Jun Zhou

Xin Li

Jia-Sheng Wang 

Yongli Ye

Gut microbiota and its metabolites may be protective or detrimental in liver diseases. Scientific discoveries regarding this complex role have benefited millions of patients in the past two decades. Famous examples are the leverages of short-chain fatty acids and bile acids to cure or mitigate many prevalent liver diseases. Recently, we have witnessed more and more ongoing and to-start studies to find the links between gut microbiota and gut/liver diseases. In addition, there are an increasing number of studies exploring the disruption of gut microbiome by food/environmental contaminants. Also, positive manipulation of gut microbiota using natural products has become a hot spot due to their potential usage in food and clinical aspects. In this regard, we are organizing this Research Topic to gather relevant advances and findings. It is already known that gut microbiota's functional and compositional changes are associated with liver diseases. The problem remains unclear on which specific gut microbiota changes are indicative of particular liver and gut diseases. For example, a high abundance of Prevotella or Veillonella in the distal intestine is observed in cirrhosis patients; an increased abundance of Lactobacillus and decreased abundance of Clostridium are observed both in patients with Metabolic Associated Fatty Liver Disease. Also, there are many factors that may cause the changes of featured gut-microbes which can interact with host. Roseburia can crosstalk with host intestinal epithelial immune cells by secreting butyrate that binds to TLR5 and SP3 signaling and then repairs the host epithelium lesion. By contrast, dietary exposure to mycotoxin aflatoxin b1 has been found to reduce the Roseburia significantly in mice and rat models. Green tea polyphenols were found to restore the abundance of Roseburia. As the above scientific issues are being explored by global scientists, it is time to call for a Research Topic in the field to gather novel findings and new progress. We believe this collection will enhance the basis for future gut-microbiota research and will surely have more patients benefit from relevant research. This Research Topic welcomes Original Research Articles, Reviews and Mini-reviews, Opinions, Perspectives and Methods. The manuscripts are suggested to be within the following scopes but not limited to: (1) Recently discovered change of gut-microbiome patterns corresponding to particular liver diseases. (2) Novel findings in terms of gut-microbiota-dependent metabolites or metabolic pathways that contribute to the incidence and mitigation of liver diseases. (3) Characterization of specific interaction or crosstalk between gut-microbiome species/family with host liver system. (4) Changes of gut-microbiota induced by xenobiotics (antibiotics; probiotics; food contaminants; natural products) and potential links with the incidence and mitigation of liver diseases. (5) Clinical or food application of natural products to manipulate gut microbiota as an alternative medicine to treat liver diseases.

New Progress on the Role of Gut Microbiota in the Incidence and Prevention of Liver Diseases

Ibrahim (Abe) M. Elfadel

Duane S. Boning

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure thatI recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Machine Learning in VLSI Computer-Aided Design

Hao Hu

Aiqun Li

Xuefeng Xie

Social, clinical and economic factors: Evidence-based healthcare financing and policy for cancer prevention and therapy

Shiwei Ma

Kang Li

George W. Irwin

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Susta- able Energy and Environment (ICSEE 2010) were formed to bring together resear- ers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system mod- ing and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings

Life System Modeling and Intelligent Computing

Ling Wang

Xin Sun

Li Jia

Huiyu Zhou

This book constitutes the first part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on biomedical signal processing, imaging, and visualization; computational methods and intelligence in modeling genetic and chemical networks and regulation; computational methods and intelligence in organism modeling; computational methods and intelligence in modeling and design of synthetic biological systems; computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering; intelligent medical apparatus and clinical applications; modeling and simulation of societies and collective behaviour; innovative education in systems modeling and simulation; data analysis and data mining of biosignals; feature selection; robust optimization and data analysis.

International Conference on Life System Modeling and Simulation, LSMS 2014, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Shanghai, China, September 2014, Proceedings, Part I

Life System Modeling and Simulation

Mr.Tamon Asonuma

Mr.Michael G. Papaioannou

Mr.Saji Thomas

This paper documents the two debt restructurings that Grenada undertook in 2004–06 and 2013–15.Both restructurings emerged as a consequence of weak fiscal and debt situations, whichbecame unsustainable soon after external shocks hit the island economy. The two restructurings provided liquidity relief, with the second one involving a principal haircut. However, the first restructuring was not able to secure long-term debt sustainability. Grenada’s restructuring experience shows the importance of (1) establishing appropriate debt restructuring objectives; (2) committing to policy reforms and maintaining ownership of the restructuring goals; and (3) engaging closely and having clear communications with creditors.

