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Sample records for modeling desired behaviors

  1. Reference Model of Desired Yaw Angle for Automated Lane Changing Behavior of Vehicle

    Institute of Scientific and Technical Information of China (English)

    Dianbo Ren; Guanzhe Zhang; Hangzhe Wu

    2016-01-01

    In this paper, it studies the problem of trajectory planning and tracking for lane changing behavior of vehicle in automatic highway systems. Based on the model of yaw angle acceleration with positive and negative trapezoid constraint, by analyzing the variation laws of yaw motion of vehicle during a lane changing maneuver, the reference model of desired yaw angle and yaw rate for lane changing is generated. According to the yaw angle model, the vertical and horizontal coordinates of trajectory for vehicle lane change are calculated. Assuming that the road curvature is a constant, the difference and associations between two scenarios are analyzed, the lane changing maneuvers occurred on curve road and straight road, respectively. On this basis, it deduces the calculation method of desired yaw angle for lane changing on circular road. Simulation result shows that, it is different from traditional lateral acceleration planning method with the trapezoid constraint, by applying the trapezoidal yaw acceleration reference model proposed in this paper, the resulting expected yaw angular acceleration is continuous, and the step tracking for steering angle is not needed to implement. Due to the desired yaw model is direct designed based on the variation laws of raw movement of vehicle during a lane changing maneuver, rather than indirectly calculated from the trajectory model for lane changing, the calculation steps are simplified.

  2. From desires to behavior: Moderating factors in a fertility transition

    Directory of Open Access Journals (Sweden)

    Sarah R. Hayford

    2012-05-01

    Full Text Available BACKGROUND Extensive research in both developed and developing countries has shown that preferences and intentions for future childbearing predict behavior. However, very little of this research has examined high-fertility contexts in sub-Saharan Africa. In particular, the factors that increase or decrease correspondence between fertility desires and behavior in these settings are not well understood. OBJECTIVE This article documents the degree to which the desire to stop childbearing predicts fertility behavior over the short term among married women in rural southern Mozambique, a context where fertility transition is still in the early stages. Analyses test the moderating powers of individual, household, and community characteristics. METHODS Analyses use data from a longitudinal survey of married women of reproductive age (N=1678 carried out in 2006 and 2009 in rural areas of southern Mozambique. Logistic regression models are estimated to predict childbearing between 2006 and 2009 based on desires to stop childbearing and characteristics measured in 2006. RESULTS As expected, the desire to stop childbearing is strongly predictive of fertility behavior. Household wealth, local adult AIDS mortality, and being married to an unsuccessful labor migrant are associated with higher correspondence between reported desire to stop childbearing and fertility behavior. CONCLUSIONS Both factors related to the ability to carry out desires to stop childbearing and factors related to the strength and consistency of these desires moderate the association between desires and behaviors. Future research should expand measurement of fertility preferences to incorporate their strength and consistency as well as direction.

  3. From desires to behavior: Moderating factors in a fertility transition.

    Science.gov (United States)

    Hayford, Sarah R; Agadjanian, Victor

    2012-05-31

    Extensive research in both developed and developing countries has shown that preferences and intentions for future childbearing predict behavior. However, very little of this research has examined high-fertility contexts in sub-Saharan Africa. In particular, the factors that increase or decrease correspondence between fertility desires and behavior in these settings are not well understood. This article documents the degree to which the desire to stop childbearing predicts fertility behavior over the short term among married women in rural southern Mozambique, a context where fertility transition is still in the early stages. Analyses test the moderating powers of individual, household, and community characteristics. Analyses use data from a longitudinal survey of married women of reproductive age (N=1678) carried out in 2006 and 2009 in rural areas of southern Mozambique. Logistic regression models are estimated to predict childbearing between 2006 and 2009 based on desires to stop childbearing and characteristics measured in 2006. As expected, the desire to stop childbearing is strongly predictive of fertility behavior. Household wealth, local adult AIDS mortality, and being married to an unsuccessful labor migrant are associated with higher correspondence between reported desire to stop childbearing and fertility behavior. Both factors related to the ability to carry out desires to stop childbearing and factors related to the strength and consistency of these desires moderate the association between desires and behaviors. Future research should expand measurement of fertility preferences to incorporate their strength and consistency as well as direction.

  4. Social desirability effects in driver behavior inventories.

    Science.gov (United States)

    Af Wåhlberg, A E

    2010-04-01

    The use of lie scales to control for common method variance in driver behavior inventories has been very limited. Given that such questionnaires often use self-reported safety variables as criteria, and have social implications, the risk of artefactual associations is high. A questionnaire containing scales from several well known driver inventories that have been claimed to predict traffic accident involvement was distributed three times to a group of young drivers in a driver education program, as well as a random group twice. The Driver Impression Management scale (DIM) was used to control for socially desirable responding. For all behavior scales, the correlation with the DIM scale was substantial. If a scale correlated with self-reported crashes, the amount of predictive power was more than halved when social desirability was controlled for. Results were similar for both samples and all waves. The predictive power of the behavior scales was not increased when values were averaged over questionnaire waves, as should have been the case if the measurement and predictive power were valid. Results were similar for self-reported penalty points. The present results indicate that even the most well-known and accepted psychometric scales used in driver research are susceptible to social desirability bias. As social desirability is only one of a number of common method variance mechanisms that can create artefactual associations, and the great popularity of the self-report methodology, the problem for traffic research is grave. Organizations that fund traffic safety research need to re-evaluate their policies regarding what methods are acceptable. The use of self-reported independent and dependent variables can lead to directly misleading results, with negative effects on traffic safety. Copyright 2010 National Safety Council and Elsevier Ltd. All rights reserved.

  5. Desire

    DEFF Research Database (Denmark)

    2017-01-01

    In this chapter I shall try to explain desire according to psychoanalysis (here primarily Sigmund Freud and Jacques Lacan), and why desire is also a concept for that which drives language, literature, and the reader. I hope to show what it means to focus on the dynamics of desire when analysing...

  6. Attitudes Towards Instructors, Social Desirability, and Behavioral Intentions.

    Science.gov (United States)

    Tobias, Sigmund; Hanlon, Robert E.

    This study examined whether student attitude toward instructors was related to subsequent behavior such as the behavioral intention to take further courses with that instructor, and whether social desirability affected this relationship. Students completed instructor rating and social desirability scales. Principal components analysis and varimax…

  7. Innovative application of a multidimensional item response model in assessing the influence of social desirability on the pseudo-relationship between self-efficacy and behavior

    Science.gov (United States)

    This study examined multidimensional item response theory (MIRT) modeling to assess social desirability (SocD) influences on self-reported physical activity self-efficacy (PASE) and fruit and vegetable self-efficacy (FVSE). The observed sample included 473 Houston-area adolescent males (10–14 years)...

  8. Perceived parental behavior and the social desirability response set.

    Science.gov (United States)

    Gooden, W E; Struble, K D

    1990-12-01

    The purpose of the present study was to investigate the potential effects of the social desirability response set as a confounding variable in research involving self-report measures of perceived parental behavior. Scores on the Marlowe-Crowne Social Desirability Scale (M-C SDS) were correlated with each of the three factors on the Bronfenbrenner Parental Behavior Scale (BPB): (1) Loving, (2) Punishing, and (3) Demanding. Fifty-eight young adults participated in the study; the sample included roughly equal numbers of black and white subjects, male and female subjects, and college students and other community residents. Scores were analyzed by sex of subject and sex of parent as well as in combined groups. Significant correlations (p<.05, p<.01) were obtained from female subjects on BPB factors 2 and 3. Implications for the BPB's validity and suggestions for future research are discussed.

  9. Flipping the Identity Coin: The Comparative Effect of Perceived, Projected and Desired Organizational Identity on Organizational Identification and Desired Behavior

    NARCIS (Netherlands)

    M.N. Elstak (Mirdita)

    2007-01-01

    textabstractIt is especially during times of uncertainty or change in an organization, that a major concern for organizational management is how to elicit and maintain a high degree of identification and desired behavior from their members. Traditionally, scholars have taken a "bottom-up approach" i

  10. Flipping the Identity Coin: The Comparative Effect of Perceived, Projected and Desired Organizational Identity on Organizational Identification and Desired Behavior

    NARCIS (Netherlands)

    M.N. Elstak (Mirdita)

    2007-01-01

    textabstractIt is especially during times of uncertainty or change in an organization, that a major concern for organizational management is how to elicit and maintain a high degree of identification and desired behavior from their members. Traditionally, scholars have taken a "bottom-up approach"

  11. Detecting Social Desirability Bias Using Factor Mixture Models

    Science.gov (United States)

    Leite, Walter L.; Cooper, Lou Ann

    2010-01-01

    Based on the conceptualization that social desirable bias (SDB) is a discrete event resulting from an interaction between a scale's items, the testing situation, and the respondent's latent trait on a social desirability factor, we present a method that makes use of factor mixture models to identify which examinees are most likely to provide…

  12. New theoretical framework for designing nonionic surfactant mixtures that exhibit a desired adsorption kinetics behavior.

    Science.gov (United States)

    Moorkanikkara, Srinivas Nageswaran; Blankschtein, Daniel

    2010-12-21

    How does one design a surfactant mixture using a set of available surfactants such that it exhibits a desired adsorption kinetics behavior? The traditional approach used to address this design problem involves conducting trial-and-error experiments with specific surfactant mixtures. This approach is typically time-consuming and resource-intensive and becomes increasingly challenging when the number of surfactants that can be mixed increases. In this article, we propose a new theoretical framework to identify a surfactant mixture that most closely meets a desired adsorption kinetics behavior. Specifically, the new theoretical framework involves (a) formulating the surfactant mixture design problem as an optimization problem using an adsorption kinetics model and (b) solving the optimization problem using a commercial optimization package. The proposed framework aims to identify the surfactant mixture that most closely satisfies the desired adsorption kinetics behavior subject to the predictive capabilities of the chosen adsorption kinetics model. Experiments can then be conducted at the identified surfactant mixture condition to validate the predictions. We demonstrate the reliability and effectiveness of the proposed theoretical framework through a realistic case study by identifying a nonionic surfactant mixture consisting of up to four alkyl poly(ethylene oxide) surfactants (C(10)E(4), C(12)E(5), C(12)E(6), and C(10)E(8)) such that it most closely exhibits a desired dynamic surface tension (DST) profile. Specifically, we use the Mulqueen-Stebe-Blankschtein (MSB) adsorption kinetics model (Mulqueen, M.; Stebe, K. J.; Blankschtein, D. Langmuir 2001, 17, 5196-5207) to formulate the optimization problem as well as the SNOPT commercial optimization solver to identify a surfactant mixture consisting of these four surfactants that most closely exhibits the desired DST profile. Finally, we compare the experimental DST profile measured at the surfactant mixture condition

  13. A Discrete Velocity Traffic Kinetic Model Including Desired Speed

    Directory of Open Access Journals (Sweden)

    Shoufeng Lu

    2013-05-01

    Full Text Available We introduce the desired speed variable into the table of games and formulate a new table of games and the corresponding discrete traffic kinetic model. We use the hybrid programming technique of VB and MATLAB to develop the program. Lastly, we compared the proposed model result and the detector data. The results show that the proposed model can describe the traffic flow evolution.

  14. Social Desirability and Behavior Rating Scales: An Exploratory Study with the Child Behavior Checklist/4-18

    Science.gov (United States)

    Merydith, Scott P.; Prout, H. Thompson; Blaha, John

    2003-01-01

    This study investigated the relationship between the Child Behavior Checklist/4-18 (CBCL/4-18) and two modified measures of social desirability, the Marlowe-Crowne Social Desirability Scale and the Edwards Social Desirability Scale with a sample of 65 parents of normal children from grades K-7. Results from correlational and multiple regression…

  15. Markov decision processes and the belief-desire-intention model

    CERN Document Server

    Simari, Gerardo I

    2011-01-01

    In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief DesireIntention (BDI) model and Markov Decision Processes (MDPs). We start with an informal description of the relationship, identifying the common features of the two approaches and the differences between them. Then we hone our understanding of these differences through an empirical analysis of the performance of both models on the TileWorld testbed. This allows us to show that even though the MDP model displays consistently better beha

  16. Getting what you want: How fit between desired and received leader sensitivity influences emotion and counterproductive work behavior.

    Science.gov (United States)

    Rupprecht, Elizabeth A; Kueny, Clair Reynolds; Shoss, Mindy K; Metzger, Andrew J

    2016-10-01

    We challenge the intuitive belief that greater leader sensitivity is always associated with desirable outcomes for employees and organizations. Specifically, we argue that followers' idiosyncratic desires for, and perceptions of, leader sensitivity behaviors play a key role in how followers react to their leader's sensitivity. Moreover, these resulting affective experiences are likely to have important consequences for organizations, specifically as they relate to employee counterproductive work behavior (CWB). Drawing from supplies-values (S-V) fit theory and the stressor-emotion model of CWB, the current study focuses on the affective and behavioral consequences of fit between subordinates' ideal leader sensitivity behavior preferences and subordinates' perceptions of their actual leader's sensitivity behaviors. Polynomial regression analyses reveal that congruence between ideal and actual leader sensitivity influences employee negative affect and, consequently, engagement in counterproductive work behavior. (PsycINFO Database Record

  17. A cellular automata traffic flow modeling of desired speed variability

    Institute of Scientific and Technical Information of China (English)

    K.Bentaleb; K.Jetto; H.Ez-Zahraouy; A.Benyoussef

    2013-01-01

    The satisfaction rate of desired velocity in the case of a mixture of fast and slow vehicles is studied by using a cellular automaton method.It is found that at low density the satisfaction rate depends on the maximal velocity.However,the behavior of the satisfaction rate as a function of the coefficient of variance is independent of the maximal velocity.This is in good agreement with empirical results obtained by Lipshtat [Phys.Rev.E 79 066110 (2009)].Furthermore,our numerical result demonstrates that at low density the satisfaction rate takes higher values,whereas the coefficient of variance is close to zero.The coefficient of variance increases with increasing density,while the satisfaction rate decreases to zero.Moreover,we have also shown that,at low density the coefficient variance depends strongly on the probability of overtaking.

  18. Family Sex Communication and the Sexual Desire, Attitudes, and Behavior of Late Adolescents

    Science.gov (United States)

    Zamboni, Brian D.; Silver, Rachel

    2009-01-01

    Parental sex education might promote healthy sexual behavior among adolescents, but some parents assume that family communication about sex will lead to sexual activity. Family sex communication has been studied with a limited range of adolescent sexual behaviors but not sexual fantasy or desire. Two measures of family sex communication were…

  19. Neural Substrates of Sexual Desire in Individuals with Problematic Hypersexual Behavior

    Science.gov (United States)

    Seok, Ji-Woo; Sohn, Jin-Hun

    2015-01-01

    Studies on the characteristics of individuals with hypersexual disorder have been accumulating due to increasing concerns about problematic hypersexual behavior (PHB). Currently, relatively little is known about the underlying behavioral and neural mechanisms of sexual desire. Our study aimed to investigate the neural correlates of sexual desire with event-related functional magnetic resonance imaging (fMRI). Twenty-three individuals with PHB and 22 age-matched healthy controls were scanned while they passively viewed sexual and nonsexual stimuli. The subjects' levels of sexual desire were assessed in response to each sexual stimulus. Relative to controls, individuals with PHB experienced more frequent and enhanced sexual desire during exposure to sexual stimuli. Greater activation was observed in the caudate nucleus, inferior parietal lobe, dorsal anterior cingulate gyrus, thalamus, and dorsolateral prefrontal cortex in the PHB group than in the control group. In addition, the hemodynamic patterns in the activated areas differed between the groups. Consistent with the findings of brain imaging studies of substance and behavior addiction, individuals with the behavioral characteristics of PHB and enhanced desire exhibited altered activation in the prefrontal cortex and subcortical regions. In conclusion, our results will help to characterize the behaviors and associated neural mechanisms of individuals with PHB. PMID:26648855

  20. Neural substrates of sexual desire in individuals with problematic hypersexual behavior

    Directory of Open Access Journals (Sweden)

    Ji-Woo eSeok

    2015-11-01

    Full Text Available Studies on the characteristics of individuals with hypersexual disorder have been accumulating due to increasing concerns about problematic hypersexual behavior (PHB. Currently, relatively little is known about the underlying behavioral and neural mechanisms of sexual desire. Our study aimed to investigate the neural correlates of sexual desire with event-related functional magnetic resonance imaging (fMRI. Twenty-three individuals with PHB and 22 age-matched healthy controls were scanned while they passively viewed sexual and nonsexual stimuli. The subjects’ levels of sexual desire were assessed in response to each sexual stimulus. Relative to controls, individuals with PHB experienced more frequent and enhanced sexual desire during exposure to sexual stimuli. Greater activation was observed in the caudate nucleus, inferior parietal lobe, dorsal anterior cingulate gyrus, thalamus, and dorsolateral prefrontal cortex in the PHB group than in the control group. In addition, the hemodynamic patterns in the activated areas differed between the groups. Consistent with the findings of brain imaging studies of substance and behavior addiction, individuals with the behavioral characteristics of PHB and enhanced desire exhibited altered activation in the prefrontal cortex and subcortical regions. In conclusion, our results will help to characterize the behaviors and associated neural mechanisms of individuals with PHB.

  1. Social Desirability and Self-Reports: Testing a Content and Response-Style Model of Socially Desirable Responding

    Directory of Open Access Journals (Sweden)

    Arta Dodaj

    2012-11-01

    Full Text Available Personality assessment as a pre-employment screening procedure receives great interest from both researchers and practitioners. One key concern for selection specialists is represented by the response distortion among job applicants completing personality inventories. There are different operationalizations of socially desirable responding. One of the most accepted operationalizations was provided by Paulhus who distinguished between two social desirability factors (the egoistic and moralistic bias as well as their conscious and unconscious aspects (management and enhancement. The aim of the study reported here is to test the basic assumption of the Paulhus model of socially desirable responding. A convenience sample of 200 students (N = 21.61; SD = 1.46 completed the Comprehensive Inventory of Desirable Responding (Paulhus, 2006 and the International Personality Item Pool Questionnaire (Goldberg, 1999; by Goldberg et al., 2006. Questionnaires were applied in three conditions: honest responding, responding as an ideal manager job applicant, and as an ideal teacher applicant. Results give partial support to the existence of egoistic and moralistic bias. However, conscious and unconscious aspects of distortion were not found. In conclusion it could be said that Paulhus’ model doesn’t provide a full answer to the problem of the nature of socially desirable responding.

  2. Social desirability bias in diary panels is evident in panelists' behavioral frequency.

    Science.gov (United States)

    Toh, Rex S; Lee, Eunkyu; Hu, Michael Y

    2006-10-01

    The purpose was to analyze a large-scale database, a national sample of 1108 heads of households collected by AT&T, to show that behavioral frequencies of the activities of consumer diary panelists may regress toward the population mean during the diary-keeping period given social desirability bias produced by the conditioning effect of keeping diaries. This effect is distinguished from regression toward the mean, a statistical phenomenon reflecting happenstance of extreme initial values. Social desirability bias is demonstrated in two ways-by observing decreasing coefficients of variation over time and by detecting a greater proportion of panelists' behavioral frequencies moving toward the population mean than moving away from it. Both cannot be explained by regression toward the mean. Social desirability bias was manifest only during the early stages of the diary-keeping period and only for activities high in involvement. The presence of social desirability bias in diary panels implies that, when people are subjected to observation, diary observations may be contaminated, leading to the mistaken impression that the population is more homogeneous than it actually is. Thus it is important for researchers to monitor the diary panel carefully to detect social desirability bias when engaged in longitudinal studies.

  3. Validating the effects of social desirability on self-reported condom use behavior among commercial sex workers.

    Science.gov (United States)

    Morisky, Donald E; Ang, Alfonso; Sneed, Carl D

    2002-10-01

    Most studies on the transmission of HIV depend upon self-reports of risky behaviors. This study examines if there is social desirability bias with respect to self-reported condom use behavior, assesses the reliability of a self-reported condom use scale, and validates the self-reported findings with clinical sexually transmitted infection (STI) diagnosis for commercial sex workers (N = 1,383) in the Philippines. The reliability of the condom use scale is .81, and results from confirmatory factor analysis indicate that the data fit the model well. Sex workers who reported using condoms consistently had significantly lower rates of sexually transmitted infections compared to those who never used a condom (t = 7.79, p social desirability bias existed with the self-reported condom use scale. Furthermore, the condom use measure was found to have a high level of concurrent validity with STI outcomes.

  4. Social desirability and self-reported health risk behaviors in web-based research: three longitudinal studies

    Directory of Open Access Journals (Sweden)

    Göritz Anja S

    2010-11-01

    Full Text Available Abstract Background These studies sought to investigate the relation between social desirability and self-reported health risk behaviors (e.g., alcohol use, drug use, smoking in web-based research. Methods Three longitudinal studies (Study 1: N = 5612, 51% women; Study 2: N = 619, 60%; Study 3: N = 846, 59% among randomly selected members of two online panels (Dutch; German using several social desirability measures (Marlowe-Crowne Scale; Balanced Inventory of Desirable Responding; The Social Desirability Scale-17 were conducted. Results Social desirability was not associated with self-reported current behavior or behavior frequency. Socio-demographics (age; sex; education did not moderate the effect of social desirability on self-reported measures regarding health risk behaviors. Conclusions The studies at hand provided no convincing evidence to throw doubt on the usefulness of the Internet as a medium to collect self-reports on health risk behaviors.

  5. Social desirability and self-reported health risk behaviors in web-based research: three longitudinal studies.

    Science.gov (United States)

    Crutzen, Rik; Göritz, Anja S

    2010-11-23

    These studies sought to investigate the relation between social desirability and self-reported health risk behaviors (e.g., alcohol use, drug use, smoking) in web-based research. Three longitudinal studies (Study 1: N = 5612, 51% women; Study 2: N = 619, 60%; Study 3: N = 846, 59%) among randomly selected members of two online panels (Dutch; German) using several social desirability measures (Marlowe-Crowne Scale; Balanced Inventory of Desirable Responding; The Social Desirability Scale-17) were conducted. Social desirability was not associated with self-reported current behavior or behavior frequency. Socio-demographics (age; sex; education) did not moderate the effect of social desirability on self-reported measures regarding health risk behaviors. The studies at hand provided no convincing evidence to throw doubt on the usefulness of the Internet as a medium to collect self-reports on health risk behaviors.

  6. Modeling the desired direction in a force-based model for pedestrian dynamics

    CERN Document Server

    Chraibi, Mohcine; Schadschneider, Andreas; Seyfried, Armin

    2012-01-01

    We introduce an enhanced model based on the generalized centrifugal force model. Furthermore, the desired direction of pedestrians is investigated. A new approach leaning on the well-known concept of static and dynamic floor-fields in cellular automata is presented. Numerical results of the model are presented and compared with empirical data.

  7. A new multi-anticipative car-following model with consideration of the desired following distance

    OpenAIRE

    Chen, J.; Liu, R.; Ngoduy, D; Shi, Z.

    2016-01-01

    We propose in this paper an extension of the multi-anticipative optimal velocity car-following model to consider explicitly the desired following distance. The model on the following vehicle’s acceleration is formulated as a linear function of the optimal velocity and the desired distance, with reaction-time delay in elements. The linear stability condition of the model is derived. The results demonstrate that the stability of traffic flow is improved by introducing the desired following dist...

  8. Affect, Behavior, Cognition, and Desire in the Big Five: An Analysis of Item Content and Structure

    Science.gov (United States)

    Wilt, Joshua; Revelle, William

    2015-01-01

    Personality psychology is concerned with affect (A), behavior (B), cognition (C) and desire (D), and personality traits have been defined conceptually as abstractions used to either explain or summarize coherent ABC (and sometimes D) patterns over time and space. However, this conceptual definition of traits has not been reflected in their operationalization, possibly resulting in theoretical and practical limitations to current trait inventories. Thus, the goal of this project was to determine the affective, behavioral, cognitive and desire (ABCD) components of Big-Five personality traits. The first study assessed the ABCD content of items measuring Big-Five traits in order to determine the ABCD composition of traits and identify items measuring relatively high amounts of only one ABCD content. The second study examined the correlational structure of scales constructed from items assessing ABCD content via a large, web-based study. An assessment of Big-Five traits that delineates ABCD components of each trait is presented, and the discussion focuses on how this assessment builds upon current approaches of assessing personality. PMID:26279606

  9. Social desirability and self-reported health risk behaviors in web-based research: three longitudinal studies

    OpenAIRE

    Göritz Anja S; Crutzen Rik

    2010-01-01

    Abstract Background These studies sought to investigate the relation between social desirability and self-reported health risk behaviors (e.g., alcohol use, drug use, smoking) in web-based research. Methods Three longitudinal studies (Study 1: N = 5612, 51% women; Study 2: N = 619, 60%; Study 3: N = 846, 59%) among randomly selected members of two online panels (Dutch; German) using several social desirability measures (Marlowe-Crowne Scale; Balanced Inventory of Desirable Responding; The Soc...

  10. Circular and linear modeling of female sexual desire and arousal.

    Science.gov (United States)

    Hayes, Richard D

    2011-03-01

    There is debate in the scientific literature regarding which model most accurately represents the female sexual response. Traditionally, sex research has been conducted within the framework of the linear sexual response model proposed by Masters and Johnson, modified by Kaplan, then Robinson. Criticism of linear models prompted the development of a composite model of the female sexual response by Basson et al., which included linear and circular pathways. This review aims to systematically assess published studies to determine the extent to which circular and linear models or pathways reflect the female sexual response. Medline, EMBASE, and PsychINFO databases were searched for original data papers and review articles. Inclusion criteria were that articles were published since 1990, in English, and compared linear and circular sexual response models or addressed aspects of these models. Reviews were required to be systematic and include a meta-analysis. Of the 898 studies identified through the initial literature search, 13 original studies and one review met the inclusion criteria. Two studies directly compared models providing limited evidence that most women identify with linear sexual response pathways. However, there is increasing evidence that circular pathways may accurately reflect some aspects of the female sexual response. Further comparative studies are encouraged.

  11. Desirable role in an international duopoly model with tariffs

    Science.gov (United States)

    Ferreira, Fernanda A.; Ferreira, Flávio

    2012-09-01

    In this paper, we study an international market model in which the home government imposes a tariff on the imported goods. The model has two stages. In the first stage, the home government chooses an import tariff to maximize a function that cares about the home firm's profit and the total revenue. Then, the firms engage in a Cournot or in a Stackelberg competition. We compare the results obtained in the three different ways of moving on the decision make of the firms.

  12. Markov decision processes and the belief-desire-intention model bridging the gap for autonomous agents

    CERN Document Server

    Simari, Gerardo I

    2011-01-01

    In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief DesireIntention (BDI) model and Markov Decision Processes (MDPs). We start with an informal description of the relationship, identifying the common features of the two approaches and the differences between them. Then we hone our understanding of these differences through an empirical analysis of the performance of both models on the TileWorld testbed. This allows us to show that even though the MDP model displays consistently better behavior than the BDI model for small worlds, this is not the case when the world becomes large and the MDP model cannot be solved exactly. Finally we present a theoretical analysis of the relationship between the two approaches, identifying mappings that allow us to extract a set of intentions from a policy (a solution to an MDP), and to extract a policy from a set of intentions.

  13. Female Same-Sex Sexuality from a Dynamical Systems Perspective: Sexual Desire, Motivation, and Behavior

    Science.gov (United States)

    Farr, Rachel H.; Diamond, Lisa M.; Boker, Steven M.

    2014-01-01

    Fluidity in attractions and behaviors among same-sex attracted women has been well-documented, suggesting the appropriateness of dynamical systems modeling of these phenomena over time. As dynamical systems modeling offer an approach to explaining the patterns of complex phenomena, it may be apt for explaining variability in female same-sex sexuality. The present research is the first application of this analytical approach to such data. Dynamical systems modeling, and specifically generalized local linear approximation modeling, was used to fit daily diary data on same-sex attractions and behaviors over a 21 day period among a group of 33 sexual minority women characterized as lesbian, bisexual or “fluid” based on their identity histories. Daily measures of women’s reported same-sex attractions were fit using a linear oscillator model and its parameters estimated the cyclicity in these attractions. Results supported the existence of a “core sexual orientation” for women in this sample, regardless of how they identified and despite a high degree of variability in daily same-sex attractions. Thus, modeling individual differences in the variability of attractions and behaviors of sexual minority women may be critical to furthering our understanding of female same-sex sexuality and human sexual orientation more broadly. PMID:25193132

  14. More than a list of values and desired behaviors: a foundational understanding of medical professionalism.

    Science.gov (United States)

    Wynia, Matthew K; Papadakis, Maxine A; Sullivan, William M; Hafferty, Frederic W

    2014-05-01

    The term "professionalism" has been used in a variety of ways. In 2012, the American Board of Medical Specialties (ABMS) Standing Committee on Ethics and Professionalism undertook to develop an operational definition of professionalism that would speak to the variety of certification and maintenance-of-certification activities undertaken by ABMS and its 24 member boards. In the course of this work, the authors reviewed prior definitions of professions and professionalism and found them to be largely descriptive, or built around lists of proposed professional attributes, values, and behaviors. The authors argue that while making lists of desirable professional characteristics is necessary and useful for teaching and assessment, it is not, by itself, sufficient either to fully define professionalism or to capture its social functions. Thus, the authors sought to extend earlier work by articulating a definition that explains professionalism as the motivating force for an occupational group to come together and create, publicly profess, and develop reliable mechanisms to enforce shared promises-all with the purpose of ensuring that practitioners are worthy of patients' and the public's trust.Using this framework, the authors argue that medical professionalism is a normative belief system about how best to organize and deliver health care. Believing in professionalism means accepting the premise that health professionals must come together to continually define, debate, declare, distribute, and enforce the shared competency standards and ethical values that govern their work. The authors identify three key implications of this new definition for individual clinicians and their professional organizations.

  15. Grounding desire and motivated behavior: A theoretical framework and review of empirical evidence

    NARCIS (Netherlands)

    Papies, E.K.; Barsalou, L.W.

    2015-01-01

    Experiencing and dealing with desire is a central part of human existence. Whether it is for food, drink, sex, fame, social connectedness, or world peace, our desires shape and energize much of our daily life. A large literature, especially in social and health psychology, has focused on the ways in

  16. Grounding desire and motivated behavior: A theoretical framework and review of empirical evidence

    NARCIS (Netherlands)

    Papies, E.K.; Barsalou, L.W.

    2015-01-01

    Experiencing and dealing with desire is a central part of human existence. Whether it is for food, drink, sex, fame, social connectedness, or world peace, our desires shape and energize much of our daily life. A large literature, especially in social and health psychology, has focused on the ways in

  17. Using a digital game for training desirable behavior in cognitive-behavioral therapy of burnout syndrome: a controlled study.

    Science.gov (United States)

    Zielhorst, Thomas; van den Brule, Daphne; Visch, Valentijn; Melles, Marijke; van Tienhoven, Sam; Sinkbaek, Helle; Schrieken, Bart; Tan, Eduard S-H; Lange, Alfred

    2015-02-01

    Burnout is a globally increasing illness, and as a result, many forms of burnout therapy have arisen. The use of digital games can be psychotherapeutically effective because they can transform exercises that are by themselves unattractive into intrinsically motivated action. This pilot study aims to test whether a specially designed game contributes to patients learning desired behavior and achieving other specific therapeutic goals in an online cognitive-behavioral therapy (CBT)-based burnout treatment context. In total, 101 participants took part in the experiment, under four conditions: (a) Game+Therapy, (b) Therapy Only, (c) Game Only, and (d) No Game+No Therapy. Pre- and postmeasures were taken online. Results showed that the two therapy conditions (Game+Therapy and Therapy Only) showed a greater decrease in complaints and disengagement, and a stronger increase in coping skills than the nontherapy conditions (Game Only and No Game+No Therapy). As expected, the Game+Therapy condition outperformed the Therapy Only condition on combined improvement measures of burnout symptoms. However, analyses of individual measures showed no effects. It can be cautiously concluded that the therapeutic digital game may be a useful tool when embedded in a therapeutic burnout treatment program and is probably more efficient than CBT, as it is used in current practice.

  18. Symptom reporting in cancer patients II: relations to social desirability, negative affect, and self-reported health behaviors.

    Science.gov (United States)

    Koller, M; Heitmann, K; Kussmann, J; Lorenz, W

    1999-10-15

    Patients' appraisal of somatic symptoms is correlated with their negative affect. The authors have investigated whether social desirability is associated with patients' symptom and health behavior reporting. One hundred fourteen surgical cancer patients who participated in either an outpatient or an inpatient follow-up care program filled out the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30, the New Social Desirability Scale, and a health behavior checklist. Patients' reports of somatic symptoms were correlated inversely with social desirability (r = -0.50) and positively with negative affect (r = 0.72). When objective health and demographic variables (e.g., prognosis, adjuvant therapy prior to follow-up, and gender) were entered first in hierarchical multiple regression analyses, social desirability and negative affect accounted for an additional 16% and 36% of the symptom variance, respectively. Similar results were found when global quality of life was the dependent variable. Self-reported health behaviors were explained only through the set of health and demographic variables (14%), and social desirability and negative affect did not account for additional variance. On the average, patients reported that they had a median of 4.7 (out of a list of 21) self-initiated health behaviors, and 11% of the patients admitted to having used unproven therapies. Symptom reports do not give a pure picture of patients' health status, but they are strongly correlated with social desirability and negative affect. Detection of such psychologic variables is essential to understanding the dynamics of quality of life. In applied settings, quality-of-life measures should be used together with conventional criteria. As practical experience and scientific understanding grow, the relative positioning of these patient-oriented versus clinic-oriented endpoints will become clear. Copyright 1999 American Cancer Society.

  19. Traffic stability of a car-following model considering driver’s desired velocity

    Science.gov (United States)

    Zhang, Geng; Sun, Di-Hua; Liu, Wei-Ning; Liu, Hui

    2015-07-01

    In this paper, a new car-following model is proposed by considering driver’s desired velocity according to Transportation Cyber Physical Systems. The effect of driver’s desired velocity on traffic flow has been investigated through linear stability theory and nonlinear reductive perturbation method. The linear stability condition shows that driver’s desired velocity effect can enlarge the stable region of traffic flow. From nonlinear analysis, the Burgers equation and mKdV equation are derived to describe the evolution properties of traffic density waves in the stable and unstable regions respectively. Numerical simulation is carried out to verify the analytical results, which reveals that traffic congestion can be suppressed efficiently by taking driver’s desired velocity effect into account.

  20. A Model of Desired Performance in Phylogenetic Tree Construction for Teaching Evolution.

    Science.gov (United States)

    Brewer, Steven D.

    This research paper examines phylogenetic tree construction-a form of problem solving in biology-by studying the strategies and heuristics used by experts. One result of the research is the development of a model of desired performance for phylogenetic tree construction. A detailed description of the model and the sample problems which illustrate…

  1. Subjective Age in Early Adolescence: Relationships with Chronological Age, Pubertal Timing, Desired Age, and Problem Behaviors

    Science.gov (United States)

    Hubley, Anita M.; Arim, Rubab G.

    2012-01-01

    Subjective age generally refers to the age that one feels. In a cross-sectional questionnaire study of 245 adolescents ages 10-14 years, we examined (a) whether, and when, a cross-over in subjective age occurs, (b) differences in subjective age among pubertal timing groups, (c) correlations between subjective age and each of desired age and five…

  2. Developing Reflective Thinking Instructional Model for Enhancing Students' Desirable Learning Outcomes

    Science.gov (United States)

    Porntaweekul, Satjatam; Raksasataya, Sarintip; Nethanomsak, Teerachai

    2016-01-01

    This work aims to investigate the reflective thinking instructional model for enhancing empowerment of pre-service and in-service educational students in Roi-Et Rajabhat University, Thailand. In this research, qualitative methods, observation, interview, short note, and group discussion were used to indicate students' desirable learning outcomes,…

  3. Distraction, the desire to eat and food intake. Towards an expanded model of mindless eating.

    Science.gov (United States)

    Ogden, Jane; Coop, Nicola; Cousins, Charlotte; Crump, Rebecca; Field, Laura; Hughes, Sarah; Woodger, Nigel

    2013-03-01

    This study compared the impact of different forms of distraction on eating behaviour with a focus on the mechanisms behind this association and the link between the amount consumed and changes in the desire to eat. Participants (n=81) were randomly allocated to four conditions: driving, television viewing, social interaction or being alone in which they took part in a taste test. Measures of the desire to eat (i.e. Hunger, fullness, motivation to eat) were assessed before and after the intervention. The results showed that those watching television consumed more than the social or driving conditions. Food intake was associated with a decreased desire to eat for those eating alone, but was unrelated to changes in the desire to eat for those driving. Watching television also created a decrease in the desire to eat commensurate with food intake whereas social eating resulted in the reverse relationship. The results are discussed in terms an expanded model of mindless eating and it is argued that eating more requires not only distraction away from the symptom of hunger but also sufficient cognitive capacity left to attend to the process of eating.

  4. How the brain predicts people's behavior in relation to rules and desires. Evidence of a medio-prefrontal dissociation.

    Science.gov (United States)

    Corradi-Dell'Acqua, Corrado; Turri, Francesco; Kaufmann, Laurence; Clément, Fabrice; Schwartz, Sophie

    2015-09-01

    Forming and updating impressions about others is critical in everyday life and engages portions of the dorsomedial prefrontal cortex (dMPFC), the posterior cingulate cortex (PCC) and the amygdala. Some of these activations are attributed to "mentalizing" functions necessary to represent people's mental states, such as beliefs or desires. Evolutionary psychology and developmental studies, however, suggest that interpersonal inferences can also be obtained through the aid of deontic heuristics, which dictate what must (or must not) be done in given circumstances. We used fMRI and asked 18 participants to predict whether unknown characters would follow their desires or obey external rules. Participants had no means, at the beginning, to make accurate predictions, but slowly learned (throughout the experiment) each character's behavioral profile. We isolated brain regions whose activity changed during the experiment, as a neural signature of impression updating: whereas dMPFC was progressively more involved in predicting characters' behavior in relation to their desires, the medial orbitofrontal cortex and the amygdala were progressively more recruited in predicting rule-based behavior. Our data provide evidence of a neural dissociation between deontic inference and theory-of-mind (ToM), and support a differentiation of orbital and dorsal prefrontal cortex in terms of low- and high-level social cognition.

  5. The Effect of Cognitive-Behavioral Teaching on Improvement of Women's Sexual Function with Hypoactive Sexual Desire Disorder

    Directory of Open Access Journals (Sweden)

    Najme-Sadat Hajivosough

    2012-10-01

    Full Text Available Background: Hypoactive sexual desire disorder as the most prevalent sexual dysfunction has a major role in marital relationships. The purpose of this study was to determine the effect of cognitive-behavioral teaching on improvement of women sexual function.Materials and Methods: In this semi experimental study, the sample size were 30 women that 15 were randomly selected for each experimental and control group of women with hypoactive sexual desire. At first the pretest was carried out in both groups and then the experimental group was thought for 10 sessions. At the end the posttest was carried out in the groups. The data were analyzed by SPSS-15 software and differential independent t test.Results: There was a significant difference between mean of differential scores of both groups sexual function that suggests a significant impact of the educational program on improvement of sexual function in women with hypoactive sexual desire (p=0.01. Conclusion: It is recommended to use these teachings by specialist into therapeutic program of women with hypoactive sexual desire disorder.

  6. A Model of Female Sexual Desire: Internalized Working Models of Parent-Child Relationships and Sexual Body Self-Representations.

    Science.gov (United States)

    Cherkasskaya, Eugenia; Rosario, Margaret

    2017-01-24

    The etiology of low female sexual desire, the most prevalent sexual complaint in women, is multi-determined, implicating biological and psychological factors, including women's early parent-child relationships and bodily self-representations. The current study evaluated a model that hypothesized that sexual body self-representations (sexual subjectivity, self-objectification, genital self-image) explain (i.e., mediate) the relation between internalized working models of parent-child relationships (attachment, separation-individuation, parental identification) and sexual desire in heterosexual women. We recruited 614 young, heterosexual women (M = 25.5 years, SD = 4.63) through social media. The women completed an online survey. Structural equation modeling was used. The hypotheses were supported in that the relation between internalized working models of parent-child relationships (attachment and separation-individuation) and sexual desire was mediated by sexual body self-representations (sexual body esteem, self-objectification, genital self-image). However, parental identification was not related significantly to sexual body self-representations or sexual desire in the model. Current findings demonstrated that understanding female sexual desire necessitates considering women's internalized working models of early parent-child relationships and their experiences of their bodies in a sexual context. Treatment of low or absent desire in women would benefit from modalities that emphasize early parent-child relationships as well as interventions that foster mind-body integration.

  7. Robustness of Control System Tuned by Multiple Dominant Pole Method and Desired Model Method

    Directory of Open Access Journals (Sweden)

    Miloslav SPURNÝ

    2011-06-01

    Full Text Available In the article two analytical analog controller PI tuning methods are shortly described and compared from the point of view of the control system robustness for the first order plus time delay plant. For comparison the multiple dominant pole method and the desired model method were chosen.The program Matlab/Simulink for verification of the control system robustness was used.

  8. ATTITUDES AND PERCEPTIONS OF DESIRABLE TRAITS AND BEHAVIORS OF TEACHERS. FINAL REPORT.

    Science.gov (United States)

    KERLINGER, FRED N.; PEDHAZUR, ELAZAR J.

    IN A STUDY THAT WAS PRIMARILY CORRELATIONAL IN NATURE, RELATIONSHIPS BETWEEN EVALUATORS' ATTITUDES TOWARD EDUCATION AND PERCEPTIONS OF TEACHING BEHAVIOR WERE DETERMINED BY ADMINISTERING QUESTIONNAIRES TO OVER 3,000 ELEMENTARY AND SECONDARY TEACHERS AND GRADUATE STUDENTS OF EDUCATION FROM INDIANA, MICHIGAN, NEW YORK, NORTH CAROLINA, TEXAS, AND…

  9. Bullying as strategic behavior : Relations with desired and acquired dominance in the peer group

    NARCIS (Netherlands)

    Olthof, Tjeert; Goossens, Frits A.; Vermande, Marjolijn M.; Aleva, Elisabeth A.; van der Meulen, Matty

    To examine whether bullying is strategic behavior aimed at obtaining or maintaining social dominance, 1129 9- to 12-year-old Dutch children were classified in terms of their role in bullying and in terms of their use of dominance oriented coercive and prosocial social strategies. Multi-informant

  10. Bullying as Strategic Behavior: Relations with Desired and Acquired Dominance in the Peer Group

    Science.gov (United States)

    Olthof, Tjeert; Goossens, Frits A.; Vermande, Marjolijn M.; Aleva, Elisabeth A.; van der Meulen, Matty

    2011-01-01

    To examine whether bullying is strategic behavior aimed at obtaining or maintaining social dominance, 1129 9- to 12-year-old Dutch children were classified in terms of their role in bullying and in terms of their use of dominance oriented coercive and prosocial social strategies. Multi-informant measures of participants' acquired and desired…

  11. Bullying as strategic behavior : Relations with desired and acquired dominance in the peer group

    NARCIS (Netherlands)

    Olthof, Tjeert; Goossens, Frits A.; Vermande, Marjolijn M.; Aleva, Elisabeth A.; van der Meulen, Matty

    2011-01-01

    To examine whether bullying is strategic behavior aimed at obtaining or maintaining social dominance, 1129 9- to 12-year-old Dutch children were classified in terms of their role in bullying and in terms of their use of dominance oriented coercive and prosocial social strategies. Multi-informant mea

  12. A minisum model with forbidden regions for locating a semi-desirable facility in the plane

    DEFF Research Database (Denmark)

    Juel, Henrik; Brimberg, Jack

    1998-01-01

    Most facilities in today's technological society may be classified as semi-desirable. That is, the facility provides a benefit or service to society, while adversely affecting the quality of life or social values in a number of possible ways. The paper proposes a location model for a new semi......-desirable facility that accounts for the service costs by a standard minisum objective with arbitrary travel distance function. The social costs are imputed by specifying around each demand point or population center a convex forbidden region, also defined by an arbitrary distance metric, in which the new facility...... may not be located. A general solution algorithm is suggested, and the methodology is applied to circular forbidden regions and special travel distance functions....

  13. A minisum model with forbidden regions for locating a semi-desirable facility in the plane

    DEFF Research Database (Denmark)

    Brimberg, Jack; Juel, Henrik

    Most facilities in today's technological society may be classified as semi-desirable. That is, the facility provides a benefit or service to society, while adversely affecting the quality of life or social values in a number of possible ways. The paper proposes a location model for a new semi......-desirable facility which accounts for the service costs by a standard minisum objective with arbitrary travel distance function. The social costs are imputed by specifying around each demand point or population center a convex forbidden region, also defined by an arbitrary distance metric, in which the new facility...... may not be located. A general solution algorithm is suggested, and the methodology applied to circular forbidden regions and special travel distance functions....

  14. Topology of sustainable management in dynamical Earth system models with desirable states

    Science.gov (United States)

    Heitzig, J.; Kittel, T.

    2015-03-01

    To keep the Earth system in a desirable region of its state space, such as the recently suggested "tolerable environment and development window", "planetary boundaries", or "safe (and just) operating space", one not only needs to understand the quantitative internal dynamics of the system and the available options for influencing it (management), but also the structure of the system's state space with regard to certain qualitative differences. Important questions are: which state space regions can be reached from which others with or without leaving the desirable region? Which regions are in a variety of senses "safe" to stay in when management options might break away, and which qualitative decision problems may occur as a consequence of this topological structure? In this article, as a complement to the existing literature on optimal control which is more focussed on quantitative optimization and is much applied in both the engineering and the integrated assessment literature, we develop a mathematical theory of the qualitative topology of the state space of a dynamical system with management options and desirable states. We suggest a certain terminology for the various resulting regions of the state space and perform a detailed formal classification of the possible states with respect to the possibility of avoiding or leaving the undesired region. Our results indicate that before performing some form of quantitative optimization, the sustainable management of the Earth system may require decisions of a more discrete type that come in the form of several dilemmata, e.g., choosing between eventual safety and uninterrupted desirability, or between uninterrupted safety and increasing flexibility. We illustrate the concepts and dilemmata with conceptual models from classical mechanics, climate science, ecology, economics, and coevolutionary Earth system modelling and discuss their potential relevance for the climate and sustainability debate.

  15. The effect of family sex composition on fertility desires and family planning behaviors in urban Uttar Pradesh, India.

    Science.gov (United States)

    Calhoun, Lisa M; Nanda, Priya; Speizer, Ilene S; Jain, Meenakshi

    2013-09-11

    A cultural preference for sons has been well documented in India, resulting in skewed sex ratios, especially exhibited in northwest India. Previous research has shown that family sex composition is associated with family planning (FP) use and couples' desire for more children. This study examines family sex composition and fertility and FP behaviors in urban Uttar Pradesh, India; little work has examined these issues in urban settings where family sizes are smaller and FP use is common. Data for this analysis comes from a 2010 representative survey of married, non-pregnant fecund women aged 15-49 from six cities in Uttar Pradesh, India. Multivariate analyses are used to examine the association between family sex composition and fertility desires and FP use. The multivariate results indicate that family sex composition is associated with fertility desires and FP use. Women without living children and without at least one child of each sex are significantly less likely to want no more children and women with both sons and daughters but more sons are significantly more likely to want no more children as compared to women that have both sons and daughters but more daughters. Women with no living children and women with daughters but no sons are less likely to be modern FP users than nonusers whereas women with both sons and daughters but more sons are more likely to be modern FP users than nonusers as compared to women with both sons and daughters but more daughters. These findings confirm that family sex composition affects fertility behavior and also reveals that preference for sons persists in urban Uttar Pradesh. These results underscore the importance of programs and policies that work to enhance the value of girl children.

  16. Hypoactive Sexual Desire Disorder

    DEFF Research Database (Denmark)

    Goldstein, Irwin; Kim, Noel N.; Clayton, Anita H

    2017-01-01

    to participate in sexual activity due to absent or decreased spontaneous desire, sexual desire in response to erotic cues or stimulation, or ability to maintain desire or interest through sexual activity for at least 6 months, with accompanying distress. Treatment follows a biopsychosocial model and is guided...

  17. Modeling and Multi-response Optimization of Hard Milling Process using Desirability Function Approach

    Directory of Open Access Journals (Sweden)

    A. Tamilarasan

    2014-05-01

    Full Text Available The characteristic features of hard milling are variable chip thickness and intermittent cutting. Such tendency rapidly increases the tool wear and reduces the metal removal rate against the cutting temperature results poor surface finish. Therefore, the objective of this present study was to present the mathematical models for modeling and analysis on the effects of process parameters, including the feed per tooth, radial depth of cut, axial depth of cut and cutting speed on cutting temperature, tool wear and metal removal rate in hard milling of 100MnCrW4 (Type O1 tool steel using (TiN+TiAlN coated carbide inserts. A central composite rotatable design with four factors and five levels was chosen to minimize the number of experimental conditions. Further, the reduced developed models were used for multiple-response optimization by desirability function approach in order to determine the optimum cutting parameters. These optimized machining parameters are validated experimentally and the experimental and predicted values were in a good agreement with small consistent error.

  18. Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

    Directory of Open Access Journals (Sweden)

    Mihaela- Alexandra Puica

    2013-02-01

    Full Text Available Research in affective computing shows that agents cannot be truly intelligent, nor believable or realistic without emotions. In this paper, we present a model of emotional agents that is based on a BDI architecture. We show how we can integrate emotions, resources and personality features into an artificial intelligent agent so as to obtain a human-like behavior of this agent. We place our work in the general context of existing research in emotional agents, with emphasis on BDI emotional models.

  19. Relationship of Children's Social Desirability Response Tendencies to Their Expectations of Response to Achievement Behaviors in Classrooms.

    Science.gov (United States)

    Potter, Ellen F.

    This study clarifies the relationship between children's social desirability (CSD) response tendencies and their withdrawal from classroom achievement situations by investigating the effects of the child's expectations of peer response. Data gathered included scores on the Children's Social Desirability Scale, scores on an expectancy of response…

  20. Behavioral Modeling of Memcapacitor

    OpenAIRE

    D. Biolek; Z. Biolek; V. Biolkova

    2011-01-01

    Two behavioral models of memcapacitor are developed and implemented in SPICE-compatible simulators. Both models are related to the charge-controlled memcapacitor, the capacitance of which is controlled by the amount of electric charge conveyed through it. The first model starts from the state description of memcapacitor whereas the second one uses the memcapacitor constitutive relation as the only input data. Results of transient analyses clearly show the basic fingerprints of the memcapacitor.

  1. Behavioral Modeling of Memcapacitor

    Directory of Open Access Journals (Sweden)

    D. Biolek

    2011-04-01

    Full Text Available Two behavioral models of memcapacitor are developed and implemented in SPICE-compatible simulators. Both models are related to the charge-controlled memcapacitor, the capacitance of which is controlled by the amount of electric charge conveyed through it. The first model starts from the state description of memcapacitor whereas the second one uses the memcapacitor constitutive relation as the only input data. Results of transient analyses clearly show the basic fingerprints of the memcapacitor.

  2. Pathways for Disordered Eating Behaviors in Minority Girls: The Role of Adiposity, Peer Weight-Related Teasing, and Desire to Be Thinner

    Science.gov (United States)

    Olvera, Norma; McCarley, Kendall; Matthews-Ewald, Molly R.; Fisher, Felicia; Jones, Martinque; Flynn, Erika G.

    2017-01-01

    This study investigated the direct and indirect effects of biological, psychological, and sociocultural factors in predicting disordered eating behaviors in girls with overweight/obesity. A total of 135 Hispanic and African American girls ([x-bar][subscript age] = 11.13 ± 1.54 years) completed surveys assessing the desire to be thinner, peer…

  3. Development of Environmental Knowledge, Team Working Skills and Desirable Behaviors on Environmental Conservation of Matthayomsuksa 6 Students Using Good Science Thinking Moves Method with Metacognition Techniques

    Science.gov (United States)

    Ladawan, Charinrat; Singseewo, Adisak; Suksringarm, Paitool

    2015-01-01

    The research aimed to investigate environmental knowledge, team working skills, and desirable behaviors of students learning through the good science thinking moves method with metacognition techniques. The sample group included Matthayomsuksa 6 students from Nadoon Prachasan School, Nadoon District, Maha Sarakham Province. The research tools were…

  4. BEHAVIORAL MODELS OF PSYCHOSISA

    Directory of Open Access Journals (Sweden)

    Parle Milind

    2013-07-01

    Full Text Available Existing research into schizophrenia has remained highly fragmented, much like the clinical presentation of the disease itself. Differing theories as to the cause and progression of schizophrenia, as well as the heterogeneity of clinical symptoms, have made it difficult to develop a coherent framework suitable for animal modeling. However, a few animal models have been developed to explore various causative theories and to test specific mechanistic hypotheses. Historically, these models have been based on the manipulation of neurotransmitter systems believed to be involved in schizophrenia. In recent years, the emphasis has shifted to targeting relevant brain regions in an attempt to explore potential etiologic hypotheses. In the present review article, we have described in detail various behavioral models available in literature for screening of antipsychotic agents. In the next article, we propose to focus on chemical induced psychosis (Pharmacological models. We have highlighted the principle, end point, brief procedures, merits and demerit of all the behavioral models in the foregoing pages Emphasis is placed on the critical evaluation of currently available models because these models help to shape the direction of future research.

