737 research outputs found

    Archive data base and handling system for the Orbiter flying qualities experiment program

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    The OFQ archives data base and handling system assembled as part of the Orbiter Flying Qualities (OFQ) research of the Orbiter Experiments Program (EOX) are described. The purpose of the OFQ archives is to preserve and document shuttle flight data relevant to vehicle dynamics, flight control, and flying qualities in a form that permits maximum use for qualified users. In their complete form, the OFQ archives contain descriptive text (general information about the flight, signal descriptions and units) as well as numerical time history data. Since the shuttle program is so complex, the official data base contains thousands of signals and very complex entries are required to obtain data. The OFQ archives are intended to provide flight phase oriented data subsets with relevant signals which are easily identified for flying qualities research

    The Moment Guided Monte Carlo method for the Boltzmann equation

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    In this work we propose a generalization of the Moment Guided Monte Carlo method developed in [11]. This approach permits to reduce the variance of the particle methods through a matching with a set of suitable macroscopic moment equations. In order to guarantee that the moment equations provide the correct solutions, they are coupled to the kinetic equation through a non equilibrium term. Here, at the contrary to the previous work in which we considered the simplified BGK operator, we deal with the full Boltzmann operator. Moreover, we introduce an hybrid setting which permits to entirely remove the resolution of the kinetic equation in the limit of infinite number of collisions and to consider only the solution of the compressible Euler equation. This modification additionally reduce the statistical error with respect to our previous work and permits to perform simulations of non equilibrium gases using only a few number of particles. We show at the end of the paper several numerical tests which prove the efficiency and the low level of numerical noise of the method.Comment: arXiv admin note: text overlap with arXiv:0908.026

    Psychological assessment in pathological gamblers treated with escitalopram

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    Pathological Gambling (PG) is classified as a "Disorder of Impulse Control", but due to similarities with drug addiction is frequently described as a drug-free addiction (Potenza et al., 2012). PG is conceptualized as a behavioural addiction because of its neurobiologic, neurophysiologic and psychological features. Current therapeutical approaches seem unsatisfactory as they do not achieve definitive positive outcomes. Considering the well known psycopathological comorbidities, PG represents both a social (impact on relatives money/life) and a sanitary cost, in terms of pharmacological and psychological support. The compulsive behaviour detectable in PG, is a disease with neurophysiopathological basis now fairly well-defined which affects particularly vulnerable people. PG is linked to important changes in brain systems such as the prefrontal cortex, the nucleus accumbens, the endogenous opioid system and the extended amygdale. Recent fMRI studies associate PG with blunted mesolimbic activation to non-specific rewards, whereas increased prefrontal cortex, anterior cingulate and ventral striatum activation is observed during gambling-related cue-exposure paradigms. Several neuropsychological studies show higher impulsivity in PG (Odlaug BL. et al., 2013) that, together with specific psychopathological symptoms, such as anxiety and depressed mood, characterize different PG subtypes (Blaszczynski A, Nower L. 2002). Impulsivity transcends multiple psychiatric disorders and is thought to be central to impulse control disorders such as PG. Furthermore, many PGs suffers from depression and decreased mood

    PATHOLOGICAL GAMBLING: AN ASSOCIATION WITH ALEXITHYMIA, PERSONALITY DISORDERS AND CLINICAL SYNDROMES

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    Pathological gambling (PG) is a disorder recently conceptualized as a behavioural addiction, because of its neurobiological, neurophysiological and psychological features (American Psychiatric Association. Diagnostic and statistical manual of mental disorders - 5th ed., 2013; Potenza et al., 2012). PG represents both a social and a sanitary cost, in terms of pharmacological and psychological therapies. The aim of this study was to examine the correlation between personality disorders, clinical syndromes and alexithymia levels in a group of pathological gamblers. Furthermore this study aimed at highlighting a relationship between PG and alexithymia, over and above the relationship between personality disorders, clinical syndromes and PG. Sixty treatment- seeking pathological gamblers and 60 healthy controls were included in the study. Psychological assessment included the South Oaks Gambling Screen (SOGS), the Millon Clinical Multiaxial Inventory (MCMI-III) and the Toronto Alexithymia Scale (TAS-20). Pathological gamblers displayed Axis I disorders, such as anxiety, somatoform symptoms, bipolar symptoms, dysthymia, thought disorders and major depression, as well as Axis II disorders such as depressive, antisocial, sadistic, passive-aggressive, self-defeating and paranoid disorders, and greater alexithymia levels. Alexithymia was detected in PG independently from the presence of other psychiatric disorders. Our data show that comorbid psychiatric disorders have been evidentiated in PG. Interestingly alexithymia is related to PG indipendently from other psychopathological disorders, representing a relevant feature, helpful for assessing PG diagnosis and for orienting to the correct therapeutical strategy. REFERENCES American Psychiatric Association. 2013. American Psychiatric Publishing Potenza et al.,2012Psychoph219(2):469-49

    Uncertainty quantification for kinetic models in socio-economic and life sciences

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    Kinetic equations play a major rule in modeling large systems of interacting particles. Recently the legacy of classical kinetic theory found novel applications in socio-economic and life sciences, where processes characterized by large groups of agents exhibit spontaneous emergence of social structures. Well-known examples are the formation of clusters in opinion dynamics, the appearance of inequalities in wealth distributions, flocking and milling behaviors in swarming models, synchronization phenomena in biological systems and lane formation in pedestrian traffic. The construction of kinetic models describing the above processes, however, has to face the difficulty of the lack of fundamental principles since physical forces are replaced by empirical social forces. These empirical forces are typically constructed with the aim to reproduce qualitatively the observed system behaviors, like the emergence of social structures, and are at best known in terms of statistical information of the modeling parameters. For this reason the presence of random inputs characterizing the parameters uncertainty should be considered as an essential feature in the modeling process. In this survey we introduce several examples of such kinetic models, that are mathematically described by nonlinear Vlasov and Fokker--Planck equations, and present different numerical approaches for uncertainty quantification which preserve the main features of the kinetic solution.Comment: To appear in "Uncertainty Quantification for Hyperbolic and Kinetic Equations

    A kinetic equation for economic value estimation with irrationality and herding

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    A kinetic inhomogeneous Boltzmann-type equation is proposed to model the dynamics of the number of agents in a large market depending on the estimated value of an asset and the rationality of the agents. The interaction rules take into account the interplay of the agents with sources of public information, herding phenomena, and irrationality of the individuals. In the formal grazing collision limit, a nonlinear nonlocal Fokker-Planck equation with anisotropic (or incomplete) diffusion is derived. The existence of global-in-time weak solutions to the Fokker-Planck initial-boundary-value problem is proved. Numerical experiments for the Boltzmann equation highlight the importance of the reliability of public information in the formation of bubbles and crashes. The use of Bollinger bands in the simulations shows how herding may lead to strong trends with low volatility of the asset prices, but eventually also to abrupt corrections
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