utilization/recycling, hydrogen and syngas production, biosensing, and biocatalysis as well as in ways to obtain useful materials from waste are included, among others. This reprint is the result of one of the cutting-edge Special Issues in the field of Nanoscience and Nanotechnology organized by Nanomaterials to celebrate its 10th anniversary.
    Keywords: nanocarbon ; rocket fuels ; furfuryl alcohol ; fuming nitric acid ; waste ; hypergolics ; carbon materials ; CO2 methanation ; bimetallic catalysts ; Ni-based catalysts ; promoters ; alloy nanoparticles ; bimetallic synergy ; hybrid nanoflowers ; biosynthesis ; influencing factors ; biosensing cues ; bio-catalysis ; propane ; steam reforming ; hydrogen production ; perovskite ; ruthenium ; rhodium ; La2O2CO3 ; stability ; propane steam reforming ; H2 production ; Ni ; TiO2 ; CeO2 ; YSZ ; ZrO2 ; Al2O3 ; drifts ; n/a ; HDO reaction ; transition metal phosphides ; structure ; acidity ; characterization ; 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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    Publication Date: 2023-09-11
    Description: This Proceedings reprint is a collection of papers from the E-Textiles 2022 Conference and represents the state of the art from both academia and industry in the development of smart fabrics that incorporate electronic and sensing functionality. The Proceedings reprint presents a wide range of applications of the technology, including wearable textile devices for healthcare applications such as ECG measurements and functional electrical stimulation. Manufacturing approaches include printed smart materials, knitted e-textiles and flexible electronic circuit assembly within fabrics and garments. Supplying power is a constant challenge for all wireless wearable technologies, and therefore this collection includes papers on triboelectric energy harvesting and zinc-ion batteries fabricated on top of textile substrates.
    Keywords: electronics ; wearables ; smart fabrics ; e-textiles ; sensing ; healthcare devices ; textile antennas ; energy harvesting ; printed electronics ; knitted e-textiles ; functional yarns&nbsp ; &nbsp ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Additive manufacturing (AM) has been at the center of attention of studies and industry. The AM process involves gradual build-up in layers, and capability in the fabrication of complex shapes with low cost. Advances in the processing of polymers and polymer composites with this method are in the domain of this journal, which can provide a vital resource for anyone involved in additive manufacturing. This Special Issue cover original reviews and research articles dedicated to: AM processes of manufacturing and materials; Process–microstructure/morphology–properties relationships; Optimization of process parameters; Mechanical properties of fabricated parts; Modeling and simulation.
    Keywords: hybrid bio-inspired design ; nacre ; woodpecker beak ; mechanical performance ; failure mode ; finite element simulation ; Taguchi design ; ANOVA ; FFF ; response surface ; cylindricity ; process optimization ; polymer gear ; additive manufacturing ; differential pressure vacuum casting ; polyurethane resin ; abrasion ; fused filament fabrication ; temperature distribution modelling ; dynamic and static model ; thermal history ; impeller ; polymers ; polymer composites ; manufacturing process ; conventional manufacturing ; injection moulding ; performance ; face mask ; medical devices ; filtration performance ; 3D reconstruction ; customized implant ; PEEK ; accuracy evaluation ; finite element analysis ; 3D printing ; fused deposition modeling ; tensile testing ; infill rate ; crystallizable PET ; micromechanical model ; viscoplasticity ; temperature effect ; biaxial loading ; polylactic acid (PLA) ; dimensional deviation ; definitive screening design ; desirability function ; material extrusion ; rheological behavior ; mechanical properties ; temperature profile ; 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: 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: 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: 2024-03-27
    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This Proceedings reprint comprises a collection of the papers presented at the second International Conference on Computational Engineering and Intelligent Systems, held online in the period 18–20 November 2022. The conference focused on computational engineering including modeling, simulation, analysis, and intelligent systems driven by computing and artificial intelligence. The papers included in this collection deal with a range of topics including smart grids, renewable energies, intelligent safety and control systems, power quality and cloud computing.
    Keywords: Computational Engineering ; Intelligent systems ; Optimization ; Artificial Intelligence ; &nbsp ; 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: 2024-01-08
    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Social media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also been utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates. One benefit of using social media platforms to gain insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding the potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls. Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist, developed specifically to aide public health research utilising social media data. In recent years, ethical issues regarding the retrieval and analysis of data have also arisen.
    Keywords: social media ; disordered eating behaviours ; body image ; female ; university students ; telemedicine ; carbon dioxide ; air pollutants ; vehicle emissions ; primary care ; machine learning ; teleconsultation ; remote consultation ; classification ; public health ; short video ; social network ; TAM ; cost analysis ; health technology assessment ; provider-to-provider telemedicine ; telehealth ; economic analysis ; questionnaires and surveys ; validation studies ; health personnel ; electronic nicotine delivery systems ; smoking ; twitter ; poor doctor-patient relationship ; healthcare consultation ; mobile context ; computer-mediated communication ; point-of-care systems ; ultrasonography ; traffic-related pollution ; primary health care ; acceptability of health care ; surveys and questionnaires ; health communication ; Spanish official medical colleges ; stakeholders ; Twitter ; systemic lupus erythematosus (SLE) ; network analysis ; topic modeling ; text analysis ; online media ; vaccination ; social marketing ; stroke ; prehospital emergency care ; training ; stroke code ; large vessel occlusion ; prehospital scales ; hearing loss ; latent topic ; LDA ; social Q&amp ; A ; public voice ; public health emergency ; policy evolution ; product innovation ; cooperative governance ; COVID-19 ; coronavirus ; masks ; transmission ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Cement and lime currently are the most common binders in building materials. However, alternative materials and methods are needed to overcome the functional limitations and environmental footprint of conventional products. This Special Issue dedicated to “New frontiers in cementitious and lime-based materials and composites” gathers selected reviews and experimental articles that showcase the most recent trends in this multidisciplinary field. Authoritative contributions from all around the world provide important insights into all areas of research related to cementitious and lime-based materials and composites, spanning from structural engineering to geotechnics, including materials science and processing technology. This Topical Collection is intended to foster innovation and help researchers and developers to identify new solutions for a more sustainable and functional built environment.