  5. desirability scale

    Directory of Open Access Journals (Sweden)

    Alejandro C. Cosentino

    2008-01-01

    Full Text Available La deseabilidad social es la necesidad de los sujetos de obtener aprobación respondiendo de un modo culturalmente aceptable y apropiado. Uno de los instrumentos más utilizado para medirla es la Marlowe-Crowne Social Desirability Scale (MCSDS, desarrollada por los autores en 1960. Es de frecuente aplicación en diversos tipos de estudios de diferentes áreas de la Psicología y la Medicina. Resulta adecuada tanto para estimar sesgos de respuestas en un sentido socialmente deseable como para operacionalizar constructos psicológicos, tales como de necesidad de aprobación o de defensividad. Es la medida estándar para discriminar entre los estilos de respuesta al estrés del modelo de Weinberger, Schwartz y Davidson (1979. A lo largo del tiempo, diversos autores le han realizado modificaciones tales como: cambios de formato de administración, abreviaciones, traducciones y adaptaciones a diversas culturas. En este estudio se describe el desarrollo de la Escala de Deseabilidad Social de Crowne y Marlowe (EDSCM que es una adaptación argentina de la escala completa MCSDS en su formato original de papel y lápiz. Los datos obtenidos a través de diferentes muestras (estudiantes universitarios, adultos y solicitantes de empleos respaldan que la EDSCM posee adecuadas confiabilidad y validez de constructo, como lo demuestra el estudio de su validez convergente, validez divergente, validez por técnica de instrucciones diferenciales y validez de grupos conocidos. Se sugiere el uso de la EDSCM para investigaciones en diferentes áreas de Psicología y Medicina en poblaciones argentinas.

  6. Modeling the Effects of Desirable Image of Organization on Consumers in Service Sector

    Directory of Open Access Journals (Sweden)

    Ataollah Harandi

    2014-09-01

    This paper presents a model which is made by the researcher to investigated the effect of organizational image on the behavioral characteristics of consumers such as loyalty, satisfaction, perceived value and quality.the using data was gathered by a questionnaire from customers of Shandiz chain restaurantsin non-random sampling method.This study, based on aim, is an applicable research, and based on data collection method, it is a descriptive research.Also, considering its data analysis method, it is a structural equation based research using PLS software. The results of the study indicate the effective role of image on satisfaction, perceived value, perceived quality and customer loyalty. The indirect positive effects oforganizational image on loyalty bythe mediator role of perceived quality is confirmed but, the mediator role of satisfaction and perceived value is not accepted. Moreover, Other research findings States that satisfaction, perceived value and quality has a positive impact on customer loyalty.in this study, the positive effect of perceived value and quality on customers satisfaction is Confirmed whereas, the Effect of perceived quality on perceived value is not accepted

  7. Inconvenient desires

    DEFF Research Database (Denmark)

    Palmer, Clare; Corr, Sandra; Sandøe, Peter

    2012-01-01

    considers whether or not routine neutering of cats and dogs, in cases where uncontrolled reproduction is not an issue, can be ethically defended. The starting point of this consideration is a review of the veterinary literature on the effects of neutering on companion animals. The focus is both...... on the welfare of neutered animals themselves, and on behavioral and other effects that may not directly affect the animals' welfare, but that may be motivating factors for owners to neuter their companion animals. Here it becomes clear that justification for routine neutering, particularly of confined male dogs...... possible ethical approaches to routine animal neutering. These ethical approaches offer different degrees of concern about, or opposition to, routine neutering. Finally, based on this ethical exploration, it is argued that routine neutering, at least in the case of non-free-ranging companion animals...

  8. Delinquent and Aggressive Behavior and Social Desirability Among Roma and Non-Roma Adolescents in Slovakia: A Cross-Sectional Study.

    Science.gov (United States)

    Kolarcik, Peter; Madarasova Geckova, Andrea; Reijneveld, Sijmen A; van Dijk, Jitse P

    2016-02-01

    Rates of aggression and delinquency are assumed to be higher among Roma and other minorities, but sound evidence of this is lacking. Our aim was to assess delinquent and aggressive behavior among Roma and non-Roma adolescents and the effects on ethnic differences of parental education and social desirability. We conducted a cross-sectional study among Roma from separated and segregated settlements in the eastern part of Slovakia (N = 330; Mage = 14.50; interview) and non-Roma adolescents (N = 722; Mage = 14.86; questionnaire). The effect of ethnicity on antisocial behaviors was analyzed using linear regression (crude) and adjusted for gender, parental education, and social desirability. Adjustment for social desirability diminished the ethnic differences in delinquency (B = 1.08; 95% confidence interval [CI] = [2.12, -0.04]), led to an increase in the differences in hostility (B = 2.43; 95% CI = [0.87, 3.99]), and led to the disappearance of differences in physical aggression (B = 0.45; 95% CI = [1.14, 2.07]). Parental education did not affect the associations in an important way. Our findings indicate that Roma are not that much different from non-Roma, in terms of antisocial behavior, which contradicts the general perception of Roma. Our findings should be confirmed in other settings.

  9. The Lognormal Race: A Cognitive-Process Model of Choice and Latency with Desirable Psychometric Properties.

    Science.gov (United States)

    Rouder, Jeffrey N; Province, Jordan M; Morey, Richard D; Gomez, Pablo; Heathcote, Andrew

    2015-06-01

    We present a cognitive process model of response choice and response time performance data that has excellent psychometric properties and may be used in a wide variety of contexts. In the model there is an accumulator associated with each response option. These accumulators have bounds, and the first accumulator to reach its bound determines the response time and response choice. The times at which accumulator reaches its bound is assumed to be lognormally distributed, hence the model is race or minima process among lognormal variables. A key property of the model is that it is relatively straightforward to place a wide variety of models on the logarithm of these finishing times including linear models, structural equation models, autoregressive models, growth-curve models, etc. Consequently, the model has excellent statistical and psychometric properties and can be used in a wide range of contexts, from laboratory experiments to high-stakes testing, to assess performance. We provide a Bayesian hierarchical analysis of the model, and illustrate its flexibility with an application in testing and one in lexical decision making, a reading skill.

  10. A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Sahoo

    2014-06-01

    Full Text Available This paper presents an experimental investigation on cutting temperature during hard turning of EN 24 steel (50 HRC using TiN coated carbide insert under dry environment. The prediction model is developed using response surface methodology and optimization of process parameter is performed by desirability approach. A stiff rise in cutting temperature is noticed when feed and cutting speed are elevated. The effect of depth of cut on cutting temperature is not that much significant compared with cutting speed and feed as observed from main effects plot. The response surface second order model presented high correlation coefficient (R2 = 0.992 explaining 99.2 % of the variability in the cutting temperature which indicates the goodness of fit for the model to the actual data and high statistical significance of the model. The experimental and predicted values are very close to each other. The calculated error for cutting temperature lies between 1.88-3.19 % during confirmation trial. Therefore, the developed second order model correlates the relationship of the cutting temperature with the process parameters with good degree of approximation. The optimal combination for process parameter is depth of cut at 0.2mm, feed of 0.1597 mm/rev and cutting speed of 70m/min. Based on these combination, the value of cutting temperature is 302.950C whose desirability is one.

  11. Modeling reaction noise with a desired accuracy by using the X level approach reaction noise estimator (XARNES) method.

    Science.gov (United States)

    Konkoli, Zoran

    2012-07-21

    A novel computational method for modeling reaction noise characteristics has been suggested. The method can be classified as a moment closure method. The approach is based on the concept of correlation forms which are used for describing spatially extended many body problems where particle numbers change in space and time. In here, it was shown how the formalism of spatially extended correlation forms can be adapted to study well mixed reaction systems. Stochastic fluctuations in particle numbers are described by selectively capturing correlation effects up to the desired order, ξ. The method is referred to as the ξ-level Approximation Reaction Noise Estimator method (XARNES). For example, the ξ=1 description is equivalent to the mean field theory (first-order effects), the ξ=2 case corresponds to the previously developed PARNES method (pair effects), etc. The main idea is that inclusion of higher order correlation effects should lead to better (more accurate) results. Several models were used to test the method, two versions of a simple complex formation model, the Michaelis-Menten model of enzymatic kinetics, the smallest bistable reaction network, a gene expression network with negative feedback, and a random large network. It was explicitly demonstrated that increase in ξ indeed improves accuracy in all cases investigated. The approach has been implemented as automatic software using the Mathematica programming language. The user only needs to input reaction rates, stoichiometry coefficients, and the desired level of computation ξ.

  12. A kinetic approach to model sorption dynamics of radionuclides in soils: from desire to operational application?

    Energy Technology Data Exchange (ETDEWEB)

    Martin-Garin, A.; Garcia-Sanchez, L.; Coppin, F. [Institut de Radioprotection et de Surete Nucleaire (France); Krimissa, M. [Electricite de France (France)

    2014-07-01

    The understanding of radionuclides (RN) behaviour and subsequent fluxes in the soil/solution/plant system is still a challenging question for realistic short, medium or long term risk assessments. Several years of researches have been devoted to improve the modeling of radionuclides migration in soils and their transfer to other compartments of the biosphere (eg. plants), as well as to constitute databases of model parameters (eg. distribution coefficient (K{sub d})). These works contributed to define, and then to extend, the domain of applicability of radioecological models, but they also helped to identify gaps and ways to improve them. However, these improvements have not been fully taken into account. Within this framework, the evolution of RN chemical speciation in time (often described as aging) was specifically addressed, as it control RN retention properties and bioavailability. Regarding soluble and RN solid speciation in soils, such processes generally lead to a shift from low to high K{sub d} values. Common explanations consist in the transfer of sorbed RN to non-(or less) exchangeable solid species, or in the lixiviation of the most available radionuclide fraction, both decreasing the reversibly sorbed RN fraction. Kinetics studies have examined such changes in K{sub d} value with time and various models have been proposed to fit the different evolutions. Among them, an empirical three-box model is often used to describe the kinetics of RN sorption when RN mostly occurs in the soil solution as a free ion (eg. Cs and Sr). This model assumes that the radionuclide may be sorbed either as a labile fraction, defining an exchangeable K{sub d}-like liquid/solid distribution, or sorbed as a less or non-exchangeable fraction. The last is estimated through its corresponding sorption and desorption rate constants, which describes a pseudo-first order reaction. Modeling of sorption dynamic is a way to link K{sub d} values derived from field-contaminated soils to

  13. A bicriteria model for locating a semi-desirable facility in

    DEFF Research Database (Denmark)

    Juel, Henrik; Brimberg, Jack

    1998-01-01

    We consider the problem of locating a facility in the plane. Customers want the facility to be close to obtain cheaply the service offered by it. But customers also want the facility to be far away to avoid the pollution from it. We model the situation using two criteria: One is the well-known mi......We consider the problem of locating a facility in the plane. Customers want the facility to be close to obtain cheaply the service offered by it. But customers also want the facility to be far away to avoid the pollution from it. We model the situation using two criteria: One is the well......-known minisum criterion; in the other we want to minimize the weighted sum of Euclidean distances raised to a negative power. The second criterion is analyzed in some detail, and we state some properties of this part of the model. In the bicriteria model we minimize the weighted sum of the two criteria...

  14. A bicriteria model for locating a semi-desirable facility in

    DEFF Research Database (Denmark)

    Juel, Henrik; Brimberg, Jack

    1998-01-01

    We consider the problem of locating a facility in the plane. Customers want the facility to be close to obtain cheaply the service offered by it. But customers also want the facility to be far away to avoid the pollution from it. We model the situation using two criteria: One is the well-known mi......, with weights adding to one. We outline a method for determining the efficient frontier of facility locations, and provide an illustrative numerical example....

  15. Self-Presentation, Desired Partner Characteristics, and Sexual Behavior Preferences in Online Personal Advertisements of Men Seeking Non-Gay-Identified Men.

    Science.gov (United States)

    Downing, Martin J; Schrimshaw, Eric W

    2014-03-14

    Despite attention to the sexual behaviors of non-gay-identified (NGI) men who have same-sex encounters, virtually no research has focused on issues of partner desirability and selection. Limited evidence suggests that a subgroup of men who have sex with men (MSM) advertise online for sexual encounters with NGI men. Exchange theory provided a framework to investigate this seeking of NGI men, based on the content of Internet personal advertisements for same-sex encounters. Researchers analyzed 282 ads posted to an online bulletin board. Ads by men who explicitly desired encounters with NGI men were compared with those by men who did not indicate this preference in potential partners. Multivariate analyses revealed that NGI-seeking men had significantly increased odds of identifying as discreet (Adjusted odds ratio [AOR] = 2.82), seeking a discreet encounter (AOR = 4.68), seeking a masculine partner (AOR = 2.18), being willing to host (AOR = 2.77), as well as seeking oral-receptive sex (AOR = 2.69), unprotected oral sex (AOR = 6.76), and anal-receptive sex (AOR = 2.18). Further, NGI-seeking ads were more likely to not mention condom use or safer sex practices (AOR = 4.13) and were less likely to indicate a desire for oral-insertive sex (AOR = 0.34) and rimming (AOR = 0.21). Findings suggest that some men may deliberately present themselves in ways that they perceive as being attractive to NGI men, and have research implications for NGI MSM, their partners, and the risk outcomes of these online ads.

  16. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived......, thereby implying that interactions between spreading processes are driving forces of attention dynamics. Overall, the thesis contributes to a quantitative understanding of a wide range of different human behaviors by applying mathematical modeling to behavioral data. There can be no doubt......During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...

  17. The Desire of Parenthood: Intuitive Co-parental Behaviors and Quality of Couple Relationship among Italian and Belgian Same-Sex and Opposite-Sex Couples

    Science.gov (United States)

    Miscioscia, Marina; Blavier, Adelaide; Pagone, Paolo R.; Simonelli, Alessandra

    2017-01-01

    Studies that focused on family issues have allowed a great understanding of the aspects related to its subsystems, such as parenting desire and its expectations, couples’ satisfaction and quality of child’s outcomes. All these aspects are greatly interconnected and contribute to the creation of specific family dynamics, such as the quality of family interactions. The present study focuses on intuitive co-parental behaviors and the quality of couple relationship observed during the decision process (intention and desire) to be (or become) parents. Our first goal was to explore these aspects in a cross-national sample made of Italian and Belgian heterosexual, lesbian and gay couples. We then aimed to evaluate if the degree of internalized homophobia affects co-parental alliance. The quality of couple relationship and co-parental behaviors have been evaluated through the recruitment of a group of 115 stable heterosexual, gay and lesbian couples (230 individuals, 20–50 years of age) without children, who wanted to become parents. We used the Prenatal Lausanne Trilogue Play to evaluate the Co-parental Alliance; the couple’s satisfaction was assessed with the Dyadic Adjustment Scale and the Internalized Homophobia with the MISS-LG. In line with the existent literature, the analysis did not find any difference between lesbian, gay and heterosexual couples in terms of co-parental alliance. High levels of couple adjustment lead to better parental performances among both Italian and Belgian couples. The results suggest also that sexual stigma differs from one country to another, and it has an impact on the capability of managing co-parenting. Clinical implications should be verified in further longitudinal studies in order to observe the impact on the inter-generational transmission of psychopathology. PMID:28261120

  18. Gas Turbine Engine Behavioral Modeling

    OpenAIRE

    Meyer, Richard T; DeCarlo, Raymond A.; Pekarek, Steve; Doktorcik, Chris

    2014-01-01

    This paper develops and validates a power flow behavioral model of a gas tur- bine engine with a gas generator and free power turbine. “Simple” mathematical expressions to describe the engine’s power flow are derived from an understand- ing of basic thermodynamic and mechanical interactions taking place within the engine. The engine behavioral model presented is suitable for developing a supervisory level controller of an electrical power system that contains the en- gine connected to a gener...

  19. Behavior models for software architecture

    OpenAIRE

    Auguston, Mikhail

    2014-01-01

    Approved for public release; distribution is unlimited. Approved for public release; distribution is unlimited Monterey Phoenix (MP) is an approach to formal software system architecture specification based on behavior models. Architecture modeling focuses not only on the activities and interactions within the system, but also on the interactions between the system and its environment, providing an abstraction for interaction specification. The behavior of the system is defined as a set...

  20. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...... studies have considered data sets with just one behavioral variable such as email communication. The Social Fabric interdisciplinary research project is an attempt to collect a more complete data set on human behavior by providing 1000 smartphones with pre-installed data collection software to students...... data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived...

  1. Analyzing and modeling heterogeneous behavior

    Science.gov (United States)

    Lin, Zhiting; Wu, Xiaoqing; He, Dongyue; Zhu, Qiang; Ni, Jixiang

    2016-05-01

    Recently, it was pointed out that the non-Poisson statistics with heavy tail existed in many scenarios of human behaviors. But most of these studies claimed that power-law characterized diverse aspects of human mobility patterns. In this paper, we suggest that human behavior may not be driven by identical mechanisms and can be modeled as a Semi-Markov Modulated Process. To verify our suggestion and model, we analyzed a total of 1,619,934 records of library visitations (including undergraduate and graduate students). It is found that the distribution of visitation intervals is well fitted with three sections of lines instead of the traditional power law distribution in log-log scale. The results confirm that some human behaviors cannot be simply expressed as power law or any other simple functions. At the same time, we divided the data into groups and extracted period bursty events. Through careful analysis in different groups, we drew a conclusion that aggregate behavior might be composed of heterogeneous behaviors, and even the behaviors of the same type tended to be different in different period. The aggregate behavior is supposed to be formed by "heterogeneous groups". We performed a series of experiments. Simulation results showed that we just needed to set up two states Semi-Markov Modulated Process to construct proper representation of heterogeneous behavior.

  2. An Uneasy Look at Behavior Modeling.

    Science.gov (United States)

    Parry, Scott B.; Reich, Leah R.

    1984-01-01

    Key points in a typical behavior modeling instructional sequence are given. Some problems of behavior modeling are analyzed and solutions are offered. Article is ended with a discussion of some design limitations built into behavior modeling. (JB)

  3. ANIMAL BEHAVIORAL MODELS OF TINNITUS

    Institute of Scientific and Technical Information of China (English)

    ZHANG Chao; WANG Qiuju; SUN Wei

    2014-01-01

    The pathophysiology of tinnitus is poorly understood and treatments are often unsuccessful. A number of animal models have been developed in order to gain a better understanding of tinnitus. A great deal has been learned from these models re-garding the electrophysiological and neuroanatomical correlates of tinnitus following exposure to noise or ototoxic drugs. Re-liable behavioral data is important for determining whether such electrophysiological or neuroanatomical changes are indeed related to tinnitus. Of the many documented tinnitus animal behavioral paradigms, the acoustic startle reflex had been pro-posed as a simple method to identify the presence or absence of tinnitus. Several behavioral models based on conditioned re-sponse suppression paradigms have also been developed. In addition to determining the presence or absence of tinnitus, some of the behavioral paradigms have provided signs of the onset, frequency, and intensity of tinnitus in animals. Although none of these behavioral models have been proved to be a perfect model, these studies provide useful information on understanding the neural mechanisms underlying tinnitus.

  4. Iterative learning control algorithm for spiking behavior of neuron model

    Science.gov (United States)

    Li, Shunan; Li, Donghui; Wang, Jiang; Yu, Haitao

    2016-11-01

    Controlling neurons to generate a desired or normal spiking behavior is the fundamental building block of the treatment of many neurologic diseases. The objective of this work is to develop a novel control method-closed-loop proportional integral (PI)-type iterative learning control (ILC) algorithm to control the spiking behavior in model neurons. In order to verify the feasibility and effectiveness of the proposed method, two single-compartment standard models of different neuronal excitability are specifically considered: Hodgkin-Huxley (HH) model for class 1 neural excitability and Morris-Lecar (ML) model for class 2 neural excitability. ILC has remarkable advantages for the repetitive processes in nature. To further highlight the superiority of the proposed method, the performances of the iterative learning controller are compared to those of classical PI controller. Either in the classical PI control or in the PI control combined with ILC, appropriate background noises are added in neuron models to approach the problem under more realistic biophysical conditions. Simulation results show that the controller performances are more favorable when ILC is considered, no matter which neuronal excitability the neuron belongs to and no matter what kind of firing pattern the desired trajectory belongs to. The error between real and desired output is much smaller under ILC control signal, which suggests ILC of neuron’s spiking behavior is more accurate.

  5. Analogue Behavioral Modeling of GTO

    Directory of Open Access Journals (Sweden)

    Y. Azzouz

    2011-01-01

    Full Text Available An analog behavioral model of high power gate turn-off thyristor (GTO is developed in this paper. The fundamental methodology for the modeling of this power electronic circuit is based on the use of the realistic diode consideration of non-linear junctions. This modeling technique enables to perform different simulations taking into account the turn-on and turn-off transient behaviors in real-time. The equivalent circuits were simulated with analog software developed in our laboratory. It was shown that the tested simple and compact model allows the generation of accurate physical characteristics of power thyristors under dynamic conditions. The model understudy was validated with analog simulations based on operational amplifier devices.

  6. Modeling of Agent Behavior Using Behavioral Specifications

    NARCIS (Netherlands)

    Sharpanskykh, A.; Treur, J.

    2006-01-01

    The behavioral dynamics of a cognitive agent can be considered both from an external and an internal perspective. From the external perspective, behavior is described by specifying (temporal) correlations between input and output states of the agent. From the internal perspective the agent’s dynamic

  7. An opinion-driven behavioral dynamics model for addictive behaviors

    Science.gov (United States)

    Moore, Thomas W.; Finley, Patrick D.; Apelberg, Benjamin J.; Ambrose, Bridget K.; Brodsky, Nancy S.; Brown, Theresa J.; Husten, Corinne; Glass, Robert J.

    2015-04-01

    We present a model of behavioral dynamics that combines a social network-based opinion dynamics model with behavioral mapping. The behavioral component is discrete and history-dependent to represent situations in which an individual's behavior is initially driven by opinion and later constrained by physiological or psychological conditions that serve to maintain the behavior. Individuals are modeled as nodes in a social network connected by directed edges. Parameter sweeps illustrate model behavior and the effects of individual parameters and parameter interactions on model results. Mapping a continuous opinion variable into a discrete behavioral space induces clustering on directed networks. Clusters provide targets of opportunity for influencing the network state; however, the smaller the network the greater the stochasticity and potential variability in outcomes. This has implications both for behaviors that are influenced by close relationships verses those influenced by societal norms and for the effectiveness of strategies for influencing those behaviors.

  8. Behavior Modeling -- Foundations and Applications

    DEFF Research Database (Denmark)

    This book constitutes revised selected papers from the six International Workshops on Behavior Modelling - Foundations and Applications, BM-FA, which took place annually between 2009 and 2014. The 9 papers presented in this volume were carefully reviewed and selected from a total of 58 papers...

  9. A Compelling Desire for Deafness

    Science.gov (United States)

    Veale, David

    2006-01-01

    A case is described of a patient who has a compelling and persistent desire to become deaf. She often kept cotton wool moistened with oil in her ears and was learning sign language. Living without sound appeared to be a severe form of avoidance behavior from hyperacusis and misophonia. She had a borderline personality disorder that was associated…

  10. Cognitive Modeling of Social Behaviors

    Science.gov (United States)

    Clancey, William J.; Sierhuis, Maarten; Damer. Bruce; Brodsky, Boris

    2004-01-01

    The driving theme of cognitive modeling for many decades has been that knowledge affects how and which goals are accomplished by an intelligent being (Newell 1991). But when one examines groups of people living and working together, one is forced to recognize that whose knowledge is called into play, at a particular time and location, directly affects what the group accomplishes. Indeed, constraints on participation, including roles, procedures, and norms, affect whether an individual is able to act at all (Lave & Wenger 1991; Jordan 1992; Scribner & Sachs 1991). To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual &nd as ways of carrying out activities (Clancey 1997a, 2002b). This requires for the psychologist a shift from only modeling goals and tasks - why people do what they do - to modeling behavioral patterns-what people do-as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). This analysis is particular inspired by activity theory (Leont ev 1979). While acknowledging that knowledge (relating goals and operations) is fundamental for intelligent behavior, activity theory claims that a broader driver is the person s motives and conceptualization of activities. Such understanding of human interaction is normative (i.e., viewed with respect to social standards), affecting how knowledge is called into play and applied in practice. Put another way, how problems are discovered and framed, what methods are chosen, and indeed who even cares or has the authority to act, are all

  11. Modeling the behavior of an earthquake base-isolated building.

    Energy Technology Data Exchange (ETDEWEB)

    Coveney, V. A.; Jamil, S.; Johnson, D. E.; Kulak, R. F.; Uras, R. A.

    1997-11-26

    Protecting a structure against earthquake excitation by supporting it on laminated elastomeric bearings has become a widely accepted practice. The ability to perform accurate simulation of the system, including FEA of the bearings, would be desirable--especially for key installations. In this paper attempts to model the behavior of elastomeric earthquake bearings are outlined. Attention is focused on modeling highly-filled, low-modulus, high-damping elastomeric isolator systems; comparisons are made between standard triboelastic solid model predictions and test results.

  12. Desire, Democracy and Education

    Science.gov (United States)

    Thogersen, Ulla

    2011-01-01

    In recent years the concept of eros has found its way back into educational literature with the aim of integrating human desires into educational theories and counteracting a devaluation of emotional life. This paper holds the view that this integration is important because desire expresses a fundamental way of relating to the world. However, part…

  13. On our best behavior: optimality models in human behavioral ecology.

    Science.gov (United States)

    Driscoll, Catherine

    2009-06-01

    This paper discusses problems associated with the use of optimality models in human behavioral ecology. Optimality models are used in both human and non-human animal behavioral ecology to test hypotheses about the conditions generating and maintaining behavioral strategies in populations via natural selection. The way optimality models are currently used in behavioral ecology faces significant problems, which are exacerbated by employing the so-called 'phenotypic gambit': that is, the bet that the psychological and inheritance mechanisms responsible for behavioral strategies will be straightforward. I argue that each of several different possible ways we might interpret how optimality models are being used for humans face similar and additional problems. I suggest some ways in which human behavioral ecologists might adjust how they employ optimality models; in particular, I urge the abandonment of the phenotypic gambit in the human case.

  14. Analysis and modeling of parking behavior

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Analyzes the spatial structure of parking behavior and establishes a basic parking behavior model to represent the parking problem in downtown, and establishes a parking pricing model to analyze the parking equilibrium with a positive parking fee and uses a paired combinatorial logit model to analyze the effect of trip integrative cost on parking behavior and concludes from empirical results that the parking behavior model performs well.

  15. Behavioral animal models of depression.

    Science.gov (United States)

    Yan, Hua-Cheng; Cao, Xiong; Das, Manas; Zhu, Xin-Hong; Gao, Tian-Ming

    2010-08-01

    Depression is a chronic, recurring and potentially life-threatening illness that affects up to 20% of the population across the world. Despite its prevalence and considerable impact on human, little is known about its pathogenesis. One of the major reasons is the restricted availability of validated animal models due to the absence of consensus on the pathology and etiology of depression. Besides, some core symptoms such as depressed mood, feeling of worthlessness, and recurring thoughts of death or suicide, are impossible to be modeled on laboratory animals. Currently, the criteria for identifying animal models of depression rely on either of the 2 principles: actions of known antidepressants and responses to stress. This review mainly focuses on the most widely used animal models of depression, including learned helplessness, chronic mild stress, and social defeat paradigms. Also, the behavioral tests for screening antidepressants, such as forced swimming test and tail suspension test, are also discussed. The advantages and major drawbacks of each model are evaluated. In prospective, new techniques that will be beneficial for developing novel animal models or detecting depression are discussed.

  16. Modeling software behavior a craftsman's approach

    CERN Document Server

    Jorgensen, Paul C

    2009-01-01

    A common problem with most texts on requirements specifications is that they emphasize structural models to the near exclusion of behavioral models-focusing on what the software is, rather than what it does. If they do cover behavioral models, the coverage is brief and usually focused on a single model. Modeling Software Behavior: A Craftsman's Approach provides detailed treatment of various models of software behavior that support early analysis, comprehension, and model-based testing. Based on the popular and continually evolving course on requirements specification models taught by the auth

  17. Nonlinear System Identification and Behavioral Modeling

    CERN Document Server

    Huq, Kazi Mohammed Saidul; Kabir, A F M Sultanul

    2010-01-01

    The problem of determining a mathematical model for an unknown system by observing its input-output data pair is generally referred to as system identification. A behavioral model reproduces the required behavior of the original analyzed system, such as there is a one-to-one correspondence between the behavior of the original system and the simulated system. This paper presents nonlinear system identification and behavioral modeling using a work assignment.

  18. Modeling lahar behavior and hazards

    Science.gov (United States)

    Manville, Vernon; Major, Jon J.; Fagents, Sarah A.

    2013-01-01

    Lahars are highly mobile mixtures of water and sediment of volcanic origin that are capable of traveling tens to > 100 km at speeds exceeding tens of km hr-1. Such flows are among the most serious ground-based hazards at many volcanoes because of their sudden onset, rapid advance rates, long runout distances, high energy, ability to transport large volumes of material, and tendency to flow along existing river channels where populations and infrastructure are commonly concentrated. They can grow in volume and peak discharge through erosion and incorporation of external sediment and/or water, inundate broad areas, and leave deposits many meters thick. Furthermore, lahars can recur for many years to decades after an initial volcanic eruption, as fresh pyroclastic material is eroded and redeposited during rainfall events, resulting in a spatially and temporally evolving hazard. Improving understanding of the behavior of these complex, gravitationally driven, multi-phase flows is key to mitigating the threat to communities at lahar-prone volcanoes. However, their complexity and evolving nature pose significant challenges to developing the models of flow behavior required for delineating their hazards and hazard zones.

  19. A control theoretic model of driver steering behavior

    Science.gov (United States)

    Donges, E.

    1977-01-01

    A quantitative description of driver steering behavior such as a mathematical model is presented. The steering task is divided into two levels: (1) the guidance level involving the perception of the instantaneous and future course of the forcing function provided by the forward view of the road, and the response to it in an anticipatory open-loop control mode; (2) the stabilization level whereby any occuring deviations from the forcing function are compensated for in a closed-loop control mode. This concept of the duality of the driver's steering activity led to a newly developed two-level model of driver steering behavior. Its parameters are identified on the basis of data measured in driving simulator experiments. The parameter estimates of both levels of the model show significant dependence on the experimental situation which can be characterized by variables such as vehicle speed and desired path curvature.

  20. Applying the model of Goal-Directed Behavior, including descriptive norms, to physical activity intentions: A contribution to improving the Theory of Planned Behavior

    Science.gov (United States)

    The theory of planned behavior (TPB) has received its fair share of criticism lately, including calls for it to retire. We contributed to improving the theory by testing extensions such as the model of goal-directed behavior (MGDB, which adds desire and anticipated positive and negative emotions) ap...

  1. A Comprehensive Model of Customers’ Complaint Behavior

    Directory of Open Access Journals (Sweden)

    Masoud Mousavi

    2013-05-01

    Full Text Available The purpose of this article is to determine the factors influencing the complaint behavior of service customers and suggested a model that gives a dynamic view of customer’s complaint behavior. The conceptual model supported by study and research done in the context of complaint behavior analysis. In addition, numerous science researches in different industries (services and products supported the model. Research findings show that the complaint behavior of customers is a very complex behavior of customer dissatisfaction. Many factors determine the type and severity of complaints and these factors can be classified into four factors such as personal (individual factors, service factors, situational factors and macro element. Different Kinds of people’s coping strategies is an effective factor in the selection of complaint behavior type. Analyzing and identifying different factors that cause the complaint behavior is important for different types of services. This model is a comprehensive one in complaint behavior that identifies important factors.

  2. Sexual Desire and Hypoactive Sexual Desire Disorder in Women. Introduction and Overview. Standard Operating Procedure (SOP Part 1)

    DEFF Research Database (Denmark)

    Bitzer, Johannes; Giraldi, Annamaria; Pfaus, Jim

    2012-01-01

    , and hormones, and psychological factors like life events, sexual biography, affective state, etc., as well as interpersonal factors like partner satisfaction, communication, duration of the relationship, and sociocultural factors interact with each other and contribute to the individual experience of desire......Introduction.  Hypoactive sexual desire disorder (HSDD) is defined in Diagnostic and Statistical Manual of Mental Disorders Fourth Edition as persistent or recurrent deficiency (or absence) of sexual fantasies/thoughts, and/or desire for or receptivity to sexual activity, which causes personal...... distress. As a largely subjective experience, sexual desire may or may not be accompanied by externally observable changes in sexual behavior. Aim.  Describe the models of understanding HSDD and the contributing factors to provide the basis for a diagnostic interview and guidance for care for healthcare...

  3. Hypoactive sexual desire disorder.

    Science.gov (United States)

    Davison, Sonia L

    2012-08-01

    Hypoactive sexual desire disorder (HSDD) is the most prevalent female sexual dysfunction, with estimates of prevalence approximating 10%. By definition it is a deficiency of sexual desire that causes distress. HSDD has no single cause, but physiological, psychological and socio-cultural factors underpinning female sexual desire may all be important in its development. Medical therapeutic strategies to date have concentrated on modulation of hormone levels, particularly androgen administration, yet few products have been approved for the treatment of HSDD in developed countries. More recent medical targets have included agents with 5-hydroxytryptamine agonist activity. Psychological therapeutic approaches have been infrequently studied but concentrate on cognitive behavioural therapy. HSDD is an evolving diagnosis, the existence of which has been questioned by some critics. Whilst HSDD remains the subject of ongoing research, its title and definition are under debate as a new edition of the Diagnostic and Statistical Manual of the American Psychiatric Association approaches publication in 2012.

  4. Mathematics, Mathematicians, and Desire

    OpenAIRE

    Roodal Persad, Veda

    2014-01-01

    This thesis is about mapping the landscape of engagement with mathematics, including elucidating aspects of who we are, as human beings, when we do mathematics and of what mathematics calls us to do if we are to engage with it. Using the concept of desire in the psychoanalytic theory of Jacques Lacan and the forms of desire as elucidated by the Lacanian theorist, Mark Bracher, I seek to find out what the mathematical encounter takes (the demands and costs) and what it gives (the offers and re...

  5. How happy is your web browsing? A model to quantify satisfaction of an Internet user searching for desired information

    Science.gov (United States)

    Banerji, Anirban; Magarkar, Aniket

    2012-09-01

    We feel happy when web browsing operations provide us with necessary information; otherwise, we feel bitter. How to measure this happiness (or bitterness)? How does the profile of happiness grow and decay during the course of web browsing? We propose a probabilistic framework that models the evolution of user satisfaction, on top of his/her continuous frustration at not finding the required information. It is found that the cumulative satisfaction profile of a web-searching individual can be modeled effectively as the sum of a random number of random terms, where each term is a mutually independent random variable, originating from ‘memoryless’ Poisson flow. Evolution of satisfaction over the entire time interval of a user’s browsing was modeled using auto-correlation analysis. A utilitarian marker, a magnitude of greater than unity of which describes happy web-searching operations, and an empirical limit that connects user’s satisfaction with his frustration level-are proposed too. The presence of pertinent information in the very first page of a website and magnitude of the decay parameter of user satisfaction (frustration, irritation etc.) are found to be two key aspects that dominate the web user’s psychology. The proposed model employed different combinations of decay parameter, searching time and number of helpful websites. The obtained results are found to match the results from three real-life case studies.

  6. Research Models in Developmental Behavioral Toxicology.

    Science.gov (United States)

    Dietrich, Kim N.; Pearson, Douglas T.

    Developmental models currently used by child behavioral toxicologists and teratologists are inadequate to address current issues in these fields. Both child behavioral teratology and toxicology scientifically study the impact of exposure to toxic agents on behavior development: teratology focuses on prenatal exposure and postnatal behavior…

  7. Attacking and Defending Covert Channels and Behavioral Models

    CERN Document Server

    Crespi, Valentino; Giani, Annarita

    2011-01-01

    In this paper we present methods for attacking and defending $k$-gram statistical analysis techniques that are used, for example, in network traffic analysis and covert channel detection. The main new result is our demonstration of how to use a behavior's or process' $k$-order statistics to build a stochastic process that has those same $k$-order stationary statistics but possesses different, deliberately designed, $(k+1)$-order statistics if desired. Such a model realizes a "complexification" of the process or behavior which a defender can use to monitor whether an attacker is shaping the behavior. By deliberately introducing designed $(k+1)$-order behaviors, the defender can check to see if those behaviors are present in the data. We also develop constructs for source codes that respect the $k$-order statistics of a process while encoding covert information. One fundamental consequence of these results is that certain types of behavior analyses techniques come down to an {\\em arms race} in the sense that th...

  8. Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes

    Directory of Open Access Journals (Sweden)

    Lee Sunjae

    2010-05-01

    Full Text Available Abstract Background Within the emerging field of synthetic biology, engineering paradigms have recently been used to design biological systems with novel functionalities. One of the essential challenges hampering the construction of such systems is the need to precisely optimize protein expression levels for robust operation. However, it is difficult to design mRNA sequences for expression at targeted protein levels, since even a few nucleotide modifications around the start codon may alter translational efficiency and dramatically (up to 250-fold change protein expression. Previous studies have used ad hoc approaches (e.g., random mutagenesis to obtain the desired translational efficiencies for mRNA sequences. Hence, the development of a mathematical methodology capable of estimating translational efficiency would greatly facilitate the future design of mRNA sequences aimed at yielding desired protein expression levels. Results We herein propose a mathematical model that focuses on translation initiation, which is the rate-limiting step in translation. The model uses mRNA-folding dynamics and ribosome-binding dynamics to estimate translational efficiencies solely from mRNA sequence information. We confirmed the feasibility of our model using previously reported expression data on the MS2 coat protein. For further confirmation, we used our model to design 22 luxR mRNA sequences predicted to have diverse translation efficiencies ranging from 10-5 to 1. The expression levels of these sequences were measured in Escherichia coli and found to be highly correlated (R2 = 0.87 with their estimated translational efficiencies. Moreover, we used our computational method to successfully transform a low-expressing DsRed2 mRNA sequence into a high-expressing mRNA sequence by maximizing its translational efficiency through the modification of only eight nucleotides upstream of the start codon. Conclusions We herein describe a mathematical model that uses m

  9. Functional Behavioral Assessment: A School Based Model.

    Science.gov (United States)

    Asmus, Jennifer M.; Vollmer, Timothy R.; Borrero, John C.

    2002-01-01

    This article begins by discussing requirements for functional behavioral assessment under the Individuals with Disabilities Education Act and then describes a comprehensive model for the application of behavior analysis in the schools. The model includes descriptive assessment, functional analysis, and intervention and involves the participation…

  10. Modeling Architectural Patterns' Behavior Using Architectural Primitives

    NARCIS (Netherlands)

    Kamal, Ahmad Waqas; Avgeriou, Paris; Morrison, R; Balasubramaniam, D; Falkner, K

    2008-01-01

    Architectural patterns have an impact on both the structure and the behavior of a system at the architecture design level. However, it is challenging to model patterns' behavior in a systematic way because modeling languages do not provide the appropriate abstractions and because each pattern

  11. Modeling Architectural Patterns’ Behavior Using Architectural Primitives

    NARCIS (Netherlands)

    Waqas Kamal, Ahmad; Avgeriou, Paris

    2008-01-01

    Architectural patterns have an impact on both the structure and the behavior of a system at the architecture design level. However, it is challenging to model patterns’ behavior in a systematic way because modeling languages do not provide the appropriate abstractions and because each pattern

  12. Effect of thermostat and window opening occupant behavior models on energy use in homes

    DEFF Research Database (Denmark)

    D'Oca, Simona; Fabi, Valentina; Corgnati, Stefano P.;

    2014-01-01

    , in everyday practice occupants interact with the building plant system and building envelope in order to achieve desired indoor environmental conditions. In this study, occupant behavior in residential building was modelled accordingly to a probabilistic approach. A new methodology was developed to combine...

  13. Discrete time modeling of heavy transport plane pilot behavior

    Science.gov (United States)

    Cavalli, D.

    1977-01-01

    The desire to improve flight safety leads to a classification of various flight troubles in three groups: (1) troubles from sensitivity to flight disturbances, (2) maneuverability troubles (whenever a correction maneuver induces an unexpected deviation on another parameter), and (3) pilot troubles (pilot overload when required attention is excessive or underload entailing a loss of vigilance). Sensitivity to disturbances and maneuverability of a given aircraft may be evaluated from the early design stage. Evaluation of the pilot behavior, however, may be realized only in actual flight or with a flight simulator, that is quite late in the development period. For this reason, it is desirable to have available, at the design stage, a model of the pilot behavior to command the differential system describing the envisioned aircraft. This aim implies two major requirements. First, the program must be compatible with a wide range of possible aircraft designs; ideally, the program should be self-learning. Second, mental load and overall pilot performance must be modeled.

  14. Delinquent and Aggressive Behavior and Social Desirability Among Roma and Non-Roma Adolescents in Slovakia : A Cross-Sectional Study

    NARCIS (Netherlands)

    Kolarcik, Peter; Geckova, Andrea Madarasova; Reijneveld, Sijmen A.; van Dijk, Jitse P.

    Rates of aggression and delinquency are assumed to be higher among Roma and other minorities, but sound evidence of this is lacking. Our aim was to assess delinquent and aggressive behavior among Roma and non-Roma adolescents and the effects on ethnic differences of parental education and social

  15. Delinquent and Aggressive Behavior and Social Desirability Among Roma and Non-Roma Adolescents in Slovakia : A Cross-Sectional Study

    NARCIS (Netherlands)

    Kolarcik, Peter; Geckova, Andrea Madarasova; Reijneveld, Sijmen A.; van Dijk, Jitse P.

    2016-01-01

    Rates of aggression and delinquency are assumed to be higher among Roma and other minorities, but sound evidence of this is lacking. Our aim was to assess delinquent and aggressive behavior among Roma and non-Roma adolescents and the effects on ethnic differences of parental education and social des

  16. Analysis of Users Web Browsing Behavior Using Markov chain Model

    Directory of Open Access Journals (Sweden)

    Diwakar Shukla

    2011-03-01

    Full Text Available In present days of growing information technology, many browsers available for surfing and web mining. A user has option to use any of them at a time to mine out the desired website. Every browser has pre-defined level of popularity and reputation in the market. This paper considers the setup of only two browsers in a computer system and a user prefers to any one, if fails, switches to the other one .The behavior of user is modeled through Markov chain procedure and transition probabilities are calculated. The quitting to browsing is treated as a parameter of variation over the popularity. Graphical study is performed to explain the inter relationship between user behavior parameters and browser market popularity parameters. If rate of a company is lowest in terms of browser failure and lowest in terms of quitting probability then company enjoys better popularity and larger user proportion

  17. Multiaxial behavior of foams - Experiments and modeling

    Science.gov (United States)

    Maheo, Laurent; Guérard, Sandra; Rio, Gérard; Donnard, Adrien; Viot, Philippe

    2015-09-01

    Cellular materials are strongly related to pressure level inside the material. It is therefore important to use experiments which can highlight (i) the pressure-volume behavior, (ii) the shear-shape behavior for different pressure level. Authors propose to use hydrostatic compressive, shear and combined pressure-shear tests to determine cellular materials behavior. Finite Element Modeling must take into account these behavior specificities. Authors chose to use a behavior law with a Hyperelastic, a Viscous and a Hysteretic contributions. Specific developments has been performed on the Hyperelastic one by separating the spherical and the deviatoric part to take into account volume change and shape change characteristics of cellular materials.

  18. Desire Beyond Simpathy

    Directory of Open Access Journals (Sweden)

    Diana Patricia Zuluaga

    2006-12-01

    Full Text Available Resumen:La esquematización que realiza Jhon Bricke de Hume, me condujo a plantear ciertas preguntas que encuentran un terreno fértil en el análisis sobre la simpatía realizado por Hume. Esta propuesta plantea como hipótesis fundamental que el deseo de ser apreciado es el rasgo fundamental del ser apasionado, que Hume contempla en el Libro II del Tratado. Dicho deseo está vinculado a las afecciones de orgullo y aprecio, así como al ansia de aquellos bienes (riqueza, poder, belleza, virtud considerados por Hume causas de dichas afecciones. La hipótesis esclarece posibles relaciones entre las afecciones de aprecio y orgullo, simpatía y comparación, y hace posible una lectura particular del origen natural de la convención.Abstract:The central hypothesis set forth in this essay is that the desire to be appreciated is the fundamental feature of the passionate being, described by Hume in the context of his analysis of sympathy in Book II of the Treatise. That desire is linked to the affections of pride and appreciation, as well as to the yearning for those goods (wealth, power, beauty, and virtue, which Hume considers the causes of such affections. Said hypothesis clarifies the potential relationships between the affections of appreciation and pride, as well as of sympathy and comparison, and it makes possible a peculiar reading of the natural origin of convention.

  19. Organization customer behavior: Elected models

    Directory of Open Access Journals (Sweden)

    Maričić Branko

    2008-01-01

    Full Text Available Paper is dealing with business-to-business marketing issues with particular attention to some of models oriented to explain differences relative to FMCG marketing. Author describe the core principles of selected models including their basic features. In this paper some of models are in focus - Window and Webster-Window model as well as Sheets model, Nielsen model and Multivariation tools.

  20. Micromechanical Behavior and Modelling of Granular Soil

    Science.gov (United States)

    1989-07-01

    elasticity, hypoelasticity , plasticity and viscoplasticity. Despite the large number of models , there is no consensus yet within the research community on...Classification) (U) Micromechanical Behavior and Modelling of Granular MOWo I... 12. PERSONAL AUTHOR(S) Emmanuel Petrakis and Ricardo Dobry 13a. TYPE OF...Institute (RPI) on the behavior and modelling of granular media is summarized. The final objective is to develol a constitutive law for granular soil

  1. Modeling admissible behavior using event signals.

    Science.gov (United States)

    Pinzon, Luz; Jafari, Mohsen A; Hanisch, Hans-Michael; Zhao, Peng

    2004-06-01

    We describe here how to obtain a model for the admissible behavior of a discrete event system that is represented by a safe Petri net (PN) model. The transitions of this PN model may be controllable or uncontrollable. Also given is a sequential specification which is modeled with a special state machine. Then, using the condition and event arcs of net condition/event systems, a combined model of plant and specification is obtained. We use only the structure of this combined model to develop a method which gives the admissible behavior of the system. Thus, we avoid the complexity of a complete state enumeration.

  2. Modeling the thermotaxis behavior of C.elegans based on the artificial neural network.

    Science.gov (United States)

    Li, Mingxu; Deng, Xin; Wang, Jin; Chen, Qiaosong; Tang, Yun

    2016-07-03

    ASBTRACT This research aims at modeling the thermotaxis behavior of C.elegans which is a kind of nematode with full clarified neuronal connections. Firstly, this work establishes the motion model which can perform the undulatory locomotion with turning behavior. Secondly, the thermotaxis behavior is modeled by nonlinear functions and the nonlinear functions are learned by artificial neural network. Once the artificial neural networks have been well trained, they can perform the desired thermotaxis behavior. Last, several testing simulations are carried out to verify the effectiveness of the model for thermotaxis behavior. This work also analyzes the different performances of the model under different environments. The testing results reveal the essence of the thermotaxis of C.elegans to some extent, and theoretically support the research on the navigation of the crawling robots.

  3. Modeling the thermotaxis behavior of C.elegans based on the artificial neural network

    Science.gov (United States)

    Li, Mingxu; Deng, Xin; Wang, Jin; Chen, Qiaosong; Tang, Yun

    2016-01-01

    ASBTRACT This research aims at modeling the thermotaxis behavior of C.elegans which is a kind of nematode with full clarified neuronal connections. Firstly, this work establishes the motion model which can perform the undulatory locomotion with turning behavior. Secondly, the thermotaxis behavior is modeled by nonlinear functions and the nonlinear functions are learned by artificial neural network. Once the artificial neural networks have been well trained, they can perform the desired thermotaxis behavior. Last, several testing simulations are carried out to verify the effectiveness of the model for thermotaxis behavior. This work also analyzes the different performances of the model under different environments. The testing results reveal the essence of the thermotaxis of C.elegans to some extent, and theoretically support the research on the navigation of the crawling robots. PMID:27286293

  4. Tests of constituent-quark generation methods which maintain both the nucleon center of mass and the desired radial distribution in Monte Carlo Glauber models

    CERN Document Server

    Mitchell, J T; Tannenbaum, M J; Stankus, P W

    2016-01-01

    Several methods of generating three constituent-quarks in a nucleon are evaluated which explicitly maintain the nucleon's center of mass and desired radial distribution and can be used within Monte Carlo Glauber frameworks. The geometric models provided by each method are used to generate distributions over the Number of Constituent Quark Participants ($N_{qp}$) in $p+p$, $d+$Au and Au$+$Au collisions. The results are compared with each other and to a previous result of $N_{qp}$ calculations, without this explicit constraint, used in measurements of $\\sqrt{s_{_{NN}}}$=200 GeV $p+p$, $d+$Au and Au$+$Au collisions at RHIC.

  5. A Factor-Based Exploration of Player´s Continuation Desire in Free-to-Play Mobile Games

    DEFF Research Database (Denmark)

    Stankevicius, Deividas; Jady, Hawraa Amira; Drachen, Anders

    2015-01-01

    experience, motivation and enjoyment, yet difficult to measure. These concepts were conceptualized into different factors and thereby it was identified which of them are re-lated. This resulted in a synthesized model that was based on the Theory of Planned Behavior model. This model takes into account......This paper explores the concept of Continuation Desire fur-ther by investigating the behavioral intent of players’ desire to keep playing. User experience is a complex, multifaceted topic, which is commonly studied through different aspects namely engagement, continuation desire, immersion, flow...

  6. Effects of mixing in threshold models of social behavior

    Science.gov (United States)

    Akhmetzhanov, Andrei R.; Worden, Lee; Dushoff, Jonathan

    2013-07-01

    We consider the dynamics of an extension of the influential Granovetter model of social behavior, where individuals are affected by their personal preferences and observation of the neighbors’ behavior. Individuals are arranged in a network (usually the square lattice), and each has a state and a fixed threshold for behavior changes. We simulate the system asynchronously by picking a random individual and we either update its state or exchange it with another randomly chosen individual (mixing). We describe the dynamics analytically in the fast-mixing limit by using the mean-field approximation and investigate it mainly numerically in the case of finite mixing. We show that the dynamics converge to a manifold in state space, which determines the possible equilibria, and show how to estimate the projection of this manifold by using simulated trajectories, emitted from different initial points. We show that the effects of considering the network can be decomposed into finite-neighborhood effects, and finite-mixing-rate effects, which have qualitatively similar effects. Both of these effects increase the tendency of the system to move from a less-desired equilibrium to the “ground state.” Our findings can be used to probe shifts in behavioral norms and have implications for the role of information flow in determining when social norms that have become unpopular in particular communities (such as foot binding or female genital cutting) persist or vanish.

  7. Sex Differences in Judgments of Social Desirability.

    Science.gov (United States)

    Paunonen, Sampo V

    2016-08-01

    This study evaluates sex differences in the perceived desirability of personality behaviors and beliefs. Men and women (N = 149, Mage  = 18.7) judged the social desirability scale values (SDSVs) of 150 personality statements as applied either to a male target or a female target. For comparison, some estimated SDSVs with no target sex specified. A separate sample of 537 respondents endorsed the 150 items via self-report. Raters showed a high consensus in their SDSV judgments within conditions (α = .86 to .90) and no sex-of-rater effects across conditions. Substantial sex-of-target effects (p desirable for one sex but not for the other. The behaviors seen as more (less) desirable when applied to men rather than to women were endorsed more (less) by men than by women in the respondent sample. Similar results were found when no target sex was specified for the SDSV ratings, presumably because judges evaluated the behaviors as applied to a target of their own sex. The present results have important implications for the measurement and reporting of SDSVs, the evaluation of substance versus style in self-reports, and the construction of desirability-reduced personality inventories. © 2015 Wiley Periodicals, Inc.

  8. Drinking and desired self-images: path models of self-image goals, coping motives, heavy-episodic drinking, and alcohol problems.

    Science.gov (United States)

    Moeller, Scott J; Crocker, Jennifer

    2009-06-01

    Coping motives for drinking initiate alcohol-related problems. Interpersonal goals, which powerfully influence affect, could provide a starting point for this relation. Here we tested effects of self-image goals (which aim to construct and defend desired self-views) and compassionate goals (which aim to support others) on heavy-episodic drinking and alcohol-related problems. Undergraduate drinkers (N=258) completed measures of self-image and compassionate goals in academics and friendships, coping and enhancement drinking motives, heavy-episodic drinking, and alcohol-related problems in a cross-sectional design. As predicted, self-image goals, but not compassionate goals, positively related to alcohol-related problems. Path models showed that self-image goals relate to coping motives, but not enhancement motives; coping motives then relate to heavy-episodic drinking, which in turn relate to alcohol-related problems. Self-image goals remained a significant predictor in the final model, which accounted for 34% of the variance in alcohol-related problems. These findings indicate that self-image goals contribute to alcohol-related problems in college students both independently and through coping motives. Interventions can center on reducing self-image goals and their attendant negative affect.

  9. Modeling cell behavior: moving beyond intuition

    Directory of Open Access Journals (Sweden)

    Mario Jolicoeur

    2014-04-01

    Full Text Available In the context of the launching of this new journal, we propose a forum to the community of researchers interested and involved in, or even simply questioning the why, what, how, and when of modeling cell or cell culture behavior. To start the discussion, we review some of the usual questions we are routinely asked on the pertinence of modeling cell behavior, and on who might benefit from conducting such work. To draw a global portrait, throughout this text we refer the reader to handbooks introducing the basics of modeling a biosystem, as well as to selected works that can help visualize the broad fields of applications.

