WorldWideScience

Sample records for human behavior experts

  1. Computers Simulate Human Experts.

    Science.gov (United States)

    Roberts, Steven K.

    1983-01-01

    Discusses recent progress in artificial intelligence in such narrowly defined areas as medical and electronic diagnosis. Also discusses use of expert systems, man-machine communication problems, novel programing environments (including comments on LISP and LISP machines), and types of knowledge used (factual, heuristic, and meta-knowledge). (JN)

  2. Computers Simulate Human Experts.

    Science.gov (United States)

    Roberts, Steven K.

    1983-01-01

    Discusses recent progress in artificial intelligence in such narrowly defined areas as medical and electronic diagnosis. Also discusses use of expert systems, man-machine communication problems, novel programing environments (including comments on LISP and LISP machines), and types of knowledge used (factual, heuristic, and meta-knowledge). (JN)

  3. Dog experts' brains distinguish socially relevant body postures similarly in dogs and humans.

    Science.gov (United States)

    Kujala, Miiamaaria V; Kujala, Jan; Carlson, Synnöve; Hari, Riitta

    2012-01-01

    We read conspecifics' social cues effortlessly, but little is known about our abilities to understand social gestures of other species. To investigate the neural underpinnings of such skills, we used functional magnetic resonance imaging to study the brain activity of experts and non-experts of dog behavior while they observed humans or dogs either interacting with, or facing away from a conspecific. The posterior superior temporal sulcus (pSTS) of both subject groups dissociated humans facing toward each other from humans facing away, and in dog experts, a distinction also occurred for dogs facing toward vs. away in a bilateral area extending from the pSTS to the inferior temporo-occipital cortex: the dissociation of dog behavior was significantly stronger in expert than control group. Furthermore, the control group had stronger pSTS responses to humans than dogs facing toward a conspecific, whereas in dog experts, the responses were of similar magnitude. These findings suggest that dog experts' brains distinguish socially relevant body postures similarly in dogs and humans.

  4. Larger right posterior parietal volume in action video game experts: a behavioral and voxel-based morphometry (VBM) study.

    Science.gov (United States)

    Tanaka, Satoshi; Ikeda, Hanako; Kasahara, Kazumi; Kato, Ryo; Tsubomi, Hiroyuki; Sugawara, Sho K; Mori, Makoto; Hanakawa, Takashi; Sadato, Norihiro; Honda, Manabu; Watanabe, Katsumi

    2013-01-01

    Recent studies suggest that action video game players exhibit superior performance in visuospatial cognitive tasks compared with non-game players. However, the neural basis underlying this visuospatial cognitive performance advantage remains largely unknown. The present human behavioral and imaging study compared gray matter volume in action video game experts and non-experts using structural magnetic resonance imaging and voxel-based morphometry analysis. The results revealed significantly larger gray matter volume in the right posterior parietal cortex in experts compared with non-experts. Furthermore, the larger gray matter volume in the right posterior parietal cortex significantly correlated with individual performance in a visual working memory task in experts. These results suggest that differences in brain structure may be linked to extensive video game play, leading to superior visuospatial cognitive performance in action video game experts.

  5. A Novel Web-based Human Advisor Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Vahid Rafe

    2013-02-01

    Full Text Available The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES have created new methods for sharing and distributing knowledge. However, there has been a general lack of investigation in the area of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and use of web-based applications from a standpoint of the benefits and challenges of development and utilization are investigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineering framework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise is a must. In addition, some of advisory rules are subject to change because of domain knowledge update. The human requests may have linguistic or crisp forms and a conventional expert system (ES is not able to overcome the fuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA is developed and implemented to be used as a student advisor at the department‘s web portal. The system is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.

  6. Human Disease Diagnosis Using a Fuzzy Expert System

    CERN Document Server

    Hasan, Mir Anamul; Chowdhury, Ahsan Raja

    2010-01-01

    Human disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. This paper describes a project work aiming to develop a web-based fuzzy expert system for diagnosing human diseases. Now a days fuzzy systems are being used successfully in an increasing number of application areas; they use linguistic rules to describe systems. This research project focuses on the research and development of a web-based clinical tool designed to improve the quality of the exchange of health information between health care professionals and patients. Practitioners can also use this web-based tool to corroborate diagnosis. The proposed system is experimented on various scenarios in order to evaluate it's performance. In all the cases, proposed system exhibits satisfactory results.

  7. A Novel Web-based Human Advisor Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Vahid Rafe

    2013-01-01

    Full Text Available The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES have creatednew methods for sharing and distributing knowledge. However, there has been a general lack of investigation in thearea of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and useof web-based applications from a standpoint of the benefits and challenges of development and utilization areinvestigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineeringframework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise isa must. In addition, some of advisory rules are subject to change because of domain knowledge update. The humanrequests may have linguistic or crisp forms and a conventional expert system (ES is not able to overcome thefuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor(FES-CHA is developed and implemented to be used as a student advisor at the department's web portal. Thesystem is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.

  8. 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)

  9. 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)

  10. Human Reliability for the Next Generation of Nuclear Experts

    Energy Technology Data Exchange (ETDEWEB)

    Coates, Cameron W [ORNL; Eisele, Gerhard R [ORNL

    2010-01-01

    As the nuclear renaissance progresses and today s nuclear and radiological experts retire, a new generation of experts will ultimately be recruited, trained, and replace the old guard. Selecting individuals who have the attitudes and values appropriate to work in the nuclear industry and who have the best qualifications for the position will be a key to the success of this renaissance. In a world with deep divisions on political and social issues; how a State, agency, or company assures that those hired can be trusted with the access to, and responsibilities for, nuclear and/or radiological materials is an important consideration. Human interactions invariably rely on the offering of assurance and the receipt of trust. A fundamental element in any human relationship is knowing when to trust and when to doubt. When are assurances to be believed or questioned? Human reliability programs (HRP) are used to assure a person s truthfulness and loyalty to the State. An HRP program has a number of elements and may not fit all cultures in the same form. An HRP can vary in scope from simple background checks of readily available data to full field investigations and testing. This presentation discusses possible elements for an HRP from regulation to implementation and the issues related to each element. The effects of an HRP on potential recruits will be discussed.

  11. Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning.

    Science.gov (United States)

    Narayan, Pritesh; Meyer, Patrick; Campbell, Duncan

    2013-04-01

    This paper presents a new approach for the inclusion of human expert cognition into autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude environments. During typical UAS operations, multiple objectives may exist; therefore, the use of multicriteria decision aid techniques can potentially allow for convergence to trajectory solutions which better reflect overall mission requirements. In that context, additive multiattribute value theory has been applied to optimize trajectories with respect to multiple objectives. A graphical user interface was developed to allow for knowledge capture from a human decision maker (HDM) through simulated decision scenarios. The expert decision data gathered are converted into value functions and corresponding criteria weightings using utility additive theory. The inclusion of preferences elicited from HDM data within an automated decision system allows for the generation of trajectories which more closely represent the candidate HDM decision preferences. This approach has been demonstrated in this paper through simulation using a fixed-wing UAS operating in low-altitude environments.

  12. Human motion tracking by temporal-spatial local gaussian process experts.

    Science.gov (United States)

    Zhao, Xu; Fu, Yun; Liu, Yuncai

    2011-04-01

    Human pose estimation via motion tracking systems can be considered as a regression problem within a discriminative framework. It is always a challenging task to model the mapping from observation space to state space because of the high-dimensional characteristic in the multimodal conditional distribution. In order to build the mapping, existing techniques usually involve a large set of training samples in the learning process which are limited in their capability to deal with multimodality. We propose, in this work, a novel online sparse Gaussian Process (GP) regression model to recover 3-D human motion in monocular videos. Particularly, we investigate the fact that for a given test input, its output is mainly determined by the training samples potentially residing in its local neighborhood and defined in the unified input-output space. This leads to a local mixture GP experts system composed of different local GP experts, each of which dominates a mapping behavior with the specific covariance function adapting to a local region. To handle the multimodality, we combine both temporal and spatial information therefore to obtain two categories of local experts. The temporal and spatial experts are integrated into a seamless hybrid system, which is automatically self-initialized and robust for visual tracking of nonlinear human motion. Learning and inference are extremely efficient as all the local experts are defined online within very small neighborhoods. Extensive experiments on two real-world databases, HumanEva and PEAR, demonstrate the effectiveness of our proposed model, which significantly improve the performance of existing models.

  13. Perceived Interviewer Expertness and Attractiveness: Effects of Interviewer Behavior and Attire and Interview Setting

    Science.gov (United States)

    Kerr, Barbara A.; Dell, Don M.

    1976-01-01

    Students (N=80) rated the interviewers on a counselor rating form. Only counselor role behavior significantly affected students' perceptions of interviewer attractiveness, while perceptions of expertness seemed to have been affected jointly by role and attire. The relative magnitude of expertness as compared to attractiveness ratings was…

  14. Expert System Shells: Tools to Aid Human Performance.

    Science.gov (United States)

    Welsh, Jack R.; Wilson, Brent G.

    1987-01-01

    Examines expert system shells and the role a microcomputer-based expert system can play as an intelligent job aid. Characteristics of traditional and automated job aids techniques are described, and the role of instructional designers in developing expert systems within organizations is discussed. (Author/LRW)

  15. Effects of Certain Counselor Behaviors on Perceived Expertness and Attractiveness.

    Science.gov (United States)

    Barak, Azy; And Others

    1982-01-01

    Examined effects and relative contribution of three counselor behaviors (nonverbal behavior, jargon, and attire) on perceived expertise and attractiveness. Results revealed that all three independent variables significantly affected the two rated dimensions. Nonverbal behavior accounted for most of the variance and differentially affected ratings…

  16. 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.

  17. Microtiming in Swing and Funk affects the body movement behavior of music expert listeners.

    Science.gov (United States)

    Kilchenmann, Lorenz; Senn, Olivier

    2015-01-01

    The theory of Participatory Discrepancies (or PDs) claims that minute temporal asynchronies (microtiming) in music performance are crucial for prompting bodily entrainment in listeners, which is a fundamental effect of the "groove" experience. Previous research has failed to find evidence to support this theory. The present study tested the influence of varying PD magnitudes on the beat-related body movement behavior of music listeners. 160 participants (79 music experts, 81 non-experts) listened to 12 music clips in either Funk or Swing style. These stimuli were based on two audio recordings (one in each style) of expert drum and bass duo performances. In one series of six clips, the PDs were downscaled from their originally performed magnitude to complete quantization in steps of 20%. In another series of six clips, the PDs were upscaled from their original magnitude to double magnitude in steps of 20%. The intensity of the listeners' beat-related head movement was measured using video-based motion capture technology and Fourier analysis. A mixed-design Four-Factor ANOVA showed that the PD manipulations had a significant effect on the expert listeners' entrainment behavior. The experts moved more when listening to stimuli with PDs that were downscaled by 60% compared to completely quantized stimuli. This finding offers partial support for PD theory: PDs of a certain magnitude do augment entrainment in listeners. But the effect was found to be small to moderately sized, and it affected music expert listeners only.

  18. Microtiming in Swing and Funk affects the body movement behavior of music expert listeners

    Science.gov (United States)

    Kilchenmann, Lorenz; Senn, Olivier

    2015-01-01

    The theory of Participatory Discrepancies (or PDs) claims that minute temporal asynchronies (microtiming) in music performance are crucial for prompting bodily entrainment in listeners, which is a fundamental effect of the “groove” experience. Previous research has failed to find evidence to support this theory. The present study tested the influence of varying PD magnitudes on the beat-related body movement behavior of music listeners. 160 participants (79 music experts, 81 non-experts) listened to 12 music clips in either Funk or Swing style. These stimuli were based on two audio recordings (one in each style) of expert drum and bass duo performances. In one series of six clips, the PDs were downscaled from their originally performed magnitude to complete quantization in steps of 20%. In another series of six clips, the PDs were upscaled from their original magnitude to double magnitude in steps of 20%. The intensity of the listeners' beat-related head movement was measured using video-based motion capture technology and Fourier analysis. A mixed-design Four-Factor ANOVA showed that the PD manipulations had a significant effect on the expert listeners' entrainment behavior. The experts moved more when listening to stimuli with PDs that were downscaled by 60% compared to completely quantized stimuli. This finding offers partial support for PD theory: PDs of a certain magnitude do augment entrainment in listeners. But the effect was found to be small to moderately sized, and it affected music expert listeners only. PMID:26347694

  19. Microtiming in Swing and Funk affects the body movement behavior of music expert listeners

    Directory of Open Access Journals (Sweden)

    Lorenz eKilchenmann

    2015-08-01

    Full Text Available The theory of Participatory Discrepancies (or PDs claims that minute temporal asynchronies (microtiming in music performance are crucial for prompting bodily entrainment in listeners, which is a fundamental effect of the groove experience. Previous research has failed to find evidence to support this theory. The present study tested the influence of varying PD magnitudes on the beat-related body movement behavior of music listeners. 160 participants (79 music experts, 81 non-experts listened to twelve music clips in either Funk or Swing style. These stimuli were based on two audio recordings (one in each style of expert drum and bass duo performances. In one series of six clips, the PDs were downscaled from their originally performed magnitude to complete quantization in steps of 20%. In another series of six clips, the PDs were upscaled from their original magnitude to double magnitude in steps of 20%. The intensity of the listeners’ beat-related head movement was measured using video-based motion capture technology and Fourier analysis. A mixed-design four-factor ANOVA showed that the PD manipulations had a significant effect on the expert listeners’ entrainment behavior. The experts moved more when listening to stimuli with PDs that were downscaled by 60% compared to completely quantized stimuli. This finding offers partial support for PD theory: PDs of a certain magnitude do augment entrainment in listeners. But the effect was found to be small to moderately sized, and it affected music expert listeners only.

  20. Computer-Aided Decisions in Human Services: Expert Systems and Multivariate Models.

    Science.gov (United States)

    Sicoly, Fiore

    1989-01-01

    This comparison of two approaches to the development of computerized supports for decision making--expert systems and multivariate models--focuses on computerized systems that assist professionals with tasks related to diagnosis or classification in human services. Validation of both expert systems and statistical models is emphasized. (39…

  1. [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.

  2. [Social engineers--providers--bioethicists. Human genetics experts in West-Germany and Denmark between 1950 and 1990].

    Science.gov (United States)

    Thomaschke, Dirk

    2013-01-01

    The author compares the history of human genetics in the Federal Republic of Germany and Denmark from the 1950s to the 1980s. The paper combines a discourse analysis with the exploration of human genetics experts' subject forms along the lines of current considerations within cultural studies. In the 1950s and 1960s, human geneticists acted in close cooperation with other political, judicial and administrative expert groups. They monitored the 'overall genetic development' of the population and cautioned about 'genetic crises'. Laypersons were supposed to submit to 'objectively reasonable' behavioral patterns--to their own as well as society's benefit. In the 1970s, the experts turned into 'providers' of a 'precise, purely medical, diagnostic service'. The patients mainly appeared as 'de-personalized' sources of a common human demand for 'safe eugenic information'. In the 1980s, the demand and supply paradigm manifested psychological and ethical side effects. Human geneticists became aware of the social and historical interrelations of their research and practices. The results of this study contribute to a more complex understanding of the dominant 'individualization narrative' of human genetics history. In this context, the development in Germany and Denmark displays two complementary forms of a transnational discourse.

  3. Research Workshop on Expert Judgment, Human Error, and Intelligent Systems

    OpenAIRE

    Silverman, Barry G.

    1993-01-01

    This workshop brought together 20 computer scientists, psychologists, and human-computer interaction (HCI) researchers to exchange results and views on human error and judgment bias. Human error is typically studied when operators undertake actions, but judgment bias is an issue in thinking rather than acting. Both topics are generally ignored by the HCI community, which is interested in designs that eliminate human error and bias tendencies. As a result, almost no one at the workshop had met...

  4. 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...

  5. 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...

  6. Verbal Therapeutic Behavior of Expert Psychoanalytically Oriented, Gestalt, and Behavior Therapists.

    Science.gov (United States)

    Brunink, Sharon A.; Schroeder, Harold E.

    1979-01-01

    Findings indicated that expert therapists were similar in their communication of empathy, the basis for their therapeutic relationships. Theoretical orientation, however, differentially influenced use of direct guidance and facilitative techniques, interview content, therapist self-disclosure, therapist initiative, and supportive therapy climate.…

  7. Expert judgment in analysis of human and organizational behaviour at nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Reiman, L. [Finnish Centre for Radiation and Nuclear Safety, Helsinki (Finland). Dept. of Nuclear Safety

    1994-12-01

    Probabilistic safety assessment (PSA) of a nuclear power plant includes an assessment of the probability of each event sequence that can lead to a reactor core damage and of their consequences. Despite increasing maturity of PSA methods, there are still several problems in their use. These include the assessment of human reliability and the impact of organizational factors on plant safety. The assessment of both these issues is based on expert judgment. Therefore, the use of expert judgment in analysis of human and organizational behaviour was studied theoretically and in practical case studies in this thesis. Human errors were analysed in two case studies. In the first study cognitive actions of control room operators were analysed. For this purpose methods were developed for the qualitative and quantitative phases of the analysis. Errors of test and maintenance personnel were analysed in the second case study. Especially the dependence of errors between sequential tasks performed in redundant subsystems of a safety system was studied. A method to assess organizational behaviour was developed and applied in the third case study. The three case studies demonstrated that expert judgment can be used in the analysis of human reliability and organizational behaviour taking into account the observations made and the remarks presented in the study. However, significant uncertainties are related with expert judgment. Recommendations are presented concerning the use of different methods. Also, some insights are presented into how reliance on expert judgment could be reduced. (241 refs., 20 figs., 36 tabs.).

  8. Engaging communication experts in a Delphi process to identify patient behaviors that could enhance communication in medical encounters

    Directory of Open Access Journals (Sweden)

    Stein Terry

    2010-04-01

    Full Text Available Abstract Background The communication literature currently focuses primarily on improving physicians' verbal and non-verbal behaviors during the medical interview. The Four Habits Model is a teaching and research framework for physician communication that is based on evidence linking specific communication behaviors with processes and outcomes of care. The Model conceptualizes basic communication tasks as "Habits" and describes the sequence of physician communication behaviors during the clinical encounter associated with improved outcomes. Using the Four Habits Model as a starting point, we asked communication experts to identify the verbal communication behaviors of patients that are important in outpatient encounters. Methods We conducted a 4-round Delphi process with 17 international experts in communication research, medical education, and health care delivery. All rounds were conducted via the internet. In round 1, experts reviewed a list of proposed patient verbal communication behaviors within the Four Habits Model framework. The proposed patient verbal communication behaviors were identified based on a review of the communication literature. The experts could: approve the proposed list; add new behaviors; or modify behaviors. In rounds 2, 3, and 4, they rated each behavior for its fit (agree or disagree with a particular habit. After each round, we calculated the percent agreement for each behavior and provided these data in the next round. Behaviors receiving more than 70% of experts' votes (either agree or disagree were considered as achieving consensus. Results Of the 14 originally-proposed patient verbal communication behaviors, the experts modified all but 2, and they added 20 behaviors to the Model in round 1. In round 2, they were presented with 59 behaviors and 14 options to remove specific behaviors for rating. After 3 rounds of rating, the experts retained 22 behaviors. This set included behaviors such as asking questions

  9. 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.

  10. Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis.

    Science.gov (United States)

    Chalmers, Eric; Pedrycz, Witold; Lou, Edmond

    2015-03-01

    Brace treatment is the most commonly used nonsurgical treatment for adolescents with idiopathic scoliosis. However, brace treatment is not always successful and the factors influencing its success are not completely clear. This makes treatment outcome difficult to predict. A computer model which can accurately predict treatment outcomes could potentially provide valuable treatment recommendations. This paper describes a fuzzy system that includes a prediction model and a decision support engine. The model was constructed using conditional fuzzy c-means clustering to discover patterns in retrospective patient data. The model's ability to predict treatment outcome was compared to the ability of eight Scoliosis experts. The model and experts each predicted treatment outcome retrospectively for 28 braced patients, and these predictions were compared to the actual outcomes. The model outperformed all but one expert individually and performed similarly to the experts as a group. These results suggest that the fuzzy model is capable of providing meaningful treatment recommendations. This study offers the first model for this application whose performance has been shown to be at or above the human expert level.

  11. Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

    Science.gov (United States)

    Mehmanpazir, Farhad; Asadi, Shahrokh

    2017-07-01

    The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a "data mining-based evolutionary fuzzy expert system" (DEFES) approach to estimate the behavior of stock price. This tool is developed in seven-stage architecture. Data mining is used in three stages to reduce the complexity of the whole data space. The first stage, noise filtering, is used to make our raw data clean and smooth. Variable selection is second stage; we use stepwise regression analysis to choose the key variables been considered in the model. In the third stage, K-means is used to divide the data into sub-populations to decrease the effects of noise and rebate complexity of the patterns. At next stage, extraction of Mamdani type fuzzy rule-based system will be carried out for each cluster by means of genetic algorithm and evolutionary strategy. In the fifth stage, we use binary genetic algorithm to rule filtering to remove the redundant rules in order to solve over learning phenomenon. In the sixth stage, we utilize the genetic tuning process to slightly adjust the shape of the membership functions. Last stage is the testing performance of tool and adjusts parameters. This is the first study on using an approximate fuzzy rule base system and evolutionary strategy with the ability of extracting the whole knowledge base of fuzzy expert system for stock price forecasting problems. The superiority and applicability of DEFES are shown for International Business Machines Corporation and compared the outcome with the results of the other methods. Results with MAPE metric and Wilcoxon signed ranks test indicate that DEFES provides more accuracy and outperforms all previous methods, so it can be considered as a superior tool for

  12. Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

    Science.gov (United States)

    Mehmanpazir, Farhad; Asadi, Shahrokh

    2016-07-01

    The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a "data mining-based evolutionary fuzzy expert system" (DEFES) approach to estimate the behavior of stock price. This tool is developed in seven-stage architecture. Data mining is used in three stages to reduce the complexity of the whole data space. The first stage, noise filtering, is used to make our raw data clean and smooth. Variable selection is second stage; we use stepwise regression analysis to choose the key variables been considered in the model. In the third stage, K-means is used to divide the data into sub-populations to decrease the effects of noise and rebate complexity of the patterns. At next stage, extraction of Mamdani type fuzzy rule-based system will be carried out for each cluster by means of genetic algorithm and evolutionary strategy. In the fifth stage, we use binary genetic algorithm to rule filtering to remove the redundant rules in order to solve over learning phenomenon. In the sixth stage, we utilize the genetic tuning process to slightly adjust the shape of the membership functions. Last stage is the testing performance of tool and adjusts parameters. This is the first study on using an approximate fuzzy rule base system and evolutionary strategy with the ability of extracting the whole knowledge base of fuzzy expert system for stock price forecasting problems. The superiority and applicability of DEFES are shown for International Business Machines Corporation and compared the outcome with the results of the other methods. Results with MAPE metric and Wilcoxon signed ranks test indicate that DEFES provides more accuracy and outperforms all previous methods, so it can be considered as a superior tool for

  13. Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation.

    Directory of Open Access Journals (Sweden)

    Oscar Beijbom

    Full Text Available Global climate change and other anthropogenic stressors have heightened the need to rapidly characterize ecological changes in marine benthic communities across large scales. Digital photography enables rapid collection of survey images to meet this need, but the subsequent image annotation is typically a time consuming, manual task. We investigated the feasibility of using automated point-annotation to expedite cover estimation of the 17 dominant benthic categories from survey-images captured at four Pacific coral reefs. Inter- and intra- annotator variability among six human experts was quantified and compared to semi- and fully- automated annotation methods, which are made available at coralnet.ucsd.edu. Our results indicate high expert agreement for identification of coral genera, but lower agreement for algal functional groups, in particular between turf algae and crustose coralline algae. This indicates the need for unequivocal definitions of algal groups, careful training of multiple annotators, and enhanced imaging technology. Semi-automated annotation, where 50% of the annotation decisions were performed automatically, yielded cover estimate errors comparable to those of the human experts. Furthermore, fully-automated annotation yielded rapid, unbiased cover estimates but with increased variance. These results show that automated annotation can increase spatial coverage and decrease time and financial outlay for image-based reef surveys.

  14. Generating human reliability estimates using expert judgment. Volume 1. Main report

    Energy Technology Data Exchange (ETDEWEB)

    Comer, M.K.; Seaver, D.A.; Stillwell, W.G.; Gaddy, C.D.

    1984-11-01

    The US Nuclear Regulatory Commission is conducting a research program to determine the practicality, acceptability, and usefulness of several different methods for obtaining human reliability data and estimates that can be used in nuclear power plant probabilistic risk assessment (PRA). One method, investigated as part of this overall research program, uses expert judgment to generate human error probability (HEP) estimates and associated uncertainty bounds. The project described in this document evaluated two techniques for using expert judgment: paired comparisons and direct numerical estimation. Volume 1 of this report provides a brief overview of the background of the project, the procedure for using psychological scaling techniques to generate HEP estimates and conclusions from evaluation of the techniques. Results of the evaluation indicate that techniques using expert judgment should be given strong consideration for use in developing HEP estimates. In addition, HEP estimates for 35 tasks related to boiling water reactors (BMRs) were obtained as part of the evaluation. These HEP estimates are also included in the report.

  15. Generating human reliability estimates using expert judgment. Volume 2. Appendices. [PWR; BWR

    Energy Technology Data Exchange (ETDEWEB)

    Comer, M.K.; Seaver, D.A.; Stillwell, W.G.; Gaddy, C.D.

    1984-11-01

    The US Nuclear Regulatory Commission is conducting a research program to determine the practicality, acceptability, and usefulness of several different methods for obtaining human reliability data and estimates that can be used in nuclear power plant probabilistic risk assessments (PRA). One method, investigated as part of this overall research program, uses expert judgment to generate human error probability (HEP) estimates and associated uncertainty bounds. The project described in this document evaluated two techniques for using expert judgment: paired comparisons and direct numerical estimation. Volume 2 provides detailed procedures for using the techniques, detailed descriptions of the analyses performed to evaluate the techniques, and HEP estimates generated as part of this project. The results of the evaluation indicate that techniques using expert judgment should be given strong consideration for use in developing HEP estimates. Judgments were shown to be consistent and to provide HEP estimates with a good degree of convergent validity. Of the two techniques tested, direct numerical estimation appears to be preferable in terms of ease of application and quality of results.

  16. Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation.

    Science.gov (United States)

    Beijbom, Oscar; Edmunds, Peter J; Roelfsema, Chris; Smith, Jennifer; Kline, David I; Neal, Benjamin P; Dunlap, Matthew J; Moriarty, Vincent; Fan, Tung-Yung; Tan, Chih-Jui; Chan, Stephen; Treibitz, Tali; Gamst, Anthony; Mitchell, B Greg; Kriegman, David

    2015-01-01

    Global climate change and other anthropogenic stressors have heightened the need to rapidly characterize ecological changes in marine benthic communities across large scales. Digital photography enables rapid collection of survey images to meet this need, but the subsequent image annotation is typically a time consuming, manual task. We investigated the feasibility of using automated point-annotation to expedite cover estimation of the 17 dominant benthic categories from survey-images captured at four Pacific coral reefs. Inter- and intra- annotator variability among six human experts was quantified and compared to semi- and fully- automated annotation methods, which are made available at coralnet.ucsd.edu. Our results indicate high expert agreement for identification of coral genera, but lower agreement for algal functional groups, in particular between turf algae and crustose coralline algae. This indicates the need for unequivocal definitions of algal groups, careful training of multiple annotators, and enhanced imaging technology. Semi-automated annotation, where 50% of the annotation decisions were performed automatically, yielded cover estimate errors comparable to those of the human experts. Furthermore, fully-automated annotation yielded rapid, unbiased cover estimates but with increased variance. These results show that automated annotation can increase spatial coverage and decrease time and financial outlay for image-based reef surveys.

