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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: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
    Language: English
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  • 3
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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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  • 4
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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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  • 5
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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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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
    Keywords: off-shore wind farms (OSWFs) ; wake model ; wind turbine (WT) ; Extreme Learning Machine (ELM) ; wind power (WP) ; large-eddy simulation (LES) ; point-absorbing ; wave energy converter (WEC) ; maximum power point tracking (MPPT) ; flower pollination algorithm (FPA) ; power take-off (PTO) ; hill-climbing method ; Kirsten–Boeing ; vertical axis turbine ; optimization ; neural nets ; Tensorflow ; ANSYS CFX ; metamodeling ; FOWT ; multi-segmented mooring line ; inclined columns ; semi-submersible ; AFWT ; floating offshore wind turbine (FOWT) ; pitch-to-stall ; blade back twist ; tower fore–aft moments ; negative damping ; blade flapwise moment ; tower axial fatigue life ; wave energy ; oscillating water column ; tank testing ; valves ; air compressibility ; air turbine ; wave-to-wire model ; energy harnessing ; energy converter ; flow-induced oscillations ; vortex-induced vibration ; flow–structure interaction ; hydrodynamics ; vortex shedding ; cylinder wake ; tidal energy ; site assessment ; wave-current interaction ; turbulence ; integral length scales ; wave-turbulence decomposition ; OWC ; wave power converting system ; parametric study ; caisson breakwater application ; floating offshore wind turbines ; frequency domain model ; semisubmersible platform ; 10 MW wind turbines ; large floating platform ; platform optimization ; wind energy ; floating offshore wind turbine ; dynamic analysis ; fatigue life assessment ; flexible power cables ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 7
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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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  • 8
    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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  • 9
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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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  • 10
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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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  • 11
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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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  • 12
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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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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book covers the latest development of bioprocess technology including theoretical, numerical, and experimental approaches in biotechnology as well as green technology that bridge conventional practices and Industry 4.0. Bioprocessing is one of the key factors in several emerging industries of biofuels, used in the production of biogas, bioethanol, and biodiesel; industrial enzymes; waste management through biotechnology; new vaccines; and many more. It is hoped that the novel bioprocess and green biotechnologies presented in this book are useful in assisting the global community in working towards fulfilling the Sustainable Development Goals (SDG) of the United Nations.
    Keywords: extraction ; leaf ; liquid biphasic flotation ; polygonum ; protein ; date fruits ; proximate analysis ; physico-chemical characteristics ; date sugar ; phytoconstituents ; amino acids ; biomaterials ; Ficus carica ; diabetes mellitus ; proteomics ; sperm quality ; bioeconomy ; bioprocesses ; applications ; policy ; social welfare ; sustainability ; nanofiltration ; lipase ; Fusarium heterosporum ; fatty acid methyl ester ; electronics package ; induction heating ; magnetic field ; electric field ; TM110 single-mode cavity ; solder ; eddy current ; GABA ; fermented food ; functional food ; non-protein amino acid ; soy sauce fermentation ; lignocellulosic biomass ; holocellulose ; CMC ; degree of substitution ; excipient ; non-edible ; oil ; biodiesel production ; fuel ; Lactobacillus isolation ; lag phase ; bacteria sequencing ; breast milk ; chitosan ; co-loaded nanoparticles ; hydrophobic modification ; l-ascorbic acid ; thymoquinone ; sustainable supply chain management (SSSCM) ; social sustainability ; qualitative research ; Pakistan ; biohydrogen production ; immobilised cells ; entrapment ; alginate ; activated carbon ; carbon dioxide ; culture media ; microorganism ; optimization ; plant growth promoting rhizobacteria ; oil palm seedlings nursery ; biofertilizers ; chemical fertilizer ; n/a ; sago hampas ; amylase ; cellulase ; substrate feeding ; saccharification ; biomass ; waste cooking oil ; green fuel ; biodiesel ; heterogeneous catalyst ; deoxygenation ; 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: 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: 2024-04-09
    Description: Some terms, such as eco-friendly, circular economy and green technologies, have remained in our vocabulary, because the truth is that mankind is altering the planet to put its own subsistence at risk. Besides, for rationalization in the consumption of raw materials and energy, the recycling of waste through efficient and sustainable processes forms the backbone of the paradigm of a sustainable industry. One of the most relevant technologies for the new productive model is anaerobic digestion. Historically, anaerobic digestion has been developed in the field of urban wastes and wastewater treatments, but in the new challenge, its role is more relevant. Anaerobic digestion is a technologically mature biological treatment, which joins bioenergy production with the efficient removal of contaminants. This issue provides a specialized, but broad in scope, overview of the possibilities of the anaerobic digestion of lignocellulosic biomass (mainly forestry and agricultural wastes), which is expected to be a more promising substrate for the development of biorefineries. Its conversion to bioenergy through anaerobic digestion must solve some troubles: the complex lignocellulosic structure needs to be deconstructed by pretreatments and a co-substrate may need to be added to improve the biological process. Ten selected works advance this proposal into the future.
    Keywords: exhausted sugar beet pulp ; pig manure ; anaerobic co-digestion ; thermophilic ; lignocellulosic waste ; anaerobic digestion ; biogas ; optimization ; operating parameters ; review ; particle-rich substrate ; suspended solids disintegration ; disintegration kinetics ; cellulase ; lignocellulosic biomass ; pretreatment methods ; limitations ; hydro-thermal pretreatment ; biofuels ; feedstock and degradation pathway ; AD systems ; pretreatment technologies ; process stability ; codigestion ; rice straw ; nutrients ; recycling ; digestate ; methane ; corn residue ; organosolv pretreatment ; sugar beet by-products ; manure ; semi-continuous feeding mode ; methane improvement ; non-classical parameters ; sorghum mutant ; biomass ; soluble sugars ; dilute acid pretreatment ; one-pot process ; 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: 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: 2024-03-28
    Description: The diversity of wood and non-wood forest products is enormous and reflected in their anatomical, physical and chemical properties as well as their potential applications. Special attention should be given to lesser-known species and even to invasive species, which may be profitable when properly managed, thereby decreasing the overexploitation of threatened species. Besides the market importance of stem wood, other tree components and non-wood forest products, often regarded simply as forest residual materials, are valuable forest resources with various potential applications that can strengthen the circular economy. Assessing the characteristics of these diverse materials, such as their structure and anatomy as well as their physical and chemical properties, is fundamental for evaluating their potential and increasing high-quality end-uses. This knowledge will also contribute to sustainable forest management with enhanced forest diversity and species conservation in addition to the reinforcement of certification and environmental policies.
    Keywords: Calamus zollingeri ; Calamus ornatus ; dynamic vapor sorption ; basic density ; volumetric swelling ; white rot ; mold ; Quercus suber L. ; seasonal variation ; cuticular waxes ; leaves ; new species ; morphology ; wood ; properties ; chemical composition ; spectroscopy ; chemometrics ; unconventional species ; Quercus suber ; cork borer ; cork ; phenolics ; tropical species ; wood anatomy ; wood density ; wood color ; multivariate analysis ; species diversity ; dark-brown zone ; lenticular filling tissue ; quantitative anatomical characteristics ; Quercus variabilis ; reproduction cork ; scanning electron microscopy ; sclereid ; virgin cork ; Cytisus scoparius ; liquefied ; optimization ; eco-valorization ; agro-industrial residues ; Asparagaceae ; lignocellulose ; crystalline cellulose ; syringyl/guaiacyl ; anatomy ; Tilia amurensis Rupr. ; Tilia mandshurica Rupr. & Maxim. ; branch ; wood properties ; papermaking material ; tropical timber ; color parameters ; mid-infrared spectroscopy ; FTIR ratios ; environmental factors ; West African Sahel ; Cupressus funebris Endl. wood ; wood knots ; physical properties ; wood color properties ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry
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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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    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: 2024-03-27
    Description: Cognitive building is a pioneering topic envisioning the future of our built environment. The concept of "cognitive" provides a paradigm shift that steps from the static concept of the building as a container of human activities towards the modernist vision of "machine à habiter" of Le Corbusier, where the technological content adds the capability of learning from users' behavior and environmental variables to adapt itself to achieve major goals such as user comfort, energy-saving, flexible functionality, high durability, and good maintainability. The concept is based on digital frameworks and IoT networks towards the concept of a smart city.
    Keywords: explainable post occupancy ; humanoid robot ; lighting simulation software ; BIM ; openBIM ; IFC ; IoT ; sensors ; cognitive buildings ; asset management ; digital twin ; BEM ; simulation modelling ; dynamic simulation ; Building Information Modelling (BIM) ; Internet of Things (IoT) ; facility management ; cyber-physical systems ; Building Management System ; Digital Twin ; Post-Occupancy Evaluations ; cognitive ; digital twins ; building lifecycle management ; artificial intelligence ; decision support ; self-learning ; optimization ; building performance simulation ; lighting simulation ; lighting quality ; visual comfort ; office field study ; evidence-based design ; building information modeling ; HVAC ; fan coil ; Internet of Things ; predictive maintenance ; fault detection ; smart building ; sustainable building ; construction projects ; BIM implementation ; stakeholders ; barriers ; construction product ; servitization ; level of evidence ; level curves ; ground slopes ; embankments ; road and rail design ; 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: 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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  • 27
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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: 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: 2024-04-11
    Description: The world’s energy demand is still growing, partly due to the rising population, partly to increasing personal needs. This growing demand has to be met without increasing (or preferably, by decreasing) the environmental impact. One of the ways to do so is the use of existing low-temperature heat sources for producing electricity, such as using power plants based on the organic Rankine cycle (ORC) . In ORC power plants, instead of the traditional steam, the vapor of organic materials (with low boiling points) is used to turn heat to work and subsequently to electricity. These units are usually less efficient than steam-based plants; therefore, they should be optimized to be technically and economically feasible. The selection of working fluid for a given heat source is crucial; a particular working fluid might be suitable to harvest energy from a 90 ℃ geothermal well but would show disappointing performance for well with a 80 ℃ head temperature. The ORC working fluid for a given heat source is usually selected from a handful of existing fluids by trial-and-error methods; in this collection, we demonstrate a more systematic method based on physical and chemical criteria.