  10. Critical behavior of a dynamical percolation model

    Institute of Scientific and Technical Information of China (English)

    YU Mei-Ling; XU Ming-Mei; LIU Zheng-You; LIU Lian-Shou

    2009-01-01

    The critical behavior of the dynamical percolation model, which realizes the molecular-aggregation conception and describes the crossover between the hadronic phase and the partonic phase, is studied in detail. The critical percolation distance for this model is obtained by using the probability P∞ of the appearance of an infinite cluster. Utilizing the finite-size scaling method the critical exponents γ/v and T are extracted from the distribution of the average cluster size and cluster number density. The influences of two model related factors, I.e. The maximum bond number and the definition of the infinite cluster, on the critical behavior are found to be small.

  11. Models of iodine behavior in reactor containments

    Energy Technology Data Exchange (ETDEWEB)

    Weber, C.F.; Beahm, E.C.; Kress, T.S.

    1992-10-01

    Models are developed for many phenomena of interest concerning iodine behavior in reactor containments during severe accidents. Processes include speciation in both gas and liquid phases, reactions with surfaces, airborne aerosols, and other materials, and gas-liquid interface behavior. Although some models are largely empirical formulations, every effort has been made to construct mechanistic and rigorous descriptions of relevant chemical processes. All are based on actual experimental data generated at the Oak Ridge National Laboratory (ORNL) or elsewhere, and, hence, considerable data evaluation and parameter estimation are contained in this study. No application or encoding is attempted, but each model is stated in terms of rate processes, with the intention of allowing mechanistic simulation. Taken together, this collection of models represents a best estimate iodine behavior and transport in reactor accidents.

  12. Machine Learning Approaches for Modeling Spammer Behavior

    CERN Document Server

    Islam, Md Saiful; Islam, Md Rafiqul

    2010-01-01

    Spam is commonly known as unsolicited or unwanted email messages in the Internet causing potential threat to Internet Security. Users spend a valuable amount of time deleting spam emails. More importantly, ever increasing spam emails occupy server storage space and consume network bandwidth. Keyword-based spam email filtering strategies will eventually be less successful to model spammer behavior as the spammer constantly changes their tricks to circumvent these filters. The evasive tactics that the spammer uses are patterns and these patterns can be modeled to combat spam. This paper investigates the possibilities of modeling spammer behavioral patterns by well-known classification algorithms such as Na\\"ive Bayesian classifier (Na\\"ive Bayes), Decision Tree Induction (DTI) and Support Vector Machines (SVMs). Preliminary experimental results demonstrate a promising detection rate of around 92%, which is considerably an enhancement of performance compared to similar spammer behavior modeling research.

  13. Modeling behavioral considerations related to information security.

    Energy Technology Data Exchange (ETDEWEB)

    Martinez-Moyano, I. J.; Conrad, S. H.; Andersen, D. F. (Decision and Information Sciences); (SNL); (Univ. at Albany)

    2011-01-01

    The authors present experimental and simulation results of an outcome-based learning model for the identification of threats to security systems. This model integrates judgment, decision-making, and learning theories to provide a unified framework for the behavioral study of upcoming threats.

  14. Behavior genetic modeling of human fertility

    DEFF Research Database (Denmark)

    Rodgers, J L; Kohler, H P; Kyvik, K O;

    2001-01-01

    Try) and number of children (NumCh). Behavior genetic models were fitted using structural equation modeling and DF analysis. A consistent medium-level additive genetic influence was found for NumCh, equal across genders; a stronger genetic influence was identified for FirstTry, greater for females than for males...

  15. Concept-Oriented Modeling of Dynamic Behavior

    NARCIS (Netherlands)

    Breedveld, P.C.; Borutzky, Wolfgang

    2011-01-01

    This chapter introduces the reader to the concept-oriented approach to modeling that clearly separates ideal concepts from the physical components of a system when modeling its dynamic behavior for a specific problem context. This is done from a port-based point of view for which the domain-independ

  16. Applying incentive sensitization models to behavioral addiction

    DEFF Research Database (Denmark)

    Rømer Thomsen, Kristine; Fjorback, Lone; Møller, Arne

    2014-01-01

    The incentive sensitization theory is a promising model for understanding the mechanisms underlying drug addiction, and has received support in animal and human studies. So far the theory has not been applied to the case of behavioral addictions like Gambling Disorder, despite sharing clinical...... symptoms and underlying neurobiology. We examine the relevance of this theory for Gambling Disorder and point to predictions for future studies. The theory promises a significant contribution to the understanding of behavioral addiction and opens new avenues for treatment....

  17. Organizational buying behavior: An integrated model

    Directory of Open Access Journals (Sweden)

    Rakić Beba

    2002-01-01

    Full Text Available Organizational buying behavior is decision making process by which formal organizations establish the need for purchased products and services, and identify, evaluate, and choose among alternative brands and suppliers. Understanding the buying decision processes is essential to developing the marketing programs of companies that sell to organizations, or to 'industrial customers'. In business (industrial marketing, exchange relationships between the organizational selling center and the organizational buying center are crucial. Integrative model of organizational buying behavior offers a systematic framework in analyzing the complementary factors and what effect they have on the behavior of those involved in making buying decisions.

  18. NON-BEHAVIORAL MODELS OF PSYCHOSIS

    Directory of Open Access Journals (Sweden)

    Parle Milind

    2013-08-01

    Full Text Available Animal models have become indispensible tools for discovering new medicines and in the analysis of multitude of causes, bio-markers and pathophysiological changes, which bring about symptoms characteristics of a specific disorder. One of the biggest challenges in discovering medicines for psychosis is to find an appropriate animal model of this illness possessing fair face validity, construct validity, and predictive validity. We had explained in detail behavioral models of psychosis in our previous article. In the present review article, the authors have described various non-behavioral models such as pharmacological models (administering specific chemicals, genetic models (through genetic manipulation, lesion models (lesion of selected brain parts and neuro-developmental models employed for screening anti-psychotic agents. All these animal models imitate schizophrenic defects in some manner. Traditionally, pharmacological models (drug/chemical-induced psychosis were the most widely used. These models involve the manipulation of dopaminergic, glutamatergic, serotonergic, or GABA-ergic systems. In Lesion models, selected area of an animal's brain is damaged, to induce psychosis-like symptoms. Genetic factors also play a prominent role in many psychiatric disorders and numerous putative candidate genes have been identified. Neurodevelopmental models are based on the fact that schizophrenia can be caused due to prenatal exposure to certain viruses. The animals usually employed for the development of these models include rats, mice, and primates. The specific animal models developed within these frameworks are described in this review article.

  19. Explaining clinical behaviors using multiple theoretical models.

    Science.gov (United States)

    Eccles, Martin P; Grimshaw, Jeremy M; MacLennan, Graeme; Bonetti, Debbie; Glidewell, Liz; Pitts, Nigel B; Steen, Nick; Thomas, Ruth; Walker, Anne; Johnston, Marie

    2012-10-17

    In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays) of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB), Social Cognitive Theory (SCT), and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM). We constructed self-report measures of two constructs from Learning Theory (LT), a measure of Implementation Intentions (II), and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures) and two interim outcome measures (stated behavioral intention and simulated behavior) by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources) were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of the five surveys. For the predictor variables

  20. Explaining clinical behaviors using multiple theoretical models

    Directory of Open Access Journals (Sweden)

    Eccles Martin P

    2012-10-01

    Full Text Available Abstract Background In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. Methods These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB, Social Cognitive Theory (SCT, and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM. We constructed self-report measures of two constructs from Learning Theory (LT, a measure of Implementation Intentions (II, and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures and two interim outcome measures (stated behavioral intention and simulated behavior by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Results Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of

  1. Modeling aggressive driver behavior at unsignalized intersections.

    Science.gov (United States)

    Kaysi, Isam A; Abbany, Ali S

    2007-07-01

    The processing of vehicles at unsignalized intersections is a complex and highly interactive process, whereby each driver makes individual decisions about when, where, and how to complete the required maneuver, subject to his perceptions of distances, velocities, and own car's performance. Typically, the performance of priority-unsignalized intersections has been modeled with probabilistic approaches that consider the distribution of gaps in the major-traffic stream and their acceptance by the drivers of minor street vehicles based on the driver's "critical gap". This paper investigates the aggressive behavior of minor street vehicles at intersections that are priority-unsignalized but operate with little respect of control measures. The objective is to formulate a behavioral model that predicts the probability that a driver performs an aggressive maneuver as a function of a set of driver and traffic attributes. Parameters that were tested and modeled include driver characteristics (gender and age), car characteristics (performance and model year), and traffic attributes (number of rejected gaps, total waiting time at head of queue, and major-traffic speed). Binary probit models are developed and tested, based on a collected data set from an unsignalized intersection in the city of Beirut, to determine which of the studied variables are statistically significant in determining the aggressiveness of a specific driver. Primary conclusions reveal that age, car performance, and average speed on the major road are the major determinants of aggressive behavior. Another striking conclusion is that the total waiting time of the driver while waiting for an acceptable gap is of little significance in incurring the "forcing" behavior. The obtained model is incorporated in a simple simulation framework that reflects driver behavior and traffic stream interactions in estimating delay and conflict measures at unsignalized intersections. The simulation results were then compared

  2. Behavioral modeling of Digitally Adjustable Current Amplifier

    OpenAIRE

    Josef Polak; Lukas Langhammer; Jan Jerabek

    2015-01-01

    This article presents the digitally adjustable current amplifier (DACA) and its analog behavioral model (ABM), which is suitable for both ideal and advanced analyses of the function block using DACA as active element. There are four levels of this model, each being suitable for simulation of a certain degree of electronic circuits design (e.g. filters, oscillators, generators). Each model is presented through a schematic wiring in the simulation program OrCAD, including a description of equat...

  3. Behavior genetic modeling of human fertility

    DEFF Research Database (Denmark)

    Rodgers, J L; Kohler, H P; Kyvik, K O

    2001-01-01

    Try) and number of children (NumCh). Behavior genetic models were fitted using structural equation modeling and DF analysis. A consistent medium-level additive genetic influence was found for NumCh, equal across genders; a stronger genetic influence was identified for FirstTry, greater for females than for males......Behavior genetic designs and analysis can be used to address issues of central importance to demography. We use this methodology to document genetic influence on human fertility. Our data come from Danish twin pairs born from 1953 to 1959, measured on age at first attempt to get pregnant (First...

  4. Rethinking Trait Conceptions of Social Desirability Scales

    DEFF Research Database (Denmark)

    de Vries, Reinout E.; Zettler, Ingo; Hilbig, Benjamin E.

    2014-01-01

    Numerous researchers have noted that, instead of response sets or styles, most social desirability scales seem to measure personality traits instead. In two studies, we investigated the substantive interpretation of the Balanced Inventory of Desirable Responding in terms of the HEXACO model of pe...... and Agreeableness, but Honesty-Humility was by far its most important predictor. In a subsample (n = 465), Honesty-Humility and IM were unrelated to GPA....

  5. Behavioral effects in room evacuation models

    Science.gov (United States)

    Dossetti, V.; Bouzat, S.; Kuperman, M. N.

    2017-08-01

    In this work we study a model for the evacuation of pedestrians from an enclosure considering a continuous space substrate and discrete time. We analyze the influence of behavioral features that affect the use of the empty space, that can be linked to the attitudes or characters of the pedestrians. We study how the interaction of different behavioral profiles affects the needed time to evacuate completely a room and the occurrence of clogging. We find that neither fully egotistic nor fully cooperative attitudes are optimal from the point of view of the crowd. In contrast, intermediate behaviors provide lower evacuation times. This leads us to identify some phenomena closely analogous to the faster-is-slower effect. The proposed model allows for distinguishing between the role of the attitudes in the search for empty space and the attitudes in the conflicts.

  6. Knowledge Map: Mathematical Model and Dynamic Behaviors

    Institute of Scientific and Technical Information of China (English)

    Hai Zhuge; Xiang-Feng Luo

    2005-01-01

    Knowledge representation and reasoning is a key issue of the Knowledge Grid. This paper proposes a Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in the Knowledge Grid. It extends Fuzzy Cognitive Maps (FCMs) to represent and reason not only simple cause-effect relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. The mathematical model and dynamic behaviors of KM are presented. Experiments show that, under certain conditions, the dynamic behaviors of KM can translate between different states. Knowing this condition, experts can control or modify the constructed KM while its dynamic behaviors do not accord with their expectation. Simulations and applications show that KM is more powerful and natural than FCM in emulating real world.

  7. Error Resilient Video Compression Using Behavior Models

    Directory of Open Access Journals (Sweden)

    Jacco R. Taal

    2004-03-01

    Full Text Available Wireless and Internet video applications are inherently subjected to bit errors and packet errors, respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore, it is necessary to develop methods to optimize the video compression parameters and the rate allocation of these applications that take into account residual channel bit errors. In this paper, we study the behavior of a predictive (interframe video encoder and model the encoders behavior using only the statistics of the original input data and of the underlying channel prone to bit errors. The resulting data-driven behavior models are then used to carry out group-of-pictures partitioning and to control the rate of the video encoder in such a way that the overall quality of the decoded video with compression and channel errors is optimized.

  8. Hysteretic behavior modeling of elastoplastic materials

    Directory of Open Access Journals (Sweden)

    Šumarac Dragoslav

    2008-01-01

    Full Text Available In the present paper the Preisach model of hysteresis is applied to model cyclic behavior of elasto-plastic material. Rate of loading and viscous effects will not be considered. The problem of axial loading of rectangular cross section and cyclic bending of rectangular tube (box will be studied in details. Hysteretic stress-strain loop for prescribed history of stress change is plotted for material modeled by series connection of three unite element. Also moment-curvature hysteretic loop is obtained for a prescribed curvature change of rectangular tube (box. One chapter of the paper is devoted to results obtained by FEM using Finite Element Code ABAQUS. All obtained results clearly show advantages of the Preisach model for describing cyclic behavior of elasto-plastic material.

  9. Modeling landowner behavior regarding forest certification

    Science.gov (United States)

    David C. Mercker; Donald G. Hodges

    2008-01-01

    Nonindustrial private forest owners in western Tennessee were surveyed to assess their awareness, acceptance, and perceived benefits of forest certification. More than 80 percent of the landowners indicated a willingness to consider certification for their lands. A model was created to explain landowner behavior regarding their willingness to consider certification....

  10. Applying incentive sensitization models to behavioral addiction

    DEFF Research Database (Denmark)

    Rømer Thomsen, Kristine; Fjorback, Lone; Møller, Arne

    2014-01-01

    The incentive sensitization theory is a promising model for understanding the mechanisms underlying drug addiction, and has received support in animal and human studies. So far the theory has not been applied to the case of behavioral addictions like Gambling Disorder, despite sharing clinical...

  11. MODELING OPERANT BEHAVIOR IN THE PARKINSONIAN RAT

    OpenAIRE

    Avila, Irene; Reilly, Mark P; Sanabria, Federico; Posadas-Sánchez, Diana; Chavez, Claudia L.; Banerjee, Nikhil; Killeen, Peter; Castañeda, Edward

    2008-01-01

    Mathematical principles of reinforcement (MPR; Killeen, 1994) is a quantitative model of operant behavior that contains 3 parameters representing motor capacity (δ), motivation (a), and short term memory (λ). The present study applied MPR to characterize the effects of bilateral infusions of 6-OHDA into the substantia nigra pars compacta in the rat, a model of Parkinson’s disease. Rats were trained to lever press under a 5-component fixed ratio (5, 15, 30, 60, and 100) schedule of food reinfo...

  12. A Quasi-Linear Behavioral Model and an Application to Self-Directed Learning

    Science.gov (United States)

    Ponton, Michael K.; Carr, Paul B.

    1999-01-01

    A model is presented that describes the relationship between one's knowledge of the world and the concomitant personal behaviors that serve as a mechanism to obtain desired outcomes. Integrated within this model are the differing roles that outcomes serve as motivators and as modifiers to one's worldview. The model is dichotomized between general and contextual applications. Because learner self-directedness (a personal characteristic) involves cognition and affection while self-directed learning (a pedagogic process) encompasses conation, behavior and introspection, the model can be dichotomized again in another direction. Presented also are the roles that cognitive motivation theories play in moving an individual through this behavioral model and the roles of wishes, self-efficacy, opportunity and self-influence.

  13. Desired change in couples: gender differences and effects on communication.

    Science.gov (United States)

    Heyman, Richard E; Hunt-Martorano, Ashley N; Malik, Jill; Slep, Amy M Smith

    2009-08-01

    Using a sample (N = 453) drawn from a representative sampling frame of couples who are married or living together and have a 3 to 7 year-old child, this study investigates (a) the amount and specific areas of change desired by men and women, (b) the relation between relationship adjustment and desired change; and (c) the ways in which partners negotiate change. On the Areas of Change Questionnaire, women compared with men, wanted greater increases in their partners' emotional and companionate behaviors, instrumental support, and parenting involvement; men wanted greater increases in sex. Using the Actor-Partner Interdependence Model (Kenny, 1996), both men's and women's relationship adjustment predicted desired change (i.e., actor effects), over and above the effects of their partners' adjustment (i.e., partner effects); partner effects were not significant. Each couple was also observed discussing the man's and the woman's top desired change area. Both men and women behaved more positively during the partner-initiated conversations than during their own-initiated conversations. Women, compared with men, were more negative in their own and in their partners' conversations.

  14. Paedophilia, Sexual Desire, and Perversity.

    Science.gov (United States)

    Spiecker, Ben; Steutel, Jan

    1997-01-01

    Criticizes justifications given by pedophiles for having sex with children, including an analysis of "sexual desire" and "erotic." Raises the question of whether pedophile activities can ever be morally permissible. Uses principles of mutual consent and non-exploitation to answer negatively. Examines whether pedophile desires can be regarded as…

  15. The neural correlates of desire.

    Directory of Open Access Journals (Sweden)

    Hideaki Kawabata

    Full Text Available In an event-related fMRI study, we scanned eighteen normal human subjects while they viewed three categories of pictures (events, objects and persons which they classified according to desirability (desirable, indifferent or undesirable. Each category produced activity in a distinct part of the visual brain, thus reflecting its functional specialization. We used conjunction analysis to learn whether there is a brain area which is always active when a desirable picture is viewed, regardless of the category to which it belongs. The conjunction analysis of the contrast desirable > undesirable revealed activity in the superior orbito-frontal cortex. This activity bore a positive linear relationship to the declared level of desirability. The conjunction analysis of desirable > indifferent revealed activity in the mid-cingulate cortex and in the anterior cingulate cortex. In the former, activity was greater for desirable and undesirable stimuli than for stimuli classed as indifferent. Other conjunction analyses produced no significant effects. These results show that categorizing any stimulus according to its desirability activates three different brain areas: the superior orbito-frontal, the mid-cingulate, and the anterior cingulate cortices.

  16. Behavior and Design Intent Based Product Modeling

    Directory of Open Access Journals (Sweden)

    László Horváth

    2004-11-01

    Full Text Available A knowledge based modeling of mechanical products is presented for industrial CAD/CAM systems. An active model is proposed that comprise knowledge from modeling procedures, generic part models and engineers. Present day models of mechanical systems do not contain data about the background of human decisions. This situation motivated the authors at their investigations on exchange design intent information between engineers. Their concept was extending of product models to be capable of description of design intent information. Several human-computer and human-human communication issues were considered. The complex communication problem has been divided into four sub-problems, namely communication of human intent source with the computer system, representation of human intent, exchange of intent data between modeling procedures and communication of the represented intent with humans. Paper discusses the scenario of intelligent modeling based engineering. Then key concepts for the application of computational intelligence in computer model based engineering systems are detailed including knowledge driven models as well as areas of their application. Next, behavior based models with intelligent content involving specifications and knowledge for the design processes are emphasized and an active part modeling is proposed and possibilities for its application are outlined. Finally, design intent supported intelligent modeling is discussed.

  17. Behavioral modeling of Digitally Adjustable Current Amplifier

    Directory of Open Access Journals (Sweden)

    Josef Polak

    2015-03-01

    Full Text Available This article presents the digitally adjustable current amplifier (DACA and its analog behavioral model (ABM, which is suitable for both ideal and advanced analyses of the function block using DACA as active element. There are four levels of this model, each being suitable for simulation of a certain degree of electronic circuits design (e.g. filters, oscillators, generators. Each model is presented through a schematic wiring in the simulation program OrCAD, including a description of equations representing specific functions in the given level of the simulation model. The design of individual levels is always verified using PSpice simulations. The ABM model has been developed based on practically measured values of a number of DACA amplifier samples. The simulation results for proposed levels of the ABM model are shown and compared with the results of the real easurements of the active element DACA.

  18. Stabilization effect of multiple drivers' desired velocities in car-following theory

    Science.gov (United States)

    Zhang, Geng; Zhao, Min; Sun, Di-Hua; Liu, Wei-Ning; Li, Hua-Min

    2016-01-01

    In order to reveal the influence of driver's individual behavior on traffic flow more accurately, a new car-following model is proposed with consideration of multiple drives' desired velocities. The stability criterion of the new model is derived through linear stability theory and the results show that the current driver's desired velocity can stabilize traffic flow but the preceding driver's desired velocity can damage traffic stability. Through nonlinear analysis, the traffic jamming transition characteristics near the critical point can be described by the kink-antikink soliton of the mKdV equation. Numerical simulation confirms the analytical results, which shows that the multiple drivers' desired velocities play an important role in traffic evolution.

  19. Aids to determining fuel models for estimating fire behavior

    Science.gov (United States)

    Hal E. Anderson

    1982-01-01

    Presents photographs of wildland vegetation appropriate for the 13 fuel models used in mathematical models of fire behavior. Fuel model descriptions include fire behavior associated with each fuel and its physical characteristics. A similarity chart cross-references the 13 fire behavior fuel models to the 20 fuel models used in the National Fire Danger Rating System....

  20. Behavioral modeling and analysis of galvanic devices

    Science.gov (United States)

    Xia, Lei

    2000-10-01

    A new hybrid modeling approach was developed for galvanic devices including batteries and fuel cells. The new approach reduces the complexity of the First Principles method and adds a physical basis to the empirical methods. The resulting general model includes all the processes that affect the terminal behavior of the galvanic devices. The first step of the new model development was to build a physics-based structure or framework that reflects the important physiochemical processes and mechanisms of a galvanic device. Thermodynamics, electrode kinetics, mass transport and electrode interfacial structure of an electrochemical cell were considered and included in the model. Each process of the cell is represented by a clearly-defined and familiar electrical component, resulting in an equivalent circuit model for the galvanic device. The second step was to develop a parameter identification procedure that correlates the device response data to the parameters of the components in the model. This procedure eliminates the need for hard-to-find data on the electrochemical properties of the cell and specific device design parameters. Thus, the model is chemistry and structure independent. Implementation issues of the new modeling approach were presented. The validity of the new model over a wide range of operating conditions was verified with experimental data from actual devices. The new model was used in studying the characteristics of galvanic devices. Both the steady-state and dynamic behavior of batteries and fuel cells was studied using the impedance analysis techniques. The results were used to explain some experimental results of galvanic devices such as charging and pulsed discharge. The knowledge gained from the device analysis was also used in devising new solutions to application problems such as determining the state of charge of a battery or the maximum power output of a fuel cell. With the new model, a system can be designed that utilizes a galvanic device

  1. Driver Behavior Modeling: Developments and Future Directions

    Directory of Open Access Journals (Sweden)

    Najah AbuAli

    2016-01-01

    Full Text Available The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM, only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.

  2. Complex Behaviors of a Simple Traffic Model

    Institute of Scientific and Technical Information of China (English)

    GAO Xing-Ru

    2006-01-01

    In this paper, we propose a modified traffic model in which a single car moves through a sequence of traffic lights controlled by a step function instead of a sine function. In contrast to the previous work [Phys. Rev. E 70 (2004)016107], we have investigated in detail the dependence of the behavior on four parameters, ω, α, η, and a1, and given three kinds of bifurcation diagrams, which show three kinds of complex behaviors. We have found that in this model there are chaotic and complex periodic motions, as well as special singularities. We have also analyzed the characteristic of the complex period motion and the essential feature of the singularity.

  3. Model "Big Five" personality and criminal behavior

    OpenAIRE

    Sánchez-Teruel, David; Profesor, Departamento de Psicología-Área de Psicología Social, Facultad de Humanidades y Ciencias de la Educación, España.; Robles-Bello, Mª Auxiliadora; Profesor, Departamento de Psicología-Área de Psicología Social, Facultad de Humanidades y Ciencias de la Educación, España.

    2013-01-01

    It reflect on the theoretical issues that currently versa Personality Psychology in general and antisocial or criminal behavior in particular. It discusses how the model can be used personality "Big Five" applied to the field of crime, and shows the variables that the literature presented as more predictive, through one of the most widely used assessment instruments at present. It currently advises finding, meeting points between the various existing theories, for that personality does not be...

  4. Behavioral Reference Model for Pervasive Healthcare Systems.

    Science.gov (United States)

    Tahmasbi, Arezoo; Adabi, Sahar; Rezaee, Ali

    2016-12-01

    The emergence of mobile healthcare systems is an important outcome of application of pervasive computing concepts for medical care purposes. These systems provide the facilities and infrastructure required for automatic and ubiquitous sharing of medical information. Healthcare systems have a dynamic structure and configuration, therefore having an architecture is essential for future development of these systems. The need for increased response rate, problem limited storage, accelerated processing and etc. the tendency toward creating a new generation of healthcare system architecture highlight the need for further focus on cloud-based solutions for transfer data and data processing challenges. Integrity and reliability of healthcare systems are of critical importance, as even the slightest error may put the patients' lives in danger; therefore acquiring a behavioral model for these systems and developing the tools required to model their behaviors are of significant importance. The high-level designs may contain some flaws, therefor the system must be fully examined for different scenarios and conditions. This paper presents a software architecture for development of healthcare systems based on pervasive computing concepts, and then models the behavior of described system. A set of solutions are then proposed to improve the design's qualitative characteristics including, availability, interoperability and performance.

  5. Animal Models of Compulsive Eating Behavior

    Directory of Open Access Journals (Sweden)

    Matteo Di Segni

    2014-10-01

    Full Text Available Eating disorders are multifactorial conditions that can involve a combination of genetic, metabolic, environmental, and behavioral factors. Studies in humans and laboratory animals show that eating can also be regulated by factors unrelated to metabolic control. Several studies suggest a link between stress, access to highly palatable food, and eating disorders. Eating “comfort foods” in response to a negative emotional state, for example, suggests that some individuals overeat to self-medicate. Clinical data suggest that some individuals may develop addiction-like behaviors from consuming palatable foods. Based on this observation, “food addiction” has emerged as an area of intense scientific research. A growing body of evidence suggests that some aspects of food addiction, such as compulsive eating behavior, can be modeled in animals. Moreover, several areas of the brain, including various neurotransmitter systems, are involved in the reinforcement effects of both food and drugs, suggesting that natural and pharmacological stimuli activate similar neural systems. In addition, several recent studies have identified a putative connection between neural circuits activated in the seeking and intake of both palatable food and drugs. The development of well-characterized animal models will increase our understanding of the etiological factors of food addiction and will help identify the neural substrates involved in eating disorders such as compulsive overeating. Such models will facilitate the development and validation of targeted pharmacological therapies.

  6. Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior

    NARCIS (Netherlands)

    Maness, M.; Cirillo, C.; Dugundji, E.R.

    2015-01-01

    Over the past two decades, transportation has begun a shift from an individual focus to a social focus. Accordingly, discrete choice models have begun to integrate social context into its framework. Social influence, the process of having one’s behavior be affected by others, has been one approach t

  7. Fertility Desire and Reproductive Health

    African Journals Online (AJOL)

    Understanding fertility desire and reproductive health care needs of HIV positive men and women in the era ... and related consequences. ... inform national policy decisions on PMTCT, HIV ... The study population was included proportional to.

  8. Behavior computing modeling, analysis, mining and decision

    CERN Document Server

    2012-01-01

    Includes six case studies on behavior applications Presents new techniques for capturing behavior characteristics in social media First dedicated source of references for the theory and applications of behavior informatics and behavior computing

  9. Zebra fish: an uncharted behavior genetic model.

    Science.gov (United States)

    Gerlai, Robert

    2003-09-01

    The zebra fish has been a preferred subject of genetic analysis. It produces a large number of offspring that can be kept in small aquaria, it can be easily mutagenized using chemical mutagens (e.g., ethyl nitrosourea [ENU]), and high-resolution genetic maps exist that aid identification of novel genes. Libraries containing large numbers of mutant fish have been generated, and the genetic mechanisms of the development of zebra fish, whose embryo is transparent, have been extensively studied. Given the extensive homology of its genome with that of other vertebrate species including our own and given the available genetic tools, zebra fish has become a popular model organism. Despite this popularity, however, surprisingly little is known about its behavior. It is argued that behavioral analysis is a powerful tool with which the function of the brain may be studied, and the zebra fish will represent an excellent subject of such analysis. The present paper is a proof of concept study that uses pharmacological manipulation (exposure to alcohol) to show that the zebra fish is amenable to the behavioral genetic analysis of aggression and thus may allow us to reveal molecular mechanisms of this behavioral phenomenon relevant to vertebrates.

  10. Agent-based modeling of sustainable behaviors

    CERN Document Server

    Sánchez-Maroño, Noelia; Fontenla-Romero, Oscar; Polhill, J; Craig, Tony; Bajo, Javier; Corchado, Juan

    2017-01-01

    Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

  11. Mob control models of threshold collective behavior

    CERN Document Server

    Breer, Vladimir V; Rogatkin, Andrey D

    2017-01-01

    This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling.

  12. An empirical behavioral model of price formation

    CERN Document Server

    Mike, S

    2005-01-01

    Although behavioral economics has demonstrated that there are many situations where rational choice is a poor empirical model, it has so far failed to provide quantitative models of economic problems such as price formation. We make a step in this direction by developing empirical models that capture behavioral regularities in trading order placement and cancellation using data from the London Stock Exchange. For order placement we show that the probability of placing an order at a given price is well approximated by a Student distribution with less than two degrees of freedom, centered on the best quoted price. This result is surprising because it implies that trading order placement is symmetric, independent of the bid-ask spread, and the same for buying and selling. We also develop a crude but simple cancellation model that depends on the position of an order relative to the best price and the imbalance between buying and selling orders in the limit order book. These results are combined to construct a sto...

  13. VOTERS DECIDE. CLASSICAL MODELS OF ELECTORAL BEHAVIOR.

    Directory of Open Access Journals (Sweden)

    Constantin SASU

    2015-04-01

    Full Text Available The decision to vote and choosing among the candidates is a extremely important one with repercussions on everyday life by determining, in global mode, its quality for the whole society. Therefore the whole process by which the voter decide becomes a central concern. In this paper we intend to locate the determinants of the vote decision in the electoral behavior classical theoretical models developed over time. After doing synthesis of classical schools of thought on electoral behavior we conclude that it has been made a journey through the mind, soul and cheek, as follows: the mind as reason in theory developed by Downs, soul as preferably for an actor in Campbell's theory, etc. and cheek as an expression of the impossibility of detachment from social groups to which we belong in Lazarsfeld's theory.

  14. Social class disparities in health and education: reducing inequality by applying a sociocultural self model of behavior.

    Science.gov (United States)

    Stephens, Nicole M; Markus, Hazel Rose; Fryberg, Stephanie A

    2012-10-01

    The literature on social class disparities in health and education contains 2 underlying, yet often opposed, models of behavior: the individual model and the structural model. These models refer to largely unacknowledged assumptions about the sources of human behavior that are foundational to research and interventions. Our review and theoretical integration proposes that, in contrast to how the 2 models are typically represented, they are not opposed, but instead they are complementary sets of understandings that inform and extend each other. Further, we elaborate the theoretical rationale and predictions for a third model: the sociocultural self model of behavior. This model incorporates and extends key tenets of the individual and structural models. First, the sociocultural self model conceptualizes individual characteristics (e.g., skills) and structural conditions (e.g., access to resources) as interdependent forces that mutually constitute each other and that are best understood together. Second, the sociocultural self model recognizes that both individual characteristics and structural conditions indirectly influence behavior through the selves that emerge in the situation. These selves are malleable psychological states that are a product of the ongoing mutual constitution of individuals and structures and serve to guide people's behavior by systematically shaping how people construe situations. The theoretical foundation of the sociocultural self model lays the groundwork for a more complete understanding of behavior and provides new tools for developing interventions that will reduce social class disparities in health and education. The model predicts that intervention efforts will be more effective at producing sustained behavior change when (a) current selves are congruent, rather than incongruent, with the desired behavior and (b) individual characteristics and structural conditions provide ongoing support for the selves that are necessary to support

  15. Doubling desire: The Yeatsian Daimon

    Directory of Open Access Journals (Sweden)

    N. Meihuizen

    2002-08-01

    Full Text Available Through the agency of Daimonic desire, Yeatsian spiritualism repeats empirical existence. In positing a desire that extends beyond the limits of individual human life, Yeats denies the definitive value of an exclusive finitude, such as that perceived by Michel Foucault in The Order of Things (1974. If Yeats, involved in a qualified manner in an aspect of Foucault’s analytic of finitude, is a modernist, he is related to that type Fredric Jameson calls the “anti-modern modernist” (Jameson, 1991:304, the modernist who reacts against modernisation. In discussing Daimonic desire, then, it is congruous with a reading of Yeats to do so both from the perspective of the empirical realm of the “dying generations”, and the spiritual realm of the “artifice of eternity”. In the first case the Daimon can surely be understood as a manifestation of the Zeitgeist, but how do we understand the spirits in the second case, who have transcended the ultimate limit of finitude, death itself, and who thus rock the three Foucauldian cornerstones of finitude – life, labour, and language, “marked by the spatiality of the body, the yawning of desire, and the time of language” (Foucault, 1974:315? Clearly, for Yeats, life is not limited by death; labour is not limited by a somnolent desire; and language is not confined within the span of a single life.

  16. Molecular Modeling of Solid Fluid Phase Behavior

    Energy Technology Data Exchange (ETDEWEB)

    Peter A. Monson

    2007-12-20

    This report gives a summary of the achievements under DOE contract No. DOE/ER/14150 during the period September 1, 1990 to December 31, 2007. This project was concerned with the molecular modeling of solid-fluid equilibrium. The focus was on understanding how solid-fluid and solid-solid phase behavior are related to molecular structure, and the research program made a seminal contribution in this area. The project led to 34 journal articles, including a comprehensive review article published in Advances in Chemical Physics. The DOE funding supported the work of 5 Ph.D. students, 2 M.S. students and 5 postdoctoral researchers.

  17. Behavioral and Statistical Models of Educational Inequality

    DEFF Research Database (Denmark)

    Holm, Anders; Breen, Richard

    2016-01-01

    This article addresses the question of how students and their families make educational decisions. We describe three types of behavioral model that might underlie decision-making, and we show that they have consequences for what decisions are made. Our study, thus, has policy implications if we...... wish to encourage students and their families to make better educational choices. We also establish the conditions under which empirical analysis can distinguish between the three sorts of decision-making, and we illustrate our arguments using data from the National Educational Longitudinal Study....

  18. Modeling creep behavior of fiber composites

    Science.gov (United States)

    Chen, J. L.; Sun, C. T.

    1988-01-01

    A micromechanical model for the creep behavior of fiber composites is developed based on a typical cell consisting of a fiber and the surrounding matrix. The fiber is assumed to be linearly elastic and the matrix nonlinearly viscous. The creep strain rate in the matrix is assumed to be a function of stress. The nominal stress-strain relations are derived in the form of differential equations which are solved numerically for off-axis specimens under uniaxial loading. A potential function and the associated effective stress and effective creep strain rates are introduced to simplify the orthotropic relations.

  19. Behavioral and Statistical Models of Educational Inequality

    DEFF Research Database (Denmark)

    Holm, Anders; Breen, Richard

    2016-01-01

    This paper addresses the question of how students and their families make educational decisions. We describe three types of behavioral model that might underlie decision-making and we show that they have consequences for what decisions are made. Our study thus has policy implications if we wish...... to encourage students and their families to make better educational choices. We also establish the conditions under which empirical analysis can distinguish between the three sorts of decision-making and we illustrate our arguments using data from the National Educational Longitudinal Study....

  20. Sexual desire, sexual arousal and hormonal differences in premenopausal US and Dutch women with and without low sexual desire

    NARCIS (Netherlands)

    J.R. Heiman; H. Rupp; E. Janssen; S.K. Newhouse; M. Brauer; E. Laan

    2011-01-01

    The interaction between women's hormonal condition and subjective, physiological, and behavioral indices of desire or arousal remains only partially explored, in spite of frequent reports from women about problems with a lack of sexual desire. The present study recruited premenopausal women at two s

  1. Modeling Driver Behavior near Intersections in Hidden Markov Model.

    Science.gov (United States)

    Li, Juan; He, Qinglian; Zhou, Hang; Guan, Yunlin; Dai, Wei

    2016-12-21

    Intersections are one of the major locations where safety is a big concern to drivers. Inappropriate driver behaviors in response to frequent changes when approaching intersections often lead to intersection-related crashes or collisions. Thus to better understand driver behaviors at intersections, especially in the dilemma zone, a Hidden Markov Model (HMM) is utilized in this study. With the discrete data processing, the observed dynamic data of vehicles are used for the inference of the Hidden Markov Model. The Baum-Welch (B-W) estimation algorithm is applied to calculate the vehicle state transition probability matrix and the observation probability matrix. When combined with the Forward algorithm, the most likely state of the driver can be obtained. Thus the model can be used to measure the stability and risk of driver behavior. It is found that drivers' behaviors in the dilemma zone are of lower stability and higher risk compared with those in other regions around intersections. In addition to the B-W estimation algorithm, the Viterbi Algorithm is utilized to predict the potential dangers of vehicles. The results can be applied to driving assistance systems to warn drivers to avoid possible accidents.

  2. Desire as response to experience

    DEFF Research Database (Denmark)

    Thøgersen, Ulla

    2009-01-01

    . The first part of the paper presents and critically discusses the answers given by need gratification theory (Maslow, McClelland, McGregor) and by learning theories placed within the field of workplace learning or organizational learning (Senge, Argyris et Schön, Wenger) and it opens up the ambition...... to rethink motivation from the point of view of a phenomenological understanding of desire. The second and third part of the paper follows up this ambition by presenting an understanding of desire based within a phenomenological framework (Merleau-Ponty) and by discussing the implication of a shift in focus...

  3. Behavioral optimization models for multicriteria portfolio selection

    Directory of Open Access Journals (Sweden)

    Mehlawat Mukesh Kumar

    2013-01-01

    Full Text Available In this paper, behavioral construct of suitability is used to develop a multicriteria decision making framework for portfolio selection. To achieve this purpose, we rely on multiple methodologies. Analytical hierarchy process technique is used to model the suitability considerations with a view to obtaining the suitability performance score in respect of each asset. A fuzzy multiple criteria decision making method is used to obtain the financial quality score of each asset based upon investor's rating on the financial criteria. Two optimization models are developed for optimal asset allocation considering simultaneously financial and suitability criteria. An empirical study is conducted on randomly selected assets from National Stock Exchange, Mumbai, India to demonstrate the effectiveness of the proposed methodology.

  4. User behavioral model in hypertext environment

    Science.gov (United States)

    Moskvin, Oleksii M.; Sailarbek, Saltanat; Gromaszek, Konrad

    2015-12-01

    There is an important role of the users that are traversing Internet resources and their activities which, according to the practice, aren't usually considered by the Internet resource owners so to adjust and optimize hypertext structure. Optimal hypertext structure allows users to locate pages of interest, which are the goals of the informational search, in a faster way. Paper presents a model that conducts user auditory behavior analysis in order to figure out their goals in particular hypertext segment and allows finding out optimal routes for reaching those goals in terms of the routes length and informational value. Potential application of the proposed model is mostly the systems that evaluate hypertext networks and optimize their referential structure for faster information retrieval.

  5. Deriving Framework Usages Based on Behavioral Models

    Science.gov (United States)

    Zenmyo, Teruyoshi; Kobayashi, Takashi; Saeki, Motoshi

    One of the critical issue in framework-based software development is a huge introduction cost caused by technical gap between developers and users of frameworks. This paper proposes a technique for deriving framework usages to implement a given requirements specification. By using the derived usages, the users can use the frameworks without understanding the framework in detail. Requirements specifications which describe definite behavioral requirements cannot be related to frameworks in as-is since the frameworks do not have definite control structure so that the users can customize them to suit given requirements specifications. To cope with this issue, a new technique based on satisfiability problems (SAT) is employed to derive the control structures of the framework model. In the proposed technique, requirements specifications and frameworks are modeled based on Labeled Transition Systems (LTSs) with branch conditions represented by predicates. Truth assignments of the branch conditions in the framework models are not given initially for representing the customizable control structure. The derivation of truth assignments of the branch conditions is regarded as the SAT by assuming relations between termination states of the requirements specification model and ones of the framework model. This derivation technique is incorporated into a technique we have proposed previously for relating actions of requirements specifications to ones of frameworks. Furthermore, this paper discuss a case study of typical use cases in e-commerce systems.

  6. Lifelong Learning, Policy and Desire

    Science.gov (United States)

    Lynch, Heather

    2008-01-01

    Recent lifelong learning policies have been criticized for creating an illusion of freedom whilst simultaneously reducing choice. The concept of desire permits engagement with the conscious and unconscious drives that underpin individual decision-making, which direct the life course. Utilizing the ideas of Hume and Spinoza, the present article…

  7. Becoming-Teachers: Desiring Students

    Science.gov (United States)

    Mercieca, Duncan

    2012-01-01

    This article proposes a reading of the lives of teachers through a Deleuzian-Guattarian materialistic approach. By asking the question "what kind of life do teachers live?" this article reminds us that teachers sometimes welcome the imposed policies, procedures and programmes, the consequences of which remove them from students. This desire is…

  8. Paedophilia, Sexual Desire, and Perversity.

    Science.gov (United States)

    Spiecker, Ben; Steutel, Jan

    1997-01-01

    Criticizes justifications given by pedophiles for having sex with children, including an analysis of "sexual desire" and "erotic." Raises the question of whether pedophile activities can ever be morally permissible. Uses principles of mutual consent and non-exploitation to answer negatively. Examines whether pedophile desires…

  9. A Model of Resurgence Based on Behavioral Momentum Theory

    OpenAIRE

    Shahan, Timothy A; Sweeney, Mary M.

    2011-01-01

    Resurgence is the reappearance of an extinguished behavior when an alternative behavior reinforced during extinction is subsequently placed on extinction. Resurgence is of particular interest because it may be a source of relapse to problem behavior following treatments involving alternative reinforcement. In this article we develop a quantitative model of resurgence based on the augmented model of extinction provided by behavioral momentum theory. The model suggests that alternative reinforc...

  10. Streamlined Modeling for Characterizing Spacecraft Anomalous Behavior

    Science.gov (United States)

    Klem, B.; Swann, D.

    2011-09-01

    Anomalous behavior of on-orbit spacecraft can often be detected using passive, remote sensors which measure electro-optical signatures that vary in time and spectral content. Analysts responsible for assessing spacecraft operational status and detecting detrimental anomalies using non-resolved imaging sensors are often presented with various sensing and identification issues. Modeling and measuring spacecraft self emission and reflected radiant intensity when the radiation patterns exhibit a time varying reflective glint superimposed on an underlying diffuse signal contribute to assessment of spacecraft behavior in two ways: (1) providing information on body component orientation and attitude; and, (2) detecting changes in surface material properties due to the space environment. Simple convex and cube-shaped spacecraft, designed to operate without protruding solar panel appendages, may require an enhanced level of preflight characterization to support interpretation of the various physical effects observed during on-orbit monitoring. This paper describes selected portions of the signature database generated using streamlined signature modeling and simulations of basic geometry shapes apparent to non-imaging sensors. With this database, summarization of key observable features for such shapes as spheres, cylinders, flat plates, cones, and cubes in specific spectral bands that include the visible, mid wave, and long wave infrared provide the analyst with input to the decision process algorithms contained in the overall sensing and identification architectures. The models typically utilize baseline materials such as Kapton, paints, aluminum surface end plates, and radiators, along with solar cell representations covering the cylindrical and side portions of the spacecraft. Multiple space and ground-based sensors are assumed to be located at key locations to describe the comprehensive multi-viewing aspect scenarios that can result in significant specular reflection

  11. Verification of extended model of goal directed behavior applied on aggression

    Directory of Open Access Journals (Sweden)

    Katarína Vasková

    2016-01-01

    Full Text Available The study was aimed to verify Model of Goal Directed Behavior (EMGB by Perugini and Bagozzi (2001 applied on aggression by Richetin, Richardson and Boykin (2011. Two different studies were performed. Firstly original form of model was verified. In the second study, modification of EMGB through new conceptualization of scale of perceived behavioral control was executed. The research sample consisted together from 385 students of University of P.J. Šafárik and High school in Košice (182 respondents (78 men, 104 women with average age 20,84 years and standard deviation 1,94, who were involved in first study and 203 students (49 men and 154 women, with average age 19,71 and standard deviation 1,99 participated in second study who were administrated questionnaire by Richetin et al. (2011 and Richardson Conflict Response Questionnaire (Richardson & Green, 2006. Expectancy of comparable relationships between particular factors of EMGB in comparison to its published original version was verified. Data were analyzed by structural equation modeling. In first study was shown insufficient fit of EMGB model. There were hypothesized two main sources of problems. At first, weak relationship between attitudes and behavioral desire was shown. Following statistical procedures confirmed its direct impact on intention, what is in correspondence with another studies (see Leone, Perugini & Ercolani, 2004, Perugini & Bagozzi, 2001, Richetin et al., 2011. Second source of problems was identified in factor named perceived behavioral control. Difficulties from our point of view lied in conceptualization of the term and its subsequent measurement. In the second study was involved new conceptualization of control. It corresponded with Baumeister´s understanding of selfcontrol as asserting control over one´s emotions, thoughts and behavior. After this modification sufficient fit of EMGB was shown. Besides this, factor of self-control was the strongest predictor of

  12. Swarming behavior of simple model squirmers

    Energy Technology Data Exchange (ETDEWEB)

    Thutupalli, Shashi; Seemann, Ralf; Herminghaus, Stephan, E-mail: shashi.thutupalli@ds.mpg.de, E-mail: stephan.herminghaus@ds.mpg.de [Max Planck Institute for Dynamics and Self-Organization, Bunsenstrasse 10, 37073 Goettingen (Germany)

    2011-07-15

    We have studied experimentally the collective behavior of self-propelling liquid droplets, which closely mimic the locomotion of some protozoal organisms, the so-called squirmers. For the sake of simplicity, we concentrate on quasi-two-dimensional (2D) settings, although our swimmers provide a fully 3D propulsion scheme. At an areal density of 0.46, we find strong polar correlation of the locomotion velocities of neighboring droplets, which decays over less than one droplet diameter. When the areal density is increased to 0.78, distinct peaks show up in the angular correlation function, which point to the formation of ordered rafts. This shows that pronounced textures, beyond what has been seen in simulations so far, may show up in crowds of simple model squirmers, despite the simplicity of their (purely physical) mutual interaction.

  13. Modeling Human Behavior to Anticipate Insider Attacks

    Energy Technology Data Exchange (ETDEWEB)

    Greitzer, Frank L.; Hohimer, Ryan E.

    2011-06-09

    The insider threat ranks among the most pressing cybersecurity challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral “triggers” to help focus the analyst’s attention and inform the analysis. Designed to be domain independent, the system may be applied to many different threat and warning analysis/sensemaking problems.

  14. Modeling Human Behavior to Anticipate Insider Attacks

    Directory of Open Access Journals (Sweden)

    Ryan E Hohimer

    2011-01-01

    Full Text Available The insider threat ranks among the most pressing cyber-security challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage, and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain, as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral "triggers" to help focus the analyst's attention and inform the analysis. Designed to be domain-independent, the system may be applied to many different threat and warning analysis/sense-making problems.

  15. Behaviorally Modeling Games of Strategy Using Descriptive Q-learning

    Science.gov (United States)

    2013-01-01

    REPORT Behaviorally Modeling Games of Strategy Using Descriptive Q-learning 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: Modeling human decision making... Games of Strategy Using Descriptive Q-learning Report Title ABSTRACT Modeling human decision making in strategic problem domains is challenging with...an unknown automated opponent. Behaviorally Modeling Games of Strategy Using Descriptive Q-learning Roi Ceren Department of Computer Science

  16. Desirable difficulties in vocabulary learning

    OpenAIRE

    Bjork, RA; Kroll, JF

    2015-01-01

    © 2015 by the Board of Trustees of the University of Illinois. In this article we discuss the role of desirable difficulties in vocabulary learning from two perspectives, one having to do with identifying conditions of learning that impose initial challenges to the learner but then benefit later retention and transfer, and the other having to do with the role of certain difficulties that are intrinsic to language processes, are engaged during word learning, and reflect how language is underst...

  17. Desirable Difficulties in Vocabulary Learning.

    Science.gov (United States)

    Bjork, Robert A; Kroll, Judith F

    2015-01-01

    In this article we discuss the role of desirable difficulties in vocabulary learning from two perspectives, one having to do with identifying conditions of learning that impose initial challenges to the learner but then benefit later retention and transfer, and the other having to do with the role of certain difficulties that are intrinsic to language processes, are engaged during word learning, and reflect how language is understood and produced. From each perspective we discuss evidence that supports the notion that difficulties in learning and imposed costs to language processing may produce benefits because they are likely to increase conceptual understanding. We then consider the consequences of these processes for actual second-language learning and suggest that some of the domain-general cognitive advantages that have been reported for proficient bilinguals may reflect difficulties imposed by the learning process, and by the requirement to negotiate cross-language competition, that are broadly desirable. As Alice Healy and her collaborators were perhaps the first to demonstrate, research on desirable difficulties in vocabulary and language learning holds the promise of bringing together research traditions on memory and language that have much to offer each other.

  18. Transtheoretical Model of Health Behavior Change Applied to Voice Therapy

    OpenAIRE

    2007-01-01

    Studies of patient adherence to health behavior programs, such as physical exercise, smoking cessation, and diet, have resulted in the formulation and validation of the Transtheoretical Model (TTM) of behavior change. Although widely accepted as a guide for the development of health behavior interventions, this model has not been applied to vocal rehabilitation. Because resolution of vocal difficulties frequently depends on a patient’s ability to make changes in vocal and health behaviors, th...

  19. Exchangeability and sets of desirable gambles

    CERN Document Server

    de Cooman, Gert

    2009-01-01

    Sets of desirable gambles constitute a quite general type of uncertainty model with an interesting geometrical interpretation. We give a general discussion of such models and their rationality criteria. We study exchangeability assessments for them, and prove counterparts of de Finetti's finite and infinite representation theorems. We show that the finite representation in terms of count vectors has a very nice geometrical interpretation, and that the representation in terms of frequency vectors is tied up with multivariate Bernstein (basis) polynomials. We also lay bare the relationships between the representations of updated exchangeable models, and discuss conservative inference (natural extension) under exchangeability and the extension of exchangeable sequences.

  20. Computer simulation modeling of abnormal behavior: a program approach.

    Science.gov (United States)

    Reilly, K D; Freese, M R; Rowe, P B

    1984-07-01

    A need for modeling abnormal behavior on a comprehensive, systematic basis exists. Computer modeling and simulation tools offer especially good opportunities to establish such a program of studies. Issues concern deciding which modeling tools to use, how to relate models to behavioral data, what level of modeling to employ, and how to articulate theory to facilitate such modeling. Four levels or types of modeling, two qualitative and two quantitative, are identified. Their properties are examined and interrelated to include illustrative applications to the study of abnormal behavior, with an emphasis on schizophrenia.

  1. Cognitive-Operative Model of Intelligent Learning Systems Behavior

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael

    2010-01-01

    In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…

  2. Scanpath Based N-Gram Models for Predicting Reading Behavior

    DEFF Research Database (Denmark)

    Mishra, Abhijit; Bhattacharyya, Pushpak; Carl, Michael

    2013-01-01

    Predicting reading behavior is a difficult task. Reading behavior depends on various linguistic factors (e.g. sentence length, structural complexity etc.) and other factors (e.g individual's reading style, age etc.). Ideally, a reading model should be similar to a language model where the model i...

  3. Cognitive-Operative Model of Intelligent Learning Systems Behavior

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael

    2010-01-01

    In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…

  4. International Politics: A Desirable Paradigm

    Institute of Scientific and Technical Information of China (English)

    Xia Aiding; Feng Shuai

    2007-01-01

    This article first traces the origin of four concepts: International Politics (IP), International Relations (IR), World Politics (WP) and Global Politics (GP) and discusses the similarities among these four paradigms. It then analyses their application both at home and abroad. Finally, it argues for the desirability of selecting the concept of IP in academic training, thus facilitating practical application of concepts. It asserts that this will not only enhance academic discussion about IP among different Chinese schools of thought, but also help blazing new ideas.

  5. Sexual desire, not hypersexuality, is related to neurophysiological responses elicited by sexual images

    OpenAIRE

    Steele, Vaughn R.; Staley, Cameron; Fong, Timothy; Prause, Nicole

    2013-01-01

    Background: Modulation of sexual desires is, in some cases, necessary to avoid inappropriate or illegal sexual behavior (downregulation of sexual desire) or to engage with a romantic partner (upregulation of sexual desire). Some have suggested that those who have difficulty downregulating their sexual desires be diagnosed as having a sexual “addiction”. This diagnosis is thought to be associated with sexual urges that feel out of control, high-frequency sexual behavior, consequences due to th...

