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These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a very different entropy-based approach. Costa connects entropy with general relativity, Pessoa reports new insights on ecology and Yousefi derives classical density functional theory, both through the maximum entropy principle. Von Toussaint, Preuss, Albert, Rath, Ranftl and Kvas report the latest developments in regression and surrogate-based inference with applications to optimization and inverse problems in plasma physics, biomechanics and geodesy. Van Soom presents new priors for phonetics, Stern et al. propose a new haphazard sampling method, and Kelter uncovers two measure theoretic iss phonetics ues with hypothesis testing.
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These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a very different entropy-based approach. Costa connects entropy with general relativity, Pessoa reports new insights on ecology and Yousefi derives classical density functional theory, both through the maximum entropy principle. Von Toussaint, Preuss, Albert, Rath, Ranftl and Kvas report the latest developments in regression and surrogate-based inference with applications to optimization and inverse problems in plasma physics, biomechanics and geodesy. Van Soom presents new priors for phonetics, Stern et al. propose a new haphazard sampling method, and Kelter uncovers two measure theoretic iss phonetics ues with hypothesis testing.
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These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a very different entropy-based approach. Costa connects entropy with general relativity, Pessoa reports new insights on ecology and Yousefi derives classical density functional theory, both through the maximum entropy principle. Von Toussaint, Preuss, Albert, Rath, Ranftl and Kvas report the latest developments in regression and surrogate-based inference with applications to optimization and inverse problems in plasma physics, biomechanics and geodesy. Van Soom presents new priors for phonetics, Stern et al. propose a new haphazard sampling method, and Kelter uncovers two measure theoretic iss phonetics ues with hypothesis testing.
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This book aims at providing a unifying framework, based on Information Entropy and its maximization, to connect the phenomenology of evolutionary biology, community ecology, financial economics, and statistical physics.
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MOP 150 provides detailed descriptions of several watershed and receiving water quality models used in total maximum daily load (TMDL) analysis and modeling, highlighting recent advancements in TMDL development and implementation.
Water--Pollution. --- Water --- Decision support systems. --- Geographic information systems. --- Water quality. --- Pollution --- Total maximum daily load --- Simulation methods. --- Measurement.
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Mathematical optimization. --- Maximum entropy method. --- Mathematical optimization --- Optimització matemàtica --- Methodology. --- Mètodes de simulació --- Jocs d'estratègia (Matemàtica) --- Optimització combinatòria --- Programació dinàmica --- Programació (Matemàtica) --- Anàlisi de sistemes --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Entropy maximization --- Entropy maximum principle --- Maximization, Entropy --- Entropy (Information theory) --- Maximum principles (Mathematics)
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In the last two decades, the understanding of complex dynamical systems underwent important conceptual shifts. The catalyst was the infusion of new ideas from the theory of critical phenomena (scaling laws, renormalization group, etc.), (multi)fractals and trees, random matrix theory, network theory, and non-Shannonian information theory. The usual Boltzmann–Gibbs statistics were proven to be grossly inadequate in this context. While successful in describing stationary systems characterized by ergodicity or metric transitivity, Boltzmann–Gibbs statistics fail to reproduce the complex statistical behavior of many real-world systems in biology, astrophysics, geology, and the economic and social sciences.The aim of this Special Issue was to extend the state of the art by original contributions that could contribute to an ongoing discussion on the statistical foundations of entropy, with a particular emphasis on non-conventional entropies that go significantly beyond Boltzmann, Gibbs, and Shannon paradigms. The accepted contributions addressed various aspects including information theoretic, thermodynamic and quantum aspects of complex systems and found several important applications of generalized entropies in various systems.
