WorldWideScience

Sample records for human behavior analysis

  1. Fractal Analysis on Human Behaviors Dynamics

    CERN Document Server

    Fan, Chao; Zha, Yi-Long

    2010-01-01

    The study of human dynamics has attracted much interest from many fields recently. In this paper, the fractal characteristic of human behaviors is investigated from the perspective of time series constructed with the amount of library loans. The Hurst exponents and length of non-periodic cycles calculated through Rescaled Range Analysis indicate that the time series of human behaviors is fractal with long-range correlation. Then the time series are converted to complex networks by visibility graph algorithm. The topological properties of the networks, such as scale-free property, small-world effect and hierarchical structure imply that close relationships exist between the amounts of repetitious actions performed by people during certain periods of time, especially for some important days. Finally, the networks obtained are verified to be not fractal and self-similar using box-counting method. Our work implies the intrinsic regularity shown in human collective repetitious behaviors.

  2. Automated regional behavioral analysis for human brain images

    National Research Council Canada - National Science Library

    Lancaster, Jack L; Laird, Angela R; Eickhoff, Simon B; Martinez, Michael J; Fox, P Mickle; Fox, Peter T

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images...

  3. The development of human behavior analysis techniques

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jung Woon; Lee, Yong Hee; Park, Geun Ok; Cheon, Se Woo; Suh, Sang Moon; Oh, In Suk; Lee, Hyun Chul; Park, Jae Chang

    1997-07-01

    In this project, which is to study on man-machine interaction in Korean nuclear power plants, we developed SACOM (Simulation Analyzer with a Cognitive Operator Model), a tool for the assessment of task performance in the control rooms using software simulation, and also develop human error analysis and application techniques. SACOM was developed to assess operator`s physical workload, workload in information navigation at VDU workstations, and cognitive workload in procedural tasks. We developed trip analysis system including a procedure based on man-machine interaction analysis system including a procedure based on man-machine interaction analysis and a classification system. We analyzed a total of 277 trips occurred from 1978 to 1994 to produce trip summary information, and for 79 cases induced by human errors time-lined man-machine interactions. The INSTEC, a database system of our analysis results, was developed. The MARSTEC, a multimedia authoring and representation system for trip information, was also developed, and techniques for human error detection in human factors experiments were established. (author). 121 refs., 38 tabs., 52 figs.

  4. Automated regional behavioral analysis for human brain images.

    Science.gov (United States)

    Lancaster, Jack L; Laird, Angela R; Eickhoff, Simon B; Martinez, Michael J; Fox, P Mickle; Fox, Peter T

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over 20 years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap's 51 behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e., uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥ 3.0 was used to designate statistically significant behavioral association. The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical (HOC) brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten "major representative" functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions.

  5. Interactive human behavior analysis in open or public spaces

    NARCIS (Netherlands)

    Hung, H.; Odobez, J.M.; Gavrila, D.M.

    2011-01-01

    In the past years, efforts in surveillance and open space analysis have focused on traditional computer vision problems like scene modeling or object detection and tracking. Research on human behavior recognition have tended to work on predefined simple activities such as running, jumping or left lu

  6. 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.

  7. Accommodating complexity and human behaviors in decision analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  8. Flexible Human Behavior Analysis Framework for Video Surveillance Applications

    Directory of Open Access Journals (Sweden)

    Weilun Lao

    2010-01-01

    Full Text Available We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research in three aspects. By adding a second camera, not only more reliable behavior analysis is possible, but it also enables to map the ongoing scene events onto a 3D setting to facilitate further semantic analysis. The second contribution is the introduction of a 3D reconstruction scheme for scene understanding. Thirdly, we perform a fast scheme to detect different body parts and generate a fitting skeleton model, without using the explicit assumption of upright body posture. The extension of multiple-view fusion improves the event-based semantic analysis by 15%–30%. Our proposed framework proves its effectiveness as it achieves a near real-time performance (13–15 frames/second and 6–8 frames/second for monocular and two-view video sequences.

  9. [Advances in the experimental analysis of behavior: issues of choice behavior, comparative cognition, and human language].

    Science.gov (United States)

    Sakagami, T; Yamamoto, J; Jitsumori, M

    1994-12-01

    As the opportunity to contact with related areas has increased, the study of of the experimental analysis of behavior has experienced revolutionary changes. Some of the most active and important areas-studies of choice, comparative cognition, and human language--are reviewed to acquaint readers. Studies of CHOICE have linked to the molar theories of behavioral economics and behavioral ecology, which promoted research of choice by animals under uncertainty conditions. Further approach has been made to integrate the molar and molecular analyses on the basis of the ideas of behavior dynamics. COMPARATIVE COGNITION is a part of a larger field including cognitive science, behavioral neuroscience, and biological science. Recent developments, aided with a comparative perspective, made significant contributions to our understanding of the phylogeny and ontogeny of cognition. Advances in analysis of human behavior provided tools to study behavioral aspects of semantics, syntax, and pragmatics of HUMAN LANGUAGE. Using the paradigm of stimulus equivalence, the emergence of stimulus relations, stimulus-stimulus networks, hierarchical structure of verbal behavior, and other language-related behaviors have been investigated.

  10. Behavioral analysis of marijuana effects on food intake in humans.

    Science.gov (United States)

    Foltin, R W; Brady, J V; Fischman, M W

    1986-09-01

    Nine male research volunteers, in three groups of three subjects each, resided in a residential laboratory for up to 25 days. All contact with the experimenter was through a networked computer system and subjects' behaviors including food intake were continuously recorded. Subjects brought their own activities such as model-making, and these in combination with those provided by the laboratory resulted in rich behavior repertoires. During the first part of the day, subjects remained in their private rooms doing planned work activities, and during the remainder of the day, they were allowed to socialize. Cigarettes containing active marijuana (1.84% THC) or placebo were smoked prior to the private work period and during the social access period. A single active marijuana cigarette prior to the private work period had no effect on food intake. The administration of two or three active marijuana cigarettes during the social access period increased average daily caloric intake. The increased intake was due to an augmentation of calories consumed as between-meal snack items rather than an increase in meal size per se.

  11. Human Behavior Analysis by Means of Multimodal Context Mining.

    Science.gov (United States)

    Banos, Oresti; Villalonga, Claudia; Bang, Jaehun; Hur, Taeho; Kang, Donguk; Park, Sangbeom; Huynh-The, Thien; Le-Ba, Vui; Amin, Muhammad Bilal; Razzaq, Muhammad Asif; Khan, Wahajat Ali; Hong, Choong Seon; Lee, Sungyoung

    2016-01-01

    There is sufficient evidence proving the impact that negative lifestyle choices have on people's health and wellness. Changing unhealthy behaviours requires raising people's self-awareness and also providing healthcare experts with a thorough and continuous description of the user's conduct. Several monitoring techniques have been proposed in the past to track users' behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user's context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels.

  12. T-pattern analysis for the study of temporal structure of animal and human behavior: a comprehensive review.

    Science.gov (United States)

    Casarrubea, M; Jonsson, G K; Faulisi, F; Sorbera, F; Di Giovanni, G; Benigno, A; Crescimanno, G; Magnusson, M S

    2015-01-15

    A basic tenet in the realm of modern behavioral sciences is that behavior consists of patterns in time. For this reason, investigations of behavior deal with sequences that are not easily perceivable by the unaided observer. This problem calls for improved means of detection, data handling and analysis. This review focuses on the analysis of the temporal structure of behavior carried out by means of a multivariate approach known as T-pattern analysis. Using this technique, recurring sequences of behavioral events, usually hard to detect, can be unveiled and carefully described. T-pattern analysis has been successfully applied in the study of various aspects of human or animal behavior such as behavioral modifications in neuro-psychiatric diseases, route-tracing stereotypy in mice, interaction between human subjects and animal or artificial agents, hormonal-behavioral interactions, patterns of behavior associated with emesis and, in our laboratories, exploration and anxiety-related behaviors in rodents. After describing the theory and concepts of T-pattern analysis, this review will focus on the application of the analysis to the study of the temporal characteristics of behavior in different species from rodents to human beings. This work could represent a useful background for researchers who intend to employ such a refined multivariate approach to the study of behavior.

  13. Humanism vs. Behaviorism

    Science.gov (United States)

    Hunter, Madeline

    1977-01-01

    Author argues that humanism and behaviorism are not necessarily exclusive of one another, and that principles of behaviorism, when thoughtfully applied, can lead to the achievement of humanistic goals. (RW)

  14. Bridging Humanism and Behaviorism.

    Science.gov (United States)

    Chu, Lily

    1980-01-01

    Humanistic behaviorism may provide the necessary bridge between behaviorism and humanism. Perhaps the most humanistic approach to teaching is to learn how certain changes will help students and how these changes can be accomplished. (Author/MLF)

  15. Positive Behavior Support and Applied Behavior Analysis

    Science.gov (United States)

    Johnston, J. M.; Foxx, R. M.; Jacobson, J. W.; Green, G.; Mulick, J. A.

    2006-01-01

    This article reviews the origins and characteristics of the positive behavior support (PBS) movement and examines those features in the context of the field of applied behavior analysis (ABA). We raise a number of concerns about PBS as an approach to delivery of behavioral services and its impact on how ABA is viewed by those in human services. We…

  16. The promises of big data and small data for travel behavior (aka human mobility) analysis.

    Science.gov (United States)

    Chen, Cynthia; Ma, Jingtao; Susilo, Yusak; Liu, Yu; Wang, Menglin

    2016-07-01

    The last decade has witnessed very active development in two broad, but separate fields, both involving understanding and modeling of how individuals move in time and space (hereafter called "travel behavior analysis" or "human mobility analysis"). One field comprises transportation researchers who have been working in the field for decades and the other involves new comers from a wide range of disciplines, but primarily computer scientists and physicists. Researchers in these two fields work with different datasets, apply different methodologies, and answer different but overlapping questions. It is our view that there is much, hidden synergy between the two fields that needs to be brought out. It is thus the purpose of this paper to introduce datasets, concepts, knowledge and methods used in these two fields, and most importantly raise cross-discipline ideas for conversations and collaborations between the two. It is our hope that this paper will stimulate many future cross-cutting studies that involve researchers from both fields.

  17. [Terrorism and human behavior].

    Science.gov (United States)

    Leistedt, S J

    2017-06-09

    Theories of religion are essential for understanding current trends in terrorist activities. The aim of this work is to clarify religion's role in facilitating terror and outline in parallel with recent theoretical developments on terrorism and human behaviour. Several databases were used such as PubCentral, Scopus, Medline and Science Direct. The search terms "terrorism", "social psychology", "religion", "evolution", and "cognition" were used to identify relevant studies in the databases. This work examines, in a multidimensional way, how terrorists employ these features of religion to achieve their goals. In the same way, it describes how terrorists use rituals to conditionally associate emotions with sanctified symbols that are emotionally evocative and motivationally powerful, fostering group solidarity, trust, and cooperation. Religious beliefs, including promised rewards in the afterlife, further serve to facilitate cooperation by altering the perceived payoffs of costly actions, including suicide bombing. The adolescent pattern of brain development is unique, and young adulthood presents an ideal developmental stage to attract recruits and enlist them in high-risk behaviors. This work offers insights, based on this translational analysis, concerning the links between religion, terrorism and human behavior. Copyright © 2017 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

  18. When Violence Pays: A Cost-Benefit Analysis of Aggressive Behavior in Animals and Humans

    Directory of Open Access Journals (Sweden)

    Alexander V. Georgiev

    2013-07-01

    Full Text Available An optimization analysis of human behavior from a comparative perspective can improve our understanding of the adaptiveness of human nature. Intra-specific competition for resources provides the main selective pressure for the evolution of violent aggression toward conspecifics, and variation in the fitness benefits and costs of aggression can account for inter-specific and inter-individual differences in aggressiveness. When aggression reflects competition for resources, its benefits vary in relation to the characteristics of the resources (their intrinsic value, abundance, spatial distribution, and controllability while its costs vary in relation to the characteristics of organisms and how they fight (which, in turn, affects the extent to which aggression entails risk of physical injury or death, energetic depletion, exposure to predation, psychological and physiological stress, or damage to social relationships. Humans are a highly aggressive species in comparison to other animals, probably as a result of an unusually high benefit-to-cost ratio for intra-specific aggression. This conclusion is supported by frequent and widespread occurrence of male-male coalitionary killing and by male-female sexual coercion. Sex differences in violent aggression in humans and other species probably evolved by sexual selection and reflect different optimal competitive strategies for males and females.

  19. Empirical analysis of collective human behavior for extraordinary events in blogosphere

    CERN Document Server

    Sano, Yukie; Watanabe, Hayafumi; Takayasu, Hideki; Takayasu, Misako

    2011-01-01

    To explain collective human behavior in blogosphere, we survey more than 1.8 billion entries and observe statistical properties of word appearance. We first estimate the basic properties of number fluctuation of ordinary words that appear almost uniformly. Then, we focus on those words that show dynamic growth with a tendency to diverge on a certain day, and also news words, that are typical keywords for natural disasters, grow suddenly with the occurrence of events and decay gradually with time. In both cases, the functional forms of growth and decay are generally approximated by power laws with exponents around -1 for a period of about 80 days. Our empirical analysis can be applied for the prediction of word frequency in blogosphere.

  20. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    NARCIS (Netherlands)

    Barban, Nicola; Jansen, Rick; De Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Ilja M.; Tragante, Vinicius; Van Der Laan, Sander W.; Perry, John R B; Kong, Augustine; Ahluwalia, Tarunveer S.; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E.; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S. Fleur W; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; Van Der Most, Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathleen A.; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; Van Duijn, Cornelia M.; De Geus, Eco J C; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans Jörgen; Greiser, Karin Halina; Groenen, Patrick J F; De Haan, Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G.; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W V; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L R; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William G.; Lai, Sandra; Lehtimäki, Terho; Liewald, David C.; Lindgren, Cecilia M.; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrikke; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; De Mutsert, Renée; Nohr, Ellen A.; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W J H; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Roy Thurik, A.; Timpson, Nicholas J.; Tung, Joyce Y.; Uitterlinden, André G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; Den Hoed, Marcel; Snieder, Harold; Mills, Melinda C.

    2016-01-01

    The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlyi

  1. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    NARCIS (Netherlands)

    Barban, Nicola; Jansen, Rick; de Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Illa M.; Tragante, Vinicius; van der Laan, Sander W.; Perry, John R. B.; Kong, Augustine; Ahluwalia, Tarunveer S.; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E.; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tonu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S. Fleur W.; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; van der Most, Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathleen-A; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Toenjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Dania V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bonnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; van Duijn, Cornelia M.; de Geus, Eco J. C.; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Joergen; Greiser, Karin Halina; Groenen, Patrick J. F.; de Haan, Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkila, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G.; Hopper, John; Hypponen, Elina; Jacobsson, Bo; Jaddoe', Vincent W. V.; Johannesson, Magnus; Kahonen, Mika; Kajantie, Eero; Kardia, Sharon L. R.; Keavney, Bernard; Kolcic, Ivana; Koponen, Paivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William G.; Lai, Sandra; Lehtimaki, Terho; Liewald, David C.; Lindgren, Cecilia M.; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K. E.; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellstrom, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; de Mutsert, Renee; Nohr, Ellen A.; Ohlsson, Claes; Olsen, Porn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W. J. H.; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Raikkonen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stockl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tung, Joyce Y.; Uitterlinden, Andre G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Voelzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; den Hoed, Marcel; Snieder, Harold; Mills, Melinda C.

    2016-01-01

    The genetic architecture of human reproductive behavior age at first birth (AFB) and number of children ever born (NEB) has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlyi

  2. A Human-Centered Smart Home System with Wearable-Sensor Behavior Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ji, Jianting; Liu, Ting; Shen, Chao; Wu, Hongyu; Liu, Wenyi; Su, Man; Chen, Siyun; Jia, Zhanpei

    2016-11-17

    Smart home has recently attracted much research interest owing to its potential in improving the quality of human life. How to obtain user's demand is the most important and challenging task for appliance optimal scheduling in smart home, since it is highly related to user's unpredictable behavior. In this paper, a human-centered smart home system is proposed to identify user behavior, predict their demand and schedule the household appliances. Firstly, the sensor data from user's wearable devices are monitored to profile user's full-day behavior. Then, the appliance-demand matrix is constructed to predict user's demand on home environment, which is extracted from the history of appliance load data and user behavior. Two simulations are designed to demonstrate user behavior identification, appliance-demand matrix construction and strategy of appliance optimal scheduling generation.

  3. The SAM framework: modeling the effects of management factors on human behavior in risk analysis.

    Science.gov (United States)

    Murphy, D M; Paté-Cornell, M E

    1996-08-01

    Complex engineered systems, such as nuclear reactors and chemical plants, have the potential for catastrophic failure with disastrous consequences. In recent years, human and management factors have been recognized as frequent root causes of major failures in such systems. However, classical probabilistic risk analysis (PRA) techniques do not account for the underlying causes of these errors because they focus on the physical system and do not explicitly address the link between components' performance and organizational factors. This paper describes a general approach for addressing the human and management causes of system failure, called the SAM (System-Action-Management) framework. Beginning with a quantitative risk model of the physical system, SAM expands the scope of analysis to incorporate first the decisions and actions of individuals that affect the physical system. SAM then links management factors (incentives, training, policies and procedures, selection criteria, etc.) to those decisions and actions. The focus of this paper is on four quantitative models of action that describe this last relationship. These models address the formation of intentions for action and their execution as a function of the organizational environment. Intention formation is described by three alternative models: a rational model, a bounded rationality model, and a rule-based model. The execution of intentions is then modeled separately. These four models are designed to assess the probabilities of individual actions from the perspective of management, thus reflecting the uncertainties inherent to human behavior. The SAM framework is illustrated for a hypothetical case of hazardous materials transportation. This framework can be used as a tool to increase the safety and reliability of complex technical systems by modifying the organization, rather than, or in addition to, re-designing the physical system.

  4. Functional Analysis and Treatment of Human-Directed Undesirable Behavior Exhibited by a Captive Chimpanzee

    Science.gov (United States)

    Martin, Allison L.; Bloomsmith, Mollie A.; Kelley, Michael E.; Marr, M. Jackson; Maple, Terry L.

    2011-01-01

    A functional analysis identified the reinforcer maintaining feces throwing and spitting exhibited by a captive adult chimpanzee ("Pan troglodytes"). The implementation of a function-based treatment combining extinction with differential reinforcement of an alternate behavior decreased levels of inappropriate behavior. These findings further…

  5. Superstitious behavior in humans.

    Science.gov (United States)

    Ono, K

    1987-05-01

    Twenty undergraduate students were exposed to single response-independent schedules of reinforcer presentation, fixed-time or variable-time, each with values of 30 and 60 s. The reinforcer was a point on a counter accompanied by a red lamp and a brief buzzer. Three color signals were presented, without consistent relation to reinforcer or to the subjects' behavior. Three large levers were available, but the subjects were not asked to perform any particular behavior. Three of the 20 subjects developed persistent superstitious behavior. One engaged in a pattern of lever-pulling responses that consisted of long pulls after a few short pulls; the second touched many things in the experimental booth; the third showed biased responding called sensory superstition. However, most subjects did not show consistent superstitious behavior. Reinforcers can operate effectively on human behavior even in the absence of a response-reinforcer contingency and can, in some cases, shape stable superstitious patterns. However, superstitious behavior is not a consistent outcome of exposure of human subjects to response-independent reinforcer deliveries.

  6. Behavior of human serum albumin on strong cation exchange resins: I. experimental analysis.

    Science.gov (United States)

    Voitl, Agnes; Butté, Alessandro; Morbidelli, Massimo

    2010-08-20

    Experiments with human serum albumin on the strong cation exchange resin Fractogel EMD SE Hicap (M) were carried out. Even though human serum albumin was used at high purity, two peaks in gradient elution experiments occurred. The obtained data can be explained by considering that human serum albumin binds to Fractogel EMD SE Hicap (M) in two different binding conformations: the protein adsorbs instantaneously in the first conformation and then changes into the second one with a kinetic limitation. The two-peak behavior of human serum albumin was analyzed in detail, especially at various gradient lengths, concentrations and temperatures. Breakthrough curves were performed at four modifier concentrations and three velocities. The characteristic adsorption behavior, found for gradient experiments, was confirmed by the breakthrough curves. The two-peak elution pattern of human serum albumin was also found for other strong cation exchange resins, but not for weak cation exchange resins. It is concluded that the described behavior is peculiar for the interaction of human serum albumin with the strong cation exchange ligand of the resin.

  7. Performance Simulation and Analysis for LTE System Using Human Behavior Queue Model

    Directory of Open Access Journals (Sweden)

    Tony Tsang

    2013-05-01

    Full Text Available Understanding the nature of traffic has been a key concern of the researchers particularly over the last two decades and it has been noticed through extensive high quality studies that traffic found in different kinds of IP/wireless IP networks is human operators . Despite the recent findings of real time human behavior in measured traffic from data networks, much of the current understanding of IP traffic modeling is still based on simplistic probability distributed traffic. Unlike most existing studies that areprimarily based on simplistic probabilistic model and traditional scheduling algorithms, this research presents an analytical performance model for real time human behavior queue systems with intelligent task management traffic input scheduled by anovel and promising scheduling mechanism for 4G -LTE system. Our proposed model is substantiated on human behavior queuing system that considers real time of traffic exhibiting homogeneous tasks characteristics. We analyze the model on the basis of newly proposed scheduling scheme for 4G - LTE system. We present closed form expressions of expected response times for real time traffic classes. We develop a discrete event simulator to understand the behavior of real time of arriving tasks traffic under this newly proposed scheduling mechanism for 4G - LTE system . The results indicate that our proposed scheduling algorithm provides preferential treatment to real -time applications such as voice and video but not to that extent that data applications are starving for bandwidth and outperforms all other scheduling schemes that are available in the market.

  8. Using Intergenerational Oral History Service-Learning Projects to Teach Human Behavior Concepts: A Qualitative Analysis

    Science.gov (United States)

    Ames, Natalie; Diepstra, Stephene A.

    2006-01-01

    An intergenerational oral history project paired 63 students enrolled in human behavior in the social environment (HBSC) courses in a bachelor of social work (BSW) programs with older adults. The goal of the project was to provide contextual application of HBSE theories and concepts by engaging students in semester-long intentional interaction…

  9. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    DEFF Research Database (Denmark)

    Barban, Nicola; Jansen, Rick; de Vlaming, Ronald

    2016-01-01

    The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified......-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits....

  10. Behavioral analysis of Drosophila transformants expressing human taste receptor genes in the gustatory receptor neurons.

    Science.gov (United States)

    Adachi, Ryota; Sasaki, Yuko; Morita, Hiromi; Komai, Michio; Shirakawa, Hitoshi; Goto, Tomoko; Furuyama, Akira; Isono, Kunio

    2012-06-01

    Transgenic Drosophila expressing human T2R4 and T2R38 bitter-taste receptors or PKD2L1 sour-taste receptor in the fly gustatory receptor neurons and other tissues were prepared using conventional Gal4/UAS binary system. Molecular analysis showed that the transgene mRNAs are expressed according to the tissue specificity of the Gal4 drivers. Transformants expressing the transgene taste receptors in the fly taste neurons were then studied by a behavioral assay to analyze whether transgene chemoreceptors are functional and coupled to the cell response. Since wild-type flies show strong aversion against the T2R ligands as in mammals, the authors analyzed the transformants where the transgenes are expressed in the fly sugar receptor neurons so that they promote feeding ligand-dependently if they are functional and activate the neurons. Although the feeding preference varied considerably among different strains and individuals, statistical analysis using large numbers of transformants indicated that transformants expressing T2R4 showed a small but significant increase in the preference for denatonium and quinine, the T2R4 ligands, as compared to the control flies, whereas transformants expressing T2R38 did not. Similarly, transformants expressing T2R38 and PKD2L1 also showed a similar preference increase for T2R38-specific ligand phenylthiocarbamide (PTC) and a sour-taste ligand, citric acid, respectively. Taken together, the transformants expressing mammalian taste receptors showed a small but significant increase in the feeding preference that is taste receptor and also ligand dependent. Although future improvements are required to attain performance comparable to the endogenous robust response, Drosophila taste neurons may serve as a potential in vivo heterologous expression system for analyzing chemoreceptor function.

  11. Value-directed human behavior analysis from video using partially observable Markov decision processes.

    Science.gov (United States)

    Hoey, Jesse; Little, James J

    2007-07-01

    This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the context in which they are acting, and a utility function. This learning makes explicit that the meaning of a behavior to an observer is contained in its relationship to actions and outcomes. An agent wishing to capitalize on these relationships must learn to distinguish the behaviors according to how they help the agent to maximize utility. The model we use is a partially observable Markov decision process, or POMDP. The video observations are integrated into the POMDP using a dynamic Bayesian network that creates spatial and temporal abstractions amenable to decision making at the high level. The parameters of the model are learned from training data using an a posteriori constrained optimization technique based on the expectation-maximization algorithm. The system automatically discovers classes of behaviors and determines which are important for choosing actions that optimize over the utility of possible outcomes. This type of learning obviates the need for labeled data from expert knowledge about which behaviors are significant and removes bias about what behaviors may be useful to recognize in a particular situation. We show results in three interactions: a single player imitation game, a gestural robotic control problem, and a card game played by two people.

  12. Development of human behavior analysis techniques. Analysis of stress effects on the cognitive operating work

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Chul Jung; Park Jae Hee [Korea Research Institute of Standards and Science, Taejon (Korea, Republic of)

    1995-08-01

    PSFs(Performance Shaping Factors) and performance measures were selected to evaluate the operating tasks of nuclear power plant. Effects of PSFs on performance were studied on the basis of LOCA(Loss of Coolant Accident) and SGTR(Steam generator Tube Rupture) task analysis. The knowledge of relationship between PSFs and performance measures were represented as IF - THEN rule form. The result will be applied to the development of the cognitive operational simulator. (author). 64 refs.

  13. TSUNAMI EVACUATION BEHAVIOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Thai CHARNKOL

    2006-01-01

    Full Text Available Evacuation behavior analysis is known to be one step in a transportation disaster response. The purpose of this study was therefore, to investigate permanent and transient resident's behaviors and their backgrounds during a hypothetical tsunami evacuation. Evacuation behavior data were collected from two affected areas, Phuket and Phang-nga, Thailand. A behavioral analysis was carried out to gain some insights into human responses to a future tsunami warning, especially in determining evacuees' response patterns (fast, medium, and slow under various conditions (four preparation and response time intervals, i.e., 60 minutes, 45 minutes, 30 minutes, and 15 minutes. Preparation and response curves, which represent the time at which the evacuees were expected to begin their evacuation and move to a safer area, were estimated and compared between the permanent and transient residents. Furthermore, evacuation models were employed using binary logistic regression techniques to estimate the likelihood of evacuees being involved in each response group (quick or slow group. Results of the models revealed natural reactions to tsunami evacuation warning, including the response times and evacuation behaviors based on their different backgrounds. This research could help address and improve future evacuation management to become more efficient and more effective, which can increase public safety for the community.

  14. Behavior of human serum albumin on strong cation exchange resins: II. model analysis.

    Science.gov (United States)

    Voitl, Agnes; Butté, Alessandro; Morbidelli, Massimo

    2010-08-20

    Experiments with human serum albumin on a strong cation exchange resin exhibit a peculiar elution pattern: the protein elutes with two peaks in a modifier gradient. This behavior is modeled with a general rate model, where the two elution peaks are modeled with two binding conformations, one of which is at equilibrium conditions, while for the other, the adsorption process is rate limited. Isocratic experiments under nonadsorbing conditions were used to characterize the mass transfer process. The isotherm of both adsorption conformations as well as the kinetic of adsorption and desorption for the second conformation are functions of the modifier concentration. They are evaluated with linear modifier gradient experiments and step experiments with various adsorption times. All experimental features are well reproduced by the proposed modified general rate model.

  15. 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...

  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. Finite element analysis of mechanical behavior of human dysplastic hip joints: a systematic review.

    Science.gov (United States)

    Vafaeian, B; Zonoobi, D; Mabee, M; Hareendranathan, A R; El-Rich, M; Adeeb, S; Jaremko, J L

    2016-11-09

    Developmental dysplasia of the hip (DDH) is a common condition predisposing to osteoarthritis (OA). Especially since DDH is best identified and treated in infancy before bones ossify, there is surprisingly a near-complete absence of literature examining mechanical behavior of infant dysplastic hips. We sought to identify current practice in finite element modeling (FEM) of DDH, to inform future modeling of infant dysplastic hips. We performed multi-database systematic review using PRISMA criteria. Abstracts (n = 126) fulfilling inclusion criteria were screened for methodological quality, and results were analyzed and summarized for eligible articles (n = 12). The majority of the studies modeled human adult dysplastic hips. Two studies focused on etiology of DDH through simulating mechanobiological growth of prenatal hips; we found no FEM-based studies in infants or children. Finite element models used either patient-specific geometry or idealized average geometry. Diversities in choice of material properties, boundary conditions, and loading scenarios were found in the finite-element models. FEM of adult dysplastic hips demonstrated generally smaller cartilage contact area in dysplastic hips than in normal joints. Contact pressure (CP) may be higher or lower in dysplastic hips depending on joint geometry and mechanical contribution of labrum (Lb). FEM of mechanobiological growth of prenatal hip joints revealed evidence for effects of the joint mechanical environment on formation of coxa valga, asymmetrically shallow acetabulum and malformed femoral head associated with DDH. Future modeling informed by the results of this review may yield valuable insights into optimal treatment of DDH, and into how and why OA develops early in DDH.

  18. Voting: a behavioral analysis

    NARCIS (Netherlands)

    Visser, Max; Visser, Max

    1996-01-01

    The behavior of voting for a party in an election has important social implications, yet, due to strong mentalistic influences in electoral research, it has rarely been studied from the behavior analytical perspective. In this article a behavioral analysis of voting is presented and a derived

  19. Analysis of Autopilot Behavior

    Science.gov (United States)

    Sherry, Lance; Polson, Peter; Feay, Mike; Palmer, Everett; Null, Cynthia H. (Technical Monitor)

    1998-01-01

    Aviation and cognitive science researchers have identified situations in which the pilot's expectations for behavior of autopilot avionics are not matched by the actual behavior of the avionics. These "automation surprises" have been attributed to differences between the pilot's model of the behavior of the avionics and the actual behavior encoded in the avionics software. A formal technique is described for the analysis and measurement of the behavior of the cruise pitch modes of a modern Autopilot. The analysis characterizes the behavior of the Autopilot as situation-action rules. The behavior of the cruise pitch mode logic for a contemporary modern Autopilot was found to include 177 rules, including Level Change (23), Vertical Speed (16), Altitude Capture (50), and Altitude Hold (88). These rules are determined based on the values of 62 inputs. Analysis of the rule-based model also shed light on the factors cited in the literature as contributors to "automation surprises."

  20. Computational Analysis of Behavior.

    Science.gov (United States)

    Egnor, S E Roian; Branson, Kristin

    2016-07-01

    In this review, we discuss the emerging field of computational behavioral analysis-the use of modern methods from computer science and engineering to quantitatively measure animal behavior. We discuss aspects of experiment design important to both obtaining biologically relevant behavioral data and enabling the use of machine vision and learning techniques for automation. These two goals are often in conflict. Restraining or restricting the environment of the animal can simplify automatic behavior quantification, but it can also degrade the quality or alter important aspects of behavior. To enable biologists to design experiments to obtain better behavioral measurements, and computer scientists to pinpoint fruitful directions for algorithm improvement, we review known effects of artificial manipulation of the animal on behavior. We also review machine vision and learning techniques for tracking, feature extraction, automated behavior classification, and automated behavior discovery, the assumptions they make, and the types of data they work best with.

  1. Experimental analysis of the mechanical behavior of the viscoelastic porcine pancreas and preliminary case study on the human pancreas.

    Science.gov (United States)

    Wex, C; Fröhlich, M; Brandstädter, K; Bruns, C; Stoll, A

    2015-01-01

    The aim of this article is to study the mechanical properties of the pancreas. Up to now, the mechanical properties of the pancreas are not sufficiently characterized. The possibility of intraoperative mechanical testing of pathological pancreata will allow the classification of pancreatic diseases in the future. The application of mechanical parameters instead of the intraoperative frozen section analysis shortens waiting times in the operating room. This study proves the general applicability of shear rheology for the determination of the mechanical properties of pancreas and the assessment of graft quality for transplantation. Porcine and human pancreas samples were examined ex vivo and a nonlinear viscoelastic behavior was observed. Pancreas was found to be more viscous than liver but both abdominal organs showed a similar flow behavior. The shear deformation dependence of healthy human pancreas was similar to porcine pancreas. An increase in the post-mortem time led to an increase in the complex modulus for a post-mortem time up to 8.5 days. Histological investigations showed that an increased amount of collagen coincides with the stiffening of the pancreatic tissue.

  2. Zen and Behavior Analysis

    Science.gov (United States)

    Bass, Roger

    2010-01-01

    Zen's challenge for behavior analysis is to explain a repertoire that renders analysis itself meaningless--a result following not from scientific or philosophical arguments but rather from a unique verbal history generated by Zen's methods. Untying Zen's verbal knots suggests how meditation's and koans' effects on verbal behavior contribute to…

  3. Clinical science and human behavior.

    Science.gov (United States)

    Plaud, J J

    2001-09-01

    The debate between mentalism/cognitivism and behaviorism is analyzed, and it is concluded that behaviorism is the philosophy more closely associated with psychology as a behavioral science, the cognitive approach being more closely aligned with biological science. Specific objections to mentalistic interpretations of behavioral phenomena are detailed, and examples from clinical psychology are used to show the importance of behavioral approaches in applied domains. It is argued that the relation between behavior theory and clinical psychology is critical to the continued advancement of applied psychology. Behavior analysis is offered as a direct, applied extension of behavior theory as well as a highly practical and effective approach for understanding, explaining, and modifying the factors that contribute to and maintain maladaptive behaviors.

  4. Irrational Human Behaviors

    Directory of Open Access Journals (Sweden)

    Orhan Şener

    2015-10-01

    Full Text Available Neo Classical economists used to posit that, since consumers are rational, they make decisions to maximize their pleasure (utility. Opposing to Neo Classical understanding, Behavioral Economists argue that, consumers are infect not rational, but prone to all sort of biases and habits that pull them being rational. For instance, there are too many irrational choices made by the Turkish consumers like; expensive wedding parties given by low income families; although riding bicycle is healthy and cheap, but people buy expensive cars; it is cheaper staying at a hotel or a timeshare, however people buy expensive summer houses, where they stayed only few weeks a year. These type of irrational behaviors adversely affect the decisions on savings, investments and economic growth. On the consumers irrationality, Tversky and Daniel Kahneman, winner of the 2002 Nobel Prize in Economics, wrote Prospect Theory. They developed a cognitive psychological model to explain divergences from neoclassical economics. They claimed that people take decisions under psychological, social, emotional and economic factors that affect market prices and resource allocation. In order to explain the irrational behaviors of Turkish consumers, I utilized some concepts such as conspicuous consumption (or keeping up with Johns, Veblen Effect, Bandwagon Effect, bounded rationality, 20 to 80 Law and ethical considerations developed by Behavioral Economists and Heterodox Economics. Thus, I came to conclusion that why the free market economic understanding fails in Turkey by giving some examples and economic reasons stated in the last section of this paper.

  5. Scaling behavior of online human activity

    Science.gov (United States)

    Zhao, Zhi-Dan; Cai, Shi-Min; Huang, Junming; Fu, Yan; Zhou, Tao

    2012-11-01

    The rapid development of the Internet technology enables humans to explore the web and record the traces of online activities. From the analysis of these large-scale data sets (i.e., traces), we can get insights about the dynamic behavior of human activity. In this letter, the scaling behavior and complexity of human activity in the e-commerce, such as music, books, and movies rating, are comprehensively investigated by using the detrended fluctuation analysis technique and the multiscale entropy method. Firstly, the interevent time series of rating behaviors of these three types of media show similar scaling properties with exponents ranging from 0.53 to 0.58, which implies that the collective behaviors of rating media follow a process embodying self-similarity and long-range correlation. Meanwhile, by dividing the users into three groups based on their activities (i.e., rating per unit time), we find that the scaling exponents of the interevent time series in the three groups are different. Hence, these results suggest that a stronger long-range correlations exist in these collective behaviors. Furthermore, their information complexities vary in the three groups. To explain the differences of the collective behaviors restricted to the three groups, we study the dynamic behavior of human activity at the individual level, and find that the dynamic behaviors of a few users have extremely small scaling exponents associated with long-range anticorrelations. By comparing the interevent time distributions of four representative users, we can find that the bimodal distributions may bring forth the extraordinary scaling behaviors. These results of the analysis of the online human activity in the e-commerce may not only provide insight into its dynamic behaviors but may also be applied to acquire potential economic interest.

  6. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    NARCIS (Netherlands)

    Barban, Nicola; Jansen, Rick; Vlaming, de Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Ilja M.; Tragante, Vinicius; Laan, van der Sander W.; Perry, John R.B.; Kong, Augustine; Ahluwalia, Tarunveer S.; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E.; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S.F.W.; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; Most, van der Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathleen A.; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; Duijn, van Cornelia M.; Geus, de Eco J.C.; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Jörgen; Greiser, Karin Halina; Groenen, Patrick J.F.; Haan, de Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G.; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W.V.; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L.R.; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; Bianca, la Martina; Lachance, Genevieve; Iacono, William G.; Lai, Sandra; Lehtimäki, Terho; Liewald, David C.; Lindgren, Cecilia M.; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; Mutsert, de Renée; Nohr, Ellen A.; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W.J.H.; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Thurik, A.R.; Timpson, Nicholas J.; Tung, Joyce Y.; Uitterlinden, André G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; Hoed, den Marcel; Snieder, Harold; Mills, Melinda C.

    2016-01-01

    The genetic architecture of human reproductive behavior—age at first birth (AFB) and number of children ever born (NEB)—has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlyi

  7. Visualization and Rule Validation in Human-Behavior Representation

    Science.gov (United States)

    Moya, Lisa Jean; McKenzie, Frederic D.; Nguyen, Quynh-Anh H.

    2008-01-01

    Human behavior representation (HBR) models simulate human behaviors and responses. The Joint Crowd Federate [TM] cognitive model developed by the Virginia Modeling, Analysis, and Simulation Center (VMASC) and licensed by WernerAnderson, Inc., models the cognitive behavior of crowds to provide credible crowd behavior in support of military…

  8. Empirical analysis on the human dynamics of blogging behavior on GitHub

    Science.gov (United States)

    Yan, Deng-Cheng; Wei, Zong-Wen; Han, Xiao-Pu; Wang, Bing-Hong

    2017-01-01

    GitHub is a social collaborative coding platform on which software developers not only collaborate on codes but also share knowledge through blogs using GitHub Pages. In this article, we analyze the blogging behavior of software developers on GitHub Pages. The results show that both the commit number and the inter-event time of two consecutive blogging actions follow heavy-tailed distribution. We further observe a significant variety of activity among individual developers, and a strongly positive correlation between the activity and the power-law exponent of the inter-event time distribution. We also find a difference between the user behaviors of GitHub Pages and other online systems which is driven by the diversity of users and length of contents. In addition, our result shows an obvious difference between the majority of developers and elite developers in their burstiness property.

  9. Incorporating Human Movement Behavior into the Analysis of Spatially Distributed Infrastructure.

    Science.gov (United States)

    Wu, Lihua; Leung, Henry; Jiang, Hao; Zheng, Hong; Ma, Li

    2016-01-01

    For the first time in human history, the majority of the world's population resides in urban areas. Therefore, city managers are faced with new challenges related to the efficiency, equity and quality of the supply of resources, such as water, food and energy. Infrastructure in a city can be viewed as service points providing resources. These service points function together as a spatially collaborative system to serve an increasing population. To study the spatial collaboration among service points, we propose a shared network according to human's collective movement and resource usage based on data usage detail records (UDRs) from the cellular network in a city in western China. This network is shown to be not scale-free, but exhibits an interesting triangular property governed by two types of nodes with very different link patterns. Surprisingly, this feature is consistent with the urban-rural dualistic context of the city. Another feature of the shared network is that it consists of several spatially separated communities that characterize local people's active zones but do not completely overlap with administrative areas. According to these features, we propose the incorporation of human movement into infrastructure classification. The presence of well-defined spatially separated clusters confirms the effectiveness of this approach. In this paper, our findings reveal the spatial structure inside a city, and the proposed approach provides a new perspective on integrating human movement into the study of a spatially distributed system.

  10. Postmortem proteomic analysis in human amygdala of drug addicts: possible impact of tubulin on drug-abusing behavior.

    Science.gov (United States)

    Zill, P; Vielsmeier, V; Büttner, A; Eisenmenger, W; Siedler, F; Scheffer, B; Möller, H-J; Bondy, B

    2011-03-01

    Besides the ventral tegmental area and the nucleus accumbens as the most investigated brain reward structures, several reports about the relation between volume and activity of the amygdala and drug-seeking behavior have emphasized the central role of the amygdala in the etiology of addiction. Considering its proposed important role and the limited number of human protein expression studies with amygdala in drug addiction, we performed a human postmortem proteomic analysis of amygdala tissue obtained from 8 opiate addicts and 7 control individuals. Results were validated by Western blot in an independent postmortem replication sample from 12 opiate addicts compared to 12 controls and 12 suicide victims, as a second "control sample". Applying 2D-electrophoresis and MALDI-TOF-MS analysis, we detected alterations of beta-tubulin expression and decreased levels of the heat-shock protein HSP60 in drug addicts. Western blot analysis in the additional sample demonstrated significantly increased alpha- and beta-tubulin concentrations in the amygdala of drug abusers versus controls (P = 0.021, 0.029) and to suicide victims (P = 0.006, 0.002). Our results suggest that cytoskeletal alterations in the amygdala determined by tubulin seem to be involved in the pathophysiology of drug addiction, probably via a relation to neurotransmission and cellular signaling. Moreover, the loss of neuroprotection against stressors by chaperons as HSP60 might also contribute to structural alteration in the brain of drug addicts. Although further studies have to confirm our results, this might be a possible pathway that may increase our understanding of drug addiction.

  11. Behavior analysis in Brasil

    Directory of Open Access Journals (Sweden)

    João Cláudio Todorov

    2006-01-01

    Full Text Available The history of behavior analysis in Brazil began with the visit of Fred S. Keller as a FulbrightScholar to the University of São Paulo in 1961. Keller introduced Skinner works to the Brazilianpsychologists. His first assistant was Carolina Martuscelli Bori, then a social psychologistinfluenced by the work of Kurt Lewin. Initially guided by Keller, Carolina Bori was the majorforce in the diffusion of Behavior Analysis in Brazil, beginning with the psychology course ofthe University of Brasília, where the first course on Experimental Analysis of Behavior beganin August of 1964. Most of behavior analysts in Brazil today were students, directly or indirectly,of Carolina Bori. Several graduate programs throughout the country offer courses in behavioranalysis.

  12. The Reinforcement of Ableism: Normality, the Medical Model of Disability, and Humanism in Applied Behavior Analysis and ASD

    Science.gov (United States)

    Shyman, Eric

    2016-01-01

    The field of educating individuals with Autism Spectrum Disorder has ever been rife with controversy regarding issues ranging from etiology and causation to effective intervention and education options. One such basis for controversy has been between humanism, and humanistic philosophical concepts, and its fundamental differences with behaviorism,…

  13. The Reinforcement of Ableism: Normality, the Medical Model of Disability, and Humanism in Applied Behavior Analysis and ASD

    Science.gov (United States)

    Shyman, Eric

    2016-01-01

    The field of educating individuals with Autism Spectrum Disorder has ever been rife with controversy regarding issues ranging from etiology and causation to effective intervention and education options. One such basis for controversy has been between humanism, and humanistic philosophical concepts, and its fundamental differences with behaviorism,…

  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......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...

  15. Invitation to Consumer Behavior Analysis

    Science.gov (United States)

    Foxall, Gordon R.

    2010-01-01

    This article presents an introduction to consumer behavior analysis by describing the Behavioral Perspective Model of consumer choice and showing how research has, first, confirmed this framework and, second, opened up behavior analysis and behavioral economics to the study of consumer behavior in natural settings. It concludes with a discussion…

  16. Invitation to Consumer Behavior Analysis

    Science.gov (United States)

    Foxall, Gordon R.

    2010-01-01

    This article presents an introduction to consumer behavior analysis by describing the Behavioral Perspective Model of consumer choice and showing how research has, first, confirmed this framework and, second, opened up behavior analysis and behavioral economics to the study of consumer behavior in natural settings. It concludes with a discussion…

  17. The development of human behavior analysis techniques - A study on knowledge representation methods for operator cognitive model

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jung Woon; Park, Young Tack [Soongsil University, Seoul (Korea, Republic of)

    1996-07-01

    The main objective of this project is modeling of human operator in a main control room of Nuclear Power Plant. For this purpose, we carried out research on knowledge representation and inference method based on Rasmussen`s decision ladder structure. And we have developed SACOM(Simulation= Analyzer with a Cognitive Operator Model) using G2 shell on Sun workstations. SACOM consists of Operator Model, Interaction Analyzer, Situation Generator. Cognitive model aims to build a more detailed model of human operators in an effective way. SACOM is designed to model knowledge-based behavior of human operators more easily. The followings are main research topics carried out this year. First, in order to model knowledge-based behavior of human operators, more detailed scenarios are constructed. And, knowledge representation and inference methods are developed to support the scenarios. Second, meta knowledge structures are studied to support human operators 4 types of diagnoses. This work includes a study on meta and scheduler knowledge structures for generate-and-test, topographic, decision tree and case-based approaches. Third, domain knowledge structure are improved to support meta knowledge. Especially, domain knowledge structures are developed to model topographic diagnosis model. Fourth, more applicable interaction analyzer and situation generator are designed and implemented. The new version is implemented in G2 on Sun workstations. 35 refs., 49 figs. (author)

  18. Diversity in human behavioral ecology.

    Science.gov (United States)

    Hames, Raymond

    2014-12-01

    As befitting an evolutionary approach to the study of human behavior, the papers in this special issue of Human Nature cover a diversity of topics in modern and traditional societies. They include the goals of hunting in foraging societies, social bias, cooperative breeding, the impact of war on women, leadership, and social mobility. In combination these contributions demonstrate the utility of selectionist's thinking on a wide variety of topics. While many of the contributions employ standard evolutionary biological approaches such as kin selection, cooperative breeding and the Trivers-Willard model, others examine important human issues such as the problems of trust, the cost of war to women, the characteristics of leaders, and what might be called honest or rule-bound fights. One striking feature of many of the contributions is a novel reexamination of traditional research questions from an evolutionary perspective.

  19. Nonlinear dynamics in human behavior

    Energy Technology Data Exchange (ETDEWEB)

    Huys, Raoul [Centre National de la Recherche Scientifique (CNRS), 13 - Marseille (France); Marseille Univ. (France). Movement Science Inst.; Jirsa, Viktor K. (eds.) [Centre National de la Recherche Scientifique (CNRS), 13 - Marseille (France); Marseille Univ. (France). Movement Science Inst.; Florida Atlantic Univ., Boca Raton, FL (United States). Center for Complex Systems and Brain Sciences

    2010-07-01

    Humans engage in a seemingly endless variety of different behaviors, of which some are found across species, while others are conceived of as typically human. Most generally, behavior comes about through the interplay of various constraints - informational, mechanical, neural, metabolic, and so on - operating at multiple scales in space and time. Over the years, consensus has grown in the research community that, rather than investigating behavior only from bottom up, it may be also well understood in terms of concepts and laws on the phenomenological level. Such top down approach is rooted in theories of synergetics and self-organization using tools from nonlinear dynamics. The present compendium brings together scientists from all over the world that have contributed to the development of their respective fields departing from this background. It provides an introduction to deterministic as well as stochastic dynamical systems and contains applications to motor control and coordination, visual perception and illusion, as well as auditory perception in the context of speech and music. (orig.)

  20. Scaling behavior of online human activity

    CERN Document Server

    Zhao, Zhi-Dan; Huang, Junming; Fu, Yan; Zhou, Tao; 10.1209/0295-5075/100/48004

    2013-01-01

    The rapid development of Internet technology enables human explore the web and record the traces of online activities. From the analysis of these large-scale data sets (i.e. traces), we can get insights about dynamic behavior of human activity. In this letter, the scaling behavior and complexity of human activity in the e-commerce, such as music, book, and movie rating, are comprehensively investigated by using detrended fluctuation analysis technique and multiscale entropy method. Firstly, the interevent time series of rating behaviors of these three type medias show the similar scaling property with exponents ranging from 0.53 to 0.58, which implies that the collective behaviors of rating media follow a process embodying self-similarity and long-range correlation. Meanwhile, by dividing the users into three groups based their activities (i.e., rating per unit time), we find that the scaling exponents of interevent time series in three groups are different. Hence, these results suggest the stronger long-rang...

  1. 论人情社会与行为规范%Analysis on the Human Sentiment Society and Behavioral Norms

    Institute of Scientific and Technical Information of China (English)

    焦唤芝

    2014-01-01

    In the traditional Chinese acquaintance society,human sentiment directs people's way of act.While the legal society demands peo-ple to behave with norms,this is contrary to the human sentiment society.But there is still some correspondence between human sentiment and morality.If the positivity of human sentiment can be played,this will promote legal and moral construction.This article will reveal the relation-ship between human sentiment and behavioral norms by the comparison between the human sentiment society and the legal society.%在中国传统的熟人社会中,人情对人们的行为方式具有绝对的价值导向作用。而法治社会要求规范行事,显然这与人情社会相左。但人情与法治社会中的道德又有某些契合,若能发挥其积极性将会促进法制和道德的建设。通过对人情社会和法治社会的对比,揭示出人情与规范的关系。

  2. 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.

  3. Human Rights and Behavior Modification

    Science.gov (United States)

    Roos, Philip

    1974-01-01

    Criticisms of behavior modification, which charge that it violates ethical and legal principles, are discussed and reasons are presented to explain behavior modification's susceptibility to attack. (GW)

  4. Human behavior representation of military teamwork

    OpenAIRE

    Martin, Michael W.

    2006-01-01

    This work presents a conceptual structure for the behaviors of artificial intelligence agents, with emphasis on creating teamwork through individual behaviors. The goal is to set up a framework which enables teams of simulation agents to behave more realistically. Better team behavior can lend a higher fidelity of human behavior representation in a simulation, as well as provide opportunities to experiment with the factors that create teamwork. The framework divides agent behaviors into three...

