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Advances in nanotechnology have allowed physicists and engineers to miniaturize electronic structures to the limit where finite-size related phenomena start to impact their properties. This book discusses such phenomena and models made for their description. The book starts from the semiclassical description of nonequilibrium effects, details the scattering theory used for quantum transport calculations, and explains the main interference effects. It also describes how to treat fluctuations and correlations, how interactions affect transport through small islands, and how superconductivity modifies these effects. The last two chapters describe new emerging fields related with graphene and nanoelectromechanics. The focus of the book is on the phenomena rather than formalism, but the book still explains in detail the main models constructed for these phenomena. It also introduces a number of electronic devices, including the single-electron transistor, the superconducting tunnel junction refrigerator, and the superconducting quantum bit.--

Nanoelectronics --- Transport theory --- Fluctuations (Physics) --- Low temperatures --- Low temperatures. --- Nanoelectronics. --- Transport theory. --- Nanoélectronique --- Transport, Théorie du --- Fluctuations (physique) --- Basses températures --- Fluctuations (Physics). --- Théorie du transport

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Nonequilibrium statistical mechanics. --- Nanoscience. --- Mesoscopic phenomena (Physics) --- Fluctuations (Physics)

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Direct and to the point, this book from one of the field's leaders covers Brownian motion and stochastic calculus at the graduate level, and illustrates the use of that theory in various application domains, emphasizing business and economics. The mathematical development is narrowly focused and briskly paced, with many concrete calculations and a minimum of abstract notation. The applications discussed include: the role of reflected Brownian motion as a storage model, queuing model, or inventory model; optimal stopping problems for Brownian motion, including the influential McDonald-Siegel investment model; optimal control of Brownian motion via barrier policies, including optimal control of Brownian storage systems; and Brownian models of dynamic inference, also called Brownian learning models or Brownian filtering models.

Brownian motion processes. --- Stochastic processes. --- Random processes --- Probabilities --- Wiener processes --- Brownian movements --- Fluctuations (Physics) --- Markov processes --- Mathematical Sciences --- Probability

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This paper examines the usefulness of asset prices in predicting recessions in the G-7 countries. It finds that asset price drops are significantly associated with the beginning of a recession in these countries. In particular, the marginal effect of an equity/house price drop on the likelihood of a new recession can be substantial. Equity price drops are, however, larger and are more frequent than house price drops, making them on average more helpful as recession predictors. These findings are robust to the inclusion of the term-spread, uncertainty, and oil prices. Lastly, there is no evidence of significant bias resulting from the rarity of recession starts.

Business cycles. --- Stock price forecasting. --- Housing --- Dwellings --- Home prices --- House prices --- Housing prices --- Residential real estate --- Forecasting, Stock price --- Security price forecasting --- Stocks --- Business forecasting --- Economic cycles --- Economic fluctuations --- Cycles --- Prices. --- Prices --- Forecasting --- Finance: General --- Investments: Stocks --- Macroeconomics --- Real Estate --- Business Fluctuations --- Prices, Business Fluctuations, and Cycles: Forecasting and Simulation --- Financial Forecasting and Simulation --- Price Level --- Inflation --- Deflation --- Energy: Demand and Supply --- Housing Supply and Markets --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- General Financial Markets: General (includes Measurement and Data) --- Property & real estate --- Investment & securities --- Finance --- Asset prices --- Oil prices --- Stock markets --- Financial institutions --- Financial markets --- Stock exchanges --- United States

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Patterns and their formations appear throughout nature, and are studied to analyze different problems in science and make predictions across a wide range of disciplines including biology, physics, mathematics, chemistry, material science, and nanoscience. With the emergence of nanoscience and the ability for researchers and scientists to study living systems at the biological level, pattern formation research has become even more essential. This book is an accessible first of its kind guide for scientists, researchers, engineers, and students who require a general introduction to thi

Oscillations. --- Pattern formation (Biology). --- Pattern formation (Physical sciences). --- Pattern formation (Physical sciences) --- Pattern formation (Biology) --- Oscillations --- Physical Sciences & Mathematics --- Sciences - General --- Cycles --- Fluctuations (Physics) --- Vibration --- Biological pattern formation --- Developmental biology --- Chaotic behavior in systems