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Books on the topic 'Population modeling approaches'

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1

author, Sarich Marco 1985, ed. Metastability and Markov state models in molecular dynamics: Modeling, analysis, algorithmic approaches. American Mathematical Society, 2013.

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2

Railsback, Steven F., and Bret C. Harvey. Modeling Populations of Adaptive Individuals. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691195285.001.0001.

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Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach t
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Apostolopoulos, Yorghos, Michael K. Lemke, and Kristen Hassmiller Lich, eds. Complex Systems and Population Health. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190880743.001.0001.

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Currently, population health science is an integral part of academic curricula around the world. For over a century, the principles of the reductionist paradigm have guided population health curricula, training, research, and action. Researchers continue to draw upon these principles when theorizing, conceptualizing, designing studies, analyzing, and devising interventions to tackle complex population health problems. However, unresolved impasses in delineating and managing pressing population health challenges have catalyzed calls for the integration of complex systems science–grounded theore
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Rayner, Mike, Kremlin Wickramasinghe, Julianne Williams, Karen McColl, and Shanthi Mendis. Evidence for population-level approaches to the prevention of NCDs. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198791188.003.0008.

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This chapter is the first of three about solution generation. It focuses on ways to evaluate the effectiveness of population health interventions and provides key questions to ask when applying evidence-based medicine to public health interventions. It also discusses how the dialogue between evidence producers and policy-makers can take various forms. Case studies illustrate how action can lag far behind even when evidence is strong and how powerful vested interests can undermine evidence-based policies. The chapter then discusses the role that modelling methods can play in improving public he
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Wendling, Fabrice, and Fernando H. Lopes da Silva. Dynamics of EEGs as Signals of Neuronal Populations. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0003.

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This chapter gives an overview of approaches used to understand the generation of electroencephalographic (EEG) signals using computational models. The basic concept is that appropriate modeling of neuronal networks, based on relevant anatomical and physiological data, allows researchers to test hypotheses about the nature of EEG signals. Here these models are considered at different levels of complexity. The first level is based on single cell biophysical properties anchored in classic Hodgkin-Huxley theory. The second level emphasizes on detailed neuronal networks and their role in generatin
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Basu, Sanjay. Modeling in R. Edited by Sanjay Basu. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190667924.003.0007.

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Spreadsheet are straightforward to work with and do not require extensive knowledge of programming; they are easy to communicate with among people with varying levels of expertise; are convenient for optimization problems, given the availability of prepackaged Solver algorithms; and are commonly used for modeling in business management, nonprofit organization budgeting, consulting, and academia. But spreadsheets have their limitations, particularly when modeling large populations, long time periods, or complex situations with many states or conditions and equations. For larger scale models tha
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Frankham, Richard, Jonathan D. Ballou, Katherine Ralls, et al. Managing gene flow among isolated population fragments. II. Management based on kinship. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783398.003.0013.

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With more detailed genetic information, more precise genetic management of fragmented populations can be achieved, leading to improved retention of genetic diversity and lower inbreeding. Using mean kinship within and between populations (estimated from modeling, pedigrees, genetic markers or genomes), and moving individuals among fragments with the lowest between fragment mean kinships provides the best approach to gene flow management. Populations should then be monitored to confirm that movement of individuals has resulted in the desired levels of gene flow, and that genetic diversity has b
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Pineda, Jesús, and Nathalie Reyns, eds. Larval Transport in the Coastal Zone: Biological and Physical Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0011.

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Larval transport is fundamental to several ecological processes, yet it remains unresolved for the majority of systems. We define larval transport, and describe its components, namely, larval behavior and the physical transport mechanisms accounting for advection, diffusion, and their variability. We then discuss other relevant processes in larval transport, including swimming proficiency, larval duration, accumulation in propagating features, episodic larval transport, and patchiness and spatial variability in larval abundance. We address challenges and recent approaches associated with under
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Romanowska, Iza. Agent-Based Modeling for Archaeology. SFI Press, 2021. http://dx.doi.org/10.37911/9781947864382.

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To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and
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Andersen, Ken H. Fish Ecology, Evolution, and Exploitation. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691192956.001.0001.

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Fish are one of the most important global food sources, supplying a significant share of the world's protein consumption. From stocks of wild Alaskan salmon and North Sea cod to entire fish communities with myriad species, fisheries require careful management to ensure that stocks remain productive, and mathematical models are essential tools for doing so. This book is an introduction to the modern size- and trait-based approach to fish populations and communities. It covers the theoretical foundations, mathematical formulations, and real-world applications of this powerful new modeling method
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Cawthon, Stephanie, and Carrie Lou Garberoglio, eds. Research in Deaf Education. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190455651.001.0001.

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This edited volume, Research in Deaf Education: Contexts, Challenges, and Considerations, provides readers with critical foundational information with which to view contemporary research in deaf education. Deaf education as a field is experiencing a high degree of turnover in its researchers, as well as major shifts in how deaf individuals access information and engage with society as a whole. To conduct research in deaf education includes a need to be mindful of the influence of context as well as the challenges of conducting research with a low-incidence and diverse population. Together with
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Chalkley, Anna, and Lauren Sherar. Promoting physical activity. Edited by Alan Emond. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198788850.003.0012.

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Physical activity is beneficial to children’s health and well-being. Evidence suggests that physical activity declines with age from childhood through adolescence and into adulthood, with boys being more active than girls at all ages. Physical activity participation in childhood is affected by the social support and role modelling provided by family, peers, friends, and teachers. Marginalized groups are disadvantaged in terms of access to opportunities to be physically active. From a population perspective, the greatest gains in public health will be achieved by helping those who are most inac
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Simpson, Stephen J., Carlos Ribeiro, and Daniel González-Tokman. Feeding behavior. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0008.

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Insects need to ingest nutrients at appropriate levels to attain a balanced diet and maximize fitness. They do so by integrated responses that involve physiological mechanisms for sensing current nutritional needs, releasing systemic signals, and producing specific appetites for key required nutrients. Historically, the study of insect feeding behavior was appreciated for its importance in the understanding and control of crop pests and disease vectors. However, current evidence has shown that some mechanisms regulating feeding are highly conserved in animals, from insects to humans, bringing
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Light, Ryan, and James Moody, eds. The Oxford Handbook of Social Networks. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190251765.001.0001.

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Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and sub
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Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.

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Habitat is crucial to the survival and reproduction of individual organisms as well as persistence of populations. As such, species-habitat relationships have long been studied, particularly in the field of wildlife ecology and to a lesser extent in the more encompassing discipline of ecology. The habitat requirements of a species largely determine its spatial distribution and abundance in nature. One way to recognize and appreciate the over-riding importance of habitat is to consider that a young organism must find and settle into the appropriate type of habitat as one of the first challenges
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Velkushanova, Konstantina, Linda Strande, Mariska Ronteltap, Thammarat Koottatep, Damir Brdjanovic, and Chris Buckley, eds. Methods for Faecal Sludge Analysis. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781780409122.

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Faecal sludge management is recognized globally as an essential component of city-wide inclusive sanitation. However, a major gap in developing appropriate and adequate management and monitoring for faecal sludge is the ability to understand and predict the characteristics and volumes of accumulated faecal sludge, and correlations to source populations. Since standard methods for sampling and analysing faecal sludge do not currently exist, results are not comparable, the actual variability is not yet fully understood, and the transfer of knowledge and data between different regions and institu
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