    Keywords: adiabatic expansion ; isentropic expansion ; T-s diagram ; working fluid classification ; optimization ; single-screw expander ; vapor–liquid two-phase expansion ; thermal efficiency ; net work output ; heat exchange load of condenser ; cis-butene ; HFO-1234ze(E) ; ORC working fluids ; temperature–entropy saturation curve ; saturation properties ; wet and dry fluids ; ideal-gas heat capacity ; Rankine cycle ; ORC ; biomass ; fluid mixtures ; hydrocarbons ; working fluid ; selection method ; volumetric expander ; thermodynamic analysis ; wet zeotropic mixture ; single screw expander ; organic Rankine cycle ; R441A ; R436B ; R432A ; T–s diagram ; molecular degree of freedom ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    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: 2024-04-11
    Description: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
    Keywords: TA1-2040 ; T1-995 ; n/a ; Stackelberg game ; MILP ; optimal congestion threshold ; magnetic field mitigation ; simulation ; multi-objective particle swarm optimization ; virtual power plant ; internal defect ; day-ahead load forecasting ; neural network ; modular predictor ; multi-objective particle swarm optimization algorithm ; stochastic optimization ; dragonfly algorithm ; unit commitment ; metaheuristic ; multi-population method (MP) ; optimization ; tabu search ; considerable decomposition ; loss minimization ; active distribution system ; islanded microgrid ; dynamic solving framework ; feature selection ; electric energy costs ; power factor compensation ; dependability ; interactive load ; overhead ; energy internet ; evolutionary computation ; wind power ; developed grew wolf optimizer ; underground ; ETAP ; fuzzy algorithm ; electric vehicles ; Schwarz’s equation ; evolutionary algorithms ; electric power contracts ; congestion management ; optimizing-scenarios method ; building energy management system ; particle encoding method ; ringdown detection ; HOMER software ; DC optimal power flow ; prosumer ; constrained parameter estimation ; distributed generations (DGs) ; strong track filter (STF) ; transient stability ; calibration ; cost minimization ; radiance ; decentralized and collaborative optimization ; hybrid renewable energy system ; renewable energy sources ; rural electrification ; distribution network reconfiguration ; interval variables ; optimization methods ; particle swarm optimization ; hierarchical scheduling ; micro grid ; AC/DC hybrid active distribution ; consensus ; artificial bee colony ; CCHP system ; data center ; support vector machine ; affinity propagation clustering ; extended Kalman filter ; affine arithmetic ; linear discriminant analysis (LDA) ; current margins ; heterogeneous networks ; Cameroon ; hybrid method ; distributed heat-electricity energy management ; discrete wind driven optimization ; fitness function ; cross-entropy ; GenOpt ; wind energy ; demand uncertainty ; UC ; off-design performance ; genetic algorithm ; energy storage ; the biomimetic membrane computing ; power system optimization ; electric vehicle ; power architectures ; economic load dispatch problem (ELD) ; runner-root algorithm (RRA) ; Cable joint ; battery energy storage system ; load curtailment ; integration assessment ; power system unit commitment ; artificial lighting ; power flow ; hybrid membrane computing ; two-point estimation method ; low-voltage networks ; demand bidding ; non-sinusoidal circuits ; energy flow model ; power transfer distribution factors ; sustainability ; HVAC system ; voltage deviation ; street light points ; radial basis function ; energy storage system ; charging/discharging ; power systems ; intelligent scatter search ; MV/LV substation ; optimal power flow ; stochastic state estimation ; eight searching sub-regions ; chaos optimization algorithm (COA) ; mutual information theory ; inter-turn shorted-circuit fault (ISCF) ; C&I particle swarm optimization ; multiobjective optimization ; passive shielding ; sub-Saharan Africa ; micro-phasor measurement unit ; geometric algebra ; bio-inspired algorithms ; adaptive consensus algorithm ; energy management ; PCS efficiency ; multi-stakeholders ; generalized generation distribution factors ; the genetic algorithm based P system ; JAYA algorithm ; thermal probability density ; power optimization ; pumped-hydro energy storage ; smart grid ; two-stage feature selection ; piecewise linear techniques ; photovoltaic ; SOCP relaxations ; switched reluctance machine (SRM) ; optimal reactive power dispatch ; optimal operation ; controllable response ; off-grid ; active shielding ; transformer-fault diagnosis ; IEEE Std. 80-2000 ; principal component analysis ; demand response ; 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: 2024-03-28
    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: 2024-03-27
    Description: Marine habitats are promising sources to identify novel organisms and compounds. A total of 70% of the planet’s surface is covered by ocean, and little is known about the biosphere within these habitats. In the last few years, numerous novel bioactive compounds or secondary metabolites from marine environments have been described. This is, and will be, a promising source of candidate compounds in pharma research and chemical biology. In recent years, a number of novel techniques have been introduced to the field and it has become easier to actually (bio-)prospect compounds such as enzyme inhibitors. Those novel compounds then need to be characterized and evaluated in comparison to well-known representatives. This Special Issue focuses on the description of novel enzyme inhibitors of marine origin, including bioprospecting, omic approaches, and structural and mechanistic aspects.
    Keywords: sponge Monanchora pulchra ; pentacyclic guanidine alkaloids ; GH36 α-galactosidase ; GH109 α-N-acetylgalactosaminidase ; slow-binding irreversible inhibitor ; monanchomycalin B ; monanhocidin A ; normonanhocidin A ; Alzheimer′s disease ; BACE1 ; acetylcholinesterase ; in silico docking ; phlorotannins ; Ulva intestinalis ; ACE inhibitory peptide ; optimization ; purification ; structural identification ; molecular docking ; secondary metabolites ; Mycosphaerella sp. ; asperchalasine ; α-glucosidase ; kinase inhibitors ; drug development ; marine natural products ; inhibitor ; macroalgae ; marine fish ; protease ; Ulva ohnoi ; functional annotation ; structure–function relation ; natural products ; bioactives ; enzyme inhibition ; inactivation ; marine bacteria ; marine fungi ; marine sponges ; 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: 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: 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: 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: 2023-12-20
    Description: Some of the most beautiful studies in Mathematics are related to Symmetry and Geometry. For this reason, we select here some contributions about such aspects and Discrete Geometry. As we know, Symmetry in a system means invariance of its elements under conditions of transformations. When we consider network structures, symmetry means invariance of adjacency of nodes under the permutations of node set. The graph isomorphism is an equivalence relation on the set of graphs. Therefore, it partitions the class of all graphs into equivalence classes. The underlying idea of isomorphism is that some objects have the same structure if we omit the individual character of their components. A set of graphs isomorphic to each other is denominated as an isomorphism class of graphs. The automorphism of a graph will be an isomorphism from G onto itself. The family of all automorphisms of a graph G is a permutation group.
    Keywords: QA1-939 ; Q1-390 ; split-quaternion ; edge even graceful labeling ; graph automorphisms ; ring ; multi-state system ; Electric multiple unit trains ; join product ; nonlinear ; parameter selection ; Fuzzy sets ; cylinder grid graph ; high-level maintenance planning ; split-octonion ; granularity importance degree ; geometric arithmetic index ; ?-convex set ; partition comparison ; optimization ; automorphism group ; quantum B-algebra ; quotient algebra ; fuzzy normed ring ; graph partitioning ; fuzzy normed ideal ; algorithm ; 600-cell ; transmission regular graph ; emergency routes ; cyclic associative groupoid (CA-groupoid) ; disjoint holes ; quasi-maximal element ; logical conjunction operation ; time window ; three-way decisions ; 2-tuple ; atom-bond connectivity index ; attribute reduction ; orbit matrix ; line graph ; Chebyshev polynomials ; multi-granulation rough intuitionistic fuzzy sets ; group decision making ; cyclic permutation ; normed space ; complexity ; binary polyhedral group ; fuzzy implication ; intuitionistic fuzzy sets ; (generalized) distance matrix ; dodecahedron ; cacti ; isoperimetric number ; quality function deployment ; embedding ; matroid ; chaotic system ; KG-union ; involution AG-group ; triangular norm ; graph clustering ; distance matrix (spectrum) ; filter ; pessimistic (optimistic) multigranulation neutrosophic approximation operators ; maximum ; planar point set ; pseudo-BCI algebra ; neutrosophic rough set ; Abel–Grassmann’s group (AG-group) ; decomposition theorem ; synchronized ; random graph ; strongly regular graph ; regularization ; linear discrete ; operator ; genetic algorithm ; commutative group ; distance signlees Laplacian matrix (spectrum) ; construction methods ; unicyclic ; selective maintenance ; rough set ; edge detection ; co-permanental ; gear graph ; graceful labeling ; rough intuitionistic fuzzy sets ; variant CA-groupoids ; quasi-alternating BCK-algebra ; bicyclic ; hypernear-ring ; multi-granulation ; graph ; crossing number ; pyramid graphs ; q-filter ; icosahedron ; generalized bridge molecular graph ; coefficient ; 0–1 programming model ; polar grid graph ; finite automorphism groups ; engineering characteristics ; edge graceful labeling ; social network ; invariant measures ; convex polygon ; dominance relation ; good drawing ; spectral radius ; logical disjunction operation ; Abel–Grassmann’s groupoid (AG-groupoid) ; metro station ; multitransformation ; particle swarm algorithm ; aggregation operator ; cancellative ; neutrosophic set ; fuzzy logic ; human reliability ; performance evaluation ; complete lattice ; quadratic polynomial ; Detour–Harary index ; Laplacian operation ; fixed point ; graded rough sets ; generalized permanental polynomial ; basic implication algebra ; intersection graph ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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: 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: 2023-04-05
    Description: Analytical chemistry is bound to face growing challenges in the future, especially for the quantification of trace analytes in complex matrices. Although the development of increasingly sensitive and specific instrumental techniques has achieved remarkable results, sample preparation is still a fundamental step, often limiting the whole workflow. In the context spawned by the recent international environmental policies that are responsive to the rapport of human activities with the surrounding environment, chemistry cannot hesitate to give its contribution. Almost pioneeringly, in analytical chemistry, we have been talking for some time about “green analytical chemistry”, its guiding principles, and the development of eco-friendly analytical approaches. However, the new and still open challenge is advance not only in eco-compatibility but mainly in eco-sustainability, rooting the future of analytical chemistry in new perspective aimed at minimizing the environmental impact of the analytical process by placing environmental cost as a priority aim on par with analytical performance. This is the reprint of a Special Issue that includes contributions focused on the progress in analytical chemistry based on the arguments previously raised and discussed, with a particular reference to eco-compatibility and eco-sustainability. The contributions include the development of low environmental impact methods and/or techniques or their applications.
    Keywords: dyes ; fatty acids ; microextraction ; magnetic ionic liquid ; sample preparation ; dispersive liquid–liquid microextraction ; single drop microextraction ; GC ; HPLC ; ionic liquids ; denitrogenation ; extraction ; pyridine ; quinoline ; aniline ; simulated oil ; adsorption ; gum Arabic ; magnetite ; nano-composite ; lead(II) ; mercury removal ; magnetic ; manganese ; cobalt ; iron ; spinel ; crosslinker ; phenolic acids ; vinylimidazole ; anion exchanger ; co-polymer ; solid-phase extraction ; sustainable analytical sample preparation ; indoor air quality ; fragrances ; indoor pollution ; endocrine disruptors ; analytical method ; GC-MS ; musks fragrances ; emerging contaminants ; α-isomethylionone ; halloysite nanotubes ; organosilyl-sulfonated halloysite nanotubes ; solid phase extraction ; pyrrolizidine alkaloids ; honey ; chlorzoxazone ; greener HPTLC ; paracetamol ; simultaneous detection ; validation ; AGREE ; traditional HPTLC ; vitamin D3 ; pulsed electric field ; bioactive compounds ; optimization ; mushrooms ; Agaricus bisporus ; phenyboronic-acid-functionalized ; Fe3O4 magnetic nanoparticles ; ortho-dihydroxy-containing compounds ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 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: 2023-04-05
    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: 2024-04-09
    Description: This book, which is a reprint of articles published in the Special Issue "Advances in Hydrogen Energy" in Energies, seeks to contribute to disseminating the most recent advancements in the field of hydrogen energy. It does so by presenting scientific works from around the world covering both modeling and experimental analysis. The focus is placed on research covering all aspects of the hydrogen energy, from production to storage and final use, including the development of other easy to transport and versatile hydrogen-based energy carriers via the power-to-x (PtX) route, such as ammonia and methanol.Hydrogen energy research and development has attracted growing attention as one of the key solutions for clean future energy systems. In order to reduce greenhouse gas emissions, governments across the world are developing ambitious policies to support hydrogen technology, and an increasing level of funding has been allocated for projects of research, development, and demonstration of these technologies. At the same time, the private sector is capitalizing on the opportunity with larger investments in hydrogen technology solutions.While intense research activities have been dedicated to this field, several issues require further research prior to achieving full commercialization of hydrogen technology solutions. This book addresses some of these issues by presenting detailed models to optimize design strategies and operating conditions for the entire hydrogen value chain, covering production via electrolysis, storage and use in different types of fuel cells and in different forms of energy carriers.