Causes, Processes, Outcomes, and Lessons Learned

Sovereign Debt Restructurings in Grenada

Minrui Fei

Qun Niu

Zhile Yang

This book constitutes the thoroughly refereed proceedings of the themed workshops of the 6th International Conference on Life System Modeling and Simulation, LSMS 2020, and of the 6th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2020, held in Hangzhou, China, in October 2020. The 36 full and 2 short papers presented were carefully reviewed and selected from over 165 submissions. The papers of this volume are organized in topical sections on: smart energy systems and devices; intelligent manufacturing and systems; and intelligent biology and information systems.

Workshops of the 6th International Conference on Life System Modeling and Simulation, LSMS 2020, and 6th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2020, Shanghai, China, October 25, 2020, Proceedings

Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops

Howard S. Wheater

Simon A. Mathias

Arid and semi-arid regions face major challenges in the management of scarce freshwater resources under pressures of population, economic development, climate change, pollution and over-abstraction. Groundwater is commonly the most important water resource in these areas. Groundwater models are widely used globally to understand groundwater systems and to guide decisions on management. However, the hydrology of arid and semi-arid areas is very different from that of humid regions, and there is little guidance on the special challenges of groundwater modelling for these areas. This book brings together the experience of internationally-leading experts to fill a gap in the scientific and technical literature. It introduces state-of-the-art methods for modelling groundwater resources, illustrated with a wide-ranging set of illustrative examples from around the world. The book is valuable for researchers, practitioners in developed and developing countries, and graduate students in hydrology, hydrogeology, water resources management, environmental engineering and geography.

Groundwater Modelling in Arid and Semi-Arid Areas

Martin Bishop

Jichao Zhao

G. Andre Ng

Fernando Soares Schlindwein

Exploring Mechanisms of Cardiac Rhythm Disturbances Using Novel Computational Methods: Prediction, Classification, and Therapy

Shunlin Liang

Xianhong Xie

This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative. This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation. Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today's earth science and modeling communities. Contents:Observation:Remote Sensing Data Products for Land Surface Data Assimilation System Application (Yunjun Yao, Shunlin Liang and Tongren Xu)Second-Generation Polar-Orbiting Meteorological Satellites of China: The Fengyun 3 Series and Its Applications in Global Monitoring (Peng Zhang)NASA Satellite and Model Land Data Services: Data Access Tutorial (Suhung Shen, Gregory Leptoukh and Hongliang Fang)Modeling:Land Surface Process Study and Modeling in Drylands and High-Elevation Regions (Yingying Chen and Kun Yang)Review of Parameterization and Parameter Estimation for Hydrologic Models (Soroosh Sorooshian and Wei Chu)Data Assimilation:Assimilating Remote Sensing Data into Land Surface Models: Theory and Methods (Xin Li and Yulong Bai)Estimating Model and Observation Error Covariance Information for Land Data Assimilation Systems (Wade T Crow)Inflation Adjustment on Error Covariance Matrices for Ensemble Kalman Filter Assimilation (Xiaogu Zheng, Guocan Wu, Xiao Liang and Shupeng Zhang)A Review of Error Estimation in Land Data Assimilation Systems (Yulong Bai, Xin Li and Qianlong Chai)An Introduction to Multi-scale Kalman Smoother-Based Framework and Its Application to Data Assimilation (Daniel E Salas and Xu Liang)Application:Overview of the North American Land Data Assimilation System (NLDAS) (Youlong Xia, Brian A Cosgrove, Michael B Ek, Justin Sheffield, Lifeng Luo, Eric F Wood, Kingtse Mo and the NLDAS team)Soil Moisture Data Assimilation for State Initialization of Seasonal Climate Prediction (Wenge Ni-Meister)Assimilation of Remote Sensing Data and Crop Simulation Models for Agricultural Study: Recent Advances and Future Directions (Hongliang Fang, Shunlin Liang and Gerrit Hoogenboom)Simultaneous State-Parameter Estimation for Hydrologic Modeling Using Ensemble Kalman Filter (Xianhong Xie) Readership: Graduate students and scientists in remote sensing, hydrology, ecology, environment and other earth sciences. Keywords:Data Assimilation;Uncertainties;Land Surface Processes;Satellite Data;Dynamic ModelsKey Features:The contribution authors are a group of leading experts international in those areasIt elaborates on the state-of-the-art land data assimilation, from theoretical derivations to current application problemsIt provides the latest development of satellite data and products, and presents novel applications of data assimilation for water cycle, crop monitoring and yield estimation

Land Surface Observation, Modeling and Data Assimilation

Luonan Chen

This three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.

7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, October 30 – November 1, 2021, Proceedings, Part I

Intelligent Life System Modelling, Image Processing and Analysis

Advanced Efficiency Solutions for Hybrid Electric Vehicles (HEVs).