Research & information: general --- Mathematics & science --- ecological inference --- generalized cross entropy --- distributional weighted regression --- matrix adjustment --- entropy --- critical phenomena --- renormalization --- multiscale thermodynamics --- GENERIC --- non-Newtonian calculus --- non-Diophantine arithmetic --- Kolmogorov-Nagumo averages --- escort probabilities --- generalized entropies --- maximum entropy principle --- MaxEnt distribution --- calibration invariance --- Lagrange multipliers --- generalized Bilal distribution --- adaptive Type-II progressive hybrid censoring scheme --- maximum likelihood estimation --- Bayesian estimation --- Lindley's approximation --- confidence interval --- Markov chain Monte Carlo method --- Rényi entropy --- Tsallis entropy --- entropic uncertainty relations --- quantum metrology --- non-equilibrium thermodynamics --- variational entropy --- rényi entropy --- tsallis entropy --- landsberg-vedral entropy --- gaussian entropy --- sharma-mittal entropy --- α-mutual information --- α-channel capacity --- maximum entropy --- Bayesian inference --- updating probabilities
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In the last two decades, the understanding of complex dynamical systems underwent important conceptual shifts. The catalyst was the infusion of new ideas from the theory of critical phenomena (scaling laws, renormalization group, etc.), (multi)fractals and trees, random matrix theory, network theory, and non-Shannonian information theory. The usual Boltzmann–Gibbs statistics were proven to be grossly inadequate in this context. While successful in describing stationary systems characterized by ergodicity or metric transitivity, Boltzmann–Gibbs statistics fail to reproduce the complex statistical behavior of many real-world systems in biology, astrophysics, geology, and the economic and social sciences.The aim of this Special Issue was to extend the state of the art by original contributions that could contribute to an ongoing discussion on the statistical foundations of entropy, with a particular emphasis on non-conventional entropies that go significantly beyond Boltzmann, Gibbs, and Shannon paradigms. The accepted contributions addressed various aspects including information theoretic, thermodynamic and quantum aspects of complex systems and found several important applications of generalized entropies in various systems.
ecological inference --- generalized cross entropy --- distributional weighted regression --- matrix adjustment --- entropy --- critical phenomena --- renormalization --- multiscale thermodynamics --- GENERIC --- non-Newtonian calculus --- non-Diophantine arithmetic --- Kolmogorov–Nagumo averages --- escort probabilities --- generalized entropies --- maximum entropy principle --- MaxEnt distribution --- calibration invariance --- Lagrange multipliers --- generalized Bilal distribution --- adaptive Type-II progressive hybrid censoring scheme --- maximum likelihood estimation --- Bayesian estimation --- Lindley’s approximation --- confidence interval --- Markov chain Monte Carlo method --- Rényi entropy --- Tsallis entropy --- entropic uncertainty relations --- quantum metrology --- non-equilibrium thermodynamics --- variational entropy --- rényi entropy --- tsallis entropy --- landsberg—vedral entropy --- gaussian entropy --- sharma—mittal entropy --- α-mutual information --- α-channel capacity --- maximum entropy --- Bayesian inference --- updating probabilities --- n/a --- Kolmogorov-Nagumo averages --- Lindley's approximation --- Rényi entropy --- rényi entropy --- landsberg-vedral entropy --- sharma-mittal entropy
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Exercise necessitates increased energy production to match the elevated demand of physical activity, the magnitude of which varies significantly by activity, sport, and/or athletic position. While long term nutritional habitus is known to impact exercise performance, short term or acute nutritional strategies may also prove beneficial, or detrimental, to athletic performance. Modifications to macro- or micro-nutrient intakes likely influence athletic capacity through the altered metabolic capacity, although cardiovascular, respiratory, or neurocognitive effects are not to be discounted as possibly being influenced by altering the nutritional approach. Similarly, dietary supplementation with factors such as probiotics or antioxidants, either acutely or chronically, is also a likely avenue in which to optimize athletic performance. Supplementation, or the timing of supplementation, diurnally or with activity, may help to bridge gaps between dietary intakes and needs, perhaps as a result of either an inadequate intake and/or high level of athletic demand via high intensity, frequency, volume, or a combination thereof. Altering nutritional strategy for athletic performance is a de facto approach employed by athletes, often occurring seemingly independent of knowledge or evidence for or against a particular strategy. Rigorous studies of nutritional manipulation, supplementation, or those exploring the temporal optimization of nutrition or supplementation are desperately needed in an ever-changing sports nutrition landscape with an increasingly larger audience.