    Keywords: methanol steam reforming ; hydrogen production ; exhaust waste heat ; rib microreactor ; air-cooled proton exchange membrane fuel cells ; adiabatic fuel cell temperature ; thermodynamic analysis of proton exchange membrane fuel cells ; ammonia ; hydrogen ; production ; storage ; utilization ; CO2 free ; hydrogen storage ; hydrogen compression ; non-mechanical compressors ; electrochemical compressors ; activated carbons ; computational analysis ; high-pressure methanol steam reformer ; phase change heat transfer ; high pressure steam condensation ; high temperature PEM ; fuel cell ; electro-osmotic drag ; polymer electrolyte membrane ; proton exchange membrane fuel cells ; proton exchange membrane electrolyzer cells ; membrane water transport ; elementary reactions steps ; rate-determining step ; solid oxide electrolysis cell ; multi-physics ; optimal rib/pitch ratio ; parameters sensitivity ; analytical expression ; SOFC ; system ; model ; stack test ; hydrogen systems ; cryogenics ; vortex tubes ; computational fluid dynamics ; low melting metal ; Al-based alloy ; metal smelting ; fuel cells ; hydrogen hybrid energy system ; thermography ; CFD modeling ; heat transfer ; optimization ; PEM ; fault ; diagnosis ; electrochemical impedance spectroscopy ; distribution of relaxation times ; reformate ; proton exchange membrane fuel cell ; gas diffusion layer ; microscopic porous layer ; fracture ; two phase flow ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    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: 2023-01-05
    Description: The papers published in this Special Issue report on recent studies investigating the exploitation of by-products produced by the food industry. The topics investigated include the extraction setups used for valuable food waste by-products and their applications as adjuncts to food preparation; the appropriate selection of solvents and extraction processes; and the interactions between extracted fractions and supplementary foods. The papers evaluate a wide variety of foodstuffs and provide results regarding the extension their shelf-lives and activities as functional foods.
    Keywords: by-product ; rheological properties ; optimization ; melting profile ; antioxidant activity ; mayonnaise ; olive mill wastewater ; oxidative stability ; phenolic extract ; pork ; fatty acid ; amino acid ; mineral ; meat ; sustainability ; spent biomass ; prebiotic potential ; enzymatic digestion ; biorefinery ; circular economy ; by-products ; ovine scotta ; bioactive peptides ; bromelain ; pancreatin ; dipeptidyl peptidase IV inhibition ; ovine second whey cheese ; enzymatic hydrolysis ; wasted bread ; bioprocessing ; lactic acid bacteria ; soil amendment ; byproducts ; vegetable oil industry ; phenolics ; flavonoids ; photochemiluminescence ; cold-pressed oil by-product ; gum ; thixotropic behavior ; low-fat vegan mayonnaise ; thickeners ; gelling agents ; tomato pomace ; lycopene ; β-carotene ; extraction ; food by-products ; deep eutectic solvents ; non-thermal drying ; stilbene ; vine shoots ; viticulture waste ; trans-resveratrol ; ε-viniferin ; Italian varieties ; no-waste ; omega-3 ; smart sensors ; reuse ; fish oil industry ; recovery ; chemometrics ; lipid profile ; aquafaba ; cold-pressed oils ; confocal laser scanning microscopy ; egg replacement ; physicochemical properties ; radical scavenging activity ; vegan mayonnaise ; Amberlite resin ; hazelnut skin ; polyphenols ; Pinot noir pomace ; solid–liquid extraction ; valorization ; fatty acids ; derivatization ; cranberry pomace ; dietary fiber ; technological properties ; kiwi byproducts ; probiotic ; prebiotic ; Lactobacillus casei ; ingredients ; functional foods ; microbial spoilage ; lipidic oxidation ; antioxidant ; predictive microbiology ; food preservation ; food safety ; sustainable strategy ; by-product reuse ; kinetic parameters ; Olea europaea ; waste reuse ; inulin ; high polymerization degree ; functional pasta ; glycemic index ; prebiotics growth ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The sustainable development of our planet depends on the use of energy. The increasing world population inevitably causes an increase in the demand for energy, which, on the one hand, threatens us with the potential to encounter a shortage of energy supply, and, on the other hand, causes the deterioration of the environment. Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play their role by affecting the behavior of households and companies and by causing behavioral change oriented to energy stewardship, with an overall switch to renewable energy resources. This reprint provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate driving societies toward long-term energy efficiency.
    Keywords: natural resources ; globalization ; energy ; nonparametric causality in quantiles ; energy security ; power market ; near-zero emission technologies ; oxy-fuel combustion cycles ; emission rights sales mechanism ; economic assessment ; Oil Companies ; innovations ; investments in R&amp ; D ; forecasting the Innovation activities ; industry 4.0 ; Agenda 2030 ; sustainable human development ; measuring development ; energy sustainability ; indirect measurement ; composed indexes ; forecasting ; linear regression ; planning ; polynomial regression ; power supply ; green building ; housing projects management ; sustainable construction ; renewable energy sources ; real estate developers ; deviation ; energy dependence ; energy efficiency management ; energy saving ; cost ; risk limit ; energy industry ; energy supply ; energy intensity ; energy efficiency ; energy industry risks ; dilemma ; development ; Kazakhstan ; energy transitions ; Latin America ; power system ; sustainability ; economic growth ; pollution ; renewable energy ; oil and gas industry ; investments ; rating ; competitiveness ; financial analysis ; risk ; profitability ; merchandising technologies ; correlation ; scenario ; social development ; optimization ; investment ; financial portfolio ; financial leverage ; integral rating ; industry rating ; high-tech company ; decision-making ; minimax ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
    Keywords: machine learning ; random forest ; particle swarm optimization ; Vietnam ; Seepage ; Earth-fill dam ; Experimental analysis ; Numerical analysis ; SEEP/W model ; Dam safety and sustainability ; highway construction ; environmental protection ; soil loss ; erosion control ; risk ; hazard ; vulnerability ; landslides ; multicriteria assessment ; analytical hierarchy process ; calcium sulfoaluminate cement ; stabilized soil ; unconfined compressive strength ; hydration products ; microstructure ; sustainability ; geosynthetics ; poly(lactic acid) ; biopolymers ; geogrids ; tensile strength ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of testing of different materials and elements in civil engineering, from building materials to building structures. The current trend in the development of testing of materials and elements in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
    Keywords: rock bolt ; grouting quality ; dynamic response ; natural frequency ; finite element method ; monitoring ; historical masonry wall ; hygrothermal processes ; internal insulation ; testing of building materials ; test uncertainty ; validation of test methods ; sustainable test methods ; recycling ; foamed asphalt mixtures with cement (FAC) ; base layer ; reclaimed asphalt pavement (RAP) ; fatigue durability ; GFRP ; FRP reinforcement ; shear ; capacity ; reinforced concrete beams ; column ; stiffness ; FRCM ; PBO mesh ; PBO–FRCM ; carpentry joints ; scarf and splice joints ; stop-splayed scarf joints (‘bolt of lightning’) ; static behaviour ; experimental research ; concrete ; non-destructive testing ; ultrasounds ; ultrasonic tomography ; acoustic methods ; defects ; diagnostic ; detection ; convolutional neural networks ; transfer learning ; monitoring FBG ; power transmission tower ; civil engineering ; X-ray microtomography ; microstructure characteristics ; infiltration damage ; high-strength concrete ; steel fibres ; flexural tensile strength ; fracture energy ; numerical analysis ; concrete floors ; compressive strength ; strength distribution ; industrial floors ; ultrasound tests ; ventilated facades ; large-scale facade model ; fire safety ; fiber cement board ; large-slab ceramic tile ; plasterboards ; moisture content ; hydration processes ; mechanical properties ; ultrasound measurements ; ESD resin ; expansion joint ; quasi-plastic material ; energy absorption ; asphalt mix ; compaction index ; volumetric parameters ; stiffness modulus ; moisture resistance ; roughness ; texture ; close-range photogrammetry ; bond strength ; random field generation ; semivariograms ; hybrid truss bridge ; steel–concrete connection joint ; mechanical behavior ; failure mode ; strain ; static test ; static elastic modulus ; dynamic elastic modulus ; machine learning ; P-wave ; S-wave ; resonance frequency test ; nondestructive method ; Al–Ti laminate ; fracture ; acoustic emission diagnostic ; pattern recognition ; clustering AE signal ; storage systems ; tab connector ; flexural test ; capable design moment ; restrained ring test ; autogenous shrinkage cracking ; concrete cracking test ; concrete shrinkage cracking test ; restrined ring calibration ; cement–fiber boards ; acoustic emission method ; k-means algorithm ; wavelet analysis ; fiber composites ; ground penetrating radar (GPR) ; HMA dielectric constant ; road pavement thickness estimation ; early age concrete ; damage processes detection before loading ; strength of structures ; aggregate ; classification ; wire mesh ; roundness ; tilting angle ; opening size ; concrete centrifugation ; morphology ; image processing ; porosity ; cement ; waste paper sludge ash (WPSA) ; controlled low-strength material (CLSM) ; unconfined compressive strength ; bearing capacity ; backfill material ; P-wave velocity ; amplitude attenuation ; resistivity ; CT scan ; sandstone ; damage variable ; nuclear magnetic resonance ; spin-lattice relaxometry ; proton ; hydration kinetics ; superplasticizer ; ready-mixed concrete ; construction material ; quality assessment ; conformity criteria ; statistical-fuzzy method ; FRTP ; rivet ; connection ; polyethylene pipe ; mechanical properties of polyethylene ; resistance strain ; computer simulation ; residual shear stress ; particle crushing ; ring shear test ; particle flow code (PFC2D) ; frictional work ; fibre-reinforced concrete ; recycled steel fibres ; micro-computed tomography ; scanning electron microscopy ; tensile strength ; reinforced concrete ; diagnostic testing ; corrosion ; carbonation ; galvanostatic pulse method ; phase composition analysis ; X-ray analysis ; thermal analysis ; quasi-brittle cement composites ; low-module polypropylene fibres ; elastic range ; digital image correlation ; Arcan shear test ; wood ; orthotropic shear modulus ; elastic-plastic material ; shear wave velocity ; sand ; bender elements test ; grain-size characteristics ; complex modulus ; shrinkage analysis ; reclaimed asphalt ; mineral–cement emulsion mixtures ; cement dusty by-products (UCPPs) ; degradation of glass panels ; effective area ratio ; relative mass loss ; visible light transmittance ; windblown sand ; wood-plastic composites ; methods of testing resistance to fungi ; methods of assessment ; ground-penetrating radar (GPR) ; non-destructive techniques (NDT) ; corrosion of reinforcement ; slip resistance ; granite floor ; slip resistance value ; ramp test ; acceptance angle ; sliding friction coefficient ; comparability of test methods ; wall temperature ; fibre bragg grating sensors ; freeze-thaw cycles ; signal analysis ; short-time Fourier transform ; fast Fourier transform ; brine ; sodium chloride ; X-ray ; partition walls ; brick walls ; bending strength ; cracking ; post-tension ; cable ; girder ; destructive test ; non-destructive test ; structural health monitoring ; safety ; monitoring fibre Bragg grating ; mining areas ; strain/stress distribution ; geopolymer concrete ; fly-ash ; bottom-ash ; neural network ; sustainability ; industrial waste management ; flexural strength ; cladding ; AE acoustic emission ; micro-events ; sound spectrum ; traditional and quasi-brittle cement composites ; residual-state creep ; saturation front ; landslides ; erosional stability ; laboratory testing ; grout mixtures ; groundwater ; test apparatus ; testing ; building materials ; elements ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint aims to address the challenges modern-day buildings face in the context of high energy and resource consumption and climate change. One of the ways to address the issues is holistic design and operation of high-performance buildings in the area of energy efficiency, occupant health, and comfort. All this should be achieved through synergic interconnectedness between parameters such as the indoor–outdoor environment, sustainability, and resilience. Through different chapters, this reprint highlights the key areas, namely, the optimization of building design parameters, the impact of the use of modern-day phase-change materials, the adaptation of occupants and buildings to climate change, the mitigation of urban overheating by cool roofs, and reducing energy demand and CO2 emissions.