International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part I

Joachim Cuntz

Siegfried Echterhoff

Guoliang Yu

This book gives an account of the necessary background for group algebras and crossed products for actions of a group or a semigroup on a space and reports on some very recently developed techniques with applications to particular examples. Much of the material is available here for the first time in book form. The topics discussed are among the most classical and intensely studied C*-algebras. They are important for applications in fields as diverse as the theory of unitary group representations, index theory, the topology of manifolds or ergodic theory of group actions. Part of the most basic structural information for such a C*-algebra is contained in its K-theory. The determination of the K-groups of C*-algebras constructed from group or semigroup actions is a particularly challenging problem. Paul Baum and Alain Connes proposed a formula for the K-theory of the reduced crossed product for a group action that would permit, in principle, its computation. By work of many hands, the formula has by now been verified for very large classes of groups and this work has led to the development of a host of new techniques. An important ingredient is Kasparov's bivariant K-theory. More recently, also the C*-algebras generated by the regular representation of a semigroup as well as the crossed products for actions of semigroups by endomorphisms have been studied in more detail. Intriguing examples of actions of such semigroups come from ergodic theory as well as from algebraic number theory. The computation of the K-theory of the corresponding crossed products needs new techniques. In cases of interest the K-theory of the algebras reflects ergodic theoretic or number theoretic properties of the action.

K-Theory for Group C*-Algebras and Semigroup C*-Algebras

Human Fist, a New Serine, Threonine Protein Kinase, Interacts with TRADD, Not with Apo-1 and TNFR1

Jiuyang Lin

Shuaifei Zhao

Introducing the advances of functional membranes along with their design and environmental applications. This book is a useful reference for environmental chemists and membrane engineers.

Advances in Functional Separation Membranes

Jun Wang

Chris Allison

Judy Hohorst

Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application presents the latest research on the most widely used nuclear codes and the wealth of successful accomplishments which have been achieved over the past decades by experts in the field. Editors Wang, Li,Allison, and Hohorst and their team of authors provide readers with a comprehensive understanding of nuclear code development and how to apply it to their work and research to make their energy production more flexible, economical, reliable and safe. Written in an accessible and practical way, each chapter considers strengths and limitations, data availability needs, verification and validation methodologies and quality assurance guidelines to develop thorough and robust models and simulation tools both inside and outside a nuclear setting. This book benefits those working in nuclear reactor physics and thermal-hydraulics, as well as those involved in nuclear reactor licensing. It also provides early career researchers with a solid understanding of fundamental knowledge of mainstream nuclear modelling codes, as well as the more experienced engineers seeking advanced information on the best solutions to suit their needs. Captures important research conducted over last few decades by experts and allows new researchers and professionals to learn from the work of their predecessors Presents the most recent updates and developments, including the capabilities, limitations, and future development needs of all codes Incudes applications for each code to ensure readers have complete knowledge to apply to their own setting.

Development, Validation, and Application

Nuclear Power Plant Design and Analysis Codes

Wen-Yan Han

Golam Jalal Ahammed

​This book focuses on the existing knowledge regarding the effect of global climate change on tea plant physiology, biochemistry, and metabolism as well as economic and societal aspects of the tea industry. Specifically, this book synthesizes recent advances in the physiological and molecular mechanisms of the responses of tea plants to various abiotic and biotic stressors including high temperature, low temperature or freezing, drought, low light, UV radiation, elevated CO2, ozone, nutrient deficiency, insect herbivory, and pathogenic agents. This book also discusses challenges and potential management strategies for sustaining tea yield and quality in the face of climate change. Dr. Wen-Yan Han is a Professor and Dr. Xin Li is an Associate Professor at the Tea Research Institute of the Chinese Academy of Agricultural Sciences (TRI, CAAS), Hangzhou, PR China. Dr. Golam Jalal Ahammed is an Associate Professor at the Department of Horticulture, College of Forestry, Henan University of Science and Technology, Luoyang, PR China.

Stress Physiology of Tea in the Face of Climate Change

This book investigates a special genre of interpreting in the Chinese context, namely Government Press Conference (GPC) Interpreting. Drawing on the modality system from Systemic Functional Grammar and a corpus of 21 interpreting events, the project explores the regular patterns of modality shifts in Chinese-English GPC interpreting and seeks explanations in the sociocultural context. As a corpus-based project, the book covers qualitative analysis of the sociocultural context, qualitative analysis of the interpersonal effects of modality shifts, and quantitative analysis of modality shifts. This book will contribute to the understanding of the distinctive features of GPC interpreting in China, shed new light on the rendition of modality between Chinese and English in specific contexts, and also inspire new thoughts on the nature of interpreting in general.

A Corpus-Based Study

The Reconstruction of Modality in Chinese-English Government Press Conference Interpreting

Zhou Su

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part I

Advanced Computational Methods in Life System Modeling and Simulation

Xin Li

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