    Keywords: durability ; hardened properties ; green composite ; fresh properties ; recycled concrete aggregates ; natural coarse aggregates ; enzyme-induced calcite precipitation ; microbial-induced calcite precipitation ; geotechnical engineering ; geoenvironmental engineering ; precast concrete wall ; interfacial bonding strength ; joint concrete ; interface processing ; washed rough surface ; roughness ; storage time ; cement mortar ; End-of-Life Tyre ; waste ; surface treatment ; compressive strength ; flexural strength ; workability ; fly ash ; freezing shaft sinking ; shaft lining structure ; uneven pressure ; hybrid fiber-reinforced concrete ; crack ; autogenous self-healing ; curing conditions ; supplementary cementitious materials (SCMs) ; GRC-PC ; integrated wall panels ; composite method ; shrinkage properties ; dissipation energy density ; high-strength concrete ; Weibull distribution ; damage mechanics ; constitutive model ; repeated impact ; ACI 544-2R ; high temperatures ; fire ; residual strength ; lime-cement mortar ; air-entrained agent ; heritage conservation ; reconstruction and restoration of historical buildings ; properties ; mechanical ; electrical resistivity ; ecofriendly ternary concrete ; SCBA ; SF ; coastal cemented soil ; nano silica ; iron tailings ; mechanical properties ; microscopic mechanism ; granite dust ; stabilizer ; particle size ; plasticity ; unconfined compression strength ; cement ; lime ; sustainable materials ; fibre-reinforced composite ; recycled aggregates ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
    Keywords: social networks ; health ; young people ; bibliometric study ; scientometrics ; obesity ; interventions ; children ; youths ; pediatrics ; reclaimed water ; advanced oxidation process ; microorganisms ; concern emergent contaminant ; worldwide ; content analysis ; text mining ; diabetes ; QOL ; artificial intelligence ; machine learning ; bibliometric ; LDA ; HIV/AIDS ; quality of life ; global health ; public health ; scientometric study ; knowledge map ; visualization analysis ; CiteSpace ; COPD ; QoL ; medicinal plants ; drugs ; worldwide research ; bibliometrics ; traditional medicine ; asthma ; HRQoL ; Scival ; patents ; Spain ; Research and Development (R&amp ; D) ; social returns ; COVID-19 ; biomechanics ; musculoskeletal disorders ; RULA ; ergonomics ; applications ; climate change ; infectious diseases ; bibliometric analysis ; co-word analysis ; biclustering ; strategic diagram ; academic performance ; citation network ; motivation ; microplastics ; network analysis ; VOSviewer software ; research hotspots ; pulmonary disease ; musculoskeletal risks ; wastewater treatment ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Exceptional loads on buildings and structures are known to take origin and manifest from different causes, like natural hazards and possible high-strain dynamic effects, human-made attacks and impact issues for load-bearing components, possible accidents, and even unfavorable/extreme operational conditions. All these aspects can be critical for specific structural typologies and/or materials that are particularly sensitive to external conditions. In this regard, dedicated analysis methods and performance indicators are required for the design and maintenance under the expected lifetime. Typical issues and challenges can find huge efforts and clarification in research studies, which are able to address with experiments and/or numerical analyses the expected performance and capacity of a given structural system, with respect to demands. Accordingly, especially for existing structures or strategic buildings, the need for retrofit or mitigation of adverse effects suggests the definition of optimal and safe use of innovative materials, techniques, and procedures. This Special Issue follows the first successful edition and confirms the need of continuous research efforts in support of building design under extreme loads, with a list of original research papers focused on various key aspects of structural performance assessment for buildings and systems under exceptional design actions and operational conditions.
    Keywords: blast loads ; slab-column joints ; prediction model ; damage level ; progressive collapse ; steel beam-to-column connections ; catenary mechanism ; double-span assemblies ; stiffness degradation ; timber-to-timber composite (TCC) joints ; push-out (PO) test setup ; inclined self-tapping screws (STSs) ; finite-element (FE) method ; cohesive zone modelling (CZM) method ; boundaries ; friction ; sensitivity study ; prototype abutment ; non-destructive test ; surcharge load ; mode number ; scour ; steel truss ; roof structure ; partial collapse ; finite element analysis ; lightning strike ; cable-stayed bridge ; social disaster ; blast scenario ; blast analysis ; LS-DYNA ; balau wood ; cross-arm ; transmission tower ; bracing system ; creep ; findley’s power law model ; burger model ; top-seat angle connections (TSACW) ; component-based models ; initial stiffness ; ultimate moment capacity ; moment-rotation relation ; artificial neural network (ANN) ; sensitivity analysis (SA) ; reinforced concrete column ; multi-column pier ; seismic behavior ; lap-splice ; transverse reinforcement ; plastic hinge ; ductility ; bonded-in rod (BiR) connections ; adhesives ; fracture modes ; moisture ; experiments ; linear elastic fracture mechanics (LEFM) ; analytical model ; aeroelastic experiments ; experimental uncertainty ; singular value decomposition ; correlation field ; cathedral ; foundation rehabilitation ; jacked-in piles ; soil injection ; cracks ; masonry ; differential equation of motion ; Legendre–Galerkin matrix (LGM) method ; algebraic polynomials ; single degree of freedom (SDOF) ; multi degree of freedom (MDOF) ; 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: 2022-06-21
    Description: Electrical machines are one of the most important components of the industrial world. They are at the heart of the new industrial revolution, brought forth by the development of electromobility and renewable energy systems. Electric motors must meet the most stringent requirements of reliability, availability, and high efficiency in order, among other things, to match the useful lifetime of power electronics in complex system applications and compete in the market under ever-increasing pressure to deliver the highest performance criteria. Today, thanks to the application of highly efficient numerical algorithms running on high-performance computers, it is possible to design electric machines and very complex drive systems faster and at a lower cost. At the same time, progress in the field of material science and technology enables the development of increasingly complex motor designs and topologies. The purpose of this Special Issue is to contribute to this development of electric machines. The publication of this collection of scientific articles, dedicated to the topic of electric machine design and application, contributes to the dissemination of the above information among professionals dealing with electrical machines.
    Keywords: electric AWD tractor ; SOC level ; simulation model ; load measurement system ; driving test ; brushless direct current motor with permanent magnet (BLDCM) ; winding configurations ; star ; delta ; star–delta ; fault states ; open circuit (OC) ; FFT ; neutral-point voltage ; electrical machine ; hydro generator ; faulty synchronization ; finite element method ; field-circuit modeling ; permanent magnet machines ; hybrid excitation ; electric vehicles ; wind power generator ; finite element methods ; variable speed machines ; synchronous generator ; permanent magnets ; demagnetization ; motor control ; switched reluctance motor ; MATLAB ; simulation ; wheel hub motor ; electric drive ; permanent magnet synchronous motor ; electrical machines ; thermal modeling ; preformed coils ; insulation systems ; pre-shaped conductor ; system model ; structural dynamics ; multibody simulation ; transient electrical machine model ; permanent magnet synchronous machine ; induction machine ; dynamic gear forces ; planetary gear ; synchronous condenser ; different materials ; magnetic flux leakage in the end ; eddy current loss ; fluid–solid coupling ; finite element analysis (FEA) ; interior PM synchronous motor ; surface PM synchronous motor ; traction applications ; finite element analysis ; flux switching machine ; flux bridge ; magnetic flux leakage ; variable flux machine ; axial flux generator ; spatial harmonic interaction ; harmonic balance method ; turbo-generator ; eddy current losses ; data driven ; support vector regression ; multi-layer perceptron ; vane pump ; electric motor ; integrated motor-pump assembly (IMPA) ; balanced vane pump ; fluid power drives ; brushless DC electric motor ; permanent magnet machine ; measurements ; high-speed motor ; electromagnetic analysis ; mechanical analysis ; thermal analysis ; electromechanical convertor ; drive system component ; electromagnetic calculation ; MR fluids ; MR multi-disc clutch ; clutch design ; electric train ; hybrid excited linear flux switching machine ; rope-less elevator ; 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: 2022-06-21
    Description: This Special Issue was intended to contribute to the sustainable mobility agenda through enhanced scientific and multi-disciplinary knowledge to investigate concerns and real possibilities in the achievement of a greener mobility and to support the debate between industry and academic researchers, providing an interesting overview on new needs and investigation topics required for future developments.
