Li Sun – författare

Seismic Performance of Asymmetric Building Structures presents detailed investigations on the effective assessment of structural seismic response under excessive torsional vibrations, demonstrating behavioural aspects from local response perspective to global seismic demands. The work provides comprehensive analytical, computational, experimental investigations, and proposes improved design guidelines that structural engineers can utilize to enhance the seismic design of asymmetric building structures.Combining extensive experimental and numerical data stock for seismic performance assessment with a particular focus on asymmetric building structures, the book includes:• An overview of asymmetric building structures from seismic damage perspective• Local and global performance assessment of asymmetric structures under extreme seismic actions• Post-earthquake damage evaluation from varying frequency trends • Extended numerical applications for experimental response validations• Evaluation of critical regions of asymmetric structure with stress concentration• Statistical distribution of seismic response under varying design parameters• Design guidelines for asymmetric building structures This work's comprehensive evaluations are carried out with modern sensing techniques planned with meticulous attention to cover objectives with a particular focus on asymmetry in reinforced concrete and steel structures. It assesses various aspects of asymmetric building structures that are rarely dealt with in the current literature. It gathers fruitful information from various building design codes and explains their limitations in addressing damage-related challenges, which is not only useful for practicing engineers but also for academics. The book will be invaluable for experts, researchers, students and practitioners from relevant areas, as well as for emergency preparedness managers.

Seismic Performance of Asymmetric Building Structures presents detailed investigations on the effective assessment of structural seismic response under excessive torsional vibrations, demonstrating behavioural aspects from local response perspective to global seismic demands. The work provides comprehensive analytical, computational, experimental investigations, and proposes improved design guidelines that structural engineers can utilize to enhance the seismic design of asymmetric building structures.Combining extensive experimental and numerical data stock for seismic performance assessment with a particular focus on asymmetric building structures, the book includes:• An overview of asymmetric building structures from seismic damage perspective• Local and global performance assessment of asymmetric structures under extreme seismic actions• Post-earthquake damage evaluation from varying frequency trends • Extended numerical applications for experimental response validations• Evaluation of critical regions of asymmetric structure with stress concentration• Statistical distribution of seismic response under varying design parameters• Design guidelines for asymmetric building structures This work's comprehensive evaluations are carried out with modern sensing techniques planned with meticulous attention to cover objectives with a particular focus on asymmetry in reinforced concrete and steel structures. It assesses various aspects of asymmetric building structures that are rarely dealt with in the current literature. It gathers fruitful information from various building design codes and explains their limitations in addressing damage-related challenges, which is not only useful for practicing engineers but also for academics. The book will be invaluable for experts, researchers, students and practitioners from relevant areas, as well as for emergency preparedness managers.

This volume features invited scholarly papers on the topic of molecular and integrative physiology of the musculoskeletal system by clinician-scientists who work at both the bench and the bedside. In addition to bone physiology, this volume also includes papers on muscle physiology and on new paradigms such as arthritis, crossover therapeutics for bisphosphonates in cancer medicine, bone marrow stem cell research in cardiology, and systems biology and bone pathophysiology. This volume examines the musculoskeletal system a complex network of molecular signaling both within the bone and also among bone, muscle, and other organs, such as the intestine, brain, pancreas, adipose tissue, and pituitary gland. Owing to these complex pathways, there are many novel molecular targets for drug development to treat disorders that have been heretofore overlooked or neglected. These include cachexia, sarcopenia, osteoporosis, and various deconditioned states associated with an array of chronic illnesses.New paradigms of therapeutic interventions can be realized from a systems approach and from the use of crossover therapies. The skeletal system is intensively involved with immunological and hormonal activity, and tapping these resources may provide more effective ways to manage disease.NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please click here.ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit http://www.nyas.org/MemberCenter/Join.aspx for more information about becoming a member.

