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An ever greater number of our contemporaries will reach a very much greater age than their ancestors. Longevity is one of the most fertile fields for paradoxes: it is clear that the same causes do not produce the same effects at the age of ten and at the age of one hundred! On the subject of longevity, the "recipe book" is far from having been written. Nevertheless, the Fondation IPSEN has chosen a few of these paradoxes to discuss and try and explain them.
Longitudinal Data Analysis, Volume 50 in the Handbook of Statistics series covers how data consists of a series of repeated observations of the same subjects over an extended time frame and is thus useful for measuring change. Such studies and the data arise in a variety of fields, such as health sciences, genomic studies, experimental physics, sociology, sports and student enrollment in universities. For example, in health studies, intra-subject correlation of responses must be accounted for, covariates vary with time, and bias can arise if patients drop out of the study. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Statistics series - Updated release includes the latest information on Modeling and Analysis of Longitudinal Data
Robert Arking's Biology of Aging is an introductory text to the biology of aging which gives advanced undergraduate and graduate students a thorough review of the entire field. The mass of data related to aging is summarized into fifteen focused chapters, each dealing with some particular aspect of the problem. His prior two editions have also served admirably as a reference text for clinicians and scientists. This new edition captures the extraordinary recent advances in our knowledge of the ultimate and proximal mechanisms underlying the phenomenon of aging.
This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data, networks, operatorial statistics, prediction, regression, robustness, sequential learning, small-ball probability, smoothing, spatial data, testing, and topological object data analysis, and includes applications in automobile engineering, criminology, drawing recogni...
The current eBook collection includes substantial scientific work in describing how insect species are responding to abiotic factors and recent climatic trends on the basis of insect physiology and population dynamics. The contributions can be broadly split into four chapters: the first chapter focuses on the function of environmental and mostly temperature driven models, to identify the seasonal emergence and population dynamics of insects, including some important pests. The second chapter provides additional examples on how such models can be used to simulate the effect of climate change on insect phenology and population dynamics. The third chapter focuses on describing the effects of nutrition, gene expression and phototaxis in relation to insect demography, growth and development, whilst the fourth chapter provides a short description on the functioning of circadian systems as well as on the evolutionary dynamics of circadian clocks.
In Butterfly Biology Systems Roger Dennis explores key topics and contentious issues in butterfly biology, specifically those in life history and behaviour. Uniquely, using a systems approach, the book focuses on the degree of integration and feedback between components and elements affecting each issue, as well as the links between different issues. The book comprises four sections. The first two sections introduce the reader to principles and approaches for investigating complex relationships, and provide a platform of knowledge on butterfly biology. The final two sections deal in turn with life history and behaviour, covering key issues affecting different stages of development from eggs to adults.
Integrated Population Biology and Modeling: Part B, Volume 40, offers very delicately complex and precise realities of quantifying modern and traditional methods of understanding populations and population dynamics, with this updated release focusing on Prey-predator animal models, Back projections, Evolutionary Biology computations, Population biology of collective behavior and bio patchiness, Collective behavior, Population biology through data science, Mathematical modeling of multi-species mutualism: new insights, remaining challenges and applications to ecology, Population Dynamics of Manipur, Stochastic Processes and Population Dynamics Models: The Mechanisms for Extinction, Persistence and Resonance, Theories of Stationary Populations and association with life lived and life left, and more. - Studies human and animal models that are studied both separately and throughout chapters - Presents a comprehensive and timely update on integrated population biology