Xin Zhao – författare

Theranostic Bionanomaterials is an invaluable study of recent advances and trends in the development and application of functional bionanomaterials for theranostic applications. This book describes the design and characterization of nanomaterials which exhibit distinctive physical, chemical and biological properties and discusses how these functional nanomaterials enable the precise manipulation of architectural, physical and biochemical cell microenvironments in vitro. In addition, it covers how they can act as the carriers of diagnostic or therapeutic agents, thus providing new pathways or strategies for disease diagnosis and treatment. Specific chapters discuss protein delivery, drug delivery, tissue regeneration, bioimaging, biodetection, and much more.

This book will be a critical resource for those involved in cutting-edge research in theranostics bionanomaterial.

This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems. In addition to the basics, the text offers new approaches to understanding biological sequences. The concise presentation distinguishes itself from others on the subject, discussing and providing principles that relate to current open problems in bioinformatics as well as considering a variety of models. The convex hull principle is highlighted, opening a new interdisciplinary research area at the intersection of biology, mathematics, and computer science. Prerequisites include first courses in linear algebra, probability and statistics, and mathematical analysis. Researchers in mathematics, biology, and math-biology, will also find aspects of this text useful.

This textbook is written based on the authors'' research works that have been published in various journals along with the lecture notes used when teaching bioinformatics courses at the University of Illinois at Chicago and at Tsinghua University.  The content may be divided into two parts. The first part includes three chapters, introducing some basic concepts. Chapter 1 provides biological background in molecular biology for mathematicians. Chapter 2 describes biological databases that are commonly used. Chapter 3 is concerned with alignment methods including global/local alignment, heuristic alignment, and multiple alignment. The second part consisting of five chapters, describes several bioinformatics principles using a rigorous mathematical formulation. Chapter 4 introduces the time-frequency spectral principle and its applications in bioinformatics. In Chapters 5 and 6, two strategies are used, the graphical representation and the natural vector method, to represent biological sequences, and conduct sequence comparison and phylogenetic analysis without alignment. Chapter 7 presents the convex hull principle and shows how it can be used to mathematically determine whether a certain amino acid sequence can be a protein. The last chapter summarizes additional mathematical ideas relating to sequence comparisons, such as new feature vectors and metrics. This part focuses on the governing principle in biology and provides plenty of alignment-free methods, which cannot be found in any other book.

This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016.

The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions. The final programme of AIRS 2015 is divided in the following tracks: IR models and theories; machine learning and data mining for IR; IR applications and user modeling; personalization and recommendation; and IR evaluation.

A comprehensive overview of biofabrication techniques for orthopedics and their novel applications

With an ever-increasing global population and the rise in the occurrence of orthopedic diseases amongst an aging population, it is essential for technological advances to meet this growing medical need. Orthopedic biofabrication is a cutting-edge field that seeks to produce novel clinical solutions to this mounting problem, through the incorporation of revolutionary technologies that have the potential to not only transform healthcare, but also provide highly automated and personalized patient solutions. With the advances in the discipline, there is a significant growing interest in biofabrication for orthopedics in research activity geared towards routine clinical use.

Ideal for a broad readership amongst medical practitioners and scientists, Biofabrication for Orthopedics summarizes all aspects of the topic: detailed information on the technology, along with advanced developments, research progress, and future perspectives on biofabrication for orthopaedics—particularly on the potential applications for tissue engineering technologies. In doing so, the book describes the various biomaterials—natural and synthetic—use for orthopedics and discusses the many ways in which these materials can be used in all parts of the body. As such, it offers detailed information on a wide range of applications in the fields of biology and clinical and industrial manufacturing.

Biofabrication for Orthopedics readers will also find:

Biofabrication for Orthopedics is a useful reference for those in a variety of research fields like medical-related practitioners and scientists, materials science, medicine, and manufacturing, as well as the libraries who support them.

A comprehensive overview of biofabrication techniques for orthopedics and their novel applications

With an ever-increasing global population and the rise in the occurrence of orthopedic diseases amongst an aging population, it is essential for technological advances to meet this growing medical need. Orthopedic biofabrication is a cutting-edge field that seeks to produce novel clinical solutions to this mounting problem, through the incorporation of revolutionary technologies that have the potential to not only transform healthcare, but also provide highly automated and personalized patient solutions. With the advances in the discipline, there is a significant growing interest in biofabrication for orthopedics in research activity geared towards routine clinical use.

Ideal for a broad readership amongst medical practitioners and scientists, Biofabrication for Orthopedics summarizes all aspects of the topic: detailed information on the technology, along with advanced developments, research progress, and future perspectives on biofabrication for orthopaedics—particularly on the potential applications for tissue engineering technologies. In doing so, the book describes the various biomaterials—natural and synthetic—use for orthopedics and discusses the many ways in which these materials can be used in all parts of the body. As such, it offers detailed information on a wide range of applications in the fields of biology and clinical and industrial manufacturing.

Biofabrication for Orthopedics readers will also find:

Biofabrication for Orthopedics is a useful reference for those in a variety of research fields like medical-related practitioners and scientists, materials science, medicine, and manufacturing, as well as the libraries who support them.

"Distribution and Transformation of Nutrients and Eutrophication in Large-scale Lakes and Reservoirs: The Three Gorges Reservoir" presents key findings on early eutrophication in large-scale lakes and reservoirs, providing readers with an overview of lake management problems and the tools that can be applied to solve them. The broad spectrum of available tools is presented in detail, including environmental technological methods, ecotechnological methods and the application of models to determine the best management strategy.

The book is intended for environmental engineers and researchers in the fields of environmental science and ecological chemistry.

Professor Zhenyao Shen, Professor Junfeng Niu and Associate Professor Ying Wang work at the School of Environment, Beijing Normal University, China. Dr. Hongyuan Wang works at Chinese Academy of Agricultural Sciences, China. Dr. Xin Zhao works at Changjiang River Scientific Research Institute, China.

This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by deep learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research.

Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. The book is organized into five parts, tracing the evolution of VOT from perceptual to cognitive intelligence, exploring the experimental frameworks utilized in assessments, analyzing the various agents involved, including tracking algorithms and human visual tracking, and dissecting evaluation mechanisms through both machine–machine and human–machine comparisons. Furthermore, it examines the trend toward crafting more human-like task definitions and comprehensive evaluation frameworks to effectively gauge machine intelligence.

This book serves as a roadmap for researchers aiming to grasp the bottlenecks in VOT capabilities and comprehend the gaps between current methodologies and human abilities, all geared toward advancing algorithmic intelligence. It also delves into the realm of data-centric AI, emphasizing the pivotal role of high-quality datasets and evaluation systems in the age of large language models (LLMs). Such systems are indispensable for training AI models while ensuring their safety and reliability. Utilizing VOT as a case study, the book offers detailed insights into these facets of data-centric AI research. Designed to cater to readers with foundational knowledge in computer vision, it employs diagrams and examples to facilitate comprehension, providing essential groundwork for understanding key technical components.