The thoroughly revised edition of Vander's Human Physiology is an integrated package of textual and digital material that delivers basic and clinical content, real-life applications, and educational technologies. All these pieces come together to facilitate learning and enthusiasm for understanding the mechanisms of body function. Key focus areas include homeostasis, exercise, and human health. These and other areas of interest are elaborated upon, beginning with Chapter 1, where the key "General Principles of Physiology," an underlying theme in the book, is first introduced. Unifying themes, such as homeostasis, are explored throughout the book at all levels of system, organ, tissue, and cellular function-themes that are always related to pathophysiology through the use of compelling clinical case studies in all chapters, and a final chapter with several cases that integrate material across the entire book.

Molecular biology has driven a powerful reductionist, or "molecule-c- tric," approach to biological research in the last half of the 20th century. Red- tionism is the attempt to explain complex phenomena by defining the functional properties of the individual components of the system. Bloom (1) has referred to the post-genome sequencing era as the end of "naive reductionism. " Red- tionist methods will continue to be an essential element of all biological research efforts, but "naive reductionism," the belief that reductionism alone can lead to a complete understanding of living organisms, is not tenable. Organisms are clearly much more than the sum of their parts, and the behavior of complex physiological processes cannot be understood simply by knowing how the parts work in isolation. Systems biology has emerged in the wake of genome sequencing as the s- cessor to reductionism (2-5). The "systems" of systems biology are defined over a wide span of complexity ranging from two macromolecules that interact to carry out a specific task to whole organisms. Systems biology is integrative and seeks to understand and predict the behavior or "emergent" properties of complex, multicomponent biological processes. A systems-level characteri- tion of a biological process addresses the following three main questions: (1) What are the parts of the system (i. e."

Nonmammalian model organisms have become a cornerstone of systems biology research. Like the Rosetta Stone, which enabled modern scholars to decode ancient Egyptian hieroglyphics, model organisms enable biologists to decipher the genetic code underlying the complex physiological processes common to all life. C. elegans provides a particularly striking example of the experimental utility of model organisms. Genetic, molecular and systems biological characterization of this organism is greatly facilitated by its short life cycle and high rate reproduction, and by the ease with which it can be cultured in the laboratory. C. elegans also has a fully sequenced and well-annotated genome, which is assembled in readily accessible public databases along with virtually all other biological data on this organism.
C. elegans: Methods and Applications aims to enhance the readily available methodologies for the study of C. elegans by providing overviews and concise, step-by-step descriptions of the most state-of-the-art methods currently being utilized in the field. Some of the methods presented include forward and reverse genetic analysis, data mining and comparative genomics strategies, electron and fluorescence microscopy methods, automated imaging methods for worm behavioral analysis, functional genomics strategies, and cutting-edge methods for physiological analyses. This comprehensive collection of methods, written by experts in the field, endeavors to serve as a roadmap for researchers, illustrating the type or research that is possible with C. elegans, and illuminating its potential as a vehicle for future discovery.

How do the benefits of higher education compare with its costs, and how does this comparison vary across individuals and institutions? These questions are fundamental to quantifying the productivity of the education sector. The studies in Productivity in Higher Education use rich and novel administrative data, modern econometric methods, and careful institutional analysis to explore productivity issues. The authors examine the returns to undergraduate education, differences in costs by major, the productivity of for-profit schools, the productivity of various types of faculty and of outcomes, the effects of online education on the higher education market, and the ways in which the productivity of different institutions responds to market forces. The analyses recognize five key challenges to assessing productivity in higher education: the potential for multiple student outcomes in terms of skills, earnings, invention, and employment; the fact that colleges and universities are "multiproduct" firms that conduct varied activities across many domains; the fact that students select which school to attend based in part on their aptitude; the difficulty of attributing outcomes to individual institutions when students attend more than one; and the possibility that some of the benefits of higher education may arise from the system as a whole rather than from a single institution. The findings and the approaches illustrated can facilitate decision-making processes in higher education.