    Keywords: climate change ; bioclimatic design ; passive design ; energy efficiency ; overheating ; building resilience ; robustness ; shape factor ; building ; thermal envelope ; energy demand ; CO2 emissions ; white roofs ; cool roofs ; reflective material ; cost-benefit ; energy savings ; urban heat island ; thermal comfort ; indoor environmental quality ; educational buildings ; energy consumptions ; local discomfort ; building energy retrofitting ; phase change materials ; aerogel render ; heat stress risk ; emission ; lifecycle cost ; peak cooling load ; residential building ; building envelope ; multi-objective genetic algorithm ; TRNSYS ; climate zone ; multi-criteria decision making ; CRITIC ; TOPSIS ; capture devices ; variables ; field surveys ; thermal perceptions ; adaptive actions ; hostel dormitories ; composite climate of India ; reflective materials ; mitigation ; outdoor comfort ; visual comfort ; heat stress ; optimization ; skyscrapers ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: 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: 2024-04-11
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book celebrates the life, work and influence of Professor Roger W.H. Sargent of Imperial College London. It does so through a range of original contributions that span the wide academic and industry interests of Professor Sargent. Roger Sargent passed away in late 2018, but his legacy lives on through his enormous academic tree, which traces to the early 1960s. That huge body of work has also had significant impacts on industrial practices. Roger was regarded as “the father of Process Systems Engineering (PSE)”. This area of Chemical Engineering continues to influence the modelling, design, control, optimization and integrated performance of industrial and related processes. This book highlights some of those impacts and the ongoing importance of PSE in helping to solve some of the grand challenges of our time.
    Keywords: input-output model ; fuzzy optimization ; process synthesis ; preliminary stage design ; process systems engineering ; energy systems engineering ; process design ; optimization ; nonlinear programming ; process monitoring ; nonlinear principal component analysis ; parallel neural networks ; autoassociative neural network ; big data ; process scheduling ; process system engineering ; mixed-integer programming ; scheduling ; process control ; integration ; distribution ; planning ; oil supply chain ; robust optimization ; uncertainty ; bio-jet diesel ; co-hydrotreating ; hydrodesulphurisation ; hydrodeoxigenation ; reactive distillation ; coproduction ; Lurgi syngas ; cryogenic separation ; methanol synthesis ; LNG ; symmetry ; quadratic optimization ; quadratically-constrained quadratic optimization ; process modeling ; mathematical programming ; MINLP ; generalized disjunctive programming ; design ; higher education ; curricula ; visualization ; 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: 2024-03-27
    Description: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
    Keywords: Direct Normal Irradiance (DNI) ; IFS/ECMWF ; forecast ; evaluation ; DNI attenuation Index (DAI) ; bias correction ; nowcast ; meteorological radar data ; optical flow ; deep learning ; Bates–Granger weights ; uniform weights ; (REG) ARIMA ; ETS ; Hodrick–Prescott trend ; Google Trends indices ; Himalayan region ; streamflow forecast verification ; persistence ; snow-fed rivers ; intermittent rivers ; costumer relation management ; business to business sales prediction ; machine learning ; predictive modeling ; microsoft azure machine-learning service ; travel time forecasting ; time series ; bus service ; transit systems ; sustainable urban mobility plan ; bus travel time ; learning curve ; forecasting ; production cost ; cost estimating ; semi-empirical model ; logistic map ; COVID-19 ; SARS-CoV-2 ; PV output power estimation ; PV-load decoupling ; behind-the-meter PV ; baseline prediction ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Climate change is becoming visible today, and so this book—through including innovative solutions and experimental research as well as state-of-the-art studies in challenging areas related to sustainable energy development based on hybrid energy systems that combine renewable energy systems with fuel cells—represents a useful resource for researchers in these fields. In this context, hydrogen fuel cell technology is one of the alternative solutions for the development of future clean energy systems. As this book presents the latest solutions, readers working in research areas related to the above are invited to read it.
    Keywords: fuel cell powered vehicle ; medium- and heavy-duty trucks ; component sizing ; ownership cost ; optimization ; hybrid power systems ; renewable energy sources ; fuel cell systems ; required-power-following control ; fuel economy ; permanent magnet synchronous generator ; fault ride-through ; interval type-2 fuzzy logic system ; wind energy conversion ; proton exchange membrane fuel cell ; hydrogen economy ; fueling flows control ; global extremum seeking ; load following ; matlab ; simulink ; real-time capability ; dynamic fuel cell model ; electricity distribution networks ; optimal capacitor allocation ; Genetic Algorithm ; Particle Swarm Optimization ; Bat Algorithm ; Whale Algorithm ; Sperm-Whale Algorithm ; alternative energy ; energy efficiency ; fuel cell ; hydrogen energy ; stationary application ; electrical vehicle ; AC charging station in mode 3 ; PLC ; steam methane reforming ; steam methanol reforming ; electrical efficiency ; exergy efficiency ; LNG ; Stirling engine ; solar concentrator ; automation system ; human–machine interface ; sensors ; direct methanol fuel cell ; multi stacks ; portable power ; energy management system ; Internet of Things ; long-term ; in-field test ; 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: 2024-04-11
    Description: This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
    Keywords: Industry 4.0 ; cognitive manufacturing ; cognitive load ; human–computer interaction ; 6GIIoE priorities ; 6GIIoE challenges ; 6GIIoE applications ; information system ; sequential methodology ; 6GIIoE theoretical framework ; circular economy ; circular building ; implementation strategies ; design strategies ; circular resource flows ; digital twin ; digital model ; system optimization ; predictive maintenance ; artificial and human intelligence ; security ; risks and risk management ; quality of life ; common welfare ; socio-political assessment ; assembly ; process planning systems ; concurrent engineering ; automotive industry applications ; manufacturing industry applications ; artificial intelligence ; sustainable development ; construction ; civil engineering ; machine learning ; construction engineering ; cognitive data intelligence ; cognitive healthcare ; tiny machine learning ; 6GCIoHE theoretical framework ; data science ; statistical data processing ; predictive analytics ; classification ; clustering ; labor productivity ; health management ; health-saving strategies ; electric power industry ; bridge ; expansion joint ; joint gap ; smart bridge maintenance equipment ; sensor ; structural health monitoring ; line-scan camera ; machine vision ; change management ; COVID-19 ; decision-support model ; digitization ; employee motivation ; employee satisfaction ; human resources ; software tool ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This multidisciplinary book covers a wide range of topics addressing critical challenges for advancing the understanding and management of shale oil and shale gas resources. Both fundamental and practical issues are considered. By covering a variety of technical topics, we aim to contribute to building a more integrated perspective to meet major challenges faced by shale resources. Combining complementary techniques and examining multiple sources of data serve to advance our current knowledge about these unconventional reservoirs. The book is a result of interdisciplinary and collaborative work. The content includes contributions authored by active scientists with ample expertise in their fields. Each article was carefully peer-reviewed by researchers, and the editorial process was performed by an experienced team of Senior Editors, Guest Editors, Topic Editors, and Editorial Board Members. The first part is devoted to fundamental topics, mostly investigated on the laboratory scale. The second part elaborates on larger scales (at near-wellbore and field scales). Finally, two related technologies, which could be relevant for shale plays applications, are presented. With this Special Issue, we provide a channel for sharing information and lessons learned collected from different plays and from different disciplines.
    Keywords: TA1-2040 ; T1-995 ; fracture mode ; Multi Finger Caliper ; sensitivity analysis ; shale oil ; borehole stability ; shale reservoir ; XRD ; XRF ; shear deformation ; optimization ; DSC ; EDX ; imbibition ; oil shale ; shale ; pore size distribution ; seismic wavefield ; unconventional ; fracturing fluid ; shale gas reservoir ; elastomer seal ; oil production ; leaching ; elemental analysis ; Chang 7 reservoir ; shale reservoirs ; Wufeng-Longmaxi shale ; TGA ; fracturing ; solid-liquid extraction ; fuling gas field ; Niutitang formation ; isolated organic matter ; SEM ; safety levels of activity ; well integrity ; flowback fluid ; osmotic hydration ; anisotropy ; surface hydration ; ionic stabilizer ; quantitative evaluation ; tight oil recovery ; FTIR ; fluid-solid-heat coupling ; liner hanger ; dynamic crack initiation toughness ; Jordan ; numerical simulation ; organic matter pores ; shale drilling fluid ; finite element analysis ; multistage fracturing ; well ; negative extreme swelling ratio ; volume fracturing ; contact pressure ; NSCB specimen ; 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: 2024-03-28
    Description: We are honored to announce this reprint, containing contributions from the top experts in the field of logic and fuzzy logic. In total, this reprint consists of 10 papers that were selected from more than 20 submissions. The 10 papers comprising the reprint are the product of re-known experts in fuzzy logic from all over the world, such as Canada, Poland, China, Slovakia, Lithuania, Turkey, Pakistan, Germany, Serbia, Portugal, Taiwan, Norway, India, Saudi Arabia, Thailand, and Mexico. We expect that the papers comprising the Special Issue will contribute to an advancement in the state of the art in the fields of logic and also fuzzy logic.
