Yan Liu – författare

The Material Point Method: A Continuum-Based Particle Method for Extreme Loading Cases systematically introduces the theory, code design, and application of the material point method, covering subjects such as the spatial and temporal discretization of MPM, frequently-used strength models and equations of state of materials, contact algorithms in MPM, adaptive MPM, the hybrid/coupled material point finite element method, object-oriented programming of MPM, and the application of MPM in impact, explosion, and metal forming.

Recent progresses are also stated in this monograph, including improvement of efficiency, memory storage, coupling/combination with the finite element method, the contact algorithm, and their application to problems.

Provides a user's guide and several numerical examples of the MPM3D-F90 code that can be downloaded from a website Presents models that describe different types of material behaviors, with a focus on extreme events. Includes applications of MPM and its extensions in extreme events, such as transient crack propagation, impact/penetration, blast, fluid-structure interaction, and biomechanical responses to extreme loading

Winner of the 2023 William H. Welch Medal, sponsored by the American Association for the History of Medicine A revealing study of risky cures in classical Chinese pharmacy At first glance, medicine and poison might seem to be opposites. But in China’s formative era of pharmacy (200–800 CE), poisons were strategically deployed as healing agents to cure everything from chills to pains to epidemics. Healing with Poisons explores the ways physicians, religious devotees, court officials, and laypeople used powerful substances to both treat intractable illnesses and enhance life. It illustrates how the Chinese concept of du—a word carrying a core meaning of “potency”—led practitioners to devise a variety of techniques to transform dangerous poisons into efficacious medicines. Recounting scandals and controversies involving poisons from the Era of Division to the early Tang period, Yan Liu considers how the concept of du was central to the ways people of medieval China perceived both their bodies and the body politic. Liu also examines a wide range of du-possessing minerals, plants, and animal products in classical Chinese pharmacy, including the highly poisonous herb aconite and the popular arsenic drug Five-Stone Powder. By recovering alternative modes of understanding wellness and the body’s interaction with potent medicines, this study cautions against arbitrary classifications and exemplifies the importance of paying attention to the technical, political, and cultural conditions in which substances become truly meaningful. Healing with Poisons is freely available in an open access edition thanks to TOME (Toward an Open Monograph Ecosystem) and the generous support of the University at Buffalo Libraries. DOI 10.6069/9780295749013

Urban development and migration from rural to urban areas are impacting prime agricultural land and natural landscapes, particularly in the less developed countries. These phenomena will persist and require serious study by those monitoring global environmental change. To address this need, various models have been devised to analyze urbanization and the physical, socioeconomic, and institutional factors impacting urban development. The most promising and rapidly developing of these paradigms take advantage of new Geographical Information System (GIS) technology. Modelling Urban Development with Geographical Information Systems and Cellular Automata presents one such cutting-edge model that is more than just predictive. It describes how the model simulates the urbanization process, and it provides theoretical context to promote understanding. Starting with a practical overview of the modelling techniques used in urban development research, the author focuses on the cellular automata model and its greatest strength – the incorporation of fuzzy set and fuzzy logic approaches through which urban development can be viewed as a spatially and temporally continuous process. Real-Life Application to Develop Future Planning Methods The text describes a landmark study underway, in which the fuzzy constrained cellular automata model has been implemented in a GIS environment to simulate urban development in Sydney, Australia. Featuring a survey of associated research and a geographical database for the Sydney simulation, this book answers many general "what if" questions for urban planners and details a new approach that they can adapt to their own testing and evaluation needs. This modeling method will provide researchers and planners with the means to not just predict population trends, but to better prepare for their consequences.

Modern Chinese for Heritage Beginners aims to serve as a stepping-stone for Chinese heritage language learners’ future Chinese learning, inspiring them to reflect on their identities, learn Chinese American history, and embrace their cultural heritage.The book starts with talking about individuals and families and then expands to the Chinese and Asian American communities in the U.S. and eventually to the entire American society, all from the unique perspective of Chinese American students. Taking a macro approach that builds learners’ literacy skills on their initial abilities in speaking and listening, each lesson starts with listening and speaking activities and then moves to reading and writing. The content complexity and language difficulty are balanced to present rich content that matches students’ critical thinking abilities in a language appropriate for their literacy level. Lively and humorous language makes the book a joy to read. Each lesson has a conversation and an essay to expose students to informal and formal registers. Moreover, authentic tasks are designed to facilitate students’ language output, following the three modes of communication promoted by the American Council on Teaching Foreign Languages: interpersonal, interpretive, and presentational.This theme-based Chinese textbook is written for high school and college-level Chinese heritage language learners.

