Dynamics Of Time And Space

Hailed for its lucid presentation, TSK blends reasoning and experiential inquiry to offer a unique path of transformation. A deeply exhilarating book, TSK gives readers a language to ask the questions that conventional training teaches us to ignore. Thirty-five exercises reunite philosophy with direct experience.

A very accessible presentation of TSK, focusing on embodying knowledge instead of processing it.

This book describes the spatial and temporal perspectives on COVID-19 and its impacts and deepens our understanding of human dynamics during and after the global pandemic. It critically examines the role smart city technologies play in shaping our lives in the years to come. The book covers a wide-range of issues related to conceptual, theoretical and data issues, analysis and modeling, and applications and policy implications such as socio-ecological perspectives, geospatial data ethics, mobility and migration during COVID-19, population health resilience and much more. With accelerated pace of technological advances and growing divide on political and policy options, a better understanding of disruptive global events such as COVID-19 with spatial and temporal perspectives is an imperative and will make the ultimate difference in public health and economic decision making. Through in-depth analyses of concepts, data, methods, and policies, this book stimulates future studies on global pandemics and their impacts on society at different levels.

As profound threats to ecosystems increase worldwide, ecologists must move beyond studying single communities at a single point in time. All of the dynamic, interconnected spatial and temporal processes that determine the distribution and abundance of species must be understood in order to develop new conservation and management strategies. This volume is the first to integrate mathematical and biological approaches to these crucial topics. The editors include not only a wide variety of theoretical approaches, but also a broad range of experimental and field studies, with chapters written by renowned experts in community ecology, ecological modeling, population genetics, and conservation biology. In addition to providing new insights into well-known topics such as migration, the authors also introduce some less familiar subjects, including bacterial population genetics and ecotoxicology. For anyone interested in the study, management, and conservation of populations, this book will prove to be a valuable resource.

This investigation of time and space is motivated by gaps in our current understanding: by the lack of definitions, by our failure to appreciate the nature of these entities, by our inability to pin down their properties. The author's approach is based on two key ideas: The first idea is to seek the geo-historical origins of time and space concepts. A thorough investigation of a diversified archaeological corpus, allows him to draft coherent definitions; it furthermore gives clues as to whether time and space were discovered or invented. The second idea is to define the units before trying to define space and time. The results presented here are unexpected: Time and space were not discovered in nature, but they were invented; time is not a phenomenon and space has no materiality; they are only concepts. This runs contrary to the opinion of most scientific and the philosophical authorities, although one would seek in vain for a theoretical validation of the conventional position. This book will provide much food for thought for philosophers and scientists, as well as interested general readers.

Comprehensive, classic introduction to space-flight engineering for advanced undergraduate and graduate students provides basic tools for quantitative analysis of the motions of satellites and other vehicles in space.

This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis. A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics.