Jun Chen

Xiangfu Zong

Yangyuan Wang

Proceedings of the International Conference : Oct. 24-29, 1988, Shanghai, China

Materials and Process Characterization for VLSI, 1988 (ICMPC '88)

Zhong Lin Wang

Long Lin

Simiao Niu

Yunlong Zi

This book introduces an innovative and high-efficiency technology for mechanical energy harvesting. The book covers the history and development of triboelectric nanogenerators, basic structures, working principles, performance characterization, and potential applications. It is divided into three parts: Part A illustrates the fundamental working modes of triboelectric nanogenerators with their prototype structures and theoretical analysis; Part B and Part C introduce two categories of applications, namely self-powered systems and self-powered active sensors. The book will be an ideal guide to scientists and engineers beginning to study triboelectric nanogenerators or wishing to deepen their knowledge of the field. Readers will be able to place the technical details about this technology in context, and acquire the necessary skills to reproduce the experimental setups for fabrication and measurement.

Triboelectric Nanogenerators

Augustin Holl

Guiyun Guan

This is an open access book. ICHESS started in 2018, the last four sessions of ICHESS have all been successfully published. ICHESS is to bring together innovative academics and industrial experts in the field of Humanities Education and Social Sciences to a common forum. And we achieved the primary goal which is to promote research and developmental activities in Humanities Education and Social Sciences, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022) was held on October 14-16, 2022 in Chongqing, China. ICHESS 2022 is to bring together innovative academics and industrial experts in the field of Humanities Education and Social Sciences to a common forum. The primary goal of the conference is to promote research and developmental activities in Humanities Education and Social Sciences and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Humanities Education and Social Sciences and related areas.

Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022)

Edward P K Tsang

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

Data Science, Machine Learning and Algorithmic Trading

Detecting Regime Change in Computational Finance

John H. Zhang

Xiaoming Hu

This book provides a comprehensive overview of the latest research in the role of non-neuronal cells - astrocytes, oligodendrocytes, endothelial cells, pericytes, microglia, and other immune cells in ischemic brain injury and long-term recovery. In these cases, neurodegeneration and brain repair are controlled in a sophisticated system, incorporating interactions between different cell types and cellular systems. Also explored are the therapeutic strategies that target non-neuronal responses after stroke and their translational potentials.

Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke

Jian Wang

Ling Wei

The blood-brain-barrier serves to encapsulate and protect the central nervous system, but it also presents a major barricade to therapeutic drug delivery. Poor penetration is the most common hurdle to translating a promising experimental therapy that uses invasive delivery methods to a clinically useful application. In the last 10 years, intranasal delivery of various therapeutic compounds including small chemicals, large proteins, and even stem cells has proven to be very effective in bypassing the blood-brain-barrier and has led to some important advances in translational research for stroke and other neurological diseases. The proposed book will bring together reports from various labs around the world who have had successes in pre-clinical studies of intranasal therapies for various diseases including adult and perinatal stroke, Alzheimer's, Parkinson's, and others.​

Therapeutic Intranasal Delivery for Stroke and Neurological Disorders

Chao Wang

Jianxun Ding

Wei Tao

Emerging Micro- and Nanotechnologies for Medical and Pharmacological Applications

Ju H. Park

Tae H. Lee

Yajuan Liu

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay systems in continuous and discrete time domain, and presents corresponding stability conditions for the nominal system and an applicable nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem Event-triggered control problems; Dynamic output feedback control problems; Reliable sampled-data control problems. Finally, some application topics covering filtering, state estimation, and synchronization are considered. The book will be a valuable resource and guide for graduate students, scientists, and engineers in the system sciences and control communities.

Dynamic Systems with Time Delays: Stability and Control

Xiao-Ming Xu

Zao C. Xu

Despite numerous recent studies and exciting discoveries in the field, only limited treatment is available today for the victims of acute neurological injuries. Animal Models of Acute Neurological Injuries provides a standardized methodology manual designed to eliminate the inconsistent preparations and variability that currently jeopardizes advances in the field. Contributed by top experts and many original developers of the models, each chapter contains a step-by-step, proven procedure and visual aids covering the most commonly used animal models of neurological injury in order to highlight the practical applications of animal models rather than the theoretical issues. This intensive volume presents its readily reproducible protocols with great clarity and consistency to best aid neuroscientists and neurobiologists in laboratory testing and experimentation. Comprehensive and cutting-edge, Animal Models of Acute Neurological Injuries is an ideal guide for scientists and researchers who wish to pursue this vital course of study with the proficiency and precision that the field requires.

Animal Models of Acute Neurological Injuries

Jun Chen

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