  6. Borders, boundaries and desirable wishes

    Directory of Open Access Journals (Sweden)

    Luca Pinciaroli

    2015-05-01

    Full Text Available “Borders, boundaries and desirable wishes” is the title of the residential workshop offered to a group of young adults (aged 18-25 of the Centro di Salute Mentale (Mental Health Center of the DSM Basaglia of ASL TO2 in Turin. The idea of the workshop, the definition of the objectives and the topics, which are clearly expressed in the title, come from the work of the team dedicated to group psychotherapies, which has been offering group psychodrama sessions to young adults of this age since 2008. In the delicate move to the adult age, these young adults are lost and stuck in static realities where it is not possible to open up to the dimension of desire nor to the transforming encounter with the Other, since they didn’t have the experience of boundaries and lack. These two elements are necessary to acquire the ability to make projects for oneself. During the workshop the following instruments were used: group, psychodrama and art therapy. The group, as a paternal function, ensured the presence of safe boundaries enabling individuals to experiment; psychodrama and art therapy enabled the bodies to experience encounters and transformations, using doing as a metaphor for the movement against the inhibition of doing and as a way to show oneself to the Other and be able to see the Other. 

  7. Visualizing desirable patient healthcare experiences.

    Science.gov (United States)

    Liu, Sandra S; Kim, Hyung T; Chen, Jie; An, Lingling

    2010-01-01

    High healthcare cost has drawn much attention and healthcare service providers (HSPs) are expected to deliver high-quality and consistent care. Therefore, an intimate understanding of the most desirable experience from a patient's and/or family's perspective as well as effective mapping and communication of such findings should facilitate HSPs' efforts in attaining sustainable competitive advantage in an increasingly discerning environment. This study describes (a) the critical quality attributes (CQAs) of the experience desired by patients and (b) the application of two visualization tools that are relatively new to the healthcare sector, namely the "spider-web diagram" and "promotion and detraction matrix." The visualization tools are tested with primary data collected from telephone surveys of 1,800 patients who had received care during calendar year 2005 at 6 of 61 hospitals within St. Louis, Missouri-based, Ascension Health. Five CQAs were found by factor analysis. The spider-web diagram illustrates that communication and empowerment and compassionate and respectful care are the most important CQAs, and accordingly, the promotion and detraction matrix shows those attributes that have the greatest effect for creating promoters, preventing detractors, and improving consumer's likelihood to recommend the healthcare provider.

  8. Behavior modeling through CHAOS for simulation of dismounted soldier operations

    NARCIS (Netherlands)

    Ubink, E.; Aldershoff, F.; Lotens, W.A.; Woering, A.

    2003-01-01

    One of the major challenges in human behavior modeling for military applications is dealing with all factors that can influence behavior and performance. In a military context, behavior and performance are influenced by the task at hand, the internal (cognitive and physiological) and external

  9. Decision making in the transtheoretical model of behavior change.

    Science.gov (United States)

    Prochaska, James O

    2008-01-01

    Decision making is an integral part of the transtheoretical model of behavior change. Stage of change represents a temporal dimension for behavior change and has been the key dimension for integrating principles and processes of change from across leading theories of psychotherapy and behavior change. The decision-making variables representing the pros and cons of changing have been found to have systematic relationships across the stages of change for 50 health-related behaviors. Implications of these patterns of relationships are discussed in the context of helping patients make more effective decisions to decrease health risk behaviors and increase health-enhancing behaviors.

  10. Absence of social desirability bias in the evaluation of chronic disease self-management interventions.

    Science.gov (United States)

    Nolte, Sandra; Elsworth, Gerald R; Osborne, Richard H

    2013-07-08

    Bias due to social desirability has long been of concern to evaluators relying on self-report data. It is conceivable that health program evaluation is particularly susceptible to social desirability bias as individuals may be inclined to present themselves or certain health behaviors in a more positive light and/or appease the course leader. Thus, the influence of social desirability bias on self-report outcomes was explored in the present study. Data were collected from 331 participants of group-based chronic disease self-management interventions using the highly robust eight-scale Health Education Impact Questionnaire (heiQ) and the 13-item short form Marlowe-Crowne Social Desirability Scale (MC-C). The majority of self-management courses were run by community-based organizations across Australia between February 2005 and December 2006 where 6 to 12 individuals have the opportunity to develop considerable rapport with course leaders and each other over about six weeks. Pre-test data were collected on the first day of courses, while post-test and social desirability scores were assessed at the end of courses. A model of partial mediation within the framework of structural equation modeling was developed with social desirability as the mediating variable between pre-test and post-test. The 'Defensiveness' factor of the MC-C showed clear association with heiQ pre-test data, a prerequisite for investigating mediation; however, when investigating the eight full pre-test/post-test models 'Defensiveness' was only associated with one heiQ scale. This effect was small, explaining 8% of the variance in the model. No other meditational effects through social desirability were observed. The overall lack of association of social desirability with heiQ outcomes was surprising as it had been expected that it would explain at least some of the variance observed between pre-test and post-test. With the assumption that the MC-C captures the propensity for an individual to provide

  11. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model

    Science.gov (United States)

    Joe H. Scott; Robert E. Burgan

    2005-01-01

    This report describes a new set of standard fire behavior fuel models for use with Rothermel's surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.

  12. Analogue Behavioral Modeling of Switched-Current Building Block Circuits

    Institute of Scientific and Technical Information of China (English)

    ZENG Xuan; WANG Wei; SHI Jianlei; TANG Pushan; D.ZHOU

    2001-01-01

    This paper proposes a behavioral modeling technique for the second-generation switched-current building block circuits. The proposed models are capable of capturing the non-ideal behavior of switched-current circuits, which includes the charge injection effects and device mismatch effects. As a result, system performance degradations due to the building block imperfections can be detected at the early design stage by fast behavioral simulations. To evaluate the accuracy of the proposed models, we developed a time-domain behavioral simulator. Experimental results have shown that compared with SPICE, the behavioral modeling error is less than 2.15%, while behavioral simulation speed up is 4 orders in time-domain.

  13. Modeling shape-memory behavior of dielectric elastomers

    Science.gov (United States)

    Xiao, Rui

    2016-04-01

    In this study, we present a constitutive model to couple the shape memory and dielectric behaviors of polymers. The model adopted multiple relaxation processes and temperature-dependent relaxation time to describe the glass transition behaviors. The model was applied to simulate the thermal-mechanical-electrical behaviors of the dielectric elastomer VHB 4905. We investigated the influence of deformation temperature, voltage rate, relaxation time on the electromechanical and shape-memory behavior of dielectric elastomers. This work provides a method for combining the shape-memory properties and electroactive polymers, which can expand the applications of these soft active materials.

  14. Modeling the Coupled Chemo-Thermo-Mechanical Behavior of Amorphous Polymer Networks.

    Energy Technology Data Exchange (ETDEWEB)

    Zimmerman, Jonathan A. [Sandia National Lab. (SNL-CA), Livermore, CA (United States); Nguyen, Thao D. [Sandia National Lab. (SNL-CA), Livermore, CA (United States); Xiao, Rui [Sandia National Lab. (SNL-CA), Livermore, CA (United States)

    2015-02-01

    Amorphous polymers exhibit a rich landscape of time-dependent behavior including viscoelasticity, structural relaxation, and viscoplasticity. These time-dependent mechanisms can be exploited to achieve shape-memory behavior, which allows the material to store a programmed deformed shape indefinitely and to recover entirely the undeformed shape in response to specific environmental stimulus. The shape-memory performance of amorphous polymers depends on the coordination of multiple physical mechanisms, and considerable opportunities exist to tailor the polymer structure and shape-memory programming procedure to achieve the desired performance. The goal of this project was to use a combination of theoretical, numerical and experimental methods to investigate the effect of shape memory programming, thermo-mechanical properties, and physical and environmental aging on the shape memory performance. Physical and environmental aging occurs during storage and through exposure to solvents, such as water, and can significantly alter the viscoelastic behavior and shape memory behavior of amorphous polymers. This project – executed primarily by Professor Thao Nguyen and Graduate Student Rui Xiao at Johns Hopkins University in support of a DOE/NNSA Presidential Early Career Award in Science and Engineering (PECASE) – developed a theoretical framework for chemothermo- mechanical behavior of amorphous polymers to model the effects of physical aging and solvent-induced environmental factors on their thermoviscoelastic behavior.

  15. Behavioral modelling and predistortion of wideband wireless transmitters

    CERN Document Server

    Ghannouchi, Fadhel M; Helaoui, Mohamed

    2015-01-01

    Covers theoretical and practical aspects related to the behavioral modelling and predistortion of wireless transmitters and power amplifiers. It includes simulation software that enables the users to apply the theory presented in the book. In the first section, the reader is given the general background of nonlinear dynamic systems along with their behavioral modelling from all its aspects. In the second part, a comprehensive compilation of behavioral models formulations and structures is provided including memory polynomial based models, box oriented models such as Hammerstein-based and Wiene

  16. Performance Analysis of Selection Combining Over Correlated Nakagami-m Fading Channels with Constant Correlation Model for Desired Signal and Cochannel Interference

    Directory of Open Access Journals (Sweden)

    C. Stefanovic

    2013-12-01

    Full Text Available A very efficient technique that reduces fading and channel interference influence is selection diversity based on the signal to interference ratio (SIR. In this pa¬per, system performances of selection combiner (SC over correlated Nakagami-m channels with constant correlation model are analyzed. Closed-form expressions are obtained for the output SIR probability density function (PDF and cumulative distribution function (CDF which is main contribution of this paper. Outage probability and the average error probability for coherent, noncoherent modulation are derived. Numerical results presented in this paper point out the effects of fading severity and cor¬relation on the system performances. The main contribu¬tion of this analysis for multibranch signal combiner is that it has been done for general case of correlated co-channel interference (CCI.

  17. Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size.

    Science.gov (United States)

    Perry, Brea; Ciciurkaite, Gabriele; Brady, Christy Freadreacea; Garcia, Justin

    2016-01-01

    Previous research has documented social contagion in obesity and related health behaviors, but less is known about the social processes underlying these patterns. Focusing on married or cohabitating couples, we simultaneously explore three potential social mechanisms influencing obesity: normative body size, social control, and behavior modeling. We analyze the association between partner characteristics and the obesity-related health behaviors of focal respondents, comparing the effects of partners' body type, partners' attempts to manage respondents' eating behaviors, and partners' own health behaviors on respondents' health behaviors (physical activity, fruit and vegetable consumption, and fast food consumption). Data on 215 partners are extracted from a larger study of social mechanisms of obesity in family and community contexts conducted in 2011 in the United States. Negative binomial regression models indicate that partner behavior is significantly related to respondent behavior (p behavior modeling mechanism in obesity-related patterns of consumption and physical activity. In contrast, we find little support for the influence of normative body size or partner social control in this sample, though generalizations about the relevance of these processes may be inappropriate. These results underscore the importance of policies and interventions that target dyads and social groups, suggesting that adoption of exercise or diet modifications in one individual is likely to spread to others, creating a social environment characterized by mutual reinforcement of healthy behavior.

  18. Testing the Validity of a Cognitive Behavioral Model for Gambling Behavior.

    Science.gov (United States)

    Raylu, Namrata; Oei, Tian Po S; Loo, Jasmine M Y; Tsai, Jung-Shun

    2016-06-01

    Currently, cognitive behavioral therapies appear to be one of the most studied treatments for gambling problems and studies show it is effective in treating gambling problems. However, cognitive behavior models have not been widely tested using statistical means. Thus, the aim of this study was to test the validity of the pathways postulated in the cognitive behavioral theory of gambling behavior using structural equation modeling (AMOS 20). Several questionnaires assessing a range of gambling specific variables (e.g., gambling urges, cognitions and behaviors) and gambling correlates (e.g., psychological states, and coping styles) were distributed to 969 participants from the community. Results showed that negative psychological states (i.e., depression, anxiety and stress) only directly predicted gambling behavior, whereas gambling urges predicted gambling behavior directly as well as indirectly via gambling cognitions. Avoidance coping predicted gambling behavior only indirectly via gambling cognitions. Negative psychological states were significantly related to gambling cognitions as well as avoidance coping. In addition, significant gender differences were also found. The results provided confirmation for the validity of the pathways postulated in the cognitive behavioral theory of gambling behavior. It also highlighted the importance of gender differences in conceptualizing gambling behavior.

  19. Modeling and Analyzing Academic Researcher Behavior

    Directory of Open Access Journals (Sweden)

    Phuc Huu Nguyen

    2016-12-01

    Full Text Available Abstract. This paper suggests a theoretical framework for analyzing the mechanism of the behavior of academic researchers whose interests are tangled and vary widely in academic factors (the intrinsic satisfaction in conducting research, the improvement in individual research ability, etc. or non-academic factors (career rewards, financial rewards, etc.. Furthermore, each researcher also has his/her different academic stances in their preferences about academic freedom and academic entrepreneurship. Understanding the behavior of academic researchers will contribute to nurture young researchers, to improve the standard of research and education as well as to boost collaboration in academia-industry. In particular, as open innovation is increasingly in need of the involvement of university researchers, to establish a successful approach to entice researchers into enterprises’ research, companies must comprehend the behavior of university researchers who have multiple complex motivations. The paper explores academic researchers' behaviors through optimizing their utility functions, i.e. the satisfaction obtained by their research outputs. This paper characterizes these outputs as the results of researchers' 3C: Competence (the ability to implement the research, Commitment (the effort to do the research, and Contribution (finding meaning in the research. Most of the previous research utilized the empirical methods to study researcher's motivation. Without adopting economic theory into the analysis, the past literature could not offer a deeper understanding of researcher's behavior. Our contribution is important both conceptually and practically because it provides the first theoretical framework to study the mechanism of researcher's behavior. Keywords: Academia-Industry, researcher behavior, ulrich model’s 3C.

  20. Factors influencing voluntary premarital medical examination in Zhejiang province, China: a culturally-tailored health behavioral model analysis

    Science.gov (United States)

    2014-01-01

    Background Premarital medical examination (PME) compliance rate has dropped drastically since it became voluntary in China in 2003. This study aimed to establish a prediction model to be a theoretic framework for analyzing factors affecting PME compliance in Zhejiang province, China. Methods A culturally-tailored health behavioral model combining the Health Behavioral Model (HBM) and the Theory of Reasoned Action (TRA) was established to analyze the data from a cross-sectional questionnaire survey (n = 2,572) using the intercept method at the county marriage registration office in 12 counties from Zhejiang in 2010. Participants were grouped by high (n = 1,795) and low (n = 777) social desirability responding tendency (SDRT) by Marlowe-Crowne Social Desirability Scale (MCSDS). A structural equation modeling (SEM) was conducted to evaluate behavioral determinants for their influences on PME compliance in both high and low SDRT groups. Results 69.8% of the participants had high SDRT and tended to overly report benefits and underreport barriers, which may affect prediction accuracy on PME participation. In the low SDRT group, the prediction model showed the most influencing factor on PME compliance was behavioral intention, with standardized structural coefficients (SSCs) being 0.75 (P social environmental factors. The verified prediction model was tested to be an effective theoretic framework for the prediction of factors affecting voluntary PME compliance. It also should be noted that internationally available behavioral theories and models need to be culturally tailored to adapt to particular populations. This study has provided new insights for establishing a theoretical model to understand health behaviors in China. PMID:24972866

  1. The Stability of Social Desirability: A Latent Change Analysis.

    Science.gov (United States)

    Haberecht, Katja; Schnuerer, Inga; Gaertner, Beate; John, Ulrich; Freyer-Adam, Jennis

    2015-08-01

    Social desirability has been shown to be stable in samples with higher school education. However, little is known about the stability of social desirability in more heterogeneous samples differing in school education. This study aimed to investigate the stability of social desirability and which factors predict interindividual differences in intraindividual change. As part of a randomized controlled trial, 1,243 job seekers with unhealthy alcohol use were systematically recruited at three job agencies. A total of 1,094 individuals (87.8%) participated in at least one of two follow-ups (6 and 15 months after baseline) and constitute this study's sample. The Social Desirability Scale-17 was applied. Two latent change models were conducted: Model 1 tested for interindividual differences in intraindividual change of social desirability between both follow-ups; Model 2 included possible predictors (age, sex, education, current employment status) of interindividual differences in intraindividual change. Model 1 revealed a significant decrease of social desirability over time. Model 2 revealed school education to be the only significant predictor of change. These findings indicate that stability of social desirability may depend on school education. It may not be as stable in individuals with higher school education as in individuals with lower education. © 2014 Wiley Periodicals, Inc.

  2. Desirable Skills in New Pharmacists.

    Science.gov (United States)

    O'Brien, Catherine E; Flowers, Schwanda K; Stowe, Cindy D

    2017-02-01

    To compare survey responses between licensed pharmacists who work with or employ new graduates and graduating senior pharmacy students at a college of pharmacy. This was a retrospective analysis of surveys given to 2 groups of pharmacists and students. Responses to items regarding importance of desirable qualities in new pharmacists and level of preparation of new graduates were analyzed. Qualities included drug information, pharmacology, therapeutics, communication with patients/customers or health care professionals, professionalism, ethics, management, and conflict resolution. There was consensus between pharmacists and students regarding the importance of all items ( P > .05 for all comparisons). However, the percentage of pharmacists versus students who agreed that new graduates communicate effectively differed (86.7% vs 100%, respectively, P communication as the 1 skill that would distinguish an applicant, and retail and hospital pharmacists displayed a statistically significant ( P skills essential for pharmacy practice but disagree on the level of preparation for effective communication. These results support ongoing efforts to improve the development of communication skills in the professional pharmacy curriculum.

  3. Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games

    Science.gov (United States)

    Lee, Ritchie; Wolpert, David H.; Backhaus, Scott; Bent, Russell; Bono, James; Tracey, Brendan

    2011-01-01

    This paper introduces a novel framework for modeling interacting humans in a multi-stage game environment by combining concepts from game theory and reinforcement learning. The proposed model has the following desirable characteristics: (1) Bounded rational players, (2) strategic (i.e., players account for one anothers reward functions), and (3) is computationally feasible even on moderately large real-world systems. To do this we extend level-K reasoning to policy space to, for the first time, be able to handle multiple time steps. This allows us to decompose the problem into a series of smaller ones where we can apply standard reinforcement learning algorithms. We investigate these ideas in a cyber-battle scenario over a smart power grid and discuss the relationship between the behavior predicted by our model and what one might expect of real human defenders and attackers.

  4. Graph model of behavior simulator. [Interactive simulator developed as part of UCLA SARA system

    Energy Technology Data Exchange (ETDEWEB)

    Razouk, R.R.; Estrin, G.

    1966-01-01

    An interactive simulator developed at UCLA as part of the SARA system is described. This simulator, in conjunction with other design tools of the SARA system, allows the user to model the behavior of the system being designed at various levels of detail. The models which drive the simulator are control graphs and associated data graphs. The simulator uses the control graph to express synchronization of sequences of events. Initiation of any control node triggers the simulator to call on the data graph model to provide interpretation of a process at a desired level of abstraction. The simulator gives the user the capability to examine, or modify, the state of the control and data graphs during a simulation. 8 figures.

  5. Fusing Visual and Behavioral Cues for Modeling User Experience in Games

    DEFF Research Database (Denmark)

    Shaker, Noor; Asteriadis, Stylianos; Yannakakis, Georgios N.

    2013-01-01

    different game sessions. Using neuroevolutionary preference learning and automatic feature selection, highly accurate models of reported engagement, frus- tration, and challenge are constructed (model accuracies reach 91%, 92% and 88% for engagement, frustration and challenge, respectively). As a step...... further, the derived player experience models can be used to personalize the game level to desired levels of engagement, frustration and challenge, as game content is mapped to player experience through the behavioral and expressivity patterns of each player.......Estimating affective and cognitive states in condi- tions of rich human-computer interaction, such as in games, is a field of growing academic and commercial interest. Entertain- ment and serious games can benefit from recent advances in the field as, having access to predictors of the current...

  6. A social learning model of adolescent contraceptive behavior.

    Science.gov (United States)

    Balassone, M L

    1991-12-01

    Decision making and socialization models have advanced our knowledge of adolescent contraceptive behavior. They also show the vital role values, attitudes, and beliefs play in contraceptive use. A social work professor builds on these models and adds values, attitudes, and beliefs to a new social learning model of contraceptive behavior to improve on the weaknesses of those models. This new model considers contraceptive behavior an active response instead of a passive response. It uses 3 major components to explain how adolescents learn and preserve contraceptive behaviors. They include environmental context, cognitive influences, and behavior executive constraints. Accurate sexuality information, available contraceptive services, and availability of role models constitute the environmental context. These environmental factors either support or limit contraceptive use. Perception of need and consequences is a cognitive influence and embraces judgment of immediate and delayed consequences and probability and susceptibility to pregnancy and sexually transmitted diseases (STDs); perception of pregnancy/STD seriousness; and expectation regarding personal mastery. The other cognitive influence is decision making processed which involved generating, evaluating, and selecting alternatives. Advantages of this model are its flexibility to apply it to different groups of adolescents and its emphasis on reducing the risk of acquiring an STD as well as pregnancy prevention. Researchers of contraceptive behavior among adolescents should consider all 3 model components when designing research that aims to predict birth control behavior.

  7. An Ontology-Based Framework for Modeling User Behavior

    DEFF Research Database (Denmark)

    Razmerita, Liana

    2011-01-01

    This paper focuses on the role of user modeling and semantically enhanced representations for personalization. This paper presents a generic Ontology-based User Modeling framework (OntobUMf), its components, and its associated user modeling processes. This framework models the behavior of the users....... The results of this research may contribute to the development of other frameworks for modeling user behavior, other semantically enhanced user modeling frameworks, or other semantically enhanced information systems....... and classifies its users according to their behavior. The user ontology is the backbone of OntobUMf and has been designed according to the Information Management System Learning Information Package (IMS LIP). The user ontology includes a Behavior concept that extends IMS LIP specification and defines...

  8. Integration of Theory of Planned Behavior and Norm Activation Model on Student Behavior Model Using Cars for Traveling to Campus

    Directory of Open Access Journals (Sweden)

    Setiawan, R.

    2014-01-01

    Full Text Available Although there are clear environmental, economic, and social drawbacks in using private vehicles, students still choose cars to get to campus. This study reports an investigation of psychological factors influencing this behavior from the perspective of the Theory of Planned Behavior and Norm Activation Model. Students from three different university campuses in Surabaya, Indonesia, (n = 312 completed a survey on their car commuting behavior. Results indicated that perceived behavioral control and personal norm were the strongest factors that influence behavioral intention. Attitude, subjective norm, perceived behavioral control, and personal norm explain 62.7% variance of the behavioral intention. In turn, behavioral intention explains 42.5% of the variance of the actual car use. Implications of these findings are that in order to alter the use of car, university should implement both structural and psychological interventions. Effective interventions should be designed to raise the awareness of negative aspects of car use.

  9. Social desirability, social intelligence and self-rated oral health status and behaviours.

    Science.gov (United States)

    Dumitrescu, Alexandrina L; Kawamura, M; Toma, Carmen; Lascu, Viorica

    2007-01-01

    Our aim was to examine the impact of social intelligence and social desirability on students' self-rated oral health and oral health-related behaviors. The present study sample consisted of 217 first year dental students. The questionnaire included information about socio-demographic factors, behavioral factors, self-reported oral health status, social intelligence (Tromsø Social Intelligence Scale-TSIS) and social desirability (Marlowe-Crowne Social Desirability Scale short form C). Social desirability was correlated with age, perceived dental health, current nontreated caries, toothache last time, self-reported gum bleeding and reason for the dental visit. Other measures were not influenced by social desirability: current extracted teeth, satisfaction with appearance of own teeth, self-reported gingival condition, daily toothbrushing, flossing, mouthrinse and dental visit frequency. It was revealed that participants with stronger social intelligence tended to evaluate as excellent their self rated oral health status, to be less dissatisfied by the appearance of their teeth, not to have untreated dental decays, extracted teeth (others than third molars) or gingival bleeding, to brush their teeth more than twice a day, to use everyday dental floss and to visit their dentist mainly for check-up or for tooth cleaning and scaling. Multiple regression analyses models demonstrated significant contributions of social awareness, social skills and social information processing were observed to oral health behaviours: toothbrushing, flossing and dental visit frequency. The results support the view that social desirability should be considered as a factor which may impact measurements and decisions, while social intelligence has a significant association with oral health behaviours.

  10. Modeling Chaotic Behavior of Chittagong Stock Indices

    Directory of Open Access Journals (Sweden)

    Shipra Banik

    2012-01-01

    Full Text Available Stock market prediction is an important area of financial forecasting, which attracts great interest to stock buyers and sellers, stock investors, policy makers, applied researchers, and many others who are involved in the capital market. In this paper, a comparative study has been conducted to predict stock index values using soft computing models and time series model. Paying attention to the applied econometric noises because our considered series are time series, we predict Chittagong stock indices for the period from January 1, 2005 to May 5, 2011. We have used well-known models such as, the genetic algorithm (GA model and the adaptive network fuzzy integrated system (ANFIS model as soft computing forecasting models. Very widely used forecasting models in applied time series econometrics, namely, the generalized autoregressive conditional heteroscedastic (GARCH model is considered as time series model. Our findings have revealed that the use of soft computing models is more successful than the considered time series model.

  11. Behavioural model in social psychology: Model development and model studies on the behavioral intentions of individuals and groups in energy policy problems

    Energy Technology Data Exchange (ETDEWEB)

    Bergius, R.; Engemann, A.; Guenther, R.; Kimmelmann, G.; Radtke, M.; Sachs, S.; Schmidt, F.

    1982-10-01

    We describe a model which allows to simulate inference and evaluation processes and also the resulting behavioral intentions. The model is the base of the program REASON. The program needs as input knowledge about the part of the world which is to be evaluated and values and criteria which are used to judge the conclusions of the inference process. The program provides as output the scores of the various criteria and accumulated evaluations of the options. Also if desired a protocol of the inference process is available. The program is demonstrated by examples showing support in generating concepts. A detailed concept was developed for the installation of the heating system in a new home. REASON is applied together with this concept to simulate the behavioral intentions of the home owners towards the installation of the various heating systems.

  12. Cellular Potts modeling of complex multicellular behaviors in tissue morphogenesis

    NARCIS (Netherlands)

    T. Hirashima (Tsuyoshi); E.G. Rens (Lisanne); R.M.H. Merks (Roeland)

    2017-01-01

    textabstractMathematical modeling is an essential approach for the understanding of complex multicellular behaviors in tissue morphogenesis. Here, we review the cellular Potts model (CPM; also known as the Glazier-Graner-Hogeweg model), an effective computational modeling framework. We discuss its

  13. Is social desirability associated with self-reported physical activity?

    Science.gov (United States)

    Motl, Robert W; McAuley, Edward; DiStefano, Christine

    2005-06-01

    Physical activity has been considered to be a socially desirable behavior that might be overreported because of a social desirability bias. This study involved an examination of the possible influence of social desirability on self-report measures of physical activity. Participants were male and female college students (N = 782) who completed the Lie scale of the Eysenck Personality Questionnaire (L-scale), Marlowe-Crowne Social Desirability Scale (SDS), Godin Leisure-Time Exercise Questionnaire (GLTEQ), and Stanford Usual Activity Questionnaire. Scores from the Lie scale were not significantly correlated with scores from either the Godin Leisure-Time Exercise Questionnaire or the Stanford Usual Activity Questionnaire. With the Social Desirability Scale, there were statistically significant, but weak correlations with scores from the Godin Leisure-Time Exercise Questionnaire and the Stanford Usual Activity Questionnaire. There was no influence of the Lie scale and Social Desirability Scale on the magnitude of the correlations between scores from the two measures of physical activity. This study provides minimal evidence of an influence of social desirability on scores from two self-report instruments for measuring physical activity in young adults.

  14. A Simplified Model of Choice Behavior under Uncertainty

    OpenAIRE

    Lin, Ching-Hung; Lin, Yu-Kai; Song, Tzu-Jiun; Huang, Jong-Tsun; Chiu, Yao-Chu

    2016-01-01

    The Iowa Gambling Task (IGT) has been standardized as a clinical assessment tool (Bechara, 2007). Nonetheless, numerous research groups have attempted to modify IGT models to optimize parameters for predicting the choice behavior of normal controls and patients. A decade ago, most researchers considered the expected utility (EU) model (Busemeyer and Stout, 2002) to be the optimal model for predicting choice behavior under uncertainty. However, in recent years, studies have demonstrated that m...

  15. A simplified model of choice behavior under uncertainty

    OpenAIRE

    Ching-Hung Lin; Yu-Kai Lin; Tzu-Jiun Song; Jong-Tsun Huang; Yao-Chu Chiu

    2016-01-01

    The Iowa Gambling Task (IGT) has been standardized as a clinical assessment tool (Bechara, 2007). Nonetheless, numerous research groups have attempted to modify IGT models to optimize parameters for predicting the choice behavior of normal controls and patients. A decade ago, most researchers considered the expected utility (EU) model (Busemeyer and Stout, 2002) to be the optimal model for predicting choice behavior under uncertainty. However, in recent years, studies have demonstrated the pr...

  16. Modeling cultural behavior for military virtual training

    NARCIS (Netherlands)

    Kerbusch, P.; Schram, J.; Bosch, K. van den

    2011-01-01

    Soldiers on mission in areas with unfamiliar cultures must be able to take into account the norms of the local culture when assessing a situation, and must be able to adapt their behavior accordingly. Innovative technologies provide opportunity to train the required skills in an interactive and real

  17. Modeling Cultural Behavior for Military Virtual Training

    NARCIS (Netherlands)

    Bosch, K. van den; Kerbusch, P.J.M.; Schram, J.

    2012-01-01

    Soldiers on mission in areas with unfamiliar cultures must be able to take into account the norms of the local culture when assessing a situation, and must be able to adapt their behavior accordingly. Innovative technologies provide opportunity to train the required skills in an interactive and real

  18. Modeling User Behavior and Attention in Search

    Science.gov (United States)

    Huang, Jeff

    2013-01-01

    In Web search, query and click log data are easy to collect but they fail to capture user behaviors that do not lead to clicks. As search engines reach the limits inherent in click data and are hungry for more data in a competitive environment, mining cursor movements, hovering, and scrolling becomes important. This dissertation investigates how…

  19. Modeling User Behavior and Attention in Search

    Science.gov (United States)

    Huang, Jeff

    2013-01-01

    In Web search, query and click log data are easy to collect but they fail to capture user behaviors that do not lead to clicks. As search engines reach the limits inherent in click data and are hungry for more data in a competitive environment, mining cursor movements, hovering, and scrolling becomes important. This dissertation investigates how…

  20. Sexual Desire and Hormonal Contraception

    Science.gov (United States)

    Boozalis, Amanda; Tutlam, Nhial T.; Robbins, Camaryn Chrisman; Peipert, Jeffrey F.

    2015-01-01

    Objective To examine the effect of hormonal contraception on sexual desire. Materials and Methods We performed a cross-sectional analysis of 1,938 of the 9,256 participants enrolled in the Contraceptive CHOICE Project. This subset included participants enrolled between April and September 2011 who completed a baseline and six-month telephone survey. Multivariable logistic regression was used to assess the association between contraceptive method and report of lacking interest in sex, controlling for potential confounding variables. Results More than one in five participants (23.9%) reported lacking interest in sex at 6 months after initiating a new contraceptive method. Of 262 copper IUD users (referent group), 18.3% reported lacking interest in sex. Our primary outcome was more prevalent in women who are young (copper IUD users, participants using depot medroxyprogesterone (ORadj=2.61, 95% confidence interval (CI)=1.47-4.61), the vaginal ring (ORadj=2.53, 95% CI=1.37-4.69), and the implant (ORadj=1.60, 95% CI=1.03-2.49) more commonly reported lack of interest in sex. We found no association between use of the hormonal IUD, oral contraceptive pill, and patch and lack of interest in sex. Conclusion CHOICE participants using depot medroxyprogesterone acetate, the contraceptive ring, and implant were more likely to report a lack of interest in sex compared to copper IUD users. Future research should confirm these findings and their possible physiological basis. Clinicians should be reassured that most women do not experience reduced sex drive with the use of most contraceptive methods. PMID:26855094

  1. Modeling the antecedents of proactive behavior at work.

    Science.gov (United States)

    Parker, Sharon K; Williams, Helen M; Turner, Nick

    2006-05-01

    Using a sample of U.K. wire makers (N = 282), the authors tested a model in which personality and work environment antecedents affect proactive work behavior via cognitive-motivational mechanisms. Self-reported proactive work behaviors (proactive idea implementation and proactive problem solving) were validated against rater assessments for a subsample (n = 60) of wire makers. With the exception of supportive supervision, each antecedent was important, albeit through different processes. Proactive personality was significantly associated with proactive work behavior via role breadth self-efficacy and flexible role orientation, job autonomy was also linked to proactive behavior via these processes, as well as directly; and coworker trust was associated with proactive behavior via flexible role orientation. In further support of the model, the cognitive-motivational processes for proactive work behavior differed from those for the more passive outcome of generalized compliance.

  2. Traffic Behavior Recognition Using the Pachinko Allocation Model

    Directory of Open Access Journals (Sweden)

    Thien Huynh-The

    2015-07-01

    Full Text Available CCTV-based behavior recognition systems have gained considerable attention in recent years in the transportation surveillance domain for identifying unusual patterns, such as traffic jams, accidents, dangerous driving and other abnormal behaviors. In this paper, a novel approach for traffic behavior modeling is presented for video-based road surveillance. The proposed system combines the pachinko allocation model (PAM and support vector machine (SVM for a hierarchical representation and identification of traffic behavior. A background subtraction technique using Gaussian mixture models (GMMs and an object tracking mechanism based on Kalman filters are utilized to firstly construct the object trajectories. Then, the sparse features comprising the locations and directions of the moving objects are modeled by PAMinto traffic topics, namely activities and behaviors. As a key innovation, PAM captures not only the correlation among the activities, but also among the behaviors based on the arbitrary directed acyclic graph (DAG. The SVM classifier is then utilized on top to train and recognize the traffic activity and behavior. The proposed model shows more flexibility and greater expressive power than the commonly-used latent Dirichlet allocation (LDA approach, leading to a higher recognition accuracy in the behavior classification.

  3. Clinical service desires of medical cannabis patients

    Directory of Open Access Journals (Sweden)

    Janichek Jennifer L

    2012-03-01

    Full Text Available Abstract Background Medical cannabis dispensaries following the social or hybrid model offer supplementary holistic services in addition to dispensing medical cannabis. Historically, alternative physical health services have been the norm for these dispensaries, including services such as yoga, acupuncture, or chiropractor visits. A clinical service dearth remains for medical cannabis patients seeking substance use, misuse, dependence, and mental health services. This study examined patient desires for various clinical services and level of willingness to participate in specific clinical services. Methods Anonymous survey data (N = 303 were collected at Harborside Health Center (HHC, a medical cannabis dispensary in Oakland, CA. The sample was 70% male, 48% Caucasian and 21% African American. The mean male age was 38 years old and female mean age was 30. Sixty two percent of the male participants and 44% of the female participants are single. Sixteen percent of the population reported having a domestic partner. Forty six percent of the participants are employed full time, 41% have completed at least some college, and 49% make less than $40,000 a year. Results A significant portion of the sample, 62%, indicated a desire to participate in free clinical services at HHC, 34% would like more information about substances and use, and 41% want to learn more about reducing harms from substance use. About one quarter of the participants marked "would" or "likely would" participate in individual services such as consultation. Approximately 20% indicated "would" or "likely would" participate in psycho-educational forums, harm reduction information sharing sessions, online support groups, and coping, life, and social skills group. There was little interest in traditional NA/AA 12-step groups or adapted 12-step groups. Conclusions Desired clinical services can be qualified as a combination of harm reduction, educational, skills-based, peer support and

  4. Performance of fire behavior fuel models developed for the Rothermel Surface Fire Spread Model

    Science.gov (United States)

    Robert Ziel; W. Matt Jolly

    2009-01-01

    In 2005, 40 new fire behavior fuel models were published for use with the Rothermel Surface Fire Spread Model. These new models are intended to augment the original 13 developed in 1972 and 1976. As a compiled set of quantitative fuel descriptions that serve as input to the Rothermel model, the selected fire behavior fuel model has always been critical to the resulting...

  5. A simplified model of choice behavior under uncertainty

    Directory of Open Access Journals (Sweden)

    Ching-Hung Lin

    2016-08-01

    Full Text Available The Iowa Gambling Task (IGT has been standardized as a clinical assessment tool (Bechara, 2007. Nonetheless, numerous research groups have attempted to modify IGT models to optimize parameters for predicting the choice behavior of normal controls and patients. A decade ago, most researchers considered the expected utility (EU model (Busemeyer and Stout, 2002 to be the optimal model for predicting choice behavior under uncertainty. However, in recent years, studies have demonstrated the prospect utility (PU models (Ahn et al., 2008 to be more effective than the EU models in the IGT. Nevertheless, after some preliminary tests, we propose that Ahn et al. (2008 PU model is not optimal due to some incompatible results between our behavioral and modeling data. This study aims to modify Ahn et al. (2008 PU model to a simplified model and collected 145 subjects’ IGT performance as the benchmark data for comparison. In our simplified PU model, the best goodness-of-fit was found mostly while α approaching zero. More specifically, we retested the key parameters α, λ , and A in the PU model. Notably, the power of influence of the parameters α, λ, and A has a hierarchical order in terms of manipulating the goodness-of-fit in the PU model. Additionally, we found that the parameters λ and A may be ineffective when the parameter α is close to zero in the PU model. The present simplified model demonstrated that decision makers mostly adopted the strategy of gain-stay-loss-shift rather than foreseeing the long-term outcome. However, there still have other behavioral variables that are not well revealed under these dynamic uncertainty situations. Therefore, the optimal behavioral models may not have been found. In short, the best model for predicting choice behavior under dynamic-uncertainty situations should be further evaluated.

  6. Ontology and modeling patterns for state-based behavior representation

    Science.gov (United States)

    Castet, Jean-Francois; Rozek, Matthew L.; Ingham, Michel D.; Rouquette, Nicolas F.; Chung, Seung H.; Kerzhner, Aleksandr A.; Donahue, Kenneth M.; Jenkins, J. Steven; Wagner, David A.; Dvorak, Daniel L.; Karban, Robert

    2015-01-01

    This paper provides an approach to capture state-based behavior of elements, that is, the specification of their state evolution in time, and the interactions amongst them. Elements can be components (e.g., sensors, actuators) or environments, and are characterized by state variables that vary with time. The behaviors of these elements, as well as interactions among them are represented through constraints on state variables. This paper discusses the concepts and relationships introduced in this behavior ontology, and the modeling patterns associated with it. Two example cases are provided to illustrate their usage, as well as to demonstrate the flexibility and scalability of the behavior ontology: a simple flashlight electrical model and a more complex spacecraft model involving instruments, power and data behaviors. Finally, an implementation in a SysML profile is provided.

  7. Modeling for the Dynamics of Human Innovative Behaviors

    CERN Document Server

    Lin, Ying-Ting; Wang, Bing-Hong

    2013-01-01

    How to promote the innovative activities is an important problem for modern society. In this paper, combining with the evolutionary games and information spreading, we propose a lattice model to investigate dynamics of human innovative behaviors based on benefit-driven assumption. Simulations show several properties in agreement with peoples' daily cognition on innovative behaviors, such as slow diffusion of innovative behaviors, gathering of innovative strategy on "innovative centers", and quasi-localized dynamics. Furthermore, our model also emerges rich non-Poisson properties in the temporal-spacial patterns of the innovative status, including the scaling law in the interval time of innovation releases and the bimodal distributions on the spreading range of innovations, which would be universal in human innovative behaviors. Our model provide a basic framework on the study of the issue relevant to the evolution of human innovative behaviors and the promotion measurement of innovative activities.

  8. Ontology and modeling patterns for state-based behavior representation

    Science.gov (United States)

    Castet, Jean-Francois; Rozek, Matthew L.; Ingham, Michel D.; Rouquette, Nicolas F.; Chung, Seung H.; Kerzhner, Aleksandr A.; Donahue, Kenneth M.; Jenkins, J. Steven; Wagner, David A.; Dvorak, Daniel L.; hide

    2015-01-01

    This paper provides an approach to capture state-based behavior of elements, that is, the specification of their state evolution in time, and the interactions amongst them. Elements can be components (e.g., sensors, actuators) or environments, and are characterized by state variables that vary with time. The behaviors of these elements, as well as interactions among them are represented through constraints on state variables. This paper discusses the concepts and relationships introduced in this behavior ontology, and the modeling patterns associated with it. Two example cases are provided to illustrate their usage, as well as to demonstrate the flexibility and scalability of the behavior ontology: a simple flashlight electrical model and a more complex spacecraft model involving instruments, power and data behaviors. Finally, an implementation in a SysML profile is provided.

  9. A Culture-Behavior-Brain Loop Model of Human Development.

    Science.gov (United States)

    Han, Shihui; Ma, Yina

    2015-11-01

    Increasing evidence suggests that cultural influences on brain activity are associated with multiple cognitive and affective processes. These findings prompt an integrative framework to account for dynamic interactions between culture, behavior, and the brain. We put forward a culture-behavior-brain (CBB) loop model of human development that proposes that culture shapes the brain by contextualizing behavior, and the brain fits and modifies culture via behavioral influences. Genes provide a fundamental basis for, and interact with, the CBB loop at both individual and population levels. The CBB loop model advances our understanding of the dynamic relationships between culture, behavior, and the brain, which are crucial for human phylogeny and ontogeny. Future brain changes due to cultural influences are discussed based on the CBB loop model.

  10. A model of disruptive surgeon behavior in the perioperative environment.

    Science.gov (United States)

    Cochran, Amalia; Elder, William B

    2014-09-01

    Surgeons are the physicians with the highest rates of documented disruptive behavior. We hypothesized that a unified conceptual model of disruptive surgeon behavior could be developed based on specific individual and system factors in the perioperative environment. Semi-structured interviews were conducted with 19 operating room staff of diverse occupations at a single institution. Interviews were analyzed using grounded theory methods. Participants described episodes of disruptive surgeon behavior, personality traits of perpetrators, environmental conditions of power, and situations when disruptive behavior was demonstrated. Verbal hostility and throwing or hitting objects were the most commonly described disruptive behaviors. Participants indicated that surgical training attracts and creates individuals with particular personality traits, including a sense of shame. Interviewees stated this behavior is tolerated because surgeons have unchecked power, have strong money-making capabilities for the institution, and tend to direct disruptive behavior toward the least powerful employees. The most frequent situational stressors were when something went wrong during an operation and working with unfamiliar team members. Each factor group (ie, situational stressors, cultural conditions, and personality factors) was viewed as being necessary, but none of them alone were sufficient to catalyze disruptive behavior events. Disruptive physician behavior has strong implications for the work environment and patient safety. This model can be used by hospitals to better conceptualize conditions that facilitate disruptive surgeon behavior and to establish programs to mitigate conduct that threatens patient safety and employee satisfaction. Copyright © 2014 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

  11. Desire for experiential travel, avoidance of rituality and social esteem: An empirical study of consumer response to tourism innovation

    Directory of Open Access Journals (Sweden)

    Wing Yin Chan

    2016-01-01

    Full Text Available This study investigates tourist consumption responses toward tourism innovation. To measure tourist responses, this study posits three key consumption drivers, namely social esteem, desire for experiential travel, and avoidance against rituality of tourism settings (a subscale of need for uniqueness and models consumers’ affective response within the context of tourism innovation. It involves 295 respondents in an empirical survey. The findings affirm the three drivers toward tourist consumption behavior. Avoidance of rituality reflects tourist preference toward tourism product and service innovation. Desire for experiential travel and the pursuit of social esteem signify tourism management and marketing innovation. Social esteem, need for status and creative choice have significant influence on tourists’ affective responses. Acquiring unique tourist products, desire for experiential travel and seeking social esteem are important motivations for tourist consumption. The implications of the study enrich the existing literature of consumer behavior and tourist consumption in response to tourism innovation.

  12. Contributions of Social Desirability to Self-Reported Ageism.

    Science.gov (United States)

    Cherry, Katie E; Allen, Priscilla D; Denver, Jenny Y; Holland, Kayla R

    2015-09-01

    The authors examined the role of social desirability in 445 participants' responses to self-reported measures of ageism across two studies. In Study 1, college students and community adults completed the Relating to Older People Evaluation (ROPE) and a short form of the Marlowe-Crowne Social Desirability Scale (M-C SDS). Study 2 was a conceptual replication that included the Fraboni Scale of Ageism (FSA). Correlation analyses confirmed a small but significant relationship between scores on the positive ageist items and the social desirability scale in both studies. Ageist attitudes were correlated with negative ageist behaviors in Study 2. Implications for current views on ageism and strategies for reducing ageist attitudes and behaviors in everyday life are discussed.

  13. Organizational buying behavior: An integrated model

    OpenAIRE

    Rakić Beba

    2002-01-01

    Organizational buying behavior is decision making process by which formal organizations establish the need for purchased products and services, and identify, evaluate, and choose among alternative brands and suppliers. Understanding the buying decision processes is essential to developing the marketing programs of companies that sell to organizations, or to 'industrial customers'. In business (industrial) marketing, exchange relationships between the organizational selling center and the orga...

  14. Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size

    Science.gov (United States)

    Ciciurkaite, Gabriele; Brady, Christy Freadreacea; Garcia, Justin

    2016-01-01

    Previous research has documented social contagion in obesity and related health behaviors, but less is known about the social processes underlying these patterns. Focusing on married or cohabitating couples, we simultaneously explore three potential social mechanisms influencing obesity: normative body size, social control, and behavior modeling. We analyze the association between partner characteristics and the obesity-related health behaviors of focal respondents, comparing the effects of partners’ body type, partners’ attempts to manage respondents’ eating behaviors, and partners’ own health behaviors on respondents’ health behaviors (physical activity, fruit and vegetable consumption, and fast food consumption). Data on 215 partners are extracted from a larger study of social mechanisms of obesity in family and community contexts conducted in 2011 in the United States. Negative binomial regression models indicate that partner behavior is significantly related to respondent behavior (p obesity-related patterns of consumption and physical activity. In contrast, we find little support for the influence of normative body size or partner social control in this sample, though generalizations about the relevance of these processes may be inappropriate. These results underscore the importance of policies and interventions that target dyads and social groups, suggesting that adoption of exercise or diet modifications in one individual is likely to spread to others, creating a social environment characterized by mutual reinforcement of healthy behavior. PMID:28033428

  15. Pleasure/Desire, Sexularism and Sexuality Education

    Science.gov (United States)

    Rasmussen, Mary Louise

    2012-01-01

    Pleasure and desire have been important components of researchers' vision for sexuality education for over 20 years, a trend inspired by Michelle Fine's seminal paper, "Sexuality, Schooling, and Adolescent Females: The Missing Discourse of Desire." This essay considers how discourses related to pleasure and desire have been taken up in the USA and…

  16. Pleasure/Desire, Sexularism and Sexuality Education

    Science.gov (United States)

    Rasmussen, Mary Louise

    2012-01-01

    Pleasure and desire have been important components of researchers' vision for sexuality education for over 20 years, a trend inspired by Michelle Fine's seminal paper, "Sexuality, Schooling, and Adolescent Females: The Missing Discourse of Desire." This essay considers how discourses related to pleasure and desire have been taken up in the USA and…

  17. [How does summer affect sexual desire?].

    Science.gov (United States)

    Kontula, Osmo; Väisälä, Leena

    2013-01-01

    Sexual desire involves many different things such as sexual thoughts and images, excitement, expectation and orgasm. Mood has a strong association with sexual desire. Fatigue and depression in particular cause lack of sexual desire. By affecting the state of alertness and energy in humans, sunlight may increase sexual activity.

  18. Shopping Behavior Recognition using a Language Modeling Analogy

    NARCIS (Netherlands)

    Popa, M.C.; Rothkrantz, L.J.M.; Wiggers, P.; Shan, C.

    2012-01-01

    Automatic understanding and recognition of human shopping behavior has many potential applications, attracting an increasing interest inthe market- ing domain. The reliability and performance of the automatic recognition system is highly in uenced by the adopted theoretical model of behavior. In thi

  19. A Behavioral Decision Making Modeling Approach Towards Hedging Services

    NARCIS (Netherlands)

    Pennings, J.M.E.; Candel, M.J.J.M.; Egelkraut, T.M.

    2003-01-01

    This paper takes a behavioral approach toward the market for hedging services. A behavioral decision-making model is developed that provides insight into how and why owner-managers decide the way they do regarding hedging services. Insight into those choice processes reveals information needed by fi

  20. Language Intent Models for Inferring User Browsing Behavior

    NARCIS (Netherlands)

    Tsagkias, M.; Blanco, R.

    2012-01-01

    Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing behavior with positive effects in user engagement, and revenue. We concentrate on online news agents, and present a semi-su

  1. An Examination of a Model of Anti-Pollution Behavior.

    Science.gov (United States)

    Iwata, Osamu

    1981-01-01

    Reports results of a study in which Japanese female undergraduates (N=118) responded to an environmental concern scale based upon a model of anti-pollution behavior focusing on: approach to information, confidence in science and technology, appreciation of natural beauty, causes, consequences, and purchasing and coping behaviors. (DC)

  2. A Meta-Analytic Review of Behavior Modeling Training

    Science.gov (United States)

    Taylor, Paul J.; Russ-Eft, Darlene F.; Chan, Daniel W. L.

    2005-01-01

    A meta-analysis of 117 studies evaluated the effects of behavior modeling training (BMT) on 6 training outcomes, across characteristics of training design. BMT effects were largest for learning outcomes, smaller for job behavior, and smaller still for results outcomes. Although BMT effects on declarative knowledge decayed over time, training…

  3. Fire behavior modeling-a decision tool

    Science.gov (United States)

    Jack Cohen; Bill Bradshaw

    1986-01-01

    The usefulness of an analytical model as a fire management decision tool is determined by the correspondence of its descriptive capability to the specific decision context. Fire managers must determine the usefulness of fire models as a decision tool when applied to varied situations. Because the wildland fire phenomenon is complex, analytical fire spread models will...

  4. A new model for developing and executing culturally appropriate behavior modification clinical trials for African Americans.

    Science.gov (United States)

    Ard, Jamy D; Carter-Edwards, Lori; Svetkey, Laura P

    2003-01-01

    Past clinical trials addressing behavior modification for cardiovascular disease (CVD) prevention have not been culturally appropriate for African Americans. This supposition is borne out by the continued challenges researchers face not only in recruiting and retaining African Americans in clinical trials, but also in achieving the desired outcomes among this population. Investigators have limited resources to develop culturally appropriate CVD prevention trials. The scientific literature reveals 2 models for implementing culturally appropriate interventions applicable to CVD prevention among African Americans; however, these models are not easily applied to the clinical trial setting. We propose a new model for developing a culturally appropriate clinical trial. The clinical trial is a function of the investigator's cultural framework, meaning that an investigator will have more difficulty designing clinical trials appropriate for use with cultures other than his or her own, a definite limitation when attempting to effectively reach diverse populations. Differences between the cultural frameworks of most clinical trials and African Americans' cultural frameworks lead to intrinsic biases, limiting the ability of African Americans to achieve the desired outcomes for any particular trial. An African-American participant's degree of immersion in traditional African-American culture, or acculturation, influences the magnitude of these biases. Investigators must be aware of, and attempt to mitigate, such biases so that the trial's potential for success is equitable across ethnic groups. In addition, investigators must understand how to effectively address relevant biases of African Americans without challenging their ethnic identity. Steps to decrease biases are described.

  5. Behavioral Model of Photovoltaic Panel in Simulink

    Directory of Open Access Journals (Sweden)

    ZAPLATILEK, K.

    2011-11-01

    Full Text Available This article deals with creation and application of a model of photovoltaic panel in the MATLAB and Simulink environments. An original model of the real PV panel is applied using the model based design technique. A so-called physical model is also developed using the SimPowerSystems library. The described PV panel model is applied for maximum power optimization in the one-shot and the continuous modes. A few illustrating examples and source code parts are also presented.

  6. The interpersonal process model of demand/withdraw behavior.

    Science.gov (United States)

    Baucom, Brian R; Dickenson, Janna A; Atkins, David C; Baucom, Donald H; Fischer, Melanie S; Weusthoff, Sarah; Hahlweg, Kurt; Zimmermann, Tanja

    2015-02-01

    The demand/withdraw interaction pattern is a destructive cycle of relationship communication behavior that is associated with negative individual and relationship outcomes. Demand/withdraw behavior is thought to be strongly linked to partners' emotional reactions, but current theories are inconsistent with empirical findings. The current study proposes the interpersonal process model of demand/withdraw behavior, which includes linkages between each partners' emotional reactions and the interpersonal behavior of demanding and withdrawing. Data come from problem solving discussions of 55 German couples with observationally coded demand/withdraw behavior and fundamental frequency (f₀) to measure vocally encoded emotional arousal. Actor-partner interdependence models (Kenny, Kashy, & Cook, 2006) were used to examine associations among demand/withdraw behavior and f₀ in the overall discussion and 5-min segments. Significant cross-partner associations emerged for demanding and withdrawing behavior across the whole conversation as well as within 5-min segments, and these associations are partially accounted for by each individual's f₀. When behaviorally coded demanders expressed more vocal arousal, they demanded more and withdrew less while their partners withdrew more. In contrast, when behaviorally coded withdrawers expressed more vocal arousal, their partners demanded less and withdrew more. Findings demonstrate that demand/withdraw behavior varies between couples (i.e., some couples engage in a stronger demand/withdraw cycle than others) and between segments (i.e., when 1 partner increases demanding, the other increases withdrawing). Findings support key elements of the interpersonal process model, showing intra- and interpersonal pathways linking demand/withdraw behavior and emotion and demonstrate the importance of partners' behavioral roles in these linkages.

