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Elsevier

Books in Social sciences and humanities

  • Encyclopedia of Child and Adolescent Health

    • 1st Edition
    • Bonnie Halpern-Felsher
    • English
    **Association of American Publishers (AAP) PROSE Award Winner in Clinical Medicine, 2024 and Reference Works & Textbooks Multivolume, 2024**Informed by the Biopsychosocial Model, this Encyclopedia of Child and Adolescent Health examines multiple aspects of child and adolescent development and physical and mental health. According to the Biopsychosocial Model, health is determined by the reciprocal interactions between biological (e.g., genetics, physical development, family health history), psychological (e.g., mental health, identity developmental, attitudes), and social (e.g., family, peers, school, social supports) factors. This theory posits that each one of these factors alone is not sufficient to understand health; instead, it is important to understand how these interactive components ultimately influence health outcomes.In addition to the Biopsychosocial Model, this Encyclopedia of Child and Adolescent Health has a translational approach. Each section and all applicable entries include a discussion of prevention or intervention efforts that can inform health and health promotion, and prevent health risks.

  • Benchmarking Library, Information and Education Services

    New Strategic Choices in Challenging Times
    • 1st Edition
    • David Baker + 3 more
    • English
    Benchmarking Library, Information and Education Services: New Strategic Choices in Challenging Times provides the foundations of ongoing research in the development of collections and services. The book contributes to practical outputs of general benefit to the sector, including customers, clients or stakeholders, offering ideas for how to identify comparative strengths and weaknesses and improve or enhance present practices regardless of how well institutions currently perform. The centerpiece of the book is a description, report and analysis of a major international QB exercise that culminates in a set of good practice statements. The benefits of the QB methodology are applicable to individual institutions. Because of the current global turbulence, individuals, leaders and whole institutions are keen to learn more about what is happening and how they can develop sustainable solutions to both immediate challenges and longer-term scenarios. These include an analysis of third sector organizations, e-libraries, marketing information services, vocational training in higher education, the creative arts, and the role of partnerships in organizational openness.

  • Building Energy Flexibility and Demand Management

    • 1st Edition
    • Zhenjun Ma + 2 more
    • English
    Building Energy Flexibility and Demand Management looks at the high penetration of intermittent renewable energy sources and the need for increased flexibility. Ensuring electrical power systems adapt to dynamic energy demand and supply conditions, the book supports the transition to a renewable energy future with current fluctuating power generation. By facilitating the penetration of renewable energy sources into the building sector and balancing electricity supply with demand in real-time, this book will provide fundamental concepts, theories, and methods to understand, quantify, design and optimize building energy flexibility. In addition, the book also provides case studies with emerging technologies to enhance building energy flexibility and demonstrate how demand management strategies can utilize energy flexibility for demand reduction and load shifting. It will be useful for all those researchers and engineers working in flexible energy systems and advanced demand side management strategies.

  • Smart Urban Mobility

    Transport Planning in the Age of Big Data and Digital Twins
    • 1st Edition
    • Ivana Cavar Semanjski
    • English
    Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment.

  • Making a Collection Count

    A Holistic Approach to Library Collection Management
    • 3rd Edition
    • Holly Hibner + 1 more
    • English
    Making a Collection Count, A Holistic Approach to Library Collection Management, Third Edition is unique in its focus on collection quality, including topics on making the most of a library collection budget, performing physical inventory, and gathering/using data and statistics about collection use. Beyond collection development, this title looks at the entire lifecycle of the collection and those with responsibilities at each step.

  • Handbook of Mobility Data Mining, Volume 2

    Mobility Analytics and Prediction
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.

  • Handbook of Mobility Data Mining, Volume 3

    Mobility Data-Driven Applications
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality.

  • Handbook of Mobility Data Mining, Volume 1

    Data Preprocessing and Visualization
    • 1st Edition
    • Haoran Zhang
    • English
    Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.

  • The New Public Health

    • 4th Edition
    • Theodore H. Tulchinsky + 2 more
    • English
    **Selected for Doody’s Core Titles® 2024 in Public Health**The New Public Health has established itself as a solid textbook throughout the world. Translated into seven languages, this work distinguishes itself from other public health textbooks, which are either highly locally oriented or, if international, lack the specificity of local issues relevant to students' understanding of applied public health in their own setting.Fully revised, the Fourth Edition of The New Public Health provides a unified approach to public health appropriate for graduate students and advance undergraduate students especially for courses in MPH, community health, preventive medicine, community health education programs, community health nursing programs. It is also a valuable resource for health professionals requiring an overview of public health.

  • Handbook of the Economics of Education

    • 1st Edition
    • Volume 6
    • English
    The Handbook of the Economics of Education describes the research frontier in key topical areas and sets the agenda for further work. Modern analysis in the economics of education has made tremendous strides in understanding fundamental issues related to the production of human capital and the impact of varying institutional features of education systems. By bringing together some of the world’s leading scholars, this volume provides a unique view of scholarship in the area. The international perspectives of the editors – Hanushek at Stanford, Machin at LSE, and Woessmann at Munich – leads to a volume with something for all researchers. Topics range from the economics of early childhood education to inequality in society to cash transfers in developing countries.

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