    Keywords: digging trajectory ; cable shovel ; robotic excavation ; multi-objective genetic algorithm ; electric vehicle ; propulsion cooling system ; modularity ; thermal management ; control optimization ; driving cycle ; energy consumption ; Markov chains ; driving range ; electrification ; green mobility ; compact off-highway vehicles ; battery electric ; urban air mobility ; WTW emissions ; hybrid electric vehicles ; battery aging ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint aims to collect state-of-the-art research contributions that address challenges in the emerging 5G networks design, dimensioning and optimization. Designing, dimensioning and optimization of communication networks resources and services have been an inseparable part of telecom network development. The latter must convey a large volume of traffic, providing service to traffic streams with highly differentiated requirements in terms of bit-rate and service time, required quality of service and quality of experience parameters. Such a communication infrastructure presents many important challenges, such as the study of necessary multi-layer cooperation, new protocols, performance evaluation of different network parts, low layer network design, network management and security issues, and new technologies in general, which will be discussed in this book.
    Keywords: bit error rate (BER) ; space-time coding (STC) ; Singular Value Decomposition (SVD) ; massive MIMO ; orthogonal transform division multiplexing (OTDM) ; Toeplitz matrix ; 5G networks ; BBU centralization ; cloud radio access networks ; eCPRI ; fronthaul ; filter bank multicarrier ; isotropic orthogonal transfer algorithm ; intrinsic interference ; Co-time Co-frequency Full Duplex (CCFD) ; self-interference (SI) signal cancellation ; RF domain ; optimize Least Mean Square (LMS) algorithm ; interference cancellation ratio (ICR) ; 5G core network slice ; network slicing ; resource attributes ; slice provisioning ; topology attributes ; beamforming ; interference management ; throughput ; fairness index, small cell networks ; OFDM ; congestion ; random ; quasi-random ; recursive ; restricted ; reservation ; complete sharing ; D2D communication ; 5G IoT network ; lightweight cryptography ; authentication ; midhaul ; radio-over-fiber ; optical gNB-DU ; RRH ; A-RoF ; D-RoF ; BBU ; all-optical network ; handover ; HetNets ; mobility management ; self-optimization ; spectrum handoff ; spectrum sensing ; cognitive radio networks ; cognitive radio user ; primary and secondary user ; 5G mobile communication network ; multi-access edge computing ; centralized cloud computing ; hybrid cloud computing ; Palm-Jacobaeus loss formula ; blocking probability ; multi-service traffic ; separated resources ; performance evaluation ; cellular systems ; channel emulator ; non-stationary MIMO channel ; discrete channel model ; field-programmable gate array (FPGA) platform ; Cloud Radio Access Network (C-RAN) ; Microwave Radio Transmission (MRT) ; Free Space Optics (FSO) ; Fiber Optics (FO) ; multi-agent systems ; laplacian eigenvalues ; augmented Lagrange based Alternating Direction Inexact Newton (ALADIN) method ; consensus algorithms ; Alternating Direction of Multipliers Method (ADMM) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
    Keywords: earned value method—EVM ; time variances ; cost variances ; schedule ; cadastre ; land surveyor ; construction surveying ; building layout ; polar coordinates ; stake-out methods ; total station ; construction reports ; construction contracts ; natural language processing ; machine learning ; simulation modeling ; bridge expansion and contraction installation (BECI) ; decision making (DM) ; technical condition assessment ; analytic hierarchy process (AHP) ; whale optimization algorithm ; Tent chaotic mapping ; Lévy flight ; resilience ; baseline schedule ; uncertainty ; taxonomy ; construction project ; PERT ; theory of constraint (TOC) ; drum-buffer-rope (DBR) ; construction schedule ; monitoring progress ; construction phase ; automated monitoring ; digital tools ; as-built ; as-planned ; efficiency ; risk ; randomization ; association analysis ; tabu search ; delay ; time schedules ; project risk ; construction project management ; Time-at-Risk (TaR) ; investment-construction process model ; Monte Carlo simulation ; decision-making process ; decision modelling in construction activities ; decisions in civil engineering ; liquid cooling system ; flow calibration ; differential pressure ; experimental method ; aircraft ; building information modelling (BIM) ; automatisation ; facilities design ; domestic plumbing and sanitation ; management ; project cost ; investment schedule ; risk mitigation ; randomness ; fuzziness ; health and safety control ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Civil engineering structures may vibrate due to different sources of excitations such as earthquakes, wind, traffic, humans, etc. The resulting vibrations may not be acceptable from the perspective of vibration comfort or can even impair the structure's safety. Depending on the excitation mechanism, anti-vibration measures range from increasing the structural damping using local dampers, decoupling the structure from the disturbance using vibration isolators and compensating for the excitation forces using vibration compensators. The Special Issue "Efficient Damping and Isolation Systems for Civil Structures" presents some of the recent advances in the associated fields of research and development.
    Keywords: isolation ; high damping rubber bearing ; low shape factor ; performance test ; experiment ; three-dimensional (3D) seismic isolation ; vertical seismic isolation device ; disc spring ; helical coil spring ; steel damper ; laminated rubber bearing ; seismic energy dissipation ; nuclear power plant equipment ; seismic isolation frequency ; hysteretic behavior ; cable ; control ; damping ; semi-active ; negative stiffness ; vibration ; liquid storage tank ; MetaFoundation ; time domain analysis ; earthquake ; passive control ; stop band ; suspended ceiling systems ; passively controlled structure ; pulley tackle mechanism ; shake table test ; simulation analysis ; tower-like structures ; tuned liquid gas damper ; elastic membrane ; gas spring ; gas volume ; SA-TLGD ; TLCGD ; TLCD ; TMD ; inerter ; optimization ; TMDI ; vibration mitigation ; tuned sloshing damper ; TSD ; tuned mass damper ; numerical simulation ; coupled simulation ; computational wind engineering ; CWE ; hysteresis ; internal resonances ; nonlinear modal interaction ; 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: 2022-06-21
    Description: This reprint includes contributions from leaders in the field of personalized medicine in ophthalmology. The contributions are diverse and cover pre-clinical and clinical topics. We hope you enjoy reading the articles.
