The book shows you how you can effectively integrate the latest findings of neuroscience into your everyday work or leadership. Brain-adapted leadership shows you how applied psychology from the perspective of neuroscience works both in leadership work and in everyday professional life as a whole. Based on a neuropsychological behavioral model, you will learn about the plausible connections between perceptions, needs, emotions, thinking and acting. These insights form a valuable basis for leading yourself, teams and corporate units. In addition, you will receive numerous exercise instructions and examples for illustration and practical implementation. The subject of this work is of particular importance to you if you want to better understand your own feelings and behavior and those of your fellow human beings in order to achieve valuable interactions and fulfilling work activities. Target Audience: This reference book is aimed at managers and coaches, as well as people in the world of work who are willing to work on themselves to achieve greater satisfaction, serenity and balance: and neuroscience knows that we can do this, even into old age. About the author: Christoph Hoffmann is a graduate psychologist FH, graduate engineer HTL; studied psychology with a focus on Industrial and Organizational Psychology in Zurich. He has leadership experience in various adult education institutions and works at the IAP at the ZHAW Zurich University of Applied Sciences as a consultant and lecturer in the Centre for Leadership, Coaching and Change Management.

Computer-based technologies for the production and analysis of data have been an integral part of biological research since the 1990s at the latest. This not only applies to genomics and its offshoots but also to less conspicuous subsections such as ecology. But little consideration has been given to how this new technology has changed research practically. How and when do data become questionable? To what extent does necessary infrastructure influence the research process? What status is given to software and algorithms in the production and analysis of data? These questions are discussed by the biologists Philipp Fischer and Hans Hofmann, the philosopher Gabriele Gramelsberger, the historian of science and biology Hans-Jörg Rheinberger, the science theorist Christoph Hoffmann, and the artist Hannes Rickli. The conditions of experimentation in the digital sphere are examined in four chapters--"Data," "Software," "Infrastructure," and "in silico"--in which the different perspectives of the discussion partners complement one another. Rather than confirming any particular point of view, Natures of Data deepens understanding of the contemporary basis of biological research.

It is the view of the author that the streams of geometric and solid modeling are converging, and that as the importance of this convergence is anticipated and recognized, the need for the development of techniques to bridge the gap between the two becomes critical. This book is devoted to filling that need. "Geometric and Solid Modeling" deals with the concepts and tools needed to design and implement solid-modeling systems and their infrastructure and substrata, making this information remarkably accessible--to the novice as well as to the experienced designer. The essential algorithms and the underlying theory needed to design these systems are given primary emphasis. Techniques for the study and implementation of geometric algorithms are taken from computer science, numerical analysis, and symbolic computation, among other areas. Special attention is given to geometric investigations of implicit and parametric surfaces, with the focal point being the possible integration of geometric and solid modeling.