  5. 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...

  6. Mimesis: Linking Postmodern Theory to Human Behavior

    Science.gov (United States)

    Dybicz, Phillip

    2010-01-01

    This article elaborates mimesis as a theory of causality used to explain human behavior. Drawing parallels to social constructionism's critique of positivism and naturalism, mimesis is offered as a theory of causality explaining human behavior that contests the current dominance of Newton's theory of causality as cause and effect. The contestation…

  7. Ecological Environment in Terms of Human Behavior

    Institute of Scientific and Technical Information of China (English)

    Xiaogang; CHEN; Dehu; ZHOU; Hui; LIN

    2013-01-01

    In terms of human behavior,company and government policy,it is proposed that the ecological behavior of human being is the basis of influence on the ecological environment construction in Poyang Lake and measures to ensure the sustainable development of ecological environment in Poyang Lake.

  8. Human Behavior from a Chronobiological Perspective.

    Science.gov (United States)

    Hoskins, Carol Noll

    1980-01-01

    The rhythmic patterning of man's biochemical, physiological, and psychological behavior and the temporal relationships among various functions are the province of chronobiology. Citing animal and human studies, the author documents the progress of this new science and poses complex questions that it may answer about human behavior. (Editor/SJL)

  9. Rational Emotive Behavior Therapy: Humanism in Action.

    Science.gov (United States)

    Hill, Larry K.

    1996-01-01

    Claims that humanism, in both concept and philosophy, is encased in a literature that is predominantly abstract, making humanism difficult to translate into tangible day-to-day action. Argues that rational emotive behavior therapy (REBT), however, provides a detailed method for translating humanist concepts into humanist behavior. (RJM)

  10. Rational Emotive Behavior Therapy: Humanism in Action.

    Science.gov (United States)

    Hill, Larry K.

    1996-01-01

    Claims that humanism, in both concept and philosophy, is encased in a literature that is predominantly abstract, making humanism difficult to translate into tangible day-to-day action. Argues that rational emotive behavior therapy (REBT), however, provides a detailed method for translating humanist concepts into humanist behavior. (RJM)

  11. Fluctuation Analysis of Human Electroencephalogram

    CERN Document Server

    Hwa, R C; Hwa, Rudolph C.; Ferree, Thomas C.

    2001-01-01

    The scaling behaviors of the human electroencephalogram (EEG) time series are studied using detrended fluctuation analysis. Two scaling regions are found in nearly every channel for all subjects examined. The scatter plot of the scaling exponents for all channels (up to 129) reveals the complicated structure of a subject's brain activity. Moment analyses are performed to extract the gross features of all the scaling exponents, and another universal scaling behavior is identified. A one-parameter description is found to characterize the fluctuation properties of the nonlinear behaviors of the brain dynamics.

  12. Laban Movement Analysis towards Behavior Patterns

    Science.gov (United States)

    Santos, Luís; Dias, Jorge

    This work presents a study about the use of Laban Movement Analysis (LMA) as a robust tool to describe human basic behavior patterns, to be applied in human-machine interaction. LMA is a language used to describe and annotate dancing movements and is divided in components [1]: Body, Space, Shape and Effort. Despite its general framework is widely used in physical and mental therapy [2], it has found little application in the engineering domain. Rett J. [3] proposed to implement LMA using Bayesian Networks. However LMA component models have not yet been fully implemented. A study on how to approach behavior using LMA is presented. Behavior is a complex feature and movement chain, but we believe that most basic behavior primitives can be discretized in simple features. Correctly identifying Laban parameters and the movements the authors feel that good patterns can be found within a specific set of basic behavior semantics.

  13. Toward applied behavior analysis of life aloft

    Science.gov (United States)

    Brady, J. V.

    1990-01-01

    This article deals with systems at multiple levels, at least from cell to organization. It also deals with learning, decision making, and other behavior at multiple levels. Technological development of a human behavioral ecosystem appropriate to space environments requires an analytic and synthetic orientation, explicitly experimental in nature, dictated by scientific and pragmatic considerations, and closely approximating procedures of established effectiveness in other areas of natural science. The conceptual basis of such an approach has its roots in environmentalism which has two main features: (1) knowledge comes from experience rather than from innate ideas, divine revelation, or other obscure sources; and (2) action is governed by consequences rather than by instinct, reason, will, beliefs, attitudes or even the currently fashionable cognitions. Without an experimentally derived data base founded upon such a functional analysis of human behavior, the overgenerality of "ecological systems" approaches render them incapable of ensuring the successful establishment of enduring space habitats. Without an experimentally derived function account of individual behavioral variability, a natural science of behavior cannot exist. And without a natural science of behavior, the social sciences will necessarily remain in their current status as disciplines of less than optimal precision or utility. Such a functional analysis of human performance should provide an operational account of behavior change in a manner similar to the way in which Darwin's approach to natural selection accounted for the evolution of phylogenetic lines (i.e., in descriptive, nonteleological terms). Similarly, as Darwin's account has subsequently been shown to be consonant with information obtained at the cellular level, so too should behavior principles ultimately prove to be in accord with an account of ontogenetic adaptation at a biochemical level. It would thus seem obvious that the most

  14. Influence of human behavior on cholera dynamics

    OpenAIRE

    Wang, Xueying; Gao, Daozhou; Wang, Jin

    2015-01-01

    This paper is devoted to studying the impact of human behavior on cholera infection. We start with a cholera ordinary differential equation (ODE) model that incorporates human behavior via modeling disease prevalence dependent contact rates for direct and indirect transmissions and infectious host shedding. Local and global dynamics of the model are analyzed with respect to the basic reproduction number. We then extend the ODE model to a reaction-convection-diffusion partial differential equa...

  15. The analysis and design of urban near-home environments according to psycho-social needs and behavior of human beings

    OpenAIRE

    Serpil, Burçak

    1996-01-01

    Ankara : Department of Interior Architecture and Environmental Design and the Institute of Fine Arts of Bilkent University, 1996. Thesis (Master's) -- Bilkent University, 1996. Includes bibliographical references leaves 129-132. In this study, the design of urban near-home environments is examined considering the social and psychological needs of human beings as well as human spatial behavior. After an introduction to the concepts such as environment, near-home environments, human-e...

  16. Recognition of 48 Human Behaviors from Video

    NARCIS (Netherlands)

    Burghouts, G.J.; Bouma, H.; Hollander, R.J.M. den; Broek, S.P. van den; Schutte, K.

    2012-01-01

    We have developed a system that recognizes 48 human behaviors from video. The essential elements are (i) inference of the actors in the scene, (ii) assessment of event-related properties of actors and between actors, (iii) exploiting the event properties to recognize the behaviors. The performance o

  17. Viscoelastic behavior of discrete human collagen fibrils

    DEFF Research Database (Denmark)

    Svensson, René; Hassenkam, Tue; Hansen, Philip

    2010-01-01

    Whole tendon and fibril bundles display viscoelastic behavior, but to the best of our knowledge this property has not been directly measured in single human tendon fibrils. In the present work an atomic force microscopy (AFM) approach was used for tensile testing of two human patellar tendon fibr...

  18. Simulating human behavior for national security human interactions.

    Energy Technology Data Exchange (ETDEWEB)

    Bernard, Michael Lewis; Hart, Dereck H.; Verzi, Stephen J.; Glickman, Matthew R.; Wolfenbarger, Paul R.; Xavier, Patrick Gordon

    2007-01-01

    This 3-year research and development effort focused on what we believe is a significant technical gap in existing modeling and simulation capabilities: the representation of plausible human cognition and behaviors within a dynamic, simulated environment. Specifically, the intent of the ''Simulating Human Behavior for National Security Human Interactions'' project was to demonstrate initial simulated human modeling capability that realistically represents intra- and inter-group interaction behaviors between simulated humans and human-controlled avatars as they respond to their environment. Significant process was made towards simulating human behaviors through the development of a framework that produces realistic characteristics and movement. The simulated humans were created from models designed to be psychologically plausible by being based on robust psychological research and theory. Progress was also made towards enhancing Sandia National Laboratories existing cognitive models to support culturally plausible behaviors that are important in representing group interactions. These models were implemented in the modular, interoperable, and commercially supported Umbra{reg_sign} simulation framework.

  19. Human chromosomes: Structure, behavior, and effects

    Energy Technology Data Exchange (ETDEWEB)

    Therman, E.; Susman, M.

    1993-12-31

    The book `Human Chromosomes: Structure, Behavior, and Effects` covers the most important topics regarding human chromosomes and current research in cytogenetics. Attention is given both to structure and function of autosomes and sex chromosomes, as well as definitions and causes of chromosomal aberrations. This often involves discussion about various aspects of the cell cycle (both mitosis and meiosis). Methods and techniques involved in researching and mapping human chromosomes are also discussed.

  20. Influence of human behavior on cholera dynamics.

    Science.gov (United States)

    Wang, Xueying; Gao, Daozhou; Wang, Jin

    2015-09-01

    This paper is devoted to studying the impact of human behavior on cholera infection. We start with a cholera ordinary differential equation (ODE) model that incorporates human behavior via modeling disease prevalence dependent contact rates for direct and indirect transmissions and infectious host shedding. Local and global dynamics of the model are analyzed with respect to the basic reproduction number. We then extend the ODE model to a reaction-convection-diffusion partial differential equation (PDE) model that accounts for the movement of both human hosts and bacteria. Particularly, we investigate the cholera spreading speed by analyzing the traveling wave solutions of the PDE model, and disease threshold dynamics by numerically evaluating the basic reproduction number of the PDE model. Our results show that human behavior can reduce (a) the endemic and epidemic levels, (b) cholera spreading speeds and (c) the risk of infection (characterized by the basic reproduction number). Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  1. Behavioral Task Analysis

    Science.gov (United States)

    2010-01-01

    developed by Professor Robert G. Radwin and Dr. Thomas Y. Yen in the Ergonomics Analysis and Design Consortium at the University of Wisconsin...M. Gagne ’ (Ed.), Psychological principles in system development (pp. 187-228). New York: Holt. Montemerlo, M. D., & Tennyson, M. E. (1975

  2. Human Behavior Recognition Using Foot Pressure Sensing Shoes

    Science.gov (United States)

    Sugimoto, Chika; Ozaki, Kenji; Ezoe, Ryosuke; Hosaka, Hiroshi; Yamato, Hiroyuki

    To recognize human behavior in unlimited environments, sensing shoes for measuring foot pressure distribution were developed. Seven pressure sensors were installed on an insole, and a measurement module was embedded in the shoe. An analysis for discriminating the user's movements from the foot pressure distribution was examined, considering the movements, walking, running, standing, sitting, going upstairs and downstairs, and cycling. These seven actions were discriminated using feature quantities such as the average, standard deviation, maximum, and difference deviation extracted from the data of three sensors by discriminant analysis. The evaluation results showed highly accurate behavior recognition based on foot pressure at some points. In addition, by canonical discriminant analysis, six discriminant functions which classify the seven actions with an accuracy of 100% were derived by using feature quantities extracted from five sensors. The results confirmed that discriminant analysis can be used for automatically recognizing human behaviors based on foot pressure data.

  3. Analysis of Malware behavior

    DEFF Research Database (Denmark)

    Pirscoveanu, Radu-Stefan; Hansen, Steven Strandlund; Larsen, Thor Mark Tampus

    2015-01-01

    Malicious software has become a major threat to modern society, not only due to the increased complexity of the malware itself but also due to the exponential increase of new malware each day. This study tackles the problem of analyzing and classifying a high amount of malware in a scalable and a...... on the above results it is believed that the developed system can be used to pre-filter novel from known malware in a future malware analysis system....

  4. Behavioral Entropy in Human-Robot Interaction

    Science.gov (United States)

    2004-01-01

    Department 2 Erwin R. Boer Consulting Brigham Young University San Diego, CA, USA Provo, UT, USA ABSTRACT The ability to quickly and accurately measure...AND ADDRESS(ES) Brigham Young University,Computer Science Department,33361 Talmage Building,Provo,UT,84602 8. PERFORMING ORGANIZATION REPORT NUMBER...in- teraction. To paraphrase Wiener, people work to re- duce entropy so skilled behavior minimizes entropy. This manifests itself in human behavior

  5. Data Sources for Human Behavior

    Science.gov (United States)

    2009-08-06

    Std Z39-18 Academic primary sources • Have search done by professional • Search Discipline Databases Social Sciences Citation Index – – Psycinfo...DRIVEN. WARFIGHTER FOCUSED. Databases UNCLASSIFIED – Approved for Public Release SOCIAL SCIENCES CITATION INDEX Home Science Products & Services Products...A - Z Social Sciences Citation Index PRODUCT S & SERV ICES • Products A -Z Life Sciences Scholarly Research , Publishing and Analysis

  6. Natural, Behavioral and Cultural Selection/Analysis: An Integrative Approach

    OpenAIRE

    Couto, Kalliu; Sandaker, Ingunn

    2016-01-01

    In Selection by Consequences, Skinner (1981) described a causal model that explains human behavior as a joint product of three levels of selection: (i) the contingencies of survival involved in natural selection, (ii) the contingencies of reinforcement involved in the selection of individual behavior, and (iii) contingencies of an evolving social environment. Since then, researchers from behavior analysis and other fi...

  7. Empirical analysis of consumer behavior

    NARCIS (Netherlands)

    Huang, Yufeng

    2015-01-01

    This thesis consists of three essays in quantitative marketing, focusing on structural empirical analysis of consumer behavior. In the first essay, he investigates the role of a consumer's skill of product usage, and its imperfect transferability across brands, in her product choice. It shows that

  8. Empirical analysis of consumer behavior

    NARCIS (Netherlands)

    Huang, Yufeng

    2015-01-01

    This thesis consists of three essays in quantitative marketing, focusing on structural empirical analysis of consumer behavior. In the first essay, he investigates the role of a consumer's skill of product usage, and its imperfect transferability across brands, in her product choice. It shows that e

  9. Empirical analysis of consumer behavior

    NARCIS (Netherlands)

    Huang, Yufeng

    2015-01-01

    This thesis consists of three essays in quantitative marketing, focusing on structural empirical analysis of consumer behavior. In the first essay, he investigates the role of a consumer's skill of product usage, and its imperfect transferability across brands, in her product choice. It shows that e

  10. Recent reinforcement-schedule research and applied behavior analysis

    OpenAIRE

    Lattal, Kennon A; Neef, Nancy A

    1996-01-01

    Reinforcement schedules are considered in relation to applied behavior analysis by examining several recent laboratory experiments with humans and other animals. The experiments are drawn from three areas of contemporary schedule research: behavioral history effects on schedule performance, the role of instructions in schedule performance of humans, and dynamic schedules of reinforcement. All of the experiments are discussed in relation to the role of behavioral history in current schedule pe...

  11. The glucocorticoid/aggression relationship in animals and humans: an analysis sensitive to behavioral characteristics, glucocorticoid secretion patterns, and neural mechanisms.

    Science.gov (United States)

    Haller, József

    2014-01-01

    Glucocorticoids control a wide array of biological processes from glucose homeostasis to neuronal function. The mechanisms mediating their effects are similarly varied and include rapid and transient nongenomic effects on calcium trafficking, various neurotransmitter receptors, and other membrane/cytoplasmic proteins, as well as slowly developing but durable genomic effects that are mediated by a large number of glucocorticoid-sensitive genes that are affected after variable lag-times. Given this complexity, we suggest that the aggression/glucocorticoid relationship cannot be reduced to the simple "stimulation/inhibition" question. Here, we review the effects of glucocorticoids on aggression by taking into account the complexities of glucocorticoid actions. Acute and chronic effects were differentiated because these are mediated by different mechanisms. The effects of chronic increases and decreases in glucocorticoid production were discussed separately, because the activation of mechanisms that are not normally activated and the loss of normal functions should not be confounded. Findings in healthy/normal subjects and those obtained in subjects that show abnormal forms of behavior or psychopathologies were also differentiated, because the effects of glucocorticoids are indirect, and largely depend on the properties of neurons they act upon, which are altered in subjects with psychopathologies. In addition, the conditions of glucocorticoid measurements were also thoroughly evaluated. Although the role of glucocorticoids in aggression is perceived as controversial by many investigators, a detailed analysis that is sensitive to glucocorticoid and behavioral measure as well as to the mediating mechanism suggests that this role is rather clear-cut; moreover, there is a marked similarity between animal and human findings.

  12. Negative reinforcement in applied behavior analysis: an emerging technology.

    OpenAIRE

    Iwata, B A

    1987-01-01

    Although the effects of negative reinforcement on human behavior have been studied for a number of years, a comprehensive body of applied research does not exist at this time. This article describes three aspects of negative reinforcement as it relates to applied behavior analysis: behavior acquired or maintained through negative reinforcement, the treatment of negatively reinforced behavior, and negative reinforcement as therapy. A consideration of research currently being done in these area...

  13. Megascale processes: Natural disasters and human behavior

    Science.gov (United States)

    Kieffer, S.W.; Barton, P.; Chesworth, W.; Palmer, A.R.; Reitan, P.; Zen, E.-A.

    2009-01-01

    Megascale geologic processes, such as earthquakes, tsunamis, volcanic eruptions, floods, and meteoritic impacts have occurred intermittently throughout geologic time, and perhaps on several planets. Unlike other catastrophes discussed in this volume, a unique process is unfolding on Earth, one in which humans may be the driving agent of megadisasters. Although local effects on population clusters may have been catastrophic in the past, human societies have never been interconnected globally at the scale that currently exists. We review some megascale processes and their effects in the past, and compare present conditions and possible outcomes. We then propose that human behavior itself is having effects on the planet that are comparable to, or greater than, these natural disasters. Yet, unlike geologic processes, human behavior is potentially under our control. Because the effects of our behavior threaten the stability, or perhaps even existence, of a civilized society, we call for the creation of a body to institute coherent global, credible, scientifi cally based action that is sensitive to political, economic, religious, and cultural values. The goal would be to institute aggressive monitoring, identify and understand trends, predict their consequences, and suggest and evaluate alternative actions to attempt to rescue ourselves and our ecosystems from catastrophe. We provide a template modeled after several existing national and international bodies. ?? 2009 The Geological Society of America.

  14. Human Behavior Cognition Using Smartphone Sensors

    Directory of Open Access Journals (Sweden)

    Jyrki Kaistinen

    2013-01-01

    Full Text Available This research focuses on sensing context, modeling human behavior and developing a new architecture for a cognitive phone platform. We combine the latest positioning technologies and phone sensors to capture human movements in natural environments and use the movements to study human behavior. Contexts in this research are abstracted as a Context Pyramid which includes six levels: Raw Sensor Data, Physical Parameter, Features/Patterns, Simple Contextual Descriptors, Activity-Level Descriptors, and Rich Context. To achieve implementation of the Context Pyramid on a cognitive phone, three key technologies are utilized: ubiquitous positioning, motion recognition, and human behavior modeling. Preliminary tests indicate that we have successfully achieved the Activity-Level Descriptors level with our LoMoCo (Location-Motion-Context model. Location accuracy of the proposed solution is up to 1.9 meters in corridor environments and 3.5 meters in open spaces. Test results also indicate that the motion states are recognized with an accuracy rate up to 92.9% using a Least Square-Support Vector Machine (LS-SVM classifier.

  15. 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...

  16. Human behavior in online social systems

    Science.gov (United States)

    Grabowski, A.

    2009-06-01

    We present and study data concerning human behavior in four online social systems: (i) an Internet community of friends of over 107 people, (ii) a music community website with over 106 users, (iii) a gamers’ community server with over 5 × 106 users and (iv) a booklovers’ website with over 2.5 × 105 users. The purpose of those systems is different; however, their properties are very similar. We have found that the distribution of human activity (e.g., the sum of books read or songs played) has the form of a power law. Moreover, the relationship between human activity and time has a power-law form, too. We present a simple interest-driven model of the evolution of such systems which explains the emergence of two scaling regimes.

  17. Synthesis, spectroscopic characterization, electrochemical behavior and computational analysis of mixed diamine ligand gold(III) complexes: antiproliferative and in vitro cytotoxic evaluations against human cancer cell lines.

    Science.gov (United States)

    Al-Jaroudi, Said S; Monim-ul-Mehboob, M; Altaf, Muhammad; Al-Saadi, Abdulaziz A; Wazeer, Mohammed I M; Altuwaijri, Saleh; Isab, Anvarhusein A

    2014-12-01

    The gold(III) complexes of the type [(DACH)Au(en)]Cl3, 1,2-Diaminocyclohexane ethylenediamine gold(III) chloride [where 1,2-DACH = cis-, trans-1,2- and S,S-1,2diaminocyclohexane and en = ethylenediamine] have been synthesized and characterized using various analytical and spectroscopic techniques including elemental analysis, UV-Vis and FTIR spectra; and solution as well as solid-state NMR measurements. The solid-state (13)C NMR shows that 1,2-diaminocyclohexane (1,2-DACH) and ethylenediamine (en) are strongly bound to the gold(III) center via N donor atoms. The stability of the mixed diamine ligand gold(III) was determined by (1)H and (13)C NMR spectra. Their electrochemical behavior was studied by cyclic voltammetry. The structural details and relative stabilities of the four possible isomers of the complexes were also reported at the B3LYP/LANL2DZ level of theory. The coordination sphere of these complexes around gold(III) center adopts distorted square planar geometry. The computational study also demonstrates that trans- conformations is slightly more stable than the cis-conformations. The antiproliferative effects and cytotoxic properties of the mixed diamine ligand gold(III) complexes were evaluated in vitro on human gastric SGC7901 and prostate PC3 cancer cells using MTT assay. The antiproliferative study of the gold(III) complexes on PC3 and SGC7901 cells indicate that complex 1 is the most effective antiproliferative agent among mixed ligand based gold(III) complexes 1-3. The IC50 data reveal that the in vitro cytotoxicity of complexes 1 and 3 against SGC7901 cancer cells are fairly better than that of cisplatin.

  18. The relations between neuroscience and human behavioral science.

    OpenAIRE

    Strumwasser, F.

    1994-01-01

    Neuroscience seeks to understand how the human brain, perhaps the most complex electrochemical machine in the universe, works, in terms of molecules, membranes, cells and cell assemblies, development, plasticity, learning, memory, cognition, and behavior. The human behavioral sciences, in particular psychiatry and clinical psychology, deal with disorders of human behavior and mentation. The gap between neuroscience and the human behavioral sciences is still large. However, some major advances...

  19. Behavioral cusps: a developmental and pragmatic concept for behavior analysis.

    OpenAIRE

    Rosales-Ruiz, J; Baer, D M

    1997-01-01

    Most concepts of development explain certain behavior changes as products or markers of the invariable succession of emerging periods, stages, refinements, or achievements that define and order much of an individual's life. A different but comparable concept can be derived from the most basic mechanisms of behavior analysis, which are its environmental contingencies, and from its most basic strategy, which is to study behavior as its subject matter. From a behavior-analytic perspective, the m...

  20. Sympathetic nervous system behavior in human obesity.

    Science.gov (United States)

    Davy, Kevin P; Orr, Jeb S

    2009-02-01

    The sympathetic nervous system (SNS) plays an essential role in the regulation of metabolic and cardiovascular homeostasis. Low SNS activity has been suggested to be a risk factor for weight gain and obesity development. In contrast, SNS activation is characteristic of a number of metabolic and cardiovascular diseases that occur more frequently in obese individuals. Until recently, the relation between obesity and SNS behavior has been controversial because previous approaches for assessing SNS activity in humans have produced inconsistent findings. Beginning in the early 1990s, many studies using state of the art neurochemical and neurophysiological techniques have provided important insight. The purpose of the present review is to provide an overview of our current understanding of the region specific alterations in SNS behavior in human obesity. We will discuss findings from our own laboratory which implicate visceral fat as an important depot linking obesity with skeletal muscle SNS activation. The influence of weight change on SNS behavior and the potential mechanisms and consequences of region specific SNS activation in obesity will also be considered.

  1. Mitigating Insider Threat Using Human Behavior Influence Models

    Science.gov (United States)

    2006-06-01

    Change in Score Versus Time for Both Employees (over 3 years).......................94 45. Distribution of Sensitivity Tests Performed ...Human Behavior Human Behavior is defined as a “collection of activities performed by human beings and influenced by culture, attitudes, emotions...values, ethics, authority, rapport, hypnosis , persuasion, and/or coercion.” [6] The theory behind human behavior is humans react to “definite objective

  2. Numerical Analysis of Three-Dimensional Cervical Behaviors in Posterior-Oblique Car Collisions Using 3-D Human Whole Body Finite Element Model

    Science.gov (United States)

    Kang, Yu-Bong; Jung, Duk-Young; Tanaka, Masatoshi; Yoshino, Nobuyuki; Tsutsumi, Sadami; Ikeuchi, Ken

    Whiplash injuries are most common disorders in rear-end car accidents, while the injury mechanism is yet unknown. Many numerical and experimental approaches have conducted to investigate the cervical behaviors with solely two-dimensional analyses in the sagittal plane. In real accidents, however, as impacts may affect several directions, the cervical behaviors should be evaluated three-dimensionally. Therefore, we evaluated the cervical behaviors under assumption of the posterior-oblique impacts depending on the impact angles with 3-D FE analysis. In addition, we analyzed the stresses occurred in the facet joints considering the relationship with a whiplash disorders. The cervical behaviors showed complex motion combined with axial torsion and lateral bending. The bending angle peaked in the impact at the angle of 15°, and the peak compressive and shear stress on the facet cartilage at C6-C7 increased by 11% and 14%. In the impact at the angle of 30°, the torsion angle peaked at C2-C3, the peak shear stress in the facet cartilage increased by 27%. It showed that the torsion and lateral bending affected the cervical behaviors, and caused the increase of peak stresses on the soft tissues. It is assumed as one of important causes of whiplash injury.

  3. In Search of Meaning: Values in Modern Clinical Behavior Analysis

    Science.gov (United States)

    Plumb, Jennifer C.; Stewart, Ian; Dahl, JoAnne; Lundgren, Tobias

    2009-01-01

    Skinner described behavior analysis as the field of values and purpose. However, he defined these concepts in terms of a history of reinforcement and failed to specify whether and how human and nonhuman values might differ. Human values have been seen as theoretically central within a number of nonbehavioral traditions in psychology, including…

  4. Visual Analysis of Humans

    CERN Document Server

    Moeslund, Thomas B

    2011-01-01

    This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. This title: features a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes

  5. Anomalous human behavior detection: an adaptive approach

    Science.gov (United States)

    van Leeuwen, Coen; Halma, Arvid; Schutte, Klamer

    2013-05-01

    Detection of anomalies (outliers or abnormal instances) is an important element in a range of applications such as fault, fraud, suspicious behavior detection and knowledge discovery. In this article we propose a new method for anomaly detection and performed tested its ability to detect anomalous behavior in videos from DARPA's Mind's Eye program, containing a variety of human activities. In this semi-unsupervised task a set of normal instances is provided for training, after which unknown abnormal behavior has to be detected in a test set. The features extracted from the video data have high dimensionality, are sparse and inhomogeneously distributed in the feature space making it a challenging task. Given these characteristics a distance-based method is preferred, but choosing a threshold to classify instances as (ab)normal is non-trivial. Our novel aproach, the Adaptive Outlier Distance (AOD) is able to detect outliers in these conditions based on local distance ratios. The underlying assumption is that the local maximum distance between labeled examples is a good indicator of the variation in that neighborhood, and therefore a local threshold will result in more robust outlier detection. We compare our method to existing state-of-art methods such as the Local Outlier Factor (LOF) and the Local Distance-based Outlier Factor (LDOF). The results of the experiments show that our novel approach improves the quality of the anomaly detection.

  6. Choice, Communication, and Conflict. A System's Approach to the Study of Human Behavior.

    Science.gov (United States)

    Ackoff, Russell L.

    This book presents a teleological analysis of the concepts of human behavior. Through distinctions and definitions, a model or system is developed, upon which all aspects of behavior are interrelated. The model of choice or purposeful state is discussed with its underlying concepts. Human communication and feeling, and cooperation and conflict…

  7. Ontology-based high-level context inference for human behavior identification

    NARCIS (Netherlands)

    Villalonga, Claudia; Razzaq, Muhammad Asif; Ali Khan, Wajahat; Pomares, Hector; Rojas, Ignacio; Lee, Sungyoung; Banos Legran, Oresti

    2016-01-01

    Recent years have witnessed a huge progress in the utomatic identification of individual primitives of human behavior, such as activities or locations. However, the complex nature of human behavior demands more abstract contextual information for its analysis. This work presents an ontology-based

  8. Improving Public Perception of Behavior Analysis.

    Science.gov (United States)

    Freedman, David H

    2016-05-01

    The potential impact of behavior analysis is limited by the public's dim awareness of the field. The mass media rarely cover behavior analysis, other than to echo inaccurate negative stereotypes about control and punishment. The media instead play up appealing but less-evidence-based approaches to problems, a key example being the touting of dubious diets over behavioral approaches to losing excess weight. These sorts of claims distort or skirt scientific evidence, undercutting the fidelity of behavior analysis to scientific rigor. Strategies for better connecting behavior analysis with the public might include reframing the field's techniques and principles in friendlier, more resonant form; pushing direct outcome comparisons between behavior analysis and its rivals in simple terms; and playing up the "warm and fuzzy" side of behavior analysis.

  9. Edwin Grant Dexter: an early researcher in human behavioral biometeorology

    Science.gov (United States)

    Stewart, Alan E.

    2015-06-01

    Edwin Grant Dexter (1868-1938) was one of the first researchers to study empirically the effects of specific weather conditions on human behavior. Dexter (1904) published his findings in a book, Weather influences. The author's purposes in this article were to (1) describe briefly Dexter's professional life and examine the historical contexts and motivations that led Dexter to conduct some of the first empirical behavioral biometeorological studies of the time, (2) describe the methods Dexter used to examine weather-behavior relationships and briefly characterize the results that he reported in Weather influences, and (3) provide a historical analysis of Dexter's work and assess its significance for human behavioral biometeorology. Dexter's Weather influences, while demonstrating an exemplary approach to weather, health, and behavior relationships, came at the end of a long era of such studies, as health, social, and meteorological sciences were turning to different paradigms to advance their fields. For these reasons, Dexter's approach and contributions may not have been fully recognized at the time and are, consequently, worthy of consideration by contemporary biometeorologists.

  10. Cognition, behavior, and the experimental analysis of behavior

    OpenAIRE

    Shimp, Charles P.

    1984-01-01

    A case history illustrates how one research program in the experimental analysis of behavior evolved somewhat differently from the modal research program represented in this journal. A chief issue that seems to be responsible for this difference is the role attributed to theory in behavioral research: Skinner's views on the nature and function of theory and on the nature of observation combine to produce a certain kind of picture of behavior. The classic conception of reinforcement contingenc...

  11. Learning dynamics explains human behavior in Prisoner's Dilemma on networks

    CERN Document Server

    Cimini, Giulio

    2014-01-01

    Cooperative behavior lies at the very basis of human societies, yet its evolutionary origin remains a key unsolved puzzle. Whereas reciprocity or conditional cooperation is one of the most prominent mechanisms proposed to explain the emergence of cooperation in social dilemmas, recent experimental findings on networked Prisoner's Dilemma games suggest that conditional cooperation also depends on the previous action of the player---namely on the `mood' in which the player currently is. Roughly, a majority of people behaves as conditional cooperators if they cooperated in the past, while they ignore the context and free-ride with high probability if they did not. However, the ultimate origin of this behavior represents a conundrum itself. Here we aim specifically at providing an evolutionary explanation of moody conditional cooperation. To this end, we perform an extensive analysis of different evolutionary dynamics for players' behavioral traits---ranging from standard processes used in game theory based on pa...

  12. Integration of human behavior expectations in training: human behavior simulator; Integracion de las expectativas de comportamiento humano en la formacion: simulacion de comportamiento humano

    Energy Technology Data Exchange (ETDEWEB)

    Obeso Torices, E.

    2012-07-01

    The analysis of operating experience in nuclear Sta Maria de Garona point to fundamental human factor. After evaluation of the Peer Review, reinforcing behavior expectations was identified as improvement area. The human behavior simulator aims at minimizing human error. Making teamwork practices ensures that the equipment itself reinforces their behavior and performance in the work of the Central. The scope of practice to perform on the simulator includes all phases of execution. The team should analyze the best way to run, the impact of it on the ground and interaction with other sections, being the simulator training environment the situation closer to reality.

  13. Behavior Analysis: A Student's Guide.

    Science.gov (United States)

    Frankenberger, William

    This paper provides students with a brief outline of behavioral principles and behavior change techniques, and describes various means of behavior change including operant conditioning. Methods discussed include reinforcement, extinction, punishment, response cost, time-out, overcorrection, training, and data collection for taking a baseline.…

  14. Escalation research: providing new frontiers for applying behavior analysis to organizational behavior.

    Science.gov (United States)

    Goltz, S M

    2000-01-01

    Decision fiascoes such as escalation of commitment, the tendency of decision makers to "throw good money after bad," can have serious consequences for organizations and are therefore of great interest in applied research. This paper discusses the use of behavior analysis in organizational behavior research on escalation. Among the most significant aspects of behavior-analytic research on escalation is that it has indicated that both the patterns of outcomes that decision makers have experienced for past decisions and the patterns of responses that they make are critical for understanding escalation. This research has also stimulated the refinement of methods by researchers to better assess decision making and the role reinforcement plays in it. Finally, behavior-analytic escalation research has not only indicated the utility of reinforcement principles for predicting more complex human behavior but has also suggested some additional areas for future exploration of decision making using behavior analysis.

  15. ANALYSIS OF BEHAVIOR IN WORK

    Directory of Open Access Journals (Sweden)

    ROMANESC MARCEL LAURENTIU

    2014-05-01

    Full Text Available By this study has been taken into account understanding roles of personality and values in determining behaviors that work, it is subsequently explain the process of perception and the way in which this affects the work behaviors and identify the work attitudes affecting the work behavior. To understand how much better intellectual asset management has been taken into account definition of the concept of person, organization, the form and the manner in which they affect behaviors. At the end key list shall be bounded on the set of behaviors that counts for organizational performance, more exactly every person to be able to develop your skills and positive attitude

  16. Motivational Interviewing: A Theoretical Framework for the Study of Human Behavior and the Social Environment

    OpenAIRE

    Katherine van Wormer

    2007-01-01

    This article provides a critical analysis of motivational interviewing stages of change model. Although rarely included in textbooks on human behavior and the social environment, this model has much to teach us about that aspect of human behavior most germane to social work practice—personal motivation for change of behaviors that are dysfunctional. The basic concepts that underlie motivational interviewing are derived from empirically-based principles from the science of social psychology. T...

  17. 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.

  18. 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.

  19. Simulating human behavior for understanding and managing environmental resource use

    NARCIS (Netherlands)

    Jager, Wander; Mosler, Hans Joachim

    2007-01-01

    Computer simulation allows for the experimental study of dynamic interactions between human behavior and complex environmental systems. Behavioral determinants and processes as identified in social-scientific theory may be formalized in simulated agents to obtain a better understanding of

  20. Human behavior recognition using a context-free grammar

    Science.gov (United States)

    Rosani, Andrea; Conci, Nicola; De Natale, Francesco G. B.

    2014-05-01

    Automatic recognition of human activities and behaviors is still a challenging problem for many reasons, including limited accuracy of the data acquired by sensing devices, high variability of human behaviors, and gap between visual appearance and scene semantics. Symbolic approaches can significantly simplify the analysis and turn raw data into chains of meaningful patterns. This allows getting rid of most of the clutter produced by low-level processing operations, embedding significant contextual information into the data, as well as using simple syntactic approaches to perform the matching between incoming sequences and models. We propose a symbolic approach to learn and detect complex activities through the sequences of atomic actions. Compared to previous methods based on context-free grammars, we introduce several important novelties, such as the capability to learn actions based on both positive and negative samples, the possibility of efficiently retraining the system in the presence of misclassified or unrecognized events, and the use of a parsing procedure that allows correct detection of the activities also when they are concatenated and/or nested one with each other. An experimental validation on three datasets with different characteristics demonstrates the robustness of the approach in classifying complex human behaviors.

  1. Science, Skepticism, and Applied Behavior Analysis

    Science.gov (United States)

    Normand, Matthew P

    2008-01-01

    Pseudoscientific claims concerning medical and psychological treatments of all varieties are commonplace. As behavior analysts, a sound skeptical approach to our science and practice is essential. The present paper offers an overview of science and skepticism and discusses the relationship of skepticism to behavior analysis, with an emphasis on the types of issues concerning behavior analysts in practice. PMID:22477687

  2. Universality in voting behavior: an empirical analysis

    Science.gov (United States)

    Chatterjee, Arnab; Mitrović, Marija; Fortunato, Santo

    2013-01-01

    Election data represent a precious source of information to study human behavior at a large scale. In proportional elections with open lists, the number of votes received by a candidate, rescaled by the average performance of all competitors in the same party list, has the same distribution regardless of the country and the year of the election. Here we provide the first thorough assessment of this claim. We analyzed election datasets of 15 countries with proportional systems. We confirm that a class of nations with similar election rules fulfill the universality claim. Discrepancies from this trend in other countries with open-lists elections are always associated with peculiar differences in the election rules, which matter more than differences between countries and historical periods. Our analysis shows that the role of parties in the electoral performance of candidates is crucial: alternative scalings not taking into account party affiliations lead to poor results.

  3. Universality in voting behavior: an empirical analysis

    CERN Document Server

    Chatterjee, Arnab; Fortunato, Santo

    2012-01-01

    Election data represent a precious source of information to study human behavior at a large scale. In proportional elections with open lists, the number of votes received by a candidate, rescaled by the average performance of all competitors in the same party list, has the same distribution regardless of the country and the year of the election. Here we provide the first thorough assessment of this claim. We analyzed election datasets of 15 countries with proportional systems. We confirm that a class of nations with similar election rules fulfill the universality claim. Discrepancies from this trend in other countries with open-lists elections are always associated with peculiar differences in the election rules, which matter more than differences between countries and historical periods. Our analysis shows that the role of parties in the electoral performance of candidates is crucial: alternative scalings not taking into account party affiliations lead to poor results.

  4. Handbook of Applied Behavior Analysis

    Science.gov (United States)

    Fisher, Wayne W., Ed.; Piazza, Cathleen C., Ed.; Roane, Henry S., Ed.

    2011-01-01

    Describing the state of the science of ABA, this comprehensive handbook provides detailed information about theory, research, and intervention. The contributors are leading ABA authorities who present current best practices in behavioral assessment and demonstrate evidence-based strategies for supporting positive behaviors and reducing problem…

  5. Marketing Behavior Analysis Requires Different Talk.

    Science.gov (United States)

    Bailey, Jon S.

    1991-01-01

    Technological talk in the field of applied behavior analysis creates distance between researchers and behavior analysis consumers. The field should focus on properly analyzing the needs of potential consumers, adapting technology to serve those needs, and packaging and marketing products in such a way that they are readily accepted and easily…

  6. Animal models for human behavioral deficiencies during development.

    Science.gov (United States)

    Elsner, J

    1992-01-01

    Often considered to be a subdiscipline of neurotoxicology, experimental behavioral teratology has difficulties to be acknowledged by its own right. Results obtained in the laboratory concerning purely behavioral effects induced by low level prenatal exposure to substances are often doubted to contain any relevance with respect to humans. This doubt is based on many debates going on in the numerous extrapolation steps between observed effects on animal behavior and human psychopathology. Taking the inverse path, extrapolation from a typical human behavioral syndrome (minimal brain dysfunction) to observations which can be made on laboratory animals, the following main debates are discussed: the psychology debate (behaviorism--perceptionism--cognitivism); the psychopathology debate (hyperactivity--attention deficit--tactile-kinesthetic perception deficiency--sensory integration deficits); the relevance debate (behavior is reprogrammable software--behavioral deficits may reflect undetectable hardware defects); the interpretation debate (behavioral teratogenicity is chemical imprinting--behavioral disturbances due to chemicals reflect neurotoxicity); the intelligence debate (IQ decrements--attention deficits); the developmental delay debate (the relevance of a delay in the behavioral development); the sensitivity debate (behavior is the most sensitive measure in toxicology--the brain redundancy and plasticity compensates subtle deficiencies); the statistics debate (gather as many behavioral variables as possible--stay simple and measure only one aspect of behavior); the regulation debate (behavioral teratology should be regulated in detail--tests should not be prescribed). It is attempted to find rational solutions for these debates which menace to jeopardize the very existence of behavioral teratology.

  7. Behavioral Research Data Analysis with R

    CERN Document Server

    Li, Yuelin

    2012-01-01

    This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. This book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human su

  8. Optimizing the phenotyping of rodent ASD models: enrichment analysis of mouse and human neurobiological phenotypes associated with high-risk autism genes identifies morphological, electrophysiological, neurological, and behavioral features

    Directory of Open Access Journals (Sweden)

    Buxbaum Joseph D

    2012-02-01

    in ASD genes result in defined groups of changes in mouse models and support a broad neurobiological approach to phenotyping rodent models for ASD, with a focus on biochemistry and molecular biology, brain and neuronal morphology, and electrophysiology, as well as both neurological and additional behavioral analyses. Analysis of human phenotypes associated with these genes reinforced these conclusions, supporting face validity for these approaches to phenotyping of ASD models. Such phenotyping is consistent with the successes in Fmr1 knockout mice, in which morphological changes recapitulated human findings and electrophysiological deficits resulted in molecular insights that have since led to clinical trials. We propose both broad domains and, based on expert review of more than 50 publications in each of the four neurobiological domains, specific tests to be applied to rodent models of ASD.

  9. A Behavioral Systems Analysis of Behavior Analysis as a Scientific System

    Science.gov (United States)

    Hayes, Linda J.; Dubuque, Erick M.; Fryling, Mitch J.; Pritchard, Joshua K.

    2009-01-01

    Behavioral systems analyses typically address organizational problems in business and industry. However, to the extent that a behavioral system is an entity comprised of interdependent elements formed by individuals interacting toward a common goal, a scientific enterprise constitutes a behavioral system to which a behavioral systems analysis may…

  10. Social Media Research, Human Behavior, and Sustainable Society

    Directory of Open Access Journals (Sweden)

    Quan Li

    2017-03-01

    Full Text Available A bibliometric analysis was conducted to review social media research from different perspectives during the period of 2008–2014 based on the Science Citation Index and Social Science Citation Index database. Using a collection of 10,042 articles related to social media, the bibliometric analysis revealed some interesting patterns and trend of the scientific outputs, major journals, subject categories, spatial distribution, international collaboration, and temporal evolution in keywords usage in social media studies. The research on social media has been characterized by rapid growth and dynamic collaboration, with a rising number of publications and citation. Communication, Sociology, Public, Environment & Occupational Health, Business, and Multidisciplinary Psychology were the five most common categories. Computers in Human Behavior was the journal with the most social media publications, and Computers & Education ranked first according to the average citations. The two most productive countries were the U.S. and UK, delivering about half of the publications. The proportion of China’s internationally collaborative publications was the highest. The University of Wisconsin, the University of Michigan, and Harvard University were three most productive institutions. Several keywords, such as “Facebook”, “Twitter”, “communication”, “Social Networking Sites”, “China”, “climate change”, “big data” and “social support” increasingly gained the popularity during the study period, indicating the research trends on human behavior and sustainability.

  11. Genetic and Molecular Network Analysis of Behavior

    OpenAIRE

    Williams, Robert W.; Mulligan, Megan K.

    2012-01-01

    This chapter provides an introduction into the genetic control and analysis of behavioral variation using powerful online resources. We introduce you to the new field of systems genetics using "case studies" drawn from the world of behavioral genetics that exploit populations of genetically diverse lines of mice. These lines differ very widely in patterns of gene and protein expression in the brain and in patterns of behavior. In this chapter we address the following set of related questions:...

  12. Oxytocin receptor gene polymorphisms are associated with human directed social behavior in dogs (Canis familiaris).

    Science.gov (United States)

    Kis, Anna; Bence, Melinda; Lakatos, Gabriella; Pergel, Enikő; Turcsán, Borbála; Pluijmakers, Jolanda; Vas, Judit; Elek, Zsuzsanna; Brúder, Ildikó; Földi, Levente; Sasvári-Székely, Mária; Miklósi, Adám; Rónai, Zsolt; Kubinyi, Enikő

    2014-01-01

    The oxytocin system has a crucial role in human sociality; several results prove that polymorphisms of the oxytocin receptor gene are related to complex social behaviors in humans. Dogs' parallel evolution with humans and their adaptation to the human environment has made them a useful species to model human social interactions. Previous research indicates that dogs are eligible models for behavioral genetic research, as well. Based on these previous findings, our research investigated associations between human directed social behaviors and two newly described (-212AG, 19131AG) and one known (rs8679684) single nucleotide polymorphisms (SNPs) in the regulatory regions (5' and 3' UTR) of the oxytocin receptor gene in German Shepherd (N = 104) and Border Collie (N = 103) dogs. Dogs' behavior traits have been estimated in a newly developed test series consisting of five episodes: Greeting by a stranger, Separation from the owner, Problem solving, Threatening approach, Hiding of the owner. Buccal samples were collected and DNA was isolated using standard protocols. SNPs in the 3' and 5' UTR regions were analyzed by polymerase chain reaction based techniques followed by subsequent electrophoresis analysis. The gene-behavior association analysis suggests that oxytocin receptor gene polymorphisms have an impact in both breeds on (i) proximity seeking towards an unfamiliar person, as well as their owner, and on (ii) how friendly dogs behave towards strangers, although the mediating molecular regulatory mechanisms are yet unknown. Based on these results, we conclude that similarly to humans, the social behavior of dogs towards humans is influenced by the oxytocin system.

  13. Human Behavioral Contributions to Climate Change: Psychological and Contextual Drivers

    Science.gov (United States)

    Swim, Janet K.; Clayton, Susan; Howard, George S.

    2011-01-01

    We are facing rapid changes in the global climate, and these changes are attributable to human behavior. Humans produce this global impact through our use of natural resources, multiplied by the vast increase in population seen in the past 50 to 100 years. Our goal in this article is to examine the underlying psychosocial causes of human impact,…

  14. International Behavior Analysis: Preliminary Findings

    Science.gov (United States)

    1976-09-30

    Project. The Project’s basic goal is to provide a means for producing comparative, empirical generalizations about how, when, and why nations are...sources of behavior have been identified. These cpoens (or collections of source factors) include: (1) psychological; (2) political ; (3) societal; (4...nation initiate an external action? Thatis, after one or more conditions generate a decision occasion, how does the nation respond? Similar in nature is

  15. Middle Egypt in prehistory: A search for the origins of modern human behavior and human dispersal

    OpenAIRE

    Olszewski, D.; McPherron, S.; Dibble, H.; Soressi, M.

    2001-01-01

    Focuses on the evolution of human behavior and dispersal in Egypt. Examination on the genetic relationship of groups of people living in the area; Importance of the study of stone artifacts the explain the origins of human behavior; Assumption on the routes taken by humans to disperse in the area.

  16. High-throughput behavioral analysis in C. elegans.

    Science.gov (United States)

    Swierczek, Nicholas A; Giles, Andrew C; Rankin, Catharine H; Kerr, Rex A

    2011-06-05

    We designed a real-time computer vision system, the Multi-Worm Tracker (MWT), which can simultaneously quantify the behavior of dozens of Caenorhabditis elegans on a Petri plate at video rates. We examined three traditional behavioral paradigms using this system: spontaneous movement on food, where the behavior changes over tens of minutes; chemotaxis, where turning events must be detected accurately to determine strategy; and habituation of response to tap, where the response is stochastic and changes over time. In each case, manual analysis or automated single-worm tracking would be tedious and time-consuming, but the MWT system allowed rapid quantification of behavior with minimal human effort. Thus, this system will enable large-scale forward and reverse genetic screens for complex behaviors.

  17. A 3D Analysis of Flight Behavior of Anopheles gambiae sensu stricto Malaria Mosquitoes in Response to Human Odor and Heat

    NARCIS (Netherlands)

    Spitzen, J.; Spoor, C.W.; Grieco, F.; Braak, ter C.J.F.; Beeuwkes, J.; Brugge, van S.P.; Kranenbarg, S.; Noldus, L.; Leeuwen, van J.L.; Takken, W.

    2013-01-01

    Female mosquitoes use odor and heat as cues to navigate to a suitable landing site on their blood host. The way these cues affect flight behavior and modulate anemotactic responses, however, is poorly understood. We studied in-flight behavioral responses of females of the nocturnal malaria mosquito

  18. Frank A. Beach award. Homologies of animal and human sexual behaviors.

    Science.gov (United States)

    Pfaus, J G

    1996-09-01

    Theoretical models of animal and human sexual behavior have evolved from two very different literatures, yet they contain many common behavioral components that may reflect the action of similar neuroendocrine and neurochemical systems. The study of animal sexual behavior has been largely concerned with mechanisms that underlie the pattern of consummatory behaviors observed during copulation, behaviors that tend to be highly stereotyped, sexually differentiated, and species-specific. There are important species differences in the behavioral topography, endocrine control, and neural substrates of consummatory behaviors, which tend to be extreme when comparing animals and humans. Although this has led to an increased interest in comparative animal behavior, it has also helped to foster a general perception that animals and humans are fundamentally different. In contrast to consummatory behaviors, appetitive behaviors (which serve to bring animals and humans into contact with sexual incentives) are more flexible, less sexually differentiated, and less species-specific and span a variety of situations other than sexual interactions. Appetitive behaviors are thus viewed as "sexually specific" when they are displayed under sexual circumstances and reinforced by sexual incentives. Interestingly, an appetitive/consummatory dichotomy has emerged in the human literature which distinguishes measures of sexual desire or arousal from "performance" measures of masturbation or copulation. In fact, sexual desire, which reflects fantasy and behavioral excitement, has been further differentiated from sexual arousal, which reflects genital blood flow. The present analysis attempts to pull together these seemingly disparate literatures into a coherent theoretical framework that emphasizes similarities and differences in the structure of sexual behavior across rats and humans.

  19. 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.

  20. EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    M. Forghani

    2014-10-01

    Full Text Available Accessibility of positioning technologies such as GPS offer the opportunity to store one’s travel experience and publish it on the web. Using this feature in web-based social networks and considering location information shared by users as a bridge connecting the users’ network to location information layer leads to the formation of Geo-Social Networks. The availability of large amounts of geographical and social data on these networks provides rich sources of information that can be utilized for studying human behavior through data analysis in a spatial-temporal-social context. This paper attempts to investigate the behavior of around 1150 users of Foursquare network by making use of their check-ins. The authors analyzed the metadata associated with the whereabouts of the users, with an emphasis on the type of places, to uncover patterns across different temporal and geographical scales for venue category usage. The authors found five groups of meaningful patterns that can explore region characteristics and recognize a number of major crowd behaviors that recur over time and space.

  1. Kansei Behavior of Robots Following Instruction of Human

    Directory of Open Access Journals (Sweden)

    Satoru Shibata

    2015-10-01

    Full Text Available When coexisting with humans and support them, robots need to be instructed to move by humans without burden, and the motion should not to instigate anxiety but to be accepted to human psychology. To realize Kansei behavior of robots following instruction of human, the concept of “Kansei transfer function”, which can add softness and smoothness to robots, is explained, and the effectiveness of its applications to humanrobot interfaces is confirmed from psychological aspects.

  2. 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.

  3. Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

    Science.gov (United States)

    Narayanan, Shrikanth; Georgiou, Panayiotis G.

    2013-01-01

    The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion. PMID:24039277

  4. Informal Institutions and the "Weaknesses" of Human Behavior

    Science.gov (United States)

    2005-01-01

    Volkswirtschaftslehre ’ i LDepartment of Economics Discussion Paper No. January 2005 34 Informal Institutions and the "Weaknesses" of Human Behavior Markus G6bel...Diskussionspapiere der Faichergruppe Volkswirtschaftslehre "* Grbel, Markus & Tobias Thomas, Informal Institutions and the "Weaknesses" of Human Behavior, No... Volkswirtschaftslehre "* Braiuninger, Michael, Social Capital and Regional Mobility, Nr. 4/2002. "* Schdfer, Wolf, EU-Erweiterung: Anmerkungen zum Balassa

  5. Signal analysis of behavioral and molecular cycles

    Directory of Open Access Journals (Sweden)

    Dowse Harold B

    2002-01-01

    Full Text Available Abstract Background Circadian clocks are biological oscillators that regulate molecular, physiological, and behavioral rhythms in a wide variety of organisms. While behavioral rhythms are typically monitored over many cycles, a similar approach to molecular rhythms was not possible until recently; the advent of real-time analysis using transgenic reporters now permits the observations of molecular rhythms over many cycles as well. This development suggests that new details about the relationship between molecular and behavioral rhythms may be revealed. Even so, behavioral and molecular rhythmicity have been analyzed using different methods, making such comparisons difficult to achieve. To address this shortcoming, among others, we developed a set of integrated analytical tools to unify the analysis of biological rhythms across modalities. Results We demonstrate an adaptation of digital signal analysis that allows similar treatment of both behavioral and molecular data from our studies of Drosophila. For both types of data, we apply digital filters to extract and clarify details of interest; we employ methods of autocorrelation and spectral analysis to assess rhythmicity and estimate the period; we evaluate phase shifts using crosscorrelation; and we use circular statistics to extract information about phase. Conclusion Using data generated by our investigation of rhythms in Drosophila we demonstrate how a unique aggregation of analytical tools may be used to analyze and compare behavioral and molecular rhythms. These methods are shown to be versatile and will also be adaptable to further experiments, owing in part to the non-proprietary nature of the code we have developed.

  6. Functional Analysis and Treatment of Aberrant Behavior.

    Science.gov (United States)

    Mace, F. Charles; And Others

    1991-01-01

    This article reviews general classes of variables which help to maintain aberrant behavior including attention seeking, sensory and perceptual consequences, and access to materials or activities. Suggestions for a methodology providing a comprehensive functional analysis are offered which include descriptive analysis, hypothesis forming,…

  7. Simulating human behavior for understanding and managing environmental resource use

    NARCIS (Netherlands)

    Jager, Wander; Mosler, Hans Joachim

    2007-01-01

    Computer simulation allows for the experimental study of dynamic interactions between human behavior and complex environmental systems. Behavioral determinants and processes as identified in social-scientific theory may be formalized in simulated agents to obtain a better understanding of man-enviro

  8. Facing History and Ourselves: Holocaust and Human Behavior.

    Science.gov (United States)

    Strom, Margot Stern; Parsons, William S.

    This unit for junior and senior high school students presents techniques and materials for studying about the holocaust of World War II. Emphasis in the guide is on human behavior and the role of the individual within society. Among the guide's 18 objectives are for students to examine society's influence on individual behavior, place Hitler's…

  9. A Formal Investigation of the Organization of Guidance Behavior: Implications for Humans and Autonomous Guidance

    Science.gov (United States)

    Kong, Zhaodan

    Guidance behavior generated either by artificial agents or humans has been actively studied in the fields of both robotics and cognitive science. The goals of these two fields are different. The former is the automatic generation of appropriate or even optimal behavior, while the latter is the understanding of the underlying mechanism. Their challenges, though, are closely related, the most important one being the lack of a unified, formal and grounded framework where the guidance behavior can be modeled and studied. This dissertation presents such a framework. In this framework, guidance behavior is analyzed as the closed-loop dynamics of the whole agent-environment system. The resulting dynamics give rise to interaction patterns. The central points of this dissertation are that: first of all, these patterns, which can be explained in terms of symmetries that are inherent to the guidance behavior, provide building blocks for the organization of behavior; second, the existence of these patterns and humans' organization of their guidance behavior based on these patterns are the reasons that humans can generate successful behavior in spite of all the complexities involved in the planning and control. This dissertation first gives an overview of the challenges existing in both scientific endeavors, such as human and animal spatial behavior study, and engineering endeavors, such as autonomous guidance system design. It then lays out the foundation for our formal framework, which states that guidance behavior should be interpreted as the collection of the closed-loop dynamics resulting from the agent's interaction with the environment. The following, illustrated by examples of three different UAVs, shows that the study of the closed-loop dynamics should not be done without the consideration of vehicle dynamics, as is the common practice in some of the studies in both autonomous guidance and human behavior analysis. The framework, the core concepts of which are

  10. 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.

  11. Viscoelastic behavior of discrete human collagen fibrils

    DEFF Research Database (Denmark)

    2010-01-01

    on the strain. The slope of the viscous response showed a strain rate dependence corresponding to a power function of powers 0.242 and 0.168 for the two patellar tendon fibrils, respectively. In conclusion, the present work provides direct evidence of viscoelastic behavior at the single fibril level, which has...

  12. Anomalous human behavior detection: An Adaptive approach

    NARCIS (Netherlands)

    Leeuwen, C. van; Halma, A.; Schutte, K.

    2013-01-01

    Detection of anomalies (outliers or abnormal instances) is an important element in a range of applications such as fault, fraud, suspicious behavior detection and knowledge discovery. In this article we propose a new method for anomaly detection and performed tested its ability to detect anomalous

  13. Anomalous human behavior detection: An Adaptive approach

    NARCIS (Netherlands)

    Leeuwen, C. van; Halma, A.; Schutte, K.

    2013-01-01

    Detection of anomalies (outliers or abnormal instances) is an important element in a range of applications such as fault, fraud, suspicious behavior detection and knowledge discovery. In this article we propose a new method for anomaly detection and performed tested its ability to detect anomalous b

  14. Oxytocin receptor genetic variation promotes human trust behavior

    Directory of Open Access Journals (Sweden)

    Frank eKrueger

    2012-02-01

    Full Text Available Given that human trust behavior is heritable and intranasal administration of oxytocin enhances trust, the oxytocin receptor (OXTR gene is an excellent candidate to investigate genetic contributions to individual variations in trust behavior. Although a single-nucleotide polymorphism involving an adenine (A/ guanine (G transition (rs53576 has been associated with socio-emotional phenotypes, its link to trust behavior is unclear. We combined genotyping of healthy male students with the administration of a trust game experiment. Our results show that a naturally occurring genetic variation (rs53576 in the OXTR gene is reliably associated with trust behavior rather than a general increase in trustworthy or risk behaviors. Individuals homozygous for the G allele (GG showed higher trust behavior than individuals with A allele carriers (AA/AG. Although the molecular functionality of this polymorphism is still unknown, future research should clarify how the OXTR gene interacts with other genes and the environment in promoting socio-emotional behaviors.

  15. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

    Xu Ren-zuo; Ma Ruo-feng; Liu Li-na; Xiong Zhong-wei

    2004-01-01

    The general human factors analysis analyzes human functions, effects and influence in a system. But in a narrow sense, it analyzes human influence upon the reliability of a system, it includes traditional human reliability analysis, human error analysis, man-machine interface analysis, human character analysis, and others. A software development project in software engineering is successful or not to be completely determined by human factors. In this paper, we discuss the human factors intensions, declare the importance of human factors analysis for software engineering by listed some instances. At last, we probe preliminarily into the mentality that a practitioner in software engineering should possess.

  16. Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots

    Directory of Open Access Journals (Sweden)

    Jose Vicente Berna-Martinez

    2013-02-01

    Full Text Available Humans and machines have shared the same physical space for many years. To share the same space, we want the robots to behave like human beings. This will facilitate their social integration, their interaction with humans and create an intelligent behavior. To achieve this goal, we need to understand how human behavior is generated, analyze tasks running our nerves and how they relate to them. Then and only then can we implement these mechanisms in robotic beings. In this study, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this study has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.

  17. Empirical analysis of online human dynamics

    Science.gov (United States)

    Zhao, Zhi-Dan; Zhou, Tao

    2012-06-01

    Patterns of human activities have attracted increasing academic interests, since the quantitative understanding of human behavior is helpful to uncover the origins of many socioeconomic phenomena. This paper focuses on behaviors of Internet users. Six large-scale systems are studied in our experiments, including the movie-watching in Netflix and MovieLens, the transaction in Ebay, the bookmark-collecting in Delicious, and the posting in FreindFeed and Twitter. Empirical analysis reveals some common statistical features of online human behavior: (1) The total number of user's actions, the user's activity, and the interevent time all follow heavy-tailed distributions. (2) There exists a strongly positive correlation between user's activity and the total number of user's actions, and a significantly negative correlation between the user's activity and the width of the interevent time distribution. We further study the rescaling method and show that this method could to some extent eliminate the different statistics among users caused by the different activities, yet the effectiveness depends on the data sets.

  18. 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.

  19. The multifactorial nature of human homosexual behavior: A brief review

    Directory of Open Access Journals (Sweden)

    Barona, Daniel

    2014-12-01

    Full Text Available Homosexual behavior has been analyzed as an evolutionary paradox in the biological context. In this review, we will try to compile the main genetic, epigenetic, hormonal, neurological and immune explanations of homosexuality, as well as the ultimate evolutionary causes of this complex behavior in the human being, incorporating information from studies in other animal species. All these factors determine the homosexual behavior, acting most of the times, simultaneously. Hereditary and non hereditary factors determine homosexual behavior, explaining its persistence despite its apparent disadvantages in relation to reproductive fitness.

  20. Human-Computer Interactions and Decision Behavior

    Science.gov (United States)

    1984-01-01

    software interfaces. The major components of the reseach program included the Diaiogue Management System. (DMS) operating environment, the role of...specification; and new methods for modeling, designing, and developing human-computer interfaces based on syntactic and semantic specification. The DMS...achieving communication is language. Accordingly, the transaction model employs a linguistic model consisting of parts that relate computer responses

  1. Human Wagering Behavior Depends on Opponents' Faces

    Science.gov (United States)

    Schlicht, Erik J.; Shimojo, Shinsuke; Camerer, Colin F.; Battaglia, Peter; Nakayama, Ken

    2010-01-01

    Research in competitive games has exclusively focused on how opponent models are developed through previous outcomes and how peoples' decisions relate to normative predictions. Little is known about how rapid impressions of opponents operate and influence behavior in competitive economic situations, although such subjective impressions have been shown to influence cooperative decision-making. This study investigates whether an opponent's face influences players' wagering decisions in a zero-sum game with hidden information. Participants made risky choices in a simplified poker task while being presented opponents whose faces differentially correlated with subjective impressions of trust. Surprisingly, we find that threatening face information has little influence on wagering behavior, but faces relaying positive emotional characteristics impact peoples' decisions. Thus, people took significantly longer and made more mistakes against emotionally positive opponents. Differences in reaction times and percent correct were greatest around the optimal decision boundary, indicating that face information is predominantly used when making decisions during medium-value gambles. Mistakes against emotionally positive opponents resulted from increased folding rates, suggesting that participants may have believed that these opponents were betting with hands of greater value than other opponents. According to these results, the best “poker face” for bluffing may not be a neutral face, but rather a face that contains emotional correlates of trustworthiness. Moreover, it suggests that rapid impressions of an opponent play an important role in competitive games, especially when people have little or no experience with an opponent. PMID:20657772

  2. Human turnover dynamics during sleep: Statistical behavior and its modeling

    Science.gov (United States)

    Yoneyama, Mitsuru; Okuma, Yasuyuki; Utsumi, Hiroya; Terashi, Hiroo; Mitoma, Hiroshi

    2014-03-01

    Turnover is a typical intermittent body movement while asleep. Exploring its behavior may provide insights into the mechanisms and management of sleep. However, little is understood about the dynamic nature of turnover in healthy humans and how it can be modified in disease. Here we present a detailed analysis of turnover signals that are collected by accelerometry from healthy elderly subjects and age-matched patients with neurodegenerative disorders such as Parkinson's disease. In healthy subjects, the time intervals between consecutive turnover events exhibit a well-separated bimodal distribution with one mode at ⩽10 s and the other at ⩾100 s, whereas such bimodality tends to disappear in neurodegenerative patients. The discovery of bimodality and fine temporal structures (⩽10 s) is a contribution that is not revealed by conventional sleep recordings with less time resolution (≈30 s). Moreover, we estimate the scaling exponent of the interval fluctuations, which also shows a clear difference between healthy subjects and patients. We incorporate these experimental results into a computational model of human decision making. A decision is to be made at each simulation step between two choices: to keep on sleeping or to make a turnover, the selection of which is determined dynamically by comparing a pair of random numbers assigned to each choice. This decision is weighted by a single parameter that reflects the depth of sleep. The resulting simulated behavior accurately replicates many aspects of observed turnover patterns, including the appearance or disappearance of bimodality and leads to several predictions, suggesting that the depth parameter may be useful as a quantitative measure for differentiating between normal and pathological sleep. These findings have significant clinical implications and may pave the way for the development of practical sleep assessment technologies.

  3. Human turnover dynamics during sleep: statistical behavior and its modeling.

    Science.gov (United States)

    Yoneyama, Mitsuru; Okuma, Yasuyuki; Utsumi, Hiroya; Terashi, Hiroo; Mitoma, Hiroshi

    2014-03-01

    Turnover is a typical intermittent body movement while asleep. Exploring its behavior may provide insights into the mechanisms and management of sleep. However, little is understood about the dynamic nature of turnover in healthy humans and how it can be modified in disease. Here we present a detailed analysis of turnover signals that are collected by accelerometry from healthy elderly subjects and age-matched patients with neurodegenerative disorders such as Parkinson's disease. In healthy subjects, the time intervals between consecutive turnover events exhibit a well-separated bimodal distribution with one mode at ⩽10 s and the other at ⩾100 s, whereas such bimodality tends to disappear in neurodegenerative patients. The discovery of bimodality and fine temporal structures (⩽10 s) is a contribution that is not revealed by conventional sleep recordings with less time resolution (≈30 s). Moreover, we estimate the scaling exponent of the interval fluctuations, which also shows a clear difference between healthy subjects and patients. We incorporate these experimental results into a computational model of human decision making. A decision is to be made at each simulation step between two choices: to keep on sleeping or to make a turnover, the selection of which is determined dynamically by comparing a pair of random numbers assigned to each choice. This decision is weighted by a single parameter that reflects the depth of sleep. The resulting simulated behavior accurately replicates many aspects of observed turnover patterns, including the appearance or disappearance of bimodality and leads to several predictions, suggesting that the depth parameter may be useful as a quantitative measure for differentiating between normal and pathological sleep. These findings have significant clinical implications and may pave the way for the development of practical sleep assessment technologies.

  4. Consumer Behavior Analysis of Green Food

    OpenAIRE

    Chao Luo; Guangrong Tong; Yang Pan; Sha Yang

    2015-01-01

    This study uses empirical research methods, based on detailed analysis of the food transaction big data. It use descriptive statistical method to analyze the current situation of cognitive and behavioral characteristics of the green food and it conducted data mining of factors affecting consumer buying green food. Multiple linear regression analysis have shown that the price factor is an important factor affecting consumer buying green food, next are food quality and health awareness and prod...

  5. Behavioral analysis of network flow traffic

    OpenAIRE

    Heller, Mark D.

    2010-01-01

    Approved for public release, distribution unlimited Network Behavior Analysis (NBA) is a technique to enhance network security by passively monitoring aggregate traffic patterns and noting unusual action or departures from normal operations. The analysis is typically performed offline, due to the huge volume of input data, in contrast to conventional intrusion prevention solutions based on deep packet inspection, signature detection, and real-time blocking. After establishing a benchmar...

  6. Advancing Behavior Analysis in Zoos and Aquariums.

    Science.gov (United States)

    Maple, Terry L; Segura, Valerie D

    2015-05-01

    Zoos, aquariums, and other captive animal facilities offer promising opportunities to advance the science and practice of behavior analysis. Zoos and aquariums are necessarily concerned with the health and well-being of their charges and are held to a high standard by their supporters (visitors, members, and donors), organized critics, and the media. Zoos and aquariums offer unique venues for teaching and research and a locus for expanding the footprint of behavior analysis. In North America, Europe, and the UK, formal agreements between zoos, aquariums, and university graduate departments have been operating successfully for decades. To expand on this model, it will be necessary to help zoo and aquarium managers throughout the world to recognize the value of behavior analysis in the delivery of essential animal health and welfare services. Academic institutions, administrators, and invested faculty should consider the utility of training students to meet the growing needs of applied behavior analysis in zoos and aquariums and other animal facilities such as primate research centers, sanctuaries, and rescue centers.

  7. Group choice: the ideal free distribution of human social behavior.

    Science.gov (United States)

    Kraft, J R; Baum, W M

    2001-07-01

    Group choice refers to the distribution of group members between two choice alternatives over time. The ideal free distribution (IFD), an optimal foraging model from behavioral ecology, predicts that the ratio of foragers at two resource sites should equal the ratio of obtained resources, a prediction that is formally analogous to the matching law of individual choice, except that group choice is a social phenomenon. Two experiments investigated the usefulness of IFD analyses of human group choice and individual-based explanations that might account for the group-level events. Instead of nonhuman animals foraging at two sites for resources, a group of humans chose blue and red cards to receive points that could earn cash prizes. The groups chose blue and red cards in ratios in positive relation to the ratios of points associated with the cards. When group choice ratios and point ratios were plotted on logarithmic coordinates and fitted with regression lines, the slopes (i.e., sensitivity measures) approached 1.0 but tended to fall short of it (i.e., undermatching), with little bias and little unaccounted for variance. These experiments demonstrate that an IFD analysis of group choice is possible and useful, and suggest that group choice may be explained by the individual members' tendency to optimize reinforcement.

  8. The Scientific Image in Behavior Analysis.

    Science.gov (United States)

    Keenan, Mickey

    2016-05-01

    Throughout the history of science, the scientific image has played a significant role in communication. With recent developments in computing technology, there has been an increase in the kinds of opportunities now available for scientists to communicate in more sophisticated ways. Within behavior analysis, though, we are only just beginning to appreciate the importance of going beyond the printing press to elucidate basic principles of behavior. The aim of this manuscript is to stimulate appreciation of both the role of the scientific image and the opportunities provided by a quick response code (QR code) for enhancing the functionality of the printed page. I discuss the limitations of imagery in behavior analysis ("Introduction"), and I show examples of what can be done with animations and multimedia for teaching philosophical issues that arise when teaching about private events ("Private Events 1 and 2"). Animations are also useful for bypassing ethical issues when showing examples of challenging behavior ("Challenging Behavior"). Each of these topics can be accessed only by scanning the QR code provided. This contingency has been arranged to help the reader embrace this new technology. In so doing, I hope to show its potential for going beyond the limitations of the printing press.

  9. Timing of Multimodal Robot Behaviors during Human-Robot Collaboration

    DEFF Research Database (Denmark)

    Jensen, Lars Christian; Fischer, Kerstin; Suvei, Stefan-Daniel

    2017-01-01

    In this paper, we address issues of timing between robot behaviors in multimodal human-robot interaction. In particular, we study what effects sequential order and simultaneity of robot arm and body movement and verbal behavior have on the fluency of interactions. In a study with the Care...... output plays a special role because participants carry their expectations from human verbal interaction into the interactions with robots.......-O-bot, a large service robot, in a medical measurement scenario, we compare the timing of the robot's behaviors in three between-subject conditions. The results show that the relative timing of robot behaviors has significant effects on the number of problems participants encounter, and that the robot's verbal...

  10. Behavioral Finances versus Technical and Fundamental Analysis

    Directory of Open Access Journals (Sweden)

    Adrian Mitroi

    2007-01-01

    Full Text Available Although the field of modern finance has progressed impressively, it is still hard to explain on a scientific basis why people behave nonrationally when dealing with money. The classic finance assumes people rationalize and optimize their financial decisions. Behavioral Finance adds the importance of what investors should do and complements the mantra of classic finance with what people actually do, in terms of economic decisions. The new field of Neuroeconomy investigates the subtle and profound interactions within the human brain when faced with uncertainties of an economic decision. The most basic psychological traits of human being (fear, anger, greed and altruism stamp an indelible mark on our decisions about money. The intellect (understanding a situation, reason (long term consequences of the contemplated action and emotion (the judge of the course of action are all intercorrelated resorts behind human decision making.

  11. Behavioral Finances versus Technical and Fundamental Analysis

    Directory of Open Access Journals (Sweden)

    Ion Stancu

    2007-01-01

    Full Text Available Although the field of modern finance has progressed impressively, it is still hard to explain on a scientific basis why people behave nonrationally when dealing with money. The classic finance assumes people rationalize and optimize their financial decisions. Behavioral Finance adds the importance of what investors should do and complements the mantra of classic finance with what people actually do, in terms of economic decisions. The new field of Neuroeconomy investigates the subtle and profound interactions within the human brain when faced with uncertainties of an economic decision. The most basic psychological traits of human being (fear, anger, greed and altruism stamp an indelible mark on our decisions about money. The intellect (understanding a situation, reason (long term consequences of the contemplated action and emotion (the judge of the course of action are all intercorrelated resorts behind human decision making.

  12. L\\'evy flights in human behavior and cognition

    CERN Document Server

    Baronchelli, Andrea

    2013-01-01

    L\\'evy flights represent the best strategy to randomly search for a target in an unknown environment, and have been widely observed in many animal species. Here, we inspect and discuss recent results concerning human behavior and cognition. Different studies have shown that human mobility can be described in terms of L\\'evy flights, while fresh evidence indicates that the same pattern accounts for human mental searches in online gambling sites. Thus, L\\'evy flights emerge as a unifying concept with broad cross-disciplinary implications. We argue that the ubiquity of such a pattern, both in behavior and cognition, suggests that the brain regions responsible for this behavior are likely to be evolutionarily old (i.e. no frontal cortex is involved), and that fMRI techniques might help to confirm this hypothesis.

  13. Detecting Change in Human Social Behavior Simulation

    Science.gov (United States)

    2008-08-19

    Hypotheses. Annals of Mathematical Statistics. 16, 117-186. Wald A. (1947). Sequential Analysis, Wiley, New York. Wald , A. and Wolfowitz , J...Perspective on the Emergence of network Organizations. Journal of Mathematical Sociology. 24(1), 67-96. Wald A. (1945). Sequential Tests of Statistical

  14. Talking with a Virtual Human: Controlling the Human Experience and Behavior in a Virtual Conversation

    NARCIS (Netherlands)

    Qu, C.

    2014-01-01

    Virtual humans are often designed to replace real humans in virtual reality applications for e.g., psychotherapy, education and entertainment. In general, applications with virtual humans are created for modifying a person's knowledge, beliefs, attitudes, emotions or behaviors. Reaching these intend

  15. State dissociation, human behavior, and consciousness.

    Science.gov (United States)

    Mahowald, Mark W; Cramer Bornemann, Michel A; Schenck, Carlos H

    2011-01-01

    Sleep is clearly not only a whole-brain or global phenomenon, but can also be a local phenomenon. This accounts for the fact that the primary states of being (wakefulness, NREM sleep, and REM sleep) are not necessarily mutually exclusive, and components of these states may appear in various combinations, with fascinating clinical consequences. Examples include: sleep inertia, narcolepsy, sleep paralysis, lucid dreaming, REM sleep behavior disorder, sleepwalking, sleep terrors, out-of-body experiences, and reports of alien abduction. The incomplete declaration of state likewise has implications for consciousness - which also has fluid boundaries. Fluctuations in the degree of consciousness are likely explained by abnormalities of a "spatial and temporal binding rhythm" which normally results in a unified conscious experience. Dysfunctional binding may play a role in anesthetic states, autism, schizophrenia, and neurodegenerative disorders. Further study of the broad spectrum of dissociated states of sleep and wakefulness that are closely linked with states of consciousness and unconsciousness by basic neuroscientists, clinicians, and members of the legal profession will provide scientific, clinical and therapeutic insights, with forensic implications.

  16. Structure and mechanical behavior of human hair.

    Science.gov (United States)

    Yu, Yang; Yang, Wen; Wang, Bin; Meyers, Marc André

    2017-04-01

    The understanding of the mechanical behavior of hair under various conditions broadens our knowledge in biological materials science and contributes to the cosmetic industry. The hierarchical organization of hair is studied from the intermediate filament to the structural levels. The effects of strain rate, relative humidity, and temperature are evaluated. Hair exhibits a high tensile strength, 150-270MPa, which is significantly dependent on strain rate and humidity. The strain-rate sensitivity, approximately 0.06-0.1, is comparable to that of other keratinous materials and common synthetic polymers. The structures of the internal cortex and surface cuticle are affected by the large tensile extension. One distinguishing feature, the unwinding of the α-helix and the possible transformation to β-sheet structure of keratin under tension, which affects the ductility of hair, is analytically evaluated and incorporated into a constitutive equation. A good agreement with the experimental results is obtained. This model elucidates the tensile response of the α-keratin fibers. The contributions of elastic and plastic strains on reloading are evaluated and correlated to structural changes. Copyright © 2016 Elsevier B.V. All rights reserved.

  17. Oxytocin receptor gene polymorphisms are associated with human directed social behavior in dogs (Canis familiaris.

    Directory of Open Access Journals (Sweden)

    Anna Kis

    Full Text Available The oxytocin system has a crucial role in human sociality; several results prove that polymorphisms of the oxytocin receptor gene are related to complex social behaviors in humans. Dogs' parallel evolution with humans and their adaptation to the human environment has made them a useful species to model human social interactions. Previous research indicates that dogs are eligible models for behavioral genetic research, as well. Based on these previous findings, our research investigated associations between human directed social behaviors and two newly described (-212AG, 19131AG and one known (rs8679684 single nucleotide polymorphisms (SNPs in the regulatory regions (5' and 3' UTR of the oxytocin receptor gene in German Shepherd (N = 104 and Border Collie (N = 103 dogs. Dogs' behavior traits have been estimated in a newly developed test series consisting of five episodes: Greeting by a stranger, Separation from the owner, Problem solving, Threatening approach, Hiding of the owner. Buccal samples were collected and DNA was isolated using standard protocols. SNPs in the 3' and 5' UTR regions were analyzed by polymerase chain reaction based techniques followed by subsequent electrophoresis analysis. The gene-behavior association analysis suggests that oxytocin receptor gene polymorphisms have an impact in both breeds on (i proximity seeking towards an unfamiliar person, as well as their owner, and on (ii how friendly dogs behave towards strangers, although the mediating molecular regulatory mechanisms are yet unknown. Based on these results, we conclude that similarly to humans, the social behavior of dogs towards humans is influenced by the oxytocin system.

  18. Social performance cues induce behavioral flexibility in humans

    Directory of Open Access Journals (Sweden)

    Ulf eToelch

    2011-07-01

    Full Text Available Behavioral flexibility allows individuals to react to environmental changes, but changing established behavior carries costs, with unknown benefits. Individuals may thus modify their behavioral flexibility according to the prevailing circumstances. Social information provided by the performance level of others provides one possible cue to assess the potential benefits of changing behavior, since out-performance in similar circumstances indicates that novel behaviors (innovations are potentially useful. We demonstrate that social performance cues, in the form of previous players’ scores in a problem-solving computer game, influence behavioral flexibility. Participants viewed only performance indicators, not the innovative behavior of others. While performance cues (high, low, or no scores had little effect on innovation discovery rates, participants that viewed high scores increased their utilization of innovations, allowing them to exploit the virtual environment more effectively than players viewing low or no scores. Perceived conspecific performance can thus shape human decisions to adopt novel traits, even when the traits employed cannot be copied. This simple mechanism, social performance feedback, could be a driver of both the facultative adoption of innovations and cumulative cultural evolution, processes critical to human success.

  19. Collective unconscious: how gut microbes shape human behavior.

    Science.gov (United States)

    Dinan, Timothy G; Stilling, Roman M; Stanton, Catherine; Cryan, John F

    2015-04-01

    The human gut harbors a dynamic and complex microbial ecosystem, consisting of approximately 1 kg of bacteria in the average adult, approximately the weight of the human brain. The evolutionary formation of a complex gut microbiota in mammals has played an important role in enabling brain development and perhaps sophisticated social interaction. Genes within the human gut microbiota, termed the microbiome, significantly outnumber human genes in the body, and are capable of producing a myriad of neuroactive compounds. Gut microbes are part of the unconscious system regulating behavior. Recent investigations indicate that these microbes majorly impact on cognitive function and fundamental behavior patterns, such as social interaction and stress management. In the absence of microbes, underlying neurochemistry is profoundly altered. Studies of gut microbes may play an important role in advancing understanding of disorders of cognitive functioning and social interaction, such as autism.

  20. HUMAN RESOURCE MANAGEMENT IN TERMS OF BEHAVIORAL ECONOMICS

    Directory of Open Access Journals (Sweden)

    Ewa Mazanowska

    2015-01-01

    Full Text Available Behaviourists believe human capital is seen as the potential in people. They believe that the human resource in the organization are intangible assets embodied in the employees, not the people themselves. Behavioral economics emphasizes that people aren’t owned by the company, only their abilities and skills made available to the employer on the basis of certain legal relations which holds it to manage these assets in a rational way. Recognition of behavioral economics also highlights the aspects of development and human capital perspective, which appear in the may resource Staff in the future. These may be limited to: raise, awareness of capacity, internal aspirations, motives. Human capital management is nothing but a recognition of the relevant characteristics of the potential held within the company Staff and correct its use. As a consequence, it can bring tangible benefits to the organization.

  1. Individual Differences in Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Jeffrey C. Joe; Ronald L. Boring

    2014-06-01

    While human reliability analysis (HRA) methods include uncertainty in quantification, the nominal model of human error in HRA typically assumes that operator performance does not vary significantly when they are given the same initiating event, indicators, procedures, and training, and that any differences in operator performance are simply aleatory (i.e., random). While this assumption generally holds true when performing routine actions, variability in operator response has been observed in multiple studies, especially in complex situations that go beyond training and procedures. As such, complexity can lead to differences in operator performance (e.g., operator understanding and decision-making). Furthermore, psychological research has shown that there are a number of known antecedents (i.e., attributable causes) that consistently contribute to observable and systematically measurable (i.e., not random) differences in behavior. This paper reviews examples of individual differences taken from operational experience and the psychological literature. The impact of these differences in human behavior and their implications for HRA are then discussed. We propose that individual differences should not be treated as aleatory, but rather as epistemic. Ultimately, by understanding the sources of individual differences, it is possible to remove some epistemic uncertainty from analyses.

  2. Balzac and human gait analysis.

    Science.gov (United States)

    Collado-Vázquez, S; Carrillo, J M

    2015-05-01

    People have been interested in movement analysis in general, and gait analysis in particular, since ancient times. Aristotle, Hippocrates, Galen, Leonardo da Vinci and Honoré de Balzac all used observation to analyse the gait of human beings. The purpose of this study is to compare Honoré de Balzac's writings with a scientific analysis of human gait. Honoré de Balzac's Theory of walking and other works by that author referring to gait. Honoré de Balzac had an interest in gait analysis, as demonstrated by his descriptions of characters which often include references to their way of walking. He also wrote a treatise entitled Theory of walking (Théorie de la demarche) in which he employed his keen observation skills to define gait using a literary style. He stated that the walking process is divided into phases and listed the factors that influence gait, such as personality, mood, height, weight, profession and social class, and also provided a description of the correct way of walking. Balzac considered gait analysis to be very important and this is reflected in both his character descriptions and Theory of walking, his analytical observation of gait. In our own technology-dominated times, this serves as a reminder of the importance of observation. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.

  3. Teleology and teleonomy in behavior analysis.

    Science.gov (United States)

    Reese, H W

    1994-01-01

    Teleological descriptions and explanations refer to purpose as consequent to a phenomenon. They become nonteleological if purpose is represented as antecedent to the phenomenon. Such nonteleological statements are called teleonomic, especially when they refer to antecedent genetic "programs." In behavior analysis, purpose is attributed to the organism's history of consequences. Such a history may leave a trace-physiological (mechanism) or mental (cognitivism)-or the issue of traces may be irrelevant (contextualism). The history or trace is antecedent to current responding, and thus is not a teleological concept in the classical sense. It could be called a teleonomic concept, but this designation is undesirable if it implies exclusively genetic programming, because the history or trace is genetically programmed in evolutionary selection but not in ontogenetic selection. Therefore, the concepts of teleology and teleonomy are not useful for behavior analysis, and invoking them can be misleading. The concept of purpose can be useful if it is not reified.

  4. Human Behavior/Social Environment: Past and Present, Future or Folly?

    Science.gov (United States)

    Brooks, Winn Kelly

    1986-01-01

    Human behavior and social environment courses are traditionally the foundation on which the rest of the social work curriculum is based, but their development has been "chaotic." An analysis of 481 graduate courses at 66 graduate schools indicates that formal guidelines have been minimally implemented. (Author/MH)

  5. Novelty, Stress, and Biological Roots in Human Market Behavior

    Directory of Open Access Journals (Sweden)

    Alexey Sarapultsev

    2014-02-01

    Full Text Available Although studies examining the biological roots of human behavior have been conducted since the seminal work Kahneman and Tversky, crises and panics have not disappeared. The frequent occurrence of various types of crises has led some economists to the conviction that financial markets occasionally praise irrational judgments and that market crashes cannot be avoided a priori (Sornette 2009; Smith 2004. From a biological point of view, human behaviors are essentially the same during crises accompanied by stock market crashes and during bubble growth when share prices exceed historic highs. During those periods, most market participants see something new for themselves, and this inevitably induces a stress response in them with accompanying changes in their endocrine profiles and motivations. The result is quantitative and qualitative changes in behavior (Zhukov 2007. An underestimation of the role of novelty as a stressor is the primary shortcoming of current approaches for market research. When developing a mathematical market model, it is necessary to account for the biologically determined diphasisms of human behavior in everyday low-stress conditions and in response to stressors. This is the only type of approach that will enable forecasts of market dynamics and investor behaviors under normal conditions as well as during bubbles and panics.

  6. Novelty, stress, and biological roots in human market behavior.

    Science.gov (United States)

    Sarapultsev, Alexey; Sarapultsev, Petr

    2014-03-01

    Although studies examining the biological roots of human behavior have been conducted since the seminal work Kahneman and Tversky, crises and panics have not disappeared. The frequent occurrence of various types of crises has led some economists to the conviction that financial markets occasionally praise irrational judgments and that market crashes cannot be avoided a priori (Sornette 2009; Smith 2004). From a biological point of view, human behaviors are essentially the same during crises accompanied by stock market crashes and during bubble growth when share prices exceed historic highs. During those periods, most market participants see something new for themselves, and this inevitably induces a stress response in them with accompanying changes in their endocrine profiles and motivations. The result is quantitative and qualitative changes in behavior (Zhukov 2007). An underestimation of the role of novelty as a stressor is the primary shortcoming of current approaches for market research. When developing a mathematical market model, it is necessary to account for the biologically determined diphasisms of human behavior in everyday low-stress conditions and in response to stressors. This is the only type of approach that will enable forecasts of market dynamics and investor behaviors under normal conditions as well as during bubbles and panics.

  7. Simulating irrational human behavior to prevent resource depletion.

    Directory of Open Access Journals (Sweden)

    Anna Sircova

    Full Text Available In a situation with a limited common resource, cooperation between individuals sharing the resource is essential. However, people often act upon self-interest in irrational ways that threaten the long-term survival of the whole group. A lack of sustainable or environmentally responsible behavior is often observed. In this study, we examine how the maximization of benefits principle works in a wider social interactive context of personality preferences in order to gain a more realistic insight into the evolution of cooperation. We used time perspective (TP, a concept reflecting individual differences in orientation towards past, present, or future, and relevant for making sustainable choices. We developed a personality-driven agent-based model that explores the role of personality in the outcomes of social dilemmas and includes multiple facets of diversity: (1 The agents have different behavior strategies: individual differences derived by applying cluster analysis to survey data from 22 countries (N = 10,940 and resulting in 7 cross-cultural profiles of TP; (2 The non-uniform distribution of the types of agents across countries; (3 The diverse interactions between the agents; and (4 diverse responses to those interactions in a well-mixed population. As one of the results, we introduced an index of overall cooperation for each of the 22 countries, which was validated against cultural, economic, and sustainability indicators (HDI, dimensions of national culture, and Environment Performance Index. It was associated with higher human development, higher individualism, lower power distance, and better environmental performance. The findings illustrate how individual differences in TP can be simulated to predict the ways people in different countries solve the personal vs. common gain dilemma in the global limited-resource situation. This interdisciplinary approach to social simulation can be adopted to explain the possible causes of global

  8. The interaction between ICT and human activity-travel behavior

    NARCIS (Netherlands)

    Kwan, M.P.; Dijst, M.J.; Schwanen, T.

    2007-01-01

    The interaction between information and communication technologies (ICT) and human activity-travel behavior has been an important theme in transportation research in recent years. Researchers have recognized that an increase in the use of ICT may lead to changes in the location, timing and duration

  9. Measuring Human Movement Patterns and Behaviors in Public Spaces

    DEFF Research Database (Denmark)

    Nielsen, Søren Zebitz; Gade, Rikke; Moeslund, Thomas B.;

    In order to assess human movement patterns and behaviors in public spaces we present a method using thermal cameras and Computer Vision (CV) technology, combined with the analytical virtues of Geographical Information Systems (GIS), to track people in urban streets and plazas. The method enables...

  10. Industrial Buying Behavior Related to Human Resource Consulting Services

    DEFF Research Database (Denmark)

    Grünbaum, Niels Nolsøe; Hollensen, Svend; Kahle, Lynn

    2013-01-01

    The purpose of this article is to extend the understanding of the industrial buying process in connection with purchasing professional business (B2B) services, specifically human resource (HR) consulting services. Early B2B buying-behavior literature strongly emphasizes the rational aspects...

  11. Industrial Buying Behavior Related to Human Resource Consulting Services

    DEFF Research Database (Denmark)

    Grünbaum, Niels Nolsøe; Hollensen, Svend; Kahle, Lynn

    2013-01-01

    The purpose of this article is to extend the understanding of the industrial buying process in connection with purchasing professional business (B2B) services, specifically human resource (HR) consulting services. Early B2B buying-behavior literature strongly emphasizes the rational aspects...

  12. Counseling Children and Adolescents: Rational Emotive Behavior Therapy and Humanism.

    Science.gov (United States)

    Vernon, Ann

    1996-01-01

    Describes specific parallels between rational emotive behavior therapy and humanism. Places specific emphasis on the application of these principles with children and adolescents. Concepts are illustrated with case studies and a description of the similarities between rational emotive and humanistic, or affective, education. Highlights emotional…

  13. The interaction between ICT and human activity-travel behavior

    NARCIS (Netherlands)

    Kwan, M.P.; Dijst, M.J.; Schwanen, T.

    2007-01-01

    The interaction between information and communication technologies (ICT) and human activity-travel behavior has been an important theme in transportation research in recent years. Researchers have recognized that an increase in the use of ICT may lead to changes in the location, timing and duration

  14. Cognitive Empathy and Emotional Empathy in Human Behavior and Evolution

    Science.gov (United States)

    Smith, Adam

    2006-01-01

    This article presents 7 simple models of the relationship between cognitive empathy (mental perspective taking) and emotional empathy (the vicarious sharing of emotion). I consider behavioral outcomes of the models, arguing that, during human evolution, natural selection may have acted on variation in the relationship between cognitive empathy and…

  15. Common Fallacies About Heredity, Environment, and Human Behavior.

    Science.gov (United States)

    Anastasi, Anne

    Much of our thinking about contemporary social problems reflects tacit presuppositions regarding the operation of heredity and environment in human behavior. These beliefs have important implications for practical decisions. Advances in genetics, psychology, anthropology, and other disciplines have contributed much to a clarification of the…

  16. Counseling Children and Adolescents: Rational Emotive Behavior Therapy and Humanism.

    Science.gov (United States)

    Vernon, Ann

    1996-01-01

    Describes specific parallels between rational emotive behavior therapy and humanism. Places specific emphasis on the application of these principles with children and adolescents. Concepts are illustrated with case studies and a description of the similarities between rational emotive and humanistic, or affective, education. Highlights emotional…

  17. Cognitive Empathy and Emotional Empathy in Human Behavior and Evolution

    Science.gov (United States)

    Smith, Adam

    2006-01-01

    This article presents 7 simple models of the relationship between cognitive empathy (mental perspective taking) and emotional empathy (the vicarious sharing of emotion). I consider behavioral outcomes of the models, arguing that, during human evolution, natural selection may have acted on variation in the relationship between cognitive empathy and…

  18. Empirical Analysis of Customer Behaviors in Chinese E-Commerce

    Directory of Open Access Journals (Sweden)

    Jinlong Wang

    2010-10-01

    Full Text Available With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent years. From the analysis of Chinese E-Commerce market, it is possible to discover customer purchasing patterns or behavior characteristics, which are indispensable knowledge for the expansion of Chinese E-Commerce market. This paper presents an empirical analysis on the sale transactions from the 360buy website based on the analysis of time interval distributions in perspectives of customers. Results reveal that in most situations the time intervals approximately obey the power-law distribution over two orders of magnitudes. Additionally, time interval on customer’s successive purchase can reflect how loyal a customer is to a specific product category. Moreover, we also find an interesting phenomenon about human behaviors that could be related to psychology of customers. In general, customers’ requirements in different product categories are similar. The investigation into individual behaviors may help researchers understand how customers’ group behaviors generated.

  19. Generation of human/rat xenograft animal model for the study of human donor stem cell behaviors in vivo

    Institute of Scientific and Technical Information of China (English)

    Yan Sun; Dong Xiao; Xing-Hua Pan; Ruo-Shuang Zhang; Guang-Hui Cui; Xi-Gu Chen

    2007-01-01

    AIM: To accurately and realistically elucidate human stem cell behaviors In vivo and the fundamental mechanisms controlling human stem cell fates in vivo, which is urgently required in regenerative medicine and treatments for some human diseases, a surrogate human-rat chimera model was developed.METHODS: Human-rat chimeras were achieved by in utero transplanting low-density mononuclear cells from human umbilical cord blood into the fetal rats at 9-11 d of gestation, and subsequently, a variety of methods, including flow cytometry, PCR as well as immunohistochemical assay, were used to test the human donor contribution in the recipients.RESULTS: Of 29 live-born recipients, 19 had the presence of human CD45+ cells in peripheral blood (PB) detected by flow cytometry, while PCR analysis on genomic DNA from 11 different adult tissues showed that 14 selected from flow cytometry-positive 19 animals possessed of donor-derived human cell engraftment in multiple tissues (i.e. liver, spleen, thymus, heart, kidney, blood, lung, muscle, gut and skin) examined at the time of tissue collection, as confirmed by detecting human β2-microglobulin expression using immunohistochemistry.In this xenogeneic system, the engrafted donor-derived human cells persisted in multiple tissues for at least 6 mo after birth. Moreover, transplanted human donor cells underwent site-specific differentiation into CK18-positive human cells in chimeric liver and CD45-positive human cells in chimeric spleen and thymus of recipients.CONCLUSION: Taken together, these findings suggest that we successfully developed human-rat chimeras, in which xenogeneic human cells exist up to 6 mo later. This humanized small animal model, which offers an in vivo environment more closely resembling to the situations in human, provides an invaluable and effective approach for in vivo investigating human stem cell behaviors, and further in vivo examining fundamental mechanisms controlling human stem cell fates in the future

  20. Detecting Underlying Stance Adopted When Human Construe Behavior of Entities

    Science.gov (United States)

    Terada, Kazunori; Ono, Kouhei; Ito, Akira

    Whether or not humans can construe the behaviors of entities depends on their psychological stance. The philosopher Dennett proposed human cognitive strategies (three stances) in which humans construe the behavior of other animated objects, including other humans, artifacts, and physical phenomena:‘intentional’, ‘design’ and ‘physical’ stances. Detecting the psychological stance taken toward entities is difficult, because such mental state attribution is a subjective cognitive process and hard to measure. In the present study, we proposed a novel method for detecting underlying stance adopted when human construe behavior of entities. In our method the subject was asked to select the most suitable action sequence shown in three movies each of which representing Dennett’s three stances. To valid our method we have conducted an experiment in which the subjects were presented thirty short videos and asked to compare them to the three movies. The result indicated that the subjects did not focused on prior knowledge about the entity but could focused on motion characteristics per se, owing to simple and typical motion of an abstract shaped object.

  1. Human Papillomavirus Vaccination at a Time of Changing Sexual Behavior.

    Science.gov (United States)

    Baussano, Iacopo; Lazzarato, Fulvio; Brisson, Marc; Franceschi, Silvia

    2016-01-01

    Human papillomavirus (HPV) prevalence varies widely worldwide. We used a transmission model to show links between age-specific sexual patterns and HPV vaccination effectiveness. We considered rural India and the United States as examples of 2 heterosexual populations with traditional age-specific sexual behavior and gender-similar age-specific sexual behavior, respectively. We simulated these populations by using age-specific rates of sexual activity and age differences between sexual partners and found that transitions from traditional to gender-similar sexual behavior in women sexual behavior and that increased risk for HPV infection attributable to transition is preventable by early vaccination. Our study highlights the importance of using time-limited opportunities to introduce HPV vaccination in traditional populations before changes in age-specific sexual patterns occur.

  2. Chapter 12: Human microbiome analysis.

    Directory of Open Access Journals (Sweden)

    Xochitl C Morgan

    Full Text Available Humans are essentially sterile during gestation, but during and after birth, every body surface, including the skin, mouth, and gut, becomes host to an enormous variety of microbes, bacterial, archaeal, fungal, and viral. Under normal circumstances, these microbes help us to digest our food and to maintain our immune systems, but dysfunction of the human microbiota has been linked to conditions ranging from inflammatory bowel disease to antibiotic-resistant infections. Modern high-throughput sequencing and bioinformatic tools provide a powerful means of understanding the contribution of the human microbiome to health and its potential as a target for therapeutic interventions. This chapter will first discuss the historical origins of microbiome studies and methods for determining the ecological diversity of a microbial community. Next, it will introduce shotgun sequencing technologies such as metagenomics and metatranscriptomics, the computational challenges and methods associated with these data, and how they enable microbiome analysis. Finally, it will conclude with examples of the functional genomics of the human microbiome and its influences upon health and disease.

  3. 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

  4. Human behavioral assessments in current research of Parkinson's disease.

    Science.gov (United States)

    Asakawa, Tetsuya; Fang, Huan; Sugiyama, Kenji; Nozaki, Takao; Kobayashi, Susumu; Hong, Zhen; Suzuki, Katsuaki; Mori, Norio; Yang, Yilin; Hua, Fei; Ding, Guanghong; Wen, Guoqiang; Namba, Hiroki; Xia, Ying

    2016-09-01

    Parkinson's disease (PD) is traditionally classified as a movement disorder because patients mainly complain about motor symptoms. Recently, non-motor symptoms of PD have been recognized by clinicians and scientists as early signs of PD, and they are detrimental factors in the quality of life in advanced PD patients. It is crucial to comprehensively understand the essence of behavioral assessments, from the simplest measurement of certain symptoms to complex neuropsychological tasks. We have recently reviewed behavioral assessments in PD research with animal models (Asakawa et al., 2016). As a companion volume, this article will systematically review the behavioral assessments of motor and non-motor PD symptoms of human patients in current research. The major aims of this article are: (1) promoting a comparative understanding of various behavioral assessments in terms of the principle and measuring indexes; (2) addressing the major strengths and weaknesses of these behavioral assessments for a better selection of tasks/tests in order to avoid biased conclusions due to inappropriate assessments; and (3) presenting new concepts regarding the development of wearable devices and mobile internet in future assessments. In conclusion we emphasize the importance of improving the assessments for non-motor symptoms because of their complex and unique mechanisms in human PD brains.

  5. A development of the Human Factors Assessment Guide for the Study of Erroneous Human Behaviors in Nuclear Power Plants

    Energy Technology Data Exchange (ETDEWEB)

    Oh, Yeon Ju; Lee, Yong Hee; Jang, Tong Il; Kim, Sa Kil [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2014-08-15

    The aim of this paper is to describe a human factors assessment guide for the study of the erroneous characteristic of operators in nuclear power plants (NPPs). We think there are still remaining the human factors issues such as an uneasy emotion, fatigue and stress, varying mental workload situation by digital environment, and various new type of unsafe response to digital interface for better decisions, although introducing an advanced main control room. These human factors issues may not be resolved through the current human reliability assessment which evaluates the total probability of a human error occurring throughout the completion of a specific task. This paper provides an assessment guide for the human factors issues a set of experimental methodology, and presents an assessment case of measurement and analysis especially from neuro physiology approach. It would be the most objective psycho-physiological research technique on human performance for a qualitative analysis considering the safety aspects. This paper can be trial to experimental assessment of erroneous behaviors and their influencing factors, and it can be used as an index for recognition and a method to apply human factors engineering V and V, which is required as a mandatory element of human factor engineering program plan for a NPP design.

  6. Understanding the heavy-tailed dynamics in human behavior

    Science.gov (United States)

    Ross, Gordon J.; Jones, Tim

    2015-06-01

    The recent availability of electronic data sets containing large volumes of communication data has made it possible to study human behavior on a larger scale than ever before. From this, it has been discovered that across a diverse range of data sets, the interevent times between consecutive communication events obey heavy-tailed power law dynamics. Explaining this has proved controversial, and two distinct hypotheses have emerged. The first holds that these power laws are fundamental, and arise from the mechanisms such as priority queuing that humans use to schedule tasks. The second holds that they are statistical artifacts which only occur in aggregated data when features such as circadian rhythms and burstiness are ignored. We use a large social media data set to test these hypotheses, and find that although models that incorporate circadian rhythms and burstiness do explain part of the observed heavy tails, there is residual unexplained heavy-tail behavior which suggests a more fundamental cause. Based on this, we develop a quantitative model of human behavior which improves on existing approaches and gives insight into the mechanisms underlying human interactions.

  7. The Humanism of Rational Emotive Behavior Therapy and Other Cognitive Behavior Therapies.

    Science.gov (United States)

    Ellis, Albert

    1996-01-01

    Describes aspects of rational emotive behavior therapy (REBT). REBT shows how people can both create and uncreate many of their emotional disturbances. It is a theory of personality which avoids devotion to any kind of magic and supernaturalism and emphasizes unconditional self-acceptance, antiabsolutism, uncertainty, and human fallibility. (RJM)

  8. The Humanism of Rational Emotive Behavior Therapy and Other Cognitive Behavior Therapies.

    Science.gov (United States)

    Ellis, Albert

    1996-01-01

    Describes aspects of rational emotive behavior therapy (REBT). REBT shows how people can both create and uncreate many of their emotional disturbances. It is a theory of personality which avoids devotion to any kind of magic and supernaturalism and emphasizes unconditional self-acceptance, antiabsolutism, uncertainty, and human fallibility. (RJM)

  9. Chaos in human behavior: the case of work motivation.

    Science.gov (United States)

    Navarro, José; Arrieta, Carlos

    2010-05-01

    This study considers the complex dynamics of work motivation. Forty-eight employees completed a work-motivation diary several times per day over a period of four weeks. The obtained time series were analysed using different methodologies derived from chaos theory (i.e. recurrence plots, Lyapunov exponents, correlation dimension and surrogate data). Results showed chaotic dynamics in 75% of cases. The findings confirm the universality of chaotic behavior within human behavior, challenge some of the underlying assumptions on which work motivation theories are based, and suggest that chaos theory may offer useful and relevant information on how this process is managed within organizations.

  10. Discrimination of complex human behavior by pigeons (Columba livia and humans.

    Directory of Open Access Journals (Sweden)

    Muhammad A J Qadri

    Full Text Available The cognitive and neural mechanisms for recognizing and categorizing behavior are not well understood in non-human animals. In the current experiments, pigeons and humans learned to categorize two non-repeating, complex human behaviors ("martial arts" vs. "Indian dance". Using multiple video exemplars of a digital human model, pigeons discriminated these behaviors in a go/no-go task and humans in a choice task. Experiment 1 found that pigeons already experienced with discriminating the locomotive actions of digital animals acquired the discrimination more rapidly when action information was available than when only pose information was available. Experiments 2 and 3 found this same dynamic superiority effect with naïve pigeons and human participants. Both species used the same combination of immediately available static pose information and more slowly perceived dynamic action cues to discriminate the behavioral categories. Theories based on generalized visual mechanisms, as opposed to embodied, species-specific action networks, offer a parsimonious account of how these different animals recognize behavior across and within species.

  11. Behavioral responses associated with a human-mediated predator shelter.

    Directory of Open Access Journals (Sweden)

    Graeme Shannon

    Full Text Available Human activities in protected areas can affect wildlife populations in a similar manner to predation risk, causing increases in movement and vigilance, shifts in habitat use and changes in group size. Nevertheless, recent evidence indicates that in certain situations ungulate species may actually utilize areas associated with higher levels of human presence as a potential refuge from disturbance-sensitive predators. We now use four-years of behavioral activity budget data collected from pronghorn (Antilocapra americana and elk (Cervus elephus in Grand Teton National Park, USA to test whether predictable patterns of human presence can provide a shelter from predatory risk. Daily behavioral scans were conducted along two parallel sections of road that differed in traffic volume--with the main Teton Park Road experiencing vehicle use that was approximately thirty-fold greater than the River Road. At the busier Teton Park Road, both species of ungulate engaged in higher levels of feeding (27% increase in the proportion of pronghorn feeding and 21% increase for elk, lower levels of alert behavior (18% decrease for pronghorn and 9% decrease for elk and formed smaller groups. These responses are commonly associated with reduced predatory threat. Pronghorn also exhibited a 30% increase in the proportion of individuals moving at the River Road as would be expected under greater exposure to predation risk. Our findings concur with the 'predator shelter hypothesis', suggesting that ungulates in GTNP use human presence as a potential refuge from predation risk, adjusting their behavior accordingly. Human activity has the potential to alter predator-prey interactions and drive trophic-mediated effects that could ultimately impact ecosystem function and biodiversity.

  12. Human behavior understanding for assisted living by means of hierarchical context free grammars

    Science.gov (United States)

    Rosani, A.; Conci, N.; De Natale, F. G. B.

    2014-03-01

    Human behavior understanding has attracted the attention of researchers in various fields over the last years. Recognizing behaviors with sufficient accuracy from sensors analysis is still an unsolved problem, because of many reasons, including the low accuracy of the data, differences in the human behaviors as well as the gap between low-level sensors data and high-level scene semantics. In this context, an application that is attracting the interest of both public and industrial entities is the possibility to allow elderly or physically impaired people conducting a normal life at home. Ambient intelligence (AmI) technologies, intended as the possibility of automatically detecting and reacting to the status of the environment and of the persons, is probably the major enabling factor for the achievement of such an ambitious objective. AmI technologies require suitable networks of sensors and actuators, as well as adequate processing and communication technologies. In this paper we propose a solution based on context free grammars for human behavior understanding with an application to assisted living. First, the grammars of the different actions performed by a person in his/her daily life are discovered. Then, a longterm analysis of the behavior is used to generate a control grammar, taking care of the context when an action is performed, and adding semantics. The proposed framework is tested on a dataset acquired in a real environment and compared with state of the art methods already available for the problem considered.

  13. Computational Analysis of Pharmacokinetic Behavior of Ampicillin

    Directory of Open Access Journals (Sweden)

    Mária Ďurišová

    2016-07-01

    Full Text Available orrespondence: Institute of Experimental Pharmacology and Toxicology, Slovak Academy of Sciences, 841 04 Bratislava, Slovak Republic. Phone + 42-1254775928; Fax +421254775928; E-mail: maria.durisova@savba.sk 84 RESEARCH ARTICLE The objective of this study was to perform a computational analysis of the pharmacokinetic behavior of ampicillin, using data from the literature. A method based on the theory of dynamic systems was used for modeling purposes. The method used has been introduced to pharmacokinetics with the aim to contribute to the knowledge base in pharmacokinetics by including the modeling method which enables researchers to develop mathematical models of various pharmacokinetic processes in an identical way, using identical model structures. A few examples of a successful use of the modeling method considered here in pharmacokinetics can be found in full texts articles available free of charge at the website of the author, and in the example given in the this study. The modeling method employed in this study can be used to develop a mathematical model of the pharmacokinetic behavior of any drug, under the condition that the pharmacokinetic behavior of the drug under study can be at least partially approximated using linear models.

  14. Sociability and gazing toward humans in dogs and wolves: Simple behaviors with broad implications.

    Science.gov (United States)

    Bentosela, Mariana; Wynne, C D L; D'Orazio, M; Elgier, A; Udell, M A R

    2016-01-01

    Sociability, defined as the tendency to approach and interact with unfamiliar people, has been found to modulate some communicative responses in domestic dogs, including gaze behavior toward the human face. The objective of this study was to compare sociability and gaze behavior in pet domestic dogs and in human-socialized captive wolves in order to identify the relative influence of domestication and learning in the development of the dog-human bond. In Experiment 1, we assessed the approach behavior and social tendencies of dogs and wolves to a familiar and an unfamiliar person. In Experiment 2, we compared the animal's duration of gaze toward a person's face in the presence of food, which the animals could see but not access. Dogs showed higher levels of interspecific sociability than wolves in all conditions, including those where attention was unavailable. In addition, dogs gazed longer at the person's face than wolves in the presence of out-of-reach food. The potential contributions of domestication, associative learning, and experiences during ontogeny to prosocial behavior toward humans are discussed. © 2016 Society for the Experimental Analysis of Behavior.

  15. Understanding the Heavy Tailed Dynamics in Human Behavior

    CERN Document Server

    Ross, Gordon J

    2015-01-01

    The recent availability of electronic datasets containing large volumes of communication data has made it possible to study human behavior on a larger scale than ever before. From this, it has been discovered that across a diverse range of data sets, the inter-event times between consecutive communication events obey heavy tailed power law dynamics. Explaining this has proved controversial, and two distinct hypotheses have emerged. The first holds that these power laws are fundamental, and arise from the mechanisms such as priority queuing that humans use to schedule tasks. The second holds that they are a statistical artifact which only occur in aggregated data when features such as circadian rhythms and burstiness are ignored. We use a large social media data set to test these hypotheses, and find that although models that incorporate circadian rhythms and burstiness do explain part of the observed heavy tails, there is residual unexplained heavy tail behavior which suggests a more fundamental cause. Based ...

  16. Arginine vasopressin and oxytocin modulate human social behavior.

    Science.gov (United States)

    Ebstein, Richard P; Israel, Salomon; Lerer, Elad; Uzefovsky, Florina; Shalev, Idan; Gritsenko, Inga; Riebold, Mathias; Salomon, Shahaf; Yirmiya, Nurit

    2009-06-01

    Increasing evidence suggests that two nonapeptides, arginine vasopressin and oxytocin, shape human social behavior in both nonclinical and clinical subjects. Evidence is discussed that in autism spectrum disorders genetic polymorphisms in the vasopressin-oxytocin pathway, notably the arginine vasopressin receptor 1a (AVPR1a), the oxytocin receptor (OXTR), neurophysin I and II, and CD38 (recently shown to be critical for social behavior by mediating oxytocin secretion) contribute to deficits in socialization skills in this group of patients. We also present first evidence that CD38 expression in lymphoblastoid cells derived from subjects diagnosed with autism is correlated with social skill phenotype inventoried by the Vineland Adaptive Behavioral Scales. Additionally, we discuss molecular genetic evidence that in nonclinical subjects both AVPR1a and OXTR genes contribute to prosocial or altruistic behavior inventoried by two experimental paradigms, the dictator game and social values orientation. The role of the AVPR1a is also analyzed in prepulse inhibition. Prepulse inhibition of the startle response to auditory stimuli is a largely autonomic response that resonates with social cognition in both animal models and humans. First results are presented showing that intranasal administration of arginine vasopressin increases salivary cortisol levels in the Trier Social Stress test. To summarize, accumulating studies employing a broad array of cutting-edge tools in psychology, neuroeconomics, molecular genetics, pharmacology, electrophysiology, and brain imaging are beginning to elaborate the intriguing role of oxytocin and arginine vasopressin in human social behavior. We expect that future studies will continue this advance and deepen our understanding of these complex events.

  17. Human Reliability Analysis for Small Modular Reactors

    Energy Technology Data Exchange (ETDEWEB)

    Ronald L. Boring; David I. Gertman

    2012-06-01

    Because no human reliability analysis (HRA) method was specifically developed for small modular reactors (SMRs), the application of any current HRA method to SMRs represents tradeoffs. A first- generation HRA method like THERP provides clearly defined activity types, but these activity types do not map to the human-system interface or concept of operations confronting SMR operators. A second- generation HRA method like ATHEANA is flexible enough to be used for SMR applications, but there is currently insufficient guidance for the analyst, requiring considerably more first-of-a-kind analyses and extensive SMR expertise in order to complete a quality HRA. Although no current HRA method is optimized to SMRs, it is possible to use existing HRA methods to identify errors, incorporate them as human failure events in the probabilistic risk assessment (PRA), and quantify them. In this paper, we provided preliminary guidance to assist the human reliability analyst and reviewer in understanding how to apply current HRA methods to the domain of SMRs. While it is possible to perform a satisfactory HRA using existing HRA methods, ultimately it is desirable to formally incorporate SMR considerations into the methods. This may require the development of new HRA methods. More practicably, existing methods need to be adapted to incorporate SMRs. Such adaptations may take the form of guidance on the complex mapping between conventional light water reactors and small modular reactors. While many behaviors and activities are shared between current plants and SMRs, the methods must adapt if they are to perform a valid and accurate analysis of plant personnel performance in SMRs.

  18. [Representation and mathematical analysis of human corneal surface].

    Science.gov (United States)

    Tălu, Stefan; Tălu, Mihai; Giovanzana, Stefano

    2011-01-01

    In the description and analysis of human corneal surface are used various mathematical models based on parametric representations, used in biomechanical studies and 3D solid modeling of the cornea. Mathematical models are important into the biomechanics of the cornea to model the corneal behavior. Corneal biomechanics also has the potential to improve outcomes in refractive surgery. The objective of this paper is to present the most representative mathematical models currently used for modeling of human corneal in optics and biomechanics fields.

  19. Reassembling the Social Environment: A Network Approack to Human Behavior

    OpenAIRE

    Dhrubodhi Mukherjee

    2007-01-01

    This paper critically examines the influence of the structural elements of human behavior that are often neglected in social work literature (Robbins et al., 1998). It incorporates a new multi-theoretical framework that critically examines the significance of a network approach in analyzing social, ideological, and economic structures and their influence on individual actors. This paper discusses two interrelated theories: social network theory and social capital theory, and critiques their r...

  20. Health, Human Capital, and Behavior Change: Essays in Development Microeconomics

    OpenAIRE

    Kirk, Angeli Elise

    2016-01-01

    This dissertation combines three empirical studies of household behaviors as they relate to investment in health and human capital in developing countries. The first explores how changes in children's nutrition in Uganda correspond to composition of a household's income. The second studies measurement activities in a cookstove intervention in Darfur, Sudan, with insights into what may be missed in traditional evaluation approaches as well as how technology adoption may benefit from an uninten...

  1. Some theoretical aspects of human categorization behavior: similarity and generalization

    OpenAIRE

    Jäkel, Frank

    2007-01-01

    Explanations of human categorization behavior often invoke similarity. Stimuli that are similar to each other are grouped together whereas stimuli that are very different are kept separate. Despite serious problems in defining similarity, both conceptually and experimentally, this is the prevailing view of categorization in prototype models (Posner & Keele, 1968; Reed, 1972) and exemplar models (Medin & Schaffer, 1978; Nosofsky, 1986). This is also the prevailing approach in machine learning ...

  2. Human handling promotes compliant behavior in adult laboratory rabbits.

    Science.gov (United States)

    Swennes, Alton G; Alworth, Leanne C; Harvey, Stephen B; Jones, Carolyn A; King, Christopher S; Crowell-Davis, Sharon L

    2011-01-01

    Routine laboratory procedures can be stressful for laboratory animals. We wanted to determine whether human handling of adult rabbits could induce a degree of habituation, reducing stress and facilitating research-related manipulation. To this end, adult New Zealand white rabbits were handled either frequently or minimally. After being handled over 3 wk, these rabbits were evaluated by novel personnel and compared with minimally handled controls. Evaluators subjectively scored the rabbits for their relative compliance or resistance to being scruffed and removed from their cages, being transported to a treatment room, and their behavior at all stages of the exercise. Upon evaluation, handled rabbits scored significantly more compliant than nontreated controls. During evaluation, behaviors that the rabbits displayed when they were approached in their cages and while being handled outside their cages were recorded and compared between study groups. Handled rabbits displayed behavior consistent with a reduction in human-directed fear. This study illustrates the potential for handling to improve compliance in laboratory procedures and reduce fear-related behavior in laboratory rabbits. Such handling could be used to improve rabbit welfare through the reduction of stress and exposure to novel stimuli.

  3. Consumer Behavior Analysis of Green Food

    Directory of Open Access Journals (Sweden)

    Chao Luo

    2015-08-01

    Full Text Available This study uses empirical research methods, based on detailed analysis of the food transaction big data. It use descriptive statistical method to analyze the current situation of cognitive and behavioral characteristics of the green food and it conducted data mining of factors affecting consumer buying green food. Multiple linear regression analysis have shown that the price factor is an important factor affecting consumer buying green food, next are food quality and health awareness and product awareness is one of the small degree of influence. However, the convenience of purchase has no significant effect on buying green food. At last, this study aiming factors that affect consumer purchasing choice, proposed some suggestions to expand the eco-labeling of food consumption.

  4. Training together: how another human's presence affects behavior during virtual human-based team training

    Directory of Open Access Journals (Sweden)

    Andrew Robb

    2016-08-01

    Full Text Available Despite research showing that team training can lead to strong improvements in team performance, logistical difficulties can prevent team training programs from being adopted on a large scale. A proposed solution to these difficulties is the use of virtual humans to replace missing teammates. Existing research evaluating the use of virtual humans for team training has been conducted in settings involving a single human trainee. However, in the real world multiple human trainees would most likely train together. In this paper, we explore how the presence of a second human trainee can alter behavior during a medical team training program. Ninety-two nurses and surgical technicians participated in a medical training exercise, where they worked with a virtual surgeon and virtual anesthesiologist to prepare a simulated patient for surgery. The agency of the nurse and the surgical technician were varied between three conditions: human nurses and surgical technicians working together; human nurses working with a virtual surgical technician; and human surgical technicians working with a virtual nurse. Variations in agency did not produce statistically significant differences in the training outcomes, but several notable differences were observed in other aspects of the team's behavior. Specifically, when working with a virtual nurse, human surgical technicians were more likely to assist with speaking up about patient safety issues that were outside of their normal responsibilities; human trainees spent less time searching for a missing item when working with a virtual partner, likely because the virtual partner was physically unable to move throughout the room and assist with the searching process; and more breaks in presence were observed when two human teammates were present. These results show that some behaviors may be influenced by the presence of multiple human trainees, though these behaviors may not impinge on core training goals. When

  5. The human factor: behavioral and neural correlates of humanized perception in moral decision making.

    Directory of Open Access Journals (Sweden)

    Jasminka Majdandžić

    Full Text Available The extent to which people regard others as full-blown individuals with mental states ("humanization" seems crucial for their prosocial motivation towards them. Previous research has shown that decisions about moral dilemmas in which one person can be sacrificed to save multiple others do not consistently follow utilitarian principles. We hypothesized that this behavior can be explained by the potential victim's perceived humanness and an ensuing increase in vicarious emotions and emotional conflict during decision making. Using fMRI, we assessed neural activity underlying moral decisions that affected fictitious persons that had or had not been experimentally humanized. In implicit priming trials, participants either engaged in mentalizing about these persons (Humanized condition or not (Neutral condition. In subsequent moral dilemmas, participants had to decide about sacrificing these persons' lives in order to save the lives of numerous others. Humanized persons were sacrificed less often, and the activation pattern during decisions about them indicated increased negative affect, emotional conflict, vicarious emotions, and behavioral control (pgACC/mOFC, anterior insula/IFG, aMCC and precuneus/PCC. Besides, we found enhanced effective connectivity between aMCC and anterior insula, which suggests increased emotion regulation during decisions affecting humanized victims. These findings highlight the importance of others' perceived humanness for prosocial behavior - with aversive affect and other-related concern when imagining harming more "human-like" persons acting against purely utilitarian decisions.

  6. Behavior analysis and the growth of behavioral pharmacology.

    Science.gov (United States)

    Laties, Victor G

    2003-01-01

    Psychologists, particularly those influenced by the work of B. F. Skinner, played a major part in the development of behavioral pharmacology in the 1950s and 1960s. Revolutionary changes in pharmacology and psychiatry, including the discovery of powerful therapeutic agents such as chlorpromazine and reserpine, had produced a surge of interest in drug research. Pharmaceutical companies began hiring psychologists with operant conditioning backgrounds so as to compete successfully in the search for new drugs. Psychologists, most of whom were skilled in the behavior-analytic approach, started to assume prominent positions as authors and editors for the Journal of Pharmacology and Experimental Therapeutics as its emphasis on behavior increased. This also proved true with the other publications founded to deal with the popularity of behavioral pharmacology. Especially important were contributions by B. F. Skinner, Peter B. Dews, and Joseph V. Brady.

  7. An Objective Comparison of Applied Behavior Analysis and Organizational Behavior Management Research

    Science.gov (United States)

    Culig, Kathryn M.; Dickinson, Alyce M.; McGee, Heather M.; Austin, John

    2005-01-01

    This paper presents an objective review, analysis, and comparison of empirical studies targeting the behavior of adults published in Journal of Applied Behavior Analysis (JABA) and Journal of Organizational Behavior Management (JOBM) between 1997 and 2001. The purpose of the comparisons was to identify similarities and differences with respect to…

  8. Discriminating Drivers through Human Factor and Behavioral Difference

    Directory of Open Access Journals (Sweden)

    Ju Seok Oh

    2011-05-01

    Full Text Available Since Greenwood and Woods' (1919 study in tendency of accident, many researchers have insisted that various human factors (sensation seeking, anger, anxiety are highly correlated with reckless driving and traffic accidents. Oh and Lee (2011 designed the Driving Behavior Determinants Questionnaire, a psychological tool to predict danger level of drivers and discriminate them into three groups (normal, unintentionally reckless, and intentionally reckless by their characteristics, attitude, and expected reckless behavior level. This tool's overall accuracy of discrimination was 70%. This study aimed to prove that the discrimination reflects the behavioral difference of drivers. Twenty-four young drivers were requested to react to the visual stimuli (tests for subjective speed sense, simple visual reaction time, and left turning at own risk. The results showed no differences in subjective speed sense among the driver groups, which means drivers' excessive speeding behaviors occur due to intention based on personality and attitude, not because of sensory disorders. In addition, there were no differences in simple reaction time among driver groups. However, the results of the ‘Left turning at drivers’ own risk task” revealed significant group differences. All reckless drivers showed a greater degree of dangerous left turning behaviors than the normal group did.

  9. Multicultural Alliance of Behavior Analysis Standards for Cultural Competence in Behavior Analysis

    Science.gov (United States)

    Fong, Elizabeth Hughes; Tanaka, Sakurako

    2013-01-01

    The United States Census bureau projects there will be significant increases in racial and ethnic diversity over the next four decades, in part due to international migration (Guarneri & Ortman, 2009). Due to the increase in culturally diverse populations working within the framework of behavior analysis, clinicians must ensure that they are…

  10. Human motion behavior while interacting with an industrial robot.

    Science.gov (United States)

    Bortot, Dino; Ding, Hao; Antonopolous, Alexandros; Bengler, Klaus

    2012-01-01

    Human workers and industrial robots both have specific strengths within industrial production. Advantageously they complement each other perfectly, which leads to the development of human-robot interaction (HRI) applications. Bringing humans and robots together in the same workspace may lead to potential collisions. The avoidance of such is a central safety requirement. It can be realized with sundry sensor systems, all of them decelerating the robot when the distance to the human decreases alarmingly and applying the emergency stop, when the distance becomes too small. As a consequence, the efficiency of the overall systems suffers, because the robot has high idle times. Optimized path planning algorithms have to be developed to avoid that. The following study investigates human motion behavior in the proximity of an industrial robot. Three different kinds of encounters between the two entities under three robot speed levels are prompted. A motion tracking system is used to capture the motions. Results show, that humans keep an average distance of about 0,5m to the robot, when the encounter occurs. Approximation of the workbenches is influenced by the robot in ten of 15 cases. Furthermore, an increase of participants' walking velocity with higher robot velocities is observed.

  11. Following Human Footsteps: Proposal of a Decision Theory Based on Human Behavior

    Science.gov (United States)

    Mahmud, Faisal

    2011-01-01

    Human behavior is a complex nature which depends on circumstances and decisions varying from time to time as well as place to place. The way a decision is made either directly or indirectly related to the availability of the options. These options though appear at random nature, have a solid directional way for decision making. In this paper, a decision theory is proposed which is based on human behavior. The theory is structured with model sets that will show the all possible combinations for making a decision, A virtual and simulated environment is considered to show the results of the proposed decision theory

  12. Human Sperm Competition: A Comparative Evolutionary Analysis

    Directory of Open Access Journals (Sweden)

    Michael N. Pham

    2014-08-01

    Full Text Available Sperm competition occurs when a female copulates with two or more males within a sufficiently brief time period, resulting in sperm of the different males competing to fertilize ova. Sperm competition has been documented or inferred to occur across several species. We address the evidence for sperm competition in humans by reviewing literature indicating apparently convergent adaptations to sperm competition in humans and non-humans. We discuss future research directions, and conclude that the evidence for anatomical, biological, physiological, and behavioral adaptations to human sperm competition provides compelling evidence that sperm competition has been a recurrent feature of human evolutionary history.

  13. Support Vector Machine-Based Human Behavior Classification in Crowd through Projection and Star Skeletonization

    Directory of Open Access Journals (Sweden)

    Yogameena, B.

    2010-01-01

    Full Text Available Problem statement: Detection of individual’s abnormal human behaviors in the crowd has become a critical problem because in the event of terror strikes. This study presented a real-time video surveillance system which classifies normal and abnormal behaviors in crowds. The aim of this research was to provide a system which can aid in monitoring crowded urban environments. Approach: The proposed behaviour classification was through projection which separated individuals and using star skeletonization the features like body posture and the cyclic motion cues were obtained. Using these cues the Support Vector Machine (SVM classified the normal and abnormal behaviors of human. Results: Experimental results demonstrated the method proposed was robust and efficient in the classification of normal and abnormal human behaviors. A comparative study of classification accuracy between principal component analysis and Support Vector Machine (SVM classification was also presented. Conclusion: The proposed method classified the behavior such as running people in a crowded environment, bending down movement while most are walking or standing, a person carrying a long bar and a person waving hand in the crowd is classified.

  14. 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

  15. A Survey of Advances in Vision-Based Human Motion Capture and Analysis

    DEFF Research Database (Denmark)

    Moeslund, Thomas B.; Hilton, Adrian; Krüger, Volker

    2006-01-01

    This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant r...... actions and behavior. This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement....

  16. Intranasal administration of oxytocin increases human aggressive behavior.

    Science.gov (United States)

    Ne'eman, R; Perach-Barzilay, N; Fischer-Shofty, M; Atias, A; Shamay-Tsoory, S G

    2016-04-01

    Considering its role in prosocial behaviors, oxytocin (OT) has been suggested to diminish levels of aggression. Nevertheless, recent findings indicate that oxytocin may have a broader influence on increasing the salience of social stimuli and may therefore, under certain circumstances, increase antisocial behaviors such as aggression. This controversy led to the following speculations: If indeed oxytocin promotes primarily prosocial behavior, administration of OT is expected to diminish levels of aggression. However, if oxytocin mainly acts to increase the salience of social stimuli, it is expected to elevate levels of aggression following provocation. In order to test this assumption we used the Social Orientation Paradigm (SOP), a monetary game played against a fictitious partner that allows measuring three types of responses in the context of provocation: an aggressive response - reducing a point from the fictitious partner, an individualistic response - adding a point to oneself, and a collaborative response - adding half a point to the partner and half a point to oneself. In the current double-blind, placebo-controlled, within-subject study design, 45 participants completed the SOP task following the administration of oxytocin or placebo. The results indicated that among subjects naïve to the procedure oxytocin increased aggressive responses in comparison with placebo. These results support the saliency hypothesis of oxytocin and suggest that oxytocin plays a complex role in the modulation of human behavior.

  17. Human papillomavirus vaccination and sexual behavior in young women.

    Science.gov (United States)

    Rysavy, Mary B; Kresowik, Jessica D K; Liu, Dawei; Mains, Lindsay; Lessard, Megan; Ryan, Ginny L

    2014-04-01

    To compare sexual attitudes and behaviors of young women who have received or declined the HPV vaccine. Cross-sectional survey. Obstetrics and gynecology and pediatrics clinics at a large, Midwestern, academic health center. 223 young women (ages 13-24): 153 who had received HPV vaccination and 70 with no prior HPV vaccination. Sexual behaviors; attitudes toward sexual activity. Vaccinated young women were slightly but significantly younger than unvaccinated (mean age 19.2 vs 20.0). Both groups showed a large percentage of participants engaging in high-risk sexual behavior (75% vs 77%). The mean age at sexual debut was not significantly different between the groups (16.8 vs 17.0) nor was the average number of sexual partners (6.6 for both). Unvaccinated participants were more likely to have been pregnant (20% vs 8.6%, P = .016), although this difference was not significant in multivariate analysis CI [0.902-5.177]. Specific questions regarding high-risk sexual behaviors and attitudes revealed no significant differences between the groups. We found that sexual behaviors, including high-risk behaviors, were similar between young women who had and had not received HPV vaccination. Our findings provide no support for suggestions that the vaccine is associated with increased sexual activity. Importantly, we found that young women in our population are sexually active at a young age and are engaged in high-risk behaviors, affirming the importance of early vaccination. Copyright © 2014 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

  18. Rheology of human blood plasma: Viscoelastic versus Newtonian behavior

    CERN Document Server

    Brust, M; Pan, L; Garcia, M; Arratia, P E; Wagner, C; 10.1103/PhysRevLett.110.078305

    2013-01-01

    We investigate the rheological characteristics of human blood plasma in shear and elongational flows. While we can confirm a Newtonian behavior in shear flow within experimental resolution, we find a viscoelastic behavior of blood plasma in the pure extensional flow of a capillary break-up rheometer. The influence of the viscoelasticity of blood plasma on capillary blood flow is tested in a microfluidic device with a contraction-expansion geometry. Differential pressure measurements revealed that the plasma has a pronounced flow resistance compared to that of pure water. Supplementary measurements indicate that the viscoelasticity of the plasma might even lead to viscoelastic instabilities under certain conditions. Our findings show that the viscoelastic properties of plasma should not be ignored in future studies on blood flow.

  19. Endocrinology of human female sexuality, mating, and reproductive behavior.

    Science.gov (United States)

    Motta-Mena, Natalie V; Puts, David A

    2016-11-17

    Hormones orchestrate and coordinate human female sexual development, sexuality, and reproduction in relation to three types of phenotypic changes: life history transitions such as puberty and childbirth, responses to contextual factors such as caloric intake and stress, and cyclical patterns such as the ovulatory cycle. Here, we review the endocrinology underlying women's reproductive phenotypes, including sexual orientation and gender identity, mate preferences, competition for mates, sex drive, and maternal behavior. We highlight distinctive aspects of women's sexuality such as the possession of sexual ornaments, relatively cryptic fertile windows, extended sexual behavior across the ovulatory cycle, and a period of midlife reproductive senescence-and we focus on how hormonal mechanisms were shaped by selection to produce adaptive outcomes. We conclude with suggestions for future research to elucidate how hormonal mechanisms subserve women's reproductive phenotypes.

  20. Human behavior research and the design of sustainable transport systems

    Science.gov (United States)

    Schauer, James J.

    2011-09-01

    Transport currently represents approximately 19% of the global energy demand and accounts for about 23% of the global carbon dioxide emissions (IEA 2009). As the demand for mobility is expected to continue to increase in the coming decades, the stabilization of atmospheric carbon dioxide levels will require the evolution of transport, along with power generation, building design and manufacturing. The continued development of these sectors will need to include changes in energy sources, energy delivery, materials, infrastructure and human behavior. Pathways to reducing carbon from the transport sector have unique challenges and opportunities that are inherent to the human choices and behavioral patterns that mold the transportation systems and the associated energy needs. Technology, government investment, and regulatory policies have a significant impact on the formulation of transportation infrastructure; however, the role of human behavior and public acceptance on the efficiency and effectiveness of transport systems should not be underestimated. Although developed, rapidly developing, and underdeveloped nations face different challenges in the establishment of transport infrastructure that can meet transport needs while achieving sustainable carbon dioxide emissions, the constraints that establish the domain of possibilities are closely related for all nations. These constraints include capital investment, fuel supplies, power systems, and human behavior. Throughout the world, there are considerable efforts directed at advancing and optimizing the financing of sustainable infrastructures, the production of low carbon fuels, and the production of advanced power systems, but the foundational work on methods to understand human preferences and behavior within the context of transport and the valuation of reductions in carbon dioxide emissions is greatly lagging behind. These methods and the associated understanding of human behavior and the willingness to pay for

  1. Assessment of Human Bio-Behavior During Gait Process Using LifeMOD Software

    Directory of Open Access Journals (Sweden)

    Liliana Rogozea

    2011-01-01

    Full Text Available In this paper we present a set of observations concerning the
    analysis and assessment of human bio-behavior during gait process. In the first part of the paper the fundamental and theoretical considerations of the gait process are approached and aspects connected to malfunctions are expressed. In the second part of the paper we present the modeling methodology using
    the LifeMOD software, while in the third part the results and conclusions are presented.

  2. Understanding the behavior of floodplains as human-water systems

    Science.gov (United States)

    Di Baldassarre, G.; Brandimarte, L.

    2012-12-01

    Floodplains are among the most valuable ecosystems for supporting biodiversity and providing services to the environment. Moreover, they are home of approximately one-sixth of the world population as they offer favorable conditions for economic development. As a result, flood disasters currently affect more than 100 million people a year. Sadly, flood losses and fatalities are expected to increase further in many countries because of population growth as well as changes in land use and climate. Given the relevance of floodplain systems, a number of social scientists have examined how the frequency and severity of flooding often determine whether human development in floodplains is desirable or not. Meanwhile, many earth scientists have investigated the impact of human activities (e.g. land-use changes, urbanization, river training) on the frequency and magnitude of floods. In fact, as human activities change the frequency of flooding, the frequency of flooding affects human developments in floodplain areas. Yet, these dynamic interactions between floods and societies and the associated feedback mechanisms remain largely unexplored and poorly understood. As a result, we typically consider humans as external forcing (or boundary condition) without representing the feedback loops and our prediction of future trajectories are therefore extremely limited. This presentation shows a first attempt to understand the behavior of floodplains as coupled human-water systems. In particular, we analyzed a number of long time series of hydrological and population data in the Po River Basin (Italy) to explore the feedback mechanisms, reciprocal effects, surprises, and threshold mechanisms, taking place in floodplain systems. The outcomes of the study enable a better understanding of how the occurrences of floods shape human developments while, at the same time, human activities shape the magnitude and frequency of floods. The presentation also discusses the opportunities offered by

  3. Behavior analysis and the growth of behavioral pharmacology

    OpenAIRE

    Laties, Victor G.

    2003-01-01

    Psychologists, particularly those influenced by the work of B. F. Skinner, played a major part in the development of behavioral pharmacology in the 1950s and 1960s. Revolutionary changes in pharmacology and psychiatry, including the discovery of powerful therapeutic agents such as chlorpromazine and reserpine, had produced a surge of interest in drug research. Pharmaceutical companies began hiring psychologists with operant conditioning backgrounds so as to compete successfully in the search ...

  4. 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.

  5. A Human Body Analysis System

    Directory of Open Access Journals (Sweden)

    Girondel Vincent

    2006-01-01

    Full Text Available This paper describes a system for human body analysis (segmentation, tracking, face/hands localisation, posture recognition from a single view that is fast and completely automatic. The system first extracts low-level data and uses part of the data for high-level interpretation. It can detect and track several persons even if they merge or are completely occluded by another person from the camera's point of view. For the high-level interpretation step, static posture recognition is performed using a belief theory-based classifier. The belief theory is considered here as a new approach for performing posture recognition and classification using imprecise and/or conflicting data. Four different static postures are considered: standing, sitting, squatting, and lying. The aim of this paper is to give a global view and an evaluation of the performances of the entire system and to describe in detail each of its processing steps, whereas our previous publications focused on a single part of the system. The efficiency and the limits of the system have been highlighted on a database of more than fifty video sequences where a dozen different individuals appear. This system allows real-time processing and aims at monitoring elderly people in video surveillance applications or at the mixing of real and virtual worlds in ambient intelligence systems.

  6. Motion Picture and Videotape Analysis of Behavior.

    Science.gov (United States)

    Carpenter, Geoffrey C.; Duvall, David

    1983-01-01

    Use of motion pictures and videotape recordings to analyze animal behavior is described. Indicates that accuracy/amount of data available is greatly increased and that simultaneous behaviors of different animals can be studied or individual behavior patterns increased/decreased, providing observers with temporal perceptions similar to the animals…

  7. Behavior Basics: Quick Behavior Analysis and Implementation of Interventions for Classroom Teachers

    Science.gov (United States)

    Taylor, Shanon S.

    2011-01-01

    Dealing with student behavior is often cited as one of the most frustrating aspects of teaching, yet many classroom teachers receive no pre-service training in the basics of behavior management. This article describes the process of implementing a quick behavioral analysis for the purpose of designing a basic intervention. It will provide general…

  8. Functions of Research in Radical Behaviorism for the Further Development of Behavior Analysis

    Science.gov (United States)

    Leigland, Sam

    2010-01-01

    The experimental analysis of behavior began as an inductively oriented, empirically based scientific field. As the field grew, its distinctive system of science--radical behaviorism--grew with it. The continuing growth of the empirical base of the field has been accompanied by the growth of the literature on radical behaviorism and its…

  9. Functions of Research in Radical Behaviorism for the Further Development of Behavior Analysis

    Science.gov (United States)

    Leigland, Sam

    2010-01-01

    The experimental analysis of behavior began as an inductively oriented, empirically based scientific field. As the field grew, its distinctive system of science--radical behaviorism--grew with it. The continuing growth of the empirical base of the field has been accompanied by the growth of the literature on radical behaviorism and its…

  10. Behavioral Analysis of Physical Security Job Analyses. Volume 1.

    Science.gov (United States)

    1980-10-01

    AD-A137 268 BEHAVIORAL ANALYSIS OF PHYSICAL SECURIT JOB ANALYSES / V0LUME (U) ABBOT ASSOCIATES INC ALEXANDRIA VA WOFER ET AL 01 OCT 80 DNA-5491...ACCESSION NO. 3. RECIPIENT’S CATALOG NUMBER DNA 5491F-l 13 /7 4. TITLE (ad Subtitle) S. TYPE OF REPORT & PERIOD COVERED BEHAVIORAL ANALYSIS OF PHYSICAL...in a companion report entitled " Behavioral Analysis of Physical Security Job Personnel and Environment" (in preparation). The utility of this

  11. The Eigenmode Analysis of Human Motion

    CERN Document Server

    Park, Juyong; Gonzalez, Marta C

    2016-01-01

    Rapid advances in modern communication technology are enabling the accumulation of large-scale, high-resolution observational data of spatiotemporal movements of humans. Classification and prediction of human mobility based on the analysis of such data carry great potential in applications such as urban planning as well as being of theoretical interest. A robust theoretical framework is therefore required to study and properly understand human motion. Here we perform the eigenmode analysis of human motion data gathered from mobile communication records, which allows us to explore the scaling properties and characteristics of human motion.

  12. The eigenmode analysis of human motion

    Science.gov (United States)

    Park, Juyong; Lee, Deok-Sun; González, Marta C.

    2010-11-01

    Rapid advances in modern communication technology are enabling the accumulation of large-scale, high-resolution observational data of the spatiotemporal movements of humans. Classification and prediction of human mobility based on the analysis of such data has great potential in applications such as urban planning in addition to being a subject of theoretical interest. A robust theoretical framework is therefore required to study and properly understand human motion. Here we perform the eigenmode analysis of human motion data gathered from mobile communication records, which allows us to explore the scaling properties and characteristics of human motion.

  13. ANALYSIS OF HUMAN RESOURCES MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Anis Cecilia - Nicoleta

    2010-07-01

    Full Text Available Along with other material, financial resources, human resource is an indispensable element of each work process. The concept of human resource derives exactly from the fact that it has a limited nature and it is consumed by usage in the workplace. Any work process cannot be developed without the labour factor. Work is essentially a conscious activity specific to humans through which they release certain labour objects and transforms them according to his needs.

  14. The Scent of Blood: A Driver of Human Behavior?

    Science.gov (United States)

    Moran, James K; Dietrich, Daniel R; Elbert, Thomas; Pause, Bettina M; Kübler, Lisa; Weierstall, Roland

    2015-01-01

    The scent of blood is potentially one of the most fundamental and survival-relevant olfactory cues in humans. This experiment tests the first human parameters of perceptual threshold and emotional ratings in men and women of an artificially simulated smell of fresh blood in contact with the skin. We hypothesize that this scent of blood, with its association with injury, danger, death, and nutrition will be a critical cue activating fundamental motivational systems relating to either predatory approach behavior or prey-like withdrawal behavior, or both. The results show that perceptual thresholds are unimodally distributed for both sexes, with women being more sensitive. Furthermore, both women and men's emotional responses to simulated blood scent divide strongly into positive and negative valence ratings, with negative ratings in women having a strong arousal component. For women, this split is related to the phase of their menstrual cycle and oral contraception (OC). Future research will investigate whether this split in both genders is context-dependent or trait-like.

  15. Understanding and Predicting Human Behavior for Social Communities

    Science.gov (United States)

    Simoes, Jose; Magedanz, Thomas

    Over the last years, with the rapid advance in technology, it is becoming increasingly feasible for people to take advantage of the devices and services in the surrounding environment to remain "connected" and continuously enjoy the activity they are engaged in, be it sports, entertainment, or work. Such a ubiquitous computing environment will allow everyone permanent access to the Internet anytime, anywhere and anyhow [1]. Nevertheless, despite the evolution of services, social aspects remain in the roots of every human behavior and activities. Great examples of such phenomena are online social networks, which engage users in a way never seen before in the online world. At the same time, being aware and communicating context is a key part of human interaction and is a particularly powerful concept when applied to a community of users where services can be made more personalized and useful. Altogether, harvesting context to reason and learn about user behavior will further enhance the future multimedia vision where services can be composed and customized according to user context. Moreover, it will help us to understand users in a better way.

  16. Thermomechanical behavior of human carotid arteries in the passive state.

    Science.gov (United States)

    Guinea, G V; Atienza, J M; Elices, M; Aragoncillo, P; Hayashi, K

    2005-06-01

    Localized heating or cooling is expanding the clinical procedures used to treat cardiovascular diseases. Advantageous implementation and development of these methods are linked indissolubly to a deeper understanding of the arterial response to combined mechanical and thermal loads. Despite this, the basic thermomechanical behavior of human blood vessels still remains largely unknown, primarily due to the lack of appropriate experimental data. In this work, the influence of temperature on the passive behavior of human carotid arteries was studied in vitro by means of inflation tests. Eleven carotid segments were tested in the range 0-200 mmHg at four different temperatures of 17, 27, 37, and 42 degrees C. The results show that the combined change of temperature and stress has a dramatic effect on the dilatation coefficient of the arterial wall, which is shifted from negative to positive depending on the stress state, whereas the structural stiffness of the arterial wall does not change appreciably in the range of temperatures tested.

  17. A retrospective appreciation of Willard Day's contributions to radical behaviorism and the analysis of verbal behavior

    Science.gov (United States)

    Moore, Jay

    1991-01-01

    Willard Day's contributions to radical behaviorism are grouped under three headings: (a) an emphasis on the distinction between radical and methodological behaviorism; (b) an emphasis on the interpretation, rather than the prediction and control, of behavior; and (c) an emphasis on the analysis of verbal behavior as a natural, ongoing phenomenon. The paper suggests that the contributions above are listed in ascending order of significance. PMID:22477632

  18. Directed proteomic analysis of the human nucleolus

    DEFF Research Database (Denmark)

    Andersen, Jens S; Lyon, Carol E; Fox, Archa H

    2002-01-01

    of their structure and function remain uncharacterized. RESULTS: We report a proteomic analysis of human nucleoli. Using a combination of mass spectrometry (MS) and sequence database searches, including online analysis of the draft human genome sequence, 271 proteins were identified. Over 30% of the nucleolar...

  19. Human Capital Development: Comparative Analysis of BRICs

    Science.gov (United States)

    Ardichvili, Alexandre; Zavyalova, Elena; Minina, Vera

    2012-01-01

    Purpose: The goal of this article is to conduct macro-level analysis of human capital (HC) development strategies, pursued by four countries commonly referred to as BRICs (Brazil, Russia, India, and China). Design/methodology/approach: This analysis is based on comparisons of macro indices of human capital and innovativeness of the economy and a…

  20. Human Capital Development: Comparative Analysis of BRICs

    Science.gov (United States)

    Ardichvili, Alexandre; Zavyalova, Elena; Minina, Vera

    2012-01-01

    Purpose: The goal of this article is to conduct macro-level analysis of human capital (HC) development strategies, pursued by four countries commonly referred to as BRICs (Brazil, Russia, India, and China). Design/methodology/approach: This analysis is based on comparisons of macro indices of human capital and innovativeness of the economy and a…

  1. Metagenomic Analysis of the Human Gut Microbiome

    DEFF Research Database (Denmark)

    dos Santos, Marcelo Bertalan Quintanilha

    Understanding the link between the human gut microbiome and human health is one of the biggest scientific challenges in our decade. Because 90% of our cells are bacteria, and the microbial genome contains 200 times more genes than the human genome, the study of the human microbiome has...... the potential to impact many areas of our health. This PhD thesis is the first study to generate a large amount of experimental data on the DNA and RNA of the human gut microbiome. This was made possible by our development of a human gut microbiome array capable of profiling any human gut microbiome. Analysis...... of our results changes the way we link the gut microbiome with diseases. Our results indicate that inflammatory diseases will affect the ecological system of the human gut microbiome, reducing its diversity. Classification analysis of healthy and unhealthy individuals demonstrates that unhealthy...

  2. Negative Reinforcement in Applied Behavior Analysis: An Emerging Technology.

    Science.gov (United States)

    Iwata, Brian A.

    1987-01-01

    The article describes three aspects of negative reinforcement as it relates to applied behavior analysis: behavior acquired or maintained through negative reinforcement, the treatment of negatively reinforced behavior, and negative reinforcement as therapy. Current research suggests the emergence of an applied technology on negative reinforcement.…

  3. Behavioral responses to epidemics in an online experiment: using virtual diseases to study human behavior.

    Science.gov (United States)

    Chen, Frederick; Griffith, Amanda; Cottrell, Allin; Wong, Yue-Ling

    2013-01-01

    We report the results of a study we conducted using a simple multiplayer online game that simulates the spread of an infectious disease through a population composed of the players. We use our virtual epidemics game to examine how people respond to epidemics. The analysis shows that people's behavior is responsive to the cost of self-protection, the reported prevalence of disease, and their experiences earlier in the epidemic. Specifically, decreasing the cost of self-protection increases the rate of safe behavior. Higher reported prevalence also raises the likelihood that individuals would engage in self-protection, where the magnitude of this effect depends on how much time has elapsed in the epidemic. Individuals' experiences in terms of how often an infection was acquired when they did not engage in self-protection are another factor that determines whether they will invest in preventive measures later on. All else being equal, individuals who were infected at a higher rate are more likely to engage in self-protective behavior compared to those with a lower rate of infection. Lastly, fixing everything else, people's willingness to engage in safe behavior waxes or wanes over time, depending on the severity of an epidemic: when prevalence is high, people are more likely to adopt self-protective measures as time goes by; when prevalence is low, a 'self-protection fatigue' effect sets in whereby individuals are less willing to engage in safe behavior over time.

  4. Analysis of consumer behavior at chocolate purchase

    Directory of Open Access Journals (Sweden)

    Dagmar Kozelová

    2014-02-01

    Full Text Available At food purchase consumer is affected by several factors. In this work analysis of consumer behavior at chocolate purchase was performed involving 277 respondents. Statistical testing of results was performed by Chi - Square statistic, correlations have been tested with use of the Cramer's coefficient. It was found, that 86% of respondents consume chocolate. Factors affecting respondents at purchase were recommendations of friends, acquaintances (32%, brand of chocolate (24%, price (16%, personal experience (12%, health restrictions and allergies (11%. Less important factors when choosing chocolates are flavor (4%, nutritional quality (3%, country of origin (2% and chocolate packaging (1%. In the consumption of chocolate moderate correlation among various categories of economic activity of respondents was confirmed. Chocolate was consumed mainly by respondents whose monthly income ranges from 801 to 1001 €. We found that consumers prefer milk chocolate followed by dark and white at the end. In terms of gender the most commonly was chocolate consumed by women, once to three times a week. The same frequency of chocolate consumption dominates at the categories of students and employee. Expenses frequently spent to buy chocolates were from 1-3 € per week by young people (18-23 years and middle age generation of people (46-55 years. Normal 0 21 false false false CS JA X-NONE

  5. Recognition and Analysis on Overtaking Behavior

    Directory of Open Access Journals (Sweden)

    Dan Yu

    2012-09-01

    Full Text Available This study has a research of HMM and recognizes current driving intention, Moreover, using time to judge whether the behavior is overtaking behavior or not. Next, MSS was used to judge whether the overtaking conditions met or not. In addition, if they do not meet there will be a warning for driver. Use Gauss density functions to improve P-2D-HMM and discriminate driving intention, then identify the overtaking behavior. Based on vehicle kinematics theory, judge whether the overtaking behavior is normal by SMM. Warn the drivers whose overtaking behavior is abnormal to expect to reduce the traffic accident caused by overtaking. The result of experiment confirms that the model can accurately recognize overtaking behavior and the abnormal overtaking can be effective identified.

  6. Human Performance Modeling for Dynamic Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Boring, Ronald Laurids [Idaho National Laboratory; Joe, Jeffrey Clark [Idaho National Laboratory; Mandelli, Diego [Idaho National Laboratory

    2015-08-01

    Part of the U.S. Department of Energy’s (DOE’s) Light Water Reac- tor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Charac- terization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk framework. In this paper, we review simulation based and non simulation based human reliability analysis (HRA) methods. This paper summarizes the founda- tional information needed to develop a feasible approach to modeling human in- teractions in RISMC simulations.

  7. Labor Market Analysis and Concerted Behavior

    OpenAIRE

    Ulman, Lloyd

    1989-01-01

    In the first part of this paper, the importance of concerted behavior by workers emerges from examination of some prominent theories which set out to explain wage rigidity in the face of declining demand or excess supply without abandoning key elements of competitive theory. In the second part, the importance of certain Keyenesian and satisficing behavioral postulates in motivating concerted worker behavior is. suggested by the shortcomings of some contemporary economic models of the trade un...

