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Sample records for modeling factors influencing

  1. Modeling Factors with Influence on Sustainable University Management

    Directory of Open Access Journals (Sweden)

    Oana Dumitrascu

    2015-01-01

    Full Text Available The main objective of this paper is to present the factors with influence on the sustainable university management and the relationships between them. In the scientific approach we begin from a graphical model, according to which the extracurricular activities together with internal environmental factors influence students’ involvement in such activities, the university attractiveness, their academic performance and their integration into the socially-economic and natural environment (components related with sustainable development. The model emphasizes that individual performances, related to students’ participation in extracurricular activities, have a positive influence on the sustainability of university management. The results of the study have shown that the university sustainability may be influenced by a number of factors, such as students’ performance, students’ involvement in extracurricular activities or university’s attractiveness and can in turn influence implicitly also the sustainability of university management. The originality of the paper consists in the relationships study using the modeling method in general and informatics tools of modeling in particular, as well as through graphical visualization of some influences, on the sustainability university management.

  2. Research of Adsorption on PCBs: Isotherm Modeling and Influencing Factors

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    Liang Peiyu

    2016-01-01

    Full Text Available PCBs are a group of persistent organic pollutants (POPs in the environment. Adsorption behavior of PCBs has obtained great attention affecting the degradation, mobility activities. In this paper, adsorption process was studied systematically to figure out the model of adsorption, adsorption mechanism and the influencing factors, which will provides the theoretical basis for further research.

  3. A Path Model of Psychosocial Factors Influencing Quality, Quality ...

    African Journals Online (AJOL)

    This study adopted the survey research design using an ex-post facto type to investigate path modeling of psychosocial factors influencing quality marital relationship among married individuals in Southwest Nigeria. The target population ... Three research questions were answered using path analysis. The result showed ...

  4. Research of Adsorption on PCBs: Isotherm Modeling and Influencing Factors

    OpenAIRE

    Liang Peiyu; Xing Luping; Xuan Hui; Xue Wen

    2016-01-01

    PCBs are a group of persistent organic pollutants (POPs) in the environment. Adsorption behavior of PCBs has obtained great attention affecting the degradation, mobility activities. In this paper, adsorption process was studied systematically to figure out the model of adsorption, adsorption mechanism and the influencing factors, which will provides the theoretical basis for further research.

  5. Consumer's Online Shopping Influence Factors and Decision-Making Model

    Science.gov (United States)

    Yan, Xiangbin; Dai, Shiliang

    Previous research on online consumer behavior has mostly been confined to the perceived risk which is used to explain those barriers for purchasing online. However, perceived benefit is another important factor which influences consumers’ decision when shopping online. As a result, an integrated consumer online shopping decision-making model is developed which contains three elements—Consumer, Product, and Web Site. This model proposed relative factors which influence the consumers’ intention during the online shopping progress, and divided them into two different dimensions—mentally level and material level. We tested those factors with surveys, from both online volunteers and offline paper surveys with more than 200 samples. With the help of SEM, the experimental results show that the proposed model and method can be used to analyze consumer’s online shopping decision-making process effectively.

  6. Modeling wilderness campsites: Factors that influence amount of impact

    Science.gov (United States)

    David N. Cole

    1991-01-01

    A standard campsite model is proposed and then manipulated to examine the influence of individual variables on amount of vegetation loss. Amount of impact is influenced by amount of use, vegetation fragility, vegetation density, and the degree to which activities are concentrated spatially on the site. Degree of concentration also influences the importance of the other...

  7. Assessment of factors influencing finite element vertebral model predictions.

    Science.gov (United States)

    Jones, Alison C; Wilcox, Ruth K

    2007-12-01

    vertebral response. At present, an element size of 2x2x2 mm(3) appears sufficient since the error at this size is dominated by factors, such as the load position, which will not be improved by increasing the mesh resolution. Higher resolution meshes may be appropriate in the future as models are made more sophisticated and computational processing time is reduced.

  8. Influencing Factors and Simplified Model of Film Hole Irrigation

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    Yi-Bo Li

    2017-07-01

    Full Text Available Film hole irrigation is an advanced low-cost and high-efficiency irrigation method, which can improve water conservation and water use efficiency. Given its various advantages and potential applications, we conducted a laboratory study to investigate the effects of soil texture, bulk density, initial soil moisture, irrigation depth, opening ratio (ρ, film hole diameter (D, and spacing on cumulative infiltration using SWMS-2D. We then proposed a simplified model based on the Kostiakov model for infiltration estimation. Error analyses indicated SWMS-2D to be suitable for infiltration simulation of film hole irrigation. Additional SWMS-2D-based investigations indicated that, for a certain soil, initial soil moisture and irrigation depth had the weakest effects on cumulative infiltration, whereas ρ and D had the strongest effects on cumulative infiltration. A simplified model with ρ and D was further established, and its use was then expanded to different soils. Verification based on seven soil types indicated that the established simplified double-factor model effectively estimates cumulative infiltration for film hole irrigation, with a small mean average error of 0.141–2.299 mm, a root mean square error of 0.177–2.722 mm, a percent bias of −2.131–1.479%, and a large Nash–Sutcliffe coefficient that is close to 1.0.

  9. Logistic regression models of factors influencing the location of bioenergy and biofuels plants

    Science.gov (United States)

    T.M. Young; R.L. Zaretzki; J.H. Perdue; F.M. Guess; X. Liu

    2011-01-01

    Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and traditional wood-using facilities. Logistic models provided quantitative insight for variables influencing the location of woody biomass-using facilities. Availability of "thinnings to a basal area of 31.7m2/ha...

  10. The Influence Factor Model for the Popularity of Mobile Phone without Considering the Price Factor

    Science.gov (United States)

    Long, Hongming; Peng, Diefei; Wu, Hailin; Yang, Zihui

    2018-01-01

    Based on the statistical data like economic development, social development, population indicator and so on, this paper establishes the linear regression model which influences the popularity rate of mobile phone users.

  11. Analysis on influencing factors of clinical teachers’ job satisfaction by structural equation model

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    Haiyi Jia

    2017-02-01

    Full Text Available [Research objective] Analyze the influencing factors of clinical teachers’ job satisfaction. [Research method] The ERG theory was used as the framework to design the questionnaires. Data were analyzed by structural equation model for investigating the influencing factors. [Research result] The modified model shows that factors of existence needs and growth needs have direct influence on the job satisfaction of clinical teachers, the influence coefficients are 0.540 and 0.380. The three influencing factors have positive effects on each other, and the correlation coefficients are 0.620, 0.400 and 0.330 respectively. [Research conclusion] Relevant departments should take active measures to improve job satisfaction of clinical teachers from two aspects: existence needs and growth needs, and to improve their work enthusiasm and teaching quality.

  12. Structural equation model to investigate the factors influencing ...

    Indian Academy of Sciences (India)

    R2 value of each latent endogenous construct as shown in figure 3 is greater than 0.4 and the values are considered to be moderate. 4.4d Effect size f2: The effect size is the measure of impact of each predictor construct on the dependant construct. In the PLS path model, when an independent construct is omitted from the.

  13. Selection of asset investment models by hospitals: examination of influencing factors, using Switzerland as an example.

    Science.gov (United States)

    Eicher, Bernhard

    2016-10-01

    Hospitals are responsible for a remarkable part of the annual increase in healthcare expenditure. This article examines one of the major cost drivers, the expenditure for investment in hospital assets. The study, conducted in Switzerland, identifies factors that influence hospitals' investment decisions. A suggestion on how to categorize asset investment models is presented based on the life cycle of an asset, and its influencing factors defined based on transaction cost economics. The influence of five factors (human asset specificity, physical asset specificity, uncertainty, bargaining power, and privacy of ownership) on the selection of an asset investment model is examined using a two-step fuzzy-set Qualitative Comparative Analysis. The research shows that outsourcing-oriented asset investment models are particularly favored in the presence of two combinations of influencing factors: First, if technological uncertainty is high and both human asset specificity and bargaining power of a hospital are low. Second, if assets are very specific, technological uncertainty is high and there is a private hospital with low bargaining power, outsourcing-oriented asset investment models are favored too. Using Qualitative Comparative Analysis, it can be demonstrated that investment decisions of hospitals do not depend on isolated influencing factors but on a combination of factors. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  14. Antecedents Factors that Influence Soy Consumption: A Structural Equation Modeling Approach

    OpenAIRE

    Balasubramanian, Siva K.; Moon, Wanki; Rimal, Arbindra; Coker, Kesha

    2009-01-01

    We propose a structural model of antecedent factors that affect the frequency of soy consumption. This model, suggests that soy-general knowledge influences perceptions about nutrition concern, health benefits of soy, soy related personal beliefs and personal attitudes toward soy. Health benefits of soy, in turn, impacts soy-related personal beliefs and personal attitudes toward soy. Additionally, soy-related personal beliefs influence personal attitudes toward soy. Finally, both nutrition co...

  15. Analysis on influence factors of China's CO2 emissions based on Path-STIRPAT model

    International Nuclear Information System (INIS)

    Li Huanan; Mu Hailin; Zhang Ming; Li Nan

    2011-01-01

    With the intensification of global warming and continued growth in energy consumption, China is facing increasing pressure to cut its CO 2 (carbon dioxide) emissions down. This paper discusses the driving forces influencing China's CO 2 emissions based on Path-STIRPAT model-a method combining Path analysis with STIRPAT (stochastic impacts by regression on population, affluence and technology) model. The analysis shows that GDP per capita (A), industrial structure (IS), population (P), urbanization level (R) and technology level (T) are the main factors influencing China's CO 2 emissions, which exert an influence interactively and collaboratively. The sequence of the size of factors' direct influence on China's CO 2 emission is A>T>P>R>IS, while that of factors' total influence is A>R>P>T>IS. One percent increase in A, IS, P, R and T leads to 0.44, 1.58, 1.31, 1.12 and -1.09 percentage change in CO 2 emission totally, where their direct contribution is 0.45, 0.07, 0.63, 0.08, 0.92, respectively. Improving T is the most important way for CO 2 reduction in China. - Highlights: → We analyze the driving forces influencing China's CO 2 emissions. → Five macro factors like per capita GDP are the main influencing factors. → These factors exert an influence interactively and collaboratively. → Different factors' direct and total influence on China's CO 2 emission is different. → Improving technology level is the most important way for CO 2 reduction in China.

  16. The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach

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    Pawlasova Pavlina

    2015-12-01

    Full Text Available Satisfaction is one of the key factors which influences customer loyalty. We assume that the satisfied customer will be willing to use the ssame service provider again. The overall passengers´ satisfaction with public city transport may be affected by the overall service quality. Frequency, punctuality, cleanliness in the vehicle, proximity, speed, fare, accessibility and safety of transport, information and other factors can influence passengers´ satisfaction. The aim of this paper is to quantify factors and identify the most important factors influencing customer satisfaction with public city transport within conditions of the Czech Republic. Two methods of analysis are applied in order to fulfil the aim. The method of factor analysis and the method Varimax were used in order to categorize variables according to their mutual relations. The method of structural equation modelling was used to evaluate the factors and validate the model. Then, the optimal model was found. The logistic parameters, including service continuity and frequency, and service, including information rate, station proximity and vehicle cleanliness, are the factors influencing passengers´ satisfaction on a large scale.

  17. Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China

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    Rina Wu

    2016-02-01

    Full Text Available Studying the influencing factors of carbon dioxide emissions is not only practically but also theoretically crucial for establishing regional carbon-reduction policies, developing low-carbon economy and solving the climate problems. Therefore, we used a geographical detector model which is consists of four parts, i.e., risk detector, factor detector, ecological detector and interaction detector to analyze the effect of these social economic factors, i.e., GDP, industrial structure, urbanization rate, economic growth rate, population and road density on the increase of energy consumption carbon dioxide emissions in industrial sector in Inner Mongolia northeast of China. Thus, combining with the result of four detectors, we found that GDP and population more influence than economic growth rate, industrial structure, urbanization rate and road density. The interactive effect of any two influencing factors enhances the increase of the carbon dioxide emissions. The findings of this research have significant policy implications for regions like Inner Mongolia.

  18. Human factors influencing decision making

    OpenAIRE

    Jacobs, Patricia A.

    1998-01-01

    This report supplies references and comments on literature that identifies human factors influencing decision making, particularly military decision making. The literature has been classified as follows (the classes are not mutually exclusive): features of human information processing; decision making models which are not mathematical models but rather are descriptive; non- personality factors influencing decision making; national characteristics influencing decision makin...

  19. Analysis on trust influencing factors and trust model from multiple perspectives of online Auction

    Directory of Open Access Journals (Sweden)

    Yu Wang

    2017-10-01

    Full Text Available Current reputation models lack the research on online auction trading completely so they cannot entirely reflect the reputation status of users and may cause problems on operability. To evaluate the user trust in online auction correctly, a trust computing model based on multiple influencing factors is established. It aims at overcoming the efficiency of current trust computing methods and the limitations of traditional theoretical trust models. The improved model comprehensively considers the trust degree evaluation factors of three types of participants according to different participation modes of online auctioneers, to improve the accuracy, effectiveness and robustness of the trust degree. The experiments test the efficiency and the performance of our model under different scale of malicious user, under environment like eBay and Sporas model. The experimental results analysis show the model proposed in this paper makes up the deficiency of existing model and it also has better feasibility.

  20. Analysis on trust influencing factors and trust model from multiple perspectives of online Auction

    Science.gov (United States)

    Yu, Wang

    2017-10-01

    Current reputation models lack the research on online auction trading completely so they cannot entirely reflect the reputation status of users and may cause problems on operability. To evaluate the user trust in online auction correctly, a trust computing model based on multiple influencing factors is established. It aims at overcoming the efficiency of current trust computing methods and the limitations of traditional theoretical trust models. The improved model comprehensively considers the trust degree evaluation factors of three types of participants according to different participation modes of online auctioneers, to improve the accuracy, effectiveness and robustness of the trust degree. The experiments test the efficiency and the performance of our model under different scale of malicious user, under environment like eBay and Sporas model. The experimental results analysis show the model proposed in this paper makes up the deficiency of existing model and it also has better feasibility.

  1. An extended technology acceptance model for detecting influencing factors: An empirical investigation

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    Mohamd Hakkak

    2013-11-01

    Full Text Available The rapid diffusion of the Internet has radically changed the delivery channels applied by the financial services industry. The aim of this study is to identify the influencing factors that encourage customers to adopt online banking in Khorramabad. The research constructs are developed based on the technology acceptance model (TAM and incorporates some extra important control variables. The model is empirically verified to study the factors influencing the online banking adoption behavior of 210 customers of Tejarat Banks in Khorramabad. The findings of the study suggest that the quality of the internet connection, the awareness of online banking and its benefits, the social influence and computer self-efficacy have significant impacts on the perceived usefulness (PU and perceived ease of use (PEOU of online banking acceptance. Trust and resistance to change also have significant impact on the attitude towards the likelihood of adopting online banking.

  2. [Multivariate response model with multilevel and its application in the influencing factors of blood pressure].

    Science.gov (United States)

    Yang, Yongli; Fu, Pengyu; Xie, Jing; Zhang, Weidong; Zhang, Meixi; Wang, Chongjian; Ping, Zhiguang; Hu, Dongsheng

    2009-09-01

    To explore the application of multivariate response model with multilevel in the influencing factors of blood pressure. Two response model with three-level was fitted under MLwin 2.02 software. The correlation coefficient between systolic blood pressure (SBP) and diastolic blood pressure (DBP) was 0.949 at region level, and 0.701 at individual level. SBP and DBP level increased with age, while the regression coefficient of age on SBP was significantly higher than on DBP, beta was 0.720 (SBP) and 0.118 (DBP) individually (chi2 = 4284.56, P response model with multilevel can be used to analyze the hierarchy structure data, and it is also a good tool to analyze the influencing factors of blood pressure.

  3. A proposed model of factors influencing hydrogen fuel cell vehicle acceptance

    Science.gov (United States)

    Imanina, N. H. Noor; Kwe Lu, Tan; Fadhilah, A. R.

    2016-03-01

    Issues such as environmental problem and energy insecurity keep worsening as a result of energy use from household to huge industries including automotive industry. Recently, a new type of zero emission vehicle, hydrogen fuel cell vehicle (HFCV) has received attention. Although there are argues on the feasibility of hydrogen as the future fuel, there is another important issue, which is the acceptance of HFCV. The study of technology acceptance in the early stage is a vital key for a successful introduction and penetration of a technology. This paper proposes a model of factors influencing green vehicle acceptance, specifically HFCV. This model is built base on two technology acceptance theories and other empirical studies of vehicle acceptance. It aims to provide a base for finding the key factors influencing new sustainable energy fuelled vehicle, HFCV acceptance which is achieved by explaining intention to accept HFCV. Intention is influenced by attitude, subjective norm and perceived behavioural control from Theory of Planned Behaviour and personal norm from Norm Activation Theory. In the framework, attitude is influenced by perceptions of benefits and risks, and social trust. Perceived behavioural control is influenced by government interventions. Personal norm is influenced by outcome efficacy and problem awareness.

  4. Determining factors influencing survival of breast cancer by fuzzy logistic regression model.

    Science.gov (United States)

    Nikbakht, Roya; Bahrampour, Abbas

    2017-01-01

    Fuzzy logistic regression model can be used for determining influential factors of disease. This study explores the important factors of actual predictive survival factors of breast cancer's patients. We used breast cancer data which collected by cancer registry of Kerman University of Medical Sciences during the period of 2000-2007. The variables such as morphology, grade, age, and treatments (surgery, radiotherapy, and chemotherapy) were applied in the fuzzy logistic regression model. Performance of model was determined in terms of mean degree of membership (MDM). The study results showed that almost 41% of patients were in neoplasm and malignant group and more than two-third of them were still alive after 5-year follow-up. Based on the fuzzy logistic model, the most important factors influencing survival were chemotherapy, morphology, and radiotherapy, respectively. Furthermore, the MDM criteria show that the fuzzy logistic regression have a good fit on the data (MDM = 0.86). Fuzzy logistic regression model showed that chemotherapy is more important than radiotherapy in survival of patients with breast cancer. In addition, another ability of this model is calculating possibilistic odds of survival in cancer patients. The results of this study can be applied in clinical research. Furthermore, there are few studies which applied the fuzzy logistic models. Furthermore, we recommend using this model in various research areas.

  5. Conceptual model to identify factors with influence in Brazilian beef consumption

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    Fernanda Scharnberg Brandão

    2015-06-01

    Full Text Available The complexity of the consumers' behavior has taken the food industry to a new level of dynamism. Therefore, understanding the factors that influence this behavior is decisive for the differentiation of products to niche markets and even to adjust the supply according to consumers' expectancy. This article proposes a conceptual model to identify the factors influencing beef consumption in Brazil. The methodological approach was characterized by a systematic review through a synthesis of research related directly to this topic. Therefore, 76 papers published during the 2000-2014 period, including official documents (statistics, full research papers, abstracts, proceedings, and reports, were selected. Four main factors were related to influences in consumer behavior and/or directly in beef consumption: sociocultural, economic, health/food, and environmental. Among these dimensions, there was an emphasis on recent publications related to health/food and the environment. The compilation and analysis of these papers enabled the conception of the proposed model and suggests the consideration of four main dimensions in beef consumption.

  6. Factors Influencing Implementation of OHSAS 18001 in Indian Construction Organizations: Interpretive Structural Modeling Approach.

    Science.gov (United States)

    Rajaprasad, Sunku Venkata Siva; Chalapathi, Pasupulati Venkata

    2015-09-01

    Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication appliqué a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.

  7. Spatial Durbin Model (SDM For Identified Influence Dengue Hemorrhagic Fever Factors in Kabupaten Malang

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    Indah Resti Ayuni Suri

    2012-05-01

    Full Text Available Dengue Hemorrhagic Fever or usually populer call DBD (Demam Berdarah Degue is the cronic desease that caused by virus infection who carry by Aedes Aegypti mousquito. The observation act by DBD descriptioning and some factors territorial view that influence them, also DBD’s modeling use Spatial Durbin Model (SDM. SDM is the particullary case from Spatial Autoregresive Model (SAR, it means modeling with spatial lag at dependen variable and independen variable. This observation use ratio DBD invectors amount with population amount of citizenry at Kabupaten Malang in 2009. Some variable was used, those are the precentation of existention free number embrio, ratio of civil amount between family, procentation of healthy clinic between invectors and procentase of the invectors who taking care by medical help with amount of invectors. The fourth variables are independen variable to ratio of DBD invector amount with population of citizenry amount, as dependen variable trough spatial SDM modelling. The result of SDM parameter modelling, the significant influence variable in session % is the procentation of free amount embrio existention from their own district, the procentation of healthy clinic amount with the DBD invector amount from their own district, the ratio of the population of citizenry with the family from their neighborhood district, and the procentation of healthy clinic amount with the DBD invector amount from their neighborhood district.

  8. Linear model analysis of the influencing factors of boar longevity in Southern China.

    Science.gov (United States)

    Wang, Chao; Li, Jia-Lian; Wei, Hong-Kui; Zhou, Yuan-Fei; Jiang, Si-Wen; Peng, Jian

    2017-04-15

    This study aimed to investigate the factors influencing the boar herd life month (BHLM) in Southern China. A total of 1630 records of culling boars from nine artificial insemination centers were collected from January 2013 to May 2016. A logistic regression model and two linear models were used to analyze the effects of breed, housing type, age at herd entry, and seed stock herd on boar removal reason and BHLM, respectively. Boar breed and the age at herd entry had significant effects on the removal reasons (P linear models (with or without removal reason including) showed boars raised individually in stalls exhibited shorter BHLM than those raised in pens (P introduction. Copyright © 2017. Published by Elsevier Inc.

  9. Uncovering the influence of social skills and psychosociological factors on pain sensitivity using structural equation modeling.

    Science.gov (United States)

    Tanaka, Yoichi; Nishi, Yuki; Nishi, Yuki; Osumi, Michihiro; Morioka, Shu

    2017-01-01

    Pain is a subjective emotional experience that is influenced by psychosociological factors such as social skills, which are defined as problem-solving abilities in social interactions. This study aimed to reveal the relationships among pain, social skills, and other psychosociological factors by using structural equation modeling. A total of 101 healthy volunteers (41 men and 60 women; mean age: 36.6±12.7 years) participated in this study. To evoke participants' sense of inner pain, we showed them images of painful scenes on a PC screen and asked them to evaluate the pain intensity by using the visual analog scale (VAS). We examined the correlation between social skills and VAS, constructed a hypothetical model based on results from previous studies and the current correlational analysis results, and verified the model's fit using structural equation modeling. We found significant positive correlations between VAS and total social skills values, as well as between VAS and the "start of relationships" subscales. Structural equation modeling revealed that the values for "start of relationships" had a direct effect on VAS values (path coefficient =0.32, p social support. The results indicated that extroverted people are more sensitive to inner pain and tend to get more social support and maintain a better psychological condition.

  10. Analysis of Influence Factors of PM2.5 in Chengdu Based on VAR Model

    Science.gov (United States)

    Mingzhi, Luo

    2017-05-01

    Air pollution and smog are the serious harms to public health and has attracted public attention. Based on the vector auto-regressive (VAR) model, we analysed the influence factors of PM2.5 in Chengdu, investigated the effect of other kinds of air pollutants and meteorological factors onthe PM2.5 by using the methods of generalized impulse response function, variance decomposition analysis, Granger causality test and therelated daily data from December 1, 2013 to November 14, 2016 in Chengdu city to the empirical study. The resultsshow that the influence factors of PM2.5 were stable;the increase of nitrogen dioxide, ozone,precipitation and temperature difference led to the increase of PM2.5 concentration while the increase ofthe wind speed, PM10, sulphur dioxide and carbon monoxide resulted in the decrease of PM2.5 concentration.Climate conditions,nitrogen dioxide and ozone are Granger causes for PM2.5.It is suggestedthat the key for the control of PM2.5 must be based on the cause and formation rules of PM2.5.A further study on nitrogen dioxide and ozone may play an important role in finding out the real source and formation reasons of PM2.5.

  11. Determination of the Factors Influencing Store Preference in Erzurum by a Multinomial Logit Model

    Directory of Open Access Journals (Sweden)

    Hüseyin ÖZER

    2008-12-01

    Full Text Available The main objective of this study is to determine factors influencing store preference of the store costumers in Erzurum in terms of some characteristics of the store and its product and costumers’ demographic characteristics (sex, age, marital status, level of education and their income level. In order to carry out this objective, Pearson chi-square test is applied to determine whether there is a relationship between the store preference and customer, stores, and some characteristics of products and a multinominal logit model is fitted by stepwise regression method to the cross-section data compiled from a questionnaire applied to 384 store costumers in the center of Erzurum province. According to the model estimation and test results, the variables of marital status (married, education (primary and cheapness (unimportant for Migros; education (middle for Özmar and marital status (married for the other stores are determined as statistically significant at the level of 5 percent

  12. Influencing Factors and Consequences of Workplace Bullying among Nurses: A Structural Equation Modeling

    Directory of Open Access Journals (Sweden)

    Seonyoung Yun, PhD, RN

    2018-03-01

    Full Text Available Purpose: The purpose of this study was to build and test a model outlining the factors related to workplace bullying among nurses. The hypothesized model included authentic leadership and a relationship-oriented organizational culture as influencing factors, symptom experience and turnover intention as consequences, and positive psychological capital as a mediator of workplace bullying among nurses. Methods: We obtained structured questionnaire data from 301 nurses working at hospitals in South Korea. Based on these data, the developed model was verified via a structural equation modeling analysis using SPSS and AMOS program. Results: The fit indices of the hypothesized model satisfied recommended levels; χ2 = 397.58 (p < .001, normed χ2 (χ2/df = 1.82, RMR = .05, TLI = .93, CFI = .94, RMSEA = .05. A relationship-oriented organizational culture had a direct effect on workplace bullying (β = −.48, p < .001. Furthermore, workplace bullying had a direct effect on symptom experience (β = .36, p < .001, and this relationship was mediated by positive psychological capital (β = .15, p = .003. Workplace bullying also had an indirect effect on turnover intention (β = .20, p = .007. Finally, symptom experience had a direct effect on turnover intention (β = .31, p = .002. Conclusion: These results suggest that workplace bullying among nurses may be prevented by constructing a relationship-oriented organizational culture, as long as employees have sufficient positive psychological capital. In this regard, workplace bullying among nurses should be addressed using a comprehensive strategy that considers both individual and organizational factors. Keywords: bullying, leadership, nurses, organizational culture, personnel turnover

  13. Using group model building to understand factors that influence childhood obesity in an urban environment.

    Science.gov (United States)

    Nelson, David A; Simenz, Christopher J; OʼConnor, Sarah P; Greer, Yvonne D; Bachrach, Ann L; Shields, Tony; Fuller, Brett A; Horrigan, Katie; Pritchard, Kathleen; Springer, Judy B; Meurer, John R

    2015-01-01

    Despite increased attention, conventional views of obesity are based upon individual behaviors, and children and parents living with obesity are assumed to be the primary problem solvers. Instead of focusing exclusively on individual reduction behaviors for childhood obesity, greater focus should be placed on better understanding existing community systems and their effects on obesity. The Milwaukee Childhood Obesity Prevention Project is a community-based coalition established to develop policy and environmental change strategies to impact childhood obesity in Milwaukee, Wisconsin. The coalition conducted a Group Model Building exercise to better understand root causes of childhood obesity in its community. Group Model Building is a process by which a group systematically engages in model construction to better understand the systems that are in place. It helps participants make their mental models explicit through a careful and consistent process to test assumptions. This process has 3 main components: (1) assembling a team of participants; (2) conducting a behavior-over-time graphs exercise; and (3) drawing the causal loop diagram exercise. The behavior-over-time graph portion produced 61 graphs in 10 categories. The causal loop diagram yielded 5 major themes and 7 subthemes. Factors that influence childhood obesity are varied, and it is important to recognize that no single solution exists. The perspectives from this exercise provided a means to create a process for dialogue and commitment by stakeholders and partnerships to build capacity for change within the community.

  14. The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach

    OpenAIRE

    Pawlasova Pavlina

    2015-01-01

    Satisfaction is one of the key factors which influences customer loyalty. We assume that the satisfied customer will be willing to use the ssame service provider again. The overall passengers´ satisfaction with public city transport may be affected by the overall service quality. Frequency, punctuality, cleanliness in the vehicle, proximity, speed, fare, accessibility and safety of transport, information and other factors can influence passengers´ satisfaction. The aim of this pap...

  15. Removal of the pesticide tebuconazole in constructed wetlands: Design comparison, influencing factors and modelling.

    Science.gov (United States)

    Lyu, Tao; Zhang, Liang; Xu, Xiao; Arias, Carlos A; Brix, Hans; Carvalho, Pedro N

    2018-02-01

    Constructed wetlands (CWs) are a promising technology to treat pesticide contaminated water, but its implementation is impeded by lack of data to optimize designs and operating factors. Unsaturated and saturated CW designs were used to compare the removal of triazole pesticide, tebuconazole, in unplanted mesocosms and mesocosms planted with five different plant species: Typha latifolia, Phragmites australis, Iris pseudacorus, Juncus effusus and Berula erecta. Tebuconazole removal efficiencies were significantly higher in unsaturated CWs than saturated CWs, showing for the first time the potential of unsaturated CWs to treat tebuconazole contaminated water. An artificial neural network model was demonstrated to provide more accurate predictions of tebuconazole removal than the traditional linear regression model. Also, tebuconazole removal could be fitted an area-based first order kinetics model in both CW designs. The removal rate constants were consistently higher in unsaturated CWs (range of 2.6-10.9 cm d -1 ) than in saturated CWs (range of 1.7-7.9 cm d -1 ) and higher in planted CWs (range of 3.1-10.9 cm d -1 ) than in unplanted CWs (range of 1.7-2.6 cm d -1 ) for both designs. The low levels of sorption of tebuconazole to the substrate (0.7-2.1%) and plant phytoaccumulation (2.5-12.1%) indicate that the major removal pathways were biodegradation and metabolization inside the plants after plant uptake. The main factors influencing tebuconazole removal in the studied systems were system design, hydraulic loading rate and plant presence. Moreover, tebuconazole removal was positively correlated to dissolved oxygen and all nutrients removal. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study

    Science.gov (United States)

    Wang, Zilin; Huang, Xin; Ding, Aijun

    2018-02-01

    Black carbon (BC) has been identified to play a critical role in aerosol-planetary boundary layer (PBL) interaction and further deterioration of near-surface air pollution in megacities, which has been referred to as the dome effect. However, the impacts of key factors that influence this effect, such as the vertical distribution and aging processes of BC, as well as the underlying land surface, have not been quantitatively explored yet. Here, based on available in situ measurements of meteorology and atmospheric aerosols together with the meteorology-chemistry online coupled model WRF-Chem, we conduct a set of parallel simulations to quantify the roles of these factors in influencing the BC dome effect and surface haze pollution. Furthermore, we discuss the main implications of the results to air pollution mitigation in China. We found that the impact of BC on the PBL is very sensitive to the altitude of aerosol layer. The upper-level BC, especially that near the capping inversion, is more essential in suppressing the PBL height and weakening the turbulent mixing. The dome effect of BC tends to be significantly intensified as BC mixed with scattering aerosols during winter haze events, resulting in a decrease in PBL height by more than 15 %. In addition, the dome effect is more substantial (up to 15 %) in rural areas than that in the urban areas with the same BC loading, indicating an unexpected regional impact of such an effect to air quality in countryside. This study indicates that China's regional air pollution would greatly benefit from BC emission reductions, especially those from elevated sources from chimneys and also domestic combustion in rural areas, through weakening the aerosol-boundary layer interactions that are triggered by BC.

  17. A New Benchmark for Internet Use: A Logistic Modeling of Factors Influencing Internet Use in Canada, 2005

    Science.gov (United States)

    Noce, Anthony A.; McKeown, Larry

    2008-01-01

    Internet diffusion is not homogeneous and depends on many factors. This study uses data from the Canadian Internet Use Survey (CIUS) to explore the extent demographic variables affect Internet use by individuals in Canada. A logistic model confirms that certain factors, educational attainment, and geography in particular influence Internet use in…

  18. The Examination of Factors Influencing Social Media Usage by African American Small Business Owners Using the UTAUT Model

    Science.gov (United States)

    Serben, Dion F.

    2014-01-01

    The unified theory of acceptance and use of technology (UTAUT) model has demonstrated the influencing factors for various business technology uses within the organizational system. However, in the context of African American small businesses (AASB), there was very little evidence of research to determine factors affecting the intention to use…

  19. Modelling the interactions among factors that influence successful computerisation of small business

    Directory of Open Access Journals (Sweden)

    Gerard Fogarty

    2008-05-01

    Full Text Available Small businesses face many problems if they are to survive the first five years of operation. The increasing complexity of information needed to run a business in the 21st Century has added another obstacle to what is already a tough course. Sooner or later, survivors are faced with the prospect of investing in computer based information systems (CBIS. Properly handled, the investment will improve the competitiveness of the company. Badly handled, the investment will handicap the company and perhaps even lead to its closure. Using survey methodology, the present study collected information from 171 small businesses that had purchased computer systems with a view to finding out what factors contribute to successful implementation of CBIS. The variables studied included background characteristics of the organization, background characteristics of the Chief Executive Officer, decision making processes, and a range of variables relating to the performance of the system itself. The outcome variable was user satisfaction. We developed and tested a CBIS implementation success model based on these variables. Results showed that although the performance of the system was the immediate determinant of satisfaction, the background variables had both direct and indirect (mediated effects on satisfaction. These findings emphasise the importance of going beyond the immediate surrounds of a computing environment if one wishes to explain the factors that influence CBIS success in small businesses.

  20. Theoretical models regarding factors influencing switching regimes and the hydrological and erosional significance of hydrophobicity

    Science.gov (United States)

    Walsh, Rory; Urbanek, Emilia; Ferreira, Carla; Shakesby, Richard; Bento, Celia; Ferreira, Antonio

    2013-04-01

    The influence which soil hydrophobicity may have on hillslope hydrology and erosion in any location will depend on the proportion of storm events in which it is spatially contiguous. This in turn is dependent upon (a) the speed and three-dimensional pattern with which it disappears in wet weather and (b) the speed, three-dimensional pattern and degree of re-establishment of hydrophobicity in dry weather following hydrophilic or partially hydrophilic episodes. This paper draws upon results of laboratory and field investigations of changes through time in hydrophobicity, as well as recent advances in knowledge of switching mechanisms, to develop theory relating to hydrophobicity, its three-dimensional temporal dynamics and controls and its influence on overland flow and slopewash. Particular attention is given to modelling temporal change following fire. Use is made of key findings from (1) a field study of changes over a 4.2-year period January 2009 to March 2013 in hydrophobicity at two 10 m x 10 m grids (270 points, surface and 5 cm depth) on heather moorland in Central Portugal, where one grid was burned by an experimental fire in February 2009 and the other was an immediately adjacent unburned control; (2) a laboratory study of three-dimensional change in hydrophobicity with wetting (by an 8 mm simulated rainfall) and at different stages in an 80-hour drying phase of three different but initially equally hydrophobic soils, each of which comprising variants with and without artificial vertical routeways (simulated roots or linear cracks) and with or without drainage impedance at 2.5 cm depth. A series of theoretical models are presented addressing 1) factors and mechanisms influencing post-fire temporal change in hydrophobicity and (2) factors and mechanisms controlling the significance and temporal dynamics of hydrophobicity influence on overland flow and erosion (i) in unburned terrain and (ii) following fire. The field evidence from Portugal suggests a three

  1. Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods

    Directory of Open Access Journals (Sweden)

    Meaney Christopher

    2011-08-01

    investigating predictors of increased emergency department utilization. Six different multiple regression models for count data were fitted to assess the influence of predictors on demand for emergency department services, including: Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial. Comparison of competing models was assessed by the Vuong test statistic. Results The CCHS cycle 2.1 respondents were a roughly equal mix of males (50.4% and females (49.6%. The majority (86.2% were young-middle aged adults between the ages of 20-64, living in predominantly urban environments (85.9%, with mid-high household incomes (92.2% and well-educated, receiving at least a high-school diploma (84.1%. Many participants reported no chronic disease (51.9%, fell into a small number (0-5 of ambulatory diagnostic groups (62.3%, and perceived their health status as good/excellent (88.1%; however, were projected to have high Resource Utilization Band levels of health resource utilization (68.2%. These factors were largely stable for CCHS cycle 3.1 respondents. Factors influencing demand for emergency department services varied according to the severity of triage scores at initial presentation. For example, although a non-significant predictor of the odds of emergency department utilization in high severity cases, access to a primary care physician was a statistically significant predictor of the likelihood of emergency department utilization (OR: 0.69; 95% CI OR: 0.63-0.75 and the rate of emergency department utilization (RR: 0.57; 95% CI RR: 0.50-0.66 in low severity cases. Conclusion Using a theoretically appropriate hurdle negative binomial regression model this unique study illustrates that access to a primary care physician is an important predictor of both the odds and rate of emergency department utilization in Ontario. Restructuring primary care services, with aims of increasing access to undersupplied populations

  2. Analysis of Factors that Influence Infiltration Rates using the HELP Model

    Energy Technology Data Exchange (ETDEWEB)

    Dyer, J. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Shipmon, J. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)

    2017-09-28

    The Hydrologic Evaluation of Landfill Performance (HELP) model is used by Savannah River National Laboratory (SRNL) in conjunction with PORFLOW groundwater flow simulation software to make longterm predictions of the fate and transport of radionuclides in the environment at radiological waste sites. The work summarized in this report supports preparation of the planned 2018 Performance Assessment for the E-Area Low-Level Waste Facility (LLWF) at the Savannah River Site (SRS). More specifically, this project focused on conducting a sensitivity analysis of infiltration (i.e., the rate at which water travels vertically in soil) through the proposed E-Area LLWF closure cap. A sensitivity analysis was completed using HELP v3.95D to identify the cap design and material property parameters that most impact infiltration rates through the proposed closure cap for a 10,000-year simulation period. The results of the sensitivity analysis indicate that saturated hydraulic conductivity (Ksat) for select cap layers, precipitation rate, surface vegetation type, and geomembrane layer defect density are dominant factors limiting infiltration rate. Interestingly, calculated infiltration rates were substantially influenced by changes in the saturated hydraulic conductivity of the Upper Foundation and Lateral Drainage layers. For example, an order-of-magnitude decrease in Ksat for the Upper Foundation layer lowered the maximum infiltration rate from a base-case 11 inches per year to only two inches per year. Conversely, an order-of-magnitude increase in Ksat led to an increase in infiltration rate from 11 to 15 inches per year. This work and its results provide a framework for quantifying uncertainty in the radionuclide transport and dose models for the planned 2018 E-Area Performance Assessment. Future work will focus on the development of a nonlinear regression model for infiltration rate using Minitab 17® to facilitate execution of probabilistic simulations in the GoldSim® overall

  3. Analysis of Factors that Influence Infiltration Rates using the HELP Model

    International Nuclear Information System (INIS)

    Dyer, J.; Shipmon, J.

    2017-01-01

    The Hydrologic Evaluation of Landfill Performance (HELP) model is used by Savannah River National Laboratory (SRNL) in conjunction with PORFLOW groundwater flow simulation software to make longterm predictions of the fate and transport of radionuclides in the environment at radiological waste sites. The work summarized in this report supports preparation of the planned 2018 Performance Assessment for the E-Area Low-Level Waste Facility (LLWF) at the Savannah River Site (SRS). More specifically, this project focused on conducting a sensitivity analysis of infiltration (i.e., the rate at which water travels vertically in soil) through the proposed E-Area LLWF closure cap. A sensitivity analysis was completed using HELP v3.95D to identify the cap design and material property parameters that most impact infiltration rates through the proposed closure cap for a 10,000-year simulation period. The results of the sensitivity analysis indicate that saturated hydraulic conductivity (Ksat) for select cap layers, precipitation rate, surface vegetation type, and geomembrane layer defect density are dominant factors limiting infiltration rate. Interestingly, calculated infiltration rates were substantially influenced by changes in the saturated hydraulic conductivity of the Upper Foundation and Lateral Drainage layers. For example, an order-of-magnitude decrease in Ksat for the Upper Foundation layer lowered the maximum infiltration rate from a base-case 11 inches per year to only two inches per year. Conversely, an order-of-magnitude increase in Ksat led to an increase in infiltration rate from 11 to 15 inches per year. This work and its results provide a framework for quantifying uncertainty in the radionuclide transport and dose models for the planned 2018 E-Area Performance Assessment. Future work will focus on the development of a nonlinear regression model for infiltration rate using Minitab 17® to facilitate execution of probabilistic simulations in the GoldSim® overall

  4. Unravelling the influence of smoking initiation and cessation on premature mortality using a common latent factor model

    OpenAIRE

    Silvia Balia; Andrew M. Jones

    2007-01-01

    Duration models for lifespan and smoking, that focus on the socio-economic gradient in smoking durations and length of life, are estimated controlling for individual-specific unobservable heterogeneity by means of a latent factor model. The latent factor influences the risk of starting and quitting smoking as well as the hazard of mortality. Frailty could in°uence smoking behaviour through two mechanisms: the effect of life expectancy on initiation of smok- ing and the impact of adverse healt...

  5. A Study on Influencing Factors of Knowledge Management Systems Adoption: Models Comparison Approach

    OpenAIRE

    Mei-Chun Yeh; Ming-Shu Yuan

    2007-01-01

    Using Linear Structural Relation model (LISREL model) as analysis method and technology acceptance model and decomposed theory of planned behavior as research foundation, this study approachesmainly from the angle of behavioral intention to examine the influential factors of 421 employees adopting knowledge management systems and in the meantime to compare the two method models mentioned on the top. According to the research, there is no, in comparison with technology acceptance model anddeco...

  6. Factors influencing residents' evaluations of clinical faculty member teaching qualities and role model status

    NARCIS (Netherlands)

    Arah, Onyebuchi A.; Heineman, Maas J.; Lombarts, Kiki M. J. M. H.

    2012-01-01

    OBJECTIVES Evaluations of faculty members are widely used to identify excellent or substandard teaching performance. In order to enable such evaluations to be properly interpreted and used in faculty development, it is essential to understand the factors that influence resident doctors' (residents)

  7. Factors Influencing Adoption of Information Technology Infrastructure Library: Utilizing the Technology Acceptance Model (TAM)

    Science.gov (United States)

    Cox, Din S. Z.

    2013-01-01

    There is a shortage of evidence based research that provides organizations with the necessary information in support of their technology adoption decisions in relation to ITSM technologies. As such, this research study attempted to bridge the gap by offering insight on possible factors that could influence such decisions. An examination of…

  8. Factors influencing residents' evaluations of clinical faculty member teaching qualities and role model status.

    Science.gov (United States)

    Arah, Onyebuchi A; Heineman, Maas J; Lombarts, Kiki M J M H

    2012-04-01

      Evaluations of faculty members are widely used to identify excellent or substandard teaching performance. In order to enable such evaluations to be properly interpreted and used in faculty development, it is essential to understand the factors that influence resident doctors' (residents) evaluations of the teaching qualities of faculty members and their perceptions of faculty members as role-model specialists.   We carried out a cross-sectional survey within a longitudinal study of the System for Evaluation of Teaching Qualities (SETQ) of clinical teachers. The study sample included 889 residents and 1014 faculty members in 61 teaching programmes spanning 22 specialties in 20 hospitals in the Netherlands. Main outcome measures included residents' (i) global and (ii) specific ratings of faculty member teaching qualities, and (iii) global ratings of faculty members as role-model specialists. Statistical analysis was conducted using adjusted multivariable logistic generalised estimating equations.   In total, 690 residents (77.6%) completed 6485 evaluations of 962 faculty members, 848 (83.6%) of whom also self-evaluated. More recently certified faculty members, those who had attended a teacher training programme, and those who spent more time teaching than seeing patients or conducting research were more likely to score highly on most teaching qualities. However, faculty members who had undergone teacher training were less likely to be seen as role models (odds ratio [OR] 0.72, 95% confidence interval [CI] 0.59-0.88). In addition, faculty members were evaluated slightly higher by male than female residents on core teaching domains and overall teaching quality, but were less likely to be seen as role models by male residents (OR 0.80, 95% CI 0.67-0.97). Lastly, faculty members had higher odds of receiving top scores in specific teaching domains from residents in the first 4 years of residency and were less likely to be considered as role models by more

  9. A Model of Consumer Response to Over-the-Counter Drug Advertising: Antecedents and Influencing Factors.

    Science.gov (United States)

    Huh, Jisu; Delorme, Denise E; Reid, Leonard N

    2016-01-01

    Given the importance of over-the-counter (OTC) drugs in the health care marketplace and lack of systematic research on OTC drug advertising (OTCA) effects, this study tested a theory-based, product category-specific OTCA effects model. Structural equation modeling analysis of data for 1 OTC drug category, analgesics, supported the proposed model, explaining the OTCA effect process from key consumer antecedents to ad involvement, from ad involvement to ad attention, from ad attention to cognitive responses, then to affective/evaluative responses, leading to the final behavioral outcome. Several noteworthy patterns also emerged: (a) Product involvement was directly linked to ad attention, rather than exerting an indirect influence through ad involvement; (b) ad attention was significantly related to both cognitive and affective/evaluative responses to different degrees, with stronger links to cognitive responses; and (c) ad-prompted actions were influenced by both ad trust and ad attitude.

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

    Science.gov (United States)

    Gu, Yaming; Li, Lu; Zhou, Chi; Yang, Tingzhong; Dong, Hengjin

    2014-06-28

    Premarital medical examination (PME) compliance rate has dropped drastically since it became voluntary in China in 2003. This study aimed to establish a prediction model to be a theoretic framework for analyzing factors affecting PME compliance in Zhejiang province, China. A culturally-tailored health behavioral model combining the Health Behavioral Model (HBM) and the Theory of Reasoned Action (TRA) was established to analyze the data from a cross-sectional questionnaire survey (n = 2,572) using the intercept method at the county marriage registration office in 12 counties from Zhejiang in 2010. Participants were grouped by high (n = 1,795) and low (n = 777) social desirability responding tendency (SDRT) by Marlowe-Crowne Social Desirability Scale (MCSDS). A structural equation modeling (SEM) was conducted to evaluate behavioral determinants for their influences on PME compliance in both high and low SDRT groups. 69.8% of the participants had high SDRT and tended to overly report benefits and underreport barriers, which may affect prediction accuracy on PME participation. In the low SDRT group, the prediction model showed the most influencing factor on PME compliance was behavioral intention, with standardized structural coefficients (SSCs) being 0.75 (P PME (SSCs = 0.48, P PME compliance than perceived threat (SSCs = 0.36, 0.269, and -0.06, respectively). County environmental factors played a role in PME compliance while less influential than behavioral determinates (16% vs. 84% in across factor variance partition coefficient). PME compliance might be influenced by demographic, behavioral, and social environmental factors. The verified prediction model was tested to be an effective theoretic framework for the prediction of factors affecting voluntary PME compliance. It also should be noted that internationally available behavioral theories and models need to be culturally tailored to adapt to particular populations. This study has provided new insights for

  11. Choice Model and Influencing Factor Analysis of Travel Mode for Migrant Workers: Case Study in Xi’an, China

    Directory of Open Access Journals (Sweden)

    Hong Chen

    2015-01-01

    Full Text Available Based on the basic theory and methods of disaggregate choice model, the influencing factors in travel mode choice for migrant workers are analyzed, according to 1366 data samples of Xi’an migrant workers. Walking, bus, subway, and taxi are taken as the alternative parts of travel modes for migrant workers, and a multinomial logit (MNL model of travel mode for migrant workers is set up. The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all greater than 80%. Finally, the influence of different factors affecting the choice of travel mode is analyzed in detail, and the inelasticity of each factor is analyzed with the elasticity theory. Influencing factors such as age, education level, and monthly gross income have significant impact on travel choice mode for migrant workers. The elasticity values of education degree are greater than 1, indicating that it on the travel mode choice is of elasticity, while the elasticity values of gender, industry distribution, and travel purpose are less than 1, indicating that these factors on travel mode choice are of inelasticity.

  12. Modelling nutrient concentration to determine the environmental factors influencing grass quality

    CSIR Research Space (South Africa)

    Dudeni-Tlhone, N

    2010-10-01

    Full Text Available CONCENTRATION TO DETERMINE THE ENVIRONMENTAL FACTORS INFLUENCING GRASS QUALITY N. Dudeni-Tlhone1 , A. Ramoelo2, M. A. Cho2, P. Debba1 R. Mathieu2 1Logistics and Quantitative Methods, Built Environment, CSIR, P O. Box 395, Preotria, 0001 2Ecosystems and Earth... production yields desirable outputs, the environment on the other hand becomes under pressure. Animal production has also been reported to be on the increase since 1995. The main concern, however, is that the total stocking densities exceed the grazing...

  13. [Analysis of dietary pattern and diabetes mellitus influencing factors identified by classification tree model in adults of Fujian].

    Science.gov (United States)

    Yu, F L; Ye, Y; Yan, Y S

    2017-05-10

    Objective: To find out the dietary patterns and explore the relationship between environmental factors (especially dietary patterns) and diabetes mellitus in the adults of Fujian. Methods: Multi-stage sampling method were used to survey residents aged ≥18 years by questionnaire, physical examination and laboratory detection in 10 disease surveillance points in Fujian. Factor analysis was used to identify the dietary patterns, while logistic regression model was applied to analyze relationship between dietary patterns and diabetes mellitus, and classification tree model was adopted to identify the influencing factors for diabetes mellitus. Results: There were four dietary patterns in the population, including meat, plant, high-quality protein, and fried food and beverages patterns. The result of logistic analysis showed that plant pattern, which has higher factor loading of fresh fruit-vegetables and cereal-tubers, was a protective factor for non-diabetes mellitus. The risk of diabetes mellitus in the population at T2 and T3 levels of factor score were 0.727 (95 %CI: 0.561-0.943) times and 0.736 (95 %CI : 0.573-0.944) times higher, respectively, than those whose factor score was in lowest quartile. Thirteen influencing factors and eleven group at high-risk for diabetes mellitus were identified by classification tree model. The influencing factors were dyslipidemia, age, family history of diabetes, hypertension, physical activity, career, sex, sedentary time, abdominal adiposity, BMI, marital status, sleep time and high-quality protein pattern. Conclusion: There is a close association between dietary patterns and diabetes mellitus. It is necessary to promote healthy and reasonable diet, strengthen the monitoring and control of blood lipids, blood pressure and body weight, and have good lifestyle for the prevention and control of diabetes mellitus.

  14. Analysis on the influence factors of Bitcoin's price based on VEC model

    OpenAIRE

    Zhu, Yechen; Dickinson, David; Li, Jianjun

    2017-01-01

    Background: Bitcoin, the most innovate digital currency as of now, created since 2008, even through experienced its ups and downs, still keeps drawing attentions to all parts of society. It relies on peer-to-peer network, achieved decentralization, anonymous and transparent. As the most representative digital currency, people curious to study how Bitcoin' price changes in the past. Methods: In this paper, we use monthly data from 2011 to 2016 to build a VEC model to exam how economic factors ...

  15. Models of Anaylzing the Influence of Factors on Forming Profit Rate

    Directory of Open Access Journals (Sweden)

    Klara S. Jakovčević

    2014-04-01

    Full Text Available The analysis in this paper is focused on identifying the impact of individual factors on the elements of the profit rate. The primary aim of this work is a methodological overview of solutions for understanding the full content of the profit rate as a cause of economic quality as well as indicators of the results of reproduction. Application of model analysis of profit rate factors was performed in an enterprise from Serbia that manufactures construction materials from baked clay. The aim is of application is to test the range in determining elements and factors of economic success of the enterprise, and quantification of changes in its assumptions. The results are useful guideline for the management to take organizational measures to increase the economic success of the enterprise. This means eliminating the negative, emphasizing the positive impact of objectively, and organizational factors to make higher economic success. Based on empirical research, it could be concluded that the proposed quantitative models of analyzing the dynamics of enterprise business quality could be applied in practice.

