Timescales


Book Description

Humanists, scientists, and artists collaborate to address the disjunctive temporalities of ecological crisis In 2016, Antarctica’s Totten Glacier, formed some 34 million years ago, detached from its bedrock, melted from the bottom by warming ocean waters. For the editors of Timescales, this event captures the disjunctive temporalities of our era’s—the Anthropocene’s—ecological crises: the rapid and accelerating degradation of our planet’s life-supporting environment established slowly over millennia. They contend that, to represent and respond to these crises (i.e., climate change, rising sea levels, ocean acidification, species extinction, and biodiversity loss) requires reframing time itself, making more visible the relationship between past, present, and future, and between a human life span and the planet’s. Timescales’ collection of lively and thought-provoking essays puts oceanographers, geophysicists, geologists, and anthropologists into conversation with literary scholars, art historians, and archaeologists. Together forging new intellectual spaces, they explore the relationship between geological deep time and historical particularity, between ecological crises and cultural expression, between environmental policy and social constructions, between restoration ecology and future imaginaries, and between constructive pessimism and radical (and actionable) hope. Interspersed among these essays are three complementary “etudes,” in which artists describe experimental works that explore the various timescales of ecological crisis. Contributors: Jason Bell, Harvard Law School; Iemanjá Brown, College of Wooster; Beatriz Cortez, California State U, Northridge; Wai Chee Dimock, Yale U; Jane E. Dmochowski, U of Pennsylvania; David A. D. Evans, Yale U; Kate Farquhar; Marcia Ferguson, U of Pennsylvania; Ömür Harmanşah, U of Illinois at Chicago; Troy Herion; Mimi Lien; Mary Mattingly; Paul Mitchell, U of Pennsylvania; Frank Pavia, California Institute of Technology; Dan Rothenberg; Jennifer E. Telesca, Pratt Institute; Charles M. Tung, Seattle U.




Multiplicity of Time Scales in Complex Systems


Book Description

Zusammenfassung: This highly interdisciplinary volume brings together a carefully curated set of case studies examining complex systems with multiple time scales (MTS) across a variety of fields: materials science, epidemiology, cell physiology, mathematics, climatology, energy transition planning, ecology, economics, sociology, history, and cultural studies. The book addresses the vast diversity of interacting processes underlying the behaviour of different complex systems, highlighting the multiplicity of characteristic time scales that are a common feature of many and showcases a rich variety of methodologies across disciplinary boundaries. Self-organizing, out-of-equilibrium, ever-evolving systems are ubiquitous in the natural and social world. Examples include the climate, ecosystems, living cells, epidemics, the human brain, and many socio-economic systems across history. Their dynamical behaviour poses great challenges in the pressing context of the climate crisis, since they may involve nonlinearities, feedback loops, and the emergence of spatial-temporal patterns, portrayed by resilience or instability, plasticity or rigidity; bifurcations, thresholds and tipping points; burst-in excitation or slow relaxation, and worlds of other asymptotic behaviour, hysteresis, and resistance to change. Chapters can be read individually by the reader with special interest in such behaviours of particular complex systems or in specific disciplinary perspectives. Read together, however, the case studies, opinion pieces, and meta-studies on MTS systems presented and analysed here combine to give the reader insights that are more than the sum of the book's individual chapters, as surprising similarities become apparent in seemingly disparate and unconnected systems. MTS systems call into question naïve perceptions of time and complexity, moving beyond conventional ways of description, analysis, understanding, modelling, numerical prediction, and prescription of the world around us. This edited collection presents new ways of forecasting, introduces new means of control, and - perhaps as the most demanding task - it singles out a sustainable description of an MTS system under observation, offering a more nuanced interpretation of the floods of quantitative data and images made available by high- and low-frequency measurement tools in our unprecedented era of information flows







Stratigraphy & Timescales


Book Description

Stratigraphy and Timescales covers current research across a wide range of stratigraphic disciplines, providing information on recent developments for the geoscientific research community. This fully commissioned review publication aims to foster and convey progress in stratigraphy, including geochronology, magnetostratigraphy, lithostratigraphy, event-stratigraphy, isotope stratigraphy, astrochronology, climatostratigraphy, seismic stratigraphy, biostratigraphy, ice core chronology, cyclostratigraphy, palaeoceanography, sequence stratigraphy, and more. - Contains contributions from leading authorities in the field - Informs and updates on all the latest developments in the field - Aims to foster and convey progress in stratigraphy, including geochronology, magnetostratigraphy, lithostratigraphy, event-stratigraphy, and more




An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation


Book Description

The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.




Mathematical Modeling in Systems Biology


Book Description

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.




Motivational Dynamics in Language Learning


Book Description

This landmark volume offers a collection of conceptual papers and empirical research studies that investigate the dynamics of language learning motivation from a complex dynamic systems perspective. The contributors include some of the most well-established scholars from three continents, all addressing the question of how we can understand motivation if we perceive it as continuously changing and evolving rather than as a fixed learner trait. The data-based studies also provide useful research models and templates for graduate students and scholars in the fields of applied linguistics and SLA who are interested in engaging with the intriguing area of examining language learning in a dynamic vein.




From Brain Dynamics to the Mind


Book Description

From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues. Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surmise, and what we may never know about the distinction between brain and mind. - Reviews models of understanding the mind/brain problem - Identifies neural processes involved in consciousness, sense of self and brain function - Includes concepts and research from neuroscience, psychology, cognitive science and philosophy - Discusses implications for AI, novel therapies for psychiatric disorders and issues of ethics - Suggests experimental designs and data analyses for future research on the mind/brain issue




Time: From Earth Rotation to Atomic Physics


Book Description

In the twenty-first century, we take the means to measure time for granted, without contemplating the sophisticated concepts on which our time scales are based. This volume presents the evolution of concepts of time and methods of time keeping up to the present day. It outlines the progression of time based on sundials, water clocks, and the Earth's rotation, to time measurement using pendulum clocks, quartz crystal clocks, and atomic frequency standards. Time scales created as a result of these improvements in technology and the development of general and special relativity are explained. This second edition has been updated throughout to describe twentieth- and twenty-first-century advances and discusses the redefinition of SI units and the future of UTC. A new chapter on time and cosmology has been added. This broad-ranging reference benefits a diverse readership, including historians, scientists, engineers, educators, and it is accessible to general readers.




Astrophysics


Book Description

This is a balanced textbook presenting the theory and observations of stars and their evolution—a cornerstone of Astrophysics. Decoding the Stars is a companion volume to Decoding the Cosmos from astrophysics teacher and researcher, Professor Judith Irwin. The text presents an accessible, student-friendly guide to the key theories and principles of stars, emphasizing the close connection between observation and theory. To aid in reader comprehension, the text includes further online resources and problems at the end of each chapter. Many examples throughout the text illustrate the important physics in a given process without resorting to complex numerical modelling. However, some problems introduce numerical modelling results using appropriate online resources. Sample topics covered in Decoding the Stars include: The Sun, gaseous and radiative processes Stellar interiors, energy transport mechanisms, stellar cores and nuclear energy generation, the global energy budget, timescales, and stability Observational constraints, variable stars, and star formation from molecular clouds to the ZAMS Evolutionary tracks on the HR diagram for stars of different masses, and how stars end their lives Stellar remnants – white dwarfs, neutron stars and pulsars, and black holes Decoding the Stars is a highly useful textbook resource for second- to fourth-year undergraduate students pursuing an Astrophysics program, along with Physics undergraduates who have opted to take stellar structure and evolution as part of their course. It will also be useful for new graduate students who want a solid grounding in stellar astrophysics.