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

It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent's world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".

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.

Invierno de 1845. Los integrantes de la Real Expedición Manterola-Guillemard se internan en la inexplorada Caldera de San Carlos, un gigantesco cráter volcánico apagado en la isla de Fernando Poo. Lo hacen en cumplimiento de la inquietante y extraña "Instrucción Reservada nº14", firmada por la reina.Otoño de 1622. El jesuita Páez, evangelizador en el legendario reino del Preste Juan, la actual Etiopía, redacta en su lecho de muerte una carta secreta para el general de la orden. En ella le desvela la increíble historia del Elá Abá Okiri, un niño que fue raptado por mercaderes de esclavos del Reino de Saba en una lejana isla del golfo de Guinea.Verano de 1986. Jorge Salvatierra prepara su último examen de la carrera en el edificio del antiguo Casino Militar de Madrid. Allí conocerá al pintoresco coronel Monistrol, su preparador, y al resto de los extraños habitantes del Casino, un destartalado grupo de septuagenarios que solo tienen un sueño: "Volver a Guinea".Únicamente Jorge, acompañado de Claire, será capaz de juntar todas las piezas del enigma, vencer todas las dificultades y de descubrir el secreto que desde hace siglos se esconde en las entrañas de un volcán apagado.No solo vas a leer una novela, vas a formar parte de una aventura.

It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent's world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".

It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding. On the other hand, in computational sciences, the use of hierarchical information is well known for reducing the complexity of solving problems. This book studies hierarchical representations of large-scale space and presents a new model, called Multi-AH-graph, that uses multiple hierarchies of abstraction. It allows an agent to represent structural information acquired from the environment (elements such as objects, free space, etc., relations existing between them, such as proximity, similarity, etc. and other types of information, such as colors, shapes, etc). The Multi-AH-graph model extends a single hierarchy representation to a mUltiple hierarchy arrangement, which adapts better to a wider range of tasks, agents, and environments. We also present a system called CLAUDIA, which is an implementation of the task-driven paradigm for automatic construction of multiple abstractions: a set of hierarchies of abstraction will be "good" for an agent if it can reduce the cost of planning and performing certain tasks of the agent in the agent''s world. CLAUDIA constructs multiple hierarchies (Multi-AH-graphs) for a given triple , trying to optimize their "goodness".