A Comprehensive Guide to Theory and Implementation.Bridging the gap between theory and practice with this extensive guide to neural networks, featuring parallel implementations in both Python and MATLAB.Navigating the complex landscape of neural networks requires not only a firm grasp of theoretical foundations but also the practical skills to implement them effectively. Practical Neural Networks in Python and MATLAB is designed to be a definitive resource, offering a unique dual-language approach to mastering these powerful models.Key Features:A Dual-Language, Integrated Approach: This book provides a side-by-side exploration of neural networks in both Python and MATLAB. This methodology allows you to leverage Python's rich deep learning ecosystem (TensorFlow, Keras, PyTorch) and MATLAB's specialized toolboxes, giving you the flexibility to work within your preferred environment or across different project requirements.Comprehensive Coverage of Algorithms and Architectures: Move beyond basic backpropagation. The text provides a systematic review of fundamental and advanced training algorithms, including Gradient Descent, Newton's Method, Levenberg-Marquardt, Recursive Least Squares (RLS), and metaheuristics like Genetic Algorithms and Particle Swarm Optimization. Furthermore, it offers a detailed survey of over 25 major neural network architectures, from foundational Perceptrons and Feedforward Networks to advanced systems like CNNs, RNNs (LSTM, GRU), Autoencoders, GANs, and Deep Belief Networks.Practical, Code-Oriented Learning: Each concept and architecture is accompanied by ready-to-run code examples. This practical focus ensures that you can immediately translate theoretical understanding into functional code, experiment with parameters, and adapt the implementations to your own unique challenges.Real-World Application and Case Studies: The learning is grounded in practicality through diverse case studies across multiple domains. You will find applications in medical diagnostics (e.g., diabetes classification), time-series forecasting (e.g., air quality prediction), system identification, natural language processing, and more. These examples provide complete pipelines from data preprocessing and model training to evaluation and visualization.This Book is Ideal For:University students and researchers in Computer Science, Artificial Intelligence, Engineering, and related fields.R&D engineers and scientists working in algorithm development, data analysis, and intelligent systems.Any practitioner seeking a thorough, hands-on understanding of neural networks with the flexibility to work in both Python and MATLAB environments.In essence, Practical Neural Networks in Python and MATLAB serves as an invaluable companion for anyone looking to deepen their expertise in neural networks. It is more than a textbook; it is a practical toolkit designed to accelerate your research, enhance your projects, and provide a clear, comprehensive reference for the key architectures and algorithms shaping the field of AI today.

This book examines rural-urban migration policies in China, and considers how Chinese workers cope with migration events in the context of these policies. It explores the contribution of migrant workers to the Chinese economy, the impact of changes within the ‘hukou’ system (household registration) and the impact of recent migration policies promoting  rural-urban migration and targeting key events during migrant workers’ migration trajectories - job-seeking, wage exploitation, work injuries and illness - namely the corresponding ‘Skills Training Program for Migrant Workers’,  the ‘Circular on Managing Wage Payment to Migrant Workers’,  the ‘Circular on Migrant Workers Participating in Work-Related Injury Insurance’, and the ‘New Rural Medical Cooperative Scheme’ (Health Insurance). Through in-depth interviews, it examines how when facing such challenges, migrant workers choose to either make a claim under existing policies, or use other coping strategies. The book notably proposes a typology of “coping” which includes a variety of administrative coping, political coping and social coping, and considers how workers in China harness the power of civil groups and social networks.

This book examines rural-urban migration policies in China, and considers how Chinese workers cope with migration events in the context of these policies. It explores the contribution of migrant workers to the Chinese economy, the impact of changes within the ‘hukou’ system (household registration) and the impact of recent migration policies promoting  rural-urban migration and targeting key events during migrant workers’ migration trajectories - job-seeking, wage exploitation, work injuries and illness - namely the corresponding ‘Skills Training Program for Migrant Workers’,  the ‘Circular on Managing Wage Payment to Migrant Workers’,  the ‘Circular on Migrant Workers Participating in Work-Related Injury Insurance’, and the ‘New Rural Medical Cooperative Scheme’ (Health Insurance). Through in-depth interviews, it examines how when facing such challenges, migrant workers choose to either make a claim under existing policies, or use other coping strategies. The book notably proposes a typology of “coping” which includes a variety of administrative coping, political coping and social coping, and considers how workers in China harness the power of civil groups and social networks.