  17. Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation

    Science.gov (United States)

    Beijbom, Oscar; Edmunds, Peter J.; Roelfsema, Chris; Smith, Jennifer; Kline, David I.; Neal, Benjamin P.; Dunlap, Matthew J.; Moriarty, Vincent; Fan, Tung-Yung; Tan, Chih-Jui; Chan, Stephen; Treibitz, Tali; Gamst, Anthony; Mitchell, B. Greg; Kriegman, David

    2015-01-01

    Global climate change and other anthropogenic stressors have heightened the need to rapidly characterize ecological changes in marine benthic communities across large scales. Digital photography enables rapid collection of survey images to meet this need, but the subsequent image annotation is typically a time consuming, manual task. We investigated the feasibility of using automated point-annotation to expedite cover estimation of the 17 dominant benthic categories from survey-images captured at four Pacific coral reefs. Inter- and intra- annotator variability among six human experts was quantified and compared to semi- and fully- automated annotation methods, which are made available at coralnet.ucsd.edu. Our results indicate high expert agreement for identification of coral genera, but lower agreement for algal functional groups, in particular between turf algae and crustose coralline algae. This indicates the need for unequivocal definitions of algal groups, careful training of multiple annotators, and enhanced imaging technology. Semi-automated annotation, where 50% of the annotation decisions were performed automatically, yielded cover estimate errors comparable to those of the human experts. Furthermore, fully-automated annotation yielded rapid, unbiased cover estimates but with increased variance. These results show that automated annotation can increase spatial coverage and decrease time and financial outlay for image-based reef surveys. PMID:26154157

  18. Comparison expert and novice scan behavior for using e-learning

    Science.gov (United States)

    Novita Sari, Felisia; Insap Santosa, Paulus; Wibirama, Sunu

    2017-06-01

    E-Learning is an important media that an educational institution must have. Successful information design for e-learning depends on its user's characteristics. This study explores differences between novice and expert users' eye movement data. This differences between expert and novice users were compared and identified based on gaze features. Each participant must do three main tasks of e-learning. This paper gives the result that there are differences between gaze features of experts and novices.

  19. Hand preference patterns in expert basketball players: interrelations between basketball-specific and everyday life behavior.

    Science.gov (United States)

    Stöckel, Tino; Vater, Christian

    2014-12-01

    In the present study we examined the interrelation of everyday life handedness and hand preference in basketball, as an area of expertise that requires individuals being proficient with both their non-dominant and dominant hand. A secondary aim was to elucidate the link between basketball-specific practice, hand preference in basketball and everyday life handedness. Therefore, 176 expert basketball players self-reported their hand preference for activities of daily living and for basketball-specific behavior as well as details about their basketball-specific history via questionnaire. We found that compared to the general population the one-hand bias was significantly reduced for both everyday life and basketball-specific hand preference (i.e., a higher prevalence of mixed-handed individuals), and that both concepts were significantly related. Moreover, only preference scores for lay-up and dribbling skills were significantly related to measures of basketball-specific practice. Consequently, training-induced modulations of lateral preference seem to be very specific to only a few basketball-specific skills, and do not generalize to other skills within the domain of basketball nor do they extend into everyday life handedness. The results are discussed in terms of their relevance regarding theories of handedness and their practical implications for the sport of basketball.

  20. 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.

  1. [Expert consensus on induction of human embryonic stem cells into tenocytes].

    Science.gov (United States)

    Chen, Xiao; Zou, Xiaohui; Yu, Guangyan; Fu, Xin; Cao, Tong; Xiao, Yin; Ouyang, Hongwei

    2016-03-01

    Embryonic stem cells have unlimited proliferative capacity, which may provide a source of tendon stem/progenitor cells for tissue engineering. Experts of International Science and Technology Collaborative Program of Ministry of Science and Technology have developed a protocol consensus on differentiation of human embryonic stem cells into the tendon cells. The consensus recommends a protocol of two-step generation of human embryonic stem cells into tendon cells: the human embryonic stem cells are first differentiated into mesenchymal stem cells on different material surfaces; then with the scaffold-free tissue engineering tendon formed by high-density planting, the mesenchymal stem cells are induced into tendon cells under static or dynamic mechanical stimulation in vivo and in vitro. Tissue engineering tendon established in vitro by the protocol can be used as a model in toxicological analysis and safety evaluation of tendon-relevant small molecule compounds, medical materials and drugs.

  2. 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.)

  3. 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.

  4. Expert Seeker

    Science.gov (United States)

    Fernandez, Becerra

    2003-01-01

    Expert Seeker is a computer program of the knowledge-management-system (KMS) type that falls within the category of expertise-locator systems. The main goal of the KMS system implemented by Expert Seeker is to organize and distribute knowledge of who are the domain experts within and without a given institution, company, or other organization. The intent in developing this KMS was to enable the re-use of organizational knowledge and provide a methodology for querying existing information (including structured, semistructured, and unstructured information) in a way that could help identify organizational experts. More specifically, Expert Seeker was developed to make it possible, by use of an intranet, to do any or all of the following: Assist an employee in identifying who has the skills needed for specific projects and to determine whether the experts so identified are available. Assist managers in identifying employees who may need training opportunities. Assist managers in determining what expertise is lost when employees retire or otherwise leave. Facilitate the development of new ways of identifying opportunities for innovation and minimization of duplicated efforts. Assist employees in achieving competitive advantages through the application of knowledge-management concepts and related systems. Assist external organizations in requesting speakers for specific engagements or determining from whom they might be able to request help via electronic mail. Help foster an environment of collaboration for rapid development in today's environment, in which it is increasingly necessary to assemble teams of experts from government, universities, research laboratories, and industries, to quickly solve problems anytime, anywhere. Make experts more visible. Provide a central repository of information about employees, including information that, heretofore, has typically not been captured by the human-resources systems (e.g., information about past projects, patents, or

  5. Neural correlates of natural human echolocation in early and late blind echolocation experts.

    Directory of Open Access Journals (Sweden)

    Lore Thaler

    Full Text Available BACKGROUND: A small number of blind people are adept at echolocating silent objects simply by producing mouth clicks and listening to the returning echoes. Yet the neural architecture underlying this type of aid-free human echolocation has not been investigated. To tackle this question, we recruited echolocation experts, one early- and one late-blind, and measured functional brain activity in each of them while they listened to their own echolocation sounds. RESULTS: When we compared brain activity for sounds that contained both clicks and the returning echoes with brain activity for control sounds that did not contain the echoes, but were otherwise acoustically matched, we found activity in calcarine cortex in both individuals. Importantly, for the same comparison, we did not observe a difference in activity in auditory cortex. In the early-blind, but not the late-blind participant, we also found that the calcarine activity was greater for echoes reflected from surfaces located in contralateral space. Finally, in both individuals, we found activation in middle temporal and nearby cortical regions when they listened to echoes reflected from moving targets. CONCLUSIONS: These findings suggest that processing of click-echoes recruits brain regions typically devoted to vision rather than audition in both early and late blind echolocation experts.

  6. Mouth-clicks used by blind expert human echolocators - signal description and model based signal synthesis.

    Directory of Open Access Journals (Sweden)

    Lore Thaler

    2017-08-01

    Full Text Available Echolocation is the ability to use sound-echoes to infer spatial information about the environment. Some blind people have developed extraordinary proficiency in echolocation using mouth-clicks. The first step of human biosonar is the transmission (mouth click and subsequent reception of the resultant sound through the ear. Existing head-related transfer function (HRTF data bases provide descriptions of reception of the resultant sound. For the current report, we collected a large database of click emissions with three blind people expertly trained in echolocation, which allowed us to perform unprecedented analyses. Specifically, the current report provides the first ever description of the spatial distribution (i.e. beam pattern of human expert echolocation transmissions, as well as spectro-temporal descriptions at a level of detail not available before. Our data show that transmission levels are fairly constant within a 60° cone emanating from the mouth, but levels drop gradually at further angles, more than for speech. In terms of spectro-temporal features, our data show that emissions are consistently very brief (~3ms duration with peak frequencies 2-4kHz, but with energy also at 10kHz. This differs from previous reports of durations 3-15ms and peak frequencies 2-8kHz, which were based on less detailed measurements. Based on our measurements we propose to model transmissions as sum of monotones modulated by a decaying exponential, with angular attenuation by a modified cardioid. We provide model parameters for each echolocator. These results are a step towards developing computational models of human biosonar. For example, in bats, spatial and spectro-temporal features of emissions have been used to derive and test model based hypotheses about behaviour. The data we present here suggest similar research opportunities within the context of human echolocation. Relatedly, the data are a basis to develop synthetic models of human echolocation

  7. Expert judgment on markers to deter inadvertent human intrusion into the Waste Isolation Pilot Plant

    Energy Technology Data Exchange (ETDEWEB)

    Trauth, K.M. [Sandia National Labs., Albuquerque, NM (United States); Hora, S.C. [Hawaii Univ., Hilo, HI (United States); Guzowski, R.V. [Science Applications International Corp., San Diego, CA (United States)

    1993-11-01

    The expert panel identified basic principles to guide current and future marker development efforts: (1) the site must be marked, (2) message(s) must be truthful and informative, (3) multiple components within a marker system, (4) multiple means of communication (e.g., language, pictographs, scientific diagrams), (5) multiple levels of complexity within individual messages on individual marker system elements, (6) use of materials with little recycle value, and (7) international effort to maintain knowledge of the locations and contents of nuclear waste repositories. The efficacy of the markers in deterring inadvertent human intrusion was estimated to decrease with time, with the probability function varying with the mode of intrusion (who is intruding and for what purpose) and the level of technological development of the society. The development of a permanent, passive marker system capable of surviving and remaining interpretable for 10,000 years will require further study prior to implementation.

  8. Characteristics of Successful Teachers of Students with Emotional Behavioral Disabilities: Teacher and Expert Perceptions

    Science.gov (United States)

    Delport, John

    2012-01-01

    This study used a mixed methods design to examine the characteristics--including competencies (i.e., knowledge and skills), and personal attributes--of successful teachers of students with E/BD. The characteristics were examined through the perceptions of teachers of students with E/BD (teachers who are expert in E/BD, n = 14, MEd Graduates…

  9. In search of reflective behavior and shared understanding in ad hoc expert teams

    NARCIS (Netherlands)

    Mulder, Ingrid; Swaak, Janine; Kessels, Joseph

    2004-01-01

    The work reported on here concentrates on virtual ad hoc expert teams for the integration of learning and working, as ad hoc teams seem to be one way to cope with complexity in a knowledge-intensive society. In order to let ad hoc teams learn and work together, group members require effective

  10. 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)

  11. Procedures for using expert judgment to estimate human-error probabilities in nuclear power plant operations. [PWR; BWR

    Energy Technology Data Exchange (ETDEWEB)

    Seaver, D.A.; Stillwell, W.G.

    1983-03-01

    This report describes and evaluates several procedures for using expert judgment to estimate human-error probabilities (HEPs) in nuclear power plant operations. These HEPs are currently needed for several purposes, particularly for probabilistic risk assessments. Data do not exist for estimating these HEPs, so expert judgment can provide these estimates in a timely manner. Five judgmental procedures are described here: paired comparisons, ranking and rating, direct numerical estimation, indirect numerical estimation and multiattribute utility measurement. These procedures are evaluated in terms of several criteria: quality of judgments, difficulty of data collection, empirical support, acceptability, theoretical justification, and data processing. Situational constraints such as the number of experts available, the number of HEPs to be estimated, the time available, the location of the experts, and the resources available are discussed in regard to their implications for selecting a procedure for use.

  12. 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...

  13. Speech spectrogram expert

    Energy Technology Data Exchange (ETDEWEB)

    Johannsen, J.; Macallister, J.; Michalek, T.; Ross, S.

    1983-01-01

    Various authors have pointed out that humans can become quite adept at deriving phonetic transcriptions from speech spectrograms (as good as 90percent accuracy at the phoneme level). The authors describe an expert system which attempts to simulate this performance. The speech spectrogram expert (spex) is actually a society made up of three experts: a 2-dimensional vision expert, an acoustic-phonetic expert, and a phonetics expert. The visual reasoning expert finds important visual features of the spectrogram. The acoustic-phonetic expert reasons about how visual features relates to phonemes, and about how phonemes change visually in different contexts. The phonetics expert reasons about allowable phoneme sequences and transformations, and deduces an english spelling for phoneme strings. The speech spectrogram expert is highly interactive, allowing users to investigate hypotheses and edit rules. 10 references.

  14. Rebooting the human mitochondrial phylogeny: an automated and scalable methodology with expert knowledge

    Directory of Open Access Journals (Sweden)

    Mayordomo Elvira

    2011-05-01

    Full Text Available Abstract Background Mitochondrial DNA is an ideal source of information to conduct evolutionary and phylogenetic studies due to its extraordinary properties and abundance. Many insights can be gained from these, including but not limited to screening genetic variation to identify potentially deleterious mutations. However, such advances require efficient solutions to very difficult computational problems, a need that is hampered by the very plenty of data that confers strength to the analysis. Results We develop a systematic, automated methodology to overcome these difficulties, building from readily available, public sequence databases to high-quality alignments and phylogenetic trees. Within each stage in an autonomous workflow, outputs are carefully evaluated and outlier detection rules defined to integrate expert knowledge and automated curation, hence avoiding the manual bottleneck found in past approaches to the problem. Using these techniques, we have performed exhaustive updates to the human mitochondrial phylogeny, illustrating the power and computational scalability of our approach, and we have conducted some initial analyses on the resulting phylogenies. Conclusions The problem at hand demands careful definition of inputs and adequate algorithmic treatment for its solutions to be realistic and useful. It is possible to define formal rules to address the former requirement by refining inputs directly and through their combination as outputs, and the latter are also of help to ascertain the performance of chosen algorithms. Rules can exploit known or inferred properties of datasets to simplify inputs through partitioning, therefore cutting computational costs and affording work on rapidly growing, otherwise intractable datasets. Although expert guidance may be necessary to assist the learning process, low-risk results can be fully automated and have proved themselves convenient and valuable.

  15. 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.

  16. 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…

  17. 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.

  18. 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)

  19. 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)

  20. 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)

  1. Differential typology and prognosis for dissexual behavior--a follow-up study of previously expert-appraised child molesters.

    Science.gov (United States)

    Beier, K M

    1998-01-01

    In terms of identifying socially-dysfunctional forms of sexuality--regardless of the legal valuation--dissexuality is defined as "an expression of social failure in sexual behavior." This failure was the subject of a longitudinal analysis of 186 expert-appraised pedophile sexual delinquents at the University of Kiel from 1945 through 1981. Of the child molesters 121 were followed up between September 1990 and September 1992 and 100 were personally contacted. The goal was to empirically develop prognosis criteria, given knowledge of the former delinquents' social development as well as sexual/dissexual practices, which could be of both forensic and interdisciplinary use. Among the bi- and homosexually-orientated pedophiles, the number of offenders for which the act is one of "compensation" was half of the initial collective. In contrast, this number was three-quarters for the heterosexually-orientated perpetrators. Correspondingly, the other half of the bi- and homosexually-orientated pedophiles were either exclusive-type or non-exclusive-type pedophiles (the so-called "true" pedophiles). Among the heterosexually-orientated offenders, the number was only one-quarter. According to the empirical data, we may expect a biographically continuing potential of dissexual behavior for only the exclusive and the non-exclusive type of pedophilia. Most of the relapsed dissexual activities showed up a long time after the expert's report. This is true for both the heterosexually- and the bi- and homosexually orientated groups. The present evaluation of the results allows assignment of behavior for certain delinquent typologies restricted to life phases or lifelong dissexual behavior.

  2. 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...

  3. 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

  4. 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.

  5. MERS-CoV at the Animal-Human interface: inputs on exposure pathways from an Expert-Opinion elicitation

    Directory of Open Access Journals (Sweden)

    Anna Funk

    2016-10-01

    Full Text Available Nearly four years after the first report of the emergence of Middle-East respiratory syndrome Coronavirus (MERS-CoV and nearly 1800 human cases later, the ecology of MERS-CoV, its epidemiology, and risk factors of MERS-CoV transmission between camels are poorly understood. Knowledge about the pathways and mechanisms of transmission from animals to humans is limited; as of yet, transmission risks have not been quantified. Moreover the divergent sanitary situations and exposures to animals among populations in the Arabian Peninsula, where human primary cases appear to dominate, vs. other regions in the Middle East and Africa, with no reported human clinical cases and where the virus has been detected only in dromedaries, represents huge scientific and health challenges. Here, we have used expert opinion elicitation in order to obtain ideas on relative importance of MERS-CoV risk factors and estimates of transmission risks from various types of contact between humans and dromedaries. Fourteen (14 experts with diverse and extensive experience in MERS-CoV relevant fields were enrolled and completed an online questionnaire that examined pathways based on several scenarios e.g. camels-camels, camels-human, bats/other species to camels/humans and the role of diverse biological substances (milk, urine etc. and potential fomites.Experts believed that dromedary camels play the largest role in MERS-CoV infection of other dromedaries; however, they also indicated a significant influence of the season (i.e. calving or weaning periods on transmission risk. All experts thought that MERS-CoV infected dromedaries and asymptomatic humans play the most important role in infection of humans, with bats and other species presenting a possible, but yet undefined, risk. Direct and indirect contact of humans with dromedary camels were identified as the most risky types of contact, when compared to consumption of various camel products, with estimated 'most

  6. 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...

  7. Social Work Expert Testimony Regarding Mitigation in Capital Sentencing Proceedings.

    Science.gov (United States)

    Andrews, Arlene Bowers

    1991-01-01

    Notes that, during sentencing phase of capital trial, social worker can have potentially powerful influence on proceedings by presenting comprehensive, reliable social history, and expert opinion based on accepted theory and research regarding human behavior in social environment. Reviews social worker's role as expert witness, ethical issues,…

  8. 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.

  9. PedExpert: a computer program for the application of Bayesian networks to human paternity testing.

    Science.gov (United States)

    Gomes, R R; Campos, S V A; Pena, S D J

    2009-01-01

    PedExpert is a Windows-based Bayesian network software, especially constructed to solve problems in parentage testing that are complex because of missing genetic information on the alleged father and/or because they involve genetic mutations. PedExpert automates the creation and manipulation of Bayesian networks, implementing algorithms that convert pedigrees and sets of indispensable information (genotypes, allele frequencies, mutation rates) into Bayesian networks. This program has a novel feature that can incorporate information about gene mutations into tables of conditional probabilities of transmission of alleles from the alleged father to the child, without adding new nodes to the network. This permits using the same Bayesian network in different modes, for analysis of cases that include mutations or not. PedExpert is user-friendly and greatly reduces the time of analysis for complex cases of paternity testing, eliminating most sources of logical and operational error.

  10. 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.

  11. 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.

  12. 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.

  13. Expert witness and Jungian archetypes.

    Science.gov (United States)

    Lallave, Juan Antonio; Gutheil, Thomas Gordon

    2012-01-01

    Jung's theories of archetype, shadow, and the personal and collective unconscious provide a postmodern framework in which to consider the role of the expert witness in judicial proceedings. Archetypal themes, motifs, and influences help to illuminate the shadow of the judicial system and projections and behaviors among the cast of the court in pursuing justice. This article speaks to archetypal influences and dialectical tensions encountered by the expert witness in this judicial drama. The archetype of Justice is born from the human need for order and relational fairness in a world of chaos. The persona of justice is the promise of truth in the drama. The shadow of justice is untruth, the need to win by any means. The dynamics of the trickster archetype serve and promote injustice. These influences are examined by means of a case example. This approach will deepen understanding of court proceedings and the role of the expert witness in the heroic quest for justice.

  14. Structural visualization of expert nursing: Hemodialysis patient education program "behavior modification program for hemodialysis patients".

    Science.gov (United States)

    Oka, Michiyo; Kamiya, Chizuru; Sagawa, Mieko; Yamana, Eiko; Tsuru, Satoko

    2006-01-01

    Behavior modification programs (BMP) have been suggested to be useful for the self-management of hemodialysis (HD) patients. To provide more systematic care, we structured the procedure of the thinking process and care in BMPs as an algorithm. BMP developers produced a temporary algorithm based on previous studies, discussed it with nurses with BMP experience, and added and revised necessary items. As a result, an algorithm of BMP with high reproducibility that allows maintenance of consistent quality for the self-management of HD patients could be developed.

  15. 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

  16. Technology Acceptance Model (TAM As a Predictor Model for Explaining Agricultural Experts Behavior in Acceptance of ICT

    Directory of Open Access Journals (Sweden)

    Amir Alambaigi

    2016-06-01

    Full Text Available This study aimed to develop Technology Acceptance Model (TAM model to explain adoption of information technologies process. a Descriptive – correlation study was conducted and data were collected through a survey. Statistical population was West Azerbaijan Agricultural Extension agents who 120 of them were selected randomly using the Krejcie and Morgan table. A questionnaire was employed to measure the variables in the model. Its validity was confirmed by a panel of experts. The Cronbach's alpha coefficient ranged between from 0.704 to 0.816 show satisfied reliability. For data processing, partial leastsquares (PLS method as a new approach to structural equation modeling was used. The results showed that among three variables for development oftechnology acceptance model including Job relevance, experience and organization willingness to invest, the first and second show significant effects.Thus,Job relevance and experience as an external variable was added to the basic TAM. Other relations between variablesin basic technology acceptance model in current study were also seen significant. Our developed TAM can explain 64% of the actual behavior of employee in information technology utilization. TAM is one of the most influential extensions of Ajzen and Fishbein’s theory of reasoned action (TRA in the literature. The theories behind it assume that when a person forms an intention to act, that s/he will be free to act without limitation. While In the real world there will be many constraints, such as limited freedom to act. For example, people in organized working environments are forced to use most of the relevant applications irrespective of their opinion or attitude. In this research mentioned model was used as a strong model to predict actual use behavior that affected by three variables namely Job relevance, experience and organization willingness to invest.

  17. 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...

  18. 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.

  19. 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.

  20. 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...

  1. Expert System Design Aid for Applications of Human Factors in Robotics.

    Science.gov (United States)

    1986-06-12

    Publishers B.V., Amsterdam, 1984. Parsons, H.M., ERGONOMIE ET ROBOTIQUE (Human Factors and Robotics), Paper presented at The International Conference on...Amsterdam, 1984. Parsons, H.M., ERGONOMIE ET ROBOTIQUE (Human Factors and Robotics), Paper presented at The International Conference on Occupational

  2. 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.

  3. 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...

  4. Expert System

    DEFF Research Database (Denmark)

    Hildebrandt, Thomas Troels; Cattani, Gian Luca

    2016-01-01

    An expert system is a computer system for inferring knowledge from a knowledge base, typically by using a set of inference rules. When the concept of expert systems was introduced at Stanford University in the early 1970s, the knowledge base was an unstructured set of facts. Today the knowledge...... base of expert systems is often given in terms of an ontology, extracted and built from various data sources by employing natural language-processing and statistics. To emphasize such capabilities, the term “expert” is now often replaced by “cognitive,” “knowledge,” “knowledge-based,” or “intelligent......” system. With very few exceptions, general-purpose expert systems have failed to emerge so far. However, expert systems are applied in specialized domains, particularly in healthcare. The increasing availability of large quantities of data to organizations today provides a valuable opportunity...

  5. 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…

  6. 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.

  7. Expert Systems and Special Education.

    Science.gov (United States)

    Hofmeister, Alan M.; Ferrara, Joseph M.

    1986-01-01

    The article discusses the characteristics of expert systems (computer programs designed to replicate human expertise in a variety of areas), describes recently available expert system development tools, suggests applications within the field of special education, and reviews recent efforts to apply expert systems technology to special education…

  8. inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.

    Science.gov (United States)

    Taminau, Jonatan; Steenhoff, David; Coletta, Alain; Meganck, Stijn; Lazar, Cosmin; de Schaetzen, Virginie; Duque, Robin; Molter, Colin; Bersini, Hugues; Nowé, Ann; Weiss Solís, David Y

    2011-11-15

    Microarray technology has become an integral part of biomedical research and increasing amounts of datasets become available through public repositories. However, re-use of these datasets is severely hindered by unstructured, missing or incorrect biological samples information; as well as the wide variety of preprocessing methods in use. The inSilicoDb R/Bioconductor package is a command-line front-end to the InSilico DB, a web-based database currently containing 86 104 expert-curated human Affymetrix expression profiles compiled from 1937 GEO repository series. The use of this package builds on the Bioconductor project's focus on reproducibility by enabling a clear workflow in which not only analysis, but also the retrieval of verified data is supported.

  9. 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

  10. Matching simulated antemortem and post-mortem dental radiographs from human skulls by dental students and experts: testing skills for pattern recognition.

    Science.gov (United States)

    Wenzel, A; Richards, A; Heidmann, J

    2010-12-01

    The aim of this study was to evaluate the ability of undergraduate dental students to match simulated ante- and post-mortem radiographs in human skulls with experts as controls for the 1)number of post-mortem images needed for a match, 2)accuracy of the matches, and 3)time spent for a match. A film bitewing was recorded in each side of 51 dentate dry human skulls (a.m.-images) and digital images of the teeth were recorded using a sensor (p.m.-images). 102 correctly matching and 102 non-matching image pairs were constructed. Ten students and three experts scored the image pairs as: certain match, certain non-match, or uncertain. None of the experts but half of the students made false positive scores. Half of the students performed just as accurately as the experts. All students (except one who made 8 FPs) asked for more p.m.-images than did the experts before deciding on a match, however, all students, but one, also spent less time per image pair than did the experts before deciding on a match (Ppattern recognition and thus help in the decision on who might be included as part of a forensic dental team when extra help is needed.

  11. Action and familiarity effects on self and other expert musicians’ Laban effort-shape analyses of expressive bodily behaviors in instrumental music performance: A case study approach

    Directory of Open Access Journals (Sweden)

    Mary C Broughton

    2014-10-01

    Full Text Available Self-reflective performance review and expert evaluation are features of Western music performance practice. While music is usually the focus, visual information provided by performing musicians’ expressive bodily behaviors communicates expressiveness to musically trained and untrained observers. Yet, within a seemingly homogenous group such as one of musically trained individuals, diversity of experience exists. Individual differences potentially affect perception of the subtleties of expressive performance, and performers’ effective communication of their expressive intentions. This study aimed to compare self- and other expert musicians’ perception of expressive bodily behaviors observed in marimba performance. We hypothesised that analyses of expressive expressive bodily behaviors differ between expert musicians according to their specialist motor expertise and familiarity with the music. Two professional percussionists and experienced marimba players, and one professional classical singer took part in the study. Participants independently conducted Laban effort-shape analysis – proposing that intentions manifest in bodily activity are understood through shared embodied processes – of a marimbists’ expressive bodily behaviors in an audio-visual performance recording. For one percussionist, this was a self-reflective analysis. The work was unfamiliar to the other percussionist and singer. Perception of the performer’s expressive bodily behaviors differed according to participants’ individual instrumental or vocal motor expertise, and familiarity with the music. Furthermore, individual type of motor experience appeared to direct participants’ attention in approaching the analyses. Findings support forward and inverse perception-action models, and embodied cognitive theory. Implications offer scientific rigour and artistic interest for how performance practitioners can reflectively analyze performance to improve expressive

  12. Action and familiarity effects on self and other expert musicians' Laban effort-shape analyses of expressive bodily behaviors in instrumental music performance: a case study approach.

    Science.gov (United States)

    Broughton, Mary C; Davidson, Jane W

    2014-01-01

    Self-reflective performance review and expert evaluation are features of Western music performance practice. While music is usually the focus, visual information provided by performing musicians' expressive bodily behaviors communicates expressiveness to musically trained and untrained observers. Yet, within a seemingly homogenous group, such as one of musically trained individuals, diversity of experience exists. Individual differences potentially affect perception of the subtleties of expressive performance, and performers' effective communication of their expressive intentions. This study aimed to compare self- and other expert musicians' perception of expressive bodily behaviors observed in marimba performance. We hypothesized that analyses of expressive bodily behaviors differ between expert musicians according to their specialist motor expertise and familiarity with the music. Two professional percussionists and experienced marimba players, and one professional classical singer took part in the study. Participants independently conducted Laban effort-shape analysis - proposing that intentions manifest in bodily activity are understood through shared embodied processes - of a marimbists' expressive bodily behaviors in an audio-visual performance recording. For one percussionist, this was a self-reflective analysis. The work was unfamiliar to the other percussionist and singer. Perception of the performer's expressive bodily behaviors appeared to differ according to participants' individual instrumental or vocal motor expertise, and familiarity with the music. Furthermore, individual type of motor experience appeared to direct participants' attention in approaching the analyses. Findings support forward and inverse perception-action models, and embodied cognitive theory. Implications offer scientific rigor and artistic interest for how performance practitioners can reflectively analyze performance to improve expressive communication.

  13. Action and familiarity effects on self and other expert musicians’ Laban effort-shape analyses of expressive bodily behaviors in instrumental music performance: a case study approach

    Science.gov (United States)

    Broughton, Mary C.; Davidson, Jane W.

