springer new york mrz 2009 (5 results)

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The term scienti c inquiry as manifest in different educational settings covers a wide range of diverse activities. The differences in types of scienti c inquiry can be organized along a continuum according to the degree of teacher control and intellectual sophistication involved in each type of inquiry. Types of scienti c inquiry can also be de ned according to whether they produce cultural knowledge or personal knowledge. Authentic scienti c inquiry is de ned according to ve characteristics: devel- ment of personal and cultural knowledge; contextualized scienti c knowledge; the progression toward high-order problem solving; social interaction for s- enti c goals; and scienti c inquiry as a multi-stage and multi-representational process. The de nition of scienti c inquiry that forms the basis for the development of an assessment program consists of a two-part analytical frame: the de nition of knowledge types relevant to scienti c inquiry and the de nition of an organi- tional frame for these knowledge types. Four types of knowledge are signi cant for the de nition of a speci c s- enti c inquiry program: cognitive knowledge, physical knowledge, represen- tional knowledge, and presentational knowledge. All four of these knowledge types are considered signi cant. These four types of knowledge are organized in a framework that consists of two intersecting axes: the axis of knowledge types and the axis of stages of a s- ci c scienti c inquiry. This framework describes scienti c inquiry as multi-stage process that involves the development of a series of in-lab outcomes (represen- tions) over an extended period of time. 156 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Chemical sensors are in high demand for applications as varied as water pollution detection, medical diagnostics, and battlefield air analysis. Designing the next generation of sensors requires an interdisciplinary approach. The book provides a critical analysis of new opportunities in sensor materials research that have been opened up with the use of combinatorial and high-throughput technologies, with emphasis on experimental techniques. For a view of component selection with a more computational perspective, readers may refer to the complementary volume of Integrated Analytical Systems edited by M. Ryan et al., entitled 'Computational Methods for Sensor Material Selection'. 516 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, we document and evaluate the recovery of gray wolves (Canis lupus) in the Great Lakes region of the United States. The Great Lakes region is unique in that it was the only portion of the lower 48 states where wolves were never c- pletely extirpated. This region also contains the area where many of the first m- ern concepts of wolf conservation and research where developed. Early proponents of wolf conservation such as Aldo Leopold, Sigurd Olson, and Durward Allen lived and worked in the region. The longest ongoing research on wolf-prey relations (see Vucetich and Peterson, Chap. 3) and the first use of radio telemetry for studying wolves (see Mech, Chap. 2) occurred in the Great Lakes region. The Great Lakes region is the first place in the United States where 'Endangered' wolf populations recovered. All three states (Minnesota, Wisconsin, and Michigan) developed ecologically and socially sound wolf conservation plans, and the federal government delisted the population of wolves in these states from the United States list of endangered and threatened species on March 12, 2007 (see Refsnider, Chap. 21). Wolf management reverted to the individual states at that time. Although this delisting has since been challenged, we believe that biological recovery of wolves has occurred and anticipate the delisting will be restored. This will be the first case of wolf conservation reverting from the federal government to the state conser- tion agencies in the United States. 380 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cancer survivors are returning to the workplace in higher numbers than ever before. This is a positive outcome of the 'war on cancer', however, many of these cancer survivors face the possibility of illness- or treatment-related complications; employer discrimination or harassment; and other serious concerns. Cancer Survivorship and Work reviews many of the issues relevant to cancer survivors in the workplace from the survivors', employers', and global perspectives. This interdisciplinary and international volume brings together experts in fields as varied as epidemiology, economics, rehabilitation, psychology, human factors and ergonomics; law, and public policy to create a unique, up-to-date reference of what is currently known and what needs to be considered in the future. With this knowledge, challenges faced by this growing population can be better addressed by health care providers, employers, survivors and their families. 376 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called 'network science. 404 pp. Englisch.