  16. A fractal model of effective stress of porous media and the analysis of influence factors

    Science.gov (United States)

    Li, Wei; Zhao, Huan; Li, Siqi; Sun, Wenfeng; Wang, Lei; Li, Bing

    2018-03-01

    The basic concept of effective stress describes the characteristics of fluid and solid interaction in porous media. In this paper, based on the theory of fractal geometry, a fractal model was built to analyze the relationship between the microstructure and the effective stress of porous media. From the microscopic point of view, the influence of effective stress on pore structure of porous media was demonstrated. Theoretical analysis and experimental results show that: (i) the fractal model of effective stress can be used to describe the relationship between effective stress and the microstructure of porous media; (ii) a linear increase in the effective stress leads to exponential increases in fractal dimension, porosity and pore number of the porous media, and causes a decreasing trend in the average pore radius.

  17. Air-gun signature modelling considering the influence of mechanical structure factors

    Science.gov (United States)

    Li, Guofa; Liu, Zhao; Wang, Jianhua; Cao, Mingqiang

    2014-04-01

    In marine seismic prospecting, as the air-gun array is usually composed of different types of air-guns, the signature modelling of different air-guns is particularly important to the array design. Different types of air-guns have different mechanical structures, which directly or indirectly affect the signatures. In order to simulate the influence of the mechanical structure, five parameters—the throttling constant, throttling power law exponent, mass release efficiency, fluid viscosity and heat transfer coefficient—are used in signature modelling. Through minimizing the energy relative error between the simulated and the measured signatures by the simulated annealing method, the five optimal parameters can be estimated. The method is tested in a field experiment, and the consistency between the simulated and the measured signatures is improved with the optimal parameters.

  18. Choice Model and Influencing Factor Analysis of Travel Mode for Migrant Workers: Case Study in Xi’an, China

    OpenAIRE

    Chen, Hong; Gan, Zuo-xian; He, Yu-ting

    2015-01-01

    Based on the basic theory and methods of disaggregate choice model, the influencing factors in travel mode choice for migrant workers are analyzed, according to 1366 data samples of Xi’an migrant workers. Walking, bus, subway, and taxi are taken as the alternative parts of travel modes for migrant workers, and a multinomial logit (MNL) model of travel mode for migrant workers is set up. The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all great...

  19. Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type

    Directory of Open Access Journals (Sweden)

    Garcia MN

    2011-01-01

    Full Text Available This paper presents an audiovisual quality model for IPTV services. The model estimates the audiovisual quality of standard and high definition video as perceived by the user. The model is developed for applications such as network planning and packet-layer quality monitoring. It mainly covers audio and video compression artifacts and impairments due to packet loss. The quality tests conducted for model development demonstrate a mutual influence of the perceived audio and video quality, and the predominance of the video quality for the overall audiovisual quality. The balance between audio quality and video quality, however, depends on the content, the video format, and the audio degradation type. The proposed model is based on impairment factors which quantify the quality-impact of the different degradations. The impairment factors are computed from parameters extracted from the bitstream or packet headers. For high definition video, the model predictions show a correlation with unknown subjective ratings of 95%. For comparison, we have developed a more classical audiovisual quality model which is based on the audio and video qualities and their interaction. Both quality- and impairment-factor-based models are further refined by taking the content-type into account. At last, the different model variants are compared with modeling approaches described in the literature.

  20. Macro-economic factors influencing the architectural business model shift in the pharmaceutical industry.

    Science.gov (United States)

    Dierks, Raphaela Marie Louisa; Bruyère, Olivier; Reginster, Jean-Yves; Richy, Florent-Frederic

    2016-10-01

    Technological innovations, new regulations, increasing costs of drug productions and new demands are only few key drivers of a projected alternation in the pharmaceutical industry. The purpose of this review is to understand the macro economic factors responsible for the business model revolution to possess a competitive advantage over market players. Areas covered: Existing literature on macro-economic factors changing the pharmaceutical landscape has been reviewed to present a clear image of the current market environment. Expert commentary: Literature shows that pharmaceutical companies are facing an architectural alteration, however the evidence on the rationale driving the transformation is outstanding. Merger & Acquisitions (M&A) deals and collaborations are headlining the papers. Q1 2016 did show a major slowdown in M&A deals by volume since 2013 (with deal cancellations of Pfizer and Allergan, or the downfall of Valeant), but pharmaceutical analysts remain confident that this shortfall was a consequence of the equity market volatility. It seems likely that the shift to an M&A model will become apparent during the remainder of 2016, with deal announcements of Abbott Laboratories, AbbVie and Sanofi worth USD 45billion showing the appetite of big pharma companies to shift from the fully vertical integrated business model to more horizontal business models.

  1. Factors that influence spontaneous reporting of adverse drug reactions: a model centralized in the medical professional.

    Science.gov (United States)

    Herdeiro, María T; Polonia, Jorge; Gestal-Otero, Juan J; Figueiras, Adolfo

    2004-11-01

    The spontaneous reporting of adverse drug reactions (ADRs) through the yellow card and made concrete by the knowledge and attitudes of doctors, has been rousing a great deal of bibliographical interest in recent years. However, there does not seem to be any actual revision in the theme on which the theoretical models that explain the process of decision in reporting are proposed. In this work an explanatory model of the factors that condition reporting is proposed and a revision of the literature on the subject has also been carried out. The proposed model is centralized in the medical professional and it considers the habit of reporting as the result of the doctor's formation and his interaction with the environment. The combination of knowledge-attitudes-practices and the theory of the satisfaction of needs seemed very adequate for ADR systematization. The results also indicate that, to improve the participation of health professionals in surveillance systems through spontaneous reporting, it might be necessary to design combined strategies that modify both intrinsic (knowledge, attitudes) and extrinsic (relationship between health professionals and their patients, the national health system and pharmaceutical companies) factors.

  2. The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model

    Directory of Open Access Journals (Sweden)

    Yongli Zhang

    2018-01-01

    Full Text Available Technology innovation is a motivating force for sustainable development. The recognition and measurement of influencing factors are a basic prerequisite of technology innovation research. In response to the gaps and shortages of existing theories and methods, this paper builds the impact indicators of technology innovation, the proposed FOA-GRNN model, and analyzes the influencing factors, regional differences and temporal variations of technology innovation based on industrial above-scale enterprises of 31 provinces in China from 2008 to 2015. The empirical results show that innovation investment is a determinant of technology innovation in China, and is more and more significant; meanwhile a wide gap of innovation resource between Eastern China and Western China exists. In general, the enterprise scale has a negative effect: with enlargement of enterprise in China, the innovation efficiency of enterprise will decline, while the effect has regional disparity, with positive influence in Central and Western China, and negative influence in Eastern China. Government support has negative effects on technology innovation: indirect equity investment contributes more to technology innovation than direct fund support. Innovation environment has positive and weak effects on technology innovation, but it is the biggest obstacle in Western China, and the innovation environment in China has improved continuously. This paper provides new evidence that can shine some light on determining the factors affecting technology innovation, and also presents a novel approach, which comprises characteristics of nonlinear function approximation, high accuracy and a small sample.

  3. [Modeling the Influencing Factors of Karstification and Karst Carbon Cycle in Laboratory].

    Science.gov (United States)

    Zhao, Rui-yi; Lü, Xian-fu; Duan, Yi-fan

    2015-08-01

    To analyze the influencing factors of karstification and karst carbon cycle, a simulation experiment was carried out and 6 soil columns were designed. The results showed that the content of H2O4, hydrodynamic condition and thickness of the soil had important influence on karstification and karst carbon cycle. For the soil columns which were covered by the same thickness of soil, the concentrations of Ca2+ + Mg2+ and SO4(2-) followed the order of B20-2 > B20-1 > B20-3, B50-2 > B50-1 > B50-3. This meant that input of H2SO4 enhanced the karstification and increasing infiltration water had significant dilution effect on the chemical properties. For the soil columns with different thickness of soil but with the same slag pile and hydrodynamic conditions, the concentrations of Ca2+ + Mg2+ and SO4(2-) followed the order of B50-1 > B20-1, B50-2 > B20-2, B50-3 > B20-3. It was demonstrated that more carbonate rock was dissolved under the thick soil columns. In addition, the net consumption of CO2 mainly depended on the content of H2SO4 in this experiment due to slight contribution of H2CO3 to carbonate rock dissolution. More content of H2SO4 brought about less net consumption of C02, but B50-2 was an exception. Organic matter and other nutrients might be input into deep soil with the slag pile, and they promoted the production of soil C)2. Therefore, more CO2 was consumed due to the increased contribution of H2CO to karstification.

  4. [Explore the influence factors on primary lung cancer in Fujian province Han population under the use of generalized linear model].

    Science.gov (United States)

    He, Fei; Xiao, Rendong; Yu, Tingting; Zhang, Xin; Liu, Zhiqiang; Cai, Lin

    2015-08-01

    The purpose of this study was to use the data on lung cancer in Han Chinese in Fujian province to explore the value of a generalized, linear model and to investigate the impact related to environment factors on lung cancer as well as the independent and interaction effects on the development of lung cancer. SAS 9.2 was used to build a generalized linear model to evaluate the influence factors and interaction of lung cancer on both smokers and non-smokers. Results showed that the relationship of the factors was multiplied. Under the logistic regression analysis, seven risk factors and nine risk factors were noticed in smokers or in non-smokers, respectively. Heavy smokers and lung diseases appeared a positive multiplying effect on smokers while passive smoking and fresh fruits showed positive multiplying effects on non-smokers. The generalized linear models could filter suitable models thus facilitating further research on the interaction between the two. It seemed easy to carry on the comprehensive and rational analysis on related epidemiological data.

  5. Determination of water flushing characteristics and their influencing factors on the Dahuofang Reservoir in China using an improved ECOMSED model

    Science.gov (United States)

    Zhang, Ming; Shen, Yongming

    2015-09-01

    A three-dimensional hydrodynamic model with the capability to deal with changing land water boundaries was developed based on ECOMSED in this study. The model was configured to numerically study the water flushing characteristics of Dahuofang Reservoir in China through the determination of spatially distributed residence times. The model successfully reproduced the intra-annual water level variations, as well as the temporal evolution and spatial distribution of water temperature. Through a series of numerical experiments, it can be concluded that (1) the water flushing of the reservoir is both temporally and spatially variable; and (2) inflows and withdrawals are the decisive factors influencing the water flushing characteristics. Heat fluxes are the controlling factors of the water flushing of a strong stratified reservoir. Wind has the weakest effect, but it still should be considered in determination of reservoir water flushing characteristics.

  6. FACTORS INFLUENCING E-COMMERCE ADOPTION BY SMES INDONESIA: A CONCEPTUAL MODEL

    Directory of Open Access Journals (Sweden)

    Evi Triandini

    2015-11-01

    Full Text Available E-commerce present different prospect to Small and Medium Sized Enterprises (SMEs andprovides benefits to SMEs. At this stage, there are a number of studies focused on SMEs indeveloped countries. For developing countries, the situation is quite different. Furthermore, thereis still limited number of researches on e-commerce adoption by SMEs in Indonesia. SMEs playa vital role in reducing the rate of poverty and unemployment in Indonesian economy. In 2009,micro, small and medium enterprises in Indonesia consist of 52.7 million units or 99.99% of thetotal business enterprises, and employ 96.21 million people or 97% of the total labor forces. SMEsin Indonesia faced internal and external problems. This study explores various factors influencinge-commerce adoption by SMEs in several countries and projecting it to Indonesia. Results showsthat there are a number of perceived opportunities presented by e-commerce adoption inIndonesia, i.e. extending market-reach and even global, increasing customer personalizeservices, and improving its competitiveness. Furthermore, this study also proposes six potentialfactors influenced the adoption of e-commerce by SMEs in Indonesia, i.e. perceived usefulness,perceived ease of use, relative advantage, perceived risk, perceived trust, and compatibility.

  7. Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

    Directory of Open Access Journals (Sweden)

    Yun Wang

    2017-10-01

    Full Text Available Understanding the public transportation users’ preferences to long-distance travel modes would contribute to reasonable developing policies and resource allocation. This paper aims to explore the influencing mechanism of potential factors on the long-distance travel mode choice. A survey was conducted to collect the data. The analysis of variance (ANOVA approach was applied to analyze the correlation relationship between potential factors and travel mode choice behavior. The results showed that, except gender, service demand for safety and departure time, all of the other factors significantly influenced the travel mode choice behavior. Specifically, passengers with higher education level and income level were more likely to choose high-speed railway (HSR and plane; passengers caring about travel expense were more likely to choose ordinary train, whereas plane and HSR may be chosen more by passengers caring more about comfort, punctuality and efficiency; the more passengers were satisfied with travel modes’ service performance, the more they would be likely to choose them; the most competitive distance ranges for coach, ordinary train, HSR and plane were below 500 km, 500–1000 km, 500–1500 km and over 1500 km, respectively. Besides, the structural equation modeling (SEM technique was applied to investigate the influencing mechanism of factors on the long-distance travel mode choice. The results revealed that travel distance was the most significant variable directly influencing passengers’ mode choices, followed by the service demand, performance evaluation, and personal attributes. Furthermore, personal attributes were verified to have an indirect effect on travel mode choice behavior by significantly affecting the service demand and performance evaluation.

  8. Modelling studies for influence factors of gas bubble in compressed air energy storage in aquifers

    International Nuclear Information System (INIS)

    Guo, Chaobin; Zhang, Keni; Li, Cai; Wang, Xiaoyu

    2016-01-01

    CAES (Compressed air energy storage) is credited with its potential ability for large-scale energy storage. Generally, it is more convenient using deep aquifers than employing underground caverns for energy storage, because of extensive presence of aquifers. During the first stage in a typical process of CAESA (compressed air energy storage in aquifers), a large amount of compressed air is injected into the target aquifer to develop an initial space (a gas bubble) for energy storage. In this study, numerical simulations were conducted to investigate the influence of aquifer's permeability, geological structure and operation parameters on the formation of gas bubble and the sustainability for the later cycling operation. The SCT (system cycle times) was designed as a parameter to evaluate the reservoir performance and the effect of operation parameters. Simulation results for pressure and gas saturation results of basic model confirm the feasibility of compressed air energy storage in aquifers. The results of different permeability cases show that, for a certain scale of CAESA system, there is an optimum permeability range for a candidate aquifer. An aquifer within this permeability range will not only satisfy the injectivity requirement but also have the best energy efficiency. Structural impact analysis indicates that the anticline structure has the best performance to hold the bubble under the same daily cycling schedule with the same initial injected air mass. In addition, our results indicate that the SCT shows a logarithmic growth as the injected air mass increase. During the formation of gas bubble, compressed air should be injected into aquifers with moderate rate and the injection can be done in several stages with different injection rate to avoid onset pressure. - Highlights: • Impact of permeability, geological structure, operation parameters was investigated. • With certain air production rate, an optimum permeability exists for performance.

  9. An innovation diffusion model of a local electricity network that is influenced by internal and external factors

    Science.gov (United States)

    Hattam, Laura; Greetham, Danica Vukadinović

    2018-01-01

    Haynes et al. (1977) derived a nonlinear differential equation to determine the spread of innovations within a social network across space and time. This model depends upon the imitators and the innovators within the social system, where the imitators respond to internal influences, whilst the innovators react to external factors. Here, this differential equation is applied to simulate the uptake of a low-carbon technology (LCT) within a real local electricity network that is situated in the UK. This network comprises of many households that are assigned to certain feeders. Firstly, travelling wave solutions of Haynes' model are used to predict adoption times as a function of the imitation and innovation influences. Then, the grid that represents the electricity network is created so that the finite element method (FEM) can be implemented. Next, innovation diffusion is modelled with Haynes' equation and the FEM, where varying magnitudes of the internal and external pressures are imposed. Consequently, the impact of these model parameters is investigated. Moreover, LCT adoption trajectories at fixed feeder locations are calculated, which give a macroscopic understanding of the uptake behaviour at specific network sites. Lastly, the adoption of LCTs at a household level is examined, where microscopic and macroscopic approaches are combined.

  10. Understanding the Influence of Psychological and Socioeconomic Factors on Diabetes Self-Care Using Structured Equation Modeling

    Science.gov (United States)

    Walker, Rebekah J.; Gebregziabher, Mulugeta; Martin-Harris, Bonnie; Egede, Leonard E.

    2014-01-01

    Objective To develop and test latent variables of the social determinants of health that influence diabetes self-care. Methods 615 adults with type 2 diabetes were recruited from two adult primary care clinics in the southeastern United States. Confirmatory factor analyses (CFA) identified the latent factors underlying socioeconomic determinants, psychosocial determinants, and self-care (diet, exercise, foot care, glucose testing, and medication adherence). Structured equation modeling (SEM) investigated the relationship between determinants and self-care. Results Latent variables were created for diabetes self-care, psychological distress, self-efficacy, social support and social status. The initial model (chi2(254)=388.04, pself-care. Social status was not significantly related to self-care (r=0.003, p=0.952). In the trimmed model (chi2(189)=211.40, p=0.126, RMSEA=0.01, CFI=0.99) lower psychological distress (r=-0.13, p=0.016), higher social support (r=0.15, p=0.007), and higher self-efficacy (r=0.47, pself-care. Conclusion Based on theoretical relationships, three latent factors that measure social determinants of health (psychological distress, social support and self-efficacy) are strongly associated with diabetes self-care. Practice Implications This suggests that social determinants should be taken into account when developing patient self-care goals. PMID:25455793

  11. Factors influencing adoption of farm management practices in three agrobiodiversity hotspots in India: an analysis using the Count Data Model

    Directory of Open Access Journals (Sweden)

    Prabhakaran T. Raghu

    2014-07-01

    Full Text Available Sustainable agricultural practices require, among other factors, adoption of improved nutrient management techniques, pest mitigation technology and soil conservation measures. Such improved management practices can be tools for enhancing crop productivity. Data on micro-level farm management practices from developing countries is either scarce or unavailable, despite the importance of their policy implications with regard to resource allocation. The present study investigates adoption of some farm management practices and factors influencing the adoption behavior of farm households in three agrobiodiversity hotspots in India: Kundra block in the Koraput district of Odisha, Meenangadi panchayat in the Wayanad district of Kerala and Kolli Hills in the Namakkal district of Tamil Nadu. Information on farm management practices was collected from November 2011 to February 2012 from 3845 households, of which the data from 2726 farm households was used for analysis. The three most popular farm management practices adopted by farmers include: application of chemical fertilizers, farm yard manure and green manure for managing nutrients; application of chemical pesticides, inter-cropping and mixed cropping for mitigating pests; and contour bunds, grass bunds and trenches for soil conservation. A Negative Binomial count data regression model was used to estimate factors influencing decision-making by farmers on farm management practices. The regression results indicate that farmers who received information from agricultural extension are statistically significant and positively related to the adoption of farm management practices. Another key finding shows the negative relationship between cultivation of local varieties and adoption of farm management practices.

  12. Towards a Model on the Factors Influencing Social App Users’ Valuation of Interdependent Privacy

    Directory of Open Access Journals (Sweden)

    Pu Yu

    2016-04-01

    Full Text Available In the context of third-party social apps, the problem of interdependency of privacy refers to users making app adoption decisions which cause the collection and utilization of personal information of users’ friends. In contrast, users’ friends have typically little or no direct influence over these decision-making processes.

  13. Factors Influencing Implementation of OHSAS 18001 in Indian Construction Organizations: Interpretive Structural Modeling Approach

    Directory of Open Access Journals (Sweden)

    Sunku Venkata Siva Rajaprasad

    2015-09-01

    Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.

  14. An improved car-following model considering influence of other factors on traffic jam

    Science.gov (United States)

    Ge, Hong-xia; Meng, Xiang-pei; Ma, Jian; Lo, Siu-ming

    2012-12-01

    In the Letter, a modified car-following model is presented, in which, the effects of vehicles (or non-motor vehicles) on other lanes without isolation belts are taken into account. The stability condition of the model is obtained by using the control theory method. To check the validity of the present theoretical scheme, the numerical simulation is carried out for the new car-following model, and the simulation result is consistent with the theoretical analysis.

  15. Factors influencing the renal arterial Doppler waveform: a simulation study using an electrical circuit model (secondary publication)

    International Nuclear Information System (INIS)

    Sung, Chang Kyu; Han, Bong Soo; Kim, Seung Hyup

    2016-01-01

    The goal of this study was to evaluate the effect of vascular compliance, resistance, and pulse rate on the resistive index (RI) by using an electrical circuit model to simulate renal blood flow. In order to analyze the renal arterial Doppler waveform, we modeled the renal blood-flow circuit with an equivalent simple electrical circuit containing resistance, inductance, and capacitance. The relationships among the impedance, resistance, and compliance of the circuit were derived from well-known equations, including Kirchhoff’s current law for alternating current circuits. Simulated velocity-time profiles for pulsatile flow were generated using Mathematica (Wolfram Research) and the influence of resistance, compliance, and pulse rate on waveforms and the RI was evaluated. Resistance and compliance were found to alter the waveforms independently. The impedance of the circuit increased with increasing proximal compliance, proximal resistance, and distal resistance. The impedance decreased with increasing distal compliance. The RI of the circuit decreased with increasing proximal compliance and resistance. The RI increased with increasing distal compliance and resistance. No positive correlation between impedance and the RI was found. Pulse rate was found to be an extrinsic factor that also influenced the RI. This simulation study using an electrical circuit model led to a better understanding of the renal arterial Doppler waveform and the RI, which may be useful for interpreting Doppler findings in various clinical settings

  16. Factors influencing pursuit of hearing evaluation: Enhancing the health belief model with perceived burden from hearing loss on communication partners.

    Science.gov (United States)

    Schulz, Kristine A; Modeste, Naomi; Lee, Jerry; Roberts, Rhonda; Saunders, Gabrielle H; Witsell, David L

    2016-07-01

    There is limited application of health behavior-based theoretical models in hearing healthcare, yet other fields utilizing these models have shown their value in affecting behavior change. The health belief model (HBM) has demonstrated appropriateness for hearing research. This study assessed factors that influence an individual with suspected hearing loss to pursue clinical evaluation, with a focus on perceived burden of hearing loss on communication partners, using the HBM as a framework. Cross-sectional design collecting demographics along with three validated hearing-loss related questionnaires. Patients from Duke University Medical Center Otolaryngology Clinic aged 55-75 years who indicated a communication partner had expressed concern about their hearing. A final sample of 413 completed questionnaire sets was achieved. The HBM model construct 'cues to action' was a significant (p communication partners was a significant (p model fit when added to the HBM: 72.0% correct prediction when burden is added versus 66.6% when not (p models in hearing healthcare is warranted.

  17. Factors Influencing Army Maintenance

    Science.gov (United States)

    1989-01-01

    Harz (1981), reports the results of questioning largc- numbers of Subject Matter Experts (SMEs) involved in the maintenance process. The second type of...identified maintenance problems (e.g., Kokenes, 1987; Harz , 1981). The second step was the identificatl i of demand factors that affect the actual...Kokenes, 1987; Harz , 1981). Second, if any of the data on which allocations are based are faulty, or budgetary decisions require a cutback in

  18. Factors influencing healthy eating habits among college students: an application of the health belief model.

    Science.gov (United States)

    Deshpande, Sameer; Basil, Michael D; Basil, Debra Z

    2009-01-01

    Poor eating habits are an important public health issue that has large health and economic implications. Many food preferences are established early, but because people make more and more independent eating decisions as they move through adolescence, the transition to independent living during the university days is an important event. To study the phenomenon of food selection, the heath belief model was applied to predict the likelihood of healthy eating among university students. Structural equation modeling was used to investigate the validity of the health belief model (HBM) among 194 students, followed by gender-based analyses. The data strongly supported the HBM. Social change campaign implications are discussed.

  19. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.

    Science.gov (United States)

    Hoque, Rakibul; Sorwar, Golam

    2017-05-01

    mHealth (mobile health) services are becoming an increasingly important form of information and communication technology (ICT) enabled delivery for healthcare, especially in low-resource environments such as developing countries like Bangladesh. Despite widespread adoption of mobile phones and the acknowledged potential of using them to improve healthcare services, the adoption and acceptance of this technology among the elderly is significantly low. However, little research has been done to draw any systematic study of the elderly's intention to adopt mHealth services. The aim of this study was to develop a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and then empirically test it for determining the key factors influencing elderly users' intention to adopt and use the mHealth services. A face-to-face structured questionnaire survey method was used to collect data from nearly 300 participants of age 60 years and above from the capital city of Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based upon Structural Equation Modeling (SEM). The study determined that performance expectancy, effort expectancy, social influence, technology anxiety, and resistance to change (p0.05). This study confirms the applicability of UTAUT model in the context of mHealth services among the elderly in developing countries like Bangladesh. It provides valuable information for mHealth service providers and policy makers in understanding the adoption challenges and the issues and also provides practical guidance for the successful implementation of mHealth services. Additionally the empirical findings identify implications related to the design and development of mHealth services that influence potential users. Furthermore, due to a generic approach, the findings of this study could be easily modified to assist other developing countries in the planning and up-take of m

  20. Removal of the pesticide tebuconazole in constructed wetlands: design comparison, influencing factors and modelling

    OpenAIRE

    Lyu, T; Zhang, L; Xu, X; Arias, CA; Brix, H; Carvalho, PN

    2018-01-01

    Constructed wetlands (CWs) are a promising technology to treat pesticide contaminated water, but its implementation is impeded by lack of data to optimize designs and operating factors. Unsaturated and saturated CW designs were used to compare the removal of triazole pesticide, tebuconazole, in unplanted mesocosms and mesocosms planted with five different plant species: Typha latifolia, Phragmites australis, Iris pseudacorus, Juncus effusus and Berula erecta. Tebuconazole removal efficiencies...

  1. Factors influencing sorption of ciprofloxacin onto activated sludge: Experimental assessment and modelling implications

    DEFF Research Database (Denmark)

    Polesel, Fabio; Lehnberg, Kai; Dott, Wolfgang

    2015-01-01

    and described, particularly for zwitterionic chemicals. Here we present an assessment of the effects of pH and iron salt dosing on the sorption of ciprofloxacin onto activated sludge using laboratory experiments and full-scale fate modelling. Experimental results were described with Freundlich isotherms...... and showed that non-linear sorption occurred under all the conditions tested. The greatest sorption potential was measured at pH = 7.4, at which ciprofloxacin is speciated mostly as zwitterion. Iron salt dosing increased sorption under aerobic and, to a lesser extent, anoxic conditions, whereas no effect...... was registered under anaerobic conditions. The activated sludge model for xenobiotics (ASM-X) was extended with Freundlich-based sorption kinetics and used to predict the fate of ciprofloxacin in a wastewater treatment plant (WWTP). Scenario simulations, using experimental Freundlich parameters, were used...

  2. Child′s dental fear: Cause related factors and the influence of audiovisual modeling

    Directory of Open Access Journals (Sweden)

    Jayanthi Mungara

    2013-01-01

    Full Text Available Background: Delivery of effective dental treatment to a child patient requires thorough knowledge to recognize dental fear and its management by the application of behavioral management techniques. Children′s Fear Survey Schedule - Dental Subscale (CFSS-DS helps in identification of specific stimuli which provoke fear in children with regard to dental situation. Audiovisual modeling can be successfully used in pediatric dental practice. Aim: To assess the degree of fear provoked by various stimuli in the dental office and to evaluate the effect of audiovisual modeling on dental fear of children using CFSS-DS. Materials and Methods: Ninety children were divided equally into experimental (group I and control (group II groups and were assessed in two visits for their degree of fear and the effect of audiovisual modeling, with the help of CFSS-DS. Results: The most fear-provoking stimulus for children was injection and the least was to open the mouth and having somebody look at them. There was no statistically significant difference in the overall mean CFSS-DS scores between the two groups during the initial session (P > 0.05. However, in the final session, a statistically significant difference was observed in the overall mean fear scores between the groups (P < 0.01. Significant improvement was seen in group I, while no significant change was noted in case of group II. Conclusion: Audiovisual modeling resulted in a significant reduction of overall fear as well as specific fear in relation to most of the items. A significant reduction of fear toward dentists, doctors in general, injections, being looked at, the sight, sounds, and act of the dentist drilling, and having the nurse clean their teeth was observed.

  3. Modeling a hierarchical structure of factors influencing exploitation policy for water distribution systems using ISM approach

    Science.gov (United States)

    Jasiulewicz-Kaczmarek, Małgorzata; Wyczółkowski, Ryszard; Gładysiak, Violetta

    2017-12-01

    Water distribution systems are one of the basic elements of contemporary technical infrastructure of urban and rural areas. It is a complex engineering system composed of transmission networks and auxiliary equipment (e.g. controllers, checkouts etc.), scattered territorially over a large area. From the water distribution system operation point of view, its basic features are: functional variability, resulting from the need to adjust the system to temporary fluctuations in demand for water and territorial dispersion. The main research questions are: What external factors should be taken into account when developing an effective water distribution policy? Does the size and nature of the water distribution system significantly affect the exploitation policy implemented? These questions have shaped the objectives of research and the method of research implementation.

  4. Modelling the factors that influence Generation Y students' attitudes towards advertising in the facebook environment / Hilda Bongazana Dondolo

    OpenAIRE

    Dondolo, Hilda Bongazana

    2014-01-01

    Previous research has provided insights into factors influencing attitudes toward advertising in general, and those factors influencing attitudes toward advertising in a particular medium. However, attitudes towards Facebook advertising, especially those of Generation Y, have received relatively little research attention, especially in the South African context. The Generation Y cohort (individuals born between 1986 and 2005) are heavy users of Facebook, and access the site on a daily basis. ...

  5. Modeling and Optimization the Influence of CO2-MAG Welding Parameters on the Weld Joint Shape Factors

    Directory of Open Access Journals (Sweden)

    Samir Ali Amin Alrabii

    2015-10-01

    Full Text Available This paper represents an experimentalattempt to predict the influence of CO2-MAG welding variables on the shape factors of the weld joint geometry. Theinput variables were welding arc voltage, wire feeding speed and gas flow rate to investigate their effects on the shape factorsof the weld joint geometry in terms of weld joint dimensions (bead width, reinforcement height, and penetration. Design of experiment with response surface methodology technique was employed to buildmathematical models for shape factors in terms of the input welding variables. Thepredicted models were found quadratic type and statistically checked by ANOVA analysis for adequacy purpose. Also, numerical and graphical optimizations were carried out to determine the optimum values for all responses and input variables. The optimum values of the voltage, wire feeding speed, gas flow rate, WPSF, and WRFF are (20 Volt, (153 cm/min, (10 L/min, (5.222, and (3.970, respectively. And, a good agreement was found between the experimental and predicted results. The weld joint efficiency was found (73% at the optimum conditions.

  6. A model for analysing factors which may influence quality management procedures in higher education

    Directory of Open Access Journals (Sweden)

    Cătălin MAICAN

    2015-12-01

    Full Text Available In all universities, the Office for Quality Assurance defines the procedure for assessing the performance of the teaching staff, with a view to establishing students’ perception as regards the teachers’ activity from the point of view of the quality of the teaching process, of the relationship with the students and of the assistance provided for learning. The present paper aims at creating a combined model for evaluation, based on Data Mining statistical methods: starting from the findings revealed by the evaluations teachers performed to students, using the cluster analysis and the discriminant analysis, we identified the subjects which produced significant differences between students’ grades, subjects which were subsequently subjected to an evaluation by students. The results of these analyses allowed the formulation of certain measures for enhancing the quality of the evaluation process.

  7. A hierarchical model of factors influencing a battery of agility tests.

    Science.gov (United States)

    Naylor, J; Greig, M

    2015-11-01

    The aim of this study was to investigate the hierarchical contributions of anthropometry, strength and cognition to a battery of prescriptive and reactive agility tests. Nineteen participants (mean±S.D.; age:22.1±1.9 years; height: 182.9±5.5 cm; body mass: 77±4.9 kg) completed four agility tests: a prescriptive linear sprint, a prescriptive change-of-direction sprint, a reactive change-of-direction sprint, and a reactive linear deceleration test. Anthropometric variables included body fat percentage and thigh girth. Strength was quantified as the peak eccentric hamstring torque at 180, 300, and 60°·s-1. Mean reaction time and accuracy in the Stroop word-colour Test was used to assess perceptual and decision making factors. There was little evidence of intertest correlation with the strongest relationship observed between 10 m sprint and t-test performance (r2=0.49, Pagility, accounting for a maximum 23% (P=0.12) in the prescriptive change-of-direction test. Cognitive measures had a stronger correlation with the reactive (rather than prescriptive) agility tests, with a maximum 33% (P=0.04) of variance accounted for in the reactive change-of-direction test. Eccentric hamstring strength accounted for 62% (P=0.01) of the variance in the prescriptive change-of-direction test. Hierarchical ordering of the agility tests revealed that eccentric hamstring strength was the primary predictor in 3 of the 4 tests, with cognitive accuracy the next most common predictor. There is little evidence of inter-test correlation across a battery of agility tests. Eccentric hamstring strength and decision making accuracy are the most common predictors of agility performance.

  8. ENERGY EFFICIENCY. TRENDS AND INFLUENCE FACTORS

    OpenAIRE

    Zizi GOSCHIN; Gheorghe ZAMAN

    2006-01-01

    Energy efficiency is correlated with many factors of influence: Gross National Income per capita, energy imports (% of energy use), renewable combustible and waste (% of total), energy use per capita, services as % of GDP and others. In this paper we are testing a model of piecewise linear regression with breakpoint in order to measure the influence of these factors on the variation of GDP per unit of energy use in Europe in the year 2003.

  9. Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study

    Directory of Open Access Journals (Sweden)

    Z. Wang

    2018-02-01

    Full Text Available Black carbon (BC has been identified to play a critical role in aerosol–planetary boundary layer (PBL interaction and further deterioration of near-surface air pollution in megacities, which has been referred to as the dome effect. However, the impacts of key factors that influence this effect, such as the vertical distribution and aging processes of BC, as well as the underlying land surface, have not been quantitatively explored yet. Here, based on available in situ measurements of meteorology and atmospheric aerosols together with the meteorology–chemistry online coupled model WRF-Chem, we conduct a set of parallel simulations to quantify the roles of these factors in influencing the BC dome effect and surface haze pollution. Furthermore, we discuss the main implications of the results to air pollution mitigation in China. We found that the impact of BC on the PBL is very sensitive to the altitude of aerosol layer. The upper-level BC, especially that near the capping inversion, is more essential in suppressing the PBL height and weakening the turbulent mixing. The dome effect of BC tends to be significantly intensified as BC mixed with scattering aerosols during winter haze events, resulting in a decrease in PBL height by more than 15 %. In addition, the dome effect is more substantial (up to 15 % in rural areas than that in the urban areas with the same BC loading, indicating an unexpected regional impact of such an effect to air quality in countryside. This study indicates that China's regional air pollution would greatly benefit from BC emission reductions, especially those from elevated sources from chimneys and also domestic combustion in rural areas, through weakening the aerosol–boundary layer interactions that are triggered by BC.

  10. Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model

    International Nuclear Information System (INIS)

    Chang, Y.H.J.; Mosleh, A.

    2007-01-01

    This is the second in a series of five papers describing the information, decision, and action in crew context (IDAC) model for human reliability analysis. An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room operating crew in accident conditions. The operator response spectrum includes cognitive, psychological, and physical activities during the course of an accident. This paper identifies the IDAC set of performance influencing factors (PIFs), providing their definitions and causal organization in the form of a modular influence diagram. Fifty PIFs are identified to support the IDAC model to be implemented in a computer simulation environment. They are classified into eleven hierarchically structured groups. The PIFs within each group are independent to each other; however, dependencies may exist between PIFs within different groups. The supporting evidence for the selection and organization of the influence paths based on psychological literature, observations, and various human reliability analysis methodologies is also indicated

  11. Factors Influencing Heart Rate Variability

    Directory of Open Access Journals (Sweden)

    Stefan Sammito

    2016-01-01

    Full Text Available The measurement and analysis of heart rate variability (HRV, which is based on the variation between consecutive NN intervals, has become an established procedure over the past two decades. A decrease in HRV has been shown to correlate with an increase in mortality. HRV is influenced by a number of physiological factors such as various diseases. Awareness of these mediators or confounders is of great importance in the analysis and assessment of HRV both in scientific studies and in clinical practice. This document, which is based on a selective survey of references and supplemented by information from national and international guidelines, presents the main endogenous, exogenous and constitutional factors. A decrease in HRV has been observed not only in connection with non-influenceable physiological factors such as age, gender and ethnic origin, but also in conjunction with a large number of acute and chronic diseases. Numerous lifestyle factors have both a positive and a negative influence on HRV. There are also physical influences that affect HRV. They must on no account be disregarded. Although the list of the factors is long and not all of them have yet been fully studied, awareness of them is of crucial importance in the measurement of HRV (both under laboratory conditions and during medical practice, its analysis and its assessment. More research also needs to be carried out to close knowledge gaps.

  12. The Depression Initiative. Description of a collaborative care model for depression and of the factors influencing its implementation in the primary care setting in the Netherlands

    NARCIS (Netherlands)

    Jong, de F.J.; Steenbergen-Weijenburg, van K.M.; Huijbregts, K.M.L.; Vlasveld, M.C.; Marwijk, van H.W.J.; Beekman, A.T.F.; Feltz - Cornelis, van der C.M.

    2009-01-01

    BACKGROUND: In the Depression Initiative, a promising collaborative care model for depression that was developed in the US was adapted for implementation in the Netherlands. AIM: Description of a collaborative care model for major depressive disorder (MDD) and of the factors influencing its

  13. Factors Influencing Healthcare Service Quality

    OpenAIRE

    Ali Mohammad Mosadeghrad

    2014-01-01

    Background The main purpose of this study was to identify factors that influence healthcare quality in the Iranian context. Methods Exploratory in-depth individual and focus group interviews were conducted with 222 healthcare stakeholders including healthcare providers, managers, policy-makers, and payers to identify factors affecting the quality of healthcare services provided in Iranian healthcare organisations. Results Quality in healthcare is a production o...

  14. Factors influencing bone scan quality

    International Nuclear Information System (INIS)

    Adams, F.G.; Shirley, A.W.

    1983-01-01

    A reliable subjective method of assessing bone scan quality is described. A large number of variables which theoretically could influence scan quality were submitted to regression and factor analysis. Obesity, age, sex and abnormality of scan were found to be significant but weak variables. (orig.)

  15. Factors Influencing Donor Partnership Effectiveness

    International Development Research Centre (IDRC) Digital Library (Canada)

    (UN Global Compact Office, 2007); and “an alliance between organizations from two or more ... programs related to the environment, global health, and ..... partnering process and the factors of influence, drawing on an example of a flagship initiative with a bilateral donor for an environment-focused program. As in most joint ...

  16. Physiological factors influencing capillary growth.

    Science.gov (United States)

    Egginton, S

    2011-07-01

    (1) Angiogenesis (growth of new capillaries from an existing capillary bed) may result from a mismatch in microvascular supply and metabolic demand (metabolic error signal). Krogh examined the distribution and number of capillaries to explore the correlation between O(2) delivery and O(2) consumption. Subsequently, the heterogeneity in angiogenic response within a muscle has been shown to reflect either differences in fibre type composition or mechanical load. However, local control leads to targetted angiogenesis in the vicinity of glycolytic fibre types following muscle stimulation, or oxidative fibres following endurance training, while heterogeneity of capillary spacing is maintained during ontogenetic growth. (2) Despite limited microscopy resolution and lack of specific markers, Krogh's interest in the structure of the capillary wall paved the way for understanding the mechanisms of capillary growth. Angiogenesis may be influenced by the response of perivascular or stromal cells (fibroblasts, macrophages and pericytes) to altered activity, likely acting as a source for chemical signals modulating capillary growth such as vascular endothelial growth factor. In addition, haemodynamic factors such as shear stress and muscle stretch play a significant role in adaptive remodelling of the microcirculation. (3) Most indices of capillarity are highly dependent on fibre size, resulting in possible bias because of scaling. To examine the consequences of capillary distribution, it is therefore helpful to quantify the area of tissue supplied by individual capillaries. This allows the spatial limitations inherent in most models of tissue oxygenation to be overcome generating an alternative approach to Krogh's tissue cylinder, the capillary domain, to improve descriptions of intracellular oxygen diffusion. © 2010 The Author. Acta Physiologica © 2010 Scandinavian Physiological Society.

  17. Factors influencing the productivity of irrigated crops in Southern Peru, in relation to prediction by simulation models

    NARCIS (Netherlands)

    Versteeg, M.N.

    1985-01-01

    The objective of the study was to determine the growth potential of alfalfa, potato, Rhodes grass and maize in the irrigated desert of S. Peru, as at that production level the highest utilization efficiency of irrigation water is usually obtained. Important growth- influencing factors were

  18. Critical factors influencing physicians' intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model.

    Science.gov (United States)

    Hsiao, Ju-Ling; Chen, Rai-Fu

    2016-01-16

    With the widespread use of information communication technologies, computerized clinical practice guidelines are developed and considered as effective decision supporting tools in assisting the processes of clinical activities. However, the development of computerized clinical practice guidelines in Taiwan is still at the early stage and acceptance level among major users (physicians) of computerized clinical practice guidelines is not satisfactory. This study aims to investigate critical factors influencing physicians' intention to computerized clinical practice guideline use through an integrative model of activity theory and the technology acceptance model. The survey methodology was employed to collect data from physicians of the investigated hospitals that have implemented computerized clinical practice guidelines. A total of 505 questionnaires were sent out, with 238 completed copies returned, indicating a valid response rate of 47.1 %. The collected data was then analyzed by structural equation modeling technique. The results showed that attitudes toward using computerized clinical practice guidelines (γ = 0.451, p practice guidelines (γ = 0.219, p practice guidelines, and these factors can explain 68.6 % of the variance in intention to use computerized clinical practice guidelines. This study confirmed that some subject (human) factors, environment (organization) factors, tool (technology) factors mentioned in the activity theory should be carefully considered when introducing computerized clinical practice guidelines. Managers should pay much attention on those identified factors and provide adequate resources and incentives to help the promotion and use of computerized clinical practice guidelines. Through the appropriate use of computerized clinical practice guidelines, the clinical benefits, particularly in improving quality of care and facilitating the clinical processes, will be realized.

  19. Factors influencing transfection efficiency of pIDUA/nanoemulsion complexes in a mucopolysaccharidosis type I murine model

    Directory of Open Access Journals (Sweden)

    Fraga M

    2017-03-01

    caused by the treatment. The data set obtained in this study allowed establishing that factors such as dose and time can influence transfection efficiency in different degrees and that these complexes did not lead to any lethal effect in the MPS I murine model used. Keywords: cationic nanoemulsions, DSPE-PEG, MPS I, plasmid, pIDUA

  20. Factors Influencing Adoption of Cocoa Technologies Disseminated ...

    African Journals Online (AJOL)

    The study was undertaken to determine factors influencing adoption of cocoa technologies disseminated by Olam organization to cocoa farmers in Ondo State, Nigeria. Data for the study were collected from thirty cocoa farmers (Olam's model farmers) through the use of structured interview schedule. Data were analyzed ...

  1. Factors Influencing New Business Formation

    Directory of Open Access Journals (Sweden)

    Andreea-Oana Iacobuţă

    2016-05-01

    Full Text Available The purpose of this study is to identify the factors that influence the creation of new businesses and to point out both the differences and the similarities existing between countries and groups of countries in terms of these influencing factors. We are mainly interested in the place Romania and Bulgaria have among the countries of the world from the perspective of entrepreneurial spirit and its influencing factors. To capture the level of business formation we use New business density from World Bank Doing business. Drawing on the existing literature we consider for our analysis several indicators related to economic environment such as GDP per capita, unemployment rate, inflation rate, the level of taxes, foreign direct investments and public debt and indicators describing the quality of governance. The research uses 2014 data for 67 countries, from all development categories, collected from Heritage Foundation database. The research results obtained with principal components analysis show that good governance results in higher levels of GDP per capita and income taxes and the increase of the level of business formation. Also, good governance leads to a decrease in inflation and unemployment. Furthermore, the hierarchical cluster analysis is used to identify groups of countries and to outline similarities and differences between them.

  2. Factors Influencing Medical Students' Choice of Specialty

    OpenAIRE

    Chang, Pei-Yeh; Hung, Chih-Young; Wang, Kuei-lng; Huang, Yuan-Huei; Chang, King-Jen

    2006-01-01

    Medical school graduates are the source of a country's physicians. Determining how the graduates of these schools select their areas of specialization is the key to achieving a balanced distribution of doctors among all specialties. The purposes of this study were to determine the factors that influence medical students' choice of medical specialty, and to derive the relative weight of each factor. Methods: We constructed a two-tiered analytic hierarchy process (AHP) model which was repres...

  3. [A study of factors influencing on health promoting lifestyle in the elderly--application of Pender's health promotion model].

    Science.gov (United States)

    Seo, Hyun Mi; Hah, Yang Sook

    2004-12-01

    The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. The average item score for the health promoting lifestyle was 2.46. The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2.36) and stress management(2.36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for 64.3% of the variance in health promoting lifestyle in the elderly. The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.

  4. Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

    Directory of Open Access Journals (Sweden)

    Jinchao Li

    2018-01-01

    Full Text Available Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have positive influences on electric grid investment demand, but the impact of population scale, social electricity consumption, and installed electrical capacity on electric grid investment is not remarkable. We divide different regions in China into the eastern region, central region, and western region to analyze influence factors of electric grid investment, finally obtaining key factors in the eastern, central, and western regions. In the end, according to the analysis of key factors, we make a prediction about China’s electric grid investment for 2020 in different scenarios. The results offer a certain understanding for the development trend of China’s electric grid investment and contribute to the future development of electric grid investment.

  5. Multi-level modelling of the factors that influence the participation of disabled rural individuals in social medical insurance in China

    Science.gov (United States)

    2013-01-01

    Background The Second China National Sample Survey on Disability in 2006 showed that the participation rate of disabled Chinese rural individuals in social medical insurance participation was less than 30%. However, there has been limited number of studies on the influencing factors, especially contextual factors, affecting their participation in social medical insurance. Therefore, this study aimed to analyze the factors influencing the participation of disabled rural individuals in social medical insurance, including contextual factors. Methods Based on data derived from the Second China National Sample Survey on Disability, chi-square test and two-level logistic regression model were used to analyze the influencing factors. Results The results showed that the disabled rural individuals in the New Rural Cooperative Medical System pilot counties who lived in communities with rehabilitation stations or with higher per capita income of villagers were more likely to participate in the social medical insurance. Meanwhile, those employed, with less severe disability degree or with less severe barriers in participation in society were more likely to participate in the social medical insurance. Conclusions Contextual factors including economic and policy contexts were important factors influencing their participation in social medical insurance before 2006 in China. Unemployment, severer disability degree and social isolation might also prevent them from gaining equal access to social medical insurance. PMID:23402275

  6. College factors that influence drinking.

    Science.gov (United States)

    Presley, Cheryl A; Meilman, Philip W; Leichliter, Jami S

    2002-03-01

    The purpose of this article is to examine the aspects of collegiate environments, rather than student characteristics, that influence drinking. Unfortunately, the existing literature is scant on this topic. A literature review of articles primarily published within the last 10 years, along with some earlier "landmark" studies of collegiate drinking in the United States, was conducted to determine institutional factors that influence the consumption of alcohol. In addition, a demonstration analysis of Core Alcohol and Drug Survey research findings was conducted to further elucidate the issues. Several factors have been shown to relate to drinking: (1) organizational property variables of campuses, including affiliations (historically black institutions, women's institutions), presence of a Greek system, athletics and 2- or 4-year designation; (2) physical and behavioral property variables of campuses, including type of residence, institution size, location and quantity of heavy episodic drinking; and (3) campus community property variables, including pricing and availability and outlet density. Studies, however, tend to look at individual variables one at a time rather than in combination (multivariate analyses). Some new analyses, using Core Alcohol and Drug Survey data sets, are presented as examples of promising approaches to future research. Given the complexities of campus environments, it continues to be a challenge to the field to firmly establish the most compelling institutional and environmental factors relating to high-risk collegiate drinking.

  7. Factors Influencing Self-Regulation in E-learning 2.0: Confirmatory Factor Model | Facteurs qui influencent la maîtrise de soi en cyberapprentissage 2.0 : modèle de facteur confirmative

    Directory of Open Access Journals (Sweden)

    Hong Zhao

    2016-04-01

    Full Text Available The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners’ self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners’ self-regulated abilities in e-learning. For students, what and how to learn are largely predetermined by the learning environment provided by their institutions. Environmental determinants play a key role in shaping self-regulation in the learning process. This paper reports a study on the influences of the e-learning 2.0 environment on self-regulation. The study identified the factors that influence self-regulation in such an environment and determine the relationships between the factors and self-regulation. A theoretical model to categorize the success factors for self-regulated learning was proposed for this kind of environment. Based on the model, a questionnaire was designed and administered to more than two hundred and fifty distance learning students in Beijing and Hong Kong. Through structural equation modeling (SEM technique, relationships between environmental factors and self-regulation were analyzed. Statistical results showed that several factors affect self-regulation in the e-learning 2.0 environment. They include system quality, information quality, service quality, and user satisfaction. L’importance de la maîtrise de soi en cyberapprentissage a été bien étudiée. Les études pertinentes ont démontré une corrélation positive uniforme entre la maîtrise de soi des apprenants et leurs taux de réussite en apprentissage en ligne. Une attention croissante a été portée au développement des aptitudes de maîtrise de soi des élèves en cyberapprentissage. Pour les élèves, quoi apprendre et comment sont des questions principalement prédéterminées par l’environnement d’apprentissage qu’offrent leurs établissements. Les d

  8. Factors Influencing Healthcare Service Quality

    Directory of Open Access Journals (Sweden)

    Ali Mohammad Mosadeghrad

    2014-07-01

    Full Text Available Background The main purpose of this study was to identify factors that influence healthcare quality in the Iranian context. Methods Exploratory in-depth individual and focus group interviews were conducted with 222 healthcare stakeholders including healthcare providers, managers, policy-makers, and payers to identify factors affecting the quality of healthcare services provided in Iranian healthcare organisations. Results Quality in healthcare is a production of cooperation between the patient and the healthcare provider in a supportive environment. Personal factors of the provider and the patient, and factors pertaining to the healthcare organisation, healthcare system, and the broader environment affect healthcare service quality. Healthcare quality can be improved by supportive visionary leadership, proper planning, education and training, availability of resources, effective management of resources, employees and processes, and collaboration and cooperation among providers. Conclusion This article contributes to healthcare theory and practice by developing a conceptual framework that provides policy-makers and managers a practical understanding of factors that affect healthcare service quality.

  9. Telehealth services in rural and remote Australia: a systematic review of models of care and factors influencing success and sustainability.

    Science.gov (United States)

    Bradford, Natalie K; Caffery, Liam J; Smith, Anthony C

    2016-01-01

    With the escalating costs of health care, issues with recruitment and retention of health practitioners in rural areas, and poor economies of scale, the question of delivering people to services or services to people is a dilemma for health authorities around the world. People living in rural areas have poorer health outcomes compared to their urban counterparts, and the problem of how to provide health care and deliver services in rural locations is an ongoing challenge. Telehealth services can efficiently and effectively improve access to healthcare for people living in rural and remote areas of Australia. However, telehealth services are not mainstream or routinely available in many rural and remote locations. The barriers to integration of telehealth into mainstream practice have been well described, but not the factors that may influence the success and sustainability of a service. Our aim was to collate, review and synthesise the available literature regarding telehealth services in rural and remote locations of Australia, and to identify the factors associated with their sustained success. A systematic literature review of peer-reviewed and grey literature was undertaken. Electronic databases were searched for potentially relevant articles. Reference lists of retrieved articles and the grey literature were also searched. Searches identified 970 potentially eligible articles published between 1988 and 2015. Studies and manuscripts of any type were included if they described telehealth services (store-and-forward or real-time videoconferencing) to provide clinical service or education and training related to health care in rural or remote locations of Australia. Data were extracted according to pre-defined criteria and checked for completeness and accuracy by a second reviewer. Any disagreements were resolved with discussion with a third researcher. All articles were appraised for quality and levels of evidence. Data were collated and grouped into categories

  10. Factors influencing pacing in triathlon

    Directory of Open Access Journals (Sweden)

    Wu SSX

    2014-09-01

    Full Text Available Sam SX Wu,1 Jeremiah J Peiffer,2 Jeanick Brisswalter,3 Kazunori Nosaka,1 Chris R Abbiss1 1Centre for Exercise and Sports Science Research, School of Exercise and Health Sciences, Edith Cowan University, Perth, WA, Australia; 2School of Psychology and Exercise Science, Murdoch University, Perth, WA, Australia; 3Laboratory of Human Motricity, Education Sport and Health, University of Nice Sophia Antipolis, Nice, France Abstract: Triathlon is a multisport event consisting of sequential swim, cycle, and run disciplines performed over a variety of distances. This complex and unique sport requires athletes to appropriately distribute their speed or energy expenditure (ie, pacing within each discipline as well as over the entire event. As with most physical activity, the regulation of pacing in triathlon may be influenced by a multitude of intrinsic and extrinsic factors. The majority of current research focuses mainly on the Olympic distance, whilst much less literature is available on other triathlon distances such as the sprint, half-Ironman, and Ironman distances. Furthermore, little is understood regarding the specific physiological, environmental, and interdisciplinary effects on pacing. Therefore, this article discusses the pacing strategies observed in triathlon across different distances, and elucidates the possible factors influencing pacing within the three specific disciplines of a triathlon. Keywords: cycle, endurance, multisport, pacing strategy, run, swim

  11. Effects of attitude, social influence, and self-efficacy model factors on regular mammography performance in life-transition aged women in Korea.