Modern Chinese for Heritage Beginners aims to serve as a stepping-stone for Chinese heritage language learners’ future Chinese learning, inspiring them to reflect on their identities, learn Chinese American history, and embrace their cultural heritage.The book starts with talking about individuals and families and then expands to the Chinese and Asian American communities in the U.S. and eventually to the entire American society, all from the unique perspective of Chinese American students. Taking a macro approach that builds learners’ literacy skills on their initial abilities in speaking and listening, each lesson starts with listening and speaking activities and then moves to reading and writing. The content complexity and language difficulty are balanced to present rich content that matches students’ critical thinking abilities in a language appropriate for their literacy level. Lively and humorous language makes the book a joy to read. Each lesson has a conversation and an essay to expose students to informal and formal registers. Moreover, authentic tasks are designed to facilitate students’ language output, following the three modes of communication promoted by the American Council on Teaching Foreign Languages: interpersonal, interpretive, and presentational.This theme-based Chinese textbook is written for high school and college-level Chinese heritage language learners.

A pioneering treatise presenting how the new mathematical techniques of holographic duality unify seemingly unrelated fields of physics. This innovative development morphs quantum field theory, general relativity and the renormalisation group into a single computational framework and this book is the first to bring together a wide range of research in this rapidly developing field. Set within the context of condensed matter physics and using boxes highlighting the specific techniques required, it examines the holographic description of thermal properties of matter, Fermi liquids and superconductors, and hitherto unknown forms of macroscopically entangled quantum matter in terms of general relativity, stars and black holes. Showing that holographic duality can succeed where classic mathematical approaches fail, this text provides a thorough overview of this major breakthrough at the heart of modern physics. The inclusion of extensive introductory material using non-technical language and online Mathematica notebooks ensures the appeal to students and researchers alike.

Demonstrates how to solve reliability problems using practical applications of Bayesian modelsThis self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.  Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodologyEducates managers on the potential of Bayesian reliability models and associated impactIntroduces commonly used predictive reliability models and advanced Bayesian models based on real life applicationsIncludes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studiesJAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

Urban development and migration from rural to urban areas are impacting prime agricultural land and natural landscapes, particularly in the less developed countries. These phenomena will persist and require serious study by those monitoring global environmental change. To address this need, various models have been devised to analyze urbanization and the physical, socioeconomic, and institutional factors impacting urban development. The most promising and rapidly developing of these paradigms take advantage of new Geographical Information System (GIS) technology. Modelling Urban Development with Geographical Information Systems and Cellular Automata presents one such cutting-edge model that is more than just predictive. It describes how the model simulates the urbanization process, and it provides theoretical context to promote understanding. Starting with a practical overview of the modelling techniques used in urban development research, the author focuses on the cellular automata model and its greatest strength – the incorporation of fuzzy set and fuzzy logic approaches through which urban development can be viewed as a spatially and temporally continuous process. Real-Life Application to Develop Future Planning Methods The text describes a landmark study underway, in which the fuzzy constrained cellular automata model has been implemented in a GIS environment to simulate urban development in Sydney, Australia. Featuring a survey of associated research and a geographical database for the Sydney simulation, this book answers many general "what if" questions for urban planners and details a new approach that they can adapt to their own testing and evaluation needs. This modeling method will provide researchers and planners with the means to not just predict population trends, but to better prepare for their consequences.

This report investigates the role of foreign direct investment (FDI) in helping developing countries participate in global value chains (GVCs). It aims to provide practical guidance for developing countries to develop strategies that use FDI to strengthen GVC participation and upgrading.