  8. Astronaut Biography Project for Countermeasures of Human Behavior and Performance Risks in Long Duration Space Flights

    Science.gov (United States)

    Banks, Akeem

    2012-01-01

    This final report will summarize research that relates to human behavioral health and performance of astronauts and flight controllers. Literature reviews, data archival analyses, and ground-based analog studies that center around the risk of human space flight are being used to help mitigate human behavior and performance risks from long duration space flights. A qualitative analysis of an astronaut autobiography was completed. An analysis was also conducted on exercise countermeasure publications to show the positive affects of exercise on the risks targeted in this study. The three main risks targeted in this study are risks of behavioral and psychiatric disorders, risks of performance errors due to poor team performance, cohesion, and composition, and risks of performance errors due to sleep deprivation, circadian rhythm. These three risks focus on psychological and physiological aspects of astronauts who venture out into space on long duration space missions. The purpose of this research is to target these risks in order to help quantify, identify, and mature countermeasures and technologies required in preventing or mitigating adverse outcomes from exposure to the spaceflight environment

  9. A Spatial Analysis of Driving Behavior in Isfahan City

    Directory of Open Access Journals (Sweden)

    Leila Soltani

    2013-01-01

    Full Text Available IntroductionAfter industrial revolution, driving vehicles became a necessity in fulfilling human needs in different aspects of life. This is a positive phenomenon but is not without negative side effects, such as, for example, accidents, air pollution, traffic jam etc. In many countries, road construction and maintenance is far behind innovations of new vehicles. In many places the road quality or size is not able to bare the traffic load, hence the reason for significant rise in accidents and human life loss in the second half of the twentieth century in developed and developing countries. That is, 1.2 million deaths worldwide are caused by vehicle accidents. Accidents are the first cause of injuries and second cause of death in the population of Iran at ages bellow 40. In vehicle accidents, three factors are involved: human, vehicle and road quality. The human factor is more apparent since it governs the other two. Since the human factor is influenced by social, economic, cultural, political and other environmental aspects, its behavior in driving varies with respect to space and time. Consequently the question addressed in this paper is as follow: is there a correlation between where does the driver live and how his driving behavior is? And how is the driver’s spatial distribution manner when it comes to improper driving behavior on the intra-city routs? The megacity of Isfahan as a touristic city is of concern in this respect. Thus the broader questions are: which are the factors involved in affecting the driving behavior of drivers in Isfahan? What are the patterns which influence driving behaviors and what are the effective factors involved in developing these behaviors? For this purpose, the drivers’ behavior of different sections of the city are evaluated based on different variables and the local roads. Finally, the worst exposed driving behaviors of domestic drivers on domestic roads are identified. Material and Methods This is a

  10. Analysis of human emotion in human-robot interaction

    Science.gov (United States)

    Blar, Noraidah; Jafar, Fairul Azni; Abdullah, Nurhidayu; Muhammad, Mohd Nazrin; Kassim, Anuar Muhamed

    2015-05-01

    There is vast application of robots in human's works such as in industry, hospital, etc. Therefore, it is believed that human and robot can have a good collaboration to achieve an optimum result of work. The objectives of this project is to analyze human-robot collaboration and to understand humans feeling (kansei factors) when dealing with robot that robot should adapt to understand the humans' feeling. Researches currently are exploring in the area of human-robot interaction with the intention to reduce problems that subsist in today's civilization. Study had found that to make a good interaction between human and robot, first it is need to understand the abilities of each. Kansei Engineering in robotic was used to undergo the project. The project experiments were held by distributing questionnaire to students and technician. After that, the questionnaire results were analyzed by using SPSS analysis. Results from the analysis shown that there are five feelings which significant to the human in the human-robot interaction; anxious, fatigue, relaxed, peaceful, and impressed.

  11. 基于随机矩阵理论的城市人群移动行为分析%Analysis of urban human mobility behavior based on random matrix theory

    Institute of Scientific and Technical Information of China (English)

    徐赞新; 王钺; 司洪波; 冯振明

    2011-01-01

    移动通信应用为人类移动规律的研究提供了独特的数据来源.本文通过城市手机用户的分布数据,研究城市移动人群的整体动力学行为.借助随机矩阵理论的方法,通过比较移动人群数据与随机数据在互相关矩阵谱分布上的差异,发现移动人群数据互相关矩阵的相关系数均值、最大本征值及其对应的本征向量明显偏离于随机互相关矩阵的分布,指出这种差异体现了城市移动人群的整体行为特性,且这种差异在不同时间段也会有所不同.研究结果体现出相关系数的均值和最大本征值的波动趋势,并指出本征向量成员权重的时空模式与城市移动人群整体行为特征的波动过程非常符合.%Mobile communication applications provide a unique data source for the research of human mobility pattern. Based on the distribution data of urban mobile phone users, in this paper is explored the macroscopic dynamical behavior of urban mobility human by using the method of random matrix theory. The largest eigenvalue and the corresponding eigenvector of mobile phone user data deviate far from the distribution of random matrix. The deviations from random matrix vary with time. We find that the largest eigenvalue corresponds to a whole behavior common to all urban human mobility. The results indicate the temporal trends of the mean of correlation coefficient and the largest eigenvalue. We also find that the spatio temporal evolution of the weight of eigenvector components for the eigenvector corresponding to the largest eigenvalue is very consistent with the fluctuation pattern of the macroscopic behavior of urban human mobility.

  12. Human Behavioral Pharmacology, Past, Present, and Future: Symposium Presented at the 50th Annual Meeting of the Behavioral Pharmacology Society

    Science.gov (United States)

    Comer, Sandra D.; Bickel, Warren K.; Yi, Richard; de Wit, Harriet; Higgins, Stephen T.; Wenger, Galen R.; Johanson, Chris-Ellyn; Kreek, Mary Jeanne

    2010-01-01

    A symposium held at the 50th annual meeting of the Behavioral Pharmacology Society in May 2007 reviewed progress in the human behavioral pharmacology of drug abuse. Studies on drug self-administration in humans are reviewed that assessed reinforcing and subjective effects of drugs of abuse. The close parallels observed between studies in humans and laboratory animals using similar behavioral techniques have broadened our understanding of the complex nature of the pharmacological and behavioral factors controlling drug self-administration. The symposium also addressed the role that individual differences, such as gender, personality, and genotype play in determining the extent of self-administration of illicit drugs in human populations. Knowledge of how these factors influence human drug self-administration has helped validate similar differences observed in laboratory animals. In recognition that drug self-administration is but one of many choices available in the lives of humans, the symposium addressed the ways in which choice behavior can be studied in humans. These choice studies in human drug abusers have opened up new and exciting avenues of research in laboratory animals. Finally, the symposium reviewed behavioral pharmacology studies conducted in drug abuse treatment settings and the therapeutic benefits that have emerged from these studies. PMID:20664330

  13. Behavior Analysis of Forgiveness in Couples Therapy

    Science.gov (United States)

    Cordova, James; Cautilli, Joseph; Simon, Corrina; Sabag, Robin Axelrod

    2006-01-01

    Behavioral couples' therapy has a long history of success with couples and is an empirically validated treatment for marital discord (Task Force on Promotion and Dissemination of Psychological Procedures, 1995). However, only about 50% of all couples in treatment experience long-term change (2 years). One of the founders of behavioral couples'…

  14. Analysis of Human Errors in Industrial Incidents and Accidents for Improvement of Work Safety

    DEFF Research Database (Denmark)

    Leplat, J.; Rasmussen, Jens

    1984-01-01

    recommendations, the method proposed identifies very explicit countermeasures. Improvements require a change in human decisions during equipment design, work planning, or the execution itself. The use of a model of human behavior drawing a distinction between automated skill-based behavior, rule-based 'know......-how' and knowledge-based analysis is proposed for identification of the human decisions which are most sensitive to improvements...

  15. Behavior Analysis: Thriving, but How about Its Future?

    Science.gov (United States)

    Fantino, Edmund

    2008-01-01

    Behavior analysis has been thriving by continuing to make important theoretical and empirical contributions to a wide array of problems, as well as by contributing to interdisciplinary research. Applied research in behavior analysis is flourishing. Despite these positive signs there may be an erosion of support for basic research in animal…

  16. Vocational behavior analysis in psychology students

    Directory of Open Access Journals (Sweden)

    María Estrella LÓPEZ PÉREZ

    2014-06-01

    Full Text Available Introduction. The European Higher Education Area (EHEA is supporting gain relevance of vocational guidance into the frame of University Education. In order to a better planning of this guidance we need to know his contents evaluating student vocational interests of each center. The aim of the study is to analyze the indicators of Psychology students vocational behavior and his evolution and comparing those results with data of another students population. Methodology. The 329 psychology students participants from the University of Salamanca (248 in the second year and 81 in the fifth answered the questionnaire of university biodata (Rocabert, 2005. In all cases we took a significance level of ? = 0.05 carrying out samples comparison tests using U de Mann-Whitney techniques and contingency analysis. Results: The present study found significant differences between second and fifth psychology grade students and with general university population data collected by Rocabert, Descals and Gomez (2007. In general, psychology students begin their degrees with a high level interest and motivated; they are making decisions based on the academic specialty they want to work in. However, for last year students group (fith year students we detected a lower satisfaction in their studies, more difficulties in deciding what they want to do and a greater demand of information in order to choose the advisablest option for them. Conclusions. Despite the high motivation of psychology students, the nearer is his integration into the job market the higher is the need of guidance to help them to take decisions concerning specialization or the professional world.

  17. Human behavior in Prisoner's Dilemma experiments suppresses network reciprocity

    CERN Document Server

    Gracia-Lazaro, Carlos; Sanchez, Angel; Moreno, Yamir

    2012-01-01

    During the last few years, much research has been devoted to strategic interactions on complex networks. In this context, the Prisoner's Dilemma has become a paradigmatic model, and it has been established that imitative evolutionary dynamics lead to very different outcomes depending on the details of the network. We here report that when one takes into account the real behavior of people observed in the experiments, both at the mean-field level and on utterly different networks the observed level of cooperation is the same. We thus show that when human subjects interact in an heterogeneous mix including cooperators, defectors and moody conditional cooperators, the structure of the population does not promote or inhibit cooperation with respect to a well mixed population.

  18. Human behavior in Prisoner's Dilemma experiments suppresses network reciprocity.

    Science.gov (United States)

    Gracia-Lázaro, Carlos; Cuesta, José A; Sánchez, Angel; Moreno, Yamir

    2012-01-01

    During the last few years, much research has been devoted to strategic interactions on complex networks. In this context, the Prisoner's Dilemma has become a paradigmatic model, and it has been established that imitative evolutionary dynamics lead to very different outcomes depending on the details of the network. We here report that when one takes into account the real behavior of people observed in the experiments, both at the mean-field level and on utterly different networks, the observed level of cooperation is the same. We thus show that when human subjects interact in a heterogeneous mix including cooperators, defectors and moody conditional cooperators, the structure of the population does not promote or inhibit cooperation with respect to a well mixed population.

  19. Human Behavior Classification Using Multi-Class Relevance Vector Machine

    Directory of Open Access Journals (Sweden)

    Yogameena, B.

    2010-01-01

    Full Text Available Problem statement: In computer vision and robotics, one of the typical tasks is to identify specific objects in an image and to determine each object’s position and orientation relative to coordinate system. This study presented a Multi-class Relevance Vector machine (RVM classification algorithm which classifies different human poses from a single stationary camera for video surveillance applications. Approach: First the foreground blobs and their edges are obtained. Then the relevance vector machine classification scheme classified the normal and abnormal behavior. Results: The performance proposed by our method was compared with Support Vector Machine (SVM and multi-class support vector machine. Experimental results showed the effectiveness of the method. Conclusion: It is evident that RVM has good accuracy and lesser computational than SVM.

  20. Which activation function of cooperation describes human behavior?

    CERN Document Server

    Jarynowski, Andrzej

    2016-01-01

    Properties of cooperation's probability function in Prisoner`s Dilemma have impact on evolution of game. Basic model defines that probability of cooperation depends linearly, both on the player's altruism and the co-player's reputation. I propose modification of activation function to smooth one (hyperbolic tangent with scaling parameter a, which corresponds to its shape) and observe three phases for different range of a. (1) For small a, strategies seem to randomly change in time and situation of mixed choices (one cooperates and second defects) dominate. (2) For medium a, players choose only one strategy for given period of time (the common state can switch to opposite one with some probability). (3) For large a, mixed strategy (once defect, once cooperate) is coexisting with common strategies and no change is allowed. I believe that proposed function characterizes better socio-economical phenomena and especially phase 1 and 2 contain most of human behavior.

  1. Dual Extended Kalman Filter for the Identification of Time-Varying Human Manual Control Behavior

    Science.gov (United States)

    Popovici, Alexandru; Zaal, Peter M. T.; Pool, Daan M.

    2017-01-01

    A Dual Extended Kalman Filter was implemented for the identification of time-varying human manual control behavior. Two filters that run concurrently were used, a state filter that estimates the equalization dynamics, and a parameter filter that estimates the neuromuscular parameters and time delay. Time-varying parameters were modeled as a random walk. The filter successfully estimated time-varying human control behavior in both simulated and experimental data. Simple guidelines are proposed for the tuning of the process and measurement covariance matrices and the initial parameter estimates. The tuning was performed on simulation data, and when applied on experimental data, only an increase in measurement process noise power was required in order for the filter to converge and estimate all parameters. A sensitivity analysis to initial parameter estimates showed that the filter is more sensitive to poor initial choices of neuromuscular parameters than equalization parameters, and bad choices for initial parameters can result in divergence, slow convergence, or parameter estimates that do not have a real physical interpretation. The promising results when applied to experimental data, together with its simple tuning and low dimension of the state-space, make the use of the Dual Extended Kalman Filter a viable option for identifying time-varying human control parameters in manual tracking tasks, which could be used in real-time human state monitoring and adaptive human-vehicle haptic interfaces.

  2. Intelligent systems approach for automated identification of individual control behavior of a human operator

    Science.gov (United States)

    Zaychik, Kirill B.

    Acceptable results have been obtained using conventional techniques to model the generic human operator's control behavior. However, little research has been done in an attempt to identify an individual based on his/her control behavior. The main hypothesis investigated in this dissertation is that different operators exhibit different control behavior when performing a given control task. Furthermore, inter-person differences are manifested in the amplitude and frequency content of the non-linear component of the control behavior. Two enhancements to the existing models of the human operator, which allow personalization of the modeled control behavior, are presented in this dissertation. One of the proposed enhancements accounts for the "testing" control signals, which are introduced by an operator for more accurate control of the system and/or to adjust his/her control strategy. Such enhancement uses the Artificial Neural Network (ANN), which can be fine-tuned to model the "testing" control behavior of a given individual. The other model enhancement took the form of an equiripple filter (EF), which conditions the power spectrum of the control signal before it is passed through the plant dynamics block. The filter design technique uses Parks-McClellan algorithm, which allows parameterization of the desired levels of power at certain frequencies. A novel automated parameter identification technique (APID) was developed to facilitate the identification process of the parameters of the selected models of the human operator. APID utilizes a Genetic Algorithm (GA) based optimization engine called the Bit-climbing Algorithm (BCA). Proposed model enhancements were validated using the experimental data obtained at three different sources: the Manual Control Laboratory software experiments, Unmanned Aerial Vehicle simulation, and NASA Langley Research Center Visual Motion Simulator studies. Validation analysis involves comparison of the actual and simulated control

  3. An experimental analysis of ongoing verbal behavior: reinforcement, verbal operants, and superstitious behavior.

    Science.gov (United States)

    Leigland, S

    1996-01-01

    Four adult humans were asked to asked to "find" and talk about a particular topic to a person in an adjoining room, and were instructed that they would hear a short beep (the only form of reply from the other person) when they were talking about the topic, or were "close" to the topic. In Session 1, the experimenter in the adjoining room presented the beeps in the manner of shaping, or the differential reinforcement of successive approximations, "toward" the designated topic. In Session 2, the same conditions were in effect but the experimenter was unable to hear the subject and the beeps were presented noncontingently in a way that roughly matched the frequency and distribution of presentations in Session 1. In Session 3, shaping conditions were again in effect but with a different topic than that designated for Session 1. Audio recordings were transcribed in a way that was designed to show the progress of shaping over time. These and additional forms of supporting data and accompanying rationale are presented and discussed in detail. Issues raised by the methodology and results of the experiment include the nature of the verbal operant, superstitious verbal behavior, and a variety of methodological issues relevant to the experimental analysis of ongoing or continuous verbal behavior.

  4. Analysis of Human Communication during Assembly Tasks.

    Science.gov (United States)

    1986-06-01

    AD-A7l 43 ANALYSIS OF HUMAN COMMUNICATION DURING ASSEMBLY TASKS in1(U) CRNEGIE-MELLO UNIY PITTSBURGH PA ROBOTICS INST UNCLSSIIEDK S BARBER ET AL...ao I Dur~~~~IngAbcbyTs; 7c .S:in i lSAo .0. Analysis of Human Communication During Assembly Tasks K. Suzanne Barber and Gerald J. Agin CMU-RI-TR-86-1...TYPE or REPORT & PE-Rioo CevCZaz Analysis of Human Communication During Assembly Inlterim Tasks I . PERFORMING 00RG. REPORT NUMBER 1. £UT~oOR~e) IL

  5. Genomic imprinting and human psychology: cognition, behavior and pathology.

    Science.gov (United States)

    Goos, Lisa M; Ragsdale, Gillian

    2008-01-01

    Imprinted genes expressed in the brain are numerous and it has become clear that they play an important role in nervous system development and function. The significant influence of genomic imprinting during development sets the stage for structural and physiological variations affecting psychological function and behaviour, as well as other physiological systems mediating health and well-being. However, our understanding of the role of imprinted genes in behaviour lags far behind our understanding of their roles in perinatal growth and development. Knowledge of genomic imprinting remains limited among behavioral scientists and clinicians and research regarding the influence of imprinted genes on normal cognitive processes and the most common forms of neuropathology has been limited to date. In this chapter, we will explore how knowledge of genomic imprinting can be used to inform our study of normal human cognitive and behavioral processes as well as their disruption. Behavioural analyses of rare imprinted disorders, such as Prader-Willi and Angelman syndromes, provide insight regarding the phenotypic impact of imprinted genes in the brain, and can be used to guide the study of normal behaviour as well as more common but etiologically complex disorders such as ADHD and autism. Furthermore, hypotheses regarding the evolutionary development of imprinted genes can be used to derive predictions about their role in normal behavioural variation, such as that observed in food-related and social interactions.

  6. AUTHENTICITY OF HUMAN BEHAVIOR IN FREUD AND HEIDEGGER

    Directory of Open Access Journals (Sweden)

    IONUŢ ŞTEFAN

    2016-11-01

    Full Text Available The research theme is the question of the authenticity of human behavior examined from two perspectives: the psychoanalytical one, developed by Sigmund Freud, and the one of philosophy of being embodied by Martin Heidegger. As concerns the Freudian psychoanalysis, I am primarily interested in the conflict among: self, ego, and superego. Because of the requisitions of the supergo, the subject mostly behaves according to the censorships imposed by this psychic instance. The self, dominated by sexuality and aggressiveness, exhibits the pulsional tendency to manifest itself in the conscious behavior of the individual. As regards the Heideggerian endeavor, I am interested in distinguishing between the authentic and non-authentic existences. In Heidegger’s vision, the nonauthentic existence manifests when we are living together with the others in society. This is the horizon of the impersonal “as it is done”, the Heideggerian das Man, which may be understood by the three dimensions: curiosity, ambiguity, and chatter. The authentic existence manifests when the individuals live on their own, in privacy, and acknowledge the fact that their existence develops over a strictly determined time period, the imminent confrontation with their own death coming closer and closer.

  7. Consumer Behavior Analysis of Green Food

    National Research Council Canada - National Science Library

    Chao Luo; Guangrong Tong; Yang Pan; Sha Yang

    2015-01-01

    .... It use descriptive statistical method to analyze the current situation of cognitive and behavioral characteristics of the green food and it conducted data mining of factors affecting consumer buying green food...

  8. Social performance cues induce behavioral flexibility in humans

    NARCIS (Netherlands)

    Toelch, U.; Bruce, M.J.; Meeus, M.T.H.; Reader, S.M.

    2011-01-01

    Behavioral flexibility allows individuals to react to environmental changes, but changing established behavior carries costs, with unknown benefits. Individuals may thus modify their behavioral flexibility according to the prevailing circumstances. Social information provided by the performance leve

  9. Human Reliability Analysis for Digital Human-Machine Interfaces

    Energy Technology Data Exchange (ETDEWEB)

    Ronald L. Boring

    2014-06-01

    This paper addresses the fact that existing human reliability analysis (HRA) methods do not provide guidance on digital human-machine interfaces (HMIs). Digital HMIs are becoming ubiquitous in nuclear power operations, whether through control room modernization or new-build control rooms. Legacy analog technologies like instrumentation and control (I&C) systems are costly to support, and vendors no longer develop or support analog technology, which is considered technologically obsolete. Yet, despite the inevitability of digital HMI, no current HRA method provides guidance on how to treat human reliability considerations for digital technologies.

  10. The dynamics of human behavior in the public goods game with institutional incentives.

    Science.gov (United States)

    Dong, Yali; Zhang, Boyu; Tao, Yi

    2016-06-24

    The empirical research on the public goods game (PGG) indicates that both institutional rewards and institutional punishment can curb free-riding and that the punishment effect is stronger than the reward effect. Self-regarding models that are based on Nash equilibrium (NE) strategies or evolutionary game dynamics correctly predict which incentives are best at promoting cooperation, but individuals do not play these rational strategies overall. The goal of our study is to investigate the dynamics of human decision making in the repeated PGG with institutional incentives. We consider that an individual's contribution is affected by four factors, which are self-interest, the behavior of others, the reaction to rewards, and the reaction to punishment. We find that people on average do not react to rewards and punishment, and that self-interest and the behavior of others sufficiently explain the dynamics of human behavior. Further analysis suggests that institutional incentives promote cooperation by affecting the self-regarding preference and that the other-regarding preference seems to be independent of incentive schemes. Because individuals do not change their behavioral patterns even if they were not rewarded or punished, the mere potential to punish defectors and reward cooperators can lead to considerable increases in the level of cooperation.

  11. From human behavior to the spread of mobile phone viruses

    Science.gov (United States)

    Wang, Pu

    Percolation theory was initiated some 50 years ago as a mathematical framework for the study of random physical processes such as the flow of a fluid through a disordered porous medium. It has been proved to be a remarkably rich theory, with applications from thermodynamic phase transitions to complex networks. In this dissertation percolation theory is used to study the diffusion process of mobile phone viruses. Some methodologies widely used in statistical physics are also applied to uncover the underlying statistical laws of human behavior and simulate the spread of mobile phone viruses in a large population. I find that while Bluetooth viruses can reach all susceptible handsets with time, they spread slowly due to human mobility, offering ample opportunities to deploy antiviral software. In contrast, viruses utilizing multimedia messaging services (MMS) could infect all users in hours, but currently a phase transition on the underlying call graph limits them to only a small fraction of the susceptible users. These results explain the lack of a major mobile virus breakout so far and predict that once a mobile operating system's market share reaches the phase transition point, viruses will pose a serious threat to mobile communications. These studies show how the large datasets and tools of statistical physics can be used to study some specific and important problems, such as the spread of mobile phone viruses.

  12. Evolution of life history and behavior in Hominidae: towards phylogenetic reconstruction of the chimpanzee-human last common ancestor.

    Science.gov (United States)

    Duda, Pavel; Zrzavý, Jan

    2013-10-01

    The origin of the fundamental behavioral differences between humans and our closest living relatives is one of the central issues of evolutionary anthropology. The prominent, chimpanzee-based referential model of early hominin behavior has recently been challenged on the basis of broad multispecies comparisons and newly discovered fossil evidence. Here, we argue that while behavioral data on extant great apes are extremely relevant for reconstruction of ancestral behaviors, these behaviors should be reconstructed trait by trait using formal phylogenetic methods. Using the widely accepted hominoid phylogenetic tree, we perform a series of character optimization analyses using 65 selected life-history and behavioral characters for all extant hominid species. This analysis allows us to reconstruct the character states of the last common ancestors of Hominoidea, Hominidae, and the chimpanzee-human last common ancestor. Our analyses demonstrate that many fundamental behavioral and life-history attributes of hominids (including humans) are evidently ancient and likely inherited from the common ancestor of all hominids. However, numerous behaviors present in extant great apes represent their own terminal autapomorphies (both uniquely derived and homoplastic). Any evolutionary model that uses a single extant species to explain behavioral evolution of early hominins is therefore of limited use. In contrast, phylogenetic reconstruction of ancestral states is able to provide a detailed suite of behavioral, ecological and life-history characters for each hypothetical ancestor. The living great apes therefore play an important role for the confident identification of the traits found in the chimpanzee-human last common ancestor, some of which are likely to represent behaviors of the fossil hominins. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. 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

  14. Space Mission Human Reliability Analysis (HRA) Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The purpose of this project is to extend current ground-based Human Reliability Analysis (HRA) techniques to a long-duration, space-based tool to more effectively...

  15. ARSENIC SPECIATION ANALYSIS IN HUMAN SALIVA

    Science.gov (United States)

    Background: Determination of arsenic species in human saliva is potentially useful for biomonitoring of human exposure to arsenic and for studying arsenic metabolism. However, there is no report on the speciation analysis of arsenic in saliva. Methods: Arsenic species in saliva ...

  16. ARSENIC SPECIATION ANALYSIS IN HUMAN SALIVA

    Science.gov (United States)

    Background: Determination of arsenic species in human saliva is potentially useful for biomonitoring of human exposure to arsenic and for studying arsenic metabolism. However, there is no report on the speciation analysis of arsenic in saliva. Methods: Arsenic species in saliva ...

  17. [Diversity and development of positional behavior in non-human primates].

    Science.gov (United States)

    Zhang, Jing; Qi, Xiao-Guang; Zhang, Kan; Zhang, Pei; Guo, Song-Tao; Wei, Wei; Li, Bao-Guo

    2012-10-01

    In long-term evolution, wildlife in general and primates in particular have formed specific patterns of behavior to adapt to a diverse variety of habitat environments. Current research on positional behavior in non-human primates has been found to explain a great deal about primate adaptability diversification, ecology, anatomy and evolution. Here, we summarize the noted classifications and differences in seasonal, site-specific and sex-age positional behaviors while also reviewing the development and status of non-human primate positional behavior research. This review is intended to provide reference for the future research of non-human primates and aid in further research on behavioral ecology of primates.

  18. Team behaviors in emergency care: a qualitative study using behavior analysis of what makes team work

    OpenAIRE

    Mazzocato Pamela; Hvitfeldt Forsberg Helena; von Thiele Schwarz Ulrica

    2011-01-01

    Abstract Objective Teamwork has been suggested as a promising approach to improving care processes in emergency departments (ED). However, for teamwork to yield expected results, implementation must involve behavior changes. The aim of this study is to use behavior analysis to qualitatively examine how teamwork plays out in practice and to understand eventual discrepancies between planned and actual behaviors. Methods The study was set in a Swedish university hospital ED during the initial ph...

  19. Human reliability analysis of control room operators

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Isaac J.A.L.; Carvalho, Paulo Victor R.; Grecco, Claudio H.S. [Instituto de Engenharia Nuclear (IEN), Rio de Janeiro, RJ (Brazil)

    2005-07-01

    Human reliability is the probability that a person correctly performs some system required action in a required time period and performs no extraneous action that can degrade the system Human reliability analysis (HRA) is the analysis, prediction and evaluation of work-oriented human performance using some indices as human error likelihood and probability of task accomplishment. Significant progress has been made in the HRA field during the last years, mainly in nuclear area. Some first-generation HRA methods were developed, as THERP (Technique for human error rate prediction). Now, an array of called second-generation methods are emerging as alternatives, for instance ATHEANA (A Technique for human event analysis). The ergonomics approach has as tool the ergonomic work analysis. It focus on the study of operator's activities in physical and mental form, considering at the same time the observed characteristics of operator and the elements of the work environment as they are presented to and perceived by the operators. The aim of this paper is to propose a methodology to analyze the human reliability of the operators of industrial plant control room, using a framework that includes the approach used by ATHEANA, THERP and the work ergonomics analysis. (author)

  20. Testosterone and its effects on human male adolescent mood and behavior: a systematic review.

    Science.gov (United States)

    Duke, Sally Anne; Balzer, Ben W R; Steinbeck, Katharine S

    2014-09-01

    During human puberty, there is an approximate 30-fold increase in testosterone production in boys. This increase is often linked to changes in mood and behavior in adolescence such as aggression, an increase in risk taking, and depression. The aim of this systematic review was to determine what evidence exists on the effects of endogenous testosterone on behavior and mood in males during adolescence. The following databases were searched: MEDLINE, Pre-MEDLINE, Education Resources Information Centre, PsycINFO, EMBASE, Scopus, and Web of Science. Only human studies were included. The study is community based, and the participants were healthy male adolescents within the age range of 9-18 years. Studies were required to have a validated mood and/or behavior assessment contemporaneous with a timed testosterone measurement. A total of 27 studies met the inclusion criteria of which only one was a longitudinal study. The remaining 26 studies were cross sectional in their analysis. As a variety of measurement tools were used, no meta-analysis was possible. Most studies focused on aggression. The one longitudinal study looking at testosterone and aggression showed little relationship with concurrent changes in aggression. Most of the cross-sectional studies of adolescent males observed relationships between aggression and testosterone levels. With respect to other behaviors and moods and/or affect, no consistent relationships with testosterone were observed in cross-sectional studies. This systematic review concludes that there are insufficient longitudinal data of high methodological quality to currently confirm that changing testosterone levels during puberty are significantly associated with mood and behavior in adolescent males. To discount these findings is to risk apportioning blame inappropriately and missing other important diagnoses in adolescent males. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  1. FROM THE BEHAVIORAL ANALYSIS TO POST-BEHAVIORALISM: HISTORY OF PARADIGM

    Directory of Open Access Journals (Sweden)

    M. I. Bogachev

    2017-01-01

    Full Text Available Article is devoted to the review of formation and decline of behavioralism paradigm in political science. The author begins the analysis with critical consideration of the scientific concepts preceding emergence of modernist empiricism within which there is a behavioral analysis. Further the researcher traces formation behaviorism in the social disciplines: formation model in psychology, release of the theory out of limits of pure psychology and transferring ideas in sociology and political science. The author analyzes inquiries to the scientific theory by behavioralism. He opens the principles of behavioralism as paradigm in political science. The author presents the conceptual and contextual factors promoting recession of popularity behavioralism in political science and submits methodological restrictions approach. The author states the main claims of critics to this research approach and explains the reasons decline this paradigm. At the same time the methodological reflection of behavioralism which has followed recession of his popularity is reflected in work. The author opens the principles of the new methodological direction – post-behavioralism and the position of modern representatives of the behavioral analysis.

  2. An Annotated Bibliography of Verbal Behavior Articles Published Outside of The Analysis of Verbal Behavior: 2015.

    Science.gov (United States)

    Lechago, Sarah A; Phillips, Lauren A

    2016-06-01

    An annotated bibliography is provided that summarizes journal articles on verbal behavior published outside of The Analysis of Verbal Behavior in 2015, the primary journal for scholarship in this area. Thirty such articles were identified and annotated as a resource for practitioners, researchers, and educators.

  3. An Annotated Bibliography of Verbal Behavior Articles Published outside of "The Analysis of Verbal Behavior": 2015

    Science.gov (United States)

    Lechago, Sarah A.; Phillips, Lauren A.

    2016-01-01

    An annotated bibliography is provided that summarizes journal articles on verbal behavior published outside of "The Analysis of Verbal Behavior" in 2015, the primary journal for scholarship in this area. Thirty such articles were identified and annotated as a resource for practitioners, researchers, and educators.

  4. Behavior analysis and farm animal welfare.

    Science.gov (United States)

    Foster, T M; Temple, W; Poling, A

    1997-01-01

    This article demonstrates that there is a role for behavior-analytic techniques in the area of farm animal welfare and provides examples of the kinds of work that can be done. Behavior-analytic procedures, specifically those used in the study of psychophysics, preference, and demand, can provide answers to three questions people concerned with the welfare of farm animals are likely to ask: What can the animals detect? What do they like and dislike? What will they work to attain or preserve? Such information certainly is necessary for making reasonable decisions about animal welfare, although it is not sufficient in and of itself.

  5. An experimental analysis of human straight walking

    Science.gov (United States)

    Li, Tao; Ceccarelli, Marco

    2013-03-01

    In this paper, an experimental analysis of human straight walking has been presented. Experiments on human walking were carried out by using Cassino tracking system which is a passive cable-based measuring system. This system is adopted because it is capable of both pose and wrench measurements with fairly simple monitoring of operation. By using experimental results, trajectories of a human limb extremity and its posture have been analyzed; forces that are exerted against cables by the limb of a person under test have been measured by force sensors as well. Furthermore, by using experimental tests, modeling and characterization of the human straight walking gait have been proposed.

  6. Aspects of elephant behavior, ecology, and interactions with humans

    Science.gov (United States)

    O'Connell, Caitlin Elizabeth

    This dissertation is comprised of two chapters relating to the acoustic behavior of elephants, their surrounding ecology and interactions with humans. The first chapter investigates the seismic aspects of Asian elephant (Elephus maximus) acoustic communication. The second chapter is comprised of a synthesis of two separate studies conducted on the African elephant (Loxodonta africana) in Namibia, both in Etosha National Park and the Caprivi region. The two studies were combined and published in Biological Conservation as one large study on aspects of the economic and social impacts of elephant/human conflict and experiments conducted to reduce conflict. In chapter one, seismic and acoustic data were recorded simultaneously from Asian elephants during periods of vocalizations and locomotion. Acoustic and seismic signals from rumbles were highly correlated at near and far distances and were in phase near the elephant and were out of phase at an increased distance from the elephant. Data analyses indicated that elephant generated signals associated with rumbles and "foot stomps" propagated at different velocities in the two media, the acoustic signals traveling at 309 m/s and the seismic signals at 248--264 m/s. Both types of signals had predominant frequencies in the range of 20 Hz. Seismic signal amplitudes considerably above background noise were recorded at 40 m from the generating elephants for both the rumble and the stomp. Seismic propagation models suggest that seismic waveforms from vocalizations are potentially detectable by instruments at distances of up to 16 km, and up to 32 km for locomotion generated signals. Thus, if detectable by elephants, these seismic signals could be useful for long distance communication. In chapter two, the economic impact of elephants, Loxodonta africana , and predators, particularly lions, Panthera leo, on rural agriculturists in the Kwando region of the East Caprivi, Namibia was assessed from the years 1991 to 1995. Elephants

  7. The Chameleon framework : practical solutions for memory behavior analysis

    OpenAIRE

    Weinberg, Jonathan

    2008-01-01

    Though the performance of many applications is dominated by memory behavior, our ability to describe, capture, compare, and recreate that behavior is quite limited. This inability underlies much of the complexity in the field of performance analysis: it is fundamentally difficult to relate benchmarks and applications or use realistic workloads to guide system design and procurement. A concise, observable, and machine-independent characterization of memory behavior is needed. This dissertation...

  8. Culture Representation in Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    David Gertman; Julie Marble; Steven Novack

    2006-12-01

    Understanding human-system response is critical to being able to plan and predict mission success in the modern battlespace. Commonly, human reliability analysis has been used to predict failures of human performance in complex, critical systems. However, most human reliability methods fail to take culture into account. This paper takes an easily understood state of the art human reliability analysis method and extends that method to account for the influence of culture, including acceptance of new technology, upon performance. The cultural parameters used to modify the human reliability analysis were determined from two standard industry approaches to cultural assessment: Hofstede’s (1991) cultural factors and Davis’ (1989) technology acceptance model (TAM). The result is called the Culture Adjustment Method (CAM). An example is presented that (1) reviews human reliability assessment with and without cultural attributes for a Supervisory Control and Data Acquisition (SCADA) system attack, (2) demonstrates how country specific information can be used to increase the realism of HRA modeling, and (3) discusses the differences in human error probability estimates arising from cultural differences.

  9. Behavioral analysis of relaxin-3 deficient mice.

    Science.gov (United States)

    Tanaka, Masaki; Furube, Eriko; Aoki, Miku; Watanabe, Yoshihisa

    2013-01-01

    Relaxin-3 is a neuropeptide belonging to the relaxin/insulin superfamily. Studies using rodents have revealed that relaxin-3 is predominantly expressed in neurons in the nucleus incertus of the pons, projecting axons to forebrain regions including the hypothalamus. There is evidence that relaxin-3 is involved in several functions, including food intake and stress responses. We generated relaxin-3 gene knockout (KO) mice and examined them using a battery of behavioral tests of sensory/motor functions and emotion-related behaviors. Relaxin-3 KO mice exhibited normal growth and appearance. There was no difference in bodyweight among genotypes in both normal and high fat diet feeding. In addition, there were no significant differences between wild-type and KO mice in social interaction, depression-like behavior, and short memory test. However, in the elevated plus maze test, KO mice exhibited a robust increase in the tendency to enter open arms, although they exhibited normal performance in a light/dark transition test and showed no difference from wild-type mice in the open field test. Taken together, these results indicate that relaxin-3 KO mice exhibit mild anxiolytic characteristics relative to wild-type mice, suggesting that this peptide is involved in anxiety-related behavior.

  10. The analysis of Hengkelong Supermarket Management Behavior

    Institute of Scientific and Technical Information of China (English)

    林晓霜

    2010-01-01

    With the development of local retail industry,Hengkelong Supermarket win fat profit.Yet how can it maintain its business advantage in the fierce competition with foreign business giants? This paper analyzes the management behavior of Hengkelong Supermarket,intending to give relevant policy recommendations.

  11. Manometer Behavior Analysis using CATHENA, RELAP and GOTHIC Codes

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Yang Hoon; Han, Kee Soo; Moon, Bok Ja; Jang, Misuk [Nuclear Engineering Service and Solution Co. Ltd., Daejeon (Korea, Republic of)

    2014-05-15

    In this presentation, simple thermal hydraulic behavior is analyzed using three codes to show the possibility of using alternative codes. We established three models of simple u-tube manometer using three different codes. CATHENA (Canadian Algorithm for Thermal hydraulic Network Analysis), RELAP (Reactor Excursion and Leak Analysis Program), GOTHIC (Generation of Thermal Hydraulic Information for Containments) are used for this analysis. CATHENA and RELAP are widely used codes for the analysis of system behavior of CANDU and PWR. And GOTHIC code also has been widely used for the analysis of thermal hydraulic behavior in the containment system. In this paper, the internal behavior of u-tube manometer was analyzed using 3 codes, CATHENA, RELAP and GOTHIC. The general transient behavior is similar among 3 codes. However, the behavior simulated using GOTHIC shows some different trend compared with the results from the other 2 codes at the end of the transient. It would be resulted from the use of different physical model in GOTHIC, which is specialized for the multi-phase thermal hydraulic behavior analysis of containment system unlike the other two codes.

  12. Trauma and Psychotherapy: Implications from a Behavior Analysis Perspective

    Science.gov (United States)

    Prather, Walter

    2007-01-01

    Attachment theory provides a useful conceptual framework for understanding trauma and the treatment of abuse in children. This article examines attachment theory and traditional models of family therapy from the perspective of behavior analysis, and provides a rationale for a behavioral treatment approach for abused children and their foster or…

  13. Role of Communication Networks in Behavioral Systems Analysis

    Science.gov (United States)

    Houmanfar, Ramona; Rodrigues, Nischal Joseph; Smith, Gregory S.

    2009-01-01

    This article provides an overview of communication networks and the role of verbal behavior in behavioral systems analysis. Our discussion highlights styles of leadership in the design and implementation of effective organizational contingencies that affect ways by which coordinated work practices are managed. We draw upon literature pertaining to…

  14. A Preliminary Analysis of a Behavioral Classrooms Needs Assessment

    Science.gov (United States)

    Leaf, Justin B.; Leaf, Ronald; McCray, Cynthia; Lamkins, Carol; Taubman, Mitchell; McEachin, John; Cihon, Joseph H.

    2016-01-01

    Today many special education classrooms implement procedures based upon the principles of Applied Behavior Analysis (ABA) to establish educationally relevant skills and decrease aberrant behaviors. However, it is difficult for school staff and consultants to evaluate the implementation of various components of ABA and general classroom set up. In…

  15. Role of Cognition and Affect in a Functional Behavioral Analysis.

    Science.gov (United States)

    Nichols, Polly

    2000-01-01

    This article attempts to present a multidimensional perspective of functional behavioral analysis that will lead to psychoeducational interventions in which students with emotional/behavioral disorders are taught to think clearly, solve problems, and self-regulate the intensity of their emotions. (Contains references.) (Author/DB)

  16. Descriptive Analysis of Teachers' Responses to Problem Behavior Following Training

    Science.gov (United States)

    Addison, Laura; Lerman, Dorothea C.

    2009-01-01

    The procedures described by Sloman et al. (2005) were extended to an analysis of teachers' responses to problem behavior after they had been taught to withhold potential sources of positive and negative reinforcement following instances of problem behavior. Results were consistent with those reported previously, suggesting that escape from child…

  17. Emerging Themes in the Functional Analysis of Problem Behavior.

    Science.gov (United States)

    Carr, Edward G.

    1994-01-01

    The successful application of functional analysis to problem behavior suggests the need to examine: additional functional properties of behavior involving social avoidance, biological reinforcement, and respondent conditioning; the role of context (including social factors and biological factors); and the multidimensional character of assessment…

  18. Animal Research in the "Journal of Applied Behavior Analysis"

    Science.gov (United States)

    Edwards, Timothy L.; Poling, Alan

    2011-01-01

    This review summarizes the 6 studies with nonhuman animal subjects that have appeared in the "Journal of Applied Behavior Analysis" and offers suggestions for future research in this area. Two of the reviewed articles described translational research in which pigeons were used to illustrate and examine behavioral phenomena of applied significance…

  19. Citation Analysis of Skinner's "Verbal Behavior:" 1984-2004

    Science.gov (United States)

    Dymond, S.; O'Hora, D.; Whelan, R.; O'Donovan, A.

    2006-01-01

    The present study undertook an updated citation analysis of Skinner's (1957) "Verbal Behavior". All articles that cited "Verbal Behavior" between 1984 and 2004 were recorded and content analyzed into one of five categories; four empirical and one nonempirical. Of the empirical categories, studies that employed a verbal operant from Skinner's…

  20. The Analysis of Behavior: What's in It for Us?

    Science.gov (United States)

    Sidman, Murray

    2007-01-01

    When we publish behavioral research, we are not allowed to communicate the thrill, the poetry, or the exhilaration that are outcomes of the discovery process. Yet, these are among our most potent reinforcers. Explicit recognition of the emotional accompaniments to research could help attract students into the experimental analysis of behavior.…

  1. The Journal of the Experimental Analysis of Behavior at fifty

    National Research Council Canada - National Science Library

    Laties, Victor G

    2008-01-01

    ...: behavior analysis history, women as journal editors, geographical distribution of editors, online publishing, B.F. Skinner I have lived my professional life by decades. It was 60 years ago, in 1928, that I arrived at Harvard as a graduate student in psychology. Behaviorism was then only 15 years old. Ten years later, in 1938, I published The Behav...

  2. Integrative approaches utilizing oxytocin to enhance prosocial behavior: from animal and human social behavior to autistic social dysfunction.

    Science.gov (United States)

    Yamasue, Hidenori; Yee, Jason R; Hurlemann, René; Rilling, James K; Chen, Frances S; Meyer-Lindenberg, Andreas; Tost, Heike

    2012-10-10

    The prevalence of autism spectrum disorder (ASD) is as high as 1 in 100 individuals and is a heavy burden to society. Thus, identifying causes and treatments is imperative. Here, we briefly review the topics covered in our 2012 Society for Neuroscience Mini-Symposium entitled "Integrative Approaches Using Oxytocin to Enhance Prosocial Behavior: From Animal and Human Social Behavior to ASD's Social Dysfunction." This work is not meant to be a comprehensive review of oxytocin and prosocial behavior. Instead, we wish to share the newest findings on the effects of oxytocin on social behavior, the brain, and the social dysfunction of ASD at the molecular, genetic, systemic, and behavior levels, in varied subjects ranging from animal models to humans suffering from autism for the purpose of promoting further study for developing the clinical use of oxytocin in treating ASD.

  3. Applying behavior analysis to school violence and discipline problems: Schoolwide positive behavior support.

    Science.gov (United States)

    Anderson, Cynthia M; Kincaid, Donald

    2005-01-01

    School discipline is a growing concern in the United States. Educators frequently are faced with discipline problems ranging from infrequent but extreme problems (e.g., shootings) to less severe problems that occur at high frequency (e.g., bullying, insubordination, tardiness, and fighting). Unfortunately, teachers report feeling ill prepared to deal effectively with discipline problems in schools. Further, research suggests that many commonly used strategies, such as suspension, expulsion, and other reactive strategies, are not effective for ameliorating discipline problems and may, in fact, make the situation worse. The principles and technology of behavior analysis have been demonstrated to be extremely effective for decreasing problem behavior and increasing social skills exhibited by school children. Recently, these principles and techniques have been applied at the level of the entire school, in a movement termed schoolwide positive behavior support. In this paper we review the tenets of schoolwide positive behavior support, demonstrating the relation between this technology and applied behavior analysis.

  4. Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces

    OpenAIRE

    Küçükyılmaz, Ayşe; Sezgin, Tevfik Metin; Başdoğan, Çağatay

    2012-01-01

    An active research goal for human-computer interaction is to allow humans to communicate with computers in an intuitive and natural fashion, especially in real-life interaction scenarios. One approach that has been advocated to achieve this has been to build computer systems with human-like qualities and capabilities. In this paper, we present insight on how human-computer interaction can be enriched by employing the computers with behavioral patterns that naturally appear in human-human nego...

  5. Thorough Behavioral Analysis and Description: Its Relationship to Social Planning

    Science.gov (United States)

    Whol, Theodore H.

    1974-01-01

    A case is made for the utility and necessity of thorough behavioral analysis and description of developmentally disabled children using Wolfenberger's "Five Embarrassments in the Diagnostic Process" as a point of departure. (DB)

  6. Behavioral analysis of pheromones in fish.

    Science.gov (United States)

    Sorensen, Peter W

    2013-01-01

    Pheromones are chemicals that pass between members of the same species which have inherent meaning. Because most fish pheromones are mixtures, and their actions can be complex, behavioral assays are required to identify them. This chapter describes a few strategies and two specific methods (one for measuring attraction and another for sexual arousal) that can serve this purpose in fishes that live in nonflowing water such as the carps.

  7. "Anatomical simulation" of the biomechanical behavior of the human mandible.

    Science.gov (United States)

    Kober, Cornelia; Hellmich, Christian; Stübinger, Stefan; Zeilhofer, Hans-Florian; Sader, Robert

    2015-01-01

    The load-carrying behavior of the human mandible can be described using finite element simulation, enabling investigations about physiological and pathological skeletal adaption. "Anatomical simulation" implies a stepwise approximation towards the anatomical reality. The project is structured in three steps. In Step 1, the preprocessing, the simulation model is provided. Step 2 is the numerical computation. Step 3 is dedicated to the interpretation of the results. The requirements of the preprocessing are: a) realization of the organ's individual anatomy, namely its outer shape; b) the tissue's elastic properties, thus its inner consistency; and c) the organ's mechanical loads. For physiological mandibular loading, these are due to muscles, temporomandibular joints, and tooth forces. Meanwhile, the reconstruction of the macroscopic anatomy from computed tomography data is standard. The periodontal ligament is inserted ex post using an approach developed by the authors. The bone is modeled anisotropically and inhomogeneously. By the visualization of the individual fiber course, the muscular force vectors are realized. The mandibular condyle is freely mobile in a kind of simplified joint capsule. For the realization of bite forces, several approaches are available. An extendible software tool is provided, enabling the user - by variable input of muscle and bite forces - to examine the individual patient's biomechanics, eg, the influence of the periodontal ligament, the condition of the temporomandibular joints, atrophic processes, or the biomechanical situation of dental implants. By stepwise approximation towards the anatomical reality, the mandibular simulation will be advanced to a valuable tool for diagnosis and prognosis.

  8. Linear and nonlinear behavior of human and artificial lip reeds

    Science.gov (United States)

    Campbell, Murray; Richards, Orlando

    2003-10-01

    In a musical instrument of the lip reed aerophone class, the flow of air from the player's lungs into the resonating air column is modulated by the periodic opening and closing of the pressure-controlled valve formed by the player's lips. The nature of the operation of this valve has been the subject of considerable study in recent years. Since the pressure-flow relationship is strongly nonlinear, the behavior of the coupled system of lips and air column can only be modeled using the methods of nonlinear dynamics. Extensive studies of artificial lip reeds, in which the lips are simulated by water-filled latex tubes, have shown them to be capable of reproducing musically important features of human playing, including the lipping of notes both below and above an acoustic resonance of the air column. Measurements of the linear response of artificial reeds have guided the development of more realistic models of the lip reed, while studies of both real and artificial lips using a high-speed digital camera have shed fresh light on the nature of the lip motion at the large amplitudes typical of loud playing. [Work supported by EPSRC.

  9. TECHNOLOGICAL DEVELOPMENT OF DRIVING SUPPORT SYSTEMS BASED ON HUMAN BEHAVIORAL CHARACTERISTICS

    Directory of Open Access Journals (Sweden)

    Shunichi DOI

    2006-01-01

    Full Text Available Driving support and cruise assist systems are of growing importance in achieving both road traffic safety and convenience. Such driver support seeks to achieve, with the highest possible quality, nothing less than “driver-vehicle symbiosis under all conditions.” At the same time, many traffic accidents result from improper driver behavior. The author focuses on driver behavior under various driving conditions, conducting detailed measurement and analysis of visual perception and attention characteristics as well as perceptual characteristics involved in driving. The aim in doing so is to support research on driving support systems and driving workload reduction technologies that function as human-vehicle systems and take such characteristics into account.