    Keywords: fuzzy-sets ; fuzzy-random variables ; distribution generating function ; fuzzy binomial distribution ; Fuchs distribution ; MADM ; Aczel–Alsina operations ; IVIFNs ; IVIF Aczel–Alsina geometric aggregation operators ; interval type-3 fuzzy theory ; fuzzy control ; manufacturing ; Vietè’s method ; Newton–Raphson method ; regula falsi method ; testing of algorithms ; foundations of mathematics ; arithmetic ; set theory ; spatial fuzzy C-means ; COVID-19 ; rustbelt states ; extrapolation ; interpolation ; proving ; refuting ; improving ; fuzzy set ; linear Diophantine fuzzy sets ; linear Diophantine fuzzy relations ; level cut relations ; rough approximations on two universes ; decision analysis ; multi-valued logic trees ; hydraulic proportional valve ; weighting factors ; optimization ; granular computing ; formal concept analysis ; intuitionistic fuzzy sets ; periodicity ; spatial and temporal aspects ; knowledge discovery ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Beer is a beverage with more than 8000 years of history, and the process of brewing has not changed much over the centuries. However, important technical advances have allowed us to produce beer in a more sophisticated and efficient way. The proliferation of specialty hop varieties has been behind the popularity of craft beers seen in the past few years around the world. Craft brewers interpret historic beer with unique styles. Craft beers are undergoing an unprecedented period of growth, and more than 150 beer styles are currently recognized. This Special Issue, Brewing and Craft Beer, comprises nine different works by researchers from five continents (North America, South America, Europe, Africa, and Oceania). This Special Issue reflects thus a broad perspective on the most important questions that concern the researchers in different parts of the world.
    Keywords: QH301-705.5 ; QD415-436 ; Q1-390 ; polyphenols ; n/a ; nutrient ; audible sound ; wet milling ; brewing technology ; robotics ; fast-screening ; lactose ; image analysis ; bottle refermentation ; beer aging ; sensory attributes ; brewing ; automation ; bitterness ; stout beer ; beer ; craft beer ; foamability ; Safrari ; adjuncts ; fermentation rate ; barley milling ; preference ; germ ; beer wort ; machine learning ; carbonation ; quality ; FAN ; granulometry ; sensory evaluation ; coffee ; beer acceptability ; computer vision ; fermentation ; economic contribution analysis ; short-chain fatty acids ; local value chain ; AEDA ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
    Keywords: SVM ; budding rate ; UAV ; geometric consistency ; radiometric consistency ; point clouds ; ICP ; reflectance maps ; vegetation indices ; Parrot Sequoia ; artificial intelligence ; precision agriculture ; agricultural robot ; optimization algorithm ; online operation ; segmentation ; coffee leaf rust ; machine learning ; deep learning ; remote sensing ; Fourth Industrial Revolution ; Agriculture 4.0 ; failure strain ; sandstone ; digital image correlation ; Hill–Tsai failure criterion ; finite element method ; reference evapotranspiration ; moisture sensors ; machine learning regression ; frequency-domain reflectometry ; randomizable filtered classifier ; convolutional neural network ; U-Net ; land use ; banana plantation ; Panama TR4 ; aerial photography ; remote images ; systematic mapping study ; agriculture ; applications ; total leaf area ; mixed pixels ; Cabernet Sauvignon ; NDVI ; Normalized Difference Vegetation Index ; precision viticulture ; 3D model ; spatial vision ; fertirrigation ; teaching–learning ; spectrometry ; Sentinel-2 ; pasture quality index ; normalized difference vegetation index ; normalized difference water index ; supplementation ; decision making ; digital agriculture ; grape yield estimate ; berries counting ; Dilated CNN ; machine learning algorithms ; classification performance ; winter wheat mapping ; large-scale ; water stress ; Prunus avium L. ; stem water potential ; low-cost thermography ; thermal indexes ; canopy temperature ; non-water-stressed baselines ; non-transpiration baseline ; soil moisture ; andosols ; image processing ; greenhouse ; automatic tomato harvesting ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 68
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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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    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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    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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Gastrointestinal (GI) cancer is a major cause of morbidity and mortality in the world. Since early diagnosis and optimal treatment selection are crucial to improving the prognosis of these diseases, the discovery of useful biomarkers has the potential to greatly reduce their burden. Recent technical and mechanical developments have allowed for the detection of tiny differences in various factors modified in physical conditions, which could contribute to the discovery of novel biomarkers for some diseases.In this Special Issue, we aim to focus on novel biomarkers for GI cancers, including esophageal cancer, gastric cancer, colorectal cancer, liver cancer, pancreatic cancer and biliary cancer. In addition, any samples (tissue, blood, urine and feces) are useful as biomarker sources, although body-fluid-based biomarkers are promising as diagnostic biomarkers due to their noninvasiveness. This Special Issue aims to collect novel insights clarifying the current situation and future perspective in this field.
    Keywords: colorectal cancer ; advanced adenoma ; screening ; stool ; mRNA ; n/a ; cancer screening ; cirrhosis ; AFP ; machine learning ; MALDI-TOF ; proteomics ; CXCR4 ; prognosis ; overall survival ; rectal cancer ; neoadjuvant chemoradiation ; mouse model ; biomarkers ; urokinase plasminogen activator (uPA) ; urokinase plasminogen activator receptor (uPAR) ; plasminogen activator inhibitor type 1 (PAI-1) ; circulating tumour cell (CTC) ; gastric cancer ; oesophageal cancer ; serine proteases ; tumour microenvironment ; serpins ; biomarker ; chemoresistance ; liquid biopsy ; microRNA ; long non-coding RNA ; colorectal neoplasms ; cancer screening tests ; early detection of cancer ; precision medicine ; unfolded protein ; hepatocellular cancer ; GSVA ; unfolded protein score ; epigenetic regulation genes ; somatic mutations ; molecular genetic markers ; extracellular vesicles ; microbiome ; 16S rRNA amplicon ; metagenomics ; liver fibrosis ; hepatocellular carcinoma ; recurrence ; SHG/TPEF microscopy ; artificial intelligence ; advanced gastric cancer ; targeted therapy ; urinary miRNA ; miR-129-1-3p ; miR-566 ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There has been significant growth in branches of industry directly related to new materials, such as metals, polymers, and composite materials. Considering the increase in material costs, it has become exceedingly important to produce lightweight constructions through the use of certified materials with appropriate mechanical properties. Many composite materials, especially in building engineering, are characterized by the use of waste materials, allowing them to meet environmental demands and often also positively affecting the performance (as well as mechanical) properties of the whole construction. A similar phenomenon has been noticed in polymers and metals, with the “ecologically friendly” factor having increasing influence in such materials. The main aim of our Special Issue was to gather novel research results concerning different materials available for all important industries—building engineering, the heavy industry, automotive, aerospace, and medicine. Such a general title has been proposed to also include different manufacturing technologies using various materials—conventional (milling, casting, forming, and turning) and novel (hybrid and additive manufacturing).
    Keywords: additive manufacturing ; powder bed fusion ; 316L stainless steel ; ultrasonic atomization ; gas atomization ; three-point bending ; polyamide-based composites ; fused filament fabrication ; concrete additives ; concrete fibers ; concrete strength tests ; threshold effect ; flake graphene ; graphene oxide ; reduced graphene oxide ; lubricants ; grease ; fatigue life prediction ; CuZn37 brass ; machine learning ; IPCs ; ceramic preform ; ceramic–elastomer composite ; silane coupling agent ; hot isostatic pressing (HIP) ; wettability ; mechanical properties ; mechanical engineering ; laser powder bed fusion ; 21 NiCrMo2 steel ; process parameters ; post-heat treatment ; torsional strength ; cellular structures ; 20MnCr5 Steel ; cement–glass composite bricks ; digital image correlation analysis ; material extrusion ; PET-G ; waste disposal ; hybrid additive manufacturing ; lattice structures ; hot isostatic pressing ; fatigue behaviour ; polymer–straw boards ; thermoplastic polymers ; annual plants ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
    Keywords: high performance computing ; HPC ; PETSc ; parallelization ; scalability ; parallel performance ; streams ; curvilinear ; non-hydrostatic ; ocean modeling ; GCCOM ; open boundaries ; domain decomposition ; variational data assimilation ; inverse problems ; shallow water equations ; boundary conditions ; mathematical modelling ; coastal ocean modelling ; computational methods ; hydrodynamic ; modeling ; sea level rise ; mobile application ; app ; crowdsourcing ; SCHISM ; Tidewatch ; StormSense ; Catch the King ; downstream blocking ; compound flooding ; coastal storm surge and inundation ; explosive lateral flooding ; hurricane inland and upland flooding ; coastal modelling ; operational forecasting ; model evaluation ; inter-comparison ; NEMO ; FVCOM ; Ocean Protection Plan ; turbidity current ; suspended sediment ; numerical model ; Gulf of Mexico ; cold front ; Hurricane Barry ; numerical simulation ; subtidal hydrodynamics ; multi-inlet ; volume flux ; multiscale ; multiphysics ; model coupling ; data collection ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 77
    Publication Date: 2024-04-11
    Description: heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; geophysical monitoring ; data scarcity ; missing data ; climate extreme indices (CEIs) ; rule extraction ; Dataset Licensedatabase ; data assimilation ; data imputation ; support vector machines ; environmental observations ; multi-class classification ; earth-science data ; remote sensing ; magnetotelluric monitoring ; soil texture calculator ; machine learning ; ClimPACT ; invasive species ; species distribution modeling ; 3D-Var ; ensemble learning ; data quality ; water quality ; microhabitat ; k-Nearest Neighbors ; Expert Team on Climate Change Detection and Indices (ETCCDI) ; decision trees ; processing ; attribute reduction ; Expert Team on Sector-specific Climate Indices (ET-SCI) ; core attribute ; rough set theory ; GLDAS ; arthropod vector ; environmental modeling ; statistical methods ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue publishes the latest advances and developments concerning the modelling of flooding in urban areas and contributes to our scientific understanding of the flooding processes and the appropriate evaluation of flood impacts. This issue contains contributions of novel methodologies including flood forecasting methods, data acquisition techniques, experimental research in urban drainage systems and/or sustainable drainage systems, and new numerical and simulation approaches in nine papers with contributions from over forty authors.
    Keywords: machine learning ; flash flood ; GIS ; Iran ; decision trees ; ensemble techniques ; manhole flooding ; urban flooding ; grid-based modeling ; SWWM ; FIRM ; pollutant transport ; hydraulic structures ; urban drainage ; CFD ; dual drainage ; Iber ; SWMM ; hazard ; artificial neural network ; resilient backpropagation ; multistep urban flood forecast ; demographic change ; urbanization ; flooding ; drainage system ; vulnerability ; Sub-Saharan Africa ; Antananarivo ; parameterised power-linear model ; hyper concentration ; dilute concentration ; suspended sediment transport ; flood ; sediment size parameter ; rouse number ; mean concentration ; flow depth ; urban flood modeling ; porosity ; shallow-water model ; urban flood management ; flood forecasting ; weather radar ; integrated hydraulic modeling ; and evacuation lead time ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue and Book, ‘Latest Hydroforming Technology of Metallic Tubes and Sheets’, includes 16 papers, which cover the state of the art of forming technologies in the relevant topics in the field. The technologies and methodologies presented in these papers will be very helpful for scientists, engineers, and technicians in product development or forming technology innovation related to tube hydroforming processes.
