Download Free Social Science 6 Primary Savia Book in PDF and EPUB Free Download. You can read online Social Science 6 Primary Savia and write the review.

Award-winning author Tara L. Kuther presents Lifespan Development in Context, a topically organized version of her bestselling Lifespan Development text that provides a panoramic view of the many influences that shape human development. Kuther’s student-friendly narrative guides the reader through immersive video cases and real-world examples to illustrate how the places, sociocultural environments, and ways in which we are raised influence who we become and how we grow and change throughout our lives. Three core themes resonate throughout each chapter: the centrality of context, the importance of research, and the value of applied developmental science. Foundational theories and classic studies are combined with contemporary research and culturally diverse perspectives for a modern introduction to the field that is both comprehensive and concise. Visual overviews, case studies, and critical thinking questions encourage self-reflection and class discussion, ensuring students have the tools they need to apply course concepts to their lives and future careers.
This is a custom eBook for Grand Canyon University.
Vols. 28-30 accompanied by separately published parts with title: Indices and necrology.
Sixth edition of the hugely successful, internationally recognised textbook on global public health and epidemiology, with 3 volumes comprehensively covering the scope, methods, and practice of the discipline
This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.