  7. Behavioral models as theoretical frames to analyze the business objective

    Directory of Open Access Journals (Sweden)

    Hernán Alonso Bafico

    2015-12-01

    Full Text Available This paper examines Pfeffer’s Models of Behavior and connects each of them with attributes of the definition of the firm’s objective, assumed as the maximization of the sustainable, long term valor of the residual claims.Each of the five models of behavior (rational, social, moral, retrospective and cognitive contributes to the decision making and goal setting processes with its particular and complementary elements. From those assuming complete rationality and frictionless markets, to the models emphasizing the role of ethical positions, and the presence of perceptive and cognitive mechanisms. The analysis highlights the main contributions of critical theories and models of behavior, underlining their focus on non-traditional variables, regarded as critical inputs for goal setting processes and designing alternative executive incentive schemes.  The explicit consideration of those variables does not indicate the need for a new definition of corporate objective. The maximization of the long term value of the shareholders’ claims still defines the relevant objective function of the firm, remaining as the main yardstick of corporate performance.Behavioral models are recognized as important tools to help managers direct their attention to long term strategies. In the last part, we comment on the relationship between the objective function and behavioral models, from the practitioners’ perspective.Key words: Firm Objectives, Behavioral Models, Value Maximization, Stakeholder Theory.

  8. Quantifying and Disaggregating Consumer Purchasing Behavior for Energy Systems Modeling

    Science.gov (United States)

    Consumer behaviors such as energy conservation, adoption of more efficient technologies, and fuel switching represent significant potential for greenhouse gas mitigation. Current efforts to model future energy outcomes have tended to use simplified economic assumptions ...

  9. Developing 'integrative' zebrafish models of behavioral and metabolic disorders.

    Science.gov (United States)

    Nguyen, Michael; Yang, Ester; Neelkantan, Nikhil; Mikhaylova, Alina; Arnold, Raymond; Poudel, Manoj K; Stewart, Adam Michael; Kalueff, Allan V

    2013-11-01

    Recently, the pathophysiological overlap between metabolic and mental disorders has received increased recognition. Zebrafish (Danio rerio) are rapidly becoming a popular model organism for translational biomedical research due to their genetic tractability, low cost, quick reproductive cycle, and ease of behavioral, pharmacological or genetic manipulation. High homology to mammalian physiology and the availability of well-developed assays also make the zebrafish an attractive organism for studying human disorders. Zebrafish neurobehavioral and endocrine phenotypes show promise for the use of zebrafish in studies of stress, obesity and related behavioral and metabolic disorders. Here, we discuss the parallels between zebrafish and other model species in stress and obesity physiology, as well as outline the available zebrafish models of weight gain, metabolic deficits, feeding, stress, anxiety and related behavioral disorders. Overall, zebrafish demonstrate a strong potential for modeling human behavioral and metabolic disorders, and their comorbidity.

  10. Critical Behavior of the Widom-Rowlinson Lattice Model

    CERN Document Server

    Dickman, R; Dickman, Ronald; Stell, George

    1995-01-01

    We report extensive Monte Carlo simulations of the Widom-Rowlinson lattice model in two and three dimensions. Our results yield precise values for the critical activities and densities, and clearly place the critical behavior in the Ising universality class.

  11. Behavioral and Neuroanatomical Phenotypes in Mouse Models of Autism.

    Science.gov (United States)

    Ellegood, Jacob; Crawley, Jacqueline N

    2015-07-01

    In order to understand the consequences of the mutation on behavioral and biological phenotypes relevant to autism, mutations in many of the risk genes for autism spectrum disorder have been experimentally generated in mice. Here, we summarize behavioral outcomes and neuroanatomical abnormalities, with a focus on high-resolution magnetic resonance imaging of postmortem mouse brains. Results are described from multiple mouse models of autism spectrum disorder and comorbid syndromes, including the 15q11-13, 16p11.2, 22q11.2, Cntnap2, Engrailed2, Fragile X, Integrinβ3, MET, Neurexin1a, Neuroligin3, Reelin, Rett, Shank3, Slc6a4, tuberous sclerosis, and Williams syndrome models, and inbred strains with strong autism-relevant behavioral phenotypes, including BTBR and BALB. Concomitant behavioral and neuroanatomical abnormalities can strengthen the interpretation of results from a mouse model, and may elevate the usefulness of the model system for therapeutic discovery.

  12. Modeling the predictors of safety behavior in construction workers.

    Science.gov (United States)

    Shin, Dong-Phil; Gwak, Han-Seong; Lee, Dong-Eun

    2015-01-01

    This paper presents a model that quantifies the causal relations among safety variables (latent variables) and workers' safety behavior (indicator) using statistical data and hypotheses obtained from construction workers and existing literatures, respectively. The safety variables that affect workers' safety behaviors are identified from existing studies and operationalized to measure their causal relations with the workers' behaviors. The model identifies the directions and degrees of the effect of every latent variable on the other latent variables and the indicator. Survey questionnaires were administered to construction workers in South Korea. Exploratory and confirmatory factor analyses, Cronbach's α and structural equation modeling were performed to test the causal hypotheses using SPSS 18.0 and AMOS 18.0. This study provides the theoretical model that predicts construction workers' safety behavior on construction sites using path diagram and analysis.

  13. Puget Sound Recreational Shellfish Harvesting Survey - Model Intended Angler Behavior

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Collect and analyze survey data from recreational saltwater fishermen in Oregon and Washington. Model trip demand using stated frequency / contingent behavior data....

  14. Quantifying and Disaggregating Consumer Purchasing Behavior for Energy Systems Modeling

    Science.gov (United States)

    Consumer behaviors such as energy conservation, adoption of more efficient technologies, and fuel switching represent significant potential for greenhouse gas mitigation. Current efforts to model future energy outcomes have tended to use simplified economic assumptions ...

  15. A BEHAVIORAL-APPROACH TO LINEAR EXACT MODELING

    NARCIS (Netherlands)

    ANTOULAS, AC; WILLEMS, JC

    1993-01-01

    The behavioral approach to system theory provides a parameter-free framework for the study of the general problem of linear exact modeling and recursive modeling. The main contribution of this paper is the solution of the (continuous-time) polynomial-exponential time series modeling problem. Both re

  16. Modeling Customer's Satisfaction Behavior through Uninorms

    OpenAIRE

    Depaire, Benoit; Vanhoof, Koen; Wets, Geert

    2006-01-01

    During the last three decades, the focus of customer satisfaction research has shifted from what it was about the product or service that customers found satisfying to how and why customers became satisfied. This resulted into several models that try to explain the customer's satisfaction behaviour, among which the expectancy-disconfirmation paradigm is one of the most prominent models. This model identifies three elements which have an influence on the customer's satisfaction level: i.e perf...

  17. Modeling and Simulation of Elementary Robot Behaviors using Associative Memories

    Directory of Open Access Journals (Sweden)

    Claude F. Touzet

    2008-11-01

    Full Text Available Today, there are several drawbacks that impede the necessary and much needed use of robot learning techniques in real applications. First, the time needed to achieve the synthesis of any behavior is prohibitive. Second, the robot behavior during the learning phase is ? by definition ? bad, it may even be dangerous. Third, except within the lazy learning approach, a new behavior implies a new learning phase. We propose in this paper to use associative memories (self-organizing maps to encode the non explicit model of the robot-world interaction sampled by the lazy memory, and then generate a robot behavior by means of situations to be achieved, i.e., points on the self-organizing maps. Any behavior can instantaneously be synthesized by the definition of a goal situation. Its performance will be minimal (not necessarily bad and will improve by the mere repetition of the behavior.

  18. Desire on and off the couch.

    Science.gov (United States)

    Friedberg, Ahron L

    2013-03-01

    The concept of desire is potentially useful and underutilized for elucidating and understanding psychoanalytic material and informing psychoanalytic technique. It can be employed as a lens for viewing and clarifying diverse clinical phenomenon and other mental productions. One way of defining desire as a conceptual framework as applied to psychoanalytic theory is to refract it into three components: (1) love (emotional desire), (2) sex (physical desire), and (3) passion (other manifestations of desire). These different aspects of desire are manifest in and of themselves and as enhancements of one another. Focusing on each of them as manifest in the transference/countertransference relationship in analysis can facilitate a patient becoming more aware of psychological conflicts and working them through in analysis. This paper presents and discusses a case study in which these different aspects of desire are employed and analyzed.

  19. Desire thinking as a predictor of gambling.

    Science.gov (United States)

    Fernie, Bruce A; Caselli, Gabriele; Giustina, Lucia; Donato, Gilda; Marcotriggiani, Antonella; Spada, Marcantonio M

    2014-04-01

    Desire thinking is a voluntary cognitive process involving verbal and imaginal elaboration of a desired target. A desired target can relate to an object, an internal state or an activity, such as gambling. This study investigated the role of desire thinking in gambling in a cohort of participants recruited from community and clinical settings. Ninety five individuals completed a battery of self-report measures consisting of the Hospital Anxiety and Depression Scale (HADS), the Gambling Craving Scale (GCS), the Desire Thinking Questionnaire (DTQ) and the South Oaks Gambling Screen (SOGS). Correlation analyses revealed that gender, educational level, recruitment source, anxiety and depression, craving and desire thinking were correlated with gambling. A hierarchical multiple regression analysis revealed that both recruitment source and desire thinking were the only independent predictors of gambling when controlling for all other study variables, including craving. These findings are discussed in the light of metacognitive therapy (MCT).

  20. Multivariable modeling and multivariate analysis for the behavioral sciences

    CERN Document Server

    Everitt, Brian S

    2009-01-01

    Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multip

  1. Learning Markov models for stationary system behaviors

    DEFF Research Database (Denmark)

    Chen, Yingke; Mao, Hua; Jaeger, Manfred

    2012-01-01

    Establishing an accurate model for formal verification of an existing hardware or software system is often a manual process that is both time consuming and resource demanding. In order to ease the model construction phase, methods have recently been proposed for automatically learning accurate...... system models from data in the form of observations of the target system. Common for these approaches is that they assume the data to consist of multiple independent observation sequences. However, for certain types of systems, in particular many running embedded systems, one would only have access...... the learned model. Experiments demonstrate that system properties (formulated as stationary probabilities of LTL formulas) can be reliably identified using the learned model....

  2. Behavioral phenotypes of genetic mouse models of autism.

    Science.gov (United States)

    Kazdoba, T M; Leach, P T; Crawley, J N

    2016-01-01

    More than a hundred de novo single gene mutations and copy-number variants have been implicated in autism, each occurring in a small subset of cases. Mutant mouse models with syntenic mutations offer research tools to gain an understanding of the role of each gene in modulating biological and behavioral phenotypes relevant to autism. Knockout, knockin and transgenic mice incorporating risk gene mutations detected in autism spectrum disorder and comorbid neurodevelopmental disorders are now widely available. At present, autism spectrum disorder is diagnosed solely by behavioral criteria. We developed a constellation of mouse behavioral assays designed to maximize face validity to the types of social deficits and repetitive behaviors that are central to an autism diagnosis. Mouse behavioral assays for associated symptoms of autism, which include cognitive inflexibility, anxiety, hyperactivity, and unusual reactivity to sensory stimuli, are frequently included in the phenotypic analyses. Over the past 10 years, we and many other laboratories around the world have employed these and additional behavioral tests to phenotype a large number of mutant mouse models of autism. In this review, we highlight mouse models with mutations in genes that have been identified as risk genes for autism, which work through synaptic mechanisms and through the mTOR signaling pathway. Robust, replicated autism-relevant behavioral outcomes in a genetic mouse model lend credence to a causal role for specific gene contributions and downstream biological mechanisms in the etiology of autism.

  3. Modeling and simulating human teamwork behaviors using intelligent agents

    Science.gov (United States)

    Fan, Xiaocong; Yen, John

    2004-12-01

    Among researchers in multi-agent systems there has been growing interest in using intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is important for training humans in gaining collaborative skills, for supporting humans in making critical decisions by proactively gathering, fusing, and sharing information, and for building coherent teams with both humans and agents working effectively on intelligence-intensive problems. Teamwork modeling is also challenging because the research has spanned diverse disciplines from business management to cognitive science, human discourse, and distributed artificial intelligence. This article presents an extensive, but not exhaustive, list of work in the field, where the taxonomy is organized along two main dimensions: team social structure and social behaviors. Along the dimension of social structure, we consider agent-only teams and mixed human-agent teams. Along the dimension of social behaviors, we consider collaborative behaviors, communicative behaviors, helping behaviors, and the underpinning of effective teamwork-shared mental models. The contribution of this article is that it presents an organizational framework for analyzing a variety of teamwork simulation systems and for further studying simulated teamwork behaviors.

  4. How does alcohol advertising influence underage drinking? The role of desirability, identification and skepticism.

    Science.gov (United States)

    Austin, Erica Weintraub; Chen, Meng-Jinn; Grube, Joel W

    2006-04-01

    To investigate, using an information processing model, how persuasive media messages for alcohol use lead to concurring beliefs and behaviors among youths. Data were collected in 2000-2001 using computer-assisted, self-administered interviews with youths aged 9-17 years (n = 652). Latent variable structural equations models showed that skepticism was negatively associated with positive affect toward alcohol portrayals and positively with the desire to emulate characters portrayed in alcohol advertisements. These, in turn, predicted expectancies and liking of/desire for beer toys and brands, which predicted alcohol use. Parental guidance decreased alcohol use directly and indirectly by lessening influences of positive affect toward advertising. Media alcohol portrayals influence children's drinking through a progressive decision-making process, with its influence underestimated by typical exposure-and-effects analyses.

  5. The gravity model of labor migration behavior

    Science.gov (United States)

    Alexandr, Tarasyev; Alexandr, Tarasyev

    2017-07-01

    In this article, we present a dynamic inter-regional model, that is based on the gravity approach to migration and describes in continuous time the labor force dynamics between a number of conjugate regions. Our modification of the gravity migration model allows to explain the migration processes and to display the impact of migration on the regional economic development both for regions of origin and attraction. The application of our model allows to trace the dependency between salaries levels, total workforce, the number of vacancies and the number unemployed people in simulated regions. Due to the gravity component in our model the accuracy of prediction for migration flows is limited by the distance range between analyzed regions, so this model is tested on a number of conjugate neighbor regions. Future studies will be aimed at development of a multi-level dynamic model, which allows to construct a forecast for unemployment and vacancies trends on the first modeling level and to use these identified parameters on the second level for describing dynamic trajectories of migration flows.

  6. Relevance of behavioral and social models to the study of consumer energy decision making and behavior

    Energy Technology Data Exchange (ETDEWEB)

    Burns, B.A.

    1980-11-01

    This report reviews social and behavioral science models and techniques for their possible use in understanding and predicting consumer energy decision making and behaviors. A number of models and techniques have been developed that address different aspects of the decision process, use different theoretical bases and approaches, and have been aimed at different audiences. Three major areas of discussion were selected: (1) models of adaptation to social change, (2) decision making and choice, and (3) diffusion of innovation. Within these three areas, the contributions of psychologists, sociologists, economists, marketing researchers, and others were reviewed. Five primary components of the models were identified and compared. The components are: (1) situational characteristics, (2) product characteristics, (3) individual characteristics, (4) social influences, and (5) the interaction or decision rules. The explicit use of behavioral and social science models in energy decision-making and behavior studies has been limited. Examples are given of a small number of energy studies which applied and tested existing models in studying the adoption of energy conservation behaviors and technologies, and solar technology.

  7. Modeling synchronized calling behavior of Japanese tree frogs

    Science.gov (United States)

    Aihara, Ikkyu

    2009-07-01

    We experimentally observed synchronized calling behavior of male Japanese tree frogs Hyla japonica; namely, while isolated single frogs called nearly periodically, a pair of interacting frogs called synchronously almost in antiphase or inphase. In this study, we propose two types of phase-oscillator models on different degrees of approximations, which can quantitatively explain the phase and frequency properties in the experiment. Moreover, it should be noted that, although the second model is obtained by fitting to the experimental data of the two synchronized states, the model can also explain the transitory dynamics in the interactive calling behavior, namely, the shift from a transient inphase state to a stable antiphase state. We also discuss the biological relevance of the estimated parameter values to calling behavior of Japanese tree frogs and the possible biological meanings of the synchronized calling behavior.

  8. Formal modeling of robot behavior with learning.

    Science.gov (United States)

    Kirwan, Ryan; Miller, Alice; Porr, Bernd; Di Prodi, P

    2013-11-01

    We present formal specification and verification of a robot moving in a complex network, using temporal sequence learning to avoid obstacles. Our aim is to demonstrate the benefit of using a formal approach to analyze such a system as a complementary approach to simulation. We first describe a classical closed-loop simulation of the system and compare this approach to one in which the system is analyzed using formal verification. We show that the formal verification has some advantages over classical simulation and finds deficiencies our classical simulation did not identify. Specifically we present a formal specification of the system, defined in the Promela modeling language and show how the associated model is verified using the Spin model checker. We then introduce an abstract model that is suitable for verifying the same properties for any environment with obstacles under a given set of assumptions. We outline how we can prove that our abstraction is sound: any property that holds for the abstracted model will hold in the original (unabstracted) model.

  9. Micromechanical modeling of rate-dependent behavior of Connective tissues.

    Science.gov (United States)

    Fallah, A; Ahmadian, M T; Firozbakhsh, K; Aghdam, M M

    2017-03-07

    In this paper, a constitutive and micromechanical model for prediction of rate-dependent behavior of connective tissues (CTs) is presented. Connective tissues are considered as nonlinear viscoelastic material. The rate-dependent behavior of CTs is incorporated into model using the well-known quasi-linear viscoelasticity (QLV) theory. A planar wavy representative volume element (RVE) is considered based on the tissue microstructure histological evidences. The presented model parameters are identified based on the available experiments in the literature. The presented constitutive model introduced to ABAQUS by means of UMAT subroutine. Results show that, monotonic uniaxial test predictions of the presented model at different strain rates for rat tail tendon (RTT) and human patellar tendon (HPT) are in good agreement with experimental data. Results of incremental stress-relaxation test are also presented to investigate both instantaneous and viscoelastic behavior of connective tissues.

  10. Animal models of suicide-trait-related behaviors.

    Science.gov (United States)

    Malkesman, Oz; Pine, Daniel S; Tragon, Tyson; Austin, Daniel R; Henter, Ioline D; Chen, Guang; Manji, Husseini K

    2009-04-01

    Although antidepressants are moderately effective in treating major depressive disorder (MDD), concerns have arisen that selective serotonin-reuptake inhibitors (SSRIs) are associated with suicidal thinking and behavior, especially in children, adolescents and young adults. Almost no experimental research in model systems has considered the mechanisms by which SSRIs might be associated with this potential side effect in some susceptible individuals. Suicide is a complex behavior and impossible to fully reproduce in an animal model. However, by investigating traits that show strong cross-species parallels in addition to associations with suicide in humans, animal models might elucidate the mechanisms by which SSRIs are associated with suicidal thinking and behavior. Traits linked with suicide in humans that can be successfully modeled in rodents include aggression, impulsivity, irritability and hopelessness/helplessness. Modeling these relevant traits in animals can help to clarify the impact of SSRIs on these traits, suggesting avenues for reducing suicide risk in this vulnerable population.

  11. Modeling toxaphene behavior in the Great Lakes.

    Science.gov (United States)

    Xia, Xiaoyan; Hopke, Philip K; Holsen, Thomas M; Crimmins, Bernard S

    2011-01-15

    Chlorinated camphenes, toxaphene, are persistent organic pollutants of concern in the Great Lakes since elevated concentrations are found in various media throughout the system. While concentrations have decreased since their peak values in the 1970s and 80s, recent measurements have shown that the rate of this decline in Lake Superior has decreased significantly. This modeling study focused on toxaphene cycling in the Great Lakes and was performed primarily to determine if elevated water and fish concentrations in Lake Superior can be explained by physical differences among the lakes. Specifically, the coastal zone model for persistent organic pollutants (CoZMo-POP), a fugacity-based multimedia fate model, was used to calculate toxaphene concentrations in the atmosphere, water, soil, sediment, and biota. The performance of the model was evaluated by comparing calculated and reported concentrations in these compartments. In general, simulated and observed concentrations agree within one order of magnitude. Both model results and observed values indicate that toxaphene concentrations have declined in water and biota since the 1980s primarily as the result of decreased atmospheric deposition rates. Overall the model results suggest that the CoZMo-POP2 model does a reasonable job in simulating toxaphene variations in the Great Lakes basin. The results suggest that the recent findings of higher toxaphene concentrations in Lake Superior can be explained by differences in the physical properties of the lake (primarily large volume, large residence time and cold temperatures) compared to the lower lakes and increased recent inputs are not needed to explain the measured values.

  12. Media Bound Culture of Women’s Identity and Desire

    Directory of Open Access Journals (Sweden)

    Adhikari Harasankar

    2016-12-01

    Full Text Available The post global era is signified in terms of women’s changed status in the patriarchal society of India. Their participation in the work force is not experienced as good or as desired because they have to face rampant violence related to their reorganized desires. The media-bound culture is a prime cause of their mimetic behavior in lifestyle and other choices. This paper attempts to raise two questions: Might this be the major cause of the violence? Is there a relationship between consumerism and women’s body as sex commodity?

  13. Multicritical behavior in dissipative Ising models

    CERN Document Server

    Overbeck, Vincent R; Gorshkov, Alexey V; Weimer, Hendrik

    2016-01-01

    We analyze theoretically the many-body dynamics of a dissipative Ising model in a transverse field using a variational approach. We find that the steady state phase diagram is substantially modified compared to its equilibrium counterpart, including the appearance of a multicritical point belonging to a different universality class. Building on our variational analysis, we establish a field-theoretical treatment corresponding to a dissipative variant of a Ginzburg-Landau theory, which allows us to compute the upper critical dimension of the system. Finally, we present a possible experimental realization of the dissipative Ising model using ultracold Rydberg gases.

  14. Fusing visual and behavioral cues for modeling user experience in games.

    Science.gov (United States)

    Shaker, Noor; Asteriadis, Stylianos; Yannakakis, Georgios N; Karpouzis, Kostas

    2013-12-01

    Estimating affective and cognitive states in conditions of rich human-computer interaction, such as in games, is a field of growing academic and commercial interest. Entertainment and serious games can benefit from recent advances in the field as, having access to predictors of the current state of the player (or learner) can provide useful information for feeding adaptation mechanisms that aim to maximize engagement or learning effects. In this paper, we introduce a large data corpus derived from 58 participants that play the popular Super Mario Bros platform game and attempt to create accurate models of player experience for this game genre. Within the view of the current research, features extracted both from player gameplay behavior and game levels, and player visual characteristics have been used as potential indicators of reported affect expressed as pairwise preferences between different game sessions. Using neuroevolutionary preference learning and automatic feature selection, highly accurate models of reported engagement, frustration, and challenge are constructed (model accuracies reach 91%, 92%, and 88% for engagement, frustration, and challenge, respectively). As a step further, the derived player experience models can be used to personalize the game level to desired levels of engagement, frustration, and challenge as game content is mapped to player experience through the behavioral and expressivity patterns of each player.

  15. Accountability: a missing construct in models of adherence behavior and in clinical practice.

    Science.gov (United States)

    Oussedik, Elias; Foy, Capri G; Masicampo, E J; Kammrath, Lara K; Anderson, Robert E; Feldman, Steven R

    2017-01-01

    Piano lessons, weekly laboratory meetings, and visits to health care providers have in common an accountability that encourages people to follow a specified course of action. The accountability inherent in the social interaction between a patient and a health care provider affects patients' motivation to adhere to treatment. Nevertheless, accountability is a concept not found in adherence models, and is rarely employed in typical medical practice, where patients may be prescribed a treatment and not seen again until a return appointment 8-12 weeks later. The purpose of this paper is to describe the concept of accountability and to incorporate accountability into an existing adherence model framework. Based on the Self-Determination Theory, accountability can be considered in a spectrum from a paternalistic use of duress to comply with instructions (controlled accountability) to patients' autonomous internal desire to please a respected health care provider (autonomous accountability), the latter expected to best enhance long-term adherence behavior. Existing adherence models were reviewed with a panel of experts, and an accountability construct was incorporated into a modified version of Bandura's Social Cognitive Theory. Defining accountability and incorporating it into an adherence model will facilitate the development of measures of accountability as well as the testing and refinement of adherence interventions that make use of this critical determinant of human behavior.

  16. System Behavior Models: A Survey of Approaches

    Science.gov (United States)

    2016-06-01

    Mandana Vaziri, and Frank Tip. 2007. “Finding Bugs Efficiently with a SAT Solver.” In European Software Engineering Conference and the ACM SIGSOFT...Van Gorp. 2005. “A Taxonomy of Model Transformation.” Electronic Notes in Theoretical Computer Science 152: 125–142. Miyazawa, Alvaro, and Ana

  17. A Social Neuroscientific Model of Vocational Behavior

    Science.gov (United States)

    Hansen, Jo-Ida C.; Sullivan, Brandon A.; Luciana, Monica

    2011-01-01

    In this article, the separate literatures of a neurobiologically based approach system and vocational interests are reviewed and integrated into a social neuroscientific model of the processes underlying interests, based upon the idea of selective approach motivation. The authors propose that vocational interests describe the types of stimuli that…

  18. Molecular Modeling of Interfacial Behaviors of Nanomaterials

    Science.gov (United States)

    2007-05-01

    15 L. Huang, and J. Kieffer, ’Molecular Dynamics Study of Cristobalite Silica Using a Charge Transfer Three- Body Potential Model,’ J. Chem. Phys...8217 Nano Letters in preparation (2006). 20 J. Zhou, and J. Kieffer, ’Simulation of Hexane-Functionalized Polyhedral Oligomeric Silses- quioxanes,’ J

  19. Behavior modification in primary care: the pressure system model.

    Science.gov (United States)

    Katz, D L

    2001-01-01

    The leading causes of death in the United States are predominantly attributable to modifiable behaviors. Patients with behavioral risk factors for premature death and disability, including dietary practices; sexual practices; level of physical activity; motor vehi cle use patterns; and tobacco, alcohol, and illicit sub stance use, are seen far more consistently by primary care providers than by mental health specialists. Yet models of behavior modification are reported, debated, and revised almost exclusively in the psychology literature. While the Stages of Change Model, or Transtheo retical Model, has won application in a broadening array of clinical settings, its application in the primary care setting is apparently quite limited despite evidence of its utility [Prochaska J, Velicer W. Am J Health Promot 1997;12:38-48]. The lack of a rigorous behavioral model developed for application in the primary care setting is an impediment to the accomplishment of public health goals specified in the Healthy People objectives and in the reports of the U.S. Preventive Services Task Force. The Pressure System Model reported here synthesizes elements of established behavior modification theories for specific application under the constraints of the primary care setting. Use of the model in both clinical and research settings, with outcome evaluation, is encouraged as part of an effort to advance public health.

  20. Etiological model of disordered eating behaviors in Brazilian adolescent girls.

    Science.gov (United States)

    Fortes, Leonardo de Sousa; Filgueiras, Juliana Fernandes; Oliveira, Fernanda da Costa; Almeida, Sebastião Sousa; Ferreira, Maria Elisa Caputo

    2016-01-01

    The objective was to construct an etiological model of disordered eating behaviors in Brazilian adolescent girls. A total of 1,358 adolescent girls from four cities participated. The study used psychometric scales to assess disordered eating behaviors, body dissatisfaction, media pressure, self-esteem, mood, depressive symptoms, and perfectionism. Weight, height, and skinfolds were measured to calculate body mass index (BMI) and percent body fat (%F). Structural equation modeling explained 76% of variance in disordered eating behaviors (F(9, 1,351) = 74.50; p = 0.001). The findings indicate that body dissatisfaction mediated the relationship between media pressures, self-esteem, mood, BMI, %F, and disordered eating behaviors (F(9, 1,351) = 59.89; p = 0.001). Although depressive symptoms were not related to body dissatisfaction, the model indicated a direct relationship with disordered eating behaviors (F(2, 1,356) = 23.98; p = 0.001). In conclusion, only perfectionism failed to fit the etiological model of disordered eating behaviors in Brazilian adolescent girls.

  1. Human Behavior Model Based Control Program for ACC Mobile Robot

    Directory of Open Access Journals (Sweden)

    Claudiu Pozna

    2006-07-01

    Full Text Available Present work is a part of the ACC autonomous car project. This paper will focuson the control program architecture. To design this architecture we will start from thehuman driver behavior model. Using this model we have constructed a three level controlprogram. Preliminary results are presented.

  2. Gilbert's Behavior Engineering Model: Contemporary Support for an Established Theory

    Science.gov (United States)

    Crossman, Donna Cangelosi

    2010-01-01

    This study was an effort to add to the body of research surrounding Gilbert's Behavior Engineering Model (BEM). The model was tested to determine its ability to explain factor relationships of organizational safety culture in a high-risk work environment. Three contextual variables were measured: communication, resource availability, and…

  3. Patterns of Buyer Behavior: Regularities, Models, and Extensions

    OpenAIRE

    Mark Uncles; Andrew Ehrenberg; Kathy Hammond

    1995-01-01

    Many empirical regularities in the buying behavior of consumers have been linked together into a comprehensive model, the Dirichlet. In this paper we list some of the well-established regularities, show how they are theoretically intertwined, and illustrate how this approach to modeling can assist the marketing analyst.

  4. A Social Episode Model of Human Sexual Behavior

    Science.gov (United States)

    Meyer, Robert G.; Freeman, William M.

    1976-01-01

    A social episode model of sexual behavior is proposed with emphasis placed on arousal as a crucial variable. This model argues against a disease or deficiency concept of homosexuality. The authors hold a therapist should adequately respond to a valid sexual orientation request. (Author)

  5. A New Approach for Magneto-Static Hysteresis Behavioral Modeling

    DEFF Research Database (Denmark)

    Astorino, Antonio; Swaminathan, Madhavan; Antonini, Giulio

    2016-01-01

    In this paper, a new behavioral modeling approach for magneto-static hysteresis is presented. Many accurate models are currently available, but none of them seems to be able to correctly reproduce all the possible B-H paths with low computational cost. By contrast, the approach proposed...... achieved when comparing the measured and simulated results....

  6. Modeling structural dynamic behavior of SSME components

    Science.gov (United States)

    Kiefling, Larry A.; Saxon, J. B.; Prickett, T. L.

    1991-01-01

    FEM studies are presented of the nozzle and the low-pressure fuel-pump inducer designs for the Space Shuttle Main Engine (SSME) to analyze the effects of structural vibrations. FEM preprocessing software based on a CAD system is employed to develop a model of the component's sophisticated geometry. The nozzle geometry is also defined by means of the preprocessing technique and subsequently analyzed with respect to time-transient loading. The analysis is conducted with a Cray supercomputer using the SPAR/EAL FEM program. The investigation of the nozzle demonstrates the advantageous use of symmetry in the determination of nozzle response to SSME start-up transients. Plots of time vs strain are developed for gages on the nozzle wall and steerhorn tubing. The results of the inducer modeling are found to be adequate for investigating the component's principle modes, and the nozzle results indicate the suitability of the FEM techniques for optimizing the design of engine components.

  7. Genetic and Modeling Approaches Reveal Distinct Components of Impulsive Behavior.

    Science.gov (United States)

    Nautiyal, Katherine M; Wall, Melanie M; Wang, Shuai; Magalong, Valerie M; Ahmari, Susanne E; Balsam, Peter D; Blanco, Carlos; Hen, René

    2017-01-18

    Impulsivity is an endophenotype found in many psychiatric disorders including substance use disorders, pathological gambling, and attention deficit hyperactivity disorder. Two behavioral features often considered in impulsive behavior are behavioral inhibition (impulsive action) and delayed gratification (impulsive choice). However, the extent to which these behavioral constructs represent distinct facets of behavior with discrete biological bases is unclear. To test the hypothesis that impulsive action and impulsive choice represent statistically independent behavioral constructs in mice, we collected behavioral measures of impulsivity in a single cohort of mice using well-validated operant behavioral paradigms. Mice with manipulation of serotonin 1B receptor (5-HT1BR) expression were included as a model of disordered impulsivity. A factor analysis was used to characterize correlations between the measures of impulsivity and to identify covariates. Using two approaches, we dissociated impulsive action from impulsive choice. First, the absence of 5-HT1BRs caused increased impulsive action, but not impulsive choice. Second, based on an exploratory factor analysis, a two-factor model described the data well, with measures of impulsive action and choice separating into two independent factors. A multiple-indicator multiple-causes analysis showed that 5-HT1BR expression and sex were significant covariates of impulsivity. Males displayed increased impulsivity in both dimensions, whereas 5-HT1BR expression was a predictor of increased impulsive action only. These data support the conclusion that impulsive action and impulsive choice are distinct behavioral phenotypes with dissociable biological influences that can be modeled in mice. Our work may help inform better classification, diagnosis, and treatment of psychiatric disorders, which present with disordered impulsivity.Neuropsychopharmacology advance online publication, 18 January 2017; doi:10.1038/npp.2016.277.

  8. Modeling pedestrian's conformity violation behavior: a complex network based approach.

    Science.gov (United States)

    Zhou, Zhuping; Hu, Qizhou; Wang, Wei

    2014-01-01

    Pedestrian injuries and fatalities present a problem all over the world. Pedestrian conformity violation behaviors, which lead to many pedestrian crashes, are common phenomena at the signalized intersections in China. The concepts and metrics of complex networks are applied to analyze the structural characteristics and evolution rules of pedestrian network about the conformity violation crossings. First, a network of pedestrians crossing the street is established, and the network's degree distributions are analyzed. Then, by using the basic idea of SI model, a spreading model of pedestrian illegal crossing behavior is proposed. Finally, through simulation analysis, pedestrian's illegal crossing behavior trends are obtained in different network structures and different spreading rates. Some conclusions are drawn: as the waiting time increases, more pedestrians will join in the violation crossing once a pedestrian crosses on red firstly. And pedestrian's conformity violation behavior will increase as the spreading rate increases.

  9. Desired and Actual Labour Supply of Unmarried Men and Women in the Netherlands

    NARCIS (Netherlands)

    Euwals, R.W.; van Soest, A.H.O.

    1996-01-01

    Desired and actual working hours of unmarried adults are analyzed.A discrete structural neoclassical model is used to explain desired hours.Desired hours depend on gross wage rates, tax and benefit rules, other income, and some background variables.The model takes account of fixed costs of working

  10. Modeling of unusual nonlinear behaviors in superconducting microstrip transmission lines

    Energy Technology Data Exchange (ETDEWEB)

    Javadzadeh, S. Mohammad Hassan, E-mail: smh_javadzadeh@ee.sharif.edu [School of Electrical Engineering, Sharif University of Technology, P.O. Box 11365-9363, Tehran (Iran, Islamic Republic of); Farzaneh, Forouhar; Fardmanesh, Mehdi [School of Electrical Engineering, Sharif University of Technology, P.O. Box 11365-9363, Tehran (Iran, Islamic Republic of)

    2013-03-15

    Highlights: ► Avoiding of considering just quadratic or modulus nonlinearity. ► Proposing a nonlinear model to predict unusual nonlinear behaviors at low temperatures. ► Description of temperature dependency of nonlinear behaviors in superconducting lines. ► Analytical formulation for each parameter in our proposed model. ► Obtaining very good results which shows this model can predict unusual nonlinear behavior. -- Abstract: There are unusual nonlinear behaviors in superconducting materials, especially at low temperatures. This paper describes the procedure to reliably predict this nonlinearity in superconducting microstrip transmission lines (SMTLs). An accurate nonlinear distributed circuit model, based on simultaneously considering of both quadratic and modulus nonlinearity dependences, is proposed. All parameters of the equivalent circuit can be calculated analytically using proposed closed-form expressions. A numerical method based on Harmonic Balance approach is used to predict nonlinear phenomena like intermodulation distortions and third harmonic generations. Nonlinear analyses of the SMTLs at the different temperatures and the input powers have been presented. This proposed model can describe the unusual behaviors of the nonlinearity at low temperatures, which are frequently observed in the SMTLs.

  11. An analytic model with critical behavior in black hole formation

    CERN Document Server

    Koike, T; Koike, Tatsuhiko; Mishima, Takashi

    1995-01-01

    A simple analytic model is presented which exhibits a critical behavior in black hole formation, namely, collapse of a thin shell coupled with outgoing null fluid. It is seen that the critical behavior is caused by the gravitational nonlinearity near the event horizon. We calculate the value of the critical exponent analytically and find that it is very dependent on the coupling constants of the system.

  12. Animal Models of Suicide Trait-Related Behaviors

    OpenAIRE

    Malkesman, Oz; Pine, Daniel; Tragon, Tyson; Austin, Daniel R.; Henter, Ioline D.; Chen, Guang; Manji, Husseini K.

    2009-01-01

    Although antidepressants are at least moderately effective in treating major depressive disorder (MDD), concerns have arisen that selective serotonin reuptake inhibitors (SSRIs) are associated with suicidal thinking and behavior, especially in children, adolescents, and young adults. Virtually no experimental research in model systems has considered the mechanisms by which SSRIs may be associated with this potential side effect in some susceptible individuals. Suicide is a complex behavior th...

  13. Modeling Candle Flame Behavior In Variable Gravity

    Science.gov (United States)

    Alsairafi, A.; Tien, J. S.; Lee, S. T.; Dietrich, D. L.; Ross, H. D.

    2003-01-01

    The burning of a candle, as typical non-propagating diffusion flame, has been used by a number of researchers to study the effects of electric fields on flame, spontaneous flame oscillation and flickering phenomena, and flame extinction. In normal gravity, the heat released from combustion creates buoyant convection that draws oxygen into the flame. The strength of the buoyant flow depends on the gravitational level and it is expected that the flame shape, size and candle burning rate will vary with gravity. Experimentally, there exist studies of candle burning in enhanced gravity (i.e. higher than normal earth gravity, g(sub e)), and in microgravity in drop towers and space-based facilities. There are, however, no reported experimental data on candle burning in partial gravity (g model of the candle flame, buoyant forces were neglected. The treatment of momentum equation was simplified using a potential flow approximation. Although the predicted flame characteristics agreed well with the experimental results, the model cannot be extended to cases with buoyant flows. In addition, because of the use of potential flow, no-slip boundary condition is not satisfied on the wick surface. So there is some uncertainty on the accuracy of the predicted flow field. In the present modeling effort, the full Navier-Stokes momentum equations with body force term is included. This enables us to study the effect of gravity on candle flames (with zero gravity as the limiting case). In addition, we consider radiation effects in more detail by solving the radiation transfer equation. In the previous study, flame radiation is treated as a simple loss term in the energy equation. Emphasis of the present model is on the gas-phase processes. Therefore, the detailed heat and mass transfer phenomena inside the porous wick are not treated. Instead, it is assumed that a thin layer of liquid fuel coated the entire wick surface during the burning process. This is the limiting case that the mass

  14. Investigating the influence of social desirability on personality factor structure.

    Science.gov (United States)

    Ellingson, J E; Smith, D B; Sackett, P R

    2001-02-01

    This study provides a comprehensive investigation into whether social desirability alters the factor structure of personality measures. The study brought together 4 large data sets wherein different organizational samples responded to different personality measures. This facilitated conducting 4 separate yet parallel investigations. Within each data set, individuals identified through a social desirability scale as responding in an honest manner were grouped together, and individuals identified as responding in a highly socially desirable manner were grouped together. Using various analyses, the fit of higher order factor structure models was compared across the 2 groups. Results were the same for each data set. Social desirability had little influence on the higher order factor structures that characterized the relationships among the scales of the personality measures.

  15. The Balanced Inventory of Desirable Responding Short Form (BIDR-16

    Directory of Open Access Journals (Sweden)

    Claire M. Hart

    2015-12-01

    Full Text Available Self-report studies often call for assessment of socially desirable responding. Many researchers use the Marlowe–Crowne Scale for its brief versions; however, this scale is outdated, and contemporary models of social desirability emphasize its multi-dimensional nature. The 40-item Balanced Inventory of Desirable Responding (BIDR incorporates Self-Deceptive Enhancement (honest but overly positive responding and Impression Management (bias toward pleasing others. However, its length limits its practicality. This article introduces the BIDR-16. In four studies, we shorten the BIDR from 40 items to 16 items, while retaining its two-factor structure, reliability, and validity. This short form will be invaluable to researchers wanting to assess social desirability when time is limited.

  16. Modeling emergent border-crossing behaviors during pandemics

    Science.gov (United States)

    Santos, Eunice E.; Santos, Eugene; Korah, John; Thompson, Jeremy E.; Gu, Qi; Kim, Keum Joo; Li, Deqing; Russell, Jacob; Subramanian, Suresh; Zhang, Yuxi; Zhao, Yan

    2013-06-01

    Modeling real-world scenarios is a challenge for traditional social science researchers, as it is often hard to capture the intricacies and dynamisms of real-world situations without making simplistic assumptions. This imposes severe limitations on the capabilities of such models and frameworks. Complex population dynamics during natural disasters such as pandemics is an area where computational social science can provide useful insights and explanations. In this paper, we employ a novel intent-driven modeling paradigm for such real-world scenarios by causally mapping beliefs, goals, and actions of individuals and groups to overall behavior using a probabilistic representation called Bayesian Knowledge Bases (BKBs). To validate our framework we examine emergent behavior occurring near a national border during pandemics, specifically the 2009 H1N1 pandemic in Mexico. The novelty of the work in this paper lies in representing the dynamism at multiple scales by including both coarse-grained (events at the national level) and finegrained (events at two separate border locations) information. This is especially useful for analysts in disaster management and first responder organizations who need to be able to understand both macro-level behavior and changes in the immediate vicinity, to help with planning, prevention, and mitigation. We demonstrate the capabilities of our framework in uncovering previously hidden connections and explanations by comparing independent models of the border locations with their fused model to identify emergent behaviors not found in either independent location models nor in a simple linear combination of those models.

  17. Bayesian network model of crowd emotion and negative behavior

    Science.gov (United States)

    Ramli, Nurulhuda; Ghani, Noraida Abdul; Hatta, Zulkarnain Ahmad; Hashim, Intan Hashimah Mohd; Sulong, Jasni; Mahudin, Nor Diana Mohd; Rahman, Shukran Abd; Saad, Zarina Mat

    2014-12-01

    The effects of overcrowding have become a major concern for event organizers. One aspect of this concern has been the idea that overcrowding can enhance the occurrence of serious incidents during events. As one of the largest Muslim religious gathering attended by pilgrims from all over the world, Hajj has become extremely overcrowded with many incidents being reported. The purpose of this study is to analyze the nature of human emotion and negative behavior resulting from overcrowding during Hajj events from data gathered in Malaysian Hajj Experience Survey in 2013. The sample comprised of 147 Malaysian pilgrims (70 males and 77 females). Utilizing a probabilistic model called Bayesian network, this paper models the dependence structure between different emotions and negative behaviors of pilgrims in the crowd. The model included the following variables of emotion: negative, negative comfortable, positive, positive comfortable and positive spiritual and variables of negative behaviors; aggressive and hazardous acts. The study demonstrated that emotions of negative, negative comfortable, positive spiritual and positive emotion have a direct influence on aggressive behavior whereas emotion of negative comfortable, positive spiritual and positive have a direct influence on hazardous acts behavior. The sensitivity analysis showed that a low level of negative and negative comfortable emotions leads to a lower level of aggressive and hazardous behavior. Findings of the study can be further improved to identify the exact cause and risk factors of crowd-related incidents in preventing crowd disasters during the mass gathering events.

  18. Dynamical movement primitives: learning attractor models for motor behaviors.

    Science.gov (United States)

    Ijspeert, Auke Jan; Nakanishi, Jun; Hoffmann, Heiko; Pastor, Peter; Schaal, Stefan

    2013-02-01

    Nonlinear dynamical systems have been used in many disciplines to model complex behaviors, including biological motor control, robotics, perception, economics, traffic prediction, and neuroscience. While often the unexpected emergent behavior of nonlinear systems is the focus of investigations, it is of equal importance to create goal-directed behavior (e.g., stable locomotion from a system of coupled oscillators under perceptual guidance). Modeling goal-directed behavior with nonlinear systems is, however, rather difficult due to the parameter sensitivity of these systems, their complex phase transitions in response to subtle parameter changes, and the difficulty of analyzing and predicting their long-term behavior; intuition and time-consuming parameter tuning play a major role. This letter presents and reviews dynamical movement primitives, a line of research for modeling attractor behaviors of autonomous nonlinear dynamical systems with the help of statistical learning techniques. The essence of our approach is to start with a simple dynamical system, such as a set of linear differential equations, and transform those into a weakly nonlinear system with prescribed attractor dynamics by means of a learnable autonomous forcing term. Both point attractors and limit cycle attractors of almost arbitrary complexity can be generated. We explain the design principle of our approach and evaluate its properties in several example applications in motor control and robotics.

  19. Transition from 'model-based' to 'model-free' behavioral control in addiction: Involvement of the orbitofrontal cortex and dorsolateral striatum.

    Science.gov (United States)

    Lucantonio, Federica; Caprioli, Daniele; Schoenbaum, Geoffrey

    2014-01-01

    Cocaine addiction is a complex and multidimensional process involving a number of behavioral and neural forms of plasticity. The behavioral transition from voluntary drug use to compulsive drug taking may be explained at the neural level by drug-induced changes in function or interaction between a flexible planning system, associated with prefrontal cortical regions, and a rigid habit system, associated with the striatum. The dichotomy between these two systems is operationalized in computational theory by positing model-based and model-free learning mechanisms, the former relying on an "internal model" of the environment and the latter on pre-computed or cached values to control behavior. In this review, we will suggest that model-free and model-based learning mechanisms appear to be differentially affected, at least in the case of psychostimulants such as cocaine, with the former being enhanced while the latter are disrupted. As a result, the behavior of long-term drug users becomes less flexible and responsive to the desirability of expected outcomes and more habitual, based on the long history of reinforcement. To support our specific proposal, we will review recent neural and behavioral evidence on the effect of psychostimulant exposure on orbitofrontal and dorsolateral striatum structure and function. This article is part of a Special Issue entitled 'NIDA 40th Anniversary Issue'.

  20. Critical-like behavior in a lattice gas model

    CERN Document Server

    Wieloch, A; Lukasik, J; Pawlowski, P; Pietrzak, T; Trautmann, W

    2010-01-01

    ALADIN multifragmentation data show features characteristic of a critical behavior, which are very well reproduced by a bond percolation model. This suggests, in the context of the lattice gas model, that fragments are formed at nearly normal nuclear densities and temperatures corresponding to the Kertesz line. Calculations performed with a lattice gas model have shown that similarly good reproduction of the data can also be achieved at lower densities, particularly in the liquid-gas coexistence region.

  1. A model of behavioral treatments for self-mutilation behavior in Lesch-Nyhan syndrome

    Science.gov (United States)

    Zilli, Eric A.; Hasselmo, Michael E.

    2008-01-01

    Lesch-Nyhan syndrome is a rare genetic disorder, caused by a mutation in the gene coding for the enzyme hypoxanthine-guanine phosphoribosyltransferase (HPRT), which is characterized by hyperuricemia and its associated symptoms along with motor disorders and compulsive self-mutilation. We show that the temporal difference learning algorithm that has been often used to interpret dopaminergic activity in the basal ganglia offers an explanation for the self-mutilation behaviors. We propose that a dysfunctional dopamine signal inadvertently reinforces early, accidental injurious behavior that is initially caused by clumsiness due to the motor disorders. Simulations of this model reproduce findings on the results of behavioral treatments for dealing with self-mutilation behaviors. PMID:18287946

  2. Modeling Off-Nominal Behavior in SysML

    Science.gov (United States)

    Day, John C.; Donahue, Kenneth; Ingham, Michel; Kadesch, Alex; Kennedy, Andrew K.; Post, Ethan

    2012-01-01

    Specification and development of fault management functionality in systems is performed in an ad hoc way - more of an art than a science. Improvements to system reliability, availability, safety and resilience will be limited without infusion of additional formality into the practice of fault management. Key to the formalization of fault management is a precise representation of off-nominal behavior. Using the upcoming Soil Moisture Active-Passive (SMAP) mission for source material, we have modeled the off-nominal behavior of the SMAP system during its initial spin-up activity, using the System Modeling Language (SysML). In the course of developing these models, we have developed generic patterns for capturing off-nominal behavior in SysML. We show how these patterns provide useful ways of reasoning about the system (e.g., checking for completeness and effectiveness) and allow the automatic generation of typical artifacts (e.g., success trees and FMECAs) used in system analyses.

  3. A Social Desirability Questionnaire for Young Children

    Science.gov (United States)

    Ford, LeRoy H., Jr.; Rubin, Barry M.

    1970-01-01

    A Young Children's Social Desirability Scale based on the MMPI was constructed and administered to nursery school children. Results showed that social desirability scores increased with age, showed a low positive relationship to picture vocabularly IQ, and were unrelated to sex in a high socieconomic sample. (KJ)

  4. The PeerBehavior Model based on Continuous Behavioral Observation P2P Network Neighbors

    Directory of Open Access Journals (Sweden)

    Xianwen Wu

    2014-01-01

    Full Text Available Honor-based trust mechanism is an important means to evaluate the behavior of the P2P network node, and it is used to ensure the health of the P2P network application. Trust mechanisms need to evaluate a node to other node local trust value and local trust value because they do not consider the policy node and human evaluation error of two important factors. The calculation is difficult to accurately reflect the characteristics of the nodes of the network. Evaluation models of the behavior of a P2P network neighbor. The PeerBehavior model has used a deterministic finite state machine (DFA depicts the continuous behavior of the neighbor state changes cause a negative evaluation of any continuous behavior by focusing neighbors almost died, both able to more accurately discover policies node in the network, but also be able to tolerate a certain degree of human evaluation error simulation experiment showed that this model was significantly improve the accuracy of the local trust value, and reducing the estimation error of the global trust value, was significantly superior to the calculation method of the current value of the other local trust

  5. Object of desire self-consciousness theory.

    Science.gov (United States)

    Bogaert, Anthony F; Brotto, Lori A

    2014-01-01

    In this article, the authors discuss the construct of object of desire self-consciousness, the perception that one is romantically and sexually desirable in another's eyes. The authors discuss the nature of the construct, variations in its expression, and how it may function as part of a self-schemata or script related to romance and sexuality. The authors suggest that object of desire self-consciousness may be an adaptive, evolved psychological mechanism allowing sexual and romantic tactics suitable to one's mate value. The authors also suggest that it can act as a signal that one has high mate value in the sexual marketplace. The authors then review literature (e.g., on fantasies, on sexual activity preferences, on sexual dysfunctions, on language) suggesting that object of desire self-consciousness plays a particularly important role in heterosexual women's sexual/romantic functioning and desires.

  6. SHEARING AND WATER RETENTION BEHAVIOR OF UNSATURATED LOAM WITH MODELING

    Science.gov (United States)

    Kiyohara, Yukoh; Kazama, Motoki

    Unsaturated triaxial tests were carried out to study deformation behavior, effective stress path and water retention property of consolidated loam during consolidation and shearing processes. Initial matric suction was set as 0, 50, and 90 kPa, and confining pressures (net normal stresses) were set as 100 kPa. Then shearing processes were done under undrained and drained conditions. We clarified the relation between void ratio and Van Genuchten model parameter by using water retention curve. To predict the unsaturated shearing behavior, a modified Cam Clay model considering void ratio dependent Van Genuchten parameter was proposed. Those numerical test results were agreed well with laboratory tests results.

  7. Sensitivity analysis of the fission gas behavior model in BISON.

    Energy Technology Data Exchange (ETDEWEB)

    Swiler, Laura Painton; Pastore, Giovanni; Perez, Danielle; Williamson, Richard

    2013-05-01

    This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.

  8. Detection of Unusual Human Activities Based on Behavior Modeling

    OpenAIRE

    Hiraishi, Kunihiko; Kobayashi, Koichi

    2014-01-01

    A type of services that require human physical actions and intelligent decision making exists in various real fields, such as nursing in hospitals and caregiving in nursing homes. In this paper, we propose new formalism for modeling human behavior in such services. Behavior models are estimated from event-logs, and can be used for analysis of human activities. We show two analysis methods: one is to detect unusual human activities that appear in event-logs, and the other is to find staffs tha...

  9. Detailed behavioral modeling of bang-bang phase detectors

    DEFF Research Database (Denmark)

    Jiang, Chenhui; Andreani, Pietro; Keil, U. D.

    2006-01-01

    In this paper, the metastability of current-mode logic (CML) latches and flip-flops is studied in detail. Based on the results of this analysis, a behavioral model of bang-bang phase detectors (BBPDs) is proposed, which is able to reliably capture the critical deadzone effect. The impact of jitter...... and of process, voltage and temperature variations on the BBPD behavior is also investigated. The proposed model can be used with advantage in the high-level design and verification of e.g. clock and data recovery (CDR) circuits...