    Keywords: tube hydroforming ; small-diameter tube ; magnesium alloy ; warm working ; deformation characteristics ; forming defects ; forming limit ; bellows forming ; vision-based sensor ; fuzzy control ; semi-dieless forming ; local heating ; metal spinning ; tube forming ; incremental forming ; numerical control ; hydroforming ; overlapping blank ; variable-diameter part ; thickness ; ultra-thin walled tube ; tube bending ; laminated mandrel ; rotary draw bending ; Finite Element Analysis (FEA) ; deformation property ; lightweight structure ; bending ; formability ; numerical methods ; processing technology ; crash safety ; hot bending ; partial-quench ; FEM ; strip friction test ; friction coefficient ; surface roughness ; sliding speed ; contact pressure ; movable die ; loading path ; finite element simulation ; irregular bellows ; metal tube ; planetary ball dies ; diameter reduction process ; forming limits ; biaxial stretching ; forming limit measurement ; experimental design ; strain rate sensitivity ; elevated temperatures ; pneumatic forming ; drawing ; flaring ; tube expansion ; plug drawing ; thickness reduction ; hydro-flanging ; punch head shape ; finite element analysis ; alumimum alloy ; tube bulging test ; formability test ; biaxial strain ; local rubber bulging ; cutout shape ; slit length ; two-layer tube ; rigid plasticity ; arbitrary yield criterion ; arbitrary hardening law ; analytic solution ; magnesium alloy tube ; warm hydroforming ; non-uniform temperature field ; protrusion type forming ; wall thickness distribution ; coupled thermal-structural analysis ; optimization ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 80
    Publication Date: 2022-11-17
    Description: Micro- and nano-molding technologies are continuously being developed due to enduring trends like increasing miniaturization and higher functional integration of products, devices, and systems. Furthermore, with the introduction of higher performance polymers, feedstocks, and composites, new opportunities in terms of material properties can be exploited, and, consequently, more micro-products and micro/nano-structured surfaces are currently being designed and manufactured.Innovations in micro- and nano-molding techniques are seen in the different processes employed in production (injection molding, micro injection molding, etc.); on the use of new and functional materials; for an ever-increasing number of applications (health-care devices, micro-implants, mobility, and communications products, optical elements, micro-electromechanical systems, sensors, etc.); in several key enabling technologies that support the successful realization of micro and nano molding processes (micro- and nano-tooling technologies, process monitoring techniques, micro- and nanometrology methods for quality control, simulation, etc.) and their integration into new manufacturing process chains.This Special Issue reprint showcases research papers and review articles that focus on the latest developments in micro-manufacturing and key enabling technologies for the production of both micro-products and micro-structured surfaces.
    Keywords: demolding process ; molecular dynamics simulation ; polypropylene ; injection molding ; nanostructure ; depth-to-width ratio ; air-shielding electrochemical micro-machining ; nozzle design ; flow field ; grey relational analysis ; optimization ; bistable mechanism ; V-beam structure ; compliant mechanism ; microinjection molding ; out-of-plane ; silicon photonics ; integrated optics ; waveguide crossing design ; multimode interference (MMI) ; sub-wavelength grating (SWG) ; multiplexing technology ; optical aspheric surface ; fast tool serve (FTS) ; machining error ; optical performance ; micro injection moulding ; adiabatic heating ; diesel effect ; venting ; film insert moulding ; surface analysis ; blister formation ; simulation ; semi-crystalline polymer ; PLLA ; thermoplastics ; microdevice ; direct-writing ; additive manufacturing ; micro manufacturing ; functionalization ; modeling ; micro-injection molding ; micro replication ; process simulation ; grating couplers ; integrated waveguide devices ; functional analysis ; micro-injection moulding ; machine design ; process capability ; 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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  • 81
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue of Processes operates on the basis of a rigorous peer-review with a single-blind assessment and at least two independent reviewers, thereby ensuring a high quality final product. I would like to thank our reviewers, for providing the authors with constructive comments, and Editorial Board, for their professional advice that led to the final decision. I am sure that, in coming years, readers of this Special Issue will find the scientific manuscripts interesting and beneficial to their research.
    Keywords: TA1-2040 ; T1-995 ; three-dimensional temperature field ; n/a ; forced convection ; RNG k-? model ; PIV measurements ; water friction loss ; flat plate ; horizontal ; optimization ; casson fluid ; finned tube ; plate-fin heat sink ; computational fluid dynamics (CFD) ; plate heat exchanger ; partial heating ; thermo-diffusion ; HEN synthesis ; Keller-Box technique ; visualization experiment ; ice-cream ; modelling ; computational intelligence techniques ; canned motor ; boiling ; heat transfer ; operating condition ; vertical ; phase change ; flow distribution characteristics ; scraped surface heat exchanger ; heat flux ; numerical simulation ; aspect ratio ; orientation ; axisymmetric flow ; CACRS ; natural convection ; MINLP ; multi-slip ; ice storage ; viscosity ; axial piston pump ; crystallization ; multiphase flow ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 82
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 83
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: With the deep integration of cutting-edge technologies such as artificial intelligence, big data, and the Internet, ship propulsion control systems are also gradually undergoing a transformation from the mode of automatic control to intelligent control. In particular, the smart ship concept has become a key factor in the maritime industry’s ambition to achieve sustainable green development. Currently, the development of all-electric propulsion and innovative hybrid ship propulsion systems is a priority, so that the efficiency of ship propulsion systems might be improved. Therefore, the aim of this monograph is to describe the intelligent control of ship propulsion systems. In this regard, this monograph deals with new approaches to the design of ship power systems. Among them, in terms of intelligent control, and using simulation experiments for comparison, the learning ability relied on by artificial intelligence is utilized to handle the collected data and generate corresponding commands, thus ensuring the safety and stability of the ship's movement. The main objective of this Special Issue is to fill existing knowledge gaps and provide additional ideas on the intelligent control of marine propulsion systems. Finally, we would like to express our deepest gratitude to the staff of MDPI Books and the editorial team of Marine Science and Engineering, especially the assistant editors of this Special Issue, the gifted authors, and the diligent and expert reviewers.
    Keywords: automation ; autonomous guidance ; green propulsion technologies ; marine engine ; safety and efficiency ; ship propulsion dynamics ; simulation ; smart control ; optimization ; weather routing ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 84
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This Special Issue aimed to collate recent works regarding the planning and control of energy systems. In particular, this Special Issue focuses on microgrids. This kind of system enables optimal integration of renewable energy sources, electric vehicles, energy storage, and demand-side management strategies, thus proposing a valuable framework through which to implement the decarbonization of the electricity sector. Special attention is given to those works devoted to systems with high penetration of renewables and advanced demand response strategies. Literature reviews are also included in this Special Issue, and some real-life experiences are described and analyzed.
    Keywords: optimization algorithm ; control system ; renewable energy ; PSO ; GWO ; battery storage energy ; electric vehicle ; photovoltaics ; BESS ; optimization ; AOA algorithm ; uncertainty ; distribution network ; DC multi-microgrid system ; carbon emissions ; economic dispatch ; across-time-and-space energy transmission ; cooperative multi-objective optimization ; PV ; wind turbine ; biomass system ; heap-based optimizer ; Franklin’s and Coulomb’s algorithm ; sooty tern optimization ; energy cost ; metaheuristics ; solar cell systems ; elephant herding optimization ; alpha tuned EHO ; cultural-based ; biased initialization ; parameter identification ; single diode ; double diode ; three diodes ; modular multilevel converter (MMC) ; fault-tolerant ; voltage source modular multilevel converter (VSMMC) ; SPWMLSC ; SPWMPSC ; STHILSC ; STHIPSC ; optimal energy management ; multi-agent system ; multi-energy carrier ; renewable energy sources ; microgrids management ; renewable energy resources ; isolated microgrids ; optimization techniques ; demand-side management (DSM) ; distributed generations (DGs) ; energy management systems (EMS) ; renewable energy sources (RES) ; waste to energy (W2E) ; microgrid architecture ; smart infrastructure ; resilience ; optimization model ; critical node identification ; 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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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: The aim of carbon capture, utilization, and storage (CCUS) is to reduce the amount of CO2 released into the atmosphere and to mitigate its effects on climate change. Over the years, naturally occurring CO2 sources have been utilized in enhanced oil recovery (EOR) projects in the United States. This has presented an opportunity to supplement and gradually replace the high demand for natural CO2 sources with anthropogenic sources. There also exist incentives for operators to become involved in the storage of anthropogenic CO2 within partially depleted reservoirs, in addition to the incremental production oil revenues. These incentives include a wider availability of anthropogenic sources, the reduction of emissions to meet regulatory requirements, tax incentives in some jurisdictions, and favorable public relations. The United States Department of Energy has sponsored several Regional Carbon Sequestration Partnerships (RCSPs) through its Carbon Storage program which have conducted field demonstrations for both EOR and saline aquifer storage. Various research efforts have been made in the area of reservoir characterization, monitoring, verification and accounting, simulation, and risk assessment to ascertain long-term storage potential within the subject storage complex. This book is a collection of lessons learned through the RCSP program within the Southwest Region of the United States. The scope of the book includes site characterization, storage modeling, monitoring verification reporting (MRV), risk assessment and international case studies.
    Keywords: geologic CO2 sequestration ; CO2 and brine leakage ; underground source of drinking water ; risk assessment ; response surface methodology ; early detection criteria ; multi-objective optimization ; CO2-WAG ; machine learning ; numerical modeling ; hybrid workflows ; morrow ; Farnsworth ; Anadarko ; incised valley ; geological carbon sequestration ; reactive surface area ; mineral trapping ; enhanced oil recovery with CO2 (CO2-EOR) ; geochemical reactions ; workflow ; workshop ; process influence diagram ; response surface model ; polynomial chaos expansion ; NRAP ; relative permeability ; geologic carbon storage ; multi-phase flow simulation ; life cycle analysis ; CO2-enhanced oil recovery ; anthropogenic CO2 ; global warming potential ; greenhouse gas (GHG) ; carbon storage ; CO2-EOR ; CO2 sequestration ; geomechanics ; reservoir fluid flow modelling ; tightness of caprock ; CO2 leakage ; threshold pressure ; reactive solute transport ; multi-phase fluid flow ; Farnsworth Unit ; STOMP ; GEM ; TOUGHREACT ; 4D ; time lapse ; CO2 ; EOR ; WAG ; sequestration ; monitoring ; carbon sequestration ; caprock integrity ; noble gas migration ; seal by-pass ; carbon dioxide storage ; storage efficiency factor ; probabilistic ; expectation curve ; Monte Carlo ; Farnsworth Field ; petroleum system modeling ; CO2 migration ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 87
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cover a broad cross-section of relevant methodological topics as well as applications to specific health problems.One methodological article describes the use of cascaded system archetypes, with an application to reducing hospital congestion. Another discusses Monte Carlo uncertainty analysis, with an application to the US opioid crisis. Three of the articles describe models of community response to severe shocks, including recovery from the COVID-19 pandemic. Two other articles address strategies for dealing with myriad chronic diseases and risk factors in a population. Other papers include in-depth analyses of prostate cancer screening, digital prosthetic services for lower-limb amputees, and the complex behavioral health challenge of youth homelessness.This reprint provides an excellent snapshot of the current state of practice in system dynamics as it is applied to public health, health care delivery, and health policy. It offers practical policy guidance and will be of interest to both experienced practitioners and those new to the field.
