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Développement humain et loi log-périodique

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Abstract

Abstract – Human development and log-periodic laws. We suggest applying the log-periodic law formerly used to describe various crisis phenomena, in biology (evolutionary leaps), inorganic systems (earthquakes), societies and economy (economic crisis, market crashes) to the various steps of human ontogeny. We find a statistically significant agreement between this model and the data. To cite this article: R. Cash et al., C.R. Biologies 325 (2002) 585-590. ©2002 Académie des Sciences / Editions scientifiques et médicales Elsevier SAS Human ontogeny / log-periodic law / human evolution Résumé – Nous proposons d’appliquer la loi log-périodique utilisée pour décrire divers phénomènes de crises, biologiques

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... 30 The idea that physics should be based on neuropsychology is also supported by Fidelman's work. 31 27 "Let us therefore rather imagine the image of an infinitely small elastic band, contracted, if it were possible, into a mathematical point. We slowly start stretching it, so that the point turns into a line which grows continuously. ...
... Pöppel 1989, p. 380 (my translation) 30 Lakoff & Núñez' 2000. 31 Fidelman 2002, 2004 a,b,c and personal communication. ...
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We present an analysis of the time behavior of the S&P 500 (Standard and Poors) New York stock exchange index before and after the October 1987 market crash and identify precursory patterns as well as aftershock signatures and characteristic oscillations of relaxation. Combined, they all suggest a picture of a kind of dynamical critical point, with characteristic log-periodic signatures, similar to what has been found recently for earthquakes. These observations are confirmed on other smaller crashes, and strengthen the view of the stockmarket as an example of a self-organizing cooperative system.
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Knowledge of precursors and predictors of human parturition would be important both for our understanding of the controlling mechanisms and for practical use in the detection and diagnosis of various abnormalities of the birth process. They involve a multitude of genetic, metabolic, nutritional, hormonal and environmental factors. Present research is however hindered by the lack of a clear recognized correlation between the time evolution of these various variables and the initiation of parturition. Here, we propose a coherent logical framework which allows us to rationalize the various laboratory and clinical observations on maturation, the triggering mechanisms of parturition, the existence of various abnormal patterns as well as the effect of external stimuli of various kinds. Within the proposed mathematical model, parturition is seen as a “critical” instability or phase transition from a state of quietness, characterized by a weak incoherent activity of the uterus in its various parts as a function of time (state of activity of many small incoherent intermittent oscillators), to a state of globally coherent contractions where the uterus functions as a single macroscopic oscillator. Our approach gives a number of new predictions and suggests a strategy for future research and clinical studies, which present interesting potentials for improvements in predicting methods and in describing various abnormal prenatal situations.
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We analyse the time sequences of major evolutionary leaps at various scales, from the scale of the global tree of life, to the scales of orders and families such as sauropod dinosaurs, North American fossil Equidae, rodents, and primates including the Hominidae. In each case we find that these data are consistent with a log- periodic law to high level of statistical significance. Such a law is characterized by a critical epoch of convergence Tc specific to the lineage under consideration and that can be interpreted as the end of that lineage's capacity to evolve.RésuméLes séquences temporelles des grands sauts évolutifs sont analysées à diverses échelles, depuis celle de l'arbre global de la vie jusqu'à celles d'ordres ou de familles telles que les dinosaures sauropodes, les équidés fossiles d'Amérique du Nord, les rongeurs et les primates, incluant les hominidés. Dans tous les cas, nous trouvons que ces données peuvent êitre ajustées, avec, une haute signification statistique, par une loi log-périodique caractérisée par une époque critique de convergence Tc, qui dépend de la lignée considérée et qui peut s'interpréter comme la fin de la capacité d'évolution de cette lignée.
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Anew geometrical structure (geometry of intermittency) is applied to the evolutionary tree. Through the introduction of a principle of entropy flux conservation, one can recover and explain the log-periodical law, recently evidenced in the sequence of the main palaeontological events.
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The Kadanoff theory of scaling near the critical point for an Ising ferromagnet is cast in differential form. The resulting differential equations are an example of the differential equations of the renormalization group. It is shown that the Widom-Kadanoff scaling laws arise naturally from these differential equations if the coefficients in the equations are analytic at the critical point. A generalization of the Kadanoff scaling picture involving an "irrelevant" variable is considered; in this case the scaling laws result from the renormalization-group equations only if the solution of the equations goes asymptotically to a fixed point.
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We propose that catastrophic events are "outliers" with statistically different properties than the rest of the population and result from mechanisms involving amplifying critical cascades. We describe a unifying approach for modeling and predicting these catastrophic events or "ruptures," that is, sudden transitions from a quiescent state to a crisis. Such ruptures involve interactions between structures at many different scales. Applications and the potential for prediction are discussed in relation to the rupture of composite materials, great earthquakes, turbulence, and abrupt changes of weather regimes, financial crashes, and human parturition (birth). Future improvements will involve combining ideas and tools from statistical physics and artificial/computational intelligence, to identify and classify possible universal structures that occur at different scales, and to develop application-specific methodologies to use these structures for prediction of the "crises" known to arise in each application of interest. We live on a planet and in a society with intermittent dynamics rather than a state of equilibrium, and so there is a growing and urgent need to sensitize students and citizens to the importance and impacts of ruptures in their multiple forms.
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