  10. Cognitive-Behavioral Grief Therapy: The ABC Model of Rational-Emotion Behavior Therapy

    Directory of Open Access Journals (Sweden)

    Ruth Malkinson

    2010-12-01

    Full Text Available The article briefly reviews the changes that occurred in the field of grief and bereavement, viewing it as a process of searching for a "rational" meaning to life without the deceased in line with the concept of continuing bonds and thus replacing that of Fred’s concept of decathexis. Cognitive-behavioral therapy (CBT evidenced-based studies for PTSD and complicated grief and the Cognitive-behavioral therapy − Rational-emotion behavior therapy (CBT-REBT model for grief are reviewed. The focus of intervention based on CBT-REBT is to facilitate a healthy adaptation to loss following death. A distinction is made between rational (adaptive and irrational (maladaptive grief processes. Case example illustrating the application of the model specifically a dialogue with repetitive thoughts, are presented.

  11. Cellular Potts modeling of complex multicellular behaviors in tissue morphogenesis.

    Science.gov (United States)

    Hirashima, Tsuyoshi; Rens, Elisabeth G; Merks, Roeland M H

    2017-06-01

    Mathematical modeling is an essential approach for the understanding of complex multicellular behaviors in tissue morphogenesis. Here, we review the cellular Potts model (CPM; also known as the Glazier-Graner-Hogeweg model), an effective computational modeling framework. We discuss its usability for modeling complex developmental phenomena by examining four fundamental examples of tissue morphogenesis: (i) cell sorting, (ii) cyst formation, (iii) tube morphogenesis in kidney development, and (iv) blood vessel formation. The review provides an introduction for biologists for starting simulation analysis using the CPM framework. © 2017 Japanese Society of Developmental Biologists.

  12. The effect of parental modeling of anxious behaviors and cognitions in school-aged children: an experimental pilot study.

    Science.gov (United States)

    Burstein, Marcy; Ginsburg, Golda S

    2010-06-01

    The current study tested: (1) the impact of parental modeling of anxious behaviors and cognitions on child anxiety level, anxious cognitions, desired avoidance, and objective performance using an experimental paradigm; and (2) whether the impact of parental modeling of anxious behaviors and cognitions differed by parent gender. Twenty-five parents (a random selection of 12 male and 13 female parents) participated with one of their children (ages 8-12 years; 56.0% male; 76.0% Caucasian). All children experienced two test conditions: an anxious condition in which their parent was trained to act anxiously before a planned spelling test and a non-anxious condition in which their parent was trained to act in a relaxed and confident manner before a planned spelling test. Results showed that, regardless of parent gender, children endorsed higher anxiety levels, anxious cognitions, and desired avoidance of the spelling test in the anxious relative to the non-anxious condition. Parental modeling of anxiety did not affect child spelling performance. Significant interaction effects indicated that fathers had a stronger impact on child anxiety level and cognitions than did mothers. Results highlight the importance of parental modeling and the potential role of both mothers and fathers in prevention and treatment for child anxiety. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

  13. Joint modeling of longitudinal data in multiple behavioral change.

    Science.gov (United States)

    Charnigo, Richard; Kryscio, Richard; Bardo, Michael T; Lynam, Donald; Zimmerman, Rick S

    2011-06-01

    Multiple behavioral change is an exciting and evolving research area, albeit one that presents analytic challenges to investigators. This manuscript considers the problem of modeling jointly trajectories for two or more possibly non-normally distributed dependent variables, such as marijuana smoking and risky sexual activity, collected longitudinally. Of particular scientific interest is applying such modeling to elucidate the nature of the interaction, if any, between an intervention and personal characteristics, such as sensation seeking and impulsivity. The authors describe three analytic approaches: generalized linear mixed modeling, group-based trajectory modeling, and latent growth curve modeling. In particular, the authors identify identify the strengths and weaknesses of these analytic approaches and assess their impact (or lack thereof) on the psychological and behavioral science literature. The authors also compare what investigators have been doing analytically versus what they might want to be doing in the future and discuss the implications for basic and translational research.

  14. An Occupant Behavior Model for Building Energy Efficiency and Safety

    Science.gov (United States)

    Pan, L. L.; Chen, T.; Jia, Q. S.; Yuan, R. X.; Wang, H. T.; Ding, R.

    2010-05-01

    An occupant behavior model is suggested to improve building energy efficiency and safety. This paper provides a generic outline of the model, which includes occupancy behavior abstraction, model framework and primary structure, input and output, computer simulation results as well as summary and outlook. Using information technology, now it's possible to collect large amount of information of occupancy. Yet this can only provide partial and historical information, so it's important to develop a model to have full view of the researched building as well as prediction. We used the infrared monitoring system which is set at the front door of the Low Energy Demo Building (LEDB) at Tsinghua University in China, to provide the time variation of the total number of occupants in the LEDB building. This information is used as input data for the model. While the RFID system is set on the 1st floor, which provides the time variation of the occupants' localization in each region. The collected data are used to validate the model. The simulation results show that this presented model provides a feasible framework to simulate occupants' behavior and predict the time variation of the number of occupants in the building. Further development and application of the model is also discussed.

  15. Consider impact of speed on desired distance car-following model%考虑速度对期望间距影响的车辆跟驰模型研究

    Institute of Scientific and Technical Information of China (English)

    邱小平; 孙若晓; 杨达; 于丹

    2015-01-01

    为了真实地反映驾驶员在道路行驶中的车辆跟驰机理,使用相关性分析方法找出影响期望间距的关键因素,从而提出改进的基于期望间距的车辆跟驰模型(improved desired distance model,IDDM).利用NGSIM数据对IDDM和经典的Gipps车辆跟驰模型的参数进行了标定,之后对标定的模型进行评价.研究结果表明,前后两车的速度以及相对速度主要影响跟驰过程中驾驶员采用的期望间距;IDDM与传统Gipps模型相比,其加速度、速度与位置的仿真精度分别提高了0.24 m/s2、0.72 m/s、0.53 m,可以为车辆跟驰行为分析提供参考.

  16. Spatio-Temporal Behavior Analysis and Pheromone-Based Fusion Model for Big Trace Data

    National Research Council Canada - National Science Library

    Luliang Tang; Qianqian Zou; Xia Zhang; Chang Ren; Qingquan Li

    2017-01-01

    ..., and overlooking the influence of previous activities on future behaviors. We propose a Pheromone-based Fusion Model, viewing human behaviors as similar to insect foraging behaviors to model spatio-temporal recreational activity patterns, on and offline...

  17. Behavioral Modeling Based on Probabilistic Finite Automata: An Empirical Study.

    Science.gov (United States)

    Tîrnăucă, Cristina; Montaña, José L; Ontañón, Santiago; González, Avelino J; Pardo, Luis M

    2016-06-24

    Imagine an agent that performs tasks according to different strategies. The goal of Behavioral Recognition (BR) is to identify which of the available strategies is the one being used by the agent, by simply observing the agent's actions and the environmental conditions during a certain period of time. The goal of Behavioral Cloning (BC) is more ambitious. In this last case, the learner must be able to build a model of the behavior of the agent. In both settings, the only assumption is that the learner has access to a training set that contains instances of observed behavioral traces for each available strategy. This paper studies a machine learning approach based on Probabilistic Finite Automata (PFAs), capable of achieving both the recognition and cloning tasks. We evaluate the performance of PFAs in the context of a simulated learning environment (in this case, a virtual Roomba vacuum cleaner robot), and compare it with a collection of other machine learning approaches.

  18. A characterization of oil price behavior. Evidence from jump models

    Energy Technology Data Exchange (ETDEWEB)

    Gronwald, Marc [Munich Univ. (Germany). Ifo Institute - Leibniz Institute for Economic Research

    2011-11-15

    This paper is concerned with the statistical behavior of oil prices in two ways. It, firstly, applies a combined jump GARCH in order to characterize the behavior of daily, weekly as well as monthly oil prices. Secondly, it relates its empirical results to implications of Hotelling-type resource extraction models. The empirical analysis shows that oil prices are characterized by GARCH as well as conditional jump behavior and that a considerable portion of the total variance is triggered by sudden extreme price movements. This finding implies that, first, oil price signals are not reliable and, as a consequence, both finding optimal extraction paths and decisions regarding the transmission to alternative technologies are likely to be compromised. Second, this behavior is in stark contrast to the notion of deterministic trends in the price of oil. (orig.)

  19. Soil Stress-Strain Behavior: Measurement, Modeling and Analysis

    CERN Document Server

    Ling, Hoe I; Leshchinsky, Dov; Koseki, Junichi; A Collection of Papers of the Geotechnical Symposium in Rome

    2007-01-01

    This book is an outgrowth of the proceedings for the Geotechnical Symposium in Roma, which was held on March 16 and 17, 2006 in Rome, Italy. The Symposium was organized to celebrate the 60th birthday of Prof. Tatsuoka as well as honoring his research achievement. The publications are focused on the recent developments in the stress-strain behavior of geomaterials, with an emphasis on laboratory measurements, soil constitutive modeling and behavior of soil structures (such as reinforced soils, piles and slopes). The latest advancement in the field, such as the rate effect and dynamic behavior of both clay and sand, behavior of modified soils and soil mixtures, and soil liquefaction are addressed. A special keynote paper by Prof. Tatsuoka is included with three other keynote papers (presented by Prof. Lo Presti, Prof. Di Benedetto, and Prof. Shibuya).

  20. Social desirability bias in reporting of holiday season healthfulness

    Directory of Open Access Journals (Sweden)

    Nicole J. Olynk Widmar

    2016-12-01

    Full Text Available Respondents participating in survey or interview based research often tend to give answers that put themselves in a favorable light, displaying social desirability bias (SDB. Understanding the susceptibility of individuals to underreport their perceived unhealthy holiday behaviors or over report holiday behaviors they perceive as healthy has important implications for health promotion and health policy surrounding the holiday season. This study examines SDB specific to the reporting of holiday food consumption and health-related behaviors. An online survey of 620 U.S. consumers was utilized to collect data in which SDB was accounted for via indirect questioning. The online survey was conducted by Purdue University from November 17–19, 2014. Up to 64% of respondents displayed SDB for the eight holiday health statements studied. Respondents over the age of 45 and without children more frequently displayed social desirability bias. Respondents who displayed SDB with respect to acceptable health related holiday food consumption behaviors may be more susceptible to social pressures surrounding other consumption decision making. Understanding SDB in health and behavior reporting, in particular for the traditionally challenging, in terms of health outcomes, holiday season is critical for health practitioners as they seek to promote healthy behaviors.

  1. Answering questions about consciousness by modeling perception as covert behavior

    Science.gov (United States)

    Markkula, Gustav

    2015-01-01

    Two main open questions in current consciousness research concern (i) the neural correlates of consciousness (NCC) and (ii) the relationship between neural activity and first-person, subjective experience. Here, possible answers are sketched for both of these, by means of a model-based analysis of what is required for one to admit having a conscious experience. To this end, a model is proposed that allows reasoning, albeit necessarily in a simplistic manner, about all of the so called “easy problems” of consciousness, from discrimination of stimuli to control of behavior and language. First, it is argued that current neuroscientific knowledge supports the view of perception and action selection as two examples of the same basic phenomenon, such that one can meaningfully refer to neuronal activations involved in perception as covert behavior. Building on existing neuroscientific and psychological models, a narrative behavior model is proposed, outlining how the brain selects covert (and sometimes overt) behaviors to construct a complex, multi-level narrative about what it is like to be the individual in question. It is hypothesized that we tend to admit a conscious experience of X if, at the time of judging consciousness, we find ourselves acceptably capable of performing narrative behavior describing X. It is argued that the proposed account reconciles seemingly conflicting empirical results, previously presented as evidence for competing theories of consciousness, and suggests that well-defined, experiment-independent NCCs are unlikely to exist. Finally, an analysis is made of what the modeled narrative behavior machinery is and is not capable of. It is discussed how an organism endowed with such a machinery could, from its first-person perspective, come to adopt notions such as “subjective experience,” and of there being “hard problems,” and “explanatory gaps” to be addressed in order to understand consciousness. PMID:26136704

  2. Answering questions about consciousness by modeling perception as covert behavior.

    Science.gov (United States)

    Markkula, Gustav

    2015-01-01

    Two main open questions in current consciousness research concern (i) the neural correlates of consciousness (NCC) and (ii) the relationship between neural activity and first-person, subjective experience. Here, possible answers are sketched for both of these, by means of a model-based analysis of what is required for one to admit having a conscious experience. To this end, a model is proposed that allows reasoning, albeit necessarily in a simplistic manner, about all of the so called "easy problems" of consciousness, from discrimination of stimuli to control of behavior and language. First, it is argued that current neuroscientific knowledge supports the view of perception and action selection as two examples of the same basic phenomenon, such that one can meaningfully refer to neuronal activations involved in perception as covert behavior. Building on existing neuroscientific and psychological models, a narrative behavior model is proposed, outlining how the brain selects covert (and sometimes overt) behaviors to construct a complex, multi-level narrative about what it is like to be the individual in question. It is hypothesized that we tend to admit a conscious experience of X if, at the time of judging consciousness, we find ourselves acceptably capable of performing narrative behavior describing X. It is argued that the proposed account reconciles seemingly conflicting empirical results, previously presented as evidence for competing theories of consciousness, and suggests that well-defined, experiment-independent NCCs are unlikely to exist. Finally, an analysis is made of what the modeled narrative behavior machinery is and is not capable of. It is discussed how an organism endowed with such a machinery could, from its first-person perspective, come to adopt notions such as "subjective experience," and of there being "hard problems," and "explanatory gaps" to be addressed in order to understand consciousness.

  3. Role model behaviors of nursing faculty members in Thailand.

    Science.gov (United States)

    Klunklin, Areewan; Sawasdisingha, Piyawan; Viseskul, Nongkran; Funashima, Naomi; Kameoka, Tomomi; Nomoto, Yuriko; Nakayama, Toshiko

    2011-03-01

    Being a role model is very important in order for nurse teachers to promote students' competence and confidence. This descriptive study aimed at exploring the role model behavior of nursing faculty members in Thailand. The Self-Evaluation Scale on Role Model Behaviors for Nursing Faculty (Thai version) was used to collect data from 320 nursing faculty members in eight schools of nursing, four university nursing schools, one college under the Ministry of Public Health, one under the Bangkok Metropolitan Administration, and two private schools of nursing. The results revealed that the mean score of the overall items in the role model behaviors of nursing faculty members in Thailand, as perceived by themselves, was at a high level. The scores on each subscale of the role model behaviors also were high and related to respect for students, enthusiastic and high-quality teaching activities, showing the value of nursing practice and the nursing profession, social appropriateness, and ongoing professional development. The results can be used to further develop nurse professionals and to improve the effectiveness of clinical teaching in Thailand.

  4. Numerical investigation for erratic behavior of Kriging surrogate model

    Energy Technology Data Exchange (ETDEWEB)

    Kwon, Hyun Gil; Yi, Seul Gi [KAIST, Daejeon (Korea, Republic of); Choi, Seong Im [Virginia Polytechnic Institute and State University, Blacksburg (United States)

    2014-09-15

    Kriging model is one of popular spatial/temporal interpolation models in engineering field since it could reduce the time resources for the expensive analysis. But generation of the Kriging model is hardly a sinecure because internal semi-variogram structure of the Kriging often reveals numerically unstable or erratic behaviors. In present study, the issues in the maximum likelihood estimation which are the vital-parts of the construction of the Kriging model, is investigated. These issues are divided into two aspects; Issue I is for the erratic response of likelihood function itself, and Issue II is for numerically unstable behaviors in the correlation matrix. For both issues, studies for specific circumstances which might raise the issue, and the reason of that are conducted. Some practical ways further are suggested to cope with them. Furthermore, the issue is studied for practical problem; aerodynamic performance coefficients of two-dimensional airfoil predicted by CFD analysis. Result shows that such erratic behavior of Kriging surrogate model can be effectively resolved by proposed solution. In conclusion, it is expected this paper could be helpful to prevent such an erratic and unstable behavior.

  5. Anyonic behavior of an intermediate-statistics fermion gas model.

    Science.gov (United States)

    Algin, Abdullah; Irk, Dursun; Topcu, Gozde

    2015-06-01

    We study the high-temperature behavior of an intermediate-statistics fermionic gas model whose quantum statistical properties enable us to effectively deduce the details about both the interaction among deformed (quasi)particles and their anyonic behavior. Starting with a deformed fermionic grand partition function, we calculate, in the thermodynamical limit, several thermostatistical functions of the model such as the internal energy and the entropy by means of a formalism of the fermionic q calculus. For high temperatures, a virial expansion of the equation of state for the system is obtained in two and three dimensions and the first five virial coefficients are derived in terms of the model deformation parameter q. From the results obtained by the effect of fermionic deformation, it is found that the model parameter q interpolates completely between bosonlike and fermionic systems via the behaviors of the third and fifth virial coefficients in both two and three spatial dimensions and in addition it characterizes effectively the interaction among quasifermions. Our results reveal that the present deformed (quasi)fermion model could be very efficient and effective in accounting for the nonlinear behaviors in interacting composite particle systems.

  6. How does childbearing affect fertility motivations and desires?

    Science.gov (United States)

    Miller, W B; Pasta, D J

    1995-01-01

    In this study we assume that fertility decisions are made one birth at a time and use longitudinal data collected from 401 married couples over a two-year period to explore how having a child affects two types of fertility motivation and three types of fertility desires. Using a series of five constrained multiple regression analyses, we tested the effects of two childbearing variables on these five types of motivation and desires in the context of a large set of control variables also hypothesized to affect fertility motivation and desires. The results demonstrate that the childbearing variables have a substantial effect in all five regression models. Specific findings indicate that childbearing stimulates greater positive motivation for childbearing and an increase in the number of children desired. Although this situation would appear to create a positive feedback loop in which each child born further increases the motivation and desire for children, the findings also suggest three different mechanisms whereby childbearing causes a counterbalancing regulation of that loop. These mechanisms include a negative motivation mechanism, a satiation mechanism, and a delay mechanism. The effect of these mechanisms on the termination of childbearing is considered in conjunction with a fourth mechanism, the achievement of desired family size.

  7. Public Health and Social Desirability in Kazakhstan: Methodological Considerations

    Directory of Open Access Journals (Sweden)

    Brett J. Craig

    2016-03-01

    Conclusions: Participant reports regarding personal health behaviors and lifestyle did not reflect the national reports regarding lifestyle behaviors. The relationship between powerful others subscale and tobacco smoking indicate that using healthcare providers may open up avenues to lowering tobacco use through patient education; however, social desirability is a notable concern for public health interventions. More importantly, the surveys uncovered future questions for conducting public health research with the general public, including issues of trust in the healthcare system and social desirability bias. Additional factors such as distrust in healthcare and government also may play a role in the public’s participation in social scientific research. The students who conducted the surveys reported a general skepticism from the public ranging from unfamiliarity with survey research to explicit distrust in the intentions and purpose of the research itself.

  8. Model Analysis of Complex Systems Behavior using MADS

    Science.gov (United States)

    Vesselinov, V. V.; O'Malley, D.

    2016-12-01

    Evaluation of robustness (reliability) of model predictions is challenging for models representing complex system behavior. Frequently in science and engineering applications related to complex systems, several alternative physics models may describe the available data equally well and are physically reasonable based on the available conceptual understanding. However, these alternative models could give very different predictions about the future states of the analyzed system. Furthermore, in the case of complex systems, we often must do modeling with an incomplete understanding of the underlying physical processes and model parameters. The analyses of model predictions representing complex system behavior are particularly challenging when we are quantifying uncertainties of rare events in the model prediction space that can have major consequences (also called "black swans"). These types of analyses are also computationally challenging. Here, we demonstrate the application of a general high-performance computational tool for Model Analysis & Decision Support (MADS; http://mads.lanl.gov) which can be applied to perform analyses using any external physics or systems model. The coupling between MADS and the external model can be performed using different methods. MADS is implemented in Julia, a high-level, high-performance dynamic programming language for technical computing (http://mads.lanl.gov/, https://github.com/madsjulia/Mads.jl, http://mads.readthedocs.org). MADS has been applied to perform analyses for environmental-management and water-energy-food nexus problems. To demonstrate MADS capabilities and functionalities, we analyze a series of synthetic problems consistent with actual real-world problems.

  9. DESIRABLE PROPERTIES OF AN IDEAL RISK MEASURE IN PORTFOLIO THEORY

    OpenAIRE

    SVETLOZAR RACHEV; SERGIO ORTOBELLI; STOYAN STOYANOV; Fabozzi, Frank J.; ALMIRA BIGLOVA

    2008-01-01

    This paper examines the properties that a risk measure should satisfy in order to characterize an investor's preferences. In particular, we propose some intuitive and realistic examples that describe several desirable features of an ideal risk measure. This analysis is the first step in understanding how to classify an investor's risk. Risk is an asymmetric, relative, heteroskedastic, multidimensional concept that has to take into account asymptotic behavior of returns, inter-temporal depende...

  10. Log-periodic behavior in a forest-fire model

    Directory of Open Access Journals (Sweden)

    B. D. Malamud

    2005-01-01

    Full Text Available This paper explores log-periodicity in a forest-fire cellular-automata model. At each time step of this model a tree is dropped on a randomly chosen site; if the site is unoccupied, the tree is planted. Then, for a given sparking frequency, matches are dropped on a randomly chosen site; if the site is occupied by a tree, the tree ignites and an 'instantaneous' model fire consumes that tree and all adjacent trees. The resultant frequency-area distribution for the small and medium model fires is a power-law. However, if we consider very small sparking frequencies, the large model fires that span the square grid are dominant, and we find that the peaks in the frequency-area distribution of these large fires satisfy log-periodic scaling to a good approximation. This behavior can be examined using a simple mean-field model, where in time, the density of trees on the grid exponentially approaches unity. This exponential behavior coupled with a periodic or near-periodic sparking frequency also generates a sequence of peaks in the frequency-area distribution of large fires that satisfy log-periodic scaling. We conclude that the forest-fire model might provide a relatively simple explanation for the log-periodic behavior often seen in nature.

  11. Scaling Behavior of an Aggregation-Migration Model

    Institute of Scientific and Technical Information of China (English)

    KE Jian-Hong; LIN Zhen-Quan; ZHUANG You-Yi

    2004-01-01

    We study the kinetic behavior of a two-species aggregation-migration model in which an irreversible aggregation occurs between any two clusters of the same species and a reversible migration occurs simultaneously between two different species. For a simple model with constant aggregation rates and with the migration rates KA(i;j) =K'A (i;j) ∝ijv1 and KB(i; j) = K'B (i; j) ∝ ijv2, we find that the evolution behavior of the system depends crucially on the values of the indexes v1 and v2. The aggregate size distribution of either species obeys a conventional scaling law for most cases. Moreover, we also generalize the two-species system to the multi-species case and analyze its kinetic behavior under the symmetrical conditions.PACS numbers: 82.20.-w, 05.40.-a, 68.43.Jk, 89.75.Da

  12. Modeling of Human Criminal Behavior using Probabilistic Networks

    CERN Document Server

    Pillai, Ramesh Kumar Gopala

    2010-01-01

    Currently, criminals profile (CP) is obtained from investigators or forensic psychologists interpretation, linking crime scene characteristics and an offenders behavior to his or her characteristics and psychological profile. This paper seeks an efficient and systematic discovery of nonobvious and valuable patterns between variables from a large database of solved cases via a probabilistic network (PN) modeling approach. The PN structure can be used to extract behavioral patterns and to gain insight into what factors influence these behaviors. Thus, when a new case is being investigated and the profile variables are unknown because the offender has yet to be identified, the observed crime scene variables are used to infer the unknown variables based on their connections in the structure and the corresponding numerical (probabilistic) weights. The objective is to produce a more systematic and empirical approach to profiling, and to use the resulting PN model as a decision tool.

  13. Desire versus efficacy in smokers' paradoxical reactions to pictorial health warnings for cigarettes.

    Directory of Open Access Journals (Sweden)

    Daniel Romer

    Full Text Available Pictorial health warnings on cigarette packs create aversive emotional reactions to smoking and induce thoughts about quitting; however, contrary to models of health behavior change, they do not appear to alter intentions to quit smoking. We propose and test a novel model of intention to quit an addictive habit such as smoking (the efficacy-desire model that can explain this paradoxical effect. At the core of the model is the prediction that self-efficacy and desire to quit an addictive habit are inversely related. We tested the model in an online experiment that randomly exposed smokers (N = 3297 to a cigarette pack with one of three increasing levels of warning intensity. The results supported the model's prediction that despite the effects of warnings on aversion to smoking, intention to quit smoking is an inverted U-shape function of the smoker's self-efficacy for quitting. In addition, smokers with greater (lesser quit efficacy relative to smoking efficacy increase (decrease intentions to quit. The findings show that previous failures to observe effects of pictorial warning labels on quit intentions can be explained by the contradictory individual differences that warnings produce. Thus, the model explains the paradoxical finding that quit intentions do not change at the population level, even though smokers recognize the implications of warnings. The model suggests that pictorial warnings are effective for smokers with stronger quit-efficacy beliefs and provides guidance for how cigarette warnings and tobacco control strategies can be designed to help smokers quit.

  14. 中韩两国青年女性着装意愿与行为比较%On Comparison of Dressing Desire and Behavior Between the Chinese young women and those of South Korea

    Institute of Scientific and Technical Information of China (English)

    王海燕; Choi Yong Lim; Nam Yunjia

    2014-01-01

    In this paper ,questionnaire survey on the preference and dressing behavior toward garment style ,combination ,garment fit and length was conducted among 20 -25 years old young women from Jiangsu Province in China and Seoul in South Korea as well .The descriptive analysis ,cross tabs ,and mean multiple comparison (Duncan) have been carried out on the collected data by using SPSS 17 .0 pack-age .The results reveal that the preference of Korean young women toward tight-fit wear and garments with large body exposure was higher than that of Chinese young women .It is also very often for young women from both countries to wear loose-fit garments .These findings will provide valuable reference for clothing design and trade to fashion industry of both countries .%以中国江苏省和韩国首尔地区20~25岁青年女性为调查对象,采用问卷调查方式,就中韩两国青年女性对服装造型及不同款式搭配、适体性与长短款变化等款式形态偏爱程度和着装习惯等进行了调查.使用SPSS17.0统计软件,运用描述分析、均值比较、相关分析等统计方法,对中韩两国青年女性着装意愿和着装行为等进行了分析比较.研究结果表明,韩国女性对于紧身凸显体型和身体暴露面积大的服装偏爱度高于中国,中韩两国女性对于宽松型服装的穿着频率都高,这些结论为中韩两国服装行业的产品设计和贸易提供了较有价值的参考信息.

  15. Tax Compliance Models: From Economic to Behavioral Approaches

    Directory of Open Access Journals (Sweden)

    Larissa Margareta BĂTRÂNCEA

    2012-06-01

    Full Text Available The paper reviews the models of tax compliance with an emphasis on economic and behavioral perspectives. Although the standard tax evasion model of Allingham and Sandmo and other similar economic models capture some important aspects of tax compliance (i.e., taxpayers’ response to increases in tax rate, audit probability, penalty rate they do not suffice the need for an accurate prediction of taxpayers’ behavior. The reason is that they do not offer a comprehensive perspective on the sociological and psychological factors which shape compliance (i.e., attitudes, beliefs, norms, perceptions, motivations. Therefore, the researchers have considered examining taxpayers’ inner motivations, beliefs, perceptions, attitudes in order to accurately predict taxpayers’ behavior. As a response to their quest, behavioral models of tax compliance have emerged. Among the sociological and psychological factors which shape tax compliance, the ‘slippery slope’ framework singles out trust in authorities and the perception of the power of authorities. The aim of the paper is to contribute to the understanding of the reasons for which there is a need for a tax compliance model which incorporates both economic and behavioral features and why governments and tax authorities should consider these models when designing fiscal policies.

  16. Improved Generalized Force Model considering the Comfortable Driving Behavior

    Directory of Open Access Journals (Sweden)

    De-Jie Xu

    2015-01-01

    Full Text Available This paper presents an improved generalized force model (IGFM that considers the driver’s comfortable driving behavior. Through theoretical analysis, we propose the calculation methods of comfortable driving distance and velocity. Then the stability condition of the model is obtained by the linear stability analysis. The problems of the unrealistic acceleration of the leading car existing in the previous models were solved. Furthermore, the simulation results show that IGFM can predict correct delay time of car motion and kinematic wave speed at jam density, and it can exactly describe the driver’s behavior under an urgent case, where no collision occurs. The dynamic properties of IGFM also indicate that stability has improved compared to the generalized force model.

  17. Sensitivity analysis techniques for models of human behavior.

    Energy Technology Data Exchange (ETDEWEB)

    Bier, Asmeret Brooke

    2010-09-01

    Human and social modeling has emerged as an important research area at Sandia National Laboratories due to its potential to improve national defense-related decision-making in the presence of uncertainty. To learn about which sensitivity analysis techniques are most suitable for models of human behavior, different promising methods were applied to an example model, tested, and compared. The example model simulates cognitive, behavioral, and social processes and interactions, and involves substantial nonlinearity, uncertainty, and variability. Results showed that some sensitivity analysis methods create similar results, and can thus be considered redundant. However, other methods, such as global methods that consider interactions between inputs, can generate insight not gained from traditional methods.

  18. Modeling Temporal Behavior in Large Networks: A Dynamic Mixed-Membership Model

    Energy Technology Data Exchange (ETDEWEB)

    Rossi, R; Gallagher, B; Neville, J; Henderson, K

    2011-11-11

    Given a large time-evolving network, how can we model and characterize the temporal behaviors of individual nodes (and network states)? How can we model the behavioral transition patterns of nodes? We propose a temporal behavior model that captures the 'roles' of nodes in the graph and how they evolve over time. The proposed dynamic behavioral mixed-membership model (DBMM) is scalable, fully automatic (no user-defined parameters), non-parametric/data-driven (no specific functional form or parameterization), interpretable (identifies explainable patterns), and flexible (applicable to dynamic and streaming networks). Moreover, the interpretable behavioral roles are generalizable, computationally efficient, and natively supports attributes. We applied our model for (a) identifying patterns and trends of nodes and network states based on the temporal behavior, (b) predicting future structural changes, and (c) detecting unusual temporal behavior transitions. We use eight large real-world datasets from different time-evolving settings (dynamic and streaming). In particular, we model the evolving mixed-memberships and the corresponding behavioral transitions of Twitter, Facebook, IP-Traces, Email (University), Internet AS, Enron, Reality, and IMDB. The experiments demonstrate the scalability, flexibility, and effectiveness of our model for identifying interesting patterns, detecting unusual structural transitions, and predicting the future structural changes of the network and individual nodes.

  19. Teaching Behavioral Modeling and Simulation Techniques for Power Electronics Courses

    Science.gov (United States)

    Abramovitz, A.

    2011-01-01

    This paper suggests a pedagogical approach to teaching the subject of behavioral modeling of switch-mode power electronics systems through simulation by general-purpose electronic circuit simulators. The methodology is oriented toward electrical engineering (EE) students at the undergraduate level, enrolled in courses such as "Power Electronics,"…

  20. Teaching Behavioral Modeling and Simulation Techniques for Power Electronics Courses

    Science.gov (United States)

    Abramovitz, A.

    2011-01-01

    This paper suggests a pedagogical approach to teaching the subject of behavioral modeling of switch-mode power electronics systems through simulation by general-purpose electronic circuit simulators. The methodology is oriented toward electrical engineering (EE) students at the undergraduate level, enrolled in courses such as "Power…

  1. Modelling the behavior of systems : Basic concepts and algorithms

    NARCIS (Netherlands)

    Cotroneo, T; Willems, JC; Powell, MJD; Scholtes, S

    2000-01-01

    In this paper we introduce the behavioral approach as a mathematical language for describing dynamical systems, in particular systems modeled by high order constant coefficient linear differential equations. We investigate what data have to be added in order to express the influence of the environme

  2. Reproductive Behavior and Personality Traits of the Five Factor Model

    NARCIS (Netherlands)

    Jokela, Markus; Alvergne, Alexandra; Pollet, Thomas V.; Lummaa, Virpi

    2011-01-01

    We examined associations between Five Factor Model personality traits and various outcomes of reproductive behavior in a sample of 15 729 women and men from the Wisconsin Longitudinal Study (WLS) and Midlife Development in the United States (MIDUS) survey. Personality and reproductive history was se

  3. Modelling the behavior of systems : Basic concepts and algorithms

    NARCIS (Netherlands)

    Cotroneo, T; Willems, JC; Powell, MJD; Scholtes, S

    2000-01-01

    In this paper we introduce the behavioral approach as a mathematical language for describing dynamical systems, in particular systems modeled by high order constant coefficient linear differential equations. We investigate what data have to be added in order to express the influence of the

  4. Hysteresis behavior of the anisotropic quantum Heisenberg model

    Energy Technology Data Exchange (ETDEWEB)

    Akıncı, Ümit, E-mail: umit.akinci@deu.edu.tr

    2013-10-15

    The effect of the anisotropy in the exchange interaction on the hysteresis loops within the anisotropic quantum Heisenberg model has been investigated with the effective field theory for two spin cluster. Particular attention has been devoted on the behavior of the hysteresis loop area, coercive field and remanent magnetization with the anisotropy in the exchange interaction for both ferromagnetic and paramagnetic phases.

  5. Information behavior versus communication: application models in multidisciplinary settings

    Directory of Open Access Journals (Sweden)

    Cecília Morena Maria da Silva

    2015-05-01

    Full Text Available This paper deals with the information behavior as support for models of communication design in the areas of Information Science, Library and Music. The communication models proposition is based on models of Tubbs and Moss (2003, Garvey and Griffith (1972, adapted by Hurd (1996 and Wilson (1999. Therefore, the questions arose: (i what are the informational skills required of librarians who act as mediators in scholarly communication process and informational user behavior in the educational environment?; (ii what are the needs of music related researchers and as produce, seek, use and access the scientific knowledge of your area?; and (iii as the contexts involved in scientific collaboration processes influence in the scientific production of information science field in Brazil? The article includes a literature review on the information behavior and its insertion in scientific communication considering the influence of context and/or situation of the objects involved in motivating issues. The hypothesis is that the user information behavior in different contexts and situations influence the definition of a scientific communication model. Finally, it is concluded that the same concept or a set of concepts can be used in different perspectives, reaching up, thus, different results.

  6. On the small-time behavior of stochastic logistic models

    Directory of Open Access Journals (Sweden)

    Dung Tien Nguyen

    2017-09-01

    Full Text Available In this paper we investigate the small-time behaviors of the solution to  a stochastic logistic model. The obtained results allow us to estimate the number of individuals in the population and can be used to study stochastic prey-predator systems.

  7. Modeling Positive Behavior Interventions and Supports for Preservice Teachers

    Science.gov (United States)

    Hill, Doris Adams; Flores, Margaret M.

    2014-01-01

    The authors modeled programwide positive behavior interventions and supports (PBIS) principles to 26 preservice teachers during consolidated yearly extended school year (ESY) services delivered to elementary students from four school districts. While PBIS were in place for preservice teachers to implement with students, a similar system was…

  8. Academic and Behavioral Planning Through an Alternative Model

    Science.gov (United States)

    Dworkin, Nancy E.; Dworkin, Yehoash S.

    1978-01-01

    Suggests an alternative universe in which failure is identified as a systems concern, instead of a human breakdown. The model presents successful behavior in terms of growth in process efficiency, rather than the +/- (right/wrong) matrix associated with achievement orientation. (Editor)

  9. Testing the habituation assumption underlying models of parasitoid foraging behavior

    NARCIS (Netherlands)

    Abram, Paul K.; Cusumano, Antonino; Abram, Katrina; Colazza, Stefano; Peri, Ezio

    2017-01-01

    Background. Habituation, a form of non-associative learning, has several well-defined characteristics that apply to a wide range of physiological and behavioral responses in many organisms. In classic patch time allocation models, habituation is considered to be a major mechanistic component of para

  10. Teaching Behavioral Modeling and Simulation Techniques for Power Electronics Courses

    Science.gov (United States)

    Abramovitz, A.

    2011-01-01

    This paper suggests a pedagogical approach to teaching the subject of behavioral modeling of switch-mode power electronics systems through simulation by general-purpose electronic circuit simulators. The methodology is oriented toward electrical engineering (EE) students at the undergraduate level, enrolled in courses such as "Power…

  11. Behavioral impairments in animal models for zinc deficiency

    Directory of Open Access Journals (Sweden)

    Simone eHagmeyer

    2015-01-01

    Full Text Available Apart from teratogenic and pathological effects of zinc deficiency such as the occurrence of skin lesions, anorexia, growth retardation, depressed wound healing, altered immune function, impaired night vision, and alterations in taste and smell acuity, characteristic behavioral changes in animal models and human patients suffering from zinc deficiency have been observed. Given that it is estimated that about 17% of the worldwide population are at risk for zinc deficiency and that zinc deficiency is associated with a variety of brain disorders and disease states in humans, it is of major interest to investigate, how these behavioral changes will affect the individual and a putative course of a disease. Thus, here, we provide a state of the art overview about the behavioral phenotypes observed in various models of zinc deficiency, among them environmentally produced zinc deficient animals as well as animal models based on a genetic alteration of a particular zinc homeostasis gene. Finally, we compare the behavioral phenotypes to the human condition of mild to severe zinc deficiency and provide a model, how zinc deficiency that is associated with many neurodegenerative and neuropsychological disorders might modify the disease pathologies.

  12. Multislice behavioral modeling based on envelope domain for power amplifiers

    Institute of Scientific and Technical Information of China (English)

    Wang Huadong; Bao Jingfu; Wu Zhengde

    2009-01-01

    An envelope domain multislice behavioral modeling is introduced. The tradition AM-AM and AM-PM characteristics of power amplifiers are extended to envelope domain and base-band filter is applied to distortion complex envelope signal for description of the envelope memory effect. Using traditional one and two-tone tests, the coefficients of nonlinear model and the FIR filter can be extracted. At last the model has been applied to a 10 W WCDMA power amplifier to predict its output signal. And simulation results show that the model output conforms very well to the traditional transistor level simulation results.

  13. Simple models for studying complex spatiotemporal patterns of animal behavior

    Science.gov (United States)

    Tyutyunov, Yuri V.; Titova, Lyudmila I.

    2017-06-01

    Minimal mathematical models able to explain complex patterns of animal behavior are essential parts of simulation systems describing large-scale spatiotemporal dynamics of trophic communities, particularly those with wide-ranging species, such as occur in pelagic environments. We present results obtained with three different modelling approaches: (i) an individual-based model of animal spatial behavior; (ii) a continuous taxis-diffusion-reaction system of partial-difference equations; (iii) a 'hybrid' approach combining the individual-based algorithm of organism movements with explicit description of decay and diffusion of the movement stimuli. Though the models are based on extremely simple rules, they all allow description of spatial movements of animals in a predator-prey system within a closed habitat, reproducing some typical patterns of the pursuit-evasion behavior observed in natural populations. In all three models, at each spatial position the animal movements are determined by local conditions only, so the pattern of collective behavior emerges due to self-organization. The movement velocities of animals are proportional to the density gradients of specific cues emitted by individuals of the antagonistic species (pheromones, exometabolites or mechanical waves of the media, e.g., sound). These cues play a role of taxis stimuli: prey attract predators, while predators repel prey. Depending on the nature and the properties of the movement stimulus we propose using either a simplified individual-based model, a continuous taxis pursuit-evasion system, or a little more detailed 'hybrid' approach that combines simulation of the individual movements with the continuous model describing diffusion and decay of the stimuli in an explicit way. These can be used to improve movement models for many species, including large marine predators.

  14. Modeling behavior dynamics using computational psychometrics within virtual worlds.

    Science.gov (United States)

    Cipresso, Pietro

    2015-01-01

    In case of fire in a building, how will people behave in the crowd? The behavior of each individual affects the behavior of others and, conversely, each one behaves considering the crowd as a whole and the individual others. In this article, I propose a three-step method to explore a brand new way to study behavior dynamics. The first step relies on the creation of specific situations with standard techniques (such as mental imagery, text, video, and audio) and an advanced technique [Virtual Reality (VR)] to manipulate experimental settings. The second step concerns the measurement of behavior in one, two, or many individuals focusing on parameters extractions to provide information about the behavior dynamics. Finally, the third step, which uses the parameters collected and measured in the previous two steps in order to simulate possible scenarios to forecast through computational models, understand, and explain behavior dynamics at the social level. An experimental study was also included to demonstrate the three-step method and a possible scenario.

  15. Testing the habituation assumption underlying models of parasitoid foraging behavior

    Science.gov (United States)

    Abram, Katrina; Colazza, Stefano; Peri, Ezio

    2017-01-01

    Background Habituation, a form of non-associative learning, has several well-defined characteristics that apply to a wide range of physiological and behavioral responses in many organisms. In classic patch time allocation models, habituation is considered to be a major mechanistic component of parasitoid behavioral strategies. However, parasitoid behavioral responses to host cues have not previously been tested for the known, specific characteristics of habituation. Methods In the laboratory, we tested whether the foraging behavior of the egg parasitoid Trissolcus basalis shows specific characteristics of habituation in response to consecutive encounters with patches of host (Nezara viridula) chemical contact cues (footprints), in particular: (i) a training interval-dependent decline in response intensity, and (ii) a training interval-dependent recovery of the response. Results As would be expected of a habituated response, wasps trained at higher frequencies decreased their behavioral response to host footprints more quickly and to a greater degree than those trained at low frequencies, and subsequently showed a more rapid, although partial, recovery of their behavioral response to host footprints. This putative habituation learning could not be blocked by cold anesthesia, ingestion of an ATPase inhibitor, or ingestion of a protein synthesis inhibitor. Discussion Our study provides support for the assumption that diminishing responses of parasitoids to chemical indicators of host presence constitutes habituation as opposed to sensory fatigue, and provides a preliminary basis for exploring the underlying mechanisms. PMID:28321365

  16. Modeling Behavior Dynamics using Computational Psychometrics within Virtual Worlds

    Directory of Open Access Journals (Sweden)

    Pietro eCipresso

    2015-11-01

    Full Text Available In case of fire in a building, how will people behave in the crowd? The behavior of each individual affects the behavior of others and, conversely, each one behaves considering the crowd as a whole and the individual others. In this article, I propose a three-step method to explore a brand new way to study behavior dynamics. The first step relies on the creation of specific situations with standard techniques (such as mental imagery, text, video and audio and an advanced technique (Virtual Reality to manipulate experimental settings. The second step concerns the measurement of behavior in one, two or many individuals focusing on parameters extractions to provide information about the behavior dynamics. Finally, the third step, which uses the parameters collected and measured in the previous two steps in order to simulate possible scenarios to forecast through computational models, understand and explain behavior dynamics at the social level. An experimental study was also included to demonstrate the three-step method and a possible scenario.

  17. Factors Affecting Fertility Desires in the Philippines

    Directory of Open Access Journals (Sweden)

    Clarissa C. David

    2014-12-01

    Full Text Available Factors affecting fertility desires in the Philippines were examined using data from a national survey and from individual and group qualitative interviews involving 143 respondents. Fertility goals usually range from two to three children, but evidence suggests that they are dynamic and may change over a person’s lifetime. Qualitative interviews reveal that when negotiating about family size, it is the partner who wants more children that will be followed. A strong demand for gender balance among offspring creates a willingness to have more children than originally desired. Fertility goals increase over time among women. While those who start childbirth at a very young age successfully space their children, they tend to want larger families than those who start late. Initial fertility goals among women are generally low but may increase because of higher fertility desires among men, a demand for gender balance in children, and the desire for babies once their children have grown.

  18. Robustness of public choice models of voting behavior

    Directory of Open Access Journals (Sweden)

    Mihai UNGUREANU

    2013-05-01

    Full Text Available Modern economics modeling practice involves highly unrealistic assumptions. Since testing such models is not always an easy enterprise, researchers face the problem of determining whether a result is dependent (or not on the unrealistic details of the model. A solution for this problem is conducting robustness analysis. In its classical form, robustness analysis is a non-empirical method of confirmation – it raises our trust in a given result by implying it with from several different models. In this paper I argue that robustness analysis could be thought as a method of post-empirical failure. This form of robustness analysis involves assigning guilt for the empirical failure to a certain part of the model. Starting from this notion of robustness, I analyze a case of empirical failure from public choice theory or the economic approach of politics. Using the fundamental methodological principles of neoclassical economics, the first model of voting behavior implied that almost no one would vote. This was clearly an empirical failure. Public choice scholars faced the problem of either restraining the domain of their discipline or giving up to some of their neoclassical methodological features. The second solution was chosen and several different models of voting behavior were built. I will treat these models as a case for performing robustness analysis and I will determine which assumption from the original model is guilty for the empirical failure.

  19. Hydrologic predictions in a changing environment: behavioral modeling

    Directory of Open Access Journals (Sweden)

    B. Schaefli

    2010-10-01

    Full Text Available Most hydrological models are valid at most only in a few places and cannot be reasonably transferred to other places or to far distant time periods. Transfer in space is difficult because the models are conditioned on past observations at particular places to define parameter values and unobservable processes that are needed to fully characterize the structure and functioning of the landscape. Transfer in time has to deal with the likely temporal changes to both parameters and processes under future changed conditions. This remains an important obstacle to addressing some of the most urgent prediction questions in hydrology, such as prediction in ungauged basins and prediction under global change. In this paper, we propose a new approach to catchment hydrological modeling, based on universal principles that do not change in time and that remain valid across many places. The key to this framework, which we call behavioral modeling, is to assume that these universal and time-invariant organizing principles can be used to identify the most appropriate model structure (including parameter values and responses for a given ecosystem at a given moment in time. The organizing principles may be derived from fundamental physical or biological laws, or from empirical laws that have been demonstrated to be time-invariant and to hold at many places and scales. Much fundamental research remains to be undertaken to help discover these organizing principles on the basis of exploration of observed patterns of landscape structure and hydrological behavior and their interpretation as legacy effects of past co-evolution of climate, soils, topography, vegetation and humans. Our hope is that the new behavioral modeling framework will be a step forward towards a new vision for hydrology where models are capable of more confidently predicting the behavior of catchments beyond what has been observed or experienced before.

  20. HESS Opinions: Hydrologic predictions in a changing environment: behavioral modeling

    Directory of Open Access Journals (Sweden)

    S. J. Schymanski

    2011-02-01

    Full Text Available Most hydrological models are valid at most only in a few places and cannot be reasonably transferred to other places or to far distant time periods. Transfer in space is difficult because the models are conditioned on past observations at particular places to define parameter values and unobservable processes that are needed to fully characterize the structure and functioning of the landscape. Transfer in time has to deal with the likely temporal changes to both parameters and processes under future changed conditions. This remains an important obstacle to addressing some of the most urgent prediction questions in hydrology, such as prediction in ungauged basins and prediction under global change. In this paper, we propose a new approach to catchment hydrological modeling, based on universal principles that do not change in time and that remain valid across many places. The key to this framework, which we call behavioral modeling, is to assume that there are universal and time-invariant organizing principles that can be used to identify the most appropriate model structure (including parameter values and responses for a given ecosystem at a given moment in time. These organizing principles may be derived from fundamental physical or biological laws, or from empirical laws that have been demonstrated to be time-invariant and to hold at many places and scales. Much fundamental research remains to be undertaken to help discover these organizing principles on the basis of exploration of observed patterns of landscape structure and hydrological behavior and their interpretation as legacy effects of past co-evolution of climate, soils, topography, vegetation and humans. Our hope is that the new behavioral modeling framework will be a step forward towards a new vision for hydrology where models are capable of more confidently predicting the behavior of catchments beyond what has been observed or experienced before.

  1. Is the Separating Equilibrium Really Desirable ?

    OpenAIRE

    大倉, 真人

    2002-01-01

    Purpose of this paper is to investigate whether “risk sub-divided insurance” is really desirable or not. Compare to other insurance products, it submits lower insurance premium for low-risk individuals but higher insurance premium for high-risk individuals. Moreover, an adverse selection problem appears because the insurance companies cannot observe each risk type. But the other insurance which does not discriminate the insurance premium is not necessarily desirable because it appears cross s...

  2. Universal free school breakfast: a qualitative model for breakfast behaviors

    Directory of Open Access Journals (Sweden)

    Louise eHarvey-Golding

    2015-06-01

    Full Text Available In recent years the provision of school breakfast has increased significantly in the UK. However, research examining the effectiveness of school breakfast is still within relative stages of infancy, and findings to date have been rather mixed. Moreover, previous evaluations of school breakfast schemes have been predominantly quantitative in their methodologies. Presently there are few qualitative studies examining the subjective perceptions and experiences of stakeholders, and thereby an absence of knowledge regarding the sociocultural impacts of school breakfast. The purpose of this study was to investigate the beliefs, views and attitudes, and breakfast consumption behaviors, among key stakeholders, served by a council-wide universal free school breakfast initiative, within the North West of England, UK. A sample of children, parents and school staff were recruited from three primary schools, participating in the universal free school breakfast scheme, to partake in semi-structured interviews and small focus groups. A Grounded Theory analysis of the data collected identified a theoretical model of breakfast behaviors, underpinned by the subjective perceptions and experiences of these key stakeholders. The model comprises of three domains relating to breakfast behaviors, and the internal and external factors that are perceived to influence breakfast behaviors, among children, parents and school staff. Findings were validated using triangulation methods, member checks and inter-rater reliability measures. In presenting this theoretically grounded model for breakfast behaviors, this paper provides a unique qualitative insight into the breakfast consumption behaviors and barriers to breakfast consumption, within a socioeconomically deprived community, participating in a universal free school breakfast intervention program.

  3. Hybrid multiscale modeling and prediction of cancer cell behavior.

    Science.gov (United States)

    Zangooei, Mohammad Hossein; Habibi, Jafar

    2017-01-01

    Understanding cancer development crossing several spatial-temporal scales is of great practical significance to better understand and treat cancers. It is difficult to tackle this challenge with pure biological means. Moreover, hybrid modeling techniques have been proposed that combine the advantages of the continuum and the discrete methods to model multiscale problems. In light of these problems, we have proposed a new hybrid vascular model to facilitate the multiscale modeling and simulation of cancer development with respect to the agent-based, cellular automata and machine learning methods. The purpose of this simulation is to create a dataset that can be used for prediction of cell phenotypes. By using a proposed Q-learning based on SVR-NSGA-II method, the cells have the capability to predict their phenotypes autonomously that is, to act on its own without external direction in response to situations it encounters. Computational simulations of the model were performed in order to analyze its performance. The most striking feature of our results is that each cell can select its phenotype at each time step according to its condition. We provide evidence that the prediction of cell phenotypes is reliable. Our proposed model, which we term a hybrid multiscale modeling of cancer cell behavior, has the potential to combine the best features of both continuum and discrete models. The in silico results indicate that the 3D model can represent key features of cancer growth, angiogenesis, and its related micro-environment and show that the findings are in good agreement with biological tumor behavior. To the best of our knowledge, this paper is the first hybrid vascular multiscale modeling of cancer cell behavior that has the capability to predict cell phenotypes individually by a self-generated dataset.

  4. Scale invariant behavior in a large N matrix model

    CERN Document Server

    Narayanan, Rajamani

    2016-01-01

    Eigenvalue distributions of properly regularized Wilson loop operators are used to study the transition from ultra-violet (UV) behavior to infra-red (IR) behavior in gauge theories coupled to matter that potentially have an IR fixed point (FP). We numerically demonstrate emergence of scale invariance in a matrix model that describes $SU(N)$ gauge theory coupled to two flavors of massless adjoint fermions in the large $N$ limit. The eigenvalue distribution of Wilson loops of varying sizes cannot be described by a universal lattice beta-function connecting the UV to the IR.

  5. Modeling high temperature materials behavior for structural analysis

    CERN Document Server

    Naumenko, Konstantin

    2016-01-01

    This monograph presents approaches to characterize inelastic behavior of materials and structures at high temperature. Starting from experimental observations, it discusses basic features of inelastic phenomena including creep, plasticity, relaxation, low cycle and thermal fatigue. The authors formulate constitutive equations to describe the inelastic response for the given states of stress and microstructure. They introduce evolution equations to capture hardening, recovery, softening, ageing and damage processes. Principles of continuum mechanics and thermodynamics are presented to provide a framework for the modeling materials behavior with the aim of structural analysis of high-temperature engineering components.

  6. Measuring and modeling behavioral decision dynamics in collective evacuation.

    Directory of Open Access Journals (Sweden)

    Jean M Carlson

    Full Text Available Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies.

  7. Dynamical Behavior and Stability Analysis in a Hybrid Epidemiological-Economic Model with Incubation

    Directory of Open Access Journals (Sweden)

    Chao Liu

    2014-01-01

    Full Text Available A hybrid SIR vector disease model with incubation is established, where susceptible host population satisfies the logistic equation and the recovered host individuals are commercially harvested. It is utilized to discuss the transmission mechanism of infectious disease and dynamical effect of commercial harvest on population dynamics. Positivity and permanence of solutions are analytically investigated. By choosing economic interest of commercial harvesting as a parameter, dynamical behavior and local stability of model system without time delay are studied. It reveals that there is a phenomenon of singularity induced bifurcation as well as local stability switch around interior equilibrium when economic interest increases through zero. State feedback controllers are designed to stabilize model system around the desired interior equilibria in the case of zero economic interest and positive economic interest, respectively. By analyzing corresponding characteristic equation of model system with time delay, local stability analysis around interior equilibrium is discussed due to variation of time delay. Hopf bifurcation occurs at the critical value of time delay and corresponding limit cycle is also observed. Furthermore, directions of Hopf bifurcation and stability of the bifurcating periodic solutions are studied. Numerical simulations are carried out to show consistency with theoretical analysis.

