Mei Liu – författare

Biology and Pathology of Nerve Growth discusses the biochemical basis of cell interaction involved in nerve growth, regeneration, and diseases. This book contains six chapters that focus on neuron-glia interaction. After briefly dealing with the embryological development, this book goes on examining the process of neuronal maturation, myelination, and integration with target tissues. These topics are followed by discussions on the controversial issues of guidance and the nature of the factors that determine the matching of nerve with muscle from morphological and biochemical points of view. The subsequent chapters consider the principle of regeneration as seen in lower animals. Other chapters highlight the issue of reaction to injury. This book further demonstrates the interrelatedness of neural organization and reaction to injury at the cellular and molecular levels. This interrelationship operates on the same biophysical principles across all kinds of animal and plant species. This work is of great value to neurobiologists, developmental biologists, and pathologists.

Beam to Square Steel Tube Endplate Connection Using Thread-fixed One-side Bolts: Analysis and Design provides research information on thread-fixed one-side bolt (TOB), which is anchored through screwed threads in the bolt hole. Although beam-column endplate connections have been studied by many researchers and been widely used in engineering applications, the standard high strength bolts are not convenient for the bolted beam to square tube column endplate connection. The one-side bolts, which can be installed and tightened from outside of the tube column, provide a solution for beam to closed section column bolted connections.This book introduces the basic principles and design methods regarding the failure modes, and the design method of load carrying capacity of endplate connection using thread-fixed one-side bolts.

Presents the first book on thread-fixed one-side bolts bolted beam to square tube column endplate connectionProvides both experimental and theoretical analysis results on thread-fixed one-side bolts and bolted beam to square tube column endplate connectionsCovers a new method for connecting the connection with closed-section components, which is of considerable engineering importance

Beam to Square Steel Tube Endplate Connection Using Thread-fixed One-side Bolts: Analysis and Design provides research information on thread-fixed one-side bolt (TOB), which is anchored through screwed threads in the bolt hole. Although beam-column endplate connections have been studied by many researchers and been widely used in engineering applications, the standard high strength bolts are not convenient for the bolted beam to square tube column endplate connection. The one-side bolts, which can be installed and tightened from outside of the tube column, provide a solution for beam to closed section column bolted connections.This book introduces the basic principles and design methods regarding the failure modes, and the design method of load carrying capacity of endplate connection using thread-fixed one-side bolts.- Presents the first book on thread-fixed one-side bolts bolted beam to square tube column endplate connection- Provides both experimental and theoretical analysis results on thread-fixed one-side bolts and bolted beam to square tube column endplate connections- Covers a new method for connecting the connection with closed-section components, which is of considerable engineering importance

This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators. Specifically, it presents a series of advanced DNNs, including noise-rejection DNNs, fuzzy-parameter DNNs, and so on, which are designed to optimize performance while ensuring robustness and computational efficiency. Based on the presented DNNs, this book further constructs a series of motion control schemes for redundant manipulators to address some key challenges such as cyclic motion, position and orientation tracking, and model-unknown scenarios. Each method is rigorously demonstrated for the convergence, and its effectiveness is validated through simulations and physical experiments. By integrating computational intelligence with control theory, this book provides a comprehensive framework for solving time-varying and noise-perturbed problems in robotics, making it a valuable resource for researchers and practitioners in the field.

This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators. Specifically, it presents a series of advanced DNNs, including noise-rejection DNNs, fuzzy-parameter DNNs, and so on, which are designed to optimize performance while ensuring robustness and computational efficiency. Based on the presented DNNs, this book further constructs a series of motion control schemes for redundant manipulators to address some key challenges such as cyclic motion, position and orientation tracking, and model-unknown scenarios. Each method is rigorously demonstrated for the convergence, and its effectiveness is validated through simulations and physical experiments. By integrating computational intelligence with control theory, this book provides a comprehensive framework for solving time-varying and noise-perturbed problems in robotics, making it a valuable resource for researchers and practitioners in the field.