Qu Leilei now stands as a technically accomplished master, capable of handling brush and ink with the utmost competency and photographic-like quality. His visual language is well established, and it represents a fusion of east and west. Some ink painters have chosen to push boundaries by making traditional styles more abstract or ornamented. By contrast, Leilei has sought to blend the descriptive, realistic styles of the European Renaissance with Chinese ink painting. Moreover, he has constantly worked to achieve profound concepts in his work, ideas that have universal application. This catalogue is a retrospective, an overview of the body of work Qu Leilei has produced up to the present day. Certain broad themes can be divined: a burning interest in the history of China, and what can be learned from it; a loving concern for human beings and their individual achievements; an absorption in the anatomy and depiction of the human body; an urge to warn against the perils of the world; and a heartfelt desire to integrate Chinese and western art practice and techniques. These themes have been pursued with ever-growing skill throughout the years.

This book constitutes the refereed proceedings of the 25th International Conference on DNA Computing and Molecular Programming, DNA 25, held in Seattle, WA, USA, in August 2019. The 12 full papers presented were carefully selected from 19 submissions. molecular motors and molecular robotics;

Clean and sustainable energy is of paramount importance for industrial activities, economic development, environment, and public welfare. Aiming to reach NetZero, researchers in both academia and industry as well as policymakers are now putting tremendous efforts into the generation, storage, and applications of clean energy. This collection focuses on new and efficient energy technologies including innovative ore beneficiation, smelting technologies, recycling and waste heat recovery, and emerging novel energy solutions. The volume also covers a broad range of mature and new technological aspects of sustainable energy ecosystems, processes that improve energy efficiency, reduce thermal intensity and pollutants, and reduce carbon dioxide and other greenhouse emissions. Topics include, but are not limited to:• Energy efficient technologies for minerals, metals & materials processing • Clean energy technologies, such as biomass, solar, wind, geothermal, nuclear including SMRs, hydrogen, etc. • Renewable energy resources to reduce the consumption of traditional fossil fuels • Emerging technologies for renewable energy harvesting, conversion, and storage • New concepts or devices for energy generation, conversion, and distribution • Waste heat recovery and other industrial energy efficient technologies • Energy education and energy regulation • Scale-up, stability, and life-cycle analysis of energy technologies and improvement of existing energy-intensive processes • Theory and simulation in energy harvesting, conversion, and storage • Design, operation, and optimization of processes for energy generation (e.g., carbon capture) and conversion of energy carriers • Energy efficiency improvement in process engineering (e.g., for biomass conversion and improved combustion) and electrical engineering (e.g., for power conversion and developing smart grids) • Thermo-electric/electrolysis/photo-electrolysis/fundamentals of PV • Emission control, CO2 capture, and conversion • Carbon sequestration techniques • CO2 and other greenhouse gas reduction metallurgy in ferrous (iron & steel making and forming), non-ferrous and reactive metals including critical rare-earth metals • Sustainability and life cycle assessment of energy systems • Thermodynamics and modelling for sustainable metallurgical processes • 'Smart cool materials' for urban heat island mitigation (such as cool roof infrared reflecting material, and low-temperature heat absorbers for use in air conditioner condensers - like 'endothermic materials') • Methodologies for reducing the cost of energy materials production • Circular economy and developing resource efficiency model for cutting down the transport from remote places • Materials extraction and processing steps for enhancing energy efficiencies in batteries, supercapacitors, and energy efficient cells • Foundational industry (metals-alloys, chemicals, refractories, cement) and energy economy and role of mineral extraction