    Science.gov (United States)

    Lee, Chang Hyun; Kim, Young Im

    2015-01-01

    This study analyzed predictors of regular mammography performance in Korea. In addition, we determined factors affecting regular mammography performance in life-transition aged women by applying an attitude, social influence, and self-efficacy (ASE) model. Data were collected from women aged over 40 years residing in province J in Korea. The 178 enrolled subjects provided informed voluntary consent prior to completing a structural questionnaire. The overall regular mammography performance rate of the subjects was 41.6%. Older age, city residency, high income and part-time job were associated with a high regular mammography performance. Among women who had undergone more breast self-examinations (BSE) or more doctors' physical examinations (PE), there were higher regular mammography performance rates. All three ASE model factors were significantly associated with regular mammography performance. Women with a high level of positive ASE values had a significantly high regular mammography performance rate. Within the ASE model, self-efficacy and social influence were particularly important. Logistic regression analysis explained 34.7% of regular mammography performance and PE experience (β=4.645, p=.003), part- time job (β=4.010, p=.050), self-efficacy (β=1.820, p=.026) and social influence (β=1.509, p=.038) were significant factors. Promotional strategies that could improve self-efficacy, reinforce social influence and reduce geographical, time and financial barriers are needed to increase the regular mammography performance rate in life-transition aged.

  12. Factors that influence women's dispositions toward science

    Science.gov (United States)

    Atria, Catherine Graczyk

    Females have been underrepresented in the study of science and science careers for decades although advancements have been made in closing this gender gap, the gap persists particularly in the physical sciences. Variables which influence a woman's desire to pursue and maintain a science course of study and career must be discovered. The United States lags behind other industrialized countries in the fields of science, math, and engineering. Females comprise an estimated half of the population; their potential contributions cannot be ignored or overlooked. This retrospective research study explores the personal experiences of ten women enrolled in science majors, with science related career plans. The goal of this study is to describe the factors that influence the participants' interest in science. The findings, the effect of science coursework, science teachers' personality and manner, other influential educational personnel, role models and mentors, external influences exclusive of school, parental influence, locus of control and positive attitudes toward science confirm what other researchers have found.

  13. Factors Influencing Learner Permit Duration

    Directory of Open Access Journals (Sweden)

    Johnathon P. Ehsani

    2016-12-01

    Full Text Available An increasing number of countries are requiring an extended learner permit prior to independent driving. The question of when drivers begin the learner permit period, and how long they hold the permit before advancing to independent licensure has received little research attention. Licensure timing is likely to be related to “push” and “pull” factors which may encourage or inhibit the process. To examine this question, we recruited a sample of 90 novice drivers (49 females and 41 males, average age of 15.6 years soon after they obtained a learner permit and instrumented their vehicles to collect a range of driving data. Participants completed a series of surveys at recruitment related to factors that may influence licensure timing. Two distinct findings emerged from the time-to-event analysis that tested these push and pull factors in relation to licensure timing. The first can be conceptualized as teens’ motivation to drive (push, reflected in a younger age when obtaining a learner permit and extensive pre-permit driving experience. The second finding was teens’ perceptions of their parents’ knowledge of their activities (pull; a proxy for a parents’ attentiveness to their teens’ lives. Teens who reported higher levels of their parents’ knowledge of their activities took longer to advance to independent driving. These findings suggest time-to-licensure may be related to teens’ internal motivation to drive, and the ability of parents to facilitate or impede early licensure.

  14. Analysis of Influencing Factors of Water Footprint Based on the STIRPAT Model: Evidence from the Beijing Agricultural Sector

    Directory of Open Access Journals (Sweden)

    Chen Jin

    2016-11-01

    Full Text Available Beijing suffers from a severe water shortage. To find the key factors that impact the agricultural water footprint (WF within Beijing to relieve the pressure on water resources, this study quantifies the agricultural WF within Beijing from 1980 to 2012 and examines the factors of population, urbanization level, GDP per capita, Engel coefficient, and total rural power using an extended stochastic impact by regression on population, affluence and technology (STIRPAT model. Ridge regression is employed to fit the extended STIRPAT model. The empirical results reveal that the Engel coefficient, which is defined as the total amount of food expenses accounted for the proportion of total personal consumption expenditures, has the largest positive impact on the increase in the agricultural WF, followed by urbanization. In contrast, total rural power, population, and GDP per capita can decrease the agricultural WF. Finally, policy recommendations from technological development, agriculture plantation structure adjustment, and virtual water imports are provided to cope with water shortages.

  15. Multiparameter models in the management of the development of territories, taking into account the influence of hydrometeorological factors

    Science.gov (United States)

    Istomin, E. P.; Popov, N. N.; Sokolov, A. G.; Fokicheva, A. A.

    2018-01-01

    The article considers the geoinformation management of the territory as a way to manage the organizational and technical systems and territories distributed in space. The article describes the main factors for the development and implementation of management decisions, requirements for the territorial management system and the structure of knowledge and data. Mathematical one-parameter and multiparameter models of risk assessment of management decisions applied to the natural and climatic potential of the development of the territory were considered.

  16. Research on the influencing factors of financing efficiency of big data industry based on panel data model--Empirical evidence from Guizhou province

    Science.gov (United States)

    Li, Chenggang; Feng, Yujia

    2018-03-01

    This paper mainly studies the influence factors of financing efficiency of Guizhou big data industry, and selects the financial and macro data of 20 Guizhou big data enterprises from 2010 to 2016. Using the DEA model to obtain the financing efficiency of Guizhou big data enterprises. A panel data model is constructed to select the six macro and micro influencing factors for panel data analysis. The results show that the external economic environment, the turnover rate of the total assets of the enterprises, the increase of operating income, the increase of the revenue per share of each share of the business income have positive impact on the financing efficiency of of the big data industry in Guizhou. The key to improve the financing efficiency of Guizhou big data enterprises is to improve.

  17. Study of depression influencing factors with zero-inflated regression models in a large-scale population survey.

    Science.gov (United States)

    Xu, Tao; Zhu, Guangjin; Han, Shaomei

    2017-11-28

    The number of depression symptoms can be considered as count data in order to get complete and accurate analyses findings in studies of depression. This study aims to compare the goodness of fit of four count outcomes models by a large survey sample to identify the optimum model for a risk factor study of the number of depression symptoms. 15 820 subjects, aged 10 to 80 years old, who were not suffering from serious chronic diseases and had not run a high fever in the past 15 days, agreed to take part in this survey; 15 462 subjects completed all the survey scales. The number of depression symptoms was the sum of the 'positive' responses of seven depression questions. Four count outcomes models and a logistic model were constructed to identify the optimum model of the number of depression symptoms. The mean number of depression symptoms was 1.37±1.55. The over-dispersion test statistic O was 308.011. The alpha dispersion parameter was 0.475 (95% CI 0.443 to 0.508), which was significantly larger than 0. The Vuong test statistic Z was 6.782 and the P value was zero counts to be accounted for with traditional negative binomial distribution. The zero-inflated negative binomial (ZINB) model had the largest log likelihood and smallest AIC and BIC, suggesting best goodness of fit. In addition, predictive probabilities for many counts in the ZINB model fitted the observed counts best. All fitting test statistics and the predictive probability curve produced the same findings that the ZINB model was the best model for fitting the number of depression symptoms, assessing both the presence or absence of depression and its severity. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  18. Calcareous Bio-Concretions in the Northern Adriatic Sea: Habitat Types, Environmental Factors that Influence Habitat Distributions, and Predictive Modeling.

    Science.gov (United States)

    Falace, Annalisa; Kaleb, Sara; Curiel, Daniele; Miotti, Chiara; Galli, Giovanni; Querin, Stefano; Ballesteros, Enric; Solidoro, Cosimo; Bandelj, Vinko

    2015-01-01

    Habitat classifications provide guidelines for mapping and comparing marine resources across geographic regions. Calcareous bio-concretions and their associated biota have not been exhaustively categorized. Furthermore, for management and conservation purposes, species and habitat mapping is critical. Recently, several developments have occurred in the field of predictive habitat modeling, and multiple methods are available. In this study, we defined the habitats constituting northern Adriatic biogenic reefs and created a predictive habitat distribution model. We used an updated dataset of the epibenthic assemblages to define the habitats, which we verified using the fuzzy k-means (FKM) clustering method. Redundancy analysis was employed to model the relationships between the environmental descriptors and the FKM membership grades. Predictive modelling was carried out to map habitats across the basin. Habitat A (opportunistic macroalgae, encrusting Porifera, bioeroders) characterizes reefs closest to the coastline, which are affected by coastal currents and river inputs. Habitat B is distinguished by massive Porifera, erect Tunicata, and non-calcareous encrusting algae (Peyssonnelia spp.). Habitat C (non-articulated coralline, Polycitor adriaticus) is predicted in deeper areas. The onshore-offshore gradient explains the variability of the assemblages because of the influence of coastal freshwater, which is the main driver of nutrient dynamics. This model supports the interpretation of Habitat A and C as the extremes of a gradient that characterizes the epibenthic assemblages, while Habitat B demonstrates intermediate characteristics. Areas of transition are a natural feature of the marine environment and may include a mixture of habitats and species. The habitats proposed are easy to identify in the field, are related to different environmental features, and may be suitable for application in studies focused on other geographic areas. The habitat model outputs

  19. Calcareous Bio-Concretions in the Northern Adriatic Sea: Habitat Types, Environmental Factors that Influence Habitat Distributions, and Predictive Modeling.

    Directory of Open Access Journals (Sweden)

    Annalisa Falace

    Full Text Available Habitat classifications provide guidelines for mapping and comparing marine resources across geographic regions. Calcareous bio-concretions and their associated biota have not been exhaustively categorized. Furthermore, for management and conservation purposes, species and habitat mapping is critical. Recently, several developments have occurred in the field of predictive habitat modeling, and multiple methods are available. In this study, we defined the habitats constituting northern Adriatic biogenic reefs and created a predictive habitat distribution model. We used an updated dataset of the epibenthic assemblages to define the habitats, which we verified using the fuzzy k-means (FKM clustering method. Redundancy analysis was employed to model the relationships between the environmental descriptors and the FKM membership grades. Predictive modelling was carried out to map habitats across the basin. Habitat A (opportunistic macroalgae, encrusting Porifera, bioeroders characterizes reefs closest to the coastline, which are affected by coastal currents and river inputs. Habitat B is distinguished by massive Porifera, erect Tunicata, and non-calcareous encrusting algae (Peyssonnelia spp.. Habitat C (non-articulated coralline, Polycitor adriaticus is predicted in deeper areas. The onshore-offshore gradient explains the variability of the assemblages because of the influence of coastal freshwater, which is the main driver of nutrient dynamics. This model supports the interpretation of Habitat A and C as the extremes of a gradient that characterizes the epibenthic assemblages, while Habitat B demonstrates intermediate characteristics. Areas of transition are a natural feature of the marine environment and may include a mixture of habitats and species. The habitats proposed are easy to identify in the field, are related to different environmental features, and may be suitable for application in studies focused on other geographic areas. The habitat

  20. Cox Regression and Parametric Models: Comparison of How They Determine Factors Influencing Survival of Patients with Non-Small Cell Lung Carcinoma

    Science.gov (United States)

    Khaksar, Elahe; Askarishahi, Mohsen; Hekmatimoghaddam, Seyedhossein; Vahedian-Ardakani, Hassanali

    2017-12-29

    Background and objectives: The present study of survival rate of patients with non-small cell carcinoma (NSCLC) compared the efficiency of Cox semi-parametric vs. parametric models in determination of influencing factors. Methods: In this retrospective cohort study, data were gathered from 190 patients with a confirmed diagnosis of NSCLC referred to Shahid Sadoughi and Shohadaye Kargar Hospitals in Yazd, Iran during 2005 to 2014. To identify and compare factors influencing the survival rate, a Cox semi-parametric model was fitted to the data. Data analysis was performed using the R software version R3.3.1, and the significance level was set at 0.05. Results: The average age was 64.5 years. About 40% of patients had stage 4 disease. The median survival was 8 months. After comparing the models, the more efficient was the log-normal distribution (AIC=889.3829), with which disease stage, type of therapy, and age were significant factors. Among the different types of therapy, chemotherapy and radiotherapy yielded higher survival rates, and increased age was associated with lower survival. Conclusion: The most efficient model was a log-normal model. Implementation of optimal therapies at early stages can improve the survival of patients. Creative Commons Attribution License

  1. Application of artificial neural network model for groundwater level forecasting in a river island with artificial influencing factors

    Science.gov (United States)

    Lee, Sanghoon; Yoon, Heesung; Park, Byeong-Hak; Lee, Kang-Kun

    2017-04-01

    Groundwater use has been increased for various purposes like agriculture, industry or drinking water in recent years, the issue related to sustainability on the groundwater use also has been raised. Accordingly, forecasting the groundwater level is of great importance for planning sustainable use of groundwater. In a small island surrounded by the Han River, South Korea, seasonal fluctuation of the groundwater level is characterized by multiple factors such as recharge/discharge event of the Paldang dam, Water Curtain Cultivation (WCC) during the winter season, operation of Groundwater Heat Pump System (GWHP). For a period when the dam operation is only occurred in the study area, a prediction of the groundwater level can be easily achieved by a simple cross-correlation model. However, for a period when the WCC and the GWHP systems are working together, the groundwater level prediction is challenging due to its unpredictable operation of the two systems. This study performed Artificial Neural Network (ANN) model to forecast the groundwater level in the river area reflecting the various predictable/unpredictable factors. For constructing the ANN models, two monitoring wells, YSN1 and YSO8, which are located near the injection and abstraction wells for the GWHP system were selected, respectively. By training with the groundwater level data measured in January 2015 to August 2015, response of groundwater level by each of the surface water level, the WCC and the GWHP system were evaluated. Consequentially, groundwater levels in December 2015 to March 2016 were predicted by ANN models, providing optimal fits in comparison to the observed water levels. This study suggests that the ANN model is a useful tool to forecast the groundwater level in terms of the management of groundwater. Acknowledgement : Financial support was provided by the "R&D Project on Environmental Management of Geologic CO2 Storage" from the KEITI (Project Number: 2014001810003) This research was

  2. Factors that influence peripheral nerve regeneration

    DEFF Research Database (Denmark)

    Krarup, Christian; Archibald, Simon J; Madison, Roger D

    2002-01-01

    median nerve lesions (n = 46) in nonhuman primates over 3 to 4 years, a time span comparable with such lesions in humans. Nerve gap distances of 5, 20, or 50mm were repaired with nerve grafts or collagen-based nerve guide tubes, and three electrophysiological outcome measures were followed: (1) compound...... predictors. Thus, nerve gap distance and repair type exert their influence through time to muscle reinnervation. These findings emphasize that factors that control early axonal outgrowth influence the final level of recovery attained years later. They also highlight that a time window exists within which...... muscle action potentials in the abductor pollicis brevis muscle, (2) the number and size of motor units in reinnervated muscle, and (3) compound sensory action potentials from digital nerve. A statistical model was used to assess the influence of three variables (repair type, nerve gap distance, and time...

  3. Investigating different factors influencing on brand equity

    Directory of Open Access Journals (Sweden)

    Afsane Zamanimoghadam

    2014-07-01

    Full Text Available The purpose of this paper is to determine and prioritize factors influencing on brand equity in consumer’s point of view for a case study of Samsung appliance consumers in city of Tehran, Iran. The study investigates the effects of four factors in terms of the customer's perspective, price, advertisement, family and brand image, by dimensions of brand equity, perceived quality, brand awareness, brand association, brand loyalty, on brand equity. The research method is based on a descriptive-survey research. The questionnaire includes Samsung consumers in city of Tehran, Iran. To test the hypotheses, SPSS and LISREL software packages are used. For data analysis, descriptive statistics and inferential statistical tests including structural equation modeling and path analysis are used. The results of the survey have indicated that family and brand image influence positively on brand equity but the effects of advertisement and price on brand equity were not confirmed.

  4. Analysis of the flood extent extraction model and the natural flood influencing factors: A GIS-based and remote sensing analysis

    Science.gov (United States)

    Lawal, D. U.; Matori, A. N.; Yusuf, K. W.; Hashim, A. M.; Balogun, A. L.

    2014-02-01

    Serious floods have hit the State of Perlis in 2005, 2010, as well as 2011. Perlis is situated in the northern part of Peninsula Malaysia. The floods caused great damage to properties and human lives. There are various methods used in an attempt to provide the most reliable ways to reduce the flood risk and damage to the optimum level by identifying the flood vulnerable zones. The purpose of this paper is to develop a flood extent extraction model based on Minimum Distance Algorithm and to overlay with the natural flood influencing factors considered herein in order to examine the effect of each factor in flood generation. GIS spatial database was created from a geological map, SPOT satellite image, and the topographical map. An attribute database was equally created from field investigations and historical flood areas reports of the study area. The results show a great correlation between the flood extent extraction model and the flood factors.

  5. Analysis of the flood extent extraction model and the natural flood influencing factors: A GIS-based and remote sensing analysis

    International Nuclear Information System (INIS)

    Lawal, D U; Matori, A N; Yusuf, K W; Hashim, A M; Balogun, A L

    2014-01-01

    Serious floods have hit the State of Perlis in 2005, 2010, as well as 2011. Perlis is situated in the northern part of Peninsula Malaysia. The floods caused great damage to properties and human lives. There are various methods used in an attempt to provide the most reliable ways to reduce the flood risk and damage to the optimum level by identifying the flood vulnerable zones. The purpose of this paper is to develop a flood extent extraction model based on Minimum Distance Algorithm and to overlay with the natural flood influencing factors considered herein in order to examine the effect of each factor in flood generation. GIS spatial database was created from a geological map, SPOT satellite image, and the topographical map. An attribute database was equally created from field investigations and historical flood areas reports of the study area. The results show a great correlation between the flood extent extraction model and the flood factors

  6. Factors that influence nurses' customer orientation.

    Science.gov (United States)

    Darby, D N; Daniel, K

    1999-09-01

    Hospital care mostly involves complex processes that are continuously adjusted to match individual client needs. As most patients cannot evaluate the technology used, they focus on personal interactions with care providers when making judgements about the care received. Nurses are the care team members that primarily provide ongoing care. This study aims to further understand factors that influence the way nursing staff relate to their patients. A model is presented of the contextual and self-perceptual factors that influence the level of customer/client orientation of nursing services in an Australian hospital setting along with details of a quantitative study. Nurses completed an anonymous questionnaire, which was then mailed directly to the researchers. Analysis of the data included factor analysis, regression and path analysis. The results show that contextual elements such as management commitment to service quality and self-perceptual factors such as role stress impact on the nurses' client service orientation. However, the variables being studied commonly have both direct and indirect effects with feelings about commitment to the organization having a notable mediating influence. The scales adapted from use in other industries are able to measure the perceptual and outcome variables in a health institutional setting. The managerial implications are that both a comprehensive programme of organizational culture and individual staff member development is needed if an enhanced customer orientation and the consequent improvement in client satisfaction with nursing care is to occur.

  7. Development of models of assessment of influence of human factor upon innovation development of railroad transport enterprises

    Directory of Open Access Journals (Sweden)

    Samsonkin Valerii M.

    2014-01-01

    Full Text Available Changes in the socio-economic environment of functioning of railroad companies and corresponding transition to market economic conditions make us deeply reconsider our relation to the human factor as the main source of increase of the level of efficiency of both individual railroad enterprises and companies in general. But, apart from exclusively humanistic (evolution relation to this process, it is necessary to find means of formalisation of professional activity of a person or certification of personnel. The article is devoted to the above stated issues. In the result of the study the article develops a model of analysis of professional activity of a person at railroad transport, which gives a possibility to numerically determine the level of intellectual, social and physical components of the human factor and also to identify directions and efficiency of investing and a model of determination of the number, which ensures optimisation of the number of personnel of enterprises and structural subdivisions. In order to identify the most significant resources that are connected with personnel, time, place, method, motivation type, obtained effect and intensity of railroad transport operation the article offers to analyse results of professional activity of personnel of each structural subdivision by the “what” is created / developed / performed (regarding professional activity, “where” (enterprise name and its subordination,“when” and “who” created (developed / performed and “how” and “why” scheme.

  8. Factors influencing boar sperm cryosurvival.

    Science.gov (United States)

    Roca, J; Hernández, M; Carvajal, G; Vázquez, J M; Martínez, E A

    2006-10-01

    Optimal sperm cryopreservation is a prerequisite for the sustainable commercial application of frozen-thawed boar semen for AI. Three experiments were performed to identify factors influencing variability of postthaw sperm survival among 464 boar ejaculates. Sperm-rich ejaculate fractions were cryopre-served using a standard freezing-thawing procedure for 0.5-mL plastic straws and computer-controlled freezing equipment. Postthaw sperm motility (assessed with a computer-assisted semen analysis system) and viability (simultaneously probed by flow cytometry analysis after triple-fluorescent stain), evaluated 30 and 150 min postthaw, were used to estimate the success of cryopreservation. In the first experiment, 168 unselected ejaculates (1 ejaculate/boar), from boars of 6 breeds with a wide age range (8 to 48 mo), were cryopreserved over a 12-mo period to evaluate the predictive value of boar (breed and age), semen collection, transport variables (season of ejaculate collection, interval between collections, and ejaculate temperature exposure), initial semen traits, and sperm quality before freezing on sperm survival after freezing-thawing. In Exp. 2, 4 ejaculates from each of 29 boars, preselected according to their initial semen traits and sperm quality before freezing, were collected and frozen over a 6-mo period to evaluate the influence of interboar and intraboar ejaculate variability in the survival of sperm after cryopreservation. In Exp. 3, 12 ejaculates preselected as for Exp. 2, from each of 15 boars with known good sperm cryosurvival, were collected and frozen over a 12-mo period to estimate the sustainability of sperm cryosurvival between ejaculates over time. Boar and semen collection and transport variables were not predictive of sperm cryosurvival among ejaculates. Initial semen traits and sperm quality variables observed before freezing explained 23.2 and 10.9%, respectively, of the variation in postthaw sperm motility and viability. However, more that

  9. Regional accumulation characteristics of cadmium in vegetables: Influencing factors, transfer model and indication of soil threshold content.

    Science.gov (United States)

    Yang, Yang; Chen, Weiping; Wang, Meie; Peng, Chi

    2016-12-01

    A regional investigation in the Youxian prefecture, southern China, was conducted to analyze the impact of environmental factors including soil properties and irrigation in conjunction with the use of fertilizers on the accumulation of Cd in vegetables. The Cd transfer potential from soil to vegetable was provided by the plant uptake factor (PUF), which varied by three orders of magnitude and was described by a Gaussian distribution model. The soil pH, content of soil organic matter (SOM), concentrations of Zn in the soil, pH of irrigation water and nitrogenous fertilizers contributed significantly to the PUF variations. A path model analysis, however, revealed the principal control of the PUF values resulted from the soil pH, soil Zn concentrations and SOM. Transfer functions were developed using the total soil Cd concentrations, soil pH, and SOM. They explained 56% of the variance for all samples irrespective of the vegetable genotypes. The transfer functions predicted the probability of exceeding China food safety standard concentrations for Cd in four major consumable vegetables under different soil conditions. Poor production practices in the study area involved usage of soil with pH values ≤ 5.5, especially for the cultivation of Raphanus sativus L., even with soil Cd concentrations below the China soil quality standard. We found the soil standard Cd concentrations for cultivating vegetables was not strict enough for strongly acidic (pH ≤ 5.5) and SOM-poor (SOM ≤ 10 g kg -1 ) soils present in southern China. It is thus necessary to address the effect of environmental variables to generate a suitable Cd threshold for cultivated soils. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. Modeling of spatially referenced environmental and meteorological factors influencing the probability of Listeria species isolation from natural environments.

    Science.gov (United States)

    Ivanek, R; Gröhn, Y T; Wells, M T; Lembo, A J; Sauders, B D; Wiedmann, M

    2009-09-01

    Many pathogens have the ability to survive and multiply in abiotic environments, representing a possible reservoir and source of human and animal exposure. Our objective was to develop a methodological framework to study spatially explicit environmental and meteorological factors affecting the probability of pathogen isolation from a location. Isolation of Listeria spp. from the natural environment was used as a model system. Logistic regression and classification tree methods were applied, and their predictive performances were compared. Analyses revealed that precipitation and occurrence of alternating freezing and thawing temperatures prior to sample collection, loam soil, water storage to a soil depth of 50 cm, slope gradient, and cardinal direction to the north are key predictors for isolation of Listeria spp. from a spatial location. Different combinations of factors affected the probability of isolation of Listeria spp. from the soil, vegetation, and water layers of a location, indicating that the three layers represent different ecological niches for Listeria spp. The predictive power of classification trees was comparable to that of logistic regression. However, the former were easier to interpret, making them more appealing for field applications. Our study demonstrates how the analysis of a pathogen's spatial distribution improves understanding of the predictors of the pathogen's presence in a particular location and could be used to propose novel control strategies to reduce human and animal environmental exposure.

  11. CREDIT LEVEL INFLUENCING FACTORS AT HUNGARIAN FARMS

    Directory of Open Access Journals (Sweden)

    Toth Jozsef

    2012-12-01

    Full Text Available In this paper we estimate the impact of different factors on creditability of agricultural farms. According to the literature the collateral (tangible assets, the farm size, productivity, and subsidies should have significant effects on farm loans. We use data from the Hungarian Farm Accountancy Data Network to test our two hypotheses and theoretical assumptions for the period 2001-2010. Because of using panel data, we do our estimations using fixed effects econometrics model to test our assumptions. The results indicate that the chosen factors have significant influence on total liabilities and short- and long-term loans as well. With specially interest of subsidies the growing level of supports decrease the need of other financial tools. At output factors (inclusive farm size have significant and positive effect, same as collateral (tangible assets.

  12. Demotivating factors influencing rubber production workers

    Directory of Open Access Journals (Sweden)

    Mohammad Reza Iravani

    2012-01-01

    Full Text Available Motivation is one of the most important factors influencing workers' productivity. An increase in workers' motivation could add more value to organizations' structure and influence the profitability, significantly. In this paper, we study different factors on demotivating workers using questionnaire consist of various questions. The questionnaire is distributed among some employees who work for rubber production units located in Esfahan, Iran. The results of this survey indicate that discrimination on annual job compensation, entrusting responsibilities and unpleasant relationship with family partner are some of the most important factors influencing employees' motivation. While financial factors play important role on increasing employees' motivation, non-financial factors are considered more important.

  13. The Depression Initiative. Description of a collaborative care model for depression and of the factors influencing its implementation in the primary care setting in the Netherlands

    Directory of Open Access Journals (Sweden)

    Fransina J. de Jong

    2009-06-01

    Full Text Available Background: In the Depression Initiative, a promising collaborative care model for depression that was developed in the US was adapted for implementation in the Netherlands. Aim: Description of a collaborative care model for major depressive disorder (MDD and of the factors influencing its implementation in the primary care setting in the Netherlands. Data sources: Data collected during the preparation phase of the CC:DIP trial of the Depression Initiative, literature, policy documents, information sheets from professional associations. Results: Factors facilitating the implementation of the collaborative care model are continuous supervision of the care managers by the consultant psychiatrist and the trainers, a supportive web-based tracking system and the new reimbursement system that allows for introduction of a mental health care-practice nurse (MHC-PN in the general practices and coverage of the treatment costs. Impeding factors might be the relatively high percentage of solo-primary care practices, the small percentage of professionals that are located in the same building, unfamiliarity with the concept of collaboration as required for collaborative care, the reimbursement system that demands regular negotiations between each health care provider and the insurance companies and the reluctance general practitioners might feel to expand their responsibility for their depressed patients. Conclusion: Implementation of the collaborative care model in the Netherlands requires extensive training and supervision on micro level, facilitation of reimbursement on meso- and macro level and structural effort to change the treatment culture for chronic mental disorders in the primary care setting.

  14. The Depression Initiative. Description of a collaborative care model for depression and of the factors influencing its implementation in the primary care setting in the Netherlands.

    Science.gov (United States)

    de Jong, Fransina J; van Steenbergen-Weijenburg, Kirsten M; Huijbregts, Klaas M L; Vlasveld, Moniek C; Van Marwijk, Harm W J; Beekman, Aartjan T F; van der Feltz-Cornelis, Christina M

    2009-06-15

    In the Depression Initiative, a promising collaborative care model for depression that was developed in the US was adapted for implementation in the Netherlands. Description of a collaborative care model for major depressive disorder (MDD) and of the factors influencing its implementation in the primary care setting in the Netherlands. Data collected during the preparation phase of the CC:DIP trial of the Depression Initiative, literature, policy documents, information sheets from professional associations. Factors facilitating the implementation of the collaborative care model are continuous supervision of the care managers by the consultant psychiatrist and the trainers, a supportive web-based tracking system and the new reimbursement system that allows for introduction of a mental health care-practice nurse (MHC-PN) in the general practices and coverage of the treatment costs. Impeding factors might be the relatively high percentage of solo-primary care practices, the small percentage of professionals that are located in the same building, unfamiliarity with the concept of collaboration as required for collaborative care, the reimbursement system that demands regular negotiations between each health care provider and the insurance companies and the reluctance general practitioners might feel to expand their responsibility for their depressed patients. Implementation of the collaborative care model in the Netherlands requires extensive training and supervision on micro level, facilitation of reimbursement on meso- and macro level and structural effort to change the treatment culture for chronic mental disorders in the primary care setting.

  15. Factors Influencing Endometrial Thickness in Postmenopausal Women

    African Journals Online (AJOL)

    Background: Cut‑off values for endometrial thickness (ET) in asymptomatic postmenopausal woman have been standardized. However, there are no comprehensive studies to document how various factors can influence the ET after the age of menopause. Aim: To study the various factors influencing the ET in ...

  16. Factors Influencing Livelihood Diversification among Rural Farmers ...

    African Journals Online (AJOL)

    This research study was set out to analyze factors influencing rural farmer's engagement in livelihood diversification in the study area. The specific objectives were; to identify the different levels of farmers' engagement in livelihood diversification, determine the socio-demographic factors or forces that influence farmers' ...

  17. Factors influencing customer satisfaction with reference and ...

    African Journals Online (AJOL)

    This paper examines factors influencing customer satisfaction with reference and information services in an academic environment. The paper identifies types of reference services in libraries, factors influencing customer satisfaction and dissatisfaction with reference and information services and suggested the way forward ...

  18. Factors Influencing Substance Abuse among Undergraduate ...

    African Journals Online (AJOL)

    The study investigated the factors influencing substance abuse amongundergraduate students in Osun State; Nigeria. A sample of 1, 200undergraduate students were randomly selected from three tertiaryinstitution in Osun State. Factors Influencing Substance Abuse Questionnaire (FISA) was developed by the researcher ...

  19. An Assessment of Factors Influencing Forest Harvesting in Smallholder Tobacco Production in Hurungwe District, Zimbabwe: An Application of Binary Logistic Regression Model

    Directory of Open Access Journals (Sweden)

    Chipo Chivuraise

    2016-01-01

    Full Text Available Deforestation is one of the major effects posed by the smallholder tobacco farming as the farmers heavily depend on firewood sourced from natural forest for curing tobacco. The research aims at assessing the factors that influence the harvesting of natural forest in the production of tobacco. Data is collected through the structured questionnaire from 60 randomly selected farmers. Binary logistic regression model is used to explain the significance of factors influencing natural forest harvesting. Results show that farmer experience, tobacco selling price, and agricultural training level negatively affect the harvesting of natural forests (to obtain firewood for curing tobacco significantly (p0.05 in influencing natural forest harvesting. Though farmers are exploiting the environment and at the same time increasing foreign currency earning through tobacco production, there is therefore a need to put in place policies that encourage sustainable forest product utilization such as gum plantations, subsidizing price of coal, and introducing fees, as well as penalties or taxes to the offenders.

  20. Modelling of Factors Influencing Gender Difference in Mathematics Achievement Using TIMSS 2011 Data for Singaporean Eighth Grade Students

    Science.gov (United States)

    Yoo, Yang Seok

    2018-01-01

    Numerous studies have attributed gender difference in mathematics achievement to various sociocultural influences. Singapore is a country of higher gender equality as represented in the Global Gender Gap Index and Singaporean girls perform as well or higher than boys in international mathematics assessments. This study develops a conceptual model…

  1. Model Correction Factor Method

    DEFF Research Database (Denmark)

    Christensen, Claus; Randrup-Thomsen, Søren; Morsing Johannesen, Johannes

    1997-01-01

    The model correction factor method is proposed as an alternative to traditional polynomial based response surface techniques in structural reliability considering a computationally time consuming limit state procedure as a 'black box'. The class of polynomial functions is replaced by a limit...... statebased on an idealized mechanical model to be adapted to the original limit state by the model correction factor. Reliable approximations are obtained by iterative use of gradient information on the original limit state function analogously to previous response surface approaches. However, the strength...... of the model correction factor method, is that in simpler form not using gradient information on the original limit state function or only using this information once, a drastic reduction of the number of limit state evaluation is obtained together with good approximations on the reliability. Methods...

  2. Psychological Factors Influencing Consumer Behaviour

    OpenAIRE

    Vainikka, Bianca

    2015-01-01

    This paper’s aim is to provide an in-depth elucidation of the many aspects that influence consumer behaviour. The study of consumer behaviour emphasizes the “why” and “how” questions involved in decision making and buying behaviour. This exciting field visits a dynamic blend of themes of consumer marketing strategies, psychology and behavioural discipline. Consumer behaviour in this day and age is highly applicable to modern society as it is an integral part of our everyday lives. This paper ...

  3. Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

    OpenAIRE

    Jinchao Li; Lin Chen; Yuwei Xiang; Jinying Li; Dong Peng

    2018-01-01

    Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have pos...

  4. Factors influencing wood mobilization in streams

    Science.gov (United States)

    Merten, Eric; Finlay, Jacques; Johnson, Lucinda; Newman, Raymond; Stefan, Heinz; Vondracek, Bruce

    2010-10-01

    Natural pieces of wood provide a variety of ecosystem functions in streams including habitat, organic matter retention, increased hyporheic exchange and transient storage, and enhanced hydraulic and geomorphic heterogeneity. Wood mobilization is a critical process in determining the residence time of wood. We documented the characteristics and locations of 865 natural wood pieces (>0.05 m in diameter for a portion >1 m in length) in nine streams along the north shore of Lake Superior in Minnesota. We determined the locations of the pieces again after an overbank stormflow event to determine the factors that influenced mobilization of stationary wood pieces in natural streams. Seven of 11 potential predictor variables were identified with multiple logistic regression as significant to mobilization: burial, effective depth, ratio of piece length to effective stream width (length ratio), bracing, rootwad presence, downstream force ratio, and draft ratio. The final model (P r2 = 0.39) indicated that wood mobilization under natural conditions is a complex function of both mechanical factors (burial, length ratio, bracing, rootwad presence, draft ratio) and hydraulic factors (effective depth, downstream force ratio). If stable pieces are a goal for stream management then features such as partial burial, low effective depth, high length relative to channel width, bracing against other objects (e.g., stream banks, trees, rocks, or larger wood pieces), and rootwads are desirable. Using the model equation from this study, stewards of natural resources can better manage in-stream wood for the benefit of stream ecosystems.

  5. Factors influencing wood mobilization in Minnesota streams

    Science.gov (United States)

    Merten, Eric; Finlay, Jacques; Johnson, Lucinda; Newman, Raymond; Stefan, Heinz; Vondracek, Bruce C.

    2010-01-01

    Natural pieces of wood provide a variety of ecosystem functions in streams including habitat, organic matter retention, increased hyporheic exchange and transient storage, and enhanced hydraulic and geomorphic heterogeneity. Wood mobilization is a critical process in determining the residence time of wood. We documented the characteristics and locations of 865 natural wood pieces (>0.05 m in diameter for a portion >1 m in length) in nine streams along the north shore of Lake Superior in Minnesota. We determined the locations of the pieces again after an overbank stormflow event to determine the factors that influenced mobilization of stationary wood pieces in natural streams. Seven of 11 potential predictor variables were identified with multiple logistic regression as significant to mobilization: burial, effective depth, ratio of piece length to effective stream width (length ratio), bracing, rootwad presence, downstream force ratio, and draft ratio. The final model (P< 0.001, r2 = 0.39) indicated that wood mobilization under natural conditions is a complex function of both mechanical factors (burial, length ratio, bracing, rootwad presence, draft ratio) and hydraulic factors (effective depth, downstream force ratio). If stable pieces are a goal for stream management then features such as partial burial, low effective depth, high length relative to channel width, bracing against other objects (e.g., stream banks, trees, rocks, or larger wood pieces), and rootwads are desirable. Using the model equation from this study, stewards of natural resources can better manage in-stream wood for the benefit of stream ecosystems.

  6. INFLUENCE OF SERVICE FACTORS IN THE MODEL OF PUBLIC TRANSPORT MODE: A BANJARMASIN – BANJARBARU ROUTE CASE STUDY

    OpenAIRE

    Iphan F. Radam; Agus T. Mulyono; Bagus H. Setiadji

    2015-01-01

    This research is aimed to examine the extent to which the service factors will affect the probability of people choice on public transports offered. The service factors are essential since the habits in the planning of new public transport at developing cities tend to prioritizes “travel time” and “travel cost” only. Consequently, there will be more than a small number of new public transports that will meet the same fate as the previous ones, i.e. unable to attract the users’ interest. The r...

  7. Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles

    International Nuclear Information System (INIS)

    Liu, Kai; Wang, Jiangbo; Yamamoto, Toshiyuki; Morikawa, Takayuki

    2016-01-01

    Highlights: • The impacts of driving heterogeneity on EVs’ energy efficiency are examined. • Several multilevel mixed-effects regression models are proposed and compared. • The most reasonable nested structure is extracted from the long term GPS data. • Proposed model improves the energy estimation accuracy by 7.5%. - Abstract: To improve the accuracy of estimation of the energy consumption of electric vehicles (EVs) and to enable the alleviation of range anxiety through the introduction of EV charging stations at suitable locations for the near future, multilevel mixed-effects linear regression models were used in this study to estimate the actual energy efficiency of EVs. The impacts of the heterogeneity in driving behaviour among various road environments and traffic conditions on EV energy efficiency were extracted from long-term daily trip-based energy consumption data, which were collected over 12 months from 68 in-use EVs in Aichi Prefecture in Japan. Considering the variations in energy efficiency associated with different types of EV ownership, different external environments, and different driving habits, a two-level random intercept model, three two-level mixed-effects models, and two three-level mixed-effects models were developed and compared. The most reasonable nesting structure was determined by comparing the models, which were designed with different nesting structures and different random variance component specifications, thereby revealing the potential correlations and non-constant variability of the energy consumption per kilometre (ECPK) and improving the estimation accuracy by 7.5%.

  8. Modeling the Influences of Upper-Elementary School Students' Digital Reading Literacy, Socioeconomic Factors, and Self-Regulated Learning Strategies

    Science.gov (United States)

    Chen, Shin-Feng

    2017-01-01

    Background: Reading is an interactive and constructive process of making meaning by engaging a variety of materials and sources and by participating in reading communities at school or in daily life. Aim: The purpose of this study was to explore the factors affecting digital reading literacy among upper-elementary school students. Method: A…

  9. An extension of technology acceptance model to determine factors that influence the intention to use electronic collection system in Nigerian federal hospitals

    Science.gov (United States)

    Kabir, Muhammad Auwal; Saidin, Siti Zabedah; Ahmi, Aidi

    2017-10-01

    The aim of this paper is to develop a conceptual framework that would be used in determining the factors that influence the behavioral intention to use electronic collection system in federal government owned hospitals in Nigeria. The framework is supported by Technology Acceptance Model (TAM) as the underlying theory of the study. Past literature on individual user intention were thoroughly reviewed and found that TAM is fit appropriate in explaining the phenomenon under study. Based on the reviewed literature, it is expected that perceived usefulness and perceived ease of use will influence the intention of users (employees) to use e-collection system in the performance of their job tasks in Nigerian federal hospitals. In other words, users with higher perception on the system's usefulness and its ease of use are more likely to express their interest and willingness to use the system. In addition, the study has extended TAM with facilitating conditions construct and the research is expected to discover the level of its influence on behavioral intention to use e-collection system.

  10. Study of Zero-Inflated Regression Models in a Large-Scale Population Survey of Sub-Health Status and Its Influencing Factors.

    Science.gov (United States)

    Xu, Tao; Zhu, Guang-Jin; Han, Shao-Mei

    2017-12-30

    were determinants for presence of sub-health symptoms; the binomial negative section of ZINB model analysis showed that sex, occupation, smoking, alcohol drinking, ethnicity, marital status and obesity had significant effect on the severity of sub-health. Conclusions All tests for goodness of fit and the predictive probability curve produced the same finding that ZINB model was the optimum model for exploring the influencing factors of sub-health symptoms.

  11. A structural model of the bio-psycho-socio-spiritual factors influencing the development towards gerotranscendence in a sample of institutionalized elders.

    Science.gov (United States)

    Wang, Jing-Jy

    2011-12-01

    This paper is a report of a study to determine the bio-psycho-socio-spiritual factors influencing the development towards gerotranscendence in institutionalized older people. Physical ability, depressive symptoms, social network support, meaning of life and life satisfaction were examined through a structured equation modelling approach. Older people's pursuit of gerotranscendence is believed to facilitate successful ageing and late-life growth. Although a few Scandinavian studies have identified the relationship between psychosocial factors and the development of gerotranscendence, there is little trans-cultural study of the model, which limits the ability of the gerotranscendence theory to be applied worldwide. Cognitively intact older residents (N = 195) from six long-term care facilities in southern Taiwan participated in a structured interview using the Gerotranscendence scale, Barthel's Index, the Geriatric Depression Scale short form, the Inventory of Socially supportive Behaviour, the Life Meaning scale, and the Life Satisfaction scale. Data were collected over a 6-month period in 2008. The model-fit indexes of the final model (χ2)  = 32.08, d.f. = 14, P = 0.004; CMIN/d.f. = 2.29; GFI = 0.97, AGFI = 0.89, TLI = 0.94, NFI = 0.96) exceeded acceptable levels except for χ2 . In the final model, social support, life satisfaction and meaning of life had direct effects on gerotranscendence (standardized regression weight 0.54, 0.43, and 0.76). The gerotranscendence model of healthy ageing is congruent in the Taiwanese population. Findings of this study can guide nursing and other health professionals in planning implementation of best practice in older people's care. © 2011 Blackwell Publishing Ltd.

  12. Factors influencing the prevalence of primary dysmenorrhoea ...

    African Journals Online (AJOL)

    2012-02-06

    Factors influencing the prevalence of primary dysmenorrhoea amongst Abia State university medical students, South Eastern Nigeria. ... From February 6, 2012 to February 12, 2012, 132 consenting female medical students completed an anonymous questionnaire administered by research assistants at the hostels.

  13. Factors Influencing Adoption of Cocoa Technologies Disseminated ...

    African Journals Online (AJOL)

    fungicides, pruning and fermentation were cocoa technologies adopted by farmers. The significant factors influencing adoption of cocoa technologies included age, educational level, household size, no of farm family assisting on the farm, ...

  14. The Influence of Self-Efficacy and Motivational Factors on Academic Performance in General Chemistry Course: A Modeling Study

    Science.gov (United States)

    Alci, Bulent

    2015-01-01

    This study aims to determine the predictive and explanatory model in terms of university students' academic performance in "General Chemistry" course and their motivational features. The participants were 169 university students in the 1st grade at university. Of the participants, 132 were female and 37 were male students. Regarding…

  15. Validating a Model of Motivational Factors Influencing Involvement for Parents of Transition-Age Youth with Disabilities

    Science.gov (United States)

    Hirano, Kara A.; Shanley, Lina; Garbacz, S. Andrew; Rowe, Dawn A.; Lindstrom, Lauren; Leve, Leslie D.

    2018-01-01

    Parent involvement is a predictor of postsecondary education and employment outcomes, but rigorous measures of parent involvement for youth with disabilities are lacking. Hirano, Garbacz, Shanley, and Rowe adapted scales based on Hoover-Dempsey and Sandler model of parent involvement for use with parents of youth with disabilities aged 14 to 23.…

  16. Factors that influence peripheral nerve regeneration

    DEFF Research Database (Denmark)

    Krarup, Christian; Archibald, Simon J; Madison, Roger D

    2002-01-01

    Regeneration in the peripheral nervous system is often incomplete though it is uncertain which factors, such as the type and extent of the injury or the method or timing of repair, determine the degree of functional recovery. Serial electrophysiological techniques were used to follow recovery from...... median nerve lesions (n = 46) in nonhuman primates over 3 to 4 years, a time span comparable with such lesions in humans. Nerve gap distances of 5, 20, or 50mm were repaired with nerve grafts or collagen-based nerve guide tubes, and three electrophysiological outcome measures were followed: (1) compound...... muscle action potentials in the abductor pollicis brevis muscle, (2) the number and size of motor units in reinnervated muscle, and (3) compound sensory action potentials from digital nerve. A statistical model was used to assess the influence of three variables (repair type, nerve gap distance, and time...

  17. Factors influencing export of dissolved inorganic nitrogen by major rivers: A new, seasonal, spatially explicit, global model

    Science.gov (United States)

    McCrackin, Michelle L.; Harrison, John A.; Compton, Jana E.

    2014-03-01

    Substantial effort has focused on understanding spatial variation in dissolved inorganic nitrogen (DIN) export to the coastal zone and specific basins have been studied in depth. Much less is known, however, about seasonal patterns and controls of coastal DIN delivery across large spatial scales. Understanding seasonal patterns of DIN export is critical to efforts to predict impacts of coastal eutrophication, such as algal blooms and hypoxic areas, which are often seasonal phenomena. Here we describe, test, and apply a global model that predicts seasonal DIN export to coastal regions for >6000 rivers using the Nutrient Export from Watersheds (NEWS2) model. NEWS2-DIN-S used spatially explicit, seasonal N inputs and was calibrated with measured DIN yield (kg N km-2 season-1) for 77 rivers, distributed globally. Of the characteristics considered, DIN-transport efficiency was positively related to runoff and negatively related to temperature (r2 = 0.34-0.60, depending on season p effects and increased retention by plants and soils, respectively. NEWS2-DIN-S incorporated these insights and performed well in predicting DIN yield (Nash-Sutcliffe Efficiency = 0.54-0.65, depending on season). Catchments were effective in retaining DIN and average export rates were lower during the growing season (3-5% of total nitrogen inputs) compared to other seasons (6-10%) for major latitude bands. Model output was insensitive to changes in the magnitude of N inputs, suggesting that refinement of seasonal N input budgets will not substantially improve model performance. Rather, better representation of land-to-river N transfers could improve future models because of strong landscape N attenuation.

  18. An innovation resistance factor model

    Directory of Open Access Journals (Sweden)

    Siti Salwa Mohd Ishak

    2016-09-01

    Full Text Available The process and implementation strategy of information technology in construction is generally considered through the limiting prism of theoretical contexts generated from innovation diffusion and acceptance. This research argues that more attention should be given to understanding the positive effects of resistance. The study develops a theoretical framing for the Integrated Resistance Factor Model (IRFM. The framing uses a combination of diffusion of innovation theory, technology acceptance model and social network perspective. The model is tested to identify the most significant resistance factors using Partial Least Square (PLS technique. All constructs proposed in the model are found to be significant, valid and consistent with the theoretical framework. IRFM is shown to be an effective and appropriate model of user resistance factors. The most critical factors to influence technology resistance in the online project information management system (OPIMS context are: support from leaders and peers, complexity of the technology, compatibility with key work practices; and pre-trial of the technology before it is actually deployed. The study provides a new model for further research in technology innovation specific to the construction industry.

  19. factors influencing condom use among nigerian undergraduates

    African Journals Online (AJOL)

    2012-12-01

    Dec 1, 2012 ... unanticipated sexual intercourse”. Conversely, the influence of alcohol/social drugs on condom use was ranked low. Conclusion: The study showed that students had the perception that various factors influenced condom use but these perceptions varied between young men and women. It may therefore be ...

  20. Factors Influencing Number of Physiotherapy Treatment Sessions ...

    African Journals Online (AJOL)

    Little is known about the influence of physiotherapists' characteristics and treatment modalities on the number of treatment sessions in Nigeria. This study was designed to evaluate the factors influencing the number of treatment sessions for patients with low back pain (LBP). Three hundred and eleven practising ...

  1. Influence factors and prediction of stormwater runoff of urban green space in Tianjin, China: laboratory experiment and quantitative theory model.

    Science.gov (United States)

    Yang, Xu; You, Xue-Yi; Ji, Min; Nima, Ciren

    2013-01-01

    The effects of limiting factors such as rainfall intensity, rainfall duration, grass type and vegetation coverage on the stormwater runoff of urban green space was investigated in Tianjin. The prediction equation of stormwater runoff was established by the quantitative theory with the lab experimental data of soil columns. It was validated by three field experiments and the relative errors between predicted and measured stormwater runoff are 1.41, 1.52 and 7.35%, respectively. The results implied that the prediction equation could be used to forecast the stormwater runoff of urban green space. The results of range and variance analysis indicated the sequence order of limiting factors is rainfall intensity > grass type > rainfall duration > vegetation coverage. The least runoff of green land in the present study is the combination of rainfall intensity 60.0 mm/h, duration 60.0 min, grass Festuca arundinacea and vegetation coverage 90.0%. When the intensity and duration of rainfall are 60.0 mm/h and 90.0 min, the predicted volumetric runoff coefficient is 0.23 with Festuca arundinacea of 90.0% vegetation coverage. The present approach indicated that green space is an effective method to reduce stormwater runoff and the conclusions are mainly applicable to Tianjin and the semi-arid areas with main summer precipitation and long-time interval rainfalls.