  8. A Model for Cortically Mediated Behaviors: A "New Think" Model for Some Old Thought Processes.

    Science.gov (United States)

    Anderson, James A.

    A model for dealing with ordinary, cortically-mediated behaviors is presented. The model's foundation is the set of motivational systems existing in the mature organism. Construction of the model follows the stimulus-response paradigm as interpreted by recent physiological research. The purpose of the model is that it requires a multivariate…

  9. Applying the Model of Goal-Directed Behavior, Including Descriptive Norms, to Physical Activity Intentions: A Contribution to Improving the Theory of Planned Behavior.

    Science.gov (United States)

    Esposito, Gabriele; van Bavel, René; Baranowski, Tom; Duch-Brown, Néstor

    2016-08-01

    The theory of planned behavior (TPB) has received its fair share of criticism lately, including calls for it to retire. We contribute to improving the theory by testing extensions such as the model of goal-directed behavior (MGDB, which adds desire and anticipated positive and negative emotions) applied to physical activity (PA) intention. We also test the inclusion of a descriptive norms construct as an addition to the subjective norms construct, also applied to PA, resulting in two additional models: TPB including descriptive norms (TPB + DN) and MGDB including descriptive norms (MGDB + DN). The study is based on an online survey of 400 young adult Internet users, previously enrolled in a subject pool. Confirmatory factor analysis (CFA) showed that TPB and TPB + DN were not fit for purpose, while MGDB and MGDB + DN were. Structural equation modelling (SEM) conducted on MGDB and MGDB + DN showed that the inclusion of descriptive norms took over the significance of injunctive norms, and increased the model's account of total variance in intention to be physically active.

  10. Modeling and simulation of dust behaviors behind a moving vehicle

    Science.gov (United States)

    Wang, Jingfang

    Simulation of physically realistic complex dust behaviors is a difficult and attractive problem in computer graphics. A fast, interactive and visually convincing model of dust behaviors behind moving vehicles is very useful in computer simulation, training, education, art, advertising, and entertainment. In my dissertation, an experimental interactive system has been implemented for the simulation of dust behaviors behind moving vehicles. The system includes physically-based models, particle systems, rendering engines and graphical user interface (GUI). I have employed several vehicle models including tanks, cars, and jeeps to test and simulate in different scenarios and conditions. Calm weather, winding condition, vehicle turning left or right, and vehicle simulation controlled by users from the GUI are all included. I have also tested the factors which play against the physical behaviors and graphics appearances of the dust particles through GUI or off-line scripts. The simulations are done on a Silicon Graphics Octane station. The animation of dust behaviors is achieved by physically-based modeling and simulation. The flow around a moving vehicle is modeled using computational fluid dynamics (CFD) techniques. I implement a primitive variable and pressure-correction approach to solve the three dimensional incompressible Navier Stokes equations in a volume covering the moving vehicle. An alternating- direction implicit (ADI) method is used for the solution of the momentum equations, with a successive-over- relaxation (SOR) method for the solution of the Poisson pressure equation. Boundary conditions are defined and simplified according to their dynamic properties. The dust particle dynamics is modeled using particle systems, statistics, and procedure modeling techniques. Graphics and real-time simulation techniques, such as dynamics synchronization, motion blur, blending, and clipping have been employed in the rendering to achieve realistic appearing dust

  11. Mechanical Behavior and Analytical Modeling of Melt-Infiltrated SiC/SiC Woven Composite

    Science.gov (United States)

    Lang, J.; Sankar, J.; Kelkar, A. D.; Bhatt, R. T.; Baaklini, G.; Lua, J.

    1998-01-01

    The desirable properties in ceramic matrix composites (CMCs), such as high temperature strength, corrosion resistance, high toughness, low density, or good creep resistance have led to increased use of CMCs in high-speed engine structural components and structures that operate in extreme temperature and hostile aero-thermo-chemical environments. Ceramic matrix composites have been chosen for turbine material in the design of 21st century civil propulsion systems to achieve high fuel economy, improved reliability, extended life, and reduced cost. Most commercial CMCs are manufactured using a chemical vapor infiltration (CVI) process. However, a lower cost fabrication known as melt-infiltration process is also providing CMCs marked for use in hot sections of high-speed civil transports. Limited samples of a SiC/SiC melt-infiltrated woven composites are being investigated at room and elevated temperature below and above matrix cracking. These samples show graceful failure and toughness at room temperature with a reduction in strength and modulus at elevated temperatures. A generic finite element model is also being developed to predict monotonic and cyclic loading behavior of the woven composite. Use of the initial test data from the woven composite is being used for the development of the analytical model. This model is the first of a iterative process leading towards the development the model's capability to predict behavior at room and elevated temperature for monotonic and cyclic loading. The purpose of this paper is to report on the material and mechanical findings of the SiC/SiC melt-infiltrated woven composite and progress on the development of the finite element model.

  12. A transport model for prediction of wildfire behavior

    Energy Technology Data Exchange (ETDEWEB)

    Linn, R.R.

    1997-07-01

    Wildfires are a threat to human life and property, yet they are an unavoidable part of nature. In the past people have tried to predict wildfire behavior through the use of point functional models but have been unsuccessful at adequately predicting the gross behavior of the broad spectrum of fires that occur in nature. The majority of previous models do not have self-determining propagation rates. The author uses a transport approach to represent this complicated problem and produce a model that utilizes a self-determining propagation rate. The transport approach allows one to represent a large number of environments including transition regions such as those with nonhomogeneous vegetation and terrain. Some of the most difficult features to treat are the imperfectly known boundary conditions and the fine scale structure that is unresolvable, such as the specific location of the fuel or the precise incoming winds. The author accounts for the microscopic details of a fire with macroscopic resolution by dividing quantities into mean and fluctuating parts similar to what is done in traditional turbulence modelling. The author develops a complicated model that includes the transport of multiple gas species, such as oxygen and volatile hydrocarbons, and tracks the depletion of various fuels and other stationary solids and liquids. From this model the author also forms a simplified local burning model with which he performs a number of simulations for the purpose of demonstrating the properties of a self-determining transport-based wildfire model.

  13. A cellular automaton evacuation model based on mobile robot's behaviors

    Institute of Scientific and Technical Information of China (English)

    WENG WenGuo; YUAN HongYong; FAN WeiCheng

    2007-01-01

    The research of evacuation in some emergencies, e.g. fire, is of great benefit to reducing the injuries of persons. In this paper, a cellular automaton evacuation model based on mobile robot's behaviors is presented. Each person is treated as an intelligent mobile robot, and motor schemas, including move-to-goal, avoid-obstacle, swirl-obstacle and nervous-motion, drive persons to interact with their environment. The motor schemas are combined with cellular automaton theory, and an evacuation model is built. Evacuation simulation of persons with different move velocities shows that the presented model can predict accurately the evacuation phenomena in some emergencies.

  14. Dynamical behavior of a stochastic SVIR epidemic model with vaccination

    Science.gov (United States)

    Zhang, Xinhong; Jiang, Daqing; Hayat, Tasawar; Ahmad, Bashir

    2017-10-01

    In this paper, we investigate the dynamical behavior of SVIR models in random environments. Firstly, we show that if R0s model will die out exponentially; if R˜0s > 1, the disease will be prevail. Moreover, this system admits a unique stationary distribution and it is ergodic when R˜0s > 1. Results show that environmental white noise is helpful for disease control. Secondly, we give sufficient conditions for the existence of nontrivial periodic solutions to stochastic SVIR model with periodic parameters. Finally, numerical simulations validate the analytical results.

  15. On the hysteresis behaviors of the higher spin Ising model

    Science.gov (United States)

    Akıncı, Ümit

    2017-10-01

    Hysteresis characteristics of the general Spin-S (S > 1) Blume-Capel model have been studied within the effective field approximation. Particular emphasis has been paid on the large negative valued crystal field region and it has been demonstrated for this region that, Spin-S Blume-Capel model has 2 S windowed hysteresis loop in low temperatures. Some interesting results have been obtained such as nested characteristics of the hysteresis loops of successive spin-S Blume-Capel model. Effect of the rising crystal field and temperature on these hysteresis behaviors have been investigated in detail and physical mechanisms have been given.

  16. Hysteretic behavior of prestressed concrete bridge pier with fiber model.

    Science.gov (United States)

    Wang, Hui-li; Feng, Guang-qi; Qin, Si-feng

    2014-01-01

    The hysteretic behavior and seismic characteristics of the prestressed concrete bridge pier were researched. The effects of the prestressed tendon ratio, the longitudinal reinforcement ratio, and the stirrup reinforcement ratio on the hysteretic behavior and seismic characteristics of the prestressed concrete bridge pier have been obtained with the fiber model analysis method. The analysis show some results about the prestressed concrete bridge pier. Firstly, greater prestressed tendon ratio and more longitudinal reinforcement can lead to more obvious pier's hysteresis loop "pinching effect," smaller residual displacement, and lower energy dissipation capacity. Secondly, the greater the stirrup reinforcement ratio is, the greater the hysteresis loop area is. That also means that bridge piers will have better ductility and stronger shear capacity. The results of the research will provide a theoretical basis for the hysteretic behavior analysis of the prestressed concrete pier.

  17. A Behavior-Based Remote Trust Attestation Model

    Institute of Scientific and Technical Information of China (English)

    ZHANG Huanguo; WANG Fan

    2006-01-01

    While remote trust attestation is a useful concept to detect unauthorized changes to software, the current mechanism only ensures authenticity at the start of the operating system and cannot ensure the action of running software. Our approach is to use a behavior-based monitoring agent to make remote attestation more flexible, dynamic, and trustworthy. This approach was mostly made possible by extensive use of process information which is readily available in Unix. We also made use of a behavior tree to effectively record predictable behaviors of each process. In this paper, we primarily focus on building a prototype implementation of such framework, presenting one example built on it, successfully find potential security risks in the run time of a ftp program and then evaluate the performance of this model.

  18. Effects of mixing in threshold models of social behavior

    CERN Document Server

    Akhmetzhanov, Andrei R; Dushoff, Jonathan

    2013-01-01

    We consider the dynamics of an extension of the influential Granovetter model of social behavior, where individuals are affected by their personal preferences and observation of the neighbors' behavior. Individuals are arranged in a network (usually, the square lattice) and each has a state and a fixed threshold for behavior changes. We simulate the system asynchronously either by picking a random individual and either update its state or exchange it with another randomly chosen individual (mixing). We describe the dynamics analytically in the fast-mixing limit by using the mean-field approximation and investigate it mainly numerically in case of a finite mixing. We show that the dynamics converge to a manifold in state space, which determines the possible equilibria, and show how to estimate the projection of manifold by using simulated trajectories, emitted from different initial points. We show that the effects of considering the network can be decomposed into finite-neighborhood effects, and finite-mixing...

  19. Tourist Behavior Pattern Mining Model Based on Context

    Directory of Open Access Journals (Sweden)

    Dong-sheng Liu

    2013-01-01

    Full Text Available Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. At last, we make an experiment to show the feasibility and effectiveness of our method.

  20. Social Desirability as a Predictor of Argumentativeness, Communication Apprehension, and Communication Competence.

    Science.gov (United States)

    Chen, Guo-Ming

    A study investigated the relationships between social desirability (the tendency to seek socially and culturally approved behaviors) and argumentativeness, communication apprehension, and communication competence. Using R. Strahan and K. C. Gerbasi's Social Desirability Scales, from a pool of 259 undergraduate students, 70 students were identified…

  1. Reliability and validation of a behavioral model of clinical behavioral formulation

    Directory of Open Access Journals (Sweden)

    Amanda M Muñoz-Martínez

    2011-05-01

    Full Text Available The aim of this study was to determine the reliability and content and predictive validity of a clinical case formulation, developed from a behavioral perspective. A mixed design integrating levels of descriptive analysis and A-B case study with follow-up was used. The study established the reliability of the following descriptive and explanatory categories: (a problem description, (b predisposing factors, (c precipitating factors, (d acquisition and (e inferred mechanism (maintenance. The analysis was performed on cases from 2005 to 2008 formulated with the model derived from the current study. With regards to validity, expert judges considered that the model had content validity. The predictive validity was established across application of model to three case studies. Discussion shows the importance of extending the investigation with the model in other populations and to establish the clinical and concurrent validity of the model.

  2. Older employees’ desired retirement age: a JD-R perspective

    NARCIS (Netherlands)

    Frins, W.; Ruysseveldt, J. van; Dam, K. van; Bossche, S.N.J. van den

    2016-01-01

    Purpose. Using the job demands-resources (JD-R) model as a theoretical framework, the purpose of this paper is to investigate how job demands and job resources affect older employees’ desired retirement age, through an energy-depletion and a motivational process. Furthermore, the importance of gain

  3. Social and Behavioral Science: Monitoring Social Foraging Behavior in a Biological Model System

    Science.gov (United States)

    2016-10-12

    ADDRESSES 15. SUBJECT TERMS b. ABSTRACT 2. REPORT TYPE 17. LIMITATION OF ABSTRACT 15. NUMBER OF PAGES 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK...Social Foraging Behavior in a Biological Model System" The views, opinions and/or findings contained in this report are those of the author(s) and...reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching

  4. The analyst's desire in the clinic of anorexia

    Directory of Open Access Journals (Sweden)

    Mariana Benatto Pereira da Silva

    2010-06-01

    Full Text Available The present work deals with the issue of the analyst's desire in the psychoanalytical treatment of anorexia. It analyzes important elements to establish transference in these cases, as the pursuit of death and the choice of refusing food as a way of controlling the demands of the Other. It then discusses the "analist's desire" function in this clinic. Rejecting the definition of a treatment model and the structural categorization of anorexia, we can find in the cases of the girl of Angouleme (Charcot and Sidonie (M. Mannoni present possible subjective ways to get out of this psychopathological impasse, by means of this function.

  5. Testing two process models of religiosity and sexual behavior.

    Science.gov (United States)

    Vasilenko, Sara A; Duntzee, Christina I; Zheng, Yao; Lefkowitz, Eva S

    2013-08-01

    Adolescents who are more religious are less likely to have sex, but the process by which religiosity impacts sexual behavior is not well established. We tested two potential processes, involving: (1) whether religiosity suppressed individuals' motivations to have sex for physical pleasure, and (2) whether individuals internalized their religions' teachings about sex for pleasure. College students (N = 610, 53.8% female, M age = 18.5, 26.1% Hispanic Latino [HL], 14.9% non-HL African American, 23.8% non-HL Asian American/Pacific Islander, 26.3% non-HL European American and 8.9% non-HL multiracial) completed web surveys during their first three semesters. Religiosity did not moderate the association between students' motivations for sex for pleasure and sexual behavior. Motivations mediated the association between religiosity and sexual behavior, suggesting that religion does not override adolescents' existing motivations, but instead, religious adolescents internalize norms about sexual behavior. Testing Two Process Models of Religiosity and Sexual Behavior. Copyright © 2013 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  6. Modeling the viscoplastic behavior of Inconel 718 at 1200 F

    Science.gov (United States)

    Abdel-Kader, M. S.; Eftis, J.; Jones, D. L.

    1988-01-01

    A large number of tests, including tensile, creep, fatigue, and creep-fatigue were performed to characterize the mechanical properties of Inconel 718 (a nickel based superalloy) at 1200 F, the operating temperature for turbine blades. In addition, a few attempts were made to model the behavior of Inconel 718 at 1200 F using viscoplastic theories. The Chaboche theory of viscoplasticity can model a wide variety of mechanical behavior, including monotonic, sustained, and cyclic responses of homogeneous, initially-isotropic, strain hardening (or softening) materials. It is shown how the Chaboche theory can be used to model the viscoplastic behavior of Inconel 718 at 1200 F. First, an algorithm was developed to systematically determine the material parameters of the Chaboche theory from uniaxial tensile, creep, and cyclic data. The algorithm is general and can be used in conjunction with similar high temperature materials. A sensitivity study was then performed and an optimal set of Chaboche's parameters were obtained. This study has also indicated the role of each parameter in modeling the response to different loading conditions.

  7. Mathematical Modeling and Analysis of Multirobot Cooperative Hunting Behaviors

    Directory of Open Access Journals (Sweden)

    Yong Song

    2015-01-01

    Full Text Available This paper presents a mathematical model of multirobot cooperative hunting behavior. Multiple robots try to search for and surround a prey. When a robot detects a prey it forms a following team. When another “searching” robot detects the same prey, the robots form a new following team. Until four robots have detected the same prey, the prey disappears from the simulation and the robots return to searching for other prey. If a following team fails to be joined by another robot within a certain time limit the team is disbanded and the robots return to searching state. The mathematical model is formulated by a set of rate equations. The evolution of robot collective hunting behaviors represents the transition between different states of robots. The complex collective hunting behavior emerges through local interaction. The paper presents numerical solutions to normalized versions of the model equations and provides both a steady state and a collaboration ratio analysis. The value of the delay time is shown through mathematical modeling to be a strong factor in the performance of the system as well as the relative numbers of the searching robots and the prey.

  8. Modeling habits as self-sustaining patterns of sensorimotor behavior.

    Science.gov (United States)

    Egbert, Matthew D; Barandiaran, Xabier E

    2014-01-01

    In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced to a stimulus-triggered response probability correlation. In this paper we use a computational model to present an alternative theoretical view (with some philosophical implications), where habits are seen as self-maintaining patterns of behavior that share properties in common with self-maintaining biological processes, and that inhabit a complex ecological context, including the presence and influence of other habits. Far from mechanical automatisms, this organismic and self-organizing concept of habit can overcome the dominating atomistic and statistical conceptions, and the high temporal resolution effects of situatedness, embodiment and sensorimotor loops emerge as playing a more central, subtle and complex role in the organization of behavior. The model is based on a novel "iterant deformable sensorimotor medium (IDSM)," designed such that trajectories taken through sensorimotor-space increase the likelihood that in the future, similar trajectories will be taken. We couple the IDSM to sensors and motors of a simulated robot, and show that under certain conditions, the IDSM conditions, the IDSM forms self-maintaining patterns of activity that operate across the IDSM, the robot's body, and the environment. We present various environments and the resulting habits that form in them. The model acts as an abstraction of habits at a much needed sensorimotor "meso-scale" between microscopic neuron-based models and macroscopic descriptions of behavior. Finally, we discuss how this model and extensions of it can help us understand aspects of behavioral self-organization, historicity and autonomy that remain out of the scope of contemporary representationalist frameworks.

  9. Dysregulated sexuality and high sexual desire: distinct constructs?

    Science.gov (United States)

    Winters, Jason; Christoff, Kalina; Gorzalka, Boris B

    2010-10-01

    The literature on dysregulated sexuality, whether theoretical, clinical or empirical, has failed to differentiate the construct from high sexual desire. In this study, we tested three hypotheses which addressed this issue. A sample of 6458 men and 7938 women, some of whom had sought treatment for sexual compulsivity, addiction or impulsivity, completed an online survey comprised of various sexuality measures. Men and women who reported having sought treatment scored significantly higher on measures of dysregulated sexuality and sexual desire. For men, women, and those who had sought treatment, dysregulated sexuality was associated with increased sexual desire. Confirmatory factor analysis supported a one-factor model, indicating that, in both male and female participants, dysregulated sexuality and sexual desire variables loaded onto a single underlying factor. The results of this study suggest that dysregulated sexuality, as currently conceptualized, labelled, and measured, may simply be a marker of high sexual desire and the distress associated with managing a high degree of sexual thoughts, feelings, and needs.

  10. Body image and adolescence: A behavioral impairment model.

    Science.gov (United States)

    Senín-Calderón, Cristina; Rodríguez-Testal, Juan F; Perona-Garcelán, Salvador; Perpiñá, Conxa

    2017-02-01

    Adolescence is a period marked by important physical and social changes that can lead to a negative body image. The purpose of this study was to find a model enabling the appearance of behavioral impairment related to body image (restrictions, avoidance, and checking) to be predicted by body image attitudes (concern or Appearance Orientation, and dissatisfaction or Appearance Evaluation), Gender, emotional symptomatology, self-consciousness, ideas of reference (IR) and age. A total of 661 participants (67.47% girls) with an average age of 17.14 years (SD=2.34) filled in the GHQ-28, SCS on self-consciousness, REF referential thinking scale, MBSRQ (AO and AE), and BIAQ. A partial mediation model was found for IR, age and depressive symptomatology between dissatisfaction and concern about body image and Gender, to behavioral impairment related to body image. The results found suggest that age, depressive symptomatology, and IR may be mediator variables in the relationship between dissatisfaction and concern about body image, on body image behavioral impairment. This relationship implies a severity to be considered in intervention and monitoring of body image behavioral impairments in adolescents.

  11. Modeling driver behavior on motorways: Description of the SiMoNe model

    NARCIS (Netherlands)

    Minderhoud, M.M.; Bovy, P.H.L.

    1998-01-01

    Driver behavior on motorways is subject of study. It is essential to model driver behavior realistically in order to study traffic flow characteristics. Impacts of foreseen road geometry changes, vehicle characteristic adaptations or vehicle fleet composition changes on road capacity can be assessed

  12. a Model Study of Complex Behavior in the Belousov - Reaction.

    Science.gov (United States)

    Lindberg, David Mark

    1988-12-01

    We have studied the complex oscillatory behavior in a model of the Belousov-Zhabotinskii (BZ) reaction in a continuously-fed stirred tank reactor (CSTR). The model consisted of a set of nonlinear ordinary differential equations derived from a reduced mechanism of the chemical system. These equations were integrated numerically on a computer, which yielded the concentrations of the constituent chemicals as functions of time. In addition, solutions were tracked as functions of a single parameter, the stability of the solutions was determined, and bifurcations of the solutions were located and studied. The intent of this study was to use this BZ model to explore further a region of complex oscillatory behavior found in experimental investigations, the most thorough of which revealed an alternating periodic-chaotic (P-C) sequence of states. A P-C sequence was discovered in the model which showed the same qualitative features as the experimental sequence. In order to better understand the P-C sequence, a detailed study was conducted in the vicinity of the P-C sequence, with two experimentally accessible parameters as control variables. This study mapped out the bifurcation sets, and included examination of the dynamics of the stable periodic, unstable periodic, and chaotic oscillatory motion. Observations made from the model results revealed a rough symmetry which suggests a new way of looking at the P-C sequence. Other nonlinear phenomena uncovered in the model were boundary and interior crises, several codimension-two bifurcations, and similarities in the shapes of areas of stability for periodic orbits in two-parameter space. Each earlier model study of this complex region involved only a limited one-parameter scan and had limited success in producing agreement with experiments. In contrast, for those regions of complex behavior that have been studied experimentally, the observations agree qualitatively with our model results. Several new predictions of the model

  13. Constitutive Modeling of the Thermomechanical Behavior of Rock Salt

    Science.gov (United States)

    Hampel, A.

    2016-12-01

    For the safe disposal of heat-generating high-level radioactive waste in rock salt formations, highly reliable numerical simulations of the thermomechanical and hydraulic behavior of the host rock have to be performed. Today, the huge progress in computer technology has enabled experts to calculate large and detailed computer models of underground repositories. However, the big ad­van­ces in computer technology are only beneficial when the applied material models and modeling procedures also meet very high demands. They result from the fact that the evaluation of the long-term integrity of the geological barrier requires an extra­polation of a highly nonlinear deforma­tion behavior to up to 1 million years, while the underlying experimental investigations in the laboratory or in situ have a duration of only days, weeks or at most some years. Several advanced constitutive models were developed and continuously improved to describe the dependences of various deformation phenomena in rock salt on in-situ relevant boundary conditions: transient and steady-state creep, evolution of damage and dilatancy in the DRZ, failure, post-failure behavior, residual strength, damage and dilatancy reduction, and healing. In a joint project series between 2004 and 2016, fundamental features of the advanced models were investigated and compared in detail with benchmark calculations. The study included procedures for the determination of characteristic salt-type-specific model parameter values and for the performance of numerical calculations of underground structures. Based on the results of this work and on specific laboratory investigations, the rock mechanical modeling is currently developed further in a common research project of experts from Germany and the United States. In this presentation, an overview about the work and results of the project series is given and the current joint research project WEIMOS is introduced.

  14. A spatial model of mosquito host-seeking behavior.

    Science.gov (United States)

    Cummins, Bree; Cortez, Ricardo; Foppa, Ivo M; Walbeck, Justin; Hyman, James M

    2012-01-01

    Mosquito host-seeking behavior and heterogeneity in host distribution are important factors in predicting the transmission dynamics of mosquito-borne infections such as dengue fever, malaria, chikungunya, and West Nile virus. We develop and analyze a new mathematical model to describe the effect of spatial heterogeneity on the contact rate between mosquito vectors and hosts. The model includes odor plumes generated by spatially distributed hosts, wind velocity, and mosquito behavior based on both the prevailing wind and the odor plume. On a spatial scale of meters and a time scale of minutes, we compare the effectiveness of different plume-finding and plume-tracking strategies that mosquitoes could use to locate a host. The results show that two different models of chemotaxis are capable of producing comparable results given appropriate parameter choices and that host finding is optimized by a strategy of flying across the wind until the odor plume is intercepted. We also assess the impact of changing the level of host aggregation on mosquito host-finding success near the end of the host-seeking flight. When clusters of hosts are more tightly associated on smaller patches, the odor plume is narrower and the biting rate per host is decreased. For two host groups of unequal number but equal spatial density, the biting rate per host is lower in the group with more individuals, indicative of an attack abatement effect of host aggregation. We discuss how this approach could assist parameter choices in compartmental models that do not explicitly model the spatial arrangement of individuals and how the model could address larger spatial scales and other probability models for mosquito behavior, such as Lévy distributions.

  15. A spatial model of mosquito host-seeking behavior.

    Directory of Open Access Journals (Sweden)

    Bree Cummins

    Full Text Available Mosquito host-seeking behavior and heterogeneity in host distribution are important factors in predicting the transmission dynamics of mosquito-borne infections such as dengue fever, malaria, chikungunya, and West Nile virus. We develop and analyze a new mathematical model to describe the effect of spatial heterogeneity on the contact rate between mosquito vectors and hosts. The model includes odor plumes generated by spatially distributed hosts, wind velocity, and mosquito behavior based on both the prevailing wind and the odor plume. On a spatial scale of meters and a time scale of minutes, we compare the effectiveness of different plume-finding and plume-tracking strategies that mosquitoes could use to locate a host. The results show that two different models of chemotaxis are capable of producing comparable results given appropriate parameter choices and that host finding is optimized by a strategy of flying across the wind until the odor plume is intercepted. We also assess the impact of changing the level of host aggregation on mosquito host-finding success near the end of the host-seeking flight. When clusters of hosts are more tightly associated on smaller patches, the odor plume is narrower and the biting rate per host is decreased. For two host groups of unequal number but equal spatial density, the biting rate per host is lower in the group with more individuals, indicative of an attack abatement effect of host aggregation. We discuss how this approach could assist parameter choices in compartmental models that do not explicitly model the spatial arrangement of individuals and how the model could address larger spatial scales and other probability models for mosquito behavior, such as Lévy distributions.

  16. Mechanical behavior of hydroxyapatite biomaterials: an experimentally validated micromechanical model for elasticity and strength.

    Science.gov (United States)

    Fritsch, Andreas; Dormieux, Luc; Hellmich, Christian; Sanahuja, Julien

    2009-01-01

    Hydroxyapatite (HA) biomaterials production has been a major field in biomaterials science and biomechanical engineering. As concerns prediction of their stiffness and strength, we propose to go beyond statistical correlations with porosity or empirical structure-property relationships, as to resolve the material-immanent microstructures governing the overall mechanical behavior. The macroscopic mechanical properties are estimated from the microstructures of the materials and their composition, in a homogenization process based on continuum micromechanics. Thereby, biomaterials are envisioned as porous polycrystals consisting of HA needles and spherical pores. Validation of respective micromechanical models relies on two independent experimental sets: biomaterial-specific macroscopic (homogenized) stiffness and uniaxial (tensile and compressive) strength predicted from biomaterial-specific porosities, on the basis of biomaterial-independent ("universal") elastic and strength properties of HA, are compared with corresponding biomaterial-specific experimentally determined (acoustic and mechanical) stiffness and strength values. The good agreement between model predictions and the corresponding experiments underlines the potential of micromechanical modeling in improving biomaterial design, through optimization of key parameters such as porosities or geometries of microstructures, in order to reach the desired values for biomaterial stiffness or strength.

  17. Characteristics of Behavior of Robots with Emotion Model

    Science.gov (United States)

    Sato, Shigehiko; Nozawa, Akio; Ide, Hideto

    Cooperated multi robots system has much dominance in comparison with single robot system. It is able to adapt to various circumstances and has a flexibility for variation of tasks. However it has still problems to control each robot, though methods for control multi robots system have been studied. Recently, the robots have been coming into real scene. And emotion and sensitivity of the robots have been widely studied. In this study, human emotion model based on psychological interaction was adapt to multi robots system to achieve methods for organization of multi robots. The characteristics of behavior of multi robots system achieved through computer simulation were analyzed. As a result, very complexed and interesting behavior was emerged even though it has rather simple configuration. And it has flexiblity in various circumstances. Additional experiment with actual robots will be conducted based on the emotion model.

  18. Health behaviors of people with hypertension: health belief model

    Directory of Open Access Journals (Sweden)

    Ariane Alves Barros

    2014-09-01

    Full Text Available This study aimed to identify the lifestyle of hypertensive patients, focusing on their health behaviors in light of the Health Belief Model. This is a descriptive cross-sectional study with a sample of 133 patients over 18 years old, with hypertension, registered in the Clinical Management System for Hypertension and Diabetes Mellitus in Primary Care, and monitored in five health centers in Fortaleza, CE, Brazil, chosen randomly and probabilistically. Data collection happened through a structured interview that was designed based on the Health Belief Model, from March to December 2013. Participants perceived the disease’s severity and felt susceptible to develop complications from hypertension. They reported receiving treatment correctly; however, the values ​​of blood pressure, waist-hip ratio, and body mass index were high. Thus, it is necessary that health professionals implement strategies that favor hypertensive patients who are undergoing treatment to have healthy behavior.

  19. Behavioral modeling of rf VCO circuit with MEMS LC resonator

    Science.gov (United States)

    Mohamed, Amal; Elsimary, Hamed; Ismail, Mohammed

    2001-04-01

    In this work, a behavioral Modeling of RF VCO circuit which has a tank designed by Microelectromechanical system (MEMS) technology is presented emphasizing robust design that can obtain the parametric variable of the suspended spiral inductor and the MEMS tunable capacitor to high performance and reliable design of the VCO circuit. The MEMS spiral inductor has a low phase noise effect on the VCO output, and the MEMS tunable capacitance has very high quality factor with enabling 20% change of oscillation frequency. The designed monolithic RF VCO circuit and the high-Q MEMS inductor and tunable capacitor are modeled using specter-s simulator in the CADENCE design framework and (Verilog-A) behavioral simulator. Complete monolithic fabrication of RF VCO with high-Q MEMS devices using standard CMOS process (MOSIS, AMI 1.2 micrometer).

  20. Robustness of Power-law Behavior in Cascading Failure Models

    CERN Document Server

    Sloothaak, F; Zwart, A P

    2016-01-01

    Inspired by reliability issues in electric transmission networks, we use a probabilistic approach to study the occurrence of large failures in a stylized cascading failure model. In this model, lines have random capacities that initially meet the load demands imposed on the network. Every single line failure changes the load distribution in the surviving network, possibly causing further lines to become overloaded and trip as well. An initial single line failure can therefore potentially trigger massive cascading effects, and in this paper we measure the risk of such cascading events by the probability that the number of failed lines exceeds a certain large threshold. Under particular critical conditions, the exceedance probability follows a power-law distribution, implying a significant risk of severe failures. We examine the robustness of the power-law behavior by exploring under which assumptions this behavior prevails.

  1. Analytic modeling of the subthreshold behavior in MOSFET

    Science.gov (United States)

    Liu, C. W.; Hsieh, T. X.

    2000-09-01

    An analytic model is derived to describe the bias-dependent behavior of the subthreshold swing in MOSFETs for the uniform channel and the ion-implanted channel, and is compared to two-dimensional simulation, Tsividis' model and Brews' model. This simple analytical model confirms that the subthreshold swing is a function of the gate-source bias and exhibits a global minimum in the weak inversion region. This model is based on Tsividis' current equations and assumes that the surface potential difference between the drain and the source is small for the gate-source voltage below the threshold voltage. This yields a conventional exponential form of the subthreshold current, and the subthreshold swing can be obtained analytically from this current equation.

  2. Stochastic Models Predict User Behavior in Social Media

    CERN Document Server

    Hogg, Tad; Smith, Laura M

    2013-01-01

    User response to contributed content in online social media depends on many factors. These include how the site lays out new content, how frequently the user visits the site, how many friends the user follows, how active these friends are, as well as how interesting or useful the content is to the user. We present a stochastic modeling framework that relates a user's behavior to details of the site's user interface and user activity and describe a procedure for estimating model parameters from available data. We apply the model to study discussions of controversial topics on Twitter, specifically, to predict how followers of an advocate for a topic respond to the advocate's posts. We show that a model of user behavior that explicitly accounts for a user transitioning through a series of states before responding to an advocate's post better predicts response than models that fail to take these states into account. We demonstrate other benefits of stochastic models, such as their ability to identify users who a...

  3. An information propagation model considering incomplete reading behavior in microblog

    Science.gov (United States)

    Su, Qiang; Huang, Jiajia; Zhao, Xiande

    2015-02-01

    Microblog is one of the most popular communication channels on the Internet, and has already become the third largest source of news and public opinions in China. Although researchers have studied the information propagation in microblog using the epidemic models, previous studies have not considered the incomplete reading behavior among microblog users. Therefore, the model cannot fit the real situations well. In this paper, we proposed an improved model entitled Microblog-Susceptible-Infected-Removed (Mb-SIR) for information propagation by explicitly considering the user's incomplete reading behavior. We also tested the effectiveness of the model using real data from Sina Microblog. We demonstrate that the new proposed model is more accurate in describing the information propagation in microblog. In addition, we also investigate the effects of the critical model parameters, e.g., reading rate, spreading rate, and removed rate through numerical simulations. The simulation results show that, compared with other parameters, reading rate plays the most influential role in the information propagation performance in microblog.

  4. Genetical Genomics of Behavior: A Novel Chicken Genomic Model for Anxiety Behavior.

    Science.gov (United States)

    Johnsson, Martin; Williams, Michael J; Jensen, Per; Wright, Dominic

    2016-01-01

    The identification of genetic variants responsible for behavioral variation is an enduring goal in biology, with wide-scale ramifications, ranging from medical research to evolutionary theory on personality syndromes. Here, we use for the first time a large-scale genetical genomics analysis in the brains of chickens to identify genes affecting anxiety as measured by an open field test. We combine quantitative trait locus (QTL) analysis in 572 individuals and expression QTL (eQTL) analysis in 129 individuals from an advanced intercross between domestic chickens and Red Junglefowl. We identify 10 putative quantitative trait genes affecting anxiety behavior. These genes were tested for an association in the mouse Heterogeneous Stock anxiety (open field) data set and human GWAS data sets for bipolar disorder, major depressive disorder, and schizophrenia. Although comparisons between species are complex, associations were observed for four of the candidate genes in mice and three of the candidate genes in humans. Using a multimodel approach we have therefore identified a number of putative quantitative trait genes affecting anxiety behavior, principally in chickens but also with some potentially translational effects as well. This study demonstrates that chickens are an excellent model organism for the genetic dissection of behavior.

  5. Health behaviors of people with hypertension: health belief model

    OpenAIRE

    Ariane Alves Barros; Maria Vilaní Cavalcante Guedes; Denizielle de Jesus Moreira Moura; Luciana Catunda Gomes de Menezes; Letícia Lima Aguiar; Gleudson Alves Xavier

    2014-01-01

    This study aimed to identify the lifestyle of hypertensive patients, focusing on their health behaviors in light of the Health Belief Model. This is a descriptive cross-sectional study with a sample of 133 patients over 18 years old, with hypertension, registered in the Clinical Management System for Hypertension and Diabetes Mellitus in Primary Care, and monitored in five health centers in Fortaleza, CE, Brazil, chosen randomly and probabilistically. Data collection happened through a struct...

  6. Modeling of cyclists acceleration behavior using naturalistic data

    OpenAIRE

    Luo, Ding

    2014-01-01

    Over the past few years, many cities have witnessed the increasing popularity of cycling, especially among ordinary commuters. Accordingly, there has also been a fast growing demand for the knowledge of cycling performance as well as cyclist behavior, which can be valuable for both traffic planners and policy makers when it comes to the bicycle-related issues. The aim of this study, hence, is to investigate the cycling performance in detail and to further develop proper models which can be im...

  7. School Attendance and Child Labor - A Model of Collective Behavior

    OpenAIRE

    Strulik, Holger

    2010-01-01

    This paper theoretically investigates how community approval or disapproval affects school attendance and child labor and how aggregate behavior of the community feeds back towards the formation and persistence of an anti- (or pro-) schooling norm. The proposed community-model continues to take aggregate and idiosyncratic poverty into account as an important driver of low school attendance and child labor. But it provides also an explanation for why equally poor villages or regions can displa...

  8. A nude mouse model of endometriosis and its biological behaviors

    Institute of Scientific and Technical Information of China (English)

    WANG Dan-bo; ZHANG Shu-lan; NIU Hui-yan; LU Jing-ming

    2005-01-01

    @@ Endometriosis (EM) as a common and intractable gynecological disease is characterized by unknown etiology and complex pathologic changes. Many factors of the disease are uncertain at the molecular level and it is difficult to study clinically. In this study, we attempted to establish a nude mice model of EM for dynamical observation of the genesis and development of the disease, morphological changes in tissue, and biological behaviors.

  9. Modeling the behavior of the helmsman steering a ship

    Science.gov (United States)

    Veldhuyzen, W.; Stassen, H. G.

    1973-01-01

    A supertanker is considered as a nonlinear system which responds very slowly to changes in the rudder position. Moreover this type of ship is often unstable in loaded condition. In order to model the helmsman's behavior, a number of tests were performed using a ship maneuvering simulator. The trained subjects had to steer a 200,000 tons tanker along a varying course. The results obtained from these trials are presented.

  10. A Study on Bible Archetypes in Desire under the Elms

    Institute of Scientific and Technical Information of China (English)

    DU Man-li

    2014-01-01

    Desire under the Elms reveals a tragedy of spiritual and survival desire of human being. O’Neill creates many Bible ar-chetypes in Desire under the Elms. The thesis analyzes and appreciates Desire under the Elms from aspect of Bible archetype to highlight the destructive power of improper desires in Desire under the Elms.

  11. Power, desire, and pleasure in sexual fantasies.

    Science.gov (United States)

    Zurbriggen, Eileen L; Yost, Megan R

    2004-08-01

    One hundred and sixty-two participants (ages 21-45) wrote open-ended sexual fantasies and completed self-report measures of rape myth acceptance, adversarial sexual beliefs, and attitudes toward women. We coded fantasies using a newly developed scoring system that includes themes of dominance, submission, sexual pleasure, and sexual desire. Men fantasized about dominance more than women did; they also tended to focus more on the desire and pleasure of their partner. Desire and pleasure were more closely linked in the fantasies of men than in the fantasies of women, for whom the two were distinct constructs. Although fantasies of submission were not associated with problematic attitudes for either gender, men's fantasies of dominance were associated with greater acceptance of rape myths. For women, greater rape myth acceptance was associated with emotional and romantic fantasy themes.

  12. The Self-Justifying Desire for Happiness

    DEFF Research Database (Denmark)

    Rodogno, Raffaele

    2004-01-01

    In Happiness, Tabensky equates the notion of happiness to Aristotelian eudaimonia. I shall claim that doing so amounts to equating two concepts that moderns cannot conceptually equate, namely, the good for a person and the good person or good life. In §2 I examine the way in which Tabensky deals...... with this issue and claim that his idea of happiness is as problematic for us moderns as is any translation of the notion of eudaimonia in terms of happiness. Naturally, if happiness understood as eudaimonia is ambiguous, so will be the notion of a desire for happiness, which we find at the core of Tabensky......'s whole project. In §3 I shall be concerned with another aspect of the desire for happiness; namely, its alleged self-justifying nature. I will attempt to undermine the idea that this desire is self-justifying by undermining the criterion on which Tabensky takes self-justifiability to rest, i.e. its...

  13. An Attendance Behavior Model At Sports Events: Comparison and Constrast of Two Models

    National Research Council Canada - National Science Library

    Santos, Manuel Alonso Dos

    2012-01-01

    The purpose of this research is to improve our understanding of consumer behavior in the context of sporting events by means of the use of two models which are widely used in the marketing literature...

  14. An ecologically relevant guinea pig model of fetal behavior.

    Science.gov (United States)

    Bellinger, S A; Lucas, D; Kleven, G A

    2015-04-15

    The laboratory guinea pig, Cavia porcellus, shares with humans many similarities during pregnancy and prenatal development, including precocial offspring and social dependence. These similarities suggest the guinea pig as a promising model of fetal behavioral development as well. Using innovative methods of behavioral acclimation, fetal offspring of female IAF hairless guinea pigs time mated to NIH multicolored Hartley males were observed longitudinally without restraint using noninvasive ultrasound at weekly intervals across the 10 week gestation. To ensure that the ultrasound procedure did not cause significant stress, salivary cortisol was collected both before and after each observation. Measures of fetal spontaneous movement and behavioral state were quantified from video recordings from week 3 through the last week before birth. Results from prenatal quantification of Interlimb Movement Synchrony and state organization reveal guinea pig fetal development to be strikingly similar to that previously reported for other rodents and preterm human infants. Salivary cortisol readings taken before and after sonography did not differ at any observation time point. These results suggest this model holds translational promise for studying the prenatal mechanisms of neurobehavioral development, including those that may result from adverse events. Because the guinea pig is a highly social mammal with a wide range of socially oriented vocalizations, this model may also have utility for studying the prenatal origins and trajectories of developmental disabilities with social-emotional components, such as autism.

  15. Multinomial Logit Model of Pedestrian Crossing Behaviors at Signalized Intersections

    Directory of Open Access Journals (Sweden)

    Zhu-Ping Zhou

    2013-01-01

    Full Text Available Pedestrian crashes, making up a large proportion of road casualties, are more likely to occur at signalized intersections in China. This paper aims to study the different pedestrian behaviors of regular users, late starters, sneakers, and partial sneakers. Behavior information was observed manually in the field study. After that, the survey team distributed a questionnaire to the same participant who has been observed, to acquire detailed demographic and socioeconomic characteristics as well as attitude and preference indicators. Totally, 1878 pedestrians were surveyed at 16 signalized intersections in Nanjing. First, correlation analysis is performed to analyze each factor’s effect. Then, five latent variables including safety, conformity, comfort, flexibility, and fastness are obtained by structure equation modeling (SEM. Moreover, based on the results of SEM, a multinomial logit model with latent variables is developed to describe how the factors influence pedestrians’ behavior. Finally, some conclusions are drawn from the model: (1 for the choice of being late starters, arrival time, the presence of oncoming cars, and crosswalk length are the most important factors; (2 gender has the most significant effect on the pedestrians to be sneakers; and (3 age is the most important factor when pedestrians choose to be partial sneakers.

  16. Fertility Desires among Women Living with HIV

    Science.gov (United States)

    Cook, Ryan; Potter, JoNell Efantis; Miron-Shatz, Talya; Chakhtoura, Nahida; Spence, Andrew; Byrne, Margaret M.

    2016-01-01

    Objective Rates of pregnancy among women living with HIV (WLHIV) have increased with the availability of effective HIV treatment. Planning for pregnancy and childbirth is an increasingly important element of HIV care. Though rates of unintended pregnancies are high among women in general, among couples affected by HIV, significant planning and reproductive decisions must be considered to prevent negative health consequences for WLHIV and their neonates. To gain insight into this reproductive decision-making process among WLHIV, this study explored women’s knowledge, attitudes and practices regarding fertility planning, reproductive desires, and safer conception practices. It was hypothesized that pregnancy desires would be influenced by partners, families, the potential risk of HIV transmission to infants, and physicians’ recommendations. Methods WLHIV of childbearing age were recruited from urban South Florida, and completed an assessment of demographics (N = 49), fertility desires and a conjoint survey of factors associated with reproductive decision-making. Results Using conjoint analysis, we found that different decision paths exist for different types of women: Younger women and those with less education desired children if their partners wanted children; reproductive desires among those with less education, and with less HIV pregnancy-related knowledge, displayed a trend toward additional emphasis on their family’s desires. Conversely, older women and those with more education appeared to place more importance on physician endorsement in their plans for childbearing. Conclusions Results of this study highlight the importance of ongoing preconception counselling for all women of reproductive age during routine HIV care. Counselling should be tailored to patient characteristics, and physicians should consider inclusion of families and/or partners in the process. PMID:27610626

  17. Clash of Desires: Detective vs. Femme Fatale

    Directory of Open Access Journals (Sweden)

    Veronika Pituková

    2013-06-01

    Full Text Available This article discusses the theme of desire presented in American hard-boiled detective fiction and its subsequent transformation on the screen in form of films noir of the 1940’s. The works in focus are novels The Maltese Falcon by Dashiell Hammett, Farewell, My Lovely by Raymond Chandler and Build My Gallows High by Daniel Mainwaring and their film noir adaptations – The Maltese Falcon (1941, Murder, My Sweet (1944 and Out of the Past (1947. The proposed paper seeks to offer a contrastive analysis of the novels and the films and situate them in their respective social and cultural contexts. The central conflict of this article is presented by the clash between the femme fatale’s and detective’s desires. Hard-boiled novels present femme fatale as a dame with a past, a spider woman, and the detective as a hero with no future, caught in her web of intrigues. The only way out for the detective is to suppress the sexual desire for the woman and hold strong to his professional code. The femme fatale’s desire for more and for better is deadly and dangerous for those who succumb to her lure, but the detective’s desire for truth can be fatal for the dark lady too.  This clash presented in the novels is confronted with the 1940’s Hollywood production. When the detective frees himself from the sexual lure of the fatal woman he has a chance to live and even bring her to justice, but she can still escape or decide herself what to do with her destiny. Both, the dame and the hero are victims of their desires. The 1940’s films noir’s femme fatales have to pay for their crimes, no matter how crafty, seductive or manipulative they are.  Thus these films present the masculine dominance as strong and undefeated.

  18. Modeling Answer Change Behavior: An Application of a Generalized Item Response Tree Model

    Science.gov (United States)

    Jeon, Minjeong; De Boeck, Paul; van der Linden, Wim

    2017-01-01

    We present a novel application of a generalized item response tree model to investigate test takers' answer change behavior. The model allows us to simultaneously model the observed patterns of the initial and final responses after an answer change as a function of a set of latent traits and item parameters. The proposed application is illustrated…

  19. Recording Lifetime Behavior and Movement in an Invertebrate Model

    Science.gov (United States)

    Zou, Sige; Liedo, Pablo; Altamirano-Robles, Leopoldo; Cruz-Enriquez, Janeth; Morice, Amy; Ingram, Donald K.; Kaub, Kevin; Papadopoulos, Nikos; Carey, James R.

    2011-01-01

    Characterization of lifetime behavioral changes is essential for understanding aging and aging-related diseases. However, such studies are scarce partly due to the lack of efficient tools. Here we describe and provide proof of concept for a stereo vision system that classifies and sequentially records at an extremely fine scale six different behaviors (resting, micro-movement, walking, flying, feeding and drinking) and the within-cage (3D) location of individual tephritid fruit flies by time-of-day throughout their lives. Using flies fed on two different diets, full sugar-yeast and sugar-only diets, we report for the first time their behavioral changes throughout their lives at a high resolution. We have found that the daily activity peaks at the age of 15–20 days and then gradually declines with age for flies on both diets. However, the overall daily activity is higher for flies on sugar-only diet than those on the full diet. Flies on sugar-only diet show a stronger diurnal localization pattern with higher preference to staying on the top of the cage during the period of light-off when compared to flies on the full diet. Clustering analyses of age-specific behavior patterns reveal three distinct young, middle-aged and old clusters for flies on each of the two diets. The middle-aged groups for flies on sugar-only diet consist of much younger age groups when compared to flies on full diet. This technology provides research opportunities for using a behavioral informatics approach for understanding different ways in which behavior, movement, and aging in model organisms are mutually affecting. PMID:21559058

  20. Single crystal plasticity by modeling dislocation density rate behavior

    Energy Technology Data Exchange (ETDEWEB)

    Hansen, Benjamin L [Los Alamos National Laboratory; Bronkhorst, Curt [Los Alamos National Laboratory; Beyerlein, Irene [Los Alamos National Laboratory; Cerreta, E. K. [Los Alamos National Laboratory; Dennis-Koller, Darcie [Los Alamos National Laboratory

    2010-12-23

    The goal of this work is to formulate a constitutive model for the deformation of metals over a wide range of strain rates. Damage and failure of materials frequently occurs at a variety of deformation rates within the same sample. The present state of the art in single crystal constitutive models relies on thermally-activated models which are believed to become less reliable for problems exceeding strain rates of 10{sup 4} s{sup -1}. This talk presents work in which we extend the applicability of the single crystal model to the strain rate region where dislocation drag is believed to dominate. The elastic model includes effects from volumetric change and pressure sensitive moduli. The plastic model transitions from the low-rate thermally-activated regime to the high-rate drag dominated regime. The direct use of dislocation density as a state parameter gives a measurable physical mechanism to strain hardening. Dislocation densities are separated according to type and given a systematic set of interactions rates adaptable by type. The form of the constitutive model is motivated by previously published dislocation dynamics work which articulated important behaviors unique to high-rate response in fcc systems. The proposed material model incorporates thermal coupling. The hardening model tracks the varying dislocation population with respect to each slip plane and computes the slip resistance based on those values. Comparisons can be made between the responses of single crystals and polycrystals at a variety of strain rates. The material model is fit to copper.

  1. SPIRAL2/DESIR high resolution mass separator

    Energy Technology Data Exchange (ETDEWEB)

    Kurtukian-Nieto, T., E-mail: kurtukia@cenbg.in2p3.fr [Centre d’Études Nucléaires de Bordeaux Gradignan, Université Bordeaux 1-CNRS/IN2P3, BP 120, F-33175 Gradignan Cedex (France); Baartman, R. [TRIUMF, 4004 Wesbrook Mall, Vancouver B.C., V6T 2A3 (Canada); Blank, B.; Chiron, T. [Centre d’Études Nucléaires de Bordeaux Gradignan, Université Bordeaux 1-CNRS/IN2P3, BP 120, F-33175 Gradignan Cedex (France); Davids, C. [Physics Division, Argonne National Laboratory, Argonne, IL 60439 (United States); Delalee, F. [Centre d’Études Nucléaires de Bordeaux Gradignan, Université Bordeaux 1-CNRS/IN2P3, BP 120, F-33175 Gradignan Cedex (France); Duval, M. [GANIL, CEA/DSM-CNRS/IN2P3, Bd Henri Becquerel, BP 55027, F-14076 Caen Cedex 5 (France); El Abbeir, S.; Fournier, A. [Centre d’Études Nucléaires de Bordeaux Gradignan, Université Bordeaux 1-CNRS/IN2P3, BP 120, F-33175 Gradignan Cedex (France); Lunney, D. [CSNSM-IN2P3-CNRS, Université de Paris Sud, F-91405 Orsay (France); Méot, F. [BNL, Upton, Long Island, New York (United States); Serani, L. [Centre d’Études Nucléaires de Bordeaux Gradignan, Université Bordeaux 1-CNRS/IN2P3, BP 120, F-33175 Gradignan Cedex (France); Stodel, M.-H.; Varenne, F. [GANIL, CEA/DSM-CNRS/IN2P3, Bd Henri Becquerel, BP 55027, F-14076 Caen Cedex 5 (France); and others

    2013-12-15

    DESIR is the low-energy part of the SPIRAL2 ISOL facility under construction at GANIL. DESIR includes a high-resolution mass separator (HRS) with a designed resolving power m/Δm of 31,000 for a 1 π-mm-mrad beam emittance, obtained using a high-intensity beam cooling device. The proposed design consists of two 90-degree magnetic dipoles, complemented by electrostatic quadrupoles, sextupoles, and a multipole, arranged in a symmetric configuration to minimize aberrations. A detailed description of the design and results of extensive simulations are given.

  2. Children's Social Desirability and Dietary Reports.

    Science.gov (United States)

    Baxter, Suzanne Domel; Smith, Albert F; Litaker, Mark S; Baglio, Michelle L; Guinn, Caroline H; Shaffer, Nicole M

    2004-01-01

    We investigated telephone administration of the Children's Social Desirability (CSD) scale and our adaptation for children of the Social Desirability for Food scale (C-SDF). Each of 100 4th-graders completed 2 telephone interviews 28 days apart. CSD scores had adequate internal consistency and test-retest reliability, and a 14-item subset was identified that sufficiently measures the same construct. Our C-SDF scale performed less well in terms of internal consistency and test-retest reliability; factor analysis revealed 2 factors, 1 of which was moderately related to the CSD. The 14-item subset of the CSD scale may help researchers understand error in children's dietary reports.