    Keywords: simulation model ; public health practice ; chronic disease ; prevention ; cardiovascular diseases ; cancer ; COVID-19 ; tourism recovery ; public policy ; system dynamics ; participatory modelling ; health ; social care ; integrated care ; hospital ; delayed hospital discharges ; strategy ; congestion ; capacity ; archetypes ; unintended consequences ; population health and well-being ; equity ; stewardship ; resilience ; simulation modeling ; uncertainty analysis ; optimization ; sensitivity testing ; Monte Carlo randomization ; opioid epidemic ; prosthetics ; major lower-limb amputations ; prosthesis usage ; amputee mobility ; health care system ; health policy ; youth homelessness ; child welfare ; juvenile justice ; mental health ; public health ; decision making ; long-term conditions ; resource allocation ; complex systems ; early detection of cancer ; mass screening ; decision-making ; dissemination ; clinical practice guidelines ; evidence-based guidelines ; policy decision thresholds ; prostate cancer ; natural history of disease ; biomarker ; PSA ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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  • 88
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: As the most heavily populated areas in the world, coastal zones host the majority and some of the most important human settlements, infrastructures and economic activities. Harbour and coastal structures are essential to the above, facilitating the transport of people and goods through ports, and protecting low-lying areas against flooding and erosion. While these structures were previously based on relatively rigid concepts about service life, at present, the design—or the upgrading—of these structures should effectively proof them against future pressures, enhancing their resilience and long-term sustainability. This Special Issue brings together a versatile collection of articles on the modelling of harbour and coastal structures, covering a wide array of topics on the design of such structures through a study of their interactions with waves and coastal morphology, as well as their role in coastal protection and harbour design in present and future climates.
    Keywords: beach morphology ; beach nourishment performance ; sustainable development ; General Shoreline beach model ; United Arab Emirates ; Saadiyat Island ; breakwater ; extreme learning machine ; stability assessment ; machine learning ; column-stabilized fish cage ; horizontal wave force ; least squares method ; hydrodynamic coefficient ; vertical breakwater ; reliability analysis ; overall stability ; sliding failure ; overturning failure ; bearing capacity analysis ; breakwater’s foundation failure ; rubble-mound ; zero-freeboard ; porous-media ; immersed-boundary ; level-set ; Smagorinsky subgrid scale model ; wave reflection ; wave transmission ; wave overtopping ; wave setup ; Nowshahr port ; field measurements ; numerical simulation ; wave ; current ; sediment transport ; rubble mound breakwaters ; historical review ; damage measurement ; damage characterization ; damage ; damage model ; damage progression ; input reduction ; wave schematization ; pick-up rate ; MIKE21 CM FM ; long-term morphological modelling ; numerical model ; OpenFOAM ; scour ; vertical breakwaters ; mortar-grouted riprap revetment ; full-scale hydraulic tests ; design of revetments ; Balearic Islands ; Boumerdès ; current speed ; harbor ; tsunami ; model uncertainty ; reliability ; pile settlement ; piles in granular soil ; base resistance ; skin friction ; t-z curves ; climate change ; coastal flooding ; coastal structures ; numerical modelling ; Boussinesq equations ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 89
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book results from a Special Issue related to the latest progress in the thermodynamics of machines systems and processes since the premonitory work of Carnot. Carnot invented his famous cycle and generalized the efficiency concept for thermo-mechanical engines. Since that time, research progressed from the equilibrium approach to the irreversible situation that represents the general case. This book illustrates the present state-of-the-art advances after one or two centuries of consideration regarding applications and fundamental aspects. The research is moving fast in the direction of economic and environmental aspects. This will probably continue during the coming years. This book mainly highlights the recent focus on the maximum power of engines, as well as the corresponding first law efficiency upper bounds.
    Keywords: thermodynamics ; optimization ; entropy analysis ; Carnot engine ; modelling with time durations ; steady-state modelling ; transient conditions ; converter irreversibility ; sequential optimization ; Finite physical Dimensions Optimal Thermodynamics ; global efficiency ; energy efficiency ; heat engine ; heat pump ; utilization ; Carnot efficiency ; comparison ; thermal system ; cycle analysis ; second law of thermodynamics ; Clausius Statement ; theorem of the equivalence of transformations ; linear irreversible thermodynamics ; maximum power output ; maximum ecological Function ; maximum efficient power function ; enzymatic reaction model ; ocean thermal energy conversion (OTEC) ; plate heat exchanger ; finite-time thermodynamics ; heat transfer entropy ; entropy production ; new efficiency limits ; two-stage LNG compressor ; energy losses ; exergy destruction ; exergy efficiency ; Stirling cycle ; refrigerator ; heat exchanger ; second law ; 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: 2023-02-02
    Description: The reprint is devoted to the phenomena associated with exact or approximate axial symmetry in different areas of technical physics and mechanical engineering science. How can the symmetry of the problem be used most efficiently for its analysis? Why is the symmetry broken or why is it still approximately retained? These and other questions are discussed based on systems from different fields of engineering.
    Keywords: fretting wear ; axis-symmetry ; tangential contact ; torsional contact ; Abel transform ; injection molding ; concentricity ; coaxiality ; optical barrel ; bilateral telecentric lens ; optimization ; contact problem ; non-axisymmetric indenter ; extremal principle ; generalized MDR ; non-axisymmetric ; circular contact ; frictionless contact ; general solution ; closed-form solution ; series solution ; cylindrical punch ; contact stress-intensity factor ; cylindrical symmetry ; spherical symmetry ; periodic boundary conditions ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Biocatalysis is very appealing to the industry because it allows, in principle, the synthesis of products not accessible by chemical synthesis. Enzymes are very effective, as are precise biocatalysts, as they are enantioselective, with mild reaction conditions and green chemistry. Biocatalysis is currently widely used in the pharmaceutical industry, food industry, cosmetic industry, and textile industry. This includes enzyme production, biocatalytic process development, biotransformation, enzyme engineering, immobilization, the synthesis of fine chemicals and the recycling of biocatalysts. One of the most challenging problems in biocatalysis applications is process optimization. This Special Issue shows that an optimized biocatalysis process can provide an environmentally friendly, clean, highly efficient, low cost, and renewable process for the synthesis and production of valuable products. With further development and improvements, more biocatalysis processes may be applied in the future.
    Keywords: catechin ; degalloylation ; flavonol ; glycoside hydrolase ; optimization ; tannase ; immobilized DERA ; statin side chain ; continuous flow synthesis ; alginate-luffa matrix ; design of experiments ; Anguilla marmorata ; eel protein hydrolysates ; functional properties ; herbal eel extracts ; agarose ; agarase ; agarotriose ; agaropentaose ; expression ; calycosin ; calycosin-7-O-β-D-glucoside ; glucosyltransferase ; sucrose synthase ; UDP-glucose recycle ; UGT–SuSy cascade reaction ; Candida antarctica lipase A ; surface-display system ; shear rate ; mass transfer rate ; enzymatic kinetic study ; enzymatic synthesis ; β-amino acid esters ; microreactor ; aromatic amines ; Michael addition ; kraft pulp ; cellulose ; xylan ; enzymatic hydrolysis ; Penicillium verruculosum ; glucose ; xylose ; lipase ; acidolysis ; docosahexaenoic acid ethyl ester ; eicosapentaenoic acid ethyl ester ; ethyl acetate ; kinetics ; styrene monooxygenase ; indole monooxygenase ; two-component system ; chiral biocatalyst ; solvent tolerance ; biotransformation ; epoxidation ; NAD(P)H-mimics ; superoxide dismutase (SOD) ; catalase (CAT) ; glutathione reductase (GR) ; aluminum (Al) ; selenium (Se) ; mouse ; brain ; liver ; phosphatidylcholine ; 3,4-dimethoxycinnamic acid ; enzymatic interesterification ; biocatalysis ; Pleurotus ostreatus ; enenzymatic hydrolysis ; peptide ; antioxidant ; hepatoprotective activity ; Yarrowia lipolytica ; whole–cell biocatalysis ; indolizine ; cycloaddition ; trehalose ; viscosity ; enzymes ; protein dynamics ; Kramers’ theory ; protein stabilization ; enzyme inhibition ; Lipase ; transesterification ; 2-phenylethyl acetate ; packed-bed reactor ; solvent-free ; cyclic voltammetry ; electrochemical impedance spectroscopy ; carbon nanotubes ; redox mediators ; CYP102A1 ; naringin dihydrochalcone ; neoeriocitrin dihydrochalcone ; regioselective hydroxylation ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 92
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: Honey is a very complex food that requires multiple analytical, statistical and mathematical methods to guarantee honey authentication. This Special Issue contains innovative research on different analytical procedures for the determination of chemical compounds, functional properties, sensory characteristics and pollen profiles for the interpretation of the botanical and geographical origin of honey. This book compiles twelve original studies that address these issues and improve the knowledge of honeys of multiple botanical and geographical origins.
    Keywords: honey ; authentication ; physicochemical parameters ; PCA ; characterization ; Algerian honey ; botanical origin ; biogeographical origin ; safflower (Carthamus tinctorius L.) honey ; chemical analysis ; anti-inflammatory ; antioxidant ; NF-κB ; Nrf-2 ; hydrogen peroxide ; functional food ; bacterial pathogen ; commercial honey ; quality standard ; Babors Kabylia ; sensorial properties ; melissopalynology ; quality parameters ; multivariate analysis ; quality control ; NIR ; modified partial least squares ; linear discriminant analysis ; Silicoflagellata ; diatoms ; pollen ; spores ; autumn heather honey ; Erica manipuliflora Salisb. ; volatiles ; gas chromatography-mass spectrometry ; solid-phase microextraction ; optimization ; response surface methodology ; polyphenols ; phenolic profile ; total phenolic content ; antioxidant activity ; liquid chromatography ; tandem mass spectrometry ; principal components analysis ; light stable isotope mass spectrometry ; ultra-high performance liquid chromatography ; high resolution mass spectrometry ; nuclear magnetic resonance ; principal component analysis ; floral origins ; entomological origin ; mitochondrial DNA ; NADH dehydrogenase 2 ; PCR ; honeydew ; pine honey ; sensory evaluation ; bioactivity ; antimicrobial ; 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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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-24
    Description: This special issue on the genetics of Alzheimer's disease was edited by Drs. Laura Ibanez and Justin Miller in 2021. It contains 10 original articles and reviews that help readers understand specific genetic contributions to Alzheimer's disease and how genetics will play a role in future Alzheimer's disease research.