    2014-01-01

    Self-reflective performance review and expert evaluation are features of Western music performance practice. While music is usually the focus, visual information provided by performing musicians’ expressive bodily behaviors communicates expressiveness to musically trained and untrained observers. Yet, within a seemingly homogenous group, such as one of musically trained individuals, diversity of experience exists. Individual differences potentially affect perception of the subtleties of expressive performance, and performers’ effective communication of their expressive intentions. This study aimed to compare self- and other expert musicians’ perception of expressive bodily behaviors observed in marimba performance. We hypothesized that analyses of expressive bodily behaviors differ between expert musicians according to their specialist motor expertise and familiarity with the music. Two professional percussionists and experienced marimba players, and one professional classical singer took part in the study. Participants independently conducted Laban effort-shape analysis – proposing that intentions manifest in bodily activity are understood through shared embodied processes – of a marimbists’ expressive bodily behaviors in an audio-visual performance recording. For one percussionist, this was a self-reflective analysis. The work was unfamiliar to the other percussionist and singer. Perception of the performer’s expressive bodily behaviors appeared to differ according to participants’ individual instrumental or vocal motor expertise, and familiarity with the music. Furthermore, individual type of motor experience appeared to direct participants’ attention in approaching the analyses. Findings support forward and inverse perception–action models, and embodied cognitive theory. Implications offer scientific rigor and artistic interest for how performance practitioners can reflectively analyze performance to improve expressive communication. PMID

  14. The impact of human-technology cooperation and distributed cognition in forensic science: biasing effects of AFIS contextual information on human experts.

    Science.gov (United States)

    Dror, Itiel E; Wertheim, Kasey; Fraser-Mackenzie, Peter; Walajtys, Jeff

    2012-03-01

    Experts play a critical role in forensic decision making, even when cognition is offloaded and distributed between human and machine. In this paper, we investigated the impact of using Automated Fingerprint Identification Systems (AFIS) on human decision makers. We provided 3680 AFIS lists (a total of 55,200 comparisons) to 23 latent fingerprint examiners as part of their normal casework. We manipulated the position of the matching print in the AFIS list. The data showed that latent fingerprint examiners were affected by the position of the matching print in terms of false exclusions and false inconclusives. Furthermore, the data showed that false identification errors were more likely at the top of the list and that such errors occurred even when the correct match was present further down the list. These effects need to be studied and considered carefully, so as to optimize human decision making when using technologies such as AFIS.

  15. Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks.

    Science.gov (United States)

    Hu, Ting; Darabos, Christian; Cricco, Maria E; Kong, Emily; Moore, Jason H

    2015-01-01

    The large volume of GWAS data poses great computational challenges for analyzing genetic interactions associated with common human diseases. We propose a computational framework for characterizing epistatic interactions among large sets of genetic attributes in GWAS data. We build the human phenotype network (HPN) and focus around a disease of interest. In this study, we use the GLAUGEN glaucoma GWAS dataset and apply the HPN as a biological knowledge-based filter to prioritize genetic variants. Then, we use the statistical epistasis network (SEN) to identify a significant connected network of pairwise epistatic interactions among the prioritized SNPs. These clearly highlight the complex genetic basis of glaucoma. Furthermore, we identify key SNPs by quantifying structural network characteristics. Through functional annotation of these key SNPs using Biofilter, a software accessing multiple publicly available human genetic data sources, we find supporting biomedical evidences linking glaucoma to an array of genetic diseases, proving our concept. We conclude by suggesting hypotheses for a better understanding of the disease.

  16. 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.

  17. Brain Mechanisms of Persuasion: How "Expert Power" Modulates Memory and Attitudes

    NARCIS (Netherlands)

    V. Klucharev (Vasily); A. Smidts (Ale); G. Fernández (Guillén)

    2008-01-01

    textabstractHuman behavior is affected by various forms of persuasion. The general persuasive effect of high expertise of the communicator, often referred to as "expert power", is well documented. We found that a single exposure to a combination of an expert and an object leads to a long-lasting pos

  18. 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...

  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. Expert Systems: What Is an Expert System?

    Science.gov (United States)

    Duval, Beverly K.; Main, Linda

    1994-01-01

    Describes expert systems and discusses their use in libraries. Highlights include parts of an expert system; expert system shells; an example of how to build an expert system; a bibliography of 34 sources of information on expert systems in libraries; and a list of 10 expert system shells used in libraries. (Contains five references.) (LRW)

  1. Expert Systems: What Is an Expert System?

    Science.gov (United States)

    Duval, Beverly K.; Main, Linda

    1994-01-01

    Describes expert systems and discusses their use in libraries. Highlights include parts of an expert system; expert system shells; an example of how to build an expert system; a bibliography of 34 sources of information on expert systems in libraries; and a list of 10 expert system shells used in libraries. (Contains five references.) (LRW)

  2. 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.

  3. The Research on Knowledge Inheritance Behavior of Old TCM Experts Based on the Theory of Planned Behavior%基于计划行为理论的名老中医知识传承的行为研究

    Institute of Scientific and Technical Information of China (English)

    汤少梁; 倪杰

    2012-01-01

    通过计划行为理论,探讨名老中医知识传承行为的影响机理.认为名老中医的知识垄断的心理、医院归属感以及自身传授能力等因素,会影响其传承意愿,从而间接影响其知识传承行为.提出应从建立激励机制、医院文化和政府扶持3个方面激励名老中医进行知识传承.%The paper explores the influences of old TCM Experts inherited behavior by the theory of planned behavior. It considers the factors including knowledge monopolization psychology, the sense of belonging in hospital, the ability to teach can indirectly influence the inherited behavior of old TCM Experts by inheritance intention. At last the research considers to promote the old TCM Expert's knowledge inheritance by establishing an incentive mechanism, the hospital culture and government support.

  4. ExpertFOAF recommends experts

    DEFF Research Database (Denmark)

    Iofcu, Tereza; Diederich, Joerg; Dolog, Peter

    2007-01-01

    the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed...

  5. Expert Systems Research.

    Science.gov (United States)

    Duda, Richard O.; Shortliffe, Edward H.

    1983-01-01

    Discusses a class of artificial intelligence computer programs (often called "expert systems" because they address problems normally thought to require human specialists for their solution) intended to serve as consultants for decision making. Also discusses accomplishments (including information systematization in medical diagnosis and…

  6. Decision-making behavior of experts at nuclear power plants. Regulatory focus influence on cognitive heuristics; Entscheidungsverhalten von Experten in Kernkraftwerken. Der Einfluss des regulatorischen Fokus auf kognitive Heuristiken

    Energy Technology Data Exchange (ETDEWEB)

    Beck, Johannes

    2015-09-15

    The goal of this research project was to examine factors, on the basis of regulatory focus theory and the heuristics and biases approach, that influence decision-making processes of experts at nuclear power plants. Findings show that this group applies anchoring (heuristic) when evaluating conjunctive and disjunctive events and that they maintain a constant regulatory focus characteristic. No influence of the experts' characteristic regulatory focus on cognitive heuristics could be established. Theoretical and practical consequences on decision-making behavior of experts are presented. Finally, a method for measuring the use of heuristics especially in the nuclear industry is discussed.

  7. An evaluation of an expert system for detecting critical events during anesthesia in a human patient simulator: a prospective randomized controlled study.

    Science.gov (United States)

    Görges, Matthias; Winton, Pamela; Koval, Valentyna; Lim, Joanne; Stinson, Jonathan; Choi, Peter T; Schwarz, Stephan K W; Dumont, Guy A; Ansermino, J Mark

    2013-08-01

    Perioperative monitoring systems produce a large amount of uninterpreted data, use threshold alarms prone to artifacts, and rely on the clinician to continuously visually track changes in physiological data. To address these deficiencies, we developed an expert system that provides real-time clinical decisions for the identification of critical events. We evaluated the efficacy of the expert system for enhancing critical event detection in a simulated environment. We hypothesized that anesthesiologists would identify critical ventilatory events more rapidly and accurately with the expert system. We used a high-fidelity human patient simulator to simulate an operating room environment. Participants managed 4 scenarios (anesthetic vapor overdose, tension pneumothorax, anaphylaxis, and endotracheal tube cuff leak) in random order. In 2 of their 4 scenarios, participants were randomly assigned to the expert system, which provided trend-based alerts and potential differential diagnoses. Time to detection and time to treatment were measured. Workload questionnaires and structured debriefings were completed after each scenario, and a usability questionnaire at the conclusion of the session. Data were analyzed using a mixed-effects linear regression model; Fisher exact test was used for workload scores. Twenty anesthesiology trainees and 15 staff anesthesiologists with a combined median (range) of 36 (29-66) years of age and 6 (1-38) years of anesthesia experience participated. For the endotracheal tube cuff leak, the expert system caused mean reductions of 128 (99% confidence interval [CI], 54-202) seconds in time to detection and 140 (99% CI, 79-200) seconds in time to treatment. In the other 3 scenarios, a best-case decrease of 97 seconds (lower 99% CI) in time to diagnosis for anaphylaxis and a worst-case increase of 63 seconds (upper 99% CI) in time to treatment for anesthetic vapor overdose were found. Participants were highly satisfied with the expert system (median

  8. Expert music performance: cognitive, neural, and developmental bases.

    Science.gov (United States)

    Brown, Rachel M; Zatorre, Robert J; Penhune, Virginia B

    2015-01-01

    In this chapter, we explore what happens in the brain of an expert musician during performance. Understanding expert music performance is interesting to cognitive neuroscientists not only because it tests the limits of human memory and movement, but also because studying expert musicianship can help us understand skilled human behavior in general. In this chapter, we outline important facets of our current understanding of the cognitive and neural basis for music performance, and developmental factors that may underlie musical ability. We address three main questions. (1) What is expert performance? (2) How do musicians achieve expert-level performance? (3) How does expert performance come about? We address the first question by describing musicians' ability to remember, plan, execute, and monitor their performances in order to perform music accurately and expressively. We address the second question by reviewing evidence for possible cognitive and neural mechanisms that may underlie or contribute to expert music performance, including the integration of sound and movement, feedforward and feedback motor control processes, expectancy, and imagery. We further discuss how neural circuits in auditory, motor, parietal, subcortical, and frontal cortex all contribute to different facets of musical expertise. Finally, we address the third question by reviewing evidence for the heritability of musical expertise and for how expertise develops through training and practice. We end by discussing outlooks for future work.

  9. 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,…

  10. 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.

  11. Drugs for behavior disorders after traumatic brain injury: Systematic review and expert consensus leading to French recommendations for good practice.

    Science.gov (United States)

    Plantier, D; Luauté, J

    2016-02-01

    There are no handbook or recommendations for the use of pharmacological agents to treat neurobehavioral disorders after traumatic brain injury (TBI). This work proposes a systematic review of the literature and a user guide on neuroleptics, antidepressants, beta-blockers, mood stabilizers and other medications for irritability, aggressiveness, agitation, impulsivity, depression, apathy… Steering, working and reading groups (62 people) were formed under the control of the French High Authority for Health (HAS) in collaboration with the SOFMER scientific society (French Society of Physical and Rehabilitation Medicine). Articles were searched by HAS officers in the Medline database from 1990 to 2012, crossing TBI and pharmacological agents. The HAS method to select, read and analyze papers is close to the PRISMA statements. Out of 772 references, 89 were analyzed, covering a total of 1306 people with TBI. There is insufficient evidence to standardize drug treatments for these disorders. There are however some elements to establish consensus recommendations for good clinical practice. Propranolol can improve aggression (B grade). Carbamazepine and valproate seem effective on agitation and aggression and are recommended as first line treatment (Expert Consensus [EC]). There is no evidence of efficacy for neuroleptics. Their prescription is based on emergency situation for a crisis (loxapine) but not for long-term use (EC). Antidepressants are recommended to treat depression (EC) with a higher standard of proof for Selective Serotonin Reuptake Inhibitors (SSRI, grade B). Other products are described. The choice of treatment depends on the level of evidence, target symptoms, custom objectives, clinical experience and caution strategies. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  12. 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.

  13. 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.

  14. Evaluating Econometric Models and Expert Intuition

    NARCIS (Netherlands)

    R. Legerstee (Rianne)

    2012-01-01

    textabstractThis thesis is about forecasting situations which involve econometric models and expert intuition. The first three chapters are about what it is that experts do when they adjust statistical model forecasts and what might improve that adjustment behavior. It is investigated how expert for

  15. 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.

  16. 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.

  17. 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...

  18. 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

  19. 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

  20. The role of human-at-work systems in business sustainability: perspectives based on expert and qualified production workers in a manufacturing enterprise.

    Science.gov (United States)

    Genaidy, Ash M; Rinder, Maria M; Sequeira, Reynold; A-Rehim, Amal

    2010-04-01

    and enterprise levels, in terms of organisational/social/technological environment. This is particularly noted for the organisational environment. The compatibility values obtained for the experienced domains mirror those obtained for acting domains. The overall workload was assessed as requiring major redesign during the day shift and needing added responsibilities for the night shift according to both expert and qualified workers. The assessment of qualified workers is comparable with that of expert workers for the job content and immediate surroundings. Differences are more observed for process- and enterprise-based factors; thereby, providing company management different perspectives in order to devise organisational strategies conducive for optimum human and corporate health and pointing to the probable interactions of the different systems impacting individual and enterprise performance. STATEMENT OF RELEVANCE: This research examines similarities and differences between qualified and expert workers in their assessment of the worker-work environment interface. The contribution to improved understanding of the complex interactions of human-at-work and enterprise systems should be beneficial to organisations in their quest to remain competitive in a global economy.

  1. 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

  2. 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…

  3. 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...

  4. 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

  5. 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...

  6. 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

  7. 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.

  8. Interpretation of p16(INK4a) /Ki-67 dual immunostaining for the triage of human papillomavirus-positive women by experts and nonexperts in cervical cytology.

    Science.gov (United States)

    Allia, Elena; Ronco, Guglielmo; Coccia, Anna; Luparia, Patrizia; Macrì, Luigia; Fiorito, Corinna; Maletta, Francesca; Deambrogio, Cristina; Tunesi, Sara; De Marco, Laura; Gillio-Tos, Anna; Sapino, Anna; Ghiringhello, Bruno

    2015-04-01

    The triage of human papillomavirus (HPV)-positive women is needed to avoid overreferral to colposcopy. p16(INK4a) immunostaining is an efficient triage method. p16(INK4a) /Ki-67 dual staining was introduced mainly to increase reproducibility and specificity compared with stand-alone p16(INK4a) staining. Within a pilot project, HPV-positive women were referred to colposcopy if cytology was abnormal or unsatisfactory or HPV testing was still positive after 1 year. For 500 consecutive women, a slide obtained during colposcopy was immunostained for p16(INK4a) /Ki-67 and independently interpreted by 7 readers without previous experience with dual staining. Four of these readers were experts in cervical pathology and 3 were not. Kappa values for multiple raters, sensitivity, and specificity for cervical intraepithelial neoplasia type 2-positive histology were computed. Because women with normal cytology were underrepresented, estimates for all HPV-positive women were obtained as weighted means of cytology-specific estimates. The overall kappa for HPV-positive women was 0.70 (95% confidence interval [95% CI], 0.60-0.77). Kappa values were not found to be significantly different between expert and nonexpert readers with regard to cervical cytology but were significantly increased (P =. 0066) after consensus discussion. The overall specificity estimate for HPV-positive women was 64.0% (95% CI, 57.4%-70.2%): 66.7% (95% CI, 59.8%-73.0%) for experts and 60.5% (95% CI, 59.8%-73.0%) for nonexperts. Among women with abnormal cytology, the sensitivity was 85.5% (95% CI, 77.9%-90.8%): 85.8% (95% CI, 77.9%-91.2%) for experts and 85.1% (95% CI, 76.6%-90.9%) for nonexperts. p16(INK4a) /Ki-67 immunostaining demonstrated good reproducibility and specificity when triaging HPV-positive women. Dual-staining interpretation can be performed, after short training, even by staff who are not experts in cervical cytology. This allows HPV-based screening with triage to be performed in settings in

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

    Science.gov (United States)

    Han, Shihui; Ma, Yina

    2015-11-01

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

  10. 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.

  11. 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.

  12. 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

  13. Interpretation of the margin of exposure for genotoxic carcinogens - elicitation of expert knowledge about the form of the dose response curve at human relevant exposures.

    Science.gov (United States)

    Boobis, Alan; Flari, Villie; Gosling, John Paul; Hart, Andy; Craig, Peter; Rushton, Lesley; Idahosa-Taylor, Ehi

    2013-07-01

    The general approach to risk assessment of genotoxic carcinogens has been to advise reduction of exposure to "as low as reasonably achievable/practicable" (ALARA/P). However, whilst this remains the preferred risk management option, it does not provide guidance on the urgency or extent of risk management actions necessary. To address this, the "Margin of Exposure" (MOE) approach has been proposed. The MOE is the ratio between the point of departure for carcinogenesis and estimated human exposure. However, interpretation of the MOE requires implicit or explicit consideration of the shape of the dose-response curve at human relevant exposures. In a structured elicitation exercise, we captured expert opinion on available scientific evidence for low dose-response relationships for genotoxic carcinogens. This allowed assessment of: available evidence for the nature of dose-response relationships at human relevant exposures; the generality of judgments about such dose-response relationships; uncertainties affecting judgments on the nature of such dose-response relationships; and whether this last should differ for different classes of genotoxic carcinogens. Elicitation results reflected the variability in experts' views on the form of the dose-response curve for low dose exposure and major sources of uncertainty affecting the assumption of a linear relationship.

  14. [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.

  15. Research Approaches and Methods for Evaluating the Protein Quality of Human Foods Proposed by an FAO Expert Working Group in 2014.

    Science.gov (United States)

    Lee, Warren Tk; Weisell, Robert; Albert, Janice; Tomé, Daniel; Kurpad, Anura V; Uauy, Ricardo

    2016-05-01

    The Protein Digestibility Corrected Amino Acid Score (PDCAAS) has been adopted for assessing protein quality in human foods since 1991, and the shortcomings of using the PDCAAS have been recognized since its adoption. The 2011 FAO Expert Consultation recognized that the Digestible Indispensable Amino Acid Score (DIAAS) was superior to the PDCAAS for determining protein quality. However, there were insufficient human data on amino acid digestibility before adopting the DIAAS. More human data were needed before DIAAS could be implemented. In 2014, FAO convened an expert working group to propose and agree on research protocols using both human-based assays and animal models to study ileal amino acid digestibility (metabolic availability) of human foods. The working group identified 5 research protocols for further research and development. A robust database of protein digestibility of foods commonly consumed worldwide, including those consumed in low-income countries, is needed for an informed decision on adopting the DIAAS. A review on the impacts of using the DIAAS on public health policies is necessary. It would be advantageous to have a global coordinating effort to advance research and data collection. Collaboration with international and national agriculture institutes is desirable. Opportunities should be provided for young researchers, particularly those from developing countries, to engage in protein-quality research for sustainable implementation of DIAAS. To conclude, the DIAAS is a conceptually preferable method compared with the PDCAAS for protein and amino acid quality evaluation. However, the complete value of the DIAAS and its impact on public health nutrition cannot be realized until there are sufficient accumulated ileal amino acid digestibility data on human foods that are consumed in different nutritional and environmental conditions, measured by competent authorities. A future meeting may be needed to evaluate the size and quality of the data set

  16. ALICE Expert System

    CERN Document Server

    Ionita, C

    2014-01-01

    The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in dierent system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by reg...

  17. 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

  18. Expert Systems: An Overview.

    Science.gov (United States)

    Adiga, Sadashiv

    1984-01-01

    Discusses: (1) the architecture of expert systems; (2) features that distinguish expert systems from conventional programs; (3) conditions necessary to select a particular application for the development of successful expert systems; (4) issues to be resolved when building expert systems; and (5) limitations. Examples of selected expert systems…

  19. 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.

  20. 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.

  1. 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.

  2. A study on how organizational citizenship behavior influences on human resource management

    Directory of Open Access Journals (Sweden)

    Mostafa mahouti

    2014-03-01

    Full Text Available During the past few years, there have been some evidences to believe that organizational citizenship behavior (OCB could significantly influence on the success of organizations. This paper presents an empirical investigation to study the effects of OCB on human resource management. The proposed study designs a questionnaire and distributes it among some 260 experts who worked for an Iranian auto industry. The study designs a questionnaire in Likert scale, examines three hypotheses including the relationship between conscientiousness and information quality, courtesy and work efficiency and between civic virtue and work efficiency. Cronbach alphas for Courtesy, Civic virtue and Information Quality are calculated as 0.75, 0.76 and 0.81, respectively. Using structural equation modeling, the study has confirmed existence of positive and meaningful relationships among various components of the survey, which confirms all three hypotheses of the survey.

  3. 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...

  4. 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.

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. Improvements and Limitations of Humanized Mouse Models for HIV Research: NIH/NIAID "Meet the Experts" 2015 Workshop Summary.

    Science.gov (United States)

    Akkina, Ramesh; Allam, Atef; Balazs, Alejandro B; Blankson, Joel N; Burnett, John C; Casares, Sofia; Garcia, J Victor; Hasenkrug, Kim J; Kashanchi, Fatah; Kitchen, Scott G; Klein, Florian; Kumar, Priti; Luster, Andrew D; Poluektova, Larisa Y; Rao, Mangala; Sanders-Beer, Brigitte E; Shultz, Leonard D; Zack, Jerome A

    2016-02-01

    The number of humanized mouse models for the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) and other infectious diseases has expanded rapidly over the past 8 years. Highly immunodeficient mouse strains, such as NOD/SCID/gamma chain(null) (NSG, NOG), support better human hematopoietic cell engraftment. Another improvement is the derivation of highly immunodeficient mice, transgenic with human leukocyte antigens (HLAs) and cytokines that supported development of HLA-restricted human T cells and heightened human myeloid cell engraftment. Humanized mice are also used to study the HIV reservoir using new imaging techniques. Despite these advances, there are still limitations in HIV immune responses and deficits in lymphoid structures in these models in addition to xenogeneic graft-versus-host responses. To understand and disseminate the improvements and limitations of humanized mouse models to the scientific community, the NIH sponsored and convened a meeting on April 15, 2015 to discuss the state of knowledge concerning these questions and best practices for selecting a humanized mouse model for a particular scientific investigation. This report summarizes the findings of the NIH meeting.

  12. 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.

  13. 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.

  14. 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

  15. 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...

  16. 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...

  17. 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...

  18. 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…

  19. 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

  20. 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

  1. 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…

  2. 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…

  3. 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…

  4. 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…

  5. 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.

  6. First study of the evolution of the SeDeM expert system parameters based on percolation theory: Monitoring of their critical behavior.

    Science.gov (United States)

    Galdón, Eduardo; Casas, Marta; Gayango, Manuel; Caraballo, Isidoro

    2016-12-01

    The deep understanding of products and processes has become a requirement for pharmaceutical industries to follow the Quality by Design principles promoted by the regulatory authorities. With this aim, SeDeM expert system was developed as a useful preformulation tool to predict the likelihood to process drugs and excipients through direct compression. SeDeM system is a step forward in the rational development of a formulation, allowing the normalisation of the rheological parameters and the identification of the weaknesses and strengths of a powder or a powder blend. However, this method is based on the assumption of a linear behavior of disordered systems. As percolation theory has demonstrated, powder blends behave as non-linear systems that can suffer abrupt changes in their properties near to geometrical phase transitions of the components. The aim of this paper was to analyze for the first time the evolution of the SeDeM parameters in drug/excipient powder blends from the point of view of the percolation theory and to compare the changes predicted by SeDeM with the predictions of Percolation theory. For this purpose, powder blends of lactose and theophylline with varying concentrations of the model drug have been prepared and the SeDeM analysis has been applied to each blend in order to monitor the evolution of their properties. On the other hand, percolation thresholds have been estimated for these powder blends where critical points have been found for important rheological parameters as the powder flow. Finally, the predictions of percolation theory and SeDeM have been compared concluding that percolation theory can complement the SeDeM method for a more accurate estimation of the Design Space.

  7. 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.

  8. 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.

  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. 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.

  11. 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.

  12. 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)

  13. 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)

  14. 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.

  15. 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.

  16. 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.

  17. Contextual Factors for Finding Similar Experts

    DEFF Research Database (Denmark)

    Hofmann, Katja; Balog, Krisztian; Bogers, Toine;

    2010-01-01

    Expertise-seeking research studies how people search for expertise and choose whom to contact in the context of a specific task. An important outcome are models that identify factors that influence expert finding. Expertise retrieval addresses the same problem, expert finding, but from a system......-seeking models, are rarely taken into account. In this article, we extend content-based expert-finding approaches with contextual factors that have been found to influence human expert finding. We focus on a task of science communicators in a knowledge-intensive environment, the task of finding similar experts......, given an example expert. Our approach combines expertise-seeking and retrieval research. First, we conduct a user study to identify contextual factors that may play a role in the studied task and environment. Then, we design expert retrieval models to capture these factors. We combine these with content...

  18. 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.

  19. 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.

  20. 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 ...

  1. 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.

  2. 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...

  3. 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...

  4. 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...

  5. 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 ...

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. EXPERT SYSTEMS - DEVELOPMENT OF AGRICULTURAL INSURANCE TOOL

    OpenAIRE

    2013-01-01

    Because of the fact that specialty agricultural assistance is not always available when the farmers need it, we identified expert systems as a strong instrument with an extended potential in agriculture. This started to grow in scale recently, including all socially-economic activity fields, having the role of collecting data regarding different aspects from human experts with the purpose of assisting the user in the necessary steps for solving problems, at the performance level of the expert...

  11. Expert systems in treating substance abuse.

    OpenAIRE

    Wesson, D R; Hink, R H

    1990-01-01

    Computer programs can assist humans in solving complex problems that cannot be solved by traditional computational techniques using mathematic formulas. These programs, or "expert systems," are commonly used in finance, engineering, and computer design. Although not routinely used in medicine at present, medical expert systems have been developed to assist physicians in solving many kinds of medical problems that traditionally require consultation from a physician specialist. No expert system...

  12. 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.

  13. What Are Expert Systems?

    Science.gov (United States)

    d'Agapeyeff, A.

    1986-01-01

    Intended for potential business users, this paper describes the main characteristics of expert systems; discusses practical use considerations; presents a taxonomy of the systems; and reviews several expert system development projects in business and industry. (MBR)

  14. Expert auditors’ services classification

    OpenAIRE

    Jolanta Wisniewska

    2013-01-01

    The profession of an expert auditor is a public trust occupation with a distinctive feature of taking responsibility for actions in the public interest. The main responsibility of expert auditors is performing financial auditing; however, expert auditors are prepared to carry out different tasks which encompass a wide plethora of financial and auditing services for different kinds of institutions and companies. The aim of the article is first of all the description of expert auditors’ service...

  15. Tactical Weather Expert System.

    Science.gov (United States)

    The objective of this project was to assess the feasibility of developing an expert system for tactical weather prediction. Using WILLARD, an expert ...indicate that intelligent interpretations of cloud formations can be made. These inferences can then be automatically passed to the expert system for...processing as another piece of information. It is anticipated that this technology will significantly reduce the dependence of the expert system on a

  16. 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.

  17. An Expert System Approach to Global Fault Detection and Isolation Design

    Science.gov (United States)

    1990-01-01

    problem solving skill of a human expert in a narrow domain. The development of the expert systen design assistant is feasible since the domain...technology. An expert system is a computer program that mimics the problem solving skill of a human expert in a narrow domain. The development of the expert

  18. Persuasiveness of expert systems

    NARCIS (Netherlands)

    Dijkstra, JJ; Liebrand, WBG; Timminga, E; Liebrand, Wim B.G.

    1998-01-01

    Expert system advice is not always evaluated by examining its contents. Users can be persuaded by expert system advice because they have certain beliefs about advice given by a computer. The experiment in this paper shows that subjects (n = 84) thought that, given the same argumentation, expert syst

  19. Development Expert System

    Institute of Scientific and Technical Information of China (English)

    CAI Heng

    2010-01-01

    The expert system is a high-level technology.It is a sub-field of artificial intelligence.We demonstrated the character and software evaluation,carrying out an initial study of expert system.A good development expert system was developed.

  20. 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

  1. 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.

  2. Epidemiology of environmental exposures and human autoimmune diseases: findings from a National Institute of Environmental Health Sciences Expert Panel Workshop.

    Science.gov (United States)

    Miller, Frederick W; Alfredsson, Lars; Costenbader, Karen H; Kamen, Diane L; Nelson, Lorene M; Norris, Jill M; De Roos, Anneclaire J

    2012-12-01

    Autoimmune diseases (AID) are a collection of many complex disorders of unknown etiology resulting in immune responses to self-antigens and are thought to result from interactions between genetic and environmental factors. Here we review the epidemiologic evidence for the role of environmental factors in the development of human AID, the conclusions that can be drawn from the existing data, critical knowledge gaps, and research needed to fill these gaps and to resolve uncertainties. We specifically summarize the state of knowledge and our levels of confidence in the role of specific agents in the development of autoimmune diseases, and we define the areas of greatest impact for future investigations. Among our consensus findings we are confident that: 1) crystalline silica exposure can contribute to the development of several AID; 2) solvent exposure can contribute to the development of systemic sclerosis; 3) smoking can contribute to the development of seropositive rheumatoid arthritis; and 4) an inverse association exists between ultraviolet radiation exposure and the risk of development of multiple sclerosis. We suggest that more studies of phenotypes, genotypes, and multiple exposures are needed. Additional knowledge gaps needing investigation include: defining important windows in the timing of exposures and latencies relating to age, developmental state, and hormonal changes; understanding dose-response relationships; and elucidating mechanisms for disease development. Addressing these essential issues will require more resources to support research, particularly of rare AID, but knowledge of the risks conferred by environmental factors in specific genetic contexts could pave the way for prevention of AID in the future.

  3. Expert System Detects Power-Distribution Faults

    Science.gov (United States)

    Walters, Jerry L.; Quinn, Todd M.

    1994-01-01

    Autonomous Power Expert (APEX) computer program is prototype expert-system program detecting faults in electrical-power-distribution system. Assists human operators in diagnosing faults and deciding what adjustments or repairs needed for immediate recovery from faults or for maintenance to correct initially nonthreatening conditions that could develop into faults. Written in Lisp.

  4. 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.

  5. Expert status and performance.

    Directory of Open Access Journals (Sweden)

    Mark A Burgman

    Full Text Available Expert judgements are essential when time and resources are stretched or we face novel dilemmas requiring fast solutions. Good advice can save lives and large sums of money. Typically, experts are defined by their qualifications, track record and experience. The social expectation hypothesis argues that more highly regarded and more experienced experts will give better advice. We asked experts to predict how they will perform, and how their peers will perform, on sets of questions. The results indicate that the way experts regard each other is consistent, but unfortunately, ranks are a poor guide to actual performance. Expert advice will be more accurate if technical decisions routinely use broadly-defined expert groups, structured question protocols and feedback.

  6. 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.

  7. 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.

  8. 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

  9. 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

  10. Murder, insanity, and medical expert witnesses.

    Science.gov (United States)

    Ciccone, J R

    1992-06-01

    Recent advances in the ability to study brain anatomy and function and attempts to link these findings with human behavior have captured the attention of the legal system. This had led to the increasing use of the "neurological defense" to support a plea of not guilty by reason of insanity. This article explores the history of the insanity defense and explores the role of the medical expert witnesses in integrating clinical and laboratory findings, eg, computed tomographic scans, magnetic resonance scans, and single-photon emission computed tomographic scans. Three cases involving murder and brain dysfunction are discussed: the first case involves a subarachnoid hemorrhage resulting in visual perceptual and memory impairment; the second case, a diagnosis of Alzheimer's disease; and the third case, the controverted diagnosis of complex partial seizures in a serial killer.

  11. 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.

  12. An Expert System Approach for Garden Designing

    Directory of Open Access Journals (Sweden)

    NiloofarMozafari

    2012-10-01

    Full Text Available In the recent years, the quality of human life is improved by artificial intelligencetechniques. In artificial intelligence, an expert system is a computer system that emulates thedecision-making ability of a human expert. Expert systems are designed to solve complexproblems by reasoning about knowledge, like an expert. In this paper, we propose an expertsystem with the aim of designing the garden with considering the different taste of thepeople. The proposed system can help people to design their garden themselves. Indeed, it isable to use by architectures to provide decision support system, interactive training tool andexpert advice. The system constitutes part of intelligent system of designing the garden. Aninitial evaluation of the expert system was carried out and a positive feedback was receivedfrom the users.

  13. Contextual Factors for Finding Similar Experts

    DEFF Research Database (Denmark)

    Hofmann, Katja; Balog, Krisztian; Bogers, Toine

    2010-01-01

    -seeking models, are rarely taken into account. In this article, we extend content-based expert-finding approaches with contextual factors that have been found to influence human expert finding. We focus on a task of science communicators in a knowledge-intensive environment, the task of finding similar experts......, given an example expert. Our approach combines expertise-seeking and retrieval research. First, we conduct a user study to identify contextual factors that may play a role in the studied task and environment. Then, we design expert retrieval models to capture these factors. We combine these with content......-based retrieval models and evaluate them in a retrieval experiment. Our main finding is that while content-based features are the most important, human participants also take contextual factors into account, such as media experience and organizational structure. We develop two principled ways of modeling...

  14. Characterization of Decision Making Behaviors Associated with Human Systems Integration (HSI) Design Tradeoffs: Subject Matter Expert Interviews

    Science.gov (United States)

    2014-11-18

    Engineering ( NISE ) In-House Laboratory Independent Research (ILIR) Program. The author greatly appreciates the support and cooperation of Mr. John...Blanding. Finally, the author would like to thank the following individuals and organizations who made the execution of this study possible: The NISE ILIR

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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

  1. WATERS Expert Query Tool

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Expert Query Tool is a web-based reporting tool using the EPA’s WATERS database.There are just three steps to using Expert Query:1. View Selection – Choose what...

  2. How Expert Designers Design

    NARCIS (Netherlands)

    C. Carr; Dr. Peter Sloep; P. Kirschner; J. van Merrienboer

    2003-01-01

    This paper discusses two studies - the one in a business context, the other in a university context - carried out with expert educational designers. The studies aimed to determine the priorities experts claim to employ when designing competence-based learning environments. Designers in both contexts

  3. Diagnosa Gangguan Perkembangan Anak Dengan Metode Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Diki Arisandi

    2017-05-01

    Full Text Available AbstrakAnak-anak dibawah umur 10 tahun merupakan fase yang sangat perlu diperhatikan perkembangannya oleh orang tua dan dibantu oleh pakar, apakah mengalami gangguan perkembangan atau tidak. Gangguan perkembangan anak dapat didiagnosis dari perilaku yang diperlihatkan oleh anak dengan cara observasi oleh seorang pakar psikologi anak. Hasil diagnosa dari observasi yang dilakukan beberapa pakar bisa saja berbeda. Hal ini membuat para orang tua menjadi kebingungan terhadap tindak lanjut yang harus dilakukan kepada anak mereka. Untuk mempermudah mendiagnosis gangguan perkembangan pada anak perlu adanya sebuah sistem pakar berbasis Fuzzy. Metode Fuzzy yang diterapkan didasari atas rentang logika berpikir manusia seperti dingin dan panas, tinggi dan rendah, dan lainnya.  Diharapkan dengan adanya sistem pakar berbasis fuzzy ini, hasil diagnosa dapat menghasilkan solusi seperti nalar manusia dari sehingga didapatkan solusi untuk tindak lanjut pada gangguan anak. Kata kunci: Diagnosa, Fuzzy, Fungsi Keanggotaan, Gangguan perkembangan, Sistem Pakar. AbstractChildren under 10 years is a critical phase of their developmental and should be noticed by parents and assisted by experts, whether experiencing developmental disruption or not. Children developmental disruption can be diagnosed from behaviors shown by children by observation by a psychologist. Diagnosis results from observations made by some experts may be different. This makes the parents become confused about the follow-up to be done to their children. A Fuzzy-based expert system is needed to overcome the children developmental disruption. The applied Fuzzy method is based on the logical range of human thinking such as cold and hot, high and low, and others. With the fuzzy-based expert system, the diagnostic results can produce solutions such as human reasoning from that obtained a solution to following up on children disruption. Keywords: Diagnosis, Fuzzy, Membership Function, Developmental

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Expert networks in CLIPS

    Science.gov (United States)

    Hruska, S. I.; Dalke, A.; Ferguson, J. J.; Lacher, R. C.

    1991-01-01

    Rule-based expert systems may be structurally and functionally mapped onto a special class of neural networks called expert networks. This mapping lends itself to adaptation of connectionist learning strategies for the expert networks. A parsing algorithm to translate C Language Integrated Production System (CLIPS) rules into a network of interconnected assertion and operation nodes has been developed. The translation of CLIPS rules to an expert network and back again is illustrated. Measures of uncertainty similar to those rules in MYCIN-like systems are introduced into the CLIPS system and techniques for combining and hiring nodes in the network based on rule-firing with these certainty factors in the expert system are presented. Several learning algorithms are under study which automate the process of attaching certainty factors to rules.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Expert Systems--The New International Language of Business.

    Science.gov (United States)

    Sondak, Norman E.; And Others

    A discussion of expert systems, computer programs designed to simulate human reasoning and expertise, begins with the assumption that few business educators understand the impact that expert systems will have on international business. The fundamental principles of the design and development of expert systems in business are outlined, with special…

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. [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.

  1. Expert F# 20

    CERN Document Server

    Syme, Don; Cisternino, Antonio

    2009-01-01

    Expert F# 2.0 is about practical programming in a beautiful language that puts the power and elegance of functional programming into the hands of professional developers. In combination with .NET, F# achieves unrivaled levels of programmer productivity and program clarity. Expert F# 2.0 is * The authoritative guide to F# by the inventor of F# * A comprehensive reference of F# concepts, syntax, and features * A treasury of expert F# techniques for practical, real-world programming F# isn't just another functional programming language. It's a general-purpose language ideal for real-world develop

  2. Benchmarking expert system tools

    Science.gov (United States)

    Riley, Gary

    1988-01-01

    As part of its evaluation of new technologies, the Artificial Intelligence Section of the Mission Planning and Analysis Div. at NASA-Johnson has made timing tests of several expert system building tools. Among the production systems tested were Automated Reasoning Tool, several versions of OPS5, and CLIPS (C Language Integrated Production System), an expert system builder developed by the AI section. Also included in the test were a Zetalisp version of the benchmark along with four versions of the benchmark written in Knowledge Engineering Environment, an object oriented, frame based expert system tool. The benchmarks used for testing are studied.

  3. 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

  4. 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

  5. On modernist social sciences’ understanding of poverty and the role of poverty experts in the “conduct of conduct” of human subjects: a critique

    Directory of Open Access Journals (Sweden)

    Diamantino Machado

    2008-03-01

    Full Text Available The purpose of my paper is to show that modernist social sciences have been directly involved in the construction and reproduction of poverty, and in the "conduct of conduct" of the scientifically labeled poor or the produced and reproduced "object" of poverty experts.

  6. 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.

  7. Is the Secure Base Phenomenon Evident Here, There, and Anywhere? A Cross-Cultural Study of Child Behavior and Experts' Definitions

    Science.gov (United States)

    Posada, German; Lu, Ting; Trumbell, Jill; Kaloustian, Garene; Trudel, Marcel; Plata, Sandra J.; Peña, Paola P.; Perez, Jennifer; Tereno, Susana; Dugravier, Romain; Coppola, Gabrielle; Constantini, Alessandro; Cassibba, Rosalinda; Kondo-Ikemura, Kiyomi; Nóblega, Magaly; Haya, Ines M.; Pedraglio, Claudia; Verissimo, Manuela; Santos, Antonio J.; Monteiro, Ligia; Lay, Keng-Ling

    2013-01-01

    The evolutionary rationale offered by Bowlby implies that secure base relationships are common in child-caregiver dyads and thus, child secure behavior observable across diverse social contexts and cultures. This study offers a test of the universality hypothesis. Trained observers in nine countries used the Attachment Q-set to describe the…

  8. Treatment Differences in the Therapeutic Relationship and Introject during a 2-Year Randomized Controlled Trial of Dialectical Behavior Therapy versus Nonbehavioral Psychotherapy Experts for Borderline Personality Disorder

    Science.gov (United States)

    Bedics, Jamie D.; Atkins, David C.; Comtois, Katherine A.; Linehan, Marsha M.

    2012-01-01

    Objective: The present study explored the role of the therapeutic relationship and introject during the course of dialectical behavior therapy (DBT; Linehan, 1993) for the treatment of borderline personality disorder. Method: Women meeting "DSM-IV" criteria for borderline personality disorder (N = 101) were randomized to receive DBT or community…

  9. 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...

  10. "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.

  11. 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.

  12. 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.

  13. 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.

  14. 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)

  15. 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…

  16. 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

  17. CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search

    Science.gov (United States)

    2008-11-01

    CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search Jiepu Jiang1, Wei Lu1, Haozhen Zhao2 1 Center for Studies of...AND SUBTITLE CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...15. J. Jiang, W. Lu, D. Liu. CSIR at TREC 2007. In Proceedings of the 16th Text REtrieval Conference (TREC 2007), 2007. 16. J. Jiang, W. Lu. IR

  18. Expert investigation on importance of influencing factors of behavior problems in elementary school children%小学生行为问题影响因素重要性差异专家调查

    Institute of Scientific and Technical Information of China (English)

    王琳; 季建林; 舒涛; 方勇; 吴葆宁; 陈思玉; 石淑华

    2011-01-01

    Objective To study the opinions of experts on influencing factors of behavior problems in elementary school children in China.Methods Investigating forms were distributed to 43 Chinese experts to get their judgments for factors and the weights of the factors determined by analytic hierarchy process (AHP).Results The top 6 risk factors were family atmosphere ( 10.485% ), type of family ( 7.112% ), atmosphere of surrounding environment ( 6.168% ), regular communication between teacher and parents ( 5.653 % ), education ideal of teachers (5.313 % ), and proficiency of teachers in knowledge of children's physical and mental development ( 5.168% ).Factors of family, teachers and atmosphere of surrounding environment were important influential factors for child behavior problems.Factors of mothers showed strong influence on child behavior problems than those of the fathers.Conclusion There are obvious difference in the importance of 33 influential factors for behavioral problems among primary school children and the analytic results can offer rational reference to the implementation of prevention and interference measures.%目的 了解中国小学生行为问题影响因素的专家意见.方法 对全国共43名专家进行问卷调查,获取专家对各因素差异的主观判断,用层次分析法计算各因素权重.结果 名列前6位高危因素为:家庭氛围(10.485%)、家庭类型(7.112%)、生活周边环境社会风气(6.168%)、教师定期与学生及家长沟通情况(5.653%)、教师教育理念(5.313%)、教师对儿童身心发育知识了解(5.168%);家庭、教师各具体指标和生活周边环境对小学生行为问题影响较大,母亲各因素危险性均超过父亲相应指标.结论 获得的33个指标权重值客观反映了小学生行为问题各影响因素的重要性差异,为有针对性防治小学生行为问题提供了科学依据.

  19. 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...

  20. Expert Assessment of Human-Human Stigmergy

    Science.gov (United States)

    2005-10-01

    environments can be viewed as digital libraries (a domain with an extensive research literature [23], organizational infrastructure [22, 43], and public...266, 2004. http://www.cs.drexel.edu/~cicirello/jaamas-8-3.pdf. [17] CIDL. Canadian Initiative on Digital Libraries / Initiative Canadienne sur les...Society. 2005. http://www.ewh.ieee.org/tc/its/trans.html. [43] IFLA. Digital Libraries : Resources and Projects. 2003. Web site, http://www.ifla.org/II

  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. Expert Oracle application express

    CERN Document Server

    Scott, John Edward

    2011-01-01

    Expert Oracle Application Express brings you groundbreaking insights into developing with Oracle's enterprise-level, rapid-development tool from some of the best practitioners in the field today. Oracle Application Express (APEX) is an entirely web-based development framework that is built into every edition of Oracle Database. The framework rests upon Oracle's powerful PL/SQL language, enabling power users and developers to rapidly develop applications that easily scale to hundreds, even thousands of concurrent users. The 13 authors of Expert Oracle Application Express build their careers aro

  3. 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.

  4. Long-term behavior understanding based on the expert-based combination of short-term observations in high-resolution CCTV

    Science.gov (United States)

    Schutte, Klamer; Burghouts, Gertjan; van der Stap, Nanda; Westerwoudt, Victor; Bouma, Henri; Kruithof, Maarten; Baan, Jan; ten Hove, Johan-Martijn

    2016-10-01

    The bottleneck in situation awareness is no longer in the sensing domain but rather in the data interpretation domain, since the number of sensors is rapidly increasing and it is not affordable to increase human data-analysis capacity at the same rate. Automatic image analysis can assist a human analyst by alerting when an event of interest occurs. However, common state-of-the-art image recognition systems learn representations in high-dimensional feature spaces, which makes them less suitable to generate a user-comprehensive message. Such data-driven approaches rely on large amounts of training data, which is often not available for quite rare but high-impact incidents in the security domain. The key contribution of this paper is that we present a novel real-time system for image understanding based on generic instantaneous low-level processing components (symbols) and flexible user-definable and user-understandable combinations of these components (sentences) at a higher level for the recognition of specific relevant events in the security domain. We show that the detection of an event of interest can be enhanced by utilizing recognition of multiple short-term preparatory actions.

  5. 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…

  6. 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 ...

  7. 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 ...

  8. 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…

  9. Expert system to control a fusion energy experiment

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, R.R.; Canales, T.; Lager, D.

    1986-01-01

    This paper describes a system that automates neutral beam source conditioning. The system achieves this with artificial intelligence techniques by encoding the behavior of several experts as a set of if-then rules in an expert system. One of the functions of the expert system is to control an adaptive controller that, in turn, controls the neutral beam source. The architecture of the system is presented followed by a description of its performance.

  10. 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.

  11. Ask an Expert.

    Science.gov (United States)

    Trautman, Steve; Klein, Kate

    1993-01-01

    Offers guidelines for determining when and how to recruit subject matter experts (SMEs) and for ensuring that they deliver high quality training. Considers common problems of SMEs, such as giving too much information, conflicts with their job commitments, and stage fright. (JOW)

  12. Bloggers as experts

    NARCIS (Netherlands)

    K. Balog; M. de Rijke; W. Weerkamp

    2008-01-01

    We address the task of (blog) feed distillation: to find blogs that are principally devoted to a given topic. The task may be viewed as an association finding task, between topics and bloggers. Under this view, it resembles the expert finding task, for which a range of models have been proposed. We

  13. 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.

  14. 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.

  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. 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. 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

  18. 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.

  19. Bioethics for Technical Experts

    Science.gov (United States)

    Asano, Shigetaka

    Along with rapidly expanding applications of life science and technology, technical experts have been implicated more and more often with ethical, social, and legal problems than before. It should be noted that in this background there are scientific and social uncertainty elements which are inevitable during the progress of life science in addition to the historically-established social unreliability to scientists and engineers. In order to solve these problems, therefore, we should establish the social governance with ‘relief’ and ‘reliance’ which enables for both citizens and engineers to share the awareness of the issues, to design social orders and criterions based on hypothetical sense of values for bioethics, to carry out practical use management of each subject carefully, and to improve the sense of values from hypothetical to universal. Concerning these measures, the technical experts can learn many things from the present performance in the medical field.

  20. Expert Script Generator

    Science.gov (United States)

    Sliwa, Nancy E.; Cooper, Eric G.

    1991-01-01

    Program provides additional level of interface to facilitate use of telerobotic system. ESG (Expert Script Generator) is software package automatically generating high-level task objective commands from complex menu-driven language of the NASA Intelligent Systems Research Laboratory (ISRL). Makes telerobotics laboratory accessible to researchers not familiar with comprehensive language developed by ISRL for interacting with various systems of ISRL test bed. Incorporates expert-system technology to capture typical rules of operation that skilled operator uses. Result: operator interfact optimizing ability of system to perform task remotely in hazardous environment, in timely manner, and without undue stress to operator, while minimizing change for operator erros that damage equipment. Written in CLIPS.

  1. Expert PLSQL Practices

    CERN Document Server

    Beresniewicz, John

    2011-01-01

    Expert PL/SQL Practices is a book of collected wisdom on PL/SQL programming from some of the best and the brightest in the field. Each chapter is a deep-dive into a specific problem, technology, or feature set that you'll face as a PL/SQL programmer. Each author has chosen their topic out of the strong belief that what they share can make a positive difference in the quality and scalability of code that you write. The path to mastery begins with syntax and the mechanics of writing statements to make things happen. If you've reached that point with PL/SQL, then let the authors of Expert PL/SQL

  2. 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

  3. 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

  4. 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.

  5. Expert system for management of urinary incontinence in women.

    Science.gov (United States)

    Gorman, R.

    1995-01-01

    The purpose of this nursing informatics and outcomes research study was to determine the effectiveness of an expert system for disseminating knowledge to ambulatory women health care consumers with urinary incontinence. Clinical knowledge from the Agency for Health Care Policy and Research (AHCPR) patient guideline for urinary incontinence and research literature for behavioral treatments provided the knowledge base for the expert system. Two experimental groups (booklet and expert system) and one control group were utilized. Study results suggest the use of an expert system as one effective communication means for disseminating clinical information in an advisory capacity to ambulatory women with urinary incontinence. PMID:8563340

  6. Using Expert Systems To Build Cognitive Simulations.

    Science.gov (United States)

    Jonassen, David H.; Wang, Sherwood

    2003-01-01

    Cognitive simulations are runnable computer programs for modeling human cognitive activities. A case study is reported where expert systems were used as a formalism for modeling metacognitive processes in a seminar. Building cognitive simulations engages intensive introspection, ownership and meaning making in learners who build them. (Author/AEF)

  7. 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.

  8. 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 ...

  9. 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...

  10. 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…

  11. 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,…

  12. Using Expert Systems in the Management of Industrial Equipment Maintenance

    OpenAIRE

    IOAN CUCU; CODRUŢA DURA; IMOLA DRIGĂ

    2009-01-01

    The term “expert system” generally evokes new management techniques in various fields of activity. The definition of the expert systems in terms of their architecture reveals three basic elements: the knowledgebase containing specialized knowledge in a certain area, taken from the human expert in that field; the facts which include information related to the situation of management and data concerning a certain problem to be solved and the inference engine which is intended to exploit the set...

  13. 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

  14. 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.

  15. 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

  16. 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)

  17. 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.

  18. 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.

  19. 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

  20. Expert and Knowledge Based Systems.

    Science.gov (United States)

    Demaid, Adrian; Edwards, Lyndon

    1987-01-01

    Discusses the nature and current state of knowledge-based systems and expert systems. Describes an expert system from the viewpoints of a computer programmer and an applications expert. Addresses concerns related to materials selection and forecasts future developments in the teaching of materials engineering. (ML)

  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, 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

  2. 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…

  3. 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

  4. 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)

  5. 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)

  6. 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...

  7. 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.

  8. Experts on public trial

    DEFF Research Database (Denmark)

    Blok, Anders

    2007-01-01

    Citizen deliberation on technoscientific developments is regularly regarded as a hallmark of Danish democracy, embodied in particular by the Danish Board of Technology. Few empirically guided questions have been raised, however, as to how the Board's democratic projects actually work. Through...... a case study of the May 2003 Danish consensus conference on environmental economics as a policy tool, the article reflects on the politics of expert authority permeating practices of public participation. Adopting concepts from the sociology of scientific knowledge (SSK), the conference is seen...

  9. Expert Oracle Exadata

    CERN Document Server

    Johnson, Randy

    2011-01-01

    Throughout history, advances in technology have come in spurts. A single great idea can often spur rapid change as the idea takes hold and is propagated, often in totally unexpected directions. Exadata embodies such a change in how we think about and manage relational databases. The key change lies in the concept of offloading SQL processing to the storage layer. That concept is a huge win, and its implementation in the form of Exadata is truly a game changer. Expert Oracle Exadata will give you a look under the covers at how the combination of hardware and software that comprise Exadata actua

  10. Expert Systems Development Methodology

    Science.gov (United States)

    1989-07-28

    expert systems has been hardware development. In the middle 1950’s at the very birth of AI, hardware was large very slow and extremely expensive. In...into another report. For example, MOBPLEX provides output into the Lotus spreadsheet as a semi-automated destination. From the spreadsheet the user of...designed on top of the Lotus 1-2- 3 interface. Lotus was used because it was decided there was no need to build a powerful ad hoc report generator

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. Artificial Experts: The Computer as Diagnostician Has Definite Limits.

    Science.gov (United States)

    Pournelle, Jerry

    1984-01-01

    Argues that, although expert systems--which are supposed to give users all the advantages of consulting with human experts--can be useful for medical diagnosis, where tests tend to be reliable, they can be hazardous in such areas as psychological testing, where test reliability is difficult to measure. (MBR)

  18. Artificial Experts: The Computer as Diagnostician Has Definite Limits.

    Science.gov (United States)

    Pournelle, Jerry

    1984-01-01

    Argues that, although expert systems--which are supposed to give users all the advantages of consulting with human experts--can be useful for medical diagnosis, where tests tend to be reliable, they can be hazardous in such areas as psychological testing, where test reliability is difficult to measure. (MBR)

  19. 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…

  20. 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

  1. Estimating Production Potentials: Expert Bias in Applied Decision Making

    Energy Technology Data Exchange (ETDEWEB)

    L. J. Matthews; L. K. Burggraf (ISU); W. J. Reece (INEEL)

    1998-10-01

    A study was conducted to evaluate how workers predict manufacturing production potentials given positively and negatively framed information. Findings indicate the existence of a bias toward positive information and suggest that this bias may be reduced with experience but is never the less maintained. Experts err in the same way non experts do in differentially processing negative and positive information. Additionally, both experts and non experts tend to overestimate production potentials in a positive direction. The authors propose that these biases should be addressed with further research including cross domain analyses and consideration in training, workplace design, and human performance modeling.

  2. The Research of System Architecture in Expert System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper illustrated the software architecture of our concretesafet y expert system. Three advanced technologies are proposed and have been applied to our expert system to greatly improve the intelligent level, which are human- compu ter interaction technology (conceptual model, dialogue management, interface ent ity and interface construct), intelligent agency user interface (IAUI) and compo nent technology. The i mportant character of the system architecture in our expert system is adapting a dvanced intelligent interface and scientific integration of various components d ifferent from common system architecture of expert system. Especially, in the in terface-friendly multimedia system intelligent interface is required.

  3. 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.

  4. 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

  5. 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.

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. Expert system rheometry

    Directory of Open Access Journals (Sweden)

    Samiul Amin

    2009-09-01

    Full Text Available Inks, drilling fluids, shower gels and drug delivery vehicles are just a few examples of the many industrial and consumer products based on colloidal and nanostructured complex fluids. The successful formulation of these materials is promoted by understanding how rheological behaviour, which typically dictates performance, relates to underlying microstructure. However, this knowledge can be difficult to obtain for those without the necessary expertise. This article shows how recent developments in rheometer technology address this issue. New rheometers, exemplified by the Kinexus from Malvern have expert knowledge embedded within the instrument and are able to guide users through measurement and data analysis to relevant information. Such systems facilitate development of the design rules to optimize formulations and generate novel and high performance materials of the future.

  11. 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

  12. 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.

  13. Conclusions, Research Needs, and Recommendations of the Expert Panel: Technical Workshop on Human Milk Surveillance and Research for Environmental Chemicals in the U.S.

    Science.gov (United States)

    Proceedings of "The Technical Workshop on Human Milk Surveillance and Research on Environmental Chemicals in the United States" was organized to develop state-of-the-science protocols describing the various aspects of such a program. The 2-day workshop was held at the Mi...

  14. 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...

  15. Expert Systems for the Analytical Laboratory.

    Science.gov (United States)

    de Monchy, Allan R.; And Others

    1988-01-01

    Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)

  16. Expert Systems as Tools for Technical Communicators.

    Science.gov (United States)

    Grider, Daryl A.

    1994-01-01

    Discusses expertise, what an expert system is, what an expert system shell is, what expert systems can and cannot do, knowledge engineering and technical communicators, and planning and managing expert system projects. (SR)

  17. [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.

  18. 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.

  19. 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.

  20. 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...

  1. 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.

  2. 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.

  3. 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...

  4. 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.

  5. Propulsive efficiency and non- expert swimmers performance

    Directory of Open Access Journals (Sweden)

    T.M. Barbosa

    2009-01-01

    Full Text Available Propulsive efficiency is one of the most interesting issues for competitive swimming researchers, has it presents significant relationships with the swimmer’s biophysical behavior and his/her performance. Although propulsive efficiency is a variable that has been quite studied in elite swimmers, there is no research on this issue in young and non-expert swimmers. Thus, the aim of this study was to: (i estimate the propulsive efficiency on non-expert swimmers; (ii identify biomechanical and anthropometrical parameters that are associated with propulsive efficiency; (iii identify the association between the propulsive efficiency and swim performance. Twenty-eight non-expert swimmers participated on this study. It was assessed the propulsive efficiency, biomechanical and anthropometrical parameters, as well as, the swim performance. The propulsive efficiency of non-expert swimmers is lower than data reported in the literature to higher competitive levels swimmers and there are no significant differences between boys and girls. It was also noted that several biomechanical and anthropometrical parameters, as well as, the swim performance are associated with the propulsive efficiency.

  6. Propulsive efficiency and non- expert swimmers performance

    Directory of Open Access Journals (Sweden)

    Tiago Barbosa

    2009-12-01

    Full Text Available Propulsive efficiency is one of the most interesting issues for competitive swimming researchers, has it presents significant relationships with the swimmer’s biophysical behavior and his/her performance. Although propulsive efficiency is a variable that has been quite studied in elite swimmers, there is no research on this issue in young and non-expert swimmers. Thus, the aim of this study was to: (i estimate the propulsive efficiency on non-expert swimmers; (ii identify biomechanical and anthropometrical parameters that are associated with propulsive efficiency; (iii identify the association between the propulsive efficiency and swim performance. Twenty-eight non-expert swimmers participated on this study. It was assessed the propulsive efficiency, biomechanical and anthropometrical parameters, as well as, the swim performance. The propulsive efficiency of non-expert swimmers is lower than data reported in the literature to higher competitive levels swimmers and there are no significant differences between boys and girls. It was also noted that several biomechanical and anthropometrical parameters, as well as, the swim performance are associated with the propulsive efficiency.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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...

  12. 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.

  13. True-personality-assisted self-awareness expert system

    Energy Technology Data Exchange (ETDEWEB)

    Laleuf, M.

    1988-01-01

    Based on psychoanalytic theory, the Who am I expert system explains in simple terms the individual's true personality, even it its unconscious or hidden aspects. Our overt personality traits are deeply rooted. The Who am I expert system gives access to an individual's primary personality, starting from his habitual everyday-life behavior: (1) describes the individual's basic personality, (2) explains this personality through the individual's deeply rooted experience and motivation, and (3) makes links with other people with a similar profile. The following are the primary features of the system: easy individual access, results in <20 minutes, and guaranteed confidentiality. Business applications include the following: (1) Individual training: Self-awareness improves a person's ability to fit in and to succeed within the group. (2) Communication: a homogeneous team has a better chance of success. (3) Human reliability: A close-knit team remains reliable even when faced with serious difficulties. (4) Recruitment: This technique enables the selection of individuals who will fit an existing homogeneous team. The system also enables a psychological diagnosis to be confirmed.

  14. 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.

  15. Chapel Hill bisphenol A expert panel consensus statement: Integration of mechanisms, effects in animals and potential to impact human health at current levels of exposure

    Science.gov (United States)

    vom Saal, Frederick S.; Akingbemi, Benson T.; Belcher, Scott M.; Birnbaum, Linda S.; Crain, D. Andrew; Eriksen, Marcus; Farabollini, Francesca; Guillette, Louis J.; Hauser, Russ; Heindel, Jerrold J.; Ho, Shuk-Mei; Hunt, Patricia A.; Iguchi, Taisen; Jobling, Susan; Kanno, Jun; Keri, Ruth A.; Knudsen, Karen E.; Laufer, Hans; LeBlanc, Gerald A.; Marcus, Michele; McLachlan, John A.; Myers, John Peterson; Nadal, Angel; Newbold, Retha R.; Olea, Nicolas; Prins, Gail S.; Richter, Catherine A.; Rubin, Beverly S.; Sonnenschein, Carlos; Soto, Ana M.; Talsness, Chris E.; Vandenbergh, John G.; Vanderberg, Laura N.; Walser-Kuntz, Debby R.; Watson, Cheryl S.; Welshons, Wade V.; Wetherill, Yelena; Zoeller, R. Thomas

    2007-01-01

    This document is a summary statement of the outcome from the meeting: “Bisphenol A: An Examination of the Relevance of Ecological, In vitro and Laboratory Animal Studies for Assessing Risks to Human Health” sponsored by both the NIEHS and NIDCR at NIH/DHHS, as well as the US-EPA and Commonweal on the estrogenic environmental chemical bisphenol A (BPA, 2,2-bis(4-hydroxyphenyl)propane; CAS# 80-05-7). The meeting was held in Chapel Hill, NC, 28–30 November 2006 due to concerns about the potential for a relationship between BPA and negative trends in human health that have occurred in recent decades. Examples include increases in abnormal penile/urethra development in males, early sexual maturation in females, an increase in neurobehavioral problems such as attention deficit hyperactivity disorder (ADHD) and autism, an increase in childhood and adult obesity and type 2 diabetes, a regional decrease in sperm count, and an increase in hormonally mediated cancers, such as prostate and breast cancers. Concern has been elevated by published studies reporting a relationship between treatment with “low doses” of BPA and many of theses negative health outcomes in experimental studies in laboratory animals as well as in vitro studies identifying plausible molecular mechanisms that could mediate such effects. Importantly, much evidence suggests that these adverse effects are occurring in animals within the range of exposure to BPA of the typical human living in a developed country, where virtually everyone has measurable blood, tissue and urine levels of BPA that exceed the levels produced by doses used in the “low dose” animal experiments.

  16. Life-Cycle Labor Supply with Human Capital: Econometric and Behavioral Implications

    OpenAIRE

    Michael P. Keane

    2015-01-01

    I examine the econometric and behavioral implications of including human capital in the life-cycle labor supply model. With human capital, the wage no longer equals the opportunity cost of time – which is, instead, the wage plus returns to work experience. This has a number of important implications, of which I highlight four: First, labor supply elasticities become functions of both preference and wage process parameters. Thus, one cannot estimate elasticities without also specifying and est...

  17. Morphological Variation and Sexual Behavior in the Human Past : II. The Origin of East Asians and their Sexual Behavior

    OpenAIRE

    Hiroto, Naora; Research School of Biological Sciences, The Australian National University

    2007-01-01

    Sexual behavior is the crucial element of global migration and the population expansion of humans in the past Based on the previous proposal that female pubic length is inversely correlated with the sexual activity of her male partner, the sexual activity of hominids in Palaeolithic Europe, Middle East and East Asia was assessed. A long pubic feature in the female pelvis of current East Asians can be seen in the Asian Palaeolithic hominid, i.e. the Jinniushan (around 200,000 years old), China...

  18. EXPERT SYSTEMS - DEVELOPMENT OF AGRICULTURAL INSURANCE TOOL

    Directory of Open Access Journals (Sweden)

    NAN Anca-Petruţa

    2013-07-01

    Full Text Available Because of the fact that specialty agricultural assistance is not always available when the farmers need it, we identified expert systems as a strong instrument with an extended potential in agriculture. This started to grow in scale recently, including all socially-economic activity fields, having the role of collecting data regarding different aspects from human experts with the purpose of assisting the user in the necessary steps for solving problems, at the performance level of the expert, making his acquired knowledge and experience available. We opted for a general presentation of the expert systems as well as their necessity, because, the solution to develop the agricultural system can come from artificial intelligence by implementing the expert systems in the field of agricultural insurance, promoting existing insurance products, farmers finding options in depending on their necessities and possibilities. The objective of this article consists of collecting data about different aspects about specific areas of interest of agricultural insurance, preparing the database, a conceptual presentation of a pilot version which will become constantly richer depending on the answers received from agricultural producers, with the clearest exposure of knowledgebase possible. We can justify picking this theme with the fact that even while agricultural insurance plays a very important role in agricultural development, the registered result got from them are modest, reason why solutions need to be found in the scope of developing the agricultural sector. The importance of this consists in the proposal of an immediate viable solution to correspond with the current necessities of agricultural producers and in the proposal of an innovative solution, namely the implementation of expert system in agricultural insurance as a way of promoting insurance products. Our research, even though it treats the subject at an conceptual level, it wants to undertake an

  19. Expert system aids reliability

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, A.T. [Tennessee Gas Pipeline, Houston, TX (United States)

    1997-09-01

    Quality and Reliability are key requirements in the energy transmission industry. Tennessee Gas Co. a division of El Paso Energy, has applied Gensym`s G2, object-oriented Expert System programming language as a standard tool for maintaining and improving quality and reliability in pipeline operation. Tennessee created a small team of gas controllers and engineers to develop a Proactive Controller`s Assistant (ProCA) that provides recommendations for operating the pipeline more efficiently, reliably and safely. The controller`s pipeline operating knowledge is recreated in G2 in the form of Rules and Procedures in ProCA. Two G2 programmers supporting the Gas Control Room add information to the ProCA knowledge base daily. The result is a dynamic, constantly improving system that not only supports the pipeline controllers in their operations, but also the measurement and communications departments` requests for special studies. The Proactive Controller`s Assistant development focus is in the following areas: Alarm Management; Pipeline Efficiency; Reliability; Fuel Efficiency; and Controller Development.

  20. 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.

  1. Decision making models and human factors: TOPSIS and Ergonomic Behaviors (TOPSIS-EB

    Directory of Open Access Journals (Sweden)

    Mohammad

    2017-02-01

    Full Text Available An effective safety management requires attention to human factors as well as system compo-nents which make risky or safe situations at technical components. This study evaluates and ana-lyze ergonomic behaviors in order to select the best work shift group in an Iranian process in-dustry, in 2010.The methodology was based on the Ergonomic Behavior Sampling (EBS, and TOPSIS method. After specifying the unergonomic behaviors and with reference to the results of a pilot study, a sample of 1755 was determined, with a sampling accuracy of 5% and confi-dence level of 95%. However, in order to gain more confidence, 2631 observations were collect-ed. The results indicate that 43.6% of workers’ behaviors were unergonomic. The most frequent unergonomic behavior was amusing of legs while load lifting with 83.01% of total unergonomic behaviors observations. Using TOPSIS method, the most effective shift group and the least at-tractive alternatives for intervention were selected in this company. Findings declare high number of unergonomic behaviors. Catastrophic consequences of accidents in petrochemical industry ne-cessitate attention to workers’ ergonomic behaviors in the workplace and promotion of them.

  2. Expert and novice facilitated modelling

    DEFF Research Database (Denmark)

    Tavella, Elena; Papadopoulos, Thanos

    2015-01-01

    This paper provides an empirical study based on action research in which expert and novice facilitators in facilitated modelling workshops are compared. There is limited empirical research analysing the differences between expert and novice facilitators. Aiming to address this gap we study...

  3. 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.

  4. 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.

  5. Expert finder systems – design and use

    DEFF Research Database (Denmark)

    Lykke, Marianne; Weidel, Eva

    2011-01-01

    expert finder systems to share knowledge about employees’ knowledge, interest, competences and activities. The purpose of the survey was to provide insight into goals, content and functionality of expert finder systems, including updating strategies and connection to social media knowledge sharing tools......, Switzerland, Ireland, United Kingdom, France, Portugal, Greece, Monaco, Italy, Luxemburg, Turkey, USA, Canada, Australia, New Zealand, Mexico, Chile, and China. The sample was drawn from Kompass: the business to business search engine, and covered service providers with 500+ employees and distributed location...... information, and behavioral data about activities, documents, network and preferences • Integration with social technologies is central - codification supports awareness and expertise retrieval, social networking supports sharing and interactive formation of knowledge...

  6. 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.

  7. Effects of human-machine interface design for intelligent speed adaptation on driving behavior and acceptance

    NARCIS (Netherlands)

    Rook, A.M.; Hogema, J.H.

    2005-01-01

    The effects of human-machine interface (HMI) design for intelligent speed adaptation (ISA) on driving behavior and acceptance were measured in a moving-base research driving simulator. Sixty-four experienced drivers participated in two simulator experiments (32 in each). During the simulated runs wi

  8. Data-Driven Modeling of Target Human Behavior in Military Operations

    Science.gov (United States)

    2014-03-12

    Military Operations Elizabeth Mezzacappa, Ph.D. Gordon Cooke, MEME Gladstone Reid, MSBMS Robert DeMarco, MSBMS Charles Sheridan BA John...stress, and human behavior modeling and simulation issues. GORDON COOKE, MEME , is a Principal Investigator at the TBRL. He was also a Chief

  9. Using ontologies to model human navigation behavior in information networks: A study based on Wikipedia.

    Science.gov (United States)

    Lamprecht, Daniel; Strohmaier, Markus; Helic, Denis; Nyulas, Csongor; Tudorache, Tania; Noy, Natalya F; Musen, Mark A

    The need to examine the behavior of different user groups is a fundamental requirement when building information systems. In this paper, we present Ontology-based Decentralized Search (OBDS), a novel method to model the navigation behavior of users equipped with different types of background knowledge. Ontology-based Decentralized Search combines decentralized search, an established method for navigation in social networks, and ontologies to model navigation behavior in information networks. The method uses ontologies as an explicit representation of background knowledge to inform the navigation process and guide it towards navigation targets. By using different ontologies, users equipped with different types of background knowledge can be represented. We demonstrate our method using four biomedical ontologies and their associated Wikipedia articles. We compare our simulation results with base line approaches and with results obtained from a user study. We find that our method produces click paths that have properties similar to those originating from human navigators. The results suggest that our method can be used to model human navigation behavior in systems that are based on information networks, such as Wikipedia. This paper makes the following contributions: (i) To the best of our knowledge, this is the first work to demonstrate the utility of ontologies in modeling human navigation and (ii) it yields new insights and understanding about the mechanisms of human navigation in information networks.

  10. Predicting Team Performance through Human Behavioral Sensing and Quantitative Workflow Instrumentation

    Science.gov (United States)

    2016-07-27

    Information Theory · Operations Research · Decision- Making . 1 Introduction From network operations control centers to expeditionary military...instantiation of this approach, shown in Fig. 1, and its application to the study of teams’ abilities to effectively discover data, make sense of...Predicting Team Performance Through Human Behavioral Sensing and Quantitative Workflow Instrumentation Matthew Daggett1, Kyle O’Brien1, Michael

  11. A theoretical model to address organizational human conflict and disruptive behavior in health care organizations.

    Science.gov (United States)

    Piper, Llewellyn E

    2006-01-01

    This article proposes a theoretical model for leaders to use to address organizational human conflict and disruptive behavior in health care organizations. Leadership is needed to improve interpersonal relationships within the workforce. A workforce with a culture of internal conflict will be unable to achieve its full potential to delivery quality patient care.

  12. A Lesson on Social Role Theory: An Example of Human Behavior in the Social Environment Theory

    OpenAIRE

    Agnes M. Dulin

    2007-01-01

    This paper discusses the social role theory, a theory of Human Behavior in the Social Environment (HBSE). Relevance of this topic is briefly discussed, as well as a definition of the theory and its historical background. Empirical research that employs this theory will be discussed.Recommendations will be made for future theory development and implications for social work education will conclude the discussion.

  13. 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)

  14. To survive and protect: testosterone and the neuroendocrinology of human social behavior

    NARCIS (Netherlands)

    Bos, P.A.

    2012-01-01

    The studies reported in this thesis show that despite the development that the human brain has undergone during evolution, this organ and the behavior it brings forth is still strongly sensitive to the effects of testosterone. Testosterone strengthens the neural response to sounds of crying babies,

  15. A Comparative Study of Two Different Teaching and Curricular Agreements in Human Behavior and Social Environment.

    Science.gov (United States)

    Sze, William C.; And Others

    1979-01-01

    The use of social work faculty to teach human behavior and social environment content to undergraduate social work students vs using faculty from other departments is examined in this research study. The data suggest there were no significant differences between groups of students. (Author/MLW)

  16. Cultivating Curiosity: Integrating Hybrid Teaching in Courses in Human Behavior in the Social Environment

    Science.gov (United States)

    Rodriguez-Keyes, Elizabeth; Schneider, Dana A.

    2013-01-01

    This study illustrates an experience of implementing a hybrid model for teaching human behavior in the social environment in an urban university setting. Developing a hybrid model in a BSW program arose out of a desire to reach students in a different way. Designed to promote curiosity and active learning, this particular hybrid model has students…

  17. 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…

  18. PUSH(ing) Limits: Using Fiction in the Classroom for Human Behavior and the Social Environment

    Science.gov (United States)

    Mendoza, Natasha S.; Bonta, Kimberly; Horn, Philip; Moore, Erin; Gibson, Allison; Simmons, David

    2012-01-01

    The use of fiction and autobiography in social science course work has been shown to enhance students' learning experience. Using the novel PUSH, by Sapphire, we designed a curriculum supplement for the social work course, human behavior and the social environment (HBSE) that encourages students to integrate course content in an innovative way and…

  19. Human behavior and environmental sustainability : Problems, driving forces, and research topics

    NARCIS (Netherlands)

    Vlek, Charles; Steg, Linda

    2007-01-01

    Social and behavioral research is crucial for securing environmental sustainability and improving human living environments. To put the following articles into broader perspective, we first give an overview of worldwide developments in environmental quality and trends in resource use. Second, five g

  20. Toward an animal model for antisocial behavior : parallels between mice and humans

    NARCIS (Netherlands)

    Sluyter, F; Arseneault, L; Moffitt, TE; Veenema, AH; de Boer, S; Koolhaas, JM

    The goal of this article is to examine whether mouse lines genetically selected for short and long attack latencies are good animal models for antisocial behavior in humans. To this end, we compared male Short and Long Attack Latency mice (SAL and LAL, respectively) with the extremes of the Dunedin

  1. The Psychological Evaluation of Child Sexual Abuse Using the Louisville Behavior Checklist and Human Figure Drawing.

    Science.gov (United States)

    Chantler, Lisa; And Others

    1993-01-01

    This study investigated methods for accurately identifying sexually abused children (n=26), mental health clinic-referred children (n=37), and community children (n=39), ages 6-12. Results suggest limited support for the Louisville Behavior Checklist but caution in using the Emotional Indicator Scoring System for Human Figure Drawings in the…

  2. Human behavior and environmental sustainability : Problems, driving forces, and research topics

    NARCIS (Netherlands)

    Vlek, Charles; Steg, Linda

    2007-01-01

    Social and behavioral research is crucial for securing environmental sustainability and improving human living environments. To put the following articles into broader perspective, we first give an overview of worldwide developments in environmental quality and trends in resource use. Second, five

  3. Science and Human Behavior translated into Portuguese: Ciência e Comportamento Humano.

    Science.gov (United States)

    Todorov, João Claudio

    2003-11-01

    Science and Human Behavior was translated to Portuguese as part of the effort to begin a psychology course at the University of Brasília 40 years ago; one of the many results of the first visit of Fred S. Keller to Brazil. The book has been used continuously in undergraduate courses in Brazil since 1967.

  4. Defy or ally : Neuroendocrine regulation of human socio-emotional behavior

    NARCIS (Netherlands)

    Hermans, E.J.

    2006-01-01

    Evolution has created a human brain that is characterized by a layered, hierarchical organization. These superimposed layers have gradually evolved to generate ever more complex forms of socio-emotional behavior. The present thesis centers on the neurobiological substrates that generate this behavio

  5. To survive and protect: testosterone and the neuroendocrinology of human social behavior

    NARCIS (Netherlands)

    Bos, P.A.

    2012-01-01

    The studies reported in this thesis show that despite the development that the human brain has undergone during evolution, this organ and the behavior it brings forth is still strongly sensitive to the effects of testosterone. Testosterone strengthens the neural response to sounds of crying babies,

  6. Toward an animal model for antisocial behavior : parallels between mice and humans

    NARCIS (Netherlands)

    Sluyter, F; Arseneault, L; Moffitt, TE; Veenema, AH; de Boer, S; Koolhaas, JM

    2003-01-01

    The goal of this article is to examine whether mouse lines genetically selected for short and long attack latencies are good animal models for antisocial behavior in humans. To this end, we compared male Short and Long Attack Latency mice (SAL and LAL, respectively) with the extremes of the Dunedin

  7. The Origins of Sex Differences in Human Behavior: Evolved Dispositions versus Social Roles.

    Science.gov (United States)

    Eagly, Alice H.; Wood, Wendy

    1999-01-01

    Explores whether evolved disposition that differs by sex or social structure explains sex differences in human behavior. Illustrates the explanatory power of each theory, and reviews a study (D. Buss, 1989) that supports the social structural theory with respect to mate preference. (SLD)

  8. Engineering monitoring expert system's developer

    Science.gov (United States)

    Lo, Ching F.

    1991-01-01

    This research project is designed to apply artificial intelligence technology including expert systems, dynamic interface of neural networks, and hypertext to construct an expert system developer. The developer environment is specifically suited to building expert systems which monitor the performance of ground support equipment for propulsion systems and testing facilities. The expert system developer, through the use of a graphics interface and a rule network, will be transparent to the user during rule constructing and data scanning of the knowledge base. The project will result in a software system that allows its user to build specific monitoring type expert systems which monitor various equipments used for propulsion systems or ground testing facilities and accrues system performance information in a dynamic knowledge base.

  9. Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology

    Science.gov (United States)

    Barrett, Christopher L.; Bisset, Keith; Chen, Jiangzhuo; Eubank, Stephen; Lewis, Bryan; Kumar, V. S. Anil; Marathe, Madhav V.; Mortveit, Henning S.

    Human behavior, social networks, and the civil infrastructures are closely intertwined. Understanding their co-evolution is critical for designing public policies and decision support for disaster planning. For example, human behaviors and day to day activities of individuals create dense social interactions that are characteristic of modern urban societies. These dense social networks provide a perfect fabric for fast, uncontrolled disease propagation. Conversely, people’s behavior in response to public policies and their perception of how the crisis is unfolding as a result of disease outbreak can dramatically alter the normally stable social interactions. Effective planning and response strategies must take these complicated interactions into account. In this chapter, we describe a computer simulation based approach to study these issues using public health and computational epidemiology as an illustrative example. We also formulate game-theoretic and stochastic optimization problems that capture many of the problems that we study empirically.

  10. International Space Station Human Behavior and Performance Competency Model: Volume II

    Science.gov (United States)

    Schmidt, Lacey

    2008-01-01

    This document further defines the behavioral markers identified in the document "Human Behavior and Performance Competency Model" Vol. I. The Human Behavior and Performance (HBP) competencies were recommended as requirements to participate in international long duration missions, and form the basis for determining the HBP training curriculum for long duration crewmembers. This document provides details, examples, knowledge areas, and affective skills to support the use of the HBP competencies in training and evaluation. This document lists examples and details specific to HBP competencies required of astronauts/cosmonauts who participate in ISS expedition and other international long-duration missions. Please note that this model does not encompass all competencies required. While technical competencies are critical for crewmembers, they are beyond the scope of this document. Additionally, the competencies in this model (and subsequent objectives) are not intended to limit the internal activities or training programs of any international partner.

  11. 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....

  12. Minimizing Human Risk: Human Performance Models in the Space Human Factors and Habitability and Behavioral Health and Performance Elements

    Science.gov (United States)

    Gore, Brian F.

    2016-01-01

    Human space exploration has never been more exciting than it is today. Human presence to outer worlds is becoming a reality as humans are leveraging much of our prior knowledge to the new mission of going to Mars. Exploring the solar system at greater distances from Earth than ever before will possess some unique challenges, which can be overcome thanks to the advances in modeling and simulation technologies. The National Aeronautics and Space Administration (NASA) is at the forefront of exploring our solar system. NASA's Human Research Program (HRP) focuses on discovering the best methods and technologies that support safe and productive human space travel in the extreme and harsh space environment. HRP uses various methods and approaches to answer questions about the impact of long duration missions on the human in space including: gravity's impact on the human body, isolation and confinement on the human, hostile environments impact on the human, space radiation, and how the distance is likely to impact the human. Predictive models are included in the HRP research portfolio as these models provide valuable insights into human-system operations. This paper will provide an overview of NASA's HRP and will present a number of projects that have used modeling and simulation to provide insights into human-system issues (e.g. automation, habitat design, schedules) in anticipation of space exploration.

  13. Evaluation technology of human behavior cognition; Ningen kodo ninchi hyoka gijutsu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    For human engineering and improvement of the living environment, the evaluation technology of human behavior cognition was studied. For the future reformation and creation of economic structure, the following are required: establishment of safe and affluent communities, further improvement of the safety and harmonious balance of people, lives and society, and R & D close to people and social needs. Introduction of Product Liability law and a fail-safe concept are examples of such efforts. However, since many accidents are found in the human society, the relation between human errors and human characteristics should be studied in detail. The cognitive science of human behavior is an objective evaluation technology from the viewpoint of human being, object, environment and society. Based on these social and technological background, the feasibility of the evaluation technology is studied, and the future trend and skeleton of this project are clarified. The domestic and foreign trends of technologies concerned are thus surveyed, and the important points, features, skeleton and ripple effect of the technology are summarized. 500 refs., 70 figs., 5 tabs.

  14. Applications of fuzzy sets to rule-based expert system development

    Science.gov (United States)

    Lea, Robert N.

    1989-01-01

    Problems of implementing rule-based expert systems using fuzzy sets are considered. A fuzzy logic software development shell is used that allows inclusion of both crisp and fuzzy rules in decision making and process control problems. Results are given that compare this type of expert system to a human expert in some specific applications. Advantages and disadvantages of such systems are discussed.

  15. Reflection group on 'Expert Culture'

    Energy Technology Data Exchange (ETDEWEB)

    Eggermont, G

    2000-07-01

    As part of SCK-CEN's social sciences and humanities programme, a reflection group on 'Expert Culture' was established. The objectives of the reflection group are: (1) to clarify the role of SCK-CEN experts; (2) to clarify the new role of expertise in the evolving context of risk society; (3) to confront external views and internal SCK-CEN experiences on expert culture; (4) to improve trust building of experts and credibility of SCK-CEN as a nuclear actor in society; (5) to develop a draft for a deontological code; (6) to integrate the approach in training on assertivity and communication; (7) to create an output for a topical day on the subject of expert culture. The programme, achievements and perspectives of the refection group are summarised.

  16. Toward a theory of distributed word expert natural language parsing

    Science.gov (United States)

    Rieger, C.; Small, S.

    1981-01-01

    An approach to natural language meaning-based parsing in which the unit of linguistic knowledge is the word rather than the rewrite rule is described. In the word expert parser, knowledge about language is distributed across a population of procedural experts, each representing a word of the language, and each an expert at diagnosing that word's intended usage in context. The parser is structured around a coroutine control environment in which the generator-like word experts ask questions and exchange information in coming to collective agreement on sentence meaning. The word expert theory is advanced as a better cognitive model of human language expertise than the traditional rule-based approach. The technical discussion is organized around examples taken from the prototype LISP system which implements parts of the theory.

  17. Towards the Semantic Web Expert System

    OpenAIRE

    Verhodubs, O; Grundspeņķis, J

    2011-01-01

    The paper presents a conception of the Semantic Web Expert System which is the logical continuation of the expert system development. The Semantic Web Expert System emerges as the result of evolution of expert system concept and it means expert system moving toward the Web and using new Semantic Web technologies. The proposed conception of the Semantic Web Expert System promises to have new useful features that distinguish it from other types of expert systems

  18. Sexual risk behavior among injection drug-using human immunodeficiency virus positive clients.

    Science.gov (United States)

    Singh, B K; Koman, J J; Catan, V M; Souply, K L; Birkel, R C; Golaszewski, T J

    1993-06-01

    This study examined sexual risk behavior of 154 seropositive Hispanic injection drug-using clients who were a subsample of a larger study. The results revealed that while nearly 71% followed safe sex practices at a 6-month follow-up, the other 29% were following risky sexual behaviors. Among males who were 25 years of age or younger, slightly over 58% were practicing unsafe sex. Among females, those in the 31-35 age group were all following risky sexual behaviors. Generally, those who lived with their sexual partners, females, and younger clients tended to follow risky sexual behaviors. These findings are very significant in the light of the heterosexual transmission of Human Immunodeficiency Virus (HIV). Educational and case management programs are needed to provide such clients with an understanding of the possibility of HIV transmission to their sexual partners and to their children in case of pregnancies.

  19. Skill in Expert Dogs

    Science.gov (United States)

    Helton, William S.

    2007-01-01

    The motor control of novice participants is often cognitively demanding and susceptible to interference by other tasks. As people develop expertise, their motor control becomes less susceptible to interference from other tasks. Researchers propose a transition in human motor skill from active control to automaticity. This progression may also be…

  20. Ask the Experts

    Science.gov (United States)

    Science Teacher, 2005

    2005-01-01

    Two science questions are answered: (1) How can someone have one brown eye and one blue eye?, and (2) Why are magnets attracted to some metals, but not all metals? It is very rare that a human will have two irises of different colors. This condition, heterochromia, can be a normal variant or the result of an ocular disease. Heterochromia can…

  1. Spatiotemporal detection of unusual human population behavior using mobile phone data.

    Science.gov (United States)

    Dobra, Adrian; Williams, Nathalie E; Eagle, Nathan

    2015-01-01

    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 and spatial variance in responses to extreme events. Our behavioral anomaly detection system and extensive discussion of results are a significant contribution to the long-term project of creating an effective real-time event detection system with mobile phone data and we discuss the implications of our findings for future research to this end.

  2. Spatiotemporal detection of unusual human population behavior using mobile phone data.

    Directory of Open Access Journals (Sweden)

    Adrian Dobra

    Full Text Available 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 and spatial variance in responses to extreme events. Our behavioral anomaly detection system and extensive discussion of results are a significant contribution to the long-term project of creating an effective real-time event detection system with mobile phone data and we discuss the implications of our findings for future research to this end.

