Yi Wang

The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields.

The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields.

Does the language we speak affect the way we think? This Element provides a synthesis of contemporary research on the interplay between language and cognition in speakers of two or more languages and examines variables deemed to impact bilingual acquisition and conceptualization of language-specific thinking patterns during L2 learning. An overview of different yet interrelated studies is offered across a variety of conceptual domains to illustrate different approaches and key variables. The comparison of monolingual and bilingual data demonstrates the highly integrative nature between L2 learning and the changing of one's entire cognitive outlook in L2 speakers. This Element makes relevant connections between language learning and bilingual cognition, aiming to shed new light on how learners acquire conceptual distinctions of the target language(s). It also raises theoretical and pedagogical issues that encourage teachers to reflect upon how to incorporate recent advances in language-and-cognition research with aspects of L2 teaching.

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

This thesis focuses on magnetic reconnection processes in the boundary layer of the interplanetary magnetic cloud. Magnetic reconnection is an important and frontier topic in the realm of physics. Various physical phenomena can be observed during the reconnection process but lots of them are not fully understood. This thesis provides the first observational evidence of energetic electrons associated with magnetic reconnection in the solar wind and discusses the particle acceleration problems. In addition, after analyzing the particle flux variations in Magnetic Cloud Boundary Layer, the thesis proposes a possible new criterion for the identification of magnetic reconnection in the solar wind. These tantalizing results could be particular clues to understand the dynamical problems in magnetic reconnection processes.

This thesis focuses on magnetic reconnection processes in the boundary layer of the interplanetary magnetic cloud. Magnetic reconnection is an important and frontier topic in the realm of physics. Various physical phenomena can be observed during the reconnection process but lots of them are not fully understood. This thesis provides the first observational evidence of energetic electrons associated with magnetic reconnection in the solar wind and discusses the particle acceleration problems. In addition, after analyzing the particle flux variations in Magnetic Cloud Boundary Layer, the thesis proposes a possible new criterion for the identification of magnetic reconnection in the solar wind. These tantalizing results could be particular clues to understand the dynamical problems in magnetic reconnection processes.

This book introduces the current state of research on dark energy. It consists of three parts. The first part is for preliminary knowledge, including general relativity, modern cosmology, etc. The second part reviews major theoretical ideas and models of dark energy. The third part reviews some observational and numerical works. The aim of this book is to provide a sufficient level of understanding of dark energy problems, so that the reader can both get familiar with this area quickly and also be prepared to tackle the scientific literature on this subject. It will be useful for graduate students and researchers who are interested in dark energy.

This is the first book that presents a comprehensive introduction to and overview of electro-magnetic tissue property imaging techniques using MRI, focusing on Magnetic Resonance Electrical Impedance Tomography (MREIT), Electrical Properties Tomography (EPT) and Quantitative Susceptibility Mapping (QSM). The contrast information from these novel imaging modalities is unique since there is currently no other method to reconstruct high-resolution images of the electro-magnetic tissue properties including electrical conductivity, permittivity, and magnetic susceptibility. These three imaging modalities are based on Maxwell's equations and MRI data acquisition techniques. They are expanding MRI's ability to provide new contrast information on tissue structures and functions.To facilitate further technical progress, the book provides in-depth descriptions of the most updated research outcomes, including underlying physics, mathematical theories and models, measurement techniques, computation issues, and other challenging problems.