  10. Task Decomposition in Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Boring, Ronald Laurids [Idaho National Laboratory; Joe, Jeffrey Clark [Idaho National Laboratory

    2014-06-01

    In the probabilistic safety assessments (PSAs) used in the nuclear industry, human failure events (HFEs) are determined as a subset of hardware failures, namely those hardware failures that could be triggered by human action or inaction. This approach is top-down, starting with hardware faults and deducing human contributions to those faults. Elsewhere, more traditionally human factors driven approaches would tend to look at opportunities for human errors first in a task analysis and then identify which of those errors is risk significant. The intersection of top-down and bottom-up approaches to defining HFEs has not been carefully studied. Ideally, both approaches should arrive at the same set of HFEs. This question remains central as human reliability analysis (HRA) methods are generalized to new domains like oil and gas. The HFEs used in nuclear PSAs tend to be top-down— defined as a subset of the PSA—whereas the HFEs used in petroleum quantitative risk assessments (QRAs) are more likely to be bottom-up—derived from a task analysis conducted by human factors experts. The marriage of these approaches is necessary in order to ensure that HRA methods developed for top-down HFEs are also sufficient for bottom-up applications.

  11. 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.

  12. Continuous Recording and Interobserver Agreement Algorithms Reported in the "Journal of Applied Behavior Analysis" (1995-2005)

    Science.gov (United States)

    Mudford, Oliver C.; Taylor, Sarah Ann; Martin, Neil T.

    2009-01-01

    We reviewed all research articles in 10 recent volumes of the "Journal of Applied Behavior Analysis (JABA)": Vol. 28(3), 1995, through Vol. 38(2), 2005. Continuous recording was used in the majority (55%) of the 168 articles reporting data on free-operant human behaviors. Three methods for reporting interobserver agreement (exact agreement,…

  13. No Leader is Ever Off Stage: Behavioral Analysis of Leadership

    Science.gov (United States)

    2006-01-01

    ndupress .ndu.edu   issue 43, 4th quarter 2006  /  JfQ 8 IN T E R A G E N C y D IA L o G U E Behavioral Analysis of Leadership By B R E N D A...No Leader Is Ever Off Stage: Behavioral Analysis of Leadership 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d

  14. Ontology-based Deep Learning for Human Behavior Prediction with Explanations in Health Social Networks.

    Science.gov (United States)

    Phan, Nhathai; Dou, Dejing; Wang, Hao; Kil, David; Piniewski, Brigitte

    2017-04-01

    Human behavior modeling is a key component in application domains such as healthcare and social behavior research. In addition to accurate prediction, having the capacity to understand the roles of human behavior determinants and to provide explanations for the predicted behaviors is also important. Having this capacity increases trust in the systems and the likelihood that the systems actually will be adopted, thus driving engagement and loyalty. However, most prediction models do not provide explanations for the behaviors they predict. In this paper, we study the research problem, human behavior prediction with explanations, for healthcare intervention systems in health social networks. We propose an ontology-based deep learning model (ORBM(+)) for human behavior prediction over undirected and nodes-attributed graphs. We first propose a bottom-up algorithm to learn the user representation from health ontologies. Then the user representation is utilized to incorporate self-motivation, social influences, and environmental events together in a human behavior prediction model, which extends a well-known deep learning method, the Restricted Boltzmann Machine. ORBM(+) not only predicts human behaviors accurately, but also, it generates explanations for each predicted behavior. Experiments conducted on both real and synthetic health social networks have shown the tremendous effectiveness of our approach compared with conventional methods.

  15. Ontology-Based High-Level Context Inference for Human Behavior Identification

    Directory of Open Access Journals (Sweden)

    Claudia Villalonga

    2016-09-01

    Full Text Available Recent years have witnessed a huge progress in the automatic identification of individual primitives of human behavior, such as activities or locations. However, the complex nature of human behavior demands more abstract contextual information for its analysis. This work presents an ontology-based method that combines low-level primitives of behavior, namely activity, locations and emotions, unprecedented to date, to intelligently derive more meaningful high-level context information. The paper contributes with a new open ontology describing both low-level and high-level context information, as well as their relationships. Furthermore, a framework building on the developed ontology and reasoning models is presented and evaluated. The proposed method proves to be robust while identifying high-level contexts even in the event of erroneously-detected low-level contexts. Despite reasonable inference times being obtained for a relevant set of users and instances, additional work is required to scale to long-term scenarios with a large number of users.

  16. Human Behavior, Social Environment, Social Reconstruction, and Social Policy: A System of Linkages, Goals, and Priorities.

    Science.gov (United States)

    Mohan, Brij

    1980-01-01

    The idea of a wholesome relationship between human behavior and the forces of social environment is explored. The goals and foci of the human behavior and social environment component in social work education are reconceptualized in the light of knowledge that underscores the need for social reconstruction. (Author/MLW)

  17. Prediction and Analysis of students Behavior using BARC Algorithm

    Directory of Open Access Journals (Sweden)

    M.Sindhuja

    2013-06-01

    Full Text Available Educational Data mining is a recent trends where data mining methods are experimented for the improvement of student performance in academics. The work describes the mining of higher education students’ related attributes such as behavior, attitude and relationship. The data were collected from a higher education institution in terms of the mentioned attributes. The proposed work explored Behavior Attitude Relationship Clustering (BARC Algorithm, which showed the improvement in students’ performance in terms of predicting good behavior, average attitude and good relationship withfaculty members and Tutors. The Hierarchical clusters were grouped with related similarities and analysis was experimented using WEKA tool. The resulted analysis describes the input parameters werefound optimal.

  18. 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

  19. Analysis of sexual behavior in adolescents.

    Science.gov (United States)

    Teva, Inmaculada; Bermudez, M Paz; Ramiro, Maria T; Ramiro-Sanchez, Tamara

    2013-10-01

    The aim of this study was to describe some characteristics of vaginal, anal and oral sexual behavior in Spanish adolescents. It was a cross-sectional descriptive population study conducted using a probabilistic sample survey. The sample was composed of 4,612 male and female adolescents, of whom 1,686 reported having penetrative sexual experience. Sample size was established with a 97% confidence level and a 3% estimation error. Data collection took place in secondary education schools. Mean age of vaginal sex initiation was 15 years. Compared to females, males reported an earlier age of anal and oral sex initiation and a larger number of vaginal and anal sexual partners. Males also reported a higher frequency of penetrative sexual relations under the influence of alcohol or other drugs. A higher percentage of females than males reported not using a condom in their first anal sexual experience. This study provides a current overview of the sexual behavior of adolescents that can be useful for the design of future programs aimed at preventing HIV and sexually transmitted infections (STIs).

  20. Behavioral analysis of tiger night housing practices.

    Science.gov (United States)

    Miller, Angela; Leighty, Katherine A; Bettinger, Tamara L

    2013-03-01

    The systematic evaluation of changes in animal management practices is critical to ensuring the best possible welfare. Here, we examined the behavioral impacts of intermittently housing our six adult female tigers, who have been housed socially for much of their lives, individually overnight to allow for specialized care required by their advancing age. We looked for behavioral changes indicative of both positive and negative changes in welfare by monitoring time spent asleep, sleeping position, body position while awake, as well as pacing, door pounding, self-grooming, roaring, and chuffing while housed socially as compared to individually overnight. Housing condition did not affect time spent asleep, sleeping positions assumed or the more preferred body positions while awake. Further, pacing, door-pounding, and roaring were infrequent and not altered by housing condition. Self-grooming did increase when housed individually but no evidence of over-grooming was present and chuffing, a close proximity social vocalization, was more likely to occur when socially housed. Taken together, these findings support the notion that transitioning to individual housing as needed is a viable option for managing cats accustomed to being maintained in a social group. © 2013 Wiley Periodicals, Inc.

  1. You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human-Robot Interaction.

    Science.gov (United States)

    Abubshait, Abdulaziz; Wiese, Eva

    2017-01-01

    Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze following) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both appearance and behavior affect human-robot interaction but that the two triggers seem to operate in isolation, with appearance more strongly impacting attitudes, and behavior more strongly affecting performance. The implications of these findings for human-robot interaction are discussed.

  2. International Behavior Analysis: The Operationalization Task

    Science.gov (United States)

    1976-02-15

    both source analysis and process analysis: (l) pcycholocical; (2) political ; (3) societal; (U) interstate; and (5) global. Nations have been...dimensions, generating 27 variables for 56 nations. Events are elftMified on th; basis of’six dimensions: (l) spa- tial; (?) rclaiicnal; (3) ter.-xorul, (U...stimuli. Accor- d ncly, it is potslbl« to identify three d’..estic (or internal) and two foreign (»«eternal) stimuli: (l) psycholoßical- (2) political

  3. The quantitative failure of human reliability analysis

    Energy Technology Data Exchange (ETDEWEB)

    Bennett, C.T.

    1995-07-01

    This philosophical treatise argues the merits of Human Reliability Analysis (HRA) in the context of the nuclear power industry. Actually, the author attacks historic and current HRA as having failed in informing policy makers who make decisions based on risk that humans contribute to systems performance. He argues for an HRA based on Bayesian (fact-based) inferential statistics, which advocates a systems analysis process that employs cogent heuristics when using opinion, and tempers itself with a rational debate over the weight given subjective and empirical probabilities.

  4. Multimodal Surveillance: Behavior analysis for recognizing stress and aggression

    NARCIS (Netherlands)

    Lefter, I.

    2014-01-01

    Nowadays, camera systems are installed in military areas as well as in public spaces like schools, shopping malls, airports, and football stadiums. Human operators are monitoring the screens, looking for any signs of unwanted behavior and negative incidents. The task requires working personnel 24/7.

  5. Is "circling" behavior in humans related to postural asymmetry?

    Directory of Open Access Journals (Sweden)

    Emma Bestaven

    Full Text Available In attempting to walk rectilinearly in the absence of visual landmarks, persons will gradually turn in a circle to eventually become lost. The aim of the present study was to provide insights into the possible underlying mechanisms of this behavior. For each subject (N = 15 six trajectories were monitored during blindfolded walking in a large enclosed area to suppress external cues, and ground irregularities that may elicit unexpected changes in direction. There was a substantial variability from trial to trial for a given subject and between subjects who could either veer very early or relatively late. Of the total number of trials, 50% trajectories terminated on the left side, 39% on the right side and 11% were defined as "straight". For each subject, we established a "turning score" that reflected his/her preferential side of veering. The turning score was found to be unrelated to any evident biomechanical asymmetry or functional dominance (eye, hand.... Posturographic analysis, used to assess if there was a relationship between functional postural asymmetry and veering revealed that the mean position of the center of foot pressure during balance tests was correlated with the turning score. Finally, we established that the mean position of the center of pressure was correlated with perceived verticality assessed by a subjective verticality test. Together, our results suggest that veering is related to a "sense of straight ahead" that could be shaped by vestibular inputs.

  6. 单侧海马结构损伤患者特征-整合工作记忆的行为学分析%Behavioral analysis by association working memory tasks of the human with half hippocampal formation lesion

    Institute of Scientific and Technical Information of China (English)

    刘中华; 彭庆友; 潘军利; 陈湛愔; 周曙

    2009-01-01

    Objective To investigate the behavioral characteristic of the human with half hippocampal formation lesion engaged in color task, location task and color-location associated task of working memory. Meth-ods The behavioral performances were recorded from 13 patients of half hippocampal formation lesion and 13 healthy subjects while performing three binding tasks. At-test was adopted. Results In color task or location task, behavioral performances of reaction time [(1167.46±99.52) ms;(915.85±46.19) ms] and accuracy [(79.23±2.42) % ;(81.77±2.55) % ] of patients had no statistical significance of the healthy subjects [(1132.61±97.90) ms, (80.69±1.55) % ;(888.77±65.94) ms, (83.69±2.63) %]. But that in associated task of patients were statistical significant worse. In color-location task, the reaction time[(1146.69±51.93)ms] of patients is longer than that of the healthy subjects [(1073.08±51.42)ms], and the reaction accuracy [(73.92 ±2.87)%] of patients was worse than that of healthy subjects [(83.92±2.72)%]. Conclusion The hipp-ocampal formation plays a significant role for working memory of simple visuo-spatial associations.%目的 探讨单侧海马结构损伤患者在工作记忆时分别记忆颜色、空间及颜色-空间整合时的认知行为特点.方法 13例单侧海马结构损伤患者和13名年龄、性别及文化程度相匹配的健康对照者分别从事颜色、位置和颜色-位置整合三种工作记忆延迟匹配样本任务,计算机记录其行为反应时间和正确率,并统计学分析.结果 海马结构损伤组在颜色记忆或空间记忆任务时的行为反应时间[(1167.46±99.52)ms;(915.85±46.19)ms]和正确率[(79.23±2.42)%;(81.77±2.55)%]较对照组[(1132.61±97.90)ms,(80.69±1.55)%;(888.77±65.94)ms,(83.69±-2.63)%]差异均无统计学意义(P>0.05);颜色-空间整合记忆时其反应时间[(1146.69±51.93)ms]长于健康对照组[(1073.08±51.42)ms],而反应正确率[(73.92±2.87)%]却较对照组[(83

  7. Study of Thermal Analysis Behavior of Fenbendazole and Rafoxanide.

    Science.gov (United States)

    Attia, Ali Kamal; Saad, Ahmed Sayed; Alaraki, Manal Sami; Elzanfaly, Eman Saad

    2017-06-01

    Purpose: Thermal analysis techniques have been applied to study the thermal behavior of fenbendazole (Fen) and rafoxanide (Raf). Semi-empirical molecular orbital calculations were used to confirm these results. Methods: Thermogravimetric analysis, derivative thermogravimetry, differential thermal analysis and differential scanning calorimetry were used to determine the thermal behavior and purity of the drugs under investigation. Results: Thermal behavior of Fen and Raf were augmented using semi-empirical molecular orbital calculations. The purity values were found to be 99.17% and 99.60% for Fen and Raf, respectively. Conclusion: Thermal analysis techniques gave satisfactory results to obtain quality control parameters such as melting point and degree of purity at low cost, furthermore, its simplicity and sensitivity justifies its application in quality control laboratories.

  8. The philosophical terrain of behavior analysis: a review of B. A. Thyer (Ed.), The Philosophical Legacy of Behaviorism.

    Science.gov (United States)

    Lamal, P A

    2000-09-01

    The Philosophical Legacy of Behaviorism, edited by Bruce A. Thyer, is a set of original contributions, each dealing, from a behavioral stance, with one of the following major topics of philosophy: epistemology, ethics, consciousness, language, free will and determinism, and self-control. Confusions about radical behaviorism and its similarities to, and differences from, other behavioral and non-behavioral approaches are described in the book, which provides a state-of-the-art description of the philosophical underpinnings of behavior analysis.

  9. Toward a Behavioral Analysis of Joint Attention

    Science.gov (United States)

    Dube, William V.; MacDonald, Rebecca P. F.; Mansfield, Renee C.; Holcomb, William L.; Ahearn, William H.

    2004-01-01

    Joint attention (JA) initiation is defined in cognitive-developmental psychology as a child's actions that verify or produce simultaneous attending by that child and an adult to some object or event in the environment so that both may experience the object or event together. This paper presents a contingency analysis of gaze shift in JA…

  10. Functional analysis screening for problem behavior maintained by automatic reinforcement.

    Science.gov (United States)

    Querim, Angie C; Iwata, Brian A; Roscoe, Eileen M; Schlichenmeyer, Kevin J; Ortega, Javier Virués; Hurl, Kylee E

    2013-01-01

    A common finding in previous research is that problem behavior maintained by automatic reinforcement continues to occur in the alone condition of a functional analysis (FA), whereas behavior maintained by social reinforcement typically is extinguished. Thus, the alone condition may represent an efficient screening procedure when maintenance by automatic reinforcement is suspected. We conducted a series of 5-min alone (or no-interaction) probes for 30 cases of problem behavior and compared initial predictions of maintenance or extinction to outcomes obtained in subsequent FAs. Results indicated that data from the screening procedure accurately predicted that problem behavior was maintained by automatic reinforcement in 21 of 22 cases and by social reinforcement in 7 of 8 cases. Thus, results of the screening accurately predicted the function of problem behavior (social vs. automatic reinforcement) in 28 of 30 cases.

  11. Analysis of coalescence behavior for compressed droplets

    Science.gov (United States)

    Choi, Sung Woong; Lee, Dong Eon; Lee, Woo Il; Kim, Han Sang

    2017-03-01

    Coalescence of droplets is a significant phenomenon, and it has been adapted to many applications such as raindrop formation, emulsion polymerization, ink-jet printing, coating, and multiphase flows. In this study, the morphological characteristics of two compressed adjacent droplets between two parallel plates were investigated to study the phenomenon of coalescence of droplets. By controlling the distance of the dispensed droplets, various results for coalescence of droplets were evaluated, especially, from the view of the minor axis, major axis, and meniscus liquid bridge of the coalesced droplet. Experimental results show that the length of the meniscus liquid bridge rapidly increases and then the rate of increase slows with time. The increase rate of the major and minor axes is largely influenced by the meniscus liquid bridge, which is mainly due to the curvature between the droplets. The numerical modeling of the coalescence of the two compressed droplets between two parallel plates was presented and simulation was conducted to realize the coalescence behavior. Comparison with numerical simulation showed that there was a good agreement with the experimental results.

  12. A Behavioral Analysis of Morality and Value.

    Science.gov (United States)

    Hocutt, Max

    2013-01-01

    Morality has long been conceived as divinely instituted, so otherworldly, rules meant not to describe or explain behavior but to guide it towards an absolute good. The philosophical formulation of this theory by Plato was later grafted onto Christian thought by Augustine and Aquinas. The equally ancient theory of the Greek sophist Protagoras (that the good is relative to personal preferences and morality to man-made social customs) was forgotten until revived in the 18th and 19th centuries by such empiricists as David Hume and J. S. Mill. Then it was dismissed again in the 20th century by G. E. Moore and W. D. Ross as naturalistic fallacy, that is, conflation of what is with what ought to be. However, those who took this dismissive attitude themselves made the reverse mistake of conflating what ideally ought to be with what actually is. In other words, they mistook ideals for actualities. As B. F. Skinner (1971) said in Beyond Freedom and Dignity, sorting things out requires behaviorist parsing of the good (the personally reinforcing) and duty (the socially reinforced).

  13. Environmental behavior and analysis of agricultural sulfur.

    Science.gov (United States)

    Griffith, Corey M; Woodrow, James E; Seiber, James N

    2015-11-01

    Sulfur has been widely used for centuries as a staple for pest and disease management in agriculture. Presently, it is the largest-volume pesticide in use worldwide. This review describes the sources and recovery methods for sulfur, its allotropic forms and properties and its agricultural uses, including development and potential advantages of nanosulfur as a fungicide. Chemical and microbial reactivity, interactions in soil and water and analytical methods for determination in environmental samples and foodstuffs, including inexpensive analytical methods for sulfur residues in wine, beer and other food/beverage substrates, will be reviewed. The toxicology of sulfur towards humans and agriculturally important fungi is included, with some restrictions on use to promote safety. The review concludes with areas for which more research is warranted.

  14. Advancing Usability Evaluation through Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ronald L. Boring; David I. Gertman

    2005-07-01

    This paper introduces a novel augmentation to the current heuristic usability evaluation methodology. The SPAR-H human reliability analysis method was developed for categorizing human performance in nuclear power plants. Despite the specialized use of SPAR-H for safety critical scenarios, the method also holds promise for use in commercial off-the-shelf software usability evaluations. The SPAR-H method shares task analysis underpinnings with human-computer interaction, and it can be easily adapted to incorporate usability heuristics as performance shaping factors. By assigning probabilistic modifiers to heuristics, it is possible to arrive at the usability error probability (UEP). This UEP is not a literal probability of error but nonetheless provides a quantitative basis to heuristic evaluation. When combined with a consequence matrix for usability errors, this method affords ready prioritization of usability issues.

  15. Human Behavior, Learning, and the Developing Brain: Typical Development

    Science.gov (United States)

    Coch, Donna, Ed.; Fischer, Kurt W., Ed.; Dawson, Geraldine, Ed.

    2010-01-01

    This volume brings together leading authorities from multiple disciplines to examine the relationship between brain development and behavior in typically developing children. Presented are innovative cross-sectional and longitudinal studies that shed light on brain-behavior connections in infancy and toddlerhood through adolescence. Chapters…

  16. Industrial Buying Behavior Related to Human Resource Consulting Services

    DEFF Research Database (Denmark)

    Hollensen, Svend; Grünbaum, Niels Nolsøe; Andresen, Marc

    2013-01-01

    Early B2B buying-behavior literature strongly emphasizes the rational aspects of buying behavior in B2B services. Based on a comprehensive exploratory study of Danish companies’ purchases of HR consulting services, the authors provide insights into the factors that determine how Danish companies ...

  17. Industrial Buying Behavior Related to Human Resource Consulting Services

    DEFF Research Database (Denmark)

    Hollensen, Svend; Grünbaum, Niels Nolsøe; Andresen, Marc

    2013-01-01

    Early B2B buying-behavior literature strongly emphasizes the rational aspects of buying behavior in B2B services. Based on a comprehensive exploratory study of Danish companies’ purchases of HR consulting services, the authors provide insights into the factors that determine how Danish companies ...

  18. Human Behavior, Learning, and the Developing Brain: Typical Development

    Science.gov (United States)

    Coch, Donna, Ed.; Fischer, Kurt W., Ed.; Dawson, Geraldine, Ed.

    2010-01-01

    This volume brings together leading authorities from multiple disciplines to examine the relationship between brain development and behavior in typically developing children. Presented are innovative cross-sectional and longitudinal studies that shed light on brain-behavior connections in infancy and toddlerhood through adolescence. Chapters…

  19. Big Data Analysis of Human Genome Variations

    KAUST Repository

    Gojobori, Takashi

    2016-01-25

    Since the human genome draft sequence was in public for the first time in 2000, genomic analyses have been intensively extended to the population level. The following three international projects are good examples for large-scale studies of human genome variations: 1) HapMap Data (1,417 individuals) (http://hapmap.ncbi.nlm.nih.gov/downloads/genotypes/2010-08_phaseII+III/forward/), 2) HGDP (Human Genome Diversity Project) Data (940 individuals) (http://www.hagsc.org/hgdp/files.html), 3) 1000 genomes Data (2,504 individuals) http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/ If we can integrate all three data into a single volume of data, we should be able to conduct a more detailed analysis of human genome variations for a total number of 4,861 individuals (= 1,417+940+2,504 individuals). In fact, we successfully integrated these three data sets by use of information on the reference human genome sequence, and we conducted the big data analysis. In particular, we constructed a phylogenetic tree of about 5,000 human individuals at the genome level. As a result, we were able to identify clusters of ethnic groups, with detectable admixture, that were not possible by an analysis of each of the three data sets. Here, we report the outcome of this kind of big data analyses and discuss evolutionary significance of human genomic variations. Note that the present study was conducted in collaboration with Katsuhiko Mineta and Kosuke Goto at KAUST.

  20. Scale dependent behavioral responses to human development by a large predator, the puma.

    Science.gov (United States)

    Wilmers, Christopher C; Wang, Yiwei; Nickel, Barry; Houghtaling, Paul; Shakeri, Yasaman; Allen, Maximilian L; Kermish-Wells, Joe; Yovovich, Veronica; Williams, Terrie

    2013-01-01

    The spatial scale at which organisms respond to human activity can affect both ecological function and conservation planning. Yet little is known regarding the spatial scale at which distinct behaviors related to reproduction and survival are impacted by human interference. Here we provide a novel approach to estimating the spatial scale at which a top predator, the puma (Puma concolor), responds to human development when it is moving, feeding, communicating, and denning. We find that reproductive behaviors (communication and denning) require at least a 4× larger buffer from human development than non-reproductive behaviors (movement and feeding). In addition, pumas give a wider berth to types of human development that provide a more consistent source of human interference (neighborhoods) than they do to those in which human presence is more intermittent (arterial roads with speeds >35 mph). Neighborhoods were a deterrent to pumas regardless of behavior, while arterial roads only deterred pumas when they were communicating and denning. Female pumas were less deterred by human development than males, but they showed larger variation in their responses overall. Our behaviorally explicit approach to modeling animal response to human activity can be used as a novel tool to assess habitat quality, identify wildlife corridors, and mitigate human-wildlife conflict.

  1. Team behaviors in emergency care: a qualitative study using behavior analysis of what makes team work

    Directory of Open Access Journals (Sweden)

    Mazzocato Pamela

    2011-11-01

    Full Text Available Abstract Objective Teamwork has been suggested as a promising approach to improving care processes in emergency departments (ED. However, for teamwork to yield expected results, implementation must involve behavior changes. The aim of this study is to use behavior analysis to qualitatively examine how teamwork plays out in practice and to understand eventual discrepancies between planned and actual behaviors. Methods The study was set in a Swedish university hospital ED during the initial phase of implementation of teamwork. The intervention focused on changing the environment and redesigning the work process to enable teamwork. Each team was responsible for entire care episodes, i.e. from patient arrival to discharge from the ED. Data was collected through 3 days of observations structured around an observation scheme. Behavior analysis was used to pinpoint key teamwork behaviors for consistent implementation of teamwork and to analyze the contingencies that decreased or increased the likelihood of these behaviors. Results We found a great discrepancy between the planned and the observed teamwork processes. 60% of the 44 team patients observed were handled solely by the appointed team members. Only 36% of the observed patient care processes started according to the description in the planned teamwork process, that is, with taking patient history together. Beside this behavior, meeting in a defined team room and communicating with team members were shown to be essential for the consistent implementation of teamwork. Factors that decreased the likelihood of these key behaviors included waiting for other team members or having trouble locating each other. Getting work done without delay and having an overview of the patient care process increased team behaviors. Moreover, explicit instructions on when team members should interact and communicate increased adherence to the planned process. Conclusions This study illustrates how behavior analysis

  2. Team behaviors in emergency care: a qualitative study using behavior analysis of what makes team work.

    Science.gov (United States)

    Mazzocato, Pamela; Forsberg, Helena Hvitfeldt; Schwarz, Ulrica von Thiele

    2011-11-15

    Teamwork has been suggested as a promising approach to improving care processes in emergency departments (ED). However, for teamwork to yield expected results, implementation must involve behavior changes. The aim of this study is to use behavior analysis to qualitatively examine how teamwork plays out in practice and to understand eventual discrepancies between planned and actual behaviors. The study was set in a Swedish university hospital ED during the initial phase of implementation of teamwork. The intervention focused on changing the environment and redesigning the work process to enable teamwork. Each team was responsible for entire care episodes, i.e. from patient arrival to discharge from the ED. Data was collected through 3 days of observations structured around an observation scheme. Behavior analysis was used to pinpoint key teamwork behaviors for consistent implementation of teamwork and to analyze the contingencies that decreased or increased the likelihood of these behaviors. We found a great discrepancy between the planned and the observed teamwork processes. 60% of the 44 team patients observed were handled solely by the appointed team members. Only 36% of the observed patient care processes started according to the description in the planned teamwork process, that is, with taking patient history together. Beside this behavior, meeting in a defined team room and communicating with team members were shown to be essential for the consistent implementation of teamwork. Factors that decreased the likelihood of these key behaviors included waiting for other team members or having trouble locating each other. Getting work done without delay and having an overview of the patient care process increased team behaviors. Moreover, explicit instructions on when team members should interact and communicate increased adherence to the planned process. This study illustrates how behavior analysis can be used to understand discrepancies between planned and observed

  3. A Typology of Child School Behavior: Investigation Using Latent Profile Analysis and Cluster Analysis

    Science.gov (United States)

    Mindrila, Diana L.

    2016-01-01

    To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…

  4. A Typology of Child School Behavior: Investigation Using Latent Profile Analysis and Cluster Analysis

    Science.gov (United States)

    Mindrila, Diana L.

    2016-01-01

    To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…

  5. Shape and Deformation Analysis of the Human Ear Canal

    DEFF Research Database (Denmark)

    Darkner, Sune

    This thesis presents work on the analysis of the dynamic behavior of the human ear canal. The work is based on two studies designed during the project, a pilot study with 30 normal hearing subjects and a main study with 42 hearing impaired subjects, all hearing-aid users. The main focus is on the......This thesis presents work on the analysis of the dynamic behavior of the human ear canal. The work is based on two studies designed during the project, a pilot study with 30 normal hearing subjects and a main study with 42 hearing impaired subjects, all hearing-aid users. The main focus...... is on the extraction and analysis of the shape and deformation of the ear canal due to movements of the mandible, leaning over, and turning of the head. Methods for surface registration with focus on non-rigid registration are presented, as well as a wide range of statistical methods used for analyzing the shapes...... and deformation fields. The results show that the ear canal changes shape significantly in all subjects and that the deformation is more complicated than previously described in the literature. It is shown that the deformation at specific locations in the ear is significantly correlated to comfort issues reported...

  6. 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...

  7. Analysis of Early Military Attrition Behavior.

    Science.gov (United States)

    1984-06-01

    Quitting,’ Review of Economics and Statistics, Vol. 62., August 1980, pp. 388-398. Vroom , Victor , Work and Motivation, Wiley, New York, 1974. Warner, John...and older recruits are more attrition-prone than younger recruits. 4M gg~~mi~yCLAIPICTIOWOF H S AGK(’ 0 g~tr.E R-3069-MIL Analysis of Early Military...marginal revenue product (MRP). Thus, lit - h (MRPit - wit) (2) where lit is the probability of a worker with t years of tenure being laid off a job i

  8. Hemispherical projection lens for insect behavior analysis

    Science.gov (United States)

    Aikio, Mika; Takalo, Jouni; Lempeä, Mikko; Vähäsöyrinki, Mikko

    2010-05-01

    Virtual reality projection systems have been used formerly to study if mammals, including humans, are able to act in or understand virtual environments. Insects have been more difficult to study in such circumstances, one of the factors being their large, almost hemispherical field of view. Designing such a projection system that is capable of fulfilling the full field of vision of an insect is a challenging task. Normally, when designing a photographic objective, one of the goals is to minimize field curvature in order to provide sharp image through the whole sensor surface. However, because the image surface in this case is a sphere, flat field is not desirable and the design task becomes an opposite of a typical camera lens. Introducing field curvature becomes mandatory. We have designed and built a system with satisfactory image quality throughout the whole spherical surface with reasonable number of lenses as an add-on for common digital projectors. The manufactured system is able to project an image to a solid angle of 11.95 steradians, and when compared to the whole sphere which is represented with a solid angle of 4π steradians, approximately 5 % of the total sphere area is not illuminated.

  9. Privacy and human behavior in the age of information.

    Science.gov (United States)

    Acquisti, Alessandro; Brandimarte, Laura; Loewenstein, George

    2015-01-30

    This Review summarizes and draws connections between diverse streams of empirical research on privacy behavior. We use three themes to connect insights from social and behavioral sciences: people's uncertainty about the consequences of privacy-related behaviors and their own preferences over those consequences; the context-dependence of people's concern, or lack thereof, about privacy; and the degree to which privacy concerns are malleable—manipulable by commercial and governmental interests. Organizing our discussion by these themes, we offer observations concerning the role of public policy in the protection of privacy in the information age. Copyright © 2015, American Association for the Advancement of Science.

  10. Spatial behavior analysis at the global level using fractal geometry.

    Science.gov (United States)

    Sambrook, Roger C

    2008-01-01

    Previous work has suggested that an estimate of fractal dimension can provide a useful metric for quantifying settlement patterns. This study uses fractal methods to investigate settlement patterns at a global scale showing that the scaling behavior of the pattern of the world's largest cities corresponds to that typically observed for coastlines and rivers. This serves to validate the use of fractal dimension as a scale-independent measure of settlement patterns which can be correlated with other physical features. Such a measure may be a useful validation criterion for models of human settlement and spatial behavior.

  11. A technique for human error analysis (ATHEANA)

    Energy Technology Data Exchange (ETDEWEB)

    Cooper, S.E.; Ramey-Smith, A.M.; Wreathall, J.; Parry, G.W. [and others

    1996-05-01

    Probabilistic risk assessment (PRA) has become an important tool in the nuclear power industry, both for the Nuclear Regulatory Commission (NRC) and the operating utilities. Human reliability analysis (HRA) is a critical element of PRA; however, limitations in the analysis of human actions in PRAs have long been recognized as a constraint when using PRA. A multidisciplinary HRA framework has been developed with the objective of providing a structured approach for analyzing operating experience and understanding nuclear plant safety, human error, and the underlying factors that affect them. The concepts of the framework have matured into a rudimentary working HRA method. A trial application of the method has demonstrated that it is possible to identify potentially significant human failure events from actual operating experience which are not generally included in current PRAs, as well as to identify associated performance shaping factors and plant conditions that have an observable impact on the frequency of core damage. A general process was developed, albeit in preliminary form, that addresses the iterative steps of defining human failure events and estimating their probabilities using search schemes. Additionally, a knowledge- base was developed which describes the links between performance shaping factors and resulting unsafe actions.

  12. TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems.

    Science.gov (United States)

    Cao, Nan; Shi, Conglei; Lin, Sabrina; Lu, Jie; Lin, Yu-Ru; Lin, Ching-Yung

    2016-01-01

    Users with anomalous behaviors in online communication systems (e.g. email and social medial platforms) are potential threats to society. Automated anomaly detection based on advanced machine learning techniques has been developed to combat this issue; challenges remain, though, due to the difficulty of obtaining proper ground truth for model training and evaluation. Therefore, substantial human judgment on the automated analysis results is often required to better adjust the performance of anomaly detection. Unfortunately, techniques that allow users to understand the analysis results more efficiently, to make a confident judgment about anomalies, and to explore data in their context, are still lacking. In this paper, we propose a novel visual analysis system, TargetVue, which detects anomalous users via an unsupervised learning model and visualizes the behaviors of suspicious users in behavior-rich context through novel visualization designs and multiple coordinated contextual views. Particularly, TargetVue incorporates three new ego-centric glyphs to visually summarize a user's behaviors which effectively present the user's communication activities, features, and social interactions. An efficient layout method is proposed to place these glyphs on a triangle grid, which captures similarities among users and facilitates comparisons of behaviors of different users. We demonstrate the power of TargetVue through its application in a social bot detection challenge using Twitter data, a case study based on email records, and an interview with expert users. Our evaluation shows that TargetVue is beneficial to the detection of users with anomalous communication behaviors.

  13. Three-Dimensional Scaffold from Decellularized Human Gingiva for Cell Cultures: Glycoconjugates and Cell Behavior

    Directory of Open Access Journals (Sweden)

    Seyed Ali Banihashem Rad

    2013-01-01

    Full Text Available Objective: We studied both the presence of some carbohydrate compounds in a three-dimensional (3D matrix harvested from human gingiva and the cell behavior in this matrix.Materials and Methods: In this experimental research, in order to prepare 3D scaffolds, human palatal gingival biopsies were harvested and physically decellularized by freeze-thawing and sodium dodecyl sulfate (SDS. The scaffolds were placed within the rings of blastema tissues obtained from a pinna rabbit, in vitro. We evaluated the presence of glycoconjugatesand cellular behavior according to histological, histochemical and spectrophotometry techniques at one, two and three weeks after culture. One-way analysis of variance (ANOVAcomparedthe groups.Results: Extracellular matrix (ECM remained after decellularization of tissue with 1% SDS. Glycoconjugate contents decreased meaningfully at a higher SDS concentration (p<0.0001. After culture of the ECM scaffold with blastema, we observed increased staining of alcian blue, periodic acid-Schiff (PAS and toluidine blue in the scaffold and a number of other migrant cells which was caused by cell penetrationinto the scaffold. Spectrophotometry results showed an increase in glycosaminoglycans (GAGs of the decellularized scaffolds at three weeks after culture.Conclusion: The present study has shown that a scaffold generated from palatal gingival tissue ECM is a suitable substrate for blastema cell migration and activity.This scaffold maypotentially be useful as a biological scaffold in tissue engineering applications.

  14. Enxerto bovino liofilizado: comportamento histológico após seguimento de 49 meses em seres humanos Bovine lyophilized graft (BLG: histological analysis on behavior in humans after 49 months

    Directory of Open Access Journals (Sweden)

    Carlos Roberto Galia

    2012-01-01

    Full Text Available OBJETIVO: Analisar o comportamento histológico do ELB, produzido conforme protocolo desenvolvido pelo autor principal, em seres humanos no decorrer de 49 meses através da aferição da proporção enxerto/osso neoformado em relação ao total de área mineralizada. MÉTODOS: Série de casos com 12 pacientes, oito femininos (66% e quatro masculinos (34%, totalizando 13 biópsias, nos quais utilizou-se ELB e que posteriormente houve necessidade de reintervenção cirúrgica, no período de 2000 a 2011. As lâminas produzidas, coradas com hematoxilina-eosina (HE, foram analisadas por patologista e digitalizadas para a avaliação proposta. RESULTADOS: A média etária foi de 57 anos e o tempo médio de seguimento de 49 meses (6-115. A proporção média de ELB foi de 42% (13-85 e de osso neoformado de 58% (15-87 em relação ao total de área mineralizada. CONCLUSÕES: O presente estudo demonstra que o ELB utilizado apresenta característica osteocondutora e biocompatibilidade. O ELB apresentado é opção terapêutica a ser utilizada em cirurgias ortopédicas que necessitem preenchimento de deficiências ósseas.OBJECTIVE: To analyze the histological behavior of bovine lyophilized grafts (BLG produced according to a protocol developed by the first author, in humans over a 49-month period by measuring the graft/bone neoformation ratio in relation to the total mineralized area. METHODS: This was a case series involving 12 patients: eight females (66% and four males (34%, totaling 13 biopsies. BLG was used, and surgical reintervention was subsequently required during the period 2000 to 2011. The slides produced were stained with hematoxylin-eosin (HE, were analyzed by a pathologist and were digitized for the proposed evaluation. RESULTS: The mean age was 57 years and the mean follow-up was 49 months (range: 6-115. The average proportion of BLG was 42% range: 13-85 and neoformed bone, 58% (range: 15-87 in relation to the total area mineralized

  15. THE PREREQUISITES OF PROSOCIAL BEHAVIOR IN HUMAN ONTOGENY

    National Research Council Canada - National Science Library

    Irina M. Sozinova; Alexey A. Sozinov; Seppo J. Laukka; Yuri I. Alexandrov

    2017-01-01

    Understanding the development of moral attitudes toward unrelated individuals from different social groups may provide insights into the role of biological and cultural factors in prosocial behavior. Children (3–11 years old, N=80...

  16. Research on automatic human chromosome image analysis

    Science.gov (United States)

    Ming, Delie; Tian, Jinwen; Liu, Jian

    2007-11-01

    Human chromosome karyotyping is one of the essential tasks in cytogenetics, especially in genetic syndrome diagnoses. In this thesis, an automatic procedure is introduced for human chromosome image analysis. According to different status of touching and overlapping chromosomes, several segmentation methods are proposed to achieve the best results. Medial axis is extracted by the middle point algorithm. Chromosome band is enhanced by the algorithm based on multiscale B-spline wavelets, extracted by average gray profile, gradient profile and shape profile, and calculated by the WDD (Weighted Density Distribution) descriptors. The multilayer classifier is used in classification. Experiment results demonstrate that the algorithms perform well.

  17. EXPLORATORY FACTOR ANALYSIS (EFA IN CONSUMER BEHAVIOR AND MARKETING RESEARCH

    Directory of Open Access Journals (Sweden)

    Marcos Pascual Soler

    2012-06-01

    Full Text Available Exploratory Factor Analysis (EFA is one of the most widely used statistical procedures in social research. The main objective of this work is to describe the most common practices used by researchers in the consumer behavior and marketing area. Through a literature review methodology the practices of AFE in five consumer behavior and marketing journals(2000-2010 were analyzed. Then, the choices made by the researchers concerning factor model, retention criteria, rotation, factors interpretation and other relevant issues to factor analysis were analized. The results suggest that researchers routinely conduct analyses using such questionable methods. Suggestions for improving the use of factor analysis and the reporting of results are presented and a checklist (Exploratory Factor Analysis Checklist, EFAC is provided to help editors, reviewers, and authors improve reporting exploratory factor analysis.

  18. 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.

  19. A Conceptual Framework for Representing Human Behavior Characteristics in a System of Systems Agent-Based Survivability Simulation

    Science.gov (United States)

    2010-11-22

    distribution is unlimited. A CONCEPTUAL FRAMEWORK FOR REPRESENTING HUMAN BEHAVIOR CHARACTERISTICS IN A SYSTEM OF SYSTEMS AGENT-BASED SURVIVABILITY...27411 -0001 ABSTRACT A CONCEPTUAL FRAMEWORK FOR REPRESENTING HUMAN BEHAVIOR CHARACTERISTICS IN A SYSTEM OF SYSTEMS AGENT-BASED SURVIVABILITY SIMULATION...TITLE AND SUBTITLE A CONCEPTUAL FRAMEWORK FOR REPRESENTING HUMAN BEHAVIOR CHARACTERISTICS IN A SYSTEM OF SYSTEMS AGENT-BASED SURVIVABILITY

  20. On radicalizing behaviorism: A call for cultural analysis

    Science.gov (United States)

    Malagodi, E. F.

    1986-01-01

    Our culture at large continues many practices that work against the well-being of its members and its chances for survival. Our discipline has failed to realize its potential for contributing to the understanding of these practices and to the generation of solutions. This failure of realization is in part a consequence of the general failure of behavior analysts to view social and cultural analysis as a fundamental component of radical behaviorism. This omission is related to three prevailing practices of our discipline. First, radical behaviorism is characteristically defined as a “philosophy of science,” and its concerns are ordinarily restricted to certain epistemological issues. Second, theoretical extensions to social and cultural phenomena too often depend solely upon principles derived from the analysis of behavior. Third, little attention has been directed at examining the relationships that do, or that should, exist between our discipline and related sciences. These practices themselves are attributed to certain features of the history of our field. Two general remedies for this situation are suggested: first, that radical behaviorism be treated as a comprehensive world view in which epistemological, psychological, and cultural analyses constitute interdependent components; second, that principles derived from compatible social-science disciplines be incorporated into radical behaviorism. PMID:22478643

  1. On radicalizing behaviorism: A call for cultural analysis.

    Science.gov (United States)

    Malagodi, E F

    1986-01-01

    Our culture at large continues many practices that work against the well-being of its members and its chances for survival. Our discipline has failed to realize its potential for contributing to the understanding of these practices and to the generation of solutions. This failure of realization is in part a consequence of the general failure of behavior analysts to view social and cultural analysis as a fundamental component of radical behaviorism. This omission is related to three prevailing practices of our discipline. First, radical behaviorism is characteristically defined as a "philosophy of science," and its concerns are ordinarily restricted to certain epistemological issues. Second, theoretical extensions to social and cultural phenomena too often depend solely upon principles derived from the analysis of behavior. Third, little attention has been directed at examining the relationships that do, or that should, exist between our discipline and related sciences. These practices themselves are attributed to certain features of the history of our field. Two general remedies for this situation are suggested: first, that radical behaviorism be treated as a comprehensive world view in which epistemological, psychological, and cultural analyses constitute interdependent components; second, that principles derived from compatible social-science disciplines be incorporated into radical behaviorism.

  2. Time series clustering analysis of health-promoting behavior

    Science.gov (United States)

    Yang, Chi-Ta; Hung, Yu-Shiang; Deng, Guang-Feng

    2013-10-01

    Health promotion must be emphasized to achieve the World Health Organization goal of health for all. Since the global population is aging rapidly, ComCare elder health-promoting service was developed by the Taiwan Institute for Information Industry in 2011. Based on the Pender health promotion model, ComCare service offers five categories of health-promoting functions to address the everyday needs of seniors: nutrition management, social support, exercise management, health responsibility, stress management. To assess the overall ComCare service and to improve understanding of the health-promoting behavior of elders, this study analyzed health-promoting behavioral data automatically collected by the ComCare monitoring system. In the 30638 session records collected for 249 elders from January, 2012 to March, 2013, behavior patterns were identified by fuzzy c-mean time series clustering algorithm combined with autocorrelation-based representation schemes. The analysis showed that time series data for elder health-promoting behavior can be classified into four different clusters. Each type reveals different health-promoting needs, frequencies, function numbers and behaviors. The data analysis result can assist policymakers, health-care providers, and experts in medicine, public health, nursing and psychology and has been provided to Taiwan National Health Insurance Administration to assess the elder health-promoting behavior.

  3. A Functional Analysis of the Comprehensive Application of Behavior Analysis to Schooling.

    Science.gov (United States)

    Selinske, Jane E.; And Others

    1991-01-01

    Behavior analysis was implemented in a school for 38 children with multiple disabilities, following staff training. Results over two years showed educationally significant increases in trials taught, correct student trials, and objectives achieved. During followup, results indicated maintenance and social validity of the behavior analysis package.…

  4. A mechatronic platform for behavioral analysis on nonhuman primates.

    Science.gov (United States)

    Taffoni, Fabrizio; Vespignani, Massimo; Formica, Domenico; Cavallo, Giuseppe; Di Sorrentino, Eugenia Polizzi; Sabbatini, Gloria; Truppa, Valentina; Mirolli, Marco; Baldassarre, Gianluca; Visalberghi, Elisabetta; Keller, Flavio; Guglielmelli, Eugenio

    2012-03-01

    In this work we present a new mechatronic platform for measuring behavior of nonhuman primates, allowing high reprogrammability and providing several possibilities of interactions. The platform is the result of a multidisciplinary design process, which has involved bio-engineers, developmental neuroscientists, primatologists, and roboticians to identify its main requirements and specifications. Although such a platform has been designed for the behavioral analysis of capuchin monkeys (Cebus apella), it can be used for behavioral studies on other nonhuman primates and children. First, a state-of-the-art principal approach used in nonhuman primate behavioral studies is reported. Second, the main advantages of the mechatronic approach are presented. In this section, the platform is described in all its parts and the possibility to use it for studies on learning mechanism based on intrinsic motivation discussed. Third, a pilot study on capuchin monkeys is provided and preliminary data are presented and discussed.

  5. Shaped and Balanced by Hormones : cortisol, testosterone and the psychoneuroendocrinology of human socio-emotional behavior

    NARCIS (Netherlands)

    Montoya, E.R.

    2015-01-01

    The steroid hormones testosterone and cortisol can be considered hormones for environmental challenges; they are involved in adaptive neural and behavioral responses towards emotional stimuli. A key challenge of human psychoneuroendocrinology is to unravel the neural mechanisms by which testosterone

  6. Tailoring a Human Reliability Analysis to Your Industry Needs

    Science.gov (United States)

    DeMott, D. L.

    2016-01-01

    Companies at risk of accidents caused by human error that result in catastrophic consequences include: airline industry mishaps, medical malpractice, medication mistakes, aerospace failures, major oil spills, transportation mishaps, power production failures and manufacturing facility incidents. Human Reliability Assessment (HRA) is used to analyze the inherent risk of human behavior or actions introducing errors into the operation of a system or process. These assessments can be used to identify where errors are most likely to arise and the potential risks involved if they do occur. Using the basic concepts of HRA, an evolving group of methodologies are used to meet various industry needs. Determining which methodology or combination of techniques will provide a quality human reliability assessment is a key element to developing effective strategies for understanding and dealing with risks caused by human errors. There are a number of concerns and difficulties in "tailoring" a Human Reliability Assessment (HRA) for different industries. Although a variety of HRA methodologies are available to analyze human error events, determining the most appropriate tools to provide the most useful results can depend on industry specific cultures and requirements. Methodology selection may be based on a variety of factors that include: 1) how people act and react in different industries, 2) expectations based on industry standards, 3) factors that influence how the human errors could occur such as tasks, tools, environment, workplace, support, training and procedure, 4) type and availability of data, 5) how the industry views risk & reliability, and 6) types of emergencies, contingencies and routine tasks. Other considerations for methodology selection should be based on what information is needed from the assessment. If the principal concern is determination of the primary risk factors contributing to the potential human error, a more detailed analysis method may be employed

  7. Human adaptive behavior in common pool resource systems.

    Directory of Open Access Journals (Sweden)

    Gunnar Brandt

    Full Text Available Overexploitation of common-pool resources, resulting from uncooperative harvest behavior, is a major problem in many social-ecological systems. Feedbacks between user behavior and resource productivity induce non-linear dynamics in the harvest and the resource stock that complicate the understanding and the prediction of the co-evolutionary system. With an adaptive model constrained by data from a behavioral economic experiment, we show that users' expectations of future pay-offs vary as a result of the previous harvest experience, the time-horizon, and the ability to communicate. In our model, harvest behavior is a trait that adjusts to continuously changing potential returns according to a trade-off between the users' current harvest and the discounted future productivity of the resource. Given a maximum discount factor, which quantifies the users' perception of future pay-offs, the temporal dynamics of harvest behavior and ecological resource can be predicted. Our results reveal a non-linear relation between the previous harvest and current discount rates, which is most sensitive around a reference harvest level. While higher than expected returns resulting from cooperative harvesting in the past increase the importance of future resource productivity and foster sustainability, harvests below the reference level lead to a downward spiral of increasing overexploitation and disappointing returns.

  8. Using Videoconferencing to Conduct Functional Analysis of Challenging Behavior and Develop Classroom Behavioral Support Plans for Students with Autism

    NARCIS (Netherlands)

    Machalicek, W.A.; O'Reilly, M.F.; Chan, J.M.; Lang, R.; Rispoli, M.; Davis, T.; Shogren, K.; Sigafoos, J.; Lancioni, G.E.; Antonuzzi, M.; Langthorne, P.; Andrews, A.; Didden, H.C.M.

    2009-01-01

    We conducted a functional analysis of challenging behavior for two students with autism using widely available videoconferencing equipment (laptop computers equipped with web cameras). Observers used the videoconferencing facilities to collect data on challenging behavior and to instruct the therapi

  9. Bridging Resilience Engineering and Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ronald L. Boring

    2010-06-01

    There has been strong interest in the new and emerging field called resilience engineering. This field has been quick to align itself with many existing safety disciplines, but it has also distanced itself from the field of human reliability analysis. To date, the discussion has been somewhat one-sided, with much discussion about the new insights afforded by resilience engineering. This paper presents an attempt to address resilience engineering from the perspective of human reliability analysis (HRA). It is argued that HRA shares much in common with resilience engineering and that, in fact, it can help strengthen nascent ideas in resilience engineering. This paper seeks to clarify and ultimately refute the arguments that have served to divide HRA and resilience engineering.