  2. Factors influencing consumer dietary health preventative behaviours

    Directory of Open Access Journals (Sweden)

    Ritson Christopher

    2006-09-01

    Full Text Available Abstract Background The deterioration of the health status of the Romanian population during the economic transition from a centrally planned to a free market economy has been linked to lifestyles factors (e.g. diet regarded as a main determinants of the disparity in life expectancy between Eastern and Western Europe. Reforms in the health care system in this transition economy aim to focus on preventive action. The purpose of this study was to identify the factors that impact on the individual decision to engage in Dietary Health Preventive Behaviour (DHPB and investigate their influence in the context of an adapted health cognition model. Methods A population-based study recruited 485 adult respondents using random route sampling and face-to-face administered questionnaires. Results and discussion Respondents' health motivation, beliefs that diet can prevent disease, knowledge about nutrition, level of education attainment and age have a positive influence on DHPB. Perceived barriers to healthy eating have a negative impact on alcohol moderation. The information acquisition behaviour (frequency of reading food labels is negatively predicted by age and positively predicted by health motivation, education, self-reported knowledge about nutrition and household financial status. A significant segment of respondents believe they are not susceptible to the elicited diseases. Health promotion strategies should aim to change the judgments of health risk. Conclusion The adaptation of the Health Belief Model and the Theory of Health Preventive Behaviour represents a valid framework of predicting DHPB. The negative sign of perceived threat of disease on DHPB may suggest that, under an income constraint, consumers tend to trade off long-term health benefits for short-term benefits. This cautions against the use of negative messages in public health campaigns. Raising the awareness of diet-disease relationships, knowledge about nutrition (particularly

  3. Factors influencing consumer dietary health preventative behaviours.

    Science.gov (United States)

    Petrovici, Dan A; Ritson, Christopher

    2006-09-01

    The deterioration of the health status of the Romanian population during the economic transition from a centrally planned to a free market economy has been linked to lifestyles factors (e.g. diet) regarded as a main determinants of the disparity in life expectancy between Eastern and Western Europe. Reforms in the health care system in this transition economy aim to focus on preventive action. The purpose of this study was to identify the factors that impact on the individual decision to engage in Dietary Health Preventive Behaviour (DHPB) and investigate their influence in the context of an adapted health cognition model. A population-based study recruited 485 adult respondents using random route sampling and face-to-face administered questionnaires. Respondents' health motivation, beliefs that diet can prevent disease, knowledge about nutrition, level of education attainment and age have a positive influence on DHPB. Perceived barriers to healthy eating have a negative impact on alcohol moderation. The information acquisition behaviour (frequency of reading food labels) is negatively predicted by age and positively predicted by health motivation, education, self-reported knowledge about nutrition and household financial status. A significant segment of respondents believe they are not susceptible to the elicited diseases. Health promotion strategies should aim to change the judgments of health risk. The adaptation of the Health Belief Model and the Theory of Health Preventive Behaviour represents a valid framework of predicting DHPB. The negative sign of perceived threat of disease on DHPB may suggest that, under an income constraint, consumers tend to trade off long-term health benefits for short-term benefits. This cautions against the use of negative messages in public health campaigns. Raising the awareness of diet-disease relationships, knowledge about nutrition (particularly sources and risks associated with dietary fat and cholesterol) may induce people to

  4. An institutional explanation and model of the factors influencing room rate pricing decisions in the Irish hotel industry

    OpenAIRE

    Mattimoe, Ruth B.T.

    2007-01-01

    This paper reports on a study of room rate pricing in the Irish hotel industry. The paper views pricing as a social and organisational practice embedded in the contextual setting of each hotel. An interpretivist research methodology was chosen and actioned using qualitative interviewing and case studies. Two contrasting major case studies provided insights into the practice of room pricing. A five-level institutional explanation/model, which connects micro- and macro-levels, is proposed, usin...

  5. Factors influencing the adoption of mobile financial services in the ...

    African Journals Online (AJOL)

    user

    the basis for product or service development, pricing, marketing and policy formulation. In this study we .... influence and perceived price levels were used together with the original TAM model to study factors influencing .... The target population of this study includes users of mobile financial services in the Chamwino district.

  6. Host factors influencing viral persistence

    DEFF Research Database (Denmark)

    Thomsen, Allan Randrup; Nansen, A; Ørding Andreasen, Susanne

    2000-01-01

    With the aim of characterizing the antiviral immune response to a non-cytocidal virus, we studied the outcome of lymphocytic choriomeningitis virus infection in a number of gene knockout mouse strains. Two virus strains differing markedly in their capacity to spread and replicate inside the murine....... Reappearance of virus is associated with impaired long-term CD8+ T-cell mediated immune surveillance, and the time to virus resurgence is inversely correlated to the replication rate of the virus. Our studies also reveal that interferon-gamma is a central cytokine, and depending on the rate of virus...... replication, mice lacking the ability to produce interferon-gamma may develop either a severe, mostly fatal, T-cell mediated wasting syndrome or a chronic infection characterized by long-term coexistence of antiviral cytotoxic T lymphocytes and infectious virus. Mathematical modelling indicates...

  7. A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease

    Directory of Open Access Journals (Sweden)

    Lianfa Li

    2018-02-01

    the multivariate models. Efron’s cross-validation R2 of 0.83 was acquired using our approach. The spatial effect accounted for 23% of the R2, and notable patterns of the posterior spatial effect were captured. Conclusions We developed a geo-additive mixed spatiotemporal model to assess the influence of meteorological, environmental and socioeconomic factors on HFMD incidence and explored spatiotemporal patterns of such incidence. Our approach achieved a competitive performance in cross-validation and revealed strong spatial patterns for the HFMD incidence rate, illustrating important implications for the epidemiology of HFMD.

  8. Factors Influencing the Selection of the Systems Integration Organizational Model Type for Planning and Implementing Government High-Technology Programs

    Science.gov (United States)

    Thomas, Leann; Utley, Dawn

    2006-01-01

    While there has been extensive research in defining project organizational structures for traditional projects, little research exists to support high technology government project s organizational structure definition. High-Technology Government projects differ from traditional projects in that they are non-profit, span across Government-Industry organizations, typically require significant integration effort, and are strongly susceptible to a volatile external environment. Systems Integration implementation has been identified as a major contributor to both project success and failure. The literature research bridges program management organizational planning, systems integration, organizational theory, and independent project reports, in order to assess Systems Integration (SI) organizational structure selection for improving the high-technology government project s probability of success. This paper will describe the methodology used to 1) Identify and assess SI organizational structures and their success rate, and 2) Identify key factors to be used in the selection of these SI organizational structures during the acquisition strategy process.

  9. The Influence On Factors In Attitudes Toward Acceptance Of The Information System Using Technology Acceptance Model TAM Case Study SPAN System In Indonesia

    Directory of Open Access Journals (Sweden)

    Donny Maha Putra

    2015-08-01

    Full Text Available Theoretically and practically Technology Acceptance Model TAM is a model that is considered most appropriate in explaining how the user receives a system. This study aimed to analyze the factors that influence the attitudes towards the acceptance of Sistem Perbendaharaan Anggaran Negara SPAN using TAM approach. The problems raised in this research aims to determine the attitude of the use of the transition process lagecy system to the new system which for many users create conflict in the process of adaptation. On the basis of this proposed theoretical models to test hypotheses using Structural Equation Model SEM and analysis tool using lisrel. This research was conducted in all offices DG of Treasury of Ministry of Finance with 210 respondents were chosen at random to represent each office. The results of this study prove 4 hypothesis is accepted from 8 hypothesis namely a a negative affect with the results demonstrabilty b computer self-efficacy with the output quality c computer self-efficacy with the perceived ease of use d perceived ease of use with the perceived of usefulness. Overall indicates that the application of the SPAN system in the Ministry of Finance of In Indonesia can be accepted by users.

  10. Maturity of hospital information systems: Most important influencing factors.

    Science.gov (United States)

    Vidal Carvalho, João; Rocha, Álvaro; Abreu, António

    2017-07-01

    Maturity models facilitate organizational management, including information systems management, with hospital organizations no exception. This article puts forth a study carried out with a group of experts in the field of hospital information systems management with a view to identifying the main influencing factors to be included in an encompassing maturity model for hospital information systems management. This study is based on the results of a literature review, which identified maturity models in the health field and relevant influencing factors. The development of this model is justified to the extent that the available maturity models for the hospital information systems management field reveal multiple limitations, including lack of detail, absence of tools to determine their maturity and lack of characterization for stages of maturity structured by different influencing factors.

  11. Factors that influence young people's mental health help-seeking behaviour: a study based on the Health Belief Model.

    Science.gov (United States)

    O'Connor, Peter J; Martin, Brett; Weeks, Clinton S; Ong, Luzian

    2014-11-01

    To identify key predictors and moderators of mental health 'help-seeking behavior' in adolescents. Mental illness is highly prevalent in adolescents and young adults; however, individuals in this demographic group are among the least likely to seek help for such illnesses. Very little quantitative research has examined predictors of help-seeking behaviour in this demographic group. A cross-sectional design was used. A group of 180 volunteers between the ages of 17-25 completed a survey designed to measure hypothesized predictors and moderators of help-seeking behaviour. Predictors included a range of health beliefs, personality traits and attitudes. Data were collected in August 2010 and were analysed using two standard and three hierarchical multiple regression analyses. The standard multiple regression analyses revealed that extraversion, perceived benefits of seeking help, perceived barriers to seeking help and social support were direct predictors of help-seeking behaviour. Tests of moderated relationships (using hierarchical multiple regression analyses) indicated that perceived benefits were more important than barriers in predicting help-seeking behaviour. In addition, perceived susceptibility did not predict help-seeking behaviour unless individuals were health conscious to begin with or they believed that they would benefit from help. A range of personality traits, attitudes and health beliefs can predict help-seeking behaviour for mental health problems in adolescents. The variable 'Perceived Benefits' is of particular importance as it is: (1) a strong and robust predictor of help-seeking behaviour; and (2) a factor that can theoretically be modified based on health promotion programmes. © 2014 John Wiley & Sons Ltd.

  12. Determination of Mucosal Secretory Factors that Influence ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Determination of Mucosal Secretory Factors that Influence Susceptibility to HIV Infection Among Female Sex Workers in Kenya. Understanding the complex factors that can lead ... Related content ... on women's paid work. Policy in Focus publishes a special issue profiling evidence to empower women in the labour market.

  13. Psychosocial Factors Influencing Attitudes Towards Internet Piracy ...

    African Journals Online (AJOL)

    The study investigated psychosocial factors influencing attitude towards internet piracy among Nigerian University students. The ex-post factor research design was adopted. In all a total of two hundred and fifty participants were drawn through accidental sampling technique for this study. Their age ranged between 19-48 ...

  14. PM2.5 source apportionment in a French urban coastal site under steelworks emission influences using constrained non-negative matrix factorization receptor model.

    Science.gov (United States)

    Kfoury, Adib; Ledoux, Frédéric; Roche, Cloé; Delmaire, Gilles; Roussel, Gilles; Courcot, Dominique

    2016-02-01

    The constrained weighted-non-negative matrix factorization (CW-NMF) hybrid receptor model was applied to study the influence of steelmaking activities on PM2.5 (particulate matter with equivalent aerodynamic diameter less than 2.5 μm) composition in Dunkerque, Northern France. Semi-diurnal PM2.5 samples were collected using a high volume sampler in winter 2010 and spring 2011 and were analyzed for trace metals, water-soluble ions, and total carbon using inductively coupled plasma--atomic emission spectrometry (ICP-AES), ICP--mass spectrometry (ICP-MS), ionic chromatography and micro elemental carbon analyzer. The elemental composition shows that NO3(-), SO4(2-), NH4(+) and total carbon are the main PM2.5 constituents. Trace metals data were interpreted using concentration roses and both influences of integrated steelworks and electric steel plant were evidenced. The distinction between the two sources is made possible by the use Zn/Fe and Zn/Mn diagnostic ratios. Moreover Rb/Cr, Pb/Cr and Cu/Cd combination ratio are proposed to distinguish the ISW-sintering stack from the ISW-fugitive emissions. The a priori knowledge on the influencing source was introduced in the CW-NMF to guide the calculation. Eleven source profiles with various contributions were identified: 8 are characteristics of coastal urban background site profiles and 3 are related to the steelmaking activities. Between them, secondary nitrates, secondary sulfates and combustion profiles give the highest contributions and account for 93% of the PM2.5 concentration. The steelwork facilities contribute in about 2% of the total PM2.5 concentration and appear to be the main source of Cr, Cu, Fe, Mn, Zn. Copyright © 2015. Published by Elsevier B.V.

  15. Factors influencing superimposition error of 3D cephalometric landmarks by plane orientation method using 4 reference points: 4 point superimposition error regression model.

    Science.gov (United States)

    Hwang, Jae Joon; Kim, Kee-Deog; Park, Hyok; Park, Chang Seo; Jeong, Ho-Gul

    2014-01-01

    Superimposition has been used as a method to evaluate the changes of orthodontic or orthopedic treatment in the dental field. With the introduction of cone beam CT (CBCT), evaluating 3 dimensional changes after treatment became possible by superimposition. 4 point plane orientation is one of the simplest ways to achieve superimposition of 3 dimensional images. To find factors influencing superimposition error of cephalometric landmarks by 4 point plane orientation method and to evaluate the reproducibility of cephalometric landmarks for analyzing superimposition error, 20 patients were analyzed who had normal skeletal and occlusal relationship and took CBCT for diagnosis of temporomandibular disorder. The nasion, sella turcica, basion and midpoint between the left and the right most posterior point of the lesser wing of sphenoidal bone were used to define a three-dimensional (3D) anatomical reference co-ordinate system. Another 15 reference cephalometric points were also determined three times in the same image. Reorientation error of each landmark could be explained substantially (23%) by linear regression model, which consists of 3 factors describing position of each landmark towards reference axes and locating error. 4 point plane orientation system may produce an amount of reorientation error that may vary according to the perpendicular distance between the landmark and the x-axis; the reorientation error also increases as the locating error and shift of reference axes viewed from each landmark increases. Therefore, in order to reduce the reorientation error, accuracy of all landmarks including the reference points is important. Construction of the regression model using reference points of greater precision is required for the clinical application of this model.

  16. Cholesterol as a factor regulating the influence of natural (PAF and lysoPAF) vs synthetic (ED) ether lipids on model lipid membranes.

    Science.gov (United States)

    Flasiński, Michał; Wydro, Paweł; Hąc-Wydro, Katarzyna; Dynarowicz-Łątka, Patrycja

    2013-11-01

    In this work we have performed a comparative study on the effect of antineoplastic ether lipid-edelfosine (ED), its natural analogs - Platelet Activating Factor (PAF) and its precursor (lyso-PAF), both lacking anticancer properties, on cholesterol/phosphatidylcholine (Chol/PC) monolayers, serving as model membranes. Since all the above ether lipids are membrane active, it can be expected that their effect on membranes may differentiate their biological activity. Our investigations were aimed at studying potential relationship of the effect of ED, PAF and lyso-PAF on model membranes, differing in condensation. We have modified molecular packing of Chol/PC model systems either by increasing the level of sterol in the system or changing the structure of PC, while keeping the same sterol content. Additionally, we have performed a detailed comparison of the miscibility of ED, PAF and lyso-PAF with various membrane lipids. The collected data evidenced that all the investigated ether lipids influence Chol/PC films in the same way; however, in a different magnitude. Moreover, the interactions of ED, PAF and lyso-PAF with model membranes were the strongest at the highest level of sterol in the system. A thorough analysis of the obtained results has proved that the effect of the investigated ether lipids on membranes is not dependent on the condensation of the system, but it is strongly determined by the concentration of cholesterol. Since ED was found to interact with model membranes stronger than PAF and lyso-PAF, we have suggested that this fact may contribute to differences in cytotoxicity of these compounds. © 2013.

  17. The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China—Based on the Extended STIRPAT Model

    Directory of Open Access Journals (Sweden)

    Yong Wang

    2018-05-01

    Full Text Available Household carbon emissions are important components of total carbon emissions. The consumer side of energy-saving emissions reduction is an essential factor in reducing carbon emissions. In this paper, the carbon emissions coefficient method and Consumer Lifestyle Approach (CLA were used to calculate the total carbon emissions of households in 30 provinces of China from 2006 to 2015, and based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT model, the factors influencing the total carbon emissions of households were analyzed. The results indicated that, first, over the past ten years, the energy and products carbon emissions from China’s households have demonstrated a rapid growth trend and that regional distributions present obvious differences. Second, China’s energy carbon emissions due to household consumption primarily derived from the residents’ consumption of electricity and coal; China’s products household carbon emissions primarily derived from residents’ consumption of the high carbon emission categories: residences, food, transportation and communications. Third, in terms of influencing factors, the number of households in China plays a significant role in the total carbon emissions of China’s households. The ratio of children 0–14 years old and gender ratio (female = 100 are two factors that reflect the demographic structure, have significant effects on the total carbon emissions of China’s households, and are all positive. Gross Domestic Product (GDP per capita plays a role in boosting the total carbon emissions of China’s households. The effect of the carbon emission intensity on total household carbon emissions is positive. The industrial structure (the proportion of secondary industries’ added value to the regional GDP has curbed the growth of total carbon emissions from China’s household consumption. The results of this study provide data to support the

  18. Factors influencing job satisfaction and organizational commitment.

    Science.gov (United States)

    Watson, Liana M

    2008-01-01

    To assess the relationship between intrinsic and extrinsic motivational factors influencing job satisfaction and the perspective of frontline medical imaging staff in acute care health care facilities in the United States. The sample consisted of 359 registered radiologic technologists who were working as staff technologists in acute care health care facilities in the United States. The results of the study suggest that satisfaction with intrinsic and extrinsic motivators influences overall satisfaction with the work environment and job and commitment to the employer.

  19. Factors influencing job satisfaction of oncology nurses over time.

    Science.gov (United States)

    Cummings, Greta; Olson, Karin; Raymond-Seniuk, Christy; Lo, Eliza; Masaoud, Elmabrok; Bakker, Debra; Fitch, Margaret; Green, Esther; Butler, Lorna; Conlon, Michael

    2013-01-01

    In this study, we tested a structural equation model to examine work environment factors related to changes in job satisfaction of oncology nurses between 2004 and 2006. Relational leadership and good physician/nurse relationships consistently influenced perceptions of enough RNs to provide quality care, and freedom to make patient care decisions, which, in turn, directly influenced nurses' job satisfaction over time. Supervisor support in resolving conflict and the ability to influence patient care outcomes were significant influences on job satisfaction in 2004, whereas, in 2006, a clear philosophy of nursing had a greater significant influence. Several factors that influence job satisfaction of oncology nurses in Canada have changed over time, which may reflect changes in work environments and work life. These findings suggest opportunities to modify work conditions that could improve nurses' job satisfaction and work life.

  20. Overview of factors influencing the secondary market

    International Nuclear Information System (INIS)

    Bleistine, P.A.

    1982-01-01

    The major factor influencing secondary trading for the last few years has been the large contractural commitments built up by consumers for reactor programs which have proven to be unrealistic. The situation has intensified as a result of utilities needing to generate capital through inventory liquidation or reductions. The flexibilities in most contracts are inadequate to match the types of external and/or internal factors faced by the industry. This situation also suggests the need for secondary markets to help the industry adjust to unforeseen difficulties. They are very active markets at this time, but their influence in relation to the long-term method of doing business should not be exaggerated

  1. INFLUENCE FACTORS FOR LEASING MARKET CONTRACTS

    Directory of Open Access Journals (Sweden)

    Oana BĂRBULESCU

    2016-11-01

    Full Text Available This paper aims to investigate the relationship between leasing contracts and some factors that influence the value of these contracts. In order to do this, we have decided on some quantitative marketing research by appealing to statistics for accomplishing the objectives that we have set: to find a correlation between the turnover percentage assigned to leasing expenses and several influence factors. This study indicated that the more contracts are signed by a firm, the more likely is to assign a bigger fraction of the income to each new leasing contract. The study confirmed that bigger companies are relying more on leasing as a way of financing than small companies. This study also discovered that companies with more employees are using larger contracts in order to sustain their activity. The findings are expected to contribute to adjusting the offers by the leasing companies, taking into consideration these factors and to using these factors in order to better predict the market evolution.

  2. Factors influencing implementation of integrated management of ...

    African Journals Online (AJOL)

    intern

    A semi-structured questionnaire was developed for the purpose of obtaining information on factors influencing community based treatment of childhood illness. The questionnaire had two sections; the first section was directed to Council Health Management Team members and aimed to collect information about health.

  3. Exploring Factors That Influence Quality Literature Circles

    Science.gov (United States)

    Young, Chase; Mohr, Kathleen A. J.

    2018-01-01

    Research indicates that literature circles are an authentic means for literacy development that students typically enjoy. To better understand the potential value and to add to the research base regarding literature circles, this study, involving 17 fourth graders, explores factors that may influence the quality of literature discussions,…

  4. Sociodemographic factors influencing adherence to antenatal iron ...

    African Journals Online (AJOL)

    Sociodemographic factors influencing adherence to antenatal iron supplementation recommendations among pregnant women in Malawi: Analysis of data from ... Focusing on education interventions that target populations with low rates of iron supplement intake, including campaigns to increase the number of women who ...

  5. factors influencing the decision to participate

    African Journals Online (AJOL)

    Ghana Journal of Development Studies Volume 3, Number 2, November 2006. FACTORS INFLUENCING THE ... farm income, number of micro—credit institutions, level of education and distance of micro—credit institutions ... threshold theory of decision making, in which a reaction occurs only after the strength of the stimuli ...

  6. Factors influencing HIV seroprevalence rate among pregnant ...

    African Journals Online (AJOL)

    Human immune deficiency virus (HIV) seroprevalence among pregnant women in Calabar was studied. The aims were to establish HIV seroprevalence rate and to identify factors which influence this rate in our pregnant women. HIV seroprevalence rate of 2.7% among antenatal women in Calabar was recorded with a ...

  7. Factors Influencing Examination Malpractice in Secondary Schools ...

    African Journals Online (AJOL)

    The main purpose of this study was to investigate factors influencing examination malpractice in some selected secondary schools in Cross River State, Nigeria. A sample of one thousand two hundred (1200) students were selected across the three educational zones of Ogoja, Ikom and Calabar using stratified, random ...

  8. Factors influencing insulin secretion from encapsulated islets

    NARCIS (Netherlands)

    de Haan, BJ; Faas, MM; de Vos, P

    2003-01-01

    Adequate regulation of glucose levels by a microencapsulated pancreatic islet graft requires a minute-to-minute regulation of blood glucose. To design such a transplant, it is mandatory to have sufficient insight in factors influencing the kinetics of insulin secretion by encapsulated islets. The

  9. Factors influencing children's interpretation and acquisition of ...

    African Journals Online (AJOL)

    Adopting Systemic Functional Linguistics, the study investigated factors that influence idiom interpretation and acquisition in children. Semantic analysability, idiom structure and idiom modification were investigated in 20 native Chichewa speaking children aged between 4 – 14 years. Three experiments were conducted to ...

  10. Factors influencing immunisation coverage among children under ...

    African Journals Online (AJOL)

    Background This article explores the hypothesis that predisposing and enabling factors of households influence the vaccination status of the children under the age of five in Khartoum State, Sudan. Method The study was a cross-sectional survey among a representative sample of 410 male and female children under five ...

  11. Socio-Economic Factors Influencing Entrepreneurship Among ...

    African Journals Online (AJOL)

    Socio-Economic Factors Influencing Entrepreneurship Among Women In Fishing Communities In Ondo State, Nigeria. ... The study found that overall entrepreneurial rating of the study group is low, essential input can not be easily gotten in the area, the respondents has large household size thereby had a large dependents ...

  12. Institutional Factors Influencing Crop Farmers Adoption of ...

    African Journals Online (AJOL)

    This study examined the institutional factors influencing adoption of recommended agrochemical practices (RAPs) among crop farmers in Nigeria. A total of 260 crop farmers who have sustained the use of agrochemicals for at least five years were selected for the study using multi-stage sampling technique. Data were ...

  13. Assessment of Factors Influencing Beneficiary Participation in ...

    African Journals Online (AJOL)

    The paper investigated factors influencing beneficiary participation in Fadama II project in Niger State. Three LGAs out of eleven LGAs that benefited in Fadama II project were randomly selected for the study. To this end, one Fadama Community Association (FCA) and five Fadama User Groups (FUGs) were randomly ...

  14. Factors influencing woodlands of southwestern North Dakota

    Science.gov (United States)

    Michele M. Girard; Harold Goetz; Ardell J. Bjugstad

    1987-01-01

    Literature pertaining to woodlands of southwestern North Dakota is reviewed. Woodland species composition and distribution, and factors influencing woodland ecosystems such as climate, logging, fire, and grazing are described. Potential management and improvement techniques using vegetation and livestock manipulation have been suggested.

  15. Information accessibility and utilizatoin as factors influencing ...

    African Journals Online (AJOL)

    This study investigated information accessibility and utilization as factors influencing decision-making of managers in commercial banks in Nigeria. Single stage random sampling with equal allocation method was used to select 550 managers from the 66 licensed commercial banks. The study revealed that there was a ...

  16. Factors Influencing Information and Communication Technology ...

    African Journals Online (AJOL)

    Information and communication technology (ICT) is a veritable tool for sustainable agricultural development in Nigeria. This paper analyzed the factors that influenced ICT use by women research scientists in the Universities of Agriculture in Nigeria. Simple random sampling technique was used to select 40 respondents per ...

  17. Psychosocial factors influencing attitude towards abortion among ...

    African Journals Online (AJOL)

    The study examines the psychosocial factors capable of influencing abortion among university undergraduates in Nigeria. Two hundred (200) students consisted of 63(31.5%) males and 137(68.5%) females participated in the survey. The study adopted ex-post facto design. Their age ranged between 16 to 40 years with ...

  18. Assessment of Factors Influencing Beneficiary Participation in ...

    African Journals Online (AJOL)

    selected for the study. To this end, one Fadama Community Association (FCA) and five Fadama User. Groups (FUGs) ... factor that significantly influenced participation (P < 0.05) in Fadama II project in the study area. Keywords: Fadama II Project, ... the provision of marketing infrastructure, improving mechanism of conflict ...

  19. Factors influencing knowledge and practice of exclusive ...

    African Journals Online (AJOL)

    The overall objective of this study was to determine factors influencing the knowledge and practice of Exclusive Breast Feeding1 (EBF) among lactating mothers with infants aged zero2 to six months at Ahero Sub District Hospital in Nyando District, Kenya. A cross- sectional design was conducted to 117 breastfeeding ...

  20. Factors influencing the use of Information Communication ...

    African Journals Online (AJOL)

    With the advent of information and communication technologies (ICT), college libraries struggle to maintain credibility in the provision of library materials for research, teaching and learning through the acceptance and use of information technology. This study therefore investigated the factors influencing the use of ICT by ...

  1. 122 Factors Influencing Information and Communication Technology ...

    African Journals Online (AJOL)

    Yemi Olojede

    Information and communication technology (ICT) is a veritable tool for sustainable agricultural development in Nigeria. This paper analyzed the factors that influenced. ICT use by women research scientists in the Universities of Agriculture in Nigeria. Simple random sampling technique was used to select 40 respondents per ...

  2. Social Factors Influencing Child Health in Ghana.

    Directory of Open Access Journals (Sweden)

    Emmanuel Quansah

    Full Text Available Social factors have profound effects on health. Children are especially vulnerable to social influences, particularly in their early years. Adverse social exposures in childhood can lead to chronic disorders later in life. Here, we sought to identify and evaluate the impact of social factors on child health in Ghana. As Ghana is unlikely to achieve the Millennium Development Goals' target of reducing child mortality by two-thirds between 1990 and 2015, we deemed it necessary to identify social determinants that might have contributed to the non-realisation of this goal.ScienceDirect, PubMed, MEDLINE via EBSCO and Google Scholar were searched for published articles reporting on the influence of social factors on child health in Ghana. After screening the 98 articles identified, 34 of them that met our inclusion criteria were selected for qualitative review.Major social factors influencing child health in the country include maternal education, rural-urban disparities (place of residence, family income (wealth/poverty and high dependency (multiparousity. These factors are associated with child mortality, nutritional status of children, completion of immunisation programmes, health-seeking behaviour and hygiene practices.Several social factors influence child health outcomes in Ghana. Developing more effective responses to these social determinants would require sustainable efforts from all stakeholders including the Government, healthcare providers and families. We recommend the development of interventions that would support families through direct social support initiatives aimed at alleviating poverty and inequality, and indirect approaches targeted at eliminating the dependence of poor health outcomes on social factors. Importantly, the expansion of quality free education interventions to improve would-be-mother's health knowledge is emphasised.

  3. Social Factors Influencing Child Health in Ghana

    Science.gov (United States)

    Quansah, Emmanuel; Ohene, Lilian Akorfa; Norman, Linda; Mireku, Michael Osei; Karikari, Thomas K.

    2016-01-01

    Objectives Social factors have profound effects on health. Children are especially vulnerable to social influences, particularly in their early years. Adverse social exposures in childhood can lead to chronic disorders later in life. Here, we sought to identify and evaluate the impact of social factors on child health in Ghana. As Ghana is unlikely to achieve the Millennium Development Goals’ target of reducing child mortality by two-thirds between 1990 and 2015, we deemed it necessary to identify social determinants that might have contributed to the non-realisation of this goal. Methods ScienceDirect, PubMed, MEDLINE via EBSCO and Google Scholar were searched for published articles reporting on the influence of social factors on child health in Ghana. After screening the 98 articles identified, 34 of them that met our inclusion criteria were selected for qualitative review. Results Major social factors influencing child health in the country include maternal education, rural-urban disparities (place of residence), family income (wealth/poverty) and high dependency (multiparousity). These factors are associated with child mortality, nutritional status of children, completion of immunisation programmes, health-seeking behaviour and hygiene practices. Conclusions Several social factors influence child health outcomes in Ghana. Developing more effective responses to these social determinants would require sustainable efforts from all stakeholders including the Government, healthcare providers and families. We recommend the development of interventions that would support families through direct social support initiatives aimed at alleviating poverty and inequality, and indirect approaches targeted at eliminating the dependence of poor health outcomes on social factors. Importantly, the expansion of quality free education interventions to improve would-be-mother’s health knowledge is emphasised. PMID:26745277

  4. A factor analysis to detect factors influencing building national brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    Full Text Available Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.

  5. A Structural Equation Model of the Factors Associated with Influence and Power of IT Departments and Their Relationship to Firm's IT Orientation and Business Performance

    Science.gov (United States)

    Kowshik, Raghu V.

    2010-01-01

    Although few firms can function without an information technology (IT) department, senior executives often consider IT as secondary. Historically, studies have found IT departments to have low influence and power status compared to other departments. Few, if any, studies have investigated what factors contribute to this subservient position. Three…

  6. Influence of Biomedical Factors on the Five Viscera Score (FVS on Middle-Aged and Elderly Individuals: Application of Structural Equation Modeling

    Directory of Open Access Journals (Sweden)

    Taro Tomura

    2015-01-01

    Full Text Available The five viscera score (FVS is a diagnostic scale for traditional Chinese medicine (TCM. The purposes of current study are to elucidate the characteristics of FVS obtained from middle-aged to elderly individuals and to investigate the validity of FVS using biological medical data of middle-aged and elderly individuals. Structural equation modeling (SEM was used to conduct assessments between FVS and medical data. Eighty men and 99 women participated in this study, whose mean ages (SD were 58 ± 7 years in both genders showing no significant difference. FVS of women was significantly higher than that of men in the spleen of the 50s (P=0.019 and liver of the 60s age group (P=0.030. By SEM, the following biomedical factors were found to influence viscera: gender, diastolic blood pressure, and HDL-C for the liver; GLU, GOT, and γ-GTP for the spleen; age, BMI, and HCRP for the lungs; and HbA1c and creatinine clearance for the kidneys. These results provide objective evidence that FVS can be used for TCM diagnosis in middle-aged and elderly individuals.

  7. Theoretical difference between impact factor and influence factor

    Directory of Open Access Journals (Sweden)

    Đilda Pečarić

    2010-06-01

    Full Text Available Bibliometric constructions of "knowledge maps" and "cognitive structures of science" do not differentiate between impact and influence factors. The difference can be constructedaccording to different meaning and interpretation of the terms reference and citation. Reference is "acknowledgment which one author gives to another", whereas citation is "acknowledgment which one document receives from another". Development of Information Science according to period and subject area is analyzed on the corpus of citation literature retrieved from doctoral dissertations in Information Science from 1978 to 2007 at Croatian universities. The research aim is to indicate the difference between document impact factor and author's influence factor (i.e. reference ability to produce effects on actions, behavior, and opinions of authors of doctoral theses. The influence factor serves to distinguish the key role of cited authors in time and according to the duration of the influence (the average age for cited papers of dominant authors in different periods is between eight and ten years. The difference between linear and interactive communication seems vital for the interpretation of cited half-life, i.e. the attitude of one science community towards used information resources and cognitive heritage. The analyzed corpus of 22,210 citations can be divided into three communication phases according to influence factor criteria: in the phase of dialogue and interactive communication 25% of bibliographic units are cited in the first four years; in the second phase another 25% of units are cited from the fifth to the ninth year; after ten years, in the dominant linear communication phase, approximately 30% of units are cited.

  8. Investigating important factors influencing purchasing from chains

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2012-04-01

    Full Text Available In this paper, we survey important factors, influencing customers to buy more from one of well known food market operating in capital city of Iran named Shahrvand. The survey studies the effects of six factors including customer's perception, persuasive factors, brand, customers' expectations, product's characteristics and special features of store on attracting more customers. We have distributed questionnaire among 196 customers who regularly visit stores and analyzed details of the data. The results indicate that customers' perception is the most important item, which includes eight components. Years of experience is the most important item in our survey followed by impact of color and working hours. Diversity of services is another factor, which plays the most important role followed by quality of services. Next, fidelity and brand are other most important factors and the name of store and risk are in lower degree of importance.

  9. Factors Influencing Colorectal Cancer Screening Participation

    Directory of Open Access Journals (Sweden)

    Antonio Z. Gimeno García

    2012-01-01

    Full Text Available Colorectal cancer (CRC is a major health problem worldwide. Although population-based CRC screening is strongly recommended in average-risk population, compliance rates are still far from the desirable rates. High levels of screening uptake are necessary for the success of any screening program. Therefore, the investigation of factors influencing participation is crucial prior to design and launches a population-based organized screening campaign. Several studies have identified screening behaviour factors related to potential participants, providers, or health care system. These influencing factors can also be classified in non-modifiable (i.e., demographic factors, education, health insurance, or income and modifiable factors (i.e., knowledge about CRC and screening, patient and provider attitudes or structural barriers for screening. Modifiable determinants are of great interest as they are plausible targets for interventions. Interventions at different levels (patient, providers or health care system have been tested across the studies with different results. This paper analyzes factors related to CRC screening behaviour and potential interventions designed to improve screening uptake.

  10. Influence of organizational factors on safety

    International Nuclear Information System (INIS)

    Haber, S.B.; Metlay, D.S.; Crouch, D.A.

    1990-01-01

    There is a need for a better understanding of exactly how organizational management factors at a nuclear power plant (NPP) affect plant safety performance, either directly or indirectly, and how these factors might be observed, measured, and evaluated. The purpose of this research project is to respond to that need by developing a general methodology for characterizing these organizational and management factors, systematically collecting information on their status and integrating that information into various types of evaluative activities. Research to date has included the development of the Nuclear Organization and Management Analysis Concept (NOMAC) of a NPP, the identification of key organizational and management factors, and the identification of the methods for systematically measuring and analyzing the influence of these factors on performance. Most recently, two field studies, one at a fossil fuel plant and the other at a NPP, were conducted using the developed methodology. Results are presented from both studies highlighting the acceptability, practicality, and usefulness of the methods used to assess the influence of various organizational and management factors including culture, communication, decision-making, standardization, and oversight. 6 refs., 3 figs., 1 tab

  11. Factors Influencing Seminar Learning and Academic Achievement.

    Science.gov (United States)

    Spruijt, Annemarie; Leppink, Jimmie; Wolfhagen, Ineke; Bok, Harold; Mainhard, Tim; Scherpbier, Albert; van Beukelen, Peter; Jaarsma, Debbie

    2015-01-01

    Many veterinary curricula use seminars, interactive educational group formats in which some 25 students discuss questions and issues relating to course themes. To get indications on how to optimize the seminar learning process for students, we aimed to investigate relationships between factors that seem to be important for the seminar learning process, and to determine how these seminar factors account for differences in students' achievement scores. A 57-item seminar evaluation (USEME) questionnaire was administered to students right after they attended a seminar. In total, 80 seminars distributed over years 1, 2, and 3 of an undergraduate veterinary medicine curriculum were sampled and 988 questionnaires were handed in. Principal factor analysis (PFA) was conducted on 410 questionnaires to examine which items could be grouped together as indicators of the same factor, and to determine correlations between the derived factors. Multilevel regression analysis was performed to explore the effects of these seminar factors and students' prior achievement scores on students' achievement scores. Within the questionnaire, four factors were identified that influence the seminar learning process: teacher performance, seminar content, student preparation, and opportunities for interaction within seminars. Strong correlations were found between teacher performance, seminar content, and group interaction. Prior achievement scores and, to a much lesser extent, the seminar factor group interaction appeared to account for differences in students' achievement scores. The factors resulting from the present study and their relation to the method of assessment should be examined further, for example, in an experimental setup.

  12. Ranking different factors influencing flight delay

    Directory of Open Access Journals (Sweden)

    Meysam Kazemi Asfe

    2014-07-01

    Full Text Available Flight interruption is one of the most important issues in today’s airline industry. Every year, most airlines spend significant amount of money to compensate flight delays. Therefore, it is important to detect important factors influencing on flight delays. This paper presents an empirical investigation to determine important factors on this issue. The study also asks some decision makers to make pairwise comparison and ranks various factors using the art of analytical hierarchy process. The study determines that technical defects and delayed entry were among the most important factors to blame for flight delays. In addition, announcing the postponement, replacement aircraft and path replacement are among the most important decisions facing managers in the aviation industry during the disruption of the flight.

  13. Microencapsulation techniques, factors influencing encapsulation efficiency.

    Science.gov (United States)

    Jyothi, N Venkata Naga; Prasanna, P Muthu; Sakarkar, Suhas Narayan; Prabha, K Surya; Ramaiah, P Seetha; Srawan, G Y

    2010-05-01

    Microencapsulation is one of the quality preservation techniques of sensitive substances and a method for production of materials with new valuable properties. Microencapsulation is a process of enclosing micron-sized particles in a polymeric shell. There are different techniques available for the encapsulation of drug entities. The encapsulation efficiency of the microparticle or microsphere or microcapsule depends upon different factors like concentration of the polymer, solubility of polymer in solvent, rate of solvent removal, solubility of organic solvent in water, etc. The present article provides a literature review of different microencapsulation techniques and different factors influencing the encapsulation efficiency of the microencapsulation technique.

  14. Psychological Factors Influencing Life Satisfaction of Undergraduates

    OpenAIRE

    Ajayi, Olubukola; Adewumi, Bukunmi

    2017-01-01

    This study was designed to assess the psychological factors influencing life satisfaction of undergraduates. The instruments used were Perceived Stress Scale (PSS), Wong and Law Emotional Intelligence Scale (WLEIS), Rosenberge Self-esteem Scale (RSS), and Satisfaction with Life Scale (SWLS). A total number of 190 participants were purposively selected across various faculties in Ekiti State University. Four hypotheses were tested using Independent t-test to find the effects of perceived stres...

  15. FACTORS INFLUENCING THE MANAGEMENT OF ADHD

    OpenAIRE

    S ARMAN; M SOLTANI

    2003-01-01

    Introduction: Attention deficit hyperactivity disorder (ADHD)is the most common psychiatric disorder among school age children. It consists of hyperactivity, inattention and impulsive behavior. The onset of the disorder is before the age of 7 years and it happens at least in two situations. It causes significant impairment in social and academic functioning. A determination of factors that influences the therapeutic response in ADHD is the aim of this study. Methods: This study is design...

  16. Abiotic factors influencing tropical dry forests regeneration

    OpenAIRE

    Ceccon,Eliane; Huante,Pilar; Rincón,Emanuel

    2006-01-01

    Tropical dry forests represent nearly half the tropical forests in the world and are the ecosystems registering the greatest deterioration from the anthropogenic exploitation of the land. This paper presents a review on the dynamics of tropical dry forests regeneration and the main abiotic factors influencing this regeneration, such as seasonal nature, soil fertility and humidity, and natural and anthropic disturbances. The main purpose is to clearly understand an important part of TDF succes...

  17. Factors influencing competitive anxiety in Brazilian athletes

    OpenAIRE

    Marcos Gimenes Fernandes; Sandra Adriana Neves Nunes; José Vasconcelos Raposo; Helder Miguel Fernandes

    2013-01-01

    DOI: http://dx.doi.org/10.5007/1980-0037.2013v15n6p705 The study of factors influencing competitive anxiety, according to a multidimensional perspective and supported by valid instruments, is scarce among Brazilian athletes of different sports. The present study aims to: i) investigate the theoretical relationship between the different dimensions of the multidimensional theory of anxiety (i.e., cognitive anxiety, somatic anxiety and self-confidence); and ii) investigate the effects of gen...

  18. Abiotic factors influencing tropical dry forests regeneration

    Directory of Open Access Journals (Sweden)

    Ceccon Eliane

    2006-01-01

    Full Text Available Tropical dry forests represent nearly half the tropical forests in the world and are the ecosystems registering the greatest deterioration from the anthropogenic exploitation of the land. This paper presents a review on the dynamics of tropical dry forests regeneration and the main abiotic factors influencing this regeneration, such as seasonal nature, soil fertility and humidity, and natural and anthropic disturbances. The main purpose is to clearly understand an important part of TDF succession dynamics.

  19. Comparison of the Economic Factors that Influence Foreign Direct ...

    African Journals Online (AJOL)

    The study determined the compound growth rate of FDI and the factors influencing its inflow in India and Nigeria. The study showed that the time series data were non-stationary but differenced stationary and their cointegration residual and error correction model regression showed a long-term relationship and a same time ...

  20. Factors that influence the acceptance of telemetry by emergency medical technicians in ambulances: an application of the extended technology acceptance model.

    Science.gov (United States)

    Hwang, Ji Young; Kim, Ki Young; Lee, Kang Hyun

    2014-12-01

    The aim of the study was to verify the effects of patient factors perceived by emergency medical technicians (EMTs) as well as their social and organizational factors on prehospital telemetry use intention based on the technology use intention and elaboration likelihood models. This is a retrospective empirical study. Questionnaires were developed on the basis of clinical factors of 72,907 patients assessed by prehospital telemetry from January 1, 2009 to April 30, 2012 by reviewing their prehospital medical care records and in-hospital medical records. Questionnaires regarding the social and organizational factors of EMTs were created on the basis of a literature review. To verify which factors affect the utilization of telemetry, we developed a partial least-squares route model on the basis of each characteristic. In total, 136 EMTs who had experience in using prehospital telemetry were surveyed from April 1 to April 7, 2013. Reliability, validity, hypotheses, and the model goodness of fit of the study tools were tested. The clinical factors of the patients (path coefficient=-0.12; t=2.38), subjective norm (path coefficient=0.18; t=2.63), and job fit (path coefficient=0.45; t=5.29) positively affected the perceived usefulness (ptelemetry by EMTs in ambulances included patients' clinical factors, as well as complex organizational and environmental factors surrounding the EMTs' occupational environments. This suggests that the rapid use intention and dissemination of such systems require EMTs to be supported at both the technical and organizational levels.

  1. A Review of Factors Influencing Health Inequalities

    Directory of Open Access Journals (Sweden)

    Hassan Almaspoor Khanghah

    2016-01-01

    Full Text Available ​Background and Objectives : Inequity in health is a universal term which is used for showing current differences, variations and inequalities of people in accessing to health services. The current study aimed to assess the factors influencing health inequalities to present the results to the researchers and health care professionals. Material and Methods : In this review, several databases including PubMed, Proquest, Scopus, Google Scholar search engine, SID and IranDoc were searched within 2000-2014 period. We found 746 articles and refined them step by step according to the aim of the study by reviewing the titles, abstracts and full texts. Finally, 16 articles were selected for further study Results: In the present study, identified determinants in health inequalities were as follows: 1- Economic and income factors 2- Political factors, social and public policy 3- Cultural and social values 4- social and demographic factors 5- Behavioral, psychological and biological factors. Although, other factors like governmental, international, social cohesion, incidents and even the health system itself were involved in health inequalities, but the listed determinants were among the most important determinants in health inequalities in the conducted studies. Conclusion : Given the importance of people's health and inequalities in health, the approach should focus on reducing the inequalities in all policies and development programs and the role of these factors should be taken into consideration by managers and policy-makers

  2. [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.

  3. [Establishment of an artificial neural network model for analysis of the influence of climate factors on the density of Aedes albopictus].

    Science.gov (United States)

    Yu, De-xian; Lin, Li-feng; Luo, Lei; Zhou, Wen; Gao, Lu-lu; Chen, Qing; Yu, Shou-yi

    2010-07-01

    To establish a model for predicting the density of Aedes albopictus based on the climate factors. The data of Aedes albopictus density and climate changes from 1995 to 2001 in Guangzhou were collected and analyzed. The predicting model for Aedes albopictus density was established using the Artificial Neural Network Toolbox of Matlab 7.0 software package. The climate factors used to establish the model included the average monthly pressure, evaporation capacity, relative humidity, sunshine hour, temperature, wind speed, and precipitation, and the established model was tested and verified. The BP network model was established according to data of mosquito density and climate factors. After training the neural network for 25 times, the error of performance decreased from 0.305 539 to 2.937 51x10(-14). Verification of the model with the data of mosquito density showed a concordance rate of prediction of 80%. The neural network model based on the climate factors is effective for predicting Aedes albopictus density.

  4. A study on influencing factors of combined electrolysis catalytic

    International Nuclear Information System (INIS)

    Xia Xiulong

    2008-01-01

    The influencing factors on CECE's separation performance was comprehensively investigated with a theoretical model. The separation factor of electrolysis cell has a remarkable influence on stripping efficiency and enrichment, and it is an effective way to improve enrichment by decreasing holdup of electrolysis cell. The separation performance at feeding point 1.5 m is better than that of 3 m, stripping efficiency and enrichment has a linear relationship with mass transfer coefficient in the range 3-4 mol · m -3 · s -1 . For all influencing factors, HD/H 2 O and HT/H 2 O have similar tendency, and HT/H 2 O has better separation performance than HD/H 2 O for the inherent thermodynamic difference of the two systems. (authors)

  5. Internal factors influencing the knowledge continuity ensuring

    Directory of Open Access Journals (Sweden)

    Hana Urbancová

    2012-01-01

    Full Text Available The aim of the systematic ensuring of knowledge continuity is the continuity of an organisation’s development, the quality of managerial positions and the continuity of decision-making. By ensuring knowledge continuity, organisations may gain a performance-enhancing factor. The objective of the article is to identify the level of impact of decisive internal factors determining knowledge continuity ensuring and contributing to the efficiency of the organisations. Knowledge continuity ensuring as an internal force, however, can together with the right employees, help adapt more quickly to external conditions that organisations can hardly control. Monitoring and ensuring knowledge continuity can contribute to a higher quality of processes in general, in particular processes exploiting knowledge, and thus help improve the level of management. The first part of the article presents theoretical views on the aspects of knowledge continuity ensuring in organisations while the second part analyses the findings of the surveys carried out among managers in organisations in the Czech Republic. Based on the summary of the outcomes obtained it is possible to say that internal factors influence knowledge continuity ensuring in organisations, however, the level of impact of individual factors is determined by their size. The findings regarding the impact of each of the factors show that the most significant barriers to knowledge continuity ensuring are those associated with the human factor.

  6. Factors influencing internal color of cooked meats.

    Science.gov (United States)

    Suman, Surendranath P; Nair, Mahesh N; Joseph, Poulson; Hunt, Melvin C

    2016-10-01

    This manuscript overviews the pertinent research on internal color of uncured cooked meats, biochemical processes involved in meat cookery, and fundamental mechanisms governing myoglobin thermal stability. Heat-induced denaturation of myoglobin, responsible for the characteristic dull-brown color of cooked meats, is influenced by a multitude of endogenous (i.e., pH, muscle source, species, redox state) and exogenous (i.e., packaging, ingredients, storage) factors. The interactions between these factors critically influence the internal cooked color and can confuse the consumers, who often perceive cooked color to be a reliable indicator for doneness and safety. While certain phenomena in cooked meat color are cosmetic in nature, others can mislead consumers and result in foodborne illnesses. Research in meat color suggests that processing technologies and cooking practices in industry as well as households influence the internal cooked color. Additionally, the guidelines of many international public health and regulatory authorities recommend using meat thermometers to determine safe cooking endpoint temperature and to ensure product safety. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. 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

  8. Factors influencing thermal tolerances of individual organisms

    International Nuclear Information System (INIS)

    Hutchison, V.H.

    1976-01-01

    The diversity of experimental methods and terminology employed by investigators to measure the effects of high temperatures on individual organisms, plus the often overlooked complexities of the holocoenotic environment, has often led to disconcerting conclusions. A plea is made for standardization of testing methods and for a wider appreciation of factors that may alter thermal tolerances. The influence of elevated temperature is grouped into three categories, lethal effects, controlling effects, and directive effects, all of which should be considered in assessing the impact of thermal effluent on organisms. In addition, the terminology (acclimation, acclimatization, adaptation, habituation, lethal temperature, critical thermal maximum, etc.) needs standardized definitions. The important factors influencing thermal effects on organisms include photoperiod, seasonal and daily cycles, geographic variation, diet, sex, breeding condition, age, life-cycle stage, salinity, chemicals, body water content and partitioning, oxygen supply, pH, innate and learned behavior, history of thermal exposure, sublethal exposure to limiting factors, and experimental methods. Examples of most of these are given to illustrate the role of temperature in the holocoenotic environmental complex of individual organisms

  9. Environmental factors influencing the development of atherosclerosis

    Directory of Open Access Journals (Sweden)

    Andrzej Brodziak

    2013-12-01

    Full Text Available The aim of the paper is to present an overview of recent findings on the environmental and behavioral factors influencing the development of atherosclerosis. The authors primarily concentrated on deliberations of possibile main causes of the damage of the endothelium. At the same time the following pathogenic mechanisms as cellular dysfunction, inflammation and coagulation disorders have been enumerated. The links between the state of the vascular endothelium and life style have been emphasized. It is also important to note that the primary causes of the endothelial damage should be traced as originally suggested many years ago viewing such factors as anger, hostility, aggression, impulsiveness and depression but with a new approach. The authors supplement the comments, on the environmental factors influencing the development of atherosclerosis, with basic data on family predisposition to the development of this disease. They highlight that current genetic research have not determined genes responsible for atheroscelosis. According to the authors the considerations and conclusions presented in this overview are important for the educational purposes related to the most frequent disease process resulting in many diseases in medical disciplines.

  10. [New nurse turnover intention and influencing factors].

    Science.gov (United States)

    Han, Sang Sook; Sohn, In Soon; Kim, Nam Eun

    2009-12-01

    The study was done to identify turnover intention in new nurses according to characteristics of the nurses and other factors affecting turnover and to provide data to set up a strategy to reduce the turnover. Data were collected from 1,077 new nurses who had less than 12 months employment experience and worked in one of 188 hospitals. Eight research instruments were used. Data analysis was done using SPSS WIN 15.0 program. Several factors influence new nurse turnover intention. The average score for turnover intention was 2.12. The scores for subscales were self efficacy, 3.76, nursing performance, 3.90, job satisfaction, 2.09, organization commitment, 1.28, stress, 1.32, burnout, 2.82 and nursing organizational culture, 3.29. Turnover intention was related to self efficacy, nursing performance, job satisfaction, organization commitment, stress, burnout, nursing organizational culture, duration of in-class training, duration of on the job training, number of hospital beds, length of employment and duration of employment in current workplace. The predicting factors for turnover intention were burnout, stress, duration of employment in the current workplace, self efficacy and nursing performance. Those factors explained 51.6% of turnover intention. New nurse turnover intention can be reduced by mitigating the factors affecting this intention.

  11. [Factors influenceing the activity of oral anticoagulants].

    Science.gov (United States)

    González Caamaño, A; Díaz Barreiro, L A

    1976-01-01

    Anticoagulants are drugs capable to retard or even cancell the process of blood coagulation. They are many factors who influences the intensity and duration of oral anticoagulant acitivity, such as drugs, body constitution, physical agents, diseases, etc. The oral anticoagulants interacts with other drugs at differents levels: at the gut, at the plasma, modiffing the protein binding or the metabolism of such drugs, at the enzimatic induction or inhibition, or at unknown places with many other drugs. These paper deals with the description of such interactions.

  12. A survey on factors influencing city branding

    Directory of Open Access Journals (Sweden)

    Seyed Mohsen Mahmoudzadeh

    2014-10-01

    Full Text Available Nowadays, the issue of “globalization” is entering to all areas in the world. In addition to products and companies, cities and countries also have the opportunity to see themselves as important actors in international arena. Places define their positions in different fields like business, leisure and recreation, educational opportunities, living, etc. This paper presents an empirical study to introduce city branding as one of the solutions to join globalization process. The method of this research is based on the “descriptive-analytic” and utilize the available literature and experts’ opinions to prioritize the influencing factors of city branding. We use Delphi consensus methods and technique of analytical hierarchy process to evaluate the factors. Finally, the results of the study indicate that security, transportation and mental creativity are the weakest fields and business and shopping facilities are strong fields of city branding in metropolitan of Tehran.

  13. Automation bias: empirical results assessing influencing factors.

    Science.gov (United States)

    Goddard, Kate; Roudsari, Abdul; Wyatt, Jeremy C

    2014-05-01

    To investigate the rate of automation bias - the propensity of people to over rely on automated advice and the factors associated with it. Tested factors were attitudinal - trust and confidence, non-attitudinal - decision support experience and clinical experience, and environmental - task difficulty. The paradigm of simulated decision support advice within a prescribing context was used. The study employed within participant before-after design, whereby 26 UK NHS General Practitioners were shown 20 hypothetical prescribing scenarios with prevalidated correct and incorrect answers - advice was incorrect in 6 scenarios. They were asked to prescribe for each case, followed by being shown simulated advice. Participants were then asked whether they wished to change their prescription, and the post-advice prescription was recorded. Rate of overall decision switching was captured. Automation bias was measured by negative consultations - correct to incorrect prescription switching. Participants changed prescriptions in 22.5% of scenarios. The pre-advice accuracy rate of the clinicians was 50.38%, which improved to 58.27% post-advice. The CDSS improved the decision accuracy in 13.1% of prescribing cases. The rate of automation bias, as measured by decision switches from correct pre-advice, to incorrect post-advice was 5.2% of all cases - a net improvement of 8%. More immediate factors such as trust in the specific CDSS, decision confidence, and task difficulty influenced rate of decision switching. Lower clinical experience was associated with more decision switching. Age, DSS experience and trust in CDSS generally were not significantly associated with decision switching. This study adds to the literature surrounding automation bias in terms of its potential frequency and influencing factors. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  14. What factors influence British medical students' career intentions?

    Science.gov (United States)

    Ibrahim, Michael; Fanshawe, Angela; Patel, Vanash; Goswami, Karan; Chilvers, Geoffrey; Ting, Michelle; Pilavakis, Yiannis; Rao, Christopher; Athanasiou, Thanos

    2014-12-01

    The aim of this study was to identify factors that influence career choice in UK medical students. Students at seven institutions were invited to rate how important various factors were on influencing their career choices and how interested they were in pursuing different specialties. The influence of interpersonal relationship networks on career choice was also evaluated. 641 responses were collected. 44% (283) were male, 16% (105) were graduates and 41% (263) were final-year students. For Dermatology (p = 0.009), Paediatrics (p = 0.000), Radiology (p = 0.000), Emergency Medicine (p = 0.018) and Cardiothoracic Surgery (p = 0.000), there was a clear correlation between completing a clinical attachment and an interest in pursuing the specialty. Perceived characteristics of the speciality, individually and in clusters were considered important by specific subgroups of students, such as those interested in surgery. These students considered prestige (p = 0.0003), role models (p = 0.014), financial rewards after training (p = 0.0196) and technical challenge (p = 0.0011) as important factors. Demographics such as sex and age played a significant role in career choice. Interpersonal relationship networks do not have a significant influence on career intentions. This study shows that the career intentions of British medical students are influenced by their undergraduate experience and by the weight they place on different specialty-related factors.

  15. Factorization of the Ising model form factors

    International Nuclear Information System (INIS)

    Assis, M; McCoy, B M; Maillard, J-M

    2011-01-01

    We present a general method for analytically factorizing the n-fold form factor integrals f (n) N,N (t) for the correlation functions of the Ising model on the diagonal in terms of the hypergeometric functions 2 F 1 ([1/2, N + 1/2]; [N + 1]; t) which appear in the form factor f (1) N,N (t). New quadratic recursion and quartic identities are obtained for the form factors for n = 2, 3. For n = 2, 3, 4 explicit results are given for the form factors. These factorizations are proved for all N for n = 2, 3. These results yield the emergence of palindromic polynomials canonically associated with elliptic curves. As a consequence, understanding the form factors amounts to describing and understanding an infinite set of palindromic polynomials, canonically associated with elliptic curves. From an analytical viewpoint the relation of these palindromic polynomials with hypergeometric functions associated with elliptic curves is made very explicitly, and from a differential algebra viewpoint this corresponds to the emergence of direct sums of differential operators homomorphic to symmetric powers of a second order operator associated with elliptic curve.

  16. Influencing Factors on Life-Cycle Cost of Mooring Facilities

    Science.gov (United States)

    Sato, Wataru; Yokota, Hiroshi; Hashimoto, Katsufumi; Furuya, Koichi; Kato, Hirotoshi

    It is required that infrastructure should satisfy performance requirement through their service life based on an appropriate life cycle management strategy. Now adays, to determine the maintenance strategy and to consider the appropriate timing and method of intervention, the life-cycle cost (LCC) has been widely used as one of the decision-making indices. However, many factors influence on the estimation of LCC and they have not been adequately investigated. In this paper, the authors have made analytical investigation to quantify the influence of important factors on the results of LCC estimation. Four kinds of mooring facilities are focused; two of them are open-type wharves and the other two are sheet pile type quay walls having different design water depths. Prediction of deterioration progress and performance degradation is made by using the Markov models. The influences of structural sizes, transition probability in the Markov model, design service life, periodic inspection and methods of intervention on LCC were investigated. The influence of those factors has been discussed based on the calculated results of LCC by creating the maintenance scenarios for model mooring facilities.

  17. Factors influencing seed germination in Cerrado grasses

    Directory of Open Access Journals (Sweden)

    Rosana Marta Kolb

    2016-03-01

    Full Text Available Few studies address the ecology of herbs of Cerrado grasslands, which are ecosystems where the long dry season, high temperatures, insolation, fire and invasive grasses greatly influencing germination and the establishment of plants. We assessed germination of 13 species of Poaceae from Cerrado grasslands under nursery conditions or in germination chambers, the latter with i recently collected seeds and seeds after six months storage, ii under constant and alternating temperatures, and iii in the presence and absence of light. Germinability, mean germination time (MGT and required light were quantified to elucidate factors involved in successful germination. Germinability was low for most grasses, probably because of low seed viability. For most species, germinability and MGT were not altered by seed storage. Germination percentages were higher at alternating temperatures and in the presence of light, factors that are more similar to natural environmental situations compared with constant temperature or the absence of light. Our findings indicate that alternating temperatures and light incidence are key factors for germination of species of Poaceae. The maintenance of these environmental factors, which are crucial for the conservation of Cerrado grasslands, depends on appropriate management interventions, such as fire management and the control of biological invasion.

  18. Factors that influence nurses' job satisfaction.

    Science.gov (United States)

    Ma, Chen-Chung; Samuels, Michael E; Alexander, Judith W

    2003-05-01

    To examine factors affecting the job satisfaction of registered nurses (RNs). A growing recognition of job dissatisfaction among RNs in South Carolina hospitals has contributed to current problems with recruitment and retention. If administrators identify factors influencing RNs' job satisfaction in hospitals and implement strategies to address these factors, RN turnover rates will decrease and recruiting and retention rates will increase. A cross-sectional study of secondary data was designed to identify the individual, work, and geographic factors that impact nursing job satisfaction at the state level. A 27-question self-administered survey was sent to 17,500 RNs in South Carolina with postage-paid envelopes for their responses. Surveys from 3472 nurses were completed anonymously. Univariate statistics were used to describe the study sample. One-way and multivariable Analysis of Variance were used to determine which variables contributed the most to job satisfaction. For about two thirds of the RNs, job satisfaction remained the same or had lessened over the past 2 years. In addition, statistically significant differences were found between job satisfaction and years of service, job position, hospital retirement plan, and geographic area. The findings have implications for nurse managers and hospital administrators for planning and implementing effective health policies that will meet the unique needs of their staffs and organizations. Such research is particularly relevant in this difficult time of nursing shortages throughout the healthcare industry.

  19. Factors Influencing Acceptance Of Contraceptive Methods

    Directory of Open Access Journals (Sweden)

    Anita Gupta

    1997-04-01

    Full Text Available Research Problem: What are the factors influencing acceptance of contraceptive methods.Objective: To study the determinants influencing contra­ceptive acceptance.Study design: Population based cross - sectional study.Setting: Rural area of East DelhiParticipants: Married women in the reproductive age group.Sample:Stratified sampling technique was used to draw the sample.Sample Size: 328 married women of reproductive age group.Study Variables: Socio-economic status, Type of contraceptive, Family size, Male child.Outcome Variables: Acceptance of contraceptivesStatistical Analysis: By proportions.Result: Prevalence of use of contraception at the time of data collection was 40.5%. Tubectomy and vasectomy were most commonly used methods. (59.4%, n - 133. Educational status of the women positively influenced the contraceptive acceptance but income did not. Desire for more children was single most important deterrent for accepting contraception.Recommendations:(i             Traditional method of contraception should be given more attention.(ii            Couplesshould be brought in the contraceptive use net at the early stage of marriage.

  20. Surgical factors influencing mesiodistal implant angulation.

    Science.gov (United States)

    Payer, Michael; Kirmeier, Robert; Jakse, Norbert; Pertl, Christof; Wegscheider, Walther; Lorenzoni, Martin

    2008-03-01

    The aim of this experimental study was to identify relevant surgical parameters influencing the mesiodistal angular deviation of dental implants. Pilot drillings of 2 mm diameter were performed in bovine ribs with a parallelometer. The subsequent preparation of the implant socket was performed freehand. Utilizing six different implant systems, at least 80 drillings per system of different diameters were performed. The pilot drillings were marked with 2 mm steel pins and cephalometric radiographs were taken. The mesiodistal angle between the longitudinal implant axis and the marked pilot drillings was measured and evaluated by a blinded investigator. To evaluate the influence of the surgeons' experience, their drillings were compared with those of a group of unexperienced surgeons. Additionally, the influence of drilling speed and size of bur steps on drilling accuracy were evaluated. The difference between the lowest value of 0.91 degrees of mesiodistal angular deviation found for 3i implants and the highest of 1.36 degrees for Ankylos implants was of low statistical significance (P=0.065). Drillings of experienced surgeons showed less deviation compared with those of a beginners group (P<0.0001). Higher deviations were measured when a bur size was skipped. Drillings performed at high speed showed significantly higher deviations than those with fewer rewinds per minute. In order to achieve precise implant angulation, all bur diameters available should be used. Utilizing low drilling speeds results in less mesiodistal deviation. The surgeon's experience seems to be the most relevant factor in precise implant placement.

  1. Factors influencing US medical students' decision to pursue surgery.

    Science.gov (United States)

    Schmidt, Lauren E; Cooper, Clairice A; Guo, Weidun Alan

    2016-06-01

    Interest and applications to surgery have steadily decreased over recent years in the United States. The goal of this review is to collect the current literature regarding US medical students' experience in surgery and factors influencing their intention to pursue surgery as a career. We hypothesize that multiple factors influence US medical students' career choice in surgery. Six electronic databases (PubMed, SCOPUS, Web of Science, Education Resources Information Center, Embase, and PsycINFO) were searched. The inclusion criteria were studies published after the new century related to factors influencing surgical career choice among US medical students. Factors influencing US medical student surgical career decision-making were recorded. A quality index score was given to each article selected to minimize risk of bias. We identified 38 relevant articles of more than 1000 nonduplicated titles. The factors influencing medical student decision for a surgical career were categorized into five domains: mentorship and role model (n = 12), experience (clerkship n = 9, stereotype n = 4), timing of exposure (n = 9), personal (lifestyle n = 8, gender n = 6, finance n = 3), and others (n = 2). This comprehensive systemic review identifies mentorship, experience in surgery, stereotypes, timing of exposure, and personal factors to be major determinants in medical students' decisions to pursue surgery. These represent areas that can be improved to attract applicants to general surgery residencies. Surgical faculty and residents can have a positive influence on medical students' decisions to pursue surgery as a career. Early introduction to the field of surgery, as well as recruitment strategies during the preclinical and clinical years of medical school can increase students' interest in a surgical career. Copyright © 2016 Elsevier Inc. All rights reserved.

  2. What Factors Influence Knowledge Sharing in Organizations?

    DEFF Research Database (Denmark)

    Razmerita, Liana; Kirchner, Kathrin; Nielsen, Pia

    2016-01-01

    the motivation of employees to share knowledge. The model is tested using statistical methods on a sample of 114 respondents in Denmark. Qualitative data is used to elaborate and explain quantitative findings. Findings: Our findings pinpoint towards the general drivers and barriers to knowledge sharing within...... knowledge sharing framework helps to understand what factors impact engagement on social media. Furthermore the article suggests different types of interventions to overcome the social dilemma of knowledge sharing. Originality/value: The study contributes to an understanding of factors leading...

  3. Evaluation of the efficacy of factors influencing on marketing SMEs

    Directory of Open Access Journals (Sweden)

    Mona Yaghoubi

    2014-07-01

    Full Text Available This paper presents an empirical investigation to study the effects of different factors influencing on marketing in small and medium enterprises (SMEs in city of Tehran, Iran. The study has been accomplished among 57 SMEs out of 70 active business units who were involved in hand made carpet. The survey uses a questionnaire originally developed by Merrilees et al. (2011 [Merrilees, B., Rundle-Thiele, S., & Lye, A. (2011. Marketing capabilities: Antecedents and implications for B2B SME performance. Industrial Marketing Management, 40(3, 368-375.] to determine the factors influencing on marketing SMEs. Using structural equation modeling, the results of survey indicate that market orientation, management capability, innovation capability and brand capability of SME's marketing performance influence on development of marketing, positively.

  4. The Influence Factors and Mechanism of Societal Risk Perception

    Science.gov (United States)

    Zheng, Rui; Shi, Kan; Li, Shu

    Risk perception is one of important subjects in management psychology and cognitive psychology. It is of great value in the theory and practice to investigate the societal hazards that the public cares a lot especially in Socio-economic transition period. A survey including 30 hazards and 6 risk attributes was designed and distributed to about 2, 485 residents of 8 districts, Beijing. The major findings are listed as following: Firstly, a scale of societal risk perception was designed and 2 factors were identified (Dread Risk & Unknown Risk). Secondly, structural equation model was used to analyze the influence factors and mechanism of societal risk perception. Risk preference, government support and social justice could influence societal risk perception directly. Government support fully moderated the relationship between government trust and societal risk perception. Societal risk perception influenced life satisfaction, public policy preferences and social development belief.

  5. Analysis of nanomechanical properties of Borrelia burgdorferi spirochetes under the influence of lytic factors in an in vitro model using atomic force microscopy.

    Science.gov (United States)

    Tokarska-Rodak, Małgorzata; Kozioł-Montewka, Maria; Skrzypiec, Krzysztof; Chmielewski, Tomasz; Mendyk, Ewaryst; Tylewska-Wierzbanowska, Stanisława

    2015-11-12

    Atomic force microscopy (AFM) is an experimental technique which recently has been used in biology, microbiology, and medicine to investigate the topography of surfaces and in the evaluation of mechanical properties of cells. The aim of this study was to evaluate the influence of the complement system and specific anti-Borrelia antibodies in in vitro conditions on the modification of nanomechanical features of B. burgdorferi B31 cells. In order to assess the influence of the complement system and anti-Borrelia antibodies on B. burgdorferi s.s. B31 spirochetes, the bacteria were incubated together with plasma of identified status. The samples were applied on the surface of mica disks. Young's modulus and adhesive forces were analyzed with a NanoScope V, MultiMode 8 AFM microscope (Bruker) by the PeakForce QNM technique in air using NanoScope Analysis 1.40 software (Bruker). The average value of flexibility of spirochetes' surface expressed by Young's modulus was 10185.32 MPa, whereas the adhesion force was 3.68 nN. AFM is a modern tool with a broad spectrum of observational and measurement abilities. Young's modulus and the adhesion force can be treated as parameters in the evaluation of intensity and changes which take place in pathogenic microorganisms under the influence of various lytic factors. The visualization of the changes in association with nanomechanical features provides a realistic portrayal of the lytic abilities of the elements of the innate and adaptive human immune system.

  6. Lentivector Integration Sites in Ependymal Cells From a Model of Metachromatic Leukodystrophy: Non-B DNA as a New Factor Influencing Integration

    Science.gov (United States)

    McAllister, Robert G; Liu, Jiahui; Woods, Matthew W; Tom, Sean K; Rupar, C Anthony; Barr, Stephen D

    2014-01-01

    The blood–brain barrier controls the passage of molecules from the blood into the central nervous system (CNS) and is a major challenge for treatment of neurological diseases. Metachromatic leukodystrophy is a neurodegenerative lysosomal storage disease caused by loss of arylsulfatase A (ARSA) activity. Gene therapy via intraventricular injection of a lentiviral vector is a potential approach to rapidly and permanently deliver therapeutic levels of ARSA to the CNS. We present the distribution of integration sites of a lentiviral vector encoding human ARSA (LV-ARSA) in murine brain choroid plexus and ependymal cells, administered via a single intracranial injection into the CNS. LV-ARSA did not exhibit a strong preference for integration in or near actively transcribed genes, but exhibited a strong preference for integration in or near satellite DNA. We identified several genomic hotspots for LV-ARSA integration and identified a consensus target site sequence characterized by two G-quadruplex-forming motifs flanking the integration site. In addition, our analysis identified several other non-B DNA motifs as new factors that potentially influence lentivirus integration, including human immunodeficiency virus type-1 in human cells. Together, our data demonstrate a clinically favorable integration site profile in the murine brain and identify non-B DNA as a potential new host factor that influences lentiviral integration in murine and human cells. PMID:25158091

  7. FACTORS INFLUENCING FOOD NEOPHOBIA. A BRIEF REVIEW

    Directory of Open Access Journals (Sweden)

    STOICA Maricica

    2016-12-01

    Full Text Available Nowadays, the number of new food products has increased considerably. Nevertheless, not all new food products are accepted and understood by consumers, the innovations in the food sector are often not well received by the market, partly due to a phenomenon known as food neophobia. Food neophobia, a general aversion to try new or unfamiliar foods, has a major impact on preferences, selection and food product acceptability. The neophobic consumers tend to display negative attitudes and less pleasure in relation to new food products. Food neophobia is based on three main reasons for rejection of a food, such as: dislike of its sensory characteristics, fear of negative consequences of eating it, and disgust arising from the idea of the food’s nature or origin. Phobia towards the introduction of unfamiliar foods in the diet can occur for several different factors, such as: socio-demographic characteristics, education level and lifestyle, degree of urbanization, income level, arousal, personal experiences, advertising, fashion, advices of other persons, and habits. This review paper was designed to provide up-to-date relevant information on factors influencing food neophobia, like social factors, type of new food, education, and arousal. The scientific information presented here could help food scientists in new food development, and food companies to develop the best marketing strategies that lead to a general decrease in neophobic consumers’ behaviour. The application of appropriate marketing strategies may allow the product to reach a competitive advantage and be successful.

  8. Evaluation of Factors Influencing Job Satisfaction

    Directory of Open Access Journals (Sweden)

    Barbara A. Sypniewska

    2014-03-01

    Full Text Available The term “job satisfaction” is derived from the humanities, psychology and sociology. In the field of psychology, it is a state where an employee has an emotional perception of his situation and reacts with feelings of pleasure or pain. In sociology, it is considered a variable in different categories related to how each employee evaluates and thinks about his work. Job satisfaction is closely related to the performance and quality of work performed by an employee and, consequently, translates into the success of an organization, because a satisfied employee builds and participates in the success of any organization. This article presents the results of the research conducted by the author in 2012 on a sample of 215 people. Respondents represented different organizations. The aim of the study was to identify and assess the significance of individual factors influencing satisfaction and dissatisfaction with work and demonstrate their impact on the overall assessment of job satisfaction. The study showed that between the weight attributed to individual factors and overall job satisfaction there are many statistically significant correlations referring mainly to selected on the basis of analysis respondents’ groups. The study confirms the raised thesis concerning the validity of research in the factors affecting the general feeling of satisfaction by the employees.

  9. Multilevel factors influencing preterm birth in an urban setting

    Directory of Open Access Journals (Sweden)

    Saba W. Masho

    2014-01-01

    Full Text Available Racial disparity in preterm is a major problem in the US. Although significant strides have been made in identifying some of the risk factors, the complexities between community and individual factors are not understood. This study examines the influence of individual and community level factors affecting preterm birth among Black and White women in an urban setting. A 10-year live birth registry dataset from a mid-sized, racially diverse city was analyzed (N = 30,591. Data were geocoded and merged with block group level Census data. Five hierarchical models were examined using PROC GLIMMIX. Education, illicit drug use, pregnancy complications, previous preterm birth, paternal presence, inadequate and adequate plus prenatal care, and poverty were associated with preterm births in both Blacks and Whites. In Black women, increasing maternal age, maternal smoking, and a previous infant death were significant predictors of preterm births, which was not the case for White women. Residing in medium or high poverty neighborhoods resulted in 19% and 28% higher odds, respectively, of preterm birth for Black women. In addition to individual level factors, neighborhood poverty is an important risk factor influencing preterm birth. It is essential to engage multisectoral agencies in addressing factors influencing preterm birth.

  10. Influence of spatially dependent, modeled soil carbon emission factors on life-cycle greenhouse gas emissions of corn and cellulosic ethanol

    Energy Technology Data Exchange (ETDEWEB)

    Qin, Zhangcai [Energy Systems Division, Argonne National Laboratory, 9700 South Cass Avenue Argonne IL 60439 USA; Dunn, Jennifer B. [Energy Systems Division, Argonne National Laboratory, 9700 South Cass Avenue Argonne IL 60439 USA; Kwon, Hoyoung [Environment and Production Technology Division, International Food Policy Research Institute, 2033 K St. NW Washington DC 20006 USA; Mueller, Steffen [Energy Resources Center, University of Illinois at Chicago, 1309 South Halsted Street Chicago IL 60607 USA; Wander, Michelle M. [Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, 1102 South Goodwin Avenue Urbana IL 61801 USA

    2016-03-03

    Converting land to biofuel feedstock production incurs changes in soil organic carbon (SOC) that can influence biofuel life-cycle greenhouse gas (GHG) emissions. Estimates of these land use change (LUC) and life-cycle GHG emissions affect biofuels’ attractiveness and eligibility under a number of renewable fuel policies in the U.S. and abroad. Modeling was used to refine the spatial resolution and depth-extent of domestic estimates of SOC change for land (cropland, cropland pasture, grasslands, and forests) conversion scenarios to biofuel crops (corn, corn stover, switchgrass, Miscanthus, poplar, and willow). In most regions, conversions from cropland and cropland pasture to biofuel crops led to neutral or small levels of SOC sequestration, while conversion of grassland and forest generally caused net SOC loss. Results of SOC change were incorporated into the Greenhouse Gases, Regulated Emissions, and Energy use in Transportation (GREET) model to assess their influence on life-cycle GHG emissions for the biofuels considered. Total LUC GHG emissions (g CO2eq MJ-1) were 2.1–9.3 for corn, -0.7 for corn stover, -3.4–12.9 for switchgrass, and -20.1–-6.2 for Miscanthus; these varied with SOC modeling assumptions applied. Extending soil depth from 30 to 100cm affected spatially-explicit SOC change and overall LUC GHG emissions; however the influence on LUC GHG emissions estimates were less significant in corn and corn stover than cellulosic feedstocks. Total life-cycle GHG emissions (g CO2eq MJ-1, 100cm) were estimated to be 59–66 for corn ethanol, 14 for stover ethanol, 18-26 for switchgrass ethanol, and -0.6–-7 for Miscanthus ethanol.

  11. Intrinsic and extrinsic factors influencing large African herbivore movements

    NARCIS (Netherlands)

    Venter, J.A.; Prins, H.H.T.; Mashanova, A.; Boer, de W.F.; Slotow, R.

    2015-01-01

    Understanding environmental as well as anthropogenic factors that influence large herbivore ecological patterns and processes should underpin their conservation and management. We assessed the influence of intrinsic, extrinsic environmental and extrinsic anthropogenic factors on movement behaviour

  12. FACTORS INFLUENCING THE MANAGEMENT OF ADHD

    Directory of Open Access Journals (Sweden)

    S ARMAN

    2003-03-01

    Full Text Available Introduction: Attention deficit hyperactivity disorder (ADHDis the most common psychiatric disorder among school age children. It consists of hyperactivity, inattention and impulsive behavior. The onset of the disorder is before the age of 7 years and it happens at least in two situations. It causes significant impairment in social and academic functioning. A determination of factors that influences the therapeutic response in ADHD is the aim of this study. Methods: This study is designed as an analytic descriptive on hyperactive children. The tools that were used was the interview with parents and it provided CSI-4 checklist. Results: Methylphenidate was completely effective in ADHD and oppositional defiant disorder and was effective in majority sign of conduct disorder. There wasn't any relation between therapeutic response and demographic characteristics. Discussion: Methylphenidate is effective not only in ADHD but also in mixed ADHD and disruptive behavior.

  13. Factors influencing career choice in anaesthesiology

    Directory of Open Access Journals (Sweden)

    Asha Tyagi

    2012-01-01

    Full Text Available Background: There is a shortage of anaesthesiologists in India. The factors that prompt medical students to opt for anaesthesiology as their career are not known; neither do we have any mechanism to know a student′s stress-bearing ability before he/she opts for a stressful career like anaesthesiology. We conducted an anonymous, questionnaire-based, cross-sectional survey among 200 post-graduate anaesthesiology students to know various factors that they considered while opting for this speciality, and also evaluated their stress-bearing ability using Antonovsky′s 13-point sense of coherence scale. Methods: Two-hundred anaesthesiology students were asked to complete a questionnaire regarding the factors they considered important while opting for anaesthesiology, also enumerated in order of importance the three most important factors that led to opting this career. Students also answered the questions in Antonovsky′s sense of coherence (SOC scale. Results: Economic security was considered by maximum number of students (67.7%, while intellectual stimulation/challenge offered by anaesthesiology was rated first in order of importance. Influence of doctor−patient relationship was not considered by large number of students. The weak SOC score (55 (25 th percentile was not greatly different than the mean SOC score (60 in the survey. Conclusion: Increasing the exposure of students to anaesthesiology at undergraduate level and building public awareness about the speciality will prompt more students to opt for the speciality, while career counselling with regard to specific needs of a speciality and ability of a student will help in opting the speciality that best suits the student′s personality.

  14. Factors Influencing Acceptance of Electronic Health Records in Hospitals

    OpenAIRE

    Wilkins, Melinda A

    2009-01-01

    The study's aim was to examine factors that may influence health information managers in the adoption of electronic health records. The Technology Acceptance Model (TAM) served as theoretical foundation for this quantitative study. Hospital health information managers in Arkansas were queried as to the constructs of perceived usefulness, perceived ease of use, and behavior intention. The study population comprised 94 health information managers with a return rate of 74.5 percent. One manager ...

  15. Factors Influencing Brand Loyalty For Samsung Mobile Users In Nepal

    OpenAIRE

    Singh, Bikash

    2016-01-01

    Master's thesis Business Administration BE501 - University of Agder 2016 Brand loyalty is one of the key element to success for the business organization. There is a high competition between the brand of the smart phone companies, so it is necessary to develop customer trust to build brand loyalty. The study aims to identify the factors influencing brand loyalty in Nepalese market. The model studies the effect of different independent variables that determines brand loyalty. Regression ana...

  16. Factors influencing degradation of pesticides in soil.

    Science.gov (United States)

    Kah, Melanie; Beulke, Sabine; Brown, Colin D

    2007-05-30

    Degradation and sorption of six acidic pesticides (2,4-D, dicamba, fluroxypyr, fluazifop-P, metsulfuron-methyl, and flupyrsulfuron-methyl) and four basic pesticides (metribuzin, terbutryn, pirimicarb, and fenpropimorph) were determined in nine temperate soils. Results were submitted to statistical analyses against a wide range of soil and pesticide properties to (i) identify any commonalities in factors influencing rate of degradation and (ii) determine whether there was any link between sorption and degradation processes for the compounds and soils studied. There were some marked differences between the soils in their ability to degrade the different pesticides. The parameters selected to explain variations in degradation rates depended on the soil-pesticide combination. The lack of consistent behavior renders a global approach to prediction of degradation unrealistic. The soil organic carbon content generally had a positive influence on degradation. The relationship between pH and degradation rates depended on the dominant mode of degradation for each pesticide. There were positive relationships between sorption and rate of degradation for metsulfuron-methyl, pirimicarb, and all acidic pesticides considered together (all P pesticides.

  17. Geochemical factors influencing vault design and layout

    International Nuclear Information System (INIS)

    Gascoyne, M.; Stroes-Gascoyne, S.; Sargent, F.P.

    1995-01-01

    The design and construction of a vault for used nuclear fuel in crystalline rock may be influenced by a number of geochemical factors. During the siting stage, information is needed regarding the rock type, heterogeneities in its composition and the mineralogy of permeable zones because these will cause variations in thermal conductivity, strength and radionuclide sorptive properties of the rock. These factors may affect decisions regarding depth of vault construction, tunnel dimensions and spacing of panels and waste containers. The decision on whether groundwaters are allowed to flow freely into a planned excavation may depend on measurements of their chemical compositions, microbiological contents and presence of hazardous or corrosive constituents. During site characterization, borehole drilling from the surface and subsequent hydraulic testing will introduce both chemical and microbiological contaminants that may further influence this decision. During vault construction, the geochemistry of the rock may cause changes to the characterization, design and construction of the vault. For example, high salinity fluids in micropores in the rock could prevent the use of radar surveys to detect fractures in the surrounding rock. High rock salinity may also cause unacceptably high total dissolved solids loadings in water discharged from the facility. Again, the presence of toxic, corrosive or radioactive constituents in inflowing groundwater may require grouting or, if inflow is needed for service operations, development of treatment facilities both above and below ground. In addition, the use of explosives will cause high organic and nitrate loadings in service water as well as the possible impregnation of these chemicals in the damaged wall-rock surrounding an excavation. These chemicals may remain despite cleaning efforts and act as nutrients to promote microbial activity in the post-closure phase. In the operational phase, further design and construction, changes

  18. Development and validation of a health belief model based instrument for measuring factors influencing exercise behaviors to prevent osteoporosis in pre-menopausal women (HOPE).

    Science.gov (United States)

    Soleymanian, Atoosa; Niknami, Shamsaddin; Hajizadeh, Ebrahim; Shojaeizadeh, Davoud; Montazeri, Ali

    2014-03-01

    The health belief model (HBM) is the most commonly used conceptual framework for evaluating osteoporosis health belief and behaviors. The purpose of this study was to develop and evaluate the psychometric properties of a health belief model based questionnaire for exercise behavior for preventing osteoporosis among women aged 30 years and over. This was a cross sectional study of a convenience sample of women aged 30 years and over in Tehran, Iran using a theory-based instrument (HOPE). The instrument contained 39 items covering issues relate to osteoporosis prevention behavior. In this methodological study, exploratory and confirmatory factor analyses were used for psychometric evaluation. The Cronbach's alpha coefficient and Intraclass Correlation Coefficient (ICC) was used to evaluate the reliability of the scale. In all 240 women participated in the study. The mean age of participant was 39.2 ± 7.8 years. The initial analysis extracted nine factors for the questionnaire that jointly accounted for 66.5% of variance observed. Confirmatory factor analysis showed that the data obtained was fit with Health Belief Model (HBM) and self-regulation construct (X2 = 1132.80, df = 629, P health belief and self-regulation for prevention of osteoporosis.

  19. Factors influencing choice of oral hygiene products by dental ...

    African Journals Online (AJOL)

    Background: Several factors, such as cost, branding, packaging and family influence, had been implicated as influencing the choice of toothpastes and toothbrushes by individuals. Media advertisement is also considered a very strong factor influencing consumer's choice. Aim: To assess the extent to which some factors ...

  20. Analysis of nanomechanical properties of Borrelia burgdorferi spirochetes under the influence of lytic factors in an in vitro model using atomic force microscopy

    Directory of Open Access Journals (Sweden)

    Małgorzata Tokarska-Rodak

    2015-11-01

    Full Text Available Background: Atomic force microscopy (AFM is an experimental technique which recently has been used in biology, microbiology, and medicine to investigate the topography of surfaces and in the evaluation of mechanical properties of cells. The aim of this study was to evaluate the influence of the complement system and specific anti-Borrelia antibodies in in vitro conditions on the modification of nanomechanical features of B. burgdorferi B31 cells. Material and methods: In order to assess the influence of the complement system and anti-Borrelia antibodies on B. burgdorferi s.s. B31 spirochetes, the bacteria were incubated together with plasma of identified status. The samples were applied on the surface of mica disks. Young’s modulus and adhesive forces were analyzed with a NanoScope V, MultiMode 8 AFM microscope (Bruker by the PeakForce QNM technique in air using NanoScope Analysis 1.40 software (Bruker.Results/Conclusion: The average value of flexibility of spirochetes’ surface expressed by Young’s modulus was 10185.32 MPa, whereas the adhesion force was 3.68 nN. AFM is a modern tool with a broad spectrum of observational and measurement abilities. Young’s modulus and the adhesion force can be treated as parameters in the evaluation of intensity and changes which take place in pathogenic microorganisms under the influence of various lytic factors. The visualization of the changes in association with nanomechanical features provides a realistic portrayal of the lytic abilities of the elements of the innate and adaptive human immune system.

  1. Factors Influencing Teamwork in Health Care

    Directory of Open Access Journals (Sweden)

    Mijal Michał

    2017-06-01

    Full Text Available The purpose of this paper is to analyse different views on interpersonal relations and team composition among managers and medical professionals with respect to the transition of professional roles in healthcare in Poland. To achieve that goal, a description based on a quantitative and qualitative questionnaire was conducted. Since the questionnaire covered various areas of health care, only its small fraction was used for the analysis. The main result is that most of the medical professionals and medical managers consider technology to be the single most important external factor influencing the team work efficiency and team composition in health care, and the managers consider skillset as the crucial factor determining whether a person would be a good team member. Based on the literature on professional roles in health care and their evolution in recent years, one can assume that constant development and lifelong learning would play a significant role in the healthcare systems reform. The findings are an important contribution to the discussion of the healthcare reform and its possible directions in future years as well a reference point for policy makers.

  2. Factors influencing performance within startup assistance organizations

    Directory of Open Access Journals (Sweden)

    Ceaușu Ioana

    2017-07-01

    Full Text Available Startup assistance organizations, and especially business accelerators have gained a lot of traction in the last years, captioning not only the attention of the public, but most importantly that of investors and other stakeholders. It has become a challenge for many all around the world to develop such programs, but many have failed or did not have their expected results, meaning medium to long-term sustainable and profitable alumni start-ups. As high amounts of resources, both human and financial, are being invested in the design and development of such programs, it is important to understand what sets apart the successful business acceleration programs from the ones that fail. The current paper is reviewing the up-to-date theoretical literature and studies on the matter at hand, in order to identify the most relevant factors influencing startup assistance organizations’ performance. The objective behind identifying these factors is to get a better understanding of best practices of such successful programs and set the basis for future research regarding the development of a set of metrics for more accurately measuring their performance.

  3. Influencing Factors of Thermogenic Adipose Tissue Activity.

    Science.gov (United States)

    Zhang, Guoqing; Sun, Qinghua; Liu, Cuiqing

    2016-01-01

    Obesity is an escalating public health challenge and contributes tremendously to the disease burden globally. New therapeutic strategies are required to alleviate the health impact of obesity-related metabolic dysfunction. Brown adipose tissue (BAT) is specialized for dissipating chemical energy for thermogenesis as a defense against cold environment. Intriguingly, the brown-fat like adipocytes that dispersed throughout white adipose tissue (WAT) in rodents and humans, called "brite" or "beige" adipocytes, share similar thermogenic characteristics to brown adipocytes. Recently, researchers have focused on cognition of these thermogenic adipose tissues. Some factors have been identified to regulate the development and function of thermogenic adipose tissues. Cold exposure, pharmacological conditions, and lifestyle can enhance non-shivering thermogenesis and metabolism via some mechanisms. However, environmental pollutants, such as ambient fine particulates and ozone, may impair the function of these thermogenic adipose tissues and thereby induce metabolic dysfunction. In this review, the origin, function and influencing factors of thermogenic adipose tissues were summarized and it will provide insights into identifying new therapeutic strategies for the treatment of obesity and obesity-related diseases.

  4. Factors Influencing Students’ Perceptions of Online Teamwork

    Directory of Open Access Journals (Sweden)

    Irina Falls

    2014-02-01

    Full Text Available The evolution of online teaching in higher education demands a change in the types of pedagogies used in those courses. An example of one of these important pedagogies includes online teamwork. Teamwork in this context is one in which the majority of the individual’s grade is dependent on the positive or negative group experiences. This study utilized the theoretical framework of social motivation and cohesion to identify the factors shaping students’ perceptions of teamwork in online college courses. In these courses, the pedagogical approach known as the Five Pillars of effective collaborative work was applied. An Online Teamwork Learning Survey was developed based on these principles and completed by 62 undergraduate students enrolled in semester-long online courses required in their early childhood education program of study. Using a comparison between pre–postsurveys and regression analysis, the results showed that although the students’ perceptions of teamwork did not significantly change, the factors influencing their responses during the posttest doubled in number. The results showed that through carefully designed virtual teamwork activities, students learned that essential team characteristics such as promotive interaction, individual accountability, and positive interdependence are an integral part of effective collaboration and strong predictors of teamwork perception.

  5. Individual factors influencing the duration of untreated psychosis.

    Science.gov (United States)

    Souaiby, Lama; Gauthier, Claire; Kazes, Mathilde; Mam-Lam-Fook, Célia; Daban, Claire; Plaze, Marion; Gaillard, Raphaël; Krebs, Marie-Odile

    2018-03-25

    Duration of untreated psychosis (DUP), or the time between onset of psychosis and treatment initiation, is a prognostic factor of schizophrenia. However, few studies evaluated the relative influence of individual-related factors on this duration. The objective of this study was to evaluate the influence of socio-demographic, clinical and cannabis use on DUP. This study was part of a large prospective study in help-seeking individuals referred to our specialized early detection / intervention clinic in the Service Hospitalo-Universitaire of Sainte-Anne Hospital in Paris (ICAAR study). We explored 33 consecutive patients who crossed the CAARMS' threshold of psychosis. The DUP and cannabis consumption history were explored during the baseline comprehensive assessment using all available sources (direct interviews of patients, parents, practitioners). Correlations between socio-demographic, clinical and cannabis use, and DUP were studied. A multiple linear regression model was used to determine the variables that could significantly predict DUP. When considered individually, none of the socio-demographic and disease characteristic factors was associated with DUP, with the exception of level of education. In the multivariate analysis, age at inclusion, negative symptoms and history of cannabis use significantly influenced DUP. The determinants of DUP are multi-factorial and include individual centred factors, such as age, cannabis and negative symptoms. The identification of factors resulting in delayed access to care may promote the development of effective strategies to reduce DUP in early psychosis and target effective early intervention. © 2018 John Wiley & Sons Australia, Ltd.

  6. Preoperative factors influencing success in pterygium surgery

    Directory of Open Access Journals (Sweden)

    Torres-Gimeno Ana

    2012-08-01

    Full Text Available Abstract Background To identify preoperative, perioperative and postoperative risk factors that influence the success of pterygium surgery. Methods This is a prospective study of thirty-six patients with primary or recurrent pterygia. A detailed anamnesis and an ophthalmological examination were performed looking for the following factors: age, race, latitude and altitude of the main place of residence, hours of exposure to the sun, use of protective measures against UV-radiation, classification of pterygium, width of the pterygium at limbus, surgical technique (conjunctival autograft plus suturing versus tissue glue, graft alterations (misapposition, granuloma, haemorrhage, oedema, retraction or necrosis, and postoperative symptoms (foreign-body sensation, pain. The examinations were performed 2 and 7 days and 2, 6 and 12 months after surgery. In addition, recurrence was defined as any growth of conjunctiva into the cornea. Results A logistic regression and a survival analysis have been used to perform data analysis. A total number of 36 patients completed a one year follow-up. A total of 13 patients were born and lived in Spain, and 26 came from other countries, mostly Latin America. A total number of 8 males (no women presented a recurrence, mainly between 2 and 6 months. The hours of sun exposure through their life was independently related to surgical success. Pterygia of less than 5 mm of base width showed a weak positive correlation with recurrence. None of the other factors considered were significantly related to recurrence. Conclusions Male gender and high sun exposure are strongly and independently related to surgical success after the removal of pterygia.

  7. Factors that influence the test day milk yield and composition.

    Science.gov (United States)

    Silva, F G; Brito, L F; Torres, R A; Ribeiro Júnior, J I; Oliveira, H R; Caetano, G C; Rodrigues, M T

    2013-05-13

    The objective of this research was to study the factors that influence the test day milk yield (TDMY) and percentages of protein, fat, lactose, and total dry extract obtained on test day. We evaluated 110,732 weekly milk production records from 1496 goats and 19,271 monthly milk constituent records from 1245 Alpine and Saanen goats, which were collected from 1997 to 2010 in the goat sector at Universidade Federal de Viçosa. To ensure greater record reliability, only lactation data with kidding order between 1 to 6, type of kidding data including 0 to 3 kids, milk control years after 1997, and genetic groupings other than types 7 or 9 were considered, due to the relative lack of information recorded for some classes of these factors. Data in which the reported milk days were less than 7 or greater than 315 were also eliminated. Goats aged greater than 300 days at calving and those aged less than 6 years at control were considered in this study. Milk production was higher in the dry season in comparison to the rainy season. Genetic grouping did not influence all traits in both breedings. The TDMY tended to increase along with increasing age of the goats at kidding, while the opposite trend was observed relative to kidding order. Factors that significantly influenced all of the studied traits varied, and the factors that significantly influenced each trait were altered between the relationship of Alpine and Saanen breeds. Thus, the analysis of factors that influence traits to be evaluated in the herd under study is critical for defining the best evaluation model.

  8. Factors influencing induction of adaptive response

    International Nuclear Information System (INIS)

    Misonoh, Jun; Ojima, Mitsuaki; Yonezawa, Morio

    2000-01-01

    Exposure to low doses of X-rays makes ICR mice resistant to subsequent sublethal irradiation and decrease mortality from hematopoietic death. Many factors, however, influence the induction of radioresistance. For instances, in ICR mice, the priming irradiation with 0.50 Gy was effective in the induction of radioresistance, when it is given at 6-week old, 2 weeks prior to subsequent sublethal irradiation. One hundred-fifty kV X-ray filtered off the soft component through 1.0 mm aluminum and 0.2 mm copper induces radioadaptive response as well as the harder radiation such as 260 kV X-ray filtered through 0.5 mm aluminum and 0.3 mm copper. Dose rate of priming irradiation also seemed to influence the induction of radioresistance. Priming irradiation with 0.50 Gy at 0.50 Gy/min and 0.25 Gy/min induced adaptive response, while same 0.50 Gy given at 0.063 Gy/min didn't. To make the matter complicated, when mice were pre-irradiated with 0.50 Gy at 0.013 Gy/min in the irradiation cell which was 1.2 x 1.2 x 1.4 times larger than the usual one, adaptive response was induced again. These results suggested that mice felt more uncomfortable when they were packing in the irradiation cell with little free space even for several minutes than when they were placed in the cell with much free space for about 40 minutes, and such a stress might give the mice some resistance to the subsequent sublethal irradiation. (author)

  9. The Influencing Factors of Enterprise Sustainable Innovation: An Empirical Study

    Directory of Open Access Journals (Sweden)

    Si-Hua Chen

    2016-04-01

    Full Text Available Sustainable innovation is the inexhaustible source of development of enterprises. Within fierce market competition, only by depending on continuous innovation can an enterprise exist and develop. By conducting an exploratory factor analysis and a confirmatory factor analysis, this paper proposes a theoretical model, dividing enterprise sustainable innovation ability into three aspects: knowledge innovation capability, production innovation capability, and market innovation capability, and analyzes the influencing factors respectively. Finally, applying this theoretical model to a practical case, with system dynamics method, the simulation results show that they are consistent with real enterprise facts. Therefore, the framework of determinants of sustainable innovation built in this paper has already been verified theoretically and practically. It not only lays a theoretical foundation for further research, but also provides a clear ground for firms to improve their sustainable innovation.

  10. Factors influencing recognition of interrupted speech.

    Science.gov (United States)

    Wang, Xin; Humes, Larry E

    2010-10-01

    This study examined the effect of interruption parameters (e.g., interruption rate, on-duration and proportion), linguistic factors, and other general factors, on the recognition of interrupted consonant-vowel-consonant (CVC) words in quiet. Sixty-two young adults with normal-hearing were randomly assigned to one of three test groups, "male65," "female65" and "male85," that differed in talker (male/female) and presentation level (65/85 dB SPL), with about 20 subjects per group. A total of 13 stimulus conditions, representing different interruption patterns within the words (i.e., various combinations of three interruption parameters), in combination with two values (easy and hard) of lexical difficulty were examined (i.e., 13×2=26 test conditions) within each group. Results showed that, overall, the proportion of speech and lexical difficulty had major effects on the integration and recognition of interrupted CVC words, while the other variables had small effects. Interactions between interruption parameters and linguistic factors were observed: to reach the same degree of word-recognition performance, less acoustic information was required for lexically easy words than hard words. Implications of the findings of the current study for models of the temporal integration of speech are discussed.

  11. External and internal factors influencing happiness in elite collegiate athletes.

    Science.gov (United States)

    Denny, Katherine G; Steiner, Hans

    2009-03-01

    When under conditions of high demand and allostatic load, are happiness and satisfaction in four domains (family, friends, academics, recreation) influenced more by external or internal factors? Do student-athletes who lead exceedingly complicated lives report happiness as a function of athletic achievement or internal disposition? Stanford student-athletes (N=140) were studied with a standardized questionnaire which examined internal factors ((1) locus of control, (2) mindfulness, (3) self-restraint, and (4) self-esteem) to see whether they better account for happiness than external factors (playing time, scholarship). As predicted, internal factors were more powerful correlates of happiness when holding constant demographics. Regression models differed for different aspects of happiness, but the main postulated result of internal versus external was maintained throughout. These findings have implications for how well athletes cope with adversity which, in turn, could shed light on the development of traits that may provide a buffer against adversity and build resilience.

  12. FACTORS INFLUENCING TOURISTS’ REVISIT TO BALI AS MICE DESTINATION

    Directory of Open Access Journals (Sweden)

    Ni Made Eka Mahadewi

    2014-07-01

    Full Text Available Plan to revisit of MICE tourists has been highlighted as an important research topic in competitive market of tourism destinations especially in MICE Destination. Despite the considerable number of research on MICE tourists, it remains unclear why MICE tourists undertake to plan their repeated visits and what kind of indicators influenced. This research aims to identify factors influencing MICE tourists to revisit to Bali – Indonesia. By using SEM (Structural Equation Model, one of the results of this study indicated that MICE Destination’s attribute, Promotion, Satisfaction and Image were the important factor to affect Revisit of MICE tourists to come again or revisit to Bali as MICE Destination. Concerning with MICE tourists perception on revisit; tourist visit to Bali for MICE destination can be enhanced by promotion through image of Bali.

  13. THE INFLUENCE OF CORPORATE SPECIFIC FACTORS UPON FINANCING DECISIONS

    Directory of Open Access Journals (Sweden)

    Lacatus Viorel-Dorin

    2013-07-01

    Full Text Available The purpose of this paper is to analyze the existing theories for the capital structure of a corporation and to determine the factors that influence the financing decisions of Romanian corporations. The gearing ratios vary a lot among Romanian corporations pointing out the fact that the internal specific factors are the ones with a greater impact upon their capital structure, and not the external factors. Our empiric research evaluates the determining factors for the debt ratio (total debt/total assets of some Romanian corporations, focusing on its explanatory variables by including them within simple and multiple econometric models. The panel data indicators computed for the companies in the Cluj area listed on the Bucharest Stock Exchange were evaluated with the OLS and FEM techniques.The results have been interpreted, pointing out that company size and asset turnover seem to have a positive influence upon the debt ratio of selected companies, while profitability and liquidity seem to influence the debt ratio of selected companies negatively.

  14. Factors that influence recurrent lumbar disc herniation.

    Science.gov (United States)

    Yaman, M E; Kazancı, A; Yaman, N D; Baş, F; Ayberk, G

    2017-06-01

    The most common cause of poor outcome following lumbar disc surgery is recurrent herniation. Recurrence has been noted in 5% to 15% of patients with surgically treated primary lumbar disc herniation. There have been many studies designed to determine the risk factors for recurrent lumbar disc herniation. In this study, we retrospectively analysed the influence of disc degeneration, endplate changes, surgical technique, and patient's clinical characteristics on recurrent lumbar disc herniation. Patients who underwent primary single-level L4-L5 lumbar discectomy and who were reoperated on for recurrent L4-L5 disc herniation were retrospectively reviewed. All these operations were performed between August 2004 and September 2009 at the Neurosurgery Department of Ataturk Education and Research Hospital in Ankara, Turkey. During the study period, 126 patients were reviewed, with 101 patients underwent primary single-level L4-L5 lumbar discectomy and 25 patients were reoperated on for recurrent L4-L5 disc herniation. Preoperative higher intervertebral disc height (Pdisc herniation had preoperative higher disc height and higher body mass index. Modic endplate changes had a higher tendency for recurrence of lumbar disc herniation. Well-planned and well-conducted large-scale prospective cohort studies are needed to confirm this and enable convenient treatment modalities to prevent recurrent disc pathology.

  15. Cellular and Molecular Factors Influencing Tendon Repair.

    Science.gov (United States)

    Durgam, Sushmitha; Stewart, Matthew

    2017-08-01

    Tendons are complex connective tissues that transmit tensile forces between muscles and tendons. Tendon injuries are among the most common orthopedic problems with long-term disability as a frequent consequence due to prolonged healing time. Furthermore, the repair tissue is of inferior quality, predisposing patients to high rates of recurrence following initial injury. Coordinated cellular processes and biological factors under the influence of mechanical loading are involved in tendon healing and our understanding of these events lags behind other musculoskeletal tissues. Tendons are relatively hypocellular and hypovascular, with little or no intrinsic regenerative capacity. Studies have documented fatty degeneration, chondrogenic dysplasia, and ectopic ossification within tendon repair tissue. The underlying pathogenesis for these metaplastic changes that compromise the quality of tendon repair tissue is poorly understood. The purpose of this review is to compile literature reporting molecular processes that regulate/control the phenotype of cells responsible for abnormal matrix deposition at repair site. In addition, recent studies reporting the interplay of mechanotransduction and cellular responses during tendon repair are summarized. Identifying the links between cellular, biological, and mechanical parameters involved in tendon repair is paramount to develop successful therapies for tendon healing.

  16. Factors influencing competitive anxiety in Brazilian athletes

    Directory of Open Access Journals (Sweden)

    Marcos Gimenes Fernandes

    2013-08-01

    Full Text Available DOI: http://dx.doi.org/10.5007/1980-0037.2013v15n6p705 The study of factors influencing competitive anxiety, according to a multidimensional perspective and supported by valid instruments, is scarce among Brazilian athletes of different sports. The present study aims to: i investigate the theoretical relationship between the different dimensions of the multidimensional theory of anxiety (i.e., cognitive anxiety, somatic anxiety and self-confidence; and ii investigate the effects of gender, type of sport (individual or collective and competitive experience levels on cognitive anxiety, somatic anxiety and self-confidence. A total of 303 athletes (233 males and 70 females, from different sports, aged between 18 and 40 years (M =24.22, SD = 5.07 completed a shortened version of CSAI-2 (i.e., CSAI-2R, about one hour before the start of competitions. Results revealed significant correlations between cognitive anxiety, somatic anxiety and self-confidence dimensions, in accordance with the assumptions of the multidimensional theory. Additionally, comparative analyses indicated that female athletes and athletes from collective sports showed higher levels of cognitive anxiety, while male athletes and athletes with high competitive experience reported higher levels of self-confidence. These results were discussed taking into account the theoretical and practical implications of these findings for planning interventions of sport psychology in Brazil with athletes of different contexts.

  17. Factors influencing competitive anxiety in Brazilian athletes

    Directory of Open Access Journals (Sweden)

    Marcos Gimenes Fernandes

    2013-09-01

    Full Text Available The study of factors influencing competitive anxiety, according to a multidimensional perspective and supported by valid instruments, is scarce among Brazilian athletes of different sports. The present study aims to: i investigate the theoretical relationship between the different dimensions of the multidimensional theory of anxiety (i.e., cognitive anxiety, somatic anxiety and self-confidence; and ii investigate the effects of gender, type of sport (individual or collective and competitive experience levels on cognitive anxiety, somatic anxiety and self-confidence. A total of 303 athletes (233 males and 70 females, from different sports, aged between 18 and 40 years (M =24.22, SD = 5.07 completed a shortened version of CSAI-2 (i.e., CSAI-2R, about one hour before the start of competitions. Results revealed significant correlations between cognitive anxiety, somatic anxiety and self-confidence dimensions, in accordance with the assumptions of the multidimensional theory. Additionally, comparative analyses indicated that female athletes and athletes from collective sports showed higher levels of cognitive anxiety, while male athletes and athletes with high competitive experience reported higher levels of self-confidence. These results were discussed taking into account the theoretical and practical implications of these findings for planning interventions of sport psychology in Brazil with athletes of different contexts.

  18. Influence of hemodynamic factors on rupture of intracranial aneurysms: patient-specific 3D mirror aneurysms model computational fluid dynamics simulation.

    Science.gov (United States)

    Lu, G; Huang, L; Zhang, X L; Wang, S Z; Hong, Y; Hu, Z; Geng, D Y

    2011-08-01

    Hemodynamics factors play an important role in the rupture of cerebral aneurysms. The purpose of this study was to evaluate the impact of hemodynamic factors on the rupture of the MANs with 3D reconstruction model CFD simulation. RDSA was performed in 9 pairs of intracranial MANs. Each pair was divided into ruptured and unruptured groups. The hemodynamic factors of the aneurysms and their parent arteries were compared. There was a significant difference in the WSS at peak systole between the regions of the aneurysms and their parent arteries in the ruptured group (ie, 6.49 ± 3.48 Pa versus 8.78 ± 3.57 Pa, P =.015) but not in the unruptured group (ie, 9.80 ± 4.12 Pa versus 10.17 ± 7.48 Pa, P =.678). The proportion of the low WSS area to the whole area of the aneurysms was 12.20 ± 18.08% in the ruptured group and 3.96 ± 6.91% in the unruptured group; the difference between the 2 groups was statistically significant (P =.015). The OSI was 0.0879 ± 0.0764 in the ruptured group, which was significantly higher than that of the unruptured group (ie, 0.0183 ± 0.0191, P =.008). MANs may be a useful disease model to investigate possible causes linked to ruptured aneurysms. The ruptured aneurysms manifested lower WSS compared with their parent arteries, a higher proportion of the low WSS area to the whole area of aneurysm, and higher OSI compared with the unruptured aneurysms.

  19. Exploring factors influencing smoking behaviour in Malaysia.

    Science.gov (United States)

    Cheah, Yong Kang; Naidu, Balkish Mahadir

    2012-01-01

    The objective of present study is to investigate the determinants of smoking behaviour among adults in Malaysia. Findings of the Third National Health and Morbidity Survey (NHMS-3) by the Ministry of Health, Malaysia, were used. The sample consisted of 34,539 observations. A logistic regression model was thus applied to estimate the probability to participate in smoking. Age, income, gender, marital status, ethnicity, employment status, residential area, education, lifestyle and health status were statistically significant in affecting the likelihood of smoking. Specifically, youngsters, low income earners, males, unmarried individuals, Malays, employed individuals, rural residents and primary educated individuals were more likely to smoke. In conclusion, socio-demographic, lifestyle and health factors have significant impacts on smoking participation in Malaysia. Based on these empirical findings, several policy implications are suggested.

  20. What factors influence the use of contracts in the context of NHS dental practice? A systematic review of theory and logic model.

    Science.gov (United States)

    Harris, Rebecca; Mosedale, Sarah; Garner, Jayne; Perkins, Elizabeth

    2014-05-01

    UK NHS contracts mediate the relationship between dental and medical practitioners as independent contractors, and the state which reimburses them for their services to patients. There have been successive revisions of dental and medical contracts since the 1990s alongside a change in the levels of professional dominance and accountability. Unintended consequences of the 2006 dental contract have led to plans for further reform. We set out to identify the factors which facilitate and hinder the use of contracts in this area. Previous reviews of theory have been narrative, and based on macro-theory arising from various disciplines such as economics, sociology and political science. This paper presents a systematic review and aggregative synthesis of the theories of contracting for publicly funded health care. A logic map conveys internal pathways linking competition for contracts to opportunism. We identify that whilst practitioners' responses to contract rules is a result of micro-level bargaining clarifying patients' and providers' interests, responses are also influenced by relationships with commissioners and wider personal, professional and political networks. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

  1. Factors influencing why nursing care is missed.

    Science.gov (United States)

    Blackman, Ian; Henderson, Julie; Willis, Eileen; Hamilton, Patricia; Toffoli, Luisa; Verrall, Claire; Abery, Elizabeth; Harvey, Clare

    2015-01-01

    This study explores the reasons nurses identify missed care and what factors account for this variance in nursing practice. Second, the study seeks to understand if the identified reasons behind missed care interact with one another and form a multidimensional construct. This study draws on the results of previous research conducted by Kalisch in developing the MISSCARE research survey tool and now applies it to an Australian context. This study engages a nonexperimental exploratory approach where 16 latent variables are identified and estimated using structural equation modelling to determine the capacity each of these factors has in predicting the reasons for reported missed nursing care. Data were obtained from an electronic survey sent to nursing members of the Australian Nursing and Midwifery Federation of South Australia. A self-report, Likert-type instrument was used to capture the strength and direction of consensus derived from a sample of 289 nurses and midwives. Eight variables were identified as having direct predictor effects as to why nursing care was being missed, and included shift type, nursing resource allocation, health professional communication, workload intensity, workload predictability, the nurses' satisfaction with their current job and their intention to remain working. Additional indirect effects of other variables explained 34% of the variance of the total scores for why nursing care was reported as being missed. Historically, the MISSCARE survey has identified and quantified what types of nursing care is missed. This paper takes this concept further by producing an interactional model identifying the effects different variables have on why nursing care is missed. These Australian findings not only contribute to other international studies that identify why nursing care is omitted, it provides a framework for why reported episodes of missed care can be predicted and subsequently addressed. © 2014 John Wiley & Sons Ltd.

  2. Influencing factors in the health promoting behaviors of Urinary system based on health belief model in pregnant women in Bushehr 2013-14

    Directory of Open Access Journals (Sweden)

    Farzaneh Noroozi

    2015-07-01

    Full Text Available Background: Urinary tract infection is the second most common complication of pregnancy that will follow with maternal and fetal complications. The aim of this study was to identify factors affecting the urinary system health promoting behaviors in pregnant women based on the health belief model. Materials and methods: The present study is a descriptive - analytic study was performed on 250 pregnant women referred to health centers of Bushehr. The tools for collecting information was a multi sectional questionnaire consisting of demographic information, measurement of urinary system health behavior, knowledge and health belief model constructs, which its validity and reliability were ensured previously. Data analysis was performed with SPSS version 20 by using correlation coefficient and linear regression tests. Results: The mean age of subjects 27/4±4/4 years.The relationship between demographic variables and health behavior wasn’t found. The most people (179 equivalents to 71/6% had medium level of knowledge about urinary tract infection, and only 44 women (17.6% had appropriate awareness. Mean score of preventive behaviors was significant difference between different levels of knowledge (p =0/026, self efficacy (p=0/000 and perceived barriers (p=0/002. In multivariate ANOVA, only the self efficacy had strong positive relationship with the preventing behaviors of urinary tract infection (p=0/000. Conclusion: Based on these results, the necessity of education based on health belief model with an emphasis on increasing the efficacy is necessary.

  3. Dental Implant Stability Analysis and Investigating the Influence of Efective Factors on Bone-Implant Contact Applying Frictional Model of Contact

    Directory of Open Access Journals (Sweden)

    Atefi E

    2011-12-01

    Full Text Available Background and Aims: Relative displacement of the implant with respect to bone and quality of bone-implant contact play critical roles in the dental implant stability. The goal of this study was to investigate the dental implant stability using non-linear finite elements method. Therefore, bone-implant relative displacement due to applied force to the implant was calculated, and then an appropriate factor for defining quality of bone-implant contact was presented.Materials and Methods: In order to develop a three dimensional model and compare the results with clinical studies, computed tomography (CT scan data of a rabbit tibia was considered as a base. The model was exported to ABAQUS 6.9-1 to be analyzed using nonlinear finite elements method. Dynamic analysis was done on the model using the proper boundary condition and dynamic loads.Results: Force-displacement curves in bone-implant interface were nonlinear. Friction coefficient, which is a criterion for implant stability and relative displacement, approximately became doubled as the vertical contact force was halved. However, the friction coefficient decreased with reduction of coulomb frictional coefficient.Conclusion: Friction coefficient, which is calculated upon force-displacement curves, could be considered as a criterion to evaluate the dental implant stability. Decrease of the vertical contact force and also using rough surfaces improved the quality of bone-implant contact and stability of dental implant.

  4. Factors influencing riverine fish assemblages in Massachusetts

    Science.gov (United States)

    Armstrong, David S.; Richards, Todd A.; Levin, Sara B.

    2011-01-01

    The U.S. Geological Survey, in cooperation with the Massachusetts Department of Conservation and Recreation, Massachusetts Department of Environmental Protection, and the Massachusetts Department of Fish and Game, conducted an investigation of fish assemblages in small- to medium-sized Massachusetts streams. The objective of this study was to determine relations between fish-assemblage characteristics and anthropogenic factors, including impervious cover and estimated flow alteration, relative to the effects of environmental factors, including physical-basin characteristics and land use. The results of this investigation supersede those of a preliminary analysis published in 2010. Fish data were obtained for 669 fish-sampling sites from the Massachusetts Division of Fisheries and Wildlife fish-community database. A review of the literature was used to select fish metrics - species richness, abundance of individual species, and abundances of species grouped on life history traits - responsive to flow alteration. The contributing areas to the fish-sampling sites were delineated and used with a geographic information system to determine a set of environmental and anthropogenic factors that were tested for use as explanatory variables in regression models. Reported and estimated withdrawals and return flows were used together with simulated unaltered streamflows to estimate altered streamflows and indicators of flow alteration for each fish-sampling site. Altered streamflows and indicators of flow alteration were calculated on the basis of methods developed in a previous U.S. Geological Survey study in which unaltered daily streamflows were simulated for a 44-year period (water years 1961-2004), and streamflow alterations were estimated by use of water-withdrawal and wastewater-return data previously reported to the State for the 2000-04 period and estimated domestic-well withdrawals and septic-system discharges. A variable selection process, conducted using principal

  5. Factors that influence chest injuries in rollovers.

    Science.gov (United States)

    Digges, Kennerly; Eigen, Ana; Tahan, Fadi; Grzebieta, Raphael

    2014-01-01

    The design of countermeasures to reduce serious chest injuries for belted occupants involved in rollover crashes requires an understanding of the cause of these injuries and of the test conditions to assure the effectiveness of the countermeasures. This study defines rollover environments and occupant-to-vehicle interactions that cause chest injuries for belted drivers. The NASS-CDS was examined to determine the frequency and crash severity for belted drivers with serious (Abbreviated Injury Scale [AIS] 3+) chest injuries in rollovers. Case studies of NASS crashes with serious chest injuries sustained by belted front occupants were undertaken and damage patterns were determined. Vehicle rollover tests with dummies were examined to determine occupant motion in crashes with damage similar to that observed in the NASS cases. Computer simulations were performed to further explore factors that could contribute to chest injury. Finite element model (FEM) vehicle models with both the FEM Hybrid III dummy and THUMS human model were used in the simulations. Simulation of rollovers with 6 quarter-turns or less indicated that increases in the vehicle pitch, either positive or negative, increased the severity of dummy chest loadings. This finding was consistent with vehicle damage observations from NASS cases. For the far-side occupant, the maximum chest loadings were caused by belt and side interactions during the third quarter-turn and by the center console loading during the fourth quarter-turn. The results showed that the THUMS dummy produced more realistic kinematics and improved insights into skeletal and chest organ loadings compared to the Hybrid III dummy. These results suggest that a dynamic rollover test to encourage chest injury reduction countermeasures should induce a roll of at least 4 quarter-turns and should also include initial vehicle pitch and/or yaw so that the vehicle's axis of rotation is not aligned with its inertial roll axis during the initial stage

  6. Urban water consumption and its influencing factors in China

    NARCIS (Netherlands)

    Fan, Liangxin; Gai, Lingtong; Tong, Yan; Li, Ruihua

    2017-01-01

    Factors that affect water consumption should be identified to develop effective public policies. However, factors influencing domestic water consumption in cities in China, particularly on a national scale, are unclear. In this study, urban water consumption and its influencing factors in 286

  7. What Factors Influence a Teacher's Commitment to Student Learning?

    Science.gov (United States)

    Dannetta, Vincent

    2002-01-01

    Study of the personal, organizational, student-related factors influencing teacher commitment to student learning. Finds, for example, that among personal factors intrinsic rewards are more important than extrinsic rewards, that among organization factors collegiality is an important influence on commitment to student learning, and that among…

  8. Research on Factors Influencing Individual's Behavior of Energy Management

    Science.gov (United States)

    Fan, Yanfeng

    With the rapid rise of distributed generation, Internet of Things, and mobile Internet, both U.S. and European smart home manufacturers have developed energy management solutions for individual usage. These applications help people manage their energy consumption more efficiently. Domestic manufacturers have also launched similar products. This paper focuses on the factors influencing Energy Management Behaviour (EMB) at the individual level. By reviewing academic literature, conducting surveys in Beijing, Shanghai and Guangzhou, the author builds an integrated behavioural energy management model of the Chinese energy consumers. This paper takes the vague term of EMB and redefines it as a function of two separate behavioural concepts: Energy Management Intention (EMI), and the traditional Energy Saving Intention (ESI). Secondly, the author conducts statistical analyses on these two behavioural concepts. EMI is the main driver behind an individual's EMB. EMI is affected by Behavioural Attitudes, Subjective Norms, and Perceived Behavioural Control (PBC). Among these three key factors, PBC exerts the strongest influence. This implies that the promotion of the energy management concept is mainly driven by good application user experience (UX). The traditional ESI also demonstrates positive influence on EMB, but its impact is weaker than the impacts arising under EMI's three factors. In other words, the government and manufacturers may not be able to change an individual's energy management behaviour if they rely solely on their traditional promotion strategies. In addition, the study finds that the government may achieve better promotional results by launching subsidies to the manufacturers of these kinds of applications and smart appliances.

  9. Factors that influencing veterinary drug’s metabolisation

    Directory of Open Access Journals (Sweden)

    Cristina, Romeo T.

    2007-12-01

    Full Text Available The paper wants to make a recall for the vet practitioners, of the main veterinary drug's metabolism rate influencing factors. Among the most important physiological factors (pharmacokinetics, sanguine flow and urinary ones, plasmatic proteins binding, enzymatic induction and inhibition are essential. Between the animal’s bounded factors more important are: species, individuality, age, sex, pregnancy, alimentation, genetic factors, and health status and from exogenous factors, daily rhythm, influences of chemical compounds and of the stress are presented.

  10. A Comparison of Factors that Influence the Lyophilization Process

    OpenAIRE

    Mnerie, Dumitru; Anghel, Gabriela Victoria; Mnerie, Alin Vasile; Cheveresan, Constantin

    2007-01-01

    The lyophilization (or freeze drying) process for agro-foods products depends on a series of technological factors that are in an inter-dependence with the process performance. This paper presents an expert method and its application. This method characterizes the influence factors of the lyophilization process, after the importance level of some factors in correlation with other factors, is defined. Only the most important factors were considered; influence considerations were made in relati...

  11. Assessing the influence of land use land cover pattern, socio economic factors and air quality status to predict morbidity on the basis of logistic based regression model

    Science.gov (United States)

    Dixit, A.; Singh, V. K.

    2017-12-01

    Recent studies conducted by World Health Organisation (WHO) estimated that 92 % of the total world population are living in places where the air quality level has exceeded the WHO standard limit for air quality. This is due to the change in Land Use Land Cover (LULC) pattern, socio economic drivers and anthropogenic heat emission caused by manmade activity. Thereby, many prevalent human respiratory diseases such as lung cancer, chronic obstructive pulmonary disease and emphysema have increased in recent times. In this study, a quantitative relationship is developed between land use (built-up land, water bodies, and vegetation), socio economic drivers and air quality parameters using logistic based regression model over 7 different cities of India for the winter season of 2012 to 2016. Different LULC, socio economic, industrial emission sources, meteorological condition and air quality level from the monitoring stations are taken to estimate the influence on morbidity of each city. Results of correlation are analyzed between land use variables and monthly concentration of pollutants. These values range from 0.63 to 0.76. Similarly, the correlation value between land use variable with socio economic and morbidity ranges from 0.57 to 0.73. The performance of model is improved from 67 % to 79 % in estimating morbidity for the year 2015 and 2016 due to the better availability of observed data.The study highlights the growing importance of incorporating socio-economic drivers with air quality data for evaluating morbidity rate for each city in comparison to just change in quantitative analysis of air quality.

  12. Using multilevel models to evaluate the influence of contextual factors on HIV/AIDS, sexually transmitted infections, and risky sexual behavior in sub-Saharan Africa: a systematic review.

    Science.gov (United States)

    Ward-Peterson, Melissa; Fennie, Kristopher; Mauck, Daniel; Shakir, Maryam; Cosner, Chelsea; Bhoite, Prasad; Trepka, Mary Jo; Madhivanan, Purnima

    2018-02-01

    To describe the use of multilevel models (MLMs) in evaluating the influence of contextual factors on HIV/AIDS, sexually transmitted infections (STIs), and risky sexual behavior (RSB) in sub-Saharan Africa. Ten databases were searched through May 29, 2016. Two reviewers completed screening and full-text review. Studies examining the influence of contextual factors on HIV/AIDS, STIs, and RSB and using MLMs for analysis were included. The Quality Assessment Tool for Quantitative Studies was used to evaluate study quality. A total of 118 studies met inclusion criteria. Seventy-four studies focused on HIV/AIDS-related topics; 46 focused on RSB. No studies related to STIs other than HIV/AIDS met the eligibility criteria. Of five studies examining HIV serostatus and community socioeconomic factors, three found an association between poverty and measures of inequality and increased HIV prevalence. Among studies examining RSB, associations were found with numerous contextual factors, including poverty, education, and gender norms. Studies using MLMs indicate that several contextual factors, including community measures of socioeconomic status and educational attainment, are associated with a number of outcomes related to HIV/AIDS and RSB. Future studies using MLMs should focus on contextual-level interventions to strengthen the evidence base for causality. Copyright © 2017 Elsevier Inc. All rights reserved.

  13. Factors influencing power hand tool fastening accuracy and reaction forces.

    Science.gov (United States)

    Radwin, Robert G; Chourasia, Amrish O; Howery, Robert S; Fronczak, Frank J; Yen, Thomas Y; Subedi, Yashpal; Sesto, Mary E

    2014-06-01

    A laboratory study investigated the relationship between power hand tool and task-related factors affecting threaded fastener torque accuracy and associated handle reaction force. We previously developed a biodynamic model to predict handle reaction forces. We hypothesized that torque accuracy was related to the same factors that affect operator capacity to react against impulsive tool forces, as predicted by the model. The independent variables included tool (pistol grip on a vertical surface, right angle on a horizontal surface), fastener torque rate (hard, soft), horizontal distance (30 cm and 60 cm), and vertical distance (80 cm, 110 cm, and 140 cm). Ten participants (five male and five female) fastened 12 similar bolts for each experimental condition. Average torque error (audited - target torque) was affected by fastener torque rate and operator position. Torque error decreased 33% for soft torque rates, whereas handle forces greatly increased (170%). Torque error also decreased for the far horizontal distance 7% to 14%, when vertical distance was in the middle or high, but handle force decreased slightly 3% to 5%. The evidence suggests that although both tool and task factors affect fastening accuracy, they each influence handle reaction forces differently. We conclude that these differences are attributed to different parameters each factor influences affecting the dynamics of threaded faster tool operation. Fastener torque rate affects the tool dynamics, whereas posture affects the spring-mass-damping biodynamic properties of the human operator. The prediction of handle reaction force using an operator biodynamic model may be useful for codifying complex and unobvious relationships between tool and task factors for minimizing torque error while controlling handle force.

  14. FACTORS INFLUENCING THE SELECTION OF DENTAL NURSING ...

    African Journals Online (AJOL)

    drclement

    and personal preferences), and educational attainment1. It is also influenced by personal interests. Personal characteristics and motives of the students are known to play a major role in shaping their career preferences. Parents and/or relations are known to have great influence on the career choice of their children and.

  15. Fish consumption preferences and factors influencing it

    Directory of Open Access Journals (Sweden)

    Mehmet Ferit Can

    2015-06-01

    Full Text Available Fish consumption preferences are affected by individuals’ socioeconomic characteristics. The aims of the present paper were (i to obtain information on fish consumption level and frequency; (ii to investigate the associations between the socioeconomic characteristics of consumers and their preferences; and (iii to examine the influence of determinants on fish consumption. Data were gathered through a questionnaire completed by a total of 127 randomly selected individuals from different socioeconomic backgrounds from the Antakya, Turkey. The average consumption was found to be 2.98 kg/person/year for fish. Anchovies, gilt-head sea bream, and sea bass were reported as the most consumed three species, respectively. Significant differences in fish consumption were found among age groups, gender groups, and education groups, as well as between marital statuses. A majority of the consumers eat fish once a month throughout the year or only during the winter months. Fish consumption level and frequency were significantly positively correlated with education (p<0.01, income (p<0.05 and total meat consumption (p<0.01. The stepwise multiple regression model explained 41.7% (p<0.01 of the total variance for fish consumption. The amount and frequency of the consumption in the region, which is very far below the world and Turkey average especially for lower socioeconomic groups and for less-consumed fish species, can be increased by certain policies, such as training, advertising and different marketing strategies. Moreover, consumption should be distributed equally throughout the year instead of consuming only in certain seasons.

  16. An Evaluation on Factors Influencing Decision making for Malaysia Disaster Management: The Confirmatory Factor Analysis Approach

    Science.gov (United States)

    Zubir, S. N. A.; Thiruchelvam, S.; Mustapha, K. N. M.; Che Muda, Z.; Ghazali, A.; Hakimie, H.

    2017-12-01

    For the past few years, natural disaster has been the subject of debate in disaster management especially in flood disaster. Each year, natural disaster results in significant loss of life, destruction of homes and public infrastructure, and economic hardship. Hence, an effective and efficient flood disaster management would assure non-futile efforts for life saving. The aim of this article is to examine the relationship between approach, decision maker, influence factor, result, and ethic to decision making for flood disaster management in Malaysia. The key elements of decision making in the disaster management were studied based on the literature. Questionnaire surveys were administered among lead agencies at East Coast of Malaysia in the state of Kelantan and Pahang. A total of 307 valid responses had been obtained for further analysis. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were carried out to analyse the measurement model involved in the study. The CFA for second-order reflective and first-order reflective measurement model indicates that approach, decision maker, influence factor, result, and ethic have a significant and direct effect on decision making during disaster. The results from this study showed that decision- making during disaster is an important element for disaster management to necessitate a successful collaborative decision making. The measurement model is accepted to proceed with further analysis known as Structural Equation Modeling (SEM) and can be assessed for the future research.

  17. Factors that Influence Physical Activity among Residents in Assisted Living.

    Science.gov (United States)

    Holmes, Sarah D; Galik, Elizabeth; Resnick, Barbara

    2017-01-01

    The purpose of this study was to examine factors that influence physical activity among residents in assisted living. This was a secondary data analysis using baseline data from a function-focused care intervention study including 171 residents from 4 assisted living facilities. Using structural equation modeling, we found that mood, satisfaction with staff and activities, and social support for exercise were directly associated with time spent in physical activity. Gender, cognition, depression, and comorbidities were indirectly associated with physical activity and accounted for 13% of the total variance in physical activity. Implications for future research and social work practice are presented.

  18. Factors influencing electric utility expansion. Volume II

    Energy Technology Data Exchange (ETDEWEB)

    Masud, E. [ed.

    1977-01-01

    This report, Vol. 2, submitted by the General Electric Co., identifies factors that should be considered in planning interconnected systems and discusses how these factors relate to one another. The objective is to identify all the factors and classify them by their use and importance in arriving at a decision. Chapter 2 discusses the utility system and its system behavior characteristics, emphasizing behavior that affects the planning of the bulk-power generation and transmission system. Chapter 3 introduces interconnection planning by discussing the new system characteristics brought to operation and planning. Forty-two factors associated with cost, reliability, constraints, and coordination are related to each other by factor trees. Factor trees display the relationship of one factor such as reliability to more-detailed factors which in turn are further related to individual characteristics of facilities. These factor trees provide a structure to the presentation. A questionnaire including the 42 factors was completed by 52 system planners from utility companies and government authorities. The results of these questionnaires are tabulated and presented with pertinent discussion of each factor. Chapter 4 deals with generation planning, recognizing the existence of interconnections. Chapter 5 addresses transmission planning, questions related to reliability and cost measures and constraints, and factors related to both analytical techniques and planning procedures. The chapter ends with a discussion of combined generation-transmission planning. (MCW)

  19. Domain-General Factors Influencing Numerical and Arithmetic Processing

    Directory of Open Access Journals (Sweden)

    André Knops

    2017-12-01

    Full Text Available This special issue contains 18 articles that address the question how numerical processes interact with domain-general factors. We start the editorial with a discussion of how to define domain-general versus domain-specific factors and then discuss the contributions to this special issue grouped into two core numerical domains that are subject to domain-general influences (see Figure 1. The first group of contributions addresses the question how numbers interact with spatial factors. The second group of contributions is concerned with factors that determine and predict arithmetic understanding, performance and development. This special issue shows that domain-general (Table 1a as well as domain-specific (Table 1b abilities influence numerical and arithmetic performance virtually at all levels and make it clear that for the field of numerical cognition a sole focus on one or several domain-specific factors like the approximate number system or spatial-numerical associations is not sufficient. Vice versa, in most studies that included domain-general and domain-specific variables, domain-specific numerical variables predicted arithmetic performance above and beyond domain-general variables. Therefore, a sole focus on domain-general aspects such as, for example, working memory, to explain, predict and foster arithmetic learning is also not sufficient. Based on the articles in this special issue we conclude that both domain-general and domain-specific factors contribute to numerical cognition. But the how, why and when of their contribution still needs to be better understood. We hope that this special issue may be helpful to readers in constraining future theory and model building about the interplay of domain-specific and domain-general factors.

  20. Dermal factors influencing measurement of skin autofluorescence

    NARCIS (Netherlands)

    Noordzij, Margaretha J.; Lefrandt, Johan; Graaff, Reindert; Smit, Andries J.

    Background: Skin autofluorescence (SAF) is a noninvasive marker of accumulation of advanced glycation end products. It predicts cardiovascular complications and mortality in diabetes and renal failure. We assessed the influence of potential common confounders in SAF measurement, by determining the

  1. External factors influencing the environmental performance of South African firms

    CSIR Research Space (South Africa)

    Peart, R

    2001-01-01

    Full Text Available This article reviews the external factors that influence environmental performance of companies in South Africa, drawing on international and local literature. After considering factors within the natural, social, economic and institutional...

  2. Factors influencing crime rates: an econometric analysis approach

    Science.gov (United States)

    Bothos, John M. A.; Thomopoulos, Stelios C. A.

    2016-05-01

    The scope of the present study is to research the dynamics that determine the commission of crimes in the US society. Our study is part of a model we are developing to understand urban crime dynamics and to enhance citizens' "perception of security" in large urban environments. The main targets of our research are to highlight dependence of crime rates on certain social and economic factors and basic elements of state anticrime policies. In conducting our research, we use as guides previous relevant studies on crime dependence, that have been performed with similar quantitative analyses in mind, regarding the dependence of crime on certain social and economic factors using statistics and econometric modelling. Our first approach consists of conceptual state space dynamic cross-sectional econometric models that incorporate a feedback loop that describes crime as a feedback process. In order to define dynamically the model variables, we use statistical analysis on crime records and on records about social and economic conditions and policing characteristics (like police force and policing results - crime arrests), to determine their influence as independent variables on crime, as the dependent variable of our model. The econometric models we apply in this first approach are an exponential log linear model and a logit model. In a second approach, we try to study the evolvement of violent crime through time in the US, independently as an autonomous social phenomenon, using autoregressive and moving average time-series econometric models. Our findings show that there are certain social and economic characteristics that affect the formation of crime rates in the US, either positively or negatively. Furthermore, the results of our time-series econometric modelling show that violent crime, viewed solely and independently as a social phenomenon, correlates with previous years crime rates and depends on the social and economic environment's conditions during previous years.

  3. Factors that influencing the usage of global distribution system

    Science.gov (United States)

    Budiasa, I. M.; Suparta, I. K.; Nadra, N. M.

    2018-01-01

    The advancement of Tourism is supported by Information and Communication Technology (ICT) innovation and changes. The use of GDS (Global Distribution System) i.e. Amadeus, Galileo, Sabre, and Worldspan in the tourism industry can increase the availability, frequency and speed of communication among the companies in providing services to potential tourists. This research is to investigate the factors that influence the actual use of GDS in the tourism industry especially travel agents, airlines and hotels in Bali. This research employed a mixed method of quantitative and qualitative approaches. Field surveys were conducted and 80 valid questionnaires were received and analyzed by using SPSS 17.0; descriptive, correlation, factor analysis and regression tests were conducted. The variables used are Perceived Ease of Use and Perceived Usefulness (Technology Acceptance Model); Awareness, Perceived Risk and Communication Channels are examined. This research revealed that Perceived Ease of Use, Perceived Usefulness, Awareness, and Communication Channels influence the Behavioural intention to use GDS, whereas Perceived Risk were found not significant influence the use of GDS. These findings enable travel agent, airline and hotel companies to make provision decision with respect to the actual use of GDS.

  4. Factors Influencing the Predictive Power of Models for Predicting Mortality and/or Heart Failure Hospitalization in Patients With Heart Failure

    NARCIS (Netherlands)

    Ouwerkerk, Wouter; Voors, Adriaan A.; Zwinderman, Aeilko H.

    2014-01-01

    The present paper systematically reviews and compares existing prediction models in order to establish the strongest variables, models, and model characteristics in patients with heart failure predicting outcome. To improve decision making accurately predicting mortality and heart-failure

  5. Home Environmental Factors Influencing Performance and Progress ...

    African Journals Online (AJOL)

    Without disregard of the numerous school and child internal factors for low school performance, this study focused on the learners socioeconomic background and home language and to what extent these factors may encourage or discourage school progress and pe1formance among learners in Windhoek, Namibia.

  6. Maternal sociodemographic factors that influence full child ...

    African Journals Online (AJOL)

    Background. With vaccine-preventable disease accounting for many <5-year deaths in most developing countries, it is imperative to determine the factors responsible for poor immunisation coverage in these countries. Objective. To identify maternal sociodemographic factors associated with child immunisation uptake in ...

  7. Demographic and Socioeconomic Factors Influencing Malaria

    African Journals Online (AJOL)

    Gyuk et al.

    examine the demographic and socioeconomic factors of malaria incidence in Calabar, Cross ... environmental hygiene in order to reduce the incidence of malaria in the area. Keywords: Malaria, Incidence, Prevalence and Socioeconomic factors .... were young people who are conscious of their health and are more likely to ...

  8. Factors that Influence Information Seeking Behaviour of Sandwich ...

    African Journals Online (AJOL)

    This study examined the factors that influence the information seeking behavior of sandwich students in selected Nigerian Univ ersities. Questionnaire was used to collect data with a response rate of (97.30%). Among the factors that influence information seeking is availability of internet resources in or near the library; ...

  9. Factors that Influence Information Seeking Behaviour of Sandwich ...

    African Journals Online (AJOL)

    This study examined the factors that influence the information seeking behavior of sandwich students in selected Nigerian Universities. Questionnaire was used to collect data with a response rate of (97.30%). Among the factors that influence information seeking is availability of internet resources in or near the library; ...

  10. Teachers' Perception of Factors Influencing Internet Use in English ...

    African Journals Online (AJOL)

    The study also found no significant relationship between gender and teachers' perception of factors influencing internet use in English language teaching; teachers' qualification has no effect on their perception of factors influencing internet use in English language; no significant relationship exists between the teachers' ...

  11. Perceived factors influencing the choice of leadership styles of ...

    African Journals Online (AJOL)

    Perceived factors influencing the choice of leadership styles of heads of academic libraries in Delta State. ... Information Impact: Journal of Information and Knowledge Management ... Findings revealed that generally, all the items on perceived factors influencing heads of libraries' leadership styles were accepted.

  12. Factors that influence beverage choices at meal times

    DEFF Research Database (Denmark)

    Mueller Loose, Simone; Jaeger, S. R.

    2012-01-01

    Beverages are consumed at almost every meal occasion, but knowledge about the factors that influence beverage choice is less than for food choice. The aim of this research was to characterize and quantify factors that influence beverage choices at meal times. Insights into what beverages are chosen...

  13. Perceptions of Child Caregivers About Factors Influencing ...

    African Journals Online (AJOL)

    Nutrition, health education and measles immunization are crucial components of preventive eye health services in the prevention of corneal blindness. This study explores ... The interplay between nutrition and corneal blindness was unknown to mothers in this study. The strong influence ... effectiveness and sustainability.

  14. Letters and Viewpoints Some Factors Influencing Natural ...

    African Journals Online (AJOL)

    Poor regeneration of valuable timber species under closed forest canopy is a major problem affecting regeneration of tree species in Kenyan moist and Afromontane natural forests. This study was conducted in 1998 – 1999 to investigate the influence of shade tolerance, seed sources and insect herbivory on the ...

  15. Factors Influencing Degradation of Mercaptans by Thiobacillus ...

    African Journals Online (AJOL)

    Degradation of methylmercaptans by Thiobacillus thioparus TK-m was influenced by pH of the reaction medium. Ratios of headspace concentrations in empty vials and those of acidified buffer solutions were less than 1.0. 95% of the H2S was in headspace with the remaining 5% in solution upon acidification. The values for ...

  16. Community Factors Influencing Birth Spacing among Married ...

    African Journals Online (AJOL)

    AJRH Managing Editor

    order to harness the power of contextual influences on birth spacing. (Afr J Reprod Health 2015; 19[1]: 14-24). Keywords: birth ..... 25-38 months (reference), 39-59 months, and > 60 months. Figures presented are Relative Risk Ratio of birth interval category relative to 25-38 months, associated 95% Confidence Intervals,.

  17. 330 Factors Influencing Substance Abuse among Undergraduate ...

    African Journals Online (AJOL)

    User

    2010-10-17

    Oct 17, 2010 ... hallucinating drugs such as Indian hemp and cocaine. These drugs will intoxicate the cult members and it will make them to be bold, and under the influence of drug they can kill or destroy their mates or lecturers. Tobacco is another substance that it is easily been abused by many undergraduates and it has ...

  18. Factors Influencing the Phenotypic Characterization of the Oral Marker, PROP

    Directory of Open Access Journals (Sweden)

    Beverly J. Tepper

    2017-11-01

    Full Text Available In the last several decades, the genetic ability to taste the bitter compound, 6-n-propyltiouracil (PROP has attracted considerable attention as a model for understanding individual differences in taste perception, and as an oral marker for food preferences and eating behavior that ultimately impacts nutritional status and health. However, some studies do not support this role. This review describes common factors that can influence the characterization of this phenotype including: (1 changes in taste sensitivity with increasing age; (2 gender differences in taste perception; and (3 effects of smoking and obesity. We suggest that attention to these factors during PROP screening could strengthen the associations between this phenotype and a variety of health outcomes ranging from variation in body composition to oral health and cancer risk.

  19. Choosing child and adolescent psychiatry: factors influencing medical students.

    Science.gov (United States)

    Volpe, Tiziana; Boydell, Katherine M; Pignatiello, Antonio

    2013-11-01

    To examine the factors influencing medical students to choose child and adolescent psychiatry as a career specialty. Quantitative and qualitative methods were used. A web-based survey was distributed to child and adolescent psychiatrists at the University of Toronto. In-depth interviews were held with select child and adolescent psychiatrists as well as a focus group with psychiatry residents. Retrospective accounts of the factors that influenced their decision to choose psychiatry and/or child and adolescent psychiatry as a specialty were collected. Ninety-two percent of participants indicated that recruitment of child psychiatrists in Canada is a problem. The recent decision by the Royal College of Physicians and Surgeons to recognize child and adolescent psychiatry as a subspecialty and introduce an extra year of training was identified as a further challenge to recruitment efforts. Other deterrents included lower salary than other subspecialties, lack of exposure during training, stigma, and lack of interest in treating children. Recruitment into psychiatry was enhanced by good role modeling, early exposure in medical school, an interest in brain research, and career and lifestyle issues. A rebranding of the role and perception of psychiatry is needed to attract future psychiatrists. Early exposure to innovations in child and adolescent psychiatry and positive role models are critical in attracting medical students. Recruitment should begin in the first year of medical school and include an enriched paediatric curriculum.

  20. Choosing Child and Adolescent Psychiatry: Factors Influencing Medical Students

    Science.gov (United States)

    Volpe, Tiziana; Boydell, Katherine M.; Pignatiello, Antonio

    2013-01-01

    Objective: To examine the factors influencing medical students to choose child and adolescent psychiatry as a career specialty. Method: Quantitative and qualitative methods were used. A web-based survey was distributed to child and adolescent psychiatrists at the University of Toronto. In-depth interviews were held with select child and adolescent psychiatrists as well as a focus group with psychiatry residents. Retrospective accounts of the factors that influenced their decision to choose psychiatry and/or child and adolescent psychiatry as a specialty were collected. Results: Ninety-two percent of participants indicated that recruitment of child psychiatrists in Canada is a problem. The recent decision by the Royal College of Physicians and Surgeons to recognize child and adolescent psychiatry as a subspecialty and introduce an extra year of training was identified as a further challenge to recruitment efforts. Other deterrents included lower salary than other subspecialties, lack of exposure during training, stigma, and lack of interest in treating children. Recruitment into psychiatry was enhanced by good role modeling, early exposure in medical school, an interest in brain research, and career and lifestyle issues. Conclusions: A rebranding of the role and perception of psychiatry is needed to attract future psychiatrists. Early exposure to innovations in child and adolescent psychiatry and positive role models are critical in attracting medical students. Recruitment should begin in the first year of medical school and include an enriched paediatric curriculum. PMID:24223044

  1. Factors influencing quality of life in asthmatics

    DEFF Research Database (Denmark)

    Al-kalemji, Abir; Petersen, Karin Dam; Sørensen, Jan

    2013-01-01

    INTRODUCTION: The quality of life (QOL) in persons with asthma is reduced and different factors such as demography, asthma severity and psychiatric comorbidity play an influential role. However, little is known about the interplay of these factors. OBJECTIVE: To describe QOL in relation to asthma...... gender and smoking were associated with reduced QOL, suggesting that these factors play an independent role on lowering QOL. Depression did not inflate the relationship between asthma severity and worse QOL, suggesting that asthma severity plays an independent role on everyday life regardless...

  2. Factors influencing organizational commitment of banking sector employees

    Directory of Open Access Journals (Sweden)

    K. R. Sowmya

    2011-01-01

    Full Text Available Organizational Commitment has been conceptualised & measured in different ways. This study is an attempt to identify the factors influencing organizational commitment of banking sector employees in Chennai. It is also important as suggestions can be given to the banking sector in order to bring an awareness of the commitment level of employees. Gaining awareness of commitment level and the respective influencing factor will help concentrate on increasing the commitment of employees. Using the measures developed by Mowday; Steers and Porter, the researchers have exploited Factor analysis by Principle Component Methodto identify the factors influencing the organizational commitment of employees of PSBs and NPSBs.

  3. Is Subjective Status Influenced by Psychosocial Factors?

    OpenAIRE

    Lundberg, Johanna; Kristenson, Margareta

    2008-01-01

    Objective Associations between subjective status and health are still relatively unexplored. This study aimed at testing whether subjective status is uniquely confounded by psychosocial factors compared to objective status, and what factors that may predict subjective status. Design A cross-sectional analysis of a population-based, random sample of 795 middle-aged men and women from the southeast of Sweden. Questionnaires included subjective status, objective measures of socioeconomic status,...

  4. Factors influencing EB curing of epoxy matrix

    International Nuclear Information System (INIS)

    Li Fengmei; Bao Jianwen; Chen Xiangbao; Bao Huaying; Wang Huiliang

    2002-01-01

    The effectiveness of electron beam (EB) curing of epoxy resins was found to be influenced by catalyst. In the presence of iodonium salt (diaryl iodonium hexafluoroantimonate, C3), the EB curing of epoxy resin is easier than in the presence of triaryl sulfonium hexafluoroantimonate (C1), or triaryl sulfonium hexafluorophosphate (C2), or iron arene containing cationic catalyst (Irgacure 261). The epoxy 616 (diglycidyl ether of bisphenol A) and 648 (diglycidyl ether of phenolic novolacs) can be cured by the above onium salts catalysts C1-C3. The epoxy with glycidyl amino epoxide group (such as AG 80; AFG 90) could not be cured by onium salts catalyst. The influence of irradiation dose, temperature and the effect of impurities on curing reaction were investigated

  5. Factors influencing seed germination in Cerrado grasses

    OpenAIRE

    Kolb, Rosana Marta; Pilon, Natashi Aparecida Lima; Durigan, Giselda

    2016-01-01

    Few studies address the ecology of herbs of Cerrado grasslands, which are ecosystems where the long dry season, high temperatures, insolation, fire and invasive grasses greatly influencing germination and the establishment of plants. We assessed germination of 13 species of Poaceae from Cerrado grasslands under nursery conditions or in germination chambers, the latter with i) recently collected seeds and seeds after six months storage, ii) under constant and alternating temperatures, and iii)...

  6. Factors influencing career choice after initial training in surgery.

    LENUS (Irish Health Repository)

    McHugh, Seamus

    2012-02-01

    INTRODUCTION: Irish general surgery faces a recruitment crisis with only 87 of 145 (60%) basic surgical training (BST) places filled in 2009. We assessed basic surgical trainees to identify objective, and potentially modifiable, factors that influence ultimate recruitment into a general surgical career. METHODS: Candidates commencing BST training during a 5-year period between 2004 and 2008 were included in a quantitative study. In addition a total of 2,536 candidates, representing all those who commenced surgical training in Ireland since 1960 were identified through the Royal College of Surgeons in Ireland (RCSI) database and invited to complete an online survey. Statistical analysis was performed using SPSS version 15, with p < 0.05 considered significant. RESULTS: During the 5-year quantitative study period there were 381 BST trainees. Gender was a significant predictor of career choice with women more likely to ultimately choose a nonsurgical career after initial surgical training (p = 0.049). Passing surgical membership examinations (MRCS) also was predictive of remaining in surgery (p = 0.005). Training region was not a significant predictor of ultimate career choice. There were 418 survey respondents. The influence of role models was most commonly cited as influencing candidates in choosing to commence surgical training. Candidates who rated "academic opportunity" (p = 0.023) and "intellectual challenge" (p = 0.047) as factors that influenced their decision to commence surgical training were more likely to ultimately continue their careers in a surgical speciality. CONCLUSIONS: This study describes the career pathway of surgical trainees and confirms the importance of academic achievement in discriminating between candidates applying for surgical training schemes.

  7. Models of Teaching: Indicators Influencing Teachers' Perception of Pedagogical Choice

    Science.gov (United States)

    Nordyke, Alison Michelle

    2011-01-01

    The models of teaching are systematic tools that allow teachers to vary their classroom pedagogical practices to meet the needs of all learners in their classroom. This study was designed to determine key factors that influence teachers' decisions when determining a model of teaching for classroom instruction and to identify how teacher training…

  8. Factors influencing purchase intention towards consumer-to-consumer e-commerce

    OpenAIRE

    Dachyar, Muhammad; Banjarnahor, Liska

    2017-01-01

    Purpose: This study explores factors that influence consumer’s purchase intention at three consumer-to-consumer (C2C) e-commerce companies in Indonesia. Design/methodology/approach: 5 Expert opinions are used to determine the indicators of each factor and the Structural Equation Modelling (SEM) method is used to analyze the empirical data of  400 respondents for each company. Findings: It is found different significant factors that influence customer’s purchase intention in each compa...

  9. Factors Influencing uUniversity Research Performance

    Science.gov (United States)

    Edgar, Fiona; Geare, Alan

    2013-01-01

    This research extends our understanding of research productivity by examining features of managerial practice and culture within university departments. Adopting a robust comparative research design, capturing both interview and survey data sourced from multiple stakeholders from New Zealand universities, we seek to identify factors associated…

  10. 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 ...

  11. Factors influencing adherence to routine iron supplementation ...

    African Journals Online (AJOL)

    Anemia in pregnancy is a common problem especially in developing countries. and has been linked with feotal and maternal complications. Taking iron supplements could reduce anaemia in pregnancy but some pregnant women do not adhere to this. The study identified some factors associated with non adherence ...

  12. Factors influencing pregnancy outcomes in Morogoro Municipality ...

    African Journals Online (AJOL)

    Neonatal, perinatal and infant mortality rates are still high in developing countries despite national and international efforts to redress this problem. This study was conducted to investigate maternal knowledge and attitudes regarding the risk factors that adversely affect pregnancy outcomes in Morogoro municipality, ...

  13. Determination of Mucosal Secretory Factors that Influence ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Understanding the complex factors that can lead to HIV infection is crucial to addressing the problem among vulnerable populations, such as female sex workers. In 2010, the Global Health Research Initiative awarded a $1.8 million grant to the Kenya AIDS Vaccine Initiative (KAVI) to build research capacity in Africa for ...

  14. Factors Influencing Smallholder Farmers Participation in IFAD ...

    African Journals Online (AJOL)

    USER

    2015-02-02

    Feb 2, 2015 ... strengthen them for easy access to credit, farm inputs and markets for their agricultural products. References. Agbelemoge, A., Adedoyin, S.F. and Oladoyin, S.D. (2001). Farmers Related. Factors and Adoption of Cocoa Rehabilitation Technology in Oluyole. Local Government Area of Oyo State Nigeria.

  15. Factors Influencing Medical Students' Choice of Specialty

    Directory of Open Access Journals (Sweden)

    Pei-Yeh Chang

    2006-01-01

    Conclusion: This study found that personal intelligence/ability preference and career opportunities were more important factors to the current generation of students in choosing a specialty. Knowledge of these students' attitudes could form the basis for the development of strategies to enhance the attractiveness of specialties facing the problem of a shortage of manpower.

  16. Factors influencing seminar learning and academic achievement

    NARCIS (Netherlands)

    Spruijt, Annemarie; Leppink, Jimmie; Wolfhagen, Ineke; Bok, Harold; Mainhard, Tim; Scherpbier, Albert; Van Beukelen, Peter; Jaarsma, Debbie

    2015-01-01

    Many veterinary curricula use seminars, interactive educational group formats in which some 25 students discuss questions and issues relating to course themes. To get indications on how to optimize the seminar learning process for students, we aimed to investigate relationships between factors that

  17. Factors Influencing Seminar Learning and Academic Achievement

    NARCIS (Netherlands)

    Spruijt, Annemarie; Leppink, Jimmie; Wolfhagen, Ineke; Bok, Harold; Mainhard, Tim; Scherpbier, Albert; van Beukelen, Peter; Jaarsma, Debbie

    2015-01-01

    Many veterinary curricula use seminars, interactive educational group formats in which some 25 students discuss questions and issues relating to course themes. To get indications on how to optimize the seminar learning process for students, we aimed to investigate relationships between factors that

  18. Factors influencing parameters of laser ion sources

    Czech Academy of Sciences Publication Activity Database

    Láska, Leoš; Badziak, J.; Boody, F. P.; Gammino, S.; Jungwirth, Karel; Krása, Josef; Krouský, Eduard; Parys, P.; Pfeifer, Miroslav; Rohlena, Karel; Ryč, L.; Skála, Jiří; Torrisi, L.; Ullschmied, Jiří; Wolowski, J.

    2007-01-01

    Roč. 25, - (2007), s. 199-205 ISSN 0263-0346 R&D Projects: GA AV ČR IAA100100715 Institutional research plan: CEZ:AV0Z10100523; CEZ:AV0Z2043910 Keywords : highly charged ions * laser -produced plasma * self-focusing Subject RIV: BH - Optics, Masers, Laser s Impact factor: 4.696, year: 2007

  19. Factors influencing children's interpretation and acquisition of ...

    African Journals Online (AJOL)

    Lipenga

    Issues in idiom interpretation and acquisition. Idiom comprehension and interpretation is said to be affected by several factors such as familiarity of the idiom, linguistic context and transparency/semantic analysability of the idiom. Research has shown that the most familiar idioms are easier to understand than less familiar ...

  20. Factors influencing Complications and Conversion rates following ...

    African Journals Online (AJOL)

    Methods: A total of 60 patients (45 females and 15 males) undergoing laparoscopic cholecystectomy for acute cholecystitis were studied prospectively by analyzing the data accumulated in the process of investigation and treatment. Factors associated with conversion and complications were assessed to determine their ...

  1. Factors that Influence Frequency of ADHD Diagnosis

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2006-05-01

    Full Text Available Factors associated with the probability of attention-deficit/hyperactivity (ADHD diagnosis among third grade US elementary school children were investigated in a nationally representative sample of 9278 children in the 2002 follow-up of the Early Childhood Longitudinal Survey Cohort conducted at University of Texas, Austin, TX.

  2. Factors influencing women's decisions to purchase specific ...

    African Journals Online (AJOL)

    effort assessing product information and comparing products before deciding which one to purchase.4 They report .... interviews were conducted in a consistent fashion by the researcher herself; that there was standardisation in the ..... findings of this study revealed similar trends. The external factors. (i.e. processing outside ...

  3. Beyond the learning curve: factors influencing cost reductions in photovoltaics

    International Nuclear Information System (INIS)

    Nemet, Gregory F.

    2006-01-01

    The extent and timing of cost-reducing improvements in low-carbon energy systems are important sources of uncertainty in future levels of greenhouse-gas emissions. Models that assess the costs of climate change mitigation policy, and energy policy in general, rely heavily on learning curves to include technology dynamics. Historically, no energy technology has changed more dramatically than photovoltaics (PV), the cost of which has declined by a factor of nearly 100 since the 1950s. Which changes were most important in accounting for the cost reductions that have occurred over the past three decades? Are these results consistent with the notion that learning from experience drove technical change? In this paper, empirical data are assembled to populate a simple model identifying the most important factors affecting the cost of PV. The results indicate that learning from experience, the theoretical mechanism used to explain learning curves, only weakly explains change in the most important factors-plant size, module efficiency, and the cost of silicon. Ways in which the consideration of a broader set of influences, such as technical barriers, industry structure, and characteristics of demand, might be used to inform energy technology policy are discussed

  4. Influence of lifestyle factors on mammographic density in postmenopausal women.

    Directory of Open Access Journals (Sweden)

    Judith S Brand

    Full Text Available BACKGROUND: Mammographic density is a strong risk factor for breast cancer. Apart from hormone replacement therapy (HRT, little is known about lifestyle factors that influence breast density. METHODS: We examined the effect of smoking, alcohol and physical activity on mammographic density in a population-based sample of postmenopausal women without breast cancer. Lifestyle factors were assessed by a questionnaire and percentage and area measures of mammographic density were measured using computer-assisted software. General linear models were used to assess the association between lifestyle factors and mammographic density and effect modification by body mass index (BMI and HRT was studied. RESULTS: Overall, alcohol intake was positively associated with percent mammographic density (P trend  = 0.07. This association was modified by HRT use (P interaction  = 0.06: increasing alcohol intake was associated with increasing percent density in current HRT users (P trend  = 0.01 but not in non-current users (P trend  = 0.82. A similar interaction between alcohol and HRT was found for the absolute dense area, with a positive association being present in current HRT users only (P interaction  = 0.04. No differences in mammographic density were observed across categories of smoking and physical activity, neither overall nor in stratified analyses by BMI and HRT use. CONCLUSIONS: Increasing alcohol intake is associated with an increase in mammography density, whereas smoking and physical activity do not seem to influence density. The observed interaction between alcohol and HRT may pose an opportunity for HRT users to lower their mammographic density and breast cancer risk.