    Keywords: Alzheimer disease ; expression quantitative trait loci (eQTL) ; rare variants ; set-based eQTL ; SKAT-O ; pathways ; immune system ; inflammation ; ROSMAP ; ADNI ; complement ; complement receptor 1 ; clusterin ; late-onset Alzheimer’s disease ; genetics ; neuroinflammation ; Alzheimer’s disease ; cytokines and growth factors ; genome-wide association study (GWAS) ; Polygenic Risk Score (PRS)-based analysis ; TOMM40 gene ; RNA transcription ; pseudogene ; mitochondrial dysfunction ; ITIM ; ITAM ; SIGLEC14 ; SIGLEC5 ; copy number variation ; CNV ; GWAS ; long non-coding RNA ; biomarkers ; peripheral system ; amyloid β ; tau ; APOE ; TREM2 ; OMICS ; therapeutics ; pairwise feature correlation ; feature reduction ; machine learning ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 94
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
    Keywords: CNC parameters ; machining mode ; high speed ; high accuracy ; high surface quality ; five-axis linear-segment toolpath ; path smoothing ; B-spline curve-fitting ; path synchronization ; feedrate scheduling ; flute-grinding ; evolution algorithms ; wheel location and orientation ; thin-floor machining ; chatter ; magnetorheological damper ; bull-nose end mill ; tool wear monitoring ; milling ; complex part ; deep learning ; autoencoder ; deep multi-layer perceptron ; tool condition monitoring ; tool change policy ; Industry 4.0 ; machine learning ; CNN ; AI ; additive manufacturing ; thin walled machining ; dynamics ; machining cycle optimization ; multivariable tool ; stable peninsula ; homotopy perturbation method ; machining robot ; natural frequency prediction ; model optimization ; dynamic performance ; stability ; machining ; grinding ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
    Keywords: pulse compression ; scattering ; attenuation ; insulation ; ultrasonic testing ; OLTC ; AE sensor ; acoustic emission ; feature extraction ; supervised classification ; machine learning ; contrast-enhanced ultrasound ; muscle perfusion ; Nakagami parameter ; compounding Nakagami imaging ; low-frequency sensor ; power transformer ; low-frequency noise ; genetic algorithm ; geometric layout of railway track ; track axis identification ; tramway loop ; route’s polygon ; GNSS mobile measurements ; vibroarthography ; VAG ; knee joint ; spectral features ; frequency analysis ; non-invasive examination ; lateral temperature gradient ; temperature field ; boundary conditions ; solar radiation intensity ; temperature monitoring ; non-destructive evaluation ; eddy current ; 3D sensing ; inverse problem ; wavelet transform ; principal component analysis ; neural network ; incubation ; spectrum ; image processing ; ROC curve ; infrasound measurement system ; wind turbine ; infrasound correlation analysis ; measuring scale ; thermoelastic deformation ; coefficient of thermal expansion ; elastic waves ; laser ultrasound ; Fizeau fiber interferometer ; defect identification ; high-current pulses ; current measurement ; high-current shunts ; circuit modeling ; Rogowski coil ; electrodynamic accelerators ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The use of lightweight structures across several industries has become inevitable in today’s world given the ever-rising demand for improved fuel economy and resource efficiency. In the automotive industry, composites, reinforced plastics, and lightweight materials, such as aluminum and magnesium are being adopted by many OEMs at increasing rates to reduce vehicle mass and develop efficient new lightweight designs. Automotive weight reduction with high-strength steel is also witnessing major ongoing efforts to design novel damage-controlled forming processes for a new generation of efficient, lightweight steel components. Although great progress has been made over the past decades in understanding the thermomechanical behavior of these materials, their extensive use as lightweight solutions is still limited due to numerous challenges that play a key role in cost competitiveness. Hence, significant research efforts are still required to fully understand the anisotropic material behavior, failure mechanisms, and, most importantly, the interplay between industrial processing, microstructure development, and the resulting properties. This Special Issue reprint book features concise reports on the current status in the field. The topics discussed herein include areas of manufacturing and processing technologies of materials for lightweight applications, innovative microstructure and process design concepts, and advanced characterization techniques combined with modeling of material’s behavior.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; n/a ; microstructure ; Mg-Al-Ba-Ca alloy ; strength ; severe plastic deformation ; hot working ; surface roughness ; high pressure torsion extrusion ; optimization ; fatigue fracture behavior ; magnesium alloys ; de-coring ; formability ; multilayered sheets ; HPDC ; spring-back ; contact heat transfer ; mechanical properties ; bending ; in-die quenching ; equivalent strain ; light metals ; processing ; heat transfer ; damage ; creep aging ; thin-walled profile ; rolling ; aluminum alloy ; transmission line fittings ; ceramic core ; processing map ; automated void recognition ; FEA ; multi-output porthole extrusion ; density ; kinetic analysis ; texture ; non-ferrous alloys ; material characterization ; stress superposition ; hot stamping ; metal flow ; hybrid composite material ; V-bending test ; finite element model ; aluminium alloy ; shear lap test ; Al-Cu-Mg alloy ; characterization ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 97
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    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: This book is a compilation of original research articles that apply a variety of techniques to identify and evaluate water resource management policies. These papers cover a wide range of topics and methodologies applied across the world, from a local to a continental scope. They illustrate open challenges in water resource management, such as the quantitative assessment of policy impacts, trade-off analyses, understanding the water–energy–food–environment nexus, collaborative model development, stakeholder engagement, formalizing social interactions, or improving the theoretical understanding of complex adaptive systems. Therefore, this book is a representation of research areas that have emerged from the origins of water resource systems analysis, seeking to improve the way in which water policy is formulated and implemented.
    Keywords: climate change ; water resources ; water availability ; uncertainty ; WAAPA model ; Western Europe ; water quality ; background pollutants ; export coefficient model ; chemical oxygen demand ; ammonia nitrogen ; water resource accessibility ; spatial pattern ; coupling coordination degree ; water resource management ; Southwest China ; pump efficiency ; water distribution systems ; water supply systems ; optimization ; design policies ; design ; BMPs ; Revised GWLF ; NSGAII ; hydrological dam safety ; initial reservoir level ; maximum conservation level ; water conservation volume ; flood control volume ; yield reliability ; regular operation ; stochastic methodology ; water management ; resources ; system dynamics ; drought management ; drought impacts ; urban public services ; inter-administrative cooperation ; border studies ; internal borders ; river municipalities ; freshwater health ; river chief system ; ecological integrity ; social services ; water governance ; national standard ; risk assessment ; water-saving ; set pair analysis ; China ; fluvial ecosystems ; hydropeaking ; InSTHAn tool ; short-term flow regimes ; subdaily flows ; sustainable river management ; droughts ; hydrological risk ; agri-food sector ; event study ; financial markets ; BOVESPA ; stormwater ; industrial facilities ; run off ; self-reported data ; multifunctional water source area ; ecotourism, people with different stakeholders ; balanced decision-making ; sponge city ; fuzzy comprehensive evaluation method ; water resource carrying capacity ; gray correlation analysis ; multiple linear regression models ; water environment capacity ; reservoir performance ; water resources systems ; participatory modeling ; river basin planning ; watershed management ; water scarcity ; water conflicts ; Robust Decision Support ; WEAP ; Integrated Water Resources Management ; Bolivia ; 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
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Smart textiles are the textiles that are sensitive to any environmental conditions and can respond accordingly. Using passive and active coatings to generate high sensitivity to textiles is among the most recent research trends by engineers around the World. This has resulted in expansion in the application of smart textiles in various industrial fields including medicals, electronics and protective clothing. The aim of this special issue is to introduce the most state-of-the-art research and review articles by distinguished researchers in the field of smart coatings on textiles. The guest editor hopes that content will be useful for researchers, students and companies for continuation of research and development with the concept of smart textiles.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; chitosan ; pilling ; cyclodextrin ; polypropylene ; actuator ; UHMWPE ; hydrophobic ; separation ; reactive vapor deposition ; e-textiles ; image processing ; fiber ; conducting polymers ; conductive coatings ; dip coating technique ; textile ; triboelectricity ; smart textiles ; hernia meshes ; microgel ; optical fiber sensors ; polymer ; nanoparticle-laden elastomer ; touch sensor ; textile electronics ; structural color ; PLA fiber ; wearable technology ; carbon nanotubes ; electrospinning ; assembly ; photonic crystal ; electrospun nanofibers ; plasma treatment ; coating ; nanoparticle assemblies ; sodium alginate ; flexible electronics ; Janus material ; machine learning ; polymer actuators ; oxygen-plasma treatment ; polydopamine ; plain weave ; absorbant ; surface functionalization ; penetration resistance ; lab-on-fiber technology ; layer-by-layer method ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 99
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The great economic and strategic importance of catalysis makes it a rapidly evolving field. Catalysis is fundamental in areas such as sustainable development, energy production, environmental protection, food production, and water purification. In the face of the significant challenges of the present day, acquiring fundamental knowledge about the structure and phenomena on the surface of catalysts and the relationships between the composition, synthesis method, properties, and performance of catalysts in industrial processes is essential. Research is still needed to improve existing catalysts or design new systems which may efficiently and selectively conduct a given reaction toward the desired product. This Special Issue was devoted to designing and characterizing heterogeneous catalytic systems for industrial chemical processes. The reprint collects 10 research articles providing insight into important aspects of modern catalyst design. The papers cover recent advances and comprehensive experimental studies of synthesis, characterization, and evaluation of catalyst performance in the following processes: ammonia synthesis, selective catalytic reduction of nitrogen oxides, hydrogen production from ethanol, and photocatalysis.
    Keywords: cobalt molybdenum nitrides ; ammonia synthesis ; phase composition ; specific surface area ; cobalt catalyst ; barium ; promoter ; optimization ; hydrogen ; ethanol ; catalyst ; TiO2 photocatalysis ; UV-C ; photolysis ; ammonia ; nitrogen removal ; water treatment ; hydrogen production ; ethanol steam reforming ; nickel-based catalyst ; manganese oxides ; potassium promoter ; gliding discharge ; plasma–catalytic system ; tar decomposition ; nickel catalyst ; nitric acid plant ; selective catalytic reduction ; clinoptilolite ; iron-modified zeolite catalyst ; TiO2-SiO2 ; mesoporous ; F127 ; high surface area ; solar photocatalysis ; dye degradation ; structure sensitivity ; size effect ; carbon support ; neodymium oxide ; support ; hydrogen poisoning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
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  • 100
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The second volume of the Special Issue on “Micro-Electro Discharge Machining: Principles, Recent Advancements and Applications” confirms the growing interest in the micro-EDM technology as a suitable and efficient technology for machining novel, multilateral components, with demanding requirements in terms of precision, accuracy, and productivity.This volume consists of 10 original research papers which involve several approaches to micro-EDM and cover the enhancement of the process performance, such as the material removal rate, surface roughness, or machining accuracy, using advanced optimization methods. Some studies also consider several dielectric fluid additives and investigate the processability of new materials. Others investigate the combination of Reverse-micro-EDM with laser beam micromachining or explore new applications for the micro-EDM for fabricating antimicrobial nanosilver colloid.
    Keywords: electrical discharge machining ; metal matrix composite ; Taguchi ; micro-hardness ; surface roughness ; material removal rate ; wire electro-discharge machining ; polymer composite materials ; processing precision ; interelectrode gap ; micro-EDM milling ; accumulative difference ; material removal ; tool electrode wear ; analytical hierarchy process ; residual stress ; metal erosion rate ; Reverse-μEDM ; Nd: YAG LBµM ; micro-holes ; burrs ; protrusions ; electrical discharge machine ; energy consumption ; nanosilver colloid ; antimicrobial ; micro-EDM ; tungsten carbide ; carbon nanofiber ; silicon ; alumina ; shape memory alloys ; nitinol ; optimization ; near-dry wire electric discharge machining (WEDM) ; teaching–learning based optimization (TLBO) algorithm ; micro electrical discharge machining ; vibration assisted electrical discharge machining (EDM) ; high-speed camera ; array electrode ; structured surface ; efficiency ; micromachining ; performance ; quality ; 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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