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Sports Materials

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ISBN: 9783039281626 9783039281633 Year: Pages: 166 DOI: 10.3390/books978-3-03928-163-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Advances in materials are crucial to the development of sports equipment, from tennis rackets to skis to running shoes. Materials-driven improvements in equipment have helped athletes perform better, while enhancing safety and making sport more accessible and enjoyable. This book brings together a collection of 10 papers on the topic of sports materials, as published in a Special Issue of Applied Sciences. The papers within this book cover a range of sports, including golf, tennis, table tennis and baseball. State-of-the-art engineering techniques, such as finite element modelling, impact testing and full-field strain measurement, are applied to help further our understanding of sports equipment mechanics and the role of materials, with a view to improving performance, enhancing safety and facilitating informed regulatory decision making. The book also includes papers that describe emerging and novel materials, including auxetic materials with their negative Poisson’s ratio (fattening when stretched) and knits made of bamboo charcoal. This collection of papers should serve as a useful resource for sports engineers working in both academia and industry, as well as engineering students who are interested in sports equipment and materials.

One Health and Zoonoses

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ISBN: 9783039212958 9783039212965 Year: Pages: 140 DOI: 10.3390/books978-3-03921-296-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Public Health
Added to DOAB on : 2019-12-09 16:10:12
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The One Health concept recognizes that the health of humans, animals, and their ecosystems are interconnected, and that a coordinated, collaborative, multidisciplinary, and cross-sectoral approach is necessary to fully understand and respond to potential or existing risks that originate at the animal–human–ecosystems interfaces. Thus, the One Health concept represents a holistic vision for addressing some of the complex challenges that threaten human and animal health, food safety, and the environments in which diseases flourish. There are many examples showing how the health of humans is related to the health of animals and the environment. Diseases shared between humans and animals are zoonoses. Some zoonoses have been known for many years, whereas others have emerged suddenly and unexpectedly. Over 70% of all new emerging diseases over the past few decades have been zoonoses that have emerged from wildlife, most often from bats, rodents, or birds. Examples of zoonoses are many and varied, ranging from rabies to bovine tuberculosis, and from Japanese encephalitis to SARS. Clearly, a One Health approach is essential for understanding their ecology, and for outbreak response and the development of control strategies. However, the One Health concept and approach is much broader than zoonoses; it extends to including antimicrobial resistance, food safety, and environmental health and, consequently, impacts on global health security, economic wellbeing, and international trade. It is this breadth of One Health that connects the papers in this Special Issue.

Novel Methods and Applications for Mineral Exploration

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ISBN: 9783039289431 / 9783039289448 Year: Pages: 264 DOI: 10.3390/books978-3-03928-944-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geology --- Earth Sciences
Added to DOAB on : 2020-06-09 16:38:57
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This special volume offers a snapshot of the latest developments in mineral exploration, in particular, geophysical, geochemical, and computational methods. It reflects the cutting-edge applications of geophysics and geochemistry, as well as novel technologies, such as in artificial intelligence and hyperspectral exploration, methods that have profoundly changed how exploration is conducted. This special volume is a representation of these cutting-edge and pioneering methods to consider and conduct exploration, and should serve both as a valuable compendium of the most innovative exploration methodologies available and as a foreshadowing of the form of future exploration. As such, this volume is of significant importance and would be useful to any exploration geologist and company

Flood Forecasting Using Machine Learning Methods

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ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-03-08 11:42:05
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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

Keywords

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps

Evolutionary Computation

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ISBN: 9783039219285 9783039219292 Year: Pages: 424 DOI: 10.3390/books978-3-03921-929-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

Keywords

artificial bee colony algorithm (ABC) --- cloud model --- normal cloud model --- Y conditional cloud generator --- global optimum --- evolution --- computation --- urban design --- biology --- shape grammar --- architecture --- SPEA 2 --- energy-efficient job shop scheduling --- dispatching rule --- nonlinear convergence factor --- mutation operation --- whale optimization algorithm --- particle swarm optimization --- confidence term --- random weight --- benchmark functions --- t-test --- success rates --- average iteration times --- set-union knapsack problem --- moth search algorithm --- transfer function --- discrete algorithm --- evolutionary multi-objective optimization --- convergence point --- acceleration search --- evolutionary computation --- optimization --- bat algorithm (BA) --- bat algorithm with multiple strategy coupling (mixBA) --- CEC2013 benchmarks --- Wilcoxon test --- Friedman test --- facility layout design --- single loop --- monarch butterfly optimization --- slicing tree structure --- material handling path --- integrated design --- wireless sensor networks (WSNs) --- DV-Hop algorithm --- multi-objective DV-Hop localization algorithm --- NSGA-II-DV-Hop --- first-arrival picking --- fuzzy c-means --- particle swarm optimization --- range detection --- minimum total dominating set --- evolutionary algorithm --- genetic algorithm --- local search --- constrained optimization problems (COPs) --- evolutionary algorithms (EAs) --- firefly algorithm (FA) --- stochastic ranking (SR) --- Artificial bee colony --- swarm intelligence --- elite strategy --- dimension learning --- global optimization --- DE algorithm --- ?-Hilbert space --- topology structure --- quantum uncertainty property --- numerical simulation --- whale optimization algorithm --- flexible job shop scheduling problem --- nonlinear convergence factor --- adaptive weight --- variable neighborhood search --- elephant herding optimization --- EHO --- swarm intelligence --- individual updating strategy --- large-scale --- benchmark --- diversity maintenance --- particle swarm optimizer --- entropy --- large scale optimization --- minimum load coloring --- memetic algorithm --- evolutionary --- local search --- particle swarm optimization --- large-scale optimization --- adaptive multi-swarm --- diversity maintenance --- deep learning --- convolutional neural network --- rock types --- automatic identification --- monarch butterfly optimization --- greedy optimization algorithm --- global position updating operator --- 0-1 knapsack problems

