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This book collects original and innovative research studies concerning modeling and simulation of physical systems in a very wide range of applications, encompassing micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, biological and chemical sensors, magnetosensitive materials, silicon photonic devices, electronic devices, optical fibers, electro-microfluidic systems, composite materials, fuel cells, indoor air-conditioning systems, active magnetic levitation systems and more. Some of the most recent numerical techniques, as well as some of the software among the most accurate and sophisticated in treating complex systems, are applied in order to exhaustively contribute in knowledge advances.

Modeling. --- Simulation. --- Clay modeling --- Modelling --- Molding (Clay, plaster, etc.) --- Clay --- Sculpture --- Technique --- Computer modelling & simulation

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Karen Petrone shatters the notion that World War I was a forgotten war in the Soviet Union. Although never officially commemorated, the Great War was the subject of a lively discourse about religion, heroism, violence, and patriotism during the interwar period. Using memoirs, literature, films, military histories, and archival materials, Petrone reconstructs Soviet ideas regarding the motivations for fighting, the justification for killing, the nature of the enemy, and the qualities of a hero. She reve

World War, 1914-1918 --- Collective memory --- War memorials --- War and society --- Political culture --- Patriotism --- Social aspects --- Influence. --- History. --- Soviet Union --- Social conditions --- Politics and government

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This book investigates the use of palladium modified by bulky ligands as catalysts for new chemical transformations that rapidly assemble several classes of complex heterocyles. It documents the development of new chemical reactions involving carbon–carbon (C‒C) and carbon–halogen (C‒X) bond formation in the context of alkene difunctionalization and dearomatization reactions. Due to the ubiquity of heterocycles in bioactive natural products and life-improving pharmaceutical treatments, a long-term goal for synthetic organic chemists has been to develop novel and creative heterocycle syntheses that illicit a high degree of product diversity and are characterized by mild reaction conditions and limited waste production. A considerable fraction of leading pharmaceutical drugs contain at least one heterocycle within their chemical structure, and their prevalence in these technologies is strong evidence that the fundamental curiosities of organic chemistry lead to real-world solutions for the health and wellness of the global population.

Ring formation (Chemistry) --- Chemistry. --- Organometallic chemistry. --- Medicinal chemistry. --- Catalysis. --- Organometallic Chemistry. --- Medicinal Chemistry. --- Cyclization (Chemistry) --- Cycloaddition --- Exo-condensation --- Chemical reactions --- Chemistry, Organic. --- Biochemistry. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Biology --- Chemistry --- Medical sciences --- Activation (Chemistry) --- Chemistry, Physical and theoretical --- Surface chemistry --- Organic chemistry --- Composition --- Organometallic chemistry . --- Chemistry, Medical and pharmaceutical --- Chemistry, Pharmaceutical --- Drug chemistry --- Drugs --- Medical chemistry --- Medicinal chemistry --- Pharmacochemistry --- Chemistry, Organometallic --- Metallo-organic chemistry --- Chemistry, Organic

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This book collects a selection of papers presented at ELECTRIMACS 2019 - The 13th international conference of the IMACS TC1 Committee, held in Salerno, Italy, on 21st-23rd May 2019. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy systems, energy storage, batteries, supercapacitors and fuel cells, wireless power transfer. The contributions included in Volume 2 are particularly focussed on methodological aspects, modelling and applied mathematics in the field of electrical engineering.

Power electronics. --- Physics. --- Energy systems. --- Computer mathematics. --- Engineering mathematics. --- Power Electronics, Electrical Machines and Networks. --- Numerical and Computational Physics, Simulation. --- Energy Systems. --- Computational Science and Engineering. --- Engineering Mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Computer mathematics --- Electronic data processing --- Mathematics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Electronics, Power --- Electric power --- Electronics --- Power electronics

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State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed. Giovanni Petris is Associate Professor at the University of Arkansas. He has published many articles on time series analysis, Bayesian methods, and Monte Carlo techniques, and has served on National Science Foundation review panels. He regularly teaches courses on time series analysis at various universities in the US and in Italy. An active participant on the R mailing lists, he has developed and maintains a couple of contributed packages. Sonia Petrone is Associate Professor of Statistics at Bocconi University,Milano. She has published research papers in top journals in the areas of Bayesian inference, Bayesian nonparametrics, and latent variables models. She is interested in Bayesian nonparametric methods for dynamic systems and state space models and is an active member of the International Society of Bayesian Analysis. Patrizia Campagnoli received her PhD in Mathematical Statistics from the University of Pavia in 2002. She was Assistant Professor at the University of Milano-Bicocca and currently works for a financial software company.

Linear models (Statistics) -- Data processing. --- R (Computer program language). --- State-space methods. --- R (Computer program language) --- Linear models (Statistics) --- State-space methods --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Data processing --- Bayesian statistical decision theory. --- Monte Carlo method. --- Artificial sampling --- Model sampling --- Monte Carlo simulation --- Monte Carlo simulation method --- Stochastic sampling --- Bayes' solution --- Bayesian analysis --- Mathematical statistics. --- Statistical Theory and Methods. --- Games of chance (Mathematics) --- Mathematical models --- Numerical analysis --- Numerical calculations --- Stochastic processes --- Statistical decision --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics. --- GNU-S (Computer program language) --- Domain-specific programming languages