  10. The quartic piecewise-linear criterion for the multiaxial yield behavior of human trabecular bone.

    Science.gov (United States)

    Sanyal, Arnav; Scheffelin, Joanna; Keaveny, Tony M

    2015-01-01

    Prior multiaxial strength studies on trabecular bone have either not addressed large variations in bone volume fraction and microarchitecture, or have not addressed the full range of multiaxial stress states. Addressing these limitations, we utilized micro-computed tomography (lCT) based nonlinear finite element analysis to investigate the complete 3D multiaxial failure behavior of ten specimens (5mm cube) of human trabecular bone, taken from three anatomic sites and spanning a wide range of bone volume fraction (0.09–0.36),mechanical anisotropy (range of E3/E1¼3.0–12.0), and microarchitecture. We found that most of the observed variation in multiaxial strength behavior could be accounted for by normalizing the multiaxial strength by specimen-specific values of uniaxial strength (tension,compression in the longitudinal and transverse directions). Scatter between specimens was reduced further when the normalized multiaxial strength was described in strain space.The resulting multiaxial failure envelope in this normalized-strain space had a rectangular boxlike shape for normal–normal loading and either a rhomboidal box like shape or a triangular shape for normal-shear loading, depending on the loading direction. The finite element data were well described by a single quartic yield criterion in the 6D normalized strain space combined with a piecewise linear yield criterion in two planes for normalshear loading (mean error SD: 4.660.8% for the finite element data versus the criterion).This multiaxial yield criterion in normalized-strain space can be used to describe the complete 3D multiaxial failure behavior of human trabecular bone across a wide range of bone volume fraction, mechanical anisotropy, and microarchitecture.

  11. 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.

  12. A Human Motor Behavior Model for Direct Pointing at a Distance

    OpenAIRE

    Kopper, Regis; Bowman,Doug A.; Silva, Mara G.

    2008-01-01

    Models of human motor behavior are well known as an aid in the design of user interfaces (UIs). Most current models apply primarily to desktop interaction, but with the development of non-desktop UIs, new types of motor behaviors need to be modeled. Direct Pointing at a Distance is such a motor behavior. A model of direct pointing at a distance would be particularly useful in the comparison of different interaction techniques, because the performance of such techniques is highly dependent on ...

  13. Drinking behavior in nursery pigs: Determining the accuracy between an automatic water meter versus human observers

    Science.gov (United States)

    Assimilating accurate behavioral events over a long period can be labor intensive and relatively expensive. If an automatic device could accurately record the duration and frequency for a given behavioral event, it would be a valuable alternative to the traditional use of human observers for behavio...

  14. Women in STEM and Human Information Behavior: Implications for LIS Educators

    Science.gov (United States)

    Davis, Rebecca

    2014-01-01

    This paper reports preliminary data from research that seeks to inform the readers about the way that human information behavior and the use of scholarly resources impacts on women in the STEM fields. By focusing on the information behavior and information needs of women in STEM, this could lead to an increased use of academic library resources…

  15. Knowledge, Attitudes, and Informational Behaviors of College Students in Regard to the Human Papillomavirus

    Science.gov (United States)

    Sandfort, Jessica R.; Pleasant, Andrew

    2009-01-01

    Objective: To assess students' human papillomavirus (HPV) knowledge, attitudes, and behaviors. Participants/ Methods: Students (N = 1,282) at a large, public university in the Northeast United States completed a questionnaire during February 2008 assessing HPV knowledge, prevalence, transmission, cervical cancer risk and stigma; sexual behavior,…

  16. Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes-Open source development.

    Science.gov (United States)

    Poh, Abdul Halim; Moghavvemi, Mahmoud; Leong, Cherng Shii; Lau, Yee Ling; Safdari Ghandari, Alireza; Apau, Alexlee; Mahamd Adikan, Faisal Rafiq

    2017-01-01

    Classifying and quantifying mosquito activity includes a plethora of categories, ranging from measuring flight speeds, repellency, feeding rates, and specific behaviors such as home entry, swooping and resting, among others. Entomologists have been progressing more toward using machine vision for efficiency for this endeavor. Digital methods have been used to study the behavior of insects in labs, for instance via three-dimensional tracking with specialized cameras to observe the reaction of mosquitoes towards human odor, heat and CO2, although virtually none was reported for several important fields, such as repellency studies which have a significant need for a proper response quantification. However, tracking mosquitoes individually is a challenge and only limited number of specimens can be studied. Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. The method proposed contributes towards (a) unlimited open source use, (b) a low-cost setup, (c) complete guide for any entomologist to adapt in terms of hardware and software, (d) simple to use, and (e) a lightweight data output for collective behavior analysis of mosquitoes. The setup is demonstrated by testing a simple response of mosquitoes in the presence of human odor versus control, one session with continuous human presence as a stimuli and the other with periodic presence. A group of female Aedes aegypti (Linnaeus) mosquitoes are released into a white-background chamber with a transparent acrylic panel on one side. The video feed of the mosquitoes are processed using filtered contours in a threshold-adjustable video. The mosquitoes in the chamber are mapped on the raster where the coordinates of each mosquito are recorded with the corresponding timestamp. The average

  17. Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes—Open source development

    Science.gov (United States)

    Leong, Cherng Shii; Lau, Yee Ling; Safdari Ghandari, Alireza; Apau, Alexlee; Mahamd Adikan, Faisal Rafiq

    2017-01-01

    Classifying and quantifying mosquito activity includes a plethora of categories, ranging from measuring flight speeds, repellency, feeding rates, and specific behaviors such as home entry, swooping and resting, among others. Entomologists have been progressing more toward using machine vision for efficiency for this endeavor. Digital methods have been used to study the behavior of insects in labs, for instance via three-dimensional tracking with specialized cameras to observe the reaction of mosquitoes towards human odor, heat and CO2, although virtually none was reported for several important fields, such as repellency studies which have a significant need for a proper response quantification. However, tracking mosquitoes individually is a challenge and only limited number of specimens can be studied. Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. The method proposed contributes towards (a) unlimited open source use, (b) a low-cost setup, (c) complete guide for any entomologist to adapt in terms of hardware and software, (d) simple to use, and (e) a lightweight data output for collective behavior analysis of mosquitoes. The setup is demonstrated by testing a simple response of mosquitoes in the presence of human odor versus control, one session with continuous human presence as a stimuli and the other with periodic presence. A group of female Aedes aegypti (Linnaeus) mosquitoes are released into a white-background chamber with a transparent acrylic panel on one side. The video feed of the mosquitoes are processed using filtered contours in a threshold-adjustable video. The mosquitoes in the chamber are mapped on the raster where the coordinates of each mosquito are recorded with the corresponding timestamp. The average

  18. Functional Analysis and Treatment of Inappropriate Sexual Behavior.

    Science.gov (United States)

    Fyffe, Christie E.; Kahng, SungWoo; Fittro, Ellen; Russell, David

    2004-01-01

    The results of a functional analysis showed that inappropriate sexual behaviors exhibited by a 9-year-old boy who had been diagnosed with traumatic brain injury were maintained by positive reinforcement in the form of social attention. An intervention consisting of functional communication training and extinction resulted in reduced levels of…

  19. Cognitive Behavioral Analysis System of Psychotherapy for Chronic Depression

    Science.gov (United States)

    Arnow, Bruce A.

    2005-01-01

    Cognitive Behavioral Analysis System of Psychotherapy (CBASP) was developed specifically for the chronically depressed patient. CBASP has been shown to be as efficacious as medication singly, and in combination with antidepressant medication is associated with notably high response rates in chronic depression. CBASP's core procedure, "situational…

  20. Applying Skinner's Analysis of Verbal Behavior to Persons with Dementia

    Science.gov (United States)

    Dixon, Mark; Baker, Jonathan C.; Sadowski, Katherine Ann

    2011-01-01

    Skinner's 1957 analysis of verbal behavior has demonstrated a fair amount of utility to teach language to children with autism and other various disorders. However, the learning of language can be forgotten, as is the case for many elderly suffering from dementia or other degenerative diseases. It appears possible that Skinner's operants may…

  1. Classwide Functional Analysis and Treatment of Preschoolers' Disruptive Behavior

    Science.gov (United States)

    Poole, Veena Y.; Dufrene, Brad A.; Sterling, Heather E.; Tingstrom, Daniel H.; Hardy, Christina M.

    2012-01-01

    Relatively few functional assessment and intervention studies have been conducted in preschool classrooms with children of typical development who engage in high incidence problem behaviors. Moreover, limited studies have used functional assessment procedures with the class as the unit of analysis. This study included functional analyses and a…

  2. Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior.

    Science.gov (United States)

    Thanos, Panayotis K; Restif, Christophe; O'Rourke, Joseph R; Lam, Chiu Yin; Metaxas, Dimitris

    2017-01-01

    Rodents are the most commonly used preclinical model of human disease assessing the mechanism(s) involved as well as the role of genetics, epigenetics, and pharmacotherapy on this disease as well as identifying vulnerability factors and risk assessment for disease critical in the development of improved treatment strategies. Unfortunately, the majority of rodent preclinical studies utilize single housed approaches where animals are either entirely housed and tested in solitary environments or group housed but tested in solitary environments. This approach, however, ignores the important contribution of social interaction and social behavior. Social interaction in rodents is found to be a major criterion for the ethological validity of rodent species-specific behavioral characteristics (Zurn et al. 2007; Analysis 2011). It is also well established that there is significant and growing number of reports, which illustrates the important role of social environment and social interaction in all diseases, with particularly significance in all neuropsychiatric diseases. Thus, it is imperative that research studies be able to add large-scale evaluations of social interaction and behavior in mice and benefit from automated tracking of behaviors and measurements by removing user bias and by quantifying aspects of behaviors that cannot be assessed by a human observer. Single mouse setups have been used routinely, but cannot be easily extended to multiple-animal studies where social behavior is key, e.g., autism, depression, anxiety, substance and non-substance addictive disorders, aggression, sexual behavior, or parenting. While recent efforts are focusing on multiple-animal tracking alone, a significant limitation remains the lack of insightful measures of social interactions. We present a novel, non-invasive single camera-based automated tracking method described as Mouse Social Test (MoST) and set of measures designed for estimating the interactions of multiple mice at the

  3. Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework.

    Science.gov (United States)

    Xiao, Bo; Imel, Zac E; Georgiou, Panayiotis; Atkins, David C; Narayanan, Shrikanth S

    2016-05-01

    Empathy is an important psychological process that facilitates human communication and interaction. Enhancement of empathy has profound significance in a range of applications. In this paper, we review emerging directions of research on computational analysis of empathy expression and perception as well as empathic interactions, including their simulation. We summarize the work on empathic expression analysis by the targeted signal modalities (e.g., text, audio, and facial expressions). We categorize empathy simulation studies into theory-based emotion space modeling or application-driven user and context modeling. We summarize challenges in computational study of empathy including conceptual framing and understanding of empathy, data availability, appropriate use and validation of machine learning techniques, and behavior signal processing. Finally, we propose a unified view of empathy computation and offer a series of open problems for future research.

  4. Estimating the postmortem interval of human skeletal remains by analyzing their optical behavior.

    Science.gov (United States)

    Sterzik, V; Jung, T; Jellinghaus, K; Bohnert, M

    2016-11-01

    The aim of this study was to figure out a new practically applicable method to distinguish between historical and recent human skeletal remains. Therefore, the optical behavior of bone cross sections was investigated using the combination of two methods: a modification of an already established test (UV-induced fluorescence) and a new method (490 nm-induced fluorescence). We evaluated the areal extent of fluorescence of 30 bone cross sections with known postmortem interval (PMI) using ultraviolet light and 490 nm light. For analysis, the areal extend of fluorescent surface was determined using photos of the samples and an image editing software. The results prove that there is a correlation between PMI and the areal extent of fluorescent surface in both tests. Furthermore, the combination of both methods is a good indicator to distinguish within the forensic relevant post mortem interval between PMI  30 years.

  5. 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.

  6. Psychopharmacology of male rat sexual behavior: modeling human sexual dysfunctions?

    NARCIS (Netherlands)

    Olivier, B.; Chan, J.S.; Pattij, T.; Jong, T.R. de; Oosting, R.S.; Veening, J.G.; Waldinger, M.D.

    2006-01-01

    Most of our current understanding of the neurobiology, neuroanatomy and psychopharmacology of sexual behavior and ejaculatory function has been derived from preclinical studies in the rat. When a large population of male rats is tested on sexual activity during a number of successive tests, over tim

  7. 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)

  8. Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.

    Science.gov (United States)

    Oguz, S O; Kucukyilmaz, A; Sezgin, Tevfik Metin; Basdogan, C

    2012-01-01

    An active research goal for human-computer interaction is to allow humans to communicate with computers in an intuitive and natural fashion, especially in real-life interaction scenarios. One approach that has been advocated to achieve this has been to build computer systems with human-like qualities and capabilities. In this paper, we present insight on how human-computer interaction can be enriched by employing the computers with behavioral patterns that naturally appear in human-human negotiation scenarios. For this purpose, we introduce a two-party negotiation game specifically built for studying the effectiveness of haptic and audio-visual cues in conveying negotiation related behaviors. The game is centered around a real-time continuous two-party negotiation scenario based on the existing game-theory and negotiation literature. During the game, humans are confronted with a computer opponent, which can display different behaviors, such as concession, competition, and negotiation. Through a user study, we show that the behaviors that are associated with human negotiation can be incorporated into human-computer interaction, and the addition of haptic cues provides a statistically significant increase in the human-recognition accuracy of machine-displayed behaviors. In addition to aspects of conveying these negotiation-related behaviors, we also focus on and report game-theoretical aspects of the overall interaction experience. In particular, we show that, as reported in the game-theory literature, certain negotiation strategies such as tit-for-tat may generate maximum combined utility for the negotiating parties, providing an excellent balance between the energy spent by the user and the combined utility of the negotiating parties.

  9. Social Learning Theory and Behavioral Therapy: Considering Human Behaviors within the Social and Cultural Context of Individuals and Families.

    Science.gov (United States)

    McCullough Chavis, Annie

    2011-01-01

    This article examines theoretical thoughts of social learning theory and behavioral therapy and their influences on human behavior within a social and cultural context. The article utilizes two case illustrations with applications for consumers. It points out the abundance of research studies concerning the effectiveness of social learning theory, and the paucity of research studies regarding effectiveness and evidence-based practices with diverse groups. Providing a social and cultural context in working with diverse groups with reference to social learning theory adds to the literature for more cultural considerations in adapting the theory to women, African Americans, and diverse groups.

  10. Visual exploration and analysis of human-robot interaction rules

    Science.gov (United States)

    Zhang, Hui; Boyles, Michael J.

    2013-01-01

    We present a novel interaction paradigm for the visual exploration, manipulation and analysis of human-robot interaction (HRI) rules; our development is implemented using a visual programming interface and exploits key techniques drawn from both information visualization and visual data mining to facilitate the interaction design and knowledge discovery process. HRI is often concerned with manipulations of multi-modal signals, events, and commands that form various kinds of interaction rules. Depicting, manipulating and sharing such design-level information is a compelling challenge. Furthermore, the closed loop between HRI programming and knowledge discovery from empirical data is a relatively long cycle. This, in turn, makes design-level verification nearly impossible to perform in an earlier phase. In our work, we exploit a drag-and-drop user interface and visual languages to support depicting responsive behaviors from social participants when they interact with their partners. For our principal test case of gaze-contingent HRI interfaces, this permits us to program and debug the robots' responsive behaviors through a graphical data-flow chart editor. We exploit additional program manipulation interfaces to provide still further improvement to our programming experience: by simulating the interaction dynamics between a human and a robot behavior model, we allow the researchers to generate, trace and study the perception-action dynamics with a social interaction simulation to verify and refine their designs. Finally, we extend our visual manipulation environment with a visual data-mining tool that allows the user to investigate interesting phenomena such as joint attention and sequential behavioral patterns from multiple multi-modal data streams. We have created instances of HRI interfaces to evaluate and refine our development paradigm. As far as we are aware, this paper reports the first program manipulation paradigm that integrates visual programming

  11. Predicting personality traits related to consumer behavior using SNS analysis

    Science.gov (United States)

    Baik, Jongbum; Lee, Kangbok; Lee, Soowon; Kim, Yongbum; Choi, Jayoung

    2016-07-01

    Modeling a user profile is one of the important factors for devising a personalized recommendation. The traditional approach for modeling a user profile in computer science is to collect and generalize the user's buying behavior or preference history, generated from the user's interactions with recommender systems. According to consumer behavior research, however, internal factors such as personality traits influence a consumer's buying behavior. Existing studies have tried to adapt the Big 5 personality traits to personalized recommendations. However, although studies have shown that these traits can be useful to some extent for personalized recommendation, the causal relationship between the Big 5 personality traits and the buying behaviors of actual consumers has not been validated. In this paper, we propose a novel method for predicting the four personality traits-Extroversion, Public Self-consciousness, Desire for Uniqueness, and Self-esteem-that correlate with buying behaviors. The proposed method automatically constructs a user-personality-traits prediction model for each user by analyzing the user behavior on a social networking service. The experimental results from an analysis of the collected Facebook data show that the proposed method can predict user-personality traits with greater precision than methods that use the variables proposed in previous studies.

  12. A Mixture IRT Analysis of Risky Youth Behavior

    Directory of Open Access Journals (Sweden)

    Holmes eFinch

    2011-05-01

    Full Text Available The study reported in this manuscript used a mixture item response model with data from the Youth Risk Behavior Survey 2009 (N = 16,410 to identify subtypes of adolescents at-risk for engaging in unhealthy behaviors, and to find individual survey items that were most effective at identifying such students within each subtype. The goal of the manuscript is twofold: 1 To demonstrate the utility of the mixture item response theory model for identifying subgroups in the population and for highlighting the use of group specific item response parameters and 2 To identify typologies of adolescents based on their propensity for engaging in sexually and substance use risky behaviors. Results indicate that 4 classes of youth exist in the population, with differences in risky sexual behaviors and substance use. The first group had a greater propensity to engage in risky sexual behavior, while group 2 was more likely to smoke tobacco and drink alcohol. Group 3 was the most likely to use other substances, such as marijuana, methamphetamine, and other mind altering drugs, and group 4 had the lowest propensity for engaging in any of the sexual or substance use behaviors included in the survey. Finally, individual items were identified for each group that can be most effective at identifying individuals at greatest risk. Further proposed directions of research and the contribution of this analysis to the existing literature are discussed.

  13. Behavior generation for interpersonal coordination with virtual humans : on specifying, scheduling and realizing multimodal virtual human behavior

    NARCIS (Netherlands)

    Welbergen, van Herwin

    2011-01-01

    Interactive virtual humans, are used in many educational and entertain- ment settings. They have become very complex pieces of software. Building a state-of-the-art virtual human entails re-implementing several pieces of ex- isting work. The SAIBA initiative (consisting of several leading researcher

  14. Behavioral Analysis of Dopaminergic Activation in Zebrafish and Rats Reveals Similar Phenotypes.

    Science.gov (United States)

    Ek, Fredrik; Malo, Marcus; Åberg Andersson, Madelene; Wedding, Christoffer; Kronborg, Joel; Svensson, Peder; Waters, Susanna; Petersson, Per; Olsson, Roger

    2016-05-18

    Zebrafish is emerging as a complement to mammals in behavioral studies; however, there is a lack of comparative studies with rodents and humans to establish the zebrafish as a predictive translational model. Here we present a detailed phenotype evaluation of zebrafish larvae, measuring 300-3000 variables and analyzing them using multivariate analysis to identify the most important ones for further evaluations. The dopamine agonist apomorphine has previously been shown to have a complex U-shaped dose-response relationship in the variable distance traveled. In this study, we focused on breaking down distance traveled into more detailed behavioral phenotypes for both zebrafish and rats and identified in the multivariate analysis low and high dose phenotypes with characteristic behavioral features. Further analysis of single parameters also identified an increased activity at the lowest concentration indicative of a U-shaped dose-response. Apomorphine increased the distance of each swim movement (bout) at both high and low doses, but the underlying behavior of this increase is different; at high dose, both bout duration and frequency increased whereas bout max speed was higher at low dose. Larvae also displayed differences in place preference. The low dose phenotype spent more time in the center, indicative of an anxiolytic effect, while the high-dose phenotype had a wall preference. These dose-dependent effects corroborated findings in a parallel rat study and previous observations in humans. The translational value of pharmacological zebrafish studies was further evaluated by comparing the amino acid sequence of the dopamine receptors (D1-D4), between zebrafish, rats and humans. Humans and zebrafish share 100% of the amino acids in the binding site for D1 and D3 whereas D2 and D4 receptors share 85-95%. Molecular modeling of dopamine D2 and D4 receptors indicated that nonconserved amino acids have limited influence on important ligand-receptor interactions.

  15. Bullying and suicidal ideation and behaviors: a meta-analysis.

    Science.gov (United States)

    Holt, Melissa K; Vivolo-Kantor, Alana M; Polanin, Joshua R; Holland, Kristin M; DeGue, Sarah; Matjasko, Jennifer L; Wolfe, Misty; Reid, Gerald

    2015-02-01

    Over the last decade there has been increased attention to the association between bullying involvement (as a victim, perpetrator, or bully-victim) and suicidal ideation/behaviors. We conducted a meta-analysis to estimate the association between bullying involvement and suicidal ideation and behaviors. We searched multiple online databases and reviewed reference sections of articles derived from searches to identify cross-sectional studies published through July 2013. Using search terms associated with bullying, suicide, and youth, 47 studies (38.3% from the United States, 61.7% in non-US samples) met inclusion criteria. Seven observers independently coded studies and met in pairs to reach consensus. Six different meta-analyses were conducted by using 3 predictors (bullying victimization, bullying perpetration, and bully/victim status) and 2 outcomes (suicidal ideation and suicidal behaviors). A total of 280 effect sizes were extracted and multilevel, random effects meta-analyses were performed. Results indicated that each of the predictors were associated with risk for suicidal ideation and behavior (range, 2.12 [95% confidence interval (CI), 1.67-2.69] to 4.02 [95% CI, 2.39-6.76]). Significant heterogeneity remained across each analysis. The bullying perpetration and suicidal behavior effect sizes were moderated by the study's country of origin; the bully/victim status and suicidal ideation results were moderated by bullying assessment method. Findings demonstrated that involvement in bullying in any capacity is associated with suicidal ideation and behavior. Future research should address mental health implications of bullying involvement to prevent suicidal ideation/behavior. Copyright © 2015 by the American Academy of Pediatrics.

  16. A Change Impact Analysis to Characterize Evolving Program Behaviors

    Science.gov (United States)

    Rungta, Neha Shyam; Person, Suzette; Branchaud, Joshua

    2012-01-01

    Change impact analysis techniques estimate the potential effects of changes made to software. Directed Incremental Symbolic Execution (DiSE) is an intraprocedural technique for characterizing the impact of software changes on program behaviors. DiSE first estimates the impact of the changes on the source code using program slicing techniques, and then uses the impact sets to guide symbolic execution to generate path conditions that characterize impacted program behaviors. DiSE, however, cannot reason about the flow of impact between methods and will fail to generate path conditions for certain impacted program behaviors. In this work, we present iDiSE, an extension to DiSE that performs an interprocedural analysis. iDiSE combines static and dynamic calling context information to efficiently generate impacted program behaviors across calling contexts. Information about impacted program behaviors is useful for testing, verification, and debugging of evolving programs. We present a case-study of our implementation of the iDiSE algorithm to demonstrate its efficiency at computing impacted program behaviors. Traditional notions of coverage are insufficient for characterizing the testing efforts used to validate evolving program behaviors because they do not take into account the impact of changes to the code. In this work we present novel definitions of impacted coverage metrics that are useful for evaluating the testing effort required to test evolving programs. We then describe how the notions of impacted coverage can be used to configure techniques such as DiSE and iDiSE in order to support regression testing related tasks. We also discuss how DiSE and iDiSE can be configured for debugging finding the root cause of errors introduced by changes made to the code. In our empirical evaluation we demonstrate that the configurations of DiSE and iDiSE can be used to support various software maintenance tasks

  17. Bullying and Suicidal Ideation and Behaviors: A Meta-Analysis

    Science.gov (United States)

    Holt, Melissa K.; Vivolo-Kantor, Alana M.; Polanin, Joshua R.; Holland, Kristin M.; DeGue, Sarah; Matjasko, Jennifer L.; Wolfe, Misty; Reid, Gerald

    2015-01-01

    BACKGROUND AND OBJECTIVES Over the last decade there has been increased attention to the association between bullying involvement (as a victim, perpetrator, or bully-victim) and suicidal ideation/behaviors. We conducted a meta-analysis to estimate the association between bullying involvement and suicidal ideation and behaviors. METHODS We searched multiple online databases and reviewed reference sections of articles derived from searches to identify cross-sectional studies published through July 2013. Using search terms associated with bullying, suicide, and youth, 47 studies (38.3% from the United States, 61.7% in non-US samples) met inclusion criteria. Seven observers independently coded studies and met in pairs to reach consensus. RESULTS Six different meta-analyses were conducted by using 3 predictors (bullying victimization, bullying perpetration, and bully/victim status) and 2 outcomes (suicidal ideation and suicidal behaviors). A total of 280 effect sizes were extracted and multilevel, random effects meta-analyses were performed. Results indicated that each of the predictors were associated with risk for suicidal ideation and behavior (range, 2.12 [95% confidence interval (CI), 1.67–2.69] to 4.02 [95% CI, 2.39–6.76]). Significant heterogeneity remained across each analysis. The bullying perpetration and suicidal behavior effect sizes were moderated by the study’s country of origin; the bully/victim status and suicidal ideation results were moderated by bullying assessment method. CONCLUSIONS Findings demonstrated that involvement in bullying in any capacity is associated with suicidal ideation and behavior. Future research should address mental health implications of bullying involvement to prevent suicidal ideation/behavior. PMID:25560447

  18. Specifying the neurobiological basis of human attachment: brain, hormones, and behavior in synchronous and intrusive mothers.

    Science.gov (United States)

    Atzil, Shir; Hendler, Talma; Feldman, Ruth

    2011-12-01

    The mother-infant bond provides the foundation for the infant's future mental health and adaptation and depends on the provision of species-typical maternal behaviors that are supported by neuroendocrine and motivation-affective neural systems. Animal research has demonstrated that natural variations in patterns of maternal care chart discrete profiles of maternal brain-behavior relationships that uniquely shape the infant's lifetime capacities for stress regulation and social affiliation. Such patterns of maternal care are mediated by the neuropeptide Oxytocin and by stress- and reward-related neural systems. Human studies have similarly shown that maternal synchrony--the coordination of maternal behavior with infant signals--and intrusiveness--the excessive expression of maternal behavior--describe distinct and stable maternal styles that bear long-term consequences for infant well-being. To integrate brain, hormones, and behavior in the study of maternal-infant bonding, we examined the fMRI responses of synchronous vs intrusive mothers to dynamic, ecologically valid infant videos and their correlations with plasma Oxytocin. In all, 23 mothers were videotaped at home interacting with their infants and plasma OT assayed. Sessions were micro-coded for synchrony and intrusiveness. Mothers were scanned while observing several own and standard infant-related vignettes. Synchronous mothers showed greater activations in the left nucleus accumbens (NAcc) and intrusive mothers exhibited higher activations in the right amygdala. Functional connectivity analysis revealed that among synchronous mothers, left NAcc and right amygdala were functionally correlated with emotion modulation, theory-of-mind, and empathy networks. Among intrusive mothers, left NAcc and right amygdala were functionally correlated with pro-action areas. Sorting points into neighborhood (SPIN) analysis demonstrated that in the synchronous group, left NAcc and right amygdala activations showed clearer

  19. Sociolinguistic and psycholinguistic indications of behavior disorders: analysis of a prisoner's discourse.

    Science.gov (United States)

    Timor, Uri; Weiss, Joshua M

    2008-02-01

    Human verbal language communicates both manifest and latent messages concerning the speaker's world and behavior. To understand his world and analyze his problems,(1) it is important to decode the latent messages as they may hint at the root causes. The authors present a discourse analysis of a prisoner's text and a semantic and morphological analysis of it. This text reflects contempt for the law and its representatives, together with a weak attachment to legitimate society, neutralization of personal responsibility, denial of guilt, and low self-esteem. Sociolinguistic and psycholinguistic analysis points toward a more profound evaluation of the perceptions and world of the speaker. It seems that he yearns for attachment, for understanding and social acceptance, and perhaps even to abandon crime. The prisoner's latent feelings of helplessness and fear of humiliation may help the therapist establish a therapeutic relationship and help him change his perceptions and behavior.

  20. Human Behavior and the Social Environment, Self-Disclosure, and Poetry.

    Science.gov (United States)

    Holliman, Diane Carol

    2001-01-01

    Describes how a social work course requires students to reflect upon their own theories of human development. Reflects upon the author's experiences as a student and teacher of Human Behavior and the Social Environment. Discusses the role of self-disclosure and shares several of her own poems that illustrate her own view of lifespan development…

  1. Integrating Theory, Research, and Practice in Human Performance Technology: Examples from Behavioral, Cognitive, and Constructivist Theories.

    Science.gov (United States)

    Brethower, Dale M.

    2000-01-01

    Considers how to integrate theory, research, and practice in human performance technology. Discusses human learning; market pull versus knowledge push; using inquiry to connect theory, research, and practice; constructivist examples; behavioral and cognitive approaches; and differences in research methodologies. (Contains 13 references.) (LRW)

  2. Integrating Theory, Research, and Practice in Human Performance Technology: Examples from Behavioral, Cognitive, and Constructivist Theories.

    Science.gov (United States)

    Brethower, Dale M.

    2000-01-01

    Considers how to integrate theory, research, and practice in human performance technology. Discusses human learning; market pull versus knowledge push; using inquiry to connect theory, research, and practice; constructivist examples; behavioral and cognitive approaches; and differences in research methodologies. (Contains 13 references.) (LRW)

  3. 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.

  4. Gait Correlation Analysis Based Human Identification

    Directory of Open Access Journals (Sweden)

    Jinyan Chen

    2014-01-01

    Full Text Available Human gait identification aims to identify people by a sequence of walking images. Comparing with fingerprint or iris based identification, the most important advantage of gait identification is that it can be done at a distance. In this paper, silhouette correlation analysis based human identification approach is proposed. By background subtracting algorithm, the moving silhouette figure can be extracted from the walking images sequence. Every pixel in the silhouette has three dimensions: horizontal axis (x, vertical axis (y, and temporal axis (t. By moving every pixel in the silhouette image along these three dimensions, we can get a new silhouette. The correlation result between the original silhouette and the new one can be used as the raw feature of human gait. Discrete Fourier transform is used to extract features from this correlation result. Then, these features are normalized to minimize the affection of noise. Primary component analysis method is used to reduce the features’ dimensions. Experiment based on CASIA database shows that this method has an encouraging recognition performance.

  5. The moderating role of human values in planned behavior

    DEFF Research Database (Denmark)

    Zhou, Y.; Thøgersen, John; Ruan, Y.

    2013-01-01

    and behavioral intentions: the attitude towards buying organic food and perceived behavioral control. Both of these antecedents have a stronger impact on intentions among consumers with strong selftranscendence values than among consumers with weak ones. Research limitations/implications – The study is based......Purpose – This article aims to study the role of personal values as moderators of the antecedents of consumers’ “green” buying intentions in the context of Chinese consumers’ inclination to buy organic food. Design/methodology/approach – Ordinary Chinese consumers (n ¼ 479) were intercepted...... contribute positively to the development of the economy. Originality/value – This article extends the rare literature analyzing Chinese consumers’ inclination to buy organic food. It also extends the understanding of the role of personal values as moderators of antecedents of consumers’ buying intentions...

  6. NASA Human Research Program Behavioral Health and Performance Element (BHP)

    Science.gov (United States)

    Whitmire, Sandra; Faulk, Jeremy; Leveton, Lauren

    2010-01-01

    The goal of NASA BHP is to identify, characterize, and prevent or reduce behavioral health and performance risks associated with space travel, exploration, and return to terrestrial life. The NASA Behavioral Health and Performance Operations Group (BHP Ops) supports astronauts and their families before, during, and after a long-duration mission (LDM) on the ISS. BHP Ops provides ISS crews with services such as preflight training (e.g., psychological factors of LDM, psychological support, cross-cultural); preflight, in-flight, and postflight support services, including counseling for astronauts and their families; and psychological support such as regular care packages and a voice-over IP phone system between crew members and their families to facilitate real-time one-on-one communication.

  7. Scavenging behavior of Lynx rufus on human remains during the winter months of Southeast Texas.

    Science.gov (United States)

    Rippley, Angela; Larison, Nicole C; Moss, Kathryn E; Kelly, Jeffrey D; Bytheway, Joan A

    2012-05-01

    Animal-scavenging alterations on human remains can be mistaken as human criminal activity. A 32-day study, documenting animal scavenging on a human cadaver, was conducted at the Southeast Texas Applied Forensic Science facility, Sam Houston State University, Huntsville, Texas. A Stealth Cam Rogue IR was positioned near the cadaver to capture scavenging activity. An atypical scavenger, the bobcat, Lynx rufus, was recorded feeding on the cadaver. Scavenging by bobcats on human remains is not a predominant behavior and has minimal documentation. Scavenging behaviors and destruction of body tissues were analyzed. Results show that the bobcat did not feed on areas of the body that it does for other large animal carcasses. Results also show the bobcat feeds similarly during peak and nonpeak hours. Understanding the destruction of human tissue and covering of the body with leaf debris may aid forensic anthropologists and pathologists in differentiating between nefarious human activity and animal scavenging. © 2012 American Academy of Forensic Sciences.

  8. Modeling human decision making behavior in supervisory control

    Science.gov (United States)

    Tulga, M. K.; Sheridan, T. B.

    1977-01-01

    An optimal decision control model was developed, which is based primarily on a dynamic programming algorithm which looks at all the available task possibilities, charts an optimal trajectory, and commits itself to do the first step (i.e., follow the optimal trajectory during the next time period), and then iterates the calculation. A Bayesian estimator was included which estimates the tasks which might occur in the immediate future and provides this information to the dynamic programming routine. Preliminary trials comparing the human subject's performance to that of the optimal model show a great similarity, but indicate that the human skips certain movements which require quick change in strategy.

  9. The double power law in human collaboration behavior: The case of Wikipedia

    Science.gov (United States)

    Kwon, Okyu; Son, Woo-Sik; Jung, Woo-Sung

    2016-11-01

    We study human behavior in terms of the inter-event time distribution of revision behavior on Wikipedia, an online collaborative encyclopedia. We observe a double power law distribution for the inter-editing behavior at the population level and a single power law distribution at the individual level. Although interactions between users are indirect or moderate on Wikipedia, we determine that the synchronized editing behavior among users plays a key role in determining the slope of the tail of the double power law distribution.

  10. Comparison of human face matching behavior and computational image similarity measure

    Institute of Scientific and Technical Information of China (English)

    CHEN WenFeng; LIU ChangHong; LANDER Karen; FU XiaoLan

    2009-01-01

    Computational similarity measures have been evaluated in a variety of ways, but few of the validated computational measures are based on a high-level, cognitive criterion of objective similarity. In this paper, we evaluate two popular objective similarity measures by comparing them with face matching performance In human observers. The results suggest that these measures are still limited in predicting human behavior, especially In rejection behavior, but objective measure taking advantage of global and local face characteristics may improve the prediction. It is also suggested that human may set different criterions for "hit" and "rejection" and this may provide implications for biologically-inspired computational systems.

  11. Thermal behavior of human eye in relation with change in blood perfusion, porosity, evaporation and ambient temperature.

    Science.gov (United States)

    Rafiq, Aasma; Khanday, M A

    2016-12-01

    Extreme environmental and physiological conditions present challenges for thermal processes in body tissues including multi-layered human eye. A mathematical model has been formulated in this direction to study the thermal behavior of the human eye in relation with the change in blood perfusion, porosity, evaporation and environmental temperatures. In this study, a comprehensive thermal analysis has been performed on the multi-layered eye using Pennes' bio-heat equation with appropriate boundary and interface conditions. The variational finite element method and MATLAB software were used for the solution purpose and simulation of the results. The thermoregulatory effect due to blood perfusion rate, porosity, ambient temperature and evaporation at various regions of human eye was illustrated mathematically and graphically. The main applications of this model are associated with the medical sciences while performing laser therapy and other thermoregulatory investigation on human eye.

  12. Sexual Risk Behaviors Constructed in Iranian Women's Life with Substance Use Disorders: A New Implication of Human Ecological Theory.

    Science.gov (United States)

    Jamshidimanesh, Mansoureh; Mousavi, Seyed Abbas; Merghati-Khoei, Effat; Emamian, Mohammad Hassan; Keramat, Afsaneh

    2016-07-01

    Drug abuse is one of the important variables influencing protective sexual behavior. The objective of this study was to explore how risky sexual behaviors develop in drug abusing women using human ecological theory. In this study, we used a descriptive exploratory approach. The participants were 32 drug abusing women from two of the selected drop-in centers (DICs) in south Tehran, Iran, where we could have access to a vast number of female drug users. Data was collected using semi-structured face-to-face interviews. Qualitative content analysis was used to analyze the data using Graneheim and Lundman procedure. Risky sexual behavior in drug use disorders in women was found in four themes with thirteen emerged; sexual untaught at micro-system with two subthemes "unsafe home" and "drop out of school", Perception of differences at meso-system with three subthemes "lack of link between family and school", "doing manly behavior" and "low awareness of health puberty than peers", inappropriate marriages at exo-system with three subthemes "stigma", "fear of losing love relationship" and "self-devotion", marginalization at macro-system with four subthemes "barrier access to rights", "selling sex as a tool of security", "lack of belief as a sex worker" and "mistrust and doubt partner" using implication of human ecological theory. Findings suggest that strategies supporting the discovery of risky sexual behaviors in drug use disorders in women are important in order to provide counseling and education to form their decisions toward safety sex.

  13. Nonlinear Finite Strain Consolidation Analysis with Secondary Consolidation Behavior

    Directory of Open Access Journals (Sweden)

    Jieqing Huang

    2014-01-01

    Full Text Available This paper aims to analyze nonlinear finite strain consolidation with secondary consolidation behavior. On the basis of some assumptions about the secondary consolidation behavior, the continuity equation of pore water in Gibson’s consolidation theory is modified. Taking the nonlinear compressibility and nonlinear permeability of soils into consideration, the governing equation for finite strain consolidation analysis is derived. Based on the experimental data of Hangzhou soft clay samples, the new governing equation is solved with the finite element method. Afterwards, the calculation results of this new method and other two methods are compared. It can be found that Gibson’s method may underestimate the excess pore water pressure during primary consolidation. The new method which takes the secondary consolidation behavior, the nonlinear compressibility, and nonlinear permeability of soils into consideration can precisely estimate the settlement rate and the final settlement of Hangzhou soft clay sample.

  14. Quantitative Analysis of Bloggers Collective Behavior Powered by Emotions

    CERN Document Server

    Mitrović, Marija; Tadić, Bosiljka

    2010-01-01

    Large-scale data resulting from users online interactions provide the ultimate source of information to study emergent social phenomena on the Web. From individual actions of users to observable collective behaviors, different mechanisms involving emotions expressed in the posted text play a role. Here we combine approaches of statistical physics with machine-learning methods of text analysis to study emergence of the emotional behavior among Web users. Mapping the high-resolution data from digg.com onto bipartite network of users and their comments onto posted stories, we identify user communities centered around certain popular posts and determine emotional contents of the related comments by the emotion-classifier developed for this type of texts. Applied over different time periods, this framework reveals strong correlations between the excess of negative emotions and the evolution of communities. We observe avalanches of emotional comments exhibiting significant self-organized critical behavior and tempo...

  15. INTERVIEW GUIDELINE FOR FUNCTIONAL BEHAVIOR ANALYSIS IN TRANSSEXUAL PERSONS

    Directory of Open Access Journals (Sweden)

    José Miguel Rodríguez Molina

    2013-05-01

    Full Text Available Transsexuality is an emerging phenomenon. There are therefore few psychological assessment tools for it. The purpose of this article is to show the professional clinical psychology and social intervention community a tool that could facilitate this task. We begin with a brief introduction to the phenomenon of transsexuality and psychological assessment in this field, which almost always concentrates on diagnosis or other variables, generally personality (personality traits, depression, anxiety, etc.. Then we approach the main problems found in a transsexual person during the transition. These problems are a potential or real source of psychological conflict. After this we briefly describe behavioral assessment which has been quite forgotten in this area. Finally, we propose a new instrument for this assessment. The main result is the Interview Guideline for Functional Behavior Sequence Analysis (FBSA. We conclude that there is a need for more behavior assessment in this field.

  16. Comparative expression pathway analysis of human and canine mammary tumors

    Directory of Open Access Journals (Sweden)

    Marconato Laura

    2009-03-01

    Full Text Available Abstract Background Spontaneous tumors in dog have been demonstrated to share many features with their human counterparts, including relevant molecular targets, histological appearance, genetics, biological behavior and response to conventional treatments. Mammary tumors in dog therefore provide an attractive alternative to more classical mouse models, such as transgenics or xenografts, where the tumour is artificially induced. To assess the extent to which dog tumors represent clinically significant human phenotypes, we performed the first genome-wide comparative analysis of transcriptional changes occurring in mammary tumors of the two species, with particular focus on the molecular pathways involved. Results We analyzed human and dog gene expression data derived from both tumor and normal mammary samples. By analyzing the expression levels of about ten thousand dog/human orthologous genes we observed a significant overlap of genes deregulated in the mammary tumor samples, as compared to their normal counterparts. Pathway analysis of gene expression data revealed a great degree of similarity in the perturbation of many cancer-related pathways, including the 'PI3K/AKT', 'KRAS', 'PTEN', 'WNT-beta catenin' and 'MAPK cascade'. Moreover, we show that the transcriptional relationships between different gene signatures observed in human breast cancer are largely maintained in the canine model, suggesting a close interspecies similarity in the network of cancer signalling circuitries. Conclusion Our data confirm and further strengthen the value of the canine mammary cancer model and open up new perspectives for the evaluation of novel cancer therapeutics and the development of prognostic and diagnostic biomarkers to be used in clinical studies.

  17. The DNA sequence, annotation and analysis of human chromosome 3

    DEFF Research Database (Denmark)

    Muzny, Donna M; Scherer, Steven E; Kaul, Rajinder

    2006-01-01

    After the completion of a draft human genome sequence, the International Human Genome Sequencing Consortium has proceeded to finish and annotate each of the 24 chromosomes comprising the human genome. Here we describe the sequencing and analysis of human chromosome 3, one of the largest human chr...

  18. Toward a Psychobiological Theory of Motivations for Human Communication Behavior.

    Science.gov (United States)

    Haskins, Jack B.

    Noting that recent research and theory from the expanding field of psychobiology have not been integrated into the study of human communication, this paper offers a synthesis of principles from several leading psychobiological scientists as a step toward a possible unifying approach to communication philosophy, theory, and research. The paper…

  19. Recognition and localization of relevant human behavior in videos

    NARCIS (Netherlands)

    Bouma, H.; Burghouts, G.J.; Penning, L. de; Hanckmann, P.; Hove, R.J.M. ten; Korzec, S.; Kruithof, M.C.; Landsmeer, S.; Leeuwen, C.J. van; Broek, S.P. van den; Halma, A.H.R.; Hollander, R.J.M. den; Schutte, K.

    2013-01-01

    Ground surveillance is normally performed by human assets, since it requires visual intelligence. However, especially for military operations, this can be dangerous and is very resource intensive. Therefore, unmanned autonomous visual-intelligence systems are desired. In this paper, we present an im

  20. Promoting Positive Behavior Using the Good Behavior Game: A Meta-Analysis of Single-Case Research

    Science.gov (United States)

    Bowman-Perrott, Lisa; Burke, Mack D.; Zaini, Samar; Zhang, Nan; Vannest, Kimberly

    2016-01-01

    The Good Behavior Game (GBG) is a classroom management strategy that uses an interdependent group-oriented contingency to promote prosocial behavior and decrease problem behavior. This meta-analysis synthesized single-case research (SCR) on the GBG across 21 studies, representing 1,580 students in pre-kindergarten through Grade 12. The TauU effect…

  1. Comprehensive behavioral analysis of patients with a major depressive episode.

    Science.gov (United States)

    Rothuber, Helfried; Mitterauer, Bernhard

    2011-05-01

    A major depressive episode diagnosed according to DSM-IV criteria can be accompanied by symptoms that DSM-IV does not include. These symptoms are sometimes classified as comorbidities. Our study assessed altered behavioral modes during a major depressive episode; ie, if 1 or more modes of behavior operated less or even not at all ("never"), or if the operation of others was more frequent or even constant ("always"). We hypothesize that these altered behavioral modes, especially the extreme positions "never" (hypomodes) and "always" (hypermodes) might correlate with depression scores and thus represent a typical symptom of depression. We used the 35-item Salzburg Subjective Behavioral Analysis (SSBA) questionnaire to measure altered behavioral modes in 63 depressed patients and 87 non-depressed controls. Depression was assessed using the Hamilton Depression Scale. In our test group (n=63) we found a total of 888 extreme positions. The mean number of extreme positions per patient was 11.15±5.173 (SD). Extreme positions were found in all 35 behavioral modes. The mean Hamilton score was 22.08±7.35 (SD). The association of the incidence of extreme positions and the Hamilton score in our test group was highly significant (Spearman's Rho=0.41; p=.001). In the control group (n=87), only 11 persons were found to display extreme positions, with a total of only 25. Although this study has several limitations, such as the small sample or the use of a questionnaire in the validation procedure, the significant correlation of extreme positions and the Hamilton score indicate that altered modes of behavior as detected with the SSBA might be typical symptoms in a major depressive episode.

  2. Human action analysis with randomized trees

    CERN Document Server

    Yu, Gang; Liu, Zicheng

    2014-01-01

    This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction.

  3. Human factors perspective on the prescribing behavior of recent medical graduates: implications for educators

    Directory of Open Access Journals (Sweden)

    Gordon M

    2013-01-01

    Full Text Available Morris Gordon,1,2 Ken Catchpole,3 Paul Baker1,41Faculty of Health and Social Care, University of Salford, Salford, UK; 2Department of Paediatrics, Fairfield General Hospital, Bury, UK; 3Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 4North Western Deanery, Manchester, UKBackground: Junior doctors are at high risk of involvement in medication errors. Educational interventions to enhance human factors and specifically nontechnical skills in health care are increasingly reported, but there is no work in the context of prescribing improvement to guide such education. We set out to determine the elements that influence prescribing from a human factors perspective by recent medical graduates and use this to guide education in this area.Methods: A total of 206 recent medical graduates of the North Western Foundation School were asked to describe their views on safety practices and behaviors. Free text data regarding prescribing behaviors were collected 1, 2, and 4 months after starting their posts. A 94.1% response rate was achieved. Qualitative analysis of data was completed using the constant comparison method. Five initial categories were developed, and the researchers subsequently developed thematic indices according to their understanding of the emerging content of the data. Further data were collected through group interviews 8–9 months into the placement to ensure thematic saturation.Results: Six themes were established at the axial coding level, ie, contributors to inappropriate prescribing, contributors to appropriate prescribing, professional responsibility, prescribing error, current practices, and methods for improvement of prescribing. Utilizing appropriate theoretical elements, we describe how recent medical graduates employ situational and error awareness to guide risk assessment.Conclusion: We have modeled the human factors of prescribing behavior by recent medical graduates. As these factors are related to

  4. Biological risk factors for suicidal behaviors: a meta-analysis.

    Science.gov (United States)

    Chang, B P; Franklin, J C; Ribeiro, J D; Fox, K R; Bentley, K H; Kleiman, E M; Nock, M K

    2016-09-13

    Prior studies have proposed a wide range of potential biological risk factors for future suicidal behaviors. Although strong evidence exists for biological correlates of suicidal behaviors, it remains unclear if these correlates are also risk factors for suicidal behaviors. We performed a meta-analysis to integrate the existing literature on biological risk factors for suicidal behaviors and to determine their statistical significance. We conducted a systematic search of PubMed, PsycInfo and Google Scholar for studies that used a biological factor to predict either suicide attempt or death by suicide. Inclusion criteria included studies with at least one longitudinal analysis using a biological factor to predict either of these outcomes in any population through 2015. From an initial screen of 2541 studies we identified 94 cases. Random effects models were used for both meta-analyses and meta-regression. The combined effect of biological factors produced statistically significant but relatively weak prediction of suicide attempts (weighted mean odds ratio (wOR)=1.41; CI: 1.09-1.81) and suicide death (wOR=1.28; CI: 1.13-1.45). After accounting for publication bias, prediction was nonsignificant for both suicide attempts and suicide death. Only two factors remained significant after accounting for publication bias-cytokines (wOR=2.87; CI: 1.40-5.93) and low levels of fish oil nutrients (wOR=1.09; CI: 1.01-1.19). Our meta-analysis revealed that currently known biological factors are weak predictors of future suicidal behaviors. This conclusion should be interpreted within the context of the limitations of the existing literature, including long follow-up intervals and a lack of tests of interactions with other risk factors. Future studies addressing these limitations may more effectively test for potential biological risk factors.

  5. 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.

  6. Evacuee Compliance Behavior Analysis using High Resolution Demographic Information

    Energy Technology Data Exchange (ETDEWEB)

    Lu, Wei [ORNL; Han, Lee [University of Tennessee, Knoxville (UTK); Liu, Cheng [ORNL; Tuttle, Mark A [ORNL; Bhaduri, Budhendra L [ORNL

    2014-01-01

    The purpose of this study is to examine whether evacuee compliance behavior with route assignments from different resolutions of demographic data would impact the evacuation performance. Most existing evacuation strategies assume that travelers will follow evacuation instructions, while in reality a certain percent of evacuees do not comply with prescribed instructions. In this paper, a comparison study of evacuation assignment based on Traffic Analysis Zones (TAZ) and high resolution LandScan USA Population Cells (LPC) were conducted for the detailed road network representing Alexandria, Virginia. A revised platform for evacuation modeling built on high resolution demographic data and activity-based microscopic traffic simulation is proposed. The results indicate that evacuee compliance behavior affects evacuation efficiency with traditional TAZ assignment, but it does not significantly compromise the efficiency with high resolution LPC assignment. The TAZ assignment also underestimates the real travel time during evacuation, especially for high compliance simulations. This suggests that conventional evacuation studies based on TAZ assignment might not be effective at providing efficient guidance to evacuees. From the high resolution data perspective, traveler compliance behavior is an important factor but it does not impact the system performance significantly. The highlight of evacuee compliance behavior analysis should be emphasized on individual evacuee level route/shelter assignments, rather than the whole system performance.