  3. The contributions of oxytocin and vasopressin pathway genes to human behavior.

    Science.gov (United States)

    Ebstein, Richard P; Knafo, Ariel; Mankuta, David; Chew, Soo Hong; Lai, Poh San

    2012-03-01

    Arginine vasopressin (AVP) and oxytocin (OXT) are social hormones and mediate affiliative behaviors in mammals and as recently demonstrated, also in humans. There is intense interest in how these simple nonapeptides mediate normal and abnormal behavior, especially regarding disorders of the social brain such as autism that are characterized by deficits in social communication and social skills. The current review examines in detail the behavioral genetics of the first level of human AVP-OXT pathway genes including arginine vasopressin 1a receptor (AVPR1a), oxytocin receptor (OXTR), AVP (AVP-neurophysin II [NPII]) and OXT (OXT neurophysin I [NPI]), oxytocinase/vasopressinase (LNPEP), ADP-ribosyl cyclase (CD38) and arginine vasopressin 1b receptor (AVPR1b). Wherever possible we discuss evidence from a variety of research tracks including molecular genetics, imaging genomics, pharmacology and endocrinology that support the conclusions drawn from association studies of social phenotypes and detail how common polymorphisms in AVP-OXT pathway genes contribute to the behavioral hard wiring that enables individual Homo sapiens to interact successfully with conspecifics. This article is part of a Special Issue entitled Oxytocin, Vasopressin, and Social Behavior.

  4. Expert Robots For Automated Packaging And Processing

    Science.gov (United States)

    Slutzky, G. D.; Hall, E. L.; Shell, R. L.

    1989-02-01

    A variety of problems in automated packaging and processing seem ready for expert robotic solutions. Such problems as automated palletizing, bin-picking, automated stoilw and retrieval, automated kitting of parts for assembly, and automated warehousing are currently being considered. The use of expert robots which consist of specialized computer programs, manipulators and integrated sensors has been demonstrated with robot Chedkers, peg games, etc. Actual solutions for automated palletizing, pit-carb basket loading, etc. have also been developed for industrial applications at our Center. The generic concepts arising from this research will be described, unsolved problems discussed, and some important tools demonstrated. The significance of this work lies in its broad application to a host of generic industrial problems which can improve quality, reduce waste, are eliminate human injuries.

  5. [Expert medical witness testimony of maxillofacial injuries].

    Science.gov (United States)

    Orihovac, Zeljko; Macan, Darko

    2008-07-01

    The basic principles of expert medical witness testimony of the maxillofacial region are described. The specific anatomic characteristics of the region are emphasized, especially in view of the fact that face is the most exposed part of the human body. Post-traumatic deformities of the maxillofacial region involve soft tissues of the face and mouth as well as bony structures of the viscerocranium and teeth. Endured physical pain, lessening of life activities, disfigurement and requirement of assistance by third person are separately described as an important part of expert medical witness testimony of the maxillofacial region. The number of lawsuits raised against physicians has significantly increased in the past several years, more often in cases where the patients are dissatisfied with the results of cosmetic surgery, especially when these procedures are performed on the face.

  6. "Replicable effects of primes on human behavior": Correction to Payne et al. (2016).

    Science.gov (United States)

    2016-12-01

    Reports an error in "Replicable effects of primes on human behavior" by B. Keith Payne, Jazmin L. Brown-Iannuzzi and Chris Loersch (Journal of Experimental Psychology: General, 2016[Oct], Vol 145[10], 1269-1279). In the article, the graph in Figure 5 did not contain the asterisk mentioned in the figure caption, which was intended to indicate a statistically significant difference between bet and pass prime. The online version of this article has been corrected. (The following abstract of the original article appeared in record 2016-46925-002.) The effect of primes (i.e., incidental cues) on human behavior has become controversial. Early studies reported counterintuitive findings, suggesting that primes can shape a wide range of human behaviors. Recently, several studies failed to replicate some earlier priming results, raising doubts about the reliability of those effects. We present a within-subjects procedure for priming behavior, in which participants decide whether to bet or pass on each trial of a gambling game. We report 6 replications (N = 988) showing that primes consistently affected gambling decisions when the decision was uncertain. Decisions were influenced by primes presented visibly, with a warning to ignore the primes (Experiments 1 through 3) and with subliminally presented masked primes (Experiment 4). Using a process dissociation procedure, we found evidence that primes influenced responses through both automatic and controlled processes (Experiments 5 and 6). Results provide evidence that primes can reliably affect behavior, under at least some conditions, without intention. The findings suggest that the psychological question of whether behavior priming effects are real should be separated from methodological issues affecting how easily particular experimental designs will replicate. (PsycINFO Database Record

  7. Using Expert System Job Aids: A Primer.

    Science.gov (United States)

    Carr, Clay

    1989-01-01

    Explains how current commercial expert system technology can be used to create useful job aids. Expert systems are defined, situations in which an expert system job aid will be most effective are described, expert system shells are discussed, and three commercial expert system products are described. (LRW)

  8. Using Expert System Job Aids: A Primer.

    Science.gov (United States)

    Carr, Clay

    1989-01-01

    Explains how current commercial expert system technology can be used to create useful job aids. Expert systems are defined, situations in which an expert system job aid will be most effective are described, expert system shells are discussed, and three commercial expert system products are described. (LRW)

  9. Network approaches for expert decisions in sports.

    Science.gov (United States)

    Glöckner, Andreas; Heinen, Thomas; Johnson, Joseph G; Raab, Markus

    2012-04-01

    This paper focuses on a model comparison to explain choices based on gaze behavior via simulation procedures. We tested two classes of models, a parallel constraint satisfaction (PCS) artificial neuronal network model and an accumulator model in a handball decision-making task from a lab experiment. Both models predict action in an option-generation task in which options can be chosen from the perspective of a playmaker in handball (i.e., passing to another player or shooting at the goal). Model simulations are based on a dataset of generated options together with gaze behavior measurements from 74 expert handball players for 22 pieces of video footage. We implemented both classes of models as deterministic vs. probabilistic models including and excluding fitted parameters. Results indicated that both classes of models can fit and predict participants' initially generated options based on gaze behavior data, and that overall, the classes of models performed about equally well. Early fixations were thereby particularly predictive for choices. We conclude that the analyses of complex environments via network approaches can be successfully applied to the field of experts' decision making in sports and provide perspectives for further theoretical developments.

  10. A Study of Expert System for Career Selection: Literature Review

    Directory of Open Access Journals (Sweden)

    Waghmode M. L

    2015-09-01

    Full Text Available Expert system uses human knowledge stored inside a computer to solve problems those require human expertise for solving. Knowledge expert system helps to support for making better decision. There is need of career guidance for students at college level. Expert system plays an important role to facilitate decision making, diagnosis of diseases etc. Expert system for career selection can be developed using Fuzzy logic, neural network for guiding students for selecting proper career stream. From the literature review it has found that in Maharashtra comparatively very less research took place on expert system for career selection. Hence there is wide scope in expert system development for career guidance which will assist secondary and higher secondary students in Maharashtra for selecting proper career. Through this paper researcher thrown light on literature review of career selection expert systems. Here for career selection researcher reviewed 43 literatures including 2-conference proceeding, 8-Books, 22- Journals, 1-Report, 5-Thesis, 3-Websites, 2-Encyclopaedia articles and 2-generic articles. Articles referred are from last two decades and majority of them are latest.

  11. ESCAP holds expert group meeting on population issues facing adolescents.

    Science.gov (United States)

    1997-01-01

    This article summarizes the activities at the ESCAP Population Division Expert Group Meeting on Adolescents that was held during September-October 1997 in Bangkok, Thailand. The meeting was a follow-up to the 1994 International Conference on Population and Development (ICPD). The meeting considered 1) the ICPD recommendations; 2) the recommendations contained in the Jakarta Plan of Action on Human Resource Development; and 3) the Proposals for Action on Human Resources Development for Youth in Asia and the Pacific. Participants included about 25 people from Australia, Bangladesh, China, India, Indonesia, Philippines, Sri Lanka, and Thailand. The conference relied on 8 invited experts, two resource persons, advisors from the UNFPA Country Support Team for East and Southeast Asia, and representatives of UNFPA, the Population Council, and the East-West Center. A concern was the declining age of menarche of girls in the ESCAP region and the increasing age of marriage. During the time of menarche and marriage, girls are migrating and moving away from their family and community in rural areas. Family structure and relationships are changing. Increases are observed in adolescent premarital sexual activity, the incidence of sexually transmitted diseases, substance abuse, teenage pregnancy, and abortion. The mass media and information technologies have both a positive and a negative influence on adolescents. Parent-child communication exchanges and teacher-student exchanges are "less than ideal." Old traditions and practices change slower than people change. Boys and girls are affected differently by the sociocultural and economic environment. The societal norms set expectations for behavior that may conflict with individual beliefs and practices. Changes brought by globalization and rapid economic growth provide greater opportunity for young girls and women to obtain employment and autonomy.

  12. The Human Behavioral Ecology of Contemporary World Issues : Applications to Public Policy and International Development.

    Science.gov (United States)

    Tucker, Bram; Rende Taylor, Lisa

    2007-09-01

    Human behavioral ecology (HBE) began as an attempt to explain human economic, reproductive, and social behavior using neodarwinian theory in concert with theory from ecology and economics, and ethnographic methods. HBE has addressed subsistence decision-making, cooperation, life history trade-offs, parental investment, mate choice, and marriage strategies among hunter-gatherers, herders, peasants, and wage earners in rural and urban settings throughout the world. Despite our rich insights into human behavior, HBE has very rarely been used as a tool to help the people with whom we work. This article introduces a special issue of Human Nature which explores the application of HBE to significant world issues through the design and critique of public policy and international development projects. The articles by Tucker, Shenk, Leonetti et al., and Neil were presented at the 104th annual meeting of the American Anthropological Association (AAA) in Washington, D.C., in December 2005, in the first organized session of the nascent Evolutionary Anthropology Section (EAS). We conclude this introduction by summarizing some theoretical challenges to applying HBE, and ways in which evolutionary anthropologists can contribute to solving tough world issues.

  13. Effect of cholesterol and triglycerides levels on the rheological behavior of human blood

    Science.gov (United States)

    Moreno, Leonardo; Calderas, Fausto; Sanchez-Olivares, Guadalupe; Medina-Torres, Luis; Sanchez-Solis, Antonio; Manero, Octavio

    2015-02-01

    Important public health problems worldwide such as obesity, diabetes, hyperlipidemia and coronary diseases are quite common. These problems arise from numerous factors, such as hyper-caloric diets, sedentary habits and other epigenetic factors. With respect to Mexico, the population reference values of total cholesterol in plasma are around 200 mg/dL. However, a large proportion has higher levels than this reference value. In this work, we analyze the rheological properties of human blood obtained from 20 donors, as a function of cholesterol and triglyceride levels, upon a protocol previously approved by the health authorities. Samples with high and low cholesterol and triglyceride levels were selected and analyzed by simple-continuous and linear-oscillatory shear flow. Rheometric properties were measured and related to the structure and composition of human blood. In addition, rheometric data were modeled by using several constitutive equations: Bautista-Manero-Puig (BMP) and the multimodal Maxwell equations to predict the flow behavior of human blood. Finally, a comparison was made among various models, namely, the BMP, Carreau and Quemada equations for simple shear rate flow. An important relationship was found between cholesterol, triglycerides and the structure of human blood. Results show that blood with high cholesterol levels (400 mg/dL) has flow properties fully different (higher viscosity and a more pseudo-plastic behavior) than blood with lower levels of cholesterol (tendency to Newtonian behavior or viscosity plateau at low shear rates).

  14. 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

  15. Applications of agent-based simulation for human socio-cultural behavior modeling.

    Science.gov (United States)

    Jiang, Hong; Karwowski, Waldemar; Ahram, Tareq Z

    2012-01-01

    Agent-based modeling and simulation (ABMS) has gained wide attention over the past few years. ABMS is a powerful simulation modeling technique that has a number of applications, including applications to real-world business problems [1]. This modeling technique has been used by scientists to analyze complex system-level behavior by simulating the system from the bottom up. The major application of ABMS includes social, political, biology, and economic sciences. This paper provides an overview of ABMS applications with the emphasis on modeling human socio-cultural behavior (HSCB).

  16. Design of an expert system for phonetic speech recognition

    Energy Technology Data Exchange (ETDEWEB)

    Carbonell, N.; Haton, J.P.; Pierrel, J.M.; Lonchamp, F.

    1983-07-01

    Expert systems have been extensively used as a means for integrating the expertise of a human being into an artificial intelligence system. The authors are presently designing an expert system which will integrate the strategy and the knowledge of a phonetician reading a speech spectrogram. Their goal is twofold, firstly to obtain a better insight into the acoustic-decoding of speech, and, secondly, to improve the efficiency of present automatic phonetic recognition systems. This paper presents a preliminary description of the project, especially the overall strategy of the expert and the role of duration parameters in the segmentation and identification processes.

  17. Human Behavior & Low Energy Architecture: Linking Environmental Adaptation, Personal Comfort, & Energy Use in the Built Environment

    Science.gov (United States)

    Langevin, Jared

    Truly sustainable buildings serve to enrich the daily sensory experience of their human inhabitants while consuming the least amount of energy possible; yet, building occupants and their environmentally adaptive behaviors remain a poorly characterized variable in even the most "green" building design and operation approaches. This deficiency has been linked to gaps between predicted and actual energy use, as well as to eventual problems with occupant discomfort, productivity losses, and health issues. Going forward, better tools are needed for considering the human-building interaction as a key part of energy efficiency strategies that promote good Indoor Environmental Quality (IEQ) in buildings. This dissertation presents the development and implementation of a Human and Building Interaction Toolkit (HABIT), a framework for the integrated simulation of office occupants' thermally adaptive behaviors, IEQ, and building energy use as part of sustainable building design and operation. Development of HABIT begins with an effort to devise more reliable methods for predicting individual occupants' thermal comfort, considered the driving force behind the behaviors of focus for this project. A long-term field study of thermal comfort and behavior is then presented, and the data it generates are used to develop and validate an agent-based behavior simulation model. Key aspects of the agent-based behavior model are described, and its predictive abilities are shown to compare favorably to those of multiple other behavior modeling options. Finally, the agent-based behavior model is linked with whole building energy simulation in EnergyPlus, forming the full HABIT program. The program is used to evaluate the energy and IEQ impacts of several occupant behavior scenarios in the simulation of a case study office building for the Philadelphia climate. Results indicate that more efficient local heating/cooling options may be paired with wider set point ranges to yield up to 24

  18. Expert opinion vs. empirical evidence

    Science.gov (United States)

    Herman, Rod A; Raybould, Alan

    2014-01-01

    Expert opinion is often sought by government regulatory agencies when there is insufficient empirical evidence to judge the safety implications of a course of action. However, it can be reckless to continue following expert opinion when a preponderance of evidence is amassed that conflicts with this opinion. Factual evidence should always trump opinion in prioritizing the information that is used to guide regulatory policy. Evidence-based medicine has seen a dramatic upturn in recent years spurred by examples where evidence indicated that certain treatments recommended by expert opinions increased death rates. We suggest that scientific evidence should also take priority over expert opinion in the regulation of genetically modified crops (GM). Examples of regulatory data requirements that are not justified based on the mass of evidence are described, and it is suggested that expertise in risk assessment should guide evidence-based regulation of GM crops. PMID:24637724

  19. Cornell Mixing Zone Expert System

    Science.gov (United States)

    This page provides an overview Cornell Mixing Zone Expert System water quality modeling and decision support system designed for environmental impact assessment of mixing zones resulting from wastewater discharge from point sources

  20. Experts views' on Digital Competence

    OpenAIRE

    Janssen, José; Stoyanov, Slavi

    2013-01-01

    Janssen, J., & Stoyanov, S. (2012, 20 November). Online Consultation for a Digital Competence Framework: Experts' views on Digital Competence. Workshop presentation at the Institute for Prospective Technological Studies, Seville, Spain.

  1. Expert systems in clinical microbiology.

    Science.gov (United States)

    Winstanley, Trevor; Courvalin, Patrice

    2011-07-01

    This review aims to discuss expert systems in general and how they may be used in medicine as a whole and clinical microbiology in particular (with the aid of interpretive reading). It considers rule-based systems, pattern-based systems, and data mining and introduces neural nets. A variety of noncommercial systems is described, and the central role played by the EUCAST is stressed. The need for expert rules in the environment of reset EUCAST breakpoints is also questioned. Commercial automated systems with on-board expert systems are considered, with emphasis being placed on the "big three": Vitek 2, BD Phoenix, and MicroScan. By necessity and in places, the review becomes a general review of automated system performances for the detection of specific resistance mechanisms rather than focusing solely on expert systems. Published performance evaluations of each system are drawn together and commented on critically.

  2. The perivascular phenotype and behaviors of dedifferentiated cells derived from human mature adipocytes.

    Science.gov (United States)

    Song, Ning; Kou, Liang; Lu, Xiao-Wen; Sugawara, Atsunori; Shimizu, Yutaka; Wu, Min-Ke; Du, Li; Wang, Hang; Sato, Soh; Shen, Jie-Fei

    2015-02-13

    Derived from mature adipocytes, dedifferentiated fat (DFAT) cells represent a special group of multipotent cells. However, their phenotype and cellular nature remain unclear. Our study found that human DFAT cells adopted perivascular characteristics and behaviors. Flow cytometry and immunofluorescent staining revealed that human DFAT cells positively expressed markers highly related to perivascular cell lineages, such as CD140b, NG2 and desmin, but were negative for common endothelial markers, including CD31, CD34, and CD309. Furthermore, DFAT cells displayed vascular network formation ability in Matrigel, and they noticeably promoted and stabilized the vessel structures formed by human umbilical vascular endothelial cells (HUVECs) in vitro. These results provide novel evidence on the pericyte nature of human DFAT cells, further supporting the recent model for the perivascular origin of adult stem cells, in which tissue-specific progenitor cells in mesenchymal tissues associate with blood vessels, exhibiting perivascular characteristics and functions.

  3. An expert system based intelligent control scheme for space bioreactors

    Science.gov (United States)

    San, Ka-Yiu

    1988-01-01

    An expert system based intelligent control scheme is being developed for the effective control and full automation of bioreactor systems in space. The scheme developed will have the capability to capture information from various resources including heuristic information from process researchers and operators. The knowledge base of the expert system should contain enough expertise to perform on-line system identification and thus be able to adapt the controllers accordingly with minimal human supervision.

  4. Scale-free fluctuations in behavioral performance: delineating changes in spontaneous behavior of humans with induced sleep deficiency.

    Directory of Open Access Journals (Sweden)

    Jeremi K Ochab

    Full Text Available The timing and dynamics of many diverse behaviors of mammals, e.g., patterns of animal foraging or human communication in social networks exhibit complex self-similar properties reproducible over multiple time scales. In this paper, we analyze spontaneous locomotor activity of healthy individuals recorded in two different conditions: during a week of regular sleep and a week of chronic partial sleep deprivation. After separating activity from rest with a pre-defined activity threshold, we have detected distinct statistical features of duration times of these two states. The cumulative distributions of activity periods follow a stretched exponential shape, and remain similar for both control and sleep deprived individuals. In contrast, rest periods, which follow power-law statistics over two orders of magnitude, have significantly distinct distributions for these two groups and the difference emerges already after the first night of shortened sleep. We have found steeper distributions for sleep deprived individuals, which indicates fewer long rest periods and more turbulent behavior. This separation of power-law exponents is the main result of our investigations, and might constitute an objective measure demonstrating the severity of sleep deprivation and the effects of sleep disorders.

  5. Experts in science and society

    CERN Document Server

    Gigerenzer, Gerd

    2004-01-01

    In today's complex world, we have come to rely increasingly on those who have expertise in specific areas and can bring their knowledge to bear on crucial social, political and scientific questions. Taking the viewpoint that experts are consulted when there is something important at stake for an individual, a group, or society at large, Experts in Science and Society explores expertise as a relational concept. How do experts balance their commitment to science with that to society? How does a society actually determine that a person has expertise? What personal traits are valued in an expert? From where does the expert derive authority? What makes new forms of expertise emerge? These and related questions are addressed from a wide range of areas in order to be inclusive, as well as to demonstrate similarities across areas. Likewise, in order to be culturally comparative, this volume includes examples and discussions of experts in different countries and even in different time periods. The topics include the r...

  6. Behaviorism

    National Research Council Canada - National Science Library

    Moore, J

    2011-01-01

    .... Watson proposed an alternative: classical S-R behaviorism. According to Watson, behavior was a subject matter in its own right, to be studied by the observational methods common to all sciences...

  7. A Review of Domestic Dogs' ("Canis Familiaris") Human-Like Behaviors: Or Why Behavior Analysts Should Stop Worrying and Love Their Dogs

    Science.gov (United States)

    Udell, Monique A. R.; Wynne, C. D. L.

    2008-01-01

    Dogs likely were the first animals to be domesticated and as such have shared a common environment with humans for over ten thousand years. Only recently, however, has this species' behavior been subject to scientific scrutiny. Most of this work has been inspired by research in human cognitive psychology and suggests that in many ways dogs are…

  8. A survey on human behavior towards energy saving for office worker in Malaysia

    Science.gov (United States)

    Mustafa, Nur Hanim; Husain, Mohd Nor; Aziz, Mohamad Zoinol Abidin Abdul; Othman, Mohd Azlishah; Malek, Fared

    2015-05-01

    Green environment is a space and energy efficient household, which can offer coziness and healthy living environment to its occupants. Human behavior is focuses to see the impact toward energy and also into green building. This probe can be taken in if everybody reads and share similar objectives in bringing off the energy in an efficient manner. This paper will present and watched over the survey feedback on energy usage by federal agency workers in Malaysia. The study will focus on the proletarians in the government sector since this population is the majority work in place. It is authoritative to present and support the tested data for a project doing, particularly connected to human existence. The matter is referred to discussing about human behavior to compare with the real situation information. Today, there are many researchers thought that the human activity as the primary ingredient for a monitoring arrangement. As a consequence, the energy monitoring system will improve the energy usage efficiency of the basic human actions in different places and surroundings.

  9. 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.

  10. Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior

    CERN Document Server

    Seer, Stefan; Ratti, Carlo

    2012-01-01

    Modeling crowd behavior relies on accurate data of pedestrian movements at a high level of detail. Imaging sensors such as cameras provide a good basis for capturing such detailed pedestrian motion data. However, currently available computer vision technologies, when applied to conventional video footage, still cannot automatically unveil accurate motions of groups of people or crowds from the image sequences. We present a novel data collection approach for studying crowd behavior which uses the increasingly popular low-cost sensor Microsoft Kinect. The Kinect captures both standard camera data and a three-dimensional depth map. Our human detection and tracking algorithm is based on agglomerative clustering of depth data captured from an elevated view - in contrast to the lateral view used for gesture recognition in Kinect gaming applications. Our approach transforms local Kinect 3D data to a common world coordinate system in order to stitch together human trajectories from multiple Kinects, which allows for ...

  11. Humans as Superorganisms: How Microbes, Viruses, Imprinted Genes, and Other Selfish Entities Shape Our Behavior.

    Science.gov (United States)

    Kramer, Peter; Bressan, Paola

    2015-07-01

    Psychologists and psychiatrists tend to be little aware that (a) microbes in our brains and guts are capable of altering our behavior; (b) viral DNA that was incorporated into our DNA millions of years ago is implicated in mental disorders; (c) many of us carry the cells of another human in our brains; and (d) under the regulation of viruslike elements, the paternally inherited and maternally inherited copies of some genes compete for domination in the offspring, on whom they have opposite physical and behavioral effects. This article provides a broad overview, aimed at a wide readership, of the consequences of our coexistence with these selfish entities. The overarching message is that we are not unitary individuals but superorganisms, built out of both human and nonhuman elements; it is their interaction that determines who we are.

  12. Problems with measuring peripheral oxytocin: can the data on oxytocin and human behavior be trusted?

    Science.gov (United States)

    McCullough, Michael E; Churchland, Patricia Smith; Mendez, Armando J

    2013-09-01

    Research on the neurobiological and behavioral effects of oxytocin (OT), as well as on its possible therapeutic applications, has intensified in the past decade. Accurate determination of peripheral OT levels is essential to reach meaningful conclusions and to motivate, support and inform clinical interventions. Different, but concordant, methods for measuring plasma OT have been developed over the past four decades, but since 2004 several commercially available methods have been favored in research with humans. Evaluation of these methods reveals that they lack reliability when used on unextracted samples of human fluids, and that they tag molecules in addition to OT, yielding estimates that are wildly discrepant with an extensive body of earlier findings that were obtained using methods that are well validated, but more laborious. An accurate, specific, and readily available method for measuring OT that can be adopted as the standard in the field is urgently needed for advances in our understanding of OT's roles in cognition and behavior.

  13. 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.

  14. HUMAN METHAMPHETAMINE PHARMACOKINETICS SIMULATED IN THE RAT: BEHAVIORAL AND NEUROCHEMICAL EFFECTS OF A 72- HOUR BINGE

    Science.gov (United States)

    Kuczenski, Ronald; Segal, David S.; Melega, William P.; Lacan, Goran; McCunney, Stanley J.

    2009-01-01

    Bingeing is one pattern of high dose methamphetamine (METH) abuse which involves continuous drug taking over several days and can result in psychotic behaviors for which the brain pathology remains poorly-defined. A corresponding animal model of this type of METH exposure may provide novel insights into the neurochemical and behavioral sequelae associated with this condition. Accordingly, to simulate the pharmacokinetic profile of a human METH binge exposure in rats we used a computer-controlled, intravenous METH procedure (dynamic infusion) to overcome species differences in METH pharmacokinetics and to replicate the human 12-h plasma METH half-life. Animals were treated over 13 weeks with escalating METH doses, using dynamic infusion, and then exposed to a binge in which drug was administered every 3 h for 72h. Throughout the binge, behavioral effects included unabated intense oral stereotypies in the absence of locomotion and in the absence of sleep. Decrements in regional brain dopamine, norepinephrine and serotonin levels, measured at 1 and 10 h after the last injection of the binge, had, with the exception of caudate-putamen dopamine and frontal cortex serotonin, recovered by 48 h. At 10 h after the last injection of the binge, [3H]ligand binding to dopamine and vesicular monoamine transporters in caudate-putamen were reduced by 35% and 13%, respectively. In a separate METH binge treated cohort, post-binge behavioral alterations were apparent in an attenuated locomotor response to a METH challenge infusion at 24h after the last injection of the binge. Collectively, the changes we characterized during and following a METH binge suggest that for humans under similar exposure conditions, multiple time-dependent neurochemical deficits contribute to their behavioral profiles. PMID:19571794

  15. Human methamphetamine pharmacokinetics simulated in the rat: behavioral and neurochemical effects of a 72-h binge.

    Science.gov (United States)

    Kuczenski, Ronald; Segal, David S; Melega, William P; Lacan, Goran; McCunney, Stanley J

    2009-10-01

    Bingeing is one pattern of high-dose methamphetamine (METH) abuse, which involves continuous drug taking over several days and can result in psychotic behaviors for which the brain pathology remains poorly defined. A corresponding animal model of this type of METH exposure may provide novel insights into the neurochemical and behavioral sequelae associated with this condition. Accordingly, to simulate the pharmacokinetic profile of a human METH binge exposure in rats, we used a computer-controlled, intravenous METH procedure (dynamic infusion, DI) to overcome species differences in METH pharmacokinetics and to replicate the human 12-h plasma METH half-life. Animals were treated over 13 weeks with escalating METH doses, using DI, and then exposed to a binge in which drug was administered every 3 h for 72 h. Throughout the binge, behavioral effects included unabated intense oral stereotypies in the absence of locomotion and in the absence of sleep. Decrements in regional brain dopamine, norepinephrine, and serotonin levels, measured at 1 and 10 h after the last injection of the binge, had, with the exception of caudate-putamen dopamine and frontal cortex serotonin, recovered by 48 h. At 10 h after the last injection of the binge, [(3)H]ligand binding to dopamine and vesicular monoamine transporters in caudate-putamen were reduced by 35 and 13%, respectively. In a separate METH binge-treated cohort, post-binge behavioral alterations were apparent in an attenuated locomotor response to a METH challenge infusion at 24 h after the last injection of the binge. Collectively, the changes we characterized during and after a METH binge suggest that for human beings under similar exposure conditions, multiple time-dependent neurochemical deficits contribute to their behavioral profiles.

