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Epigenetics and periconception environment

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ISBN: 9788867055043 Year: Language: English
Publisher: Ledizioni
Subject: Technology (General)
Added to DOAB on : 2016-09-29 11:12:22
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The European Cooperation in Science and Technology (COST) is the oldest and widest European intergovernmental network for cooperation in research. Established by the Ministerial Conference in November 1971, COST is presently used by more than 30.000 scientists of 35 European countries to cooperate in common research projects supported by national funds. The financial support for cooperation networks (COST Actions) provided by COST is about 1.5% (30 million EUR per year) of the total value of the projects (2000 million EUR per year). […] As precursor of advanced multidisciplinary research COST has a very important role in shaping the European Research Area (ERA). It anticipates and complements the activities of the current Framework Programme for Research and Innovation (Horizon 2020). COST activities create a bridge between the scientific communities of countries and increases the mobility of researchers across Europe in many key scientific domains.Parental stress before, during and after conception induces epigenetic changes in gametes and embryos. Such epigenetic changes may adversely affect the future health, development, productivity and fertility of the offsprings. Our cooperation in this COST Action focuses on the timeframes and mechanisms of these epigenetic modifications. We plan public engagement activities to inform the general public on the importance of the epigenome and the periconception environment in future food production, health and welfare. We aim to coordinate various European research activities on epigenetic control of development in order to avoid duplication, set targets and guidance for future research in this field through a large collaborative network.

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Ann Van Soom

Gothic incest

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ISBN: 9781784993061 9781526107558 Year: Language: English
Publisher: Manchester University Press Grant: Knowledge Unlatched - 100910
Subject: Languages and Literatures
Added to DOAB on : 2018-03-16 11:02:30
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The first full-length study of incest in the Gothic genre, this book argues that Gothic writers resisted the power structures of their society through incestuous desires. It provides interdisciplinary readings of incest within father-daughter, sibling, mother-son, cousin and uncle-niece relationships in texts by authors including Emily Brontë, Eliza Parsons, Ann Radcliffe and Eleanor Sleath. The analyses, underpinned by historical, literary and cultural contexts, reveal that the incest thematic allowed writers to explore a range of related sexual, social and legal concerns. Through representations of incest, Gothic writers modelled alternative agencies, sexualities and family structures that remain relevant today.

Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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ISBN: 9783039216642 9783039216659 Year: Pages: 294 DOI: 10.3390/books978-3-03921-665-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Meteorology and Climatology
Added to DOAB on : 2019-12-09 16:10:12
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Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.

Keywords

rainfall --- monsoon --- high resolution --- TRMM --- drought prediction --- APCC Multi-Model Ensemble --- seasonal climate forecast --- machine learning --- sparse monitoring network --- Fiji --- drought analysis --- ANN model --- drought indices --- meteorological drought --- SIAP --- SWSI --- hydrological drought --- discrete wavelet --- global warming --- statistical downscaling --- HBV model --- flow regime --- uncertainty --- reservoir inflow forecasting --- artificial neural network --- wavelet artificial neural network --- weighted mean analogue --- variation analogue --- streamflow --- artificial neural network --- simulation --- forecasting --- support vector machine --- evolutionary strategy --- heavy storm --- hyetograph --- temperature --- clausius-clapeyron scaling --- climate change --- the Cauca River --- climate variability --- ENSO --- extreme rainfall --- trends --- statistical downscaling --- random forest --- least square support vector regression --- extreme rainfall --- polynomial normal transform --- multivariate modeling --- sampling errors --- non-normality --- extreme rainfall analysis --- statistical analysis --- hydrological extremes --- stretched Gaussian distribution --- Hurst exponent --- INDC pledge --- precipitation --- extreme events --- extreme precipitation exposure --- non-stationary --- extreme value theory --- uncertainty --- flood regime --- flood management --- Kabul river basin --- Pakistan --- extreme events --- innovative methods --- downscaling --- forecasting --- compound events --- satellite data

Refrigeration Systems and Applications 2019

Authors: --- ---
ISBN: 9783039219520 9783039219537 Year: Pages: 200 DOI: 10.3390/books978-3-03921-953-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-01-07 09:08:26
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The Special Issue “Refrigeration Systems and Applications” aims to encourage researchers to address the concerns associated with climate change and the sustainability of artificial cold production systems, and to further the transition to the more sustainable technologies and methodologies of tomorrow through theoretical, experimental, and review research on the different applications of refrigeration and associated topics.