    Keywords: subthreshold micropulse laser ; 577-nm laser ; laser fixed parameters ; diabetic retinopathy ; diabetic macular edema ; optical coherence tomography ; autofluorescence ; real-life ; diabetic macular oedema ; visual prognosis ; indicators ; personalized medicine ; age-related macular degeneration ; choroidal neovascularization ; classification ; machine learning ; type 2 diabetes ; retinopathy ; ethnicity ; general practice ; risk factors ; progression ; glycemic gap ; glucose variability ; ETDRS classification ; biomarkers ; phenotypes ; anti-vascular endothelial growth factor ; diabetic retinopathy severity scale ; panretinal leakage index ; neovascular age-related macular degeneration ; anti-VEGF therapy ; retinal thickness ; visual acuity ; variability ; leakage index ; microaneurysms ; intravitreal aflibercept ; neovascularization ; ultra-widefield fluorescein angiography ; retinal imaging ; quantitative biomarkers ; precision medicine ; autoantibodies ; AT1-receptor ; PAR1 ; VEGF-A ; VEGF-B ; VEGF-receptor 2 ; AMD ; complement system ; semi-quantitative multiplex profilin ; mass spectrometry ; C4 ; vitronectin ; factor I ; genetic variants ; metabolites ; HDL ; central area thickness ; biomarker ; microRNA ; anti-VEGF ; retina ; edema ; OCT ; tomography ; microphysiological systems ; blood-neural barriers ; neurovascular unit ; disease modeling ; 3D models ; organ-on-a-chip ; inner blood-retinal barrier ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: Patient outcomes remain poor for many cancers despite improvements in treatments and new molecular-targeted biomedicines for certain cancer types or subtypes. Dose-limiting toxicity, a narrow therapeutic index, and the development of resistance to traditional anti-cancer agents are well-established. It is apparent that inherent and acquired drug resistance are major challenges with molecular-targeted agents and that on- as well as off-target side effects can still occur. Other issues include drug metabolism by the body and safely supplying a sufficient amount of active drug to the tumor cells. There is a clear and urgent need for new molecular targets and drugs that specifically target cancer cells in different ways to existing approved drugs. This book, through a collection of eight research articles and two review articles from the Biomedicines themed Special Issue ‘Novel Anti-Cancer Agents and Cellular Targets and Their Mechanism(s) of Action’, provides a snapshot of some of the diverse and exciting research approaches being taken by the cancer research community in trying to address some of these therapeutic challenges.
    Keywords: microtubule acetylation ; triple-negative breast cancer ; anti-cancer agent ; apoptosis ; K562 ; 8-hydroxydaidzein ; autophagy ; BCR-ABL ; MAPK ; NF-κB ; c-myc ; RNA interference ; siRNA ; oncogene ; gene silencing ; expression ; nanosystems ; Cytochrome P450 ; CYP1A1 ; CYP1B1 ; CYP2W1 ; breast cancer ; prodrug ; bioprecursor ; duocarmycin ; phortress ; AQ4N ; 5-FU resistance ; colorectal cancer ; drug repurposing ; Genomics of Drug Sensitivity in Cancer ; Connectivity Map ; anticancer drug ; B-lactam steroid alkylators ; synthetic lethality ; poly (ADP-ribose) polymerase inhibitors ; ovarian cancer ; hybrid steroidal alkylating agents ; migration ; invasion ; glioblastoma ; CCN1 ; mesenchymal–amoeboid transition ; biomarker ; HepG2 ; Huh7 ; isatin sulfonamides ; angiogenesis ; cancer hallmarks ; molecular docking ; EGFR tyrosine kinase inhibitor ; photon upconversion ; triplet-triplet annihilation ; in vivo imaging ; PLGA ; nanoparticles ; affibody molecule ; human epidermal growth factor receptor 3 (HER3) ; BxPC-3 ; emtansine ; DM1 ; albumin binding domain ; affibody drug conjugate (AffiDC) ; 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: 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Processing and Conversion of Oil and Gas: Modeling, Control, Simulation, and Optimization describes the core of the activity of petrochemical engineers, process controller engineers, industrial engineers, energy engineers, and researchers in the oil and gas field. This reprint explores the modeling, control, simulation, and optimization of new and revamped petrochemical processes using proven software. Thus, it offers novel illustrative examples, prospective applications, and solutions to improve these processes. This reprint aims to combine theoretical principles with examples modeled by commonly used simulation software employing steady-state or dynamic process simulation. Furthermore, applying numerical methods and optimization at both the theoretical and practical levels is within the scope of this reprint.
    Keywords: jet stability ; swirl ; twist ; dominant mode ; Brassica Napus ; fatty acid methyl esters ; 2-Ethyl-2-hydroxymethyl-1,3-propanediol ; viscosity ; batch reactor ; kinetics ; self-excited oscillation pulse jet ; nozzle ; large eddy simulation ; peak velocity ; cavitation number ; coal tar ; wash oil ; nitrogen-containing compounds ; indole ; formamide equilibrium extraction ; price bubbles ; bubble length ; petroleum products ; GSADF ; Pakistan ; pipeline safety ; risk classification ; pipeline failure ; fuzzy analytic hierarchy process ; pipeline risk assessment ; shale gas pipelines ; pressure gradient ; gas–liquid two-phase flow ; flow patterns ; Generalized Additive Model ; dimensionless numbers ; discrete element method ; optimal design ; simulation analysis ; anti-corrosion pill particles ; butyl acetate ; acetic acid ; n-butanol ; esterification ; membrane reactor ; reactive distillation ; amberlyst-15 catalyst ; energy efficiency ; economic evaluation ; methyl isobutyl ketone (MIBK) ; acetone self-condensation ; selective hydrogenation ; process development ; heat integration ; economic analysis ; nano-Pd/nano-ZnCr2O4 catalyst ; dimethyl carbonate ; dimethyl oxalate ; oxidative carbonylation ; azeotropic distillation ; profitability analysis ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The need for energy is increasing and at the same time production from the conventional reservoirs is declining quickly. This requires an economically and technically feasible source of energy for the coming years. Among some alternative future energy solutions the most approachable source is from unconventional reservoirs. As the name “unconventional” implies it requires different and challenging approach to characterize and to develop such a resource. This special issue covers some of the technical challenges for developing unconventional energy sources from shale gas/oil, tight gas sand, and coalbed methane.
