Javier Gonzalez – författare

Obesity: Integrating Physiological, Pathophysiological and Clinical Perspectives, a volume in Elsevier's Hot Topics in Physiology series, provides coverage across a wide range of physiological disciplines, covering obesity science at a sufficient level to be understood by physiologists who may not be an expert in all subdisciplines, and with an aim of unifying physiological perspectives on obesity. Divided into three sections, the book covers causes of obesity (e.g., regulation of energy balance), the consequences of obesity (e.g., metabolic, disease risk etc.), and strategies to prevent and/or manage obesity (e.g., bariatric surgery, pharmacotherapy, and lifestyle).This volume is published in association with the International Union of Physiological Sciences (IUPS). It will be of great interest for clinicians, dieticians, exercise physiologists, and molecular biologists.

Highlights the benefits of a physiological approach to obesityProvides in-depth information for the interested scientist who may not be an expert in the fieldWritten by global leaders in their field of expertise

This book formalizes multiple abstraction (arranging knowledge hierarchically using more than one hierarchy) based on graphs, and studies in-depth its implications in path search, graph isomorphism, and in the automatic construction of multi-hierarchical structures. It also describes its application as a model of the large-scale space environment of mobile robots, including real mobile robots and a well-known computational model of the human cognitive map: the Spatial Semantic Hierarchy. This book is intended for PhD students and in general for robotics, computer science, and artificial intelligence researchers.

This book focuses on the performance of mobile robots through the use of multi-hierarchical symbolic representations of the environment. To perform deliberative actions, a robot must possess some symbolic representation of its workspace, but representations of real environments can become so large that they must be conveniently arranged to facilitate and, in some cases, make possible their use. Practical solutions tested on real robots, for example a robotic wheelchair, are provided.

This book focuses on the performance of mobile robots through the use of multi-hierarchical symbolic representations of the environment. To perform deliberative actions, a robot must possess some symbolic representation of its workspace, but representations of real environments can become so large that they must be conveniently arranged to facilitate and, in some cases, make possible their use. Practical solutions tested on real robots, for example a robotic wheelchair, are provided.

This book formalizes multiple abstraction (arranging knowledge hierarchically using more than one hierarchy) based on graphs, and studies in-depth its implications in path search, graph isomorphism, and in the automatic construction of multi-hierarchical structures. It also describes its application as a model of the large-scale space environment of mobile robots, including real mobile robots and a well-known computational model of the human cognitive map: the Spatial Semantic Hierarchy. This book is intended for PhD students and in general for robotics, computer science, and artificial intelligence researchers.