  7. On Understanding the Human Nature of Good and Bad Behavior in Business: A Behavioral Ethics Approach

    NARCIS (Netherlands)

    D. de Cremer (David)

    2009-01-01

    textabstractThe numerous scandals in business, such as those at AIG, Tyco, WorldCom, Enron and Ahold, have made all of us concerned about the emergence of unethical and irresponsible behavior in organizations. Such widespread corruption in business and politics has, as result, prompted a growth of i

  8. Firing behavior and network activity of single neurons in human epileptic hypothalamic hamartoma

    Directory of Open Access Journals (Sweden)

    Peter N. Steinmetz

    2013-12-01

    Full Text Available Objective: Human hypothalamic hamartomas (HH are intrinsically epileptogenic and are associated with treatment-resistant gelastic seizures. The basic cellular mechanisms responsible for seizure onset within HH are unknown. We used intra-operative microwire recordings of single neuron activity to measure the spontaneous firing rate of neurons and the degree of functional connection between neurons within the tumor.Technique: Fourteen patients underwent transventricular endoscopic resection of HH for treatment-resistant epilepsy. Prior to surgical resection, single neuron recordings from bundled microwires (total of 9 contacts were obtained from HH tissue. Spontaneous activity was recorded for two or three 5-minute epochs under steady-state general anesthesia. Off-line analysis included cluster analysis of single unit activity and probability analysis of firing relationships between pairs of neurons.Results: Altogether, 222 neurons were identified (mean 6 neurons per recording epoch. Cluster analysis of single neuron firing utilizing a mixture of Gaussians model identified two distinct populations on the basis of firing rate (median firing frequency 0.6 versus 15.0 spikes per second; p<10-5. Cluster analysis identified three populations determined by levels of burst-firing (median burst indices of 0.015, 0.18, and 0.39; p<10-15. Unbiased analysis of spontaneous single unit behavior showed that 51% of all possible neuron pairs within each recording epoch had a significant level of firing synchrony (p<10-15. The subgroup of neurons with higher median firing frequencies was more likely to demonstrate synchronous firing (p<10-7. Conclusions: HH tissue in-vivo contains neurons which fire spontaneously. The activity of single neurons is diverse but distributes into at least two electrophysiological phenoytpes. Functional linkage between single neurons suggests that HH neurons exist within local networks that may contribute to ictogenesis.

  9. A Run-Length Encoding Approach for Path Analysis of C. elegans Search Behavior

    Directory of Open Access Journals (Sweden)

    Li Huang

    2016-01-01

    Full Text Available The nematode Caenorhabditis elegans explores the environment using a combination of different movement patterns, which include straight movement, reversal, and turns. We propose to quantify C. elegans movement behavior using a computer vision approach based on run-length encoding of step-length data. In this approach, the path of C. elegans is encoded as a string of characters, where each character represents a path segment of a specific type of movement. With these encoded string data, we perform k-means cluster analysis to distinguish movement behaviors resulting from different genotypes and food availability. We found that shallow and sharp turns are the most critical factors in distinguishing the differences among the movement behaviors. To validate our approach, we examined the movement behavior of tph-1 mutants that lack an enzyme responsible for serotonin biosynthesis. A k-means cluster analysis with the path string-encoded data showed that tph-1 movement behavior on food is similar to that of wild-type animals off food. We suggest that this run-length encoding approach is applicable to trajectory data in animal or human mobility data.

  10. A Run-Length Encoding Approach for Path Analysis of C. elegans Search Behavior

    Science.gov (United States)

    Kim, Hongkyun; Furst, Jacob

    2016-01-01

    The nematode Caenorhabditis elegans explores the environment using a combination of different movement patterns, which include straight movement, reversal, and turns. We propose to quantify C. elegans movement behavior using a computer vision approach based on run-length encoding of step-length data. In this approach, the path of C. elegans is encoded as a string of characters, where each character represents a path segment of a specific type of movement. With these encoded string data, we perform k-means cluster analysis to distinguish movement behaviors resulting from different genotypes and food availability. We found that shallow and sharp turns are the most critical factors in distinguishing the differences among the movement behaviors. To validate our approach, we examined the movement behavior of tph-1 mutants that lack an enzyme responsible for serotonin biosynthesis. A k-means cluster analysis with the path string-encoded data showed that tph-1 movement behavior on food is similar to that of wild-type animals off food. We suggest that this run-length encoding approach is applicable to trajectory data in animal or human mobility data. PMID:27462364

  11. Spatiotemporal Detection of Unusual Human Population Behavior Using Mobile Phone Data

    CERN Document Server

    Dobra, Adrian; Eagle, Nathan

    2014-01-01

    With the aim to contribute to humanitarian response to disasters and violent events, scientists have proposed the development of analytical tools that could identify emergency events in real-time, using mobile phone data. The assumption is that dramatic and discrete changes in behavior, measured with mobile phone data, will indicate extreme events. In this study, we propose an efficient system for spatiotemporal detection of behavioral anomalies from mobile phone data and compare sites with behavioral anomalies to an extensive database of emergency and non-emergency events in Rwanda. Our methodology successfully captures anomalous behavioral patterns associated with a broad range of events, from religious and official holidays to earthquakes, floods, violence against civilians and protests. Our results suggest that human behavioral responses to extreme events are complex and multi-dimensional, including extreme increases and decreases in both calling and movement behaviors. We also find significant temporal a...

  12. Exergetic analysis of human & natural processes

    CERN Document Server

    Banhatti, Dilip G

    2011-01-01

    Using the concept of available work or exergy, each human and natural process can be characterized by its contextual efficiency, that is, efficiency with the environment as a reference. Such an efficiency is termed exergy efficiency. Parts of the process which need to be made more efficient & less wasteful stand out in such an analysis, in contrast to an energy analysis. Any new idea for a process can be similarly characterized. This exercise naturally generates paths to newer ideas in given contexts to maximize exergy efficiency. The contextual efficiency is not just output/input, it also naturally includes environmental impact (to be minimized) and any other relevant parameter(s) to be optimized. Natural life processes in different terrestrial environments are already optimized for their environments, and act as guides, for example, in seeking to evolve sustainable energy practices in different contexts. Energy use at lowest possible temperature for each situation is a natural result. Variety of renewab...

  13. Early human symbolic behavior in the Late Pleistocene of Wallacea.

    Science.gov (United States)

    Brumm, Adam; Langley, Michelle C; Moore, Mark W; Hakim, Budianto; Ramli, Muhammad; Sumantri, Iwan; Burhan, Basran; Saiful, Andi Muhammad; Siagian, Linda; Suryatman; Sardi, Ratno; Jusdi, Andi; Abdullah; Mubarak, Andi Pampang; Hasliana; Hasrianti; Oktaviana, Adhi Agus; Adhityatama, Shinatria; van den Bergh, Gerrit D; Aubert, Maxime; Zhao, Jian-Xin; Huntley, Jillian; Li, Bo; Roberts, Richard G; Saptomo, E Wahyu; Perston, Yinika; Grün, Rainer

    2017-04-18

    Wallacea, the zone of oceanic islands separating the continental regions of Southeast Asia and Australia, has yielded sparse evidence for the symbolic culture of early modern humans. Here we report evidence for symbolic activity 30,000-22,000 y ago at Leang Bulu Bettue, a cave and rock-shelter site on the Wallacean island of Sulawesi. We describe hitherto undocumented practices of personal ornamentation and portable art, alongside evidence for pigment processing and use in deposits that are the same age as dated rock art in the surrounding karst region. Previously, assemblages of multiple and diverse types of Pleistocene "symbolic" artifacts were entirely unknown from this region. The Leang Bulu Bettue assemblage provides insight into the complexity and diversification of modern human culture during a key period in the global dispersal of our species. It also shows that early inhabitants of Sulawesi fashioned ornaments from body parts of endemic animals, suggesting modern humans integrated exotic faunas and other novel resources into their symbolic world as they colonized the biogeographically unique regions southeast of continental Eurasia.

  14. The Impact of Human Resource Practices and Organizational Citizenship Behaviors on Firm Performance

    Directory of Open Access Journals (Sweden)

    Davood Babaei

    2012-01-01

    Full Text Available Problem statement: The examination of organizational citizenship behaviors as the mediating variable through which human resource practices affect firm performance is still scarce. Approach: This study examined the mediation effects of organizational citizenship behaviors on the relationships between selected human resource practices and firm performance. The human resource practices studied were reward and performance appraisal practices and firm performance was studied in terms of quality of services. Data were collected from a sample of 179 branches of two banks in Tehran, Iran. The participants in this study included 176 managerial employees, 352 non-managerial employees and 871 customers. To achieve these objectives a mediation model was tested using structural equation modeling procedure to examine if the hypothesized model fit the data. Results: The results showed that organizational citizenship behaviors fully mediated the relationships between reward practices and quality of services and partially mediated the relationships between performance appraisal practices and quality of services. Conclusion/Recommendations: The findings of this study suggest that human resource practices play a critical role in enhancing employees organizational citizenship behaviors and firm performance. Organizational citizenship behaviors mediate the effects of reward and performance appraisal practices on service quality. To improve service quality, employers should improve reward and performance appraisal practices since these practices have an impact on employees organizational citizenship behaviors which in turn would affect service quality.

  15. Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis

    Science.gov (United States)

    Monekosso, Dorothy; Remagnino, Paolo

    This paper describes a data generator that produces synthetic data to simulate observations from an array of environment monitoring sensors. The overall goal of our work is to monitor the well-being of one occupant in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. However behavior analysis and modeling require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator - was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection and development of algorithms. The data generator is based on statistical inference techniques. Variation is introduced into the data using perturbation models.

  16. Behavioral analysis of the escape response in larval zebrafish

    Science.gov (United States)

    Feng, Ruopei; Girdhar, Kiran; Chemla, Yann; Gruebele, Martin

    The behavior of larval zebrafish is of great interest because the limited number of locomotor neurons in larval zebrafish couples with its rich repertoire of movements as a vertebrate animal. Current research uses a priori-selected parameters to describe their swimming behavior while our lab has built a parameter-free model based on singular value decomposition analysis to characterize it. Our previous work has analyzed the free swimming of larval zebrafish and presented a different picture from the current classification of larval zebrafish locomotion. Now we are extending this work to the studies of their escape response to acoustic stimulus. Analysis has shown intrinsic difference in the locomotion between escape response and free swimming.

  17. The history of behavior analysis: Some historiography and a bibliography

    Science.gov (United States)

    Morris, Edward K.; Todd, James T.; Midgley, Bryan D.; Schneider, Susan M.; Johnson, Lisa M.

    1990-01-01

    This article has two main purposes. First, it introduces the discipline of historiography and, second, it provides a selected bibliography on the history of behavior analysis. In introducing the former in the context of the latter, four important methodological considerations involved in the process and product of historiography are described: The sources from which historical materials are drawn (i.e., primary, secondary, and tertiary) and three dimensions along which historiography is conducted and evaluated—internalist vs. externalist, great person vs. Zeitgeist, and presentist vs. historicist. Integrated throughout are four purposes for the historiography of behavior analysis, as well as an overview of the topics covered in the extant literature. The manuscript concludes with a listing of current bibliographic material by publication type and topic. PMID:22478061

  18. CORBA-Based Analysis of Multi Agent Behavior

    Institute of Scientific and Technical Information of China (English)

    Swapan Bhattacharya; Anirban Banerjee; Shibdas Bandyopadhyay

    2005-01-01

    An agent is a computer software that is capable of taking independent action on behalf of its user or owner. It is an entity with goals, actions and domain knowledge, situated in an environment. Multiagent systems comprises of multiple autonomous, interacting computer software, or agents. These systems can successfully emulate the entities active in a distributed environment. The analysis of multiagent behavior has been studied in this paper based on a specific board game problem similar to the famous problem of GO. In this paper a framework is developed to define the states of the multiagent entities and measure the convergence metrics for this problem. An analysis of the changes of states leading to the goal state is also made. We support our study of multiagent behavior by simulations based on a CORBA framework in order to substantiate our findings.

  19. Texting while driving as impulsive choice: A behavioral economic analysis

    OpenAIRE

    Hayashi, Yusuke; Russo, Christopher T.; Wirth, Oliver

    2015-01-01

    The goal of the present study was to examine the utility of a behavioral economic analysis to investigate the role of delay discounting in texting while driving. A sample of 147 college students completed a survey to assess how frequently they send and read text messages while driving. Based on this information, students were assigned to one of two groups: 19 students who frequently text while driving and 19 matched-control students who infrequently text while driving but were similar in gend...

  20. Analysis of the behavior of sedimentary rocks under impact loading

    OpenAIRE

    Millon, O.; Ruiz Ripoll, M.L.; Hoerth, T.

    2016-01-01

    In multiple engineering fields such as rock drilling or building constructions or extreme events like earthquakes or impacts, the dynamic properties of rock play an important role. A way to model these events and define measures to minimize the damage derived from these events is created by means of numerical analysis. Hence, the knowledge of the dynamic material behavior is essential for studying the effects of such a loading scenario. Solid geological materials, from the family of the sedim...

  1. Social Media Research, Human Behavior, and Sustainable Society

    OpenAIRE

    Quan Li; Wenbo Wei; Nian Xiong; Daici Feng; Xinyue Ye; Yongsheng Jiang

    2017-01-01

    A bibliometric analysis was conducted to review social media research from different perspectives during the period of 2008–2014 based on the Science Citation Index and Social Science Citation Index database. Using a collection of 10,042 articles related to social media, the bibliometric analysis revealed some interesting patterns and trend of the scientific outputs, major journals, subject categories, spatial distribution, international collaboration, and temporal evolution in keywords usage...

  2. Factors influencing adolescent girls' sexual behavior: a secondary analysis of the 2011 youth risk behavior survey.

    Science.gov (United States)

    Anatale, Katharine; Kelly, Sarah

    2015-03-01

    Adolescence is a tumultuous and challenging time period in life. Sexual risk behavior among adolescents is a widespread topic of interest in the current literature. Two common factors that influence increased sexual risk behavior are symptoms of depression and negative body image. The purpose of this study was to investigate the effect of body image and symptoms of depression upon sexual risk-taking in an adolescent female population. A secondary data analysis of the 2011 Youth Risk Behavior Survey (YRBS) was used to explore girls' sexual activity, body image, and mental health. There were 7,708 high-school girls who participated in this study. Three questions were used to represent the constructs under investigation. There were significant correlations between sexual activity, body image, and symptoms of depression; only symptoms of depression were significant predictors of both sexual activity and condom usage. Body image was a predictor of sexual activity, but not condom use. Our findings support previous studies that suggested that people with depressive symptoms were more likely to engage in risky sexual behaviors. Our study also supports the idea that a negative body image decreases sexual activity; however, other researchers have reported that negative body image leads to an increase in sexual activity.

  3. Phylogeographic analysis of human papillomavirus 58

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Human papillomavirus 58 (HPV58) is one type of HPV with high risk of causing cervical cancer. Unusually high prevalence of HPV58 has been reported in Asia, Africa and some other areas. However, due to the scattered distribution of global data, in addition to the lack of data of some HPV58 high-incidence nations and regions, like Mainland China, a comprehensive analysis of the global geographical distribution of HPV58 remains blank so far. In this study, HPV58 from the human cervical cancer tissue was detected in Mainland China, and 14 new HPV58-E6/L1 gene sequences were obtained. Moreover, phylogeographic analysis has been conducted combining the HPV58 sequences that have been deposited in GenBank since 1985. The study result shows that the sequences detected from the Shanghai, Jiangsu and Sichuan areas are homologous with those found in the past from Hong Kong and Xi’an, China, as well as Japan and other Southeast Asian areas. Furthermore, Western Africa is considered to be the "root" source of the HPV58 variant, while Mainland China and Southeast Asia are "transit points" and the new sources of HPV58 after receiving the isolates from the "root" source; like HPV16 and HPV18, the HPV58 might also be one of the major HPV types associated with the development and spread of cervical cancer.

  4. Electronic speckle-pattern interferometry (ESPI) applied to the study of mechanical behavior of human jaws

    Science.gov (United States)

    Roman, Juan F.; Moreno de las Cuevas, Vincente; Salgueiro, Jose R.; Suarez, David; Fernandez, Paula; Gallas, Mercedes; Blanchard, Alain

    1996-01-01

    The study of the mechanical behavior of the human jaw during chewing is helpful in several specific medical fields that cover the maxillo-facial area. In this work, electronic speckle pattern interferometry has been applied to study dead jaw bones under external stress which simulates the deformations induced during chewing. Fringes obtained after subtraction of two images of the jaw, the image of the relaxed jaw and that of the jaw under stress, give us information about the most stressed zones. The interferometric analysis proposed here is attractive as it can be done in real time with the jaw under progressive stress. Image processing can be applied for improving the quality of fringes. This research can be of help in orthognathic surgery, for example in diagnosis and treatment of fractured jaws, in oral surgery, and in orthodontics because it would help us to know the stress dispersion when we insert an osseointegrated implant or place an orthodontic appliance, respectively. Studying fragments of human jaw some results about its elasticity and flexibility were obtained.

  5. Institutionalization: A Theory of Human Behavior and the Social Environment

    Directory of Open Access Journals (Sweden)

    Miriam McNown Johnson

    2007-05-01

    Full Text Available Institutionalism is the syndrome first recognized and described in inpatient psychiatric facilities,which is now used to describe a set of maladaptive behaviors that are evoked by the pressures of living in any institutional setting. This article traces the development of the theory of institutionalization, which predicts and explains an individual’s response to that particular type of environment. The article makes note of key contributors and contributions, and of empirical studies that have advanced the theory. Underlying perspectives and assumptions are identified and earlier theoretical models are reviewed and critiqued. An updated model of the theory, which includes individual vulnerabilities, objective conditions of the institutional placement, and the resident’s perceptions of the environment, is presented. New directions in the field of institutional care and implications for social workers, particularly for those working in nursing home and prison settings, are discussed, along with recommendations for next steps for theory progression.

  6. Computational Analysis of Human Blood Flow

    Science.gov (United States)

    Panta, Yogendra; Marie, Hazel; Harvey, Mark

    2009-11-01

    Fluid flow modeling with commercially available computational fluid dynamics (CFD) software is widely used to visualize and predict physical phenomena related to various biological systems. In this presentation, a typical human aorta model was analyzed assuming the blood flow as laminar with complaint cardiac muscle wall boundaries. FLUENT, a commercially available finite volume software, coupled with Solidworks, a modeling software, was employed for the preprocessing, simulation and postprocessing of all the models.The analysis mainly consists of a fluid-dynamics analysis including a calculation of the velocity field and pressure distribution in the blood and a mechanical analysis of the deformation of the tissue and artery in terms of wall shear stress. A number of other models e.g. T branches, angle shaped were previously analyzed and compared their results for consistency for similar boundary conditions. The velocities, pressures and wall shear stress distributions achieved in all models were as expected given the similar boundary conditions. The three dimensional time dependent analysis of blood flow accounting the effect of body forces with a complaint boundary was also performed.

  7. Shear-Resistant Behavior Analysis of Light Composite Shear Walls

    Institute of Scientific and Technical Information of China (English)

    李升才; 江见鲸; 于庆荣

    2002-01-01

    Shear test results for a composite wall panel in a light composite structure system are compared with test results for shear walls in Japan in this paper. The analysis results show that this kind of composite wall panel works very well, and can be regarded as a solid panel. The composite wall panel with a hidden frame is essential for bringing its effect on shear resistance into full play. Comprehensive analysis of the shear-resistant behavior of the composite wall panel suggests that the shear of the composite shear wall panel can be controlled by the cracking strength of the web shearing diagonal crack.

  8. Stealth and Natural Disasters: Science, Policy and Human Behavior

    Science.gov (United States)

    Kieffer, S. W.

    2008-12-01

    Geophysicists, earth scientists, and other natural scientists play a key role in studying disasters, and are challenged to convey the science to the public and policy makers (including government and business). I have found it useful to introduce the concept of two general types of disasters to these audiences: natural and stealth. Natural disasters are geological phenomena over which we humans have some, but relatively little, control. Earthquakes, tsunamis, floods and volcanic eruptions are the most familiar examples, but exogenous events such as meteorite impacts, solar flares, and supernovae are also possibly disruptive. Natural disasters typically have an abrupt onset, cause immediate major change, are familiar from the historic record, and get much media and public attention. They cannot be prevented, but preplanning can ameliorate their effects. Natural disasters are increasingly amplified by us (humans), and we are increasingly affected by them due to our expanding presence on the planet. Less familiar disasters are unfolding in the near-term, but they are not happening in the minds of most people. They are approaching us stealthily, and for this reason I propose that we call them stealth disasters. They differ from natural disasters in several important ways: stealth disasters are primarily caused by, or driven by, the interaction of humans with complex cycles of processes on the planet. Examples are: fresh water shortages and contamination, soil degradation and loss, climate changes, ocean degradation. The onset of stealth disasters is incremental rather than abrupt. They may not unfold significantly during the course of one term of political office, but they are unfolding in our lifetime. We as individuals may or may not escape their consequences, but they will affect our children and grandchildren. If humans are familiar with stealth disasters at all, it is from a relatively local experience, e.g., flooding of the Mississippi or the Dust Bowl in the U

  9. Social interactions model and adaptability of human behavior

    Directory of Open Access Journals (Sweden)

    Kun eZhao

    2011-12-01

    Full Text Available Human social networks evolve on the fast timescale of face-to face interactions and of interactions mediated by technology such as a telephone calls or video conferences. The resulting networks have a strong dynamical component that changes significantly the properties of dynamical processes. In this paper we study a general model of pairwise human social interaction intended to model both face-to face interactions and mobile phone communication. We study the distribution of durations of social interactions in whitin the model. This distribution in one limit is a power law, for other values of the parameters of the model this distribution is given by a Weibull function. Therefore the model can be used to model both face-to-face interactions data, where the distribution of duration has been shown to be fat-tailed, and mobile phone communication data where the distribution of duration is given by a Weibull distribution.The highly adaptable social interaction model propose in this paper has a very simple algorithmic implementation and can be used to simulate dynamical processes occurring in dynamical social interaction networks.

  10. Humans display a reduced set of consistent behavioral phenotypes in dyadic games

    CERN Document Server

    Poncela-Casasnovas, Julia; Gracia-Lazaro, Carlos; Vicens, Julian; Gomez-Gardenes, Jesus; Perello, Josep; Moreno, Yamir; Duch, Jordi; Sanchez, Angel

    2016-01-01

    Socially relevant situations that involve strategic interactions are widespread among animals and humans alike. To study these situations, theoretical and experimental works have adopted a game-theoretical perspective, which has allowed to obtain valuable insights about human behavior. However, most of the results reported so far have been obtained from a population perspective and considered one specific conflicting situation at a time. This makes it difficult to extract conclusions about the consistency of individuals' behavior when facing different situations, and more importantly, to define a comprehensive classification of the strategies underlying the observed behaviors. Here, we present the results of a lab-in-the-field experiment in which subjects face four different dyadic games, with the aim of establishing general behavioral rules dictating individuals' actions. By analyzing our data with an unsupervised clustering algorithm, we find that all the subjects conform, with a large degree of consistency...

  11. [The evolution of human cultural behavior: notes on Darwinism and complexity].

    Science.gov (United States)

    Peric, Mikael; Murrieta, Rui Sérgio Sereni

    2015-12-01

    The article analyzes three schools that can be understood as central in studies of the evolution of human behavior within the paradigm of evolution by natural selection: human behavioral ecology (HBE), evolutionary psychology, and dual inheritance. These three streams of thought are used to depict the Darwinist landscape and pinpoint its strong suits and limitations. Theoretical gaps were identified that seem to reduce these schools' ability to account for the diversity of human evolutionary behavior. Their weak points include issues related to the concept of reproductive success, types of adaptation, and targets of selection. An interdisciplinary approach is proposed as the solution to this dilemma, where complex adaptive systems would serve as a source.

  12. Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction.

    Science.gov (United States)

    Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya

    2016-01-01

    To work cooperatively with humans by using language, robots must not only acquire a mapping between language and their behavior but also autonomously utilize the mapping in appropriate contexts of interactive tasks online. To this end, we propose a novel learning method linking language to robot behavior by means of a recurrent neural network. In this method, the network learns from correct examples of the imposed task that are given not as explicitly separated sets of language and behavior but as sequential data constructed from the actual temporal flow of the task. By doing this, the internal dynamics of the network models both language-behavior relationships and the temporal patterns of interaction. Here, "internal dynamics" refers to the time development of the system defined on the fixed-dimensional space of the internal states of the context layer. Thus, in the execution phase, by constantly representing where in the interaction context it is as its current state, the network autonomously switches between recognition and generation phases without any explicit signs and utilizes the acquired mapping in appropriate contexts. To evaluate our method, we conducted an experiment in which a robot generates appropriate behavior responding to a human's linguistic instruction. After learning, the network actually formed the attractor structure representing both language-behavior relationships and the task's temporal pattern in its internal dynamics. In the dynamics, language-behavior mapping was achieved by the branching structure. Repetition of human's instruction and robot's behavioral response was represented as the cyclic structure, and besides, waiting to a subsequent instruction was represented as the fixed-point attractor. Thanks to this structure, the robot was able to interact online with a human concerning the given task by autonomously switching phases.

  13. A Framework for Human-like Behavior in an Immersive Virtual World

    OpenAIRE

    Kuijk, Fons; Van Broeck, Sigurd; Dareau, Claude; Ravenet, Brian; Ochs, Magalie; Apostolakis, Konstantinos; Daras, Petros; Monaghan, David; O''Connor, Noel E.; Wall, Julie; Izquierdo, Ebroul

    2013-01-01

    Just as readers feel immersed when the story line adheres to their experiences, users will more easily feel immersed in a virtual environment if the behavior of the characters in that environment adheres to their expectations, based on their life-long observations in the real world. This paper introduces a framework that allows authors to establish natural, human-like behavior, physical interaction and emotional engagement of characters living in a virtual environment. Represented by realisti...

  14. Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human--Robot Interaction

    Directory of Open Access Journals (Sweden)

    Tatsuro Yamada

    2016-07-01

    Full Text Available To work cooperatively with humans by using language, robots must not only acquire a mapping between language and their behavior but also autonomously utilize the mapping in appropriate contexts of interactive tasks online. To this end, we propose a novel learning method linking language to robot behavior by means of a recurrent neural network. In this method, the network learns from correct examples of the imposed task that are given not as explicitly separated sets of language and behavior but as sequential data constructed from the actual temporal flow of the task. By doing this, the internal dynamics of the network models both language--behavior relationships and the temporal patterns of interaction. Here, ``internal dynamics'' refers to the time development of the system defined on the fixed-dimensional space of the internal states of the context layer. Thus, in the execution phase, by constantly representing where in the interaction context it is as its current state, the network autonomously switches between recognition and generation phases without any explicit signs and utilizes the acquired mapping in appropriate contexts. To evaluate our method, we conducted an experiment in which a robot generates appropriate behavior responding to a human's linguistic instruction. After learning, the network actually formed the attractor structure representing both language--behavior relationships and the task's temporal pattern in its internal dynamics. In the dynamics, language--behavior mapping was achieved by the branching structure. Repetition of human's instruction and robot's behavioral response was represented as the cyclic structure, and besides, waiting to a subsequent instruction was represented as the fixed-point attractor. Thanks to this structure, the robot was able to interact online with a human concerning the given task by autonomously switching phases.

  15. Numerical analysis of pile lateral behavior of pile supported embankment

    Institute of Scientific and Technical Information of China (English)

    荆志东; 刘力; 郑刚; 姜岩

    2008-01-01

    A finite difference numerical method was adopted to evaluate the pile lateral behavior of pile supported embankment. A published case history was used to verify the proposed methodology. By simulating the case history, the determination of parameters needed were verified. Then three embankments constructed on different ground conditions with different soil-pile relative stiffnesses were analyzed to study pile lateral behaviors including pile deflection and bending moment. The results show that pile deflections and bending moments induced by soil lateral deformation and embankment vertical load are different for piles at different positions under the same embankment. The relative stiffness between pile and soil affected by the properties of different reinforcing piles such as concrete pile and deep mixing method pile exert important effects on the pile lateral behavior and the pile’s failure modes. Consequently, it is necessary to consider the different piles lateral behaviors and possible failure modes at different positions and the different piles proprieties with different reinforcing methods in the embankment stability analysis.

  16. Behavior analysts and cultural analysis: Troubles and issues

    Science.gov (United States)

    Malagodi, E. F.; Jackson, Kevin

    1989-01-01

    Three strategic suggestions are offered to behavior analysts who are concerned with extending the interests of our discipline into domains traditionally assigned to the social sciences: (1) to expand our world-view perspectives beyond the boundaries commonly accepted by psychologists in general; (2) to build a cultural analytic framework upon the foundations we have developed for the study of individuals; and (3) to study the works of those social scientists whose views are generally compatible with, and complementary to, our own. Sociologist C. Wright Mills' distinction between troubles and issues and anthropologist Marvin Harris's principles of cultural materialism are related to topics raised by these three strategies. The pervasiveness of the “psychocentric” world view within psychology and the social sciences, and throughout our culture at large, is discussed from the points of view of Skinner, Mills, and Harris. It is suggested that a thorough commitment to radical behaviorism, and continuation of interaction between radical behaviorism and cultural materialism, are necessary for maintaining and extending an issues orientation within the discipline of behavior analysis and for guarding against dilutions and subversions of that orientation by “deviation-dampening” contingencies that exist in our profession and in our culture at large. PMID:22478014

  17. Three applications of functional analysis with group dynamic cognitive behavioral group therapy.

    Science.gov (United States)

    Scharwächter, Peter

    2008-01-01

    Case illustrations from group dynamic cognitive behavioral group therapy are presented to demonstrate three applications of functional analysis and the resulting cognitive behavioral interventions. The principles of group dynamic cognitive behavioral group therapy are explained. A functional analysis is applied first to the problem behavior of an individual group member. A clinical case illustrates how the group members help to change this individual group member's behavior from a learning theory perspective. Next, the circular interactional problem behavior between two group members is reduced to the individual functional analysis of each of the two member's problem behaviors. It is then illustrated how the two group member's problem behaviors, as well as feedback from others, contribute toward helping to change each others behavior. The paper concludes that functional analysis and ensuing behavioral interventions can be also applied to group as a whole behavior.

  18. Behavioral estimates of human frequency selectivity at low frequencies

    DEFF Research Database (Denmark)

    Orellana, Carlos Andrés Jurado

    A fundamental property of our hearing organ is its ability to break down sound into different spectral components, allowing us to make use of the richness in natural sound phenomena. Auditory filters, which conceptualize this property of the ear, however, have not been appropriately described...... at low sound frequencies. As a consequence of our lack of knowledge, we cannot accurately model our perception of complex low-frequency sound (such as that emitted by wind turbines or industrial processes, which can easily produce annoyance) nor make meaningful predictions of our perception based...... on physical sound measurements. In this PhD thesis a detailed description of frequency selectivity at low frequencies is given. Different experiments have been performed to determine the properties of human auditory filters. Besides, loudness perception of low-frequency sinusoidal signals has been evaluated...

  19. Human Reliability Analysis for Design: Using Reliability Methods for Human Factors Issues

    Energy Technology Data Exchange (ETDEWEB)

    Ronald Laurids Boring

    2010-11-01

    This paper reviews the application of human reliability analysis methods to human factors design issues. An application framework is sketched in which aspects of modeling typically found in human reliability analysis are used in a complementary fashion to the existing human factors phases of design and testing. The paper provides best achievable practices for design, testing, and modeling. Such best achievable practices may be used to evaluate and human system interface in the context of design safety certifications.

  20. Features of hand-foot crawling behavior in human adults.

    Science.gov (United States)

    Maclellan, M J; Ivanenko, Y P; Cappellini, G; Sylos Labini, F; Lacquaniti, F

    2012-01-01

    Interlimb coordination of crawling kinematics in humans shares features with other primates and nonprimate quadrupeds, and it has been suggested that this is due to a similar organization of the locomotor pattern generators (CPGs). To extend the previous findings and to further explore the neural control of bipedal vs. quadrupedal locomotion, we used a crawling paradigm in which healthy adults crawled on their hands and feet at different speeds and at different surface inclinations (13°, 27°, and 35°). Ground reaction forces, limb kinematics, and electromyographic (EMG) activity from 26 upper and lower limb muscles on the right side of the body were collected. The EMG activity was mapped onto the spinal cord in approximate rostrocaudal locations of the motoneuron pools to characterize the general features of cervical and lumbosacral spinal cord activation. The spatiotemporal pattern of spinal cord activity significantly differed between quadrupedal and bipedal gaits. In addition, participants exhibited a large range of kinematic coordination styles (diagonal vs. lateral patterns), which is in contrast to the stereotypical kinematics of upright bipedal walking, suggesting flexible coupling of cervical and lumbosacral pattern generators. Results showed strikingly dissimilar directional horizontal forces for the arms and legs, considerably retracted average leg orientation, and substantially smaller sacral vs. lumbar motoneuron activity compared with quadrupedal gait in animals. A gradual transition to a more vertical body orientation (increasing the inclination of the treadmill) led to the appearance of more prominent sacral activity (related to activation of ankle plantar flexors), typical of bipedal walking. The findings highlight the reorganization and adaptation of CPG networks involved in the control of quadrupedal human locomotion and a high specialization of the musculoskeletal apparatus to specific gaits.

  1. Rhythm patterns interaction--synchronization behavior for human-robot joint action.

    Science.gov (United States)

    Mörtl, Alexander; Lorenz, Tamara; Hirche, Sandra

    2014-01-01

    Interactive behavior among humans is governed by the dynamics of movement synchronization in a variety of repetitive tasks. This requires the interaction partners to perform for example rhythmic limb swinging or even goal-directed arm movements. Inspired by that essential feature of human interaction, we present a novel concept and design methodology to synthesize goal-directed synchronization behavior for robotic agents in repetitive joint action tasks. The agents' tasks are described by closed movement trajectories and interpreted as limit cycles, for which instantaneous phase variables are derived based on oscillator theory. Events segmenting the trajectories into multiple primitives are introduced as anchoring points for enhanced synchronization modes. Utilizing both continuous phases and discrete events in a unifying view, we design a continuous dynamical process synchronizing the derived modes. Inverse to the derivation of phases, we also address the generation of goal-directed movements from the behavioral dynamics. The developed concept is implemented to an anthropomorphic robot. For evaluation of the concept an experiment is designed and conducted in which the robot performs a prototypical pick-and-place task jointly with human partners. The effectiveness of the designed behavior is successfully evidenced by objective measures of phase and event synchronization. Feedback gathered from the participants of our exploratory study suggests a subjectively pleasant sense of interaction created by the interactive behavior. The results highlight potential applications of the synchronization concept both in motor coordination among robotic agents and in enhanced social interaction between humanoid agents and humans.

  2. Coupling infectious diseases, human preventive behavior, and networks--a conceptual framework for epidemic modeling.

    Science.gov (United States)

    Mao, Liang; Yang, Yan

    2012-01-01

    Human-disease interactions involve the transmission of infectious diseases among individuals and the practice of preventive behavior by individuals. Both infectious diseases and preventive behavior diffuse simultaneously through human networks and interact with one another, but few existing models have coupled them together. This article proposes a conceptual framework to fill this knowledge gap and illustrates the model establishment. The conceptual model consists of two networks and two diffusion processes. The two networks include: an infection network that transmits diseases and a communication network that channels inter-personal influence regarding preventive behavior. Both networks are composed of same individuals but different types of interactions. This article further introduces modeling approaches to formulize such a framework, including the individual-based modeling approach, network theory, disease transmission models and behavioral models. An illustrative model was implemented to simulate a coupled-diffusion process during an influenza epidemic. The simulation outcomes suggest that the transmission probability of a disease and the structure of infection network have profound effects on the dynamics of coupled-diffusion. The results imply that current models may underestimate disease transmissibility parameters, because human preventive behavior has not been considered. This issue calls for a new interdisciplinary study that incorporates theories from epidemiology, social science, behavioral science, and health psychology. Copyright © 2011 Elsevier Ltd. All rights reserved.

  3. Analysis of the Behavior of Sedimentary Rocks Under Impact Loading

    Science.gov (United States)

    Millon, Oliver; Ruiz-Ripoll, Maria Luisa; Hoerth, Tobias

    2016-11-01

    In multiple engineering fields such as rock drilling or building constructions or extreme events like earthquakes or impacts, the dynamic properties of rock play an important role. A way to model these events and define measures to minimize the damage derived from these events is created by means of numerical analysis. Hence, the knowledge of the dynamic material behavior is essential for studying the effects of such a loading scenario. Solid geological materials, from the family of the sedimentary rocks, have been analyzed under quasi-static loads. However, there is a lack of knowledge when high strain rate loadings are involved. Within this context, the paper focuses on the experimental characterization of two sedimentary rocks, sandstone and limestone, under impact loading using the Hopkinson-Bar spallation and compression tests. The analysis encompasses the determination of the tensile and compressive properties as well as the comparison between the quasi-static and dynamic behavior (dynamic increase factors). The paper fills the gap of information existing about dynamic behavior of sedimentary rocks under strain rates between 100 and 5.2 × 102 s-1. Furthermore, the fragmentation under different strain rates is investigated and conclusions with respect to energy absorption capacity are drawn.

  4. Cost Behavior: Mapping and Systemic Analysis of International Publications

    Directory of Open Access Journals (Sweden)

    Fernando Richartz

    2014-12-01

    Full Text Available This article has as objective mapping of scientific researches into costs behavior to identify its current scenario. The research on database provided a selection of relevant bibliographic portfolio, which had as a result 29 articles according to the research criteria defined in the study. From those, the articles from Anderson, Banker e Janakiraman (2003 were highlighted. Furthermore, Banker is considered to be the main author about costs behavior, its importance is noticed not only in the portfolio itself, but also, in its references. The most important periodic, either for its impact, or related to its number of articles publicized, is The Accounting Review. Finally, from the relationship between the most important articles about bibliometric analysis, featuring systemic analysis, the conclusion is that an important article about cost behavior has a quantitative approach (with the use of robust regression, recognize the existence of Sticky Costs (no matter which approach is in use, makes use of a variety of explanations (internal & external and add some variable or information for scientific evolution of the subject.

  5. Effects of prenatal alcohol exposure on social behavior in humans and other species.

    Science.gov (United States)

    Kelly, S J; Day, N; Streissguth, A P

    2000-01-01

    Alcohol exposure during development causes central nervous system alterations in both humans and animals. Although the most common behavioral manifestation of these alterations is a reduction in cognitive abilities, it is becoming increasingly apparent that deficits in social behavior may be very prevalent sequelae of developmental alcohol exposure. In infancy and early childhood, deficits in attachment behavior and state regulation are seen in both alcohol-exposed people and animals, suggesting that these changes are largely the result of the alcohol exposure rather than maternal behavior. In the periadolescent period, people exposed to alcohol during development show a variety of difficulties in the social domain as measured by checklists filled out by either a parent or teacher. Rats exposed to alcohol during development show changes in play and parenting behaviors. In adulthood, prenatal alcohol exposure is related to high rates of trouble with the law, inappropriate sexual behavior, depression, suicide, and failure to care for children. These high rates all suggest that there may be fundamental problems in the social domain. In other animals, perinatal alcohol exposure alters aggression, active social interactions, social communication and recognition, maternal behavior, and sexual behavior in adults. In conclusion, research suggests that people exposed to alcohol during development may exhibit striking changes in social behavior; the animal research suggests that these changes may be largely the result of the alcohol insult and not the environment.

  6. Effects of human activity on physiological and behavioral responses of an endangered steppe bird

    OpenAIRE

    Tarjuelo, Rocío; Barja, Isabel; Morales, Manuel B.; Traba, Juan; Benítez-López, Ana; Casas, Fabián; Arroyo, Beatriz; Delgado, M. Paula; Mougeot, François

    2015-01-01

    This is a pre-copyedited, author-produced PDF of an article accepted for publication in Behavioral Ecology following peer review. The version of recordBehavioral Ecology 26.3 (2015): 828-838 is available online at: http://beheco.oxfordjournals.org/content/early/2015/04/02/beheco.arv016 Animals may perceive humans as a form of predatory threat, a disturbance, triggering behavioral changes together with the activation of physiological stress responses. These adaptive responses may allow indi...

  7. Modeling the tensile behavior of human Achilles tendon.

    Science.gov (United States)

    Lewis, G; Shaw, K M

    1997-01-01

    Uniaxial quasi-static tensile stress, sigma versus strain, epsilon, data were obtained from 29 cadaveric Achilles tendons (donor ages: 36 to 100 years), at a strain rate of either 10 or 100%/s. These results were then used in modeling the elastic component of the tensile deformational behavior of this tissue. Two approaches were taken. In the first, it was shown that the following constitutive relation provided an excellent fit to the elastic section of the sigma-epsilon curve, sigma = C epsilon exp[D epsilon + F epsilon 2], with C, D and F being material constants, whose values for the present dataset were found to be C = 2.00 +/- 0.99, D = 0.089 +/- 0.087 and F = -0.0047 +/- 0.0095. The values of these coefficients were not statistically significantly affected by either donor age or test strain rate. In the second approach, the value of the modulus of elasticity of a filamentary polymer matrix composite material was computed as a function of various combinations of values of the modulus of elasticity of the fiber, the modulus of elasticity of the matrix, and angle of orientation of the principal material axes with respect to the reference coordinate axes (theta) for a fiber volume fraction of 0.6 and a material Poisson's ratio of 0.4. By comparing these results with the experimentally-obtained values of the tangent modulus of elasticity of the tendons (defined as the slope of the linear section of the post-toe zone in the sigma-epsilon plot), and assuming that the tendon may be idealized as a filamentary polymer matrix composite material, the suggestion is made that the winding angle of the fibers (collagen fibrils) in the tendon (taken to be equal to theta) is about 6 degrees.

  8. Political Regime and Human Capital: A Cross-Country Analysis

    Science.gov (United States)

    Klomp, Jeroen; de Haan, Jakob

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human capital). In the second step, we estimate the…

  9. Political Regime and Human Capital: A Cross-Country Analysis

    Science.gov (United States)

    Klomp, Jeroen; de Haan, Jakob

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human capital). In the second step, we estimate the…

  10. Political regime and human capital : A cross-country analysis

    NARCIS (Netherlands)

    Klomp, J.G.; de Haan, J.

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human ca

  11. Political regime and human capital: A cross-country analysis

    NARCIS (Netherlands)

    Klomp, J.G.; Haan, de J.

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human ca

  12. Political regime and human capital : A cross-country analysis

    NARCIS (Netherlands)

    Klomp, J.G.; de Haan, J.

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human ca

  13. Political regime and human capital: A cross-country analysis

    NARCIS (Netherlands)

    Klomp, J.G.; Haan, de J.

    2013-01-01

    We examine the relationship between different dimensions of the political regime in place and human capital using a two-step structural equation model. In the first step, we employ factor analysis on 16 human capital indicators to construct two new human capital measures (basic and advanced human ca

  14. HUMAN RELIABILITY ANALYSIS FOR COMPUTERIZED PROCEDURES

    Energy Technology Data Exchange (ETDEWEB)

    Ronald L. Boring; David I. Gertman; Katya Le Blanc

    2011-09-01

    This paper provides a characterization of human reliability analysis (HRA) issues for computerized procedures in nuclear power plant control rooms. It is beyond the scope of this paper to propose a new HRA approach or to recommend specific methods or refinements to those methods. Rather, this paper provides a review of HRA as applied to traditional paper-based procedures, followed by a discussion of what specific factors should additionally be considered in HRAs for computerized procedures. Performance shaping factors and failure modes unique to computerized procedures are highlighted. Since there is no definitive guide to HRA for paper-based procedures, this paper also serves to clarify the existing guidance on paper-based procedures before delving into the unique aspects of computerized procedures.

  15. Numerical analysis of human dental occlusal contact

    Science.gov (United States)

    Bastos, F. S.; Las Casas, E. B.; Godoy, G. C. D.; Meireles, A. B.

    2010-06-01

    The purpose of this study was to obtain real contact areas, forces, and pressures acting on human dental enamel as a function of the nominal pressure during dental occlusal contact. The described development consisted of three steps: characterization of the surface roughness by 3D contact profilometry test, finite element analysis of micro responses for each pair of main asperities in contact, and homogenization of macro responses using an assumed probability density function. The inelastic deformation of enamel was considered, adjusting the stress-strain relationship of sound enamel to that obtained from instrumented indentation tests conducted with spherical tip. A mechanical part of the static friction coefficient was estimated as the ratio between tangential and normal components of the overall resistive force, resulting in μd = 0.057. Less than 1% of contact pairs reached the yield stress of enamel, indicating that the occlusal contact is essentially elastic. The micro-models indicated an average hardness of 6.25GPa, and the homogenized result for macroscopic interface was around 9GPa. Further refinements of the methodology and verification using experimental data can provide a better understanding of processes related to contact, friction and wear of human tooth enamel.

  16. Creep and recovery behavior analysis of space mesh structures

    Science.gov (United States)

    Tang, Yaqiong; Li, Tuanjie; Ma, Xiaofei

    2016-11-01

    The Schapery's nonlinear viscoelastic theory and nonlinear force-density method have been investigated to analyze the creep and recovery behaviors of space deployable mesh reflectors in this paper. Based on Schapery's nonlinear viscoelastic theory, we establish the creep and recovery constitutive model for cables whose pretensions were applied stepwise in time. This constitutive model has been further used for adjustment of cables' elongation rigidity. In addition, the time-dependent tangent stiffness matrix is calculated by the partial differentiation of the corresponding load vector with respect to the nodal coordinate vector obtained by the nonlinear force-density method. An incremental-iterative solution based on the Newton-Raphson method is adopted for solving the time-dependent nonlinear statics equations. Finally, a hoop truss reflector antenna is presented as a numerical example to illustrate the efficiency of the proposed method for the creep and recovery behavior analysis of space deployable mesh structures.

  17. Detecting Infected Botnet Machines by Using the Traffic Behavior Analysis

    Directory of Open Access Journals (Sweden)

    Fahimeh Hasani

    2015-09-01

    Full Text Available Despite the increase in attacks and other security challenges in cyberspace, we require new methods of detection and to develop new techniques for the new generations of attacks. One of these new threats are botnets. This article presents the means for identifying infected machines with botnets by using a behavioral analysis method. Work with botnets as a tool intended to carry out criminal activities has increased with large area in computer networks against large targets. The pattern of behavior By frequent studying on the nods and the visualization of traffic with FroceAtlas2 and Page Rank algorithms have been presented by analyzing the data traffic, as a result, the nodes that have the most interaction structure on bot in the network, have been identified as the machines infected with botnets.

  18. The animal and human neuroendocrinology of social cognition, motivation and behavior.

    Science.gov (United States)

    McCall, Cade; Singer, Tania

    2012-04-15

    Extensive animal and recent human research have helped inform neuroendocrinological models of social cognition, motivation and behavior. In this review, we first summarize important findings regarding oxytocin, arginine vasopressin and testosterone in the domains of affiliation, social cognition, aggression and stress/anxiety. We then suggest ways in which human research can continue to profit from animal research, particularly by exploring the interactive nature of neuromodulatory effects at neurochemical, organismic and contextual levels. We further propose methods inspired by the animal literature for the ecologically valid assessment of affiliative behavior in humans. We conclude with suggestions for how human research could advance by directly assessing specific social cognitive and motivational mechanisms as intermediate variables. We advocate a more comprehensive look at the distinct networks identified by social neuroscience and the importance of a motivational state, in addition to approach and avoidance, associated with quiescence and homeostatic regulation.

  19. Comprehensive Behavioral Analysis of Activating Transcription Factor 5-Deficient Mice.

    Science.gov (United States)

    Umemura, Mariko; Ogura, Tae; Matsuzaki, Ayako; Nakano, Haruo; Takao, Keizo; Miyakawa, Tsuyoshi; Takahashi, Yuji

    2017-01-01

    Activating transcription factor 5 (ATF5) is a member of the CREB/ATF family of basic leucine zipper transcription factors. We previously reported that ATF5-deficient (ATF5(-/-)) mice demonstrated abnormal olfactory bulb development due to impaired interneuron supply. Furthermore, ATF5(-/-) mice were less aggressive than ATF5(+/+) mice. Although ATF5 is widely expressed in the brain, and involved in the regulation of proliferation and development of neurons, the physiological role of ATF5 in the higher brain remains unknown. Our objective was to investigate the physiological role of ATF5 in the higher brain. We performed a comprehensive behavioral analysis using ATF5(-/-) mice and wild type littermates. ATF5(-/-) mice exhibited abnormal locomotor activity in the open field test. They also exhibited abnormal anxiety-like behavior in the light/dark transition test and open field test. Furthermore, ATF5(-/-) mice displayed reduced social interaction in the Crawley's social interaction test and increased pain sensitivity in the hot plate test compared with wild type. Finally, behavioral flexibility was reduced in the T-maze test in ATF5(-/-) mice compared with wild type. In addition, we demonstrated that ATF5(-/-) mice display disturbances of monoamine neurotransmitter levels in several brain regions. These results indicate that ATF5 deficiency elicits abnormal behaviors and the disturbance of monoamine neurotransmitter levels in the brain. The behavioral abnormalities of ATF5(-/-) mice may be due to the disturbance of monoamine levels. Taken together, these findings suggest that ATF5(-/-) mice may be a unique animal model of some psychiatric disorders.

  20. Static analysis of worst-case stack cache behavior

    DEFF Research Database (Denmark)

    Jordan, Alexander; Brandner, Florian; Schoeberl, Martin

    2013-01-01

    Utilizing a stack cache in a real-time system can aid predictability by avoiding interference that heap memory traffic causes on the data cache. While loads and stores are guaranteed cache hits, explicit operations are responsible for managing the stack cache. The behavior of these operations can...... be analyzed statically. We present algorithms that derive worst-case bounds on the latency-inducing operations of the stack cache. Their results can be used by a static WCET tool. By breaking the analysis down into subproblems that solve intra-procedural data-flow analysis and path searches on the call......-graph, the worst-case bounds can be efficiently yet precisely determined. Our evaluation using the MiBench benchmark suite shows that only 37% and 21% of potential stack cache operations actually store to and load from memory, respectively. Analysis times are modest, on average running between 0.46s and 1.30s per...