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Sample records for behavioral factors driving

  1. Sociodemographic factors associated with aggressive driving behaviors of 3-wheeler taxi drivers in Sri Lanka.

    Science.gov (United States)

    Akalanka, Ediriweera Chintana; Fujiwara, Takeo; Desapriya, Ediriweera; Peiris, Dinithi C; Scime, Giulia

    2012-01-01

    Little is known about the nature and scope of aggressive driving in developing countries. The objective of this study is to specifically examine the sociodemographic factors associated with aggressive driving behavior among 3-wheeler taxi drivers in Sri Lanka. Convenience samples of 3-wheeler taxi drivers from Rathnapura, Ahaliyagoda, Sri Lanka were surveyed from June to August 2006. Analyses included bivariate and multivariate logistic regression. Drivers with less than high school education were 3.5 times more likely to drive aggressively (odds ratio [OR] = 3.46; 95% confidence interval [CI] = 1.08, 11.1). Single drivers were 9 times more likely to run red lights (OR = 8.74; 95% CI = 2.18, 35.0), and being single was a major risk factor for drunk driving (OR = 4.80; 95% CI = 1.23, 18.7). Furthermore, high school completers were 4 times more likely to bribe a policeman (OR = 4.27; 95% CI = 1.23, 14.9) when caught violating the road rules. Aggressive driving and risk-taking behavior are amenable to policy initiatives, and preventive programs targeted at key groups could be used to improve road safety in Sri Lanka. This study demonstrates that aggressive driving behavior is associated with sociodemographic factors, including the level of education, marital status, and other socioeconomic factors. Hence, economic factors should be addressed to find solutions to traffic-related issues. It will be the government's and policy makers' responsibility to try and understand the economic factors behind risky road behavior and bribe-taking behavior prior to legislating or enforcing new laws.

  2. Motivational factors associated with drowsy driving behavior: a qualitative investigation of college students.

    Science.gov (United States)

    Beck, Kenneth H; Lee, Clark J; Weiner, Talia

    2018-02-01

    This qualitative investigation sought to identify the motivational factors that contribute to drowsy driving in college students and to discover important messaging strategies that may help prevent or reduce this behavior in this population. Four focus groups of college students. A large university in the Washington, DC, metropolitan area during the Fall 2016 term. Twenty-six undergraduate students between the ages of 18 and 25 years. Notes and transcripts from the focus group sessions were analyzed to identify recurring themes regarding attitudes, motivations, experiences, influences, and potential preventive messaging strategies related to drowsy driving. Although most participants had heard of drowsy driving and were concerned about it, they did not associate it with legal risks and were more concerned about alcohol-impaired and distracted driving as crash risks. Participants viewed drowsy driving as a normal and unavoidable part of their lives over which they had little control. For potential anti-drowsy driving messaging strategies, participants preferred messages delivered via audiovisual or social media that featured graphic and emotional portrayals of crashes and their consequences. Participants also voiced strong support for preventive messaging strategies equating various degrees of sleep deprivation to known impairing levels of alcohol, as well as messages providing cues to action to actual drowsy drivers on roadways. Increased enforcement, education, and public messaging campaigns are needed to increase knowledge and influence attitudes and opinions among young drivers about the dangers and social unacceptability of drowsy driving. Copyright © 2018 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

  3. The Theory of Planned Behavior, Past Behavior, Situational Factors, and Self-Identity Factors Drive Indonesian Enterpreneurs to Be Indebtedness

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    Shine Pintor S. Patiro

    2016-06-01

    Full Text Available This study investigates the factors affecting borrowing intention among young entrepreneur of Indonesia TDA community based on the Theory of Planned Behavior (TPB. About 100 questionnaires were accepted and analyzed using structural equation modeling (SEM in determining the relationships. The results show that borrowing intention amongst young entrepreneur of Indonesia TDA community is influenced by attitude, subjective norms, perceived behavior control, self identity, situational temptation, and past behavior. The young entrepreneur of Indonesia TDA community believe that they have complete control of their behavior in borrowing as they perceived to be equipped with the knowledge about the personal financing. In addition, because of their experience in students’ loans since undergraduates’ level, the result explains why situational temptation were found to be a significant predictor. The findings offer implications for researchers and government.

  4. Driving citations and aggressive behavior.

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    Sansone, Randy A; Leung, Justin S; Wiederman, Michael W

    2012-01-01

    Anger and driving have been examined in a number of studies of aggressive drivers and in drivers with road rage using various psychological and environmental study variables. However, we are not aware of any study that has examined the number of driving citations (an indication of problematic driving) and various forms of anger not related to driving. Using a cross-sectional approach in a consecutive sample of 331 respondents (68% female), we surveyed participants about the number of past driving citations, not necessarily convictions, and 21 aggressive behaviors using the Aggressive Behavior Questionnaire. The number of driving citations demonstrated a statistically significant correlation with the number of aggressive behaviors in the 21-item Aggressive Behavior Questionnaire. There were no differences between men and women. As for specific aggressive behaviors, the number of driving citations was statistically significantly related to punching a wall when angry, causing and getting into a bar fight, getting into fistfights (not in a bar), causing someone to have an accident, and intentionally running someone off the road. The number of driving citations, an indication of problematic driving, appears to be related to generally aggressive behavior. Findings indicate that if aggression plays a role in problematic driving, it is likely not limited to the road.

  5. Personality, Driving Behavior and Mental Disorders Factors as Predictors of Road Traffic Accidents Based on Logistic Regression

    Science.gov (United States)

    Alavi, Seyyed Salman; Mohammadi, Mohammad Reza; Souri, Hamid; Mohammadi Kalhori, Soroush; Jannatifard, Fereshteh; Sepahbodi, Ghazal

    2017-01-01

    Background: The aim of this study was to evaluate the effect of variables such as personality traits, driving behavior and mental illness on road traffic accidents among the drivers with accidents and those without road crash. Methods: In this cohort study, 800 bus and truck drivers were recruited. Participants were selected among drivers who referred to Imam Sajjad Hospital (Tehran, Iran) during 2013-2015. The Manchester driving behavior questionnaire (MDBQ), big five personality test (NEO personality inventory) and semi-structured interview (schizophrenia and affective disorders scale) were used. After two years, we surveyed all accidents due to human factors that involved the recruited drivers. The data were analyzed using the SPSS software by performing the descriptive statistics, t-test, and multiple logistic regression analysis methods. P values less than 0.05 were considered statistically significant. Results: In terms of controlling the effective and demographic variables, the findings revealed significant differences between the two groups of drivers that were and were not involved in road accidents. In addition, it was found that depression and anxiety could increase the odds ratio (OR) of road accidents by 2.4- and 2.7-folds, respectively (P=0.04, P=0.004). It is noteworthy to mention that neuroticism alone can increase the odds of road accidents by 1.1-fold (P=0.009), but other personality factors did not have a significant effect on the equation. Conclusion: The results revealed that some mental disorders affect the incidence of road collisions. Considering the importance and sensitivity of driving behavior, it is necessary to evaluate multiple psychological factors influencing drivers before and after receiving or renewing their driver’s license. PMID:28293047

  6. Personality, Driving Behavior and Mental Disorders Factors as Predictors of Road Traffic Accidents Based on Logistic Regression

    Directory of Open Access Journals (Sweden)

    Seyyed Salman Alavi

    2017-01-01

    Full Text Available Background: The aim of this study was to evaluate the effect of variables such as personality traits, driving behavior and mental illness on road traffic accidents among the drivers with accidents and those without road crash. Methods: In this cohort study, 800 bus and truck drivers were recruited. Participants were selected among drivers who referred to Imam Sajjad Hospital (Tehran, Iran during 2013-2015. The Manchester driving behavior questionnaire (MDBQ, big five personality test (NEO personality inventory and semi-structured interview (SADS were used. After two years, we surveyed all accidents due to human factors that involved the recruited drivers. The data were analyzed using the SPSS software by performing the descriptive statistics, t-test, and multiple logistic regression analysis methods. P values less than 0.05 were considered statistically significant. Results: In terms of controlling the effective and demographic variables, the findings revealed significant differences between the two groups of drivers that were and were not involved in road accidents. In addition, it was found that depression and anxiety could increase the odds ratio (OR of road accidents by 2.4- and 2.7-folds, respectively (P=0.04, P=0.004. It is noteworthy to mention that neuroticism alone can increase the odds of road accidents by 1.1-fold (P=0.009, but other personality factors did not have a significant effect on the equation. Conclusion: The results revealed that some mental disorders affect the incidence of road collisions. Considering the importance and sensitivity of driving behavior, it is necessary to evaluate multiple psychological factors influencing drivers before and after receiving or renewing their driver’s license.

  7. Personality, Driving Behavior and Mental Disorders Factors as Predictors of Road Traffic Accidents Based on Logistic Regression.

    Science.gov (United States)

    Alavi, Seyyed Salman; Mohammadi, Mohammad Reza; Souri, Hamid; Mohammadi Kalhori, Soroush; Jannatifard, Fereshteh; Sepahbodi, Ghazal

    2017-01-01

    The aim of this study was to evaluate the effect of variables such as personality traits, driving behavior and mental illness on road traffic accidents among the drivers with accidents and those without road crash. In this cohort study, 800 bus and truck drivers were recruited. Participants were selected among drivers who referred to Imam Sajjad Hospital (Tehran, Iran) during 2013-2015. The Manchester driving behavior questionnaire (MDBQ), big five personality test (NEO personality inventory) and semi-structured interview (schizophrenia and affective disorders scale) were used. After two years, we surveyed all accidents due to human factors that involved the recruited drivers. The data were analyzed using the SPSS software by performing the descriptive statistics, t-test, and multiple logistic regression analysis methods. P values less than 0.05 were considered statistically significant. In terms of controlling the effective and demographic variables, the findings revealed significant differences between the two groups of drivers that were and were not involved in road accidents. In addition, it was found that depression and anxiety could increase the odds ratio (OR) of road accidents by 2.4- and 2.7-folds, respectively (P=0.04, P=0.004). It is noteworthy to mention that neuroticism alone can increase the odds of road accidents by 1.1-fold (P=0.009), but other personality factors did not have a significant effect on the equation. The results revealed that some mental disorders affect the incidence of road collisions. Considering the importance and sensitivity of driving behavior, it is necessary to evaluate multiple psychological factors influencing drivers before and after receiving or renewing their driver's license.

  8. Risky driving behaviors in Tehran, Iran.

    Science.gov (United States)

    Shams, Mohsen; Rahimi-Movaghar, Vafa

    2009-03-01

    Iran has one of the highest fatality rates due to road traffic crashes (RTC) in the world. The disability adjusted life years (DALYs) for RTC in Iran is more than 1,300,000 years, which is more than that for any other disease such as cardiovascular or cancer. We evaluated risky driving behaviors in Tehran, the capital of Iran. A retrospective analysis was conducted based on the data obtained from the Tehran Police Safety Driving Department. Offenses and crashes were studied in different municipal districts in Tehran from March 2006 to March 2007. The inclusion criteria were risky driving behaviors fined by the police. Nonbehavioral offences were excluded. There were 3,821,798 offenses in Tehran. Not wearing a seat belt was the most common (59%) example of risky driving behavior, followed by tailgating, not wearing motorcycle helmets, talking on the cell phone while driving, overtaking from the wrong side, speeding, not driving between the lanes, weaving in and out of traffic, left deviation, and changing lanes without signals. The most common causes of RTC in Tehran are speeding, overtaking from the wrong side, and the rapid changing of driving lanes. The study factors effective in preventing risky driving behaviors in Tehran is recommended. The consideration of specific characteristics of the municipal districts is necessary to reduce risky driving behaviors.

  9. Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers.

    Science.gov (United States)

    Useche, Sergio A; Ortiz, Viviola Gómez; Cendales, Boris E

    2017-07-01

    There is consistent scientific evidence that professional drivers constitute an occupational group that is highly exposed to work related stressors. Furthermore, several recent studies associate work stress and fatigue with unsafe and counterproductive work behaviors. This study examines the association between stress-related work conditions of Bus Rapid Transport (BRT) drivers and risky driving behaviors; and examines whether fatigue is a mechanism that mediates the association between the two. A sample of 524 male Bus Rapid Transit (BRT) operators were drawn from four transport companies in Bogotá, Colombia. The participants answered a survey which included an adapted version of the Driver Behavior Questionnaire (DBQ) for BRT operators, as well as the Effort-Reward Imbalance and Job Content Questionnaires, the Subjective Fatigue subscale of the Checklist Individual Strength (CIS) and the Need for Recovery after Work Scale (NFR). Utilizing Structural Equation Models (SEM) it was found that risky driving behaviors in BRT operators could be predicted through job strain, effort-reward imbalance and social support at work. It was also found that fatigue and need for recovery fully mediate the associations between job strain and risky driving, and between social support and risky driving, but not the association between effort/reward imbalance (ERI) and risky driving. The results of this study suggest that a) stress related working conditions (Job Strain, Social Support and ERI) are relevant predictors of risky driving in BRT operators, and b) that fatigue is the mechanism which links another kind of stress related to working conditions (job strain and low social support) with risky driving. The mechanism by which ERI increases risky driving in BRT operators remains unexplained. This research suggests that in addition to the individual centered stress-reduction occupational programs, fatigue management interventions aimed to changing some working conditions may reduce

  10. Teens' distracted driving behavior: Prevalence and predictors.

    Science.gov (United States)

    Gershon, Pnina; Zhu, Chunming; Klauer, Sheila G; Dingus, Tom; Simons-Morton, Bruce

    2017-12-01

    Teen drivers' over-involvement in crashes has been attributed to a variety of factors, including distracted driving. With the rapid development of in-vehicle systems and portable electronic devices, the burden associated with distracted driving is expected to increase. The current study identifies predictors of secondary task engagement among teenage drivers and provides basis for interventions to reduce distracted driving behavior. We described the prevalence of secondary tasks by type and driving conditions and evaluated the associations between the prevalence of secondary task engagement, driving conditions, and selected psychosocial factors. The private vehicles of 83 newly-licensed teenage drivers were equipped with Data Acquisition Systems (DAS), which documented driving performance measures, including secondary task engagement and driving environment characteristics. Surveys administered at licensure provided psychosocial measures. Overall, teens engaged in a potentially distracting secondary task in 58% of sampled road clips. The most prevalent types of secondary tasks were interaction with a passenger, talking/singing (no passenger), external distraction, and texting/dialing the cell phone. Secondary task engagement was more prevalent among those with primary vehicle access and when driving alone. Social norms, friends' risky driving behaviors, and parental limitations were significantly associated with secondary task prevalence. In contrast, environmental attributes, including lighting and road surface conditions, were not associated with teens' engagement in secondary tasks. Our findings indicated that teens engaged in secondary tasks frequently and poorly regulate their driving behavior relative to environmental conditions. Practical applications: Peer and parent influences on secondary task engagement provide valuable objectives for countermeasures to reduce distracted driving among teenage drivers. Copyright © 2017 National Safety Council and

  11. Identifying Method of Drunk Driving Based on Driving Behavior

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    Xiaohua Zhao

    2011-05-01

    Full Text Available Drunk driving is one of the leading causes contributing to traffic crashes. There are numerous issues that need to be resolved with the current method of identifying drunk driving. Driving behavior, with the characteristic of real-time, was extensively researched to identify impaired driving behaviors. In this paper, the drives with BACs above 0.05% were defined as drunk driving state. A detailed comparison was made between normal driving and drunk driving. The experiment in driving simulator was designed to collect the driving performance data of the groups. According to the characteristics analysis for the effect of alcohol on driving performance, seven significant indicators were extracted and the drunk driving was identified by the Fisher Discriminant Method. The discriminant function demonstrated a high accuracy of classification. The optimal critical score to differentiate normal from drinking state was found to be 0. The evaluation result verifies the accuracy of classification method.

  12. The HEXACO Model of Personality and Risky Driving Behavior.

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    Burtăverde, Vlad; Chraif, Mihaela; Aniţei, Mihai; Dumitru, Daniela

    2017-04-01

    This research tested the association between the HEXACO personality model and risky driving behavior as well as the predictive power of the HEXACO model in explaining risky driving behavior compared with the Big Five model. In Sample 1, 227 undergraduate students completed measures of the HEXACO personality model, the Big Five model, and driving aggression. In Sample 2, 244 community respondents completed measures of the HEXACO personality model, the Big Five model, and driving styles. Results showed that the Honesty-Humility factor is an important addition to personality models that aim to explain risky driving behavior as being related to all forms of driving aggression as well as to maladaptive and adaptive driving styles and having incremental validity in predicting verbally aggressive expression, risky driving, high-velocity driving, and careful driving. Moreover, compared with the Big Five model, the HEXACO model had better predictive power of aggressive driving.

  13. Comparing Expert and Novice Driving Behavior in a Driving Simulator

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    Hiran B. Ekanayake

    2014-02-01

    Full Text Available This paper presents a study focused on comparing driving behavior of expert and novice drivers in a mid-range driving simulator with the intention of evaluating the validity of driving simulators for driver training. For the investigation, measurements of performance, psychophysiological measurements, and self-reported user experience under different conditions of driving tracks and driving sessions were analyzed. We calculated correlations between quantitative and qualitative measures to enhance the reliability of the findings. The experiment was conducted involving 14 experienced drivers and 17 novice drivers. The results indicate that driving behaviors of expert and novice drivers differ from each other in several ways but it heavily depends on the characteristics of the task. Moreover, our belief is that the analytical framework proposed in this paper can be used as a tool for selecting appropriate driving tasks as well as for evaluating driving performance in driving simulators.

  14. Factors driving aquaculture technology adoption

    Science.gov (United States)

    Technology adoption has played a key role in the global development and increase in agricultural productivity. However, the decision to adopt a new technology on farms is complex. While the factors that drive the adoption of new technologies have been well studied in agriculture, less attention has ...

  15. Effects of trait anger, driving anger, and driving experience on dangerous driving behavior: A moderated mediation analysis.

    Science.gov (United States)

    Ge, Yan; Zhang, Qian; Zhao, Wenguo; Zhang, Kan; Qu, Weina

    2017-11-01

    To explore the effect of anger behind the wheel on driving behavior and accident involvement has been the subject of many studies. However, few studies have explored the interaction between anger and driving experience on dangerous driving behavior. This study is a moderated mediation analysis of the effect of trait anger, driving anger, and driving experience on driving behavior. A sample of 303 drivers was tested using the Trait Anger Scale (TAS), the Driving Anger Scale (DAS), and the Dula Dangerous Driving Index (DDDI). The results showed that trait anger and driving anger were positively correlated with dangerous driving behavior. Driving anger partially mediated the effect of trait anger on dangerous driving behavior. Driving experience moderated the relationship between trait anger and driving anger. It also moderated the effect of driving anger on dangerous driving behavior. These results suggest that drivers with more driving experience may be safer as they are not easily irritated during driving. © 2017 Wiley Periodicals, Inc.

  16. Factors That Drive Youth Specialization.

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    Padaki, Ajay S; Popkin, Charles A; Hodgins, Justin L; Kovacevic, David; Lynch, Thomas Sean; Ahmad, Christopher S

    Specialization in young athletes has been linked to overuse injuries, burnout, and decreased satisfaction. Despite continued opposition from the medical community, epidemiological studies suggest the frequency is increasing. Extrinsic pressures in addition to individual aspirations drive this national trend in sports specialization. Descriptive epidemiology study. Level 3. A novel instrument assessing the driving factors behind youth specialization was generated by an interdisciplinary team of medical professionals. Surveys were administered to patients and athletes in the department's sports medicine clinic. The survey was completed by 235 athletes between 7 and 18 years of age, with a mean age of 13.8 ± 3.0 years. Athletes specialized at a mean age of 8.1 years, and 31% of athletes played a single sport while 58% played multiple sports but had a preferred sport. More than 70% of athletes had collegiate or professional ambitions, and 60% played their primary sport for 9 or more months per year, with players who had an injury history more likely to play year-round ( P sports, with specialized athletes reporting this significantly more often ( P = 0.04). Half of the athletes reported that sports interfered with their academic performance, with older players stating this more frequently ( P sport before starting high school. While intrinsic drive may identify healthy aspirations, extrinsic influences are prevalent in specialized athletes. Extrinsic factors contributing to youth specialization were identified and compounded the deleterious sequelae of youth athlete specialization.

  17. Factors Driving Business Intelligence Culture

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    Rimvydas Skyrius

    2016-05-01

    Full Text Available The field of business intelligence (BI, despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards hu-man factors of BI adoption. The wide set of human factors influencing BI adoption con-tains elements of what we call BI culture – an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts – decision-making culture, analytical culture and others. The goal of this paper is to perform the review of research and practical sources to examine driving forces of BI – data-driven approaches, BI agility, maturity and acceptance – to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.

  18. ELDERLY DRIVING BEHAVIOR AND COGNITIVE FUNCTIONS

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    Etsuo HORIKAWA

    2009-01-01

    Discussions: Of the 30 items monitored in the study, significant differences were evident in only a few. Because the evidence did not suggest a particular link to accident experience, it will be necessary to obtain objective data from other cognitive function tests and driving behavior for reassessment. various problems related to elderly driving in Japan were discussed.

  19. Chinese carless young drivers' self-reported driving behavior and simulated driving performance.

    Science.gov (United States)

    Zhang, Qian; Jiang, Zuhua; Zheng, Dongpeng; Man, Dong; Xu, Xunnan

    2013-01-01

    Carless young drivers refers to those drivers aged between 18 and 25 years who have a driver's license but seldom have opportunities to practice their driving skills because they do not have their own cars. Due to China's lower private car ownership, many young drivers become carless young drivers after licensure, and the safety issue associated with them has raised great concern in China. This study aims to provide initial insight into the self-reported driving behaviors and simulated driving performance of Chinese carless young drivers. Thirty-three carless young drivers and 32 young drivers with their own cars (as a comparison group) participated in this study. A modified Driver Behavior Questionnaire (DBQ) with a 4-factor structure (errors, violations, attention lapses, and memory lapses) was used to study carless young drivers' self-reported driving behaviors. A simulated driving experiment using a low-cost, fixed-base driving simulator was conducted to measure their simulated driving performance (errors, violations, attention lapses, driving maintenance, reaction time, and accidents). Self-reported DBQ outcomes showed that carless young drivers reported similar errors, more attention lapses, fewer memory lapses, and significantly fewer violation behaviors relative to young drivers with their own cars, whereas simulated driving results revealed that they committed significantly more errors, attention lapses, and violation behaviors than the comparison group. Carless young drivers had a lower ability to maintain the stability of speed and lane position, drove more cautiously approaching and passing through red traffic lights, and committed more accidents during simulated driving. A tendency to speed was not found among carless young drivers; their average speed and speeding frequency were all much lower than that of the comparison group. Lifetime mileage was the only significant predictor of carless young drivers' self-reported violations, simulated violations

  20. Influence of roadside infrastructure on driving behavior: driving simulator study

    NARCIS (Netherlands)

    Horst, A.R.A. van der; Ridder, S. de

    2007-01-01

    This paper describes the results of a driving simulator study that focused on the influence of roadside infrastructure on speed choice and lateral placement of car drivers. A review of the RISER detailed accident database revealed that lateral positioning and speed of the vehicle were two of the

  1. Wellness Factors Decrease the Odds of Drinking and Driving among College Students

    Science.gov (United States)

    Lewis, Todd F.; Myers, Jane E.

    2012-01-01

    The authors examined holistic wellness factors and drinking and driving behaviors among undergraduate students. Two factors of the Indivisible Self Wellness Model, the Coping Self and the Physical Self, decreased the odds of engaging in drinking and driving behavior. (Contains 2 tables and 1 figure.)

  2. DrivingSense: Dangerous Driving Behavior Identification Based on Smartphone Autocalibration

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    Chunmei Ma

    2017-01-01

    Full Text Available Since pervasive smartphones own advanced computing capability and are equipped with various sensors, they have been used for dangerous driving behaviors detection, such as drunk driving. However, sensory data gathered by smartphones are noisy, which results in inaccurate driving behaviors estimations. Some existing works try to filter noise from sensor readings, but usually only the outlier data are filtered. The noises caused by hardware of the smartphone cannot be removed from the sensor reading. In this paper, we propose DrivingSense, a reliable dangerous driving behavior identification scheme based on smartphone autocalibration. We first theoretically analyze the impact of the sensor error on the vehicle driving behavior estimation. Then, we propose a smartphone autocalibration algorithm based on sensor noise distribution determination when a vehicle is being driven. DrivingSense leverages the corrected sensor parameters to identify three kinds of dangerous behaviors: speeding, irregular driving direction change, and abnormal speed control. We evaluate the effectiveness of our scheme under realistic environments. The results show that DrivingSense, on average, is able to detect the driving direction change event and abnormal speed control event with 93.95% precision and 90.54% recall, respectively. In addition, the speed estimation error is less than 2.1 m/s, which is an acceptable range.

  3. Acceptance of and Engagement in Risky Driving Behaviors by Teenagers

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    Sarkar, Sheila; Andreas, Marie

    2004-01-01

    Data gathered from 1,430 teenage student drivers and 880 teenage traffic violators were used to examine the levels of exposure to risky driving behaviors and perceptions concerning the level of danger of such behaviors. For student drivers, 55% reported exposure to risky driving by being in a car with a driver engaging in such activities as drunk…

  4. Examination of drivers' cell phone use behavior at intersections by using naturalistic driving data.

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    Xiong, Huimin; Bao, Shan; Sayer, James; Kato, Kazuma

    2015-09-01

    Many driving simulator studies have shown that cell phone use while driving greatly degraded driving performance. In terms of safety analysis, many factors including drivers, vehicles, and driving situations need to be considered. Controlled or simulated studies cannot always account for the full effects of these factors, especially situational factors such as road condition, traffic density, and weather and lighting conditions. Naturalistic driving by its nature provides a natural and realistic way to examine drivers' behaviors and associated factors for cell phone use while driving. In this study, driving speed while using a cell phone (conversation or visual/manual tasks) was compared to two baselines (baseline 1: normal driving condition, which only excludes driving while using a cell phone, baseline 2: driving-only condition, which excludes all types of secondary tasks) when traversing an intersection. The outcomes showed that drivers drove slower when using a cell for both conversation and visual/manual (VM) tasks compared to baseline conditions. With regard to cell phone conversations, drivers were more likely to drive faster during the day time compared to night time driving and drive slower under moderate traffic compared to under sparse traffic situations. With regard to VM tasks, there was a significant interaction between traffic and cell phone use conditions. The maximum speed with VM tasks was significantly lower than that with baseline conditions under sparse traffic conditions. In contrast, the maximum speed with VM tasks was slightly higher than that with baseline driving under dense traffic situations. This suggests that drivers might self-regulate their behavior based on the driving situations and demand for secondary tasks, which could provide insights on driver distraction guidelines. With the rapid development of in-vehicle technology, the findings in this research could lead the improvement of human-machine interface (HMI) design as well

  5. Driving automation forward : human factors for limited-ability autonomous driving systems.

    Science.gov (United States)

    2010-01-01

    Over the past 100 years, there has been a : steady progression of innovations that : enhance the driving experience, in particular : the continuing trend toward automating more : driving tasks. Human Factors for Limited-Ability : Autonomous Drivin...

  6. Does automatic transmission improve driving behavior in older drivers?

    Science.gov (United States)

    Selander, Helena; Bolin, Ingrid; Falkmer, Torbjörn

    2012-01-01

    Most older drivers continue to drive as they age. To maintain safe and independent transport, mobility is important for all individuals, but especially for older drivers. The objective of this study was to investigate whether automatic transmission, compared with manual transmission, may improve the driving behavior of older drivers. In total, 31 older drivers (mean age 75.2 years) and 32 younger drivers - used as a control group (mean age 39.2 years) - were assessed twice on the same fixed route; once in a car with manual transmission and once in a car with automatic transmission. The cars were otherwise identical. The driving behavior was assessed with the Ryd On-Road Assessment driving protocol. Time to completion of left turns (right-hand side driving) and the impact of a distraction task were measured. The older group had more driving errors than the younger group, in both the manual and the automatic transmission car. However, and contrary to the younger drivers, automatic transmission improved the older participants' driving behavior as demonstrated by safer speed adjustment in urban areas, greater maneuvering skills, safer lane position and driving in accordance with the speed regulations. Switching to automatic transmission may be recommended for older drivers as a means to maintain safe driving and thereby the quality of their transport mobility. Copyright © 2011 S. Karger AG, Basel.

  7. `People on the move and goods on the go` behavioral factors driving carbon-dioxide emissions for travel and freight in OECD countries

    Energy Technology Data Exchange (ETDEWEB)

    Schipper, L. [Lawrence Berkeley Laboratory (United States)

    1996-12-01

    Concern has been expressed in many government and private studies over the cost of externalitites from transportation, which include safety, air pollution, noise, competition for urban space, balance of payments associated with oil imports, and risks from importing oil. If the individual (s) benefiting at the time faced those costs, the travel (or shipment) behind the externality might not take place, or technology would be applied to reduce the extent of the problem. For large trucks and busses, the costs (per vehicle-km) are considerably higher. Expressed as per unit of travel (passenger kilometers) or per unit of freight, i.e., taking into account the utilization of the vehicle, the specific cost change because of economics of scale. Transportation is a valuable part of our economy, but it is no free lunch. Emissions of CO{sub 2} or carbon from road transport are also on government agendas is industrialized countries. Not surprisingly, CO{sub 2} emissions from travel and freight have increased in most industrialized countries faster than population, albeit less rapidly than GDP. This paper reviews some of the factors driving that increase. Whatever the `real` external costs of each mode, all studies suggest two important findings: First, these costs are sometimes comparable to, or higher than, direct fuel costs per kilometer at the margin; Second, the value attached to the externality for carbon emissions tends to be low compared to those associated with other problems. Hence this suggests that CO{sub 2} by itself may not `felt` as a strong stimulus for change, but that changes to deal with the other problems may affect traffic, and therefore CO{sub 2} emissions, profoundly. (EG) 51 refs.

  8. The trends and issues about drive for thinness and eating behavior

    OpenAIRE

    Tazaki, Shinji

    2007-01-01

    The purpose of this study was to examine the recent trends and issues on the drive for thinness and eating behavior of adolescent females. In Japan, the number of eating disorders in adolescent female is rapidly increasing. And it is considered that the number of individuals who are not given a diagnosis of eating disorder but express a problematic eating behavior is on the increase. Through review researches, it was found that many psychological and sociocultural factors influenced the drive...

  9. Aggression, emotional self-regulation, attentional bias, and cognitive inhibition predict risky driving behavior.

    Science.gov (United States)

    Sani, Susan Raouf Hadadi; Tabibi, Zahra; Fadardi, Javad Salehi; Stavrinos, Despina

    2017-12-01

    The present study explored whether aggression, emotional regulation, cognitive inhibition, and attentional bias towards emotional stimuli were related to risky driving behavior (driving errors, and driving violations). A total of 117 applicants for taxi driver positions (89% male, M age=36.59years, SD=9.39, age range 24-62years) participated in the study. Measures included the Ahwaz Aggression Inventory, the Difficulties in emotion regulation Questionnaire, the emotional Stroop task, the Go/No-go task, and the Driving Behavior Questionnaire. Correlation and regression analyses showed that aggression and emotional regulation predicted risky driving behavior. Difficulties in emotion regulation, the obstinacy and revengeful component of aggression, attentional bias toward emotional stimuli, and cognitive inhibition predicted driving errors. Aggression was the only significant predictive factor for driving violations. In conclusion, aggression and difficulties in regulating emotions may exacerbate risky driving behaviors. Deficits in cognitive inhibition and attentional bias toward negative emotional stimuli can increase driving errors. Predisposition to aggression has strong effect on making one vulnerable to violation of traffic rules and crashes. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Cognitive maps influence over driving strategies in Russia: analyzing Driving Anger Expression Inventory (DAX and Dula Dangerous Driving Index (DDDI factors

    Directory of Open Access Journals (Sweden)

    Chetverikova A.I.

    2017-12-01

    Full Text Available This article summarizes our investigation of drivers cognitive maps and its influence over their behavior. 182 subjects participated in our research, i.e. 97 professional drivers, 85 car enthusiasts, 156 men and 26 women, 20—66 years old, mileage about 3—150 thousands kilometers per year. Questionnaire “Dula Dangerous Driving Index” was used on Russian subjects for the first time ever. Our results show that subjects’ need for get their rocks off when they are angered (or suspicious, or failed to trust the world around and aggressive behavior during driving are correlated. Most drivers feel emotional tension during driving and use some self-regulation techniques to decrease the tension stabilize their emotional state. The following factors were found to correlate with one’s aggressive behavior on the road: feeling suspicious of world/self/others, low level of self-acceptance, external locus of control.

  11. Teen driving behaviors in a rural southern state.

    Science.gov (United States)

    Irons, Elizabeth; Nichols, Michele; King, William D; Crew, Marie; Monroe, Kathy

    2014-12-01

    Motor vehicle crashes are the leading cause of death for teenagers. Alabama ranks fourth in the United States for teen crash fatalities. We sought to describe risky driving behaviors among teens in the rural areas of the state's most populous county. A questionnaire was adapted from the Youth Risk Behavior Surveillance System. Each of the schools in Jefferson County, Alabama, participated in 2009 and 2010. Surveys were anonymous and data were entered into an Excel spreadsheet. Inclusion criteria were age 15 years and older. A total of 1399 surveys met inclusion criteria. A total of 52% of respondents were boys; 64% were white, 29% were African American, and 3% were Hispanic. Respondents were 15 (38%), 16 (36%), 17 (21%), and 18 (5%) years old. When asked about behaviors during driving in the last 30 days, 41% reported texting and 11% reported driving after drinking. Teens reported being a passenger in a car with the driver texting (67%) or after the driver had been drinking (27%) in the last 30 days. Overall, 58% reported not wearing a seatbelt; 13% reported driving after using drugs; 60% reported routinely exceeding the speed limit; 80% reported having discussed safe driving with a parent, but only 16% with their doctor; 25% had signed a safe driving contract; and 63% had taken a driving class. Many risky behaviors were identified for both teen drivers and passengers. A concerning number of teens are not receiving safe driving educational messages from parents, doctors, or driver's education classes. Some interventions have been instituted; however, more outreach efforts should be made to focus on strengthening driving laws and educating parents and teens.

  12. C U L8ter: YouTube distracted driving PSAs use of behavior change theory.

    Science.gov (United States)

    Steadman, Mindy; Chao, Melanie S; Strong, Jessica T; Maxwell, Martha; West, Joshua H

    2014-01-01

    To examine the inclusion of health behavior theory in distracted driving PSAs on YouTube.com. Two-hundred fifty PSAs were assessed using constructs from 4 prominent health behavior theories. A total theory score was calculated for each video. Multiple regression analysis was used to identify factors associated with higher theory scores. PSAs were generally lacking in theoretical content. Video length, use of rates/statistics, driving scenario depiction, and presence of a celebrity were positively associated with theory inclusion. Collaboration between health experts and PSA creators could be fostered to produce more theory-based distracted driving videos on YouTube.com.

  13. A Behavioral Solution to the Drunk Driving Dilemma.

    Science.gov (United States)

    Corey, Michael A.

    1988-01-01

    Discusses the problem of drunk driving primarily as a failure in the process of operant conditioning, with the inappropriate behavior of the drunk driver resulting from a profound ignorance of the potentially tragic consequences of his behavior. Concludes most effective way to understand consequences is to witness autopsies of drunk driving…

  14. Simulation Analysis on Driving Behavior during Traffic Sign Recognition

    Directory of Open Access Journals (Sweden)

    Lishan Sun

    2011-05-01

    Full Text Available The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic sign recognition and risky driving behavior. This paper presents a study that is reflective of such an effort. Twenty volunteers participated in the dynamic visual recognition experiment in driving simulator, and the data of several key indicators are obtained, including visual cognition time, vehicle acceleration and the offset distance from middle lane, etc. Correlations between each indicator above are discussed in terms of risky driving. Research findings directly show that drivers' behavior changes a lot during their traffic sign recognition.

  15. The theory of planned behavior, materialism, and aggressive driving.

    Science.gov (United States)

    Efrat, Kalanit; Shoham, Aviv

    2013-10-01

    Aggressive driving is a growing problem worldwide. Previous research has provided us with some insights into the characteristics of drivers prone to aggressiveness on the road and into the external conditions triggering such behavior. Little is known, however, about the personality traits of aggressive drivers. The present study proposes planned behavior and materialism as predictors of aggressive driving behavior. Data was gathered using a questionnaire-based survey of 220 individuals from twelve large industrial organizations in Israel. Our hypotheses were tested using structural equation modeling. Our results indicate that while planned behavior is a good predictor of the intention to behave aggressively, it has no impact on the tendency to behave aggressively. Materialism, however, was found to be a significant indicator of aggressive driving behavior. Our study is based on a self-reported survey, therefore might suffer from several issues concerning the willingness to answer truthfully. Furthermore, the sampling group might be seen as somewhat biased due to the relatively high income/education levels of the respondents. While both issues, aggressive driving and the theory of planned behavior, have been studied previously, the linkage between the two as well as the ability of materialism to predict aggressive behavior received little attention previously. The present study encompasses these constructs providing new insights into the linkage between them. Copyright © 2013 Elsevier Ltd. All rights reserved.

  16. The behavioral economics of drunk driving.

    Science.gov (United States)

    Sloan, Frank A; Eldred, Lindsey M; Xu, Yanzhi

    2014-05-01

    This study investigates whether drinker-drivers attributes are associated with imperfect rationality or irrationality. Using data from eight U.S. cities, we determine whether drinker-drivers differ from other drinkers in cognitive ability, ignorance of driving while intoxicated (DWI) laws, have higher rates of time preference, are time inconsistent, and lack self-control on other measures. We find that drinker-drivers are relatively knowledgeable about DWI laws and do not differ on two of three study measures of cognitive ability from other drinkers. Drinker-drivers are less prone to plan events involving drinking, e.g., selecting a designated driver in advance of drinking, and are more impulsive. Furthermore, we find evidence in support of hyperbolic discounting. In particular, relative to non-drinker-drivers, the difference between short- and long-term discount rates is much higher for drinker-drivers than for other drinkers. Implications of our findings for public policy, including incapacitation, treatment, and educational interventions, are discussed. Copyright © 2014 Elsevier B.V. All rights reserved.

  17. Drowsy driving and risk behaviors - 10 States and Puerto Rico, 2011-2012.

    Science.gov (United States)

    Wheaton, Anne G; Shults, Ruth A; Chapman, Daniel P; Ford, Earl S; Croft, Janet B

    2014-07-04

    Findings in published reports have suggested that drowsy driving is a factor each year in as many as 7,500 fatal motor vehicle crashes (approximately 25%) in the United States. CDC previously reported that, in 2009-2010, 4.2% of adult respondents in 19 states and the District of Columbia reported having fallen asleep while driving at least once during the previous 30 days. Adults who reported usually sleeping ≤6 hours per day, snoring, or unintentionally falling asleep during the day were more likely to report falling asleep while driving compared with adults who did not report these sleep patterns. However, limited information has been published on the association between drowsy driving and other risk behaviors that might contribute to crash injuries or fatalities. Therefore, CDC analyzed responses to survey questions regarding drowsy driving among 92,102 respondents in 10 states and Puerto Rico to the 2011-2012 Behavioral Risk Factor Surveillance System (BRFSS) surveys. The results showed that 4.0% reported falling asleep while driving during the previous 30 days. In addition to known risk factors, drowsy driving was more prevalent among binge drinkers than non-binge drinkers or abstainers and also more prevalent among drivers who sometimes, seldom, or never wear seatbelts while driving or riding in a car, compared with those who always or almost always wear seatbelts. Drowsy driving did not vary significantly by self-reported smoking status. Interventions designed to reduce binge drinking and alcohol-impaired driving, to increase enforcement of seatbelt use, and to encourage adequate sleep and seeking treatment for sleep disorders might contribute to reductions in drowsy driving crashes and related injuries.

  18. Risky driving behaviors for road traffic accident among drivers in Mekele city, Northern Ethiopia

    Directory of Open Access Journals (Sweden)

    Hassen Abrahim

    2011-12-01

    Full Text Available Abstract Background Due to its perception as a disease of development, road traffic accident and related injuries tend to be under recognized as a major health problem in developing countries. However, majority of the world's fatalities on the roads occur in low income and middle income countries. Since the main cause of road traffic accident is attributed to human risky behaviors, it is important to identify significant factors for risky behaviors of drivers. Methods A quantitative cross-sectional study with a sample size of 350 drivers was conducted in April 2011. The study was conducted among Taxi, Bajaj (three tire vehicles and private owned car drivers. After proportion to size allocation for Taxi (75, Baja (103 and private owned car (172 drivers, we used systematic random sampling method to identify illegible study subjects. Data was collected with face to face interview using a pretested questioner. Univariate, bivariate and multivariate analysis was done using SPSS version 16. Results The mean age of the respondents was 28.7 (SD 9.9. Majority were 339 (96.9% males. Significant number of the study subjects 233 (66.6% had risky driving behaviors. More than a quarter 100 (28.6% had less knowledge about basic traffic signs. Majority of drivers 181 (51.7% had negative attitude towards risky driving behaviors. Significant percent of them 148 (42.3% had a habit of using mobile phone while driving vehicle and 28 (9.7% had experience of driving after drinking alcohol. All the Bajaj, 97(62.6% house car and 58(37.4% taxi unfasten their seat belt while driving. Majority 303 (86.6% followed the recommended speed limit of driving. About 66 (18.9% of them had experience of punishment or warning by traffic polices in the previous 1 year and 77 (22% ever had car accident while driving. Conclusions Drivers of secondary education and with high average monthly income were more likely to have risky driving behavior. Having supportive attitude towards risky

  19. The theory of planned behavior (TPB) and texting while driving behavior in college students.

    Science.gov (United States)

    Bazargan-Hejazi, Shahrzad; Teruya, Stacey; Pan, Deyu; Lin, Johnny; Gordon, David; Krochalk, Pamela C; Bazargan, Mohsen

    2017-01-02

    To examine the role of intent and other theory of planned behavior (TPB) constructs in predicting college students' willingness to text while driving (TWD). This was a cross-sectional study. 243 male and female college students enrolled in the 2013-2014 academic year in the College of Health, Human Services & Nursing completed a survey on TWD. All races and ethnicities, ≥18 years of age, cell phone owner, and licensed driver. Over 70% of the sample (n = 243) reported talking on a cell phone and sending and receiving text messages "at least a few times" while driving within the past week. However, only 27% reported being stopped by police. Of these, 22% reported being fined. Within the past 30 days, 26% reported reading or sending TWD and having to slam on the brakes to avoid hitting another car or pedestrian(s) as a result. In all, 47% of the variance in intention to send TWD was accounted for by the full TPB model. Intention, in turn, predicted willingness to TWD. Intention also mediated the relationship between perceived behavioral control and willingness to TWD. Attitude was found to be the strongest predictor of intention. In addition, intention was found to mediate the relationship of willingness to TWD on perceived behavioral control. These findings highlight potential factors that could be targeted in behavioral change interventions seeking to prevent TWD.

  20. Learning Driving Behavior by Timed Syntactic Pattern Recognition

    NARCIS (Netherlands)

    Verwer, S.E.; De Weerdt, M.M.; Witteveen, C.

    2011-01-01

    We advocate the use of an explicit time representation in syntactic pattern recognition because it can result in more succinct models and easier learning problems. We apply this approach to the real-world problem of learning models for the driving behavior of truck drivers. We discretize the values

  1. The Relationship between Road Design and Driving Behavior

    DEFF Research Database (Denmark)

    Abele, Liva; Møller, Mette

    2011-01-01

    -driving simulator experiment. Speed and lateral position were used as performance indicators. The results indicated that shoulders might not be applied to decrease the speed on the experimental road stretch, but their presence cause drivers to drive closer to the road edge, hence eliminating the probability of head....... Improving road infrastructure safety can be achieved by making roads forgiving and self-explaining. This could be done by clarifying the road design characteristics for each road category. The effect on driver behavior by varying road-shoulders and presence of roadside trees was tested by means of a fixed...

  2. Factors driving the spatial layout of distribution channels

    NARCIS (Netherlands)

    Onstein, A.T.C.; Ektesaby, M.; Rezaei, J.; Tavasszy, L.A.; van Damme, D.A.

    2017-01-01

    Research statement Our study analyses the factors that drive decision-making on distribution structures, including the layout of distribution channels and the locations of distribution centres. Distribution is a primary firm activity, which strongly influences logistics costs and logistics

  3. Improved Generalized Force Model considering the Comfortable Driving Behavior

    Directory of Open Access Journals (Sweden)

    De-Jie Xu

    2015-01-01

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

  4. Power Factor Improvement in Switched Reluctance Motor Drive

    Directory of Open Access Journals (Sweden)

    VENKATESAN, G

    2010-02-01

    Full Text Available A Switched Reluctance Motor (SRM drive is a variable speed motor drive system with unique characteristics. The switching of voltage into the phase winding and pulsating AC input current leads to low power factor and high harmonic contents. In this paper, the power factor is improved using boost converter. The hardware results are taken for a DC input voltage of 60 V to the SRM with different load currents. From the results, it is found that the total current harmonic distortion and individual current harmonics are less with Power Factor Controller (PFC. The power factor of the circuit is improved with the proposed power factor controller.

  5. Behavioral and neurophysiological signatures of benzodiazepine-related driving impairments

    Directory of Open Access Journals (Sweden)

    Bradly T Stone

    2015-11-01

    Full Text Available Impaired driving due to drug use is a growing problem, worldwide; estimates show that 18-23.5% of fatal accidents, and up to 34% of injury accidents may be caused by drivers under the influence of drugs (Drummer et al., 2003; NHTSA, 2010; Walsh et al., 2004. Furthermore, at any given time, up to 16% of drivers may be using drugs that can impair one’s driving abilities (NHTSA, 2009. Currently, drug recognition experts (law enforcement officers with specialized training to identify drugged driving, have the most difficult time with identifying drivers potentially impaired on central nervous system (CNS depressants (Smith, Hayes, Yolton, Rutledge, & Citek, 2002. The fact that the use of benzodiazepines, a type of CNS depressant, is also associated with the greatest likelihood of causing accidents (Dassanayake, Michie, Carter, & Jones, 2011, further emphasizes the need to improve research tools in this area which can facilitate the refinement of, or additions to, current assessments of impaired driving. Our laboratories collaborated to evaluate both the behavioral and neurophysiological effects of a benzodiazepine, alprazolam, in a driving simulation (miniSim™. This drive was combined with a neurocognitive assessment utilizing time synched neurophysiology (EEG, ECG. While the behavioral effects of benzodiazepines are well characterized (Rapoport et al., 2009, we hypothesized that, with the addition of real-time neurophysiology and the utilization of simulation and neurocognitive assessment, we could find objective assessments of drug impairment that could improve the detection capabilities of drug recognition experts. Our analyses revealed that 1 specific driving conditions were significantly more difficult for benzodiazepine impaired drivers and; 2 the neurocognitive tasks’ metrics were able to classify impaired vs. unimpaired with up to 80% accuracy based on lane position deviation and lane departures. While this work requires replication in

  6. Driving Green: Toward the Prediction and Influence of Efficient Driving Behavior

    Science.gov (United States)

    Newsome, William D.

    Sub-optimal efficiency in activities involving the consumption of fossil fuels, such as driving, contribute to a miscellany of negative environmental, political, economic and social externalities. Demonstrations of the effectiveness of feedback interventions can be found in countless organizational settings, as can demonstrations of individual differences in sensitivity to feedback interventions. Mechanisms providing feedback to drivers about fuel economy are becoming standard equipment in most new vehicles, but vary considerably in their constitution. A keystone of Radical Behaviorism is the acknowledgement that verbal behavior appears to play a role in mediating apparent susceptibility to influence by contingencies of varying delay. In the current study, samples of verbal behavior (rules) were collected in the context of a feedback intervention to improve driving efficiency. In an analysis of differences in individual responsiveness to the feedback intervention, the rate of novel rules per week generated by drivers is revealed to account for a substantial proportion of the variability in relative efficiency gains across participants. The predictive utility of conceptual tools, such as the basic distinction among contingency-shaped and rule governed behavior, the elaboration of direct-acting and indirect-acting contingencies, and the psychological flexibility model, is bolstered by these findings.

  7. MODELING DRIVER BEHAVIOR IN THE DRIVING OF THEIR MOTOR VEHICLE

    Directory of Open Access Journals (Sweden)

    A. V. Skrypnikov

    2015-01-01

    Full Text Available The article holds the gradual formation of images and actions of the driver. As outlined the author's arguments based on the following assumptions: We consider the motion of the mass, mass-produced currently by the domestic industry of automobiles; considered the motion of single cars as the most common and most dangerous cases, allowing to evaluate the influence of parameters on the road driving mode "pure"; drivers tend to reduce travel times and therefore move with the maximum possible speed; drivers choose speed, visually estimating lying in front of part of the way and given the speed at the time of this evaluation; driver behavior, ceteris paribus determined the influence of visibility limitations and conditions visual perception; considered the motion on the ascent and descent, but the determining factor is the direction of descent. Set of operations, branches off the driver, can be represented as a multi-level system comprising three main groups of psycho-physiological processes, activities analyzers (perception of information; the work of the central nervous system (processing and storage; effective activity (responses to the implementation of the decision. On the basis of the received information in human consciousness formed images of the environment, the totality of which is an information model of the object. Comparing it with the standards (memory engrams, the driver generates the mo st appropriate in the circumstances set of actions. Implementation of the decision is the final stage of human response to the external environment and is expressed in the change of the degree of use of traction engine or braking force; change the steering angle as that does not affect the speed of motion, the algorithm of the driver is not taken into account. Analysis of the schemes of algorithms allows to obtain quantitative characteristics of the vehicle: stereotyped figures, logical complexity.

  8. Biological, Psychological, and Sociocultural Factors Contributing to the Drive for Muscularity in Weight-Training Men

    Science.gov (United States)

    Schneider, Catharina; Rollitz, Laura; Voracek, Martin; Hennig-Fast, Kristina

    2016-01-01

    The drive for muscularity and associated behaviors (e.g., exercising and dieting) are of growing importance for men in Western societies. In its extreme form, it can lead to body image concerns and harmful behaviors like over-exercising and the misuse of performance-enhancing substances. Therefore, investigating factors associated with the drive for muscularity, especially in vulnerable populations like bodybuilders and weight trainers can help identify potential risk and protective factors for body image problems. Using a biopsychosocial framework, the aim of the current study was to explore different factors associated with drive for muscularity in weight-training men. To this purpose, German-speaking male weight trainers (N = 248) completed an online survey to determine the extent to which biological, psychological, and sociocultural factors contribute to drive for muscularity and its related attitudes and behaviors. Using multiple regression models, findings showed that media ideal body internalization was the strongest positive predictor for drive for muscularity, while age (M = 25.9, SD = 7.4) held the strongest negative association with drive for muscularity. Dissatisfaction with muscularity, but not with body fat, was related to drive for muscularity. The fat-free mass index, a quantification of the actual degree of muscularity of a person, significantly predicted drive for muscularity-related behavior but not attitudes. Body-related aspects of self-esteem, but not global self-esteem, were significant negative predictors of drive for muscularity. Since internalization of media body ideals presented the highest predictive value for drive for muscularity, these findings suggest that media body ideal internalizations may be a risk factor for body image concerns in men, leading, in its most extreme form to disordered eating or muscle dysmorphia. Future research should investigate the relations between drive for muscularity, age, body composition

  9. Factor Driving Consumer Intention in Online Shopping

    OpenAIRE

    Wanida Suwunniponth

    2014-01-01

    The objectives of this research paper was to study the influencing factors that contributed the willingness of consumers to purchase products online included quality of website, perceived ease of use, perceived usefulness, trust on online purchases, attitude towards online shopping and intentions to online purchases. The research was conducted in both quantitative and qualitative methods, by utilizing both questionnaire and in-depth interview. A questionnaire was used to collect data from 350...

  10. THE DIFFERENCES OF DRIVING BEHAVIOR AMONG DIFFERENT DRIVER AGE GROUPS AT SIGNALIZED INTERSECTIONS

    Directory of Open Access Journals (Sweden)

    Jian John LU, Ph.D., P.E.

    2000-01-01

    Full Text Available Over the past few years the population of older drivers has substantially increased across the United States. Older drivers are a group of special interest because of their potential age-related deficiencies. It is essential to understand their driving behavior and adjust the conditions of roadway systems according to their requirements. Likewise, driving behavior of older drivers needs to be considered in order to adequately estimate capacities at intersections. In the past few years, research projects were performed by the University of South Florida to analyze the differences of driving behavior among different driver age groups. Typically, the driving behavior of older drivers was evaluated by analyzing their start-up lost time and saturation headway at signalized intersections as compared to young and mid-age driver groups. Research results were based on data collected from signalized intersections with different land-use types. These intersections are located in west and central Florida where the elderly population has been increasing rapidly in recent years. From the results it was found that the presence of older drivers significantly reduced intersection capacity at all study sites because of their higher lost times and lower saturation flow rates. Therefore, driving behavior of older drivers should be considered in designing intersections located in places with a significant older driver population. In the research, models were developed to predict start-up lost time and saturation headway values generated by older drivers. Then, the variation in capacities with an increasing percentage of older drivers in the traffic stream was modeled. Finally, adjustment factors for different percentages of older drivers were developed to adjust intersection capacity. These factors are believed to account for the presence of older drivers in the traffic stream. The adjustment factors may be used in capacity analysis and design procedures for

  11. Self-assessed driving behaviors associated with age among middle-aged and older adults in Japan.

    Science.gov (United States)

    Arai, Asuna; Arai, Yumiko

    2015-01-01

    With the increasing number of older drivers, road traffic safety is an urgent public health issue. It is not easy for older drivers or their relatives to detect early signs of dangerous driving behaviors. We examine the types of driving behavior that increase in frequency with age. We surveyed people aged 40 and over among the general public in Japan using a self-administered questionnaire on sociodemographic factors, driving status, frequency of driving, 12-items on physical symptoms possibly related to driving performance, and 28-items on driving behaviors. Multiple logistic regression models were used to estimate the odds ratios (OR) of occurrence of each of the 28 driving behaviors for a 5-year increase in age. Significant associations with a 5-year increase in age after adjusting for confounding factors were found for the following directly unsafe driving behaviors: (1) little or no sign of attempts to avoid dangerous situations (OR for a 5-year increase in age=1.38, 95% CI: 1.18-1.63); (2) lack of attention to other people and cars (1.33, 1.12-1.60); (3) improper maneuvering around curves (1.33, 1.09-1.65); and (4) improper or no turn signals (1.33, 1.06-1.69). Information about these driving behaviors should be given to drivers and their stakeholders and used to caution participants when implementing educational programs for older drivers. Self-assessment of driving ability in older drivers provides useful information to raise awareness of their driving performance. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  12. Seat-belt wearing and driving behavior: an instrumented-vehicle study.

    Science.gov (United States)

    Janssen, W

    1994-04-01

    Less-than-expected fatality reductions after seat-belt legislation has been introduced in a jurisdiction may be explained in terms of selective recruitment of parts of the driving population and/or behavioral adaptation by beginning belt users. The present investigation has compared the relative merits of these two hypotheses at the level of individual driver behavior. In the initial study the driving behavior of groups of habitual wearers and nonwearers of the belt was compared. Nonwearers made two trips, one with the belt on and one without the belt. Habitual wearers drove belted only. The main part of the experiment was a 105 km freeway route. Two additional tasks of a somewhat more critical nature, a double lane-change manoeuvre and the performance of a braking manoeuvre in front of a fixed obstacle, were performed after the freeway trips. Factor analysis on 39 variables describing driving behavior on the road and during the additional tasks resulted in five factors. One of these, the factor describing the distribution of driving speed on the freeway, differentiated between nonwearers and wearers (thus yielding support for the selective recruitment hypothesis) as well as between wearing and not wearing the belt by the same drivers (thus yielding support for the behavioral adaptation hypothesis). In the follow-up study the original wearers and nonwearers were assigned to one of four experimental treatments: (i) the promise by the experimenter of a considerable incentive for not having a culpable motor vehicle accident over a period of a year. Half the habitual wearer subjects were assigned to this condition. The expectation was that this group would become more careful in their driving; (ii) a control group, consisting of the remaining habitual wearers; (iii) the agreement between the experimenter and the subject that the latter would buckle up in everyday driving for the year to come--half the habitual nonwearer subjects were assigned to this condition; (iv) a

  13. Treeline advance - driving processes and adverse factors

    Directory of Open Access Journals (Sweden)

    F.-K. Holtmeier

    2007-06-01

    Full Text Available The general trend of climatically-driven treeline advance is modified by regional, local and temporal variations. Treelines will not advance in a closed front parallel to the shift of any isotherm to higher elevations and more northern latitudes. The effects of varying topography on site conditions and the after-effects of historical disturbances by natural and anthropogenic factors may override the effects of slightly higher average temperatures. Moreover, the varying treeline-forming species respond in different ways to a changing climate. Forest advance upwards and northwards primarily depends on successful regeneration and survival of young growth rather than on increasing growth rates of mature trees. Every assessment of treeline response to future climate change must consider the effects of local site conditions and feedbacks of in-creasing tree population in modulating the climatically-driven change. Treeline-shift will influence regional and local climates, pedogenesis, plant communities, animal populations and biodiversity as well as having a considerable effect on economic changes in primary production. A better understanding of the functional relationships between the many treeline-relevant factors and treeline dynamics can be achieved only by extensive research at different scales within different climatic regions supported by as many as possible experimental studies in the field together with laboratory and remote sensing techniques.

  14. Factors affecting return to driving post-stroke.

    LENUS (Irish Health Repository)

    Tan, K M

    2012-02-01

    BACKGROUND: Stroke can affect a person\\'s ability to drive, an important means of transportation in the developed world. AIMS: To determine percentage of patients and factors associated with return to driving post-stroke in a service with emphasis on driver assessment. METHODS: Retrospective study of patients discharged from the Stroke Service of our 470-bed teaching hospital from 1998 to 2002. RESULTS: Of 72 drivers pre-stroke, 54% recalled a driving assessment and 68% returned to driving. Younger patients (58.6 +\\/- 12.0 vs. 66.5 +\\/- 10.5, p = 0.008) with lower Modified Rankin Score (median 1 vs. 2, p = 0.0001) and normal cognition (55 vs. 43%, p = 0.45) were more likely to resume driving. More patients who were assessed returned to driving than those who were not (74 vs. 61%, p = 0.31). CONCLUSIONS: A relatively high level of return to driving can be achieved post-stroke with a pro-active approach to driver assessment and rehabilitation. A structured assessment and referral programme should be offered where appropriate.

  15. A Support Vector Regression Approach for Investigating Multianticipative Driving Behavior

    Directory of Open Access Journals (Sweden)

    Bin Lu

    2015-01-01

    Full Text Available This paper presents a Support Vector Regression (SVR approach that can be applied to predict the multianticipative driving behavior using vehicle trajectory data. Building upon the SVR approach, a multianticipative car-following model is developed and enhanced in learning speed and predication accuracy. The model training and validation are conducted by using the field trajectory data extracted from the Next Generation Simulation (NGSIM project. During the model training and validation tests, the estimation results show that the SVR model performs as well as IDM model with respect to the model prediction accuracy. In addition, this paper performs a relative importance analysis to quantify the multianticipation in terms of the different stimuli to which drivers react in platoon car following. The analysis results confirm that drivers respond to the behavior of not only the immediate leading vehicle in front but also the second, third, and even fourth leading vehicles. Specifically, in congested traffic conditions, drivers are observed to be more sensitive to the relative speed than to the gap. These findings provide insight into multianticipative driving behavior and illustrate the necessity of taking into account multianticipative car-following model in microscopic traffic simulation.

  16. Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder

    Directory of Open Access Journals (Sweden)

    HaiLong Liu

    2018-02-01

    Full Text Available Data representing driving behavior, as measured by various sensors installed in a vehicle, are collected as multi-dimensional sensor time-series data. These data often include redundant information, e.g., both the speed of wheels and the engine speed represent the velocity of the vehicle. Redundant information can be expected to complicate the data analysis, e.g., more factors need to be analyzed; even varying the levels of redundancy can influence the results of the analysis. We assume that the measured multi-dimensional sensor time-series data of driving behavior are generated from low-dimensional data shared by the many types of one-dimensional data of which multi-dimensional time-series data are composed. Meanwhile, sensor time-series data may be defective because of sensor failure. Therefore, another important function is to reduce the negative effect of defective data when extracting low-dimensional time-series data. This study proposes a defect-repairable feature extraction method based on a deep sparse autoencoder (DSAE to extract low-dimensional time-series data. In the experiments, we show that DSAE provides high-performance latent feature extraction for driving behavior, even for defective sensor time-series data. In addition, we show that the negative effect of defects on the driving behavior segmentation task could be reduced using the latent features extracted by DSAE.

  17. Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.

    Science.gov (United States)

    Liu, HaiLong; Taniguchi, Tadahiro; Takenaka, Kazuhito; Bando, Takashi

    2018-02-16

    Data representing driving behavior, as measured by various sensors installed in a vehicle, are collected as multi-dimensional sensor time-series data. These data often include redundant information, e.g., both the speed of wheels and the engine speed represent the velocity of the vehicle. Redundant information can be expected to complicate the data analysis, e.g., more factors need to be analyzed; even varying the levels of redundancy can influence the results of the analysis. We assume that the measured multi-dimensional sensor time-series data of driving behavior are generated from low-dimensional data shared by the many types of one-dimensional data of which multi-dimensional time-series data are composed. Meanwhile, sensor time-series data may be defective because of sensor failure. Therefore, another important function is to reduce the negative effect of defective data when extracting low-dimensional time-series data. This study proposes a defect-repairable feature extraction method based on a deep sparse autoencoder (DSAE) to extract low-dimensional time-series data. In the experiments, we show that DSAE provides high-performance latent feature extraction for driving behavior, even for defective sensor time-series data. In addition, we show that the negative effect of defects on the driving behavior segmentation task could be reduced using the latent features extracted by DSAE.

  18. Hand on the wheel, mind on the mobile: an analysis of social factors contributing to texting while driving.

    Science.gov (United States)

    Seiler, Steven J

    2015-02-01

    In an era defined by social technology, mobile phones provide constant connection to others. However, they also present a very dangerous situation when people choose to use their mobile phones while driving. In particular, exchanging text messages while driving has resulted in numerous accidents and fatalities. The purpose of this study is to examine social factors that lead people to text while driving. Specifically, using a multivariate logistic regression analysis of data from a 2010 survey by the Pew Research Center, variables for general mobile talk, driving while talking on a mobile, using the Internet on a mobile, sexting, and various motivations for texting were examined to determine factors that increase the likelihood of texting while driving. The findings suggest that people engage in mobile multiplexing (i.e., communication using two or more media on the mobile) while driving. Additionally, exchanging text messages in public, and consequently texting while driving, has become normalized. Furthermore, people are socialized into such behaviors through observing others texting while driving and using a mobile recklessly while driving. Finally, a number of motivations for texting were found to increase the likelihood of texting while driving significantly. Ultimately, the author contends that texting while driving has become a cultural artifact in the United States, which conflicts with driver safety as well as laws prohibiting texting while driving. The findings of this study could inform future awareness campaigns and technology developers to help establish a safer driving environment within the multitasking culture.

  19. Smartphone Based Approach For Monitoring Inefficient And Unsafe Driving Behavior And Recognizing Drink And Drive Conditions.

    Directory of Open Access Journals (Sweden)

    G. V. Mane

    2015-08-01

    Full Text Available Many automobile drivers having knowledge of the driving behaviours and habits that can lead to inefficient and unsafe driving. However it is often the case that these same drivers unknowingly manifest these inefficient and unsafe driving behaviours in their everyday driving activity. The proposed system proposes a practical and economical way to capture measure and alert drives of inefficient and unsafe driving as well as highly efficient system aimed at early detection and alert of dangerous vehicle maneuvers typically related to drunk driving. The upcoming solution consists of a mobile application running on a modern smartphone device paired with a compatible OBDII On-board diagnostics II reader.

  20. PMBLDC motor drive with power factor correction controller

    DEFF Research Database (Denmark)

    George, G.J.; Ramachandran, Rakesh; Arun, N.

    2012-01-01

    This paper presents a boost converter configuration, control scheme and design of single phase power factor controller for permanent magnet brushless DC motor (PMBLDCM) drive. PMBLDC motors are the latest choice of researchers, due to the high efficiency, silent operation, compact size, high...

  1. Factors That Drive RTO Performance: An Overview. Synthesis Report

    Science.gov (United States)

    Misko, Josie

    2017-01-01

    This paper provides an overview of recent research on the factors that drive the performance of registered training organisations (RTOs), with a view to identifying areas for future research. Initially it explores the drivers of RTO performance; then discusses findings from available literature from Australia and from overseas, and discusses some…

  2. Recruitment of bloom-forming cyanobacteria and its driving factors

    African Journals Online (AJOL)

    STORAGESEVER

    2008-12-29

    Dec 29, 2008 ... Based on most of the literature, this paper reviewed the progress made in following aspects: cognition to cyanobacteria recruitment, various traps for studying cyanobacteria recruitment in lakes, recruitment patterns of some species of cyanobacteria, and the driving factors for recruitment. Additionally,.

  3. Recruitment of bloom-forming cyanobacteria and its driving factors ...

    African Journals Online (AJOL)

    Based on most of the literature, this paper reviewed the progress made in following aspects: cognition to cyanobacteria recruitment, various traps for studying cyanobacteria recruitment in lakes, recruitment patterns of some species of cyanobacteria, and the driving factors for recruitment. Additionally, perspective studies of ...

  4. Driving-forces model on individual behavior in scenarios considering moving threat agents

    Science.gov (United States)

    Li, Shuying; Zhuang, Jun; Shen, Shifei; Wang, Jia

    2017-09-01

    The individual behavior model is a contributory factor to improve the accuracy of agent-based simulation in different scenarios. However, few studies have considered moving threat agents, which often occur in terrorist attacks caused by attackers with close-range weapons (e.g., sword, stick). At the same time, many existing behavior models lack validation from cases or experiments. This paper builds a new individual behavior model based on seven behavioral hypotheses. The driving-forces model is an extension of the classical social force model considering scenarios including moving threat agents. An experiment was conducted to validate the key components of the model. Then the model is compared with an advanced Elliptical Specification II social force model, by calculating the fitting errors between the simulated and experimental trajectories, and being applied to simulate a specific circumstance. Our results show that the driving-forces model reduced the fitting error by an average of 33.9% and the standard deviation by an average of 44.5%, which indicates the accuracy and stability of the model in the studied situation. The new driving-forces model could be used to simulate individual behavior when analyzing the risk of specific scenarios using agent-based simulation methods, such as risk analysis of close-range terrorist attacks in public places.

  5. The big five personality factors as predictors of driving status in older adults.

    Science.gov (United States)

    Gadbois, Emily A; Dugan, Elizabeth

    2015-02-01

    Although factors including cognitive and health status have been associated with driving cessation in older adults, the role of psychosocial variables is not well studied. Previous research on young adult drivers has suggested that personality may be related to driving behavior, but this study is among the first to explore the relationship between driving status and the Big Five Model of personality for older adults. Data are from the Health and Retirement Study (2008 wave, n = 4,028). Descriptive, bivariate, and multiple logistic regression analyses were conducted. Neuroticism (β = -0.4511, p Personality adds a unique contribution to the prediction of late-life driving status. © The Author(s) 2014.

  6. The traffic climate in China: The mediating effect of traffic safety climate between personality and dangerous driving behavior.

    Science.gov (United States)

    Zhang, Qian; Ge, Yan; Qu, Weina; Zhang, Kan; Sun, Xianghong

    2018-04-01

    Traffic safety climate is defined as road users' attitudes and perceptions of traffic in a specific context at a given point in time. The current study aimed to validate the Chinese version of the Traffic Climate Scale (TCS) and to explore its relation to drivers' personality and dangerous driving behavior. A sample of 413 drivers completed the Big Five Inventory (BFI), the Chinese version of the TCS, the Dula Dangerous Driving Index (DDDI) and a demographic questionnaire. Exploratory factor analysis and confirmatory factor analysis were performed to confirm a three-factor (external affective demands, internal requirements and functionality) solution of the TCS. The reliability and validity of the Chinese version of TCS were verified. More importantly, the results showed that the effect of personality on dangerous driving behavior was mediated by traffic climate. Specifically, the functionality of the TCS mediated the effect of neuroticism on negative cognitive/emotional driving and drunk driving, while openness had an indirect impact on aggressive driving, risky driving and drunk driving based on the internal requirements of the TCS. Additionally, agreeableness had a negative direct impact on four factors of the DDDI, while neuroticism had a positive direct impact on negative cognitive/emotional driving, drunk driving and risky driving. In conclusion, the Chinese version of the TCS will be useful to evaluate drivers' attitudes towards and perceptions of the requirements of traffic environment in which they participate and will also be valuable for comparing traffic cultures and environments in different countries. Copyright © 2018 Elsevier Ltd. All rights reserved.

  7. Driving with Pets as a Risk Factor for Motor Vehicle Collisions among Older Drivers

    Science.gov (United States)

    Blunck, Hallie; Owsley, Cynthia; MacLennan, Paul A.; McGwin, Gerald

    2015-01-01

    Increasing rates of distraction-related motor vehicle collisions (MVCs) continue to raise concerns regarding driving safety. This study sought to evaluate a novel driving-related distraction, driving with a pet, as a risk factor for MVCs among older, community dwelling adults. Two thousand licensed drivers aged 70 and older were identified, of whom 691 reported pet ownership. Comparing pet owners who did and did not drive with their pets, neither overall MVC rates (rate ratio [RR] 0.97 95% confidence interval [CI] 0.75–1.26) nor at-fault MVC rates (RR 0.84 95% CI 0.57–1.24) were elevated. However, those who reported always driving with a pet in the vehicle had an elevated MVC rate (RR 1.89 95% CI 1.10–3.25), as compared to those who did not drive with a pet. The MVC rate was not increased for those reporting only sometimes or rarely driving with a pet in the vehicle. The current study demonstrates an increased risk of MVC involvement in those older drivers who always take a pet with them when they drive a vehicle. When confronted with an increased cognitive or physical workload while driving, elderly drivers in prior studies have exhibited slower cognitive performance and delayed response times in comparison to younger age groups. Further study of pet-related distracted driving behaviors among older drivers as well as younger populations with respect to driver safety and performance is warranted to appropriately inform the need for policy regulation on this issue. PMID:23708755

  8. Factorization of Behavioral Integrity

    DEFF Research Database (Denmark)

    Li, Ximeng; Nielson, Flemming; Nielson, Hanne Riis

    2015-01-01

    We develop a bisimulation-based nonintereference property that describes the allowed dependencies between communication behaviors of different integrity levels. The property is able to capture all possible combinations of integrity levels for the “presence” and “content” of actual communications...

  9. Factors influencing the control strategy of hybrid drive of urban public transport buses

    International Nuclear Information System (INIS)

    Barta, Dalibor; Mruzek, Martin

    2015-01-01

    The efficiency of each drives is dependent on many factors. Hybrid drives and specially the drives of urban public transport may be affected by other factors given by transport infrastructure or operational conditions. These factors condition the suitable configuration of the individual elements of hybrid drive and the establishment of good control strategy of such drive. The study of influencing factors of the control strategy is the aim of this paper. (full text)

  10. Driving behavior recognition using EEG data from a simulated car-following experiment.

    Science.gov (United States)

    Yang, Liu; Ma, Rui; Zhang, H Michael; Guan, Wei; Jiang, Shixiong

    2017-11-23

    Driving behavior recognition is the foundation of driver assistance systems, with potential applications in automated driving systems. Most prevailing studies have used subjective questionnaire data and objective driving data to classify driving behaviors, while few studies have used physiological signals such as electroencephalography (EEG) to gather data. To bridge this gap, this paper proposes a two-layer learning method for driving behavior recognition using EEG data. A simulated car-following driving experiment was designed and conducted to simultaneously collect data on the driving behaviors and EEG data of drivers. The proposed learning method consists of two layers. In Layer I, two-dimensional driving behavior features representing driving style and stability were selected and extracted from raw driving behavior data using K-means and support vector machine recursive feature elimination. Five groups of driving behaviors were classified based on these two-dimensional driving behavior features. In Layer II, the classification results from Layer I were utilized as inputs to generate a k-Nearest-Neighbor classifier identifying driving behavior groups using EEG data. Using independent component analysis, a fast Fourier transformation, and linear discriminant analysis sequentially, the raw EEG signals were processed to extract two core EEG features. Classifier performance was enhanced using the adaptive synthetic sampling approach. A leave-one-subject-out cross validation was conducted. The results showed that the average classification accuracy for all tested traffic states was 69.5% and the highest accuracy reached 83.5%, suggesting a significant correlation between EEG patterns and car-following behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. Spatiotemporal Variations and Driving Factors of Air Pollution in China

    OpenAIRE

    Dongsheng Zhan; Mei-Po Kwan; Wenzhong Zhang; Shaojian Wang; Jianhui Yu

    2017-01-01

    In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese citi...

  12. Exploring the Driving Factors of Construction Industrialization Development in China

    Science.gov (United States)

    Xiahou, Xiaer; Yuan, Jingfeng; Tang, Yuchun; Li, Qiming

    2018-01-01

    Construction industrialization (CI) has been adopted worldwide because of its potential benefits. However, current research shows the incentives for adopting CI may differ in different regions. While the promotion of CI in China is still at the initial stage, a systematical analysis of the driving factors would help decision makers get a comprehensive understanding of CI development and select proper strategies to promote CI. This research combines qualitative and quantitative methods to explore the construction industrialization driving factors (CIDFs) in China. The grounded theory method (GTM) was employed to explore CI concepts among 182 CI-related articles published in 10 top-tier journals from 2000 to 2017. A total of 15 CIDFs were identified, including one suggested by professionals during a pre-test questionnaire survey. The analysis showed that the development of CI in China is pushed by macrodevelopment and pulled by the government and is also a self-driven process. The major driving factors for CI adoption in China are the transformation and upgrade of the conventional construction industry and the solution of development dilemmas. Our study also suggests that pilot programs are, currently, the most effective method to promote CI in China and to accumulate experience so to gain recognition by the society. This research is also of value for CI promotion in other developing countries. PMID:29510507

  13. Exploring the Driving Factors of Construction Industrialization Development in China

    Directory of Open Access Journals (Sweden)

    Xiaer Xiahou

    2018-03-01

    Full Text Available Construction industrialization (CI has been adopted worldwide because of its potential benefits. However, current research shows the incentives for adopting CI may differ in different regions. While the promotion of CI in China is still at the initial stage, a systematical analysis of the driving factors would help decision makers get a comprehensive understanding of CI development and select proper strategies to promote CI. This research combines qualitative and quantitative methods to explore the construction industrialization driving factors (CIDFs in China. The grounded theory method (GTM was employed to explore CI concepts among 182 CI-related articles published in 10 top-tier journals from 2000 to 2017. A total of 15 CIDFs were identified, including one suggested by professionals during a pre-test questionnaire survey. The analysis showed that the development of CI in China is pushed by macrodevelopment and pulled by the government and is also a self-driven process. The major driving factors for CI adoption in China are the transformation and upgrade of the conventional construction industry and the solution of development dilemmas. Our study also suggests that pilot programs are, currently, the most effective method to promote CI in China and to accumulate experience so to gain recognition by the society. This research is also of value for CI promotion in other developing countries.

  14. Exploring the Driving Factors of Construction Industrialization Development in China.

    Science.gov (United States)

    Xiahou, Xiaer; Yuan, Jingfeng; Liu, Yan; Tang, Yuchun; Li, Qiming

    2018-03-03

    Construction industrialization (CI) has been adopted worldwide because of its potential benefits. However, current research shows the incentives for adopting CI may differ in different regions. While the promotion of CI in China is still at the initial stage, a systematical analysis of the driving factors would help decision makers get a comprehensive understanding of CI development and select proper strategies to promote CI. This research combines qualitative and quantitative methods to explore the construction industrialization driving factors (CIDFs) in China. The grounded theory method (GTM) was employed to explore CI concepts among 182 CI-related articles published in 10 top-tier journals from 2000 to 2017. A total of 15 CIDFs were identified, including one suggested by professionals during a pre-test questionnaire survey. The analysis showed that the development of CI in China is pushed by macrodevelopment and pulled by the government and is also a self-driven process. The major driving factors for CI adoption in China are the transformation and upgrade of the conventional construction industry and the solution of development dilemmas. Our study also suggests that pilot programs are, currently, the most effective method to promote CI in China and to accumulate experience so to gain recognition by the society. This research is also of value for CI promotion in other developing countries.

  15. Large-Scale Battery System Development and User-Specific Driving Behavior Analysis for Emerging Electric-Drive Vehicles

    Directory of Open Access Journals (Sweden)

    Yihe Sun

    2011-04-01

    Full Text Available Emerging green-energy transportation, such as hybrid electric vehicles (HEVs and plug-in HEVs (PHEVs, has a great potential for reduction of fuel consumption and greenhouse emissions. The lithium-ion battery system used in these vehicles, however, is bulky, expensive and unreliable, and has been the primary roadblock for transportation electrification. Meanwhile, few studies have considered user-specific driving behavior and its significant impact on (PHEV fuel efficiency, battery system lifetime, and the environment. This paper presents a detailed investigation of battery system modeling and real-world user-specific driving behavior analysis for emerging electric-drive vehicles. The proposed model is fast to compute and accurate for analyzing battery system run-time and long-term cycle life with a focus on temperature dependent battery system capacity fading and variation. The proposed solution is validated against physical measurement using real-world user driving studies, and has been adopted to facilitate battery system design and optimization. Using the collected real-world hybrid vehicle and run-time driving data, we have also conducted detailed analytical studies of users’ specific driving patterns and their impacts on hybrid vehicle electric energy and fuel efficiency. This work provides a solid foundation for future energy control with emerging electric-drive applications.

  16. National survey of drinking and driving attitudes and behaviors : traffic tech.

    Science.gov (United States)

    2010-08-01

    The National Highway Traffic Safety Administration : conducts the National Survey of Drinking and Driving : Attitudes and Behaviors on a periodic basis to monitor the : publics attitudes, knowledge, and self-reported behavior : regarding drinking ...

  17. Integration of a driving simulator and a traffic simulator case study: Exploring drivers' behavior in response to variable message signs

    Directory of Open Access Journals (Sweden)

    Mansoureh Jeihani

    2017-12-01

    Full Text Available For the first time, a driving simulator has been integrated with a traffic simulator at the network level to allow subjects to drive in a fairly realistic environment with a realistic traffic flow and density. A 10 mi2 (25 km2 network was developed in a driving simulator and then exported to a traffic simulator. About 30 subjects drove the simulator under different traffic and driving conditions and variable message sign (VMS information, both with and without integration. Route guidance was available for the subjects. The challenges of the integration process are explained and its advantages investigated. The study concluded that traffic density, VMS reliability and compliance behavior are higher when driving and traffic simulators are integrated. To find factors affecting route diversion, researchers applied a binary logistic regression model. The results indicated that the original chosen route, displayed VMS information, subjects' attitude toward VMS information helpfulness, and their level of exposure to VMS affect route diversion. In addition, a multinomial logistic regression model was employed to investigate important factors in route choice. The results revealed that there is a significant correlation with driver route choice behavior and their actual travel time, the need for GPS, VMS exposure and also the designed scenarios. It should be noted that the paper was peer-reviewed by TRB and presented at the TRB Annual Meeting, Washington, D.C., January 2016. Keywords: Integration, Variable message sign, Compliance behavior, Driving simulator, Traffic simulator, Discrete choice analysis

  18. Anomalous Scaling Behaviors in a Rice-Pile Model with Two Different Driving Mechanisms

    International Nuclear Information System (INIS)

    Zhang Duanming; Sun Hongzhang; Li Zhihua; Pan Guijun; Yu Boming; Li Rui; Yin Yanping

    2005-01-01

    The moment analysis is applied to perform large scale simulations of the rice-pile model. We find that this model shows different scaling behavior depending on the driving mechanism used. With the noisy driving, the rice-pile model violates the finite-size scaling hypothesis, whereas, with fixed driving, it shows well defined avalanche exponents and displays good finite size scaling behavior for the avalanche size and time duration distributions.

  19. Self-reported and observed risky driving behaviors among frequent and infrequent cell phone users.

    Science.gov (United States)

    Zhao, Nan; Reimer, Bryan; Mehler, Bruce; D'Ambrosio, Lisa A; Coughlin, Joseph F

    2013-12-01

    The apparently higher crash risk among individuals who use cell phones while driving may be due both to the direct interference of cell phone use with the driving task and tendencies to engage in risky driving behaviors independent of cell phone use. Measurements of actual highway driving performance, self-reported aberrant driving behaviors as measured by the Manchester Driver Behavior Questionnaire (DBQ), and attitudes toward speeding, passing behaviors and relative concern about being involved in a crash were assessed. Individuals who reported frequently using cell phones while driving were found to drive faster, change lanes more frequently, spend more time in the left lane, and engage in more instances of hard braking and high acceleration events. They also scored higher in self-reported driving violations on the DBQ and reported more positive attitudes toward speeding and passing than drivers who did not report using a cell phone regularly while driving. These results indicate that a greater reported frequency of cell phone use while driving is associated with a broader pattern of behaviors that are likely to increase the overall risk of crash involvement. Copyright © 2012 Elsevier Ltd. All rights reserved.

  20. The texting and driving epidemic : changing norms to change behavior.

    Science.gov (United States)

    2013-09-01

    This campaign was created to reduce texting and driving and to increase awareness of the serious risks involved with texting and driving. The target audience of the campaign is University of Kansas students. This plan proposes an Anti-Texting and ...

  1. Factors associated with driving in teens with autism spectrum disorders.

    Science.gov (United States)

    Huang, Patty; Kao, Trudy; Curry, Allison E; Durbin, Dennis R

    2012-01-01

    To compare the characteristics of driving and nondriving teens and explore the driving outcomes for teens with higher functioning autism spectrum disorders. Parents of teens aged 15 to 18 years with a parent-reported diagnosis of an autism spectrum disorder enrolled in Interactive Autism Network, an online research registry, were eligible for this cross-sectional study. An online survey was used for data collection. A total of 297 parents completed the survey. Sixty-three percent of teens currently drive or plan to drive. Twenty-nine percent of the teens who are age-eligible to drive currently drive. Compared with age-eligible but nondriving teens, a greater proportion of driving teens were in full-time regular education (p public transportation. Driving predictors included individualized education plans with driving goals, indicators of functional status (classroom placement, college aspiration, and job experience), and parent experience with teaching teens to drive. Twelve percent of teens received driving citations, and 12% of teens had been involved in a motor vehicle crash. Although a significant proportion of teens with higher functioning autism spectrum disorders were driving or learning to drive, the fact that most driving teens' individualized education plans did not include driving goals suggests an area of opportunity for improvement in transition planning. Driving teens were more frequently in regular education settings with college aspirations, which could help schools identify potential drivers.

  2. Cellular and Molecular Mechanisms of REM Sleep Homeostatic Drive: A Plausible Component for Behavioral Plasticity

    Directory of Open Access Journals (Sweden)

    Subimal Datta

    2017-09-01

    Full Text Available Homeostatic regulation of REM sleep drive, as measured by an increase in the number of REM sleep transitions, plays a key role in neuronal and behavioral plasticity (i.e., learning and memory. Deficits in REM sleep homeostatic drive (RSHD are implicated in the development of many neuropsychiatric disorders. Yet, the cellular and molecular mechanisms underlying this RSHD remain to be incomplete. To further our understanding of this mechanism, the current study was performed on freely moving rats to test a hypothesis that a positive interaction between extracellular-signal-regulated kinase 1 and 2 (ERK1/2 activity and brain-derived neurotrophic factor (BDNF signaling in the pedunculopontine tegmentum (PPT is a causal factor for the development of RSHD. Behavioral results of this study demonstrated that a short period (<90 min of selective REM sleep restriction (RSR exhibited a strong RSHD. Molecular analyses revealed that this increased RSHD increased phosphorylation and activation of ERK1/2 and BDNF expression in the PPT. Additionally, pharmacological results demonstrated that the application of the ERK1/2 activation inhibitor U0126 into the PPT prevented RSHD and suppressed BDNF expression in the PPT. These results, for the first time, suggest that the positive interaction between ERK1/2 and BDNF in the PPT is a casual factor for the development of RSHD. These findings provide a novel direction in understanding how RSHD-associated specific molecular changes can facilitate neuronal plasticity and memory processing.

  3. The Influence of Parental and Peer Drinking Behaviors on Underage Drinking and Driving by Young Men

    Science.gov (United States)

    Zhang, Lening; Wieczorek, William F.; Welte, John W.

    2012-01-01

    Background: Studies have consistently found that parental and peer drinking behaviors significantly influence adolescent drinking behavior and that adolescent drinking has a significant effect on their drinking-and-driving behavior. Building upon these studies, the present article assesses whether parental and peer drinking behaviors have direct…

  4. Scrolling and driving: how an MP3 player and its aftermarket controller affect driving performance and visual behavior.

    Science.gov (United States)

    Lee, John D; Roberts, Shannon C; Hoffman, Joshua D; Angell, Linda S

    2012-04-01

    The aim of this study was to assess how scrolling through playlists on an MP3 player or its aftermarket controller affects driving performance and to examine how drivers adapt device use to driving demands. Drivers use increasingly complex infotainment devices that can undermine driving performance. The goal activation hypothesis suggests that drivers might fail to compensate for these demands, particularly with long tasks and large search set sizes. A total of 50 participants searched for songs in playlists of varying lengths using either an MP3 player or an aftermarket controller while negotiating road segments with traffic and construction in a medium-fidelity driving simulator. Searching through long playlists (580 songs) resulted in poor driving performance and required more long glances (longer than 2 s) to the device compared with other playlist lengths. The aftermarket controller also led to more long glances compared with the MP3 player. Drivers did not adequately adapt their behavior to roadway demand, as evident in their degraded driving performance. No significant performance differences were found between short playlists, the radio-tuning task, and the no-task condition. Selecting songs from long playlists undermined driving performance, and drivers did not sufficiently adapt their use of the device to the roadway demands, consistent with the goal activation hypothesis. The aftermarket controller degraded rather than enhanced performance. Infotainment systems should support drivers in managing distraction. Aftermarket controllers can have the unintended effect of making devices carried into the car less compatible with driving.These results can motivate development of new interfaces as alternatives to scrolling lists.

  5. [Study on illegal driving behavior and vehicle road traffic injury in China from 2006 to 2010].

    Science.gov (United States)

    Dai, Jing; Yang, Yunjuan

    2015-06-01

    To study the characteristics and trend of illegal driving behavior in China to provide evidence for related policy enforcement. Using indices as death rate of ten thousand vehicle, death rate per 100 000 population, thousands of road mileage, degree of motorization and death ratio etc. to analyze the current situation, characteristics of illegal vehicle driving behavior related to road traffic injuries, in China. From 2006 to 2010, death ratio on vehicle road traffic injuries related to the top five illegal driving behaviors were as follows: speeding (from 0.33 down to 0.17), on refuse to give way to others (from 0.26 to 0.14), on driving without license (from 0.21 to 0.08), on illegal driving encroachment (from 0.17 to 0.04) and on reverse driving (from 0.11 to 0.07). Death rates related to vehicle road traffic injuries on drunk driving or fatigue driving were 0.04 in 2010 and 0.02 in 2010, respectively. Despite the fact that the number of vehicle road traffic injuries appeared a declining trend, the severity was increasing. Illegal driving behavior was still prevalent in China.

  6. In search for factors that drive hantavirus epidemics.

    Directory of Open Access Journals (Sweden)

    Paul eHeyman

    2012-07-01

    Full Text Available In Europe, hantaviruses (Bunyaviridae are small mammal-associated zoonotic and emerging pathogens that can cause hemorrhagic fever with renal syndrome (HFRS. Puumala virus, the main etiological agent carried by the bank vole Myodes glareolus is responsible for a mild form of HFRS while Dobrava virus induces less frequent but more severe cases of HFRS.Since 2000 in Europe, more than 3000 cases of HFRS have been recorded, in average, each year, which is nearly double compared to the previous decade. In addition to this upside long-term trend, significant oscillations occur. Epidemic years appear, usually every 2-4 years, with an increased incidence, generally in localised hot spots. Moreover, the virus has been identified in new areas in the recent years.A great number of surveys have been carried out in order to assess the prevalence of the infection in the reservoir host and to identify links with different biotic and abiotic factors. The factors that drive the infections are related to the density and diversity of bank vole populations, prevalence of infection in the reservoir host, viral excretion in the environment, survival of the virus outside its host, and human behaviour, which affect the main transmission virus route through inhalation of infected rodent excreta..At the scale of a rodent population, the prevalence of the infection increases with the age of the individuals but also other parameters, such as sex and genetic variability, interfere. The contamination of the environment may be correlated to the number of newly infected rodents, which heavily excrete the virus. The interactions between these different parameters add to the complexity of the situation and explain the absence of reliable tools to predict epidemics. In this review, the factors that drive the epidemics of hantaviruses in Middle Europe are discussed through a panorama of the epidemiological situation in Belgium, France and Germany.

  7. Risky driving and sexual behaviors as developmental outcomes of co-occurring substance use and antisocial behavior.

    Science.gov (United States)

    Luk, Jeremy W; Worley, Matthew J; Winiger, Evan; Trim, Ryan S; Hopfer, Christian J; Hewitt, John K; Brown, Sandra A; Wall, Tamara L

    2016-12-01

    To examine the associations between substance use and antisocial behavior trajectories and seven risky behaviors over time. Data were collected from a high-risk sample of adolescents followed into young adulthood. Five trajectory classes, identified based on dual development of substance use and antisocial behavior symptoms, were used to predict three risky driving and four risky sexual behaviors. In this high-risk sample (n=530), participants reported notably high overall rates of reckless driving (55.5%) and unprotected sex under the influence (44.8%) in the past year. Risky behaviors that are typically of low base rates in population-based studies were also elevated, with 8.8% reporting past-year driving under the influence (DUI) charge, 17.6% reporting lifetime sexually transmitted infection (STI), and 10.4% reporting lifetime injection drug use. The Dual Chronic class had the highest levels of all seven risky behaviors, and were 3-4 times more likely to report risky driving, lifetime STI, and injection drug use than the Relatively Resolved class. Rates of past-year reckless driving and DUI were elevated among classes with persistent antisocial behavior, whereas rates of DUI, DUI charge, and unprotected sex under the influence were elevated among classes with persistent substance use. Young adults with persistent co-occurring substance use and antisocial behavior engage in multiple very costly risky behaviors. Differential associations between risky behaviors and trajectory classes highlight the need for targeted interventions. Published by Elsevier Ireland Ltd.

  8. Comparing Expert Driving Behavior in Real World and Simulator Contexts

    Directory of Open Access Journals (Sweden)

    Hiran B. Ekanayake

    2013-01-01

    Full Text Available Computer games are increasingly used for purposes beyond mere entertainment, and current hi-tech simulators can provide quite, naturalistic contexts for purposes such as traffic education. One of the critical concerns in this area is the validity or transferability of acquired skills from a simulator to the real world context. In this paper, we present our work in which we compared driving in the real world with that in the simulator at two levels, that is, by using performance measures alone, and by combining psychophysiological measures with performance measures. For our study, we gathered data using questionnaires as well as by logging vehicle dynamics, environmental conditions, video data, and users' psychophysiological measurements. For the analysis, we used several novel approaches such as scatter plots to visualize driving tasks of different contexts and to obtain vigilance estimators from electroencephalographic (EEG data in order to obtain important results about the differences between the driving in the two contexts. Our belief is that both experimental procedures and findings of our experiment are very important to the field of serious games concerning how to evaluate the fitness of driving simulators and measure driving performance.

  9. What Drives Local Wine Expenditure in Kentucky, Ohio, Tennessee and Pennsylvania? A Consumer Behavior and Wine Market Segmentation Analysis

    OpenAIRE

    Deng, Xueting; Woods, Timothy

    2014-01-01

    This study explores wine expenditure driven factors for consumers in the United States by employing a four-state consumer behaviors study. A market segmentation method is applied to investigate spending patterns of wine consumers in Pennsylvania, Ohio, Kentucky, and Tennessee. Determinants including market segmentation measurements, lifestyle factors and demographic variables are investigated and compared for their significance in driving local wine expenditure, local wine purchase probabilit...

  10. UNIVERSITIES AND INCUBATORS: KEY FACTORS DRIVING ENTREPRENEURSHIP AND SOCIOECONOMIC DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Liane Mahlmann Kipper

    2014-12-01

    Full Text Available Economic diversification is an utterly important factor for regions that are directly or indirectly related to any productive mechanisms and seek to strengthen their foundations for the generation of jobs and income. Within this context, to invest in business preparation and maturation, especially in the ones related to the technological area, turns out to be an interesting mean of diversifying a regional economy that is facing the risk of stagnation. This study considers the importance of the role taken on by universities and their incubators in driving entrepreneurship and supporting the creation of new companies and the innovative capacity of a country through knowledge transfer amongst universities and companies, generating benefits and socioeconomic progress in a country. It also conducts a case study on a company of the information technology area, recently incubated and whose major objective consists in becoming part of this economic diversification basis.

  11. Predictors of Cell Phone Use in Distracted Driving: Extending the Theory of Planned Behavior.

    Science.gov (United States)

    Tian, Yan; Robinson, James D

    2017-09-01

    This study examines the predictors of six distracted driving behaviors, and the survey data partially support Ajzen's (1991) Theory of Planned Behavior (TPB). The data suggest that the attitude variable predicted intention to engage in all six distracted driving behaviors (reading and sending text messages, making and answering cell phone calls, reading/viewing social media, and posting on social media while driving). Extending the model to include past experience and the variable perceived safety of technology yielded an improvement in the prediction of the distraction variables. Specifically, past experience predicted all six distracted driving behaviors, and the variable perceived safety of technology predicted intentions to read/view social media and intention to post on social media while driving. The study provides evidence for the importance of incorporating expanded variables into the original TPB model to predict cell phone use behaviors while driving, and it suggests that it is essential to tailor campaign materials for each specific cell phone use behavior to reduce distracted driving.

  12. Developing a theoretical foundation to change road user behavior and improve traffic safety: Driving under the influence of cannabis (DUIC).

    Science.gov (United States)

    Ward, Nicholas J; Schell, William; Kelley-Baker, Tara; Otto, Jay; Finley, Kari

    2018-01-16

    This study explored a theoretical model to assess the influence of culture on willingness and intention to drive under the influence of cannabis (DUIC). This model is expected to guide the design of strategies to change future DUIC behavior in road users. This study used a survey methodology to obtain a nationally representative sample (n = 941) from the AmeriSpeak Panel. Survey items were designed to measure aspects of a proposed definition of traffic safety culture and a predictive model of its relationship to DUIC. Although the percentage of reported past DUIC behaviors was relatively low (8.5%), this behavior is still a significant public health issue-especially for younger drivers (18-29 years), who reported more DUIC than expected. Findings suggest that specific cultural components (attitudes, norms) reliably predict past DUIC behavior, general DUIC willingness, and future DUIC intention. Most DUIC behavior appears to be deliberate, related significantly to willingness and intention. Intention and willingness both appear to fully moderate the relationship between traffic safety culture and DUIC behavior. This study explored a theoretical model to understand road user behavior involving drug (cannabis)-impaired driving as a significant risk factor for traffic safety. By understanding the cultural factors that increase DUIC behavior, we can create strategies to transform this culture and sustain safer road user behavior.

  13. 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

  14. Exploring the Drinking/Driving Behaviors and Attitudes of College Students.

    Science.gov (United States)

    Geller, E. Scott

    While there is little research specifically dealing with college students and drunk driving, there is ample evidence of frequent, heavy drinking by students. A series of projects was undertaken to explore college students' drinking behavior and attitudes related to alcohol-impaired driving. These projects included: (1) analysis of behavioral…

  15. Social comparison and prosocial behavior: an applied study of social identity theory in community food drives.

    Science.gov (United States)

    Shipley, Andrew

    2008-04-01

    Social Identity Theory and the concept of social comparison have inspired research on individuals, addressing effects of personal and environmental factors in directing social attention. The theory's conceptual origins, however, suggest that social comparison may have behavioral implications as well. Such behaviors may include attempts by an individual to enhance the relative status of his ingroup on a salient dimension of comparison. Such behavior is referred to as "social competition." In two studies, the effects of social comparison and social competition were measured in the real-world environment of community food drives. Participants were aggregated by household; 600 households in upper middle-class neighborhoods in Eugene and Salem, Oregon, were contacted. In Study 1 of 300 households, it was hypothesized that inclusion of a social competition cue in requests for donation would significantly increase the likelihood of donation. This hypothesis was supported. Study 2 was done to clarify the possible role in a social comparison of perceived ingroup inferiority in the prior observed increase in donations. The inclusion of a social comparison cue in the donation request significantly increased donations in households of the second study. The findings suggest that researchers should expand study of the theory's behavioral implications, including the role of social comparison in prosocial behavior.

  16. Drinking and driving and other risk taking behaviors among ...

    African Journals Online (AJOL)

    This study assesses the relationship between drinking and driving and other risk taking behaviours among university students in Limpopo, South Africa aged 17 to 24 years old. A purposive sample of 111 undergraduate university student drivers participated in the study after they had consented to participate. More than ...

  17. National Phone Survey on Distracted Driving Attitudes and Behaviors

    Science.gov (United States)

    2011-12-01

    As more drivers take their cell phones into their vehicles, distracted driving continues to grow as a traffic safety issue. Most U.S. States : responded by enacting some sort of cell phone or texting ban. In November and December 2010, NHTSA conducte...

  18. Spatiotemporal Variations and Driving Factors of Air Pollution in China

    Directory of Open Access Journals (Sweden)

    Dongsheng Zhan

    2017-12-01

    Full Text Available In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP witness the strongest and most significant positive effects on air pollution ratio.

  19. Spatiotemporal Variations and Driving Factors of Air Pollution in China

    Science.gov (United States)

    Zhan, Dongsheng; Zhang, Wenzhong; Wang, Shaojian; Yu, Jianhui

    2017-01-01

    In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio. PMID:29292783

  20. Spatiotemporal Variations and Driving Factors of Air Pollution in China.

    Science.gov (United States)

    Zhan, Dongsheng; Kwan, Mei-Po; Zhang, Wenzhong; Wang, Shaojian; Yu, Jianhui

    2017-12-08

    In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio.

  1. National survey of drinking and driving attitudes and behaviors : 2008. Volume 3, methodology report

    Science.gov (United States)

    2010-08-01

    This report presents the details of the methodology used for the 2008 National Survey of Drinking and Driving Attitudes and Behaviors conducted by Gallup, Inc. for : the National Highway Traffic Safety Administration (NHTSA). This survey represents t...

  2. Gender differences in adapting driving behavior to accommodate visual health limitations.

    Science.gov (United States)

    Sarkin, Andrew J; Tally, Steven R; Wooldridge, Jennalee S; Choi, Kyle; Shieh, Marian; Kaplan, Robert M

    2013-12-01

    This study investigated whether men and women are equally likely to adapt their driving behaviors in response to visual limitations. Participants were 376 (222 women and 154 men) pre-surgical cataract patients from the Shiley Eye Center in La Jolla, California. All participants completed the National Eye Institute Visual Functioning Questionnaire, which assesses self-reported visual symptoms, functional limitations, and behaviors including driving during the day, at night, or in difficult conditions. Visual acuity was assessed using the log of the minimal angle of resolution (LogMAR) scale. There were no significant differences in LogMAR visual acuity between men and women who reported either that they stopped driving at night because of visual impairment or reported having no difficulty driving at night. Of participants who reported having difficulty driving at night, mean weighted LogMAR scores indicated significantly better visual acuity for women than men. There were no significant differences in LogMAR visual acuity between women and men in any of the difficult driving condition categories. Significantly more women than men reported that they stopped driving in difficult conditions because of eyesight, despite the lack of gender differences in visual acuity for this sample. We found no evidence that cataract disease had different effects on the visual acuity of older adult men and women. However, there was a significant difference between genders in self-reported driving behavior. It is possible that some women are more cautious or have less need to drive. However, failing to adapt driving behaviors to accommodate visual limitations may represent a potential behavioral public health risk for men.

  3. Reassessing SERS enhancement factors: using thermodynamics to drive substrate design.

    Science.gov (United States)

    Guicheteau, J A; Tripathi, A; Emmons, E D; Christesen, S D; Fountain, Augustus W

    2017-12-04

    Over the past 40 years fundamental and application research into Surface-Enhanced Raman Scattering (SERS) has been explored by academia, industry, and government laboratories. To date however, SERS has achieved little commercial success as an analytical technique. Researchers are tackling a variety of paths to help break through the commercial barrier by addressing the reproducibility in both the SERS substrates and SERS signals as well as continuing to explore the underlying mechanisms. To this end, investigators use a variety of methodologies, typically studying strongly binding analytes such as aromatic thiols and azarenes, and report SERS enhancement factor calculations. However a drawback of the traditional SERS enhancement factor calculation is that it does not yield enough information to understand substrate reproducibility, application potential with another analyte, or the driving factors behind the molecule-metal interaction. Our work at the US Army Edgewood Chemical Biological Center has focused on these questions and we have shown that thermodynamic principles play a key role in the SERS response and are an essential factor in future designs of substrates and applications. This work will discuss the advantages and disadvantages of various experimental techniques used to report SERS enhancement with planar SERS substrates and present our alternative SERS enhancement value. We will report on three types of analysis scenarios that all yield different information concerning the effectiveness of the SERS substrate, practical application of the substrate, and finally the thermodynamic properties of the substrate. We believe that through this work a greater understanding for designing substrates will be achieved, one that is based on both thermodynamic and plasmonic properties as opposed to just plasmonic properties. This new understanding and potential change in substrate design will enable more applications for SERS based methodologies including targeting

  4. Factors driving physician-hospital alignment in orthopaedic surgery.

    Science.gov (United States)

    Page, Alexandra E; Butler, Craig A; Bozic, Kevin J

    2013-06-01

    The relationships between physicians and hospitals are viewed as central to the proposition of delivering high-quality health care at a sustainable cost. Over the last two decades, major changes in the scope, breadth, and complexities of these relationships have emerged. Despite understanding the need for physician-hospital alignment, identification and understanding the incentives and drivers of alignment prove challenging. Our review identifies the primary drivers of physician alignment with hospitals from both the physician and hospital perspectives. Further, we assess the drivers more specific to motivating orthopaedic surgeons to align with hospitals. We performed a comprehensive literature review from 1992 to March 2012 to evaluate published studies and opinions on the issues surrounding physician-hospital alignment. Literature searches were performed in both MEDLINE(®) and Health Business™ Elite. Available literature identifies economic and regulatory shifts in health care and cultural factors as primary drivers of physician-hospital alignment. Specific to orthopaedics, factors driving alignment include the profitability of orthopaedic service lines, the expense of implants, and issues surrounding ambulatory surgery centers and other ancillary services. Evolving healthcare delivery and payment reforms promote increased collaboration between physicians and hospitals. While economic incentives and increasing regulatory demands provide the strongest drivers, cultural changes including physician leadership and changing expectations of work-life balance must be considered when pursuing successful alignment models. Physicians and hospitals view each other as critical to achieving lower-cost, higher-quality health care.

  5. The relationship between personalities and self-report positive driving behavior in a Chinese sample.

    Directory of Open Access Journals (Sweden)

    Biying Shen

    Full Text Available Driving behaviors play an important role in accident involvement. Concretely speaking, aberrant driving behaviors would cause more accidents, and oppositely positive driving behaviors would promote to build safety traffic environment. The main goals of this study were to explore the positive driving behavior and its relationship with personality in a Chinese sample. A total of 421 licensed drivers (286 male and 135 female from Beijing, China completed the Positive Driver Behavior Scale (PDBS, the Driver Behavior Questionnaire (DBQ, the Dula Dangerous Driving Index (DDDI and the Big Five Inventory (BFI on a voluntary and anonymous basis. The results showed that the Chinese version of the PDBS has both reliability and validity and that the PDBS was significantly correlated with the BFI. Specifically, the PDBS was negatively correlated with neuroticism (r = -0.38 and positively correlated with extraversion, agreeableness, conscientiousness and openness to experience (the correlation coefficient ranged from 0.36 to 0.55. In contrast with previous research, age was negatively correlated with the PDBS (r = -0.38 in our sample, which may have resulted from less driving experience or a lack of available cognitive resources.

  6. Impact of Vehicular Countdown Signals on Driving Psychologies and Behaviors: Taking China as an Example

    Directory of Open Access Journals (Sweden)

    Fuquan Pan

    2017-01-01

    Full Text Available Countdown signal control is a relatively new control mode that can inform a driver in advance about the remaining time to pass through intersections or the time needed to wait for other drivers and pedestrians. At present, few countries apply vehicular countdown signals. However, in China, some cities have applied vehicular countdown signals for years, though it is unclear how and how much such signals influence driving psychologies and behaviors compared with non-countdown signal controls. The present work aims to clarify the impact of vehicular countdown signals on driving psychologies and behaviors on the cognitive level. A questionnaire survey with 32 questions about driving psychologies and behaviors was designed, and an online survey was conducted. A total of 1051 valid questionnaires were received. The survey data were analyzed, and the main results indicate that most of the surveyed drivers prefer countdown signal controls and think that such controls can improve not only traffic safety but also traffic operational efficiency. The surveyed drivers also think that countdown signal controls have an impact on driving psychologies and behaviors and the survey results have demonstrated that the driving behaviors of female drivers surveyed are not conservative under the clear conditions of green countdown signal control. Further studies and methods concerning the effects of countdown signals on driving psychologies and behaviors are discussed.

  7. European electric vehicle fleet: driving and charging behaviors

    OpenAIRE

    Corchero García, Cristina

    2015-01-01

    The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, end-users incentives, or to...

  8. 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.

  9. Attitudes on Technological, Social, and Behavioral Economic Strategies to Reduce Cellphone Use While Driving in Teens.

    Science.gov (United States)

    Delgado, M Kit; McDonald, Catherine C; Winston, Flaura K; Halpern, Scott D; Buttenheim, Alison M; Setubal, Claudia; Huang, Yanlan; Saulsgiver, Kathryn A; Lee, Yi-Ching

    2018-04-13

    The majority of U.S. teens admit to handheld cellphone use while driving, an increasingly common cause of crashes. Attitudes towards novel cellphone applications and settings that block use while driving are poorly understood, potentially limiting uptake. We examined teens' willingness to reduce cellphone use while driving and perceptions of potential strategies to limit this behavior. Teen drivers (n = 153) aged 16-17 who owned smartphones and admitted to texting while driving completed an online survey. Survey instruments measured willingness to give up cellphone use and perceptions of technological and behavioral economic strategies to reduce cellphone use while driving. We used Chi-square tests to test the hypothesis that willingness to give up certain types of cellphone use while driving and the perceptions of strategies to reduce cellphone use while driving would differ by self-reported frequency of texting while driving in the past 30 days (low [1-5 days] vs. high [6 or more days]. Most teens were willing or somewhat willing to give up reading texts (90%), sending texts (95%), and social media (99%) while driving. However they were not willing to give up navigation (59%) and music applications (43%). Those who engaged in high-frequency texting while driving were more likely to say they were not willing to give up navigation applications (73% vs. 44%, P distraction (86%). The predominant reason for not wanting to use this technology was not wanting parents to monitor their behavior (60%). Promising strategies for increasing acceptance of cellphone blocking technology among teen drivers include automated screen locking and permitting hands-free navigation and music combined with behavioral economic incentives to sustain engagement.

  10. Psychiatric Disorders, Sociodemographic Features and Risk Factors in Children Driving to Committing Crime (Turkish

    Directory of Open Access Journals (Sweden)

    Murat Eyüboğlu

    2018-03-01

    Full Text Available Object: The aim of this study was to examine children driving to committing crime who were brought to psychiatry clinic for forensic evaluation because of the crimes they committed to. Additionally, evaluation of these children's psychiaytric disorders, crime characteristics, sociodemographic data, factors driving to committing crime and forensic reports arranged by the physician were other aims. Methods: In this study 204 children, who were brought to the clinic in order to be evaluated whether they perceive the legal meaning and consequences of that action or possess sufficient ability to channel their behaviors, were included. In order to diagnose any psychiatric disorder, a structured interrogation schedule for affective disorders and schizophrenia for present and lifetime was applied all children and families and sociodemographic data form was completed. Results: At least one psychiatric disorder was present in 47% (n =96 of children driving to committing crime. The most common disorders were Attention Deficit and Hyperactivity Disorder and Conduct Disorder. Almost none of them have been treated before. 45% of them dropped out their school, and 40% were smoking. Additionally, most of their parents who had low socioeconomical level also had very low education level. Discussion: It was determined that being male, living in a low socioeconomic family environment, living in large families, using drugs, smoking, not attending school and having parents with low education level were significant related factors for juvenile delinquency.

  11. Attitudes and behaviors related to distracted driving in college students: a need for interventions in adolescence.

    Science.gov (United States)

    Basch, Corey H; MacLean, Sarah A; Garcia, Philip

    2017-08-05

    Objective One of the biggest contributors to distracted driving among young people in the United States is technology. The objective of this study was to describe distracted driving behaviors among college students, with a specific focus on attitudes towards and use of social media. Methods With written permission, a survey was adapted from the Distracted Driving Public Opinion Poll distributed by the National Safety Council. The survey comprised 43 questions assessing attitudes and behaviors. A total of 411 students enrolled in a personal health course were invited to complete the survey. In total 324 surveys were completed, resulting in a response rate of 79%. Results Among students with a driver's license, 95.2% reported engaging in distracted driving behaviors. The use of social media while driving was common, with 30.7% reporting that they glance at, read, or post to social media while driving, most commonly on Snapchat or Instagram. It was common for students to make or answer phone calls (72.0%), review or send text messages (54.6%), or glance at or read automatic notifications (43.3%). Almost all students (91.5%) reported that they believed a hands-free solution is safer than holding the phone while driving, but only 67.9% reported that they usually used a hands-free device. Students in a health major and students who drive in urban areas were more likely to engage in distracted driving behaviors. Conclusions These findings suggest a need for interventions, particularly those which target adolescents in an attempt to deter these behaviors as they transition into adulthood.

  12. Human factors of transitions in automated driving : A general framework and literature survey

    NARCIS (Netherlands)

    Lu, Z.; Happee, R.; Cabrall, C.D.D.; Kyriakidis, M.; de Winter, J.C.F.

    2016-01-01

    The topic of transitions in automated driving is becoming important now that cars are automated to ever greater extents. This paper proposes a theoretical framework to support and align human factors research on transitions in automated driving. Driving states are defined based on the allocation of

  13. Eco-driving behavior tendency among Indonesian people: a preliminary study

    Science.gov (United States)

    Zuraida, Rida; Widjaja, Dimitrius

    2017-12-01

    Eco-driving behavior can be triggered by many aspects such as economic and environmental awareness. In Indonesia this issue received less attention from citizen, whereas it has significant roles in reducing greenhouse gas emission. This paper initiated a study about eco-driving tendency behavior among Indonesian people, the objective is to see whether current behavior support or not, and does the differences between gender and age exist. Adopted on-line study method using an online form questionnaire„ 27 questions developed consist of 8 items related to individual data, 19 items related to perception and driving behavior. The respond measures using 5 scale option answers (i.e. strongly disagree, disagree, quite agree, agree, and strongly agree). Based on average respondents’ answers, can be concluded that the tendency of behavior somewhat supports to in line with eco-driving behavior. After Q15 and Q18 omitted based on Pearson-product moment correlation, further analysis results showed that most of respondents categorized into mild tendency behavior (109 respondents). However, a mild tendency among female respondents are higher than male, and the strong tendency of males is higher than female respondents. Based on gender, there are no significant tendency behavior differences between male and female (p-value = 0, 320), and also among age groups (30y, 31-40y, 41-50y, and >50y), even though age >50 have a lower tendency to the behavior compare to other groups.

  14. Modeling Left-Turn Driving Behavior at Signalized Intersections with Mixed Traffic Conditions

    Directory of Open Access Journals (Sweden)

    Hong Li

    2016-01-01

    Full Text Available In many developing countries, mixed traffic is the most common type of urban transportation; traffic of this type faces many major problems in traffic engineering, such as conflicts, inefficiency, and security issues. This paper focuses on the traffic engineering concerns on the driving behavior of left-turning vehicles caused by different degrees of pedestrian violations. The traffic characteristics of left-turning vehicles and pedestrians in the affected region at a signalized intersection were analyzed and a cellular-automata-based “following-conflict” driving behavior model that mainly addresses four basic behavior modes was proposed to study the conflict and behavior mechanisms of left-turning vehicles by mathematic methodologies. Four basic driving behavior modes were reproduced in computer simulations, and a logit model of the behavior mode choice was also developed to analyze the relative share of each behavior mode. Finally, the microscopic characteristics of driving behaviors and the macroscopic parameters of traffic flow in the affected region were all determined. These data are important reference for geometry and capacity design for signalized intersections. The simulation results show that the proposed models are valid and can be used to represent the behavior of left-turning vehicles in the case of conflicts with illegally crossing pedestrians. These results will have potential applications on improving traffic safety and traffic capacity at signalized intersections with mixed traffic conditions.

  15. Who's not driving among U.S. high school seniors: A closer look at race/ethnicity, socioeconomic factors, and driving status.

    Science.gov (United States)

    Shults, Ruth A; Banerjee, Tanima; Perry, Timothy

    2016-11-16

    We examined associations among race/ethnicity, socioeconomic factors, and driving status in a nationally representative sample of >26,000 U.S. high school seniors. Weighted data from the 2012 and 2013 Monitoring the Future surveys were combined and analyzed. We imputed missing values using fully conditional specification multiple imputation methods. Multivariate logistic regression modeling was conducted to explore associations among race/ethnicity, socioeconomic factors, and driving status, while accounting for selected student behaviors and location. Lastly, odds ratios were converted to prevalence ratios. 23% of high school seniors did not drive during an average week; 14% of white students were nondrivers compared to 40% of black students. Multivariate analysis revealed that minority students were 1.8 to 2.5 times more likely to be nondrivers than their white counterparts, and students who had no earned income were 2.8 times more likely to be nondrivers than those earning an average of ≥$36 a week. Driving status also varied considerably by student academic performance, number of parents in the household, parental education, census region, and urbanicity. Our findings suggest that resources-both financial and time-influence when or whether a teen will learn to drive. Many young people from minority or lower socioeconomic families who learn to drive may be doing so after their 18th birthday and therefore would not take advantage of the safety benefits provided by graduated driver licensing. Innovative approaches may be needed to improve safety for these young novice drivers.

  16. Driving Factors of Understory Evapotranspiration within a Siberian Larch Forest

    Science.gov (United States)

    Tobio, A.; Loranty, M. M.; Kropp, H.; Pena, H., III; Alexander, H. D.; Natali, S.; Kholodov, A. L.; Spawn, S.; Farmer, S.

    2017-12-01

    Amplified rates of climate change are causing alterations in vegetation productivity, hydrologic cycling, and wildfire severity and intensity in arctic ecosystems. Boreal larch forests in northeastern Siberia are a critical but understudied ecosystem that are affected by these modifications. These forests cover 2.5 million km2 with densities ranging from spare to thick. The current average canopy cover is at around 17% and is expected to increase with the observed increases in vegetation productivity and wildfire. These projected changes in forest density can alter the proportional contributions of over- and understory vegetation to whole ecosystem evapotranspiration. Low density boreal forests have much higher rates of understory evapotranspiration and can contribute as much as 80% to total ecosystem evapotranspiration, while the understory in high density forests is responsible for only around 15% of total ecosystem evapotranspiration. The objective of this research is to understand why there are changes in understory evapotranspiration with varying overstory density by looking at light levels, biomass, vegetation, and air and soil differences. To better learn about these differences in understory evapotranspiration in boreal larch forests the driving factors of evapotranspiration were measured within a burn scar with varying densities of high, medium, and low. Water fluxes were conducted using the static chamber technique under different environmental conditions. Furthermore, controlling factors of evapotranspiration such as photosynethically active radiation, vapor pressure deficit, soil moisture, moss cover, biomass, and leaf area index were measured or derived. In general, we found that low density areas have highest rates of evapotranspiration due to larger amount of biomass, and increased access to light, despite low levels of soil moisture. These results can help us understand how and why total ecosystem water exchange will change in boreal larch forests

  17. Acoustic dose-behavioral response relationship in sea bass (Dicentrarchus labrax) exposed to playbacks of pile driving sounds

    NARCIS (Netherlands)

    Kastelein, Ronald A.; Jennings, Nancy; Kommeren, Aimée; Helder-Hoek, Lean; Schop, Jessica

    2017-01-01

    The foundations of offshore wind turbines are attached to the sea bed by percussion pile driving. Pile driving sounds may affect the behavior of fish. Acoustic dose-behavioral response relationships were determined for sea bass in a pool exposed for 20 min to pile driving sounds at seven mean

  18. Driving Behavior and mileage with the Incidence of ISPA in Students UNAIR Surabaya

    Directory of Open Access Journals (Sweden)

    Rezkha Mala Ludyaningrum

    2017-01-01

    Full Text Available Productive lifes short by health problems cause inhaling dirty air generate from motor vehicle exhaust emissions. Transport activities generate air pollutants that lead to the onset of disease Acute Respiratory Infection (ARI. The purpose of this study is to analyze the relationship between driving behavior and mileage with ARI at Airlangga University students. This research was an observational analytic study and case control design. The sample size in this study was 44 people for each group of cases and controls with systematic random sampling technique. To determine the relationship and odd ratio, the study used statistical Chi Square test. The results showed that there was a relationship between driving behavior consists of the used of PPE (p = 0.008, speed drive (p = 0.001, and the distance (p = 0.001 with ARI. Respondents who never wore PPE might increase that risk of acute respiratory infection 2.6 times compared with respondents who always wear PPE. Driving speed of 60 km/hours. Mileage ≥5 km had 5.156 times the risk of acute respiratory infection compared with respondents mileage <5km. It was concluded that driving behavior and mileage associated with ARI. It is recommended that officers PLK Airlangga University type C provide brochures, free masks, and held a car free day to students with the aim of reducing the incidence of ARI. Keywords: Driving Behavior, Mileage, and ARI

  19. Effects of high power illuminators on vision through windscreens and driving behavior

    Science.gov (United States)

    Toet, Alexander; Alferdinck, Johan W. A. M.

    2013-10-01

    In this study we investigated the effectiveness of high power illuminators that are intended to be used as warning devices or non-lethal weapons to deny car drivers their view on the outside world through windscreens. The test is based on a measurement of the amount of veiling glare resulting when a high intensity light source hits a windscreen. We measured the veiling glare for new, used and colored windscreens that were either clean or dirty. We found no significant difference between the scatter function for new, used and colored windows. The scatter function for dirty windscreens is a factor 14 larger than for clean windscreens. We also derived a method to assess the impact of the illumination of a windscreen by a high intensity light source on driving behavior. The method is based on the assumption that drivers reduce their speed when veiling glare reduces the detection distance of objects on the road. Estimates of respectively the detection distance for objects on the road and the maximum safe driving speed are directly related to operational requirements, and can therefore be used to assess the operational effectiveness of high intensity light sources as powerful warning devices or non-lethal weapons.

  20. Revealing driving factors of China's PM2.5 pollution

    Science.gov (United States)

    Zheng, Y.; Zhao, H.; Zhang, Q.; Geng, G.; Tong, D.; Peng, L.; He, K.

    2017-12-01

    China's rapid economic development and intensive energy consumption are deteriorating the air quality significantly. Understanding the key driving factors behind China's growing emissions of air pollutants and the accompanying PM2.5 pollution is critical for the development of China's clean air policies and also provides insight into how other emerging economies may develop a clear sky future. Here we reveal the socioeconomic drivers of the variations of China's PM2.5 concentrations during 2002-2012 by using an interdisciplinary framework that integrates an emission inventory model, an index decomposition analysis model, and a regional air quality model. The decomposition results demostrate that the improvements in emission efficiency and energy efficiency failed to offset the increased emissions of both primary PM2.5 and gaseous PM2.5 precursors (including SO2 NOx, and volatile organic compounds) triggered by the surging economic growth during 2002-2012. During the same time, the effects of energy structure, production structure and population growth were relatively less significant to all pollutants, which indicates the potential of large emission abatements through energy structure and production structure adjustment. Sensitivity simulations by the air quality model based on the provincial decomposition results also show that the economic growth have outpaced efficiency improvements in the increments of PM2.5 concentrations during the study years. As China continues to develop rapidly, future policies should promote further improvements in efficiency and accelerate the adjustments toward clean energy and production structures, which are critical for reducing China's emissions and alleviating the severe PM2.5 pollution.

  1. What Factors Drive Inpatient Satisfaction After Knee Arthroplasty?

    Science.gov (United States)

    Peres-da-Silva, Ashwin; Kleeman, Lindsay T; Wellman, Samuel S; Green, Cynthia L; Attarian, David E; Bolognesi, Michael P; Seyler, Thorsten M

    2017-06-01

    The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, developed by the Centers for Medicare & Medicaid Services, is directly tied to hospital reimbursement. The purpose of this study is to analyze survey responses from patients who underwent primary knee arthroplasty in order to identify factors that drive patient dissatisfaction in the inpatient setting. HCAHPS responses received from patients undergoing elective total and unicompartmental knee arthroplasty at our institution between January 1, 2013 and January 1, 2016 were obtained and expressed as a percentage of overall satisfaction. Satisfaction scores were correlated to patient demographics. Overall, responses from 580 patients were obtained (554 total knee arthroplasties, 26 unicompartmental knee arthroplasties). There was a statistically significant difference in overall satisfaction when comparing sex (P = .034), race (P = .030), and socioeconomic status (P = .001). Men reported a higher average satisfaction score than women (77.8% vs 74.2%). Patients in the 1st quartile of socioeconomic status reported a higher average satisfaction than those in the 4th quartile (81.3% vs 71.3%). African American patients reported a higher satisfaction than Caucasian and other races (81.6% vs 75.3% vs 66.3%, respectively). There was an inverse relationship between increased length of stay and reported satisfaction (r = -0.113, P = .006). Our data indicate that patients who are likely to report higher levels of inpatient satisfaction after knee arthroplasty are male, African American, of lower socioeconomic status, and with shorter length of stay. To our knowledge, this is the first reported analysis of the HCAHPS survey in relation to total joint arthroplasty. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. A Multi-Method Approach to Understanding Behavior Change. The Case of Texting and Driving

    Directory of Open Access Journals (Sweden)

    Karen M. HOOD

    2017-12-01

    Full Text Available Distracted driving, specifically texting and driving, has become a nationwide public health problem in the U.S. with negative, and potentially fatal consequences. In an effort to combat the growing problem, non-profit organizations, corporations, and the federal government have all stepped in to try to increase public awareness and persuade drivers to cease texting while driving. These efforts have not had the desired impact as texting and driving has continued to increase in recent years. This research investigates the potential that the messages used to curb texting and driving behavior might not be properly constructed. Specifically, we test the potential for message sponsor and self-relevance of the message to influence message outcomes. Our results suggest that messages sponsored by a combination of company and government that are self-relevant to viewers will have different outcomes than other messages. We identify practical and theoretical implications as well as future research directions.

  3. A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors.

    Science.gov (United States)

    Wu, Minglin; Zhang, Sheng; Dong, Yuhan

    2016-10-20

    In this article, a novel driving behavior recognition system based on a specific physical model and motion sensory data is developed to promote traffic safety. Based on the theory of rigid body kinematics, we build a specific physical model to reveal the data change rule during the vehicle moving process. In this work, we adopt a nine-axis motion sensor including a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer, and apply a Kalman filter for noise elimination and an adaptive time window for data extraction. Based on the feature extraction guided by the built physical model, various classifiers are accomplished to recognize different driving behaviors. Leveraging the system, normal driving behaviors (such as accelerating, braking, lane changing and turning with caution) and aggressive driving behaviors (such as accelerating, braking, lane changing and turning with a sudden) can be classified with a high accuracy of 93.25%. Compared with traditional driving behavior recognition methods using machine learning only, the proposed system possesses a solid theoretical basis, performs better and has good prospects.

  4. A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

    Directory of Open Access Journals (Sweden)

    Minglin Wu

    2016-10-01

    Full Text Available In this article, a novel driving behavior recognition system based on a specific physical model and motion sensory data is developed to promote traffic safety. Based on the theory of rigid body kinematics, we build a specific physical model to reveal the data change rule during the vehicle moving process. In this work, we adopt a nine-axis motion sensor including a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer, and apply a Kalman filter for noise elimination and an adaptive time window for data extraction. Based on the feature extraction guided by the built physical model, various classifiers are accomplished to recognize different driving behaviors. Leveraging the system, normal driving behaviors (such as accelerating, braking, lane changing and turning with caution and aggressive driving behaviors (such as accelerating, braking, lane changing and turning with a sudden can be classified with a high accuracy of 93.25%. Compared with traditional driving behavior recognition methods using machine learning only, the proposed system possesses a solid theoretical basis, performs better and has good prospects.

  5. A Refined Numerical Simulation on Dynamic Behavior of Roller Chain Drives

    Directory of Open Access Journals (Sweden)

    H. Zheng

    2004-01-01

    Full Text Available A refined numerical analysis of the dynamic behavior of roller chain drives is performed considering the roller assembly as a three-layer structure with mechanical clearance between each two of the mechanical components. Instead of using analytical method, explicit finite element technique is utilized for modeling and simulating the dynamic behavior of chain drives. The complete standard geometry of sprockets and all components of chain links are used in the developed model with minor geometry simplification. A primary goal is to achieve a more complete understanding of the dynamic behavior of chain drives especially in the transient vibration response of the engaging rollers, which is crucial for noise emission calculation. The simulated velocity response of the engaging rollers and roller-sprocket contact forces achieved using the full model are compared with what found by the simple model which has been adopted in analytical study of chain roller dynamics.

  6. Effects of the Contextual Variables of Racing Games on Risky Driving Behavior.

    Science.gov (United States)

    Deng, Mingming; Chan, Alan H S; Wu, Feng; Liu, Shulin

    2017-08-01

    This research conducted experimental studies to investigate the effects of the contextual variables of racing games on risky driving behavior. Three experiments were conducted. In Experiment 1, the effect of racing game violence on the driving-related risk-taking inclination of racing game players was examined. Experiment 2 investigated the impact of the competitiveness of racing games on risk-taking inclination, and Experiment 3 investigated the impact of the rewarded/punitive characteristics of racing games on the risk-taking inclination of racing game players. The Vienna Risk-Taking Test was used to measure risk-taking inclination of participants. The game violence, competitiveness, and the reward characteristics of racing games, all had significant impacts in increasing risky driving behavior. The punitive characteristics of racing games had a significant effect, which decreases risky driving behavior. The contextual variables of game violence, competitiveness, and rewarded/punitive characteristics of racing games investigated in this study were all shown to influence the risk-taking inclination of game players, which increased risky driving behavior. This study provides a useful reference for the classification and graded management of racing games.

  7. Poor mental health status and aggression are associated with poor driving behavior among male traffic offenders

    Directory of Open Access Journals (Sweden)

    Abdoli N

    2015-08-01

    Full Text Available Nasrin Abdoli,1,2 Vahid Farnia,3 Ali Delavar,4 Alirez Esmaeili,5 Fariborz Dortaj,4 Noorali Farrokhi,4 Majid Karami,6 Jalal Shakeri,3 Edith Holsboer-Trachsler,7 Serge Brand7,8 1International University of Imam Reza, Mashhad, 2Kermanshah University of Medical Sciences, Kermanshah, 3Substance Abuse Prevention Research Center, Psychiatry Department, Kermanshah University of Medical Sciences, Kermanshah, 4Allameh Tabataba’i University, Tehran, 5Police University, Tehran, 6Baharestan Research Center, Kermanshah Transportation Terminal, Kermanshah, Iran, 7Center for Affective, Stress and Sleep Disorders, Psychiatric Clinics of the University of Basel, Basel, 8Department of Sport and Health Science, Sport Science Section, University of Basel, Basel, Switzerland Background: In Iran, traffic accidents and deaths from traffic accidents are among the highest in the world, and generally driver behavior rather than either technical failures or environmental conditions are responsible for traffic accidents. In the present study, we explored the extent to which aggressive traits, health status, and sociodemographic variables explain driving behavior among Iranian male traffic offenders. Method: A total of 443 male driving offenders (mean age: M =31.40 years, standard deviation =9.56 from Kermanshah (Iran took part in the study. Participants completed a questionnaire booklet covering sociodemographic variables, traits of aggression, health status, and driving behavior. Results: Poor health status, such as symptoms of depression, anxiety, insomnia, and social dysfunction, and also higher levels of trait aggression explained poor driving behavior. Multiple regressions indicated that poor health status, but not aggression, independently predicted poor driving behavior. Conclusion: Results suggest that health status concerns are associated with poor driving behavior. Prevention and intervention might therefore focus on drivers reporting poor mental health status

  8. Adaptive vocal behavior drives perception by echolocation in bats

    DEFF Research Database (Denmark)

    Moss, Cynthia F; Chiu, Chen; Surlykke, Annemarie

    2011-01-01

    Echolocation operates through adaptive sensorimotor systems that collectively enable the bat to localize and track sonar objects as it flies. The features of sonar signals used by a bat to probe its surroundings determine the information available to its acoustic imaging system. In turn, the bat......'s perception of a complex scene guides its active adjustments in the features of subsequent sonar vocalizations. Here, we propose that the bat's active vocal-motor behaviors play directly into its representation of a dynamic auditory scene....

  9. Adaptive vocal behavior drives perception by echolocation in bats.

    Science.gov (United States)

    Moss, Cynthia F; Chiu, Chen; Surlykke, Annemarie

    2011-08-01

    Echolocation operates through adaptive sensorimotor systems that collectively enable the bat to localize and track sonar objects as it flies. The features of sonar signals used by a bat to probe its surroundings determine the information available to its acoustic imaging system. In turn, the bat's perception of a complex scene guides its active adjustments in the features of subsequent sonar vocalizations. Here, we propose that the bat's active vocal-motor behaviors play directly into its representation of a dynamic auditory scene. Copyright © 2011 Elsevier Ltd. All rights reserved.

  10. How Am I Driving? Using Genetic Programming to Generate Scoring Functions for Urban Driving Behavior

    Directory of Open Access Journals (Sweden)

    Roberto López

    2018-04-01

    Full Text Available Road traffic injuries are a serious concern in emerging economies. Their death toll and economic impact are shocking, with 9 out of 10 deaths occurring in low or middle-income countries; and road traffic crashes representing 3% of their gross domestic product. One way to mitigate these issues is to develop technology to effectively assist the driver, perhaps making him more aware about how her (his decisions influence safety. Following this idea, in this paper we evaluate computational models that can score the behavior of a driver based on a risky-safety scale. Potential applications of these models include car rental agencies, insurance companies or transportation service providers. In a previous work, we showed that Genetic Programming (GP was a successful methodology to evolve mathematical functions with the ability to learn how people subjectively score a road trip. The input to this model was a vector of frequencies of risky maneuvers, which were supposed to be detected in a sensor layer. Moreover, GP was shown, even with statistical significance, to be better than six other Machine Learning strategies, including Neural Networks, Support Vector Regression and a Fuzzy Inference system, among others. A pending task, since then, was to evaluate if a more detailed comparison of different strategies based on GP could improve upon the best GP model. In this work, we evaluate, side by side, scoring functions evolved by three different variants of GP. In the end, the results suggest that two of these strategies are very competitive in terms of accuracy and simplicity, both generating models that could be implemented in current technology that seeks to assist the driver in real-world scenarios.

  11. Feature Integration Drives Probabilistic Behavior in the Drosophila Escape Response.

    Science.gov (United States)

    von Reyn, Catherine R; Nern, Aljoscha; Williamson, W Ryan; Breads, Patrick; Wu, Ming; Namiki, Shigehiro; Card, Gwyneth M

    2017-06-21

    Animals rely on dedicated sensory circuits to extract and encode environmental features. How individual neurons integrate and translate these features into behavioral responses remains a major question. Here, we identify a visual projection neuron type that conveys predator approach information to the Drosophila giant fiber (GF) escape circuit. Genetic removal of this input during looming stimuli reveals that it encodes angular expansion velocity, whereas other input cell type(s) encode angular size. Motor program selection and timing emerge from linear integration of these two features within the GF. Linear integration improves size detection invariance over prior models and appropriately biases motor selection to rapid, GF-mediated escapes during fast looms. Our findings suggest feature integration, and motor control may occur as simultaneous operations within the same neuron and establish the Drosophila escape circuit as a model system in which these computations may be further dissected at the circuit level. VIDEO ABSTRACT. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. On the Drive Specificity of Freudian Drives for the Generation of SEEKING Activities: The Importance of the Underestimated Imperative Motor Factor

    Directory of Open Access Journals (Sweden)

    Michael Kirsch

    2018-05-01

    Full Text Available Doubters of Freud’s theory of drives frequently mentioned that his approach is outdated and therefore cannot be useful for solving current problems in patients with mental disorders. At present, many scientists believe that affects rather than drives are of utmost importance for the emotional life and the theoretical framework of affective neuroscience, developed by Panksepp, strongly underpinned this view. Panksepp evaluated seven so-called command systems and the SEEKING system is therein of central importance. Panksepp used Pankseppian drives as inputs for the SEEKING system but noted the missing explanation of drive-specific generation of SEEKING activities in his description. Drive specificity requires dual action of the drive: the activation of a drive-specific brain area and the release of the neurotransmitter dopamine. Noticeably, as Freud claimed drive specificity too, it was here analyzed whether a Freudian drive can evoke the generation of drive-specific SEEKING activities. Special importance was addressed to the imperative motor factor in Freud’s drive theory because Panksepp’s formulations focused on neural pathways without specifying underlying neurotransmitter/endocrine factors impelling motor activity. As Panksepp claimed sleep as a Pankseppian drive, we firstly had to classified sleep as a Freudian drive by using three evaluated criteria for a Freudian drive. After that it was possible to identify the imperative motor factors of hunger, thirst, sex, and sleep. Most importantly, all of these imperative motor factors can both activate a drive-specific brain area and release dopamine from dopaminergic neurons, i.e., they can achieve the so-called drive specificity. Surprisingly, an impaired Freudian drive can alter via endocrinological pathways the concentration of the imperative motor factor of a second Freudian drive, obviously in some independence to the level of the metabolic deficit, thereby offering the possibility to

  13. CDC Behavioral Risk Factor Surveillance System (BRFSS)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive...

  14. Behavioral Impact of Graduated Driver Licensing on Teenage Driving Risk and Exposure1

    Science.gov (United States)

    Karaca-Mandic, Pinar; Ridgeway, Greg

    2009-01-01

    Graduated Driver Licensing (GDL) is a critical policy tool for potentially improving teenage driving while reducing teen accident exposure. While previous studies demonstrated that GDL reduces teenage involvement in fatal crashes, much remains unanswered. We explore the mechanisms through which GDL influences accident rates as well as its long term effectiveness on teen driving. In particular, we investigate; 1) whether GDL policies improve teenage driving behavior, or simply reduce teenage prevalence on the roads; 2) whether GDL exposed teens become better drivers in later years. We employ a unique data source, the State Data System, which contains all police reported accidents (fatal and non-fatal) during 1990–2005 for twelve states. We estimate a structural model that separately identifies GDL s effect on relative teenage prevalence and relative teenage riskiness. Identification of the model is driven by the relative numbers of crashes between two teenagers, two adults, or a teenager and an adult. We find that the GDL policies reduce the number of 15–17 year-old accidents by limiting the amount of teenage driving rather than by improving teenage driving. This prevalence reduction primarily occurs at night and stricter GDL policies, especially those with nighttime driving restrictions, are the most effective. Finally, we find that teen driving quality does not improve ex-post GDL exposure. PMID:19942310

  15. CROSS-STUDY RESEARCH ON UTILITY AND VALIDITY OF DRIVING SIMULATOR FOR DRIVER BEHAVIOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Michal Matowicki

    2017-12-01

    Full Text Available Driving is one of the most ordinary and universal everyday tasks and, at the same time, one of the most complex and dangerous. It requires a full range of sensory, perceptual, cognitive, and motor functions, all of which can be affected by a wide range of stressors and experience levels. Therefore, exploring of human behaviour while controlling a vehicle is a crucial task in improving traffic safety. Experimental studies can always be conducted with on-road tests, however, using a simulator is safer and more cost-effective. The main goal of this paper is to demonstrate if and under what conditions could a driving simulator provide sufficient results required for a proper study of driver behavior. It discusses its limits and advantages. Overall, the research reviewed in this paper indicates that simulator driving behaviour approximates (relative validity of speed and lateral position of vehicle on road, but does not exactly replicate (absolute validity, on-road driving behaviour.

  16. Elasticity of population growth with respect to the intensity of biotic or abiotic driving factors.

    Science.gov (United States)

    Lee, Charlotte T

    2017-04-01

    Demographic analysis can elucidate how driving factors, such as climate or species interactions, affect populations. One important question is how growth would respond to future changes in the mean intensity of a driving factor or in its variability, such as might be expected in a fluctuating and shifting climate. Here I develop an approach to computing new stochastic elasticities to address this question. The linchpin of this novel approach is the multidimensional demographic difference that expresses how a population responds to change in the driving factor between two discrete levels of intensity. I use this difference to design a perturbation matrix that links data from common empirical sampling schemes with rigorous theory for stochastic elasticities. Although the starting point is a difference, the products of this synthesis are true derivatives: they are elasticity with respect to the mean intensity of a driving factor, and elasticity with respect to variability in a driving factor. Applying the methods to published data, I demonstrate how these new elasticities can shed light on growth rate response within and at the boundary of the previously observed range of the driving factor, thus helpfully indicating nonlinearity in the observed and in the potential future response. The stochastic approach simplifies in a fixed environment, yielding a compact formula for deterministic elasticity to a driving factor. © 2017 by the Ecological Society of America.

  17. Associations between parenting styles and teen driving, safety-related behaviors and attitudes.

    Science.gov (United States)

    Ginsburg, Kenneth R; Durbin, Dennis R; García-España, J Felipe; Kalicka, Ewa A; Winston, Flaura K

    2009-10-01

    The goal was to explore the association between parenting style and driving behaviors. The 2006 National Young Driver Survey gathered data on driving safety behaviors from a nationally representative sample of 5665 ninth-, 10th-, and 11th-graders. A parenting style variable was based on adolescent reports and separated parents into 4 groups, (1) authoritative (high support and high rules/monitoring), (2) authoritarian (low support and high rules/monitoring), (3) permissive (high support and low rules/monitoring), and (4) uninvolved (low support and low rules/monitoring). Associations between parenting style and driving behaviors and attitudes were assessed. One half of parents were described as authoritative, 23% as permissive, 8% as authoritarian, and 19% as uninvolved. Compared with teens with uninvolved parents, those with authoritative parents reported one half the crash risk in the past year (odds ratio [OR]: 0.47 [95% confidence interval [CI]: 0.26-0.87]), were 71% less likely to drive when intoxicated (OR: 0.29 [95% CI: 0.19-0.44]), and were less likely to use a cellular telephone while driving (OR: 0.71 [95% CI: 0.50-0.99]). Teens with authoritative or authoritarian parents reported using seat belts nearly twice as often (authoritative: OR: 1.94 [95% CI: 1.49 -2.54]; authoritarian: OR: 1.85 [95% CI: 1.08 -3.18]) and speeding one half as often (authoritative: OR: 0.47 [95% CI: 0.36-0.61]; authoritarian: OR: 0.63 [95% CI: 0.40-0.99]) as teens with uninvolved parents. No significant differences in crash risk or seat belt use were found between permissive and uninvolved parents. Clinicians should encourage parents to set rules and to monitor teens' driving behaviors, in a supportive context.

  18. Validity and Usability of a Safe Driving Behavior Measure for Older Adults : [Summary

    Science.gov (United States)

    2012-01-01

    Florida leads the U.S. in number of people over : 65, now 18%, rising to 27% by 2030. Also likely to : rise are crashes involving over-65 drivers. Most : older adults modify their driving behaviors in : response to age-related changes; however, at-ri...

  19. The prevalence and correlates of risky driving behavior among National Guard soldiers.

    Science.gov (United States)

    Hoggatt, Katherine J; Prescott, Marta R; Goldmann, Emily; Tamburrino, Marijo; Calabrese, Joseph R; Liberzon, Israel; Galea, Sandro

    2015-01-01

    Previous studies have reported that risky driving is associated with deployment and combat exposure in military populations, but there is limited research on risky driving among soldiers in the National Guard and Reserves, a group increasingly deployed to active international conflicts. The goal of this analysis was to assess the prevalence of risky driving and its demographic, mental health, and deployment-related correlates among members of the Ohio Army National Guard (OHARNG). The study group comprised 2,616 eligible OHARNG soldiers enlisted as of June 2008, or who enlisted between June 2008 and February 2009. The main outcome of interest was the prevalence of risky driving behavior assessed using six questions: "How often do you use seat belts when you drive or ride in a car?"; "In the past 30 days, how many times have you driven when you've had perhaps too much to drink?"; "In the past year, have you ever become impatient with a slow driver in the fast lane and passed them on the right?"; "In the past year have you crossed an intersection knowing that the traffic lights have already changed from yellow to red?"; "In the past year have you disregarded speed limits late at night or early in the morning?"; and "In the past year have you underestimated the speed of an oncoming vehicle when attempting to pass a vehicle in your own lane?" We fit multiple logistic regression models and derived the adjusted prevalence of risky driving behavior for soldiers with mental health conditions, deployment experience, exposure to combat or trauma, and psychosocial stressors or supports. The prevalence of risky driving was higher in soldiers with a history of mental health conditions, deployment to a conflict area, deployment-related traumatic events, and combat or post-combat stressors. In contrast, the prevalence of risky driving was lower for soldiers who reported high levels of psychosocial support. Efforts to mitigate risky driving in military populations may be more

  20. An extended heterogeneous car-following model accounting for anticipation driving behavior and mixed maximum speeds

    Science.gov (United States)

    Sun, Fengxin; Wang, Jufeng; Cheng, Rongjun; Ge, Hongxia

    2018-02-01

    The optimal driving speeds of the different vehicles may be different for the same headway. In the optimal velocity function of the optimal velocity (OV) model, the maximum speed vmax is an important parameter determining the optimal driving speed. A vehicle with higher maximum speed is more willing to drive faster than that with lower maximum speed in similar situation. By incorporating the anticipation driving behavior of relative velocity and mixed maximum speeds of different percentages into optimal velocity function, an extended heterogeneous car-following model is presented in this paper. The analytical linear stable condition for this extended heterogeneous traffic model is obtained by using linear stability theory. Numerical simulations are carried out to explore the complex phenomenon resulted from the cooperation between anticipation driving behavior and heterogeneous maximum speeds in the optimal velocity function. The analytical and numerical results all demonstrate that strengthening driver's anticipation effect can improve the stability of heterogeneous traffic flow, and increasing the lowest value in the mixed maximum speeds will result in more instability, but increasing the value or proportion of the part already having higher maximum speed will cause different stabilities at high or low traffic densities.

  1. Methods for automated identification of informative behaviors in natural bioptic driving.

    Science.gov (United States)

    Luo, Gang; Peli, Eli

    2012-06-01

    Visually impaired people may legally drive if wearing bioptic telescopes in some developed countries. To address the controversial safety issue of the practice, we have developed a low-cost in-car recording system that can be installed in study participants' own vehicles to record their daily driving activities. We also developed a set of automated identification techniques of informative behaviors to facilitate efficient manual review of important segments submerged in the vast amount of uncontrolled data. Here, we present the methods and quantitative results of the detection performance for six types of driving maneuvers and behaviors that are important for bioptic driving: bioptic telescope use, turns, curves, intersections, weaving, and rapid stops. The testing data were collected from one normally sighted and two visually impaired subjects across multiple days. The detection rates ranged from 82% up to 100%, and the false discovery rates ranged from 0% to 13%. In addition, two human observers were able to interpret about 80% of targets viewed through the telescope. These results indicate that with appropriate data processing the low-cost system is able to provide reliable data for natural bioptic driving studies.

  2. Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

    International Nuclear Information System (INIS)

    Li, Liang; You, Sixiong; Yang, Chao; Yan, Bingjie; Song, Jian; Chen, Zheng

    2016-01-01

    Highlights: • The novel approximated global optimal energy management strategy has been proposed for hybrid powertrains. • Eight typical driving behaviors have been classified with K-means to deal with the multiplicative traffic conditions. • The stochastic driver models of different driving behaviors were established based on the Markov chains. • ECMS was used to modify the SMPC-based energy management strategy to improve its fuel economy. • The approximated global optimal energy management strategy for plug-in hybrid electric buses has been verified and analyzed. - Abstract: Driving cycles of a city bus is statistically characterized by some repetitive features, which makes the predictive energy management strategy very desirable to obtain approximate optimal fuel economy of a plug-in hybrid electric bus. But dealing with the complicated traffic conditions and finding an approximated global optimal strategy which is applicable to the plug-in hybrid electric bus still remains a challenging technique. To solve this problem, a novel driving-behavior-aware modified stochastic model predictive control method is proposed for the plug-in hybrid electric bus. Firstly, the K-means is employed to classify driving behaviors, and the driver models based on Markov chains is obtained under different kinds of driving behaviors. While the obtained driver behaviors are regarded as stochastic disturbance inputs, the local minimum fuel consumption might be obtained with a traditional stochastic model predictive control at each step, taking tracking the reference battery state of charge trajectory into consideration in the finite predictive horizons. However, this technique is still accompanied by some working points with reduced/worsened fuel economy. Thus, the stochastic model predictive control is modified with the equivalent consumption minimization strategy to eliminate these undesirable working points. The results in real-world city bus routines show that the

  3. Behavioral responses of a harbor porpoise (Phocoena phocoena) to playbacks of broadband pile driving sounds.

    Science.gov (United States)

    Kastelein, Ronald A; van Heerden, Dorianne; Gransier, Robin; Hoek, Lean

    2013-12-01

    The high under-water sound pressure levels (SPLs) produced during pile driving to build offshore wind turbines may affect harbor porpoises. To estimate the discomfort threshold of pile driving sounds, a porpoise in a quiet pool was exposed to playbacks (46 strikes/min) at five SPLs (6 dB steps: 130-154 dB re 1 μPa). The spectrum of the impulsive sound resembled the spectrum of pile driving sound at tens of kilometers from the pile driving location in shallow water such as that found in the North Sea. The animal's behavior during test and baseline periods was compared. At and above a received broadband SPL of 136 dB re 1 μPa [zero-peak sound pressure level: 151 dB re 1 μPa; t90: 126 ms; sound exposure level of a single strike (SELss): 127 dB re 1 μPa(2) s] the porpoise's respiration rate increased in response to the pile driving sounds. At higher levels, he also jumped out of the water more often. Wild porpoises are expected to move tens of kilometers away from offshore pile driving locations; response distances will vary with context, the sounds' source level, parameters influencing sound propagation, and background noise levels. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Risk Factors for Smoking Behaviors among Adolescents

    Science.gov (United States)

    Chung, Sung Suk; Joung, Kyoung Hwa

    2014-01-01

    Many students in Korea begin to use tobacco and develop a regular smoking habit before they reach adulthood. Yet, little is known about various signs contributing to the transition of the student smoking behaviors. This study used a national sample to explore and compare risk factors for smoking behaviors. Three types of smoking behaviors were…

  5. Virtual driving and risk taking: do racing games increase risk-taking cognitions, affect, and behaviors?

    Science.gov (United States)

    Fischer, Peter; Kubitzki, Jörg; Guter, Stephanie; Frey, Dieter

    2007-03-01

    Research has consistently shown that aggressive video console and PC games elicit aggressive cognitions, affect, and behaviors. Despite the increasing popularity of racing (driving) games, nothing is known about the psychological impact of this genre. This study investigated whether playing racing games affects cognitions, affect, and behaviors that can promote risk taking in actual road traffic situations. In Study 1, the authors found that the frequency of playing racing games was positively associated with competitive driving, obtrusive driving, and car accidents; a negative association with cautious driving was observed. To determine cause and effect, in Study 2, the authors manipulated whether participants played 1 of 3 racing games or 1 of 3 neutral games. Participants who played a racing game subsequently reported a higher accessibility of cognitions and affect positively associated with risk taking than did participants who played a neutral game. Finally, on a more behavioral level, in Study 3, the authors found that men who played a racing game subsequently took higher risks in computer-simulated critical road traffic situations than did men who played a neutral game. Theoretical and practical implications are discussed. ((c) 2007 APA, all rights reserved).

  6. Analyzing Operating Behavior of Hot Mill Table Roll Drives using Statistical Methods for Current Values

    Science.gov (United States)

    Kabakov, P. Z.; Kozhevnikov, A. V.; Ilatovsky, I. S.

    2017-12-01

    The article briefly describes failures of table rolls in Hot Rolling Mill 2000, PAO Severstal, and provides research results obtained by applying statistical methods. The statistical analysis showed a possibility of detecting deviations in roll behavior based on electric drive current changes, which cause failures. The statistical data analysis was employed to define roll critical behavior, which is to be checked using additional data. For this purpose, the research will be continued, roll operating behavior will be studied during the entire lifetime with due regard for deviations detected, comprehensive statistical analysis will be carried out, influence of rolling mill practices and roll failure predictability will be assessed.

  7. Taxi drivers' views on risky driving behavior in Tehran: a qualitative study using a social marketing approach.

    Science.gov (United States)

    Shams, Mohsen; Shojaeizadeh, Davoud; Majdzadeh, Reza; Rashidian, Arash; Montazeri, Ali

    2011-05-01

    The use of the social marketing approach for public health issues is increasing. This approach uses marketing concepts borrowed from the principles of commercial marketing to promote beneficial health behaviors. In this qualitative study, four focus groups involving 42 participants were used in consumer research to explore taxi drivers' views on the driving situation and the determinants of risky driving behaviors in Tehran, as well as to gather their ideas for developing a social marketing program to reduce risky driving behaviors among taxi drivers in Tehran, Iran. Participants were asked to respond to questions that would guide the development of a marketing mix, or four Ps (product, price, place and promotion). The discussions determined that the program product should involve avoiding risky driving behaviors through increased attention to driving. They pointed out that developing and communicating with a well-designed persuasive message meant to draw their attention to driving could affect their driving behaviors. In addition, participants identified price, place and promotion strategies. They offered suggestions for marketing nonrisky driving to the target audience. The focus group discussions generated important insights into the values and the motivations that affect consumers' decisions to adopt the product. The focus group guided the development of a social marketing program to reduce risky driving behaviors in taxi drivers in Tehran, Iran. Copyright © 2010 Elsevier Ltd. All rights reserved.

  8. Effects of Input Power Factor Correction on Variable Speed Drive Systems

    OpenAIRE

    Lee, Shiyoung

    1999-01-01

    The use of variable speed drive (VSD) systems in the appliance industry is growing due to emerging high volume of fractional horsepower VSD applications. Almost all of the appliance VSDs have no input power factor correction (PFC) circuits. This results in harmonic pollution of the utility supply which could be avoided. The impact of the PFC circuit in the overall drive system efficiency, harmonic content, magnitude of the system input current and input power factor is particularly address...

  9. 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.

  10. An electric vehicle driving behavior model in the traffic system with a wireless charging lane

    Science.gov (United States)

    He, Jia; Huang, Hai-Jun; Yang, Hai; Tang, Tie-Qiao

    2017-09-01

    In this paper, a car-following model is proposed to study each EV's (electric vehicle) motion behavior near the WCL (wireless charging lane) and a lane-changing rule is designed to describe the EV's lane-changing behavior. Then, the car-following model and lane-changing rule are used to explore each EV's micro driving behavior in a two-lane system with a WCL. Finally, the impacts of the WCL on each EV's motion behavior are investigated. The numerical results show that each EV should run slowly on the WCL if it needs charge of electricity, that the EV's lane-changing behavior has great effects on the whole system, that the delay time caused by the WCL turns more prominent when the traffic turns heavy, and that lane-changing frequently occurs near the WCL (especially at the downstream of the WCL).

  11. HCG variants, the growth factors which drive human malignancies

    Science.gov (United States)

    Cole, Laurence A

    2012-01-01

    The term human chorionic gonadotropin (hCG) refers to a group of 5 molecules, each sharing the common amino acid sequence but each differing in meric structure and carbohydrate side chain structure. The 5 molecules are each produced by separate cells and each having separate biological functions. hCG and sulfated hCG are hormones produced by placental syncytiotrophoblast cells and pituitary gonadotrope cells. Hyperglycosylated hCG is an autocrine produced by placental cytotrophoblast cells. Hyperglycosylated hCG drives malignancy in placental cancers, and in testicular and ovarian germ cell malignancies. hCGβ and hyperglycosylated hCGβ are autocrines produce by most advanced malignancies. These molecules, particularly the malignancy promoters are presented in this review on hCG and cancer. hCGβ and hyperglycosylated hCGβ are critical to the growth and invasion, or malignancy of most advanced cancers. In many ways, while hCG may appear like a nothing, a hormone associated with pregnancy, it is not, and may be at the center of cancer research. PMID:22206043

  12. Topographic changes and their driving factors after 2008 Wenchuan Earthquake

    Science.gov (United States)

    Li, C.; Wang, M.; Xie, J.; Liu, K.

    2017-12-01

    The Wenchuan Ms 8.0 Earthquake caused topographic change in the stricken areas because of the formation of numerous coseismic landslides. The emergence of new landslides and debris flows and movement of loose materials under the driving force of heavy rainfall could further shape the local topography. Dynamic topographic changes in mountainous areas stricken by major earthquakes have a strong linkage to the development and occurrence of secondary disasters. However, little attention has been paid to continuously monitoring mountain environment change after such earthquakes. A digital elevation model (DEM) is the main feature of the terrain surface, in our research, we extracted DEM in 2013 and 2015 of a typical mountainous area severely impacted by the 2008 Wenchuan earthquake from the ZY-3 stereo pair images with validation by field measurement. Combined with the elevation dataset in 2002 and 2010, we quantitatively assessed elevation changes in different years and qualitatively analyzed spatiotemporal variation of the terrain and mass movement across the study area. The results show that the earthquake stricken area experienced substantial elevation changes caused by seismic forces and subsequent rainfalls. Meanwhile, deposits after the earthquake are mainly accumulated on the river-channels and mountain ridges and deep gullies which increase the risk of other geo-hazards. And the heavy rainfalls after the earthquake have become the biggest driver of elevation reduction, which overwhelmed elevation increase during the major earthquake. Our study provided a better understanding of subsequent hazards and risks faced by residents and communities stricken by major earthquakes.

  13. FACTORS RELATED TO MOTORCYCLE ACCIDENT RISK BEHAVIOR AMONG UNIVERSITY STUDENTS IN NORTHEASTERN THAILAND.

    Science.gov (United States)

    Chumpawadee, Urai; Homchampa, Pissamai; Thongkrajai, Pramote; Suwanimitr, Amorn; Chadbunchachai, Witaya

    2015-07-01

    Young motorcycle drivers in Thailand are at high risk for road traffic accidents. We conducted this study to identify factors associated with motorcycle accident risk behavior (MARB). We studied 372 randomly selected university students aged 18-22 years (mean 20.2 years; women comprised 68.0% of our participants), who attend a government university in northeastern Thailand. Each student was asked to fill out a questionnaire asking about MARB and factors associated with this behavior. The respondents had an average of 6.2 years (SD+3.09) motorcycle driving experience, 72.3% had a motorcycle driver's license and 83.0% had accident insurance. The prevalence of self-reported motorcycle accident injuries was 42.7%. Their major MARB were using a telephone while driving (69.3%), speeding (45.4%), driving with more than one passenger (40.1%), drunk driving (22.1%), and not wearing a helmet (23.3%). Factors related to MARB were: gender, with men engaged in risky behavior more often than women (p motorcycle driving--drivers with > 5 years experience were more likely to engage in risky behavior (p < 0.05); and knowledge of safe driving, those with a greater knowledge of safe driving were more likely to drive safely (p < 0.001). Having a greater awareness of MARB was associated with lower risk of engaging in risky behavior (p < 0.001). Students who engaged in risky behavior were more likely to view it as normal behavior (p < 0.001) and less likely to have adequate self-control (p < 0.001). Our findings indicate a need to strengthen accident prevention programs for university students in northeastern Thailand.

  14. Factors Driving Learner Success in Online Professional Development

    Directory of Open Access Journals (Sweden)

    Phu Vu

    2014-07-01

    Full Text Available This study examined factors that contributed to the success of online learners in an online professional development course. Research instruments included an online survey and learners’ activity logs in an online professional development course for 512 in-service teachers. The findings showed that there were several factors affecting online learners’ success in online professional development. In addition, there were also significant differences between successful and unsuccessful online learners in terms of course login frequency and learning activities viewed.

  15. Experiments and simulation of thermal behaviors of the dual-drive servo feed system

    Science.gov (United States)

    Yang, Jun; Mei, Xuesong; Feng, Bin; Zhao, Liang; Ma, Chi; Shi, Hu

    2015-01-01

    The machine tool equipped with the dual-drive servo feed system could realize high feed speed as well as sharp precision. Currently, there is no report about the thermal behaviors of the dual-drive machine, and the current research of the thermal characteristics of machines mainly focuses on steady simulation. To explore the influence of thermal characterizations on the precision of a jib boring machine assembled dual-drive feed system, the thermal equilibrium tests and the research on thermal-mechanical transient behaviors are carried out. A laser interferometer, infrared thermography and a temperature-displacement acquisition system are applied to measure the temperature distribution and thermal deformation at different feed speeds. Subsequently, the finite element method (FEM) is used to analyze the transient thermal behaviors of the boring machine. The complex boundary conditions, such as heat sources and convective heat transfer coefficient, are calculated. Finally, transient variances in temperatures and deformations are compared with the measured values, and the errors between the measurement and the simulation of the temperature and the thermal error are 2 °C and 2.5 μm, respectively. The researching results demonstrate that the FEM model can predict the thermal error and temperature distribution very well under specified operating condition. Moreover, the uneven temperature gradient is due to the asynchronous dual-drive structure that results in thermal deformation. Additionally, the positioning accuracy decreases as the measured point became further away from the motor, and the thermal error and equilibrium period both increase with feed speeds. The research proposes a systematical method to measure and simulate the boring machine transient thermal behaviors.

  16. Effects of Lane Width, Lane Position and Edge Shoulder Width on Driving Behavior in Underground Urban Expressways: A Driving Simulator Study

    Directory of Open Access Journals (Sweden)

    Shuo Liu

    2016-10-01

    Full Text Available This study tested the effects of lane width, lane position and edge shoulder width on driving behavior for a three-lane underground urban expressway. A driving simulator was used with 24 volunteer test subjects. Five lane widths (2.85, 3.00, 3.25, 3.50, and 3.75 m and three shoulder widths (0.50, 0.75, and 1.00 m were studied. Driving speed, lane deviation and subjective perception of driving behavior were collected as performance measures. The results show that lane and shoulder width have significant effects on driving speed. Average driving speed increases from 60.01 km/h in the narrowest lane to 88.05 km/h in the widest lane. While both narrower lanes and shoulders result in reduced speed and lateral lane deviation, the effect of lane width is greater than that of shoulder width. When the lane and shoulder are narrow, drivers in the left or right lane tend to shy away from the tunnel wall, even encroaching into the neighboring middle lane. As the lane or shoulder gets wider, drivers tend to stay in the middle of the lane. An interesting finding is that although few participants acknowledged that lane position had any great bearing on their driving behaviors, the observed driving speed is statistically higher in the left lane than in the other two lanes when the lane width is narrow (in 2.85, 3 and 3.25 m lanes. These findings provided support for amending the current design specifications of urban underground roads, such as the relationship between design speed and lane width, speed limit, and combination form of lanes.

  17. Drivers' Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving.

    Science.gov (United States)

    Du, Mingbo; Mei, Tao; Liang, Huawei; Chen, Jiajia; Huang, Rulin; Zhao, Pan

    2016-01-15

    This paper describes a real-time motion planner based on the drivers' visual behavior-guided rapidly exploring random tree (RRT) approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers' visual search behavior in the framework of RRT motion planner. RRT is an incremental sampling-based method that is widely used to solve the robotic motion planning problems. However, RRT is often unreliable in a number of practical applications such as autonomous vehicles used for on-road driving because of the unnatural trajectory, useless sampling, and slow exploration. To address these problems, we present an interesting RRT algorithm that introduces an effective guided sampling strategy based on the drivers' visual search behavior on road and a continuous-curvature smooth method based on B-spline. The proposed algorithm is implemented on a real autonomous vehicle and verified against several different traffic scenarios. A large number of the experimental results demonstrate that our algorithm is feasible and efficient for on-road autonomous driving. Furthermore, the comparative test and statistical analyses illustrate that its excellent performance is superior to other previous algorithms.

  18. Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving

    Science.gov (United States)

    Du, Mingbo; Mei, Tao; Liang, Huawei; Chen, Jiajia; Huang, Rulin; Zhao, Pan

    2016-01-01

    This paper describes a real-time motion planner based on the drivers’ visual behavior-guided rapidly exploring random tree (RRT) approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers’ visual search behavior in the framework of RRT motion planner. RRT is an incremental sampling-based method that is widely used to solve the robotic motion planning problems. However, RRT is often unreliable in a number of practical applications such as autonomous vehicles used for on-road driving because of the unnatural trajectory, useless sampling, and slow exploration. To address these problems, we present an interesting RRT algorithm that introduces an effective guided sampling strategy based on the drivers’ visual search behavior on road and a continuous-curvature smooth method based on B-spline. The proposed algorithm is implemented on a real autonomous vehicle and verified against several different traffic scenarios. A large number of the experimental results demonstrate that our algorithm is feasible and efficient for on-road autonomous driving. Furthermore, the comparative test and statistical analyses illustrate that its excellent performance is superior to other previous algorithms. PMID:26784203

  19. Design of Driving Behavior Pattern Measurements Using Smartphone Global Positioning System Data

    Directory of Open Access Journals (Sweden)

    Xiaoyu Zhu

    2013-12-01

    Full Text Available The emergence of new technologies such as GPS, cellphone, Bluetooth device, etc. offers opportunities for collecting high-fidelity temporal-spatial travel data in a cost-effective manner. With the vehicle trajectory data achieved from a smartphone app Metropia, this study targets on exploring the trajectory data and designing the measurements of the driving pattern. Metropia is a recently available mobile traffic app that uses prediction and coordinating technology combined with user rewards to incentivize drivers to cooperate, balance traffic load on the network, and reduce traffic congestion. Speed and celeration (acceleration and deceleration are obtained from the Metropia platform directly and parameterized as individual and system measurements related to traffic, spatial and temporal conditions. A case study is provided in this paper to demonstrate the feasibility of this approach utilizing the trajectory data from the actual app usage. The driving behaviors at both individual and system levels are quantified from the microscopic speed and celeration records. The results from this study reveal distinct driving behavior pattern and shed lights for further opportunities to identify behavior characteristics beyond safety and environmental considerations.

  20. Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving

    Directory of Open Access Journals (Sweden)

    Mingbo Du

    2016-01-01

    Full Text Available This paper describes a real-time motion planner based on the drivers’ visual behavior-guided rapidly exploring random tree (RRT approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers’ visual search behavior in the framework of RRT motion planner. RRT is an incremental sampling-based method that is widely used to solve the robotic motion planning problems. However, RRT is often unreliable in a number of practical applications such as autonomous vehicles used for on-road driving because of the unnatural trajectory, useless sampling, and slow exploration. To address these problems, we present an interesting RRT algorithm that introduces an effective guided sampling strategy based on the drivers’ visual search behavior on road and a continuous-curvature smooth method based on B-spline. The proposed algorithm is implemented on a real autonomous vehicle and verified against several different traffic scenarios. A large number of the experimental results demonstrate that our algorithm is feasible and efficient for on-road autonomous driving. Furthermore, the comparative test and statistical analyses illustrate that its excellent performance is superior to other previous algorithms.

  1. Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

    Directory of Open Access Journals (Sweden)

    Wenshuo Wang

    2014-01-01

    Full Text Available In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems. A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/throttle pedal position and the steering wheel angle, among others. Subsequently, the driver’s characteristics derived from the driver model are embedded into the advanced driver assistance systems, and the evaluation and verification of vehicle systems based on the driver model are described.

  2. Factors driving the location investment decision of South African MNEs

    African Journals Online (AJOL)

    kirstam

    growth rate, level of competition and entry barriers, is another popular approach used in several research studies (Ball & McCulloch 1993; Cavusgil 1980; Daniels &. Radebaugh 1998; Koch 2001; Papadopoulus & Jansen 1994; Rahman 2003. Zhao and Decker (2005) showed that revenue-related factors such as market ...

  3. Key factors driving corporate social responsibility of Vietnamese firms

    NARCIS (Netherlands)

    Kabir, Mohammed Rezaul; Thai Minh, H.

    2016-01-01

    We examine the impact of firm, corporate governance and managerial characteristics on the corporate social responsibility (CSR) activities of Vietnamese listed firms. Our results show that export-oriented firms engage in more CSR activities. As for corporate governance factors, we observe that

  4. Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots

    Directory of Open Access Journals (Sweden)

    Andres Fuentes

    2014-10-01

    Full Text Available This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.

  5. Factors driving wind power development in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  6. Intentions and willingness to drive while drowsy among university students: An application of an extended theory of planned behavior model.

    Science.gov (United States)

    Lee, Clark J; Geiger-Brown, Jeanne; Beck, Kenneth H

    2016-08-01

    A web-based questionnaire was used to assess the utility of constructs from the Theory of Planned Behavior (TPB) and the Prototype Willingness Model (PWM) to predict intentions and willingness to engage in drowsy driving in a sample of 450 university students. Those students who reported more favorable attitudes and subjective norm and greater perceived control and willingness in relation to drowsy driving behavior were more likely to report stronger intentions to engage in drowsy driving behavior. Augmenting the TPB constructs with the PWM construct of willingness significantly explained up to an additional 8 percent of the variance in drowsy driving intention. Perceived behavioral control and willingness were consistently the strongest predictors of drowsy driving intention in the augmented model, which together with the control (personal) variables explained up to 70 percent of the variance in intention. Thus, the Theory of Planned Behavior and the Prototype Willingness Model may be useful for understanding motivational influences on drowsy driving behavior in young people and present promising theoretical frameworks for designing more effective interventions against drowsy driving in this population. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis

    International Nuclear Information System (INIS)

    Wang, Qunwei; Chiu, Yung-Ho; Chiu, Ching-Ren

    2015-01-01

    Research on the driving factors behind carbon dioxide emission changes in China can inform better carbon emission reduction policies and help develop a low-carbon economy. As one of important methods, production-theoretical decomposition analysis (PDA) has been widely used to understand these driving factors. To avoid the infeasibility issue in solving the linear programming, this study proposed a modified PDA approach to decompose carbon dioxide emission changes into seven drivers. Using 2005–2010 data, the study found that economic development was the largest factor of increasing carbon dioxide emissions. The second factor was energy structure (reflecting potential carbon), and the third factor was low energy efficiency. Technological advances, energy intensity reductions, and carbon dioxide emission efficiency improvements were the negative driving factors reducing carbon dioxide emission growth rates. Carbon dioxide emissions and driving factors varied significantly across east, central and west China. - Highlights: • A modified PDA used to decompose carbon dioxide emission changes into seven drivers. • Two models were proposed to ameliorate the infeasible occasions. • Economic development was the largest factor of increasing CO 2 emissions in China.

  8. Spatial and social factors drive anemia in Congolese women.

    Science.gov (United States)

    Messina, Jane P; Mwandagalirwa, Kashamuka; Taylor, Steve M; Emch, Michael; Meshnick, Steven R

    2013-11-01

    Anemia is common in women of child-bearing age in the Democratic Republic of the Congo (DRC). As part of the 2007 DRC Demographic and Health Survey (DHS), 4638 women of childbearing age (including 526 pregnant women) were tested for HIV and had the hemoglobin content of their blood recorded. We used the leftover dried blood spots to assess malaria prevalence using PCR assays. The DHS provided extensive information on individuals, as well as the geographic coordinates of household clusters which enabled us to derive several variables that characterize the spatial context of these clusters. Multilevel analyses were conducted to determine individual and contextual risk factors for anemia. Prevalence varied geographically; the odds of anemia were associated with both one's ethnic group and the amount and type of nearby agriculture. The odds were not affected by HIV or malaria status. Copyright © 2013 Elsevier Ltd. All rights reserved.

  9. Effects of different blood alcohol concentrations and post-alcohol impairment on driving behavior and task performance.

    Science.gov (United States)

    Liu, Yung-Ching; Ho, Chin Heng

    2010-08-01

    A study using simulator methodology was conducted to investigate the effects of (1) different blood alcohol concentrations (BAC) of 0, 0.05, 0.08, and 0.10 percent and (2) post-alcohol impairment (where BAC approximately 0%) on driving behavior and subsidiary cognitive task performance. Two driving sessions were investigated, that is, drunk driving and post-alcohol driving, with each requiring approximately 20 min of driving. In addition to driving safely, participants were instructed to perform the critical flicker fusion (CFF) test and completed the NASA-TLX mental workload questionnaire. Eight licensed drivers (6 males, 2 females) participated in this 2 (road complexities) x 2 (simulated driving sessions) x 4 (levels of BAC) within-subjects experiment. The study revealed that higher BAC levels were associated with lower performing driving behavior. The driver's mental workload reached the highest values in the post-alcohol session. In terms of tasks involving divided attention, the traffic sign distance estimation showed significant deterioration with increased BAC levels. The relationship between drunk-driving behavior and alcohol dosage was supported in this study. Noticeably, no significant difference was found between drunk driving and post-alcohol driving, indicating that even in the post-alcohol situation, the impairment still remained significant enough to jeopardize traffic safety as much as it does in the case of drunk driving. In real-life situations, adopting a rest-time strategy to avoid post-alcohol impairment effects may not be the most appropriate solution by drivers; rather, drivers should be given some tests to verify the probability of post-alcohol effects on driving.

  10. Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM).

    Science.gov (United States)

    Habibovic, Azra; Tivesten, Emma; Uchida, Nobuyuki; Bärgman, Jonas; Ljung Aust, Mikael

    2013-01-01

    To develop relevant road safety countermeasures, it is necessary to first obtain an in-depth understanding of how and why safety-critical situations such as incidents, near-crashes, and crashes occur. Video-recordings from naturalistic driving studies provide detailed information on events and circumstances prior to such situations that is difficult to obtain from traditional crash investigations, at least when it comes to the observable driver behavior. This study analyzed causation in 90 video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan. The Driving Reliability and Error Analysis Method (DREAM) was modified and used to identify contributing factors and causation patterns in these incidents. Two main causation patterns were found. In intersections, drivers failed to recognize the presence of the conflict pedestrian due to visual obstructions and/or because their attention was allocated towards something other than the conflict pedestrian. In incidents away from intersections, this pattern reoccurred along with another pattern showing that pedestrians often behaved in unexpected ways. These patterns indicate that an interactive advanced driver assistance system (ADAS) able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Cooperative ADAS may be needed to address issues raised by visual obstructions. Copyright © 2012 Elsevier Ltd. All rights reserved.

  11. Validation of the Spanish version of the Drive for Muscularity Scale (DMS) among males: Confirmatory factor analysis.

    Science.gov (United States)

    Sepulveda, Ana R; Parks, Melissa; de Pellegrin, Yolanda; Anastasiadou, Dimitra; Blanco, Miriam

    2016-04-01

    Drive for Muscularity (DM) has been shown to be a relevant construct for measuring and understanding male body image. For this reason, it is important to have reliable and valid instruments with which to measure DM, and to date no such instruments exist in Spain. This study analyzes the psychometric and structural properties of the Drive for Muscularity Scale (DMS) in a sample of Spanish adolescent males (N=212), with the aim of studying the structural validity of the scale by using a confirmatory factor analysis (CFA), as well as analyzing the internal consistency and construct (convergent and discriminant) and concurrent validity of the instrument. After testing three models, results indicated that the best structure was a two-dimensional model, with the factors of muscularity-oriented body image (MBI) and muscularity behavior (MB). The scale showed good internal consistency (α=.90) and adequate construct validity. Furthermore, significant associations were found between DM and increased difficulties in emotional regulation (rho=.37) and low self-esteem (rho=-.19). Findings suggest that the two-factor structure may be used when assessing drive for muscularity among adolescent males in Spain. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. Screening Driving Transcription Factors in the Processing of Gastric Cancer

    Directory of Open Access Journals (Sweden)

    Guangzhong Xu

    2016-01-01

    Full Text Available Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed. Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls, a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer. Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis.

  13. MAIN FACTORS DRIVING SOCIAL PUBLIC SERVICES IN INTERNATIONAL CONTEXT

    Directory of Open Access Journals (Sweden)

    Mihaela, GHENTA

    2014-03-01

    Full Text Available Literature and the latest reports point out that not only in Europe, but all over the world there is a growing demand for social services. As social needs have diversified, the number of potential users of social services has increased and this has generated increased complexity of social services. This paper highlights some of the results of a study conducted by the author in the doctoral studies program. One of the aims of this study was to identify the main factors that cause the current configuration of social services at global level. The research analysed the demographic changes and the impact of the crisis in social services for Europe, the United States of America (USA and Japan based on statistical data provided by the national statistics institutes for the regions considered. The results highlight the necessity of continuous development and reconfiguration of social services in order to meet the social and economic demands and to ensure a better organisation of these type of services.

  14. Obstacle avoidance, visual detection performance, and eye-scanning behavior of glaucoma patients in a driving simulator : A preliminary study

    NARCIS (Netherlands)

    Prado Vega, R.; Van Leeuwen, P.M.; Rendon Velez, E.; Lemij, H.G.; De Winter, J.C.

    2013-01-01

    The objective of this study was to evaluate differences in driving performance, visual detection performance, and eye-scanning behavior between glaucoma patients and control participants without glaucoma. Glaucoma patients (n = 23) and control participants (n = 12) completed four 5-min driving

  15. Behavioral and Cardiovascular Responses to Frustration during Simulated Driving Tasks in Young Adults with and without Attention Disorder Symptoms

    Science.gov (United States)

    Oliver, Michele L.; Nigg, Joel T.; Cassavaugh, Nicholas D.; Backs, Richard W.

    2012-01-01

    Objective: The present study examined the role of negative emotions on driving performance in relation to ADHD, by comparing young adults scoring high on measures of ADHD (n = 20) with a control group (n = 22). Method: The authors used cardiorespiratory physiological measures, simulated driving behavior, and self-report to examine how participants…

  16. A simulator study of the combined effects of alcohol and marihuana on driving behavior--phase II

    Science.gov (United States)

    1983-02-01

    Author's abstract: The study described in this report investigated the effects of alcohol and marihuana, alone and in combination, on driver performance and behavior in a fully interactive driving simulator. The simulator provided the driver a comple...

  17. Evaluating the Safety Benefits of a Low-Cost Driving Behavior Management System in Commercial Vehicle Operations

    Science.gov (United States)

    2010-04-01

    This project provides an independent evaluation of a commercially available low-cost driving behavior management system. Participating drivers from two carriers (identified as Carrier A and Carrier B) drove an instrumented vehicle for 17 consecutive ...

  18. Behind the wheel and on the map: Genetic and environmental associations between drunk driving and other externalizing behaviors.

    Science.gov (United States)

    Quinn, Patrick D; Harden, K Paige

    2013-11-01

    Drunk driving, a major contributor to alcohol-related mortality, has been linked to a variety of other alcohol-related (e.g., Alcohol Dependence, early age at first drink) and non-alcohol-related externalizing behaviors. In a sample of 517 same-sex twin pairs from the National Longitudinal Study of Adolescent Health, we examined 3 conceptualizations of the etiology of drunk driving in relation to other externalizing behaviors. A series of behavioral-genetic models found consistent evidence for drunk driving as a manifestation of genetic vulnerabilities toward a spectrum of alcohol-related and non-alcohol-related externalizing behaviors. Most notably, multidimensional scaling analyses produced a genetic "map" with drunk driving located near its center, supporting the strength of drunk driving's genetic relations with a broad range of externalizing behaviors. In contrast, nonshared environmental associations with drunk driving were weaker and more diffuse. Drunk driving may be a manifestation of genetic vulnerabilities toward a broad externalizing spectrum. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  19. Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study.

    Science.gov (United States)

    Chen, Rong; Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    Lane changes with the intention to overtake the vehicle in front are especially challenging scenarios for forward collision warning (FCW) designs. These overtaking maneuvers can occur at high relative vehicle speeds and often involve no brake and/or turn signal application. Therefore, overtaking presents the potential of erroneously triggering the FCW. A better understanding of driver behavior during lane change events can improve designs of this human-machine interface and increase driver acceptance of FCW. The objective of this study was to aid FCW design by characterizing driver behavior during lane change events using naturalistic driving study data. The analysis was based on data from the 100-Car Naturalistic Driving Study, collected by the Virginia Tech Transportation Institute. The 100-Car study contains approximately 1.2 million vehicle miles of driving and 43,000 h of data collected from 108 primary drivers. In order to identify overtaking maneuvers from a large sample of driving data, an algorithm to automatically identify overtaking events was developed. The lead vehicle and minimum time to collision (TTC) at the start of lane change events was identified using radar processing techniques developed in a previous study. The lane change identification algorithm was validated against video analysis, which manually identified 1,425 lane change events from approximately 126 full trips. Forty-five drivers with valid time series data were selected from the 100-Car study. From the sample of drivers, our algorithm identified 326,238 lane change events. A total of 90,639 lane change events were found to involve a closing lead vehicle. Lane change events were evenly distributed between left side and right side lane changes. The characterization of lane change frequency and minimum TTC was divided into 10 mph speed bins for vehicle travel speeds between 10 and 90 mph. For all lane change events with a closing lead vehicle, the results showed that drivers change

  20. How much can you drink before driving? The influence of riding with impaired adults and peers on the driving behaviors of urban and rural youth.

    Science.gov (United States)

    Leadbeater, Bonnie J; Foran, Kathleen; Grove-White, Aidan

    2008-04-01

    Following an ecological model to specify risks for impaired driving, we assessed the effects of youth attitudes about substance use and their experiences of riding in cars with adults and peers who drove after drinking alcohol or smoking cannabis on the youths' own driving after drinking or using cannabis. Participants were 2594 students in grades 10 and 12 (mean age = 16 years and 2 months; 50% girls) from public high schools in urban (994) and rural communities (1600) on Vancouver Island in British Columbia, Canada; 1192 of these were new drivers with restricted licenses. Self-report data were collected in anonymous questionnaires. Regression analyses were used to assess the independent and interacting effects of youth attitudes about substance use and their experiences of riding in cars with adults or peers who drove after drinking alcohol or smoking cannabis on youth driving. Youth driving risk behaviors were associated independently with their own high-risk attitudes and experiences riding with peers who drink alcohol or use cannabis and drive. However, risks were highest for the youth who also report more frequent experiences of riding with adults who drink alcohol or use cannabis and drive. Prevention efforts should be expanded to include the adults and peers who are role models for new drivers and to increase youths' awareness of their own responsibilities for their personal safety as passengers.

  1. Effectiveness of enforcement levels of speed limit and drink driving laws and associated factors – Exploratory empirical analysis using a bivariate ordered probit model

    Directory of Open Access Journals (Sweden)

    Behram Wali

    2017-06-01

    Full Text Available The contemporary traffic safety research comprises little information on quantifying the simultaneous association between drink driving and speeding among fatally injured drivers. Potential correlation between driver's drink driving and speeding behavior poses a substantial methodological concern which needs investigation. This study therefore focused on investigating the simultaneous impact of socioeconomic factors, fatalities, vehicle ownership, health services and highway agency road safety policies on enforcement levels of speed limit and drink driving laws. The effectiveness of enforcement levels of speed limit and drink driving laws has been investigated through development of bivariate ordered probit model using data extricated from WHO's global status report on road safety in 2013. The consistent and intuitive parameter estimates along with statistically significant correlation between response outcomes validates the statistical supremacy of bivariate ordered probit model. The results revealed that fatalities per thousand registered vehicles, hospital beds per hundred thousand population and road safety policies are associated with a likely medium or high effectiveness of enforcement levels of speed limit and drink driving laws, respectively. Also, the model encapsulates the effect of several other agency related variables and socio-economic status on the response outcomes. Marginal effects are reported for analyzing the impact of such factors on intermediate categories of response outcomes. The results of this study are expected to provide necessary insights to elemental enforcement programs. Also, marginal effects of explanatory variables may provide useful directions for formulating effective policy countermeasures for overcoming driver's speeding and drink driving behavior.

  2. Characterization of In-Use Medium Duty Electric Vehicle Driving and Charging Behavior: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Duran, A.; Ragatz, A.; Prohaska, R.; Kelly, K.; Walkowicz, K.

    2014-11-01

    The U.S. Department of Energy's American Recovery and Reinvestment Act (ARRA) deployment and demonstration projects are helping to commercialize technologies for all-electric vehicles (EVs). Under the ARRA program, data from Smith Electric and Navistar medium duty EVs have been collected, compiled, and analyzed in an effort to quantify the impacts of these new technologies. Over a period of three years, the National Renewable Energy Laboratory (NREL) has compiled data from over 250 Smith Newton EVs for a total of over 100,000 days of in-use operation. Similarly, data have been collected from over 100 Navistar eStar vehicles, with over 15,000 operating days having been analyzed. NREL has analyzed a combined total of over 4 million kilometers of driving and 1 million hours of charging data for commercial operating medium duty EVs. In this paper, the authors present an overview of medium duty EV operating and charging behavior based on in-use data collected from both Smith and Navistar vehicles operating in the United States. Specifically, this paper provides an introduction to the specifications and configurations of the vehicles examined; discusses the approach and methodology of data collection and analysis, and presents detailed results regarding daily driving and charging behavior. In addition, trends observed over the course of multiple years of data collection are examined, and conclusions are drawn about early deployment behavior and ongoing adjustments due to new and improving technology. Results and metrics such as average daily driving distance, route aggressiveness, charging frequency, and liter per kilometer diesel equivalent fuel consumption are documented and discussed.

  3. The development, factor structure and psychometric properties of driving self-regulation scales for older adults: Has self-regulation evolved in the last 15 years?

    Science.gov (United States)

    Wong, Ides Y; Smith, Simon S; Sullivan, Karen A

    2015-07-01

    The term driving self-regulation is typically used to describe the practice of drivers who avoid driving in situations that they regard as unsafe because of perceived physical impairment. Older adults report using this strategy to improve safety while retaining mobility. Self-regulation is typically assessed using the driving avoidance items from the driving habits questionnaire (DHQ) and the driver mobility questionnaire (DMQ-A). However, the psychometric properties of these measures are not well understood. Using data from 277 older drivers, exploratory factor analysis was used to test the homogeneity of three driving self-regulation scales: the DHQ, DMQ-A, and an extended DMQ-A. Good internal consistency for each of the scales was identified (all αs≥.9). A one factor solution was identified for two of the measures (DHQ, DMQ-A) and a two factor solution accounting for over 70% of the score variance was identified for the third measure. The two factors assessed situations that may be avoided while driving because of the "external" (e.g., weather-related) or "internal" (e.g., passenger-related) driving environments, respectively. The findings suggest that the interpretation of an overall summated scale score, or single-item interpretations, may not be appropriate. Instead, driving self-regulation may be a multifaceted construct comprised of distinct dimensions that have not been identified previously but can be reliably measured. These data have implications for our understanding of driving self-regulation by older adults and the way in which this behavior is measured. Copyright © 2015 Elsevier Ltd. All rights reserved.

  4. Driving factors of urban land growth in Guangzhou and its implications for sustainable development

    Science.gov (United States)

    Cui, Xuezhu; Li, Shaoying; Wang, Xuetong; Xue, Xiaolong

    2018-04-01

    Since 2000, China's urban land has expanded at a dramatic speed because of the country's rapid urbanization. The country has been experiencing unbalanced development between rural and urban areas, causing serious challenges such as agricultural security and land resources waste. Effectively evaluating the driving factors of urban land growth is essential for improving efficient land use management and sustainable urban development. This study established a principal component regression model based on eight indicators to identify their influences on urban land growth in Guangzhou. The results provided a grouping analysis of the driving factors, and found that economic growth, urban population, and transportation development are the driving forces of urban land growth of Guangzhou, while the tertiary industry has an opposite effect. The findings led to further suggestions and recommendations for urban sustainable development. Hence, local governments should design relevant policies for achieving the rational development of urban land use and strategic planning on urban sustainable development.

  5. Detection of Risky Driving Behaviors in the Naturalistic Environment in Healthy Older Adults and Mild Alzheimer’s Disease

    Directory of Open Access Journals (Sweden)

    Jennifer D. Davis

    2018-03-01

    Full Text Available Analyzing naturalistic driving behavior recorded with in-car cameras is an ecologically valid method for measuring driving errors, but it is time intensive and not easily applied on a large scale. This study validated a semi-automated, computerized method using archival naturalistic driving data collected for drivers with mild Alzheimer’s disease (AD; n = 44 and age-matched healthy controls (HC; n = 16. The computerized method flagged driving situations where safety concerns are most likely to occur (i.e., rapid stops, lane deviations, turns, and intersections. These driving epochs were manually reviewed and rated for error type and severity, if present. Ratings were made with a standardized scoring system adapted from DriveCam®. The top eight error types were applied as features to train a logistic model tree classifier to predict diagnostic group. The sensitivity and specificity were compared among the event-based method, on-road test, and composite ratings of two weeks of recorded driving. The logistic model derived from the event-based method had the best overall accuracy (91.7% and sensitivity (97.7% and high specificity (75.0% compared to the other methods. Review of driving situations where risk is highest appears to be a sensitive data reduction method for detecting cognitive impairment associated driving behaviors and may be a more cost-effective method for analyzing large volumes of naturalistic data.

  6. Maternal factors associated with child behavior.

    Science.gov (United States)

    Hall, Lynne A; Rayens, Mary Kay; Peden, Ann R

    2008-01-01

    Knowledge of the relative contributions of risk factors in predicting young children's behavior problems may provide insights for the development of preventive interventions. The purpose of this cross-sectional study was to identify maternal predictors of children's internalizing and externalizing behaviors in a volunteer sample of 205 low-income, single mothers with children between 2 and 6 years of age. Data were collected on chronic stressors, self-esteem, negative thinking, depressive symptoms, and child behavior during in-home interviews with the mothers. Mothers' reports of internalizing and externalizing behaviors did not differ by sex or race of the child. Chronic stressors and depressive symptoms, in addition to control variables, explained 27% of the variability in internalizing behavior while these two variables accounted for 21% of the variability in externalizing behavior. For both internalizing and externalizing behavior, chronic stressors exerted the largest total effects. The effects of self-esteem and negative thinking were indirect, with the latter playing a stronger role. The indirect effect of negative thinking on child behavior was exerted through depressive symptoms, while self-esteem was linked with child behavior through both negative thinking and depressive symptoms. Decreasing mothers' negative thinking, a variable amenable to intervention, may not only decrease a mother's depressive symptoms but also improve her perception of the child's behavior. Decreasing mothers' negative thinking may provide a way to reduce their depressive symptoms and result in fewer behavior problems among their young children. Nurses working in primary care and community-based settings are in key positions to address this problem and improve the mental health of low-income mothers and positively affect the behavior of their children.

  7. Protective factors against suicidal behavior in Latinos.

    Science.gov (United States)

    Oquendo, Maria A; Dragatsi, Dianna; Harkavy-Friedman, Jill; Dervic, Kanita; Currier, Dianne; Burke, Ainsley Keller; Grunebaum, Michael F; Mann, J John

    2005-07-01

    Latinos appear to be relatively protected against suicidal behavior, but the factors that mediate this effect are not known. Some protective factors may be related to cultural constructs that provide a buffer against suicidal behavior in the face of psychiatric illness. We sought to determine whether the Reasons for Living Inventory (RFLI) might capture protective factors against suicidal behavior in Latinos and non-Latinos. Patients with major depression, bipolar disorder, or schizophrenia were interviewed regarding their depressive symptomatology and lifetime history of suicidal behavior. The RFLI, which measures protective factors against suicidal acts, was also administered. Multivariate analyses were used to assess the relationship between suicide measures, ethnicity, and selected clinical and demographic variables. Although Latinos and non-Latinos did not differ significantly in attempter status (attempter/nonattempter), number of attempts, or suicide intent, Latinos reported significantly less suicidal ideation and made less lethal attempts. On the RFLI, Latinos scored significantly higher on subscales regarding survival and coping beliefs, responsibility to family, and moral objections to suicide, possibly reflective of cultural norms endorsed by Latino groups. Multivariate analyses suggested that although being Latino was independently associated with less suicidal ideation, other suicidal behaviors held a stronger relationship to moral objections to suicide and survival and coping skills than to ethnicity. Self-identification as Latino may be associated with espousing cultural constructs that mediate protective effects against suicidal behavior. Constructs identified in the RFLI may protect Latinos from acting on suicidal thoughts, affecting moral objections to suicide and survival and coping beliefs. Further studies to elucidate the impact of these factors on suicidal behavior and their relationship to specific cultural constructs would be of interest.

  8. [Factors influencing nurses' organizational citizenship behavior].

    Science.gov (United States)

    Park, Junhee; Yun, Eunkyung; Han, Sangsook

    2009-08-01

    This study was conducted to identify the factors that influence nurses' organizational citizenship behavior. A cross-sectional design was used, with a convenience sample of 547 nurses from four university hospitals in Seoul and Gyeonggi province. The data were collected through a questionnaire survey done from September 22 to October 10, 2008. The tools used for this study were scales on organizational citizenship behavior (14 items), self-leadership (14 items), empowerment (10 items), organizational commitment (7 items), job satisfaction (8 items) and transformational.transactional leadership (14 items). Cronbach's alpha and factor analysis were examined to test reliability and construct validity of the scale. The data collected were processed using SPSS Window 15.0 Program for actual numbers and percentages, differences in the dependent variable according to general characteristics, and means, standard deviations, correlation coefficients and multiple regression analysis. The factors influencing nurses' organizational citizenship behavior were identified as self-leadership(beta=.247), empowerment (beta=.233), job satisfaction (beta=.209), organizational commitment (beta=.158), and transactional leadership (beta=.142). Five factors explained 42.0% of nurses' organizational citizenship behavior. The results of this study can be used to develop further management strategies for enhancement of nurses' organizational citizenship behavior.

  9. Economic and policy factors driving adoption of institutional woody biomass heating systems in the United States

    Science.gov (United States)

    Jesse D. Young; Nathaniel M. Anderson; Helen T. Naughton; Katrina Mullan

    2018-01-01

    Abundant stocks of woody biomass that are associated with active forest management can be used as fuel for bioenergy in many applications. Though factors driving large-scale biomass use in industrial settings have been studied extensively, small-scale biomass combustion systems commonly used by institutions for heating have received less attention. A zero inflated...

  10. Factors Driving the Adoption of M-Learning: An Empirical Study

    Science.gov (United States)

    Liu, Yong; Li, Hongxiu; Carlsson, Christer

    2010-01-01

    Even if m-learning is spreading rapidly in many regions of the world, research addressing the driving factors of m-learning adoption is in short supply. Built on the Technology Acceptance Model, this paper proposes a hypothesized model of m-learning adoption. Employing structural equation modeling technology, the model was assessed based on the…

  11. Understanding the Factors Driving M-Learning Adoption: A Literature Review

    Science.gov (United States)

    Liu, Yong; Han, Shengnan; Li, Hongxiu

    2010-01-01

    Purpose: By surveying current literature, the purposes of this paper are twofold: to identify current situation of mobile learning (m-learning) adoption and specify the challenges and to identify the factors driving m-learning adoption. Design/methodology/approach: The paper reviews literature related to: m-learning applications and challenging…

  12. An Empirical Study of Factors Driving the Adoption of Mobile Learning in Omani Higher Education

    Science.gov (United States)

    Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela

    2016-01-01

    Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…

  13. Comparing handheld and hands-free cell phone usage behaviors while driving.

    Science.gov (United States)

    Soccolich, Susan A; Fitch, Gregory M; Perez, Miguel A; Hanowski, Richard J

    2014-01-01

    The goal of this study was to compare cell phone usage behaviors while driving across 3 types of cell phones: handheld (HH) cell phones, portable hands-free (PHF) cell phones, and integrated hands-free (IHF) cell phones. Naturalistic driving data were used to observe HH, PHF, and IHF usage behaviors in participants' own vehicles without any instructions or manipulations by researchers. In addition to naturalistic driving data, drivers provided their personal cell phone call records. Calls during driving were sampled and observed in naturalistically collected video. Calls were reviewed to identify cell phone type used for, and duration of, cell phone subtasks, non-cell phone secondary tasks, and other use behaviors. Drivers in the study self-identified as HH, PHF, or IHF users if they reported using that cell phone type at least 50% of the time. However, each sampled call was classified as HH, PHF, or IHF if the talking/listening subtask was conducted using that cell phone type, without considering the driver's self-reported group. Drivers with PHF or IHF systems also used HH cell phones (IHF group used HH cell phone in 53.2% of the interactions, PHF group used HH cell phone for 55.5% of interactions). Talking/listening on a PHF phone or an IHF phone was significantly longer than talking/listening on an HH phone (P phone call task for HH phones was significantly longer in duration than the end phone call task for PHF and IHF phones. Of all the non-cell phone-related secondary tasks, eating or drinking was found to occur significantly more often during IHF subtasks (0.58%) than in HH subtasks (0.15%). Drivers observed to reach for their cell phone mostly kept their cell phone in the cup holder (36.3%) or in their seat or lap (29.0% of interactions); however, some observed locations may have required drivers to move out of position. Hands-free cell phone technologies reduce the duration of cell phone visual-manual tasks compared to handheld cell phones. However

  14. Spatial Characteristics and Driving Factors of Provincial Wastewater Discharge in China

    Directory of Open Access Journals (Sweden)

    Kunlun Chen

    2016-12-01

    Full Text Available Based on the increasing pressure on the water environment, this study aims to clarify the overall status of wastewater discharge in China, including the spatio-temporal distribution characteristics of wastewater discharge and its driving factors, so as to provide reference for developing “emission reduction” strategies in China and discuss regional sustainable development and resources environment policies. We utilized the Exploratory Spatial Data Analysis (ESDA method to analyze the characteristics of the spatio-temporal distribution of the total wastewater discharge among 31 provinces in China from 2002 to 2013. Then, we discussed about the driving factors, affected the wastewater discharge through the Logarithmic Mean Divisia Index (LMDI method and classified those driving factors. Results indicate that: (1 the total wastewater discharge steadily increased, based on the social economic development, with an average growth rate of 5.3% per year; the domestic wastewater discharge is the main source of total wastewater discharge, and the amount of domestic wastewater discharge is larger than the industrial wastewater discharge. There are many spatial differences of wastewater discharge among provinces via the ESDA method. For example, provinces with high wastewater discharge are mainly the developed coastal provinces such as Jiangsu Province and Guangdong Province. Provinces and their surrounding areas with low wastewater discharge are mainly the undeveloped ones in Northwest China; (2 The dominant factors affecting wastewater discharge are the economy and technological advance; The secondary one is the efficiency of resource utilization, which brings about the unstable effect; population plays a less important role in wastewater discharge. The dominant driving factors affecting wastewater discharge among 31 provinces are divided into three types, including two-factor dominant type, three-factor leading type and four-factor antagonistic type

  15. The Melanin-Concentrating Hormone as an Integrative Peptide Driving Motivated Behaviors

    Directory of Open Access Journals (Sweden)

    Giovanne B. Diniz

    2017-05-01

    Full Text Available The melanin-concentrating hormone (MCH is an important peptide implicated in the control of motivated behaviors. History, however, made this peptide first known for its participation in the control of skin pigmentation, from which its name derives. In addition to this peripheral role, MCH is strongly implicated in motivated behaviors, such as feeding, drinking, mating and, more recently, maternal behavior. It is suggested that MCH acts as an integrative peptide, converging sensory information and contributing to a general arousal of the organism. In this review, we will discuss the various aspects of energy homeostasis to which MCH has been associated to, focusing on the different inputs that feed the MCH peptidergic system with information regarding the homeostatic status of the organism and the exogenous sensory information that drives this system, as well as the outputs that allow MCH to act over a wide range of homeostatic and behavioral controls, highlighting the available morphological and hodological aspects that underlie these integrative actions. Besides the well-described role of MCH in feeding behavior, a prime example of hypothalamic-mediated integration, we will also examine those functions in which the participation of MCH has not yet been extensively characterized, including sexual, maternal, and defensive behaviors. We also evaluated the available data on the distribution of MCH and its function in the context of animals in their natural environment. Finally, we briefly comment on the evidence for MCH acting as a coordinator between different modalities of motivated behaviors, highlighting the most pressing open questions that are open for investigations and that could provide us with important insights about hypothalamic-dependent homeostatic integration.

  16. Exploring travelers' behavior in response to dynamic message signs (DMS) using a driving simulator.

    Science.gov (United States)

    2013-10-01

    This research studies the effectiveness of a dynamic message sign (DMS) using a driving : simulator. Over 100 subjects from different socio-economic and age groups were recruited to : drive the simulator under different traffic and driving conditions...

  17. Exploring travelers' behavior in response to dynamic message signs (DMS) using a driving simulator : final report.

    Science.gov (United States)

    2013-10-01

    This research studies the effectiveness of a dynamic message sign (DMS) using a driving : simulator. Over 100 subjects from different socio-economic and age groups were recruited to : drive the simulator under different traffic and driving conditions...

  18. POWER FACTOR CORRECTION IN PERMANENT MAGNET BRUSHLESS DC MOTOR DRIVE USING SINGLE-PHASE CUK CONVERTER

    Directory of Open Access Journals (Sweden)

    SANJEEV SINGH

    2010-12-01

    Full Text Available Permanent magnet brushless DC motor (PMBLDCM drives are being employed in many variable speed applications due to their high efficiency, silent operation, compact size, high reliability, ease of control, and low maintenance requirements. These drives have power quality problems and poor power factor at input AC mains as they are mostly fed through diode bridge rectifier based voltage source inverters. To overcome such problems a single-phase single-switch power factor correction AC-DC converter topology based on a Cuk converter is proposed to feed voltage source inverters based PMBLDCM. It focuses on the analysis, design and performance evaluation of the proposed PFC converter topology for a 1.5 kW, 1500 rpm, 400 V PMBLDCM drive used for an air-conditioning system. The proposed PFC converter topology is modelled and its performance is simulated in Matlab-Simulink environment and results show an improved power quality and good power factor in wide speed range of the drive.

  19. Spatiotemporal dataset on Chinese population distribution and its driving factors from 1949 to 2013

    Science.gov (United States)

    Wang, Lizhe; Chen, Lajiao

    2016-07-01

    Spatio-temporal data on human population and its driving factors is critical to understanding and responding to population problems. Unfortunately, such spatio-temporal data on a large scale and over the long term are often difficult to obtain. Here, we present a dataset on Chinese population distribution and its driving factors over a remarkably long period, from 1949 to 2013. Driving factors of population distribution were selected according to the push-pull migration laws, which were summarized into four categories: natural environment, natural resources, economic factors and social factors. Natural environment and natural resources indicators were calculated using Geographic Information System (GIS) and Remote Sensing (RS) techniques, whereas economic and social factors from 1949 to 2013 were collected from the China Statistical Yearbook and China Compendium of Statistics from 1949 to 2008. All of the data were quality controlled and unified into an identical dataset with the same spatial scope and time period. The dataset is expected to be useful for understanding how population responds to and impacts environmental change.

  20. Psychosocial factors associated with smoking behavior among ...

    African Journals Online (AJOL)

    Psychosocial factors associated with smoking behavior among secondary school adolescents in Ibadan Metropolis. AO Taiwo, PO Olapegba, GA Adejuwon. Abstract. No Abstract. African Journal for the Psychological Study of Social Issues Vol. 8(2) 2005: 264-279. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT

  1. Serotonin Drives Predatory Feeding Behavior via Synchronous Feeding Rhythms in the Nematode Pristionchus pacificus.

    Science.gov (United States)

    Okumura, Misako; Wilecki, Martin; Sommer, Ralf J

    2017-11-06

    Feeding behaviors in a wide range of animals are regulated by the neurotransmitter serotonin, although the exact neural circuits and associated mechanism are often unknown. The nematode Pristionchus pacificus can kill other nematodes by opening prey cuticles with movable teeth. Previous studies showed that exogenous serotonin treatment induces a predatory-like tooth movement and slower pharyngeal pumping in the absence of prey; however, physiological functions of serotonin during predation and other behaviors in P. pacificus remained completely unknown. Here, we investigate the roles of serotonin by generating mutations in Ppa-tph-1 and Ppa-bas-1 , two key serotonin biosynthesis enzymes, and by genetic ablation of pharynx-associated serotonergic neurons. Mutations in Ppa-tph-1 reduced the pharyngeal pumping rate during bacterial feeding compared with wild-type. Moreover, the loss of serotonin or a subset of serotonergic neurons decreased the success of predation, but did not abolish the predatory feeding behavior completely. Detailed analysis using a high-speed camera revealed that the elimination of serotonin or the serotonergic neurons disrupted the timing and coordination of predatory tooth movement and pharyngeal pumping. This loss of synchrony significantly reduced the efficiency of successful predation events. These results suggest that serotonin has a conserved role in bacterial feeding and in addition drives the feeding rhythm of predatory behavior in Pristionchus . Copyright © 2017 Okumura et al.

  2. Serotonin Drives Predatory Feeding Behavior via Synchronous Feeding Rhythms in the Nematode Pristionchus pacificus

    Directory of Open Access Journals (Sweden)

    Misako Okumura

    2017-11-01

    Full Text Available Feeding behaviors in a wide range of animals are regulated by the neurotransmitter serotonin, although the exact neural circuits and associated mechanism are often unknown. The nematode Pristionchus pacificus can kill other nematodes by opening prey cuticles with movable teeth. Previous studies showed that exogenous serotonin treatment induces a predatory-like tooth movement and slower pharyngeal pumping in the absence of prey; however, physiological functions of serotonin during predation and other behaviors in P. pacificus remained completely unknown. Here, we investigate the roles of serotonin by generating mutations in Ppa-tph-1 and Ppa-bas-1, two key serotonin biosynthesis enzymes, and by genetic ablation of pharynx-associated serotonergic neurons. Mutations in Ppa-tph-1 reduced the pharyngeal pumping rate during bacterial feeding compared with wild-type. Moreover, the loss of serotonin or a subset of serotonergic neurons decreased the success of predation, but did not abolish the predatory feeding behavior completely. Detailed analysis using a high-speed camera revealed that the elimination of serotonin or the serotonergic neurons disrupted the timing and coordination of predatory tooth movement and pharyngeal pumping. This loss of synchrony significantly reduced the efficiency of successful predation events. These results suggest that serotonin has a conserved role in bacterial feeding and in addition drives the feeding rhythm of predatory behavior in Pristionchus.

  3. Factors driving public tolerance levels and information-seeking behaviour concerning insects in the household environment.

    Science.gov (United States)

    Schoelitsz, Bruce; Poortvliet, P Marijn; Takken, Willem

    2017-12-23

    The public's negative attitudes towards household insects drive tolerance for these insects and their control. Tolerance levels are important in integrated pest management (IPM), as are pest knowledge and information. The risk information seeking and processing (RISP) model describes the relationships between personal factors and information-seeking behaviour. We combined IPM and RISP to determine important relationships between factors driving insect tolerance levels and information-seeking behaviour through an online survey and tested whether this model is valid and generally applicable. Relationships between variables from both IPM and RISP models were tested for seven insect species. Tolerance levels were measured with two factors: willingness to pay for pest control and whether insects are tolerated. Willingness to pay for control was positively affected by age, experience, risk perception, insect characteristics, and negative emotions and affected behavioural intention, by influencing information sufficiency and information-seeking behaviour. Tolerability was influenced by perception of insect characteristics and determines whether control measures are taken. It was possible to combine the RISP and IPM models. Relevant driving factors were a person's age, experience, risk perception, negative affective responses, tolerance levels, relevant channel beliefs about online forums, information sufficiency and information-seeking behaviour. There was, however, variation in important factors between different insects. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

  4. Motor Circuit-Specific Burst Patterns Drive Different Muscle and Behavior Patterns

    Science.gov (United States)

    Diehl, Florian; White, Rachel S.; Stein, Wolfgang

    2013-01-01

    In the isolated CNS, different modulatory inputs can enable one motor network to generate multiple output patterns. Thus far, however, few studies have established whether different modulatory inputs also enable a defined network to drive distinct muscle and movement patterns in vivo, much as they enable these distinctions in behavioral studies. This possibility is not a foregone conclusion, because additional influences present in vivo (e.g., sensory feedback, hormonal modulation) could alter the motor patterns. Additionally, rhythmic neuronal activity can be transformed into sustained muscle contractions, particularly in systems with slow muscle dynamics, as in the crab (Cancer borealis) stomatogastric system used here. We assessed whether two different versions of the biphasic (protraction, retraction) gastric mill (chewing) rhythm, triggered in the isolated stomatogastric system by the modulatory ventral cardiac neurons (VCNs) and postoesophageal commissure (POC) neurons, drive different muscle and movement patterns. One distinction between these rhythms is that the lateral gastric (LG) protractor motor neuron generates tonic bursts during the VCN rhythm, whereas its POC-rhythm bursts are divided into fast, rhythmic burstlets. Intracellular muscle fiber recordings and tension measurements show that the LG-innervated muscles retain the distinct VCN-LG and POC-LG neuron burst structures. Moreover, endoscope video recordings in vivo, during VCN-triggered and POC-triggered chewing, show that the lateral teeth protraction movements exhibit the same, distinct protraction patterns generated by LG in the isolated nervous system. Thus, the multifunctional nature of an identified motor network in the isolated CNS can be preserved in vivo, where it drives different muscle activity and movement patterns. PMID:23864688

  5. Combined Use of Alcohol and Energy Drinks Increases Participation in High-Risk Drinking and Driving Behaviors Among College Students.

    Science.gov (United States)

    Woolsey, Conrad L; Williams, Ronald D; Housman, Jeff M; Barry, Adam E; Jacobson, Bert H; Evans, Marion W

    2015-07-01

    A recent study suggested that college students who combined alcohol and energy drinks were more likely than students who consumed only alcohol to drive when their blood alcohol concentration (BAC) was higher than the .08% limit and to choose to drive despite knowing they had too much alcohol to drive safely. This study sought to replicate those findings with a larger sample while also exploring additional variables related to impaired driving. College students (N = 549) completed an anonymous online survey to assess differences in drinking and driving-related behaviors between alcohol-only users (n = 281) and combined alcohol-energy drink users (n = 268). Combined users were more likely than alcohol-only users to choose to (a) drive when they perceived they were over the .08% BAC limit (35.0% vs. 18.1%, p drinks consumed, number of days drinking, number of days drunk, number of heavy episodic drinking episodes, greatest number of drinks on one occasion, and average hours of consumption. Combined use of alcohol and energy drinks may place drinkers at greater risk when compared with those who consume only alcohol. College students in this sample who combined alcohol and energy drinks were more likely to participate in high-risk driving behaviors than those who consumed only alcohol.

  6. Drinking and parenting practices as predictors of impaired driving behaviors among U.S. adolescents.

    Science.gov (United States)

    Li, Kaigang; Simons-Morton, Bruce G; Brooks-Russell, Ashley; Ehsani, Johnathon; Hingson, Ralph

    2014-01-01

    The purpose of this study was to identify the extent to which 10th-grade substance use and parenting practices predicted 11th-grade teenage driving while alcohol-/other drug-impaired (DWI) and riding with alcohol-/other drug-impaired drivers (RWI). The data were from Waves 1 and 2 of the NEXT Generation study, with longitudinal assessment of a nationally representative sample of 10th graders starting in 2009-2010. Multivariate logistic regression analysis was used to examine the prospective associations between proposed predictors (heavy episodic drinking, illicit drug use, parental monitoring knowledge and control) in Wave 1 and DWI/RWI. Heavy episodic drinking at Wave 1 predicted Wave 2 DWI (odds ratio [OR] = 3.73, p parenting practices and selected covariates. Father's monitoring knowledge predicted lower DWI prevalence at Wave 2 when controlling for covariates and teenage substance use (OR = 0.66, p parental monitoring knowledge, particularly by fathers, was protective against DWI, independent of the effect of substance use. This suggests that the enhancement of parenting practices could potentially discourage adolescent DWI. The findings suggest that the parenting practices of fathers and mothers may have differential effects on adolescent impaired-driving behaviors.

  7. Drinking and Parenting Practices as Predictors of Impaired Driving Behaviors Among U.S. Adolescents

    Science.gov (United States)

    Li, Kaigang; Simons-Morton, Bruce G; Brooks-Russell, Ashley; Ehsani, Johnathon; Hingson, Ralph

    2014-01-01

    Objective: The purpose of this study was to identify the extent to which 10th-grade substance use and parenting practices predicted 11th-grade teenage driving while alcohol-/other drug–impaired (DWI) and riding with alcohol-/other drug–impaired drivers (RWI). Method: The data were from Waves 1 and 2 of the NEXT Generation study, with longitudinal assessment of a nationally representative sample of 10th graders starting in 2009–2010. Multivariate logistic regression analysis was used to examine the prospective associations between proposed predictors (heavy episodic drinking, illicit drug use, parental monitoring knowledge and control) in Wave 1 and DWI/RWI. Results: Heavy episodic drinking at Wave 1 predicted Wave 2 DWI (odds ratio [OR] = 3.73, p teen substance use. Conclusions: Heavy episodic drinking predicted DWI and RWI. In addition, parental monitoring knowledge, particularly by fathers, was protective against DWI, independent of the effect of substance use. This suggests that the enhancement of parenting practices could potentially discourage adolescent DWI. The findings suggest that the parenting practices of fathers and mothers may have differential effects on adolescent impaired-driving behaviors. PMID:24411792

  8. Psychometrics of the self-report safe driving behavior measure for older adults.

    Science.gov (United States)

    Classen, Sherrilene; Wen, Pey-Shan; Velozo, Craig A; Bédard, Michel; Winter, Sandra M; Brumback, Babette; Lanford, Desiree N

    2012-01-01

    We investigated the psychometric properties of the 68-item Safe Driving Behavior Measure (SDBM) with 80 older drivers, 80 caregivers, and 2 evaluators from two sites. Using Rasch analysis, we examined unidimensionality and local dependence; rating scale; item- and person-level psychometrics; and item hierarchy of older drivers, caregivers, and driving evaluators who had completed the SDBM. The evidence suggested the SDBM is unidimensional, but pairs of items showed local dependency. Across the three rater groups, the data showed good person (≥3.4) and item (≥3.6) separation as well as good person (≥.93) and item reliability (≥.92). Cronbach's α was ≥.96, and few items were misfitting. Some of the items did not follow the hypothesized order of item difficulty. The SDBM classified the older drivers into six ability levels, but to fully calibrate the instrument it must be refined in terms of its items (e.g., item exclusion) and then tested among participants of lesser ability. Copyright © 2012 by the American Occupational Therapy Association, Inc.

  9. Evaluation of Effects of Warning Sign Position on Driving Behavior in Horizontal Sharp Curves

    Directory of Open Access Journals (Sweden)

    Xiao-hua Zhao

    2015-02-01

    Full Text Available In present time, the guidelines on warning sign position in the China National Standard lack detailed and standard regulations of placing warning signs on sharp curves, which may cause road safety problems. Therefore, this paper briefly discussed how to optimize the position of a warning sign on a sharp curve through a driving simulator experiment. This study concluded that a warning sign placed at different positions prior to a sharp curve will have different influence ranges for drivers approaching and negotiating the curve. Meanwhile, different positions of a warning sign imposed different effect obviously on the adjustment of vehicle's lane position on sharp curves with the same radius, especially at the midpoint of a sharp curve. The evaluation results of five positions (0 m, 50 m, 100 m, 200 m, and 400 m in advance showed that only when the warning signs were placed 100 m or 200 m prior to sharp curves, can they achieve positive influence on driving behavior. On this basis, the authors look forward to providing rationalization proposals in selecting the best position of a warning sign on a sharp curve for the engineering implementation and national standard.

  10. Can providing feedback on driving behavior and training on parental vigilant care affect male teen drivers and their parents?

    Science.gov (United States)

    Farah, Haneen; Musicant, Oren; Shimshoni, Yaara; Toledo, Tomer; Grimberg, Einat; Omer, Haim; Lotan, Tsippy

    2014-08-01

    This study focuses on investigating the driving behavior of young novice male drivers during the first year of driving (three months of accompanied driving and the following nine months of solo driving). The study's objective is to examine the potential of various feedback forms on driving to affect young drivers' behavior and to mitigate the transition from accompanied to solo driving. The study examines also the utility of providing parents with guidance on how to exercise vigilant care regarding their teens' driving. Driving behavior was evaluated using data collected by In-Vehicle Data Recorders (IVDR), which document events of extreme g-forces measured in the vehicles. IVDR systems were installed in 242 cars of the families of young male drivers, however, only 217 families of young drivers aged 17-22 (M=17.5; SD=0.8) completed the one year period. The families were randomly allocated into 4 groups: (1) Family feedback: In which all the members of the family were exposed to feedback on their own driving and on that of the other family members; (2) Parental training: in which in addition to the family feedback, parents received personal guidance on ways to enhance vigilant care regarding their sons' driving; (3) Individual feedback: In which family members received feedback only on their own driving behavior (and were not exposed to the data on other family members); (4) CONTROL: Group that received no feedback at all. The feedback was provided to the different groups starting from the solo period, thus, the feedback was not provided during the supervised period. The data collected by the IVDRs was first analyzed using analysis of variance in order to compare the groups with respect to their monthly event rates. Events' rates are defined as the number of events in a trip divided by its duration. This was followed by the development and estimation of random effect negative binomial models that explain the monthly event rates of young drivers and their parents

  11. SUV driving "masculinizes" risk behavior in females: a public health challenge.

    Science.gov (United States)

    Wallner, Peter; Wanka, Anna; Hutter, Hans-Peter

    2017-09-01

    Involvement of sport utility vehicles (SUV) in accidents especially with children is of increasing importance. Studies have indicated a more risky behavior in SUV drivers. We conducted an observational study focusing on traffic violations, car type, and the gender of the driver in Vienna. The study was conducted on five weekdays at the beginning of school term. Three busy intersections were selected.Drivers of 43,168 normal cars and 5653 SUVs were counted at the intersections during the observation period. In total 13.8% drivers were unbelted, 3.1% were using a handheld mobile phone, and 2.5% violated traffic lights. These frequencies were significantly higher in SUV drivers than in normal passenger car drivers. This "SUV effect" also occurred in women for all violations, although male drivers violated traffic laws more often than female drivers. However, for driving unbelted the difference between males and females was smaller in SUV drivers.

  12. Conceptual framework on the application of biomechanical measurement methods in driving behavior study

    Science.gov (United States)

    Sanjaya, Kadek Heri; Sya'bana, Yukhi Mustaqim Kusuma

    2017-01-01

    Research on eco-friendly vehicle development in Indonesia has largely neglected ergonomic study, despite the fact that traffic accidents have resulted in greater economic cost than fuel subsidy. We have performed a biomechanical experiment on human locomotion earlier. In this article, we describe the importance of implementing the biomechanical measurement methods in transportation ergonomic study. The instruments such as electromyogram (EMG), load cell, pressure sensor, and motion analysis methods as well as cross-correlation function analysis were explained, then the possibility of their application in driving behavior study is described. We describe the potentials and challenges of the biomechanical methods concerning the future vehicle development. The methods provide greater advantages in objective and accurate measurement not only in human task performance but also its correlation with vehicle performance.

  13. A field study on the effects of digital billboards on glance behavior during highway driving.

    Science.gov (United States)

    Belyusar, Daniel; Reimer, Bryan; Mehler, Bruce; Coughlin, Joseph F

    2016-03-01

    Developments in lighting technologies have allowed more dynamic digital billboards in locations visible from the roadway. Decades of laboratory research have shown that rapidly changing or moving stimuli presented in peripheral vision tends to 'capture' covert attention. We report naturalistic glance and driving behavior of a large sample of drivers who were exposed to two digital billboards on a segment of highway largely free from extraneous signage. Results show a significant shift in the number and length of glances toward the billboards and an increased percentage of time glancing off road in their presence. Findings were particularly evident at the time the billboards transitioned between advertisements. Since rapidly changing stimuli are difficult to ignore, the planned increase in episodically changing digital displays near the roadway may be argued to be a potential safety concern. The impact of digital billboards on driver safety and the need for continued research are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. FED-A, an advanced performance FED based on low safety factor and current drive

    International Nuclear Information System (INIS)

    Peng, Y.K.M.; Rutherford, P.H.

    1983-08-01

    The FED-A study aims to quantify the potential improvement in cost-effectiveness of the Fusion Engineering Device (FED) by assuming low safety factor q (less than 2 as opposed to about 3) at the plasma edge and noninductive current drive (as opposed to only inductive current drive). The FED-A performance objectives are set to be : (1) ignition assuming International Tokamak Reactor (INTOR) plamsa confinement scaling, but still achieving a fusion power amplification Q greater than or equal to 5 when the confinement is degraded by a factor of 2; (2) neutron wall loading of about 1 MW/m 2 , with 0.5 MW/m 2 as a conservative lower bound; and (3) more clearly power-reactor-like operations, such as steady state

  15. Driving factors for the regional implementation of renewable energy ‐ A multiple case study on the German energy transition

    International Nuclear Information System (INIS)

    Lutz, Lotte Marie; Fischer, Lisa-Britt; Newig, Jens; Lang, Daniel Johannes

    2017-01-01

    Understanding what drives the regional implementation of renewable energy is a prerequisite for energy transitions toward a post-fossil-based energy economy. This paper presents an empirical analysis of driving factors for the regional implementation and use of renewable energy. We tested literature-derived driving factors in a comparative analysis of 18 selected study regions using Rough Set Analysis and performance analysis. We paid special attention to common combinations of driving factors, which we understand as established practices concerning the use and implementation of renewable energy. Our findings confirm most of the driving factors identified in the literature, for example the existence of key actors, knowledge exchange, or the use of goals and milestones. We also observe differences in key driving factors between highly successful and less successful regions, especially regarding funding opportunities. The results may support policy makers who aim to successfully implement renewable energy at a regional level. - Highlights: • We analyzed driving factors for RE implementation in 18 best-practice regions. • Most driving factors from transition and governance literature were confirmed. • We identified common successful practices concerning RE implementation.

  16. Studying Driving Risk Factors using Multi-Source Mobile Computing Data

    Directory of Open Access Journals (Sweden)

    Xianbiao Hu

    2015-09-01

    In this paper, the overall research framework used in this research is presented, which mainly includes data collection, data processing, calibration and analysis methodology. A preliminary case study — including data summary statistics and correlation analysis — is also presented. The results of our study will further existing knowledge about driving exposure factors that are closely linked to crash risk, and provide the foundation for advanced forms of Usage Based Insurance.

  17. FACTORS THAT DRIVE INTERNET USAGE AMONG SMALL AND MEDIUM SCALE ENTERPRISES: EVIDENCE FROM GHANA

    OpenAIRE

    Kwabena Obiri-Yeboah; Wilberforce Owusu-Ansah; Eliezer Ofori Odei-Lartey

    2013-01-01

    The internet continues to significantly affect the way business is carried out globally. As businesses of all sizes align information communication technology to its processes to achieve operational excellence while reducing cost, using the internet has become even more critical than ever. This study uses both quantitative and qualitative approaches to assess factors that drive the usage of internet as part of the business operations of small and medium-scale enterprises. The analysis compare...

  18. Development and interval testing of a naturalistic driving methodology to evaluate driving behavior in clinical research [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Ganesh M. Babulal

    2016-09-01

    Full Text Available Background: The number of older adults in the United States will double by 2056. Additionally, the number of licensed drivers will increase along with extended driving-life expectancy. Motor vehicle crashes are a leading cause of injury and death in older adults. Alzheimer’s disease (AD also negatively impacts driving ability and increases crash risk. Conventional methods to evaluate driving ability are limited in predicting decline among older adults. Innovations in GPS hardware and software can monitor driving behavior in the actual environments people drive in. Commercial off-the-shelf (COTS devices are affordable, easy to install and capture large volumes of data in real-time. However, adapting these methodologies for research can be challenging. This study sought to adapt a COTS device and determine an interval that produced accurate data on the actual route driven for use in future studies involving older adults with and without AD.  Methods: Three subjects drove a single course in different vehicles at different intervals (30, 60 and 120 seconds, at different times of day, morning (9:00-11:59AM, afternoon (2:00-5:00PM and night (7:00-10pm. The nine datasets were examined to determine the optimal collection interval. Results: Compared to the 120-second and 60-second intervals, the 30-second interval was optimal in capturing the actual route driven along with the lowest number of incorrect paths and affordability weighing considerations for data storage and curation. Discussion: Use of COTS devices offers minimal installation efforts, unobtrusive monitoring and discreet data extraction.  However, these devices require strict protocols and controlled testing for adoption into research paradigms.  After reliability and validity testing, these devices may provide valuable insight into daily driving behaviors and intraindividual change over time for populations of older adults with and without AD.  Data can be aggregated over time to look

  19. The Sweet Drive Test: Refining phenotypic characterization of anhedonic behavior in rodents

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    António eMateus-Pinheiro

    2014-03-01

    Full Text Available Measuring anhedonic behavior in rodents is a challenging task as current methods display only moderate sensitivity to detect anhedonic phenotype and, consequently, results from different labs are frequently incongruent. Herein we present a newly-developed test, the Sweet Drive Test (SDT, which integrates food preference measurement in a non-aversive environment, with ultrasonic vocalizations (USVs recording. Animals were placed in a soundproofed black arena, under red light illumination, and allowed to choose between regular and sweet food pellets. During the test trials, 50 KHz ultrasonic vocalizations, previously described to be associated with positive experiences, were recorded. In a first experimental approach, we demonstrate the ability of SDT to accurately characterize anhedonic behavior in animals chronically exposed to stress. In a subsequent set of experiments, we show that this paradigm has high sensitivity to detect mood-improving effects of antidepressants. The combined analysis of both food preference and the number of 50 KHz vocalizations in the SDT provides also a valuable tool to discriminate animals that responded to treatment from non-responder animals.

  20. Marijuana Use and Driving Under the Influence among Young Adults: A Socioecological Perspective on Risk Factors.

    Science.gov (United States)

    Berg, Carla J; Daniel, Carmen N; Vu, Milkie; Li, Jingjing; Martin, Kathleen; Le, Lana

    2018-02-23

    Given increases in marijuana use and driving under the influence (DUI), it is critical to identify those at risk in order to inform intervention efforts. We used a socioecological framework to examine correlates of level of marijuana use and DUI in the past month among young adult marijuana users. We recruited 1567 participants aged 18-34 years via Facebook ads targeting tobacco and marijuana users in August 2014 to complete an online survey assessing marijuana use and DUI, as well as related multilevel factors. Analyses focused on 649 participants reporting past 30-day marijuana use. The sample was an average age of 24.48 (SD = 5.10), 43.9% female, and 76.4% White and used marijuana an average of 17.86 (SD = 11.29) days in the past month. Notably, 48.4% reported driving after marijuana use at least once in the past month, and 74.0% were passengers. Multivariable regression indicated that greater use was associated with: being older; being male; greater symptoms of dependence; residing in a state with recreational marijuana legalized; having a medical marijuana card; having parents and more friends who use; higher coping motives; lower perceived harm to health; and less concern about driving after marijuana use (adjusted R-squared = 0.294). Correlates of driving after using marijuana in the past month included: being younger; more frequent use; having more friends who use; higher enhancement motives; and less concern about driving after using (Nagelkerke R-squared = 0.442). Conclusions/Importance: Interventions and campaigns should address social norms and risk perceptions regarding marijuana use, particularly as it relates to DUI.

  1. Lessons learned from evaluating Maryland's anti-drunk driving campaign: assessing the evidence for cognitive, behavioral, and public health impact.

    Science.gov (United States)

    Beck, Kenneth H

    2009-07-01

    The evidence concerning Maryland's anti-drunk driving program, Checkpoint Strikeforce, is reviewed. To date, there is no evidence to indicate that this campaign, which involves a number of sobriety checkpoints and media activities to promote these efforts, has had any impact on public perceptions, driver behaviors, or alcohol-related motor vehicle crashes and injuries. This conclusion is drawn after examining statistics for alcohol-related crashes, police citations for impaired driving, and public perceptions of alcohol-impaired driving risk. Comparisons are also made with other states in the mid-Atlantic region, where similar campaign activities have occurred. Reasons for this failure in Maryland include insufficient levels of enforcement (e.g., too few sobriety checkpoints and vehicle contacts occurred to raise public perceptions of risk pertaining to impaired driving) and inadequate publicity surrounding this campaign. Suggestions for overcoming these problems are offered.

  2. Investigating the role of behavioral factors in non-fatal accidents of urban and suburban driver

    Directory of Open Access Journals (Sweden)

    P. Azad

    2015-09-01

    Full Text Available Introduction: Road accidents are of the most important events, which cause death and injury of a large number of people and impose huge economic losses. According to previous studies, human factors are the main cause of traffic accidents. The purpose of this study was to investigate the role of behavioral factors in driving-related non-fatal accidents. Material and Method: The present analytical study was carried out among 150 drivers of urban and suburban transportation system in Yazd province. The research tool was Driver Behavior Questionnaire (DBQ which is consisted of two sections: demographic information and driving behavior. Result: 83/9 % of the participants reported to use safety belt nearly always. The highest deliberate violations, slips, and mistakes were belonged to drivers with age group of 18-25. Moreover, deliberate violations had a significant relationship with rage (P < 0.05. Survey of behavioral factors in terms of vehicle ownership type showed that “deliberate violations” and “slips and mistakes” high among personal bus drivers and state-owned bus drivers, respectively, which shows the significant association between these behavioral factors and ownership type. What is more, rates of deliberate and unintentional violations and slips were higher among those with a history of two times incidents (P < 0.004. Conclusion: The results revealed that behavioral factors such as age, type of vehicle ownership, and accident history played a significant role in occurrence of traffic accidents.

  3. Road transport-related energy consumption: Analysis of driving factors in Tunisia

    International Nuclear Information System (INIS)

    Mraihi, Rafaa; Abdallah, Khaled ben; Abid, Mehdi

    2013-01-01

    The rapid growth of urban population and the development of road infrastructures in Tunisian cities have brought about many environmental and economic problems, including the rise scored in energy consumption and the increase in the quantity of gas emissions arising from road transport. Despite the critical nature of such problems, no policies have yet been adopted to improve energy efficiency in the transport sector. This paper aims to determine driving factors of energy consumption change for the road mode. It uses decomposition analysis to discuss the effects of economic, demographic and urban factors on the evolution of transport energy consumption. The main result highlighted in the present work is that vehicle fuel intensity, vehicle intensity, GDP per capita, urbanized kilometers and national road network are found to be the main drivers of energy consumption change in the road transport sector during 1990–2006 period. Consequently, several strategies can be elaborated to reduce road transport energy. Economic, fiscal and regulatory instruments can be applied in order to make road transport more sustainable. -- Highlights: •We are interested in determining driving factors of transport energy consumption growth in Tunisia. •We use decomposition analysis approach. •Vehicle fuel and road vehicle intensities are found to be principal factors. •Motorization and urbanization are also found to be responsible

  4. Dad, may I have the keys? Factors influencing which vehicles teenagers drive.

    Science.gov (United States)

    Rivara, F P; Rivara, M B; Bartol, K

    1998-11-01

    To determine the role of vehicle safety features, particularly vehicle size and weight, compared with other factors in parental decisions about choosing vehicles for teens to drive. Written questionnaire to parents of teenagers attending drivers education training. The response rate to the survey was 62.6%. Two thirds reported that the teen would drive an existing family vehicle, 10.5% would buy an additional vehicle, and 20.3% would buy another vehicle as well as have the teen drive an existing family vehicle. Large size was important to only approximately 40% of families purchasing a car for the teen or families in which the teen would use an existing family vehicle. Gas mileage and other safety features were ranked as more important even in families in which a large car was available in the household. Families did not rank vehicle size and weight as important as other, less effective safety features in choosing cars for their teens. Information about vehicle crash-worthiness should be incorporated into drivers education and other programs reaching new teen drivers and their families.

  5. Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies.

    Directory of Open Access Journals (Sweden)

    Oscar Oviedo-Trespalacios

    Full Text Available Distracted driving is one of the most significant human factor issues in transport safety. Mobile phone interactions while driving may involve a multitude of cognitive and physical resources that result in inferior driving performance and reduced safety margins. The current study investigates characteristics of usage, risk factors, compensatory strategies in use and characteristics of high-frequency offenders of mobile phone use while driving. A series of questions were administered to drivers in Queensland (Australia using an on-line questionnaire. A total of 484 drivers (34.9% males and 49.8% aged 17-25 participated anonymously. At least one of every two motorists surveyed reported engaging in distracted driving. Drivers were unable to acknowledge the increased crash risk associated with answering and locating a ringing phone in contrast to other tasks such as texting/browsing. Attitudes towards mobile phone usage were more favourable for talking than texting or browsing. Lowering the driving speed and increasing the distance from the vehicle in front were the most popular task-management strategies for talking and texting/browsing while driving. On the other hand, keeping the mobile phone low (e.g. in the driver's lap or on the passenger seat was the favourite strategy used by drivers to avoid police fines for both talking and texting/browsing. Logistic regression models were fitted to understand differences in risk factors for engaging in mobile phone conversations and browsing/texting while driving. For both tasks, exposure to driving, driving experience, driving history (offences and crashes, and attitudes were significant predictors. Future mobile phone prevention efforts would benefit from development of safe attitudes and increasing risk literacy. Enforcement of mobile phone distraction should be re-engineered, as the use of task-management strategies to evade police enforcement seems to dilute its effect on the prevention of this

  6. Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies.

    Science.gov (United States)

    Oviedo-Trespalacios, Oscar; King, Mark; Haque, Md Mazharul; Washington, Simon

    2017-01-01

    Distracted driving is one of the most significant human factor issues in transport safety. Mobile phone interactions while driving may involve a multitude of cognitive and physical resources that result in inferior driving performance and reduced safety margins. The current study investigates characteristics of usage, risk factors, compensatory strategies in use and characteristics of high-frequency offenders of mobile phone use while driving. A series of questions were administered to drivers in Queensland (Australia) using an on-line questionnaire. A total of 484 drivers (34.9% males and 49.8% aged 17-25) participated anonymously. At least one of every two motorists surveyed reported engaging in distracted driving. Drivers were unable to acknowledge the increased crash risk associated with answering and locating a ringing phone in contrast to other tasks such as texting/browsing. Attitudes towards mobile phone usage were more favourable for talking than texting or browsing. Lowering the driving speed and increasing the distance from the vehicle in front were the most popular task-management strategies for talking and texting/browsing while driving. On the other hand, keeping the mobile phone low (e.g. in the driver's lap or on the passenger seat) was the favourite strategy used by drivers to avoid police fines for both talking and texting/browsing. Logistic regression models were fitted to understand differences in risk factors for engaging in mobile phone conversations and browsing/texting while driving. For both tasks, exposure to driving, driving experience, driving history (offences and crashes), and attitudes were significant predictors. Future mobile phone prevention efforts would benefit from development of safe attitudes and increasing risk literacy. Enforcement of mobile phone distraction should be re-engineered, as the use of task-management strategies to evade police enforcement seems to dilute its effect on the prevention of this behaviour. Some

  7. Self-Excited Single-Stage Power Factor Correction Driving Circuit for LED Lighting

    Directory of Open Access Journals (Sweden)

    Yong-Nong Chang

    2014-01-01

    Full Text Available This pa\tper proposes a self-excited single-stage high power factor LED lighting driving circuit. Being featured with power factor correction capability without needing any control devices, the proposed circuit structure is with low cost and suitable for commercial production. The power factor correction function is accomplished by using inductor in combination with a half-bridge quasi resonant converter to achieve active switching and yield out voltage regulation according to load requirement. Furthermore, the zero-voltage switching in the half-bridge converter can be attained to promote the overall performance efficiency of the proposed circuit. Finally, the validity and production availability of the proposed circuit will be verified as well.

  8. Competition as an Effective Tool in Developing Social Marketing Programs: Driving Behavior Change through Online Activities

    Directory of Open Access Journals (Sweden)

    Corina ŞERBAN

    2011-12-01

    Full Text Available Nowadays, social marketing practices represent an important part of people’s lives. Consumers’ understanding of the need for change has become the top priority for social organizations worldwide. As a result, the number of social marketing programs has increased, making people reflect more on their behaviors and on the need to take action. Competition in social marketing can bring many benefits. The more programs initiated, the more people will start to involve in society’s problems, hereby contributing to beneficial causes. However, social organizations are in the search for competitive advantages to differentiate them on the market. This paper aims to present the role of online communication in driving competitive advantage for social organizations. Using the structural equation model, the paper describes the relations between four characteristics of the online communication: credibility, attractiveness, persuasion and promotion and then presents the correlations between these variables and website competitiveness. The resulting model shows that owning a competitive advantage in social marketing can bring many advantages to both the non-profit organization and the consumer. Therefore, the online environment can be considered a good solution for better serving consumers’ social needs. Its contribution is significant especially in programs for children and adolescents, since teenagers spend more time on the Internet than adults and are more open to using the online channels of communication. In conclusion, this article opens new opportunities for social marketers to address society’s problems and supports the integration of the online communication tools in the competition strategy.

  9. Do drives drive the train of thought?-Effects of hunger and sexual arousal on mind-wandering behavior.

    Science.gov (United States)

    Rummel, Jan; Nied, Laura

    2017-10-01

    Physiological needs that are currently unfulfilled are known to affect human cognition and behavior. The present study investigates whether and how the temporary activation of two primary physiological needs, namely hunger and sexual arousal, influence both the frequency and the contents of mind-wandering episodes. To induce hunger, one group of participants fasted for a minimum of five hours whereas another group of participants was exposed to audio material with explicit sexual content to provoke sexual arousal. Both groups as well as an additional control group, which had not received hunger instructions and had not been exposed to arousing material of any kind beforehand, performed a reading task during which mind wandering was assessed using a standard experience-sampling method. Results showed that acute hunger but not elevated sexual arousal renders the occurrence of mind-wandering episodes more likely. Induction of both hunger and sexual arousal rendered the occurrence of need-related off-task thoughts more likely and changed time orientations of mind wandering. The present findings are well in line with the assumption that unfulfilled needs regularly achieve cognitive priority and extend the cognitive-priority idea to self-generated thoughts. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. A comparison of the combined-use of alcohol & energy drinks to alcohol-only on high-risk drinking and driving behaviors.

    Science.gov (United States)

    Woolsey, Conrad L; Jacobson, Bert H; Williams, Ronald D; Barry, Adam E; Davidson, Robert T; Evans, Marion W; Beck, Niels C

    2015-01-01

    The combined-use of alcohol and energy drinks is an emerging public health issue. This investigation examined differences in drinking and driving behaviors among combined-users (CU) and participants who consumed alcohol-only (AO). This study was specifically designed to investigate potential differences in drinker's perceptions of (a) what it means to them to drive over the .08 Blood Alcohol Content (BAC) driving limit and (b) what it means to drive after knowing they have had too much to drink to drive safely. College students (N = 355) were surveyed to assess differences in drinking and driving-related behaviors between the AO (n = 174) and CU (n = 107) groups. CU were more likely than AO to drive over the .08 BAC driving limit (53% vs. 38%; p = .009) and after knowing they were too drunk to drive (57% vs. 44%; p = .025). CU were also more likely (56% vs. 35%; p = .000) to ride with an intoxicated driver while knowing it was unsafe. Conclusions/Importance: Combined-users are more likely to drive after drinking, drive while knowingly drunk, and participate in other high-risk behaviors such as heavy drinking that increase the potential for injury. Public policy makers and health professionals should focus prevention efforts to reduce high-risk combined-use behavior.

  11. Investigating the influence of threat appraisals and social support on healthy eating behavior and drive for thinness.

    Science.gov (United States)

    McKinley, Christopher J

    2009-12-01

    This study examined the relationship between perceived obesity threats, social support, and college students' eating attitudes and behaviors. Results showed that perceived vulnerability to obesity negatively predicted healthy eating behavior. In addition, the perceived severity of obesity-related health problems positively predicted women's drive for thinness. Social support played a significant role in explaining health behaviors. Specifically, appraisal by others indirectly predicted college students' healthy eating behavior through increased self-efficacy. Among women, informational support moderated the relationships between both vulnerability and severity on healthy eating behavior. At low levels of support, vulnerability and severity negatively predicted students' healthy eating behavior. Overall, results suggest that messages designed to increase perceived vulnerability and severity may be detrimental when trying to improve people's dietary habits; however, among women certain types of social support may buffer the defensive responses resulting from obesity threats.

  12. Beyond job security and money: driving factors of motivation for government doctors in India.

    Science.gov (United States)

    Purohit, Bhaskar; Bandyopadhyay, Tathagata

    2014-02-21

    Despite many efforts from government to address the shortage of medical officers (MOs) in rural areas, rural health centres continue to suffer from severe shortage of MOs. Lack of motivation to join and continue service in rural areas is a major reason for such shortage. In the present study, we aimed to assess and rank the driving factors of motivation important for in-service MOs in their current job. The study participants included ninety two in-service government MOs from three states in India. The study participants were required to rank 14 factors of motivation important for them in their current job. The factors for the study were selected using Herzberg's two-factor theory of motivation and the data were collected using an instrument that has an established reliability and validity. Test of Kendall's coefficient of concordance (W) was carried out to assess the agreement in ranks assigned by participants to various motivation factors. Next, we studied the distributions of ranks of different motivating factors using standard descriptive statistics and box plots, which gave us interesting insights into the strength of agreement of the MOs in assigning ranks to various factors. And finally to assess whether MOs are more intrinsically motivated or extrinsically motivated, we used Kolmogorov-Smirnov test. The (W) test indicated statistically significant (P job security was the most important factor related to motivation, closely followed by interesting work and respect and recognition. Among the top five preferred factors, three were intrinsic factors indicating a great importance given by MOs to factors beyond money and job security. To address the issue of motivation, the health departments need to pay close attention to devising management strategies that address not only extrinsic but also intrinsic factors of motivation. The study results may be useful to understand the complicated issue of work motivation and can give some useful insights to design

  13. Variation Trend and Driving Factors of Greenhouse Gas Emissions from Chinese Magnesium Production.

    Science.gov (United States)

    Gao, Feng; Liu, Yu; Nie, Zuo-Ren; Gong, Xianzheng; Wang, Zhihong

    2015-11-03

    As the largest magnesium producer in the world, China is facing a great challenge of greenhouse gas (GHG) emissions reduction. In this paper, the variation trend and driving factors of GHG emissions from Chinese magnesium production were evaluated and the measures of technology and policy for effectively mitigating GHG emissions were provided. First, the energy-related and process-oriented GHG inventory is compiled for magnesium production in China. Then, the driving forces for the changes of the energy-related emission were analyzed by the method of Logarithmic Mean Divisia Index (LMDI) decomposition. Results demonstrated that Chinese magnesium output from 2003 to 2013 increased by 125%, whereas GHG emissions only increased by 16%. The emissions caused by the fuels consumption decline most significantly (from 28.4 to 6.6 t CO2eq/t Mg) among all the emission sources. The energy intensity and the energy structure were the main offsetting factors for the increase of GHG emissions, while the scale of production and the international market demand were the main contributors for the total increase. Considering the improvement of technology application and more stringent policy measures, the annual GHG emissions from Chinese primary magnesium production will be controlled within 22 million tons by 2020.

  14. Temporal-spatial variations and driving factors analysis of coastal reclamation in China

    Science.gov (United States)

    Meng, Weiqing; Hu, Beibei; He, Mengxuan; Liu, Baiqiao; Mo, Xunqiang; Li, Hongyuan; Wang, Zhongliang; Zhang, Yu

    2017-05-01

    Coastal reclamation is the gain of land from the sea or coastal wetlands for agricultural purposes, industrial use or port expansions. Large-scale coastal land reclamation can have adverse effects on the coastal environment, including loss of marine habitats and deterioration of coastal water quality. In recent decades, coastal land reclamation has occurred extensively to meet the increasing needs of rapid economic development and urbanization in China. The overall objective of this study is to understand the coastal reclamation status of China from 1979 to 2014 and analyzed its driving factors for mitigating negative ecological effects. The data of coastal reclamation were done with the ERDAS Imagine V9.2 platform and ArcGIS software based on remote images including Landsat, SPOT, ZY-2 and ZY-3. Potential driving factors for sea reclamation were selected based on statistics bulletins and the knowledge of experts in coastal management. In order to understand the relationships among possible impact factors and coastal reclamation, the Partial Least-Squares Regression models was constructed. The analysis results indicated that the total area of reclamation was 11162.89 km2 based on remote sensing images between 1979 and 2014. Shandong Province is the largest reclamation area, reaching 2736.54 km2, and the reclamation is mainly concentrated in Zhejiang, Jiangsu and Liaoning, where the reclamation areas were all more than 1000 km2. According to the remote sensing images, there are three coastal reclamation hotspot regions including Bohai bay (in which is located Liaoning, Tianjin and Hebei), Jiangsu province coastal area and Hangzhou bay (in Zhejiang province). A large scale land reclamation plan of more than 5880 km2 has been made by local government and 2469 km2 has approved by the State Council. From the analyzed results, there is a significant collinearity between these indicators, and no significant correlation between the area of reclamation and selected

  15. Energy Efficiency and Its Driving Factors in China’s Three Economic Regions

    Directory of Open Access Journals (Sweden)

    Sheng-An Shi

    2017-11-01

    Full Text Available Energy efficiency improvement is essential for China’s sustainable development of its social economy. Based on the provincial panel data of China’s three economic regions from 1990 to 2013, this research uses the data envelopment analysis (DEA model to measure the total-factor energy efficiency, and the Tobit regression model to explore the driving factors of efficiency changes. Empirical results show: (1 Energy efficiency, energy consumption structure, and government fiscal scale are significantly positively correlated. (2 Industrial structure and per capita income level have negative correlation to energy efficiency; the impact of industrial structure on energy efficiency is relatively small. (3 The increase of carbon dioxide emissions will decrease the energy efficiency. Furthermore, with people becoming less conscious of energy conservation and emission reduction, energy efficiency will also decrease. (4 Specific energy policies will improve energy efficiency, and greater openness in coastal areas will also have the similar effect.

  16. Research on carbon emission driving factors of China’s provincial construction industry

    Science.gov (United States)

    Shang, Mei; Dong, Rui; Fu, Yujie; Hao, Wentao

    2018-03-01

    As a pillar industry of the national economy, the damage to the environment by construction industry can not be ignored. In the context of low carbon development, identifying the main driving factors for the carbon emission of the provincial construction industry are the key for the local government to formulate the development strategy for construction. In the paper, based on the Kaya factor decomposition method, the carbon intensity of the energy structure, energy intensity and the impact of the construction output on the carbon emission of provincial construction industry are studied, and relevant suggestions for low carbon development of provincial construction industry are proposed. The conclusion of this paper provides a theoretical basis for the early realization of low-carbon development in China’s provincial construction industry.

  17. Driver support and automated driving systems : Acceptance and effects on behavior

    NARCIS (Netherlands)

    De Waard, D.; Brookhuis, K.A.; Scerbo, MW; Mouloua, M

    1999-01-01

    Automation in driving ranges from simple in-vehicle information systems to completely automated driving in the Automated Highway System (AHS). An increased level of automation and increased restriction in behavioural freedom, as well as decreased control over tasks, have serious consequences for

  18. Behavioral reactions to advanced cruise control: results of a driving simulator experiment

    NARCIS (Netherlands)

    Hoedemaeker, D.M.

    2000-01-01

    This chapter describes an experimental study that is conducted in the driving simulator at the Centre for Environmental and Traffic Psychology (COV) of the University of Groningen. In the experiment, two groups of drivers, who differed with respect to reported driving style in terms of speed, drove

  19. Climatic factors driving vegetation declines in the 2005 and 2010 Amazon droughts.

    Directory of Open Access Journals (Sweden)

    Wenqian Zhao

    Full Text Available Along with global climate change, the occurrence of extreme droughts in recent years has had a serious impact on the Amazon region. Current studies on the driving factors of the 2005 and 2010 Amazon droughts has focused on the influence of precipitation, whereas the impacts of temperature and radiation have received less attention. This study aims to explore the climate-driven factors of Amazonian vegetation decline during the extreme droughts using vegetation index, precipitation, temperature and radiation datasets. First, time-lag effects of Amazonian vegetation responses to precipitation, radiation and temperature were analyzed. Then, a multiple linear regression model was established to estimate the contributions of climatic factors to vegetation greenness, from which the dominant climate-driving factors were determined. Finally, the climate-driven factors of Amazonian vegetation greenness decline during the 2005 and 2010 extreme droughts were explored. The results showed that (i in the Amazon vegetation greenness responded to precipitation, radiation and temperature, with apparent time lags for most averaging interval periods associated with vegetation index responses of 0-4, 0-9 and 0-6 months, respectively; (ii on average, the three climatic factors without time lags explained 27.28±21.73% (mean±1 SD of vegetation index variation in the Amazon basin, and this value increased by 12.22% and reached 39.50±27.85% when time lags were considered; (iii vegetation greenness in this region in non-drought years was primarily affected by precipitation and shortwave radiation, and these two factors altogether accounted for 93.47% of the total explanation; and (iv in the common epicenter of the two droughts, pixels with a significant variation in precipitation, radiation and temperature accounted for 36.68%, 40.07% and 10.40%, respectively, of all pixels showing a significant decrease in vegetation index in 2005, and 15.69%, 2.01% and 45.25% in

  20. Behavioral Economic Factors Related to Pediatric Obesity

    Science.gov (United States)

    Greenwald, Mark K.

    2016-01-01

    Summary The field of behavioral economics suggests that food and activity choices are governed by costs, available alternatives, and reinforcement. Here, we review basic and translational research using a behavioral economic (BE) framework with overweight or obese children up to age 18. We address BE concepts and methods, discuss developmental issues, the continuum of BE intervention approaches, findings of studies focused on increasing the cost of unwanted behaviors (i.e., energy-dense food intake and sedentary behavior) and decreasing the cost of desired behaviors (i.e., healthy food intake and PA), and our team's recent basic behavioral studies using BE approaches with minority adolescents. PMID:27261543

  1. Assessment of behavior factor of eccentrically braced frame with ...

    African Journals Online (AJOL)

    Assessment of behavior factor of eccentrically braced frame with vertical link in cyclic loading. ... Journal of Fundamental and Applied Sciences ... In order to understand the behavior of these structures using non-linear static and dynamic analysis of building's behavior factor, eccentric and exocentric systems were calculated ...

  2. The relationship between trait anxiety and driving behavior with regard to self-reported Iranian accident involving drivers

    Directory of Open Access Journals (Sweden)

    Siamak Pourabdian

    2013-01-01

    Conclusions: It can be concluded from the results (according to the relation between TA with error and lapses factor that the rate of TA is destructive effective on the memory performance and process in the drivers and cause absent minded and memory imperfect function and process in these people during the driving.

  3. Risk Factors for first time Drink-Driving Convictions among Young Males

    DEFF Research Database (Denmark)

    Christoffersen, Mogens; Soothill, Keith; Francis, Brian

    2008-01-01

    -driving conviction increased substantially in rural areas compared to metropolitan areas. The study concludes that disadvantages during adolescence, including parental substance abuse, having a teenage mother, and domestic violence, are associated with a first-time drink-driving conviction....

  4. What Factors Affect Health Seeking Behavior?

    African Journals Online (AJOL)

    action undertaken by individuals who perceive themselves to have a health problem or to be ill for the purpose of ... health behavior theories: 1. The Health Belief Model where the concept is the 'perceived ... Montaño DE, Kasprzyk D. Theory of reasoned action, theory of planned behavior, and the integrated behavioral ...

  5. Antihistamines and driving-related behavior : a review of the evidence for impairment

    Science.gov (United States)

    2004-05-01

    A review of the scientific literature concerning the effects of antihistamines on driving-related skills was conducted. After reviewing all pertinent publications from 1998 and earlier, a total of 130 publications were found to meet criteria for incl...

  6. Wrong-way driving crashes: A multiple correspondence approach to identify contributing factors.

    Science.gov (United States)

    Jalayer, Mohammad; Pour-Rouholamin, Mahdi; Zhou, Huaguo

    2018-01-02

    Wrong-way driving (WWD) crashes result in 1.34 fatalities per fatal crash, whereas for other non-WWD fatal crashes this number drops to 1.10. As such, further in-depth investigation of WWD crashes is necessary. The objective of this study is 2-fold: to identify the characteristics that best describe WWD crashes and to verify the factors associated with WWD occurrence. We collected and analyzed 15 years of crash data from the states of Illinois and Alabama. The final data set includes 398 WWD crashes. The rarity of WWD events and the consequently small sample size of the crash database significantly influence the application of conventional log-linear models in analyzing the data, because they use maximum-likelihood estimation. To overcome this issue, in this study, we employ multiple correspondence analysis (MCA) to define the structure of the crash data set and identify the significant contributing factors to WWD crashes on freeways. The results of the present study specify various factors that characterize and influence the probability of WWD crashes and can thus lead to the development of several safety countermeasures and recommendations. According to the obtained results, factors such as driver age, driver condition, roadway surface conditions, and lighting conditions were among the most significant contributors to WWD crashes. Despite many other methods that identify only the contributing factors, this method can identify possible associations between various contributing factors. This is an inherent advantage of the MCA method, which can provide a major opportunity for state departments of transportation (DOTs) to select safety countermeasures that are associated with multiple safety benefits.

  7. Ecological Consumer Behavior – Influencial Factors -

    OpenAIRE

    Oboroceanu (Popa) Anda; Manea Ioana Livia

    2011-01-01

    The study of the consumer behavior is a complex task because it is possible to analyze it from different points of view. So, if we investigate the ecological consumer behavior we realize that it is also difficult to establish the limits that clearly define the profile of a consumer who acts in an environmentally friendly manner. Consequently, the measurement, the conceptual delimitation of this behavior and the identification of the ecological segment in the market are essential aspects for t...

  8. Predictors of Long-Term Risky Driving Behavior in the Multimodal Treatment Study of Children with Attention-Deficit/Hyperactivity Disorder.

    Science.gov (United States)

    Johnson, Jessica A; Jakubovski, Ewgeni; Reed, Margot O; Bloch, Michael H

    2017-10-01

    This study examines predictors of later risky driving behavior in children with attention-deficit/hyperactivity disorder (ADHD). Stepwise logistic regression and receiver operating characteristic (ROC) analysis were used to explore baseline predictors of risky driving behavior for adolescents who completed the 8-year follow-up assessment in the Multimodal Treatment Study of Children with Attention-Deficit/Hyperactivity Disorder (MTA). Stepwise logistic regression analysis explained 19% of the total variance in risky driving behavior. Increased likelihood of risky driving behavior was associated with parental history of conduct disorder, low parental monitoring and supervision, and increased age. ROC analysis identified discriminative predictors for adolescents older and younger than 16 years of age at follow-up. The most discriminative predictors of later risky driving behavior were parental stress at baseline (for children 16 years or older) and increased child-rated parental protectiveness (for children less than 16 years old). Risky driving behavior was significantly predicted by baseline characteristics for the MTA cohort. Aspects of parenting behavior (or the child's perception of them), including parental stress levels, parental protectiveness, and parental levels of monitoring and supervision, were most informative in predicting these outcomes. Our results suggest that interventions to reduce high-risk behaviors in these high-risk children with ADHD might involve targeted parenting interventions.

  9. A brief peripheral motion contrast threshold test predicts older drivers' hazardous behaviors in simulated driving.

    Science.gov (United States)

    Henderson, Steven; Woods-Fry, Heather; Collin, Charles A; Gagnon, Sylvain; Voloaca, Misha; Grant, John; Rosenthal, Ted; Allen, Wade

    2015-05-01

    Our research group has previously demonstrated that the peripheral motion contrast threshold (PMCT) test predicts older drivers' self-report accident risk, as well as simulated driving performance. However, the PMCT is too lengthy to be a part of a battery of tests to assess fitness to drive. Therefore, we have developed a new version of this test, which takes under two minutes to administer. We assessed the motion contrast thresholds of 24 younger drivers (19-32) and 25 older drivers (65-83) with both the PMCT-10min and the PMCT-2min test and investigated if thresholds were associated with measures of simulated driving performance. Younger participants had significantly lower motion contrast thresholds than older participants and there were no significant correlations between younger participants' thresholds and any measures of driving performance. The PMCT-10min and the PMCT-2min thresholds of older drivers' predicted simulated crash risk, as well as the minimum distance of approach to all hazards. This suggests that our tests of motion processing can help predict the risk of collision or near collision in older drivers. Thresholds were also correlated with the total lane deviation time, suggesting a deficiency in processing of peripheral flow and delayed detection of adjacent cars. The PMCT-2min is an improved version of a previously validated test, and it has the potential to help assess older drivers' fitness to drive. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies

    Science.gov (United States)

    King, Mark; Haque, Md. Mazharul; Washington, Simon

    2017-01-01

    Distracted driving is one of the most significant human factor issues in transport safety. Mobile phone interactions while driving may involve a multitude of cognitive and physical resources that result in inferior driving performance and reduced safety margins. The current study investigates characteristics of usage, risk factors, compensatory strategies in use and characteristics of high-frequency offenders of mobile phone use while driving. A series of questions were administered to drivers in Queensland (Australia) using an on-line questionnaire. A total of 484 drivers (34.9% males and 49.8% aged 17–25) participated anonymously. At least one of every two motorists surveyed reported engaging in distracted driving. Drivers were unable to acknowledge the increased crash risk associated with answering and locating a ringing phone in contrast to other tasks such as texting/browsing. Attitudes towards mobile phone usage were more favourable for talking than texting or browsing. Lowering the driving speed and increasing the distance from the vehicle in front were the most popular task-management strategies for talking and texting/browsing while driving. On the other hand, keeping the mobile phone low (e.g. in the driver’s lap or on the passenger seat) was the favourite strategy used by drivers to avoid police fines for both talking and texting/browsing. Logistic regression models were fitted to understand differences in risk factors for engaging in mobile phone conversations and browsing/texting while driving. For both tasks, exposure to driving, driving experience, driving history (offences and crashes), and attitudes were significant predictors. Future mobile phone prevention efforts would benefit from development of safe attitudes and increasing risk literacy. Enforcement of mobile phone distraction should be re-engineered, as the use of task-management strategies to evade police enforcement seems to dilute its effect on the prevention of this behaviour. Some

  11. VRILLE Controls PDF Neuropeptide Accumulation and Arborization Rhythms in Small Ventrolateral Neurons to Drive Rhythmic Behavior in Drosophila.

    Science.gov (United States)

    Gunawardhana, Kushan L; Hardin, Paul E

    2017-11-20

    In Drosophila, the circadian clock is comprised of transcriptional feedback loops that control rhythmic gene expression responsible for daily rhythms in physiology, metabolism, and behavior. The core feedback loop, which employs CLOCK-CYCLE (CLK-CYC) activators and PERIOD-TIMELESS (PER-TIM) repressors to drive rhythmic transcription peaking at dusk, is required for circadian timekeeping and overt behavioral rhythms. CLK-CYC also activates an interlocked feedback loop, which uses the PAR DOMAIN PROTEIN 1ε (PDP1ε) activator and the VRILLE (VRI) repressor to drive rhythmic transcription peaking at dawn. Although Pdp1ε mutants disrupt activity rhythms without eliminating clock function, whether vri is required for clock function and/or output is not known. Using a conditionally inactivatable transgene to rescue vri developmental lethality, we show that clock function persists after vri inactivation but that activity rhythms are abolished. The inactivation of vri disrupts multiple output pathways thought to be important for activity rhythms, including PDF accumulation and arborization rhythms in the small ventrolateral neuron (sLN v ) dorsal projection. These results demonstrate that vri acts as a key regulator of clock output and suggest that the primary function of the interlocked feedback loop in Drosophila is to drive rhythmic transcription required for overt rhythms. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. A probabilistic analysis of the crystal oscillator behavior at low drive levels

    Science.gov (United States)

    Shmaliy, Yuriy S.; Brendel, Rémi

    2008-03-01

    The paper discusses a probabilistic model of a crystal oscillator at low drive levels where the noise intensity is comparable with the oscillation amplitude. The stationary probability density of the oscillations envelope is derived and investigated for the nonlinear resonator loses. A stochastic explanation is given for the well-known phenomenon termed sleeping sickness associated with losing a facility of self-excitation by a crystal oscillator after a long storage without a power supply. It is shown that, with low drive levels leading to an insufficient feedback, a crystal oscillator generates the noise-induced oscillations rather than it absolutely "falls in sleep".

  13. Driving factors of interactions between the exchange rate market and the commodity market: A wavelet-based complex network perspective

    Science.gov (United States)

    Wen, Shaobo; An, Haizhong; Chen, Zhihua; Liu, Xueyong

    2017-08-01

    In traditional econometrics, a time series must be in a stationary sequence. However, it usually shows time-varying fluctuations, and it remains a challenge to execute a multiscale analysis of the data and discover the topological characteristics of conduction in different scales. Wavelet analysis and complex networks in physical statistics have special advantages in solving these problems. We select the exchange rate variable from the Chinese market and the commodity price index variable from the world market as the time series of our study. We explore the driving factors behind the behavior of the two markets and their topological characteristics in three steps. First, we use the Kalman filter to find the optimal estimation of the relationship between the two markets. Second, wavelet analysis is used to extract the scales of the relationship that are driven by different frequency wavelets. Meanwhile, we search for the actual economic variables corresponding to different frequency wavelets. Finally, a complex network is used to search for the transfer characteristics of the combination of states driven by different frequency wavelets. The results show that statistical physics have a unique advantage over traditional econometrics. The Chinese market has time-varying impacts on the world market: it has greater influence when the world economy is stable and less influence in times of turmoil. The process of forming the state combination is random. Transitions between state combinations have a clustering feature. Based on these characteristics, we can effectively reduce the information burden on investors and correctly respond to the government's policy mix.

  14. Validity and Usability of a Safe Driving Behavior Measure for Older Adults

    Science.gov (United States)

    2012-10-15

    With the aging of the Baby Boomers and ensuing Gray Tsunami in Florida leading the USA, older : drivers who are unfit to drive must be identified. The gold standard on-road test is expensive, : sophisticated, not available to many older drivers, and ...

  15. Possession attachment predicts cell phone use while driving.

    Science.gov (United States)

    Weller, Joshua A; Shackleford, Crystal; Dieckmann, Nathan; Slovic, Paul

    2013-04-01

    Distracted driving has become an important public health concern. However, little is known about the predictors of this health-risking behavior. One overlooked risk factor for distracted driving is the perceived attachment that one feels toward his or her phone. Prior research has suggested that individuals develop bonds toward objects, and qualitative research suggests that the bond between young drivers and their phones can be strong. It follows that individuals who perceive a strong attachment to their phone would be more likely to use it, even when driving. In a nationally representative sample of young drivers (17-28 years), participants (n = 1,006) completed a survey about driving behaviors and phone use. Risk perception surrounding cell phone use while driving and perceived attachment to one's phone were assessed by administering factor-analytically derived scales that were created as part of a larger project. Attachment toward one's phone predicted the proportion of trips in which a participant reported using their cell phone while driving, beyond that accounted for by risk perception and overall phone use. Further, attachment predicted self-reported distracted driving behaviors, such as the use of social media while driving. Attachment to one's phone may be an important but overlooked risk factor for the engagement of potentially health-risking driving behaviors. Understanding that phone attachment may adversely affect driving behaviors has the potential to inform prevention and intervention efforts designed to reduce distracted driving behaviors, especially in young drivers. 2013 APA, all rights reserved

  16. Feasibility planning study for a behavior database. Volume III Appendix B, Compendium of survey questions on drinking and driving and occupant restraints

    Science.gov (United States)

    1987-04-01

    The general objective of the project was to determine the feasibility of and the general requirements for a centralized database on driver behavior and attitudes related to drunk driving and occupant restraints. Volume III is a compendium of question...

  17. Feasibility planning study for a behavior database. Volume 2 Appendix A, Summary information on the drinking and driving and occupant restraint surveys

    Science.gov (United States)

    1987-04-24

    The general objective of the project was to determine the feasibility of and the general requirements for a centralized database on driver behavior and attitudes related to drunk driving and occupant restraints. Volume I assesses the extent of pertin...

  18. Factors That Impact the Ethical Behavior of College Students

    Science.gov (United States)

    Joseph, Jacob; Berry, Kevin

    2010-01-01

    This study examines factors impacting ethical behavior of 182 college students in the midwestern and northwestern United States. Ethical behavior of peers had the most significant impact on ethical behavior of students. Success (in terms of grade point average) of students, and gender of the respondents, also significantly impacted ethical…

  19. Acoustic dose-behavioral response relationship in sea bass (Dicentrarchus labrax) exposed to playbacks of pile driving sounds.

    Science.gov (United States)

    Kastelein, Ronald A; Jennings, Nancy; Kommeren, Aimée; Helder-Hoek, Lean; Schop, Jessica

    2017-09-01

    The foundations of offshore wind turbines are attached to the sea bed by percussion pile driving. Pile driving sounds may affect the behavior of fish. Acoustic dose-behavioral response relationships were determined for sea bass in a pool exposed for 20 min to pile driving sounds at seven mean received root-mean-square sound pressure levels [SPLrms; range: 130-166 dB re 1 μPa; single strike sound exposure level (SEL ss ) range: 122-158; 6 dB steps]. Initial responses (sudden, short-lived changes in swimming speed and direction) and sustained responses (changes in school cohesion, swimming depth, and speed) were quantified. The 50% initial response threshold occurred at an SEL ss of 131 dB re 1 μPa 2  s for 31 cm fish and 141 dB re 1 μPa 2  s for 44 cm fish; the small fish thus reacted to lower SEL ss than the large fish. Analysis showed that there is no evidence, even at the highest sound level, for any consistent sustained response to sound exposure by the study animals. If wild sea bass are exposed to pile driving sounds at the levels used in the present study, there are unlikely to be any adverse effects on their ecology, because the initial responses after the onset of the piling sound observed in this study were short-lived. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. THE APPLICATION OF RTK-GPS AND STEER-BY-WIRE TECHNOLOGY TO THE AUTOMATIC DRIVING OF VEHICLES AND AN EVALUATION OF DRIVER BEHAVIOR

    Directory of Open Access Journals (Sweden)

    Manabu OMAE

    2006-01-01

    Full Text Available Automatic vehicle driving has long been the subject of research efforts designed to improve the safety and efficiency of automobile transportation. In recent years, increasingly sophisticated sensors and automobiles have brought automatic driving systems closer to reality. In this paper we describe an attempt to apply real-time kinematic GPS (RTK-GPS, a highly precise positioning system, and steer-by-wire body technology, which has advanced greatly in recent years, to automatic driving. In addition, we also describe the results of research into human factors related to automatic driving, which will become more and more important as automatic driving is put to practical use.

  1. How investor perceptions drive actual trading and risk-taking behavior

    NARCIS (Netherlands)

    Hoffmann, A.O.I.; Post, T.; Pennings, J.M.E.

    2015-01-01

    Recent work in behavioral finance showed how investors' perceptions (i.e., return expectations, risk tolerance, and risk perception) affect hypothetical trading and risk-taking behavior. However, are such perceptions also capable of explaining actual trading and risk-taking behavior? To answer this

  2. How Investor Perceptions Drive Actual Trading and Risk-Taking Behavior

    NARCIS (Netherlands)

    Hoffmann, A.O.I.; Post, T.; Pennings, J.M.E.

    2015-01-01

    Recent work in behavioral finance showed how investors’ perceptions (i.e., return expectations, risk tolerance, and risk perception) affect hypothetical trading and risk-taking behavior. However, are such perceptions also capable of explaining actual trading and risktaking behavior? To answer this

  3. Obstacle avoidance, visual detection performance, and eye-scanning behavior of glaucoma patients in a driving simulator: a preliminary study.

    Directory of Open Access Journals (Sweden)

    Rocío Prado Vega

    Full Text Available The objective of this study was to evaluate differences in driving performance, visual detection performance, and eye-scanning behavior between glaucoma patients and control participants without glaucoma. Glaucoma patients (n = 23 and control participants (n = 12 completed four 5-min driving sessions in a simulator. The participants were instructed to maintain the car in the right lane of a two-lane highway while their speed was automatically maintained at 100 km/h. Additional tasks per session were: Session 1: none, Session 2: verbalization of projected letters, Session 3: avoidance of static obstacles, and Session 4: combined letter verbalization and avoidance of static obstacles. Eye-scanning behavior was recorded with an eye-tracker. Results showed no statistically significant differences between patients and control participants for lane keeping, obstacle avoidance, and eye-scanning behavior. Steering activity, number of missed letters, and letter reaction time were significantly higher for glaucoma patients than for control participants. In conclusion, glaucoma patients were able to avoid objects and maintain a nominal lane keeping performance, but applied more steering input than control participants, and were more likely than control participants to miss peripherally projected stimuli. The eye-tracking results suggest that glaucoma patients did not use extra visual search to compensate for their visual field loss. Limitations of the study, such as small sample size, are discussed.

  4. Spore-killing meiotic drive factors in a natural population of the fungus Podospora anserina

    NARCIS (Netherlands)

    Gaag, van der M.; Debets, A.J.M.; Oosterhof, J.; Slakhorst, S.M.; Thijssen, J.A.G.M.; Hoekstra, R.F.

    2000-01-01

    In fungi, meiotic drive is observed as spore killing. In the secondarily homothallic ascomycete Podospora anserina it is characterized by the abortion of two of the four spores in the ascus. We have identified seven different types of meiotic drive elements (Spore killers). Among 99 isolates from

  5. Identification of Behavioral Risk Factors During Pregnancy

    Directory of Open Access Journals (Sweden)

    Ruţa Florina

    2015-06-01

    Full Text Available Exposure to smoking during pregnancy is known to be one of the main modifiable risk factors, which threatens maternal and child health. Along with this factor, are not to be neglected also other risk factors belonging to lifestyle sphere, such as alcohol, sedentary, irregular daily meal serving plan, lack of knowledge.

  6. Factors influencing quality of patient interaction at community pharmacy drive-through and walk-in counselling areas.

    Science.gov (United States)

    Odukoya, Olufunmilola K; Chui, Michelle A; Pu, Jia

    2014-08-01

    To examine factors influencing the amount of time and information pharmacy personnel provide to patients at drive-through and walk-in counselling areas. On-site observational data collection in 22 community pharmacies by pharmacy students. Information included observable patient characteristics such as gender, age range, English proficiency and mobility impairment; encounter characteristics included type of prescription and whether the patient was acknowledged; and counselling characteristics included types of counselling information conveyed and length of time for each encounter. Patient-pharmacist encounters were documented at the drive-through and walk-in counselling areas 961 and 1098 times respectively. Pharmacists spent less time, and technicians more time, with patients at the drive-through counselling area. The amount of information provided to patients was significantly affected by whether the patient was receiving new versus refill prescriptions. Patients with a new prescription were twice as likely to receive more information from pharmacy personnel. There was a significant difference between the amount of counselling provided to patients at the drive-through and walk-in counselling area (rate ratio (RR) 0.92, 95% confidence interval (CI): 0.86-1.00). Patients at the drive-through received a lower amount of information relative to patients using the walk-in. Amount of information provided to patients was affected by the level of pharmacy busyness (RR 0.96, 95% CI: 0.95-0.99). Providing patient care at the drive-through counselling area may negatively influence quality of patient care. To improve quality of pharmacy drive-through services, standardization of drive-through services in pharmacies may be needed. © 2013 Royal Pharmaceutical Society.

  7. COPTEM: A Model to Investigate the Factors Driving Crude Oil Pipeline Transportation Emissions.

    Science.gov (United States)

    Choquette-Levy, Nicolas; Zhong, Margaret; MacLean, Heather; Bergerson, Joule

    2018-01-02

    Previous transportation fuel life cycle assessment studies have not fully accounted for the full variability in the crude oil transport stage, for example, transporting a light crude through a high-diameter pipeline, vs transporting a heavy crude through a small-diameter pipeline. We develop a first-principles, fluid mechanics-based crude oil pipeline transportation emissions model (COPTEM) that calculates the greenhouse gas (GHG) emissions associated with pipeline transport as a function of crude oil parameters, pipeline dimensions, and external factors. Additionally, we estimate the emissions associated with the full life cycle of pipeline construction, maintenance, and disposal. This model is applied to an inventory of 62 major Canadian and U.S. pipelines (capacity greater than 100 000 barrels/day) to estimate the variability of GHG emissions associated with pipeline transportation. We demonstrate that pipeline GHG emissions intensities range from 0.23 to 20.3 g CO 2 e/(bbl·km), exhibiting considerably greater variability than data reported in other studies. A sensitivity analysis demonstrates that the linear velocity of crude transport and pipeline diameter are the most impactful parameters driving this variability. To illustrate one example of how COPTEM can be used, we develop an energy efficiency gap analysis to investigate the possibilities for more efficient pipeline transport of crude oil.

  8. Electrical stimulation drives chondrogenesis of mesenchymal stem cells in the absence of exogenous growth factors

    Science.gov (United States)

    Kwon, Hyuck Joon; Lee, Gyu Seok; Chun, Honggu

    2016-01-01

    Electrical stimulation (ES) is known to guide the development and regeneration of many tissues. However, although preclinical and clinical studies have demonstrated superior effects of ES on cartilage repair, the effects of ES on chondrogenesis remain elusive. Since mesenchyme stem cells (MSCs) have high therapeutic potential for cartilage regeneration, we investigated the actions of ES during chondrogenesis of MSCs. Herein, we demonstrate for the first time that ES enhances expression levels of chondrogenic markers, such as type II collagen, aggrecan, and Sox9, and decreases type I collagen levels, thereby inducing differentiation of MSCs into hyaline chondrogenic cells without the addition of exogenous growth factors. ES also induced MSC condensation and subsequent chondrogenesis by driving Ca2+/ATP oscillations, which are known to be essential for prechondrogenic condensation. In subsequent experiments, the effects of ES on ATP oscillations and chondrogenesis were dependent on extracellular ATP signaling via P2X4 receptors, and ES induced significant increases in TGF-β1 and BMP2 expression. However, the inhibition of TGF-β signaling blocked ES-driven condensation, whereas the inhibition of BMP signaling did not, indicating that TGF-β signaling but not BMP signaling mediates ES-driven condensation. These findings may contribute to the development of electrotherapeutic strategies for cartilage repair using MSCs. PMID:28004813

  9. [Eco-efficiency change and its driving factors in Tongling City of Anhui Province].

    Science.gov (United States)

    Wang, Yi-Chen; Wang, Yuan; Zhu, Xiao-Dong; Wu, Xiao-Qing; Wang, Ke; Ren, Ke-Xiu; Lu, Gen-Fa

    2011-02-01

    This paper first applied material flow analysis (MFA) to construct three levels of regional eco-efficiency indicators, i.e., regional direct eco-efficiency (RDE), regional total eco-efficiency (RTE), and holistic eco-efficiency (HE), and adopted the newly developed data envelopment analysis (DEA) to evaluate the eco-efficiency of Tongling City during the period of 1990-2008. We also applied Malmquist productivity index (MPI) to explore the eco-efficiency change between two following years and its driving factors. The main results were summarized as 1) though the RDE of Tongling City in 1990-2008 kept an increasing trend, its mean eco-efficiency was not high (close to 0.8 in 80% of the years), being lower than that of the RTE and HE, and 2) the RDE change was closely relevant to the improvement in resource management and the technical input in environmental protection in recent years. In order to further improve the RDE of the City, it would be necessary to raise its eco-efficiency via expanding raw material input, reducing domestic extraction, promoting resources productivity, and taking more measures on environmental protection facilities construction.

  10. Policies and Market Factors Driving Wind Power Development in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Bird, L.; Parsons, B.; Gagliano, T.; Brown, M.; Wiser, R.; Bolinger, M.

    2003-07-01

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24% annually during the past five years. With this growth, an increasing number of states are experiencing investment in wind energy. Wind installations currently exist in about half of all U.S. states. This paper explores the policies and market factors that have been driving utility-scale wind energy development in the United States, particularly in the states that have achieved a substantial amount of wind energy investment in recent years. Although there are federal policies and overarching market issues that are encouraging investment nationally, much of the recent activity has resulted from state-level policies or localized market drivers. In this paper, we identify the key policies, incentives, regulations, and markets affecting development, and draw lessons from the experience of leading states that may be transferable to other states or regions. We provide detailed discussions of the drivers for wind development in a dozen leading states-California, Colorado, Iowa, Kansas, Minnesota, New York, Oregon, Pennsylvania, Texas, Washington, West Virginia, and Wyoming.

  11. The histone demethylase Jmjd3 sequentially associates with the transcription factors Tbx3 and Eomes to drive endoderm differentiation

    DEFF Research Database (Denmark)

    Kartikasari, Apriliana E R; Zhou, Josie X; Kanji, Murtaza S

    2013-01-01

    feedback loop. In addition, Eomes activates a transcriptional network of core regulators of endodermal differentiation. Our results demonstrate that Jmjd3 sequentially associates with two T-box factors, Tbx3 and Eomes to drive stem cell differentiation towards the definitive endoderm lineage....

  12. ObStruct: A Method to Objectively Analyse Factors Driving Population Structure Using Bayesian Ancestry Profiles

    Science.gov (United States)

    Gayevskiy, Velimir; Klaere, Steffen; Knight, Sarah; Goddard, Matthew R.

    2014-01-01

    Bayesian inference methods are extensively used to detect the presence of population structure given genetic data. The primary output of software implementing these methods are ancestry profiles of sampled individuals. While these profiles robustly partition the data into subgroups, currently there is no objective method to determine whether the fixed factor of interest (e.g. geographic origin) correlates with inferred subgroups or not, and if so, which populations are driving this correlation. We present ObStruct, a novel tool to objectively analyse the nature of structure revealed in Bayesian ancestry profiles using established statistical methods. ObStruct evaluates the extent of structural similarity between sampled and inferred populations, tests the significance of population differentiation, provides information on the contribution of sampled and inferred populations to the observed structure and crucially determines whether the predetermined factor of interest correlates with inferred population structure. Analyses of simulated and experimental data highlight ObStruct's ability to objectively assess the nature of structure in populations. We show the method is capable of capturing an increase in the level of structure with increasing time since divergence between simulated populations. Further, we applied the method to a highly structured dataset of 1,484 humans from seven continents and a less structured dataset of 179 Saccharomyces cerevisiae from three regions in New Zealand. Our results show that ObStruct provides an objective metric to classify the degree, drivers and significance of inferred structure, as well as providing novel insights into the relationships between sampled populations, and adds a final step to the pipeline for population structure analyses. PMID:24416362

  13. Driving and hindering factors for rural electrification in developing countries: Lessons from Bangladesh

    International Nuclear Information System (INIS)

    Rahman, Md. Mizanur; Paatero, Jukka V.; Poudyal, Aditya; Lahdelma, Risto

    2013-01-01

    Rural electrification is essential for bringing about social and economic developments, but the progress is distressingly slow in most developing countries. The Bangladesh Rural Electrification Program (BREP) has been highlighted as a positive case among developing countries, but from 2006 onwards there have been doubts about the program's chances of success. In this paper, we examine the rural electrification practices in Bangladesh and evaluate the claim that, whereas they were successful up to 2005, they then began to decline in terms of their performance. This study determines the factors behind the initial success of the program as well as those that account for the recent downturn in BREP. We found that the BREP was a clear success in terms of its growth and progress; however, its performance has been declining since 2006. The key driving factors for the success of this program had to do with prioritizing system investment, community involvement, anti-corruption features, standardized practices and performance-based incentives while excluding political parties. The major issues accounting for the decline were the lack of organizational autonomy, a shortage of funding, unrealistic tariffs, and power supply shortages. Renewable-based, off-grid technologies have been successfully supplementing the on-grid program in remote areas. - Highlights: • Rural electrification is essential for bringing about socio-economic developments. • The pace of rural electrification in the developing countries has been very slow. • A multitude of issues plays behind in making the task a success or a failure. • Lack of policy reforms, unrealistic tariffs are the main hinderers. • Rural electrification cannot be successful by sticking to a rigid model

  14. ObStruct: a method to objectively analyse factors driving population structure using Bayesian ancestry profiles.

    Directory of Open Access Journals (Sweden)

    Velimir Gayevskiy

    Full Text Available Bayesian inference methods are extensively used to detect the presence of population structure given genetic data. The primary output of software implementing these methods are ancestry profiles of sampled individuals. While these profiles robustly partition the data into subgroups, currently there is no objective method to determine whether the fixed factor of interest (e.g. geographic origin correlates with inferred subgroups or not, and if so, which populations are driving this correlation. We present ObStruct, a novel tool to objectively analyse the nature of structure revealed in Bayesian ancestry profiles using established statistical methods. ObStruct evaluates the extent of structural similarity between sampled and inferred populations, tests the significance of population differentiation, provides information on the contribution of sampled and inferred populations to the observed structure and crucially determines whether the predetermined factor of interest correlates with inferred population structure. Analyses of simulated and experimental data highlight ObStruct's ability to objectively assess the nature of structure in populations. We show the method is capable of capturing an increase in the level of structure with increasing time since divergence between simulated populations. Further, we applied the method to a highly structured dataset of 1,484 humans from seven continents and a less structured dataset of 179 Saccharomyces cerevisiae from three regions in New Zealand. Our results show that ObStruct provides an objective metric to classify the degree, drivers and significance of inferred structure, as well as providing novel insights into the relationships between sampled populations, and adds a final step to the pipeline for population structure analyses.

  15. Expressing Anger Is More Dangerous than Feeling Angry when Driving.

    Directory of Open Access Journals (Sweden)

    Weina Qu

    Full Text Available Anger is an emotion that drivers often feel and express while driving, and it is believed by researchers to be an important cause of dangerous driving behavior. In this study, the relationships between driving trait anger, driving anger expression, and dangerous driving behaviors were analyzed. The Driving Anger Scale (DAS was used to measure driving trait anger, whereas the Driving Anger Expression (DAX Inventory was used to measure expressions of driving anger. A sample of 38 drivers completed the DAS, DAX, and a driving simulation session on a simulator where their driving behaviors were recorded. Correlation analysis showed that the higher scores on the DAS were associated with longer durations of speeding in the simulator. The more participants expressed their anger in verbal and physical ways, the more likely they were to crash the virtual vehicle during the simulation. Regression analyses illustrated the same pattern. The findings suggest that, although trait anger is related to speeding, the passive expression of anger is the real factor underling traffic accidents. This study extends findings about the predictive effects of self-report scales of driving behaviors to behaviors recorded on a simulator. Thus, if in traffic safety propaganda, guiding drivers to use positive ways to cope with driving anger is recommended by our findings.

  16. Expressing Anger Is More Dangerous than Feeling Angry when Driving

    Science.gov (United States)

    Qu, Weina; Dai, Mengnuo; Zhao, Wenguo; Zhang, Kan

    2016-01-01

    Anger is an emotion that drivers often feel and express while driving, and it is believed by researchers to be an important cause of dangerous driving behavior. In this study, the relationships between driving trait anger, driving anger expression, and dangerous driving behaviors were analyzed. The Driving Anger Scale (DAS) was used to measure driving trait anger, whereas the Driving Anger Expression (DAX) Inventory was used to measure expressions of driving anger. A sample of 38 drivers completed the DAS, DAX, and a driving simulation session on a simulator where their driving behaviors were recorded. Correlation analysis showed that the higher scores on the DAS were associated with longer durations of speeding in the simulator. The more participants expressed their anger in verbal and physical ways, the more likely they were to crash the virtual vehicle during the simulation. Regression analyses illustrated the same pattern. The findings suggest that, although trait anger is related to speeding, the passive expression of anger is the real factor underling traffic accidents. This study extends findings about the predictive effects of self-report scales of driving behaviors to behaviors recorded on a simulator. Thus, if in traffic safety propaganda, guiding drivers to use positive ways to cope with driving anger is recommended by our findings. PMID:27258144

  17. Common-mode Voltage Reduction in a Motor Drive System with a Power Factor Correction

    DEFF Research Database (Denmark)

    Adabi, J.; Boora, A.A.; Zare, F.

    2012-01-01

    Common-mode voltage generated by a power converter in combination with parasitic capacitive couplings is a potential source of shaft voltage in an AC motor drive system. In this study, a three-phase motor drive system supplied with a single-phase AC-DC diode rectifier is investigated in order...... to reduce shaft voltage in a three-phase AC motor drive system. In this topology, the AC-DC diode rectifier influences the common-mode voltage generated by the inverter because the placement of the neutral point is changing in different rectifier circuit states. A pulse width modulation technique...

  18. Protest behavior: Individual and group factors

    Directory of Open Access Journals (Sweden)

    Agadullina E.R.

    2014-12-01

    Full Text Available Normative and nonnormative collective actions are the consequence of differences in estimation of political situation. The article regards the predictors in selection of normative (participation in meetings, signing petitions, etc. vs. nonnormative (strike, violent actions, etc. forms of protest behavior (perception of unfairness, self-efficacy, social identity, ideas of out-group. The carried out analysis showed that high self-efficacy, idea of out-group members as equal participants of interaction and experiencing of emotion of anger lead to the choice of various normative protest behavior. Low self-efficacy, steady social identity (including politicized identity, experiencing the emotion of contempt to out-group members often lead to choice of nonnormative forms. In conclusion the article regards the link of various predictors with the choice of individual and group forms of protest and analyzes the possible directions for further empirical studies.

  19. Human Factors of Automated Driving : Predicting the Effects of Authority Transitions on Traffic Flow Efficiency

    NARCIS (Netherlands)

    Varotto, S.F.; Hoogendoorn, R.G.; Van Arem, B.; Hoogendoorn, S.P.

    2014-01-01

    Automated driving potentially has a significant impact on traffic flow efficiency. Automated vehicles, which possess cooperative capabilities, are expected to reduce congestion levels for instance by increasing road capacity, by anticipating traffic conditions further downstream and also by

  20. The road to automated driving: Dual mode and human factors considerations

    NARCIS (Netherlands)

    Martens, M.H.; Beukel, A.P. van den

    2013-01-01

    Recent technological developments have shown a transition from informative driving support systems to more automated vehicles. Although automated vehicles are designed to overcome limitations in human perception, decision making and response, there may be a downside to introducing these

  1. Driving simulator validation of driver behavior with limited safe vantage points for data collection in work zones.

    Science.gov (United States)

    Bham, Ghulam H; Leu, Ming C; Vallati, Manoj; Mathur, Durga R

    2014-06-01

    This study is aimed at validating a driving simulator (DS) for the study of driver behavior in work zones. A validation study requires field data collection. For studies conducted in highway work zones, the availability of safe vantage points for data collection at critical locations can be a significant challenge. A validation framework is therefore proposed in this paper, demonstrated using a fixed-based DS that addresses the issue by using a global positioning system (GPS). The validation of the DS was conducted using objective and subjective evaluations. The objective validation was divided into qualitative and quantitative evaluations. The DS was validated by comparing the results of simulation with the field data, which were collected using a GPS along the highway and video recordings at specific locations in a work zone. The constructed work zone scenario in the DS was subjectively evaluated with 46 participants. The objective evaluation established the absolute and relative validity of the DS. The mean speeds from the DS data showed excellent agreement with the field data. The subjective evaluation indicated realistic driving experience by the participants. The use of GPS showed that continuous data collected along the highway can overcome the challenges of unavailability of safe vantage points especially at critical locations. Further, a validated DS can be used for examining driver behavior in complex situations by replicating realistic scenarios. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. Resource Availability as Driving Factor of the Reproductive Mode in Soil Microarthropods (Acari, Oribatida)

    Science.gov (United States)

    Wehner, Katja; Scheu, Stefan; Maraun, Mark

    2014-01-01

    The availability of high quality resources is an important factor driving community structure and reproductive mode of animals. Parthenogenetic reproduction prevails when resources are available in excess, whereas sexuality correlates with resource shortage. We investigated the effect of resource availability on the community structure of oribatid mites in a laboratory experiment. Availability of food resources was increased by addition of glucose to leaf litter and reduced by leaching of nutrients from leaf litter. Experimental systems were incubated at three different temperatures to establish different regimes of resource exploitation. Community structure of oribatids and numbers of eggs per female were measured over a period of ten months. We expected the density of oribatid mites to decline in the reduced litter quality treatment but to increase in the glucose treatment. Both effects were assumed to be more pronounced at higher temperatures. We hypothesized sexual species to be less affected than parthenogenetic species by reduced resource quality due to higher genetic diversity allowing more efficient exploitation of limited resources, but to be outnumbered by parthenogenetic species in case of resource addition due to faster reproduction. In contrast to our hypotheses, both sexual and parthenogenetic oribatid mite species responded similarly with their densities declining uniformly during incubation. The parthenogenetic Brachychthoniidae and Tectocepheus dominated early in the experiment but were replaced later by parthenogenetic Desmonomata and Rhysotritia. In parthenogenetic species the number of eggs per female increased during the experiment while the number of eggs in sexual females remained constant or decreased slightly; in general, egg numbers were higher in sexual than in parthenogenetic species. The results indicate that for sustaining oribatid mite populations other resources than litter and associated saprotrophic microorganisms are needed. They

  3. Resource availability as driving factor of the reproductive mode in soil microarthropods (Acari, Oribatida.

    Directory of Open Access Journals (Sweden)

    Katja Wehner

    Full Text Available The availability of high quality resources is an important factor driving community structure and reproductive mode of animals. Parthenogenetic reproduction prevails when resources are available in excess, whereas sexuality correlates with resource shortage. We investigated the effect of resource availability on the community structure of oribatid mites in a laboratory experiment. Availability of food resources was increased by addition of glucose to leaf litter and reduced by leaching of nutrients from leaf litter. Experimental systems were incubated at three different temperatures to establish different regimes of resource exploitation. Community structure of oribatids and numbers of eggs per female were measured over a period of ten months. We expected the density of oribatid mites to decline in the reduced litter quality treatment but to increase in the glucose treatment. Both effects were assumed to be more pronounced at higher temperatures. We hypothesized sexual species to be less affected than parthenogenetic species by reduced resource quality due to higher genetic diversity allowing more efficient exploitation of limited resources, but to be outnumbered by parthenogenetic species in case of resource addition due to faster reproduction. In contrast to our hypotheses, both sexual and parthenogenetic oribatid mite species responded similarly with their densities declining uniformly during incubation. The parthenogenetic Brachychthoniidae and Tectocepheus dominated early in the experiment but were replaced later by parthenogenetic Desmonomata and Rhysotritia. In parthenogenetic species the number of eggs per female increased during the experiment while the number of eggs in sexual females remained constant or decreased slightly; in general, egg numbers were higher in sexual than in parthenogenetic species. The results indicate that for sustaining oribatid mite populations other resources than litter and associated saprotrophic

  4. Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961-2011)

    KAUST Repository

    Azorin-Molina, Cesar

    2015-04-01

    We analyzed the spatio-temporal evolution of evaporation observations from Piché atmometers (1961-2011; 56 stations) and Pan evaporimeters (1984-2011; 21 stations) across Spain, and compared both measurements with evaporation estimates obtained by four physical models: i.e., Food and Agricultural Organization-56 Penman-Monteith, Food and Agricultural Organization-Pan, PenPan and Penman, based on climate data. In this study we observed a positive and statistically significant correlation between Piché and Pan evaporation measurements during the common period (1984-2011; 19 stations), mainly in summer. When evaporation observations and estimates were compared, we detected positive and statistically significant correlations with the four methods, except for winter. Among the four physical models, the FAO-Pan showed the best fitting to both Piché and Pan evaporation measurements; the PenPan model overestimated evaporation rates; and the FAO-Penman-Monteith and Penman methods underestimated evaporation observations. We also observed a better spatial agreement between Pan evaporation and estimates than that obtained by Piché measurements. Annual and seasonal trends of evaporation estimates show a statistically significant increase for 1961-2011, which do not agree with long-term Piché evaporation trends; e.g. a discontinuity was found around the 1980s. Radiative and aerodynamic driving factors suggest that this discontinuity, and the observed evaporation trends across Spain could be associated with the abrupt increase in air temperature observed during last few decades (i.e., global warming). Further investigations using available Piché evaporation observations for other regions are needed to better understand physical components influencing long-term trends of evaporation.

  5. Investigating Direct Links between Depression, Emotional Control, and Physical Punishment with Adolescent Drive for Thinness and Bulimic Behaviors, Including Possible Moderation by the Serotonin Transporter 5-HTTLPR Polymorphism

    Directory of Open Access Journals (Sweden)

    Vanja Rozenblat

    2017-08-01

    Full Text Available Objectives: To examine the relationship between psychological and social factors (depression, emotional control, sexual abuse, and parental physical punishment and adolescent drive for Thinness and Bulimic behaviors in a large community sample, and to investigate possible genetic moderation.Method: Data were drawn from the Australian Temperament Project (ATP, a population-based cohort study that has followed a representative sample of 2443 participants from infancy to adulthood across 16 waves since 1983. A subsample of 650 participants (50.2% female of Caucasian descent who provided DNA were genotyped for a serotonin transporter promoter polymorphism (5-HTTLPR. Adolescent disordered eating attitudes and behaviors were assessed using the Bulimia and Drive for Thinness scales of the Eating Disorder Inventory-2 (15–16 years. Depression and emotional control were examined at the same age using the Short Mood and Feelings Questionnaire, and an ATP-devised measure of emotional control. History of sexual abuse and physical punishment were assessed retrospectively (23–24 years in a subsample of 467 of those providing DNA.Results: EDI-2 scores were associated with depression, emotional control, and retrospectively reported parental physical punishment. Although there was statistically significant moderation of the relationship between parental physical punishment and bulimic behaviors by 5-HTTLPR (p = 0.0048, genotypes in this subsample were not in Hardy–Weinberg Equilibrium. No other G×E interactions were significant. Conclusion: Findings from this study affirm the central importance of psychosocial processes in disordered eating patterns in adolescence. Evidence of moderation by 5-HTTLPR was not conclusive; however, genetic moderation observed in a subsample not in Hardy–Weinberg Equilibrium warrants further investigation.

  6. Validity and usability of a safe driving behaviors measure for older adults : strategy for congestion mitigation.

    Science.gov (United States)

    2012-01-01

    Statistics project that crash/injury/fatality rates of older drivers will increase with the future growth of : this population. Accurate and precise measurement of older driver behaviors becomes imperative to : curtail these crash trends and resultin...

  7. Clinician Perceptions of Childhood Risk Factors for Future Antisocial Behavior

    Science.gov (United States)

    Koegl, Christopher J.; Farrington, David P.; Augimeri, Leena K.

    2009-01-01

    We asked 176 mental health clinicians to list factors that place a child at risk for engaging in future antisocial behavior. Participants were randomly assigned to do this in relationship to boys and girls. Listed factors were then coded into broad item categories using the Early Assessment Risk Lists (EARL). Of the 1,695 factors listed, 1,476…

  8. Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM and Analytic Network Process (ANP

    Directory of Open Access Journals (Sweden)

    Xiong Zheng

    2017-03-01

    Full Text Available The establishment of an efficient reverse supply chain is important, especially in the electronics industry, considering the environmental and resource pressures worldwide. Extended Producer Responsibility (EPR, an important environmental policy approach, has been adopted extensively in various countries, and the effectiveness of its implementation has been proven through practical application. However, the establishment and development of EPR are lacking in most developing countries where collection and recycling systems are underdeveloped. This study addresses this problem by exploring the hierarchical relationship among the driving factors of EPR in the electronics industry in China and by identifying and ranking the factors that are critical in EPR implementation. As important managerial conclusions, research results show that EPR-related laws and regulations, the consciousness of senior executives, and corporate image are the three most important driving factors of EPR implementation.

  9. Temporal Dynamics of the Driving Factors of Urban Landscape Change of Addis Ababa During the Past Three Decades.

    Science.gov (United States)

    Zewdie, Meskerem; Worku, Hailu; Bantider, Amare

    2018-01-01

    Mapping and quantifying urban landscape dynamics and the underlying driving factors are crucial for devising appropriate policies, especially in cities of developing countries where the change is rapid. This study analyzed three decades (1984-2014) of land use land cover change of Addis Ababa using Landsat imagery and examined the underlying factors and their temporal dynamics through expert interview using Analytic Hierarchy Process (AHP). Classification results revealed that urban area increased by 50%, while agricultural land and forest decreased by 34 and 16%, respectively. The driving factors operated differently during the pre and post-1991 period. The year 1991 was chosen because it marked government change in the country resulting in policy change. Policy had the highest influence during the pre-1991 period. Land use change in this period was associated with the housing sector as policies and institutional setups were permissive to this sector. Population growth and in-migration were also important factors. Economic factors played significant role in the post-1991 period. The fact that urban land has a market value, the growth of private investment, and the speculated property market were among the economic factors. Policy reforms since 2003 were also influential to the change. Others such as accessibility, demography, and neighborhood factors were a response to economic factors. All the above-mentioned factors had vital role in shaping the urban pattern of the city. These findings can help planners and policymakers to better understand the dynamic relationship of urban land use and the driving factors to better manage the city.

  10. Temporal Dynamics of the Driving Factors of Urban Landscape Change of Addis Ababa During the Past Three Decades

    Science.gov (United States)

    Zewdie, Meskerem; Worku, Hailu; Bantider, Amare

    2018-01-01

    Mapping and quantifying urban landscape dynamics and the underlying driving factors are crucial for devising appropriate policies, especially in cities of developing countries where the change is rapid. This study analyzed three decades (1984-2014) of land use land cover change of Addis Ababa using Landsat imagery and examined the underlying factors and their temporal dynamics through expert interview using Analytic Hierarchy Process (AHP). Classification results revealed that urban area increased by 50%, while agricultural land and forest decreased by 34 and 16%, respectively. The driving factors operated differently during the pre and post-1991 period. The year 1991 was chosen because it marked government change in the country resulting in policy change. Policy had the highest influence during the pre-1991 period. Land use change in this period was associated with the housing sector as policies and institutional setups were permissive to this sector. Population growth and in-migration were also important factors. Economic factors played significant role in the post-1991 period. The fact that urban land has a market value, the growth of private investment, and the speculated property market were among the economic factors. Policy reforms since 2003 were also influential to the change. Others such as accessibility, demography, and neighborhood factors were a response to economic factors. All the above-mentioned factors had vital role in shaping the urban pattern of the city. These findings can help planners and policymakers to better understand the dynamic relationship of urban land use and the driving factors to better manage the city.

  11. The Neurotrophic Factor Receptor p75 in the Rat Dorsolateral Striatum Drives Excessive Alcohol Drinking

    Science.gov (United States)

    Darcq, Emmanuel; Morisot, Nadege; Phamluong, Khanhky; Warnault, Vincent; Jeanblanc, Jerome; Longo, Frank M.; Massa, Stephen M.

    2016-01-01

    Brain-derived neurotrophic factor (BDNF) signaling in the dorsolateral striatum (DLS) keeps alcohol intake in moderation. For example, activation of the BDNF receptor tropomyosin receptor kinase B (TrkB) in the DLS reduces intake in rats that consume moderate amounts of alcohol. Here, we tested whether long-term excessive consumption of alcohol produces neuroadaptations in BDNF signaling in the rat DLS. We found that BDNF was no longer able to gate alcohol self-administration after a history of repeated cycles of binge alcohol drinking and withdrawal. We then elucidated the possible neuroadaptations that could block the ability of BDNF to keep consumption of alcohol in moderation. We report that intermittent access to 20% alcohol in a two-bottle choice paradigm that models excessive alcohol drinking produces a mobilization of DLS p75 neurotrophin receptor (p75NTR), whose activities oppose those of the Trk receptors, including TrkB. These neuroadaptations were not observed in the DLS of rats exposed to continuous access to 10% alcohol or in rats consuming sucrose. Furthermore, short hairpin RNA (shRNA)-mediated knockdown of the p75NTR gene in the DLS, as well as intra-DLS infusion or systemic administration of the p75NTR modulator, LM11A-31, significantly reduced binge drinking of alcohol. Together, our results suggest that excessive alcohol consumption produces a change in BDNF signaling in the DLS, which is mediated by the recruitment of p75NTR. Our data also imply that modulators of p75NTR signaling could be developed as medications for alcohol abuse disorders. SIGNIFICANCE STATEMENT Neuroadaptations gate or drive excessive, compulsive alcohol drinking. We previously showed that brain-derived neurotrophic factor and its receptor, TrkB, in the dorsolateral striatum (DLS), are part of an endogenous system that keeps alcohol drinking in moderation. Here, we show that a history of excessive alcohol intake produces neuroadaptations in the DLS that preclude BDNF

  12. Biodemographic And Health Seeking Behavior Factors Influencing ...

    African Journals Online (AJOL)

    This study findings show primarily - amongst the biodemographic and health seeking services factors, delivery-related maternal health complicacies, blindness, higher order births, twin births, lower household size and interaction effect of higher order live births and male child are significantly correlated with higher neonatal ...

  13. Individual Characteristics, Contextual Factors and Entrepreneurial Behavior

    NARCIS (Netherlands)

    P. Darnihamedani (Pourya)

    2016-01-01

    markdownabstractThis thesis is concerned with entrepreneurship in general, and innovative entrepreneurship in particular. It contributes to three main developments in the field of entrepreneurship: sub-groups of entrepreneurs, the role of start-up motivations and the role of contextual factors in

  14. Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data,...

  15. Factor structure of the Behavior Flexibility Rating Scale (BFRS)

    NARCIS (Netherlands)

    Pituch, K.A.; Green, V.A.; Sigafoos, J.; Itchon, J.; O'Reilly, M.F.; Lancioni, G.E.; Didden, H.C.M.

    2007-01-01

    The Behavior Flexibility Rating Scale (BFRS) is designed to assess insistence on sameness or lack of behavioral flexibility, which is often associated with autism and other developmental disabilities. This study was designed to assess the factor structure of this scale for a sample of 968

  16. Factors Affecting the Behavioral Intention of Using Sedayuone Mobile Application

    OpenAIRE

    Yanfi, Yanfi; Kurniawan, Yohannes; Arifin, Yulyani

    2017-01-01

    This research evaluated the factors that influenced the behavioral intention to use a mobile application. The case study used was SedayuOne mobile application. The method used was the questionnaires using Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The questionnaires were sent to the 342 members by using email. The result shows that the user habit is the highest factor that influences the user behavioral intention to consume the SEDAYUONE application.Therefore, to maint...

  17. [Adolescence, sexual behavior and risk factors to health].

    Science.gov (United States)

    Assis, Simone Gonçalves de; Gomes, Romeu; Pires, Thiago de Oliveira

    2014-02-01

    To analyze the relationships between sexual behavior and risk factors to physical and mental health in adolescents. Study of 3,195 pupils aged 15 to 19 in secondary education, in public and private schools in 10 state capitals in Brazil between 2007 and 2008. Multi-stage (schools and pupils) cluster sampling was used in each city and public and private educational network. All of the students selected completed a questionnaire on the following items: socioeconomic and demographic data; sexual behavior; having sex with those of the same sex, the opposite sex, or both; alcohol and cannabis use; using condoms; traumatic sexual experiences as a child or adolescent; suicidal thoughts. The analysis included describing frequencies, Chi-square test, analysis of multiple and cluster correspondence. Responses to an open ended question in which the adolescent expressed general comments about themselves and their lives were qualitatively analyzed using content analysis. Around 3.0% of adolescents reported homosexual or bisexual behavior, with no difference according to sex, age, skin color, social status family structure or educational network. Adolescents with homosexual/bisexual sexual behavior, compared to their heterosexual peers, reported: (p homosexual/bisexual sexual behavior reported that they used condoms less frequently (74.2%) than their heterosexual peers (48.6%, p homosexual/bisexual behavior and experiencing risk factors; suffering sexual violence, never using a condom, suicidal thoughts, frequent cannabis use; another composed of occasional cannabis and condom users, who got drunk frequently, and adolescents with heterosexual behavior and none of the risk factors investigated. More of the risk factors were found in adolescents with homosexual/bisexual behavior compared with those with heterosexual behavior. Adolescents with homosexual/bisexual sexual behavior were more likely to talk about their positive personal experiences and negative relationship experiences

  18. 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

  19. Factors influencing the purchasing behavior of TCM outpatients in Taiwan.

    Science.gov (United States)

    Liao, Hui-Ling; Ma, Tso-Chiang; Chiu, Yen-Lin; Chen, Jin-Tang; Chang, Yuan-Shiun

    2008-07-01

    To test the factors that influence Chinese medicine outpatients' behavior patterns in purchasing Traditional Chinese Medicine (TCM) under the National Health Insurance (NHI) system in Taiwan. A structural questionnaire was developed and administered to randomly selected outpatients waiting for Chinese Medicine at pharmacies in two academic hospitals that offered Chinese Medicine services in central Taiwan. A total of 641 effective questionnaires were collected. SPSS 10.0 (Statistical Package for Social Sciences, SPSS Inc., Chicago, IL) was used to run descriptive analysis and one-way analysis of variance (ANOVA). In addition, LISREL 8.30 (Analytical Package, Scientific Software International, Inc., Chicago, IL) was used to modify and analyze the relationship between the variables of the hypothetical pathway model. Path analysis showed that "behavioral intention" and "suffering from disease" had positive and direct influences on the outpatients' patterns of purchasing TCM. Furthermore, "usable resources" was an important factor with direct influence on behavioral intention. When there were more usable resources, the behavioral intention became stronger and indirectly influenced the purchasing behavior of TCM outpatients. In addition, one-way ANOVA showed that the purchasing behavior was significantly influenced by the number of diseases that an individual suffered. The results of the pathway model showed that "behavioral intention" and "suffering from disease" had positive and direct influence on the TCM purchasing behavior of Chinese Medicine outpatients. However, "usable resources" was an important factor with direct influence on behavioral intention. When there were more usable resources, the behavioral intention became stronger and indirectly had influence on the TCM purchasing behavior. Furthermore, the analysis result of one-way ANOVA showed that the more chronic diseases the surveyed subject suffered, the more significant the influence on purchasing behavior

  20. Factors influencing mine rescue team behaviors.

    Science.gov (United States)

    Jansky, Jacqueline H; Kowalski-Trakofler, K M; Brnich, M J; Vaught, C

    2016-01-01

    A focus group study of the first moments in an underground mine emergency response was conducted by the National Institute for Occupational Safety and Health (NIOSH), Office for Mine Safety and Health Research. Participants in the study included mine rescue team members, team trainers, mine officials, state mining personnel, and individual mine managers. A subset of the data consists of responses from participants with mine rescue backgrounds. These responses were noticeably different from those given by on-site emergency personnel who were at the mine and involved with decisions made during the first moments of an event. As a result, mine rescue team behavior data were separated in the analysis and are reported in this article. By considering the responses from mine rescue team members and trainers, it was possible to sort the data and identify seven key areas of importance to them. On the basis of the responses from the focus group participants with a mine rescue background, the authors concluded that accurate and complete information and a unity of purpose among all command center personnel are two of the key conditions needed for an effective mine rescue operation.

  1. Phytoplankton blooms during austral summer in the Ross Sea, Antarctica: Driving factors and trophic implications.

    Science.gov (United States)

    Mangoni, Olga; Saggiomo, Vincenzo; Bolinesi, Francesco; Margiotta, Francesca; Budillon, Giorgio; Cotroneo, Yuri; Misic, Cristina; Rivaro, Paola; Saggiomo, Maria

    2017-01-01

    During the austral summer of 2014, an oceanographic cruise was conducted in the Ross Sea in the framework of the RoME (Ross Sea Mesoscale Experiment) Project. Forty-three hydrological stations were sampled within three different areas: the northern Ross Sea (RoME 1), Terra Nova Bay (RoME 2), and the southern Ross Sea (RoME 3). The ecological and photophysiological characteristics of the phytoplankton were investigated (i.e., size structure, functional groups, PSII maximum quantum efficiency, photoprotective pigments), as related to hydrographic and chemical features. The aim was to identify the mechanisms that modulate phytoplankton blooms, and consequently, the fate of organic materials produced by the blooms. The observed biomass standing stocks were very high (e.g., integrated chlorophyll-a up to 371 mg m-2 in the top 100 m). Large differences in phytoplankton community composition, relative contribution of functional groups and photosynthetic parameters were observed among the three subsystems. The diatoms (in different physiological status) were the dominant taxa in RoME 1 and RoME 3; in RoME 1, a post-bloom phase was identified, whereas in RoME 3, an active phytoplankton bloom occurred. In RoME 2, diatoms co-occurred with Phaeocystis antarctica, but were vertically segregated by the upper mixed layer, with senescent diatoms dominating in the upper layer, and P. antarctica blooming in the deeper layer. The dominance of the phytoplankton micro-fraction over the whole area and the high Chl-a suggested the prevalence of non-grazed large cells, independent of the distribution of the two functional groups. These data emphasise the occurrence of significant temporal changes in the phytoplankton biomass in the Ross Sea during austral summer. The mechanisms that drive such changes and the fate of the carbon production are probably related to the variations in the limiting factors induced by the concurrent hydrological modifications to the Ross Sea, and they remain to

  2. Driving factors of carbon dioxide emissions in China: an empirical study using 2006-2010 provincial data

    Science.gov (United States)

    Liu, Yu; Chen, Zhan-Ming; Xiao, Hongwei; Yang, Wei; Liu, Danhe; Chen, Bin

    2017-03-01

    The rapid urbanization of China has increased pressure on its environmental and ecological well being. In this study, the temporal and spatial profiles of China's carbon dioxide emissions are analyzed by taking heterogeneities into account based on an integration of the extended stochastic impacts using a geographically and temporally weighted regression model on population, affluence, and technology. Population size, urbanization rate, GDP per capita, energy intensity, industrial structure, energy consumption pattern, energy prices, and economy openness are identified as the key driving factors of regional carbon dioxide emissions and examined through the empirical data for 30 provinces during 2006‒2010. The results show the driving factors and their spillover effects have distinct spatial and temporal heterogeneities. Most of the estimated time and space coefficients are consistent with expectation. According to the results of this study, the heterogeneous spatial and temporal effects should be taken into account when designing policies to achieve the goals of carbon dioxide emissions reduction in different regions.

  3. Driver`s behavior and the motion of motorized wheelchair when driving over rough surfaces; Dansa nado fuseichi sokoji no dendo kurumaisu no undo to join no kyodo

    Energy Technology Data Exchange (ETDEWEB)

    Enomoto, A.; Yokomori, M.; Yamaguchi, S. [Meijo University, Aichi (Japan)

    1997-10-01

    We analyzed about the motion of motorized wheelchairs and the driver`s behavior when passing over the small obstacles in place of the rough surface road or the gateway of house and road by experiment. The tested two type wheelchairs are the front wheel drive and the rear wheel drive. The lean angle of head and the pulse rate of driver, the feeling for stability and the yaw angle and the roll angle of the wheelchair bodies, and the deflection angle of front wheels of rear drive. 4 refs., 11 figs., 1 tab.

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

    Directory of Open Access Journals (Sweden)

    Marcos Pascual Soler

    2012-06-01

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

  5. Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China

    OpenAIRE

    Yu, Zhonglei; Liu, Lei; Zhang, Hua; Liang, Jinshe

    2017-01-01

    Farmland abandonment, including perennial and seasonal abandonment, is an important process of land use change that matters most to food security. Although there is a great deal of studies on farmland abandonment, seasonal abandonment, which is as serious as perennial abandonment, has attracted little academic attention. This paper takes Hunan Province in central China as its study area and uses a spatial regression model to examine the driving factors of seasonal farmland abandonment at the ...

  6. Factors driving public tolerance levels and information-seeking behaviour concerning insects in the household environment

    NARCIS (Netherlands)

    Schoelitsz, Bruce; Poortvliet, P.M.; Takken, Willem

    2018-01-01

    BACKGROUND: The public's negative attitudes towards household insects drive tolerance for these insects and their control. Tolerance levels are important in integrated pest management (IPM), as are pest knowledge and information. The risk information seeking and processing (RISP) model describes the

  7. Common factors drive disease and coarse woody debris dynamics in forests impacted by sudden oak death

    Science.gov (United States)

    Richard C. Cobb; Maggie N. Chan; Ross K. Meentemeyer; David M. Rizzo

    2011-01-01

    Disease ecology has made important steps in describing how epidemiological processes control the impact of pathogens on populations and communities but fewer field or theoretical studies address disease effects at the ecosystem level. We demonstrate that the same epidemiological mechanisms drive disease intensity and coarse woody debris (CWD) dynamics...

  8. Towards Player’s Affective and Behavioral Visual Cues as drives to Game Adaptation

    DEFF Research Database (Denmark)

    Asteriadis, Stylianos; Shaker, Noor; Karpouzis, Kostas

    2012-01-01

    Recent advances in emotion and affect recognition can play a crucial role in game technology. Moving from the typical game controls to controls generated from free gestures is already in the market. Higher level controls, however, can also be motivated by player’s affective and cognitive behavior...... player engagement and frustration, along with the degree of challenge imposed by the game is explored. The estimated levels of the induced metrics can feed an engine’s artificial intelligence, allowing for game adaptation.......Recent advances in emotion and affect recognition can play a crucial role in game technology. Moving from the typical game controls to controls generated from free gestures is already in the market. Higher level controls, however, can also be motivated by player’s affective and cognitive behavior...

  9. Serotonin Drives Predatory Feeding Behavior via Synchronous Feeding Rhythms in the Nematode Pristionchus pacificus

    OpenAIRE

    Okumura, Misako; Wilecki, Martin; Sommer, Ralf J.

    2017-01-01

    Feeding behaviors in a wide range of animals are regulated by the neurotransmitter serotonin, although the exact neural circuits and associated mechanism are often unknown. The nematode Pristionchus pacificus can kill other nematodes by opening prey cuticles with movable teeth. Previous studies showed that exogenous serotonin treatment induces a predatory-like tooth movement and slower pharyngeal pumping in the absence of prey; however, physiological functions of serotonin during predation an...

  10. Detailed Behavior Analysis for High Voltage Bidirectional Flyback Converter Driving DEAP Actuator

    DEFF Research Database (Denmark)

    Huang, Lina; Zhang, Zhe; Andersen, Michael A. E.

    2013-01-01

    flyback based converter has been implemented. The parasitic elements have serious influence for the operation of the converter, especially in the high output voltage condition. The detailed behavior analysis has been performed considering the impact of the critical parasitic parameters. The converter has...... been analyzed for both charging and discharging processes in low and high output voltage operating occasions. The experimental waveforms can validate the analysis....

  11. Identifying the principal driving factors of water ecosystem dependence and the corresponding indicator species in a pilot City, China

    Science.gov (United States)

    Zhao, C. S.; Shao, N. F.; Yang, S. T.; Xiang, H.; Lou, H. Z.; Sun, Y.; Yang, Z. Y.; Zhang, Y.; Yu, X. Y.; Zhang, C. B.; Yu, Q.

    2018-01-01

    The world's aquatic ecosystems yield numerous vital services, which are essential to human existence but have deteriorated seriously in recent years. By studying the mechanisms of interaction between ecosystems and habitat processes, the constraining factors can be identified, and this knowledge can be used to improve the success rate of ecological restoration initiatives. At present, there is insufficient data on the link between hydrological, water quality factors and the changes in the structure of aquatic communities to allow any meaningful study of driving factors of aquatic ecosystems. In this study, the typical monitoring stations were selected by fuzzy clustering analysis based on the spatial and temporal distribution characteristics of water ecology in Jinan City, the first pilot city for the construction of civilized aquatic ecosystems in China. The dominant species identification model was used to identify the dominant species of the aquatic community. The driving effect of hydrological and water quality factors on dominant species was analyzed by Canonical Correspondence Analysis. Then, the principal factors of aquatic ecosystem dependence were selected. The results showed that there were 10 typical monitoring stations out of 59 monitoring sites, which were representative of aquatic ecosystems, 9 dominant fish species, and 20 dominant invertebrate species. The selection of factors for aquatic ecosystem dependence in Jinan were highly influenced by its regional conditions. Chemical environmental parameters influence the temporal and spatial variation of invertebrate much more than that of fish in Jinan City. However, the methodologies coupling typical monitoring stations selection, dominant species determination and driving factors identification were certified to be a cost-effective way, which can provide in-deep theoretical and technical directions for the restoration of aquatic ecosystems elsewhere.

  12. Factors Affecting the Ability of the Stroke Survivor to Drive Their Own Recovery outside of Therapy during Inpatient Stroke Rehabilitation

    Science.gov (United States)

    Brauer, Sandra G.; Kuys, Suzanne S.; Lord, Matthew; Hayward, Kathryn S.

    2014-01-01

    Aim. To explore factors affecting the ability of the stroke survivor to drive their own recovery outside of therapy during inpatient rehabilitation. Method. One-on-one, in-depth interviews with stroke survivors (n = 7) and their main carer (n = 6), along with two focus groups with clinical staff (n = 20). Data was thematically analysed according to group. Results. Stroke survivors perceived “dealing with loss,” whilst concurrently “building motivation and hope” for recovery affected their ability to drive their own recovery outside of therapy. In addition, they reported a “lack of opportunities” outside of therapy, with subsequent time described as “dead and wasted.” Main carers perceived stroke survivors felt “out of control … at everyone's mercy” and lacked knowledge of “what to do and why” outside of therapy. Clinical staff perceived the stroke survivor's ability to drive their own recovery was limited by the lack of “another place to go” and the “passive rehab culture and environment.” Discussion. To enable the stroke survivor to drive their own recovery outside of therapy, there is a need to increase opportunities for practice and promote active engagement. Suggested strategies include building the stroke survivor's motivation and knowledge, creating an enriched environment, and developing daily routines to provide structure outside of therapy time. PMID:24800104

  13. Factors Affecting the Ability of the Stroke Survivor to Drive Their Own Recovery outside of Therapy during Inpatient Stroke Rehabilitation

    Directory of Open Access Journals (Sweden)

    Xue Wen Eng

    2014-01-01

    Full Text Available Aim. To explore factors affecting the ability of the stroke survivor to drive their own recovery outside of therapy during inpatient rehabilitation. Method. One-on-one, in-depth interviews with stroke survivors (n=7 and their main carer (n=6, along with two focus groups with clinical staff (n=20. Data was thematically analysed according to group. Results. Stroke survivors perceived “dealing with loss,” whilst concurrently “building motivation and hope” for recovery affected their ability to drive their own recovery outside of therapy. In addition, they reported a “lack of opportunities” outside of therapy, with subsequent time described as “dead and wasted.” Main carers perceived stroke survivors felt “out of control … at everyone’s mercy” and lacked knowledge of “what to do and why” outside of therapy. Clinical staff perceived the stroke survivor’s ability to drive their own recovery was limited by the lack of “another place to go” and the “passive rehab culture and environment.” Discussion. To enable the stroke survivor to drive their own recovery outside of therapy, there is a need to increase opportunities for practice and promote active engagement. Suggested strategies include building the stroke survivor’s motivation and knowledge, creating an enriched environment, and developing daily routines to provide structure outside of therapy time.

  14. Social Network Factors and Addictive Behaviors among College Students

    Science.gov (United States)

    Rinker, Dipali Venkataraman; Krieger, Heather; Neighbors, Clayton

    2016-01-01

    Purpose of the review To provide an overview of studies within the past five years examining the impact of social network factors on addictive behaviors among college students, to discuss gaps, limitations, and controversies in the field, and to summarize with a discussion of future directions and implications for interventions. Recent findings A review of 13 studies indicated that greater network exposure, centrality, reciprocated ties, and more tightly interconnected networks were associated with greater alcohol use and other addictive behaviors among college students. Summary Greater research is needed that expands beyond alcohol use to other addictive behaviors among college students. Additionally, more studies are needed that longitudinally study the impact of changes in social networks on addictive behaviors and vice versa, as well as studies examining sociocentric (whole) networks. Social network approaches offer innovative perspectives in understanding social influences on addictive behaviors and novel intervention strategies for potentially reducing addictive behaviors among college students. PMID:28580226

  15. Social Network Factors and Addictive Behaviors among College Students.

    Science.gov (United States)

    Rinker, Dipali Venkataraman; Krieger, Heather; Neighbors, Clayton

    2016-12-01

    To provide an overview of studies within the past five years examining the impact of social network factors on addictive behaviors among college students, to discuss gaps, limitations, and controversies in the field, and to summarize with a discussion of future directions and implications for interventions. A review of 13 studies indicated that greater network exposure, centrality, reciprocated ties, and more tightly interconnected networks were associated with greater alcohol use and other addictive behaviors among college students. Greater research is needed that expands beyond alcohol use to other addictive behaviors among college students. Additionally, more studies are needed that longitudinally study the impact of changes in social networks on addictive behaviors and vice versa, as well as studies examining sociocentric (whole) networks. Social network approaches offer innovative perspectives in understanding social influences on addictive behaviors and novel intervention strategies for potentially reducing addictive behaviors among college students.

  16. Environmental risk factors for REM sleep behavior disorder

    DEFF Research Database (Denmark)

    Postuma, R B; Montplaisir, J Y; Pelletier, A

    2012-01-01

    Idiopathic REM sleep behavior disorder is a parasomnia characterized by dream enactment and is commonly a prediagnostic sign of parkinsonism and dementia. Since risk factors have not been defined, we initiated a multicenter case-control study to assess environmental and lifestyle risk factors...

  17. Driving factors of aerosol concentration changes in the foothills of Central Himalayas

    Science.gov (United States)

    Kivekäs, Niku; Hooda, Rakesh; Hyvärinen, Antti-Pekka; Collaud-Coen, Martine; O'Connor, Ewan; Pietikäinen, Joni-Pekka; Backman, John; Vakkari, Ville; Lihavainen, Heikki

    2017-04-01

    Because of their short residence time in the atmosphere and uneven sources, the concentration, composition and properties of aerosol particles at a given location vary strongly depending on the air mass history and atmospheric mixing properties. Therefore detailed analysis is needed before a representative picture of the amount or composition of aerosol particles can be obtained. In this study we have analyzed 10 years (2005 - 2014) of aerosol data from Mukteshwar, a high-altitude site at 2180 m elevation in the foothills of Central Himalayas. The site is located on a mountain ridge with valleys on both sides. On larger scale the area consists of is low (peaks 1500 - 2500 m) mountains between the Gangetic Plains (100-200 m) and the actual Himalayas (peaks 6000 - 8000 m). The site is located in monsoon climate with most of the annual precipitation falling during the monsoon months (July and August). The data includes a variety of physical and optical properties of aerosols. We have analyzed the data for diurnal, weekly, and annual cycles, and for inter-annual variability and trends. We have also tried to identify the driving factors behind these changes. There were clear diurnal cycles in aerosol particle concentrations during all seasons apart for monsoon. All external aerosol parameters showed 1.5 - 2 times higher values during afternoon than during night time. This was linked to the diurnal pattern of turbulent mixing layer height, bringing polluted air from the valleys to the site. The timing of the pattern was consistent with increased turbulence, increased water vapor concentration in the air and change of wind direction at the site. The aerosol internal properties did not show a clear diurnal cycle. There were some weak indications of a weekday-weekend cycle during some months for some aerosol parameters, but no consistent patterns were found. The seasonal cycles of all external aerosol parameters were very clear. Every year the monsoon rains removed most of

  18. Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control.

    Directory of Open Access Journals (Sweden)

    Yejin Kim

    Full Text Available The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP. Participants were 2,573 men and 2,281 women (n = 4,854 aged 20-49 years (Mean ± SD: 33.47 ± 7.52; participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS, the Dickman Dysfunctional Impulsivity Instrument (DDII, and the Brief Self-Control Scale (BSCS. In addition, participants reported their demographic information and smartphone usage pattern (weekday or weekend average usage hours and main use. We analyzed the data in three steps: (1 identifying predictors with logistic regression, (2 deriving causal relationships between SAP and its predictors using a Bayesian belief network (BN, and (3 computing optimal cut-off points for the identified predictors using the Youden index. Identified predictors of SAP were as follows: gender (female, weekend average usage hours, and scores on BAS-Drive, BAS-Reward Responsiveness, DDII, and BSCS. Female gender and scores on BAS-Drive and BSCS directly increased SAP. BAS-Reward Responsiveness and DDII indirectly increased SAP. We found that SAP was defined with maximal sensitivity as follows: weekend average usage hours > 4.45, BAS-Drive > 10.0, BAS-Reward Responsiveness > 13.8, DDII > 4.5, and BSCS > 37.4. This study raises the possibility that personality factors contribute to SAP. And, we calculated cut-off points for key predictors. These findings may assist clinicians screening for SAP using cut-off points, and further the understanding of SA risk factors.

  19. Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control.

    Science.gov (United States)

    Kim, Yejin; Jeong, Jo-Eun; Cho, Hyun; Jung, Dong-Jin; Kwak, Minjung; Rho, Mi Jung; Yu, Hwanjo; Kim, Dai-Jin; Choi, In Young

    2016-01-01

    The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men and 2,281 women (n = 4,854) aged 20-49 years (Mean ± SD: 33.47 ± 7.52); participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS) for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS), the Dickman Dysfunctional Impulsivity Instrument (DDII), and the Brief Self-Control Scale (BSCS). In addition, participants reported their demographic information and smartphone usage pattern (weekday or weekend average usage hours and main use). We analyzed the data in three steps: (1) identifying predictors with logistic regression, (2) deriving causal relationships between SAP and its predictors using a Bayesian belief network (BN), and (3) computing optimal cut-off points for the identified predictors using the Youden index. Identified predictors of SAP were as follows: gender (female), weekend average usage hours, and scores on BAS-Drive, BAS-Reward Responsiveness, DDII, and BSCS. Female gender and scores on BAS-Drive and BSCS directly increased SAP. BAS-Reward Responsiveness and DDII indirectly increased SAP. We found that SAP was defined with maximal sensitivity as follows: weekend average usage hours > 4.45, BAS-Drive > 10.0, BAS-Reward Responsiveness > 13.8, DDII > 4.5, and BSCS > 37.4. This study raises the possibility that personality factors contribute to SAP. And, we calculated cut-off points for key predictors. These findings may assist clinicians screening for SAP using cut-off points, and further the understanding of SA risk factors.

  20. Contributions of sociodemographic factors to criminal behavior

    Directory of Open Access Journals (Sweden)

    Mundia L

    2016-06-01

    Full Text Available Lawrence Mundia, Rohani Matzin, Salwa Mahalle, Malai Hayati Hamid, Ratna Suriani Osman Psychological Studies and Human Development Academic Group, Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Abstract: We explored the extent to which prisoner sociodemographic variables (age, education, marital status, employment, and whether their parents were married or not influenced offending in 64 randomly selected Brunei inmates, comprising both sexes. A quantitative field survey design ideal for the type of participants used in a prison context was employed to investigate the problem. Hierarchical multiple regression analysis with backward elimination identified prisoner marital status and age groups as significantly related to offending. Furthermore, hierarchical multinomial logistic regression analysis with backward elimination indicated that prisoners’ age, primary level education, marital status, employment status, and parental marital status as significantly related to stealing offenses with high odds ratios. All 29 nonrecidivists were false negatives and predicted to reoffend upon release. Similarly, all 33 recidivists were projected to reoffend after release. Hierarchical binary logistic regression analysis revealed age groups (24–29 years and 30–35 years, employed prisoner, and primary level education as variables with high likelihood trends for reoffending. The results suggested that prisoner interventions (educational, counseling, and psychotherapy in Brunei should treat not only antisocial personality, psychopathy, and mental health problems but also sociodemographic factors. The study generated offending patterns, trends, and norms that may inform subsequent investigations on Brunei prisoners. Keywords: crimes, prisoner, sociodemographic, recidivism, interventions, Brunei

  1. Snowmelt Induced Hydrologic Perturbations Drive Dynamic Microbiological and Geochemical Behaviors across a Shallow Riparian Aquifer

    Energy Technology Data Exchange (ETDEWEB)

    Danczak, Robert E.; Yabusaki, Steven B.; Williams, Kenneth H.; Fang, Yilin; Hobson, Chad; Wilkins, Michael J.

    2016-05-11

    Shallow riparian aquifers represent hotspots of biogeochemical activity in the arid western US. While these environments provide extensive ecosystem services, little is known of how natural environmental perturbations influence subsurface microbial communities and associated biogeochemical processes. Over a six-month period we tracked the annual snowmelt-driven incursion of groundwater into the vadose zone of an aquifer adjacent to the Colorado River, leading to increased dissolved oxygen (DO) concentrations in the normally suboxic saturated zone. Strong biogeochemical heterogeneity was measured across the site, with abiotic reactions between DO and sulfide minerals driving rapid DO consumption and mobilization of redox active species in reduced aquifer regions. Conversely, extensive DO increases were detected in less reduced sediments. 16S rRNA gene surveys tracked microbial community composition within the aquifer, revealing strong correlations between increases in putative oxygen-utilizing chemolithoautotrophs and heterotrophs and rising DO concentrations. The gradual return to suboxic aquifer conditions favored increasing abundances of 16S rRNA sequences matching members of the Microgenomates (OP11) and Parcubacteria (OD1) that have been strongly implicated in fermentative processes. Microbial community stability measurements indicated that deeper aquifer locations were relatively less affected by geochemical perturbations, while communities in shallower locations exhibited the greatest change. Reactive transport modeling of the geochemical and microbiological results supported field observations, suggesting that a predictive framework can be applied to develop a greater understanding of such environments. Frontiers in Earth Science Journal Impact & Description - ResearchGate - Impact Rankings ( 2015 and 2016 ). Available from: https://www.researchgate.net/journal/2296-6463_Frontiers_in_Earth_Science [accessed Jul 25, 2016].

  2. Social relevance drives viewing behavior independent of low-level salience in rhesus macaques

    Directory of Open Access Journals (Sweden)

    James Andrew Solyst

    2014-11-01

    Full Text Available Quantifying attention to social stimuli during the viewing of complex social scenes with eye tracking has proven to be a sensitive method in the diagnosis of autism spectrum disorders years before average clinical diagnosis. Rhesus macaques provide an ideal model for understanding the mechanisms underlying social viewing behavior, but to date no comparable behavioral task has been developed for use in monkeys. Using a novel scene-viewing task, we monitored the gaze of three rhesus macaques while they freely viewed well-controlled composed social scenes and analyzed the time spent viewing objects and monkeys. In each of six behavioral sessions, monkeys viewed a set of 90 images (540 unique scenes with each image presented twice. In two-thirds of the repeated scenes, either a monkey or an object was replaced with a novel item (manipulated scenes. When viewing a repeated scene, monkeys made longer fixations and shorter saccades, shifting from a rapid orienting to global scene contents to a more local analysis of fewer items. In addition to this repetition effect, in manipulated scenes, monkeys demonstrated robust memory by spending more time viewing the replaced items. By analyzing attention to specific scene content, we found that monkeys strongly preferred to view conspecifics and that this was not related to their salience in terms of low-level image features. A model-free analysis of viewing statistics found that monkeys that were viewed earlier and longer had direct gaze and redder sex skin around their face and rump, two important visual social cues. These data provide a quantification of viewing strategy, memory and social preferences in rhesus macaques viewing complex social scenes, and they provide an important baseline with which to compare to the effects of therapeutics aimed at enhancing social cognition.

  3. Health Promotion Behaviors of Women and Affecting Factors

    Directory of Open Access Journals (Sweden)

    Naile Bilgili

    2009-12-01

    Full Text Available AIM: Women should be healthy and have health promotion behaviors, so they can accomplish both their maternal and social tasks. This descriptive study was conducted to determine the healthy life-style behaviors of married women and the factors which could affect those behaviors. METHOD: The population comprised all married women older than 15 years and who live in Ankara Kale region. Three hundred-sixty five married women were included in the study. The questionnaire form and the healthy life-style behaviors scale was used for data collection. RESULTS: The mean score taken from scale was 112.2±19.4. The scores of the women who graduated from middle school / high school, who have sufficient income and good socio-economic status, who have a perception of physical health fairly good and who have any chronic disease in their families, have significantly higher mean scores from healthy life-style behaviors scale and subgroups (p<0.05 CONCLUSION: Health promotion behaviors of the women was low and some factors like education level, income, socioeconomic status, perception of health, having any chronic illness and using regular medicine affected healthy life-style behaviors. It is recommended that nurses, who have education and consultation roles, should inform the women about health promotion behaviors and encourage them to use that information in their lives. [TAF Prev Med Bull 2009; 8(6.000: 497-502

  4. Social, Behavioral, and Biological Factors, and Sex Differences in Mortality

    OpenAIRE

    ROGERS, RICHARD G.; EVERETT, BETHANY G.; SAINT ONGE, JARRON M.; KRUEGER, PATRICK M.

    2010-01-01

    Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety of factors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox p...

  5. Factors relating to adolescent suicidal behavior: a cross-sectional Malaysian school survey.

    Science.gov (United States)

    Chen, Paul C Y; Lee, Lai Kah; Wong, Kam Cheong; Kaur, Jagmohni

    2005-10-01

    This study was undertaken to examine factors relating to adolescent suicide behavior. This was a cross-sectional school survey of 4,500 adolescent students based on a structured questionnaire. Data were collected using the supervised self-administered questionnaire (modified version of the Youth Risk Behavior Surveillance in the Malaysian National Language, Bahasa Malaysia). Seven percent (312 of 4,454) of the adolescent students had seriously considered attempting suicide. Among the adolescents, 4.6% had attempted suicide at least once during the 12 months preceding the survey. Female adolescents were more likely to put their suicidal thoughts into suicidal action than were male adolescents. Malay and Indian people are more likely than the Chinese to respond, "Felt sad and hopeless." However, Malay adolescents had the lowest rate of attempted suicide. Based on multiple logistic regression, factors significantly related to urban adolescents' suicide behavior are "Felt sad or hopeless," "Number of days felt unsafe to go to school," "Riding with a driver who had been drinking alcohol," "Physical fight," and "Number of days absent from school." In comparison, factors relating to rural adolescents' suicide behavior are "Felt sad or hopeless," "Physical fight," "Physical fight resulting in injury," and "Drive a vehicle after drinking alcohol." Adolescent suicide behavior should be viewed as a serious problem. Measures can be taken to prevent suicide by looking at the factors significantly linked to suicidal behavior among adolescents. Steps can then be taken to identify adolescents who have serious suicidal ideation so that intervention can be taken to reduce the suicidal rate.

  6. Road rage experience and behavior: vehicle, exposure, and driver factors.

    Science.gov (United States)

    Smart, Reginald; Stoduto, Gina; Mann, Robert; Adlaf, Edward

    2004-12-01

    Road rage has generated increasing public concern. Research has shown that victimization and perpetration of road rage is more common among males and younger drivers. We aimed to extend the understanding of determinants of road rage to driving exposure and vehicle factors, based on a 20022003 population survey of 1,631 regular drivers in Ontario, Canada. Regression analyses revealed that number of times drivers reported experiencing road rage in the previous 12 months was significantly greater for males, younger respondents, and those residing in Toronto. Also, victimization was significantly greater for drivers who did all their driving on busy roads and increased with number of kilometers driven on a typical week; however, type of vehicle driven was not significant. Number of times road rage perpetration was reported in the past 12 months was significantly greater for males, younger respondents, and those residing in Toronto, and lower for those in the Eastern and Northern region. Road rage perpetration increased significantly with number of weekly kilometers driven and was significantly greater for drivers who are always on busy roads and lower for those who never drive on busy roads, and higher for high-performance vehicle drivers. Even after controlling for driving exposure, road rage victimization and perpetration were highest for drivers in Toronto, where the pace of life may be more demanding. As expected, high-performance vehicle drivers reported more road rage perpetration. These individuals may experience more frustration when they are prevented from using the full performance capacities of their vehicles by crowded urban roadways.

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

    Directory of Open Access Journals (Sweden)

    Sarah R. Hayford

    2012-05-01

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

  8. Factors Associated with Binge Eating Behavior among Malaysian Adolescents

    Science.gov (United States)

    Mohamad, Normasliana

    2018-01-01

    Although there are numerous studies on binge eating behavior in the Western countries, studies on this behavior in Malaysia are still limited. Therefore, this cross-sectional study aimed to determine the risk factors associated with binge eating behavior among adolescents in Malaysia. The study included 356 adolescents (42.7% males and 57.3% females), aged 13 to 16 years. They completed a self-administered questionnaire on demographic and socioeconomic backgrounds, frequency of family meals, family meal environments, family cohesion, perception of body size, self-esteem, depressive symptoms, perfectionistic self-presentation, and binge eating behavior. Furthermore, their weight, height, and waist circumference were measured. It was found that 14.0% of the participants engaged in binge eating behavior (15.2% in females and 12.5% in males). Additionally, it was identified that high levels of depressive symptoms, high levels of body dissatisfaction, poor family cohesion, and low self-esteem were significantly contributed to binge eating behavior after controlling for sex (adjusted R2 = 0.165, F = 15.056, p < 0.001). The findings may suggest that improving the relationships between family members, along with eliminating adolescents’ negative emotions could help in the prevention of binge eating behavior among adolescents. The identified modifiable risk factors should be incorporated into binge eating preventive programs to increase the effectiveness of the programs. PMID:29320461

  9. Reward and punishment act as distinct factors in guiding behavior.

    Science.gov (United States)

    Kubanek, Jan; Snyder, Lawrence H; Abrams, Richard A

    2015-06-01

    Behavior rests on the experience of reinforcement and punishment. It has been unclear whether reinforcement and punishment act as oppositely valenced components of a single behavioral factor, or whether these two kinds of outcomes play fundamentally distinct behavioral roles. To this end, we varied the magnitude of a reward or a penalty experienced following a choice using monetary tokens. The outcome of each trial was independent of the outcome of the previous trial, which enabled us to isolate and study the effect on behavior of each outcome magnitude in single trials. We found that a reward led to a repetition of the previous choice, whereas a penalty led to an avoidance of the previous choice. Surprisingly, the effects of the reward magnitude and the penalty magnitude revealed a pronounced asymmetry. The choice repetition effect of a reward scaled with the magnitude of the reward. In a marked contrast, the avoidance effect of a penalty was flat, not influenced by the magnitude of the penalty. These effects were mechanistically described using a reinforcement learning model after the model was updated to account for the penalty-based asymmetry. The asymmetry in the effects of the reward magnitude and the punishment magnitude was so striking that it is difficult to conceive that one factor is just a weighted or transformed form of the other factor. Instead, the data suggest that rewards and penalties are fundamentally distinct factors in governing behavior. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. Factor structure and psychometric properties of a Romanian translation of the drive for Muscularity Scale (DMS) in university men.

    Science.gov (United States)

    Swami, Viren; Vintila, Mona; Tudorel, Otilia; Goian, Cosmin; Barron, David

    2018-02-20

    We examined the psychometric properties of a Romanian translation of the 15-item Drive for Muscularity Scale (DMS). Male university students from Romania (N = 343) completed the DMS, as well as measures of self-esteem, body appreciation, and muscle discrepancy. Exploratory factor analysis indicated that DMS scores reduced to two factors that related to muscularity-oriented attitudes and behaviours, with both first-order factors loading onto a higher-order factor. However, confirmatory factor analysis indicated that a model with two first-order factors and a higher-order factor had poor fit. A two-factor model without a higher-order construct achieved acceptable but mediocre fit. Scores on the two-factor DMS model had adequate internal consistency and demonstrated acceptable convergent validity (significant correlations with self-esteem, body appreciation, and muscle discrepancy). These results provide support for a two-factor model of DMS scores in a Romanian-speaking sample and extends the availability of the DMS to a rarely-examined linguistic group. Copyright © 2018 Elsevier Ltd. All rights reserved.

  11. Understanding watershed hydrogeochemistry: 2. Synchronized hydrological and geochemical processes drive stream chemostatic behavior

    Science.gov (United States)

    Li, Li; Bao, Chen; Sullivan, Pamela L.; Brantley, Susan; Shi, Yuning; Duffy, Christopher

    2017-03-01

    Why do solute concentrations in streams remain largely constant while discharge varies by orders of magnitude? We used a new hydrological land surface and reactive transport code, RT-Flux-PIHM, to understand this long-standing puzzle. We focus on the nonreactive chloride (Cl) and reactive magnesium (Mg) in the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO). Simulation results show that stream discharge comes from surface runoff (Qs), soil lateral flow (QL), and deeper groundwater (QG), with QL contributing >70%. In the summer, when high evapotranspiration dries up and disconnects most of the watershed from the stream, Cl is trapped along planar hillslopes. Successive rainfalls connect the watershed and mobilize trapped Cl, which counteracts dilution effects brought about by high water storage (Vw) and maintains chemostasis. Similarly, the synchronous response of clay dissolution rates (Mg source) to hydrological conditions, maintained largely by a relatively constant ratio between "wetted" mineral surface area Aw and Vw, controls Mg chemostatic behavior. Sensitivity analysis indicates that cation exchange plays a secondary role in determining chemostasis compared to clay dissolution, although it does store an order-of-magnitude more Mg on exchange sites than soil water. Model simulations indicate that dilution (concentration decrease with increasing discharge) occurs only when mass influxes from soil lateral flow are negligible (e.g., via having low clay surface area) so that stream discharge is dominated by relatively constant mass fluxes from deep groundwater that are unresponsive to surface hydrological conditions.

  12. Community Drive

    DEFF Research Database (Denmark)

    Magnussen, Rikke

    2018-01-01

    opportunity to break boundaries between research institutions and surrounding communities through the involvement of new types of actors, knowledge forms and institutions (OECD, 2011). This paper presents the project Community Drive a three year cross disciplinary community-driven game– and data-based project....... In the paper we present how the project Community Drive initiated in May 2018 is based on results from pilot projects conducted from 2014 – 2017. Overall these studies showed that it is a strong motivational factor for students to be given the task to change their living conditions through redesign...... of living in the area. The paper discusses potentials and pitfalls of designing community-driven science gaming environments and how results from previous studies can form the project Community Drive....

  13. Driving online shopping: Spending and behavioral differences among women in Saudi Arabia

    Directory of Open Access Journals (Sweden)

    Al-maghrabi, T.

    2010-01-01

    Full Text Available This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. The sample consists of 650 female respondents. A structural equation model confirms model fit. Perceived enjoyment, usefulness, and subjective norms are determinants of online shopping continuance in Saudi Arabia. High and low online spenders among women in Saudi Arabia are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived site quality to perceived usefulness is not invariant between high and low e-shoppers in Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the female respondents’ intention to continue shopping online. Online strategies cannot ignore either the direct and indirect spending differences on continuance intentions, and the model can be generalized across Saudi Arabia.

  14. The Homeobox Transcription Factor RHOX10 Drives Mouse Spermatogonial Stem Cell Establishment

    Directory of Open Access Journals (Sweden)

    Hye-Won Song

    2016-09-01

    Full Text Available The developmental origins of most adult stem cells are poorly understood. Here, we report the identification of a transcription factor—RHOX10—critical for the initial establishment of spermatogonial stem cells (SSCs. Conditional loss of the entire 33-gene X-linked homeobox gene cluster that includes Rhox10 causes progressive spermatogenic decline, a phenotype indistinguishable from that caused by loss of only Rhox10. We demonstrate that this phenotype results from dramatically reduced SSC generation. By using a battery of approaches, including single-cell-RNA sequencing (scRNA-seq analysis, we show that Rhox10 drives SSC generation by promoting pro-spermatogonia differentiation. Rhox10 also regulates batteries of migration genes and promotes the migration of pro-spermatogonia into the SSC niche. The identification of an X-linked homeobox gene that drives the initial generation of SSCs has implications for the evolution of X-linked gene clusters and sheds light on regulatory mechanisms influencing adult stem cell generation in general.

  15. Elevated TATA-binding protein expression drives vascular endothelial growth factor expression in colon cancer.

    Science.gov (United States)

    Johnson, Sandra A S; Lin, Justin J; Walkey, Christopher J; Leathers, Michael P; Coarfa, Cristian; Johnson, Deborah L

    2017-07-25

    The TATA-binding protein (TBP) plays a central role in eukaryotic gene transcription. Given its key function in transcription initiation, TBP was initially thought to be an invariant protein. However, studies showed that TBP expression is upregulated by oncogenic signaling pathways. Furthermore, depending on the cell type, small increases in cellular TBP amounts can induce changes in cellular growth properties towards a transformed phenotype. Here we sought to identify the specific TBP-regulated gene targets that drive its ability to induce tumorigenesis. Using microarray analysis, our results reveal that increases in cellular TBP concentrations produce selective alterations in gene expression that include an enrichment for genes involved in angiogenesis. Accordingly, we find that TBP levels modulate VEGFA expression, the master regulator of angiogenesis. Increases in cellular TBP amounts induce VEGFA expression and secretion to enhance cell migration and tumor vascularization. TBP mediates changes in VEGFA transcription requiring its recruitment at a hypoxia-insensitive proximal TSS, revealing a mechanism for VEGF regulation under non-stress conditions. The results are clinically relevant as TBP expression is significantly increased in both colon adenocarcinomas as well as adenomas relative to normal tissue. Furthermore, TBP expression is positively correlated with VEGFA expression. Collectively, these studies support the idea that increases in TBP expression contribute to enhanced VEGFA transcription early in colorectal cancer development to drive tumorigenesis.

  16. Factors Associated with Violent Behavior among Adolescents in Northeastern Brazil

    Science.gov (United States)

    Silva, Roberto Jerônimo dos Santos; Soares, Nara Michelle Moura; Cabral de Oliveira, Antônio César

    2014-01-01

    The aim of this study was to identify prevalence and factors associated with violent behavior among adolescents in Aracaju and Metropolitan region. The study included 2207 adolescents (16.03 ± 1.08 years old) enrolled in high schools of the State Public Network. Violent behavior was identified from question 14 of the YRBS-2007 questionnaire with responses categorized as “never” and “one or more times.” Higher prevalence in males in relation to risk factors for adoption of violent behavior was found: cigarette consumption (7.3%), alcohol consumption (39.1%), and marijuana use (3.4%). Data analysis used descriptive statistics and logistic regression with hierarchical model at two levels: (a) sociodemographic variables and (b) behavioral variables. For both sexes, association between violent behavior and cigarette smoking (OR = 3.77, CI 95% = 2.06–6.92 and OR = 1.99, CI 95% = 1.04 to 3.81, male and female, resp.) and alcohol consumption (OR = 3.38, CI 95% = 2.22 to 5.16 and OR = 1.83, CI 95% = 1.28 to 2.63, male and female, resp.) was verified. It was concluded that violent behavior is associated with the consumption of alcoholic beverages and cigarettes among adolescents. PMID:25548796

  17. Intrapersonal risk factors of aggressive behavior in childhood

    OpenAIRE

    Kirsch, Fabian

    2017-01-01

    BACKGROUND: Aggressive behavior at an early age is linked to a broad range of psychosocial problems in later life. That is why risk factors of the occurrence and the development of aggression have been examined for a long time in psychological science. The present doctoral dissertation aims to expand this research by investigating risk factors in three intrapersonal domains using the prominent social-information processing approach by Crick and Dodge (1994) as a framework model. Anger regulat...

  18. What Drives Wine Expenditure in the United States? A Four-State Wine Market Segmentation and Consumer Behaviors Study

    OpenAIRE

    Deng, Xueting; Woods, Timothy

    2014-01-01

    This study explores wine expenditure driven factors for consumers in the United States by employing a four-state consumer behaviors study. A market segmentation method is applied to investigate spending patterns of 1,609 wine consumers in Pennsylvania, Ohio, Kentucky, and Tennessee. Determinants including wine consumption frequency, preference of differently priced wines, wine knowledge, past wine experience, and “local” involvement are investigated and compared for their significance in driv...

  19. Indigenous Adolescents' Suicidal Behaviors and Risk Factors: Evidence from the National Youth Risk Behavior Survey.

    Science.gov (United States)

    Qiao, Nan; Bell, Teresa Maria

    2017-06-01

    The study sought to examine indigenous adolescents' suicidal behaviors and risk factors in a nationally representative sample and explore potential causes of disparities. The study analyzed the 1991-2013 Youth Risk Behavior Survey National Combined Datasets. Suicidal behavior outcomes included suicide consideration, planning, and attempts during the past 12 months. Logit regressions were used to estimate the effects of potential suicide risk factors on these suicidal behaviors. The results showed that a high percentage of indigenous adolescents exhibited suicidal behaviors (consideration: 24.6 %; planning: 20.7 %; attempts: 16.2 %). After adjusting for risk factors, indigenous adolescents were no more likely than other adolescents to consider or plan for suicide (consideration: OR 1.18, CI 0.96-1.45, p = 0.125; planning: OR 1.16, CI 0.95-1.42, p = 0.156); however, they remained significantly more likely to have made suicide attempts (OR 1.73, CI 1.32-2.26, p suicidal behaviors could be explained by the heterogeneous prevalence of suicidal risk factors across different races/ethnicities.

  20. Factors that Determine Child Behavior during Dental Treatment

    Directory of Open Access Journals (Sweden)

    Bajrić Elmedin

    2016-07-01

    Full Text Available In this review paper we wanted to summarize all the aspects which could affect the behavior of the child patients in the dental office. At the beginning, the factors that are related to the child patients are mentioned. Various segments of child psychological, cognitive, physiological and other kinds of development are discussed. Also, the reasons for dental fear and anxiety (DFA and dental behavior problems (DBP were analyzed, and how the child dental patients could cope with them. Finally, types of patients according to their behavior in the dental office were discussed. Furthermore, the influences of child patients’ parents were studied, including parenting styles, as well as factors related to dentist, dental team and the dental office. Finally, critical evaluation of administration of assets to measure the presence of DFA and DBP is provided. Every part of the text was corroborated by the results from our own and other authors’ recent bibliography data.

  1. [Factors effecting health promoting behaviors in middle-aged women].

    Science.gov (United States)

    Lee, Kun-Ja; Chang, Chun-Ja; Yoo, Jae-Hee; Yi, Yeo-Jin

    2005-06-01

    This study was to evaluate the casual relationship between the factors in the Pender's model and to explain health promoting behaviors among middle-aged women in order to facilitate nursing interventions for this population group. 116 women between 40-60 years old living in Incheon were asked to complete a questionnaire about their health. The data was collected between March and November, 2003. The data was analyzed by descriptive statistics and the correctional analysis SPSSWIN 11.5 program. The LISREL 8.12 program was used to find the best fit model which explained a causal relationship of the variables. The climacteric symptoms of middle-aged women negatively correlated with health promoting behaviors. However, marital satisfaction positively correlated with health promoting behaviors. Marital satisfaction and climacteric symptoms had an effect on health promoting behaviors. Therefore, based on this study, we plan to develop a health education program to decrease climacteric symptoms and to promote marital satisfaction for health promotion.

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

    NARCIS (Netherlands)

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

    2011-01-01

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

  3. Personality factors underlying suicidal behavior among military youth.

    Science.gov (United States)

    Soltaninejad, Abdollah; Fathi-Ashtiani, Ali; Ahmadi, Khodabakhsh; Mirsharafoddini, Hediye Sadat; Nikmorad, Alireza; Pilevarzadeh, Motahare

    2014-04-01

    Suicidal behavior is one the most significant mental health problems in the military. Militaries are closed systems that operate in particular situations. Military service is associated with certain stressful conditions. On this basis, there is likely of trauma in the military environment. Measures of suicidal behavior are pathologically complex. A range of biological, psychological, social, and institutional factors are involved in the incidence and prevalence of these behaviors. One of the underlying factors in suicidal behavior is individuals' personality. The study population comprised of the Iranian Armed Forces. To recruit the sample of the research, 1659 soldiers were selected by multistage sampling. Data were collected using the Beck Scale for Suicide Ideation (BSSI) and NEO-Five Factor Inventory. There was a significant positive correlation (r = 0.323) between neuroticism and suicide ideation; however, significant negative correlations existed between three other personality traits --extraversion [r = -0.306], agreeableness [r = -0.227], and conscientiousness [r = -0.271] and suicidal ideation. Unlike neuroticism, extraversion and conscientiousness personality factors could reduce significantly (as much 14% as are predicted) levels of suicidal ideation. Based on these results, neuroticism might increase suicide, but extraversion and conscientiousness personality traits are associated with a reduced risk of suicide.

  4. Factors affecting the success of development projects : A behavioral perspective

    NARCIS (Netherlands)

    Aga, Deribe Assefa

    2016-01-01

    This dissertation sought to examine behavioral-related critical success factors in the context of Non-Governmental Organization (NGO) sector development projects in Ethiopia. The dissertation applied both a cross-sectional survey design and an experimental design in separate settings, and it is

  5. Exploring Factors that Influence Students' Behaviors in Information Security

    Science.gov (United States)

    Yoon, Cheolho; Hwang, Jae-Won; Kim, Rosemary

    2012-01-01

    Due to the ever-increasing use of the Internet, information security has become a critical issue in society. This is especially the case for young adults who have different attitudes towards information security practices. In this research, we examine factors that motivate college students' information security behaviors. Based on the concept of…

  6. Factors and Predictors of Online Security and Privacy Behavior

    Directory of Open Access Journals (Sweden)

    Goran Bubaš

    2008-12-01

    Full Text Available Assumptions and habits regarding computer and Internet use are among the major factors which influence online privacy and security of Internet users. In our study a survey was performed on 312 subjects (college students who are Internet users with IT skills that investigated how assumptions and habits of Internet users are related to their online security and privacy. The following four factors of online security and privacy related behaviors were revealed in factor analysis: F1 – conscientiousness in the maintenance of the operating system, upgrading of the Internet browser and use of antivirus and antispyware programs; F2 –engagement in risky and careless online activities with lack of concern for personal online privacy; F3 – disbelief that privacy violations and security threats represent possible problems; F4 – lack of fear regarding potential privacy and security threats with no need for change in personal online behavior. Statistically significant correlations were found between some of the discovered factors on the one side, and criteria variables occurrence of malicious code (C1 and data loss on the home computer (C2 on the other. In addition, a regression analysis was performed which revealed that the potentially risky online behaviors of Internet users were associated with the two criteria variables. To properly interpret the results of correlation and regression analyses a conceptual model was developed of the potential causal relationships between the behavior of Internet users and their experiences with online security threats. An additional study was also performed which partly confirmed the conceptual model, as well as the factors of online security and privacy related behaviors.

  7. Gender perspective on the factors predicting recycling behavior: Implications from the theory of planned behavior.

    Science.gov (United States)

    Oztekin, Ceren; Teksöz, Gaye; Pamuk, Savas; Sahin, Elvan; Kilic, Dilek Sultan

    2017-04-01

    This study aimed to assess the role of some socio-psychological attributes in explaining recycling behavior of Turkish university community from a gender perspective within the context of the theory of planned behavior with an additional variable (past experience). The recycling behavior of whole sample, females and males, has been examined in 3 sessions -depending on the arguments that explain gendered pattern of private and public environmental behavior and sticking to the fact why females' stronger environmental values, beliefs, and attitudes do not translate consistently into greater engagement in public behavior. As a result of model runs, different variables shaping intention for behavior have been found, namely perceived behavior control for females and past behavior for males. Due to the low percent of the variance in explaining recycling behavior of females, they have been identified as the ones who do not carry out intentions (non-recyclers). Since intentions alone are capable of identifying recyclers accurately but not non-recyclers, there may be other factors to be considered to understand the reason for females not carrying out the intentions. The results of descriptive statistics supported the identification by attitudes toward recycling. Female attitudes were innate (recycling is good, necessary, useful and sensitive), whereas those of males were learnt (recycling is healthy, valuable and correct). Thus, it has been concluded that males' intention for recycling is shaped by their past behavior and the conclusion is supported by males having learnt attitude toward recycling whereas females' lack of intention for recycling is shaped by their perceived behavior control and is supported by their innate attitude for recycling. All in all, the results of the present study provide further support for the utility of the TPB as a model of behavioral prediction and concur with other studies examining the utility of the TPB in the context of recycling

  8. The Comparison and Modeling of the Driving Factors of Urban Expansion for Thirty-Five Big Cities in the Three Regions in China

    Directory of Open Access Journals (Sweden)

    Tian Guangjin

    2016-01-01

    Full Text Available This paper presents a national- and regional-scale urban growth model (NRUGM of China based on panel data analysis. Through the panel analysis, population growth, road construction, salary increment per capita, and secondary industry product increment were proven to be the major driving factors for national-scale urban expansion. According to Seventh Five-Year Plan, China had been divided into three regions, Eastern China, Middle China, and Western China, by their geographic position and economic development. We studied the relationship between urban expansion and the driving factors for the three regions between 1990 and 2010 in China. The driving factors of urban expansion were different for the different regions and periods. Population growth and road construction were identified as the two major factors driving urban expansion for Eastern China. Secondary industry and economic development had become the major driving factors for urban expansion over the last twenty years in Middle China. Over the same period, for Western China, economic growth had become the major driving factor for urban expansion. Our results have significant policy implications for China. The macrocontrol of the central government should utilize different policies to adjust urban expansion in the different regions.

  9. The role of selection and historical factors in driving population differentiation along an elevational gradient in an island bird.

    Science.gov (United States)

    Bertrand, J A M; Delahaie, B; Bourgeois, Y X C; Duval, T; García-Jiménez, R; Cornuault, J; Pujol, B; Thébaud, C; Milá, B

    2016-04-01

    Adaptation to local environmental conditions and the range dynamics of populations can influence evolutionary divergence along environmental gradients. Thus, it is important to investigate patterns of both phenotypic and genetic variations among populations to reveal the respective roles of these two types of factors in driving population differentiation. Here, we test for evidence of phenotypic and genetic structure across populations of a passerine bird (Zosterops borbonicus) distributed along a steep elevational gradient on the island of Réunion. Using 11 microsatellite loci screened in 401 individuals from 18 localities distributed along the gradient, we found that genetic differentiation occurred at two spatial levels: (i) between two main population groups corresponding to highland and lowland areas, respectively, and (ii) within each of these two groups. In contrast, several morphological traits varied gradually along the gradient. Comparison of neutral genetic differentiation (FST ) and phenotypic differentiation (PST ) showed that PST largely exceeds FST at several morphological traits, which is consistent with a role for local adaptation in driving morphological divergence along the gradient. Overall, our results revealed an area of secondary contact midway up the gradient between two major, cryptic, population groups likely diverged in allopatry. Remarkably, local adaptation has shaped phenotypic differentiation irrespective of population history, resulting in different patterns of variation along the elevational gradient. Our findings underscore the importance of understanding both historical and selective factors when trying to explain variation along environmental gradients. © 2016 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2016 European Society For Evolutionary Biology.

  10. Grassland Carbon Budget and Its Driving Factors of the Subtropical and Tropical Monsoon Region in China During 1961 to 2013.

    Science.gov (United States)

    Zhang, Li; Zhou, GuangSheng; Ji, YuHe; Bai, YongFei

    2017-11-07

    The southern grasslands are an integral part of the grassland ecosystems of China and play an essential role in the terrestrial carbon cycle of the country. We reproduced the spatiotemporal dynamics of the carbon budget of southern grasslands from 1961 to 2013 using the Terrestrial Ecosystem Model and our results showed that the annual carbon budget varied from -8.12 to 6.16 Tg C y -1 with an annual average of 0.45 Tg C y -1 during the study period. Overall, southern grasslands acted as a weak carbon sink and sequestrated 23.83 Tg C from 1961 to 2013. At the seasonal scale, southern grasslands acted as a carbon sink in wet seasons but as a carbon source in dry seasons. During the study period, temperature and precipitation were the main factors driving carbon budget dynamics at the seasonal scale, while soil moisture was the main driving factor at the annual scale. Over the entire study region, 71.81% of the area switched to being a carbon sink while only 5.90% remained stable and the strong carbon sinks were mainly found in the southern, northern and western areas of the southern grasslands.

  11. Liver-derived systemic factors drive β-cell hyperplasia in insulin resistant states

    Energy Technology Data Exchange (ETDEWEB)

    El Ouaamari, Abdelfattah; Kawamori, Dan; Dirice, Ercument; Liew, Chong Wee; Shadrach, Jennifer L.; Hu, Jiang; Katsuta, Hitoshi; Hollister-Lock, Jennifer; Qian, Weijun; Wagers, Amy J.; Kulkarni, Rohit N.

    2013-02-21

    Integrative organ cross-talk regulates key aspects of energy homeostasis and its dysregulation may underlie metabolic disorders such as obesity and diabetes. To test the hypothesis that cross-talk between the liver and pancreatic islets modulates β-cell growth in response to insulin resistance, we used the Liver-specific Insulin Receptor Knockout (LIRKO) mouse, a unique model that exhibits dramatic islet hyperplasia. Using complementary in vivo parabiosis and transplantation assays, and in vitro islet culture approaches, we demonstrate that humoral, non-neural, non-cell autonomous factor(s) induce β-cell proliferation in LIRKO mice. Furthermore, we report that a hepatocyte-derived factor(s) stimulates mouse and human β-cell proliferation in ex vivo assays, independent of ambient glucose and insulin levels. These data implicate the liver as a critical source of β-cell growth factors in insulin resistant states.

  12. Prevalence of risky behaviors and related factors among students of Dezful University of Medical Sciences in 2014

    Directory of Open Access Journals (Sweden)

    Malihe sohrabivafa

    2017-06-01

    Full Text Available Introduction: Adolescence is a period of evolution that there is the incidence probability of risky behaviors such as drug abuse, risky sexual behavior and compatibility problems. The goal of this study was to investigate the prevalence rate of risky behaviors among students of Dezful University of Medical Sciences in 2014.Method: This is a descriptive-analytical cross-sectional study, which cluster random sampling were used to selecting subjects. Young's Risk Behaviors Scale (YRBS was used to evaluate risky behaviors and factors affecting it. The mean, standard deviation, Chi-square tests, t-tests and ANOVA were used to analysis of data.Results: The study was included 150 (50% female and 150 (50% male. The most frequency was the age group of 20-24 years old. There was a statistically significant difference between average scores of risky behaviors among female and male students (p˂0.05. The results of study showed that the prevalence of risky behaviors, high speed in driving and drug consumption is different in various fields of study (p˂0.05.Conclusion: The prevalence of risky behaviors among students of Dezful University is relatively low, and the prevalence of these behaviors in girls was far less than male students. Risky behaviors were associated with background variables exception of mother's job. 

  13. A Novel NHE1-Centered Signaling Cassette Drives Epidermal Growth Factor Receptor–Dependent Pancreatic Tumor Metastasis and Is a Target for Combination Therapy

    Directory of Open Access Journals (Sweden)

    Rosa Angela Cardone

    2015-02-01

    Full Text Available Pancreatic ductal adenocarcinoma (PDAC is one of the most lethal cancers principally because of early invasion and metastasis. The epidermal growth factor receptor (EGFR is essential for PDAC development even in the presence of Kras, but its inhibition with erlotinib gives only a modest clinical response, making the discovery of novel EGFR targets of critical interest. Here, we revealed by mining a human pancreatic gene expression database that the metastasis promoter Na+/H+ exchanger (NHE1 associates with the EGFR in PDAC. In human PDAC cell lines, we confirmed that NHE1 drives both basal and EGF-stimulated three-dimensional growth and early invasion via invadopodial extracellular matrix digestion. EGF promoted the complexing of EGFR with NHE1 via the scaffolding protein Na+/H+ exchanger regulatory factor 1, engaging EGFR in a negative transregulatory loop that controls the extent and duration of EGFR oncogenic signaling and stimulates NHE1. The specificity of NHE1 for growth or invasion depends on the segregation of the transient EGFR/Na+/H+ exchanger regulatory factor 1/NHE1 signaling complex into dimeric subcomplexes in different lipid raftlike membrane domains. This signaling complex was also found in tumors developed in orthotopic mice. Importantly, the specific NHE1 inhibitor cariporide reduced both three-dimensional growth and invasion independently of PDAC subtype and synergistically sensitized these behaviors to low doses of erlotinib.

  14. Factors driving deforestation in common-pool resources in northern Mexico.

    Science.gov (United States)

    Perez-Verdin, Gustavo; Kim, Yeon-Su; Hospodarsky, Denver; Tecle, Aregai

    2009-01-01

    The theory of collective action has been extensively used to explain the relationship between common-based property regimes and the conservation of natural resources. However, there are two key components of the theory that literature reports as puzzles in which no consensus exists about their effect on the performance of common-pool resources. These are group size and heterogeneity. This study analyzes the effects of these two key components on the effectiveness of community-based forestry, called ejidos, to protect their forest resources in northern Mexico. We used a multinomial logit model to determine the contribution of 16 explanatory variables to the dependent variable, a measure of success of ejidos defined by the presence of deforested, degraded, or forested conditions. The results show that corn yield, marginality, percent of forest area, total population, a forest value index, distance to markets, roads and towns, were all statistically significant in driving deforested conditions. Deforestation becomes more attractive for poor communities and as corn yield and distance to towns, roads, and markets decrease. In general, group size and heterogeneity had no significant effects on the presence of deforested conditions. Deforestation is driven by resource-specific characteristics, such as location and soil productivity, not by ejidos' attributes, such as total area or number of members. We argue that current institutional policies focusing on the structure of property right arrangements should be shifted (1) to provide better technology for land cultivation; (2) to reduce the marginality problem in poor communities; and (3) to strengthen local institutions.

  15. Effect of audio in-vehicle red light-running warning message on driving behavior based on a driving simulator experiment.

    Science.gov (United States)

    Yan, Xuedong; Liu, Yang; Xu, Yongcun

    2015-01-01

    Drivers' incorrect decisions of crossing signalized intersections at the onset of the yellow change may lead to red light running (RLR), and RLR crashes result in substantial numbers of severe injuries and property damage. In recent years, some Intelligent Transport System (ITS) concepts have focused on reducing RLR by alerting drivers that they are about to violate the signal. The objective of this study is to conduct an experimental investigation on the effectiveness of the red light violation warning system using a voice message. In this study, the prototype concept of the RLR audio warning system was modeled and tested in a high-fidelity driving simulator. According to the concept, when a vehicle is approaching an intersection at the onset of yellow and the time to the intersection is longer than the yellow interval, the in-vehicle warning system can activate the following audio message "The red light is impending. Please decelerate!" The intent of the warning design is to encourage drivers who cannot clear an intersection during the yellow change interval to stop at the intersection. The experimental results showed that the warning message could decrease red light running violations by 84.3 percent. Based on the logistic regression analyses, drivers without a warning were about 86 times more likely to make go decisions at the onset of yellow and about 15 times more likely to run red lights than those with a warning. Additionally, it was found that the audio warning message could significantly reduce RLR severity because the RLR drivers' red-entry times without a warning were longer than those with a warning. This driving simulator study showed a promising effect of the audio in-vehicle warning message on reducing RLR violations and crashes. It is worthwhile to further develop the proposed technology in field applications.

  16. Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol

    OpenAIRE

    Nicole Grunewald; Inmaculada Martínez-Zarzoso

    2009-01-01

    In the last two decades increasing attention has been paid to the relationship between environmental quality and economic development. According to the Environmental Kuznets Curve (EKC) hypothesis this relationship may be described by an inverted-U curve. However, recent evidence rejects the EKC hypothesis for GHG emissions in a broad sense. In this paper we aim to investigate whether the EKC behavior for CO2 emissions could be proved on the behalf of institutional regulations. We analyze the...

  17. Social, Behavioral, and Biological Factors, and Sex Differences in Mortality

    Science.gov (United States)

    ROGERS, RICHARD G.; EVERETT, BETHANY G.; SAINT ONGE, JARRON M.; KRUEGER, PATRICK M.

    2010-01-01

    Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety of factors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex differences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we control for women’s lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women’s greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors— including indicators of inflammation and cardiovascular risk—also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence of risk factors differs by sex, the impact of those risk factors on mortality is similar for men and women. PMID:20879677

  18. Abiotic factors drives floristic variations of fern’s metacommunity in an Atlantic Forest remnant

    OpenAIRE

    L. E. N. Costa; R. P. Farias; A. C. P. Santiago; I. A. A. Silva; I. C. L. Barros

    2018-01-01

    Abstract We analyzed floristic variations in fern’s metacommunity at the local scale and their relationship with abiotic factors in an Atlantic Forest remnant of northeastern Brazil. Floristic and environmental variations were accessed on ten plots of 10 × 20 m. We performed cluster analyses, based on Bray-Curtis dissimilarity index to establish the floristic relationship. The influence of abiotic factors: luminosity, temperature, relative air humidity and relative soil moisture was evaluated...

  19. Plant diversity drives soil microbial biomass carbon in grasslands irrespective of global environmental change factors.

    Science.gov (United States)

    Thakur, Madhav Prakash; Milcu, Alexandru; Manning, Pete; Niklaus, Pascal A; Roscher, Christiane; Power, Sally; Reich, Peter B; Scheu, Stefan; Tilman, David; Ai, Fuxun; Guo, Hongyan; Ji, Rong; Pierce, Sarah; Ramirez, Nathaly Guerrero; Richter, Annabell Nicola; Steinauer, Katja; Strecker, Tanja; Vogel, Anja; Eisenhauer, Nico

    2015-11-01

    Soil microbial biomass is a key determinant of carbon dynamics in the soil. Several studies have shown that soil microbial biomass significantly increases with plant species diversity, but it remains unclear whether plant species diversity can also stabilize soil microbial biomass in a changing environment. This question is particularly relevant as many global environmental change (GEC) factors, such as drought and nutrient enrichment, have been shown to reduce soil microbial biomass. Experiments with orthogonal manipulations of plant diversity and GEC factors can provide insights whether plant diversity can attenuate such detrimental effects on soil microbial biomass. Here, we present the analysis of 12 different studies with 14 unique orthogonal plant diversity × GEC manipulations in grasslands, where plant diversity and at least one GEC factor (elevated CO2 , nutrient enrichment, drought, earthworm presence, or warming) were manipulated. Our results show that higher plant diversity significantly enhances soil microbial biomass with the strongest effects in long-term field experiments. In contrast, GEC factors had inconsistent effects with only drought having a significant negative effect. Importantly, we report consistent non-significant effects for all 14 interactions between plant diversity and GEC factors, which indicates a limited potential of plant diversity to attenuate the effects of GEC factors on soil microbial biomass. We highlight that plant diversity is a major determinant of soil microbial biomass in experimental grasslands that can influence soil carbon dynamics irrespective of GEC. © 2015 John Wiley & Sons Ltd.

  20. Probabilistic Multi-Factor Interaction Model for Complex Material Behavior

    Science.gov (United States)

    Abumeri, Galib H.; Chamis, Christos C.

    2010-01-01

    Complex material behavior is represented by a single equation of product form to account for interaction among the various factors. The factors are selected by the physics of the problem and the environment that the model is to represent. For example, different factors will be required for each to represent temperature, moisture, erosion, corrosion, etc. It is important that the equation represent the physics of the behavior in its entirety accurately. The Multi-Factor Interaction Model (MFIM) is used to evaluate the divot weight (foam weight ejected) from the external launch tanks. The multi-factor has sufficient degrees of freedom to evaluate a large number of factors that may contribute to the divot ejection. It also accommodates all interactions by its product form. Each factor has an exponent that satisfies only two points - the initial and final points. The exponent describes a monotonic path from the initial condition to the final. The exponent values are selected so that the described path makes sense in the absence of experimental data. In the present investigation, the data used were obtained by testing simulated specimens in launching conditions. Results show that the MFIM is an effective method of describing the divot weight ejected under the conditions investigated. The problem lies in how to represent the divot weight with a single equation. A unique solution to this problem is a multi-factor equation of product form. Each factor is of the following form (1 xi/xf)ei, where xi is the initial value, usually at ambient conditions, xf the final value, and ei the exponent that makes the curve represented unimodal that meets the initial and final values. The exponents are either evaluated by test data or by technical judgment. A minor disadvantage may be the selection of exponents in the absence of any empirical data. This form has been used successfully in describing the foam ejected in simulated space environmental conditions. Seven factors were required

  1. Risk factors that influence suicidal behavior in affective disorders

    Directory of Open Access Journals (Sweden)

    Stanojević Albina

    2016-01-01

    Full Text Available It is known in the literature that the incidence and prevalence of suicide and attempted suicide in psychiatric patients is significantly higher than in the general population. The paper examined risk factors for suicidal behavior in the category of admitted patients hospitalized with the diagnosis of sleep disorders and affective (Unipolar resp. Bipolar depression. Study activated by 80 patients, 40 in both diagnostic groups received treatment at the Special Psychiatric Hospital in Gornja Toponica near Nis. The work methodology used are: psychiatric interview, Hamilton Depression Rating Scale (HAMD, and the C-SSRS (Columbia-Suicide Severity Rating Scale- assessment tool that assesses suicidal ideation and behavior. The study results show that there is a relationship between suicidal behavior (suicide attempts and suicidal ideation and the diagnosis of bipolar affective disorder, positive history of previous suicide attempts, so that these factors are stronger, to the degree of suicidality higher. On this sample, clearly suicidal behavior, with the same purpose, intensity of suicidal thoughts and medical impairment after suicide attempts were significantly more frequent in patients with Bipolar Affective Disorder in the depressive phase of the illness. Patients with a previous suicide attempt, and poor personal and social circumstances had a higher rate of attempted suicide.

  2. Dental Anxiety and its Association with Behavioral Factors in Children

    OpenAIRE

    POPESCU, SANDA MIHAELA; DASC?LU, IONELA TEODORA; SCRIECIU, MONICA; MERCU?, VERONICA; MORARU, IREN; ?UCULIN?, MIHAELA JANA

    2014-01-01

    Background: Dental anxiety is a condition that causes a decrease in population addressability to the dentist with adverse consequences for long-term oral health. Assessment of behavioral factors that correlate with dental anxiety is important for accurate evaluation of dental fear. Its diagnosis in childhood is important for establishing therapeutic management strategies to reduce anxiety and promote oral health. Objective: To determine the prevalence of dental anxiety in a group of Romanian ...

  3. Transgenerational Social Stress, Immune Factors, Hormones, and Social Behavior

    Directory of Open Access Journals (Sweden)

    Christopher Anthony Murgatroyd

    2016-01-01

    Full Text Available A social signal transduction theory of depression has been proposed that states that exposure to social adversity alters the immune response and these changes mediate symptoms of depression such as anhedonia and impairments in social behavior. The exposure of maternal rats to the chronic social stress (CSS of a male intruder depresses maternal care and impairs social behavior in the F1 and F2 offspring of these dams. The objective of the present study was to characterize basal peripheral levels of several immune factors and related hormone levels in the adult F2 offspring of CSS exposed dams and assess whether changes in these factors are associated with previously reported deficits in allogrooming behavior. CSS decreased acid glycoprotein (α1AGP and intercellular adhesion molecule-1 (ICAM-1 in F2 females, and increased granulocyte macrophage-colony stimulating factor (GM-CSF in F2 males. There were also sex dependent changes in IL-18, tissue inhibitors of metalloproteinases 1 (TIMP-1, and vascular endothelial growth factor (VEGF. Progesterone was decreased and alpha melanocyte stimulating hormone (α-MSH was increased in F2 males, and brain-derived neurotrophic factor (BDNF was decreased in F2 females. Changes in α1AGP, GM-CSF, progesterone and α-MSH were correlated with decreased allogrooming in the F2 offspring of stressed dams. These results support the hypothesis that transgenerational social stress affects both the immune system and social behavior, and also support previous studies on the adverse effects of early life stress on immune functioning and stress associated immunological disorders, including the increasing prevalence of asthma. The immune system may represent an important transgenerational etiological factor in disorders which involve social and/or early life stress associated changes in social behavior, such as depression, anxiety, and autism, as well as comorbid immune disorders. Future studies involving immune and

  4. Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises’ Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels

    Directory of Open Access Journals (Sweden)

    Bing Xia

    2018-03-01

    Full Text Available Tourism is an important sustainable industry in the economy that optimizes the industrial structure. Thus, as a core part of this market, tourism enterprises perform a key role in the effective operation of this industry. This paper applies data envelopment analysis (DEA and Malmquist index (MI models to calculate the efficiency of Chinese tourism enterprises between 2005 and 2014. Results showed that: (1 The efficiency and the total factor productivity change index (TFPC of tourism enterprises remained low, and both have decreased. (2 The efficiency of regional tourism enterprises across China cloud be characterized as high in the east region, low in the central region, and high in both northeast and western regions. (3 The efficiency levels of the cities of Beijing and Shanghai were ahead of the country over the period of this study, while Chongqing, Tibet, Qinghai, and Ningxia all possess a number of obvious advantages in the western region. (4 Centers of overall tourism enterprise efficiency mainly moved in a southeast-to-northwest direction over the period of this research. (5 The spatial autocorrelation of tourism enterprise efficiencies is also assessed in this study, and the results show that the comprehensive efficiency (CE of tourism enterprises in southeastern coastal regions of China tended to a certain spatial agglomeration effect, while the correlation between the central region and northern China was not significant. (6 The Geodetector model is applied to analyze the key factors driving the spatial differentiation of tourism enterprise efficiencies, and the results show that the degree of opening to the outside world, potential human capital, and traffic conditions were the most important factors driving spatial differentiation in the efficiency of tourism enterprises.

  5. [Hunger and satiety factors in the regulation of pleasure associated with feeding behavior].

    Science.gov (United States)

    Fetissov, Sergueï O

    2016-01-01

    Feeding is an instinctive behavior accompanied by rewarding feeling of pleasure during obtaining and ingesting food, corresponding to the preparatory and consummatory phases of motivated behavior, respectively. Perception of this emotional state together with alternating feelings of hunger and satiety drives the feeding behavior. Because alterations of feeding behavior including either overeating or anorexia may lead to obesity and cachexia, respectively, understanding the neurochemical mechanisms of regulation of feeding pleasure may help to develop new therapies of these diseases. The dopamine (DA) system of the mesolimbic projections plays a key role in behavioral reward in general and is also involved in regulating feeding-associated pleasure in the forebrain including the nucleus accumbens (NAc) and the lateral hypothalamic area (LHA). It suggests that this DA system can be selectively activated by factors specific to different types of motivated behavior including hunger- and satiety- related hormones. Indeed, central administrations of either orexigenic ghrelin or anorexigenic α-melanocyte-stimulating hormone (α-MSH) increase DA release in the NAc. However, DA has also been shown to inhibit food intake when injected into the LHA, historically known as a « hunger center », indicating DA functional involvement in regulation of both appetite and feeding pleasure. Although both NAc and LHA contain neurons expressing melanocortin receptors, only the LHA receives the α-MSH containing nerve terminals from the α-MSH producing neurons of the hypothalamic arcuate nucleus, the main relay of the peripheral hunger and satiety signals to the brain. A recent study showed that α-MSH in the LHA enhances satiety and inhibits feeding pleasure while potently stimulating DA release in this area during both preparatory and consummatory phases of feeding. It suggests that altered signaling by α-MSH to the DA system in the LHA may be involved in the pathophysiology of

  6. Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing

    Directory of Open Access Journals (Sweden)

    Zimu Jia

    2018-04-01

    Full Text Available A change in the usage of land is influenced by a variety of driving factors and policies on spatial constraints. On the basis of considering the conventional natural and socio-economic indicators, the landscape pattern indicators were considered as new driving forces in the conversion of land use and its effects at small regional extent (CLUE-S model to simulate spatial and temporal changes of land-use in Beijing. Compared with traditional spatial restrictions characterized by small and isolated areas, such as forest parks and natural reserves, the ecological redline areas increase the spatial integrity and connectivity of ecological and environmental functions at a regional scale, which were used to analyze the distribution patterns and behaviors of land use conversion in the CLUE-S model. The observed results indicate that each simulation scenario has a Kappa coefficient of more than 0.76 beyond the threshold value of 0.6 and represents high agreements between the actual and simulated land use maps. The simulation scenarios including landscape pattern indicators are more accurate than those without consideration of these new driving forces. The simulation results from using ecological redline areas as space constraints have the highest precision compared with the unrestricted and traditionally restricted scenarios. Therefore, the CLUE-S model based on the restriction of ecological redline and the consideration of landscape pattern factors has shown better effectiveness in simulating the future land use change. The conversion of land use types mainly occurred between construction land and cropland during the period from 2010 to 2020. Meanwhile, a large number of grasslands are being changed to construction lands in the mountain towns of northwest Beijing and large quantities of water bodies have disappeared and been replaced by construction lands due to rapid urbanization in the eastern and southern plains. To improve the sustainable use of

  7. Modeling soil organic carbon dynamics and their driving factors in the main global cereal cropping systems

    Science.gov (United States)

    Wang, Guocheng; Zhang, Wen; Sun, Wenjuan; Li, Tingting; Han, Pengfei

    2017-10-01

    Changes in the soil organic carbon (SOC) stock are determined by the balance between the carbon input from organic materials and the output from the decomposition of soil C. The fate of SOC in cropland soils plays a significant role in both sustainable agricultural production and climate change mitigation. The spatiotemporal changes of soil organic carbon in croplands in response to different carbon (C) input management and environmental conditions across the main global cereal systems were studied using a modeling approach. We also identified the key variables that drive SOC changes at a high spatial resolution (0.1° × 0.1°) and over a long timescale (54 years from 1961 to 2014). A widely used soil C turnover model (RothC) and state-of-the-art databases of soil and climate variables were used in the present study. The model simulations suggested that, on a global average, the cropland SOC density increased at annual rates of 0.22, 0.45 and 0.69 Mg C ha-1 yr-1 under crop residue retention rates of 30, 60 and 90 %, respectively. Increasing the quantity of C input could enhance soil C sequestration or reduce the rate of soil C loss, depending largely on the local soil and climate conditions. Spatially, under a specific crop residue retention rate, relatively higher soil C sinks were found across the central parts of the USA, western Europe, and the northern regions of China. Relatively smaller soil C sinks occurred in the high-latitude regions of both the Northern and Southern hemispheres, and SOC decreased across the equatorial zones of Asia, Africa and America. We found that SOC change was significantly influenced by the crop residue retention rate (linearly positive) and the edaphic variable of initial SOC content (linearly negative). Temperature had weak negative effects, and precipitation had significantly negative impacts on SOC changes. The results can help guide carbon input management practices to effectively mitigate climate change through soil C

  8. Modeling soil organic carbon dynamics and their driving factors in the main global cereal cropping systems

    Directory of Open Access Journals (Sweden)

    G. Wang

    2017-10-01

    Full Text Available Changes in the soil organic carbon (SOC stock are determined by the balance between the carbon input from organic materials and the output from the decomposition of soil C. The fate of SOC in cropland soils plays a significant role in both sustainable agricultural production and climate change mitigation. The spatiotemporal changes of soil organic carbon in croplands in response to different carbon (C input management and environmental conditions across the main global cereal systems were studied using a modeling approach. We also identified the key variables that drive SOC changes at a high spatial resolution (0.1°  ×  0.1° and over a long timescale (54 years from 1961 to 2014. A widely used soil C turnover model (RothC and state-of-the-art databases of soil and climate variables were used in the present study. The model simulations suggested that, on a global average, the cropland SOC density increased at annual rates of 0.22, 0.45 and 0.69 Mg C ha−1 yr−1 under crop residue retention rates of 30, 60 and 90 %, respectively. Increasing the quantity of C input could enhance soil C sequestration or reduce the rate of soil C loss, depending largely on the local soil and climate conditions. Spatially, under a specific crop residue retention rate, relatively higher soil C sinks were found across the central parts of the USA, western Europe, and the northern regions of China. Relatively smaller soil C sinks occurred in the high-latitude regions of both the Northern and Southern hemispheres, and SOC decreased across the equatorial zones of Asia, Africa and America. We found that SOC change was significantly influenced by the crop residue retention rate (linearly positive and the edaphic variable of initial SOC content (linearly negative. Temperature had weak negative effects, and precipitation had significantly negative impacts on SOC changes. The results can help guide carbon input management practices to

  9. Driving factors behind the eutrophication signal in understorey plant communities of deciduous temperate forests

    Czech Academy of Sciences Publication Activity Database

    Verheyen, E.; Baeten, L.; De Frenne, P.; Brnhardt-Römermann, M.; Brunet, J.; Cornelis, J.; Decocq, G.; Dierschke, H.; Eriksson, O.; Hédl, Radim; Heinken, T.; Hermy, M.; Hommel, P.; Kirby, K.; Naaf, T.; Peterken, G.; Petřík, Petr; Pfadenhauer, J.; Van Calster, H.; Walther, G.-R.; Wulf, M.; Verstraeten, G.

    2012-01-01

    Roč. 100, č. 2 (2012), s. 352-365 ISSN 0022-0477 R&D Projects: GA AV ČR IAA600050812 Institutional research plan: CEZ:AV0Z60050516 Keywords : Ellenberg indicator values * forest management * large herbivores Subject RIV: EF - Botanics Impact factor: 5.431, year: 2012

  10. Why Do You Adopt Social Networking Sites? Investigating the Driving Factors through Structural Equation Modelling

    Science.gov (United States)

    Jan, Muhammad Tahir

    2017-01-01

    Purpose: The purpose of this paper is to investigate those factors that are associated with the adoption of social networking sites from the perspective of Muslim users residing in Malaysia. Design/methodology/approach: A complete self-administered questionnaire was collected from 223 Muslim users of social networking sites in Malaysia. Both…

  11. What Are the Social, Psychological, and Cognitive Factors That Drive Individuals to Entrepreneurship?

    Science.gov (United States)

    LaMattina, Lina M.

    2013-01-01

    The purpose of this study was two-fold; first, to uncover the social, psychological, and cognitive factors core to the entrepreneurial individual; and secondly, to provide accurate data to be used in curriculum development to fill the existing educational gap that exists in the current literature regarding understanding the inner workings of the…

  12. Spatially dependent biotic and abiotic factors drive survivorship and physical structure of green roof vegetation.

    Science.gov (United States)

    Aloisio, Jason M; Palmer, Matthew I; Giampieri, Mario A; Tuininga, Amy R; Lewis, James D

    2017-01-01

    Plant survivorship depends on biotic and abiotic factors that vary at local and regional scales. This survivorship, in turn, has cascading effects on community composition and the physical structure of vegetation. Survivorship of native plant species is variable among populations planted in environmentally stressful habitats like urban roofs, but the degree to which factors at different spatial scales affect survivorship in urban systems is not well understood. We evaluated the effects of biotic and abiotic factors on survivorship, composition, and physical structure of two native perennial species assemblages, one characterized by a mixture of C 4 grasses and forbs (Hempstead Plains, HP) and one characterized by a mixture of C 3 grasses and forbs (Rocky Summit, RS), that were initially sown at equal ratios of growth forms (5:1:4; grass, N-fixing forb and non-N-fixing forb) in replicate 2-m 2 plots planted on 10 roofs in New York City (New York, USA). Of 24 000 installed plants, 40% survived 23 months after planting. Within-roof factors explained 71% of variation in survivorship, with biotic (species identity and assemblage) factors accounting for 54% of the overall variation, and abiotic (growing medium depth and plot location) factors explaining 17% of the variation. Among-roof factors explained 29% of variation in survivorship and increased solar radiation correlated with decreased survivorship. While growing medium properties (pH, nutrients, metals) differed among roofs there was no correlation with survivorship. Percent cover and sward height increased with increasing survivorship. At low survivorship, cover of the HP assemblage was greater compared to the RS assemblage. Sward height of the HP assemblage was about two times greater compared to the RS assemblage. These results highlight the effects of local biotic and regional abiotic drivers on community composition and physical structure of green roof vegetation. As a result, initial green roof plant

  13. Factors Associated With Exercise Behavior in People With Parkinson Disease

    Science.gov (United States)

    Cavanaugh, James T.; Earhart, Gammon M.; Ford, Matthew P.; Foreman, K. Bo; Fredman, Lisa; Boudreau, Jennifer K.; Dibble, Leland E.

    2011-01-01

    Background The benefits of exercise for reducing disability in people with Parkinson disease (PD) are becoming more evident. Optimal benefit, however, requires regular and sustained participation. Factors associated with engaging in regular exercise have received little scientific scrutiny in people with PD. Objective The purpose of this study was to explore factors associated with exercise behavior in patients with PD using the International Classification of Functioning, Disability and Health (ICF) as a guiding framework. Design This was a cross-sectional study. Methods The participants in this study were 260 patients with PD from 4 institutions. Participants were designated as “exercisers” or “nonexercisers” based on responses to the Stages of Readiness to Exercise Questionnaire. Exercise status was validated using the Physical Activity Scale for the Elderly and an activity monitor. Factors potentially associated with exercise behavior included measures of body structure and function, activity, participation, environmental factors, and personal factors. Their relative contributions were analyzed using logistic regression and quantified with odds ratios. Results One hundred sixty-four participants (63%) were designated as exercisers. Participants with high self-efficacy were more than twice as likely to engage in regular exercise than those with low self-efficacy (adjusted odds ratio=2.34, 95% confidence interval=1.30–4.23). College educated and older participants also were more likely to exercise. Disabling influences of impairments, activity limitations, and participation restrictions were not associated with exercise behavior. Limitations The cross-sectional nature of the study limited the ability to make causal inferences. Conclusions Self-efficacy, rather than disability, appears to be strongly associated with whether ambulatory, community-dwelling people with PD exercise regularly. The results of this study suggest that physical therapists should

  14. Patterns of level and change in self-reported driving behaviors among older adults: who self-regulates?

    Science.gov (United States)

    O'Connor, Melissa L; Edwards, Jerri D; Small, Brent J; Andel, Ross

    2012-07-01

    The present study investigated patterns of self-reported driving habits among healthy older adults over 5 years, as well as characteristics that distinguished subgroups with different patterns. Participants were drivers from the control group of the Advanced Cognitive Training for Independent and Vital Elderly study at the baseline assessment (N = 597). The outcome was a composite of driving frequency, driving space, and perceived driving difficulty. Growth mixture models identified classes of participants with different baseline scores and change trajectories, and classes were compared in terms of baseline sensory, physical, and cognitive functioning. A 3-class model was indicated, consisting of 2 classes with intercept differences and stability over time, "above-average stable" (39%) and "average stable" drivers (44%), and 1 class with a lower intercept and negative slope, "decreasers" (17%). Relative to stable drivers, decreasers exhibited significantly more depressive symptoms and poorer self-rated health, balance, everyday functioning, and speed of processing after controlling for age and education (p older drivers maintained their driving over time at different levels, whereas a subgroup of individuals with poorer baseline functioning self-regulated by reducing their driving. Future studies should determine how such patterns affect driving safety.

  15. Social and behavioral determinants of perceived insufficient sleep: analysis of the behavioral risk factor surveillance system

    Directory of Open Access Journals (Sweden)

    Michael A Grandner

    2015-06-01

    Full Text Available Background: Insufficient sleep is associated with cardiometabolic disease and poor health. However, few studies have assessed its determinants in a nationally-representative sample. Methods: Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS was used (N=323,047 adults. Insufficient sleep was assessed as insufficient rest/sleep over 30 days. This was evaluated relative to sociodemographics (age, sex, race/ethnicity, marital status, region, socioeconomics (education, income, employment, insurance, health behaviors (diet, exercise, smoking, alcohol, and health/functioning (emotional support, BMI, mental/physical health. Results: Overall, insufficient sleep was associated with being female, White or Black/African-American, unemployed, without health insurance, and not married; decreased age, income, education, physical activity; worse diet and overall health; and increased household size, alcohol, and smoking. Conclusion: These factors should be considered risk factors for insufficient sleep.

  16. What factors drive interest rate spread of commercial banks? Empirical evidence from Kenya

    Directory of Open Access Journals (Sweden)

    Maureen Were

    2014-12-01

    Full Text Available The paper empirically investigates the determinants of interest rate spread in Kenya's banking sector based on panel data analysis. The findings show that bank-specific factors play a significant role in the determination of interest rate spreads. These include bank size, credit risk as measured by non-performing loans to total loans ratio, return on average assets and operating costs, all of which positively influence interest rate spreads. On the other hand, higher bank liquidity ratio has a negative effect on the spreads. On average, big banks have higher spreads compared to small banks. The impact of macroeconomic factors such as real economic growth is insignificant. The effect of the monetary policy rate is positive but not highly significant. The results largely reflect the structure of the banking industry, in which a few big banks control a significant share of the market.

  17. Abiotic factors drives floristic variations of fern's metacommunity in an Atlantic Forest remnant.

    Science.gov (United States)

    Costa, L E N; Farias, R P; Santiago, A C P; Silva, I A A; Barros, I C L

    2018-02-15

    We analyzed floristic variations in fern's metacommunity at the local scale and their relationship with abiotic factors in an Atlantic Forest remnant of northeastern Brazil. Floristic and environmental variations were accessed on ten plots of 10 × 20 m. We performed cluster analyses, based on Bray-Curtis dissimilarity index to establish the floristic relationship. The influence of abiotic factors: luminosity, temperature, relative air humidity and relative soil moisture was evaluated from a redundancy analysis. We found 24 species belonging to 20 genera and 12 families. The fern's flora showed high floristic heterogeneity (>75% for most of the plot's associations). The fern's metacommunity was structured along an abiotic gradient modulated by temperature, luminosity, and relative soil moisture.

  18. Abiotic factors drives floristic variations of fern’s metacommunity in an Atlantic Forest remnant

    Directory of Open Access Journals (Sweden)

    L. E. N. Costa

    2018-02-01

    Full Text Available Abstract We analyzed floristic variations in fern’s metacommunity at the local scale and their relationship with abiotic factors in an Atlantic Forest remnant of northeastern Brazil. Floristic and environmental variations were accessed on ten plots of 10 × 20 m. We performed cluster analyses, based on Bray-Curtis dissimilarity index to establish the floristic relationship. The influence of abiotic factors: luminosity, temperature, relative air humidity and relative soil moisture was evaluated from a redundancy analysis. We found 24 species belonging to 20 genera and 12 families. The fern’s flora showed high floristic heterogeneity (>75% for most of the plot’s associations. The fern’s metacommunity was structured along an abiotic gradient modulated by temperature, luminosity, and relative soil moisture.

  19. Relationship between Power Factors of Mixer Drive and Selected Technological Parameters

    OpenAIRE

    R. Wrona; E. Ziółkowski; K. Smyksy

    2008-01-01

    Thc paper summarizes the selected results of tcsts pcrforrncd to find thc relationship bctwcca thc tcchnological and operational paramctcrsand power consumption by a mixcr drivc. Major tcchnological pammetcrs of moulding sand to considcr arc: mixing lime. moisturecontent. pan load. EIectric power demand is cxprcsscd by crfcctivc valucs, assuming thc bnlanccd tod. Thc propcrtics of moulding sandare shown to be correlated with pwcr factors. As thc mixing lcvcts changc, thc tcchnologicnl pararna...

  20. Identifying driving factors for the establishment of cooperative GMO-free zones in Germany

    OpenAIRE

    Consmuller, Nicola; Beckmann, Volker; Petrick, Martin

    2012-01-01

    Since the end of the quasi-moratorium on genetically modified organisms (GMO) in the European Union in 2004, the establishment of GMO-free zones has become an EU wide phenomenon. In contrast to other European countries, Germany follows the concept of cooperative GMO-free zones where neighbouring farmers contractually refrain from GMO cultivation. In this article, we address the question which underlying factors could account for the establishment of cooperative GMO-free zones in Germany. Draw...

  1. Climate drives fire synchrony but local factors control fire regime change in northern Mexico

    Science.gov (United States)

    Larissa L. Yocom Kent; Peter Z. Fulé; Peter M. Brown; Julián Cerano-Paredes; Eladio Cornejo-Oviedo; Citlali Cortés Montaño; Stacy A. Drury; Donald A. Falk; Jed Meunier; Helen M. Poulos; Carl N. Skinner; Scott L. Stephens; José Villanueva-Díaz

    2017-01-01

    The occurrence of wildfire is influenced by a suite of factors ranging from “top-down” influences (e.g., climate) to “bottom-up” localized influences (e.g., ignitions, fuels, and land use). We carried out the first broad-scale assessment of wildland fire patterns in northern Mexico to assess the relative influence of top-down and bottom-up drivers of fire in a...

  2. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts

    OpenAIRE

    Trimble, Tammy E.; Bishop, Richard; Morgan, Justin F.; Blanco, Myra

    2014-01-01

    Within the context of automation Levels 2 and 3, this report documents the proceedings from a literature review of key human factors studies that was performed related to automated vehicle operations. This document expands and updates the results from a prior literature review that was performed for the US DOT. Content within this document reflects the latest research and OEM activity as of June 2013. Studies both directly addressing automated driving, and those relevant to automated driving ...

  3. Plasmodium falciparum malaria importation from Africa to China and its mortality: an analysis of driving factors

    Science.gov (United States)

    Lai, Shengjie; Wardrop, Nicola A.; Huang, Zhuojie; Bosco, Claudio; Sun, Junling; Bird, Tomas; Wesolowski, Amy; Zhou, Sheng; Zhang, Qian; Zheng, Canjun; Li, Zhongjie; Tatem, Andrew J.; Yu, Hongjie

    2016-12-01

    Plasmodium falciparum malaria importation from Africa to China is rising with increasing Chinese overseas investment and international travel. Identifying networks and drivers of this phenomenon as well as the contributors to high case-fatality rate is a growing public health concern to enable efficient response. From 2011-2015, 8653 P. falciparum cases leading to 98 deaths (11.3 per 1000 cases) were imported from 41 sub-Saharan countries into China, with most cases (91.3%) occurring in labour-related Chinese travellers. Four strongly connected groupings of origin African countries with destination Chinese provinces were identified, and the number of imported cases was significantly associated with the volume of air passengers to China (P = 0.006), parasite prevalence in Africa (P relationship with parasite importation. Risk factors for deaths from imported cases were related to the capacity of malaria diagnosis and diverse socioeconomic factors. The spatial heterogeneity uncovered, principal drivers explored, and risk factors for mortality found in the rising rates of P. falciparum malaria importation to China can serve to refine malaria elimination strategies and the management of cases, and high risk groups and regions should be targeted.

  4. Pediatric unintentional injury: behavioral risk factors and implications for prevention.

    Science.gov (United States)

    Schwebel, David C; Gaines, Joanna

    2007-06-01

    Unintentional injury is the leading cause of death for children and adolescents between the ages of 1 and 18 in the United States, accounting for more deaths than the next 20 causes of mortality combined. It is estimated that pediatric injury accounts for more than $50 billion in annual losses from medical care costs, future wages, and quality of life. Despite these numbers, much remains to be learned about the behavioral risks for pediatric unintentional injury. This article reviews behavioral risk factors for pediatric unintentional injury risk, with a particular focus on four broad areas. First, we discuss the effects of demographic risk factors, including gender, socioeconomic status, and ethnicity. Second, we present information about child-specific risk factors, including temperament, personality, psychopathology, and cognitive development. Third, we discuss the influence of parents and other primary caregivers on childhood injury risk, with a particular focus on the effects of supervision and parenting quality and style. Finally, we discuss the role of peers on child injury risk. We conclude with a discussion of the ways in which the material reviewed has been translated into injury prevention techniques, with a focus on how pediatricians might use knowledge about etiological risk to prioritize safety counseling topics. We also present thoughts on four priorities for future research: injury risk in diverse nations and cultures; developmental effects of injury; the influence of multiple risk factors together on injury risk; and translation of knowledge about risk for injury into intervention and prevention techniques.

  5. Profile of a drunk driver and risk factors for drunk driving. Findings in roadside testing in the province of Uusimaa in Finland 1990-2008.

    Science.gov (United States)

    Portman, M; Penttilä, A; Haukka, J; Rajalin, S; Eriksson, C J P; Gunnar, T; Koskimaa, H; Kuoppasalmi, K

    2013-09-10

    The aim of the present study was to define the profile of a drunk driver and to determine risk factors for drunk driving by analyzing data on both sober and drunk drivers. Systematic roadside surveys have been carried out in Southern Finland for over 18 years, with 20,000-30,000 drivers breath tested annually. During the study period, 1241 drunk drivers were caught (legal blood alcohol limit 0.50‰). The comparison material consisted of 3407 sober drivers. The surveys were designed to further investigate demographic features and driving habits of drivers. The prevalence of drunk driving has been 0.2% over the time period, with only random variations. According to the data, a typical drunk driver is a man aged 40-49 who has a valid driving license and drives his own car, usually alone, with a blood alcohol concentration (BAC) of 1.0‰. He has a job and is married or cohabiting. The profile remained consistent throughout the study period. The risk of drunk driving was found to be five times higher for men than for women. Divorcees and widow(er)s had a substantially higher risk factor for being caught drunk driving than married drivers. Drunk drivers are most likely to be caught by roadside testing on Saturday mornings. During the study period the blood alcohol limit for aggravated drunk driving was lowered in 1994 from 1.5 to 1.2‰. In 2004 the taxation of alcohol beverages was reduced by 30%. Neither of these measures affected the prevalence of drunk driving or the mean BAC of drunk drivers (p=0.63). Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  6. Factors driving territory size and breeding success in a threatened migratory songbird, the Canada Warbler

    Directory of Open Access Journals (Sweden)

    D. T. Tyler Flockhart

    2016-12-01

    Full Text Available Successful conservation of migratory birds demands we understand how habitat factors on the breeding grounds influences breeding success. Multiple factors are known to directly influence breeding success in territorial songbirds. For example, greater food availability and fewer predators can have direct effects on breeding success. However, many of these same habitat factors can also result in higher conspecific density that may ultimately reduce breeding success through density dependence. In this case, there is a negative indirect effect of habitat on breeding success through its effects on conspecific density and territory size. Therefore, a key uncertainty facing land managers is whether important habitat attributes directly influence breeding success or indirectly influence breeding success through territory size. We used radio-telemetry, point-counts, vegetation sampling, predator observations, and insect sampling over two years to provide data on habitat selection of a steeply declining songbird species, the Canada Warbler (Cardellina canadensis. These data were then applied in a hierarchical path modeling framework and an AIC model selection approach to determine the habitat attributes that best predict breeding success. Canada Warblers had smaller territories in areas with high shrub cover, in the presence of red squirrels (Tamiasciurus hudsonicus, at shoreline sites relative to forest-interior sites and as conspecific density increased. Breeding success was lower for birds with smaller territories, which suggests competition for limited food resources, but there was no direct evidence that food availability influenced territory size or breeding success. The negative relationship between shrub cover and territory size in our study may arise because these specific habitat conditions are spatially heterogeneous, whereby individuals pack into patches of preferred breeding habitat scattered throughout the landscape, resulting in reduced

  7. Risk assessment and driving factors for artificial topography on element heterogeneity: Case study at Jiangsu, China.

    Science.gov (United States)

    Hong, Hualong; Dai, Minyue; Lu, Haoliang; Liu, Jingchun; Zhang, Jie; Yan, Chongling

    2018-02-01

    The rapid expansion of construction related to coastal development evokes great concern about environmental risks. Recent attention has been focused mainly on factors related to the effects of waterlogging, but there is urgent need to address the potential hazard caused by artificial topography: derived changes in the elemental composition of the sediments. To reveal possible mechanisms and to assess the environmental risks of artificial topography on transition of elemental composition in the sediment at adjoining zones, a nest-random effects-combined investigation was carried out around a semi-open seawall. The results implied great changes induced by artificial topography. Not only did artificial topography alter the sediment elemental composition at sites under the effect of artificial topography, but also caused a coupling pattern transition of elements S and Cd. The biogeochemical processes associated with S were also important, as suggested by cluster analysis. The geo-accumulation index shows that artificial topography triggered the accumulation of C, N, S, Cu, Fe, Mn, Zn, Ni, Cr, Pb, As and Cd, and increased the pollution risk of C, N, S, Cu, As and Cd. Enrichment factors reveal that artificial topography is a new type of human-activity-derived Cu contamination. The heavy metal Cu was notably promoted on both the geo-accumulation index and the enrichment factor under the influence of artificial topography. Further analysis showed that the Cu content in the sediment could be fitted using equations for Al and organic carbon, which represented clay mineral sedimentation and organic matter accumulation, respectively. Copper could be a reliable indicator of environmental degradation caused by artificial topography. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Dementia & Driving

    Science.gov (United States)

    ... find the loss of driving privileges and the inherent loss of independence upsetting. Encourage the individual with ... to modify their driving. This can reduce the risk of an accident if the individual’s driving skills ...

  9. Drive Stands

    Data.gov (United States)

    Federal Laboratory Consortium — The Electrical Systems Laboratory (ESL)houses numerous electrically driven drive stands. A drive stand consists of an electric motor driving a gearbox and a mounting...

  10. Factors driving mortality and growth at treeline: a 30-year experiment of 92 000 conifers.

    Science.gov (United States)

    Barbeito, Ignacio; Dawes, Melissa A; Rixen, Christian; Senn, Josef; Bebi, Peter

    2012-02-01

    Understanding the interplay between environmental factors contributing to treeline formation and how these factors influence different life stages remains a major research challenge. We used an afforestation experiment including 92 000 trees to investigate the spatial and temporal dynamics of tree mortality and growth at treeline in the Swiss Alps. Seedlings of three high-elevation conifer species (Larix decidua, Pinus mugo ssp. uncinata, and Pinus cembra) were systematically planted along an altitudinal gradient at and above the current treeline (2075 to 2230 m above sea level [a.s.l.]) in 1975 and closely monitored during the following 30 years. We used decision-tree models and generalized additive models to identify patterns in mortality and growth along gradients in elevation, snow duration, wind speed, and solar radiation, and to quantify interactions between the different variables. For all three species, snowmelt date was always the most important environmental factor influencing mortality, and elevation was always the most important factor for growth over the entire period studied. Individuals of all species survived at the highest point of the afforestation for more than 30 years, although mortality was greater above 2160 m a.s.l., 50-100 m above the current treeline. Optimal conditions for height growth differed from those for survival in all three species: early snowmelt (ca. day of year 125-140 [where day 1 is 1 January]) yielded lowest mortality rates, but relatively later snowmelt (ca. day 145-150) yielded highest growth rates. Although snowmelt and elevation were important throughout all life stages of the trees, the importance of radiation decreased over time and that of wind speed increased. Our findings provide experimental evidence that tree survival and height growth require different environmental conditions and that even small changes in the duration of snow cover, in addition to changes in temperature, can strongly impact tree survival and

  11. Impact of Macro Environmental Factors on Garments Industry That Drives Export in Bangladesh

    Directory of Open Access Journals (Sweden)

    Islam Mohammad

    2017-08-01

    Full Text Available It goes without saying that Garments industry of Bangladesh has drawn a special attention to the mass people in the world because of being both cost leader and quality leader at the same time. The purpose of this research paper is to analyze the garments industry in Bangladesh which is going to be an emerging tiger in the world economy. It also aims to assess the impact of macro-environmental factors affecting the industry by PESTEL analysis. Again, five forces model has been analyzed to assess the impacts of competitive external factors on the Garments industry in Bangladesh. Furthermore, Garments sector competitive responses to the primary issues affecting the industry have been evaluated here. It also outlines the primary external influences to which this industry is subject. In this case, SWOT analysis has been conducted to assess the competitive position of this industry in comparison with the global perspective. The study suggests that total export is highly correlated with the exports of garments. It also finds that there is severe lacking in the safety and security compliance, wages and compensations and code of conduct of the current organizations. Moreover, GSP facility withdrawn can impact severely on the ready made garments of Bangladesh to compete with price in the international market with China, India and Vietnam etc. The ready made garments sector of Bangladesh is enjoying cost leadership as a source of completive advantage because of cheap labor. Finally, the study would like to recommend for further improvement of garment sector in Bangladesh.

  12. A meta-analytic study of the factors driving the purchase of organic food.

    Science.gov (United States)

    Massey, Maria; O'Cass, Aron; Otahal, Petr

    2018-06-01

    Interest in the consumption of organic food has steadily risen over the past two decades. Yet after considerable research addressing a range of issues related to organic food consumption no research systematically examines which factors explain consumers' perceptions and purchase of organics. Through a meta-analysis we examine factors underpinning the purchase of organic food using a sample of 124,353 consumers reported in 150 manuscripts over the period from 1991 to 2016. The results demonstrate that credence attributes of organic food are valued more than search and experience attributes. This shows that the market is guided by the perceived benefits of organic over conventionally grown food. These findings do not diminish the importance of search and experience attributes, but suggest that credence attributes have a prominent role in consumer organic food purchases. From the perspective of organic producers and sellers an understanding of consumer perceptions, set within search, experience and credence attributes, has the potential to offer a unique selling proposition and point of differentiation in the market. Copyright © 2018 Elsevier Ltd. All rights reserved.

  13. Factors associated with health risk behavior among school children in urban Vietnam

    Directory of Open Access Journals (Sweden)

    Tran Bich Phuong

    2013-01-01

    Full Text Available Background: Health risk behavior among young people is a public health problem in Vietnam. In addition, road traffic injuries are the leading cause of death for those aged 15–29 years. The consequences can be devastating for adolescents and their families, and can create a significant economic burden on society. Objective: The aim of this study was to identify protective and risk factors that may influence three health risk behaviors among school children: suicidal thinking (ST, drinking alcohol (DA, and underage motorbike driving (MD. Methods: A cross-sectional survey of 972 adolescents (aged 12–15 years was conducted in two secondary schools in Hanoi, Vietnam. The schools were purposely selected, one each from the inner city and a suburban area, from which classes (grade 6 to 8 were randomly selected. All students attending classes on survey days took part in the survey. The anonymous, self-completed questionnaire included measures of risk behavior, school connectedness, parental bonding, and other factors. Multivariable regression models were used to examine associations between the independent variables and the three health risk behaviors controlling for confounding factors. Results: Young people in the inner city school reported a higher prevalence of all three risk behaviors than those in the suburban area (ST: 16.1% [95% confidence interval, or CI, 12.9–19.3] versus 4.6% [95% CI 2.7–6.5], p<0.001; DA: 20.3% [95% CI 16.8–23.8] versus 8.3% [95% CI 5.8–10.8], p<0.001, and MD: 10.1% [95% CI 7.4–12.8] versus 5.7% [95% CI 3.6–7.8], p<0.01. School connectedness and mother and father care appeared to be significant protective factors. For males, bullying in school was associated with suicidal thoughts, whereas for both males and females, school connectedness may be protective against suicidal ideation. Conclusion: This study supports findings from other nations regarding suicidal thoughts and alcohol use, and appears to be one of

  14. A New Power-Factor-Based Vector Control Method for Sensorless Drive of Permanent-Magnet Synchronous Motors

    Science.gov (United States)

    Shinnaka, Shinji

    As a simple vector control method for sensorless drives of permanent-magnet synchronous motors, the so-called “Power-Factor-Based (PFB) Vector Control Method” has been proposed. The conventional PFB method directly estimates the phase of the quasi-optimal stator current through a control of the power factor phase, instead of the estimation of the rotor phase. The stator current is controlled in the current reference frame whose secondary axis phase is the same as the stator current phase. This paper proposes a new PEB method where the stator current is controlled in the voltage reference frame whose secondary axis phase is the same as the voltage phase rather than the current phase. It is shown that the similar quasi-optimal stator current control can be attained through the current control with appropriate current commands taking the power factor phase into account. This paper also shows a practical method for generating the current commands and a practical guideline for the design parameters of the new PFB method.

  15. Coagulation factor Xa drives tumor cells into apoptosis through BH3-only protein Bim up-regulation

    International Nuclear Information System (INIS)

    Borensztajn, Keren S.; Bijlsma, Maarten F.; Groot, Angelique P.; Brueggemann, Lois W.; Versteeg, Henri H.; Reitsma, Pieter H.; Peppelenbosch, Maikel P.; Spek, C. Arnold

    2007-01-01

    Coagulation Factor (F)Xa is a serine protease that plays a crucial role during blood coagulation by converting prothrombin into active thrombin. Recently, however, it emerged that besides this role in coagulation, FXa induces intracellular signaling leading to different cellular effects. Here, we show that coagulation factor (F)Xa drives tumor cells of epithelial origin, but not endothelial cells or monocytes, into apoptosis, whereas it even enhances fibroblast survival. FXa signals through the protease activated receptor (PAR)-1 to activate extracellular-signal regulated kinase (ERK) 1/2 and p38. This activation is associated with phosphorylation of the transcription factor CREB, and in tumor cells with up-regulation of the BH3-only pro-apoptotic protein Bim, leading to caspase-3 cleavage, the main hallmark of apoptosis. Transfection of tumor cells with dominant negative forms of CREB or siRNA for either PAR-1, Bim, ERK1 and/or p38 inhibited the pro-apoptotic effect of FXa. In fibroblasts, FXa-induced PAR-1 activation leads to down-regulation of Bim and pre-treatment with PAR-1 or Bim siRNA abolishes proliferation. We thus provide evidence that beyond its role in blood coagulation, FXa plays a key role in cellular processes in which Bim is the central player in determining cell survival

  16. Determining the Driving Factors of Commuting: An Empirical Analysis from Greece

    Directory of Open Access Journals (Sweden)

    D. Tsiotas

    2013-12-01

    Full Text Available Commuting refers to the act of daily traveling, between two locations, for employment purposes and suggests a multidimensional phenomenon in Regional Science, which is determined by social, economic, geographic and political factors. This paper conducts initially a literal approach of the phenomenon and further proceeds to an empirical ordinal regression analysis for the spatial network consisting of two Greece regions (Thessaly and Sterea Hellas that verifies the theoretical framework. The theoretical review contributes to the formulation of the independent (predictor variables and generally to the construction of the ordinal regression model and the corresponding empirical approach, in order to specialize the theoretical framework to the Greek case and to recognize the spatial patterns that rule the commuting phenomenon. Some conclusions that are made, come to an agreement with the well established theories of gravity modeling, expanding city and binomial law and others elect an amount of interesting contradictions to the theoretical framework.

  17. Factors driving changes in freshwater mussel (Bivalvia, Unionida) diversity and distribution in Peninsular Malaysia.

    Science.gov (United States)

    Zieritz, Alexandra; Lopes-Lima, Manuel; Bogan, Arthur E; Sousa, Ronaldo; Walton, Samuel; Rahim, Khairul Adha A; Wilson, John-James; Ng, Pei-Yin; Froufe, Elsa; McGowan, Suzanne

    2016-11-15

    Freshwater mussels (Bivalvia, Unionida) fulfil important ecosystem functions and are one of the most threatened freshwater taxa globally. Knowledge of freshwater mussel diversity, distribution and ecology in Peninsular Malaysia is extremely poor, and the conservation status of half of the species presumed to occur in the region has yet to be assessed. We conducted the first comprehensive assessment of Peninsular Malaysia's freshwater mussels based on species presence/absence and environmental data collected from 155 sites spanning all major river catchments and diverse habitat types. Through an integrative morphological-molecular approach we recognised nine native and one widespread non-native species, i.e. Sinanodonta woodiana. Two species, i.e. Pilsbryoconcha compressa and Pseudodon cambodjensis, had not been previously recorded from Malaysia, which is likely a result of morphological misidentifications of historical records. Due to their restriction to single river catchments and declining distributions, Hyriopsis bialata, possibly endemic to Peninsular Malaysia, Ensidens ingallsianus, possibly already extinct in the peninsula, and Rectidens sumatrensis, particularly require conservation attention. Equally, the Pahang, the Perak and the north-western river catchments are of particular conservation value due to the presence of a globally unique freshwater mussel fauna. Statistical relationships of 15 water quality parameters and mussel presence/absence identified acidification and nutrient pollution (eutrophication) as the most important anthropogenic factors threatening freshwater mussel diversity in Peninsular Malaysia. These factors can be linked to atmospheric pollution, deforestation, oil-palm plantations and a lack of functioning waste water treatment, and could be mitigated by establishing riparian buffers and improving waste water treatment for rivers running through agricultural and residential land. Copyright © 2016 Elsevier B.V. All rights reserved.

  18. Interacting factors driving a major loss of large trees with cavities in a forest ecosystem.

    Directory of Open Access Journals (Sweden)

    David B Lindenmayer

    Full Text Available Large trees with cavities provide critical ecological functions in forests worldwide, including vital nesting and denning resources for many species. However, many ecosystems are experiencing increasingly rapid loss of large trees or a failure to recruit new large trees or both. We quantify this problem in a globally iconic ecosystem in southeastern Australia--forests dominated by the world's tallest angiosperms, Mountain Ash (Eucalyptus regnans. Tree, stand and landscape-level factors influencing the death and collapse of large living cavity trees and the decay and collapse of dead trees with cavities are documented using a suite of long-term datasets gathered between 1983 and 2011. The historical rate of tree mortality on unburned sites between 1997 and 2011 was >14% with a mortality spike in the driest period (2006-2009. Following a major wildfire in 2009, 79% of large living trees with cavities died and 57-100% of large dead trees were destroyed on burned sites. Repeated measurements between 1997 and 2011 revealed no recruitment of any new large trees with cavities on any of our unburned or burned sites. Transition probability matrices of large trees with cavities through increasingly decayed condition states projects a severe shortage of large trees with cavities by 2039 that will continue until at least 2067. This large cavity tree crisis in Mountain Ash forests is a product of: (1 the prolonged time required (>120 years for initiation of cavities; and (2 repeated past wildfires and widespread logging operations. These latter factors have resulted in all landscapes being dominated by stands ≤72 years and just 1.16% of forest being unburned and unlogged. We discuss how the features that make Mountain Ash forests vulnerable to a decline in large tree abundance are shared with many forest types worldwide.

  19. Physical activity and sedentary behaviors associated factors in adolescents

    Directory of Open Access Journals (Sweden)

    Daniel Giordani Vasques

    2009-01-01

    Full Text Available The purpose of this study was to analyze factors associated with physical activity and sedentary behaviors in adolescents. The sample consisted of 1675 students (784 boys and 891 girls ranging in age from 11-17 years from Caxias do Sul, RS. A questionnaire was applied to identify physical activity level (PAL, 3-day recall andweekly hours of sedentary behavior. Low PAL was defined as energy expenditure less than 37 kcal/kg per day, and elevated sedentary behavior (ESB was defined as more than 14 h/week watching TV, playing video games or using a computer. Chi-square testresults indicated a higher prevalence of low PAL among girls (66.8%>43.2%, p84.0%, p=0.001. Using a Poisson hierarchical regression model, low PAL was associated with up to 4 persons living at home (PR=1.21, 95%CI: 1.00-1.46 and low maternal PAL (PR=1.23, 95%CI:1.00-1.53 among boys, and with age 15-17 years (PR=1.30, 95%CI: 1.18-1.44, up to 4 persons living at home (PR=1.17, 95%CI: 1.04-1.31, having a TV in the bedroom (PR=1.13, 95%CI: 1.02-1.25 and passive transport to school (PR=1.10, 95%CI: 1.00-1.22 among girls. In girls, ESB was associated with high parental educational level(PR=1.08, 95%CI: 1.01-1.16 and having a TV in the bedroom (PR=1.15, 95%CI: 1.08-1.22. The results suggest an association between socioeconomic measures and risk behaviors (low PAL and ESB. Knowledge about the factors associated with low PAL and ESB facilitates the implantation of more effective interventions in order to promote a more active lifestyle.

  20. Which Factors Characterize Sustainable Behavior of Defense Forces?

    DEFF Research Database (Denmark)

    Atlason, Reynir Smari; Gerstlberger, Wolfgang

    2017-01-01

    Defense agencies are increasingly identifying the benefits of environmentally benign solutions on multiple types of operations. Energy use, material use, and environmental damage are factors that influence military operations in both the short and the long term. In this paper, we examine the beha......Defense agencies are increasingly identifying the benefits of environmentally benign solutions on multiple types of operations. Energy use, material use, and environmental damage are factors that influence military operations in both the short and the long term. In this paper, we examine...... the behavior of 81 military forces with regard to Corporate Social Responsibility (CSR) and sustainability reporting. Furthermore, the characteristics of militaries with a CSR/sustainability strategy are identified. By using hierarchical cluster analysis and exploratory factor analysis, we locate...... characteristics of militaries with medium or strong connections to sustainable behavior. The results of the analysis demonstrate which militaries are likely to engage in improvements with regards to CSR and sustainability, particularly in relation to the environment. The findings of this paper demonstrate which...

  1. Differential roles of the Drosophila EMT-inducing transcription factors Snail and Serpent in driving primary tumour growth.

    Science.gov (United States)

    Campbell, Kyra; Lebreton, Gaëlle; Franch-Marro, Xavier; Casanova, Jordi

    2018-02-01

    Several transcription factors have been identified that activate an epithelial-to-mesenchymal transition (EMT), which endows cells with the capacity to break through basement membranes and migrate away from their site of origin. A key program in development, in recent years it has been shown to be a crucial driver of tumour invasion and metastasis. However, several of these EMT-inducing transcription factors are often expressed long before the initiation of the invasion-metastasis cascade as well as in non-invasive tumours. Increasing evidence suggests that they may promote primary tumour growth, but their precise role in this process remains to be elucidated. To investigate this issue we have focused our studies on two Drosophila transcription factors, the classic EMT inducer Snail and the Drosophila orthologue of hGATAs4/6, Serpent, which drives an alternative mechanism of EMT; both Snail and GATA are specifically expressed in a number of human cancers, particularly at the invasive front and in metastasis. Thus, we recreated conditions of Snail and of Serpent high expression in the fly imaginal wing disc and analysed their effect. While either Snail or Serpent induced a profound loss of epithelial polarity and tissue organisation, Serpent but not Snail also induced an increase in the size of wing discs. Furthermore, the Serpent-induced tumour-like tissues were able to grow extensively when transplanted into the abdomen of adult hosts. We found the differences between Snail and Serpent to correlate with the genetic program they elicit; while activation of either results in an increase in the expression of Yorki target genes, Serpent additionally activates the Ras signalling pathway. These results provide insight into how transcription factors that induce EMT can also promote primary tumour growth, and how in some cases such as GATA factors a 'multi hit' effect may be achieved through the aberrant activation of just a single gene.

  2. Dental Anxiety and its Association with Behavioral Factors in Children

    Science.gov (United States)

    POPESCU, SANDA MIHAELA; DASCĂLU, IONELA TEODORA; SCRIECIU, MONICA; MERCUŢ, VERONICA; MORARU, IREN; ŢUCULINĂ, MIHAELA JANA

    2014-01-01

    Background: Dental anxiety is a condition that causes a decrease in population addressability to the dentist with adverse consequences for long-term oral health. Assessment of behavioral factors that correlate with dental anxiety is important for accurate evaluation of dental fear. Its diagnosis in childhood is important for establishing therapeutic management strategies to reduce anxiety and promote oral health. Objective: To determine the prevalence of dental anxiety in a group of Romanian schoolchildren, and assess its correlation with behavioral factors. Methods: This cross-sectional survey included a number of 650 schoolchildren attending public schools, randomly chosen. Data were collected from September 2013 to October 2013. 485 children aged 6–12 years responded the questionnaires and were included in the study (248 female, 237 male). Each subject was asked to independently complete a questionnaire including Dental Anxiety Scale (DAS) and other questions about children behavior towards dental health education and practice. Children having a score of 13 and above were included in the anxious group while those scoring under 13 were placed in the non anxious group. The data collected was processed and analyzed using the SPSS statistical software. Results: The overall prevalence of dental anxiety was 22.68% amongst subjects included in the study. No significant differences in dental anxiety scores between boys and girls were found in this study. Dental anxiety scores decreased with increasing age. Dental anxiety correlated positively with chewing gum use and sweet consumption frequency and negatively with age and dental health education. Conclusions: Prevalence of dental anxiety in the 6–12 year old children of this study was 22.68%. Factors like chewing gum use, sweet consumption frequency, age and dental health education were correlated with dental anxiety. PMID:26788356

  3. Factors driving semi-aquatic predator occurrence in traditional cattle drinking pools: conservation issues

    Directory of Open Access Journals (Sweden)

    Raoul Manenti

    2016-08-01

    Full Text Available In several cases, human impact on water bodies and on their freshwater communities is detrimental, but in some cases the human activity may favour and enhance the biodiversity of small water bodies, as traditional cattle drinking pools. Despite their small size, small water bodies may constitute hot spot of biodiversity often representing the only lentic aquatic biotope in landscapes where superficial water lacks or flows in lotic environments like creeks and streams. Predators are good indicators of biodiversity in ponds and give information of food chain web complexity. In particular, semi-aquatic predators like amphibians and dragonflies may account for a substantial percentage of energy flow between aquatic and terrestrial ecosystems. In this study, we evaluated the conservation value of traditional cattle drinking pools building by assessing the factors determining the occurrence and distribution of the semi-aquatic predators. From April to August 2015, we investigated 30 distinct pools recording several abiotic and biotic environmental variables. We detected 4 semi-aquatic predators: Salamandra salamandra larvae, Triturus carnifex, Aeshna sp. larvae and Libellula sp. larvae. Abiotic features played a major role in shaping the predator community that resulted linked to stable, with no dryness period, and large drinking pools. Invertebrate prey biomass was not particularly important, while vegetation cover and occurrence of unpalatable tadpoles were the most important biotic features of the pools. Our study provides novel evidence on the importance of cattle drinking pools management to preserve biodiversity especially in areas where traditional pastoral activity is disappearing.

  4. An ecological overview on the factors that drives to Trypanosoma cruzi oral transmission.

    Science.gov (United States)

    de Noya, Belkisyolé Alarcón; González, Oscar Noya

    2015-11-01

    American trypanosomiasis is one of the few native parasites of this continent. As a zoonosis, Trypanosoma cruzi infects about 180 species out of 25 families of mammals. Its regular transmission is through triatomines, which can easily transmit parasites either by the skin route (contamination of mammals skin with their feces) or by oral route (ingestion of food contaminated with complete triatomines or their feces) and additionally through haematogenous via (congenital and transfusional) and by tissues (transplants). The oral route, which seems to be the ancestral form of transmission to wild and domestic mammals, has recently become more important after the success achieved in the control of domicile vectors using residual pesticides. From its initial diagnosis in 1967, tens of oral outbreaks have been diagnosed mostly in the Brazilian Amazon and subsequently in other four countries in South America. Environmental imbalance caused by man through the invasion and deforestation of woodlands, results in reduction of biodiversity of mammals as food source for triatomines, affecting the "dilution effect" of T. cruzi in the nature increasing the risk of human infection. On the other hand, triatomines invade houses looking for new blood sources. One of the consequences of domiciliated triatomines is the food contamination spread, especially in home-made juices, which has been the source of infection of most oral outbreaks. Other biotic and abiotic factors help to explain the recent increase of oral transmission outbreaks of Chagas disease, distributed in nine eco-regions of America. Copyright © 2015 Elsevier B.V. All rights reserved.

  5. Hepatocyte growth factor signaling in intrapancreatic ductal cells drives pancreatic morphogenesis.

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    Ryan M Anderson

    Full Text Available In a forward genetic screen for regulators of pancreas development in zebrafish, we identified donut(s908 , a mutant which exhibits failed outgrowth of the exocrine pancreas. The s908 mutation leads to a leucine to arginine substitution in the ectodomain of the hepatocyte growth factor (HGF tyrosine kinase receptor, Met. This missense mutation impedes the proteolytic maturation of the receptor, its trafficking to the plasma membrane, and diminishes the phospho-activation of its kinase domain. Interestingly, during pancreatogenesis, met and its hgf ligands are expressed in pancreatic epithelia and mesenchyme, respectively. Although Met signaling elicits mitogenic and migratory responses in varied contexts, normal proliferation rates in donut mutant pancreata together with dysmorphic, mislocalized ductal cells suggest that met primarily functions motogenically in pancreatic tail formation. Treatment with PI3K and STAT3 inhibitors, but not with MAPK inhibitors, phenocopies the donut pancreatic defect, further indicating that Met signals through migratory pathways during pancreas development. Chimera analyses showed that Met-deficient cells were excluded from the duct, but not acinar, compartment in the pancreatic tail. Conversely, wild-type intrapancreatic duct and "tip cells" at the leading edge of the growing pancreas rescued the donut phenotype. Altogether, these results reveal a novel and essential role for HGF signaling in the intrapancreatic ducts during exocrine morphogenesis.

  6. Transforming Growth FactorDrives the Transendothelial Migration of Hepatocellular Carcinoma Cells

    Directory of Open Access Journals (Sweden)

    Petra Koudelkova

    2017-10-01

    Full Text Available The entry of malignant hepatocytes into blood vessels is a key step in the dissemination and metastasis of hepatocellular carcinoma (HCC. The identification of molecular mechanisms involved in the transmigration of malignant hepatocytes through the endothelial barrier is of high relevance for therapeutic intervention and metastasis prevention. In this study, we employed a model of hepatocellular transmigration that mimics vascular invasion using hepatic sinusoidal endothelial cells and malignant hepatocytes evincing a mesenchymal-like, invasive phenotype by transforming growth factor (TGF-β. Labelling of respective cell populations with various stable isotopes and subsequent mass spectrometry analyses allowed the “real-time” detection of molecular changes in both transmigrating hepatocytes and endothelial cells. Interestingly, the proteome profiling revealed 36 and 559 regulated proteins in hepatocytes and endothelial cells, respectively, indicating significant changes during active transmigration that mostly depends on cell–cell interaction rather than on TGF-β alone. Importantly, matching these in vitro findings with HCC patient data revealed a panel of common molecular alterations including peroxiredoxin-3, epoxide hydrolase, transgelin-2 and collectin 12 that are clinically relevant for the patient’s survival. We conclude that hepatocellular plasticity induced by TGF-β is crucially involved in blood vessel invasion of HCC cells.

  7. Geological and ecological factors drive cryptic speciation of yews in a biodiversity hotspot.

    Science.gov (United States)

    Liu, Jie; Möller, Michael; Provan, Jim; Gao, Lian-Ming; Poudel, Ram Chandra; Li, De-Zhu

    2013-09-01

    The interplay of orographic uplift and climatic changes in the Himalaya-Hengduan Mountains region (HHM) have had a key role in speciation and population demography. To gain further insight into these processes, we investigated their effects on Taxus wallichiana by combining molecular phylogeography and species distribution modeling. Molecular data were obtained from 43 populations of T. wallichiana. Nineteen climatic variables were analyzed alongside genetic discontinuities. Species distribution modeling was carried out to predict potential past distribution ranges. Two distinct lineages were identified, which diverged c. 4.2 (2.0-6.5) million years ago (Ma), a timescale that corresponds well with the recent uplift of the Qinghai-Tibet Plateau and subsequent climatic changes of the region. Correlations with climatic variables also suggest that ecological factors may have further reinforced the separation of the two lineages. Both lineages experienced population expansion during the last glaciation. The high genetic divergence, long-term isolation and ecological differentiation suggest a scenario of cryptic speciation in T. wallichiana associated with geological and climatic changes in the HHM. Our findings also challenge the notion of general population 'contraction' during the last glaciation in the HHM. © 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.

  8. Insulin-Like Growth Factor I Does Not Drive New Bone Formation in Experimental Arthritis.

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    Melissa N van Tok

    Full Text Available Insulin like growth factor (IGF-I can act on a variety of cells involved in cartilage and bone repair, yet IGF-I has not been studied extensively in the context of inflammatory arthritis. The objective of this study was to investigate whether IGF-I overexpression in the osteoblast lineage could lead to increased reparative or pathological bone formation in rheumatoid arthritis and/or spondyloarthritis respectively.Mice overexpressing IGF-I in the osteoblast lineage (Ob-IGF-I+/- line 324-7 were studied during collagen induced arthritis and in the DBA/1 aging model for ankylosing enthesitis. Mice were scored clinically and peripheral joints were analysed histologically for the presence of hypertrophic chondrocytes and osteocalcin positive osteoblasts.90-100% of the mice developed CIA with no differences between the Ob-IGF-I+/- and non-transgenic littermates. Histological analysis revealed similar levels of hypertrophic chondrocytes and osteocalcin positive osteoblasts in the ankle joints. In the DBA/1 aging model for ankylosing enthesitis 60% of the mice in both groups had a clinical score 1<. Severity was similar between both groups. Histological analysis revealed the presence of hypertrophic chondrocytes and osteocalcin positive osteoblasts in the toes in equal levels.Overexpression of IGF-I in the osteoblast lineage does not contribute to an increase in repair of erosions or syndesmophyte formation in mouse models for destructive and remodeling arthritis.

  9. Factors that drive zooplankton diversity in Neo-Tropical Savannah shallow lakes

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    Claudia Padovesi-Fonseca

    2017-11-01

    Full Text Available Abstract Zooplankton is an important community in aquatic ecosystems due to its linkage between primary producers and secondary consumers also playing a key role in cycling of organic materials. Aim: Therefore, our objective was to evaluate the effects of physicochemical variables of the water on the diversity of zooplankton community in seven tropical shallow lakes of Brazilian savannah. Methods Zooplankton samples were taken using a bucket and filtered 200 L by a 64 µm-mesh-plankton-net, and preserved for subsequent identification. Water temperature, dissolved oxygen, pH, electrical conductivity, turbidity, chlorophyll-a, ammonium, nitrate, nitrite, total phosphorus, and soluble reactive phosphorus were measured. Results The turbidity (decreases the temperature, luminosity and the system productivity and ammonium (increases the toxicity values were the major factors responsible for structuring the zooplankton community. On the other hand, also nitrogen and phosphorus (increase the productivity are limiting in savannah lentic systems for the zooplankton. The higher α diversity was positively associated with aquatic macrophytes (increase of niches and refuge, whereas lakes with geographic proximity increase the similarity in species composition, decreasing the β diversity. Conclusions We conclude that the deterministic processes (niche theory, due to species have different ecological requirements, are different responses to environmental gradients and increase the diversity in heterogenic lentic systems.

  10. Latent factor structure of a behavioral economic marijuana demand curve.

    Science.gov (United States)

    Aston, Elizabeth R; Farris, Samantha G; MacKillop, James; Metrik, Jane

    2017-08-01

    Drug demand, or relative value, can be assessed via analysis of behavioral economic purchase task performance. Five demand indices are typically obtained from drug purchase tasks. The goal of this research was to determine whether metrics of marijuana reinforcement from a marijuana purchase task (MPT) exhibit a latent factor structure that efficiently characterizes marijuana demand. Participants were regular marijuana users (n = 99; 37.4% female, 71.5% marijuana use days [5 days/week], 15.2% cannabis dependent) who completed study assessments, including the MPT, during a baseline session. Principal component analysis was used to examine the latent structure underlying MPT indices. Concurrent validity was assessed via examination of relationships between latent factors and marijuana use, past quit attempts, and marijuana expectancies. A two-factor solution was confirmed as the best fitting structure, accounting for 88.5% of the overall variance. Factor 1 (65.8% variance) reflected "Persistence," indicating sensitivity to escalating marijuana price, which comprised four MPT indices (elasticity, O max , P max , and breakpoint). Factor 2 (22.7% variance) reflected "Amplitude," indicating the amount consumed at unrestricted price (intensity). Persistence factor scores were associated with fewer past marijuana quit attempts and lower expectancies of negative use outcomes. Amplitude factor scores were associated with more frequent use, dependence symptoms, craving severity, and positive marijuana outcome expectancies. Consistent with research on alcohol and cigarette purchase tasks, the MPT can be characterized with a latent two-factor structure. Thus, demand for marijuana appears to encompass distinct dimensions of price sensitivity and volumetric consumption, with differential relations to other aspects of marijuana motivation.

  11. [A retrospective analysis of 97 drunk driving cases].

    Science.gov (United States)

    Cheng, Xiang-Wei; Chu, Yun; Zong, Xiong-Xin; Wang, Zi-Wei; Chu, Jian-Xin

    2013-04-01

    Based on a retrospective analysis of the drunk driving cases, to explore the drunk drivers' personnel composition, occurrence time and psychology. As a result of punishment of the drunk driving by criminal law for one year from May 1st, 2011 to April 30th, 2012, 91 drunk driving cases were statistically analyzed the easy-happening time of drunk driving, the drunk drivers' age, gender, occupational characteristics, domicile and psychological factors. In 97 drunk driving cases, 26-40 years old, non-local domiciled and non-professional male drivers were prone to drunk driving at night from 22:00 to 5:00. The behavior of drunk driving is relevant to time, age, genders and occupation. The psychological characteristics of most drivers are fluky, making-life-easy, competitive and peacockish.

  12. Using the theory of planned behavior to determine factors influencing processed foods consumption behavior

    Science.gov (United States)

    Kim, Og Yeon; Shim, Soonmi

    2014-01-01

    BACKGROUND/OBJECTIVES The purpose of this study is to identify how level of information affected intention, using the Theory of Planned Behavior. SUBJECTS/METHODS The study was conducted survey in diverse community centers and shopping malls in Seoul, which yielded N = 209 datasets. To compare processed foods consumption behavior, we divided samples into two groups based on level of information about food additives (whether respondents felt that information on food additives was sufficient or not). We analyzed differences in attitudes toward food additives and toward purchasing processed foods, subjective norms, perceived behavioral control, and behavioral intentions to processed foods between sufficient information group and lack information group. RESULTS The results confirmed that more than 78% of respondents thought information on food additives was insufficient. However, the group who felt information was sufficient had more positive attitudes about consuming processed foods and behavioral intentions than the group who thought information was inadequate. This study found people who consider that they have sufficient information on food additives tend to have more positive attitudes toward processed foods and intention to consume processed foods. CONCLUSIONS This study suggests increasing needs for nutrition education on the appropriate use of processed foods. Designing useful nutrition education requires a good understanding of factors which influence on processed foods consumption. PMID:24944779

  13. Using the theory of planned behavior to determine factors influencing processed foods consumption behavior.

    Science.gov (United States)

    Seo, Sunhee; Kim, Og Yeon; Shim, Soonmi

    2014-06-01

    The purpose of this study is to identify how level of information affected intention, using the Theory of Planned Behavior. The study was conducted survey in diverse community centers and shopping malls in Seoul, which yielded N = 209 datasets. To compare processed foods consumption behavior, we divided samples into two groups based on level of information about food additives (whether respondents felt that information on food additives was sufficient or not). We analyzed differences in attitudes toward food additives and toward purchasing processed foods, subjective norms, perceived behavioral control, and behavioral intentions to processed foods between sufficient information group and lack information group. The results confirmed that more than 78% of respondents thought information on food additives was insufficient. However, the group who felt information was sufficient had more positive attitudes about consuming processed foods and behavioral intentions than the group who thought information was inadequate. This study found people who consider that they have sufficient information on food additives tend to have more positive attitudes toward processed foods and intention to consume processed foods. This study suggests increasing needs for nutrition education on the appropriate use of processed foods. Designing useful nutrition education requires a good understanding of factors which influence on processed foods consumption.

  14. Factors Influencing the Safety Behavior of German Equestrians: Attitudes towards Protective Equipment and Peer Behaviors

    Directory of Open Access Journals (Sweden)

    Christina-Maria Ikinger

    2016-02-01

    Full Text Available Human interactions with horses entail certain risks. Although the acceptance and use of protective gear is increasing, a high number of incidents and very low or inconsistent voluntary use of safety equipment are reported. While past studies have examined factors influencing the use of safety gear, they have explored neither their influence on the overall safety behavior, nor their relative influence in relation to each other. The aim of the present study is to fill this gap. We conducted an online survey with 2572 participants. By means of a subsequent multiple regression analysis, we explored 23 different variables in view of their influence on the protective behavior of equestrians. In total, we found 17 variables that exerted a significant influence. The results show that both having positive or negative attitudes towards safety products as well as the protective behavior of other horse owners or riding pupils from the stable have the strongest influence on the safety behavior of German equestrians. We consider such knowledge to be important for both scientists and practitioners, such as producers of protective gear or horse sport associations who might alter safety behavior in such a way that the number of horse-related injuries decreases in the long term.

  15. Arbuscular mycorhizal fungi associated with the olive crop across the Andalusian landscape: factors driving community differentiation.

    Directory of Open Access Journals (Sweden)

    Miguel Montes-Borrego

    Full Text Available BACKGROUND: In the last years, many olive plantations in southern Spain have been mediated by the use of self-rooted planting stocks, which have incorporated commercial AMF during the nursery period to facilitate their establishment. However, this was practised without enough knowledge on the effect of cropping practices and environment on the biodiversity of AMF in olive orchards in Spain. METHODOLOGY/PRINCIPAL FINDINGS: Two culture-independent molecular methods were used to study the AMF communities associated with olive in a wide-region analysis in southern Spain including 96 olive locations. The use of T-RFLP and pyrosequencing analysis of rDNA sequences provided the first evidence of an effect of agronomic and climatic characteristics, and soil physicochemical properties on AMF community composition associated with olive. Thus, the factors most strongly associated to AMF distribution varied according to the technique but included among the studied agronomic characteristics the cultivar genotype and age of plantation and the irrigation regimen but not the orchard management system or presence of a cover crop to prevent soil erosion. Soil physicochemical properties and climatic characteristics most strongly associated to the AMF community composition included pH, textural components and nutrient contents of soil, and average evapotranspiration, rainfall and minimum temperature of the sampled locations. Pyrosequencing analysis revealed 33 AMF OTUs belonging to five families, with Archaeospora spp., Diversispora spp. and Paraglomus spp., being first records in olive. Interestingly, two of the most frequent OTUs included a diverse group of Claroideoglomeraceae and Glomeraceae sequences, not assigned to any known AMF species commonly used as inoculants in olive during nursery propagation. CONCLUSIONS/SIGNIFICANCE: Our data suggests that AMF can exert higher host specificity in olive than previously thought, which may have important implications

  16. Childhood body-focused behaviors and social behaviors as risk factors of eating disorders.

    Science.gov (United States)

    Mangweth, Barbara; Hausmann, Armand; Danzl, Claudia; Walch, Thomas; Rupp, Claudia I; Biebl, Wilfried; Hudson, James I; Pope, Harrison G

    2005-01-01

    The risk factors for adolescent eating disorders are poorly understood. It is generally agreed, however, that interactions with one's body and interactions with others are two important features in the development of anorexia and bulimia nervosa. Therefore, we assessed a variety of childhood body-focused behaviors and childhood social behaviors in eating-disordered patients as compared to non-eating-disordered subjects. We compared 50 female inpatients with eating disorders (anorexia or bulimia nervosa), 50 female inpatients with polysubstance dependence, and 50 nonpatient female control subjects with no history of eating or substance abuse disorders (all defined by DSM-IV criteria), using a semi-structured interview of our own design. We asked questions about (1) childhood body-focused behaviors (e.g. thumb-sucking) and body-focused family experiences (e.g. bodily caresses), and (2) childhood social behaviors (e.g. numbers of close friends) and family social styles (e.g. authoritarian upbringing). Many body-focused measures, such as feeding problems, auto-aggressive behavior, lack of maternal caresses, and family taboos regarding nudity and sexuality, characterized eating-disordered patients as opposed to both comparison groups, as did several social behaviors, such as adjustment problems at school and lack of close friends. However, nail-biting, insecure parental bonding, and childhood physical and sexual abuse were equally elevated in both psychiatric groups. It appears that eating-disordered patients, as compared to substance-dependent patients and healthy controls, show a distinct pattern of body-focused and social behaviors during childhood, characterized by self-harm, a rigid and 'body-denying' family climate, and lack of intimacy. Copyright (c) 2005 S. Karger AG, Basel.

  17. Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning

    International Nuclear Information System (INIS)

    Geng, Yong; Zhao, Hongyan; Liu, Zhu; Xue, Bing; Fujita, Tsuyoshi; Xi, Fengming

    2013-01-01

    In order to uncover driving forces for provincial CO 2 emission in China, a case study was undertaken to shed light on the CO 2 emission growth in such a region. Liaoning province was selected due to its typical features as one industrial province. The environmental input–output analysis and structure decomposing analysis have been conducted in order to provide a holistic picture on Liaoning's CO 2 emissions during 1997–2007. Research outcomes indicate that rapid increase of per capita consumption activities is the main driver for Liaoning to have a significant CO 2 emission growth, followed by consumption structure, production structure and population size. Energy intensity and energy structure partly offset the CO 2 emission increase. Electricity power and heat supply and construction sectors caused the most CO 2 emission, indicating that more specific mitigation policies for these two sectors should be prepared. From final demand point of view, it is clear that trade plays a leading role in regional CO 2 emission, followed by fixed capital investment and urban household consumption which become increasingly important over time. Consequently, in order to realize low carbon development, local governments should consider all these factors so that appropriate mitigation policies can be raised by considering the local realities. - Highlights: • Driving forces for Liaoning's CO 2 emission have been uncovered through the use of IO-SDA model. • Construction and electricity power/heat supply sectors have the highest embodied emissions. • Trade plays a key role on regional CO 2 emission in Chinese old industrial base. • Fixed capital investment and urban households generated more CO 2 emissions

  18. Predictive ability of underlying factors of motorcycle rider behavior: an application of logistic quantile regression for bounded outcomes

    Directory of Open Access Journals (Sweden)

    Masoumeh Babajanpour

    2017-09-01

    Full Text Available Background: The human factors are of great importance, especially Motorcycle Rider BehaviorQuestionnaire (MRBQ and attention deficit hyperactivity disorder (ADHD in motorbike riders in road traffic injuries. This study aimed to predict MRBQ score by ADHD score and the underlying predictors by the logistic quantile regression (LQR, as a new strategy.Methods: In this cross-sectional study, 311 motorbike riders were randomly sampled by a clustering method in Bukan, northwest of Iran. The data were collected by MRBQ and ADHDstandard surveys. To assess the relationship at all levels of MRBQ distribution, LQR in 5th, 25th,50th, 75th and 95th quantiles of MRBQ score was utilized to assess the predictability of ADHDscore and its subscales in addition to the underlying predictors of MRBQ score. To do this, an unadjusted and as well as adjusted 4-step hierarchical modeling was used.Results: Almost in all quantiles of MRBQ scores, direct and significant relationships were observed between MRBQ score and ADHD score and its subscales (coefficients: 0.02 to 0.10, all P < 0.05. Besides, the driving period (coefficients: -0.58 to -0.95, P < 0.05 and hour driving(coefficients: 0.42 to 0.52, P < 0.05 also came to be the significant predictors of MRBQ score.Conclusion: ADHD score and driving parameters can be taken into the consideration when planning actions on the motorcycle rider behaviors at all levels of the MRBQ.

  19. Risk factors influencing smoking behavior: a Turkish twin study.

    Science.gov (United States)

    Oncel, Sevgi Yurt; Dick, Danielle M; Maes, Hermine H; Alıev, Fazil

    2014-12-01

    In this study, we introduce the first twin study in Turkey, focusing on smoking behavior, and laying the foundation to register all twins born in Turkey for research purposes. Using Turkish twins will contribute to our understanding of health problems in the context of cultural differences. We assessed 309 twin pairs (339 males and 279 females) aged between 15 and 45 years living in the Kırıkkale and Ankara regions of Turkey, and administered a health and lifestyle interview that included questions about smoking status and smoking history. We analyzed the data using descriptive statistics, t-tests, chi-square tests, and bivariate and multivariate clustered logistic regression. In addition, we fit bivariate Structural Equation Models (SEM) to determine contributions of latent genetic and environmental factors to smoking outcomes in this sample. One hundred seventy-eight participants (28.8%) were identified as smokers, smoking every day for a month or longer, of whom 79.2% were males and 20.8% were females. Mean values for number of cigarettes per day and the Fagerstrom Test of Nicotine Dependence (FTND; Fagerstrom, 1978) score were higher in males than in females, and age of onset was earlier in males. There was a significant positive correlation between the FTND score and number of cigarettes smoked per day, and a significant negative correlation between both variables and age at onset of smoking. Our study showed that gender, presence of a smoking twin in the family, age, alcohol use, marital status, daily sports activities, and feeling moody all played a significant role in smoking behavior among twins. The twin analysis suggested that 79.5% of the liability to FTND was influenced by genetic factors and 20.5% by unique environment, while familial resemblance for smoking initiation was best explained by common environmental factors. Marked differences in the prevalence of smoking behavior in men versus women were observed for the Turkish population. Genetic

  20. DRIVING AND LIMITING FACTORS IN THE FARM MANAGEMENT BY YOUNG FARMERS IN THE CONTEXT OF SURVEY RESEARCH

    Directory of Open Access Journals (Sweden)

    Barbara Kiełbasa

    2016-03-01

    Full Text Available The purpose of the study was to identify driving and limiting factors of farm management in a region of fragmented agriculture. The paper presents the results of the research conducted in the South-Eastern Poland (Macroregion of Małopolska and Pogórze. The survey was conducted in 2014 in the farms managed by young farmers, i.e. the benefi ciaries of the measure “Setting up of young farmers” from the RDP 2007–2013, with the use of a survey method with a questionnaire interview. The research was empirical, and its main goal was to present a case study of the farm management by young farmers in terms of specifi c management barriers. The results of the studies pointed to the fragmented agrarian structure as the one of the biggest barriers of the eff ective farm management. The young farmers pointed that fragmented agrarian structure signifi cantly impedes the purchase or lease of agricultural land, and the farm development in the same way. The survey pointed to the factors that contribute to the young farmers: the entrepreneurial attitude, activity and creativity, training, the management knowledge and better access to the Common Agricultural Policy instruments.

  1. Phosphorylation of a WRKY Transcription Factor by Two Pathogen-Responsive MAPKs Drives Phytoalexin Biosynthesis in Arabidopsis[C][W

    Science.gov (United States)

    Mao, Guohong; Meng, Xiangzong; Liu, Yidong; Zheng, Zuyu; Chen, Zhixiang; Zhang, Shuqun

    2011-01-01

    Plant sensing of invading pathogens triggers massive metabolic reprogramming, including the induction of secondary antimicrobial compounds known as phytoalexins. We recently reported that MPK3 and MPK6, two pathogen-responsive mitogen-activated protein kinases, play essential roles in the induction of camalexin, the major phytoalexin in Arabidopsis thaliana. In search of the transcription factors downstream of MPK3/MPK6, we found that WRKY33 is required for MPK3/MPK6-induced camalexin biosynthesis. In wrky33 mutants, both gain-of-function MPK3/MPK6- and pathogen-induced camalexin production are compromised, which is associated with the loss of camalexin biosynthetic gene activation. WRKY33 is a pathogen-inducible transcription factor, whose expression is regulated by the MPK3/MPK6 cascade. Chromatin immunoprecipitation assays reveal that WRKY33 binds to its own promoter in vivo, suggesting a potential positive feedback regulatory loop. Furthermore, WRKY33 is a substrate of MPK3/MPK6. Mutation of MPK3/MPK6 phosphorylation sites in WRKY33 compromises its ability to complement the camalexin induction in the wrky33 mutant. Using a phospho-protein mobility shift assay, we demonstrate that WRKY33 is phosphorylated by MPK3/MPK6 in vivo in response to Botrytis cinerea infection. Based on these data, we conclude that WRKY33 functions downstream of MPK3/MPK6 in reprogramming the expression of camalexin biosynthetic genes, which drives the metabolic flow to camalexin production in Arabidopsis challenged by pathogens. PMID:21498677

  2. Phosphorylation of a WRKY transcription factor by two pathogen-responsive MAPKs drives phytoalexin biosynthesis in Arabidopsis.

    Science.gov (United States)

    Mao, Guohong; Meng, Xiangzong; Liu, Yidong; Zheng, Zuyu; Chen, Zhixiang; Zhang, Shuqun

    2011-04-01

    Plant sensing of invading pathogens triggers massive metabolic reprogramming, including the induction of secondary antimicrobial compounds known as phytoalexins. We recently reported that MPK3 and MPK6, two pathogen-responsive mitogen-activated protein kinases, play essential roles in the induction of camalexin, the major phytoalexin in Arabidopsis thaliana. In search of the transcription factors downstream of MPK3/MPK6, we found that WRKY33 is required for MPK3/MPK6-induced camalexin biosynthesis. In wrky33 mutants, both gain-of-function MPK3/MPK6- and pathogen-induced camalexin production are compromised, which is associated with the loss of camalexin biosynthetic gene activation. WRKY33 is a pathogen-inducible transcription factor, whose expression is regulated by the MPK3/MPK6 cascade. Chromatin immunoprecipitation assays reveal that WRKY33 binds to its own promoter in vivo, suggesting a potential positive feedback regulatory loop. Furthermore, WRKY33 is a substrate of MPK3/MPK6. Mutation of MPK3/MPK6 phosphorylation sites in WRKY33 compromises its ability to complement the camalexin induction in the wrky33 mutant. Using a phospho-protein mobility shift assay, we demonstrate that WRKY33 is phosphorylated by MPK3/MPK6 in vivo in response to Botrytis cinerea infection. Based on these data, we conclude that WRKY33 functions downstream of MPK3/MPK6 in reprogramming the expression of camalexin biosynthetic genes, which drives the metabolic flow to camalexin production in Arabidopsis challenged by pathogens.

  3. Contextual Factors and Sexual Risk Behaviors Among Young, Black Men.

    Science.gov (United States)

    Jones, Jamal; Salazar, Laura F; Crosby, Richard

    2017-05-01

    Young Black men (YBM), aged 13 to 24 years, face a disproportionate burden of sexually transmitted infections (STIs). STI acquisition among YBM is due to incorrect and inconsistent condom use and is exacerbated by multiple sexual partners. Sexual and reproductive health is influenced by a complex interaction of biological, psychological, and social determinants that contribute to increased risk for STI acquisition. However, there are key social determinants of sexual health that play a major role in adolescent sexual risk-taking behaviors: gender norms, environment, peers, and families as well as a desire to impregnate a woman. Associations between contextual factors (risky environmental context, desire to impregnate a woman, and peer norms supportive of unsafe sex) and sexual risk behaviors were examined among a sample of YBM attending adolescent health clinics. This study used baseline data from a randomized controlled trial ( N = 702). Parental monitoring was also examined as an effect modifier of those associations. Sexual risk behaviors were the frequency of condomless vaginal sex, number of sexual partners within the previous 2 months, and lifetime number of sexual partners. Mean age was 19.7. In the adjusted model, peer norms was the only significant predictor for all sexual risk outcomes ( p < .05). Parental monitoring was an effect modifier for the perceived peer norms and lifetime sexual partners association ( p = .053) where the effect of peer norms on lifetime sexual partners was lower for participants with higher levels of perceived parental monitoring.

  4. Factors influencing adolescents engagement in risky Internet behavior.

    Science.gov (United States)

    Liau, Albert Kienfie; Khoo, Angeline; Ang, Peng Hwa

    2005-12-01

    The present study used data from the SAFT (Safety, Awareness, Facts and Tools) Singapore survey, a national survey of 1,124 youths aged 12-17, to explore the issue of risk on the Internet. We investigated factors that influence adolescents' engagement in risky Internet behavior, in particular, meeting face-to-face someone they first encountered online. The adolescents ranged from ages 12 to 17, with a mean of 14.32 (SD = 1.37); 49.6% of the adolescents were girls. The study utilized a 93-item survey that was part of the SAFT Project. Results indicated that 16% of adolescent Internet users in Singapore have had a face-to-face meeting with someone first encountered online. The following factors were found to be predictors of adolescents engagement in such face-to-face meetings: age, frequency of Internet use, frequency of chatting and gaming behavior, parental rules, type of personal information given out, amount of inappropriate messages received, whether inappropriate websites have been visited, and type of internet advice heard. Implications of the results are discussed.

  5. Internet gambling is a predictive factor of Internet addictive behavior.

    Science.gov (United States)

    Critselis, Elena; Janikian, Mari; Paleomilitou, Noni; Oikonomou, Despoina; Kassinopoulos, Marios; Kormas, George; Tsitsika, Artemis

    2013-12-01

    Adolescent Internet gambling is associated with concomitant addictive behaviors. This study aimed to assess the prevalence of Internet gambling practices, its impact upon psychosocial development and to evaluate the association between gambling practices and Internet addictive behavior among Cypriot adolescents. A cross-sectional study was conducted in a convenience sample (n = 805) of adolescents attending selected public schools (9th and 10th grades) in Cyprus. Anonymous self-completed questionnaires were used including the Internet Addiction Test and the Strengths and Difficulties Questionnaire. Among the study population (n = 805), approximately one third (n = 28; 34.9%) reported Internet gambling. Internet gamblers were twice as likely to utilize Internet café portals (adjusted odds ratio for gender and age, AOR: 2.13; 95% confidence interval, 95% CI: 1.56-2.91) for interactive game-playing (AOR: 6.84; 95% CI: 4.23-11.07), chat-rooms (AOR: 2.57; 95% CI: 1.31-4.85), and retrieval of sexual information (AOR: 1.99; 95% CI: 1.42-2.81). Among Internet gamblers 26.0% (n = 73) reported borderline addictive Internet use and 4.3% (n = 12) addictive behavior. Internet gamblers more often had comprehensive psychosocial and emotional maladjustment (AOR: 4.00; 95% CI: 1.97-8.13), including Abnormal Conduct Problems (AOR: 3.26; 95% CI: 2.00-5.32), Emotional Symptoms (AOR: 1.78; 95% CI: 1.02-3.11), and Peer Problems (AOR: 2.44; 95% CI: 1.08-5.48) scores. The multivariate regression analyses indicated that the single independent predictor associated with Internet addictive behavior was Internet gambling (AOR: 5.66; 95% CI: 1.45-22.15). Internet gambling is associated with addictive Internet use, as well as emotional maladjustment and behavioral problems, among Cypriot adolescents. Longitudinal studies are needed to elucidate whether Internet gambling constitutes a risk factor for the development of Internet addictive behavior among adolescents.

  6. Permafrost as an additional driving factor for the extreme fire event in the boreal Baikal region in 2003

    Science.gov (United States)

    Forkel, M.; Thonicke, K.; Beer, C.; Cramer, W.; Bartalev, S.; Schmullius, C.

    2012-04-01

    Wildfires are a natural and important element in the functioning of boreal forests. However, in some years, fires with extreme spread and severity occur. Such severe fires degrade the forest, affect human values, emit huge amount of carbon and aerosols and alter the land surface albedo. Usually, wind, slope, and dry conditions have been recognized as factors determining fire spread. In the Baikal region, 127,000 km2 burned in 2003, while the annual average burned area is approx. 8100 km2. In average years, 16% of the burned area occurred in the continuous permafrost zone but in 2003, 33% of these burned areas coincide with the existence of permanently frozen grounds. Permafrost and the associated upper active layer, which thaws during summer and refreezes during winter, is an important supply for soil moisture in boreal ecosystems. This leads to the question if permafrost hydrology is a potential additional driving factor for extreme fire events in boreal forests. Using temperature and precipitation data, we calculated the Nesterov index as indicator for fire weather conditions. Further, we used satellite observations of burned area and surface moisture, a digital elevation model, a land cover and a permafrost map to evaluate drivers for the temporal dynamic and spatial variability of surface moisture conditions and burned area in spring 2003. On the basis of time series decomposition, we separated the effect of drivers for fire activity on different time scales. We next computed cross-correlations to identify potential time lags between weather conditions, surface moisture and fire activity. Finally, we assessed the predictive capability of different combinations of driving variables for surface moisture conditions and burned area using multivariate spatial-temporal regression models. The results from this study demonstrate that permafrost in larch-dominated ecosystems regulates the inter-annual variability of surface moisture and thus increases the inter

  7. Driving factors of retention in care among HIV-positive MSM and transwomen in Indonesia: A cross-sectional study

    Science.gov (United States)

    Erasmus, Vicki; Coulter, Robert W. S.; Koirala, Sushil; Nampaisan, Oranuch; Pamungkas, Wirastra; Richardus, Jan Hendrik

    2018-01-01

    Little is known about the prevalence of and factors that influence retention in HIV-related care among Indonesian men who have sex with men (MSM) and transgender women (transwomen, or waria in Indonesian term). Therefore, we explored the driving factors of retention in care among HIV-positive MSM and waria in Indonesia. This cross-sectional study involved 298 self-reported HIV-positive MSM (n = 165) and waria (n = 133). Participants were recruited using targeted sampling and interviewed using a structured questionnaire. We applied a four-step model building process using multivariable logistic regression to examine how sociodemographic, predisposing, enabling, and reinforcing factors were associated with retention in care. Overall, 78.5% of participants were linked to HIV care within 3 months after diagnosis or earlier, and 66.4% were adequately retained in care (at least one health care visit every three months once a person is diagnosed with HIV). Being on antiretroviral therapy (adjusted odds ratio [AOR] = 6.00; 95% confidence interval [CI]: 2.93–12.3), using the Internet to find HIV-related information (AOR = 2.15; 95% CI: 1.00–4.59), and having medical insurance (AOR = 2.84; 95% CI: 1.27–6.34) were associated with adequate retention in care. Involvement with an HIV-related organization was associated negatively with retention in care (AOR = 0.47; 95% CI: 0.24–0.95). Future interventions should increase health insurance coverage and utilize the Internet to help MSM and waria to remain in HIV-related care, thereby assisting them in achieving viral suppression. PMID:29342172

  8. Predicting muscularity-related behavior, emotions, and cognitions in men: The role of psychological need thwarting, drive for muscularity, and mesomorphic internalization.

    Science.gov (United States)

    Edwards, Christian; Tod, David; Molnar, Gyozo; Markland, David

    2016-09-01

    We examine the relationships that internalization, need thwarting (NT), and drive for muscularity (DFM), along with their interactions, had with weightlifting, muscle dissatisfaction (MD), and muscle-related-worry (MRW). A sample of 552 men (MAge=20.5 years, SD=3.1) completed the Psychological Need Thwarting Scale, the Internalization subscale of the male version of the Sociocultural Attitudes Towards Appearance Questionnaire, the Drive for Muscularity Scale-Attitudes subscale, the Male Body Attitudes Scale-Muscularity subscale, the Body Change Inventory-Worry subscale, and an inventory assessing weightlifting behavior. DFM significantly predicted weightlifting, MRW, and MD. Internalization significantly predicted weightlifting and MRW. NT significantly predicted weightlifting and MD, and its relationship with MRW approached significance. The interaction terms did not predict weightlifting or MRW. The NT/DFM and NT/Internalization interaction terms predicted MD. These results highlight the role of NT in predicting appearance variables in men. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. [Acoustic evoked driving reactions in the EEG and their conditioning related to the personality factor extraversion-introversion (author's transl)].

    Science.gov (United States)

    Haidmayer, I; Schulter, G

    1980-12-01

    Clicks were delivered in trains of 2,5 s duration at click repetition rates of 5 or 8/s to provoke rhythmical activity in the vertex-EEG ('driving response') and to condition the driving response to neutral stimuli in a discrimination paradigm. The Eysenck Personality Inventory was administered to define an independent personality variable, i.e. extraversion-introversion; the interaction of background activity, driving and conditioned driving response with the personality dimension was analyzed. In the background EEG there was a significant difference in the absolute power of the fast alpha-band between introverts and extraverts. Driving was only observed in the fundamental frequency of acoustic stimulation, not in the first harmonic. There was no interaction between driving response and extraversion-introversion or resting EEG activity. Classical conditioning of the driving response was successful with introverts only. Results were interpreted within the framework of Eysenck's personality theory. The possibility to study neurophysiological correlates of memory processes in humans by means of conditioned driving responses is discussed.

  10. Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving

    International Nuclear Information System (INIS)

    Schall, Dominik L.; Mohnen, Alwine

    2017-01-01

    Highlights: • We conduct a natural field experiment on incentives for fuel-efficient driving. • A monetary and a tangible non-monetary reward for eco-driving are compared. • The non-monetary reward results in an average reduction of fuel consumption of 5%. • There is only a small reduction effect in the equivalent monetary reward treatment. • Emphasis of fun, emotional responses and frequency of recalling might play a role. - Abstract: Reducing greenhouse gas emissions is a highly prevalent goal of public policy in many countries around the world. Convincing people to drive more fuel-efficiently (“eco-driving”) can contribute substantially to this goal and is often an integral part of policy initiatives. However, there is a lack of scientific studies on the effects of individual monetary and non-monetary incentives for eco-driving, especially in organizational settings and with regards to demonstrating causality, e.g., by using controlled experiments. We address this gap with a six months long controlled natural field experiment and introduce a monetary and a non-monetary reward for eco-driving to drivers of light commercial vehicles in different branches of a logistics company. Our results show an average reduction of fuel consumption of 5% due to a tangible non-monetary reward and suggest only a small reduction of the average fuel consumption in the equivalent monetary reward treatment. We find indications that more emphasis on the fun of achieving a higher fuel efficiency, a more emotional response to non-monetary incentives, and a higher frequency of thinking and talking about non-monetary incentives might play a role in the stronger effect of the tangible non-monetary reward. Policy implications for private and public actors are discussed.

  11. Global Rice Watch: Spatial-temporal dynamics, driving factors, and impacts of paddy rice agriculture in the world

    Science.gov (United States)

    Xiao, X.; Dong, J.; Zhang, G.; Xin, F.; Li, X.

    2017-12-01

    Paddy rice croplands account for more than 12% of the global cropland areas, and provide food to feed more than 50% of the world population. Spatial patterns and temporal dynamics of paddy rice croplands have changed remarkably in the past decades, driven by growing human population and their changing diet structure, land use (e.g., urbanization, industrialization), climate, markets, and technologies. In this presentation, we will provide a comprehensive review of our current knowledge on (1) the spatial patterns and temporal dynamics of paddy rice croplands from agricultural statistics data and remote sensing approaches; (2) major driving factors for the observed changes in paddy rice areas, including social, economic, climate, land use, markets, crop breeding technology, and farming technology; and (3) major impacts on atmospheric methane concentration, land surface temperature, water resources and use, and so on. We will highlight the results from a few case studies in China and monsoon Asia. We will also call for a global synthesis analysis of paddy rice agriculture, and invite researchers to join the effort to write and edit a book that provides comprehensive and updated knowledge on paddy rice agriculture.

  12. Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China

    Directory of Open Access Journals (Sweden)

    Zhonglei Yu

    2017-01-01

    Full Text Available Farmland abandonment, including perennial and seasonal abandonment, is an important process of land use change that matters most to food security. Although there is a great deal of studies on farmland abandonment, seasonal abandonment, which is as serious as perennial abandonment, has attracted little academic attention. This paper takes Hunan Province in central China as its study area and uses a spatial regression model to examine the driving factors of seasonal farmland abandonment at the county level. Our results show that farmland abandonment has striking spatial relativity, and there are two clustering zones with a high index of farmland abandonment (IFA in the Dongting plain and the basin in south-central Hunan, while a clustering zone of low IFA can be found in the mountains of southwest Hunan. Farmland abandonment at the regional level is negatively affected by the land productive potentialities, proportion of mechanized planting, ratio of effective irrigation, and distance to provincial capital, while it is positively associated with the variables mountainous terrain, per capita farmland area, and labor shortage. Additionally, farmland abandonment is also affected by adjacent areas through its spatial dependence. In short, seasonal farmland abandonment is also driven integratedly by the socioeconomic and environmental dimensions and spatial interaction of farm abandonment.

  13. Low oxygen pressure as a driving factor for the altitudinal decline in taxon richness of stream macroinvertebrates

    DEFF Research Database (Denmark)

    Jacobsen, Dean

    2008-01-01

    The objective of this study was to explore the altitudinal decrease in local richness of stream macroinvertebrates. I compared the explicatory power of a mid-domain effect (MDE) null model and a number of selected contemporary ecological variables, with a special emphasis on the altitude-mediated......The objective of this study was to explore the altitudinal decrease in local richness of stream macroinvertebrates. I compared the explicatory power of a mid-domain effect (MDE) null model and a number of selected contemporary ecological variables, with a special emphasis on the altitude......-mediated decrease in temperature and oxygen availability as possible driving factors for the observed pattern. Benthic macroinvertebrates were sampled at 30 stream sites between 2,600 and 4,000 m a.s.l. in northern Ecuador. All four measures of local richness (total number of taxa, taxa in Surber samples, Fisher...... with increasing altitude is mainly caused by a decrease in oxygen saturation rather than by a decrease in temperature. Levels of oxygen saturation such as those found at high altitudes do not appear to be lethal to any species, but could affect macroinvertebrates through long-term, sub-lethal effects. I suggest...

  14. Can We Study Autonomous Driving Comfort in Moving-Base Driving Simulators? A Validation Study.

    Science.gov (United States)

    Bellem, Hanna; Klüver, Malte; Schrauf, Michael; Schöner, Hans-Peter; Hecht, Heiko; Krems, Josef F

    2017-05-01

    To lay the basis of studying autonomous driving comfort using driving simulators, we assessed the behavioral validity of two moving-base simulator configurations by contrasting them with a test-track setting. With increasing level of automation, driving comfort becomes increasingly important. Simulators provide a safe environment to study perceived comfort in autonomous driving. To date, however, no studies were conducted in relation to comfort in autonomous driving to determine the extent to which results from simulator studies can be transferred to on-road driving conditions. Participants ( N = 72) experienced six differently parameterized lane-change and deceleration maneuvers and subsequently rated the comfort of each scenario. One group of participants experienced the maneuvers on a test-track setting, whereas two other groups experienced them in one of two moving-base simulator configurations. We could demonstrate relative and absolute validity for one of the two simulator configurations. Subsequent analyses revealed that the validity of the simulator highly depends on the parameterization of the motion system. Moving-base simulation can be a useful research tool to study driving comfort in autonomous vehicles. However, our results point at a preference for subunity scaling factors for both lateral and longitudinal motion cues, which might be explained by an underestimation of speed in virtual environments. In line with previous studies, we recommend lateral- and longitudinal-motion scaling factors of approximately 50% to 60% in order to obtain valid results for both active and passive driving tasks.

  15. Predicting the Problem Behavior in Adolescents

    Science.gov (United States)

    Karaman, Neslihan G.

    2013-01-01

    Problem statement: Problem behavior theory describes both protective factors and risk factors to explain adolescent problem behaviors, such as delinquency, alcohol use, and reckless driving. The theory holds that problem behaviors involving risky behavior are used by adolescents as a means to gain peer acceptance and respect. Problem behaviors…

  16. Factors Influencing Consumer Behavior Towards Online Shopping in Saudi Arabia

    Directory of Open Access Journals (Sweden)

    Hani A

    2015-08-01

    Full Text Available This study intends to identify factors that may affect consumer behavior in Saudi Arabia while shopping online. Although Saudi Arabia has the largest and fastest growing ICT in the Middle East and the online shopping activities in Saudi are increasing rapidly, it is still lagging behind the global development. The four factors–website design quality, perceived trust, perceived convenience and advertisements & promotions were selected from the available literature. A survey was conducted and questionnaire that includes 25 questions was distributed randomly to a sample of 107 participants in Dammam city (in the Eastern Province of the kingdom. The collected data was analyzed by using SPSS software. The result indicates one hypothesis has been accepted. The findings of the study are analyzed and discussed further at the end of this paper.

  17. Conditioning factors of innovation in the internet purchase behavior

    Directory of Open Access Journals (Sweden)

    Fernando Colmenero Ferreira

    2004-01-01

    Full Text Available The several discussions about the electronic commerce and their implications encourage as much the companies as the consumers. However, more important than the quantification of the phenomenon, it the understanding of itself, as the Internet can be assumed as a business tool with positive repercussions in the businesses, as well as the potential market was transactions can be realized.In this study, we tried to identify the most relevant factors in the configuration and presentation of the offer whose impacts allow to unchain a certain purchase decision, as well as, to verify the relationship among the degree of entertainment, pleasure/easy to use and implication/involvement with the information of each Website and the adoption of purchase innovators' behaviors.

  18. A long-term mechanistic computational model of physiological factors driving the onset of type 2 diabetes in an individual.

    Directory of Open Access Journals (Sweden)

    Joydeep Sarkar

    Full Text Available A computational model of the physiological mechanisms driving an individual's health towards onset of type 2 diabetes (T2D is described, calibrated and validated using data from the Diabetes Prevention Program (DPP. The objective of this model is to quantify the factors that can be used for prevention of T2D. The model is energy and mass balanced and continuously simulates trajectories of variables including body weight components, fasting plasma glucose, insulin, and glycosylated hemoglobin among others on the time-scale of years. Modeled mechanisms include dynamic representations of intracellular insulin resistance, pancreatic beta-cell insulin production, oxidation of macronutrients, ketogenesis, effects of inflammation and reactive oxygen species, and conversion between stored and activated metabolic species, with body-weight connected to mass and energy balance. The model was calibrated to 331 placebo and 315 lifestyle-intervention DPP subjects, and one year forecasts of all individuals were generated. Predicted population mean errors were less than or of the same magnitude as clinical measurement error; mean forecast errors for weight and HbA1c were ~5%, supporting predictive capabilities of the model. Validation of lifestyle-intervention prediction is demonstrated by synthetically imposing diet and physical activity changes on DPP placebo subjects. Using subject level parameters, comparisons were made between exogenous and endogenous characteristics of subjects who progressed toward T2D (HbA1c > 6.5 over the course of the DPP study to those who did not. The comparison revealed significant differences in diets and pancreatic sensitivity to hyperglycemia but not in propensity to develop insulin resistance. A computational experiment was performed to explore relative contributions of exogenous versus endogenous factors between these groups. Translational uses to applications in public health and personalized healthcare are discussed.

  19. Granulocyte-colony-stimulating factor (G-CSF) signaling in spinal microglia drives visceral sensitization following colitis.

    Science.gov (United States)

    Basso, Lilian; Lapointe, Tamia K; Iftinca, Mircea; Marsters, Candace; Hollenberg, Morley D; Kurrasch, Deborah M; Altier, Christophe

    2017-10-17

    Pain is a main symptom of inflammatory diseases and often persists beyond clinical remission. Although we have a good understanding of the mechanisms of sensitization at the periphery during inflammation, little is known about the mediators that drive central sensitization. Recent reports have identified hematopoietic colony-stimulating factors as important regulators of tumor- and nerve injury-associated pain. Using a mouse model of colitis, we identify the proinflammatory cytokine granulocyte-colony-stimulating factor (G-CSF or Csf-3) as a key mediator of visceral sensitization. We report that G-CSF is specifically up-regulated in the thoracolumbar spinal cord of colitis-affected mice. Our results show that resident spinal microglia express the G-CSF receptor and that G-CSF signaling mediates microglial activation following colitis. Furthermore, healthy mice subjected to intrathecal injection of G-CSF exhibit pronounced visceral hypersensitivity, an effect that is abolished by microglial depletion. Mechanistically, we demonstrate that G-CSF injection increases Cathepsin S activity in spinal cord tissues. When cocultured with microglia BV-2 cells exposed to G-CSF, dorsal root ganglion (DRG) nociceptors become hyperexcitable. Blocking CX3CR1 or nitric oxide production during G-CSF treatment reduces excitability and G-CSF-induced visceral pain in vivo. Finally, administration of G-CSF-neutralizing antibody can prevent the establishment of persistent visceral pain postcolitis. Overall, our work uncovers a DRG neuron-microglia interaction that responds to G-CSF by engaging Cathepsin S-CX3CR1-inducible NOS signaling. This interaction represents a central step in visceral sensitization following colonic inflammation, thereby identifying spinal G-CSF as a target for treating chronic abdominal pain.

  20. Psychological factors that promote behavior modification by obese patients

    Directory of Open Access Journals (Sweden)

    Nakagawa Akinori

    2009-09-01

    Full Text Available Abstract Background The weight-loss effect of team medical care in which counseling is provided by clinical psychologists was investigated in an university hospital obesity (OB clinic. Nutritional and exercise therapy were also studied. In our previous study, we conducted a randomized, controlled trial with obese patients and confirmed that subjects who received counseling lost significantly more weight than those in a non-counseling group. The purpose of this study was to identify the psychological characteristics assessed by ego states that promote behavior modification by obese patients. Methods 147 obese patients (116 females, 31 males; mean age: 45.9 ± 15.4 years participated in a 6-month weight-loss program in our OB clinic. Their psychosocial characteristics were assessed using the Tokyo University Egogram (TEG before and after intervention. The Wilcoxon signed rank test was used to compare weight and psychological factors before and after intervention. Multiple regression analysis was used to identify factors affecting weight loss. Results Overall, 101 subjects (68.7% completed the program, and their data was analyzed. The subjects mean weight loss was 6.2 ± 7.3 kg (Z = 7.72, p 2 (Z = 7.65, p Z = 1.95, p Z = 2.46, p p p = 0.06 was observed. Conclusion This study of a 6-month weight-loss program that included counseling by clinical psychologists confirmed that the A ego state of obese patients, which is related to their self-monitoring skill, and the FC ego state of them, which is related to their autonomy, were increased. Furthermore, the negative aspects of the FC ego state related to optimistic and instinctive characteristics inhibited the behavior modification, while the A ego state represented objective self-monitoring skills that may have contributed to weight loss.

  1. CONSUMER BEHAVIOR AND FACTORS INFLUENCING PURCHASE DECISION OF XIAOMI SMART PHONES

    OpenAIRE

    Gireesan E M

    2017-01-01

    Consumer Behaviour is a branch which deals with the various stages a consumer goes through before purchasing products or services for his end use. Consumer behavior can be broadly classified as the decisions and actions that influence the purchasing behavior of a consumer. What drives consumers to choose a particular product with respect to others is a question which is often analyzed and studied by marketers. Most of the selection process involved in purchasing is based on emotions and reaso...

  2. Role of thermodynamic, kinetic and structural factors in the recrystallization behavior of amorphous erythromycin salts

    Energy Technology Data Exchange (ETDEWEB)

    Nanakwani, Kapil; Modi, Sameer R.; Kumar, Lokesh; Bansal, Arvind K., E-mail: akbansal@niper.ac.in

    2014-04-01

    Graphical abstract: - Highlights: • Crystallization kinetics of amorphous erythromycin salts was assessed. • Contribution of thermodynamic, kinetic and structural factors was evaluated. • Role of counterions on physical stability of amorphous salts was investigated. • Implications of the study: In rationalizing stabilization approach for amorphous form. - Abstract: Amorphous form has become an important drug delivery strategy for poorly water soluble drugs. However, amorphous form has inherent physical instability due to its tendency to recrystallize to stable crystalline form. In the present study, amorphous forms of erythromycin free base (ED) and its salts namely, stearate (ES), phosphate (EP) and thiocyanate (ET) were generated by in situ melt quenching and evaluated for their crystallization tendency. Salts were characterized for kinetic, thermodynamic and structural factors to understand crystallization behavior. Kinetics of crystallization followed the order as ES > EP > ET > ED. Fragility and molecular mobility does not completely explain these findings. However, configurational entropy (S{sub conf}), indicative of entropic barrier to crystallization, followed the order as ET > EP > ES > ED. Lower crystallization tendency of ED can be explained by its lower thermodynamic driving force for crystallization (H{sub conf}). This correlated well with different structural parameters for the counter ions.

  3. The Effectiveness of “Improvement of Driver-Behavior Program” on Self-Control of Individuals Whose Driving Licenses Have Been Seized due to Drinking and Driving.

    Directory of Open Access Journals (Sweden)

    Ýbrahim Taymur

    2014-12-01

    Conclusion: We conclude that the quality of “Driver-Behavior Improvement Program” should be enhanced by extending the duration of the education and addressing the age factor in improving self-control features of the relevant individuals. [JCBPR 2014; 3(3.000: 182-190

  4. The relationship of drive for muscularity to sociocultural factors, self-esteem, physical attributes gender role, and social comparison in middle school boys.

    Science.gov (United States)

    Smolak, Linda; Stein, Jonathan A

    2006-06-01

    This study examines the relationship of three sociocultural factors-media influence, peer teasing, and parent teasing/comments and three potential moderator variables-self-esteem, social comparison, and endorsement of male strength and athleticism-to drive for muscularity in middle school boys. There were 287 seventh and eighth grade boys who completed a questionnaire measuring these variables as well as body mass index (BMI) and pubertal status. Results indicated that media influence and male physical attributes endorsement were particularly important correlates of drive for muscularity. These findings have implications for programs designed to prevent body dissatisfaction among adolescent boys.

  5. Risky Decision Making in a Laboratory Driving Task Is Associated with Health Risk Behaviors during Late Adolescence but Not Adulthood

    Science.gov (United States)

    Kim-Spoon, Jungmeen; Kahn, Rachel; Deater-Deckard, Kirby; Chiu, Pearl; Steinberg, Laurence; King-Casas, Brooks

    2016-01-01

    Adolescence is characterized by increasing incidence of health risk behaviors, including experimentation with drugs and alcohol. To fill the gap in our understanding of the associations between risky decision-making and health risk behaviors, we investigated associations between laboratory-based risky decision-making using the Stoplight task and…

  6. Brain Endothelial- and Epithelial-Specific Interferon Receptor Chain 1 Drives Virus-Induced Sickness Behavior and Cognitive Impairment

    NARCIS (Netherlands)

    Blank, Thomas; Detje, Claudia N.; Spiess, Alena; Hagemeyer, Nora; Brendecke, Stefanie M.; Wolfart, Jakob; Staszewski, Ori; Zoeller, Tanja; Papageorgiou, Ismini; Schneider, Justus; Paricio-Montesinos, Ricardo; Eisel, Ulrich L. M.; Manahan-Vaughan, Denise; Jansen, Stephan; Lienenklaus, Stefan; Lu, Bao; Imai, Yumiko; Mueller, Marcus; Goelz, Susan E.; Baker, Darren P.; Schwaninger, Markus; Kann, Oliver; Heikenwalder, Mathias; Kalinke, Ulrich; Prinz, Marco

    2016-01-01

    Sickness behavior and cognitive dysfunction occur frequently by unknown mechanisms in virus-infected individuals with malignancies treated with type I interferons (IFNs) and in patients with autoimmune disorders. We found that during sickness behavior, single-stranded RNA viruses, double-stranded

  7. Changes in chromatin state reveal ARNT2 at a node of a tumorigenic transcription factor signature driving glioblastoma cell aggressiveness.

    Science.gov (United States)

    Bogeas, Alexandra; Morvan-Dubois, Ghislaine; El-Habr, Elias A; Lejeune, François-Xavier; Defrance, Matthieu; Narayanan, Ashwin; Kuranda, Klaudia; Burel-Vandenbos, Fanny; Sayd, Salwa; Delaunay, Virgile; Dubois, Luiz G; Parrinello, Hugues; Rialle, Stéphanie; Fabrega, Sylvie; Idbaih, Ahmed; Haiech, Jacques; Bièche, Ivan; Virolle, Thierry; Goodhardt, Michele; Chneiweiss, Hervé; Junier, Marie-Pierre

    2018-02-01

    Although a growing body of evidence indicates that phenotypic plasticity exhibited by glioblastoma cells plays a central role in tumor development and post-therapy recurrence, the master drivers of their aggressiveness remain elusive. Here we mapped the changes in active (H3K4me3) and repressive (H3K27me3) histone modifications accompanying the repression of glioblastoma stem-like cells tumorigenicity. Genes with changing histone marks delineated a network of transcription factors related to cancerous behavior, stem state, and neural development, highlighting a previously unsuspected association between repression of ARNT2 and loss of cell tumorigenicity. Immunohistochemistry confirmed ARNT2 expression in cell sub-populations within proliferative zones of patients' glioblastoma. Decreased ARNT2 expression was consistently observed in non-tumorigenic glioblastoma cells, compared to tumorigenic cells. Moreover, ARNT2 expression correlated with a tumorigenic molecular signature at both the tissue level within the tumor core and at the single cell level in the patients' tumors. We found that ARNT2 knockdown decreased the expression of SOX9, POU3F2 and OLIG2, transcription factors implicated in glioblastoma cell tumorigenicity, and repressed glioblastoma stem-like cell tumorigenic properties in vivo. Our results reveal ARNT2 as a pivotal component of the glioblastoma cell tumorigenic signature, located at a node of a transcription factor network controlling glioblastoma cell aggressiveness.

  8. Adolescents can know best: using concept mapping to identify factors and pathways driving adolescent sexuality in Lima, Peru.

    Science.gov (United States)

    Bayer, Angela M; Cabrera, Lilia Z; Gilman, Robert H; Hindin, Michelle J; Tsui, Amy O

    2010-06-01

    The primary objective of this study was to identify and describe individual- and environmental-level factors that Peruvian adolescents perceive to be related to adolescent sexuality. A series of concept mapping sessions were carried out from January-March 2006 with 63 15-17 year olds from a low-income community near Lima in order for adolescents to: (1) brainstorm items that they thought were related to sexuality, (2) sort, group and rate items to score their importance for sexuality-related outcomes, and (3) create pathways from the groups of items to engaging in sex. Brainstorming resulted in 61 items, which participants grouped into 11 clusters. The highest rated clusters were personal values, respect and confidence in partner relationships, future achievements and parent-child communication. The pathway of decision-making about having sex primarily contained items rated as only moderately important. This study identified important understudied factors, new perspectives on previously-recognized factors, and possible pathways to sexual behavior. These interesting and provocative findings underscore the importance of directly integrating adolescent voices into future sexual and reproductive health research, policies and programs that target this population. Copyright 2010 Elsevier Ltd. All rights reserved.

  9. Mechanisms Driving Galling Success in a Fragmented Landscape: Synergy of Habitat and Top-Down Factors along Temperate Forest Edges.

    Directory of Open Access Journals (Sweden)

    Nina-S Kelch

    Full Text Available Edge effects play key roles in the anthropogenic transformation of forested ecosystems and their biota, and are therefore a prime field of contemporary fragmentation research. We present the first empirical study to address edge effects on the population level of a widespread galling herbivore in a temperate deciduous forest. By analyzing edge effects on abundance and trophic interactions of beech gall midge (Mikiola fagi Htg., we found 30% higher gall abundance in the edge habitat as well as lower mortality rates due to decreased top-down control, especially by parasitoids. Two GLM models with similar explanatory power (58% identified habitat specific traits (such as canopy closure and altitude and parasitism as the best predictors of gall abundance. Further analyses revealed a crucial influence of light exposure (46% on top-down control by the parasitoid complex. Guided by a conceptual framework synthesizing the key factors driving gall density, we conclude that forest edge proliferation of M. fagi is due to a complex interplay of abiotic changes and trophic control mechanisms. Most prominently, it is caused by the microclimatic regime in forest edges, acting alone or in synergistic concert with top-down pressure by parasitoids. Contrary to the prevailing notion that specialists are edge-sensitive, this turns M. fagi into a winner species in fragmented temperate beech forests. In view of the increasing proportion of edge habitats and the documented benefits from edge microclimate, we call for investigations exploring the pest status of this galling insect and the modulators of its biological control.

  10. Dynamic of Dalinor Lakes in the Inner Mongolian Plateau and Its Driving Factors during 1976–2015

    Directory of Open Access Journals (Sweden)

    Haidong Li

    2017-09-01

    Full Text Available Climate change and increasing human activities have induced lake expansion or shrinkage, posing a serious threat to the ecological security on the Inner Mongolian Plateau, China. However, the pattern of lake changes and how it responds to climate change and revegetation have rarely been reported. We investigated the pattern of lake-area changes in the Dalinor National Nature Reserve (DNR using Landsat imagery during 1976–2015, and examined its relationship with changes in climate and vegetation factors. The total lake-area in the DNR has decreased by 11.6% from 1976 to 2015 with a rate of −0.55 km2 year−1. The largest Dalinor Lake reduced the most (by 32.7 km2 with a rate of −0.79 km2 year−1. The air temperature has increased significantly since 1976, with a rate of 0.03 °C year−1 (p < 0.05, while the precipitation slightly decreased during 1976–2015, with a rate of −0.86 mm year−1. The Normalized Difference Vegetation Index (NDVI increased by 27.7% from 1976 to 2015, especially after 2001 when vegetation has been promoted greatly as a result of the successful ecological protection and restoration in the Dalinor basin. The decrease in lake-areas for the DNR exhibited a negative correlation with NDVI (r = −0.397, p < 0.05 during 1976–2015. It seems that decreasing precipitation drives the reduction in lake-area, while rising temperature and vegetation greenness accelerated this decreasing trend by increasing evapotranspiration. The continuous lake shrinkage increases the ecological risks to the habitat of birds, causing a challenge to the management in the DNR.

  11. [Sociodemographic and behavioral factors associated with body adiposity in adolescents].

    Science.gov (United States)

    Bozza, Rodrigo; de Campos, Wagner; Bacil, Eliane Denise Araújo; Barbosa Filho, Valter Cordeiro; Hardt, Jennifer Morozini; da Silva, Priscila Marques

    2014-09-01

    To identify sociodemographic and behavioral factors associated with abdominal obesity (AO) and high body fat percentage (high BF%) in adolescents from the city of Curitiba-PR. The sample consisted of 1,732 adolescents, aged 11 to 19 years, of both genders. The triceps and calf skinfolds were measured for the calculation of BF%, as well as the waist circumference. A questionnaire was completed by adolescents with the following type of residence, socioeconomic status, time spent watching TV on weekdays and weekends, and daily energy expenditure. Logistic regression was used to measure the association of sociodemographic and behavioral variables with abdominal obesity and high BF%. Female were more likely to have high BF% (OR: 2.73; 95% CI: 2.32-3.33), but were less likely to have abdominal obesity (OR: 0.58; 95% CI: 0.44-0.78). Older individuals (16-19 have high BF% (OR: 1.36; 95% CI: 1.02-1.83). The older age groups (13-15 years and 16-19 years) had an inverse association with abdominal obesity. Regarding daily energy expenditure, the less active individuals were more likely to present high BF% (OR: 1.36; 95% CI: 1.07-1.71) and obesity (OR: 1.40; 95% CI: 1.09-1.80). Interventions to increase physical activity levels in young people should be designed in order to combat excess body fat should designed to combat excess adiposity. Copyright © 2014 Sociedade de Pediatria de São Paulo. Publicado por Elsevier Editora Ltda. All rights reserved.

  12. Electric drives

    CERN Document Server

    Boldea, Ion

    2005-01-01

    ENERGY CONVERSION IN ELECTRIC DRIVESElectric Drives: A DefinitionApplication Range of Electric DrivesEnergy Savings Pay Off RapidlyGlobal Energy Savings Through PEC DrivesMotor/Mechanical Load MatchMotion/Time Profile MatchLoad Dynamics and StabilityMultiquadrant OperationPerformance IndexesProblemsELECTRIC MOTORS FOR DRIVESElectric Drives: A Typical ConfigurationElectric Motors for DrivesDC Brush MotorsConventional AC MotorsPower Electronic Converter Dependent MotorsEnergy Conversion in Electric Motors/GeneratorsPOWER ELECTRONIC CONVERTERS (PECs) FOR DRIVESPower Electronic Switches (PESs)The

  13. The Organic Power Transistor: Roll-to-Roll Manufacture, Thermal Behavior, and Power Handling When Driving Printed Electronics

    DEFF Research Database (Denmark)

    Pastorelli, Francesco; Schmidt, Thomas Mikael; Hösel, Markus

    2016-01-01

    of the organic semiconductor poly-3-hexylthiophene (P3HT) and the dielectric material polyvinylphenol (PVP) before the gate (G) was applied by either screen printing or evaporation of silver. We explore the footprint and the practically accessible geometry of such devices with a special view toward being able...... to drive large currents while handling the thermal aspects in operation together with other organic printed electronics technologies such as large area organic photovoltaics (OPV)[2] and large area electrochromic displays (EC).[3] We find especially that an elevated operational temperature is beneficial...

  14. Behavior of impurity ion velocities during the pulsed poloidal current drive in the Madison symmetric torus reversed-field pinch

    International Nuclear Information System (INIS)

    Sakakita, Hajime; Craig, Darren; Anderson, Jay K.; Chapman, Brett E.; Den-Hartog, Daniel J.; Prager, Stewart C.; Biewer, Ted M.; Terry, Stephen D.

    2003-01-01

    We report on passive measurements of impurity ion velocities during the pulsed poloidal current drive (PPCD) in the Madison Symmetric Torus reversed-field pinch. During PPCD, the electron temperature increased and a sudden reduction of magnetic fluctuations was observed. For this change, we have studied whether plasma velocity is affected. Plasma rotation is observed to decrease during PPCD. From measurements of line intensities for several impurities at 10 poloidal chords, it is found that the impurity line emission shifts outward. The ion temperature of impurities is reasonably connected to that measured by charge exchange recombination spectroscopy from core to edge. (author)

  15. CONSUMER BEHAVIOR AND FACTORS INFLUENCING PURCHASE DECISION OF DURABLE GOODS

    OpenAIRE

    Dr. K. Veerakumar

    2017-01-01

    The Consumer behavior or buyer behavior has gained increased importance in a consumer oriented marketing planning and management. The study of consumer behavior is an attempt to understand what the consumer want, why they want. Consumer behavior reflects the totality of consumer’s decisions with respect to acquisition, consumption and disposition of goods, services, time and idea by human decision making. It also includes whether, why, when, where, how, how much and how often and how long con...

  16. Reflexivity as a control factor of personal coping behavior

    OpenAIRE

    BEKHTER A.A.

    2014-01-01

    The article deals with the issue of coping behavior control. The author defines the criteria, levels and aspects of reflexivity within the framework of personal coping behavior. In conclusion the author describes the key facets of coping behavior control and how reflexivity affects them.

  17. Risky Sexual Behaviors and Associated Factors among Male and ...

    African Journals Online (AJOL)

    Background: Youth engage in risk sexual behavior due to insufficient knowledge of reproductive health and family planning. Youth sexual behavior is important not only because of the possible reproductive outcomes, but also because of sexually transmitted infections. The level of risks and sexual behaviors are different ...

  18. Interplay among Drosophila transcription factors Ets21c, Fos and Ftz-F1 drives JNK-mediated tumor malignancy

    Directory of Open Access Journals (Sweden)

    Eva Külshammer

    2015-10-01

    Full Text Available Cancer initiation and maintenance of the transformed cell state depend on altered cellular signaling and aberrant activities of transcription factors (TFs that drive pathological gene expression in response to cooperating genetic lesions. Deciphering the roles of interacting TFs is therefore central to understanding carcinogenesis and for designing cancer therapies. Here, we use an unbiased genomic approach to define a TF network that triggers an abnormal gene expression program promoting malignancy of clonal tumors, generated in Drosophila imaginal disc epithelium by gain of oncogenic Ras (RasV12 and loss of the tumor suppressor Scribble (scrib1. We show that malignant transformation of the rasV12scrib1 tumors requires TFs of distinct families, namely the bZIP protein Fos, the ETS-domain factor Ets21c and the nuclear receptor Ftz-F1, all acting downstream of Jun-N-terminal kinase (JNK. Depleting any of the three TFs improves viability of tumor-bearing larvae, and this positive effect can be enhanced further by their combined removal. Although both Fos and Ftz-F1 synergistically contribute to rasV12scrib1 tumor invasiveness, only Fos is required for JNK-induced differentiation defects and Matrix metalloprotease (MMP1 upregulation. In contrast, the Fos-dimerizing partner Jun is dispensable for JNK to exert its effects in rasV12scrib1 tumors. Interestingly, Ets21c and Ftz-F1 are transcriptionally induced in these tumors in a JNK- and Fos-dependent manner, thereby demonstrating a hierarchy within the tripartite TF network, with Fos acting as the most upstream JNK effector. Of the three TFs, only Ets21c can efficiently substitute for loss of polarity and cooperate with RasV12 in inducing malignant clones that, like rasV12scrib1 tumors, invade other tissues and overexpress MMP1 and the Drosophila insulin-like peptide 8 (Dilp8. While rasV12ets21c tumors require JNK for invasiveness, the JNK activity is dispensable for their growth. In conclusion, our

  19. Trends in the breeding population and driving factors of Adélie penguin in the Ross Sea

    Science.gov (United States)

    He, H.; Li, X.; Cheng, X.

    2017-12-01

    Ross Sea regions have been characterized by high penguin-chick-rearing habitat suitability in the recent past. Many studies have been done to study the Adélie penguins in the Ross Sea. However, the data they used both had advantages and drawbacks. Besides, little quantitative analysis were carried out to study the impact factors on the penguin population change. In this study, penguin population data from MAPPPD (Mapping application for penguin populations and projected dynamics) and IBA (Important bird areas in Antarctica) were integrated and analyzed to study the distribution and trends in the breeding population of Adélie penguin over time in the Ross Sea. In addition, linear fitting method for spatial data in time series were used to study the driving factors such as 2m-temperature, sea ice cover and chlorophyll-a concentration which can quantify phytoplankton blooms. Results indicated that there were 45 Adélie penguin colonies in the Ross Sea. Cape Adare and Cape Crozier were two biggest colonies on which current Adélie penguin abundance were 428516 and 280787 breeding pairs, respectively. Among these colonies, penguin population on 28 colonies increased, on 5 colonies decreased and on 5 colonies remained no change over time, and there were also 5 new colonies and one colony which were extinct. It was found that Adélie penguin population in most of colonies in the Ross Sea increased, which meant that Adélie penguins in the Ross Sea were "climate change winners". The main reasons for the increase in Adélie penguin population in the Ross Sea might be the rise in 2m-temperature and the increase in sea ice cover and phytoplankton. Higher temperatures have resulted in glacial retreat and snow melting, which leads to an increase in available habitat for penguins. The increased sea ice and phytoplankton might positively affect the abundance of Antarctic krill that was the major prey item for Adélie penguins in Antarctic.

  20. Effect of changing driving conditions on driver behavior towards design of a safe and efficient traffic system.

    Science.gov (United States)

    2013-12-01

    This simulation-based study explores the effects of different work zone configurations, varying distances : between traffic signs, traffic density and individual differences on drivers behavior. Conventional Lane : Merge (CLM) and Joint Lane Merge...

  1. Self-reported halitosis and associated demographic and behavioral factors.

    Science.gov (United States)

    Milanesi, Fernanda Carpes; Kauer, Bruno; Wagner, Tassiane Panta; Daudt, Luciana Dondonis; Haas, Alex Nogueira

    2016-08-22

    Halitosis is still poorly studied in young adults. The aim of this study was to evaluate the occurrence of self-reported halitosis and associate it with demographic and behavioral factors in young adult dental students. This cross-sectional study was designed as a census of students enrolled in three initial and three final semesters of a dental course in a Brazilian public university. Of 284 eligible students, 257 (90.5%) completed a self-administered questionnaire. Self-reported halitosis was the primary study outcome, and was assessed with the question "do you feel you have bad breath?". Data on age, gender, frequency of tooth brushing and interproximal cleaning, tongue cleaning, mouth rinse use and dry mouth were collected using the questionnaire, and were considered independent variables. Of the students surveyed, 26.5% reported as never, 51.7% as rarely, 21.4% as sometimes, and 0.4% as always feeling they had halitosis. Morning halitosis was reported by 90.6% of those who reported halitosis. In the final multiple model, last semester students had a 55% lower chance of reporting halitosis, compared with students from the first semesters [odds ratio (OR) 0.46; 95%CI 0.24-0.89]. Women had a 2.57fold higher chance of reporting halitosis (OR = 2.57; 95%CI 1.12-5.93). Dry mouth increased the chance of self-reported halitosis 3.95-fold, compared with absence of dry mouth (OR = 3.95; 95%CI 2.03-7.68). It can be concluded that self-reports of halitosis were low among dental students, but may represent an important complaint. Gender, dry mouth and level of college education of the dentist were factors significantly associated with self-reported halitosis.

  2. Driving in mild cognitive impairment: The role of depressive symptoms.

    Science.gov (United States)

    Beratis, Ion N; Andronas, Nikos; Kontaxopoulou, Dionysia; Fragkiadaki, Stella; Pavlou, Dimosthenis; Papatriantafyllou, John; Economou, Alexandra; Yannis, George; Papageorgiou, Sokratis G

    2017-07-04

    Previous studies indicate a negative association between depression and driving fitness in the general population. Our goal was to cover a gap in the literature and to explore the link between depressive symptoms and driving behavior in individuals with mild cognitive impairment (MCI) through the use of a driving simulator experiment. Twenty-four individuals with MCI (mean age = 67.42, SD = 7.13) and 23 cognitively healthy individuals (mean age = 65.13, SD = 7.21) were introduced in the study. A valid driving license and regular car use served as main inclusion criteria. Data collection included a neurological/neuropsychological assessment and a driving simulator evaluation. Depressive symptomatology was assessed with the Patient Health Questionnaire (PHQ-9). Significant interaction effects indicating a greater negative impact of depressive symptoms in drivers with MCI than in cognitively healthy drivers were observed in the case of various driving indexes, namely, average speed, accident risk, side bar hits, headway distance, headway distance variation, and lateral position variation. The associations between depressive symptoms and driving behavior remained significant after controlling for daytime sleepiness and cognition. Depressive symptoms could be a factor explaining why certain patients with MCI present altered driving skills. Therefore, interventions for treating the depressive symptoms of individuals with MCI could prove to be beneficial regarding their driving performance.

  3. Bacterial, behavioral and environmental factors associated with early childhood caries.

    Science.gov (United States)

    Ramos-Gomez, Francisco J; Weintraub, Jane A; Gansky, Stuart A; Hoover, Charles I; Featherstone, John D B

    2002-01-01

    The goals of this cross-sectional study were to characterize and compare demographic, behavioral, and environmental factors potentially associated with early childhood caries (ECC) and to assess salivary levels of mutans streptococci (MS) and lactobacilli (LB) in underserved, predominantly Hispanic children. One hundred forty-six children aged 3 to 55 months with a range of caries experience were identified and examined. ECC was primarily associated with the presence of MS and lack of access to dental care. Salivary MS levels among young children with ECC were higher than would be expected in a dentally healthy population, but lower than levels reported among older children at high risk for caries. After adjustment for age, children with log10 MS > or = 3.0 or log10 LB > or = 1.5 were about five times as likely (OR=4.9, 95% CI=2.0, 12.0) to have ECC than those with lower bacterial levels. This study demonstrated a significant association between relatively low cariogenic bacterial levels and dental caries in infants and toddlers. Antibiotic use, exposure to lead, and anemia were not significantly associated with the number of decayed and filled surfaces or decayed and filled teeth. ECC correlated significantly with child's age and lack of dental insurance of the children, as well as inversely with both family income and the educational level of the mother of the child.

  4. Rural Veterans' dental utilization, Behavioral Risk Factor Surveillance Survey, 2014.

    Science.gov (United States)

    Wiener, R Constance; Shen, Chan; Sambamoorthi, Usha; Findley, Patricia A

    2017-09-01

    Rural residents are overrepresented in the military; however, access to Veteran services is limited in rural areas. There is a need to identify rural Veteran healthcare utilization. This study addresses that need and has two purposes: a) to determine if there is an association between rural dwelling and Veteran utilization of dental services; and b) to determine if there is an association between rural dwelling and the oral health outcome of missing teeth. Data from the 2014 Behavioral Risk Factor Surveillance Survey were used in this study. Chi square and logistic regression analyses were conducted. Rural Veterans were less likely to have a dental visit during the previous year as compared with metropolitan Veterans in unadjusted analysis (Odds ratio = 0.71, 95% Confidence Interval, 0.64, 0.77) and in adjusted analysis [0.87 (95% Confidence Interval, 0.78, 0.96)]. In cases in which all teeth were missing, rural Veterans had an unadjusted odds ratio of 1.79 [95% Confidence Interval, 1.55, 2.08] and an adjusted odds ratio of 1.37 [95% Confidence Interval, 1.17, 1.62] as compared with metropolitan Veterans. The Veterans Health Administration develops policies for establishing centers for care for Veterans. The policy development should take into consideration that rural Veterans have not been as likely as urban Veterans to utilize dental services and have poorer oral health outcomes. © 2017 American Association of Public Health Dentistry.

  5. Risk behaviors for eating disorder: factors associated in adolescent students

    Directory of Open Access Journals (Sweden)

    Leonardo de Sousa Fortes

    2013-12-01

    Full Text Available INTRODUCTION: Evidence shows that the prevalence of risk behaviors for eating disorders (RBED among young people has increased in recent years. Body dissatisfaction, excessive exercise, body composition, economic status, and ethnicity may be risk factors for RBED. OBJECTIVE: To evaluate the association of body dissatisfaction, psychological commitment to exercise, body fat, nutritional status, economic class, and ethnicity with RBED in adolescents. METHOD: This study included 562 boys and girls aged 10 to 15 years. We used the Eating Attitudes Test (EAT-26 to assess RBED. The Body Shape Questionnaire (BSQ and the Commitment to Exercise Scale (CES were used to measure body dissatisfaction and commitment to exercise, respectively. Skin fold thickness was measured to classify body fat according to sex. Weight and height were measured to calculate the body mass index (BMI and classify participants according to nutritional status. The economic class was recorded according to the Brazilian Economic Classification Criterion. A questionnaire was used to record ethnicity, age and sex. Binary logistic regression was used to determine associations between variables. RESULTS: The results showed an association of RBED with body dissatisfaction, CES scores, and economic class among girls (p < 0.05. Among boys, body dissatisfaction, body fat, and nutritional status were associated with RBED (p < 0.05. CONCLUSION: Even though body dissatisfaction had the highest odds ratio, other variables were also associated with RBED.

  6. Driving: a road to unhealthy lifestyles and poor health outcomes.

    Directory of Open Access Journals (Sweden)

    Ding Ding

    Full Text Available BACKGROUND: Driving is a common part of modern society, but its potential effects on health are not well understood. PURPOSE: The present cross-sectional study (n = 37,570 examined the associations of driving time with a series of health behaviors and outcomes in a large population sample of middle-aged and older adults using data from the Social, Economic, and Environmental Factor Study conducted in New South Wales, Australia, in 2010. METHODS: Multiple logistic regression was used in 2013 to examine the associations of usual daily driving time with health-related behaviors (smoking, alcohol use, diet, physical activity, sedentary behavior, sleep and outcomes (obesity, general health, quality of life, psychological distress, time stress, social functioning, adjusted for socio-demographic characteristics. RESULTS: Findings suggested that longer driving time was associated with higher odds for smoking, insufficient physical activity, short sleep, obesity, and worse physical and mental health. The associations consistently showed a dose-response pattern and more than 120 minutes of driving per day had the strongest and most consistent associations with the majority of outcomes. CONCLUSION: This study highlights driving as a potential lifestyle risk factor for public health. More population-level multidisciplinary research is needed to understand the mechanism of how driving affects health.

  7. Predictive Factors of Aggressive Behaviors in Guidance and High School Male Students, Based on the Theory of Planned Behavior

    Directory of Open Access Journals (Sweden)

    Kiyvan Alimoradi

    2016-04-01

    Full Text Available Background: According to World Health Organization, aggression is one of the most serious problems in nations’ general health. The current study was aimed to investigate the predictive factors of aggressive behaviors in guidance and high school male students, based on the Theory of Planned Behavior. Material and Methods: A total of 457 guidance and high school male students from Sanandaj city were randomly selected. They were asked to complete a questionnaire included questions about attitude, subjective norms, perceived behavioral control, intention, and aggressive behavior. The questionnaire was validated by the researcher, beforehand. Pearson correlation coefficient and Linear and Ordinal Multivariate Regression was used to investigate the predictability of the constructs of the theory for intention and behavior. Results: The participants’ age range was from 12 to 17 year (mean, 14.70. %35.5 of the participants reported no physical aggression and %26.9 of them reported no verbal aggression during the last month. Linear regression showed that the theory components, all together, could predict %50.2 of the intended physical aggressive behavior, and %73.3 of the intended verbal aggressive behavior. Moreover, the perceived behavior control was the most predictive construct for intended aggression. The results, also, revealed that the theory components, all together, could predict %36.3 of the verbal aggressive behavior, and %21.1 of the physical aggressive behavior. The results, also showed that, intended behavior was the most predictive construct for the verbal aggressive behavior, and that perceived behavior control was the most predictive construct for physical aggression. Conclusion: As, during physical aggression, people feel less control on their behavior; and their verbal aggression is affected by their attitudes, paying attention to these constructs could result into decreasing adolescents’ aggression. In other words, taking part in

  8. Role of genetic factors in human sexual behavior based on studies of Tourette syndrome and ADHD probands and their relatives.

    Science.gov (United States)

    Comings, D E

    1994-09-15

    Most significant variations in the expression of human sexuality are considered to be the result of learned behavior or psychological problems. Tourette syndrome (TS) is a common, hereditary tic and disinhibition disorder sometimes associated with compulsive use of obscene words (coprolalia) and previously reported to be occasionally associated with exhibitionism. To further explore the relationship between the Gts genes and sexual behavior, questions concerning a wide range of such behaviors were administered to 1,040 subjects, 14 years of age or older, consisting of 358 TS probands, 101 non-proband relatives with TS, 359 non-TS first degree relatives, 79 attention deficit hyperactivity disorder (ADHD) probands, 70 unaffected relatives of the ADHD probands, and 73 controls. The behaviors included magnitude of sex drive, sex orientation, exhibitionism, transvestitism, transsexualism, sadism, masochism, pedophilia, fetishism, aversion to being touched, and aversion to sex. While most of these behaviors occurred in a distinct minority of TS subjects, there was a significant positive correlation between each behavior examined and the degree of genetic loading for the Gts gene(s). The nature of these behaviors and their association with TS suggests many are variants of obsessive-compulsive disorder. Studies in animals indicate that changes in serotonin and dopamine play a significant role in the sexual behavior and many lines of evidence are consistent with the hypothesis that TS is due to genetic changes in serotonin and dopamine metabolism. These studies suggest that genetic factors play a much greater role in a wide range of forms of sexual expression than previously thought.

  9. Risk-Taking Behavior in a Computerized Driving Task: Brain Activation Correlates of Decision-Making, Outcome, and Peer Influence in Male Adolescents.

    Directory of Open Access Journals (Sweden)

    Victor Vorobyev

    Full Text Available Increased propensity for risky behavior in adolescents, particularly in peer groups, is thought to reflect maturational imbalance between reward processing and cognitive control systems that affect decision-making. We used functional magnetic resonance imaging (fMRI to investigate brain functional correlates of risk-taking behavior and effects of peer influence in 18-19-year-old male adolescents. The subjects were divided into low and high risk-taking groups using either personality tests or risk-taking rates in a simulated driving task. The fMRI data were analyzed for decision-making (whether to take a risk at intersections and outcome (pass or crash phases, and for the influence of peer competition. Personality test-based groups showed no difference in the amount of risk-taking (similarly increased during peer competition and brain activation. When groups were defined by actual task performance, risk-taking activated two areas in the left medial prefrontal cortex (PFC significantly more in low than in high risk-takers. In the entire sample, risky decision-specific activation was found in the anterior and dorsal cingulate, superior parietal cortex, basal ganglia (including the nucleus accumbens, midbrain, thalamus, and hypothalamus. Peer competition increased outcome-related activation in the right caudate head and cerebellar vermis in the entire sample. Our results suggest that the activation of the medial (rather than lateral PFC and striatum is most specific to risk-taking behavior of male adolescents in a simulated driving situation, and reflect a stronger conflict and thus increased cognitive effort to take risks in low risk-takers, and reward anticipation for risky decisions, respectively. The activation of the caudate nucleus, particularly for the positive outcome (pass during peer competition, further suggests enhanced reward processing of risk-taking under peer influence.

  10. Risk-Taking Behavior in a Computerized Driving Task: Brain Activation Correlates of Decision-Making, Outcome, and Peer Influence in Male Adolescents.

    Science.gov (United States)

    Vorobyev, Victor; Kwon, Myoung Soo; Moe, Dagfinn; Parkkola, Riitta; Hämäläinen, Heikki

    2015-01-01

    Increased propensity for risky behavior in adolescents, particularly in peer groups, is thought to reflect maturational imbalance between reward processing and cognitive control systems that affect decision-making. We used functional magnetic resonance imaging (fMRI) to investigate brain functional correlates of risk-taking behavior and effects of peer influence in 18-19-year-old male adolescents. The subjects were divided into low and high risk-taking groups using either personality tests or risk-taking rates in a simulated driving task. The fMRI data were analyzed for decision-making (whether to take a risk at intersections) and outcome (pass or crash) phases, and for the influence of peer competition. Personality test-based groups showed no difference in the amount of risk-taking (similarly increased during peer competition) and brain activation. When groups were defined by actual task performance, risk-taking activated two areas in the left medial prefrontal cortex (PFC) significantly more in low than in high risk-takers. In the entire sample, risky decision-specific activation was found in the anterior and dorsal cingulate, superior parietal cortex, basal ganglia (including the nucleus accumbens), midbrain, thalamus, and hypothalamus. Peer competition increased outcome-related activation in the right caudate head and cerebellar vermis in the entire sample. Our results suggest that the activation of the medial (rather than lateral) PFC and striatum is most specific to risk-taking behavior of male adolescents in a simulated driving situation, and reflect a stronger conflict and thus increased cognitive effort to take risks in low risk-takers, and reward anticipation for risky decisions, respectively. The activation of the caudate nucleus, particularly for the positive outcome (pass) during peer competition, further suggests enhanced reward processing of risk-taking under peer influence.

  11. Neurobiological factors as predictors of cognitive-behavioral therapy outcome in individuals with antisocial behavior: a review of the literature

    NARCIS (Netherlands)

    Cornet, L.J.M.; de Kogel, C.H.; Nijman, H.I.; Raine, A.; van der Laan, P.H.

    2013-01-01

    This review focuses on the predictive value of neurobiological factors in relation to cognitive-behavioral therapy outcome among individuals with antisocial behavior. Ten relevant studies were found. Although the literature on this topic is scarce and diverse, it appears that specific

  12. Characterizing water and CO2 fluxes and their driving impact factors by using a hierarchical diagnostic geophysical monitoring concept

    Science.gov (United States)

    Sauer, Uta; Schütze, Claudia; Dietrich, Peter

    2013-04-01

    Processes in soil, plants and near surface atmosphere interact with each other in a complex way. Soil is an environmental component and important part of our ecosystems. Parent material of soils determines the original supply of nutrients. However, environmental parameters such as meteorological and land use have also an influence to the soil conditions. The objective of our research work is the development of a hierarchical diagnostic monitoring concept for the characterization of water and CO2 fluxes and their driving impact factors to provide information on structures and fluxes in the soil-vegetation- atmosphere system. As part of this hierarchical diagnostic monitoring concept, several methods and technologies from different disciplines (such as chemistry, hydrogeology, and geophysics) will either be combined or used complementary to one another. Our approach will allow large spatial areas to be consistently covered, for efficient monitoring of increases in spatial and temporal resolutions. Firstly, remote sensing monitoring methods for large-scale application (more than 1km2) are used to obtain information about energy and matter fluxes in the atmosphere. A common spectroscopic method for analysis is FTIR spectroscopy, where chemical anorganic and organic compounds can be detected through their characteristic infra-red absorption frequencies or wavelengths. Open-path Fourier transform infrared (OP FTIR) spectrometry is a sensitive and non-invasive method to detect and quantify a wide range of gases simultaneously. Subsequently, meso-scale methods (0.01-1km2) can be employed which investigate subsurface characteristics to describe geological and soil structures and dynamics. Various soil parameters can be mapped using rapid, nearly non-destructive methods (e.g. geophysics, spectroscopy), for quasi-continuous 2D as well as 3D mapping of soil physical and hydrological properties. Finally, point measurements at plot scale (less than 0.01km2) enable high

  13. The Comparison and Modeling of the Driving Factors of Urban Expansion for Thirty-Five Big Cities in the Three Regions in China

    OpenAIRE

    Guangjin, Tian; Xinliang, Xu; Xiaojuan, Liu; Lingqiang, Kong

    2016-01-01

    This paper presents a national- and regional-scale urban growth model (NRUGM) of China based on panel data analysis. Through the panel analysis, population growth, road construction, salary increment per capita, and secondary industry product increment were proven to be the major driving factors for national-scale urban expansion. According to Seventh Five-Year Plan, China had been divided into three regions, Eastern China, Middle China, and Western China, by their geographic position and eco...

  14. A Review of Electronic Inductor Technique for Power Factor Correction in Three-Phase Adjustable Speed Drives

    DEFF Research Database (Denmark)

    Davari, Pooya; Yang, Yongheng; Zare, Firuz

    2016-01-01

    Electronic Inductor (EI) techniques are promising approaches for improving the grid-side current quality, and they are suitable for motor drive applications. In this paper, different EI topologies are investigated from the efficiency perspective, including the effect of employing Silicon Carbide...

  15. Self-Determination Theory and Risk Behavior in a Collectivistic Society: Preventing Reckless Driving in Urban Nepal.

    Science.gov (United States)

    Ranjit, Yerina S; Snyder, Leslie B; Hamilton, Mark A; Rimal, Rajiv N

    2017-08-01

    Traffic road accidents are one of the leading causes of mortality in Nepal and around the world. Drivers in Nepal are not adequately educated about road safety rules. Road conditions are chaotic as traffic regulations are also not strictly enforced. Public safety campaigns may be able to alter drivers' attitudes and behaviors; however, little is known about which persuasive strategies may be most effective. Drawing on self-determination theory and the Health Belief Model, the current study used a post-only experimental design to test the impact of a short video message. The video included collective vs. individual appeals, and messages emphasizing one's ability to make the right choice (autonomy support) vs. directive language. Participants were Nepali college students (mean age 20, N = 199). Using structural equation modeling, the study found that directive messages rather than autonomy support influenced an individual seeing value in the recommended behavior (identified regulation), which in turn influenced perceived susceptibility, perceived severity, and behavioral intention. The study also proposed a behavior change model by incorporating the stage of identification with the message upon exposure. This model aims to expand the model proposed by the Health Belief Model, to include a stage of value identification before cues to action influence perception of threat. Further implications are discussed.

  16. Risk Factors for Youth E-Cigarette "Vape Trick" Behavior.

    Science.gov (United States)

    Pepper, Jessica K; Lee, Youn Ok; Watson, Kimberly A; Kim, Annice E; Nonnemaker, James M; Farrelly, Matthew C

    2017-11-01

    Some adolescent users of e-cigarettes and other electronic vaping products (EVPs) report performing "vape tricks" (exhaling aerosol to make shapes). However, little is known about this behavior. We examined the frequency of performing and watching vape tricks and the characteristics of those most likely to perform vape tricks among a sample of adolescent EVP users. We used social media ads to recruit a national convenience sample of U.S. adolescents (n = 1,729) to participate in an online survey in September 2016. Inclusion criteria required participants to be aged 15-17 years and to have used EVPs at least once in the past 30 days. The majority of EVP-using adolescents reported trying (77.8%) and watching vape tricks in person (83.7%) or online (74.0%). Risk factors for performing tricks included using advanced vaping devices, vaping every day, white race, moderate levels of seeing and sharing vaping information on social media, and believing that EVP use is more normative among peers. Likelihood of trying vape tricks decreased as beliefs about the harmfulness of EVPs increased. Vape tricks pose a potential threat to adolescent health if they encourage nonusers to initiate or current EVP users to use more frequently or switch to advanced devices that produce more harmful chemical emissions. Further research should examine the possible health effects of performing vape tricks, and future public health campaigns should be informed by an understanding of the appeal of this activity for adolescents. Copyright © 2017 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  17. Neurobiological factors as predictors of cognitive-behavioral therapy outcome in individuals with antisocial behavior: a review of the literature.

    Science.gov (United States)

    Cornet, Liza J M; de Kogel, Catharina H; Nijman, Henk L I; Raine, Adrian; van der Laan, Peter H

    2014-11-01

    This review focuses on the predictive value of neurobiological factors in relation to cognitive-behavioral therapy outcome among individuals with antisocial behavior. Ten relevant studies were found. Although the literature on this topic is scarce and diverse, it appears that specific neurobiological characteristics, such as physiological arousal levels, can predict treatment outcome. The predictive value of neurobiological factors is important as it could give more insight into the causes of variability in treatment outcome among individuals with antisocial behavior. Furthermore, results can contribute to improvement in current treatment selection procedures and to the development of alternative treatment options. © The Author(s) 2013.

  18. Climatic and weather factors affecting fire occurrence and behavior

    Science.gov (United States)

    Randall P. Benson; John O. Roads; David R. Weise

    2009-01-01

    Weather and climate have a profound influence on wildland fire ignition potential, fire behavior, and fire severity. Local weather and climate are affected by large-scale patterns of winds over the hemispheres that predispose wildland fuels to fire. The characteristics of wildland fuels, especially the moisture content, ultimately determine fire behavior and the impact...

  19. Predictors of Behavior Factors of High School Students against Recycling

    Science.gov (United States)

    Cimen, Osman; Yilmaz, Mehmet

    2016-01-01

    This study aims to determine the variables that predict high school students' recycling behaviors. The study was designed as survey model. The study's sample consists of 203 students at a high school in Ankara. A recycling behavior scale developed by the researchers was used as a data collection tool. The scale has 3 dimensions: recycling…

  20. [Health knowledge, health promoting behavior and factors influencing health promoting behavior of north korean defectors in South Korea].

    Science.gov (United States)

    Choe, Myoung Ae; Yi, Myungsun; Choi, Jung An; Shin, Gisoo

    2012-10-01

    The purpose of this study was to identify health knowledge, health promoting behavior and factors influencing health promoting behavior of North Korean defectors in South Korea. Participants in this study were 410 North Korean defectors, over 20 years of age residing in Seoul. They were recruited by snowball sampling. Data were collected from April to June, 2010. Health knowledge, health promoting behavior, self-efficacy, perceived barriers to health promoting behavior and social support were measured by structured questionnaires, and perceived physical and mental health status were measured by one item with 10-point numeric rating scale. The data were analyzed using t-test, ANOVA, and multiple regression. Health knowledge, health promoting behavior, and perceived barriers to health promoting behavior were moderate while self-efficacy and social support were high. Factors influencing health promoting behavior of the participants were found to be self-efficacy, social support and perceived barrier to health promoting behavior. The results of this study indicate that nursing intervention programs enhancing self-efficacy, social support and reducing perceived barriers to health promoting behavior need to be developed for North Korean defectors in South Korea.

  1. Temporal alcohol availability predicts first-time drunk driving, but not repeat offending.

    Science.gov (United States)

    Schofield, Timothy P; Denson, Thomas F

    2013-01-01

    Alcohol availability has been linked to drunk driving, but research has not examined whether this relationship is the same for first-time and repeat offenses. We examined the relationship between the business hours of alcohol outlets licensed to serve alcohol for on-premises consumption and misdemeanor-level (first offense) and felony-level drunk driving (repeat offense) charges in New York State in 2009. Longer outlet business hours were associated with more misdemeanor drunk driving charges, but were not associated with felony drunk driving charges. The per capita density of on-premises alcohol outlets did not affect misdemeanor or felony drunk driving charges. The results suggest that temporal alcohol availability may be an impelling factor for first-time drunk driving, but other factors likely influence repeat drunk driving behaviors.

  2. Temporal alcohol availability predicts first-time drunk driving, but not repeat offending.

    Directory of Open Access Journals (Sweden)

    Timothy P Schofield

    Full Text Available Alcohol availability has been linked to drunk driving, but research has not examined whether this relationship is the same for first-time and repeat offenses. We examined the relationship between the business hours of alcohol outlets licensed to serve alcohol for on-premises consumption and misdemeanor-level (first offense and felony-level drunk driving (repeat offense charges in New York State in 2009. Longer outlet business hours were associated with more misdemeanor drunk driving charges, but were not associated with felony drunk driving charges. The per capita density of on-premises alcohol outlets did not affect misdemeanor or felony drunk driving charges. The results suggest that temporal alcohol availability may be an impelling factor for first-time drunk driving, but other factors likely influence repeat drunk driving behaviors.

  3. IPM Motor Drive Method Using a New Inverter Having the Operation of High Power Factor Single-phase Diode Rectifier without Electrolytic Capacitor

    Science.gov (United States)

    Haga, Hitoshi; Takahashi, Isao; Ohishi, Kiyoshi

    This paper proposes a new inverter drive system for an interior permanent magnet (IPM) synchronous motor and an inverter control strategy to obtain the unity power factor operation of the single-phase diode rectifier. The motor drive system for home appliances requires improving the input power factor without a reactor, an electrolytic capacitor and a switching device. This paper can achieve to improve the input power factor without a reactor, a current control-switching converter and an electrolytic capacitor. The proposed system consists of only single-phase diode rectifier, small film capacitor (10uF/kW) across the dc-bus, three-phase inverter and IPM motor. Source side energy provides directly to the motor without smoothing the dc-bus voltage. There are many ripple voltages across the dc-bus. A principle of unity-power-factor operation is that the inverter makes the waveform of input current sinusoidal. The unity power factor operation is achieved by dither effect. For IPM motor, the inverter control scheme in this paper is based on direct torque control (DTC). The proposed system is constructed by the input current controller based on DTC. The additional current controller improves its input current waveform. This paper describes that the proposed method achieves the power factor 98.8% by experimental tests.

  4. Critical behavior within 20 fs drives the out-of-equilibrium laser-induced magnetic phase transition in nickel.

    Science.gov (United States)

    Tengdin, Phoebe; You, Wenjing; Chen, Cong; Shi, Xun; Zusin, Dmitriy; Zhang, Yingchao; Gentry, Christian; Blonsky, Adam; Keller, Mark; Oppeneer, Peter M; Kapteyn, Henry C; Tao, Zhensheng; Murnane, Margaret M

    2018-03-01

    It has long been known that ferromagnets undergo a phase transition from ferromagnetic to paramagnetic at the Curie temperature, associated with critical phenomena such as a divergence in the heat capacity. A ferromagnet can also be transiently demagnetized by heating it with an ultrafast laser pulse. However, to date, the connection between out-of-equilibrium and equilibrium phase transitions, or how fast the out-of-equilibrium phase transitions can proceed, was not known. By combining time- and angle-resolved photoemission with time-resolved transverse magneto-optical Kerr spectroscopies, we show that the same critical behavior also governs the ultrafast magnetic phase transition in nickel. This is evidenced by several observations. First, we observe a divergence of the transient heat capacity of the electron spin system preceding material demagnetization. Second, when the electron temperature is transiently driven above the Curie temperature, we observe an extremely rapid change in the material response: The spin system absorbs sufficient energy within the first 20 fs to subsequently proceed through the phase transition, whereas demagnetization and the collapse of the exchange splitting occur on much longer, fluence-independent time scales of ~176 fs. Third, we find that the transient electron temperature alone dictates the magnetic response. Our results are important because they connect the out-of-equilibrium material behavior to the strongly coupled equilibrium behavior and uncover a new time scale in the process of ultrafast demagnetization.

  5. Repressive coping among British college women: A potential protective factor against body image concerns, drive for thinness, and bulimia symptoms.

    Science.gov (United States)

    Mohiyeddini, Changiz

    2017-09-01

    Repressive coping, as a means of preserving a positive self-image, has been widely explored in the context of dealing with self-evaluative cues. The current study extends this research by exploring whether repressive coping is associated with lower levels of body image concerns, drive for thinness, bulimic symptoms, and higher positive rational acceptance. A sample of 229 female college students was recruited in South London. Repressive coping was measured via the interaction between trait anxiety and defensiveness. The results of moderated regression analysis with simple slope analysis show that compared to non-repressors, repressors reported lower levels of body image concerns, drive for thinness, and bulimic symptoms while exhibiting a higher use of positive rational acceptance. These findings, in line with previous evidence, suggest that repressive coping may be adaptive particularly in the context of body image. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Exploring Family Factors and Sexual Behaviors in a Group of Black and Hispanic Adolescent Males.

    Science.gov (United States)

    Rucibwa, Naphtal Kaberege; Modeste, Naomi; Montgomery, Susan; Fox, Curtis A.

    2003-01-01

    Examined family factors influencing sexual behavior among black and Hispanic adolescent males from San Bernardino County, California's 1996 Youth Survey. Family structure, parent sexual behaviors, and peer sexual norms closely associated with adolescent sexual attitudes and behaviors. Having a sibling who was a teen parent significantly associated…

  7. Factors Influencing Team Behaviors in Surgery: A Qualitative Study to Inform Teamwork Interventions.

    Science.gov (United States)

    Aveling, Emma-Louise; Stone, Juliana; Sundt, Thoralf; Wright, Cameron; Gino, Francesca; Singer, Sara

    2018-02-07

    Surgical excellence demands teamwork. Poor team behaviors negatively affect team performance and are associated with adverse events and worse outcomes. Interventions to improve surgical teamwork focusing on frontline team members' nontechnical skills have proliferated but shown mixed results. Literature on teamwork in organizations suggests that team behaviors are also contingent on psycho-social, cultural and organizational factors. This study examines factors influencing surgical team behaviors in order to inform more contextually sensitive and effective approaches to optimizing surgical teamwork. Qualitative study of cardiac surgical teams in a large US teaching hospital included 34 semi-structured interviews. Thematic network analysis was used to examine perceptions of ideal teamwork and factors influencing team behaviors in the OR. Perceptions of ideal teamwork were largely shared, but team members held discrepant views of which team and leadership behaviors enhanced or undermined teamwork. Other factors impacting team behaviors related to: local organizational culture, including management of staff behavior; variable case demands and team members' technical competence; fitness of organizational structures and processes to support teamwork. These factors affected perceptions of what constituted optimal interpersonal and team behaviors in the OR. Team behaviors are contextually contingent and organizationally determined, and beliefs about optimal behaviors are not necessarily shared. Interventions to optimize surgical teamwork requires establishing consensus regarding best practice, ability to adapt as circumstances require, and organizational commitment to addressing contextual factors that impact teams. Copyright © 2018 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  8. Thrill and adventure seeking in risky driving at work: The moderating role of safety climate.

    Science.gov (United States)

    Wishart, Darren; Somoray, Klaire; Evenhuis, Amanda

    2017-12-01

    Introduction Within many industrialized countries, the leading cause of worker fatalities and serious injuries can be attributed to road trauma. In non-occupational research, high levels of sensation seeking personality, and specifically thrill and adventure seeking, have been associated with risky driving behaviors. In work driving literature, high organizational safety climate has been associated with reduced risky driving in work drivers. However, the extent that factors such as safety climate and thrill seeking interact in regard to work driving safety remains unclear, and the current research examined this interaction. Methods A total of 1,011 work drivers from four organizations participated in the research. Surveys were distributed online and hardcopies were sent via mail. The survey included measures of thrill and adventure seeking, safety climate and work-related driving behaviors, as well as questions relating to participant demographics and information about their work driving. Results The results demonstrated that safety climate significantly moderated the effect of thrill and adventure seeking trait on driving errors, driving violations, and driving while fatigued. Conclusion These results suggest that the development of a strong safety climate has the potential to improve work driving safety outcomes by reducing the impact of particular personality traits such as thrill seeking within an organizational context. Practical application To improve work driving safety, organizations and management need to develop strategies to encourage and foster positive work driving safety climate, particularly within work settings that may attract thrill and adventure seeking employees. Copyright © 2017. Published by Elsevier Ltd.

  9. Sexual Behaviors in Male Sex Workers in Spain: Modulating Factors

    OpenAIRE

    Ballester Arnal, Rafael; Salmerón Sánchez, Pedro; Gil Llario, María Dolores; Giménez García, Cristina

    2013-01-01

    This study analyzed how the culture of origin, educational level, sexual orientation, and experience of male sex workers may mediate their commercial sexual behaviors. A total of 100 Spanish agency male sex workers were interviewed. Most of them were young men, Latin American, homosexual, and had middle-level education. Our results showed that cultural differences and sexual orientation could influence male sex workers when engaging in sexual behaviors with their clients. Social and health pr...

  10. Comportamentos no trânsito: um estudo epidemiológico com estudantes universitários Driving-related behavior: an epidemiologic study of undergraduate students

    Directory of Open Access Journals (Sweden)

    Leticia Marín-León

    2003-04-01

    Full Text Available Com o objetivo de descrever os comportamentos auto-referidos no trânsito e comparar a freqüência de comportamentos de risco entre condutores com e sem história de acidentes de trânsito (AT, foi realizado um estudo transversal com 2.116 estudantes de 18 a 25 anos, de uma universidade pública do Brasil. Para observar quais as variáveis independentes que se associam ao antecedente de AT como condutor de carro, foram calculadas: freqüências, chi2, p, odds ratio e intervalo de confiança de 95%. O sexo masculino foi analisado mediante modelo de Regressão Logística. Observou-se maior risco de AT no sexo masculino. Os condutores com maior freqüência de comportamentos inseguros para o trânsito apresentaram maior risco de AT. No sexo masculino as variáveis comportamentais associadas a AT foram "ter sido multado", "dirigir pelo acostamento" e "dirigir logo após consumir álcool". Também foi observado que os jovens tendem a não reconhecer sua responsabilidade nos AT. São necessárias intervenções dirigidas aos estudantes, devendo priorizar os homens, especialmente os de renda elevada.The purpose of this article was to describe self-reported