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Epigenetics in Biological Communication is the first book that integrates Development, Signaling, Context, Genetics and Evolution. Every cell, tissue, organ and organism is competent to use signals to exchange information reaching common coordinations and organisations of both single cell and group behavior. These signal-mediated interactions we term biological communication (biocommunication). The regulatory system that works in development, morphology, cell fate and identity, physiology, genetic instructions, immunity, memory/learning, physical and mental disease depends on epigenetic marks. The communication of cells, persistent viruses and their defectives such as mobile genetic elements and RNA networks ensures both the transport of regulatory instructions and the reprogramming of these instructions. But how are the different states of the epigenome orchestrated? With the emergence of epigenetic memory, organisms can fix historical and context- dependent impressive experiences. Evolution from now on learnt to learn. Learning means organisms can avoid reproduction of always the same. This is key to adaptation. However, inheritance of acquired characteristics is only one of the many examples of the explanatory power of epigenetics. Behavioral epigenetics demonstrates the way in which environmental and social experiences produce individual differences in behavior, cognition, personality, and mental health. This book assembles leading experts to outline the various motifs of epigenetic regulation of cellular life.
Genetics --- Biotechnology --- genetica --- biotechnologie --- Biology --- Genomics. --- Genetics. --- Evolutionary genetics. --- Epigenetics. --- Genomic Analysis. --- Evolutionary Genetics. --- Technique.
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Evolutionary computation --- Evolutionary programming (Computer science) --- Swarm intelligence --- Evolutionary computation. --- Swarm intelligence. --- Collective intelligence --- Computation, Evolutionary --- Cellular automata --- Distributed artificial intelligence --- Computer programming --- Neural networks (Computer science) --- Information Technology --- Computational Biosciences --- Modelling & Simulation --- Réseaux neuronaux à structure évolutive --- Programmation évolutive
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Evolution (Biology) --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Evolution --- Biology --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny
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This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, randomness tests, and visualization methods, the authors' approach has the benefits of universality and simplicity of data analysis, regardless of data types, structures, or specific field of science. First, mathematical preparation is described. The RMT-PCA and the RMT-test utilize the cross-correlation matrix of time series, C = XXT, where X represents a rectangular matrix of N rows and L columns and XT represents the transverse matrix of X. Because C is symmetric, namely, C = CT, it can be converted to a diagonal matrix of eigenvalues by a similarity transformation SCS-1 = SCST using an orthogonal matrix S. When N is significantly large, the histogram of the eigenvalue distribution can be compared to the theoretical formula derived in the context of the random matrix theory (RMT, in abbreviation). Then the RMT-PCA applied to high-frequency stock prices in Japanese and American markets is dealt with. This approach proves its effectiveness in extracting "trendy" business sectors of the financial market over the prescribed time scale. In this case, X consists of N stock- prices of length L, and the correlation matrix C is an N by N square matrix, whose element at the i-th row and j-th column is the inner product of the price time series of the length L of the i-th stock and the j-th stock of the equal length L. Next, the RMT-test is applied to measure randomness of various random number generators, including algorithmically generated random numbers and physically generated random numbers. The book concludes by demonstrating two applications of the RMT-test: (1) a comparison of hash functions, and (2) stock prediction by means of randomness, including a new index of off-randomness related to market decline.
Economics --- Information systems --- economie --- gegevensanalyse --- Evolutionary economics. --- Institutional economics. --- Big data. --- Quantitative research. --- Institutional and Evolutionary Economics. --- Big Data. --- Data Analysis and Big Data. --- Mathematics
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Ozan Altinok's book explores the intersection of evolutionary medicine and the concept of disease, examining the ethical and conceptual challenges that arise in this emerging field. The work emphasizes the evolving nature of disease conceptions and their implications for bioethics, especially in light of recent developments in evolutionary theory. Altinok employs a pragmatist conception of meaning to address shifts in both descriptive and evaluative aspects of the concept of disease. The book is aimed at academics and students in fields such as science and technology studies, philosophy of biology, and bioethics, aiming to provide foundational insights into the ethical discourse surrounding evolutionary medicine.
Theory of knowledge --- Professional ethics. Deontology --- History of human medicine --- Human medicine --- filosofie --- geneeskunde --- medische ethiek --- kennisleer --- Evolutionary medicine. --- Bioethics. --- Evolutionary medicine --- Bioethics
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Genetics --- Génétique --- Periodicals --- Périodiques --- Génétique --- #ANTILTPNE9602 --- Life Sciences --- Evolutionary Studies --- Biology --- Life Sciences. --- Genetics.
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Earth Sciences --- Life Sciences --- Social Sciences --- Geology --- Mineralogy --- Paleontology --- Evolutionary Studies --- Zoology --- Museums & Heritage Organizations
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This unique volume is one of the first of its kind to examine infancy through an evolutionary lens, identifying infancy as a discrete stage during which particular types of adaptations arose as a consequence of certain environmental pressures. Infancy is a crucial time period in psychological development, and evolutionary psychologists are increasingly recognizing that natural selection has operated on all stages of development, not just adulthood. The volume addresses this crucial change in perspective by highlighting research across diverse disciplines including developmental psychology, evolutionary developmental psychology, anthropology, sociology, nutrition, and primatology.. Readers will gain Interdisciplinary perspectives on infancy; View of the infant brain as an adaptive organ subject to environmental pressures; An understanding of natural selection and its developmental consequences. Evolutionary Perspectives on Infancy sheds new light on our understanding of the human brain and the environments responsible for shaping the brain during early stages of development. This book will be of interest to evolutionary psychologists and developmental psychologists, biologists, and anthropologists, as well as scholars more broadly interested in infancy.
Psychology --- Educational psychology --- Psychiatry --- schoolpsychologie --- klinische psychologie --- persoonlijkheidsleer --- Evolutionary psychology. --- Infant psychology.
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From the ‘punctuated equilibrium' of Eldrege and Gould, through Lewontin's ‘triple helix' and the various visions and revisions of the Extended Evolutionary Synthesis (EES) of Laland and others, both data and theory have demanded an opening-up of the 1950's Evolutionary Synthesis that so firmly wedded evolutionary theory to the mathematics of gene frequency analysis. It can, however, be argued that a single deep and comprehensive mathematical theory may simply not be possible for the almost infinite varieties of evolutionary process active at and across the full range of scales of biological, social, institutional, and cultural phenomena. Indeed, the case history of 'meme theory' should have raised a red flag that narrow gene-centered models of evolutionary process may indeed have serious limitations. What is attempted here is less grand, but still broader than a gene-centered analysis. Following the instruction of Maturana and Varela that all living systems are cognitive, in a certain sense, and that living as a process is a process of cognition, the asymptotic limit theorems of information and control theories that bound all cognition provide a basis for constructing an only modestly deep but wider-ranging series of probability models that might be converted into useful statistical tools for the analysis of observational and experimental data related to evolutionary process. The line of argument in this series of interrelated essays proves to be surprisingly direct.
Psychology --- Social psychology --- Evolution. Phylogeny --- gedrag (mensen) --- psychologie --- Europees recht --- evolutieleer --- Evolution (Biology). --- Psychology. --- Model theory. --- Evolutionary Biology. --- Evolutionary Theory. --- Behavioral Sciences and Psychology. --- Model Theory. --- Biology --- Science --- Evolution (Biology)
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This book explores the nature of cultural and culturally structured social and behavioral entities, their evolutionary interactions, and the central role purposive behaviors play in those interactions. It, first, makes the case for cultural and cultural structured systems being considered as true entities bounded in time and space, and not ephemera in a constant state of becoming another system. Second, it examines how these entities interact to produce evolutionary culture change. It then argues that the intent of purposive behaviors is reliably knowable in the aggregate, at least when dealing with expressions of behavioral tendencies in the animal kingdom, humans included. Finally, the book references well documented behavioral tendencies for examples of proximate causation in the evolution of settled village societies and, following that, socially complex societies. Through these efforts, the book synthesizes the various approaches to the evolution of culture and provides a complete and comprehensive picture of the process. It provides a corrective to the tendency to view cultural systems as entirely open ended and as capable of changing in any direction; and also to treating cultural evolution as solely a result of selective forces, that is, in terms of only ultimate causation. This book provides an engaging and critical counterview to established theories of cultural evolution and is of interest to scholars and students of different disciplines, from anthropology and archeology, to evolutionary biology and epigenetics.
Ethnology. Cultural anthropology --- General palaeontology --- Evolution. Phylogeny --- Archeology --- Europees recht --- evolutieleer --- antropologie --- archeologie --- paleontologie --- Human evolution. --- Anthropology. --- Archaeology. --- Social evolution. --- Evolution (Biology). --- Paleontology. --- Evolutionary Anthropology. --- Cultural Evolution. --- Social Evolution. --- Evolutionary Biology. --- Evolution (Biology)
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