  3. Health Belief Model and Reasoned Action Theory in Predicting Water Saving Behaviors in Yazd, Iran

    OpenAIRE

    Mohammad Taghi Ghaneian; Mahdieh Momayyezi; Mohammad Ali Morowatisharifabad

    2012-01-01

    Background: People's behaviors and intentions about healthy behaviors depend on their beliefs, values, and knowledge about the issue. Various models of health education are used in deter-mining predictors of different healthy behaviors but their efficacy in cultural behaviors, such as water saving behaviors, are not studied. The study was conducted to explain water saving beha-viors in Yazd, Iran on the basis of Health Belief Model and Reasoned Action Theory. Methods: The cross-sectional stud...

  4. Simulation of rheological behavior of asphalt mixture with lattice model

    Institute of Scientific and Technical Information of China (English)

    杨圣枫; 杨新华; 陈传尧

    2008-01-01

    A three-dimensional(3D) lattice model for predicting the rheological behavior of asphalt mixtures was presented.In this model asphalt mixtures were described as a two-phase composite material consisting of asphalt sand and coarse aggregates distributed randomly.Asphalt sand was regarded as a viscoelastic material and aggregates as an elastic material.The rheological response of asphalt mixture subjected to different constant stresses was simulated.The calibrated overall creep strain shows a good approximation to experimental results.

  5. Predictive models of procedural human supervisory control behavior

    Science.gov (United States)

    Boussemart, Yves

    Human supervisory control systems are characterized by the computer-mediated nature of the interactions between one or more operators and a given task. Nuclear power plants, air traffic management and unmanned vehicles operations are examples of such systems. In this context, the role of the operators is typically highly proceduralized due to the time and mission-critical nature of the tasks. Therefore, the ability to continuously monitor operator behavior so as to detect and predict anomalous situations is a critical safeguard for proper system operation. In particular, such models can help support the decision J]l8king process of a supervisor of a team of operators by providing alerts when likely anomalous behaviors are detected By exploiting the operator behavioral patterns which are typically reinforced through standard operating procedures, this thesis proposes a methodology that uses statistical learning techniques in order to detect and predict anomalous operator conditions. More specifically, the proposed methodology relies on hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs) to generate predictive models of unmanned vehicle systems operators. Through the exploration of the resulting HMMs in two distinct single operator scenarios, the methodology presented in this thesis is validated and shown to provide models capable of reliably predicting operator behavior. In addition, the use of HSMMs on the same data scenarios provides the temporal component of the predictions missing from the HMMs. The final step of this work is to examine how the proposed methodology scales to more complex scenarios involving teams of operators. Adopting a holistic team modeling approach, both HMMs and HSMMs are learned based on two team-based data sets. The results show that the HSMMs can provide valuable timing information in the single operator case, whereas HMMs tend to be more robust to increased team complexity. In addition, this thesis discusses the

  6. Box-Cox Mixed Logit Model for Travel Behavior Analysis

    Science.gov (United States)

    Orro, Alfonso; Novales, Margarita; Benitez, Francisco G.

    2010-09-01

    To represent the behavior of travelers when they are deciding how they are going to get to their destination, discrete choice models, based on the random utility theory, have become one of the most widely used tools. The field in which these models were developed was halfway between econometrics and transport engineering, although the latter now constitutes one of their principal areas of application. In the transport field, they have mainly been applied to mode choice, but also to the selection of destination, route, and other important decisions such as the vehicle ownership. In usual practice, the most frequently employed discrete choice models implement a fixed coefficient utility function that is linear in the parameters. The principal aim of this paper is to present the viability of specifying utility functions with random coefficients that are nonlinear in the parameters, in applications of discrete choice models to transport. Nonlinear specifications in the parameters were present in discrete choice theory at its outset, although they have seldom been used in practice until recently. The specification of random coefficients, however, began with the probit and the hedonic models in the 1970s, and, after a period of apparent little practical interest, has burgeoned into a field of intense activity in recent years with the new generation of mixed logit models. In this communication, we present a Box-Cox mixed logit model, original of the authors. It includes the estimation of the Box-Cox exponents in addition to the parameters of the random coefficients distribution. Probability of choose an alternative is an integral that will be calculated by simulation. The estimation of the model is carried out by maximizing the simulated log-likelihood of a sample of observed individual choices between alternatives. The differences between the predictions yielded by models that are inconsistent with real behavior have been studied with simulation experiments.

  7. Mechanical Model for Dynamic Behavior of Concrete Under Impact Loading

    Science.gov (United States)

    Sun, Yuanxiang

    Concrete is a geo-material which is used substantively in the civil building and military safeguard. One coupled model of damage and plasticity to describe the complex behavior of concrete subjected to impact loading is proposed in this research work. The concrete is assumed as homogeneous continuum with pre-existing micro-cracks and micro-voids. Damage to concrete is caused due to micro-crack nucleation, growth and coalescence, and defined as the probability of fracture at a given crack density. It induces a decrease of strength and stiffness of concrete. Compaction of concrete is physically a collapse of the material voids. It produces the plastic strain in the concrete and, at the same time, an increase of the bulk modulus. In terms of crack growth model, micro-cracks are activated, and begin to propagate gradually. When crack density reaches a critical value, concrete takes place the smashing destroy. The model parameters for mortar are determined using plate impact experiment with uni-axial strain state. Comparison with the test results shows that the proposed model can give consistent prediction of the impact behavior of concrete. The proposed model may be used to design and analysis of concrete structures under impact and shock loading. This work is supported by State Key Laboratory of Explosion science and Technology, Beijing Institute of Technology (YBKT14-02).

  8. Alterations in choice behavior by manipulations of world model

    Science.gov (United States)

    Green, C. S.; Benson, C.; Kersten, D.; Schrater, P.

    2010-01-01

    How to compute initially unknown reward values makes up one of the key problems in reinforcement learning theory, with two basic approaches being used. Model-free algorithms rely on the accumulation of substantial amounts of experience to compute the value of actions, whereas in model-based learning, the agent seeks to learn the generative process for outcomes from which the value of actions can be predicted. Here we show that (i) “probability matching”—a consistent example of suboptimal choice behavior seen in humans—occurs in an optimal Bayesian model-based learner using a max decision rule that is initialized with ecologically plausible, but incorrect beliefs about the generative process for outcomes and (ii) human behavior can be strongly and predictably altered by the presence of cues suggestive of various generative processes, despite statistically identical outcome generation. These results suggest human decision making is rational and model based and not consistent with model-free learning. PMID:20805507

  9. Sexual Desire in Sexual Minority and Majority Women and Men: The Multifaceted Sexual Desire Questionnaire.

    Science.gov (United States)

    Chadwick, Sara B; Burke, Shannon M; Goldey, Katherine L; Bell, Sarah N; van Anders, Sari M

    2017-01-09

    Sexual desire is increasingly understood to be multifaceted and not solely erotically oriented, but measures are still generally unitary and eroticism-focused. Our goals in this article were to explore the multifaceted nature of sexual desire and develop a measure to do so, and to determine how multifaceted sexual desire might be related to gender/sex and sexual orientation/identity. In the development phase, we generated items to form the 65-item Sexual Desire Questionnaire (DESQ). Next, the DESQ was administered to 609 women, 705 men, and 39 non-binary identified participants. Results showed that the DESQ demonstrated high reliability and validity, and that sexual desire was neither unitary nor entirely erotic, but instead was remarkably multifaceted. We also found that multifaceted sexual desire was in part related to social location variables such as gender/sex and sexual orientation/identity. We propose the DESQ as a measure of multifaceted sexual desire that can be used to compare factor themes, total scores, and scores across individual items in diverse groups that take social context into account. Results are discussed in light of how social location variables should be considered when making generalizations about sexual desire, and how conceptualizations of desire as multifaceted may provide important insights.

  10. An Integrative Behavioral Model of Information Security Policy Compliance

    Directory of Open Access Journals (Sweden)

    Sang Hoon Kim

    2014-01-01

    Full Text Available The authors found the behavioral factors that influence the organization members’ compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members’ attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1 the study is expected to play a role of the baseline for future research about organization members’ compliance with the information security policy, (2 the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3 the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training

  11. A Financial Data Mining Model for Extracting Customer Behavior

    Directory of Open Access Journals (Sweden)

    Mark K.Y. Mak

    2011-08-01

    Full Text Available Facing the problem of variation and chaotic behavior of customers, the lack of sufficient information is a challenge to many business organizations. Human analysts lacking an understanding of the hidden patterns in business data, thus, can miss corporate business opportunities. In order to embrace all business opportunities, enhance the competitiveness, discovery of hidden knowledge, unexpected patterns and useful rules from large databases have provided a feasible solution for several decades. While there is a wide range of financial analysis products existing in the financial market, how to customize the investment portfolio for the customer is still a challenge to many financial institutions. This paper aims at developing an intelligent Financial Data Mining Model (FDMM for extracting customer behavior in the financial industry, so as to increase the availability of decision support data and hence increase customer satisfaction. The proposed financial model first clusters the customers into several sectors, and then finds the correlation among these sectors. It is noted that better customer segmentation can increase the ability to identify targeted customers, therefore extracting useful rules for specific clusters can provide an insight into customers' buying behavior and marketing implications. To validate the feasibility of the proposed model, a simple dataset is collected from a financial company in Hong Kong. The simulation experiments show that the proposed method not only can improve the workflow of a financial company, but also deepen understanding of investment behavior. Thus, a corporation is able to customize the most suitable products and services for customers on the basis of the rules extracted.

  12. An integrative behavioral model of information security policy compliance.

    Science.gov (United States)

    Kim, Sang Hoon; Yang, Kyung Hoon; Park, Sunyoung

    2014-01-01

    The authors found the behavioral factors that influence the organization members' compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members' attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1) the study is expected to play a role of the baseline for future research about organization members' compliance with the information security policy, (2) the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3) the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training programs suppressing

  13. Genetic mouse models for behavioral analysis through transgenic RNAi technology.

    Science.gov (United States)

    Delic, S; Streif, S; Deussing, J M; Weber, P; Ueffing, M; Hölter, S M; Wurst, W; Kühn, R

    2008-10-01

    Pharmacological inhibitors and knockout mice have developed into routine tools to analyze the role of specific genes in behavior. Both strategies have limitations like the availability of inhibitors for only a subset of proteins and the large efforts required to construct specific mouse mutants. The recent emergence of RNA interference (RNAi)-mediated gene silencing provides a fast alternative that can be applied to any coding gene. We established an approach for the efficient generation of transgenic knockdown mice by targeted insertion of short hairpin (sh) RNA vectors into a defined genomic locus and studied the efficiency of gene silencing in the adult brain and the utility of such mice for behavioral analysis. We generated shRNA knockdown mice for the corticotropin-releasing hormone receptor type 1 (Crhr1), the leucine-rich repeat kinase 2 (Lrkk2) and the purinergic receptor P2X ligand-gated ion channel 7 (P2rx7) genes and show the ubiquitous expression of shRNA and efficient suppression of the target mRNA and protein in the brain of young and 11-month-old knockdown mice. Knockdown mice for the Crhr1 gene exhibited decreased anxiety-related behavior, an impaired stress response, and thereby recapitulate the phenotype of CRHR1 knockout mice. Our results show the feasibility of gene silencing in the adult brain and validate knockdown mice as new genetic models suitable for behavioral analysis.

  14. Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior.

    Science.gov (United States)

    Dumitrescu, Alexandrina L; Wagle, Madhu; Dogaru, Beatrice C; Manolescu, Bogdan

    2011-09-01

    The aim of this study was to test the efficiency of an extended model of the theory of planned behavior (TPB) in predicting intention to improve oral health behaviors. The participants in this cross-sectional study were 153 first-year medical students (mean age 20.16, 50 males and 103 females) who completed a questionnaire assessing intentions, attitudes, subjective norms, perceived behavioral control, oral health knowledge, and current oral hygiene behaviors. Attitudes toward oral health behaviors and perceived behavioral control contributed to the model for predicting intention, whereas subjective norms did not. Attitudes toward oral health behaviors were slightly more important than perceived behavioral control in predicting intention. Oral health knowledge significantly affected affective and cognitive attitudes, while current behavior was not a significant predictor of intention to improve oral health behavior. The model had a slightly better fit among females than among males, but was similar for home and professional dental health care. Our findings revealed that attitude, perceived behavioral control, and oral health knowledge are predictors of intention to improve oral health behaviors. These findings may help both dentists and dental hygienists in educating patients in oral health and changing patients' oral hygiene habits.

  15. A Data Flow Behavior Constraints Model for Branch Decisionmaking Variables

    Directory of Open Access Journals (Sweden)

    Lu Yan

    2012-06-01

    Full Text Available In order to detect the attacks to decision-making variable, this paper presents a data flow behavior constraint model for branch decision-making variables. Our model is expanded from the common control flow model, itemphasizes on the analysis and verification about the data flow for decision-making variables, so that to ensure the branch statement can execute correctly and can also detect the attack to branch decision-making variableeasily. The constraints of our model include the collection of variables, the statements that the decision-making variables are dependent on and the data flow constraint with the use-def relation of these variables. Our experimental results indicate that it is effective in detecting the attacks to branch decision-making variables as well as the attacks to control-data.

  16. Characterization of Models for Time-Dependent Behavior of Soils

    DEFF Research Database (Denmark)

    Liingaard, Morten; Augustesen, Anders; Lade, Poul V.

    2004-01-01

      Different classes of constitutive models have been developed to capture the time-dependent viscous phenomena ~ creep, stress relaxation, and rate effects ! observed in soils. Models based on empirical, rheological, and general stress-strain-time concepts have been studied. The first part...... is a review of the empirical relations, which apply only to problems of specific boundary conditions and frequently involve natural time alone. The second part deals with different rheological models used for describing the viscous effects in the field of solid mechanics. The rheological models are typically...... developed for metals and steel but are, to some extent, used to characterize time effects in geomaterials. The third part is a review of constitutive laws that describe not only viscous effects but also the inviscid ( rate-independent) behavior of soils, in principle, under any possible loading condition...

  17. Heterogeneous individuals' behavioral biases model and numerical simulation

    Institute of Scientific and Technical Information of China (English)

    ZHANG Da-yong; LIANG Guo-wei

    2010-01-01

    A model of the relationships between individual cognitive biases and individual decision-making based on the analysis of cognitive biases of bonded rationality individual,has been established in this paper by introducing a set of new variables callod overconfidence coefficient and attribution bias coefficient to the sentiment model.The irrational expectation and irrational risk aversion as two inseparable aspects of bonded rationality are expressed in an unified model,and a method of measuring individual cognitive biases is proposed,which overcomes the shortcomings of traditional normative models that can not describe the differences of behaviors among heterogeneous individuals.As a result,numerical simulations show that individual cognitive risk is a positive interaction with overconfidence coefficient,and a negative interaction with attribution bias coefficient.

  18. Viscoelastoplastic constitutive model for creep deformation behavior of asphalt sand

    Institute of Scientific and Technical Information of China (English)

    叶永; 杨新华; 陈传尧

    2008-01-01

    A uniaxial viscoelastoplastic model that can describe whole creep behaviors of asphalt sand at different temperatures was presented.The model was composed of three submodels in series,which describe elastoplastic,viscoelastic and viscoplastic characteristics respectively.The constitutive equation was established for uniaxial loading condition,and the creep representation was also obtained.The constitutive parameters were determined by uniaxial compression tests under controlled-stress of 0.1 MPa with five different test temperatures of 20,40,45,50 and 60 ℃.Expressions of the model parameters in terms of temperatures were also given.The model gave prediction at various temperatures consistent with the experimental results,and can reflect the total deformation characterization of asphalt sands.

  19. Schooling and a "Blamable Desire for Knowledge"

    Science.gov (United States)

    Clabaugh, Gary K.

    2005-01-01

    As a teacher the author often wishes that his students were more curious. Yet, Alice Ramos (this issue) proposes that curiosity can be a vice. She writes that there are times when a student might be motivated by a "blamable desire for knowledge." Ramos bases this claim on a distinction made by Thomas Aquinas, the thirteenth-century Aristotelian…

  20. Social Desirability Scales: More Substance than Style.

    Science.gov (United States)

    McCrae, Robert R.; Costa, Paul T., Jr.

    1983-01-01

    Compared self-reports from 215 adults to the external criterion of spouse ratings of personality traits to separate substance from style in social desirability (SD) scales. Results showed that correcting self-reports for SD failed to improve correspondence with an external, objective criterion and in several cases lowered agreement. (LLL)

  1. The Social Desirability of Social Value Orientations

    NARCIS (Netherlands)

    Bekkers, René

    2001-01-01

    To what degree are social value orientations as measured by decomposed games vulnerable to social desirability concerns? In contrast to prior research (Platow, 1994), this study, using a large scale survey in The Netherlands (n=450), shows that respondents classified as ‘prosocial’ agree more often

  2. Economic Soft Landing:A Common Desir

    Institute of Scientific and Technical Information of China (English)

    LUOYUANJUN

    2005-01-01

    An economic soft landing refers to steady deceleration of an overheated economy to a mole moderate rate of growth. As such, it may appear to relate to government macro,adjustmentrrather than the desire of the common people. But its effect is one of cooling down fleree economic growth that exerts high pressure on daily life and is, therefore, of social benefif.

  3. The Body Drawn Between Knowledge and Desire

    Directory of Open Access Journals (Sweden)

    J. Kent Fitzsimons

    2014-08-01

    Full Text Available The architectural drawing brings together two aspects of architecture’s inescapable relationship with the human body: knowledge and desire. When Adolf Loos designed the never built Josephine Baker House (1928, his drawings mobilized and transmitted knowledge of the human body in general. At the same time, Loos deployed architectural means to express desire for the dancer’s body. The sections and plans suggest that the Viennese architect imagined Baker swimming in a pool whose submerged walls include large windows looking into the watery stage, enveloping the dancer’s body while putting it on display for guests.Considered more generally, the architectural drawing always contains these two bodily moments, insofar as it describes proposals that give form to the lived world. This dynamic couple in the drawing corresponds to the difference between touching the body and grasping it; between an architect pursuing the desire to affect others through their senses and an architectural discipline extending its knowledge of human existence. This article considers relevant aspects in the writings of Robin Evans, Michel Foucault, Michel de Certeau, William T. Mitchell, and Jean-Luc Nancy to develop a theoretical basis for understanding the tensions and alliances at play when architecture draws the body between knowledge and desire.

  4. Predicting Adolescent Sexual and Contraceptive Behavior: An Application and Test of the Fishbein Model.

    Science.gov (United States)

    Jorgensen, Stephen R.; Sonstegard, Janet S.

    1984-01-01

    Presents a test of the Fishbein model of behavior prediction applied to predict the pregnancy risk-taking behavior of adolescent females (N=244). Analyses of data showed that the Fishbein model of attitude-behavior consistency seems to be applicable to the fertility-related behavior of adolescent females. (LLL)

  5. A New Model for the Collective Behavior of Animals

    CERN Document Server

    Nguyen, P The; Diep, H T

    2015-01-01

    We propose a new model in order to study behaviors of self-organized system such as a group of animals. We assume that the individuals have two degrees of freedom corresponding one to their internal state and the other to their external state. The external state is characterized by its moving orientation. The rule of the interaction between the individuals is determined by the internal state which can be either in the non-excited state or in the excited state. The system is put under a source of external perturbation called "noise". To study the behavior of the model with varying noise, we use the Monte-Carlo simulation technique. The result clearly shows two first-order transitions separating the system into three phases: with increasing noise, the system undergoes a phase transition from a frozen dilute phase to an ordered compact phase and then to the disordered dispersed phase. These phases correspond to behaviors of animals: uncollected state at low noise, flocking at medium noise and runaway at high noi...

  6. Modeling influences of dopamine on synchronization behavior of striatum.

    Science.gov (United States)

    Çakir, Yüksel

    2017-10-06

    A network model of striatum that comprises medium spiny neurons (MSNs) and fast spiking interneurons (FSIs) is constructed following the work of Humphries et al. (2009). The dynamic behavior of striatum microcircuit is investigated using a dopamine-modulated modified Izhikevich neuron model. The influences of dopamine on the synchronization behavior of the striatal microcircuit and the dependence on receptor type are investigated with and without time delay. To investigate the role of two types of dopamine receptors, D1 and D2, on the overall activity of the striatum microcircuit, the activities of two groups are considered as disconnected and connected. When the connection exists between D1 and D2 sub-networks with zero dopamine and time delay, neuronal activity decreases because of an inhibitory effect of the connected neurons of the other sub-network. In the presence of dopamine, an increase in the activity of D1 type MSNs and quiescent behavior of D2 type MSNs are observed when the time delay is zero. However, the diversity in synchronization of D1 and D2 type MSNs is observed for different synaptic time delays and synaptic strengths in the case that dopamine is present.

  7. Mimetic desire and scapegoat mechanism in sport

    Directory of Open Access Journals (Sweden)

    Jernej Pisk

    2012-12-01

    Full Text Available BACKGROUND: The most fundamental question about sport is what is sport, what is its origin and its essence? Because sport is connected with the human being (there is no sport without human beings different anthropological visions of human being result in different understandings of sport. OBJECTIVE: The objective of this paper is to present and explain an anthropological vision of the human being and society as was developed by René Girard. In his view mimetic desire and the scapegoat mechanism have a central role in any culture, religion or other secular institutions. The explanatory power of his theory is presented when it is applied to the world of sport. METHODS: Our methodology is philosophical, involving conceptual analysis and the application of the outcomes to sport. RESULTS: In the paper we show that mimetic desire can be recognized as one of the important origins of recreational and competitive sports. When people recognize what other people are able to do or accomplish in sport this invokes the mimetic desire as a result of which motivation for sport and competiveness can arise. But mimetic rivalry leads to an unstable situation. Therefore a second element is needed: Scapegoating in sport is presented as a mean to preserve the good reputation of sport, to keep peace in sport as well as in society as a whole. Finally, the attempt to overcome mimetic desire and scapegoating in sport is presented and the question if this is worth trying at all is opened. CONCLUSIONS: The theories of mimetic desire and scapegoat mechanism have great explanatory power when they are applied to the field of sport. They could reveal us some hidden motives and forces which drive athletes and sport as a whole. Moreover, they exceed the world of sport and reveal the influence of sport on the whole of society.

  8. Gauss-Bonnet modified gravity models with bouncing behavior

    Science.gov (United States)

    Escofet, Anna; Elizalde, Emilio

    2016-06-01

    The following issue is addressed: How the addition of a Gauss-Bonnet term (generically coming from most fundamental theories, as string and M theories), to a viable model, can change the specific properties, and even the physical nature, of the corresponding cosmological solutions? Specifically, brand new original dark energy models are obtained in this way with quite interesting properties, which exhibit, in a unified fashion, the three distinguished possible cosmological phases corresponding to phantom matter, quintessence and ordinary matter, respectively. A model, in which the equation of state (EoS) parameter, w, is a function of time, is seen to lead either to a singularity of the Big Rip kind or to a bouncing solution which evolves into a de Sitter universe with w = -1. Moreover, new Gauss-Bonnet modified gravity models with bouncing behavior in the early stages of the universe evolution are obtained and tested for the validity and stability of the corresponding solutions. They allow for a remarkably natural, unified description of a bouncing behavior at early times and accelerated expansion at present.

  9. Modeling and evaluating user behavior in exploratory visual analysis

    Energy Technology Data Exchange (ETDEWEB)

    Reda, Khairi; Johnson, Andrew E.; Papka, Michael E.; Leigh, Jason

    2016-10-01

    Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, however, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This paper presents a methodology for modeling and evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis, and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.

  10. Gauss-Bonnet modified gravity models with bouncing behavior

    CERN Document Server

    Escofet, Anna

    2015-01-01

    After a short review of the state of the art in Gauss-Bonnet modified gravity, several illustrative examples are introduced and a few original dark energy models with quite interesting properties are discussed which exhibit, in a unified way, the three distinguished possible cosmological phases corresponding to phantom matter, quintessence, and ordinary matter, respectively. A model, in which the equation of state parameter, $w$, is a function of time is seen to lead either to a singularity of the Big Rip kind or to a bouncing solution which evolves into a de Sitter universe with $w=-1$. Gauss-Bonnet modified gravity models with bouncing behavior in the early stages of the universe evolution are found and tested for the validity and stability of the corresponding solutions. They allow for a unified description of a bouncing behavior at early times and the accelerated expansion at present which, as a consequence, may be explained by means of a dark energy model inspired by fundamental physics (string theory) a...

  11. Getting the desired candidate: an exploration of the covert strategies.

    Science.gov (United States)

    Dhar, Rajib Lochan

    2014-01-01

    Many people across the world believe that employment decisions are based on merit, on factors related to job knowledge, skills or abilities. People believe that decisions are biased or discriminatory if based on demographic criteria such as gender, race, caste, community, creed etc… unrelated to the job. The aim of this study is to explore the covert motives that might exist amongst senior managers when recruiting their desired candidates. Sixty senior managers belonging to two international corporations based in western India participated. Using the Theory of Planned Behavior as the theoretical foundation qualitative data was obtained through in-depth interviews with the sixty participants and analyzed using content analysis. Content analysis based on the Theory of Planned Behavior revealed five main strategies of covert recruitment practices: fulfilling vested interests, obligation creation, cultural bias, mirror reflection and status enhancement. The research findings indicate that 25% of those interviewed used premeditated strategies when recruiting their desired candidates which they concealed from coworkers. However in order to generalize the findings of the present study, a study with a larger sample size across different industries need to be done. Covert actions were central to employee recruitment in these settings and are likely fundamental to a more complete understanding of managers' recruitment behaviors beyond the context of this study.

  12. Formal Behavior Modeling: Business Processes Based on Cloud Platform

    Directory of Open Access Journals (Sweden)

    Bo Huang

    2013-06-01

    Full Text Available From a macro level, cloud computing is gathering all the distributed resources originally, and then provided them as a service to the users. Current research focuses the cloud architecture and local small-scale grid computing mainly. The researchers are ignoring to provide a channel to help users to understand the business processes of the entire platform. This article focuses the communication and business links and abstracts them into business processes behaviors. At the same time, this article provides a modeling method to help these behaviors being visual depiction at the initial design of the cloud computing. We combine the SOA architecture and cloud computing together. At last the transferring and the dynamic processing of the service\\data of the business processes can be shown to the stakeholders to verify whether the cloud platform was meeting their requirements which are regarded as simulation of cloud services.

  13. Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

    CERN Document Server

    Carlson, Jean M; Stromberg, Sean P; Bassett, Danielle S; Craparo, Emily M; Gutierrez-Villarreal, Francisco; Otani, Thomas

    2013-01-01

    Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In each scenario, individuals are faced with a forced "go" versus "no go" evacuation decision, based on information available on competing broadcast and peer-to-peer sources. In this controlled setting, all actions and observations are recorded prior to the decision, enabling development of a quantitative decision making model that accounts for the disaster likelihood, severity, and temporal urgency, as well as competition between networked individuals for limited emergency resources. Individual differences in behavior within this social setting are correlated with individual differences in inh...

  14. Modeling thermal-mechanical behavior of networks with reconfigurable crosslinks

    Science.gov (United States)

    Yang, Jeh-Chang; Meng, Yuan; Anthamatten, Mitchell

    Actively moving polymers nearly always involve the storage or release of mechanical energy using external stimuli. Thermomechanical experiments were conducted on well-defined chemical networks bearing both permanent and light-reconfigurable covalent junctions. Experimental data include stress relaxation and mechanical creep during photoinduced network reconfiguration as well as equilibrium stress-strain behavior of reprogrammed networks. Physical models of elastic networks were applied to describe thermomechanical behavior during and after bond re-formation while under external stress. The role of dangling ends in influencing competitive network mechanics is evaluated to explain observed phenomena and discrepancies between theory and data. Understanding how process path is related to the equilibrium thermomechanics of such reprogrammed networks is important to engineering shape actuator driven by crystallization. Nsf ECCS-1530540.

  15. Modeling of the flexural behavior of ceramic-matrix composites

    Science.gov (United States)

    Kuo, Wen-Shyong; Chou, Tsu-Wei

    1990-01-01

    This paper examines the effects of matrix cracking and fiber breakage on the flexural behavior of ceramic composite beams. A model has been proposed to represent the damage evolution of the beam, of which the matrix fracture strain is smaller than that of the fibers. Close form solutions of the critical loads for the initiation of matrix cracking and fiber breakage in the tension side of the beam have been found. The effects of thermal residual stresses and fiber/matrix debonding have been taken into account. The initial deviation of the load-deflection curve from linearity is due to matrix cracking, while fiber breakages are responsible for the drop in the load carrying capacity of the beam. The proportional limit as well as the nonlinear behavior of the beam deflection have been identified. The growth of the damaged zone has also been predicted. A three-point bending case is given as a numerical example.

  16. Monitoring and modeling the soil hydraulic behavior in stony soils

    Science.gov (United States)

    Dragonetti, Giovanna; Lamaddalena, Nicola; Comegna, Alessandro; Coppola, Antonio

    2014-05-01

    Describing the soil hydrological behavior at applicative scales remains a complex task, mainly because of the spatial heterogeneity of the vadose zone. Addressing the impact of the unsaturated zone heterogeneity involves measuring and/or modeling water content evolution with fine spatial and temporal resolution. The presence of stones introduces difficulties for both the measurement of the water content and the soil hydraulic properties. In this context, the main objective of this study was to assess the role of stones on TDR-based water content measurements, as well as on the pattern of variability of simulated water contents at field-scale during water infiltration, drainage and evaporation processes. Also, the role of stones was evaluated as one possible explanation of the differences frequently observed between the measured hydraulic behavior and that estimated by using pedotransfer functions.

  17. The pain of pain: challenges of animal behavior models.

    Science.gov (United States)

    Barrett, James E

    2015-04-15

    Berend Olivier has had a long-standing interest in the utility of animal models for a wide variety of therapeutic indications. His work has spanned multiple types of models, blending ethological, or species typical and naturalistic behaviors, along with methodologies based on learned behavior. He has consistently done so, from an analytical as well as predictive perspective, and has made multiple contributions while working in both the pharmaceutical industry and within an academic institution. Although focused primarily on psychiatric disorders, Berend has conducted research in the area of pain in humans and in animals, demonstrating an expansive appreciation for the breadth, scope and significance of the science and applications of the discipline of pharmacology to these diverse areas. This review focuses on the use of animal models in pain research from the perspective of the long-standing deficiencies in the development of therapeutics in this area and from a preclinical perspective where the translational weaknesses have been quite problematic. The challenges confronting animal models of pain, however, are not unique to this area of research, as they cut across several therapeutic areas. Despite the deficiencies, failures and concerns, existing animal models of pain continue to be of widespread use and are essential to progress in pain research as well as in other areas. Although not focusing on specific animal models of pain, this paper seeks to examine general issues facing the use of these models. It does so by exploring alternative approaches which capture recent developments, which build upon principles and concepts we have learned from Berend's contributions, and which provide the prospect of helping to address the absence of novel therapeutics in this area.

  18. THM Model Validation: Integrated Assessment of Measured and Predicted Behavior

    Energy Technology Data Exchange (ETDEWEB)

    Blair, S C; Carlson, S R; Wagoner, J; Wagner, R; Vogt, T

    2001-10-10

    This paper presents results of coupled thermal-hydrological-mechanical (THM) simulations of two field-scale tests that are part of the thermal testing program being conducted by the Yucca Mountain Site Characterization Project. The two tests analyzed are the Drift-Scale Test (DST) which is sited in an alcove of the Exploratory Studies Facility at Yucca Mountain, Nevada, and the Large Block Test (LBT) which is sited at Fran Ridge, near Yucca Mountain, Nevada. Both of these tests were designed to investigate coupled thermal-mechanical-hydrological-chemical (TMHC) behavior in a fractured, densely welded ash-flow tuff. The geomechanical response of the rock mass forming the DST and the LBT is analyzed using a coupled THM model. A coupled model for analysis of the DST and LBT has been formulated by linking the 3DEC distinct element code for thermal-mechanical analysis and the NUFT finite element code for thermal-hydrologic analysis. The TH model (NUFT) computes temperatures at preselected times using a model that extends from the surface to the water table. The temperatures computed by NUFT are input to 3DEC, which then computes stresses and deformations. The distinct element method was chosen to permit the inclusion of discrete fractures and explicit modeling of fracture deformations. Shear deformations and normal mode opening of fractures are expected to increase fracture permeability and thereby alter thermal hydrologic behavior in these tests. We have collected fracture data for both the DST and the LBT and have used these data in the formulation of the model of the test. This paper presents a brief discussion of the model formulation, along with comparison of simulated and observed deformations at selected locations within the tests.

  19. The SEM Risk Behavior (SRB) Model: A New Conceptual Model of how Pornography Influences the Sexual Intentions and HIV Risk Behavior of MSM.

    Science.gov (United States)

    Wilkerson, J Michael; Iantaffi, Alex; Smolenski, Derek J; Brady, Sonya S; Horvath, Keith J; Grey, Jeremy A; Rosser, B R Simon

    2012-01-01

    While the effects of sexually explicit media (SEM) on heterosexuals' sexual intentions and behaviors have been studied, little is known about the consumption and possible influence of SEM among men who have sex with men (MSM). Importantly, conceptual models of how Internet-based SEM influences behavior are lacking. Seventy-nine MSM participated in online focus groups about their SEM viewing preferences and sexual behavior. Twenty-three participants reported recent exposure to a new behavior via SEM. Whether participants modified their sexual intentions and/or engaged in the new behavior depended on three factors: arousal when imagining the behavior, pleasure when attempting the behavior, and trust between sex partners. Based on MSM's experience, we advance a model of how viewing a new sexual behavior in SEM influences sexual intentions and behaviors. The model includes five paths. Three paths result in the maintenance of sexual intentions and behaviors. One path results in a modification of sexual intentions while maintaining previous sexual behaviors, and one path results in a modification of both sexual intentions and behaviors. With this model, researchers have a framework to test associations between SEM consumption and sexual intentions and behavior, and public health programs have a framework to conceptualize SEM-based HIV/STI prevention programs.

  20. Predictors of safer sex intentions and protected sex among heterosexual HIV-negative methamphetamine users: an expanded model of the Theory of Planned Behavior.

    Science.gov (United States)

    Mausbach, Brent T; Semple, Shirley J; Strathdee, Steffanie A; Patterson, Thomas L

    2009-01-01

    The purpose of this study was to test a version of the Theory of Planned Behavior (TPB) for predicting safe sex behavior in a sample of 228 HIV-negative heterosexual methamphetamine users. We hypothesized that, in addition to TPB constructs, participants' amount of methamphetamine use and desire to stop unsafe sex behaviors would predict intentions to engage in safer sex behaviors. In turn, we predicted that safer sex intentions would be positively correlated with participants' percentage of protected sex. Hierarchical linear regression indicated that 48% of the total variance in safer sex intentions was predicted by our model, with less negative attitudes toward safer sex, greater normative beliefs, greater control beliefs, less methamphetamine use, less intent to have sex, and greater desire to stop unsafe sex emerging as significant predictors of greater safer sex intentions. Safer sex intentions were positively associated with future percent protected sex (p<0.05). These findings suggest that, among heterosexual methamphetamine users, the TPB is an excellent model for predicting safer sex practices in this population, as are some additional factors (e.g., methamphetamine use). Effective interventions for increasing safer sex practices in methamphetamine user will likely include constructs from this model with augmentations to help reduce methamphetamine use.

  1. Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

    Science.gov (United States)

    Thomas, Michael S C; Forrester, Neil A; Ronald, Angelica

    2016-01-01

    In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such associations can be detected despite the remoteness of these levels of description, and the fact that behavior is the outcome of an extended developmental process involving interaction of the whole organism with a variable environment. Given that they have been detected, how do such associations inform cognitive-level theories? To investigate this question, we employed a multiscale computational model of development, using a sample domain drawn from the field of language acquisition. The model comprised an artificial neural network model of past-tense acquisition trained using the backpropagation learning algorithm, extended to incorporate population modeling and genetic algorithms. It included five levels of description-four internal: genetic, network, neurocomputation, behavior; and one external: environment. Since the mechanistic assumptions of the model were known and its operation was relatively transparent, we could evaluate whether cross-level associations gave an accurate picture of causal processes. We established that associations could be detected between artificial genes and behavioral variation, even under polygenic assumptions of a many-to-one relationship between genes and neurocomputational parameters, and when an experience-dependent developmental process interceded between the action of genes and the emergence of behavior. We evaluated these associations with respect to their specificity (to different behaviors, to function vs. structure), to their developmental stability, and to their replicability, as well as considering issues of missing heritability and gene-environment interactions. We argue that gene-behavior

  2. Modeling the deformation behavior of nanocrystalline alloy with hierarchical microstructures

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Hongxi; Zhou, Jianqiu, E-mail: zhouj@njtech.edu.cn [Nanjing Tech University, Department of Mechanical Engineering (China); Zhao, Yonghao, E-mail: yhzhao@njust.edu.cn [Nanjing University of Science and Technology, Nanostructural Materials Research Center, School of Materials Science and Engineering (China)

    2016-02-15

    A mechanism-based plasticity model based on dislocation theory is developed to describe the mechanical behavior of the hierarchical nanocrystalline alloys. The stress–strain relationship is derived by invoking the impeding effect of the intra-granular solute clusters and the inter-granular nanostructures on the dislocation movements along the sliding path. We found that the interaction between dislocations and the hierarchical microstructures contributes to the strain hardening property and greatly influence the ductility of nanocrystalline metals. The analysis indicates that the proposed model can successfully describe the enhanced strength of the nanocrystalline hierarchical alloy. Moreover, the strain hardening rate is sensitive to the volume fraction of the hierarchical microstructures. The present model provides a new perspective to design the microstructures for optimizing the mechanical properties in nanostructural metals.

  3. Modeling human behavior in economics and social science.

    Science.gov (United States)

    Dolfin, M; Leonida, L; Outada, N

    2017-06-29

    The complex interactions between human behaviors and social economic sciences is critically analyzed in this paper in view of possible applications of mathematical modeling as an attainable interdisciplinary approach to understand and simulate the aforementioned dynamics. The quest is developed along three steps: Firstly an overall analysis of social and economic sciences indicates the main requirements that a contribution of mathematical modeling should bring to these sciences; subsequently the focus moves to an overview of mathematical tools and to the selection of those which appear, according to the authors bias, appropriate to the modeling; finally, a survey of applications is presented looking ahead to research perspectives. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Energy based model for temperature dependent behavior of ferromagnetic materials

    Science.gov (United States)

    Sah, Sanjay; Atulasimha, Jayasimha

    2017-03-01

    An energy based model for temperature dependent anhysteretic magnetization curves of ferromagnetic materials is proposed and benchmarked against experimental data. This is based on the calculation of macroscopic magnetic properties by performing an energy weighted average over all possible orientations of the magnetization vector. Most prior approaches that employ this method are unable to independently account for the effect of both inhomogeneity and temperature in performing the averaging necessary to model experimental data. Here we propose a way to account for both effects simultaneously and benchmark the model against experimental data from 5 K to 300 K for two different materials in both annealed (fewer inhomogeneities) and deformed (more inhomogeneities) samples. This demonstrates that this framework is well suited to simulate temperature dependent experimental magnetic behavior.

  5. Does social desirability compromise self-reports of physical activity in web-based research?

    Directory of Open Access Journals (Sweden)

    Göritz Anja S

    2011-04-01

    Full Text Available Abstract Background This study investigated the relation between social desirability and self-reported physical activity in web-based research. Findings A longitudinal study (N = 5,495, 54% women was conducted on a representative sample of the Dutch population using the Marlowe-Crowne Scale as social desirability measure and the short form of the International Physical Activity Questionnaire. Social desirability was not associated with self-reported physical activity (in MET-minutes/week, nor with its sub-behaviors (i.e., walking, moderate-intensity activity, vigorous-intensity activity, and sedentary behavior. Socio-demographics (i.e., age, sex, income, and education did not moderate the effect of social desirability on self-reported physical activity and its sub-behaviors. Conclusions This study does not throw doubt on the usefulness of the Internet as a medium to collect self-reports on physical activity.

  6. Does social desirability compromise self-reports of physical activity in web-based research?

    Science.gov (United States)

    Crutzen, Rik; Göritz, Anja S

    2011-04-14

    This study investigated the relation between social desirability and self-reported physical activity in web-based research. A longitudinal study (N = 5,495, 54% women) was conducted on a representative sample of the Dutch population using the Marlowe-Crowne Scale as social desirability measure and the short form of the International Physical Activity Questionnaire. Social desirability was not associated with self-reported physical activity (in MET-minutes/week), nor with its sub-behaviors (i.e., walking, moderate-intensity activity, vigorous-intensity activity, and sedentary behavior). Socio-demographics (i.e., age, sex, income, and education) did not moderate the effect of social desirability on self-reported physical activity and its sub-behaviors. This study does not throw doubt on the usefulness of the Internet as a medium to collect self-reports on physical activity.

  7. Modeling Stochastic Route Choice Behaviors with Equivalent Impedance

    Directory of Open Access Journals (Sweden)

    Jun Li

    2015-01-01

    Full Text Available A Logit-based route choice model is proposed to address the overlapping and scaling problems in the traditional multinomial Logit model. The nonoverlapping links are defined as a subnetwork, and its equivalent impedance is explicitly calculated in order to simply network analyzing. The overlapping links are repeatedly merged into subnetworks with Logit-based equivalent travel costs. The choice set at each intersection comprises only the virtual equivalent route without overlapping. In order to capture heterogeneity in perception errors of different sizes of networks, different scale parameters are assigned to subnetworks and they are linked to the topological relationships to avoid estimation burden. The proposed model provides an alternative method to model the stochastic route choice behaviors without the overlapping and scaling problems, and it still maintains the simple and closed-form expression from the MNL model. A link-based loading algorithm based on Dial’s algorithm is proposed to obviate route enumeration and it is suitable to be applied on large-scale networks. Finally a comparison between the proposed model and other route choice models is given by numerical examples.

  8. A computational model that predicts behavioral sensitivity to intracortical microstimulation

    Science.gov (United States)

    Kim, Sungshin; Callier, Thierri; Bensmaia, Sliman J.

    2017-02-01

    Objective. Intracortical microstimulation (ICMS) is a powerful tool to investigate the neural mechanisms of perception and can be used to restore sensation for patients who have lost it. While sensitivity to ICMS has previously been characterized, no systematic framework has been developed to summarize the detectability of individual ICMS pulse trains or the discriminability of pairs of pulse trains. Approach. We develop a simple simulation that describes the responses of a population of neurons to a train of electrical pulses delivered through a microelectrode. We then perform an ideal observer analysis on the simulated population responses to predict the behavioral performance of non-human primates in ICMS detection and discrimination tasks. Main results. Our computational model can predict behavioral performance across a wide range of stimulation conditions with high accuracy (R 2 = 0.97) and generalizes to novel ICMS pulse trains that were not used to fit its parameters. Furthermore, the model provides a theoretical basis for the finding that amplitude discrimination based on ICMS violates Weber’s law. Significance. The model can be used to characterize the sensitivity to ICMS across the range of perceptible and safe stimulation regimes. As such, it will be a useful tool for both neuroscience and neuroprosthetics.

  9. Modeling the behavioral substrates of associate learning and memory - Adaptive neural models

    Science.gov (United States)

    Lee, Chuen-Chien

    1991-01-01

    Three adaptive single-neuron models based on neural analogies of behavior modification episodes are proposed, which attempt to bridge the gap between psychology and neurophysiology. The proposed models capture the predictive nature of Pavlovian conditioning, which is essential to the theory of adaptive/learning systems. The models learn to anticipate the occurrence of a conditioned response before the presence of a reinforcing stimulus when training is complete. Furthermore, each model can find the most nonredundant and earliest predictor of reinforcement. The behavior of the models accounts for several aspects of basic animal learning phenomena in Pavlovian conditioning beyond previous related models. Computer simulations show how well the models fit empirical data from various animal learning paradigms.

  10. Individual Differences in Participations of a Brand Community: A Validation of the Goal-Directed Behavior Model

    Directory of Open Access Journals (Sweden)

    Badri Munir Sukoco

    2011-10-01

    Full Text Available Previous studies have been neglected the behavior of the owners who are non-members when discussing brand community (BC, even though they are substantially larger. This study purposely discuss what are the differences between the two by using model of goal directed behavior (MGB and uses the findings as a way to recruit non-members in BC activities. This study also proposes some refinements to the original concept of MGB. This survey-based study, conducted with 201 active members and 226 non-members of a motor club in Indonesia, employs structural equation modeling methodology which supports the proposed model. The findings suggest that non-members have a stronger effect of positive anticipated emotions on attitude and desire to participate, which could be the starting point for marketers to recruit them. While for non-members, the perceived behavioral control and attitude toward BC activities have greater effects. The findings and discussion lead to some managerial and research implications.

  11. Modeling Pacing Behavior and Test Speededness Using Latent Growth Curve Models

    Science.gov (United States)

    Kahraman, Nilufer; Cuddy, Monica M.; Clauser, Brian E.

    2013-01-01

    This research explores the usefulness of latent growth curve modeling in the study of pacing behavior and test speededness. Examinee response times from a high-stakes, computerized examination, collected before and after the examination was subjected to a timing change, were analyzed using a series of latent growth curve models to detect…

  12. Enrollment, Childbearing Motivations, and Intentions of Couples in the Creighton Model Effectiveness, Intentions, and Behaviors Assessment (CEIBA Study

    Directory of Open Access Journals (Sweden)

    Joseph B. Stanford

    2017-09-01

    Full Text Available ContextThe Creighton Model FertilityCareTM System (CrM is a standardized approach for educating women about the biomarkers of their fertility. Couples can use this information for timing intercourse during “fertile” or “infertile” days in order to try to conceive or to avoid pregnancy.ObjectivesThe study of Creighton Model Effectiveness, Intentions, and Behaviors Assessment (CEIBA was conducted to assess fertility motivations, intentions, fertility-related sexual behaviors, and their impact on effectiveness to avoid and to conceive among new users of the CrM. This paper reports enrollment baseline characteristics.Settings and designWe conducted this prospective cohort study at 17 CrM FertilityCareTM Centers; 16 in the USA and one in Toronto, Canada.Materials and methodsCouples who were new or returning users of the CrM were eligible. Couples who were initially trying to conceive or had a history of subfertility were excluded. Couples were enrolled and followed prospectively by their CrM instructors and also by CEIBA study staff. They completed baseline questionnaires.Results1,132 new couples were assessed; 1,090 (96% couples were screened; 429 (39% couples were eligible; 305 women (71% and 290 (95% male partners were enrolled. The majority of women was engaged (39% or married (51%, college graduates (77%, Caucasian non-Hispanic (80%, and Roman Catholic (80%. The most common reasons for learning CrM (women were to use a natural method for family planning (91%, for moral/ethical/religious reasons (70%, the lack of side effects (71%, or insight into the menstrual cycle and fertility (62%. Women and men intended to have a mean of three and two additional children, respectively. Of women, 21% intended to have a child within a year and 60% between 1 and 3 years. The mean positive childbearing motivation score was 3.3 for both women and men (range 1–4, with 4 being most positive.ConclusionCouples beginning use of the CrM to avoid pregnancy

  13. Surface critical behavior of the smoothly inhomogeneous Ising model

    Science.gov (United States)

    Burkhardt, Theodore W.; Guim, Ihnsouk

    1984-01-01

    We consider a semi-infinite two-dimensional Ising model with nearest-neighbor coupling constants that deviate from the bulk coupling by Am-y for large m, m being the distance from the edge. The case ALeeuwen. We report exact results for the boundary magnetization and boundary pair-correlation function when A>0. At the bulk critical temperature there is a rich variety of critical behavior in the A -y plane with both paramagnetic and ferromagnetic surface phases. Some of our results can be derived and generalized with simple scaling arguments.

  14. Conflicts in A Streetcar Named Desire

    Institute of Scientific and Technical Information of China (English)

    禹雪含

    2014-01-01

    A conflict is a disagreement, struggle, controversy or fight which usually provides the plot for a story. It is the promi-nent element of a work and the basis for everything else included in the work of literature. In the drama A Streetcar Named Desire of Tennessee Williams, several kinds of conflicts are proficiently and artistically revealed. This paper touches on different kinds of conflicts, including those between fantasy and reality, female and male, desire and death, the exterior and inner world, the south and the north. Conflicts are of great literary importance in this play. Firstly, they function to propel the plot and create an over-arching tension. Secondly, they are used to represent themes which are applied to greater contexts. Thirdly, conflicts go through the whole play and make it a united whole.

  15. GROUP GUIDANCE SERVICES MANAGEMENT OF BEHAVIORAL TECHNIC HOMEWORK MODEL

    Directory of Open Access Journals (Sweden)

    Juhri A M.

    2013-09-01

    Full Text Available Abstract: This simple paper describes the implementation of management guidance service groups using the model home visits behavioral techniques (behavior technic homework. The ideas outlined in this paper are intended to add insight for counselors in the management of the implementation of counseling services group that carried out effectively. This simple paper is expected to be used as reference studies in theoretical matters relating to the management guidance services group, for counselors to students both need guidance services and those who passively as they face various problems difficulties martial jar and obstacles in the achievement of learning , In general, this study aims to provide insight in particular in the development of social skills for students, especially the ability to communicate with the participants of the service (students more While specifically to encourage the development of feelings, thoughts, perceptions, insights and attitudes that support embodiments behavior Iebih creative and effective in improving communication skills both verbal and non-verbal for students. Keyword: counselor, counseling, group, student

  16. Executable Behavioral Modeling of System and Software Architecture Specifications to Inform Resourcing Decisions

    Science.gov (United States)

    2016-09-01

    BEHAVIORAL MODELING OF SYSTEM- AND SOFTWARE-ARCHITECTURE SPECIFICATIONS TO INFORM RESOURCING DECISIONS by Monica F. Farah-Stapleton...REPORT DATE September 2016 3. REPORT TYPE AND DATES COVERED Doctoral Dissertation 4. TITLE AND SUBTITLE EXECUTABLE BEHAVIORAL MODELING OF SYSTEM...intellectual, programmatic, and organizational resources. Precise behavioral modeling offers a way to assess architectural design decisions prior to

  17. Reduced Order Models for Dynamic Behavior of Elastomer Damping Devices

    Science.gov (United States)

    Morin, B.; Legay, A.; Deü, J.-F.

    2016-09-01

    In the context of passive damping, various mechanical systems from the space industry use elastomer components (shock absorbers, silent blocks, flexible joints...). The material of these devices has frequency, temperature and amplitude dependent characteristics. The associated numerical models, using viscoelastic and hyperelastic constitutive behaviour, may become computationally too expensive during a design process. The aim of this work is to propose efficient reduced viscoelastic models of rubber devices. The first step is to choose an accurate material model that represent the viscoelasticity. The second step is to reduce the rubber device finite element model to a super-element that keeps the frequency dependence. This reduced model is first built by taking into account the fact that the device's interfaces are much more rigid than the rubber core. To make use of this difference, kinematical constraints enforce the rigid body motion of these interfaces reducing the rubber device model to twelve dofs only on the interfaces (three rotations and three translations per face). Then, the superelement is built by using a component mode synthesis method. As an application, the dynamic behavior of a structure supported by four hourglass shaped rubber devices under harmonic loads is analysed to show the efficiency of the proposed approach.

  18. Internal Behavioral Modeling of Embedded Systems through State Box Structures

    Directory of Open Access Journals (Sweden)

    V. Chandra Prakash

    2011-05-01

    Full Text Available Clean Room Software Engineering (CRSE methodology is intended for the development of high quality systems. The methodology is centered on three structures which include Black Box (BB, State Box (SB and Clear Box (CB and it assures high quality through implementation of Verification and Validation models at every stage of development. The models, suggested earlier, are built using the Mathematics for implementing the formalism which is needed to assure high quality. The mathematical way of implementing the formalism has been proved to be complex, unwieldy and impracticable. The Verification and Validation methods suggested are classical and do not support formalism which is the key element of CRSE. In this paper, three UML models and the associated algorithms have been proposed that help developing state box structures in more formal way and also to automate the process of generating State Box Structures. The refined CRSE model incorporating the suggested models is also presented. The models are used to develop the internal behavior of a Pilot Project called “Temperature Monitoring and Controlling of Nuclear Reactor System” (TMCNRS which is an embedded system designed in more formal and automated way.

  19. Effect of desired speed variability on highway traffic flow.

    Science.gov (United States)

    Lipshtat, Azi

    2009-06-01

    Traffic flow is a function of many natural, environmental, and human factors. Not only that weather and road condition can vary, but drivers' decisions and policies also can affect the flow. Here we analyze the effect of distribution of desired speeds. We show that a broader distribution can reduce the flow efficiency and increase congestions. Since different drivers react differently to changes in weather or road conditions, such a change leads to a change in desired speed distribution as well. As a result, nonintuitive changes in traffic flow may occur. Besides providing insight and analyzing the underlying mechanism of a collective phenomenon, this example sheds light on a fundamental aspect of computational modeling. Although "mean-field" models that deal with average values only and ignore variability are simpler and easier to analyze, they can very easily turn into oversimplifications and miss relevant qualitative phenomena.

  20. A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications.

    Science.gov (United States)

    Dong, Guangheng; Potenza, Marc N

    2014-11-01

    Cognitive contributions to the behaviors observed in substance and non-substance addictions have been investigated and characterized. Based on models of drug addictions and the extant literature on Internet gaming disorder (IGD), we propose a cognitive-behavioral model for conceptualizing IGD. The model focuses on three domains and their roles in addictive behaviors. The three domains include motivational drives related to reward-seeking and stress-reduction, behavioral control relating to executive inhibition, and decision-making that involves weighing the pros and cons of engaging in motivated behaviors. Based on this model, we propose how behavioral therapies might target these domains in the treatment of IGD.