Overweight students often suffer negative consequences with regard to low physical ability, skills, and fitness; obesity-related health implications; teasing and exclusion from physical education by their peers; and psychosocial and emotional suffering as a result of weight stigma. Widespread obesity and its negative consequences have presented an unprecedented challenge for teachers, who must include overweight students in physical education activities while striving to provide individualized instruction for diverse learners and foster positive learning environments. Educators stand to benefit greatly from specific knowledge and skills for reducing bias and including overweight students. Teaching Overweight Students in Physical Education offers a compact and easy-to-read take on this problem. It begins by summarizing information on the obesity trend, weight stigma, and coping mechanisms. Next, it introduces the Social Ecological Constraint Model, which casts the teacher as an agent of change who is aware of and manipulates a variety of factors from multiple levels for effective inclusion of overweight students in physical education. Finally, it provides detailed strategies guided by the conceptual model for instructors to implement into their physical education classes. In all, this book provides a map for successfully including overweight students and offers practical strategies to help physical education teachers create inclusive and safe climates, and design differentiated instruction to maximize overweight or obese students' engagement and learning. Comprehensive, evidence-based, and timely, this book is tailored for physical education educators and practitioners, but will also benefit parents of overweight children by providing them with strategies for educating their children on how to cope with stigma and weight-related teasing.

Overweight students often suffer negative consequences with regard to low physical ability, skills, and fitness; obesity-related health implications; teasing and exclusion from physical education by their peers; and psychosocial and emotional suffering as a result of weight stigma. Widespread obesity and its negative consequences have presented an unprecedented challenge for teachers, who must include overweight students in physical education activities while striving to provide individualized instruction for diverse learners and foster positive learning environments. Educators stand to benefit greatly from specific knowledge and skills for reducing bias and including overweight students. Teaching Overweight Students in Physical Education offers a compact and easy-to-read take on this problem. It begins by summarizing information on the obesity trend, weight stigma, and coping mechanisms. Next, it introduces the Social Ecological Constraint Model, which casts the teacher as an agent of change who is aware of and manipulates a variety of factors from multiple levels for effective inclusion of overweight students in physical education. Finally, it provides detailed strategies guided by the conceptual model for instructors to implement into their physical education classes. In all, this book provides a map for successfully including overweight students and offers practical strategies to help physical education teachers create inclusive and safe climates, and design differentiated instruction to maximize overweight or obese students' engagement and learning. Comprehensive, evidence-based, and timely, this book is tailored for physical education educators and practitioners, but will also benefit parents of overweight children by providing them with strategies for educating their children on how to cope with stigma and weight-related teasing.

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

This book reports on the latest research and applications in the fields of sustainable manufacturing and remanufacturing, as well as process planning and optimization technologies. It introduces innovative algorithms, methodologies, industrial case studies and applications. It focuses on two topics: sustainable manufacturing for machining technologies and remanufacturing of waste electronic equipment, and various methods are covered for each one, including macro process planning, dynamic scheduling, selective disassembly planning and cloud-based disassembly planning. The experimental analysis provided for every method explains the benefits, as well as how they are sustainable for various real-world applications. Further, a theoretical analysis and algorithm design is presented for each, accompanied by the contributors' relevant research, including: * step-by-step guides; * application scenarios; * relevant literature surveys; * implementation details and case studies; and * critical reviews on the relevant technologies. This book is a valuable resource for researchers in sustainable manufacturing, remanufacturing and product lifecycle management communities, as well as practicing engineers and decision-makers in industry and all those interested in sustainable product development. It is also useful reading material for postgraduates and academics wanting to conduct relevant research, and a reference resource for manufacturing engineers developing innovative tools and methodologies.

This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL and GeoSPARQL and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.

This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL and GeoSPARQL and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.

Global networks, which are the primary pillars of the modern manufacturing industry and supply chains, can only cope with the new challenges, requirements and demands when supported by new computing and Internet-based technologies. Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing introduces a new paradigm for scalable service-oriented sustainable and globally distributed manufacturing systems. The eleven chapters in this book provide an updated overview of the latest technological development and applications in relevant research areas. Following an introduction to the essential features of Cloud Computing, chapters cover a range of methods and applications such as the factors that actually affect adoption of the Cloud Computing technology in manufacturing companies and new geometrical simplification method to stream 3-Dimensional design and manufacturing data via the Internet. This is further supported case studies and real life data for Waste Electrical and Electronic Equipment (WEEE) remanufacturing. This compilation of up to date research and literature can be used as a textbook or reference for mechanical, manufacturing, and computer engineering graduate students and researchers for efficient utilization, deployment and development of distributed and Cloud manufacturing systems, services and applications.

Global networks, which are the primary pillars of the modern manufacturing industry and supply chains, can only cope with the new challenges, requirements and demands when supported by new computing and Internet-based technologies. Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing introduces a new paradigm for scalable service-oriented sustainable and globally distributed manufacturing systems. The eleven chapters in this book provide an updated overview of the latest technological development and applications in relevant research areas. Following an introduction to the essential features of Cloud Computing, chapters cover a range of methods and applications such as the factors that actually affect adoption of the Cloud Computing technology in manufacturing companies and new geometrical simplification method to stream 3-Dimensional design and manufacturing data via the Internet. This is further supported case studies and real life data for Waste Electrical and Electronic Equipment (WEEE) remanufacturing. This compilation of up to date research and literature can be used as a textbook or reference for mechanical, manufacturing, and computer engineering graduate students and researchers for efficient utilization, deployment and development of distributed and Cloud manufacturing systems, services and applications.

Collaborative Product Design and Manufacturing Methodologies and Applications introduces a wide spectrum of collaborative engineering issues in design and manufacturing. It offers state-of-the-art chapters written by international experts from academia and industry, and reflects the most up-to-date R & D work and applications, especially those from the last three to five years. The book will serve as an essential reference for academics, upper-level undergraduate and graduate students and practicing professionals.

This book presents cutting-edge multidisciplinary work on the characterization of ancient materials; the technologies of selection, production and usage by which materials are transformed into objects and artifacts; the science underlying their deterioration, preservation and conservation; and sociocultural interpretation derived from an empirical methodology of observation, measurement and experimentation. Of particular interest are contributions which explore the interface and overlap among traditional materials science, the history of technology and the archaeological and conservation sciences, or that investigate new methods and applications of materials science in art and archaeology. Topics include: analytical chemistry and spectroscopy; ancient and historical metallurgy; natural and artificial glass; characterization, sources and production of ceramics; organic materials technologies; architectural conservation and materials characterization; conservation of archaeological and historical materials; and other studies of ceramics and metals.

This book reports on the latest research and applications in the fields of sustainable manufacturing and remanufacturing, as well as process planning and optimization technologies. It introduces innovative algorithms, methodologies, industrial case studies and applications. It focuses on two topics: sustainable manufacturing for machining technologies and remanufacturing of waste electronic equipment, and various methods are covered for each one, including macro process planning, dynamic scheduling, selective disassembly planning and cloud-based disassembly planning. The experimental analysis provided for every method explains the benefits, as well as how they are sustainable for various real-world applications. Further, a theoretical analysis and algorithm design is presented for each, accompanied by the contributors' relevant research, including: * step-by-step guides; * application scenarios; * relevant literature surveys; * implementation details and case studies; and * critical reviews on the relevant technologies. This book is a valuable resource for researchers in sustainable manufacturing, remanufacturing and product lifecycle management communities, as well as practicing engineers and decision-makers in industry and all those interested in sustainable product development. It is also useful reading material for postgraduates and academics wanting to conduct relevant research, and a reference resource for manufacturing engineers developing innovative tools and methodologies.

Collaborative Product Design and Manufacturing Methodologies and Applications introduces a wide spectrum of collaborative engineering issues in design and manufacturing. It offers state-of-the-art chapters written by international experts from academia and industry, and reflects the most up-to-date R & D work and applications, especially those from the last three to five years. The book will serve as an essential reference for academics, upper-level undergraduate and graduate students and practicing professionals.

Due to their one-dimensional structures and novel physical properties, nanofibrous materials have been extensively investigated and hold promising applications in various fields, including electronic, optical, semiconductors, sensors, polymer fillers and non-woven porous membranes. This book presents current research in the study of the synthesis, properties and application of nanofibres. Topics include the functionalisation and activation of carbon nanofibres; fabrication of aligned polymer and metal oxide nanofibres by electrospinning; inorganic nanofibres for novel separation membranes; the physics behind the vapor-liquid-solid route and carbon nanofibre formation; preparation and modification of chitin nanofibres; and the synthesis of composite carbon nanofibres with macroscopic shaping.