Implementing General Belief Function Framework With A Practical Codi Cation For Low Complexity

Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children.

The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use

The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.

ICF Research Branch in cooperation with the WHO Collaborating Centre for the Family of International Classifications in Germany (at DIMDI) Practical, standardized tools to assess and document functioning, disability, and health according to the WHO ICF in a variety of health conditions and settings The WHO's International Classification of Functioning, Disability and Health (ICF) is the accepted common framework for understanding and documenting functioning and disability. The ICF Core Sets selected for this book have now been developed to facilitate the standardized use of the ICF in real-life clinical practice and thus improve quality of care. By using this collection of clear checklists, definitions, and forms, clinicians will quickly and easily be able to assess clients with a range of typical health conditions at different stages and in a variety of health care contexts. This manual: * Introduces the concepts of functioning and disability * Describes how and why the ICF Core Sets have been developed * Shows, step-by-step, how to apply the ICF Core Sets in clinical practice * Includes all 31 ICF Core Sets plus documentation forms (more than 1,400 pages of printable PDFs) on a CD-ROM. This manual is inherently multi-professional and will be of benefit not only for practitioners working in various health care contexts but also for students and teachers.

Social justice is a matter of life and death. It affects the way people live, their consequent chance of illness, and their risk of premature death. We watch in wonder as life expectancy and good health continue to increase in parts of the world and in alarm as they fail to improve in others.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Uniquely organized to help readers find and select the best frameworks for their needs This resource illuminates the daunting task of understanding and applying philosophies, models, theories, and taxonomies in nursing practice and research at the masters or doctoral level. Distinguished by a unique organizational structure, the text is divided into two broad areas of practice/focus; individuals and families (Part II) and communities, populations, and systems (Part III). The frameworks in each area are organized conceptually into 17 chapters, many of which are interdisciplinary, thus not commonly found in nursing theory texts. This unique organizational structure enables readers to acquire both a broad overview of frameworks useful in nursing practice and research, and to focus on frameworks relevant to specific practice areas and concepts of interest. Frameworks for Advanced Nursing Practice and Research also provides foundational knowledge to enhance the nurse’s understanding and appreciation of frameworks used in practice and research (Part 1). Application is woven throughout the text and culminates with chapters devoted to the application of frameworks for nurse educators, clinicians, leaders, and researchers. Learner-focused features of the text include application boxes highlighting published studies that have employed selected frameworks, thereby bringing theoretical content into practice. Each chapter also includes objectives, key terms, and a bulleted summary to enhance the learning experience. Key Features: Describes a broad spectrum of philosophies, models, theories, and taxonomies underpinning graduate-level nursing roles Uniquely organized by conceptual areas, thereby integrating nursing and non-nursing frameworks Facilitates easy comparison of frameworks within each conceptual area Delivers strategies for using theory and discusses integration of theory, research, and practice Includes application boxes highlighting published studies, objectives, key terms, and bulleted chapter summary.