Author: Melody D. Knowles
Publisher: Society of Biblical Lit
ISBN: 1589831756
Category : History
Languages : en
Pages : 192
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Book Description
"At the end of exile, the boundaries of sacred geography were open for renegotiation: YHWH could once again dwell in Jerusalem in a rebuilt temple, and temple centrality could be renewed. Yet how were such abstract theological and geographical commitments enacted? To what extent was the influence of the city felt and practiced in Yehud or far-away Egypt and Babylon? To answer such questions, this volume examines 'centrality' through the practices of animal sacrifice, pilgrimage, tithing, and the use of incense and figurines. Unique in its appraisal of centrality via religious practice and in its integration of the biblical text and archaeological record, [this study] offers a compelling portrait of the variegated centralities of the Jerusalem temple in the Persian period." -- Back cover
Author: Roger Hennessey
Publisher: SAGE
ISBN: 1446209903
Category : Social Science
Languages : en
Pages : 153
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Book Description
"Roger Hennessey has written a wonderfully warm and readable book about the importance of a relationship-based approach to social work practice. It is full of wisdom, humanity, and commonsense. The book is rich with examples and exercises. You know that you are in the hands of an expert whose skill, experience and understanding shine and reassure on every page." Professor David Howe, School of Social work and Psychology, University of East Anglia Human relationships lie at the very heart of social work practice, and an understanding of their importance is a crucial aspect of training. This book considers the place of relationships in current practice and explores the ways in which social workers can use relationship skills to achieve the best possible outcomes for their clients. The book also offers a unique discussion of the social worker′s relationship with him or herself, arguing that self-awareness is as essential to good practice as an emotional understanding of the other. In doing so, the book promotes a new model for relationship-based social work, which emphasises the importance of both the inter- and intrapersonal. Opening with an introduction to the theoretical bases of the relationship-based model, the book then focuses on their direct application to social work practice. Key topics include: -Self-awareness and using oneself -Knowing the other person -Sustaining oneself -The ethics of relationship-based social work -Internalising knowledge, skills and values Using reflective exercises and case studies, the book encourages students to relate the tools they have learnt to practice scenarios from the real world, and is essential reading for all qualifying social work students.
Author: Fuad Aleskerov
Publisher: CRC Press
ISBN: 1000536106
Category : Technology & Engineering
Languages : en
Pages : 114
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Book Description
Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields – financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, and networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.
Author: Ryan Light
Publisher: Oxford University Press
ISBN: 0197520618
Category : Social Science
Languages : en
Pages : 697
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Book Description
While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.
Author: Alex Fornito
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
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Book Description
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Author: Pablo Moscato
Publisher: Springer
ISBN: 3030062228
Category : Computers
Languages : en
Pages : 1000
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Book Description
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Author: Kenneth V. Hardy
Publisher: W. W. Norton & Company
ISBN: 1324016914
Category : Social Science
Languages : en
Pages : 615
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Book Description
A comprehensive collection on the topic of whiteness from writers in the field of mental health and activism. Whiteness is a pervasive ideology that is rarely overtly identified or examined, despite its profound effects on race relationships. Being intentional about naming, deconstructing, and dismantling whiteness is a precursor to responding effectively to the racial reckoning of our society and improving race relationships, addressing systemic bias, and moving towards the creation of a more racially just world. In this collection of essays, scholars from a variety of backgrounds and trainings explore how the longstanding centering of whiteness in all aspects of society, including clinical therapy spaces, has led to widespread racial injustice. Contributors include: David Trimble, Lane Arye, Jodie Kliman, Ken Epstein, Toby Bobes, Cynthia Chestnut, Ovita F. Williams, Gene E. Cash Jr., Carlin Quinn, Christiana Ibilola Awosan, Niki Berkowitz, Jen Leland, Mary Pender Greene, Hinda Winawer, Bonnie Berman Cushing, Michael Boucher, Robin Schlenger, Alana Tappin, Timothy Baima, Jeffery Mangram, Liang-Ying Chou, Irene In Hee Sung, Ana Hernandez, Robin Nuzum, Keith A. Alford, Hugo Kamya, and Cristina Combs.
Author: Tony Evans
Publisher: Moody Publishers
ISBN: 080249692X
Category : Religion
Languages : en
Pages : 119
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Book Description
Concise Wisdom from a Pastoral Veteran The Kingdom Pastor’s Library is a new series that brings you a succinct, complete pastoral philosophy and training from Tony Evans. Our Witness to the World teaches you how to equip every member of your church to go out into their neighborhoods for effective outreach. It also demonstrates how important social impact is for spreading the gospel. Faithful. Powerful. Practical. Become a Kingdom Pastor Today.
Author: Laura Schmalzl
Publisher: Frontiers Media SA
ISBN: 2889198944
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
Languages : en
Pages : 217
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Book Description
Relative to the extensive neuroscientific work on seated meditation practices, far less studies have investigated the neural mechanisms underlying movement-based contemplative practices such as yoga or tai chi. Movement-based practices have, however, been found to be effective for relieving the symptoms of several clinical conditions, and to elicit measurable changes in physiological, neural, and behavioral parameters in healthy individuals. An important challenge for neuroscience is therefore to advance our understanding of the neurophysiological and neurocognitive mechanisms underlying these observed effects, and this Research Topic aims to make a contribution in this regard. It showcases the current state of the art of investigations on movement-based practices including yoga, tai chi, the Feldenkrais Method, as well as dance. Featured contributions include empirical research, proposals of theoretical frameworks, as well as novel perspectives on a variety of issues relevant to the field. This Research Topic is the first of its kind to specifically attempt a neurophysiological and neurocognitive characterization that spans multiple mindful movement approaches, and we trust it will be of interest to basic scientists, clinical researchers, and contemplative practitioners alike.
Author: Mark Needham
Publisher: "O'Reilly Media, Inc."
ISBN: 1492047635
Category : Computers
Languages : en
Pages : 297
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Book Description
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark
