This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

This detailed volume aims to introduce nanomaterials as a new therapeutic regimen in treating human diseases. Divided into four sections, it explores inorganic nanomaterials, organic nanomaterials, pharmaceutical properties of nanomaterials, and applications of nanomaterials in medicine. Several examples of inorganic and organic nanomaterials are provided to demonstrate how to design and develop nanomaterials for pharmacological purposes. The key pharmaceutical properties, including biocompatibility, tissue interaction, pharmaceutics, and pharmacokinetics of nanomaterials are discussed with a focus on the safety and pharmaceutical considerations of nanomaterials in translational development. The pharmacological applications of nanomaterials are depicted in treating various human diseases, including cancer, cardiovascular diseases, immune disorders, infectious diseases, gastrointestinal disorders, bone diseases, respiratory disorders, and drug delivery. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of specifics and practical advice that ensures a smooth transition into the lab. Authoritative and enlightening, Nanomaterials in Pharmacology serves as an ideal guide to researchers investigating the potential benefits and risks of nanomaterials in pharmacology in order to avoid the pitfalls and to maximize the potential of this vital field of study.

Social Perspective is a course set over one academic year for intermediate learners of Chinese. In two volumes, it focuses on developing learners' language competency to a high advanced plus/advanced level (ACTFL/CEFR B2-C1) through exploring social issues in contemporary China. The textbook draws upon the discussion of a wide range of current social issues in China to provide students with a real-life background to increase their debating and written skills. Volume I explores five topics: gender equality, e-commerce, Internet culture, food and health, and environmental protection. The textbook is written in fluent, accurate and high-quality Chinese language which is conveniently broken down to highlight all the important language elements (expressions, vocabulary, phrases and grammar). This course will equip students with language production capability at an advanced level and prepare students for the transition from academic study to employment. Each lesson includes a wide range of language drills and exercises designed to quickly improve learners' oral expression and conceptual understanding through group discussions, essays, presentations, bidirectional translation and critical reflection. Online resources such as audio recordings, dictation exercises and supplementary reading material are also included. Written by a team of highly experienced teachers, Social Perspective is the ideal course to progress intermediate students to an advanced level. Academics and researchers with an interest in Chinese contemporary social issues will also find this a useful tool for further language study.

Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.

* highlights important language elements by utilising original and recent Chinese texts regarding social issues * Designed to progress learners' language competency to an advanced level through a natural connection between Chinese language learning and Chinese Social Studies. * Facilitates language learning and provides important insight for the formation of cross-cultural relationships. * Prepares readers for the transition from academic study to employment. * Written by a team of native and non-native speakers.

* highlights important language elements by utilising original and recent Chinese texts regarding social issues * Designed to progress learners' language competency to an advanced level through a natural connection between Chinese language learning and Chinese Social Studies. * Facilitates language learning and provides important insight for the formation of cross-cultural relationships. * Prepares readers for the transition from academic study to employment. * Written by a team of native and non-native speakers.

Social Perspective is a course set over one academic year for intermediate learners of Chinese. In two volumes, it focuses on developing learners' language competency to a high advanced plus/advanced level (ACTFL/CEFR B2-C1) through exploring social issues in contemporary China. The textbook draws upon the discussion of a wide range of current social issues in China to provide students with a real-life background to increase their debating and written skills. Volume I explores five topics: gender equality, e-commerce, Internet culture, food and health, and environmental protection. The textbook is written in fluent, accurate and high-quality Chinese language which is conveniently broken down to highlight all the important language elements (expressions, vocabulary, phrases and grammar). This course will equip students with language production capability at an advanced level and prepare students for the transition from academic study to employment. Each lesson includes a wide range of language drills and exercises designed to quickly improve learners' oral expression and conceptual understanding through group discussions, essays, presentations, bidirectional translation and critical reflection. Online resources such as audio recordings, dictation exercises and supplementary reading material are also included. Written by a team of highly experienced teachers, Social Perspective is the ideal course to progress intermediate students to an advanced level. Academics and researchers with an interest in Chinese contemporary social issues will also find this a useful tool for further language study.

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.

This detailed volume aims to introduce nanomaterials as a new therapeutic regimen in treating human diseases. Divided into four sections, it explores inorganic nanomaterials, organic nanomaterials, pharmaceutical properties of nanomaterials, and applications of nanomaterials in medicine. Several examples of inorganic and organic nanomaterials are provided to demonstrate how to design and develop nanomaterials for pharmacological purposes. The key pharmaceutical properties, including biocompatibility, tissue interaction, pharmaceutics, and pharmacokinetics of nanomaterials are discussed with a focus on the safety and pharmaceutical considerations of nanomaterials in translational development. The pharmacological applications of nanomaterials are depicted in treating various human diseases, including cancer, cardiovascular diseases, immune disorders, infectious diseases, gastrointestinal disorders, bone diseases, respiratory disorders, and drug delivery. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of specifics and practical advice that ensures a smooth transition into the lab. Authoritative and enlightening, Nanomaterials in Pharmacology serves as an ideal guide to researchers investigating the potential benefits and risks of nanomaterials in pharmacology in order to avoid the pitfalls and to maximize the potential of this vital field of study.

This book collects and reports on the results of a study conducted on the Chinese Software and Services Outsourcing (SSO) industry, focusing on one of its main players as a key case study. Two sets of research findings are presented: first, the knowledge management and communication processes inherent within a highly collaborative software development project between the case study company and one of its long-term UK clients are explored and distilled into specific practices; second, at the organizational level, the strategies used by the company to build and exploit capabilities and to dynamically configure resources to promote specific value positions along its outsourced services value networks are identified and discussed. The significance of these findings for similar China-based global high-tech firms and the value of this organizational form in moving closer to the goals of the 2020 enterprise vision are both discussed, along with the implications of the findings for EU/UK businesses operating in similar digital domains.