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

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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

Plug-in Hybrid Electric Vehicle (PHEV)

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ISBN: 9783039214532 9783039214549 Year: Pages: 230 DOI: 10.3390/books978-3-03921-454-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Keywords

battery power --- convex optimization --- dynamic programming --- engine-on power --- plug-in hybrid electric vehicle --- simulated annealing --- electric vehicle --- open-end winding --- dual inverter --- voltage vector distribution --- power sharing --- energy management --- range-extender --- CO2 --- air quality --- mobility needs --- LCA --- Paris Agreement --- hybrid energy storage system --- lithium-ion battery --- lithium-ion capacitor --- lifetime model --- power distribution --- state of health estimation --- adaptive neuron-fuzzy inference system (ANFIS) --- group method of data handling (GMDH) --- artificial neural network (ANN) --- electric vehicles (EVs) --- capacity degradation --- lithium-ion battery --- time-delay input --- interleaved multiport converte --- multi-objective genetic algorithm --- hybrid electric vehicles --- losses model --- wide bandgap (WBG) technologies --- Energy Storage systems --- LCA --- Well-to-Wheel --- electric vehicle --- plug-in hybrid --- electricity mix --- consequential --- attributional --- marginal --- system modelling --- energy system --- meta-analysis --- parallel hybrid electric vehicle --- regenerative braking --- fuel consumption characteristics --- energy efficiency --- state of charge --- lithium polymer battery --- electric vehicle --- Plugin Hybrid electric vehicle --- Li-ion battery --- modelling --- measurements --- state of charge --- strong track filter --- modified one-state hysteresis model --- Li(Ni1/3Co1/3Mn1/3)O2 battery --- energy management strategy --- Markov decision process (MDP) --- plug-in hybrid electric vehicles (PHEVs) --- Q-learning (QL) --- reinforcement learning (RL) --- novel propulsion systems --- emerging power electronics --- including wide bandgap (WBG) technology --- emerging electric machines --- efficient energy management strategies for hybrid propulsion systems --- energy storage systems --- life-cycle assessment (LCA)

Entropy Applications in Environmental and Water Engineering

Authors: --- ---
ISBN: 9783038972228 Year: Pages: 512 DOI: 10.3390/books978-3-03897-223-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Engineering --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2019-03-21 15:50:41
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Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Reacutenyi Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.

Keywords

complexity --- streamflow --- water level --- composite multiscale sample entropy --- trend --- Poyang Lake basin --- four-parameter exponential gamma distribution --- principle of maximum entropy --- precipitation frequency analysis --- methods of moments --- maximum likelihood estimation --- flood frequency analysis --- generalized gamma (GG) distribution --- principle of maximum entropy (POME) --- entropy theory --- principle of maximum entropy (POME) --- GB2 distribution --- flood frequency analysis --- non-point source pollution --- ANN --- entropy weighting method --- data-scarce --- multi-events --- spatio-temporal variability --- soil water content --- entropy --- arid region --- joint entropy --- NDVI --- temperature --- precipitation --- groundwater depth --- Hei River basin --- turbulent flow --- canopy flow --- randomness --- coherent structures --- Shannon entropy --- Kolmogorov complexity --- entropy --- information transfer --- optimization --- radar --- rainfall network --- water resource carrying capacity --- forewarning model --- entropy of information --- fuzzy analytic hierarchy process --- projection pursuit --- accelerating genetic algorithm --- entropy production --- conditional entropy production --- stochastic processes --- scaling --- climacogram --- turbulence --- water resources vulnerability --- connection entropy --- changing environment --- set pair analysis --- Anhui Province --- cross-entropy minimization --- land suitability evaluation --- spatial optimization --- monthly streamflow forecasting --- Burg entropy --- configurational entropy --- entropy spectral analysis time series analysis --- entropy --- water monitoring --- network design --- hydrometric network --- information theory --- entropy applications --- hydrological risk analysis --- maximum entropy-copula method --- uncertainty --- Loess Plateau --- entropy --- water engineering --- Tsallis entropy --- principle of maximum entropy --- Lagrangian function --- probability distribution function --- flux concentration relation --- uncertainty --- information --- informational entropy --- variation of information --- continuous probability distribution functions --- confidence intervals --- precipitation --- variability --- marginal entropy --- crop yield --- Hexi corridor --- flow duration curve --- Shannon entropy --- entropy parameter --- modeling --- spatial and dynamics characteristic --- hydrology --- tropical rainfall --- statistical scaling --- Tsallis entropy --- multiplicative cascades --- Beta-Lognormal model --- rainfall forecast --- cross entropy --- ant colony fuzzy clustering --- combined forecast --- information entropy --- mutual information --- kernel density estimation --- ENSO --- nonlinear relation --- scaling laws --- power laws --- water distribution networks --- robustness --- flow entropy --- entropy theory --- frequency analysis --- hydrometeorological extremes --- Bayesian technique --- rainfall --- entropy ensemble filter --- ensemble model simulation criterion --- EEF method --- bootstrap aggregating --- bagging --- bootstrap neural networks --- El Niño --- ENSO --- neural network forecast --- sea surface temperature --- tropical Pacific --- entropy --- cross elasticity --- mean annual runoff --- water resources --- resilience --- quaternary catchment --- complement --- substitute --- entropy theory --- complex systems --- hydraulics --- hydrology --- water engineering --- environmental engineering