Cow's Milk and Allergy

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ISBN: 9783039280285 9783039280292 Year: Pages: 232 DOI: 10.3390/books978-3-03928-029-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Nutrition and Food Sciences --- Biology --- Science (General)
Added to DOAB on : 2020-01-30 16:39:46
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The purpose of this Special Issue “Cow’s Milk and Allergy” is to provide an overview of the association of cow’s milk with allergy. This topic has two quite different faces. On the one hand, we are all aware of the importance of cow’s milk allergy in early life. What is less known is that the consumption of raw, unprocessed milk is associated with a lower incidence of asthma and rhinitis. This Special Issue takes a closer look at all of these aspects of cow’s milk and allergy and focus on the following questions:

Keywords

allergic march --- cow’s milk allergy --- genome-wide association --- polygenic risk score --- food allergy --- cow’s milk --- camel milk --- infant formula --- animal models --- raw milk --- allergy --- asthma --- protection --- cow’s milk allergy --- casein --- cell-mediated reactions --- delayed-type hypersensitivity --- extracellular vesicles --- miRNA-150 --- cow’s milk allergy --- epidemiology --- natural history --- prevalence --- Cow’s milk allergy (CMA), anaphylaxis --- sensitization pattern --- cow’s milk allergens --- CAP-FEIA (Fluorescence Enzyme Immunoassay) --- multiplex dot test --- basophil activation test (BAT), human breast milk --- cow’s milk allergy --- immune system --- dietary intervention --- bioactive peptides --- gut microbiota --- prebiotics --- probiotics --- aggregation --- allergenicity --- ?-lactoglobulin --- CML --- glycation --- sRAGE --- IgE binding --- partial hydrolysate --- cow’s milk protein allergy --- hydrolysate --- infant feeding --- Middle-East --- step-down --- infant allergy --- cow’s milk allergy --- cow’s milk allergens --- diagnosis of cow’s milk allergy --- molecular diagnosis --- treatment of cow’s milk allergy --- prevention of cow’s milk allergy --- alkaline phosphatase --- allergic diseases --- food allergy --- immune regulation --- milk processing --- raw cow’s milk --- milk allergen --- baked milk --- cow’s milk --- allergenicity modulation --- proteomics --- epigenetics --- farming effect --- food allergy --- histone acetylation --- milk processing --- raw milk --- cow’s milk allergy --- milk --- hydrolysate --- asthma --- processing --- tolerance --- allergy --- cow’s milk --- formula --- therapy --- immune cells --- Immunoglubuline E

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Authors: --- ---
ISBN: 9783039211425 9783039211432 Year: Pages: 394 DOI: 10.3390/books978-3-03921-143-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Keywords

port scheduling --- berth-quay crane joint scheduling --- optimization study --- hybrid mathematical model --- multi-objective decision-making (MODM) --- sustainability --- vibration suppression --- single-cylinder engine --- multi-objective evolutionary algorithms --- dynamic analysis --- crank–slider --- ecological building --- clay blocks --- compacted clay --- straw bales --- cost calculation --- group decision making --- hesitant fuzzy set --- hospital evaluation --- linguistic hesitant fuzzy set and Standard variance --- bi-objective optimization --- heuristics --- discrete time/cost trade-off --- project scheduling --- Rough Hamy aggregator --- sustainable traffic --- Rough BWM --- Rough WASPAS --- construction --- roundabout --- optimization --- genetic algorithm --- artificial neural network --- apple --- drying --- rehydration --- renewable energy --- technology selection problem --- sustainable energy evaluation --- sustainable energy developments --- sustainable developments --- hierarchical SWARA --- MULTIMOORA --- multiple criteria decision making (MCDM) --- Multiple Attribute Decision Making (MADM) --- ranking --- healthcare facility --- location-allocation problem --- multiple objective optimization --- bi-level programming --- particle swarm optimization (PSO) --- cleaner production (CP) --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- probabilistic linguistic term sets (PLTSs) --- hybrid multi-criteria decision making (MCDM) --- gold mines --- conceptual framework --- organizations --- sustainability --- sustainability hierarchy --- Total Interpretive Structural Modeling (TISM) --- sustainable transport --- public transport --- emission of pollutants --- travel times --- bus pass --- MCDM --- critical information infrastructures --- fuzzy --- AHP --- WSM --- WASPAS --- MCDM --- hybrid --- management --- grey --- SWARA --- TOPSIS-GM --- ARAS-G --- Geomean --- energy efficiency --- comfort of use of buildings --- historic buildings --- sustainable development --- surface transport --- innovation in transport --- policy measures --- sustainable transport policy --- multiple criteria decision aid --- hybrid expert system --- bat algorithm --- particle swarm optimization algorithm --- multi-purpose system --- water resource management --- project --- construction --- contractor --- multiple-criteria decision-making --- AHP --- sustainable solution --- choice --- expert --- building investment project --- risk --- assessment --- verbal analysis --- multiple-attribute decision-making (MADM) --- multi-objective decision-making (MODM) --- optimization --- engineering --- management --- sustainable development

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