  5. FACTORS INFLUENCING BIOSECURITY ADOPTION ON LAYING HEN FARMERS

    Directory of Open Access Journals (Sweden)

    V.S. Lestari

    2012-12-01

    Full Text Available The present study was undertaken to identify factors that influences biosecurity adoption on laying hen farmers in Sidrap district, South Sulawesi. This district was choosen because beside it was famous as the center of laying hen farms, it was also as one of districts in South Sulawesi which suffered from Avian influenza outbreak. Total samples were 60 respondents. The samples were choosen through stratified random sampling from two subdistricts which had the most populous of layer smallholders, namely Baranti and Maritengngae. Data were obtained through observations and interviews using a questionnaire. Data were analyzed using a score based on biosecurity status. Biosecurity status was obtained based on the adoption of biosecurity measures which consisted of 9 stages: farm inputs, traffic onto farms, distance from sources of pathogens to shed, exposure of farm, biosecurity at farm boundary, biosecurity between farm boundary and shed, biosecurity at the shed door, traffic into the shed and susceptibility of the flock. Multiple regression model was employed to analyze the data. The study revealed that the adoption biosecurity were associated with gender, age, education, farming experience, farm-income, family size and social capital. These variables contributed 20% variation in biosecurity adoption of laying hen farms. However, only farm income, family size and social capital were the major factors influencing to the adoption of biosecurity (P<0.05.

  6. Key factors influencing lung cancer survival in northern Italy.

    Science.gov (United States)

    Mangone, Lucia; Minicozzi, Pamela; Vicentini, Massimo; Giacomin, Adriano; Caldarella, Adele; Cirilli, Claudia; Falcini, Fabio; Giorgi Rossi, Paolo; Sant, Milena

    2013-06-01

    Lung cancer is a major cause of cancer death worldwide. The aims of this study were to analyze presentation, treatment and survival for lung cancer in northern Italy, and identify factors influencing survival. A total of 1180 lung cancer cases diagnosed in four north Italian cancer registries (Biella, Modena, Reggio Emilia, Romagna) in 2003-2005 were analyzed. Information on morphology, stage, diagnostic examinations, chemotherapy, radiotherapy, and surgical treatment was collected from clinical records. Three-year relative survival and relative excess risks of death were estimated. Overall, 10% of cases were stage I, 50% stage IV, and 12% stage unknown. Romagna - where sophisticated diagnostic examinations were performed more often - had proportionately more microscopically verified cases and resected cases than Biella. Romagna had also high proportions of cases given chemotherapy and radiotherapy. Three-year survival was 14%, range 10% (Biella) to 19% (Romagna); 69% for stage I, 3% for stage IV. Stage I survival was higher in Romagna (82%) than Reggio Emilia and Biella (60-61%) but for operated stage I cases, survival was similar (88%) in Romagna and Biella. The fully adjusted model showed a higher risk of death in Biella (1.23, 95%CI 1.02-1.48) than Modena (reference). Stage and surgery are key factors influencing survival. Centralizing lung cancer treatment to improve diagnostic work-up may improve outcomes. Copyright © 2013 Elsevier Ltd. All rights reserved.

  7. Factors Influencing Stormwater Mitigation in Permeable Pavement

    Directory of Open Access Journals (Sweden)

    Chun Yan Liu

    2017-12-01

    Full Text Available Permeable pavement (PP is used worldwide to mitigate surface runoff in urban areas. Various studies have examined the factors governing the hydrologic performance of PP. However, relatively little is known about the relative importance of these governing factors and the long-term hydrologic performance of PP. This study applied numerical models—calibrated and validated using existing experimental results—to simulate hundreds of event-based and two long-term rainfall scenarios for two designs of PP. Based on the event-based simulation results, rainfall intensity, rainfall volume, thickness of the storage layer and the hydraulic conductivity of the subgrade were identified as the most influential factors in PP runoff reduction. Over the long term, PP performed significantly better in a relatively drier climate (e.g., New York, reducing nearly 90% of runoff volume compared to 70% in a relatively wetter climate (e.g., Hong Kong. The two designs of PP examined performed differently, and the difference was more apparent in the relatively wetter climate. This study generated insights that will help the design and implementation of PP to mitigate stormwater worldwide.

  8. [Factors influencing infant mortality. Havana Province, 1983].

    Science.gov (United States)

    Castell-florit Serrate, P; Portuondo Dustet, N; Suarez Rosas, L; Ovies Garcia, A; Alvarez Fernandez, R; Lima Perez, M T

    1986-01-01

    Questionnaires intended to determine the factors involved in deaths in infants under 1 year have been completed in the province of Havana, Cuba, since 1980. The questionnaires are completed by obstetricians and pediatricians of the municipal health areas and analyzed at the secondary care level. This work examines the factors present in the 133 infant deaths occurring in Havana Province in 1983. The infant mortality rate in the province in 1983 was 14.1/1000 live births, the lowest ever recorded in the province. 74 of the deaths occurred in the early neonatal period, 13 in the late neonatal, and 46 in the postneonatal period. 22 of the early neonatal deaths were due to intrapartum anoxia, 15 to hyaline membrane disease, 10 to prematurity, 7 to bronchoaspiration, 3 to sepsis, 1 to bronchial pneumonia, and 13 to malformations. In the late neonatal and postneonatal periods, 11 deaths were attributed to acute diarrheal disease, 6 to meningitis, and 5 to accidents. 8 of the mothers were under 17 years old, 30 were 18-20, 57 were 21-30, and 16 were 31 or over. Maternal age was unknown for 22. 22 of the mothers were overweight, 29 were malnourished, 55 were of normal nutritional status, and the status of 27 was unknown. 67.7% of the early neonatal deaths were in low birth weight babies. Low educational level and rural residence were social factors in infant mortality.

  9. An investigation on factors influencing on human resources productivity

    Directory of Open Access Journals (Sweden)

    Masoumeh Seifi Divkolaii

    2014-05-01

    Full Text Available Human resources development is one of the most important components of any organization and detecting important factors influencing on human resources management plays essential role on the success of the firms. In this paper, we present an empirical investigation to determine different factors influencing productivity of human resources of Islamic Republic of Iran Broadcasting (IRIB in province of Mazandaran, Iran. The study uses analytical hierarchy process (AHP to rank 17 important factors and determines that personal characteristics were the most important factors followed by management related factors and environmental factors. In terms of personal characteristics, job satisfaction plays essential role on human resources development. In terms of managerial factors, paying attention on continuous job improvement by receiving appropriate training is the most important factor followed by welfare facilities for employees and using a system of reward/punishment in organization. Finally, in terms of environmental factors, occupational safety is number one priority followed by organizational rules and regulations.

  10. INFLUENCE FACTORS AND MANIFESTATIONS OF PRODUCTIVITY

    Directory of Open Access Journals (Sweden)

    Daniel DĂNECI-PĂTRĂU

    2014-09-01

    Full Text Available Notion almost unknown before 1950, labor productivity is now commonly used by economists, engineers, sociologists and politicians alike, influencing all the important issues of the time. Under these circumstances, if it is accepted that labor productivity is the driving variable that generates economic progress, it is justified that people need to increase their efforts to enhance, its value through various means. This article presents the findings of a theoretical research literature regarding landmarks in the evolution of labor productivity. Arguments justifying such an approach have been given by the fact that the labor issue presents an interest not only at the micro level, individual (the consequences it has on the individual work, but also at the macro level, societal (employment relations on the market labor, insurance systems and the offer educational services on the market today.

  11. Factors influencing incident reporting in surgical care.

    Science.gov (United States)

    Kreckler, S; Catchpole, K; McCulloch, P; Handa, A

    2009-04-01

    To evaluate the process of incident reporting in a surgical setting. In particular: the influence of event outcome on reporting behaviour; staff perception of surgical complications as reportable events. Anonymous web-based questionnaire survey. General Surgical Department in a UK teaching hospital. Of 203 eligible staff, 55 (76.4%) doctors and 82 (62.6%) nurses participated. Knowledge and use of local reporting system; propensity to report incidents which vary by outcome (harm, no harm, harm prevented); propensity to report surgical complications; practical and psychological barriers to reporting. Nurses were significantly more likely to know of the local reporting system and to have recently completed a report than doctors. The level of harm (F(1.8,246) = 254.2, pvs 53%, z = 4.633, psystems.

  12. Factors influencing workplace health promotion intervention: a qualitative systematic review.

    Science.gov (United States)

    Rojatz, Daniela; Merchant, Almas; Nitsch, Martina

    2017-10-01

    Although workplace health promotion (WHP) has evolved over the last 40 years, systematically collected knowledge on factors influencing the functioning of WHP is scarce. Therefore, a qualitative systematic literature review was carried out to systematically identify and synthesize factors influencing the phases of WHP interventions: needs assessment, planning, implementation and evaluation. Research evidence was identified by searching electronic databases (Scopus, PubMed, Social Sciences Citation Index, ASSIA, ERIC, IBBS and PsycINFO) from 1998 to 2013, as well as by cross-checking reference lists of included peer-reviewed articles. The inclusion criteria were: original empirical research, description of WHP, description of barriers to and/or facilitators of the planning, implementation and/or evaluation of WHP. Finally, 54 full texts were included. From these, influencing factors were extracted and summarized using thematic analysis. The majority of influencing factors referred to the implementation phase, few dealt with planning and/or evaluation and none with needs assessment. The influencing factors were condensed into topics with respect to factors at contextual level (e.g. economic crisis); factors at organizational level (e.g. management support); factors at intervention level (e.g. quality of intervention concept); factors at implementer level (e.g. resources); factors at participant level (e.g. commitment to intervention) and factors referring to methodological and data aspects (e.g. data-collection issues). Factors regarding contextual issues and organizational aspects were identified across three phases. Therefore, future research and practice should consider not only the influencing factors at different levels, but also at different phases of WHP interventions. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  13. Factors influencing a problem-based learning implementation: A case study of IT courses

    Science.gov (United States)

    Darus, Norida Muhd; Mohd, Haslina; Baharom, Fauziah; Saip, Mohamed Ali; Puteh, Nurnasran; Marzuki @ Matt, Zaharin; Husain, Mohd Zabidin; Yasin, Azman

    2016-08-01

    IT students must be trained to work efficiently as teamwork. One of the techniques that can be used to train them is through Problem-Based Learning (PBL) approach. The PBL implementation can be influenced by various factors depending on the ultimate goal of the study. This study is focusing on the IT students' perception of the PBL implementation. The student's perception is important to ensure the successfulness of the PBL implementation. Therefore, it is important to identify the factors that might influence the implementation of PBL of IT courses. This study aims to identify some catalyst factors that may influence the PBL implementation of IT courses. The study involved three (3) main phases: identifying PBL implementation factors, constructing a PBL model, and PBL model validation using statistical analysis. Four main factors are identified: PBL Characteristics, PBL Course Assessment, PBL Practices, and PBL Perception. Based on these four factors, a PBL model is constructed. Then, based on the proposed PBL model, four hypotheses are formulated and analyzed to validate the model. All hypotheses are significantly acceptable. The result shows that the PBL Characteristics and PBL Course Assessment factors are significantly influenced the PBL Practices and indirectly influenced the Students' Perception of the PBL Implementation for IT courses. This PBL model can assist decision makers in enhancing the PBL teaching and learning strategy for IT courses. It is also can be tested to other courses in the future.

  14. Factors that influence outcome in experimental osteoarthritis

    NARCIS (Netherlands)

    Kraan, P.M. van der

    2017-01-01

    OBJECTIVE: Osteoarthritis (OA) is the most common joint disease but an effective pharmacological therapy has not been developed yet. To identify targets for treatment and ways to interfere with OA development and progression both spontaneous and induced OA models are still needed. In this narrative

  15. Factors Influencing University Drop Out Rates

    Science.gov (United States)

    Araque, Francisco; Roldan, Concepcion; Salguero, Alberto

    2009-01-01

    This paper develops personalized models for different university degrees to obtain the risk of each student abandoning his degree and analyzes the profile for undergraduates that abandon the degree. In this study three faculties located in Granada, South of Spain, were involved. In Software Engineering three university degrees with 10,844…

  16. Determination of the Main Influencing Factors on Road Fatalities Using an Integrated Neuro-Fuzzy Algorithm

    Directory of Open Access Journals (Sweden)

    Amir Masoud Rahimi

    Full Text Available Abstract This paper proposed an integrated algorithm of neuro-fuzzy techniques to examine the complex impact of socio-technical influencing factors on road fatalities. The proposed algorithm could handle complexity, non-linearity and fuzziness in the modeling environment due to its mechanism. The Neuro-fuzzy algorithm for determination of the potential influencing factors on road fatalities consisted of two phases. In the first phase, intelligent techniques are compared for their improved accuracy in predicting fatality rate with respect to some socio-technical influencing factors. Then in the second phase, sensitivity analysis is performed to calculate the pure effect on fatality rate of the potential influencing factors. The applicability and usefulness of the proposed algorithm is illustrated using the data in Iran provincial road transportation systems in the time period 2012-2014. Results show that road design improvement, number of trips, and number of passengers are the most influencing factors on provincial road fatality rate.

  17. Factors influencing EPR dosimetry in fingernails

    International Nuclear Information System (INIS)

    Dubner, D.L.; Spinella, M.R.; Bof, E.

    2010-01-01

    The technique based on the detection of ionizing radiation induced radicals by EPR in tooth enamel is an established method for the dosimetry of exposed persons in radiological emergencies. Dosimetry based on EPR spectral analysis of fingernail clippings, currently under development, has the practical advantage of the easier sample collection. A limiting factor is that overlapping the radiation induced signal (RIS), fingernails have shown the presence of two mechanically induced signals, called MIS1 and MIS2, due to elastic and plastic deformation respectively, at the time of fingernails cutting. With a water treatment, MIS1 is eliminated while MIS2 is considerably reduced. The calibration curves needed for radiation accident dosimetry should have 'universal' characteristics, ie. Represent the variability that can be found in different individuals. Early studies were directed to the analysis of factors affecting the development of such universal calibration curves. The peak to peak amplitude of the signal before and after the water treatment as well as the effect of size and number of clippings were studied. Furthermore, the interpersonal and intrapersonal variability were analyzed. Taking into account these previous studies, the optimal conditions for measurement were determined and EPR spectra of samples irradiated at different doses were used for the developing of dose-response curves. This paper presents the analysis of the results.(authors) [es

  18. Factors influencing microinjection molding replication quality

    Science.gov (United States)

    Vera, Julie; Brulez, Anne-Catherine; Contraires, Elise; Larochette, Mathieu; Trannoy-Orban, Nathalie; Pignon, Maxime; Mauclair, Cyril; Valette, Stéphane; Benayoun, Stéphane

    2018-01-01

    In recent years, there has been increased interest in producing and providing high-precision plastic parts that can be manufactured by microinjection molding: gears, pumps, optical grating elements, and so on. For all of these applications, the replication quality is essential. This study has two goals: (1) fabrication of high-precision parts using the conventional injection molding machine; (2) identification of robust parameters that ensure production quality. Thus, different technological solutions have been used: cavity vacuuming and the use of a mold coated with DLC or CrN deposits. AFM and SEM analyses were carried out to characterize the replication profile. The replication quality was studied in terms of the process parameters, coated and uncoated molds and crystallinity of the polymer. Specific studies were processed to quantify the replicability of injection molded parts (ABS, PC and PP). Analysis of the Taguchi experimental designs permits prioritization of the impact of each parameter on the replication quality. A discussion taking into account these new parameters and the thermal and spreading properties on the coatings is proposed. It appeared that, in general, increasing the mold temperature improves the molten polymer fill in submicron features except for the steel insert (for which the presence of a vacuum is the most important factor). Moreover, the DLC coating was the best coating to increase the quality of the replication. This result could be explained by the lower thermal diffusivity of this coating. We noted that the viscosity of the polymers is not a primordial factor of the replication quality.

  19. Research on China's aquaculture efficiency evaluation and influencing factors with undesirable outputs

    Science.gov (United States)

    Ji, Jianyue; Wang, Pingping

    2015-06-01

    Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.

  20. Factors influencing dependence on mobile phone

    Directory of Open Access Journals (Sweden)

    Mohammad-Hossein Biglu

    2016-08-01

    Full Text Available Introduction: The purpose of current study was to investigate the relationship between the problematic use of mobile phone and Big Five personality traits among students of Tabriz University of Medical Sciences in Tabriz, Iran. Methods: A total number of 120 students (80 females and 40 males were selected by applying proportional randomized classification sampling method from Tabriz University of Medical Sciences. The Mobile Phone Problematic Use Scale (MPPUS and demographic questionnaire were used to gather data. Data were analyzed using SPSS software. Results: Analysis of gathered data showed that gender, neuroticism, extraversion, and openness to experience had positive correlation with the problematic use of mobile phone, whereas conscientiousness and agreeableness were not correlated with the problematic use of mobile phone. Conclusion: The evaluation of Big Five personality traits would be a reliable factor for predicting the problematic use of mobile phone among students.

  1. Organizational factors influencing improvements in safety

    International Nuclear Information System (INIS)

    Marcus, A.; Nichols, M.L.; Olson, J.; Osborn, R.; Thurber, J.

    1991-01-01

    Results of conceptual and empirical research conducted by this research team, and published in NUREG-CR 5437, suggested that processes of organizational problem solving and learning provide a promising area for understanding improvement in safety-related performance in nuclear power plants. In this paper the authors describe the way in which they have built upon that work and gone much further in empirically examining a range of potentially important organizational factors related to safety. The paper describes (1) overall trends in plant performance over time on the Nuclear Regulatory Commission performance indicators, (2) the major elements in the conceptual framework guiding the current work, which seeks among other things to explain those trends, (3) the specific variables used as measures of the central concepts, (4) the results to date of the quantitative empirical work and qualitative work in progress, and (5) conclusions from the research

  2. Factors influencing professional life satisfaction among neurologists.

    Science.gov (United States)

    Teixeira-Poit, Stephanie M; Halpern, Michael T; Kane, Heather L; Keating, Michael; Olmsted, Murrey

    2017-06-19

    Predicted shortages in the supply of neurologists may limit patients' access to and quality of care for neurological disorders. Retaining neurologists already in practice provides one opportunity to support the overall supply of practicing neurologists. Understanding factors associated with professional life satisfaction (and dissatisfaction) and implementing policies to enhance satisfaction may encourage neurologists to remain in clinical practice. In this paper, we present results from the first study examining factors associated with professional life satisfaction among a large sample of U.S, neurologists. We collaborated with the AAN to survey a sample of U.S. neurologists about their professional life satisfaction. Analyses examined the association of physician and practice characteristics with aspects of professional life satisfaction, including satisfaction with their career in medicine, medical specialty, current position, relationship with colleagues, relationship with patients, work/life balance, and pay. The study population consisted of 625 neurologists. In multivariate regression analyses, no single group or population stratum indicated high (or low) responses to all aspects of satisfaction. Older neurologists reported higher satisfaction with career, specialty, and relationship with patients than younger neurologists. Female neurologists had significantly lower satisfaction with pay than male neurologists. Neurologists who spent more time in research and teaching had greater satisfaction with specialty, relationship with colleagues, and relationship with patients than those spending no time in research. Neurologists who practiced in small cities/rural areas reported lower satisfaction across multiple dimensions than those practicing in large urban areas. Neurologists in solo practice had greater satisfaction with the relationship with their patients, but lower satisfaction with pay. Satisfaction is a multidimensional construct that is associated with

  3. Factors influencing the density of aerobic granular sludge.

    NARCIS (Netherlands)

    Winkler, M.K.; Kleerebezem, R.; Strous, M.; Chandran, K.; Loosdrecht, M.C. van

    2013-01-01

    In the present study, the factors influencing density of granular sludge particles were evaluated. Granules consist of microbes, precipitates and of extracellular polymeric substance. The volume fractions of the bacterial layers were experimentally estimated by fluorescent in situ hybridisation

  4. EDUCATIONAL MARKETING: FACTORS INFLUENCING THE SELECTION OF A UNIVERSITY

    Directory of Open Access Journals (Sweden)

    Ionela MANIU

    2014-11-01

    Full Text Available Competition in the higher education sector is forcing the higher educational institutions (HEI to develop more competitive marketing strategies. For developing universities marketing strategies HEI need to understand the student choice process of a university. Understanding university choice process is not easy, this process involves complex decision which affects students’ life (future career, friends, residence, etc.. Therefore, this paper presents a conceptual framework to explore the factors that influence university choice decision, in general, by investigating factors, relevant in literature, which most influence this decision. Among the factors identified are: institutional reputation, cost, employment opportunities, parents’ influence, educational offer, location. This study has been done in order to find the most important factors that influence choice of a university among Romanian students.

  5. Factors influencing perceived sustainability of Dutch community health programs

    NARCIS (Netherlands)

    Vermeer, A. J. M.; van Assema, P.; Hesdahl, B.; Harting, J.; de Vries, N. K.

    2015-01-01

    We assessed the perceived sustainability of community health programs organized by local intersectoral coalitions, as well as the factors that collaborating partners think might influence sustainability. Semi-structured interviews were conducted among 31 collaborating partners of 5 community health

  6. Evaluation of some genetic factors influencing the phenotypic ...

    African Journals Online (AJOL)

    Evaluation of some genetic factors influencing the phenotypic severity of β thalassemia Egyptian patients. Ibtessam R Hussein, Amina M Medhat, Samir F Zohny, Alice K Abd El-Aleem, Ghada Y El-Kammah, Bardees M Foda ...

  7. Perceived Factors Influencing the Choice of Antenatal Care and ...

    African Journals Online (AJOL)

    Perceived Factors Influencing the Choice of Antenatal Care and Delivery Centres among Childbearing Women In Ibadan North South-Western, Nigeria. EE Ewa, CJ Lasisi, SO Maduka, AE Ita, UW Ibor, OA Anjorin ...

  8. Factors influencing DOC leaching from terrestrial ecosystems: a database analysis

    Science.gov (United States)

    Camino Serrano, M.; Janssens, I.; Luyssaert, S.; Ciais, P.; Gielen, B.

    2012-04-01

    The lateral transport of dissolved organic carbon (DOC) is an important process linking terrestrial and aquatic ecosystems. Neglecting these fluxes can lead to biased of eddy covariance-based estimates of terrestrial ecosystem carbon sequestration. The necessity for integrating DOC leaching in carbon cycle models is thus clear, especially in view of future model development aiming at directly linking terrestrial, freshwater and ocean carbon cycles. However, to achieve this goal, more accurate information is needed in order to better understand and predict dissolved organic carbon dynamics. DOC concentrations mainly vary by geographical location, soil and vegetation types, topography, season and climate. Within this framework, we developed a database on DOC concentrations and fluxes with the aim of better understanding how those parameters determine DOC variations. This database compiles DOC concentrations and fluxes in soil solution and creeks at site or catchment level for different ecosystems around the world, but with special focus on the Northern Hemisphere and on peatland ecosystems. The database currently includes information from around 120 sites, gathered from published literature and datasets accessible on the internet. The database contains annual, seasonal and monthly data on DOC, dissolved inorganic carbon (DIC), dissolved organic nitrogen (DON) and dissolved inorganic nitrogen (DIN) and also includes other meta-data related to the site, such as land cover, soil properties, climate, annual water balance and other soil solution parameters. This compiled dataset allows to study the influence of several physical factors that determine DOC production in soils. We will present the observed relationships between drivers, such as precipitation, drainage flows, soil pH, soil texture, and DOC concentration/ DOC fluxes at different levels, ecosystem types, temporal scales (monthly versus annual or seasonal), and soil depths. The same relations will be analysed

  9. Exploring Factors Influencing Smokers' Information Seeking for Smoking Cessation.

    Science.gov (United States)

    Noh, Ghee-Young; Lee, Sun Young; Choi, Jounghwa

    2016-08-01

    This study addressed the factors influencing smokers' information seeking pertaining to the health risks of smoking. In particular, this study aimed to extend the risk information seeking and processing model by taking into account the role of autonomous motivations used to stimulate smokers' information-seeking behavior. The results of a Web-based survey indicated that information insufficiency was positively associated with health information-seeking behavior and that negative affective responses were positively associated with information insufficiency and health information-seeking behavior. In addition, autonomous motivations were positively associated with information insufficiency and information-seeking behavior. The results indicated that risk perception was positively related to autonomous motivations and negative affective response. Finally, informational subjective norm was positively related to autonomous motivations and negative affective responses. The implications of this study for future research are discussed.

  10. Factors Influencing Job Satisfaction Among Long-Term Care Staff.

    Science.gov (United States)

    Doran, Kelly; Resnick, Barbara; Swanberg, Jennifer

    2017-11-01

    We assessed the intrapersonal, interpersonal, and organizational factors that predicted job satisfaction among long-term care employees. Baseline data were used to describe characteristics that influence job satisfaction. Using a forced linear regression model, while controlling for age and job title, we assessed if higher physical activity levels, fewer symptoms of depression, stress, and/or anxiety (ie, decreased mood), less back pain, stronger social support, and reports of low work demands were associated with higher job satisfaction. Mood (β = -0.412, P = 0.003) explained 17% of the variance in job satisfaction. This information can be used to guide facility wide programs and interventions aimed at increasing job satisfaction among all long-term care staff.

  11. A study on packaging factors influencing on export development

    Directory of Open Access Journals (Sweden)

    Mina Mohammadi

    2014-10-01

    Full Text Available Packaging is an important instrument of commerce and trade in the world, it plays essential role in increasing sales and export and thus it maximizes profits generated in enterprises. Hence, the appropriate packaging for the producer generates necessary incentives for production, partly preserves them against zany opponents, and finally provides the customer with much more variety and choosing the right products. Packaging in fact, is a major contributor to the performance of customer relationship management. This survey determines five packaging factors influencing on export development including communications, infrastructure, awareness, design and technical extraction. Through the implementation of principal component analysis, the effective role of packaging components on exports is measured. Exploratory research model indicates that all five packing components were effective in export development of food industry.

  12. Factors influencing the intention to watch online video advertising.

    Science.gov (United States)

    Lee, Joonghwa; Lee, Mira

    2011-10-01

    This study examines the factors influencing consumer intention to watch online video ads, by applying the theory of reasoned action. The attitude toward watching online video ads, the subjective norm, and prior frequency of watching online video ads positively influence the intention to watch online video ads. Further, beliefs held about entertainment and information outcomes from watching online video ads and subjective norm influence attitude toward watching these ads.

  13. [Influence of nonindustrial risk factors on congenital abnormalities formation].

    Science.gov (United States)

    Talykova, L V

    2009-01-01

    Congenital abnormalities could result from exposure to occupational hazards. Epidemiologic study of nickel compounds influence on reproductive health in females engaged into nickel purification in Murmansk region enterprises did not reveal increased risk of the anomalies. The study was aimed to define influence of various risk factors connected not to work conditions, but to mother's health, bad habits, age, on congenital abnormalities in newborns.

  14. The Influence of Societal Factors on Female Body Image.

    Science.gov (United States)

    Monteath, Sheryl A.; McCabe, Marita P.

    1997-01-01

    Investigates the influence of societal factors on Western women's perceptions of their bodies. Finds that women typically underestimate their body size and want smaller bodies; two-fifths of women expressed negative feelings about their bodies; and that body satisfaction is best explained by societal influences, self-esteem and body mass index.…

  15. Factors That Influence Technology Integration in the Classroom

    Science.gov (United States)

    Montgomery, Maureen C.

    2017-01-01

    Education is one area where the use of technology has had great impact on student learning. The integration of technology in teaching and learning can significantly influence the outcome of education in the classroom. However, there are a myriad of factors that influence technology integration in the classroom. The purpose of this study was to…

  16. Influence of macroeconomic factors on residential property returns in ...

    African Journals Online (AJOL)

    An attempt was made in this study to bridge the existing gap in the knowledge of the influence exerted by macro-economic factors on residential property returns in Abuja. The backward and forward relationship between property market and the economy has influenced a rise and fall in future of property returns in Abuja ...

  17. Influence of Sociodemographic and Stroke‑related Factors on ...

    African Journals Online (AJOL)

    Conclusion: Employment is a known significant contributor to social network and was also found to influence significantly, the availability of poststroke social support in this study. Further studies are required to identify factors that more substantially influence the availability of social support after stroke. Keywords: Nigeria ...

  18. Factors influencing adoption of Small-Scale Palm Oil Processing ...

    African Journals Online (AJOL)

    The influence of respondents' socio-economic characteristics on adoption was investigated along with other factors influencing adoption of the Small-Scale ... be geared towards extension service delivery with specific emphasis to recommended palm oil processing technologies adoption; credit scheme should be made

  19. Factors influencing acceptability of voluntary counseling and testing ...

    African Journals Online (AJOL)

    The factors influencing VCT for HIV were consequences of a test result, influences from a sexual partner, cost of VCT, physical accessibility of VCT, awareness, risk of HIV infection, need for linking VCT with care (especially availability of anti-retrovirals) and perceived quality of care of VCT services. Conclusions: Increased ...

  20. Do socio-demographic factors influence the travel behaviour of ...

    African Journals Online (AJOL)

    Nature-based tourism products in Africa, especially South Africa, are playing an important role in attracting visitors. It is therefore essential to understand travel behaviour and the factors influencing the behaviour of visitors, as such knowledge can influence future park visits, park development and target marketing strategies ...

  1. Environmental factors influencing fluctuation of share prices on ...

    African Journals Online (AJOL)

    Environmental factors influencing fluctuation of share prices on Nigeria stock exchange market. ... Financial markets could be money or capital markets. The commodities traded on these ... The results show inflation, money supply, total deficits index of industrial production, interest rate and GDP influence stock prices.

  2. Factors influencing palliative care. Qualitative study of family physicians' practices.

    OpenAIRE

    Brown, J. B.; Sangster, M.; Swift, J.

    1998-01-01

    OBJECTIVE: To examine factors that influence family physicians' decisions to practise palliative care. DESIGN: Qualitative method of in-depth interviews. SETTING: Southwestern Ontario. PARTICIPANTS: Family physicians who practise palliative care on a full-time basis, who practise on a part-time basis, or who have retired from active involvement in palliative care. METHOD: Eleven in-depth interviews were conducted to explore factors that influence family physicians' decisions to practise palli...

  3. Factors influencing organizational commitment of banking sector employees

    OpenAIRE

    K. R. Sowmya; N. Panchanatham

    2011-01-01

    Organizational Commitment has been conceptualised & measured in different ways. This study is an attempt to identify the factors influencing organizational commitment of banking sector employees in Chennai. It is also important as suggestions can be given to the banking sector in order to bring an awareness of the commitment level of employees. Gaining awareness of commitment level and the respective influencing factor will help concentrate on increasing the commitment of employees. Using the...

  4. Factors influencing teamwork and collaboration within a tertiary medical center

    Science.gov (United States)

    Chien, Shu Feng; Wan, Thomas TH; Chen, Yu-Chih

    2012-01-01

    AIM: To understand how work climate and related factors influence teamwork and collaboration in a large medical center. METHODS: A survey of 3462 employees was conducted to generate responses to Sexton’s Safety Attitudes Questionnaire (SAQ) to assess perceptions of work environment via a series of five-point, Likert-scaled questions. Path analysis was performed, using teamwork (TW) and collaboration (CO) as endogenous variables. The exogenous variables are effective communication (EC), safety culture (SC), job satisfaction (JS), work pressure (PR), and work climate (WC). The measurement instruments for the variables or summated subscales are presented. Reliability of each sub-scale are calculated. Alpha Cronbach coefficients are relatively strong: TW (0.81), CO (0.76), EC (0.70), SC (0.83), JS (0.91), WP (0.85), and WC (0.78). Confirmatory factor analysis was performed for each of these constructs. RESULTS: Path analysis enables to identify statistically significant predictors of two endogenous variables, teamwork and intra-organizational collaboration. Significant amounts of variance in perceived teamwork (R2 = 0.59) and in collaboration (R2 = 0.75) are accounted for by the predictor variables. In the initial model, safety culture is the most important predictor of perceived teamwork, with a β weight of 0.51, and work climate is the most significant predictor of collaboration, with a β weight of 0.84. After eliminating statistically insignificant causal paths and allowing correlated predictors1, the revised model shows that work climate is the only predictor positively influencing both teamwork (β = 0.26) and collaboration (β = 0.88). A relatively weak positive (β = 0.14) but statistically significant relationship exists between teamwork and collaboration when the effects of other predictors are simultaneously controlled. CONCLUSION: Hospital executives who are interested in improving collaboration should assess the work climate to ensure that employees are

  5. Factors influencing teamwork and collaboration within a tertiary medical center.

    Science.gov (United States)

    Chien, Shu Feng; Wan, Thomas Th; Chen, Yu-Chih

    2012-04-26

    To understand how work climate and related factors influence teamwork and collaboration in a large medical center. A survey of 3462 employees was conducted to generate responses to Sexton's Safety Attitudes Questionnaire (SAQ) to assess perceptions of work environment via a series of five-point, Likert-scaled questions. Path analysis was performed, using teamwork (TW) and collaboration (CO) as endogenous variables. The exogenous variables are effective communication (EC), safety culture (SC), job satisfaction (JS), work pressure (PR), and work climate (WC). The measurement instruments for the variables or summated subscales are presented. Reliability of each sub-scale are calculated. Alpha Cronbach coefficients are relatively strong: TW (0.81), CO (0.76), EC (0.70), SC (0.83), JS (0.91), WP (0.85), and WC (0.78). Confirmatory factor analysis was performed for each of these constructs. Path analysis enables to identify statistically significant predictors of two endogenous variables, teamwork and intra-organizational collaboration. Significant amounts of variance in perceived teamwork (R(2) = 0.59) and in collaboration (R(2) = 0.75) are accounted for by the predictor variables. In the initial model, safety culture is the most important predictor of perceived teamwork, with a β weight of 0.51, and work climate is the most significant predictor of collaboration, with a β weight of 0.84. After eliminating statistically insignificant causal paths and allowing correlated predictors1, the revised model shows that work climate is the only predictor positively influencing both teamwork (β = 0.26) and collaboration (β = 0.88). A relatively weak positive (β = 0.14) but statistically significant relationship exists between teamwork and collaboration when the effects of other predictors are simultaneously controlled. Hospital executives who are interested in improving collaboration should assess the work climate to ensure that employees are operating in a setting conducive

  6. Do early life factors influence body mass index in adolescents?

    Directory of Open Access Journals (Sweden)

    M.Z. Goldani

    Full Text Available The association between early life factors and body mass index (BMI in adulthood has been demonstrated in developed countries. The aim of the present study was to assess the influence of early life factors (birth weight, gestational age, maternal smoking, and social class on BMI in young adulthood with adjustment for adult socioeconomic position. A cohort study was carried out in 1978/79 with 6827 mother-child pairs from Ribeirão Preto city, located in the most developed economic area of the country. Biological, economic and social variables and newborn anthropometric measurements were obtained shortly after delivery. In 1996, 1189 males from this cohort, 34.3% of the original male population, were submitted to anthropometric measurements and were asked about their current schooling on the occasion of army recruitment. A multiple linear regression model was applied to determine variables associated with BMI. Mean BMI was 22.7 (95%CI = 22.5-23.0. After adjustment, BMI was 1.22 kg/m² higher among infants born with high birth weight (³4000 g, 1.21 kg/m² higher among individuals of low social class at birth and 0.69 kg/m² higher among individuals whose mothers smoked during pregnancy (P < 0.05. The association between social class at birth and BMI remained statistically significant (P < 0.05 even after adjustment for adult schooling. These findings suggest that early life social influences on BMI were more important and were not reversed by late socioeconomic position. Therefore, prevention of overweight and obesity should focus not only on changes in adult life styles but also on factors such as high birth weight.

  7. Abiotic environmental factors influencing blowfly colonisation patterns in the field.

    Science.gov (United States)

    George, Kelly A; Archer, Melanie S; Toop, Tes

    2013-06-10

    The accuracy of minimum post-mortem interval (mPMI) estimates usually hinges upon the ability of forensic entomologists to predict the conditions under which calliphorids will colonise bodies. However, there can be delays between death and colonisation due to poorly understood abiotic and biotic factors, hence the need for a mPMI. To quantify the importance of various meteorological and light-level factors, beef liver baits were placed in the field (Victoria, Australia) on 88 randomly selected days over 3 years in all seasons and observed every 60-90 min for evidence of colonisation. Baits were exposed during daylight, and the following parameters were measured: barometric pressure, light intensity, wind speed, ambient temperature, relative humidity and rainfall. Collected data were analysed using backward LR logistic regression to produce an equation of colonisation probability. This type of analysis removes factors with the least influence on colonisation in successive steps until all remaining variables significantly increase the accuracy of predicting colonisation presence or absence. Ambient temperature was a positive predictor variable (an increase in temperature increased the probability of calliphorid colonisation). Relative humidity was a negative predictor variable (an increase in humidity decreased the probability of calliphorid colonisation). Barometric pressure, light intensity, wind speed and rainfall did not enhance the accuracy of the probability model; however, analysis of species activity patterns suggests that heavy rainfall and strong wind speeds inhibit calliphorid colonisation. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  8. Factors influencing phototaxis in nocturnal migrating birds.

    Science.gov (United States)

    Zhao, Xuebing; Chen, Mingyan; Wu, Zhaolu; Wang, Zijiang

    2014-12-01

    Many migratory bird species fly during the night (nocturnal migrants) and have been shown to display some phototaxis to artificial light. During 2006 to 2009, we investigated phototaxis in nocturnal migrants at Jinshan Yakou in Xinping County (N23°56', E101°30'; 2400 m above sea-level), and at the Niaowang Mountain in Funing County (N23°30', E105°35'; 1400 m above sea-level), both in the Yunnan Province of Southwest China. A total of 5069 birds, representing 129 species, were captured by mist-netting and artificial light. The extent of phototaxis effect on bird migration was examined during all four seasons, three phases of the moon, and under two weather conditions (mist and wind). Data were statistically analyzed to determine the extent to which these factors may impact phototaxis of nocturnal migrants. The results point to phototaxis in birds migrating in the spring and autumn, especially in the autumn. Furthermore, migrating birds were more readily attracted to artificial lights during nights with little moonlight, mist, and a headwind. Regardless of the initial orientation in which birds flew, either following the wind or against the wind, birds would always fly against the wind when flying towards the light. This study broadens our understanding of the nocturnal bird migration, potentially resulting in improved bird ringing practices, increased awareness, and better policies regarding bird protection.

  9. Factors Influencing Dropouts' GED & Diploma Attainment

    Directory of Open Access Journals (Sweden)

    Jeffrey C. Wayman

    2001-02-01

    Full Text Available This study examined correlates of degree attainment in high school dropouts. Participants were high school dropouts of Mexican American or non-Latino white descent who had no degree, a high school degree, or a GED certificate. This study was unique in that it accounted for sample bias of missing data through the use of multiple imputation, it considered students who had dropped out as early as 7th grade, and it was able to include variables found significant in previous research on returning dropouts. Logistic regression analyses identified a parsimonious set of factors which distinguished dropouts who held degrees (diploma or GED from those who did not. Similar analyses were performed to distinguish participants who had attained diplomas from those who had attained GEDs. It was estimated that 59.2% of dropouts return to obtain high school credentials. School capability, age at dropout, and socio-economic status significantly predicted degree attainment. Presence of children, higher school capability and socio-economic status were associated with GED attainment, while later grade at dropout was associated with diploma attainment. These relationships did not vary by ethnicity, although degree attainment was less likely for Mexican American dropouts. The study concludes that dropping out is not the end of a student's education, and more research should be directed toward returning dropouts. Further, the focus of such research should be expanded to include a more positive and broader range of correlates.

  10. Factors that Influence Quality Service of Teachers

    Directory of Open Access Journals (Sweden)

    M. Nur Mustafa

    2013-07-01

    Full Text Available Education as a profession requires a thorough commitment and sincerity among educators in guiding and shaping the patterns of learning toward forming identities and lead change in the students. As an adult with a lot of knowledge and experience, classroom becomes an important medium for the delivery and access to knowledge to the students in an instructional condition that effectively and efficiently. Therefore, all educators need to prepare themselves to face challenges to deal with children as a leader in charge in constructing a conducive and persuasive educational relationship. Important characteristics in this context is how to create a memorable delivery systems that meet the standard qualities and aligned with the education laws enforced. As a teacher who has received training from experts and civil servants thus all actions taken should be sincere, open, meet the service specification that gives attention to the self-esteem of the students with a good service, quality, and meet their needs. Therefore, this study will discuss the main factors that affect the quality of service to the students among the teachers namely motivation and professional competence. Selected samples in this study were 327 teachers from Secondary School in Pekanbaru. This study has shown a clear interest in improving the quality of motivation and the quality of service of teachers to the students. The aspects of the professional competence of teachers are still experiencing problems in applying the knowledge and skills to lead and manage the classroom inrealizing   a conducive environment.

  11. Giving children a voice: Exploring qualitative perspectives on factors influencing recess physical activity

    DEFF Research Database (Denmark)

    Pawlowski, Charlotte Skau; Schipperijn, Jasper; Tjørnhøj-Thomsen, Tine

    2018-01-01

    11–12-year-old children. The socio-ecological model was used as the overall theoretical framework. Twelve factors were identified as influencing the children’s recess physical activity: bodily self-esteem and ability; gender; gendered school culture; peer influence; conflicts and exclusion; space...

  12. A Parametric Factor Model of the Term Structure of Mortality

    DEFF Research Database (Denmark)

    Haldrup, Niels; Rosenskjold, Carsten Paysen T.

    The prototypical Lee-Carter mortality model is characterized by a single common time factor that loads differently across age groups. In this paper we propose a factor model for the term structure of mortality where multiple factors are designed to influence the age groups differently via...... parametric loading functions. We identify four different factors: a factor common for all age groups, factors for infant and adult mortality, and a factor for the "accident hump" that primarily affects mortality of relatively young adults and late teenagers. Since the factors are identified via restrictions...... on the loading functions, the factors are not designed to be orthogonal but can be dependent and can possibly cointegrate when the factors have unit roots. We suggest two estimation procedures similar to the estimation of the dynamic Nelson-Siegel term structure model. First, a two-step nonlinear least squares...

  13. Influence diagnostics in meta-regression model.

    Science.gov (United States)

    Shi, Lei; Zuo, ShanShan; Yu, Dalei; Zhou, Xiaohua

    2017-09-01

    This paper studies the influence diagnostics in meta-regression model including case deletion diagnostic and local influence analysis. We derive the subset deletion formulae for the estimation of regression coefficient and heterogeneity variance and obtain the corresponding influence measures. The DerSimonian and Laird estimation and maximum likelihood estimation methods in meta-regression are considered, respectively, to derive the results. Internal and external residual and leverage measure are defined. The local influence analysis based on case-weights perturbation scheme, responses perturbation scheme, covariate perturbation scheme, and within-variance perturbation scheme are explored. We introduce a method by simultaneous perturbing responses, covariate, and within-variance to obtain the local influence measure, which has an advantage of capable to compare the influence magnitude of influential studies from different perturbations. An example is used to illustrate the proposed methodology. Copyright © 2017 John Wiley & Sons, Ltd.

  14. Identifying the important factors in simulation models with many factors

    NARCIS (Netherlands)

    Bettonvil, B.; Kleijnen, J.P.C.

    1994-01-01

    Simulation models may have many parameters and input variables (together called factors), while only a few factors are really important (parsimony principle). For such models this paper presents an effective and efficient screening technique to identify and estimate those important factors. The

  15. Analysis of factors influencing organic fruit and vegetable purchasing in Istanbul, Turkey.

    Science.gov (United States)

    Oraman, Yasemin; Unakitan, Gökhan

    2010-01-01

    This article examines the influences on the purchasing decisions of fruit and vegetable consumers and presents findings from a survey conducted with 385 respondents living in urban areas in Istanbul, Turkey. It uses a binary logistic model to estimate factor effects in organic fruit and vegetable purchasing in Turkey. The results indicate that concern for human health and safety is a key factor that influences consumer preferences for organic food. Findings will help organic product suppliers understand the key factors influencing consumer purchasing and consumption behaviors.

  16. Factors influencing societal response of nanotechnology : an expert stakeholder analysis

    NARCIS (Netherlands)

    Gupta, N.; Fischer, A.R.H.; Lans, van der I.A.; Frewer, L.J.

    2012-01-01

    Nanotechnology can be described as an emerging technology and, as has been the case with other emerging technologies such as genetic modification, different socio-psychological factors will potentially influence societal responses to its development and application. These factors will play an

  17. New factors influencing G protein coupled receptors' system functions

    African Journals Online (AJOL)

    New factors such as the G protein coupled receptor (GPCR) surrounding's chemical environment, cell membrane constituents, the existent gap junction, endogenous receptor affinity status and animal species have been shown to influence the GPCR physiology and variations of those factors can modify the functions of the ...

  18. Factors Influencing the Outcomes in Extradural Haematoma Patients

    African Journals Online (AJOL)

    pupillary abnormalities and those older than age 61 are poor prognostic indicators. Key Words: Extradural hematoma, Head injury,. Intracranial hematoma, Outcome. Factors Influencing the Outcomes in Extradural. Haematoma Patients. Kiboi JG, Nganga HK, ... Pre-morbid risk factors, surgical variables such as type of ...

  19. Factors influencing eating attitudes in secondary-school girls in ...

    African Journals Online (AJOL)

    Peer and media (television) factors are not significantly influential. The findings provide preliminary data on factors that influence eating attrtudes in a group at risk for the development of eating disorders. The findings have implications for the formulation of preventive strategies within a comprehensive treatment approach.

  20. Factors Influencing the Adoption of Minimally Invasive Surgery ...

    African Journals Online (AJOL)

    Background: Cost is a major concern for delivery of minimally invasive surgical technologies due to the nature of resources required. It is unclear whether factors extrinsic to technology availability impact on this uptake. Objectives: To establish the influence of institutional, patient and surgeon-related factors in the adoption of ...

  1. Factors influencing women's utilization of public health care services ...

    African Journals Online (AJOL)

    Background: Maternal mortality remains a public health challenge claiming many lives at the time of giving birth lives. However, there have been scanty studies investigating factors influencing women's use of public health facilities during childbirth. Objective: The aim of the study was to explore the factors associated with ...

  2. Factors that may influence South African nurses' decisions to emigrate

    African Journals Online (AJOL)

    The global shortage of nurses, creating opportunities for South African nurses to work in foreign countries, as well as a variety of factors related to nursing, health care and the general living conditions in South Africa influence nurses' decisions to emigrate. The purpose of this study was to explore and describe the factors ...

  3. Socio-economic factors influencing cassava production in Kuje and ...

    African Journals Online (AJOL)

    This study examined socio-economic factors influencing output level of cassava production in Kuje and Abaji Area Councils of Federal Capital Territory, Abuja. The specific objectives were to:identify the socio-economic characteristics of sampled cassava farmers in the study area; determine the socio-economic factors ...

  4. The influence of family factors on delinquent adolescents in ...

    African Journals Online (AJOL)

    This study was carried out with the aim of finding out the influence of family factors on delinquent adolescents in secondary schools in Edo South Senatorial District of Edo State. This study ascertained the extents to which family factors such as parent child rearing style, family type and parent socio economic background ...

  5. Psychosocial Factors Influencing Competency of Children's Statements on Sexual Trauma

    Science.gov (United States)

    Kim, Tae Kyung; Choi, Soul; Shin, Yee Jin

    2011-01-01

    Objectives: The objectives of this study are to assess children's competence to state their traumatic experience and to determine psychosocial factors influencing the competency of children's statements, such as emotional factors of children and parents and trauma-related variables, in Korean child sex abuse victims. Methods: We enrolled 214…

  6. Factors influencing the pattern of malnutrition among acutely ill ...

    African Journals Online (AJOL)

    Factors influencing the pattern of malnutrition among acutely ill children presenting in a tertiary hospital in Nigeria. ... The factors associated with malnutrition included early introduction of complementary diets, number of children in the home, maternal illiteracy and lower socioeconomic status of the parents. Female children ...

  7. 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

  8. Factors influencing Sudanese microfinance intention to adopt mobile banking

    Directory of Open Access Journals (Sweden)

    Anwar Ammar

    2016-12-01

    Full Text Available Access to financial service has become a key phenomenon for economic development and poverty alleviation .Microfinance is one way of fighting poverty in Sudan, where most citizens are in need of it. However, despite the initial results showing a positive impact of microfinance on the livelihood of low-income people in Sudan, around 8 million of the Sudanese poor people are excluded from microfinance services. One potential remedy for the limited outreach of microfinance in Sudan may lie within enhancing the capacity of microfinance services providers (MFPs in the utilization of modern technology. Recent innovation in providing financial services in a convenient and efficient way is the use of mobile banking (m-banking technology in microfinance. M-banking promises to increase the efficiency and outreach of microfinance services in developing countries. This paper tries to examine the factors that influence the adoption of m-banking by microfinance sector in Sudan. In this respect, hypotheses were developed guided by Unified Theory of Acceptance and Use of Technology (UTAUT and Technology-organization-Environment (TOE models. Primary data were collected from MFPs and microfinance customers in Sudan using questionnaires and interviews. The study contributes to knowledge in terms of methods used by extending aforementioned theories through adding new variables to both models by putting both models in one study to fill the gaps in past studies; via examination of the demand (customers and supply (institutions through modifying them to include new variables related to m-banking in microfinance.

  9. Factors influencing lysis time stochasticity in bacteriophage λ

    Directory of Open Access Journals (Sweden)

    Dennehy John J

    2011-08-01

    Full Text Available Abstract Background Despite identical genotypes and seemingly uniform environments, stochastic gene expression and other dynamic intracellular processes can produce considerable phenotypic diversity within clonal microbes. One trait that provides a good model to explore the molecular basis of stochastic variation is the timing of host lysis by bacteriophage (phage. Results Individual lysis events of thermally-inducible λ lysogens were observed using a temperature-controlled perfusion chamber mounted on an inverted microscope. Both mean lysis time (MLT and its associated standard deviation (SD were estimated. Using the SD as a measure of lysis time stochasticity, we showed that lysogenic cells in controlled environments varied widely in lysis times, and that the level of lysis time stochasticity depended on allelic variation in the holin sequence, late promoter (pR' activity, and host growth rate. In general, the MLT was positively correlated with the SD. Both lower pR' activities and lower host growth rates resulted in larger SDs. Results from premature lysis, induced by adding KCN at different time points after lysogen induction, showed a negative correlation between the timing of KCN addition and lysis time stochasticity. Conclusions Taken together with results published by others, we conclude that a large fraction of λ lysis time stochasticity is the result of random events following the expression and diffusion of the holin protein. Consequently, factors influencing the timing of reaching critical holin concentrations in the cell membrane, such as holin production rate, strongly influence the mean lysis time and the lysis time stochasticity.

  10. FACTORS INFLUENCING BIOSECURITY ADOPTION ON LAYING HEN FARMERS

    Directory of Open Access Journals (Sweden)

    V.S. Lestari

    2014-10-01

    Full Text Available The present study was undertaken to identify factors that influences biosecurity adoption on layinghen farmers in Sidrap district, South Sulawesi. This district was choosen because beside it was famousas the center of laying hen farms, it was also as one of districts in South Sulawesi which suffered fromAvian influenza outbreak. Total samples were 60 respondents. The samples were choosen throughstratified random sampling from two subdistricts which had the most populous of layer smallholders,namely Baranti and Maritengngae. Data were obtained through observations and interviews using aquestionnaire. Data were analyzed using a score based on biosecurity status. Biosecurity status wasobtained based on the adoption of biosecurity measures which consisted of 9 stages: farm inputs, trafficonto farms, distance from sources of pathogens to shed, exposure of farm, biosecurity at farm boundary,biosecurity between farm boundary and shed, biosecurity at the shed door, traffic into the shed andsusceptibility of the flock. Multiple regression model was employed to analyze the data. The studyrevealed that the adoption biosecurity were associated with gender, age, education, farming experience,farm-income, family size and social capital. These variables contributed 20% variation in biosecurityadoption of laying hen farms. However, only farm income, family size and social capital were the majorfactors influencing to the adoption of biosecurity (P<0.05.