Research & information: general --- Biology, life sciences --- Food & society --- natural polyphenols --- curcumin --- muscle-damaging exercise --- anti-inflammatory --- antioxidants --- physical activity --- Carbohydrate --- high-intensity exercise --- fatigue --- ergogenic aids --- maximum oxygen consumption --- performance sports --- physical fitness --- sports nutrition --- continuous glucose monitoring --- carbohydrate --- trail running --- Freestyle Libre --- ketone ester --- ketogenic diet --- ketone salt --- MCT --- rotarod --- R-βHB --- beta-alanine --- ergogenic aid --- physical performance --- aerobic–anaerobic transition zone --- Paralympic powerlifting --- supplementation --- creatine --- performance --- nitric oxide --- dietary supplements --- oxygen consumption --- muscle fibres --- body composition --- strength parameters --- endurance --- training --- racquet sports --- sport supplement --- exercise --- carbohydrates --- time trial --- substrate utilization --- fat oxidation --- gastrointestinal distress --- satiety --- gut microbiota --- probiotics --- athletes --- cognitive performance --- recovery --- salt --- sarcopenia --- renalase --- body fat percentage --- knee extensor muscle strength --- single-leg stance time --- maximum gait speed --- long seat type body anteflexion --- chair rise test
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This book is a collection of 12 papers describing the role of hydrology in water resources management. The papers can be divided s according to their area of focus as 1) modeling of hydrological processes, 2) use of modern techniques in hydrological analysis, 3) impact of human pressure and climate change on water resources, and 4) hydrometeorological extremes. Belonging to the first area is the presentation of a new Muskingum flood routing model, a new tool to perform frequency analysis of maximum precipitation of a specified duration via the so-named PMAXΤP model (Precipitation MAXimum Time (duration) Probability), modeling of interception processes, and using a rainfall-runoff GR2M model to calculate monthly runoff. For the second area, the groundwater potential was evaluated using a model of multi-influencing factors in which the parameters were optimized by using geoprocessing tools in geographical information system (GIS) in combination with satellite altimeter data and the reanalysis of hydrological data to simulate overflow transport using the Nordic Sea as an example. Presented for the third area are a water balance model for the comparison of water resources with the needs of water users, the idea of adaptive water management, impacts of climate change, and anthropogenic activities on the runoff in catchment located in the western Himalayas of Pakistan. The last area includes spatiotemporal analysis of rainfall variability with regard to drought hazard and use of the copula function to meteorologically analyze drought.
Research & information: general --- GR2M --- inverse distance weighting --- rainfall-runoff model --- sensitivity analysis --- multi-influencing factors (MIF) --- vertical electrical sounding (VES) --- electrical resistivity tomography (ERT) --- groundwater resource management (GRM) --- hydro-stratigraphy --- well logs --- precipitation --- climate change --- Sen’s estimator --- Mann-Kendall --- Wadi Cheliff basin --- upper Minjiang River --- marginal distribution --- copula --- bivariate joint distribution --- return period --- rainfall partitioning --- dry tropical forest --- gash model --- interception modelling --- Nordic Sea --- overflow flux --- barotropic pressure --- baroclinic pressure --- annual maximum precipitation --- peaks-over-threshold methods --- statistical analysis --- maximum precipitation frequency analysis --- gamma --- Weibull --- log-gamma --- log-normal --- Gumbel distributions --- nonparametric tests --- drought --- trends --- SPI --- mina basin --- Algeria --- Kunhar River Basin --- streamflow --- trend analysis --- Soil and Water Assessment Tool (SWAT) --- anthropogenic impacts --- hydrologic flood routing --- Muskingum flood routing model --- meta-heuristic optimization --- self-adaptive vision correction algorithm --- Adaptive Water Management --- stakeholder engagement --- legislation --- survey --- uncertainty in water management --- water requirements of aquatic and water dependent ecosystems --- water resources allocation --- water balance model
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