  16. Influence of functional variant of neuronal nitric oxide synthase on impulsive behaviors in humans.

    Science.gov (United States)

    Reif, Andreas; Jacob, Christian P; Rujescu, Dan; Herterich, Sabine; Lang, Sebastian; Gutknecht, Lise; Baehne, Christina G; Strobel, Alexander; Freitag, Christine M; Giegling, Ina; Romanos, Marcel; Hartmann, Annette; Rösler, Michael; Renner, Tobias J; Fallgatter, Andreas J; Retz, Wolfgang; Ehlis, Ann-Christine; Lesch, Klaus-Peter

    2009-01-01

    Human personality is characterized by substantial heritability but few functional gene variants have been identified. Although rodent data suggest that the neuronal isoform of nitric oxide synthase (NOS-I) modifies diverse behaviors including aggression, this has not been translated to human studies. To investigate the functionality of an NOS1 promoter repeat length variation (NOS1 Ex1f variable number tandem repeat [VNTR]) and to test whether it is associated with phenotypes relevant to impulsivity. Molecular biological studies assessed the cellular consequences of NOS1 Ex1f VNTR; association studies were conducted to investigate the impact of this genetic variant on impulsivity; imaging genetics was applied to determine whether the polymorphism is functional on a neurobiological level. Three psychiatric university clinics in Germany. More than 3200 subjects were included in the association study: 1954 controls, 403 patients with personality disorder, 383 patients with adult attention-deficit/hyperactivity disorder (ADHD), 151 with familial ADHD, 189 suicide attempters, and 182 criminal offenders. For the association studies, the major outcome criteria were phenotypes relevant to impulsivity, namely, the dimensional phenotype conscientiousness and the categorical phenotypes adult ADHD, aggression, and cluster B personality disorder. A novel functional promoter polymorphism in NOS1 was associated with traits related to impulsivity, including hyperactive and aggressive behaviors. Specifically, the short repeat variant was more frequent in adult ADHD, cluster B personality disorder, and autoaggressive and heteroaggressive behavior. This short variant came along with decreased transcriptional activity of the NOS1 exon 1f promoter and alterations in the neuronal transcriptome including RGS4 and GRIN1. On a systems level, it was associated with hypoactivation of the anterior cingulate cortex, which is involved in the processing of emotion and reward in behavioral

  17. A Brief Review of the Usefulness of "The Health Behavior Theory" in Changing Human Health Behavior for Good

    OpenAIRE

    2007-01-01

    Eating, physical acting and resting behavior is considered as important health behavior to promote our health level. Several health behavior theories have been developed applying to change our health behaviors for good in counseling, health education and action programs. There are three types of health behavior theory, mainly utilizing to person, mainly applying to group and to population. The stages of behavior change theory is useful for groups as well as for people in health counseling, in...

  18. Significant changes in sexual behavior after a diagnosis of human papillomavirus-positive and human papillomavirus-negative oral cancer.

    Science.gov (United States)

    Taberna, Miren; Inglehart, Ronald C; Pickard, Robert K L; Fakhry, Carole; Agrawal, Amit; Katz, Mira L; Gillison, Maura L

    2017-04-01

    Sexual behavior and oral human papillomavirus (HPV) infection are risk factors for oral squamous cell carcinoma (OSCC). The effects of OSCC diagnosis and treatment on subsequent relationship stress and sexual behavior are unknown. Incident cases of HPV-positive or HPV-negative OSCC in patients who had a partnered relationship and partners of patients with oropharyngeal cancer were eligible for a study in which surveys were administered at diagnosis and at the 6-month follow-up time point to assess relationship distress, HPV transmission and concerns about health consequences, and sexual behavior. The frequency distributions of responses, stratified by tumor HPV status, were compared at baseline and follow-up. In total, 262 patients with OSCC and 81 partners were enrolled. Among the patients, 142 (54.2%) had HPV-positive OSCC, and 120 (45.8%) had HPV-negative OSCC. Relationship distress was infrequently reported, and 69% of patients felt that their relationship had strengthened since the cancer diagnosis. Both HPV-positive patients (25%) and their partners (14%) reported feelings of guilt or responsibility for the diagnosis of an HPV-caused cancer. Concern over sexual, but not nonsexual, HPV transmission to partners was reported by 50%. Significant declines in the frequency of vaginal and oral sexual behaviors were reported at follow-up, regardless of tumor HPV status. From baseline to 6 months, significant increases in abstinence from vaginal sex (from 10% to 34%; P Sexual behavior is an important quality-of-life outcome to assess within clinical trials. [See related editorial on pages 000-000, this issue.] Cancer 2017. © 2017 American Cancer Society. Cancer 2017;123:1156-1165. © 2016 American Cancer Society. © 2017 American Cancer Society.

  19. Organized spirochetal behavior in human subgingival plaques - A virulence factor in periodontal infections?

    OpenAIRE

    Keyes, Paul H.; Rams, Thomas E.

    1993-01-01

    The organization and behavior of spirochetes in human subgingival plaques was studied with phase-contrast microscopy. Wet-mounts of non-dispersed subgingival microbial specimens from deep pockets of 10 persons with untreated adult periodontitis revealed “brush formations” with outer coatings of closely-massed spirochetes exhibiting synchronized motility. Monolayers of closely-packed spirochetes co-aggregated with “brush formation” monofilaments were obtained by using mineral oil as a mounting...

  20. 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.

  1. A Lesson on Social Role Theory: An Example of Human Behavior in the Social Environment Theory

    Directory of Open Access Journals (Sweden)

    Agnes M. Dulin

    2007-05-01

    Full Text Available This paper discusses the social role theory, a theory of Human Behavior in the Social Environment (HBSE. Relevance of this topic is briefly discussed, as well as a definition of the theory and its historical background. Empirical research that employs this theory will be discussed.Recommendations will be made for future theory development and implications for social work education will conclude the discussion.

  2. Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries

    Science.gov (United States)

    Hwang, Jusun; Lee, Kyunglee; Walsh, Daniel P.; Kim, SangWha; Sleeman, Jonathan M.; Lee, Hang

    2017-01-01

    Wildlife-associated diseases and pathogens have increased in importance; however, management of a large number of diseases and diversity of hosts is prohibitively expensive. Thus, the determination of priority wildlife pathogens and risk factors for disease emergence is warranted. We used an online questionnaire survey to assess release and exposure risks, and consequences of wildlife-associated diseases and pathogens in the Republic of Korea (ROK). We also surveyed opinions on pathways for disease exposure, and risk factors for disease emergence and spread. For the assessment of risk, we employed a two-tiered, statistical K-means clustering algorithm to group diseases into three levels (high, medium and low) of perceived risk based on release and exposure risks, societal consequences and the level of uncertainty of the experts’ opinions. To examine the experts’ perceived risk of routes of introduction of pathogens and disease amplification and spread, we used a Bayesian, multivariate normal order-statistics model. Six diseases or pathogens, including four livestock and two wildlife diseases, were identified as having high risk with low uncertainty. Similarly, 13 diseases were characterized as having high risk with medium uncertainty with three of these attributed to livestock, six associated with human disease, and the remainder having the potential to affect human, livestock and wildlife (i.e., One Health). Lastly, four diseases were described as high risk with high certainty, and were associated solely with fish diseases. Experts identified migration of wildlife, international human movement and illegal importation of wildlife as the three routes posing the greatest risk of pathogen introduction into ROK. Proximity of humans, livestock and wildlife was the most significant risk factor for promoting the spread of wildlife-associated diseases and pathogens, followed by high density of livestock populations, habitat loss and environmental degradation, and

  3. Social Differentiation in Common Bottlenose Dolphins (Tursiops truncatus) that Engage in Human-Related Foraging Behaviors.

    Science.gov (United States)

    Kovacs, Carolyn J; Perrtree, Robin M; Cox, Tara M

    2017-01-01

    Both natural and human-related foraging strategies by the common bottlenose dolphin (Tursiops truncatus) have resulted in social segregation in several areas of the world. Bottlenose dolphins near Savannah, Georgia beg at an unprecedented rate and also forage behind commercial shrimp trawlers, providing an opportunity to study the social ramifications of two human-related foraging behaviors within the same group of animals. Dolphins were photo-identified via surveys conducted throughout estuarine waterways around Savannah in the summers of 2009-2011. Mean half-weight indices (HWI) were calculated for each foraging class, and community division by modularity was used to cluster animals based on association indices. Pairs of trawler dolphins had a higher mean HWI (0.20 ± 0.07) than pairs of non-trawler dolphins (0.04 ± 0.02) or mixed pairs (0.02 ± 0.02). In contrast, pairs of beggars, non-beggars, and mixed pairs all had similar means, with HWI between 0.05-0.07. Community division by modularity produced a useful division (0.307) with 6 clusters. Clusters were predominately divided according to trawler status; however, beggars and non-beggars were mixed throughout clusters. Both the mean HWI and social clusters revealed that the social structure of common bottlenose dolphins near Savannah, Georgia was differentiated based on trawler status but not beg status. This finding may indicate that foraging in association with trawlers is a socially learned behavior, while the mechanisms for the propagation of begging are less clear. This study highlights the importance of taking into account the social parameters of a foraging behavior, such as how group size or competition for resources may affect how the behavior spreads. The positive or negative ramifications of homophily may influence whether the behaviors are exhibited by individuals within the same social clusters and should be considered in future studies examining social relationships and foraging behaviors.

  4. 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.

  5. Using Task Analytic Models and Phenotypes of Erroneous Human Behavior to Discover System Failures Using Model Checking.

    Science.gov (United States)

    Bolton, Matthew L; Bass, Ellen J

    2010-09-01

    Breakdowns in complex systems often occur as a result of system elements interacting in ways unanticipated by analysts or designers. In systems with human operators, human-automation interaction associated with both normative and erroneous human behavior can contribute to such failures. This paper presents a method for automatically generating task analytic models encompassing both erroneous and normative human behavior from normative task models. The resulting model can be integrated into a formal system model so that system safety properties can be formally verified with a model checker. This allows analysts to prove that a human automation-interactive system (as represented by the model) will or will not satisfy safety properties with both normative and generated erroneous human behavior. This method is illustrated with a case study: the operation of a radiation therapy machine. In this example, a problem resulting from a generated erroneous human action is discovered. Future extensions of our method are discussed.

  6. 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

  7. Explicit instructions and consolidation promote rewiring of automatic behaviors in the human mind.

    Science.gov (United States)

    Szegedi-Hallgató, Emese; Janacsek, Karolina; Vékony, Teodóra; Tasi, Lia Andrea; Kerepes, Leila; Hompoth, Emőke Adrienn; Bálint, Anna; Németh, Dezső

    2017-06-29

    One major challenge in human behavior and brain sciences is to understand how we can rewire already existing perceptual, motor, cognitive, and social skills or habits. Here we aimed to characterize one aspect of rewiring, namely, how we can update our knowledge of sequential/statistical regularities when they change. The dynamics of rewiring was explored from learning to consolidation using a unique experimental design which is suitable to capture the effect of implicit and explicit processing and the proactive and retroactive interference. Our results indicate that humans can rewire their knowledge of such regularities incidentally, and consolidation has a critical role in this process. Moreover, old and new knowledge can coexist, leading to effective adaptivity of the human mind in the changing environment, although the execution of the recently acquired knowledge may be more fluent than the execution of the previously learned one. These findings can contribute to a better understanding of the cognitive processes underlying behavior change, and can provide insights into how we can boost behavior change in various contexts, such as sports, educational settings or psychotherapy.

  8. Remeshed smoothed particle hydrodynamics simulation of the mechanical behavior of human organs.

    Science.gov (United States)

    Hieber, Simone E; Walther, Jens H; Koumoutsakos, Petros

    2004-01-01

    In computer aided surgery the accurate simulation of the mechanical behavior of human organs is essential for the development of surgical simulators. In this paper we introduce particle based simulations of two different human organ materials modeled as linear viscoelastic solids. The constitutive equations for the material behavior are discretized using a particle approach based on the Smoothed Particle Hydrodynamics (SPH) method while the body surface is tracked using level sets. A key aspect of this approach is its flexibility which allows the simulation of complex time varying topologies with large deformations. The accuracy of the original formulation is significantly enhanced by using a particle reinitialization technique resulting in remeshed Smoothed Particle Hydrodynamics (rSPH). The mechanical parameters of the systems used in the simulations are derived from experimental measurements on human cadaver organs. We compare the mechanical behavior of liver- and kidney-like materials based on the dynamic simulations of a tensile test case. Moreover, we present a particle based reconstruction of the liver topology and its strain distribution under a small local load. Finally, we demonstrate a unified formulation of fluid structure interaction based on particle methods.

  9. Comparative Study of the Critical Chain and PERT Planning Methods: No Bad Human Behaviors Involved

    Directory of Open Access Journals (Sweden)

    Chia-Ling Huang

    2012-08-01

    Full Text Available Since 1997, Critical Chain Project Management (CCPM method has received a lot of attention and hundreds of successful cases have also been reported and all claims that it is possible to rapidly achieve highly reliable on-time delivery (OTD with short project lead time (PLT in multi-project environment. The main reason that CCPM can achieve highly reliable OTD and short PLT in multi-project environment can be contributed to that CCPM makes good use of safety time imbedded in tasks by two changes: logistical change and bad human behaviors change. However, if no bad human behaviors involved, does the mere emphasis on logistical change contributed to the success of project time reduction and OTD improvement? This is the key question still remained. A comparative study of the critical chain and Program Evaluation and Review Technique (PERT planning methods, no bad human behaviors involved, was performed in this study. The simulation results showed that in terms of mean project time, CCPM is no significantly better than PERT. However, in terms of plan reliability, CCPM achieve higher reliable than PERT did and this is the contribution of CCPM logistical change.

  10. The oldest anatomically modern humans from far southeast Europe: direct dating, culture and behavior.

    Directory of Open Access Journals (Sweden)

    Sandrine Prat

    Full Text Available BACKGROUND: Anatomically Modern Humans (AMHs are known to have spread across Europe during the period coinciding with the Middle to Upper Paleolithic transition. Whereas their dispersal into Western Europe is relatively well established, evidence of an early settlement of Eastern Europe by modern humans are comparatively scarce. METHODOLOGY/PRINCIPAL FINDING: Based on a multidisciplinary approach for the study of human and faunal remains, we describe here the oldest AMH remains from the extreme southeast Europe, in conjunction with their associated cultural and paleoecological background. We applied taxonomy, paleoecology, and taphonomy combined with geomorphology, stratigraphy, archeology and radiocarbon dating. More than 160 human bone remains have been discovered. They originate from a well documented Upper Paleolithic archeological layer (Gravettian cultural tradition from the site of Buran-Kaya III located in Crimea (Ukraine. The combination of non-metric dental traits and the morphology of the occipital bones allow us to attribute the human remains to Anatomically Modern Humans. A set of human and faunal remains from this layer has been radiocarbon dated by Accelerator Mass Spectrometry. The direct-dating results of human bone establish a secure presence of AMHs at 31,900+240/-220 BP in this region. They are the oldest direct evidence of the presence of AMHs in a well documented archeological context. Based on taphonomical observations (cut marks and distribution of skeletal elements, they represent the oldest Upper Paleolithic modern humans from Eastern Europe, showing post-mortem treatment of the dead as well. CONCLUSION/SIGNIFICANCE: These findings are essential for the debate on the spread of modern humans in Europe during the Upper Paleolithic, as well as their cultural behaviors.

  11. The oldest anatomically modern humans from far southeast Europe: direct dating, culture and behavior.

    Science.gov (United States)

    Prat, Sandrine; Péan, Stéphane C; Crépin, Laurent; Drucker, Dorothée G; Puaud, Simon J; Valladas, Hélène; Lázničková-Galetová, Martina; van der Plicht, Johannes; Yanevich, Alexander

    2011-01-01

    Anatomically Modern Humans (AMHs) are known to have spread across Europe during the period coinciding with the Middle to Upper Paleolithic transition. Whereas their dispersal into Western Europe is relatively well established, evidence of an early settlement of Eastern Europe by modern humans are comparatively scarce. Based on a multidisciplinary approach for the study of human and faunal remains, we describe here the oldest AMH remains from the extreme southeast Europe, in conjunction with their associated cultural and paleoecological background. We applied taxonomy, paleoecology, and taphonomy combined with geomorphology, stratigraphy, archeology and radiocarbon dating. More than 160 human bone remains have been discovered. They originate from a well documented Upper Paleolithic archeological layer (Gravettian cultural tradition) from the site of Buran-Kaya III located in Crimea (Ukraine). The combination of non-metric dental traits and the morphology of the occipital bones allow us to attribute the human remains to Anatomically Modern Humans. A set of human and faunal remains from this layer has been radiocarbon dated by Accelerator Mass Spectrometry. The direct-dating results of human bone establish a secure presence of AMHs at 31,900+240/-220 BP in this region. They are the oldest direct evidence of the presence of AMHs in a well documented archeological context. Based on taphonomical observations (cut marks and distribution of skeletal elements), they represent the oldest Upper Paleolithic modern humans from Eastern Europe, showing post-mortem treatment of the dead as well. These findings are essential for the debate on the spread of modern humans in Europe during the Upper Paleolithic, as well as their cultural behaviors.

  12. Fuzzy Expert System for Heart Attack Diagnosis

    Science.gov (United States)

    Hassan, Norlida; Arbaiy, Nureize; Shah, Noor Aziyan Ahmad; Afizah Afif@Afip, Zehan

    2017-08-01

    Heart attack is one of the serious illnesses and reported as the main killer disease. Early prevention is significant to reduce the risk of having the disease. The prevention efforts can be strengthen through awareness and education about risk factor and healthy lifestyle. Therefore the knowledge dissemination is needed to play role in order to distribute and educate public in health care management and disease prevention. Since the knowledge dissemination in medical is important, there is a need to develop a knowledge based system that can emulate human intelligence to assist decision making process. Thereby, this study utilized hybrid artificial intelligence (AI) techniques to develop a Fuzzy Expert System for Diagnosing Heart Attack Disease (HAD). This system integrates fuzzy logic with expert system, which helps the medical practitioner and people to predict the risk and as well as diagnosing heart attack based on given symptom. The development of HAD is expected not only providing expert knowledge but potentially become one of learning resources to help citizens to develop awareness about heart-healthy lifestyle.

  13. The effects of estradiol on mood and behavior in human female adolescents: a systematic review.

    Science.gov (United States)

    Balzer, Ben W R; Duke, Sally-Anne; Hawke, Catherine I; Steinbeck, Katharine S

    2015-03-01

    Mood disorders and health risk behaviors increase in adolescence. Puberty is considered to contribute to these events. However, the precise impact of pubertal hormone changes to the emergence of mood disorders and risk behaviors is relatively unclear. It is important that inappropriate attribution is not made. Our aim was to determine what is known about the effect of endogenous estradiol on human adolescent girls' mood and behavior. The databases searched were MEDLINE, Embase, PsycINFO, Education Resources Information Center (ERIC), Pre-MEDLINE, Web of Science, and Scopus for all dates to October 2014. For inclusion, contemporaneous hormone and mood or behavioral assessment was required. Data were extracted following a template created by the authors. Fourteen studies met our inclusion criteria. There was some consistency in findings for mood and estradiol levels, with associations between estradiol and depression and emotional tone and risk taking. Results were less consistent for studies assessing other mood and behavioral outcomes. Most studies were cross-sectional in design; assay methodologies used in older studies may lack the precision to detect early pubertal hormone levels. Three longitudinal and several cross-sectional studies indicate potential associations between estradiol and certain mood or affective states, especially depression and mood variability though there are insufficient data to confirm that the rise in estradiol during puberty is causative. We believe that it is important for health professionals to take care when attributing adolescent psychopathology to puberty hormones, as the current data supporting these assertions are limited.

  14. Implementation of a Distributed Expert System for Submarine Shipboard Maintenance Using VP-Expert

    Science.gov (United States)

    1990-03-01

    topics require the coordinated assesment and evaluation of knowledge from multiple human experts. Standalone knowledge bases should be loosely or tightly...RESET Is no smoking FIND Isnosmoking RESET Is ventilate FIND Is-ventilate RESET Is-none FIND Is none DISPLAY" 53 Press any key to continue...-" CLS...THEN Is no smoking = is DISPLAY " - Explosive atmosphere/unsafe gasses in environment: Ensure the smoking lamp is out in vicinity of (VPlocation

  15. Weather and place-based human behavior: recreational preferences and sensitivity

    Science.gov (United States)

    de Freitas, C. R.

    2015-01-01

    This study examines the links between biometeorological variables and the behavior of beach recreationists along with their rating of overall weather conditions. To identify and describe significance of on-site atmospheric conditions, two separate forms of response are examined. The first is sensory perception of the immediate atmospheric surround expressed verbally, which was the subject of earlier work. In the research reported here, on-site observations of behavior that reflect the effects of weather and climate are examined. By employing, independently, separate indicators of on-site experience, the reliability of each is examined and interpreted and apparent threshold conditions verified. The study site is King's Beach located on the coast of Queensland, Australia. On-site observations of atmospheric variables and beach user behavior are made for the daylight hours of 45 days spread over a 12-month period. The results show that behavioral data provide reliable and meaningful indications of the significance of the atmospheric environment for leisure. Atmospheric conditions within the zone of acceptability are those that the beach users can readily cope with or modify by a range of minor behavioral adjustments. Optimal weather conditions appear to be those requiring no specific behavioral adjustment. Attendance levels reflect only the outer limits of acceptability of the meteorological environment, while duration of visit enables calibration of levels of approval in so far as it reflects rating of on-site weather within a broad zone of tolerance. In a broad theoretical sense, the results add to an understanding of the relationship between weather and human behavior. This information is potentially useful in effective tourism management and planning.

  16. Weather and place-based human behavior: recreational preferences and sensitivity.

    Science.gov (United States)

    de Freitas, C R

    2015-01-01

    This study examines the links between biometeorological variables and the behavior of beach recreationists along with their rating of overall weather conditions. To identify and describe significance of on-site atmospheric conditions, two separate forms of response are examined. The first is sensory perception of the immediate atmospheric surround expressed verbally, which was the subject of earlier work. In the research reported here, on-site observations of behavior that reflect the effects of weather and climate are examined. By employing, independently, separate indicators of on-site experience, the reliability of each is examined and interpreted and apparent threshold conditions verified. The study site is King's Beach located on the coast of Queensland, Australia. On-site observations of atmospheric variables and beach user behavior are made for the daylight hours of 45 days spread over a 12-month period. The results show that behavioral data provide reliable and meaningful indications of the significance of the atmospheric environment for leisure. Atmospheric conditions within the zone of acceptability are those that the beach users can readily cope with or modify by a range of minor behavioral adjustments. Optimal weather conditions appear to be those requiring no specific behavioral adjustment. Attendance levels reflect only the outer limits of acceptability of the meteorological environment, while duration of visit enables calibration of levels of approval in so far as it reflects rating of on-site weather within a broad zone of tolerance. In a broad theoretical sense, the results add to an understanding of the relationship between weather and human behavior. This information is potentially useful in effective tourism management and planning.

  17. Expert system application education project

    Science.gov (United States)

    Gonzelez, Avelino J.; Ragusa, James M.

    1988-01-01

    Artificial intelligence (AI) technology, and in particular expert systems, has shown potential applicability in many areas of operation at the Kennedy Space Center (KSC). In an era of limited resources, the early identification of good expert system applications, and their segregation from inappropriate ones can result in a more efficient use of available NASA resources. On the other hand, the education of students in a highly technical area such as AI requires an extensive hands-on effort. The nature of expert systems is such that proper sample applications for the educational process are difficult to find. A pilot project between NASA-KSC and the University of Central Florida which was designed to simultaneously address the needs of both institutions at a minimum cost. This project, referred to as Expert Systems Prototype Training Project (ESPTP), provided NASA with relatively inexpensive development of initial prototype versions of certain applications. University students likewise benefit by having expertise on a non-trivial problem accessible to them at no cost. Such expertise is indispensible in a hands-on training approach to developing expert systems.

  18. Different Motile Behaviors of Human Hematopoietic Stem versus Progenitor Cells at the Osteoblastic Niche

    Directory of Open Access Journals (Sweden)

    Katie Foster

    2015-11-01

    Full Text Available Despite advances in our understanding of interactions between mouse hematopoietic stem cells (HSCs and their niche, little is known about communication between human HSCs and the microenvironment. Using a xenotransplantation model and intravital imaging, we demonstrate that human HSCs display distinct motile behaviors to their hematopoietic progenitor cell (HPC counterparts, and the same pattern can be found between mouse HSCs and HPCs. HSCs become significantly less motile after transplantation, while progenitor cells remain motile. We show that human HSCs take longer to find their niche than previously expected and suggest that the niche be defined as the position where HSCs stop moving. Intravital imaging is the only technique to determine where in the bone marrow stem cells stop moving, and future analyses should focus on the environment surrounding the HSC at this point.

  19. Do lambs perceive regular human stroking as pleasant? Behavior and heart rate variability analyses.

    Directory of Open Access Journals (Sweden)

    Marjorie Coulon

    Full Text Available Stroking by humans is beneficial to the human-animal relationship and improves welfare in many species that express intraspecific allogrooming, but very few studies have looked at species like sheep that do not express such contact except around parturition. This study investigated the way lambs perceive regular human tactile contact using behavioral and physiological responses. Twenty-four lambs were reared and bucket-fed in groups of four. All were stroked daily by their familiar caregiver. At 8 weeks of age, the lambs were individually tested in their home pen but in a 1×1m open-barred pen after a 15 h period of habituation to physical separation from peers while remaining in visual and auditory contact. Half of the lambs received stroking by their caregiver for 8 min and half were exposed to their caregiver's immobile presence. Heart rate and heart rate variability were recorded and analyzed by 2-min slots over the same interval based on three measures: mean heart rate value (HR, root mean square of successive differences (RMSSD and standard deviation of all intervals measured between consecutive sinus beats (SDNN. Behavioral responses (ear postures of the lamb and time spent in contact with the familiar caregiver, on the knees of the familiar caregiver, and moving were recorded throughout the test. Lamb HR decreased continuously while in the presence of their caregiver. Lambs being stroked showed slower HR and higher RMSSD which reflected positive emotional states compared to lambs left unstroked. All behavioral variables were highly correlated with the main component axis of the PCA analyses: the more the animals stayed in contact with their caregiver, the less they moved and the more their ears were hanging. This first component clearly differentiates lambs being stroked or not. Behavioral and physiological observations support the hypothesis that gentle physical contact with the caregiver is perceived positively by lambs.

  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. Harnessing the power of conversations with virtual humans to change health behaviors.

    Science.gov (United States)

    Albright, Glenn; Adam, Cyrille; Serri, Deborah; Bleeker, Seth; Goldman, Ron

    2016-01-01

    Skillful, collaborative conversations are powerful tools to improve physical and mental health. Whether you are a parent talking with your child about the dangers of substance abuse, an educator concerned about a student's signs of psychological distress, a veteran worried about a buddy who is contemplating suicide, or a healthcare professional wanting to better engage patients to increase treatment compliance, having the skill, confidence and motivation to engage in conversations can truly transform the health and well-being of those you interact with. Kognito develops role-play simulations that prepare individuals to effectively lead real-life conversations that measurably improve social, emotional, and physical health. The behavior change model that drives the simulations draws upon components of game mechanics, virtual human simulation technology and integrates evidence-based instructional design components as well as principles of social-cognitive theory and neuroscience such as motivational interviewing, emotional regulation, empathy and mindfulness. In the simulations, users or enter a risk-free practice environment and engage in a conversation with intelligent, fully animated, and emotionally responsive virtual characters that model human behavior. It is in practicing these conversations, and receiving feedback from a virtual coach, that users learn to better lead conversations in real life. Numerous longitudinal studies have shown that users who complete Kognito simulations demonstrate statistically significant and sustained increases in attitudinal variables that predict behavior change including preparedness, likelihood, and self-efficacy to better manage conversations. Pending the target population, each online or mobile simulation resulted in desired behavior changes ranging from increased referrals of students, patients or veterans in psychological distress to mental health support services, or increasing physician patient-centered communication or

  2. Harnessing the power of conversations with virtual humans to change health behaviors

    Science.gov (United States)

    Adam, Cyrille; Serri, Deborah; Bleeker, Seth; Goldman, Ron

    2016-01-01

    Skillful, collaborative conversations are powerful tools to improve physical and mental health. Whether you are a parent talking with your child about the dangers of substance abuse, an educator concerned about a student’s signs of psychological distress, a veteran worried about a buddy who is contemplating suicide, or a healthcare professional wanting to better engage patients to increase treatment compliance, having the skill, confidence and motivation to engage in conversations can truly transform the health and well-being of those you interact with. Kognito develops role-play simulations that prepare individuals to effectively lead real-life conversations that measurably improve social, emotional, and physical health. The behavior change model that drives the simulations draws upon components of game mechanics, virtual human simulation technology and integrates evidence-based instructional design components as well as principles of social-cognitive theory and neuroscience such as motivational interviewing, emotional regulation, empathy and mindfulness. In the simulations, users or enter a risk-free practice environment and engage in a conversation with intelligent, fully animated, and emotionally responsive virtual characters that model human behavior. It is in practicing these conversations, and receiving feedback from a virtual coach, that users learn to better lead conversations in real life. Numerous longitudinal studies have shown that users who complete Kognito simulations demonstrate statistically significant and sustained increases in attitudinal variables that predict behavior change including preparedness, likelihood, and self-efficacy to better manage conversations. Pending the target population, each online or mobile simulation resulted in desired behavior changes ranging from increased referrals of students, patients or veterans in psychological distress to mental health support services, or increasing physician patient-centered communication or

  3. Process mining for individualized behavior modeling using wireless tracking in nursing homes.

    Science.gov (United States)

    Fernández-Llatas, Carlos; Benedi, José-Miguel; García-Gómez, Juan M; Traver, Vicente

    2013-11-11

    The analysis of human behavior patterns is increasingly used for several research fields. The individualized modeling of behavior using classical techniques requires too much time and resources to be effective. A possible solution would be the use of pattern recognition techniques to automatically infer models to allow experts to understand individual behavior. However, traditional pattern recognition algorithms infer models that are not readily understood by human experts. This limits the capacity to benefit from the inferred models. Process mining technologies can infer models as workflows, specifically designed to be understood by experts, enabling them to detect specific behavior patterns in users. In this paper, the eMotiva process mining algorithms are presented. These algorithms filter, infer and visualize workflows. The workflows are inferred from the samples produced by an indoor location system that stores the location of a resident in a nursing home. The visualization tool is able to compare and highlight behavior patterns in order to facilitate expert understanding of human behavior. This tool was tested with nine real users that were monitored for a 25-week period. The results achieved suggest that the behavior of users is continuously evolving and changing and that this change can be measured, allowing for behavioral change detection.