  11. Factors that influence the development of an organ donation program.

    Science.gov (United States)

    Matesanz, R

    2004-04-01

    The shortage of cadaveric donors is a universal problem that imposes a severe limit on the number of patients who can benefit from transplantation. At the same time, there is an ever-increasing demand for cadaveric solid organs all over the world. The organ shortage is not due to a lack of potential donors, but rather to a failure to turn many potential into actual donors. Spain is the only example in the world of continuous improvement in cadaveric organ donation registered in a large country during more than 10 years. This success is due to a proactive donor detection program performed by well-trained transplant coordinators, introduction of systematic death audits in hospitals, and the combination of a positive social atmosphere, an adequate management of mass media relations, and on adequate economic reimbursement for the hospitals. This model can be partial or totally adapted to other countries or regions, if basic conditions are guaranteed. A careful study of local characteristics, which influence organ donation in a direct or indirect way, should be performed before planning specific actions to improve organ donor rates. The principle factors that influence the development of this type of program are described in this article.

  12. Factors influencing dust exposure: finishing activities in drywall construction.

    Science.gov (United States)

    Simmons, Catherine E; Jones, Rachael M; Boelter, Fred W

    2011-05-01

    Sanding drywall joint compound is a dusty construction activity. We studied potential factors influencing exposure to respirable and total dust for sanders and bystanders in the area of drywall joint compound finishing in 17 test events within a room-scale isolation chamber. We found the air change rate to be negatively correlated with dust C(twa) both in the sander's personal breathing zone and surrounding area. We could not conclude that sanding tool type systematically influences dust C(twa), but the use of 80-grit abrasive was associated with the highest dust C(twa). We found respirable dusts were uniformly dispersed 1-8.2 m from sanding activities at a fixed location. As anticipated, both respirable and total dust C(twa) in the sander's personal breathing zone are higher than in the surrounding area. The respirable fraction of the total dust mass C(twa) was greater in the surrounding area than in the sander's personal breathing zone. Respirable dust concentrations measured in real time increased over the duration of sanding, exhibiting a temporal trend that is similar to that predicted by the well-mixed box model with contaminant removal by mechanical ventilation only, and continuous emission. Dust concentrations returned to pre-activity (background) levels 2-4 hr after cessation of the sanding activity.

  13. Intention to use online travel reviews in choosing an accommodation: Influencing factors

    OpenAIRE

    Marcela Martins Silva; Luiz Mendes Filho

    2014-01-01

    More and more consumers are reading and sharing travel-related comments on the internet that are published by travelers rather than consulting information generated by tourism service providers. The present study aims to analyze the influencing factors on the intention to use online travel reviews (OTR) in choosing an accommodation. To support the research, this study uses the Technology Acceptance Model and Motivational Theory to understand what the influencing factors are related to OTR in ...

  14. Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals

    OpenAIRE

    Alam, Md Golam Rabiul; Masum, Abdul Kadar Muhammad; Beh, Loo-See; Hong, Choong Seon

    2016-01-01

    The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption deci...

  15. Factors influencing intentions to use social recommender systems: a social exchange perspective.

    Science.gov (United States)

    Chang, Tsung-Sheng; Hsiao, Wei-Hung

    2013-05-01

    This study employs the perspective of social exchange theory and seeks to understand users' intentions to use social recommender systems (SRS) through three psychological factors: trust, shared values, and reputation. We use structural equation modeling to analyze 221 valid questionnaires. The results show that trust has a direct positive influence on the intention to use SRS, followed by shared values, whereas reputation has an indirect influence on SRS use. We further discuss specific recommendations concerning these factors for developing SRS.

  16. Factors negatively influencing knowledge sharing in software development

    Directory of Open Access Journals (Sweden)

    Lucas T. Khoza

    2017-07-01

    Objective: This study seeks to identify factors that negatively influence knowledge sharing in software development in the developing country context. Method: Expert sampling as a subcategory of purposive sampling was employed to extract information, views and opinions from experts in the field of information and communication technology, more specifically from those who are involved in software development projects. Four Johannesburg-based software developing organisations listed on the Johannesburg Stock Exchange (JSE, South Africa, participated in this research study. Quantitative data were collected using an online questionnaire with closed-ended questions. Results: Findings of this research reveal that job security, motivation, time constraints, physiological factors, communication, resistance to change and rewards are core factors negatively influencing knowledge sharing in software developing organisations. Conclusions: Improved understanding of factors negatively influencing knowledge sharing is expected to assist software developing organisations in closing the gap for software development projects failing to meet the triple constraint of time, cost and scope.

  17. Which factors influence women in the decision to breastfeed?

    Directory of Open Access Journals (Sweden)

    Cândida Canicali Primo

    Full Text Available Objective.Identify the factors that influence women in the decision to breastfeed. Methods. Integrative review. Information was gathered from original articles, case studies, theoretical studies, consensus and systematic reviews published between 2007-2013 in Spanish, Portuguese and English and recovered in the databases MEDLINE and LILACS. The descriptors used in this study were: breastfeeding, maternal behavior, risk factors, lactation and newborn. Results. Were included 30 articles, grouped into five categories. Factors influencing the decision of the breastfeeding woman are a convergence of breastfeeding's advantages, benefits and justifications, family, social and professional support, sociodemographic and clinical characteristics of women, personal experience and family tradition and personal choice. Conclusion. The decision to breastfeed by women is influenced by a convergence of factors. It is essential the role of nursing to encourage women in the decision to initiate and maintain breastfeeding her child.

  18. Factors influencing investment in commercial pig production on ...

    African Journals Online (AJOL)

    Following a systematic sampling procedure, 124 households were interviewed to identify variables that influence their decisions on whether or not to invest in commercial pig production. Using a binary logistic regression model the analytical results revealed that the decisions are significantly influenced by gender of ...

  19. The influence of site factors on nitrogen mineralization in forest soils ...

    African Journals Online (AJOL)

    This process of the N cycle can therefore be considered as the rate limiting step influencing tree growth. N mineralization is controlled by a complex interaction of various site factors, and numerous correlations and interactions between NH4 + mineralization (summer) and site factors are discussed. Statistical models were ...

  20. Understanding Influence within the Context of Nursing: Development of the Adams Influence Model Using Practice, Research, and Theory.

    Science.gov (United States)

    Adams, Jeffrey M; Natarajan, Sudha

    2016-01-01

    Acquiring influence, and knowing how to use it, is a required competency for nurse leaders, yet the concept of influence and how it works is not well described in the nursing literature. In this article, the authors examine what is known about influence and present an influence model specific to nurse leaders. The Adams Influence Model was developed through an iterative process and is based on a comprehensive review of the influence literature, expert commentary, multiple pilot studies, evaluation of nursing theories, and validation by an external data source. Rather than defining "how to" influence, the model serves as a guide for personal reflection, helping nurse leaders understand and reflect on the influence process and factors, tactics, and strategies they can use when seeking to influence others.

  1. Analysis of a factor that influences cancer outpatient fatigue

    International Nuclear Information System (INIS)

    Kogure, Mayumi; Hosokawa, Mai; Takagai, Junko; Ishida, Kazuko; Kano, Taro; Kanda, Kiyoko

    2008-01-01

    The fatigue seen in many cancer cases is considered to be decrease quality of life. We clarified factors related to such fatigue and used out result to relieve fatigue. We conducted a questionnaire using the Cancer Fatigue Scale (CFS) on 204 cancer outpatients at the A hospital. We studied 16 factors influencing fatigue and analyzed the relationships among these factors and CFS scores. The mean of total fatigue scores was 23.0 points (standard deviation: 10.0). The fatigue is strong by higher than 19 points of the CFS scores. That frequency was 64.7%. The logistic regression analysis was conducted the influence factors of fatigue. Logistic regression analysis was conducted for items showing a significant difference Performance States (PS), loneliness, hormonal therapy, and radiation therapy. The conclusion of this study was to reduce fatigue in outpatient cancer treatment, it was suggested to that importance to assess a related factor of fatigue. (author)

  2. A survey on critical factors influencing agricultural insurance

    Directory of Open Access Journals (Sweden)

    Ali Valipour

    2013-01-01

    Full Text Available Agricultural business is a very high-risk job and an increase demand for agricultural products from one side and steady increase in production cost and weather changes, on the other side, have motivated many to use insurance for agricultural products. Insurance plays an important role in influencing crop production and insured satisfaction or farmers. The purpose of this research is to find critical components in agricultural insurance. Based on an exploration of the literature review and interviews, the proposed study of this paper extracts 24 variables and using factor analysis, we select the most important factors, which are grouped in seven categories. The implementation of our factor analysis has revealed uncertainty, moderator, market equilibrium, risky environment, empowering factor, education, training, structural hazards and natural ecosystems as the most important factors influencing agricultural industry.

  3. A survey on critical factors influencing organizational commitment

    Directory of Open Access Journals (Sweden)

    Hamidreza Kheirkhah

    2014-04-01

    Full Text Available Organizational commitment is an important issue and organization attitude has become an area of study among many researchers in the fields of organizational behavior. In fact, there are many studies on human resource management where the effects of organizational commitment on other issues have been investigated and the purpose of this research is to find critical factors influencing on organizational commitment. Based on an exploration of the literature review and interviews, the proposed study of this paper extracts 24 variables and using factor analysis, we select the most important factors, which are grouped in four categories. The implementation of our factor analysis has revealed Affective commitment, Continuous commitment, Moral commitment and Enduring commitment are the most important factors influencing organizational commitment.

  4. Factors Influencing Real Estate Brokerage Sales Staff Performance

    OpenAIRE

    Michael A. Abelson; K. Michele Kacmar; Ellen F. Jackofsky

    1990-01-01

    This research examined factors that affect residential real estate sales staff performance from sixteen firms of various sizes in different residential markets. The human capital model was related to sales staff commission earnings. A psychological factors model and management systems model were introduced that explained variance beyond that accounted for by the human capital model. Multiple regression analysis demonstrated that five of the twenty-seven variables examined accounted for most o...

  5. Factors Influencing Poverty Alleviation amongst Microfinance Adopting Households in Zambia

    Directory of Open Access Journals (Sweden)

    Mavhungu Abel Mafukata

    2016-01-01

    Full Text Available The main objective of this paper is to investigate the factors having the most influence on the alleviation of poverty amongst the households adopting microfinance in Zambia. Ninety nine (n=99 respondents were randomly and purposively selected from amongst 340 microfinance adopters of the so-called Micro Bankers Trust programme operating a microfinance business in the Makululu Compound of Kabwe, Zambia. Socio-demographic primary data were collected through face-to-face interviews based on a semi-structured questionnaire instrument. The data were entered into an excel spreadsheet for analysis. The descriptive data were thereafter exported and fitted to an empirical model. The descriptive results revealed that the majority of the respondents were married, unemployed, fairly educated younger women from larger-sized poor households who drew their household income mainly from microfinance activities. The majority of the respondents thought microfinance had improved their well-being in some crucial areas. The results of the empirical model found that some respondents were indeed alleviated from poverty through microfinance. Conclusion drawn in this paper is that microfinance does alleviate poverty of the poor.

  6. Modeling and numerical simulations of the influenced Sznajd model

    Science.gov (United States)

    Karan, Farshad Salimi Naneh; Srinivasan, Aravinda Ramakrishnan; Chakraborty, Subhadeep

    2017-08-01

    This paper investigates the effects of independent nonconformists or influencers on the behavioral dynamic of a population of agents interacting with each other based on the Sznajd model. The system is modeled on a complete graph using the master equation. The acquired equation has been numerically solved. Accuracy of the mathematical model and its corresponding assumptions have been validated by numerical simulations. Regions of initial magnetization have been found from where the system converges to one of two unique steady-state PDFs, depending on the distribution of influencers. The scaling property and entropy of the stationary system in presence of varying level of influence have been presented and discussed.

  7. FACTORS INFLUENCING BRAND EQUITY OF BALI AS A TOURISM DESTINATION

    Directory of Open Access Journals (Sweden)

    I Ketut Surya Diarta

    2016-03-01

    Full Text Available Globally, competition among tourism destinations is more stringent in getting foreign tourists, including Bali. One effort to win the competition is increasing destination brand equity through maintaining its influencing factors and gaining tourist positive behavior toward destination. This effort, in long run, will increase and stabilize destination revenue and sustainability. This research aims to analyze factors influencing brand equity of Bali as a tourism destination. This research was conducted in Bali’s five major tourism objects. The 240 foreign tourists were chosen as respondents through convenience sampling technique. Data were analyzed using factor analysis. The results showed that factors that significantly influenced Bali brand equity were: symbolic and experiential benefit factor, direct and indirect destinations attributes, destination reliability and tangibility, assurance and empathy, brand destinations recognition and recall, destinations common psychological attributes, destination common functional attributes, unique functional attributes, behavioral loyalty, destination awareness, and attitudinal loyalty. Given the fluctuative nature of brand equity, Bali needs a consistent effort to maintain or to enhance brand equity of Bali as a tourism destination. Maintaining the dominant factors that influence the strength of brand equity can be used as a basis to develop destination branding strategy to expand market segment,  choose the right target market, and anchoring destination position in world market competition.

  8. ICT Interventions for Girls: Factors Influencing ICT Career Intentions

    Directory of Open Access Journals (Sweden)

    Elena Gorbacheva

    2014-11-01

    Full Text Available Intervention programs aimed at promoting study and work opportunities in the Information and Communications Technology (ICT field to schoolgirls have been encouraged to combat a decline in the interest among girls to study ICT at school. The goal of our study is to investigate the influence of such interventions on schoolgirls’ intentions to choose a career in the ICT field by analysing comprehensive survey data (n = 3577, collected during four interventions in Australia, using the Partial Least Squares method. Our study is also aimed at identifying other factors influencing ICT career intentions. We found that the attitude towards interventions has an indirect influence on ICT career intentions by affecting interest in ICT. Our results also challenge several existing theoretical studies by showing that factors that had previously been suggested as influencers were found to have little or no impact in this study, these being same-sex education and computer usage.

  9. Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

    OpenAIRE

    Kamal, M; Themistocleous, M; Elliman, T

    2008-01-01

    Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adopti...

  10. Evaluation of Factors Influencing Student Class Attendance and Performance

    OpenAIRE

    Stephen Devadoss; John Foltz

    1996-01-01

    This study quantifies the effects of student behavior, teacher attributes, and course characteristics on class attendance and performance. Several notable factors that influence attendance and grades are motivation, prior grade point average (GPA), self-financing by students, hours worked on jobs, quality of teaching, and nature of class lectures. This study provides strong empirical evidence of the positive influence of class attendance on student performance. Copyright 1996, Oxford Universi...

  11. Factors Influencing the Intended Likelihood of Exposing Sexual Infidelity.

    Science.gov (United States)

    Kruger, Daniel J; Fisher, Maryanne L; Fitzgerald, Carey J

    2015-08-01

    There is a considerable body of literature on infidelity within romantic relationships. However, there is a gap in the scientific literature on factors influencing the likelihood of uninvolved individuals exposing sexual infidelity. Therefore, we devised an exploratory study examining a wide range of potentially relevant factors. Based in part on evolutionary theory, we anticipated nine potential domains or types of influences on the likelihoods of exposing or protecting cheaters, including kinship, strong social alliances, financial support, previous relationship behaviors (including infidelity and abuse), potential relationship transitions, stronger sexual and emotional aspects of the extra-pair relationship, and disease risk. The pattern of results supported these predictions (N = 159 men, 328 women). In addition, there appeared to be a small positive bias for participants to report infidelity when provided with any additional information about the situation. Overall, this study contributes a broad initial description of factors influencing the predicted likelihood of exposing sexual infidelity and encourages further studies in this area.

  12. Factors influencing health information system adoption in American hospitals.

    Science.gov (United States)

    Wang, Bill B; Wan, Thomas T H; Burke, Darrell E; Bazzoli, Gloria J; Lin, Blossom Y J

    2005-01-01

    To study the number of health information systems (HISs), applicable to administrative, clinical, and executive decision support functionalities, adopted by acute care hospitals and to examine how hospital market, organizational, and financial factors influence HIS adoption. A cross-sectional analysis was performed with 1441 hospitals selected from metropolitan statistical areas in the United States. Multiple data sources were merged. Six hypotheses were empirically tested by multiple regression analysis. HIS adoption was influenced by the hospital market, organizational, and financial factors. Larger, system-affiliated, and for-profit hospitals with more preferred provider organization contracts are more likely to adopt managerial information systems than their counterparts. Operating revenue is positively associated with HIS adoption. The study concludes that hospital organizational and financial factors influence on hospitals' strategic adoption of clinical, administrative, and managerial information systems.

  13. A study of university student’s entrepreneurial intention based on influence factors

    Directory of Open Access Journals (Sweden)

    Ying Lv

    2017-06-01

    Full Text Available In recent years, university student’s entrepreneurship has been in a prosperous rise. Hence, there’re more and more important functions in studying university student’s entrepreneurial intention. With sufficient understanding of university student’s entrepreneurial intention, we are able to provide timely and appropriate guidance and assistance which can have great reference value on university students, universities, and state policies. At present, qualitative research is the focus of related studies at home and abroad. The development of quantitative research is slow. In order to solve the influence and functions that influence factors have on university student’s entrepreneurial intention, this thesis established mathematical models according to the relations among those influence factors. However, there’s certain complexity in solving the influence factors of university student’s entrepreneurial intention. In many cases, a single algorithm cannot well solve the problems of evaluation accuracy and fault-tolerant capability. By optimizing fuzzy comprehensive evaluation algorithm, this thesis introduced neural network into complex models and had training on the parameters of neural network in the introduced ant colony algorithm; thus obtained university student’s entrepreneurial intention study model based on influence factor and a new thought on solution. With organic combination of algorithms, this thesis has innovated and improved the existing algorithms and their applying reliability and accuracy. Quantitative analysis and ex-planation about the influence factors in study of university student’s entrepreneurial intention will be shown in this thesis.

  14. The Factors That Influence Bureaucracy and Professionalism in Schools: A Grounded Theory Study

    Science.gov (United States)

    Koybasi, Fatma; Ugurlu, Celal Teyyar

    2017-01-01

    The aim of this study is to identify the factors that influence the interaction between bureaucracy and professionalism in schools and to develop a model of bureaucracy-professionalism interaction. This is a qualitative study carried out in grounded theory model. The study group consisted of 10 male and 10 female teachers who were working in Sivas…

  15. Factors That Were Found to Influence Ghanaian Adolescents’ Eating Habits

    Directory of Open Access Journals (Sweden)

    Patricia Mawusi Amos

    2012-12-01

    Full Text Available The study sought to find out whether factors such as parental, peer, and media influences predict Ghanaian adolescent students’ eating habits. A random selection of 150 students from a population of senior high school students in Ghana were asked to complete the Eating Habits Questionnaire for Adolescents. Data were analyzed by the use of bivariate correlation, t test, and multiple regression analytical techniques using SPSS version 16. The findings revealed a significant positive relationship between peer influence and eating habits suggesting that the higher the peer pressure, the more unhealthy the students’ eating habits. Counterintuitively, parental and media influences did not significantly correlate with students’ eating habits. Gender difference in eating habits suggested that girls had more unhealthy eating habits than boys. Finally, multiple regression analysis revealed that peer influence was a better predictor of students’ eating habits than parental and media influences. The findings were discussed and recommendations were given in light of the study’s limitations.

  16. Factors influencing consumer behaviour in market vegetables in Yemen

    Directory of Open Access Journals (Sweden)

    Tarish H. Al-Gahaifi

    2011-01-01

    Full Text Available The purpose of the research is to understand factors influencing consumer behaviour when buying vegetables in Republic of Yemen. Data collection was done by structured questionnaire administered through schools, universities, government offices, and markets from 13 provinces in 5 governorates. Random convenience sampling technique was used. Total sample comprised of 463 completed questionnaires which were used for analysis. The respondents were classified into five categories on the base of their monthly income, age, education, gender, and type of settlement. Authors present the factors that can influence significantly this behaviour, e.g. price, quality, the location of seller, habit, personal relationship between consumer and seller, occasions, discount, sorting, word-mouth, time of purchase, the way of products display, and recommendation of friends and families. From the obtained results, it is obvious that there was high influence on the behaviour of Yemeni consumer when buying vegetables for factors price, occasions, discontent, and time of purchase, while factors habit, display, sorting, and the location of seller suggests medium influence, and the influence was low for word-mouth.

  17. Key factors influencing management decisions concerning safety equipment selection.

    Science.gov (United States)

    Chinda, Thanwadee; Ammarapala, Veeris; Suanmali, Suthathip

    2017-08-31

    The construction industry involves many hazardous activities that may expose workers to a wide variety of health hazards. Selection of construction safety equipment is crucial in ensuring workers' safety. This article aims to examine key factors influencing management decisions concerning safety equipment selection, utilizing exploratory factor analysis (EFA) and the analytic hierarchy process (AHP). A questionnaire survey is conducted in the construction companies in Bangkok, Thailand. The factor analysis extracts 103 sets of data into six key factors - namely supplier agreements, supplier support, personal, equipment design, safety-related policies and cost value factors - with a total of 20 associated items. The AHP results conclude that the safety-related policies, equipment design and personal factors are the most important factors when selecting construction safety equipment. A construction company can use the study results as a checklist to help assess different safety equipment, and to select the best equipment.

  18. Robust and Sparse Factor Modelling

    DEFF Research Database (Denmark)

    Croux, Christophe; Exterkate, Peter

    nonzero factor loadings. Compared to the traditional factor construction method, we find that this procedure leads to a favorable forecasting performance in the presence of outliers and to better interpretable factors. We investigate the performance of the method in a Monte Carlo experiment...

  19. Factors of influence and changes in the tourism consumer behaviour

    Directory of Open Access Journals (Sweden)

    Fratu, D.

    2011-01-01

    Full Text Available Consumer behaviour is a very important aspect to be studied in every marketing activity, therefore in tourism marketing as well. Defining and identifying the factors that influence consumers help in understanding individual needs and buying processes in their whole complexity. Consumers have changed their behaviour over the last two years due to the instability of the economic environment. The author describes in this article the factors which influence consumer behaviour and also presents how it has changed over the past two years.

  20. Factors influencing training transfer in nursing profession: a qualitative study.

    Science.gov (United States)

    Ma, Fang; Bai, Yangjing; Bai, Yangjuan; Ma, Weiguang; Yang, Xiangyu; Li, Jiping

    2018-03-20

    There is a growing recognition that training is not translated into performance and the 'transfer problem' exists in organization training today. Although factors contributing to training transfer have been identified in business and industry, the factors influencing training transfer in nursing profession remain less clear. A qualitative descriptive study was undertaken in two tertiary referral hospitals in China from February 2013 to September 2013. Purposeful sampling of 24 nursing staffs were interviewed about the factors influencing training transfer. Seven themes evolved from the analysis, categorized in 4 main domains, which described the factors influencing training transfer in nursing profession in trainee characteristics, training design, work environment and profession domain. The trainee characteristics domain included attitude and ability. The training design domain included training content and instruction method. The work environment domain included supports as facilitators and opposition as hindrance. The theme pertaining to the profession domain was professional development. Health care managers need to understand the factors influencing training transfer for maximizing the benefits of training. The right beliefs and values about training, the rigorous employee selection for training, the relevance of training content, training instructions facilitating learning and transfer, supports from peer, supervisors and the organization, organizational culture such as change, sharing, learning and support, and professional development are key to successful training transfer. Furthermore, managers should be aware of the opposition from co-workers and find ways to prevent it.

  1. Factors Influencing Environmental Management Practices Among Hotels in Malaysia

    OpenAIRE

    Zaiton Samdin; Kasimu Abdu Bakori; Hamimah Hassan

    2012-01-01

    This paper attempts to investigate the factors that influence hotel managers- attitudes towards sustainable tourism practices (STP) in Kuala Lumpur and the state of Selangor in Malaysia. The study distributes 104 questionnaires to hotels ranging from one star to five-star categories including budget hotels. Out of this figure, 60 copies of the questionnaires were returned and analyzed. The finding revealed that of all the seven factors investigated, only the variables measuring incentives and...

  2. Safety Management and Risk Modelling in Aviation : The challenge of quantifying management influences

    NARCIS (Netherlands)

    Lin, P.H.

    2011-01-01

    Aviation accidents result from a combination of many different causal factors ( human errors, technical failures, environmental and organisational influences). Increasing interest over the past two decades in causal modelling of organisational factors has been motivated by the desire to understand

  3. Factors influencing pricing in the accommodation sector in South Africa

    Directory of Open Access Journals (Sweden)

    Engelina du Plessis

    2011-12-01

    Full Text Available Price is a significant factor of competitiveness. Price is a complex issue and is determined by a variety of demand and supply factors. These factors also differ from industry to industry. The purpose of this article is to determine the factors that influence pricing in the South African accommodation sector. In order to generate proper data, a survey was conducted at various South African accommodation establishments that were obtained from the databases of the three major associations in the accommodation sector. Two-hundred and forty seven questionnaires completed by managers from accommodation establishments were used in this research. Principal component factor analyses with Varimax rotation in STATISTICA were carried out. These resulted in ten factors, namely environmental qualities, amenities, image, management factor, positioning, quality service factor, infrastructure service factor, location, marketing and product quality factor. The results revealed that the major factors in pricing are service quality, image and product quality. Consequently this article can be used to assist managers in pricing and in obtaining a better competitive position in the industry by revising management structures and marketing campaigns. Keywords and phrases: Tourism industry, price competitiveness, service quality, image, product quality, entrepreneur and factor analysis

  4. Identifying factors that influence workplace learning in postgraduate medical education.

    Science.gov (United States)

    Stok-Koch, L; Bolhuis, S; Koopmans, R

    2007-05-01

    In their postgraduate educational programs, residents are immersed in a complex workplace. To improve the quality of the training program, it is necessary to gain insight into the factors that influence the process of learning in the workplace. An exploratory study was carried out among 56 nursing home physicians in training (NHPT) and 62 supervisors. They participated in semi-structured group interviews, in which they discussed four questions regarding workplace learning. Qualitative analysis of the data was performed to establish a framework of factors that influence workplace learning, within which framework comparisons between groups could be made. A framework consisting of 56 factors was identified. These were grouped into 10 categories, which in turn were grouped into four domains: the working environment, educational factors in the workplace, NHPT characteristics and supervisor characteristics. Of the factors that influence workplace learning, social integration was cited most often. Supervisors more often reported educational factors and NHPTs more frequently reported impediments. The educational relationship may be improved when supervisors explicitly discuss the learning process and learning conditions within the workplace, thereby focusing on the NHPT needs. Special attention should be paid to the aspects of social integration. A good start could be to answer the question regarding how to establish a basic feeling of 'knowing where you are' and 'how to go about things' to make residents feel comfortable enough to focus on the learning process.

  5. Infrapopliteal Percutaneous Transluminal Balloon Angioplasty: Clinical Results and Influence Factors

    Energy Technology Data Exchange (ETDEWEB)

    Song, Jang Hyeon; Lee, Seung Jin; Jung, Hye Doo; Lim, Jae Hoon; Chang, Nam Kyu; Yim, Nam Yeol; Kim, Jae Kyu [Dept. of Radiology, Chonnam National University Hospital, Gwangju (Korea, Republic of); Lee, Keun Bae [Dept. of Radiology, Chonnam National University Hospital, Gwangju (Korea, Republic of)

    2011-09-15

    To assess the efficacy of percutaneous transluminal angioplasty (PTA) in patients with infrapopliteal arterial disease, and to determine the influencing factor for prognosis. A total of 55 patients (60 limbs) with infrapopliteal arterial stenosis or occlusion underwent PTA. Atherosclerotic risk factors, clinical symptoms, TransAtlantic Inter-Society Consensus (TASC) classification, and vascular wall calcification were evaluated before PTA. The number of patent infrapopliteal arteries was estimated, and the outcome was evaluated by symptom relief and limb salvage. Technical success was achieved in 53/60 limbs (88.3%) and 81/93 arteries (87.1%), TASC classification (p = 0.038) and vascular calcification (p = 0.002) influenced on technical failure. During follow-up, 26 of 55 limbs (47%) achieved symptom relief and 42/55 limbs (76%) underwent limb salvage. Non-diabetic patients (9/12, 75%) were superior to diabetic patients (17/43, 40%) in terms of symptom relief (p = 0.024). TASC classification and vascular wall calcification influenced on symptom relief and limb salvage. The number of patent infrapopliteal arteries after PTA influenced symptom relief (p < 0.001) and limb amputation (p = 0.003). PTA in patients with chronic critical limb ischemia is worthwhile as a primary treatment. The influence factors should be considered before PTA, and PTA should be performed in as many involved arteries as possible.

  6. Factors Influencing Resident Choice of Prosthodontic Residency Program.

    Science.gov (United States)

    Wojnarwsky, Pandora Keala Lee; Wang, Yan; Shah, Kumar; Koka, Sreenivas

    2017-06-01

    The decision by prosthodontic residency program directors to employ the Match process highlights the need to understand applicant priorities that influence their choice of which programs to rank highly. The purpose of this study is to determine the factors that were most important to residents when choosing from among nonmilitary based prosthodontics dental residency programs in the United States. Following completion of a pilot study, all currently enrolled prosthodontic residents at nonmilitary residency programs were invited to participate via the internet. The study consisted of a survey instrument asking residents to rank 26 possible factors that might impact an applicant's choice of residency program. In addition, the instrument collected other possible influencing variables including gender and debt load. Mean rank scores were compared to determine the most and least important factors. Kruskal-Wallis test was used to compare specific factors between the possible influencing variables. Two hundred and thirty residents completed the survey instrument, representing a 54.1% response rate of possible participants. With regard to factors influencing program choice, reputation of the residency program was the factor ranked the highest by participants, followed in descending order by the program director's personality, curriculum content, access to use of the latest digital technology, and opportunities for dental implant placement. Quality of schools for children, community outreach opportunities, and the ability to moonlight were ranked as the least important factors. Male and female residents ranked factors such as tuition/stipend, curriculum content, and community outreach opportunities significantly differently. Depending on debt load, residents ranked the factors tuition/stipend, ability to moonlight, curriculum content, and safety of the area where the program is differently. Current prosthodontic residents valued the reputation of the program as the most

  7. Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China.

    Science.gov (United States)

    Du, Ziqiang; Zhang, Xiaoyu; Xu, Xiaoming; Zhang, Hong; Wu, Zhitao; Pang, Jing

    2017-01-09

    Variability in satellite measurements of terrestrial greenness in drylands is widely observed in land surface processes and global change studies. Yet the underlying causes differ and are not fully understood. Here, we used the GeogDetector model, a new spatial statistical approach, to examine the individual and combined influences of physiographic factors on dryland vegetation greenness changes, and to identify the most suitable characteristics of each principal factor for stimulating vegetation growth. Our results indicated that dryland greenness was predominantly affected by precipitation, soil type, vegetation type, and temperature, either separately or in concert. The interaction between pairs of physiographic factors enhanced the influence of any single factor and displayed significantly non-linear influences on vegetation greenness. Our results also implied that vegetation greenness could be promoted by adopting favorable ranges or types of major physiographical factors, thus beneficial for ecological conservation and restoration that aimed at mitigating environmental degradation.

  8. Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China

    Science.gov (United States)

    Du, Ziqiang; Zhang, Xiaoyu; Xu, Xiaoming; Zhang, Hong; Wu, Zhitao; Pang, Jing

    2017-01-01

    Variability in satellite measurements of terrestrial greenness in drylands is widely observed in land surface processes and global change studies. Yet the underlying causes differ and are not fully understood. Here, we used the GeogDetector model, a new spatial statistical approach, to examine the individual and combined influences of physiographic factors on dryland vegetation greenness changes, and to identify the most suitable characteristics of each principal factor for stimulating vegetation growth. Our results indicated that dryland greenness was predominantly affected by precipitation, soil type, vegetation type, and temperature, either separately or in concert. The interaction between pairs of physiographic factors enhanced the influence of any single factor and displayed significantly non-linear influences on vegetation greenness. Our results also implied that vegetation greenness could be promoted by adopting favorable ranges or types of major physiographical factors, thus beneficial for ecological conservation and restoration that aimed at mitigating environmental degradation.

  9. How visual cognition influences process model comprehension

    NARCIS (Netherlands)

    Petrusel, Razvan; Mendling, Jan; Reijers, Hajo A.

    2017-01-01

    Process analysts and other professionals extensively use process models to analyze business processes and identify performance improvement opportunities. Therefore, it is important that such models can be easily and properly understood. Previous research has mainly focused on two types of factors

  10. Abuse of Working Children and Influencing Factors, Turkey

    Science.gov (United States)

    Oncu, Emine; Kurt, Ahmet Oner; Esenay, Figen Isik; Ozer, Fatma

    2013-01-01

    Objective: The study was planned as the research of the kind/kinds of abuse and the factors influencing the abuse that the children under 18 who are working full-time at a workplace and enrolled in a vocational training center subjected to. Method: Questionnaires were administered to 595 apprentices who were attending a vocational training center.…

  11. Factors Influencing Sesame (Sesamun Indicum L) Marketing in ...

    African Journals Online (AJOL)

    USER

    Journal Seek, Scientific Commons, and http://journal.aesonnigeria.org. Food and Agricultural Organization (FAO) http://www.ajol.info/index.php/jae. Email: editorinchief@aesonnigeria.org. 126 http://dx.doi.org/10.4314/jae.v19i2.11. Factors Influencing Sesame (Sesamun Indicum L) Marketing in. Jigawa State, Nigeria ...

  12. Hepatitus B virus infection : factors influencing the outcome

    NARCIS (Netherlands)

    J. van Hattum (Jan)

    1986-01-01

    textabstractThis study was designed to find correlations between the various courses of disease after hepatitis B virus (HBV) infection and factors that could conceivably have influenced the course of disease. The aim of the study was to find correlations between parameters of viral replication and

  13. Influence of climatic and edaphic factors on the distribution of ...

    African Journals Online (AJOL)

    Influence of climatic and edaphic factors on the distribution of Eragrostis lehmanniana Nees in Arizona, USA. JR Cox, GB Ruyle. Abstract. Aims to delineate areas where Lehmann lovegrass, Eragrostis lehmanniana, has been successfully established from sown seed, where mature plants have persisted for more than ten ...

  14. Consumers with Major Depressive Disorder: Factors Influencing Job Placement

    Science.gov (United States)

    Hergenrather, Kenneth C.; Haase, Eileen; Zeglin, Robert J.; Rhodes, Scott D.

    2013-01-01

    The theory of planned behavior (TPB) was applied to study the factors that influence the intention of public rehabilitation placement professionals to place consumers with major depressive disorder (MDD) in jobs. A sample of 108 public rehabilitation placement professionals in the Mid-Atlantic region of the United States completed the MDD…

  15. Assessing socio–economic factors influencing adoption of legume ...

    African Journals Online (AJOL)

    Despite the numerous benefits of legume-based multiple cropping systems in soil fertility management, most smallholder sorghum farmers have not adopted them. The aim of this study was to examine socio-economic factors influencing adoption of legume-based multiple cropping systems among smallholder sorghum ...

  16. Factors influencing user ability to retrieve information from the ...

    African Journals Online (AJOL)

    Factors influencing user ability to retrieve information from the reference libraries in University of Calabar (UNICAL) and Cross River State University of Technology (CRUTECH) in Cross River State,Nigeria. ... enhancement. Key Words : University, Libraries, Reference, Librarians, Information , Retrieval, User, Service.

  17. Factors Influencing the Usage of Insecticide Treated Mosquito Nets ...

    African Journals Online (AJOL)

    Purpose: Malaria in Sudan is a leading cause of morbidity and mortality. Incidence remains very high especially among pregnant women and children under five. study was conducted to determine the factors influencing the usage of insecticide treated mosquito nets (ITNs) for prevention of malaria among pregnant women.

  18. Factors that Influence Male Involvement in Sexual and Reproductive ...

    African Journals Online (AJOL)

    Erah

    This study explored factors that influence male involvement in reproductive health in western Kenya. Qualitative study design was used. From December 2008 to February 2009, data were collected via in-depth interviews and focus group discussions (FGDs) at three provinces of western Kenya. Twelve in-depth interviews ...

  19. Factors Influencing Utilization of Modern Family Planning Services ...

    African Journals Online (AJOL)

    Abstract: This study investigated factors influencing utilization of modern family planning services among women of childbearing age (15-49 years) in the University of Calabar Teaching Hospital, Calabar. Three research questions and three hypotheses were formulated. Descriptive survey design was adopted for it.

  20. Factors influencing adolescent mothers\\' non-utilisation of ...

    African Journals Online (AJOL)

    This study investigated factors influencing adolescent mothers' non-utilisation of contraceptives in the Mkhondo (previously known as the Piet Retief) area. Although contraceptives are available free of charge, the number of adolescent mothers continues to increase in this area. Questionnaires were completed by 107 ...

  1. Factors Influencing Career Choice of Management Students in India

    Science.gov (United States)

    Agarwala, Tanuja

    2008-01-01

    Purpose: This paper aims to explore the influence of a range of factors on the career choice of management students in India. The importance of different individuals in the family and at work in making career choices among these students is also to be explored. In addition, the study seeks to address the relationship of the cultural values of…

  2. Demographic and Social Factors Influencing Public Opinion on ...

    African Journals Online (AJOL)

    This paper examines countervailing South African public opinion on the subject of prostitution in South Africa, and identifies the factors which might influence these attitudes. It also investigates the complex relationship between public opinion and the law. Whilst engaging in prostitution constitutes a criminal offence under ...

  3. Factors influencing energy demand in dairy farming | Kraatz | South ...

    African Journals Online (AJOL)

    The efficiency of energy utilization is one of the key indicators for developing more sustainable agricultural practices. Factors influencing the energy demand in dairy farming are the cumulative energy demand for feed-supply, milk yield as well as the replacement rate of cows. The energy demand of dairy farming is ...

  4. Identifying factors that influence workplace learning in postgraduate medical educaton

    NARCIS (Netherlands)

    Dr. S. Bolhuis; R. Koopmans; L. Stok-Koch

    2007-01-01

    In their postgraduate educational programs, residents are immersed in a complex workplace. To improve the quality of the training program, it is necessary to gain insight into the factors that influence the process of learning in the workplace. An exploratory study was carried out among 56 nursing

  5. Identifying factors that influence workplace learning in postgraduate medical education.

    NARCIS (Netherlands)

    Stok-Koch, E.G.H.J.; Bolhuis, S.M.; Koopmans, R.T.C.M.

    2007-01-01

    CONTEXT: In their postgraduate educational programs, residents are immersed in a complex workplace. To improve the quality of the training program, it is necessary to gain insight into the factors that influence the process of learning in the workplace. METHODS: An exploratory study was carried out

  6. Factors Influencing Pregnancy Desires among HIV Positive Women ...

    African Journals Online (AJOL)

    Fertility issues for HIV-positive women are becoming increasingly important. The study investigated the pregnancy desires of HIV positive women of Gert Sibande District in Mpumalanga, South Africa. The objective of the study is to present findings on factors influencing pregnancy desires amongst HIV positive women that ...

  7. Factors influencing the teaching of physical education and sport in ...

    African Journals Online (AJOL)

    This research study was conducted to gain an understanding of the pedagogic, administrative and attitudinal factors that influence the teaching of Physical Education and Sports in cluster H schools of Chivi district of Zimbabwe. The research employed the descriptive survey design. Data was collected by means of ...

  8. Pantomime production by people with aphasia. What are influencing factors?

    NARCIS (Netherlands)

    van Nispen, Karin; van de Sandt-Koenderman, Mieke; Mol, Elisabeth; Krahmer, Emiel

    2016-01-01

    Purpose: The present paper aimed to inform clinical practice on whether people with aphasia (PWA) deploy pantomime techniques similarly to non-brain damaged participants (NBDP) and if not, what factors influence these differences. Method: We compared 38 PWA to 20 NBDP in their use of six

  9. Author's correction The genetic factors influencing the development ...

    Indian Academy of Sciences (India)

    The genetic factors influencing the development of trichotillomania. Koushik Chatterjee. J. Genet. 91, 259–262. This article was published online on the journal website (www.ias.ac.in/jgenet/) on 2nd November 2011 and also on Springer's. Online First (http://www.springerlink.com/content/0022-1333/preprint/). The changes ...

  10. Factors Influencing Food Choice in the Elderly Mauritian Population ...

    African Journals Online (AJOL)

    Studies assessing past and current overall dietary patterns are limited in the elderly in Mauritius. To address this lack of information, a nutritional study was conducted to investigate the various possible factors and their relative importance in influencing food choices and thus food intake of the elderly people in Mauritius.

  11. Factors Influencing the Adoption of Multimedia Cable Technology.

    Science.gov (United States)

    Lin, Carolyn A.; Jeffres, Leo W.

    1998-01-01

    Integrates several mainstream research approaches to new media diffusion to explore the potential strengths and weaknesses of each. Investigates factors influencing multimedia cable service adoption interest, including demographic variables, existing media-use patterns, and personality traits such as "innovativeness." (SR)

  12. factors influencing adherence to arvs among patients attending

    African Journals Online (AJOL)

    2014-04-01

    Apr 1, 2014 ... FACTORS INFLUENCING ADHERENCE TO ARVS AMONG PATIENTS ATTENDING COMPREHENSIVE CARE CLINIC. WITHIN JOMO KENYATTA ... AIDS-related mortality is increasing among 20 to 49 year olds (Adults in their ..... Impact of HIV/AIDS on Labor Markets, Productivity and Welfare in Southern ...

  13. Factors Influencing Transient Poverty Among Agro-Pastoralists in ...

    African Journals Online (AJOL)

    Factors Influencing Transient Poverty Among Agro-Pastoralists in semi-arid areas of Kenya. ... The number of livelihood sources, education level of the household head, relief food, extension service and distance to the nearest markets were positively related to per capita daily income. A negative relationship was observed ...

  14. Influence of Psycho-demographic Factors and Effectiveness of ...

    African Journals Online (AJOL)

    Sexual risk behaviours (SRBs) among youths continue to reverse the initial gains in HIV/STD control in Nigeria. Very little is known about the interactive influence of psycho-demographic factors (self concept, HIV/AIDS knowledge, and gendezr) and psycho-behavioural interventions (psychoeducation and assertiveness ...

  15. Factors influencing information-seeking strategies and sources used ...

    African Journals Online (AJOL)

    Factors influencing information-seeking strategies and sources used by oil palm scientists in Nigeria. L Obasuyi. Abstract. No Abstract. African Journal of Library Archives and Information Science Vol. 17 (2) 2007: pp. 79-97. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT.

  16. What Factors Influence Vietnamese Students' Choice of University?

    Science.gov (United States)

    Dao, Mai Thi Ngoc; Thorpe, Anthony

    2015-01-01

    Purpose: The purpose of this paper is to report the factors that influence Vietnamese students' choice of university in a little researched context where the effects of globalization and education reform are changing higher education. Design/methodology/approach: A quantitative survey was completed by 1,124 current or recently completed university…

  17. Factors Influencing Sesame ( Sesamun indicum L) Marketing in ...

    African Journals Online (AJOL)

    Results imply that income and experience were major factors that influence the marketing of sesame in the study area. Formation of cooperative societies by marketers of sesame will make them benefit from economies of scale in marketing of sesame and have much access to credit facilities. Key Words: Sesame marketing, ...

  18. 'Sense of belonging': The influence of individual factors in the ...

    African Journals Online (AJOL)

    Methods. Perceptions of the LE among interns in KwaZulu-Natal, SA, were assessed in December 2015, using a validated version of the Postgraduate ... Intern training programmes in SA need to recognise that individual demographic factors influence interns' perceptions in the context of teaching and mentoring in a ...

  19. Factors Influencing Household Solid Waste Management in Urban ...

    African Journals Online (AJOL)

    The main objective of this study was to determine factors that influence household solid waste management practices in urban Nyeri Municipality. Descriptive cross- sectional household survey was conducted in June, 2011. Households were randomly selected in all four urban sub-locations of the Municipality; 313 ...

  20. Influence of demographic factors on knowledge sharing among ...

    African Journals Online (AJOL)

    Knowledge sharing is an effective means to provide information for organizational growth. The study investigated the influence of demographic factors on knowledge sharing among researchers in selected research institutes in Oyo state, Nigeria. The study adopted survey research method. Total enumeration technique was ...

  1. Navigating New Horizons: An Analysis of Factors that Influence ...

    African Journals Online (AJOL)

    The purpose of this study was to assess the factors that influence computer literacy among university students. The study was primarily inspired by the realization that students acquire computer skills at varying levels and progress to use computers with varying proficiency despite the fact that they will be engaging in a ...

  2. Factors influencing breastfeeding practices in Edo state, Nigeria ...

    African Journals Online (AJOL)

    The purpose of this study was to determine factors influencing breastfeeding practices in Edo State, Nigeria. A questionnaire and group interviewed were the instruments used. Data was collected from 600 randomly selected mothers of children aged 4–24 months, who visited four antenatal and children clinics. The data ...

  3. Socio-economic factors influencing small ruminants management ...

    African Journals Online (AJOL)

    Socio-economic factors influencing small ruminants management practices in Kaduna State were investigated. One hundred and twenty questionnaires were administered to randomly selected small ruminants farmers in Giwa LGA of Kaduna State. Tools of analysis include descriptive statistics, the Pearson's correlation ...

  4. Factors Influencing Vitamin A Status of Lactating Mothers in ...

    African Journals Online (AJOL)

    Vitamin A Deficiency (VAD) is a major public health problem that the world is facing today. It is more prevalent in low income countries including Tanzania. This study was conducted to determine factors influencing Vitamin A status of lactating mothers in selected regions of Manyara and Shinyanga, Tanzania. Purposive and ...

  5. Factors influencing career choice after initial training in surgery.

    LENUS (Irish Health Repository)

    McHugh, Seamus

    2011-03-01

    Irish general surgery faces a recruitment crisis with only 87 of 145 (60%) basic surgical training (BST) places filled in 2009. We assessed basic surgical trainees to identify objective, and potentially modifiable, factors that influence ultimate recruitment into a general surgical career.

  6. Factors influencing the development of early- or late-onset ...

    African Journals Online (AJOL)

    Background. Neurodegenerative disorders such as Parkinsonfs disease (PD) contribute significantly to global disease burden. PD can be categorised into early-onset PD (EOPD) with an age at onset (AAO) of .50 years and late-onset PD (LOPD) with an AAO of >50 years. Aims. To identify factors influencing EOPD and ...

  7. Factors influencing awareness and attendance of traditional oral ...

    African Journals Online (AJOL)

    Background: In order to institute preventive programmes against harmful traditional oral health practices there is a need to identify targets. Objectives: To investigate factors influencing awareness and attendance of traditional oral health practices by residents of a peri-urban community in Ibadan, Nigeria. Methods: A ...

  8. Factors that Influence Women's Technical Skill Development in Outdoor Adventure

    Science.gov (United States)

    Warren, Karen; Loeffler, TA

    2006-01-01

    This article provides a theoretical foundation for understanding women's technical skill development (TSD) in outdoor adventure. An examination of societal and biological factors influencing women's TSD focuses on gender role socialization, sense of competence, technical conditioning, sexism, spatial ability, and risk-taking. The article suggests…

  9. Profiling contextual factors which influence safety in heavy vehicle industries.

    Science.gov (United States)

    Edwards, Jason R D; Davey, Jeremy; Armstrong, Kerry A

    2014-12-01

    A significant proportion of worker fatalities within Australia result from truck-related incidents. Truck drivers face a number of health and safety concerns. Safety culture, viewed here as the beliefs, attitudes and values shared by an organisation's workers, which interact with their surrounding context to influence behaviour, may provide a valuable lens for exploring safety-related behaviours in heavy vehicle operations. To date no major research has examined safety culture within heavy vehicle industries. As safety culture provides a means to interpret experiences and generate behaviour, safety culture research should be conducted with an awareness of the context surrounding safety. The current research sought to examine previous health and safety research regarding heavy vehicle operations to profile contextual factors which influence health and safety. A review of 104 peer-reviewed papers was conducted. Findings of these papers were then thematically analysed. A number of behaviours and scenarios linked with crashes and non-crash injuries were identified, along with a selection of health outcomes. Contextual factors which were found to influence these outcomes were explored. These factors were found to originate from government departments, transport organisations, customers and the road and work environment. The identified factors may provide points of interaction, whereby culture may influence health and safety outcomes. Copyright © 2014. Published by Elsevier Ltd.

  10. The Influence of Psychological and Societal Factors on Student ...

    African Journals Online (AJOL)

    The study examined the influence of psychological and societal factors on students' performance in mathematics at Senior Secondary School Level in. Ilorin metropolis of Kwara state. A simple random sampling technique was used to sample three hundred secondary school students who supplied information on the ...

  11. Modifiable factors influencing relapses and disability in multiple sclerosis

    NARCIS (Netherlands)

    D'hooghe, M. B.; Nagels, G.; Bissay, V.; De Keyser, J.

    A growing body of literature indicates that the natural course of multiple sclerosis can be influenced by a number of factors. Strong evidence suggests that relapses can be triggered by infections, the postpartum period and stressful life events. Vaccinations against influenza, hepatitis B and

  12. Factors influencing condom use among Nigerian undergraduates: A ...

    African Journals Online (AJOL)

    Factors influencing condom use among Nigerian undergraduates: A mixed method study. ... Study design: Both qualitative (focus group discussions) and quantitative (cross-sectional survey) methods were utilised for this study. Subjects: A total of 101 subjects were recruited with age range 18 to 34 years as against 100 ...

  13. The factors influencing safety of archeology monuments in Tuva

    Directory of Open Access Journals (Sweden)

    Demir K. Tulush

    2016-08-01

    Full Text Available Article characterizes situation in preserving the arche-ology monuments in region – the most numerous objects of a cultural heritage in the republic. Modern factors, making the greatest influence on barrows and sites of ancient settlement as the basic types of monu-ments of Tuva are considered.

  14. Distribution, stock, and influencing factors of soil organic carbon in ...

    Indian Academy of Sciences (India)

    40

    Distribution, stock, and influencing factors of soil organic carbon. 1 in an alpine meadow in the hinterland of the Qinghai-Tibetan. 2. Plateau. 3. XUCHAO ZHU1 and MING'AN SHAO2,3,*. 4. 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science,. 5. Chinese Academy of Sciences, 210008, Nanjing, ...

  15. factors influencing vitamin a supplementation among mothers of ...

    African Journals Online (AJOL)

    East African Medical Journal Vol. 89 No. 4 April 2012. FACTORS INFLUENCING VITAMIN A SUPPLEMENTATION AMONG MOTHERS OF CHILDREN UNDER FIVE. YEARS OLD AT MBAGATHI DISTRICT HOSPITAL, KENYA. M. W. Kamau, BSc (Nurs), MSc (Public Health), Lecturer Presbyterian Universityof East Africa, ...

  16. Factors Influencing Student Nurses' Performance in the Final ...

    African Journals Online (AJOL)

    The purpose of this study was to identify leads to factors influencing student nurses' performance in the final year practical examination at Gweru School of Nursing. A descriptive survey was used to collect data from a census of 16 assessors and cluster sample of 35 student nurses. A questionnaire designed for the research ...

  17. Transcriptional factor influence on OTA production and the quelling ...

    African Journals Online (AJOL)

    This study determined the influence of some transcriptional factors on ochratoxin A production as well as investigates the quelling attributes of some designed siRNA on the OTA producing Aspergillus section Nigri using standard recommended techniques. Results obtained following comparison of the pks gene promoter ...

  18. Socio-economic, cultural and livelihood factors influencing local ...

    African Journals Online (AJOL)

    Land ownership patterns and cultivation of seasonal crops were among the major factors that influence water resources as they entail more frequent soil disturbance, inadequate ground cover and increased risks of soil erosion and watershed degradation. Free range and semi – zero grazing system along stream banks is a ...

  19. Investigation and control of factors influencing resistance upset butt welding.

    NARCIS (Netherlands)

    Kerstens, N.F.H.

    2010-01-01

    The purpose of this work is to investigate the factors influencing the resistance upset butt welding process to obtain an understanding of the metal behaviour and welding process characteristics, so that new automotive steels can be welded with reduced development time and fewer failures in

  20. Consumption patterns and demographic factors influence on fruit ...

    African Journals Online (AJOL)

    sugar content of fruit juice classifications. A number of consumption patterns and demographic factors also had an influence on consumer perceptions; hence, increased information should be disseminated to encourage South African consumers to pursue healthy balanced diets. Keywords: consumer perceptions, fruit juice, ...