Clean and sustainable energy is of paramount importance for industrial activities, economic development, environment, and public welfare. Aiming to reach NetZero, researchers in both academia and industry as well as policymakers are now putting tremendous efforts into the generation, storage, and applications of clean energy. This collection focuses on new and efficient energy technologies including innovative ore beneficiation, smelting technologies, recycling and waste heat recovery, and emerging novel energy solutions. The volume also covers a broad range of mature and new technological aspects of sustainable energy ecosystems, processes that improve energy efficiency, reduce thermal intensity and pollutants, and reduce carbon dioxide and other greenhouse emissions. Topics include, but are not limited to:• Energy efficient technologies for minerals, metals & materials processing • Clean energy technologies, such as biomass, solar, wind, geothermal, nuclear including SMRs, hydrogen, etc. • Renewable energy resources to reduce the consumption of traditional fossil fuels • Emerging technologies for renewable energy harvesting, conversion, and storage • New concepts or devices for energy generation, conversion, and distribution • Waste heat recovery and other industrial energy efficient technologies • Energy education and energy regulation • Scale-up, stability, and life-cycle analysis of energy technologies and improvement of existing energy-intensive processes • Theory and simulation in energy harvesting, conversion, and storage • Design, operation, and optimization of processes for energy generation (e.g., carbon capture) and conversion of energy carriers • Energy efficiency improvement in process engineering (e.g., for biomass conversion and improved combustion) and electrical engineering (e.g., for power conversion and developing smart grids) • Thermo-electric/electrolysis/photo-electrolysis/fundamentals of PV • Emission control, CO2 capture, and conversion • Carbon sequestration techniques • CO2 and other greenhouse gas reduction metallurgy in ferrous (iron & steel making and forming), non-ferrous and reactive metals including critical rare-earth metals • Sustainability and life cycle assessment of energy systems • Thermodynamics and modelling for sustainable metallurgical processes • 'Smart cool materials' for urban heat island mitigation (such as cool roof infrared reflecting material, and low-temperature heat absorbers for use in air conditioner condensers - like 'endothermic materials') • Methodologies for reducing the cost of energy materials production • Circular economy and developing resource efficiency model for cutting down the transport from remote places • Materials extraction and processing steps for enhancing energy efficiencies in batteries, supercapacitors, and energy efficient cells • Foundational industry (metals-alloys, chemicals, refractories, cement) and energy economy and role of mineral extraction

The book is the first thorough study of the role of phosphorus chemistry in the origin of life. This book starts with depiction of the phosphorus role in life creation and evolution. Then it outlines in vital processes how different phosphorus-containing compounds participate as biomarker in life evolution. Written by renowned scientists, it is suitable for researchers and students in organic phosphorus chemistry and biochemistry.

"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error.

This book systematically explains the fundamentals of system-level electromagnetic compatibility and introduces the basic concept of system-level electromagnetic compatibility quantification design. The topics covered include the critical technologies in the top-down quantification design of electromagnetic compatibility, quantification design of system-level electromagnetic compatibility, evaluation methods and application examples, quality control and application examples of electromagnetic compatibility development process, and real-world engineering example analysis of electromagnetic compatibility.The book proposes a top-down system-level electromagnetic compatibility quantification design method and is the first book to describe in detail how to quantitatively evaluate and predict system-level electromagnetic compatibility performance. It includes abundant engineering examples and experimental data demonstrating the usage and results of the top-down quantification design methods of system-level electromagnetic compatibility.It enables readers to obtain a thorough understanding of the theory and methods of system-level electromagnetic compatibility quantification design as well as the methodologies for engineering practice.

This textbook contains the contents coming from hydraulics, hydrodynamics, chemical principles, chemical reaction engineering and bioengineering, which relates closely with fundamental principles in environmental engineering.

This textbook contains the contents coming from hydraulics, hydrodynamics, chemical principles, chemical reaction engineering and bioengineering, which relates closely with fundamental principles in environmental engineering.

This book compiles theoretical developments on statistical inference for time series and related models in honor of Masanobu Taniguchi's 70th birthday. It covers models such as long-range dependence models, nonlinear conditionally heteroscedastic time series, locally stationary processes, integer-valued time series, Lévy Processes, complex-valued time series, categorical time series, exclusive topic models, and copula models.  Many cutting-edge methods such as empirical likelihood methods, quantile regression, portmanteau tests, rank-based inference, change-point detection, testing for the goodness-of-fit, higher-order asymptotic expansion, minimum contrast estimation, optimal transportation, and topological methods are proposed, considered, or applied to complex data based on the statistical inference for stochastic processes.The performances of these methods are illustrated by a variety of data analyses. This collection of original papers provides the reader with comprehensive and state-of-the-art theoretical works on time series and related models. It contains deep and profound treatments of the asymptotic theory of statistical inference. In addition, many specialized methodologies based on the asymptotic theory are presented in a simple way for a wide variety of statistical models. This Festschrift finds its core audiences in statistics, signal processing, and econometrics.