  4. Development of knowledge Base Expert System for Natural treatment of Diabetes disease

    CERN Document Server

    Jha, Sanjeev Kumar

    2012-01-01

    The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation) System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems) for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation) which is Visual Prolog 7.3 Application. The knowledge for the said system will be acquired from domain experts, texts and other related sources.

  5. Development of knowledge Base Expert System for Natural treatment of Diabetes disease

    Directory of Open Access Journals (Sweden)

    Sanjeev Kumar Jha

    2012-03-01

    Full Text Available The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation which is Visual Prolog 7.3 Application. The knowledge for the said system will be acquired from domain experts, texts and other related sources

  6. 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

    Full Text Available Abstract Background There is interest in defining mouse neurobiological phenotypes useful for studying autism spectrum disorders (ASD in both forward and reverse genetic approaches. A recurrent focus has been on high-order behavioral analyses, including learning and memory paradigms and social paradigms. However, well-studied mouse models, including for example Fmr1 knockout mice, do not show dramatic deficits in such high-order phenotypes, raising a question as to what constitutes useful phenotypes in ASD models. Methods To address this, we made use of a list of 112 disease genes etiologically involved in ASD to survey, on a large scale and with unbiased methods as well as expert review, phenotypes associated with a targeted disruption of these genes in mice, using the Mammalian Phenotype Ontology database. In addition, we compared the results with similar analyses for human phenotypes. Findings We observed four classes of neurobiological phenotypes associated with disruption of a large proportion of ASD genes, including: (1 Changes in brain and neuronal morphology; (2 electrophysiological changes; (3 neurological changes; and (4 higher-order behavioral changes. Alterations in brain and neuronal morphology represent quantitative measures that can be more widely adopted in models of ASD to understand cellular and network changes. Interestingly, the electrophysiological changes differed across different genes, indicating that excitation/inhibition imbalance hypotheses for ASD would either have to be so non-specific as to be not falsifiable, or, if specific, would not be supported by the data. Finally, it was significant that in analyses of both mouse and human databases, many of the behavioral alterations were neurological changes, encompassing sensory alterations, motor abnormalities, and seizures, as opposed to higher-order behavioral changes in learning and memory and social behavior paradigms. Conclusions The results indicated that mutations

  7. Behaviorism

    Science.gov (United States)

    Moore, J.

    2011-01-01

    Early forms of psychology assumed that mental life was the appropriate subject matter for psychology, and introspection was an appropriate method to engage that subject matter. In 1913, John B. Watson proposed an alternative: classical S-R behaviorism. According to Watson, behavior was a subject matter in its own right, to be studied by the…

  8. Behaviorism

    Science.gov (United States)

    Moore, J.

    2011-01-01

    Early forms of psychology assumed that mental life was the appropriate subject matter for psychology, and introspection was an appropriate method to engage that subject matter. In 1913, John B. Watson proposed an alternative: classical S-R behaviorism. According to Watson, behavior was a subject matter in its own right, to be studied by the…

  9. Multiple Human Tracking in Complex Situation by Data Assimilation with Pedestrian Behavior Model

    Science.gov (United States)

    Nakanishi, W.; Fuse, T.

    2012-07-01

    A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. Despite the importance of understanding pedestrian behavior in public space with regard to achieving more sophisticated space design and flow control, automatic human tracking in complex situation is still challenging when people move close to each other or are occluded by others. For this difficulty, we stochastically combine existing tracking method by image processing with simulation models of walking behavior. We describe a system in a form of general state space model and define the components of the model according to the review on related works. Then we apply the proposed method to the data acquired at the ticket gate of the railway station. We show the high performance of the method, as well as compare the result with other model to present the advantage of integrating the behavior model to the tracking method. We also show the method's ability to acquire passenger flow information such as ticket gate choice and OD data automatically from the tracking result.

  10. 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.

  11. International Space Station Human Behavior and Performance Competency Model: Volume I

    Science.gov (United States)

    Schmidt, Lacey

    2008-01-01

    This document defines Human Behavior and Performance (HBP) competencies that are recommended to be included as requirements to participate in international long duration missions. They were developed in response to the Multilateral Crew Operations Panel (MMOP) request to develop HBP training requirements for the International Space Station (ISS). The competency model presented here was developed by the ITCB HBPT WG and forms the basis for determining the HBP training curriculum for long duration crewmembers. This document lists specific HBP competencies and behaviors required of astronauts/cosmonauts who participate in ISS expedition and other international longduration missions. Please note that this model does not encompass all competencies required. For example, outside the scope of this document are cognitive skills and abilities, including but not limited to concentration, memorization, perception, imagination, and thinking. It is assumed that these skills, which are crucial in terms of human behavior and performance, are considered during selection phase since such professionally significant qualities of the operator should be taken into consideration in order to ensure sufficient baseline levels that can be further improved during general astronaut training. Also, technical competencies, even though critical for crewmembers, are beyond the scope of this document. It should also be noted that the competencies in this model (and subsequent objectives) are not intended to limit the internal activities or training programs of any international partner.

  12. Client perceptions in an initial interview as a function of therapist sex and expertness.

    Science.gov (United States)

    Brischetto, C M; Merluzzi, T V

    1981-01-01

    Therapy has been construed as a interpersonal influence process (Johnson & Matross, 1977; Strong, 1978). Consistent with that framework the present study investigated the effects of therapist sex and level of expertness on the perceptions of Ss in an initial interview. Male and female interviewers who were introduced as expert or nonexpert met individually for a 15-minute period of time with 60 male undergraduates. The Ss then rated the interviewers on perceived expertness, attractiveness, trustworthiness, persuasiveness, and their liking for the interviewer. Results indicated that male experts were rated lower in social attractiveness; however, introductions did not affect either perceived expertness or trustworthiness. The results suggest that reasonably competent therapist behavior may result in neutralizing sources of differential expertness. However, the degree of expertness may be used as a source of differential social or interpersonal attraction.

  13. Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior.

    Science.gov (United States)

    Van Nimmen, Katrien; Lombaert, Geert; De Roeck, Guido; Van den Broeck, Peter

    2016-04-13

    For slender and lightweight structures, vibration serviceability is a matter of growing concern, often constituting the critical design requirement. With designs governed by the dynamic performance under human-induced loads, a strong demand exists for the verification and refinement of currently available load models. The present contribution uses a 3D inertial motion tracking technique for the characterization of the in-field pedestrian behavior. The technique is first tested in laboratory experiments with simultaneous registration of the corresponding ground reaction forces. The experiments include walking persons as well as rhythmical human activities such as jumping and bobbing. It is shown that the registered motion allows for the identification of the time variant pacing rate of the activity. Together with the weight of the person and the application of generalized force models available in literature, the identified time-variant pacing rate allows to characterize the human-induced loads. In addition, time synchronization among the wireless motion trackers allows identifying the synchronization rate among the participants. Subsequently, the technique is used on a real footbridge where both the motion of the persons and the induced structural vibrations are registered. It is shown how the characterized in-field pedestrian behavior can be applied to simulate the induced structural response. It is demonstrated that the in situ identified pacing rate and synchronization rate constitute an essential input for the simulation and verification of the human-induced loads. The main potential applications of the proposed methodology are the estimation of human-structure interaction phenomena and the development of suitable models for the correlation among pedestrians in real traffic conditions.

  14. Sexual differentiation of human behavior: effects of prenatal and pubertal organizational hormones.

    Science.gov (United States)

    Berenbaum, Sheri A; Beltz, Adriene M

    2011-04-01

    A key question concerns the extent to which sexual differentiation of human behavior is influenced by sex hormones present during sensitive periods of development (organizational effects), as occurs in other mammalian species. The most important sensitive period has been considered to be prenatal, but there is increasing attention to puberty as another organizational period, with the possibility of decreasing sensitivity to sex hormones across the pubertal transition. In this paper, we review evidence that sex hormones present during the prenatal and pubertal periods produce permanent changes to behavior. There is good evidence that exposure to high levels of androgens during prenatal development results in masculinization of activity and occupational interests, sexual orientation, and some spatial abilities; prenatal androgens have a smaller effect on gender identity, and there is insufficient information about androgen effects on sex-linked behavior problems. There is little good evidence regarding long-lasting behavioral effects of pubertal hormones, but there is some suggestion that they influence gender identity and perhaps some sex-linked forms of psychopathology, and there are many opportunities to study this issue.

  15. Reward-based behaviors and emotional processing in human with narcolepsy-cataplexy

    Directory of Open Access Journals (Sweden)

    Sophie eBayard

    2013-05-01

    Full Text Available ajor advances in the past decade have led a better understanding of the pathophysiology of narcolepsy with cataplexy caused by the early loss of hypothalamic hypocretin neurons. Although a role for hypocretin in the regulation of sleep/wakefulness state is widely recognized, other functions, not necessarily related to arousal, have been identified. Hence, the hypocretin system enhances signaling in the mesolimbic pathways regulating reward processing, emotion and mood regulation, and addiction. Although studies on hypocretin-deficient mice have shown that hypocretin plays an essential role in reward-seeking, depression-like behavior and addiction, results in human narcolepsy remained subject to debate. Most of studies revealed that hypocretin-deficient narcolepsy patients either drug-free or medicated with psychostimulant had preferences towards risky choices in a decision-making task under ambiguity together with higher frequency of depressive symptoms and binge eating disorder compared to controls. However, human studies mostly reported the lack of association with pathological impulsivity and gambling, and substance and alcohol abuse in the context of narcolepsy-cataplexy. Prospective larger studies are required to confirm these findings in drug-free and medicated patients with narcolepsy. Inclusion of patients with other central hypersomnias without hypocretin deficiency will provide answer to the major question of the role of the hypocretin system in reward-based behaviors and emotional processing in humans.

  16. 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.

  17. Ages for the Middle Stone Age of southern Africa: implications for human behavior and dispersal.

    Science.gov (United States)

    Jacobs, Zenobia; Roberts, Richard G; Galbraith, Rex F; Deacon, Hilary J; Grün, Rainer; Mackay, Alex; Mitchell, Peter; Vogelsang, Ralf; Wadley, Lyn

    2008-10-31

    The expansion of modern human populations in Africa 80,000 to 60,000 years ago and their initial exodus out of Africa have been tentatively linked to two phases of technological and behavioral innovation within the Middle Stone Age of southern Africa-the Still Bay and Howieson's Poort industries-that are associated with early evidence for symbols and personal ornaments. Establishing the correct sequence of events, however, has been hampered by inadequate chronologies. We report ages for nine sites from varied climatic and ecological zones across southern Africa that show that both industries were short-lived (5000 years or less), separated by about 7000 years, and coeval with genetic estimates of population expansion and exit times. Comparison with climatic records shows that these bursts of innovative behavior cannot be explained by environmental factors alone.

  18. Problematic Aspects of the Use of Expert Systems in Law

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas

    2011-08-01

    Full Text Available Summary. The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack

  19. Problematic Aspects of the Use of Expert Systems in Law

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas

    2013-08-01

    Full Text Available The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack intellectual

  20. Expert Systems in Civil Engineering.

    Science.gov (United States)

    1986-01-01

    preparation for the next evaluation. Zozaya- Gorostiza and Hendrickson (18,p.4) allude to the importance of this for sensitivity analysis (i.e.- modifying...Intellignce, 2nd ed., Addison-Wesley Publishing Company, Inc., Reading,1984. Zozaya- Gorostiza , Carlos and Chris Hendrickson, An Expert 8ystem for

  1. QUEST: Quality of Expert Systems

    NARCIS (Netherlands)

    Perre, M.

    1991-01-01

    TNO Physics and Electronics laboratory, in collaboration with the University of Limburg and the Research Institute for Knowledge Systems, worked on a technology project named 'QUEST: Quality of Expert Systems' [FEL90]. QUEST was carried out under commision of the Dutch Ministry of Defence. A strong

  2. QUEST: Quality of Expert Systems

    NARCIS (Netherlands)

    Perre, M.

    1991-01-01

    TNO Physics and Electronics laboratory, in collaboration with the University of Limburg and the Research Institute for Knowledge Systems, worked on a technology project named 'QUEST: Quality of Expert Systems' [FEL90]. QUEST was carried out under commision of the Dutch Ministry of Defence. A strong

  3. Trends in Human Immunodeficiency Virus-Related Risk Behaviors among High School Students--United States, 1991-2005

    Science.gov (United States)

    Brener, Nancy; Kann, Laura; Lowry, Richard; Wechsler, Howell; Romero, Lisa

    2006-01-01

    This paper examined changes in human immunodeficiency virus (HIV)-related risk behaviors among high school students in the United States during 1991-2005. Data from 8 national Youth Risk Behavior Surveys conducted during that period were analyzed. During 1991-2005, the percentage of US high school students engaging in HIV-related sexual risk…

  4. Human behavior understanding in networked sensing theory and applications of networks of sensors

    CERN Document Server

    Spagnolo, Paolo; Distante, Cosimo

    2014-01-01

    This unique text/reference provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including such topics as systems design tools and techniques, in-network signals, and information processing. Additionally, the book examines a varied range of application scenarios, covering surveillance, indexing and retrieval, patient care, industrial safety, social and ambient

  5. More on contamination: the use of asymmetric molecular behavior to identify authentic ancient human DNA

    DEFF Research Database (Denmark)

    Malmström, Helena; Svensson, Emma M; Gilbert, M Thomas P;

    2007-01-01

    the reliability of one of the proposed criteria, that of appropriate molecular behavior. Using real-time polymerase chain reaction (PCR) and pyrosequencing, we have quantified the relative levels of authentic aDNA and contaminant human DNA sequences recovered from archaeological dog and cattle remains. In doing....... Furthermore, we find that there is a substantial increase in the relative proportions of authentic DNA to contaminant DNA as the PCR target fragment size is decreased. We therefore conclude that the degradation pattern in aDNA provides a quantifiable difference between authentic aDNA and modern contamination...

  6. The human endogenous circadian system causes greatest platelet activation during the biological morning independent of behaviors.

    Directory of Open Access Journals (Sweden)

    Frank A J L Scheer

    Full Text Available BACKGROUND: Platelets are involved in the thromboses that are central to myocardial infarctions and ischemic strokes. Such adverse cardiovascular events have day/night patterns with peaks in the morning (~9 AM, potentially related to endogenous circadian clock control of platelet activation. The objective was to test if the human endogenous circadian system influences (1 platelet function and (2 platelet response to standardized behavioral stressors. We also aimed to compare the magnitude of any effects on platelet function caused by the circadian system with that caused by varied standardized behavioral stressors, including mental arithmetic, passive postural tilt and mild cycling exercise. METHODOLOGY/PRINCIPAL FINDINGS: We studied 12 healthy adults (6 female who lived in individual laboratory suites in dim light for 240 h, with all behaviors scheduled on a 20-h recurring cycle to permit assessment of endogenous circadian function independent from environmental and behavioral effects including the sleep/wake cycle. Circadian phase was assessed from core body temperature. There were highly significant endogenous circadian rhythms in platelet surface activated glycoprotein (GP IIb-IIIa, GPIb and P-selectin (6-17% peak-trough amplitudes; p ≤ 0.01. These circadian peaks occurred at a circadian phase corresponding to 8-9 AM. Platelet count, ATP release, aggregability, and plasma epinephrine also had significant circadian rhythms but with later peaks (corresponding to 3-8 PM. The circadian effects on the platelet activation markers were always larger than that of any of the three behavioral stressors. CONCLUSIONS/SIGNIFICANCE: These data demonstrate robust effects of the endogenous circadian system on platelet activation in humans--independent of the sleep/wake cycle, other behavioral influences and the environment. The 9 AM timing of the circadian peaks of the three platelet surface markers, including platelet surface activated GPIIb-IIIa, the

  7. Towards a Fuzzy Expert System on Toxicological Data Quality Assessment.

    Science.gov (United States)

    Yang, Longzhi; Neagu, Daniel; Cronin, Mark T D; Hewitt, Mark; Enoch, Steven J; Madden, Judith C; Przybylak, Katarzyna

    2013-01-01

    Quality assessment (QA) requires high levels of domain-specific experience and knowledge. QA tasks for toxicological data are usually performed by human experts manually, although a number of quality evaluation schemes have been proposed in the literature. For instance, the most widely utilised Klimisch scheme1 defines four data quality categories in order to tag data instances with respect to their qualities; ToxRTool2 is an extension of the Klimisch approach aiming to increase the transparency and harmonisation of the approach. Note that the processes of QA in many other areas have been automatised by employing expert systems. Briefly, an expert system is a computer program that uses a knowledge base built upon human expertise, and an inference engine that mimics the reasoning processes of human experts to infer new statements from incoming data. In particular, expert systems have been extended to deal with the uncertainty of information by representing uncertain information (such as linguistic terms) as fuzzy sets under the framework of fuzzy set theory and performing inferences upon fuzzy sets according to fuzzy arithmetic. This paper presents an experimental fuzzy expert system for toxicological data QA which is developed on the basis of the Klimisch approach and the ToxRTool in an effort to illustrate the power of expert systems to toxicologists, and to examine if fuzzy expert systems are a viable solution for QA of toxicological data. Such direction still faces great difficulties due to the well-known common challenge of toxicological data QA that "five toxicologists may have six opinions". In the meantime, this challenge may offer an opportunity for expert systems because the construction and refinement of the knowledge base could be a converging process of different opinions which is of significant importance for regulatory policy making under the regulation of REACH, though a consensus may never be reached. Also, in order to facilitate the implementation

  8. Human dental pulp stem cell behavior using natural nanotolith/bacterial cellulose scaffolds for regenerative medicine.

    Science.gov (United States)

    Olyveira, Gabriel Molina; Acasigua, Gerson Arisoly Xavier; Costa, Ligia Maria Manzine; Scher, Cristiane Regina; Xavier Filho, Lauro; Pranke, Patricia Helena Lucas; Basmaji, Pierre

    2013-08-01

    Adhesion and Viability study with human dental pulp stem cell using natural nanotolith/bacterial cellulose scaffolds for regenerative medicine are presented at first time in this work. Nanotolith, are osteoinductors, i.e., they stimulate bone regeneration, enabling higher cells migration for bone tissue regeneration formation. This is mainly because nanotoliths are rich minerals present in the internal ear of bony fish. In addition, are part of a system which acts as a depth sensor and balance, acting as a sound vibrations detector and considered essential for the bone mineralization process, as in hydroxiapatites. Nanotoliths influence in bacterial cellulose was analyzed using transmission infrared spectroscopy (FTIR). Results shows that fermentation process and nanotoliths agglomeration decrease initial human dental pulp stem cell adhesion however tested bionanocomposite behavior has cell viability increase over time.

  9. Soil-transmitted helminthiases: implications of climate change and human behavior.

    Science.gov (United States)

    Weaver, Haylee J; Hawdon, John M; Hoberg, Eric P

    2010-12-01

    Soil-transmitted helminthiases (STHs) collectively cause the highest global burden of parasitic disease after malaria and are most prevalent in the poorest communities, especially in sub-Saharan Africa. Climate change is predicted to alter the physical environment through cumulative impacts of warming and extreme fluctuations in temperature and precipitation, with cascading effects on human health and wellbeing, food security and socioeconomic infrastructure. Understanding how the spectrum of climate change effects will influence STHs is therefore of critical importance to the control of the global burden of human parasitic disease. Realistic progress in the global control of STH in a changing climate requires a multidisciplinary approach that includes the sciences (e.g. thermal thresholds for parasite development and resilience) and social sciences (e.g. behavior and implementation of education and sanitation programs). Copyright © 2010 Elsevier Ltd. All rights reserved.

  10. Simulation of human behavior elements in a virtual world using decision trees

    Directory of Open Access Journals (Sweden)

    Sandra Mercado Pérez

    2013-05-01

    Full Text Available Human behavior refers to the way an individual responds to certain events or occurrences, naturally cannot predict how an individual can act, for it the computer simulation is used. This paper presents the development of the simulation of five possible human reactions within a virtual world, as well as the steps needed to create a decision tree that supports the selection of any of any of these reactions. For that creation it proposes three types of attributes, those are the personality, the environment and the level of reaction. The virtual world Second Life was selected because of its internal programming language LSL (Linden Scripting Language which allows the execution of predefined animation sequences or creates your own.

  11. Making a team of experts into an expert team.

    Science.gov (United States)

    Charney, Carol

    2011-10-01

    Health care has traditionally been delivered primarily by experts working individually in a decentralized system lacking cohesive organization among professional disciplines. Only recently have the advantages of teamwork training been acknowledged in health care. This article explores the history, benefits, and recommendations for team training in neonatal care. TeamSTEPPS (Rockville, MD) and the revised Neonatal Resuscitation Program are cited as promising models for improved neonatal outcomes through professional teamwork.

  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. Meat morals: relationship between meat consumption consumer attitudes towards human and animal welfare and moral behavior.

    Science.gov (United States)

    De Backer, Charlotte J S; Hudders, Liselot

    2015-01-01

    The aim of this work is to explore the relation between morality and diet choice by investigating how animal and human welfare attitudes and donation behaviors can predict a meat eating versus flexitarian versus vegetarian diet. The results of a survey study (N=299) show that animal health concerns (measured by the Animal Attitude Scale) can predict diet choice. Vegetarians are most concerned, while full-time meat eaters are least concerned, and the contrast between flexitarians and vegetarians is greater than the contrast between flexitarians and full-time meat eaters. With regards to human welfare (measured by the Moral Foundations Questionnaire), results show that attitudes towards human suffering set flexitarians apart from vegetarians and attitudes towards authority and respect distinguish between flexitarians and meat eaters. To conclude, results show that vegetarians donate more often to animal oriented charities than flexitarians and meat eaters, while no differences between the three diet groups occur for donations to human oriented charities. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. 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.

  15. Craving for alcohol and drugs in animals and humans: biology and behavior.

    Science.gov (United States)

    Miller, N S; Goldsmith, R J

    2001-01-01

    Research studies indicate that sites and pathways for appetitive drive states, that are located in the limbic system, appear to be responsible for normal and pathological craving for alcohol and other addicting drugs. Pathological craving for alcohol and drugs in humans has been substantiated by animal studies, which have identified neurosubstrates and neurotransmitters associated with behavioral models of addiction. Repetitive administration of alcohol and drugs appears to affect hedonic homeostasis of the appetitive drives leading to the hedonic alleostasis where negative reinforcement exceeds positive returns despite continued drug use. Neuroimaging studies have concentrated on areas in the brain related to reward or reinforcement of alcohol/drug use, but the technique can be employed to find support for a neurosubstrate to distinguish normal craving or "liking" from pathological craving or "wanting" a drug. Identifying the neurobasis of "wanting" a drug long after not "liking it" is central to understanding pathological craving and loss of control over drug use in addiction in humans. Neuroimaging is currently the only method to directly visualize sites for craving in the brain in humans. Neuroimaging techniques will provide methods, which are not possible in animals, for studying addictive disease in humans.

  16. The Difference of Structural State and Deformation Behavior between Teenage and Mature Human Dentin.

    Science.gov (United States)

    Panfilov, Peter; Zaytsev, Dmitry; Antonova, Olga V; Alpatova, Victoria; Kiselnikova, Larissa P

    2016-01-01

    Objective. The cause of considerable elasticity and plasticity of human dentin is discussed in the relationship with its microstructure. Methods. Structural state of teenage and mature human dentin is examined by using XRD and TEM techniques, and their deformation behavior under compression is studied as well. Result. XRD study has shown that crystallographic type of calcium hydroxyapatite in human dentin (calcium hydrogen phosphate hydroxide Ca9HPO4(PO4)5OH; Space Group P63/m (176); a = 9,441 A; c = 6,881 A; c/a = 0,729; Crystallite (Scherrer) 200 A) is the same for these age groups. In both cases, dentin matrix is X-ray amorphous. According to TEM examination, there are amorphous and ultrafine grain phases in teenage and mature dentin. Mature dentin is stronger on about 20% than teenage dentin, while teenage dentin is more elastic on about 20% but is less plastic on about 15% than mature dentin. Conclusion. The amorphous phase is dominant in teenage dentin, whereas the ultrafine grain phase becomes dominant in mature dentin. Mechanical properties of human dentin under compression depend on its structural state, too.

  17. The Difference of Structural State and Deformation Behavior between Teenage and Mature Human Dentin

    Directory of Open Access Journals (Sweden)

    Peter Panfilov

    2016-01-01

    Full Text Available Objective. The cause of considerable elasticity and plasticity of human dentin is discussed in the relationship with its microstructure. Methods. Structural state of teenage and mature human dentin is examined by using XRD and TEM techniques, and their deformation behavior under compression is studied as well. Result. XRD study has shown that crystallographic type of calcium hydroxyapatite in human dentin (calcium hydrogen phosphate hydroxide Ca9HPO4(PO45OH; Space Group P63/m (176; a = 9,441 A; c = 6,881 A; c/a = 0,729; Crystallite (Scherrer 200 A is the same for these age groups. In both cases, dentin matrix is X-ray amorphous. According to TEM examination, there are amorphous and ultrafine grain phases in teenage and mature dentin. Mature dentin is stronger on about 20% than teenage dentin, while teenage dentin is more elastic on about 20% but is less plastic on about 15% than mature dentin. Conclusion. The amorphous phase is dominant in teenage dentin, whereas the ultrafine grain phase becomes dominant in mature dentin. Mechanical properties of human dentin under compression depend on its structural state, too.

  18. Video Modeling by Experts with Video Feedback to Enhance Gymnastics Skills

    Science.gov (United States)

    Boyer, Eva; Miltenberger, Raymond G.; Batsche, Catherine; Fogel, Victoria

    2009-01-01

    The effects of combining video modeling by experts with video feedback were analyzed with 4 female competitive gymnasts (7 to 10 years old) in a multiple baseline design across behaviors. During the intervention, after the gymnast performed a specific gymnastics skill, she viewed a video segment showing an expert gymnast performing the same skill…

  19. Video Modeling by Experts with Video Feedback to Enhance Gymnastics Skills

    Science.gov (United States)

    Boyer, Eva; Miltenberger, Raymond G.; Batsche, Catherine; Fogel, Victoria

    2009-01-01

    The effects of combining video modeling by experts with video feedback were analyzed with 4 female competitive gymnasts (7 to 10 years old) in a multiple baseline design across behaviors. During the intervention, after the gymnast performed a specific gymnastics skill, she viewed a video segment showing an expert gymnast performing the same skill…

  20. Expert judgement in performance assessment

    Energy Technology Data Exchange (ETDEWEB)

    Wilmot, R.D.; Galson, D.A. [Galson Sciences Ltd, Oakham (United Kingdom)

    2000-01-01

    This report is a pilot study that systematically describes the various types of expert judgement that are made throughout the development of a PA, and summarizes existing tools and practices for dealing with expert judgements. The report also includes recommendations for further work in the area of expert judgement. Expert judgements can be classified in a number of ways, including classification according to why the judgements are made and according to how the judgements are made. In terms of why judgements are made, there is a broad distinction between: Judgements concerning data that are made because alternatives are not feasible; and Judgements about the conduct of a PA that are made because there are no alternative approaches for making the decision. In the case of how judgements are made, the report distinguishes between non-elicited judgements made by individuals, non-elicited judgements made by groups, and elicited judgements made by individuals or groups. These types of judgement can generally be distinguished by the extent of the associated documentation, and hence their traceability. Tools for assessing judgements vary depending on the type of judgements being examined. Key tools are peer review, an appropriate QA regime, documentation, and elicitation. Dialogue with stake holders is also identified as important in establishing whether judgements are justified in the context in which they are used. The PA process comprises a number of stages, from establishing the assessment context, through site selection and repository design, to scenario and model development and parametrisation. The report discusses how judgements are used in each of these stages, and identifies which of the tools and procedures for assessing judgements are most appropriate at each stage. Recommendations for further work include the conduct of a trial expert elicitation to gain experience in the advantages and disadvantages of this technique, the development of guidance for peer