    Keywords: bedding fractures ; failure criterion ; lamina ; tight oil ; tight sandstone ; finite element simulation ; numerical simulation ; unconventional reservoir ; permeability ; group method of data handling ; artificial neural network ; well logs ; sensitivity analysis ; tight gas reservoir ; multi-fractured horizontal well (MFHW) ; unstable productivity model ; productivity forecast ; influencing factor analysis ; horizontal well with multiple finite-conductivity fractures ; elliptical-shaped drainage ; productivity index ; non-Darcy flow ; pressure-dependent conductivity ; reservoir properties ; void space structure ; porosity ; complex rocks ; NMR ; MICP ; CT ; SEM ; coal-bearing tight sandstone ; organic-rich clasts ; occurrence ; classifications ; formation mechanisms ; Ordos Basin ; hydraulic fracturing ; fracturing fluids ; fluids-rock interaction ; environmental implication ; history matching ; semianalytic model ; unconventional gas reservoirs ; multistage fractured horizontal wells ; fractal theory ; pore structure ; heterogeneity ; NMR measurements ; multifractal analysis ; shale reservoir ; elastic properties ; brittleness ; rock physics ; brittle spot identification ; shale gas ; reservoir characteristics ; gas content ; eastern Sichuan Basin ; the Da’anzhai member ; pulse decay method ; gas adsorption ; dual media ; unconventional core ; natural fracture ; influencing factor ; oil production ; carbonate rock ; basement reservoir ; Jizhong Sub-basin ; dynamic pore network modeling ; shale reservoirs ; water imbibition ; discrete element method ; modified fluid-mechanical coupling algorithm ; injection sequence ; well spacing ; stress shadow effect ; seismic location ; microseismic events ; waveform stacking ; induced seismicity ; CBM ; surfactant ; solid-free drilling fluid ; CBM reservoir wettability ; machine learning ; lithofacies ; umiat ; Alaska ; proppant transportation ; cross fractures ; CFD simulation ; dimensional analysis ; equilibrium proppant height ; coalbed methane ; Lattice Boltzmann method ; gas diffusion ; adsorption–desorption ; pore-scale ; clay minerals ; pore structures ; tight gas reservoirs ; Xujiaweizi Rift ; Northern Songliao Basin ; methane adsorption isotherm ; coal properties ; gradient boosting decision tree ; estimation model ; shale gas reservoir ; geology ; Gibbs excess adsorption ; supercritical adsorption ; gas viscosity ; high voltage spark discharge ; electrohydraulic effect ; electrical conductivity ; drilling ; rock damage ; pressure waves ; water fracturing ; turbulence effect ; Eulerian multiphase modeling ; proppant transport mechanism ; equilibrium height prediction model ; adaptive filtering ; complex noise canceling ; electromagnetic telemetry ; multifractured horizontal wells ; production analysis ; irregular stimulated region ; natural gas hydrate ; seismic modeling ; fractional derivatives ; gas geochemical characteristics ; noble gas ; shale gas evolution ; Large Igneous Province (LIP) ; gas loss ; geological structure ; gas controlling pattern ; neutral surface ; tectonic movement ; Bumu region ; seismic interpretation ; depositional environments characteristics ; Wheeler diagram ; seismic attributes ; heterogeneous sequence ; sample size ; neutron scattering ; mercury injection capillary pressure ; adsorption ; shale ; junggar basin ; hong-che fault zone ; carboniferous ; volcanic reservoir ; main controlling factors of hydrocarbon accumulation ; fracture ; vug ; micro CT ; carbonate ; wave velocity ; amorphous SiO2 ; X-ray diffraction ; X-ray fluorescence spectrometry ; scanning electron microscope ; quantitative analysis ; void ratio ; FEM ; ABAQUS ; matrix porosity ; kerogen porosity ; water saturation ; gas hydrate ; saturation ; deep learning ; recurrent neural network ; molecular simulation ; enhanced oil recovery ; methane ; shale petroleum ; technological development ; patent ; network analysis ; imbibition ; osmosis ; unconventional formations ; EOR ; water flooding ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This Special Issue (SI) on “Land Degradation Assessment with Earth Observation” comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps—some of which have been identified in this SI—and produce highly accurate and relevant land-degradation assessment and monitoring tools.
    Keywords: bfast ; Mann–Kendall ; Sen’s slope ; East Africa ; NDVI ; breakpoint analysis ; vegetation trends ; greening ; browning ; Kenya ; Uganda ; trend analysis ; land use ; land cover ; spatial heterogeneity ; mining development ; geographically weighted regression (GWR) ; Mann-Kendall ; arid and semi-arid areas ; salinization ; irrigated systems ; Niger River basin ; salinity index ; vegetation index ; TI-NDVI ; Sentinel-2 images ; high temporal resolution ; wind erosion modeling ; RWEQ ; GEE ; central Asia ; spatial-temporal variation ; land degradation ; archetypes ; self-organizing maps ; drivers ; savannah ; Nigeria ; reference levels ; REDD+ ; greenhouse gas emissions ; Xishuangbanna ; monitoring and reporting ; Normalised Difference Vegetation Index (NDVI) ; Vegetation Condition Index (VCI) ; drought ; land use-land cover ; remote sensing ; Botswana ; developing countries ; Google Earth Engine ; Landsat time series analysis ; semi-arid areas ; sustainable land management programmes ; precipitation ; breakpoints and timeseries analysis ; ecosystem structural change ; BFAST ; land degradation neutrality ; SDG ; land productivity ; Landsat ; vegetation-precipitation relationship ; soil organic carbon ; Kobresia pygmaea community ; unmanned aerial vehicle ; Gaofen satellite ; spatial distribution ; aridity index ; satellite-based aridity index ; remote sensing index ; salinized land degradation index (SDI) ; Amu Darya delta (ADD) ; satellite imagery ; gully mapping ; machine learning ; random forest ; support vector machines ; South Africa ; semi-arid environment ; shrub encroachment ; slangbos ; Earth observation ; time series ; Sentinel-1 ; Sentinel-2 ; Synthetic Aperture Radar (SAR) ; Soil Adjusted Vegetation Index (SAVI) ; Kyrgyzstan ; pastures ; MODIS ; land surface phenology ; drought impacts ; drought adaptation ; drought index ; vegetation resilience ; drought vulnerability ; standardized precipitation evapotranspiration index ; AVHRR ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
    Keywords: machine learning ; random forest ; particle swarm optimization ; Vietnam ; Seepage ; Earth-fill dam ; Experimental analysis ; Numerical analysis ; SEEP/W model ; Dam safety and sustainability ; highway construction ; environmental protection ; soil loss ; erosion control ; risk ; hazard ; vulnerability ; landslides ; multicriteria assessment ; analytical hierarchy process ; calcium sulfoaluminate cement ; stabilized soil ; unconfined compressive strength ; hydration products ; microstructure ; sustainability ; geosynthetics ; poly(lactic acid) ; biopolymers ; geogrids ; tensile strength ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of testing of different materials and elements in civil engineering, from building materials to building structures. The current trend in the development of testing of materials and elements in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