Risk Measures with Applications in Finance and Economics

Authors: ---
ISBN: 9783038974437 9783038974444 Year: Pages: 536 DOI: 10.3390/books978-3-03897-444-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2019-08-28 11:21:27
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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.A Special Issue of “Risk Measures with Applications in Finance and Economics” will be devoted to advancements in the mathematical and statistical development of risk measures with applications in finance and economics. This Special Issue will bring together the theory, practice and real-world applications of risk measures. This book is a collection of papers published in the Special Issue of “Risk Measures with Applications in Finance and Economics” for Sustainability in 2018.

Keywords

falsified products --- medication --- health risk --- low-income country --- regular vine copulas --- tree structures --- co-dependence modelling --- European stock markets --- carbon emissions --- fossil fuels --- crude oil --- coal --- low carbon targets --- green energy --- spot and futures prices --- Granger causality --- volatility spillovers --- quasi likelihood ratio (QLR) test --- diagonal BEKK --- full BEKK --- dynamic hedging --- socially responsible investment --- multivariate regime-switching --- time-varying correlations --- volatility transmission --- conscientiousness --- openness to experience --- perceived ease of use --- perceived usefulness --- online purchase intention --- dynamic conditional correlation --- generalized autoregressive score functions --- time-varying copula function --- CoVaR --- utility --- credit derivatives --- stochastic volatility --- asymptotic approximation --- risk aversion --- portfolio selection --- need hierarchy theory --- two-level optimization --- variance --- coherent risk measures --- probability of default --- bank risk --- banking regulation --- SYMBOL --- financial stability --- China’s food policy --- sustainable food security system --- japonica rice production --- two-level CES function --- technological progress --- Project Financing --- Mezzanine Financing --- option value --- Monte Carlo Simulations --- probabilistic cash flow --- optimizing financial model --- risks mitigation --- investment profitability --- financial hazard map --- random forests --- early warning system --- bank failure --- B-splines --- inflation forecast --- monthly CPI data --- out-of-sample forecast --- the sudden stop of capital inflow --- financial security --- the optimal scale of foreign exchange reserve --- utility maximization --- finance risk --- liquidity premium --- uncertainty termination --- investment horizon --- Amihud’s illiquidity ratio --- factor models --- diversification --- bank profitability --- bank risk --- dynamic panel --- European banking system --- sustainability of economic recovery --- Bayesian approach --- conjugate prior --- cartel --- leniency program --- policy simulation --- S&P 500 index options --- gain-loss ratio --- risk-neutral distribution --- binomial tree --- risk management --- market timing --- moving averages --- risk-free rate --- returns and volatility --- financial risk --- bankruptcy --- regression model --- sustainable development --- Slovak enterprises --- sentiment analysis --- polarity --- scientific verification --- emotion --- joy --- sadness --- climate change --- GMC --- VIX --- RV5MIN --- causal path --- ANN --- sovereign credit default swap (SCDS) --- emerging market --- markov regime switching --- credit risk --- risk assessment --- risk measures --- IPO underpricing --- financial crisis --- information asymmetry --- financial risks --- business groups --- financial performance --- group-affiliated --- institutional voids --- production frontier function --- stochastic frontier model --- specification testing --- wild bootstrap --- smoothing process --- empirical process --- simulations --- stakeholder theory --- sustainability --- risk --- social efficiency --- banking --- cooperative banks --- Data Envelopment Analysis (DEA) --- corporate sustainability --- news release --- stakeholder theory --- stock return volatility --- EGARCH-m --- life insurance --- term life insurance --- whole life insurance --- self-perceived health --- objective health status --- future health risk --- SHARE --- national health system

