Community economic development (CED) is an increasingly essential factor in the revitalization of low- to moderate-income communities. This cutting-edge text explores the intersection of CED and social work practice, which both focus on the well-being of indigent communities and the empowerment of individuals and the communities in which they live. This unique textbook emphasizes a holistic approach to community building that combines business and real-estate development with a focus on stimulating family self-reliance and community empowerment. The result is an innovative approach to rehabilitating communities in decline while preserving resident demographics. The authors delve deep into the social, political, human, and financial capital involved in effecting change and how race and regional issues can complicate approaches and outcomes. Throughout, they integrate case examples to illustrate their strategies and conclude with a consideration of the critical role social workers can play in developing CED's next phase.
This book contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modeling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together for the first time in one volume. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the book is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. Contents: Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm; Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication; Mapping Sequence to Rice FPC; Graph Theoretic Sequence Clustering Algorithms and their Applications to Genome Comparison; The Protein Information Resource for Functional Genomics and Proteomics; High-Grade Ore for Data Mining in 3D Structures; Protein Classification: A Geometric Hashing Approach; Interrelated Clustering: An Approach for Gene Expression Data Analysis; Creating Metabolic Network Models Using Text Mining and Expert Knowledge; Phyloinformatics and Tree Networks. Readership: Molecular biologists who rely on computers and mathematical scientists with interests in biology.
Offering today's most authoritative, comprehensive coverage of sleep disorders, Kryger's Principles and Practice of Sleep Medicine, 7th Edition, is a must-have resource for sleep medicine specialists, fellows, trainees, and technicians, as well as pulmonologists, neurologists, and other clinicians who see patients with sleep-related issues. It provides a solid understanding of underlying basic science as well as complete coverage of emerging advances in management and treatment for a widely diverse patient population. Evidence-based content, hundreds of full-color illustrations, and a wealth of additional resources online help you make well-informed clinical decisions and offer your patients the best possible care. - Contains new chapters on sleep in intersex and transgender individuals; sleep telemedicine and remote PAP adherence monitoring; and sleep and the menstrual cycle, as well as increased coverage of treatment and management of pediatric patients. - Includes expanded sections on pharmacology, sleep in individuals with other medical disorders, and methodology. - Discusses updated treatments for sleep apnea and advancements in CPAP therapy. - Offers access to 95 video clips online, including expert interviews and sleep study footage of various sleep disorders. - Meets the needs of practicing clinicians as well as those preparing for the sleep medicine fellowship examination or recertification exams, with more than 950 self-assessment questions, answers, and rationales online. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
Today's tech-savvy and digitally connected students present a new challenge for today's school librarians. This book offers the 21st-century tools and know-how necessary for educators to appeal to and challenge students to learn—and to want to learn. What are the best ways to motivate students to become engaged and develop a passion for learning? Can appealing to their desire for socialization and constant communication—attributes of their lives outside of education—via the integration of cutting-edge technologies and "new media" in the library or classroom serve to ignite creativity, curiosity, and critical thinking? This book shows how you can make use of non-traditional tools such as popular social networks, collaborative technologies, and cloud computing to teach information and communications technologies integrated with the school curriculum to improve student learning—and demonstrates how these same technologies can help you measure skills and mastery learning. The book provides an easy-to-follow blueprint for using collaborative techniques, innovation, and teaching for creativity to achieve the new learning paradigm of self-directed learning, such as flipping the classroom or library. Readers of this book will find concrete, step-by-step examples of proven lesson plans, collaborative models, and time-saving strategies for the successful integration of American Association of School Librarians (AASL) standards. The authors—both award-winning teachers—explain the quantitatively and qualitatively measurable educational value of using these technologies for core curricular and information and communications technologies instruction, showing that they both enhance student learning outcomes and provide data for measuring their impact on learning.
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
Cathy L. Seeley, former president of the National Council of Teachers of Mathematics, turns the spotlight on administrative leaders who are seeking to improve their math programs, offering an overview of what an effective program looks like and examples of actions to take to achieve that goal. Building a Math-Positive Culture addresses the following topics: * The three components necessary for a successful math program. * How to recognize, support, and evaluate effective teachers. * Steps to take to move from grand ideas to concrete results. * How to approach obstacles to achieving your goal. Along with the companion book for teachers Making Sense of Math, this book is an essential tool for leaders facing the critical task of revising their math program to develop flexible mathematical thinkers able to meet the demands of the 21st century.
Community economic development (CED) is an increasingly essential factor in the revitalization of low- to moderate-income communities. This cutting-edge text explores the intersection of CED and social work practice, which both focus on the well-being of indigent communities and the empowerment of individuals and the communities in which they live. This unique textbook emphasizes a holistic approach to community building that combines business and real-estate development with a focus on stimulating family self-reliance and community empowerment. The result is an innovative approach to rehabilitating communities in decline while preserving resident demographics. The authors delve deep into the social, political, human, and financial capital involved in effecting change and how race and regional issues can complicate approaches and outcomes. Throughout, they integrate case examples to illustrate their strategies and conclude with a consideration of the critical role social workers can play in developing CED's next phase.
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