    Keywords: rock bolt ; grouting quality ; dynamic response ; natural frequency ; finite element method ; monitoring ; historical masonry wall ; hygrothermal processes ; internal insulation ; testing of building materials ; test uncertainty ; validation of test methods ; sustainable test methods ; recycling ; foamed asphalt mixtures with cement (FAC) ; base layer ; reclaimed asphalt pavement (RAP) ; fatigue durability ; GFRP ; FRP reinforcement ; shear ; capacity ; reinforced concrete beams ; column ; stiffness ; FRCM ; PBO mesh ; PBO–FRCM ; carpentry joints ; scarf and splice joints ; stop-splayed scarf joints (‘bolt of lightning’) ; static behaviour ; experimental research ; concrete ; non-destructive testing ; ultrasounds ; ultrasonic tomography ; acoustic methods ; defects ; diagnostic ; detection ; convolutional neural networks ; transfer learning ; monitoring FBG ; power transmission tower ; civil engineering ; X-ray microtomography ; microstructure characteristics ; infiltration damage ; high-strength concrete ; steel fibres ; flexural tensile strength ; fracture energy ; numerical analysis ; concrete floors ; compressive strength ; strength distribution ; industrial floors ; ultrasound tests ; ventilated facades ; large-scale facade model ; fire safety ; fiber cement board ; large-slab ceramic tile ; plasterboards ; moisture content ; hydration processes ; mechanical properties ; ultrasound measurements ; ESD resin ; expansion joint ; quasi-plastic material ; energy absorption ; asphalt mix ; compaction index ; volumetric parameters ; stiffness modulus ; moisture resistance ; roughness ; texture ; close-range photogrammetry ; bond strength ; random field generation ; semivariograms ; hybrid truss bridge ; steel–concrete connection joint ; mechanical behavior ; failure mode ; strain ; static test ; static elastic modulus ; dynamic elastic modulus ; machine learning ; P-wave ; S-wave ; resonance frequency test ; nondestructive method ; Al–Ti laminate ; fracture ; acoustic emission diagnostic ; pattern recognition ; clustering AE signal ; storage systems ; tab connector ; flexural test ; capable design moment ; restrained ring test ; autogenous shrinkage cracking ; concrete cracking test ; concrete shrinkage cracking test ; restrined ring calibration ; cement–fiber boards ; acoustic emission method ; k-means algorithm ; wavelet analysis ; fiber composites ; ground penetrating radar (GPR) ; HMA dielectric constant ; road pavement thickness estimation ; early age concrete ; damage processes detection before loading ; strength of structures ; aggregate ; classification ; wire mesh ; roundness ; tilting angle ; opening size ; concrete centrifugation ; morphology ; image processing ; porosity ; cement ; waste paper sludge ash (WPSA) ; controlled low-strength material (CLSM) ; unconfined compressive strength ; bearing capacity ; backfill material ; P-wave velocity ; amplitude attenuation ; resistivity ; CT scan ; sandstone ; damage variable ; nuclear magnetic resonance ; spin-lattice relaxometry ; proton ; hydration kinetics ; superplasticizer ; ready-mixed concrete ; construction material ; quality assessment ; conformity criteria ; statistical-fuzzy method ; FRTP ; rivet ; connection ; polyethylene pipe ; mechanical properties of polyethylene ; resistance strain ; computer simulation ; residual shear stress ; particle crushing ; ring shear test ; particle flow code (PFC2D) ; frictional work ; fibre-reinforced concrete ; recycled steel fibres ; micro-computed tomography ; scanning electron microscopy ; tensile strength ; reinforced concrete ; diagnostic testing ; corrosion ; carbonation ; galvanostatic pulse method ; phase composition analysis ; X-ray analysis ; thermal analysis ; quasi-brittle cement composites ; low-module polypropylene fibres ; elastic range ; digital image correlation ; Arcan shear test ; wood ; orthotropic shear modulus ; elastic-plastic material ; shear wave velocity ; sand ; bender elements test ; grain-size characteristics ; complex modulus ; shrinkage analysis ; reclaimed asphalt ; mineral–cement emulsion mixtures ; cement dusty by-products (UCPPs) ; degradation of glass panels ; effective area ratio ; relative mass loss ; visible light transmittance ; windblown sand ; wood-plastic composites ; methods of testing resistance to fungi ; methods of assessment ; ground-penetrating radar (GPR) ; non-destructive techniques (NDT) ; corrosion of reinforcement ; slip resistance ; granite floor ; slip resistance value ; ramp test ; acceptance angle ; sliding friction coefficient ; comparability of test methods ; wall temperature ; fibre bragg grating sensors ; freeze-thaw cycles ; signal analysis ; short-time Fourier transform ; fast Fourier transform ; brine ; sodium chloride ; X-ray ; partition walls ; brick walls ; bending strength ; cracking ; post-tension ; cable ; girder ; destructive test ; non-destructive test ; structural health monitoring ; safety ; monitoring fibre Bragg grating ; mining areas ; strain/stress distribution ; geopolymer concrete ; fly-ash ; bottom-ash ; neural network ; sustainability ; industrial waste management ; flexural strength ; cladding ; AE acoustic emission ; micro-events ; sound spectrum ; traditional and quasi-brittle cement composites ; residual-state creep ; saturation front ; landslides ; erosional stability ; laboratory testing ; grout mixtures ; groundwater ; test apparatus ; testing ; building materials ; elements ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: The reprint focused on innovative developments in the fields of advanced propulsion system and thermal management technology. Propulsion systems develop along the direction of wide speed range and long endurance both for civil aircrafts and military applications. The research works of propulsion systems mainly include overall design, combustion, aerodynamic, internal flows and heat transfer etc. High efficiency is pursed not only by optimized designs but also from development of materials as well as application of new fuel. Along with development of high efficiency propulsion system, thermal management technology is also developed to meet the demand of external aerodynamic heating and internal combustion heat at a high flight speed. Common thermal management technology includes blade cooling in gas turbines and regenerative cooling in rocket engines. Thermal protection of engines achieves high efficiency by heat transfer enhancement, such as use of superficial fluid, nanofluids and new designed roughened surfaces. Also, some heat transfer enhancement methods in heat exchangers, battery and fuel cells are also introduced into propulsion systems.
    Keywords: auto-ignition ; supersonic flow ; initial flame kernel ; oblique shock ; recirculating region ; improved body force model ; off-design ; Reynolds-averaged Navier–Stokes equations ; meridional entropy gradient ; rotor 37 ; rolling motion ; subcooled flow boiling ; transverse flow ; subchannel ; VOF ; printed circuit heat exchanger ; NACA airfoil fins ; micro gas turbine recuperator ; thermo-hydraulic ; parametric study ; ventilation ; solar greenhouse ; numerical simulation ; system design ; n/a ; thrust vector control ; supersonic jet ; nozzle ; flow entrainment ; Coanda effect ; schlieren method ; scramjet ; regenerative cooling ; coupled heat transfer ; pyrolysis ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: 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: 2022-12-06
    Description: Pumped storage technology is a large-scale, efficient, flexible and clean energy storage technology. The core of it is the design of pumped storage units, which involves the operation and flow characteristics of vane hydraulic machinery under pump and turbine modes, as well as the complex flow conditions of the upstream and downstream flow channels of the units. With this as the background, this book expounds on the relevant problems and their solutions, providing a scientific basis for the development of pumped storage technology. I hope this book can provide as a useful reference for readers.
    Keywords: tip clearance ; vertical axial flow pump ; whole channel numerical simulation ; pressure pulsation ; leakage vortex ; bulb tubular pump ; numerical simulation ; adjusting speed ; transition process ; pressure fluctuation ; pump turbine ; flow energy loss ; flow–head stability ; guide vane opening ; V-inclined pipe ; sand transport ; critical velocity ; flow pattern ; orthogonal test method ; lateral intake ; CFD numerical simulation ; diversion pier ; prefabricated pumping station ; centrifugal pump ; energy characteristics ; internal flow field ; test ; integrated pump gate ; inlet channel ; outlet channel ; hydraulic performance ; “S” shaped airfoil ; bidirectional axial flow pump ; axial flow pumps ; energy ; cavitation ; numerical calculation ; Francis turbine ; sediment erosion ; clearance ; CFD ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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  • 84
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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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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
    Keywords: Industry 4.0 ; cognitive manufacturing ; cognitive load ; human–computer interaction ; 6GIIoE priorities ; 6GIIoE challenges ; 6GIIoE applications ; information system ; sequential methodology ; 6GIIoE theoretical framework ; circular economy ; circular building ; implementation strategies ; design strategies ; circular resource flows ; digital twin ; digital model ; system optimization ; predictive maintenance ; artificial and human intelligence ; security ; risks and risk management ; quality of life ; common welfare ; socio-political assessment ; assembly ; process planning systems ; concurrent engineering ; automotive industry applications ; manufacturing industry applications ; artificial intelligence ; sustainable development ; construction ; civil engineering ; machine learning ; construction engineering ; cognitive data intelligence ; cognitive healthcare ; tiny machine learning ; 6GCIoHE theoretical framework ; data science ; statistical data processing ; predictive analytics ; classification ; clustering ; labor productivity ; health management ; health-saving strategies ; electric power industry ; bridge ; expansion joint ; joint gap ; smart bridge maintenance equipment ; sensor ; structural health monitoring ; line-scan camera ; machine vision ; change management ; COVID-19 ; decision-support model ; digitization ; employee motivation ; employee satisfaction ; human resources ; software tool ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 87
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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  • 88
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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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  • 89
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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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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
    Keywords: autophagy-related protein ; degradation ; ubiquitin ; proteasome ; autophagy ; Bacillus thuringiensis ; Cry toxin ; nematicidal activity ; pore-formation ; diabetes ; vaccines ; clinical trials ; insulin ; GLP ; nitric oxide ; antioxidants ; metal-stress related transcripts ; rice ; Pb-stress ; Aurisin A ; beta-cyclodextrins ; inclusion complex ; lung cancer ; ruxolitinib ; JAK inhibitor ; rheumatoid arthritis ; molecular modeling ; TOR ; photosynthesis ; cell growth ; AZD8055 ; Auxenochlorella pyrenoidosa ; ovarian cancer ; somatic BRCA mutational status ; digital pathology ; machine learning ; artificial intelligence ; super-secondary structure ; 3β-corner ; folding nuclei ; structure stability ; H Ferritin subunit ; PRDX6 ; protein-protein interaction ; seed-specific transcription factors ; signaling pathways ; seed size ; seed development ; juvenile idiopathic arthritis ; transcriptome-wide association study ; gene-based association analysis ; enrichment analysis ; gene regulatory network ; computational cancer biology ; precision medicine ; oxaliplatin and capecitabine (XELOX) ; data bank ; AlphaFold 2.0 ; graph neural network ; protein features ; nasopharyngeal carcinoma ; bioinformatics ; genes ; melon ; CmSUN ; IQ67 domain ; expression analysis ; overexpression phenotype ; fruit shape regulation ; protein interaction ; smooth muscle titin ; protein aggregates ; amyloid aggregation ; amyloids ; cross-β ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.
    Keywords: transnational industry cooperation ; transnational university cooperation ; transnational innovation ecosystem ; EU–China ; science, technology and innovation cooperation ; transdisciplinary approach ; artificial intelligence ; machine learning ; Higher Education ; University ; Entrepreneurial competences ; Employability ; Theory of Planned Behaviour (TPB) ; Open Innovation ; business creation ; technology transfer ; innovation ; innovation ecosystem ; entrepreneurship education ; science and technology ; sustainability ; higher education ; educational innovation ; Mexico ; academic mobility ; knowledge transfer ; higher education innovation ; institutional environment ; postgraduate education ; education level ; discipline background ; graduation institution ; R&amp ; D investment ; triple helix ; synergy mechanism ; national system of innovation ; China ; Belt and Road Initiative ; developmental model of intercultural sensitivity ; general model of instructional communication ; instructional beliefs model ; intercultural communication competence model ; green GDP ; environment ; sustainable development ; global innovation systems ; Chinese research university ; faculty income ; academic labor market ; ordinary labor market ; joint R&amp ; D institute ; institutional logics ; China’s innovation system ; China’s transnational Triple Helix linkages ; problem-solving ; critical reflection ; knowledge integration ; social learning ; systemic thinking ; entrepreneurial university ; entrepreneurship ; influencing factors ; sustainable universities ; corporate sustainability ; tensions ; integrative framework ; Finnish universities ; higher education system ; social entrepreneurship ; entrepreneurial universities ; business model innovation ; socialist economies ; Cuba ; knowledge brokers ; knowledge intensive policies ; smart specialisation ; innovation ecosystems ; global talent ; social integration ; economic integration ; Chinese student ; Finland ; university ; third mission ; knowledge-based society ; global innovation networks ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
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    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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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The need for electromechanical energy conversion that takes place in electric motors, generators, and actuators is an important aspect associated with current development. The efficiency and effectiveness of the conversion process depends on both the design of the devices and the materials used in those devices. In this context, this book addresses important aspects of electrical machines, namely their materials, design, and optimization. It is essential for the design process of electrical machines to be carried out through extensive numerical field computations. Thus, the reprint also focuses on the accuracy of these computations, as well as the quality of the material models that are adopted. Another aspect of interest is the modeling of properties such as hysteresis, alternating and rotating losses and demagnetization. In addition, the characterization of materials and their dependence on mechanical quantities such as stresses and temperature are also considered. The reprint also addresses another aspect that needs to be considered for the development of the optimal global system in some applications, which is the case of drives that are associated with electrical machines.
    Keywords: switched reluctance motor drive ; model predictive control ; continuous control set ; pulse-width modulation ; magnetization surface ; electrical drive ; magnetic permeability ; effective parameters ; induction motor ; finite element method ; linear electric actuators ; linear switched reluctance actuators ; permanent magnets ; linear hybrid reluctance actuators ; machine design ; finite element analysis ; detent force reduction ; flux switching ; performance comparison ; torque density ; permanent magnet (PM) ; eddy current loss ; heat generation ; magnetic circuit ; magnetic composite material ; spatial harmonics ; concentrated winding motor ; additive manufacturing ; convolution ; infinite impulse response (IIR) filters ; additive white noise ; DC drift ; magnetic flux density ; magnetic hysteresis ; kernel ; magnetic materials ; soft magnetic materials ; selective laser melting ; iron losses ; magnetic properties ; transformer ; induction motors ; surrogate optimization ; Box–Behnken design ; Latin-hypercube sampling ; clustering ; particle swarm optimization ; pattern search ; SRM ; PV panels ; water pumping system ; multilevel converter ; fault-tolerant ; 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: 2022-05-06
    Description: This Special Issue focuses on the current state of pharmacogenomics (PGx) and the extensive translational process, including the identification of functionally important PGx variation; the characterization of PGx haplotypes and metabolizer statuses, their clinical interpretation, clinical decision support, and the incorporation of PGx into clinical care.