Machining—Recent Advances, Applications and Challenges

Authors: ---
ISBN: 9783039213771 9783039213788 Year: Pages: 554 DOI: 10.3390/books978-3-03921-378-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

Keywords

dry-cutting --- concrete --- segmented diamond blade --- topography --- diameter variation --- weight loss --- in situ estimation --- SACE-drilled hole depth --- spark-assisted chemical engraving --- glass machining --- computer vision --- electrochemical discharge machining --- butt weld joint --- fatigue --- crack growth rate --- weld reinforcement --- cooling rate --- artificial neutral network --- cutting parameters --- magnesium alloys --- optimization --- prime machining costs --- surface roughness --- electropulsing --- machinability --- chip compression ratio --- current density --- specific cutting energy --- cutting edge microgeometry --- residual stress --- finite element model --- cutting edge preparation --- Inconel 718 --- stiffness properties --- parameter identification --- connections --- machine tool --- response surface methodology --- design of experiments --- modal testing --- plastic zone --- fracture mechanism --- steel sheet --- cutting process --- Huber–Mises stress --- finite element method --- microscopic analysis --- PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating --- cutting temperature --- Inconel 718 --- cutting tool wear --- secondary adhesion wear --- turning --- machining --- aluminium --- flank super abrasive machining (SAM) --- flank milling --- Inconel® 718 --- roughness --- residual stress --- machine vision --- on-machine monitoring --- tool insert condition --- computer numerical control --- turning machine tools --- multi-beam laser --- heat transfer analysis --- fast simulation --- GPU --- analytic solution --- minimum quantity lubrication --- surface grinding --- multi-objective optimization --- grey relational analysis --- surface topography --- sustainable machining --- Gamma-TiAl --- superalloys --- slight materials --- drilling --- titanium aluminides --- additive manufacturing --- single point incremental sheet forming --- residual stresses --- X-ray diffraction --- ultra-precision machining --- slow tool servo --- surface topography --- simulation --- microlens array --- sinusoidal grid --- Milling stability --- variable pitch --- chatter --- self-excitation --- milling --- ceramics --- ductile machining --- PCD --- corner radius --- material removal rate --- adhesive --- machining --- modelling --- dry --- CFRP/UNS A92024 --- induction assisted milling --- tool wear --- taguchi method --- cutting tool --- machining temperatures at two deformation zones --- force–temperature correlation through analytical modeling --- high computational efficiency --- real-time prediction --- hybrid stacks drilling --- minimum quantity lubrication --- hole quality --- tool wear --- WEDM --- EN 31 steel --- surface roughness --- fractal dimension --- ANN --- GA --- cryogenic machining --- cutting tool --- cutting geometry --- titanium --- power consumption --- material-removal rate --- specific energy consumption --- grain density --- modeling --- shape memory alloy --- superelastic nitinol --- WEDM --- heat transfer search algorithm --- DSC test --- shape memory effect --- dish angle --- trochoidal step --- response surface methodology --- surface roughness --- desirability approach --- tool wear --- trochoidal milling --- titanium alloy --- chip morphology --- thin-wall machining --- chatter --- vibration --- deflection --- damping --- prediction --- workholding --- fixture --- dynamic --- stability --- titanium alloys --- machining --- turning --- machinability --- tool wear --- laser-assisted machining --- Taguchi method --- optimal machining conditions --- machining characteristic --- milling --- the cutting force components --- vibrations --- magnesium alloys --- artificial neural networks

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