    Keywords: pharmacogenomics ; return of results ; genetic counseling ; qualitative ; pharmacogenetics ; implementation ; pharmacogenetics service ; screening ; pre-emptive ; personalized medicine ; precision medicine ; community pharmacy ; pharmacogenomic testing ; genetic privacy ; pharmaco-economics ; polymorphisms ; pharmacogenes ; pharmacogenomic ; machine learning ; adaptation ; human evolution ; US Food and Drug Administration ; clinical actionability ; clinical translation ; chronic kidney disease ; CYP3A5 ; polymorphism ; progression ; pharmacogenomics (PGx) ; pediatrics ; best practice alerts (BPAs) ; electronic health records (EHR) ; genomic indicators ; clinical decision support (CDS) ; phenotype ; genotype ; polypharmacy ; chronic disease ; medication management ; electronic medical record ; artificial intelligence ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
    Language: English
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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-08-12
    Description: This is a book on the practical approaches of reliability to electrotechnical devices and systems. It includes the electromagnetic effect, radiation effect, environmental effect, and the impact of the manufacturing process on electronic materials, devices, and boards.
    Keywords: 3D-IC (three-dimensional integrated circuit) ; electromagnetic interference ; near field measurement ; SAC305 ; BGA ; low temperature ; fracture failure ; factorial design of experiment ; genetic algorithm optimization ; return loss ; multiple-input multiple-output (MIMO) ; single event effects ; linear energy transfer ; Monte Carlo simulation ; radiation hardness ; pressureless sintered micron silver joints ; deep space environment ; extreme thermal shocks ; reconstruction ; simulation ; elastic mechanical properties ; state of health ; remaining useful life ; electrochemistry based electrical model ; semi-empirical capacity fading model ; useful life distribution ; quality and reliability assurance ; single event effect ; microdosimetry ; lineal energy ; deconvolution ; gamma process ; lifetime ; measurement system analysis ; reliability estimation ; GaN ; operational amplifier ; proton therapy ; prompt gamma imaging ; 3D X-ray ; bias temperature-humidity reliability test ; conductive anodic filament (CAF) ; de-penalization ; finite element analysis ; 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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  • 98
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    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
    Language: English
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  • 99
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Gastrointestinal (GI) cancer is a major cause of morbidity and mortality in the world. Since early diagnosis and optimal treatment selection are crucial to improving the prognosis of these diseases, the discovery of useful biomarkers has the potential to greatly reduce their burden. Recent technical and mechanical developments have allowed for the detection of tiny differences in various factors modified in physical conditions, which could contribute to the discovery of novel biomarkers for some diseases.In this Special Issue, we aim to focus on novel biomarkers for GI cancers, including esophageal cancer, gastric cancer, colorectal cancer, liver cancer, pancreatic cancer and biliary cancer. In addition, any samples (tissue, blood, urine and feces) are useful as biomarker sources, although body-fluid-based biomarkers are promising as diagnostic biomarkers due to their noninvasiveness. This Special Issue aims to collect novel insights clarifying the current situation and future perspective in this field.
    Keywords: colorectal cancer ; advanced adenoma ; screening ; stool ; mRNA ; n/a ; cancer screening ; cirrhosis ; AFP ; machine learning ; MALDI-TOF ; proteomics ; CXCR4 ; prognosis ; overall survival ; rectal cancer ; neoadjuvant chemoradiation ; mouse model ; biomarkers ; urokinase plasminogen activator (uPA) ; urokinase plasminogen activator receptor (uPAR) ; plasminogen activator inhibitor type 1 (PAI-1) ; circulating tumour cell (CTC) ; gastric cancer ; oesophageal cancer ; serine proteases ; tumour microenvironment ; serpins ; biomarker ; chemoresistance ; liquid biopsy ; microRNA ; long non-coding RNA ; colorectal neoplasms ; cancer screening tests ; early detection of cancer ; precision medicine ; unfolded protein ; hepatocellular cancer ; GSVA ; unfolded protein score ; epigenetic regulation genes ; somatic mutations ; molecular genetic markers ; extracellular vesicles ; microbiome ; 16S rRNA amplicon ; metagenomics ; liver fibrosis ; hepatocellular carcinoma ; recurrence ; SHG/TPEF microscopy ; artificial intelligence ; advanced gastric cancer ; targeted therapy ; urinary miRNA ; miR-129-1-3p ; miR-566 ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
    Language: English
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  • 100
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There has been significant growth in branches of industry directly related to new materials, such as metals, polymers, and composite materials. Considering the increase in material costs, it has become exceedingly important to produce lightweight constructions through the use of certified materials with appropriate mechanical properties. Many composite materials, especially in building engineering, are characterized by the use of waste materials, allowing them to meet environmental demands and often also positively affecting the performance (as well as mechanical) properties of the whole construction. A similar phenomenon has been noticed in polymers and metals, with the “ecologically friendly” factor having increasing influence in such materials. The main aim of our Special Issue was to gather novel research results concerning different materials available for all important industries—building engineering, the heavy industry, automotive, aerospace, and medicine. Such a general title has been proposed to also include different manufacturing technologies using various materials—conventional (milling, casting, forming, and turning) and novel (hybrid and additive manufacturing).
    Keywords: additive manufacturing ; powder bed fusion ; 316L stainless steel ; ultrasonic atomization ; gas atomization ; three-point bending ; polyamide-based composites ; fused filament fabrication ; concrete additives ; concrete fibers ; concrete strength tests ; threshold effect ; flake graphene ; graphene oxide ; reduced graphene oxide ; lubricants ; grease ; fatigue life prediction ; CuZn37 brass ; machine learning ; IPCs ; ceramic preform ; ceramic–elastomer composite ; silane coupling agent ; hot isostatic pressing (HIP) ; wettability ; mechanical properties ; mechanical engineering ; laser powder bed fusion ; 21 NiCrMo2 steel ; process parameters ; post-heat treatment ; torsional strength ; cellular structures ; 20MnCr5 Steel ; cement–glass composite bricks ; digital image correlation analysis ; material extrusion ; PET-G ; waste disposal ; hybrid additive manufacturing ; lattice structures ; hot isostatic pressing ; fatigue behaviour ; polymer–straw boards ; thermoplastic polymers ; annual plants ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
    Language: English
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