Factors Related to Social Support in Neurological and Mental Disorders.

Directory of Open Access Journals (Sweden)

Kaloyan Kamenov

Full Text Available Despite the huge body of research on social support, literature has been primarily focused on its beneficial role for both physical and mental health. It is still unclear why people with mental and neurological disorders experience low levels of social support. The main objective of this study was to explore what are the strongest factors related to social support and how do they interact with each other in neuropsychiatric disorders. The study used cross-sectional data from 722 persons suffering from dementia, depression, epilepsy, migraine, multiple sclerosis, Parkinson's disease, schizophrenia, stroke, and substance use disorders. Multiple linear regressions showed that disability was the strongest factor for social support. Extraversion and agreeableness were significant personality variables, but when the interaction terms between personality traits and disability were included, disability remained the only significant variable. Moreover, level of disability mediated the relationship between personality (extraversion and agreeableness and level of social support. Moderation analysis revealed that people that had mental disorders experienced lower levels of support when being highly disabled compared to people with neurological disorders. Unlike previous literature, focused on increasing social support as the origin of improving disability, this study suggested that interventions improving day-to-day functioning or maladaptive personality styles might also have an effect on the way people perceive social support. Future longitudinal research, however, is warranted to explore causality.

Strength analysis of PGV-1000M steam generator support

International Nuclear Information System (INIS)

Dubik, Ya.R.; Ageev, S.M.; Orynyak, I.V.; Vasilchenko, B.M.

2017-01-01

The paper presents the design of PGV-1000M steam generator support. It is shown that the load in the rolling support is distributed extremely unevenly, which is associated with the compliance of the support construction. It is demonstrated that under working loads only several rollers are used, the stresses in which exceed the yield strength. This can be an additional loading factor to be considered in the analysis of welding No. 111 failure.

Simplified piping analysis methods with inelastic supports

International Nuclear Information System (INIS)

Lin, C.W.; Romanko, A.D.

1986-01-01

Energy absorbing supports (EAS) which contain x-shaped plates or dampers with heavy viscous fluid can absorb a large amount of energy during vibratory motions. The response of piping systems supported by these types of energy absorbing devices can be markedly reduced as compared with ordinary supports using rigid rods, hangers or snubbers. In this paper, a simple multiple support response spectrum technique is presented, which would allow the energy dissipation nature of the EAS be factored in the piping response calculation. In the meantime, the effect of lower system frequencies due to the reduced support stiffness from local yielding is also included in the analysis. Numerical results obtained show that this technique is more conservative than the time history solution by an acceptable and realistic margin; and it has less than 10 percent of the computation cost

Assessing Management Support for Worksite Health Promotion: Psychometric Analysis of the Leading by Example (LBE) Instrument

Science.gov (United States)

Della, Lindsay J.; DeJoy, David M.; Goetzel, Ron Z.; Ozminkowski, Ronald J.; Wilson, Mark G.

2009-01-01

Objective This paper describes the development of the Leading by Example (LBE) instrument. Methods Exploratory factor analysis was used to obtain an initial factor structure. Factor validity was evaluated using confirmatory factor analysis methods. Cronbach’s alpha and item-total correlations provided information on the reliability of the factor subscales. Results Four subscales were identified: business alignment with health promotion objectives; awareness of the health-productivity link; worksite support for health promotion; leadership support for health promotion. Factor by group comparisons revealed that the initial factor structure is effective in detecting differences in organizational support for health promotion across different employee groups Conclusions Management support for health promotion can be assessed using the LBE, a brief, self-report questionnaire. Researchers can use the LBE to diagnose, track, and evaluate worksite health promotion programs. PMID:18517097

Seismic structural response analysis for multiple support excitation

International Nuclear Information System (INIS)

Shaw, D.E.

1975-01-01

In the seismic analysis of nuclear power plant equipment such as piping systems situations often arise in which piping systems span between adjacent structures or between different elevations in the same structure. Owing to the differences in the seismic time history response of different structures or different elevations of the same structure, the input support motion will differ for different supports. The concept of a frequency dependent participation factor and rotational response spectra accounting for phase differences between support excitations is developed by using classical equations of motion to formulate the seismic response of a structure subjected to multiple support excitation. The essence of the method lies in describing the seismic excitation of a multiply excited structure in terms of translational and rotational spectra used at every support and a frequency dependent spatial distribution function derived from the phase relationships of the different support time histories. In this manner it is shown that frequency dependent participation factors can be derived from the frequency dependent distribution functions. Examples are shown and discussed relative to closed form solutions and the state-of-the-art techniques presently being used for the solution of problems of multiply excited structures

Factors affecting the HIV/AIDS epidemic: An ecological analysis of ...

African Journals Online (AJOL)

Factors affecting the HIV/AIDS epidemic: An ecological analysis of global data. ... Backward multiple linear regression analysis identified the proportion of Muslims, physicians density, and adolescent fertility rate are as the three most prominent factors linked with the national HIV epidemic. Conclusions: The findings support ...

Relationship of Marital Satisfaction, Family Support and Family-Work Conflict Factors Among Malaysian Fathers with Adolescents

Directory of Open Access Journals (Sweden)

Mahayudin, A.A.

2015-02-01

Full Text Available The study on contextual factors in Malaysian family is more concentrated among mothers compared to the fathers. Malaysian fathers are often influenced by these factors embedded in the family. This study examines the level of contextual factors among fathers of adolescent children. The survey was conducted using a simple sampling method, on a group of 413 fathers with adolescent children from all districts in the state of Selangor, West Peninsular of Malaysia. A set of questionnaires was used to derive data from the fathers̕ contextual factors which are marriage satisfaction, family support and work-family conflict among fathers of adolescents. Analysis on frequency, percentage, mean, standard deviation, t-test, analysis of Variance (ANOVA and the Pearson correlations were used to investigate the level and correlation of contextual factors among fathers of adolescent children. The Pearson correlation shows that there is a significant correlation between work-family conflict and marriage satisfaction and between family support and marriage satisfaction. However, there is no significant correlation between family support and work-family conflict. The study proficiently contributes towards the exploration of influencing factors for the involvement of fathers in parenting.

Analysis Efforts Supporting NSTX Upgrades

International Nuclear Information System (INIS)

Zhang, H.; Titus, P.; Rogoff, P.; Zolfaghari, A.; Mangra, D.; Smith, M.

2010-01-01

The National Spherical Torus Experiment (NSTX) is a low aspect ratio, spherical torus (ST) configuration device which is located at Princeton Plasma Physics Laboratory (PPPL) This device is presently being updated to enhance its physics by doubling the TF field to 1 Tesla and increasing the plasma current to 2 Mega-amperes. The upgrades include a replacement of the centerstack and addition of a second neutral beam. The upgrade analyses have two missions. The first is to support design of new components, principally the centerstack, the second is to qualify existing NSTX components for higher loads, which will increase by a factor of four. Cost efficiency was a design goal for new equipment qualification, and reanalysis of the existing components. Showing that older components can sustain the increased loads has been a challenging effort in which designs had to be developed that would limit loading on weaker components, and would minimize the extent of modifications needed. Two areas representing this effort have been chosen to describe in more details: analysis of the current distribution in the new TF inner legs, and, second, analysis of the out-of-plane support of the existing TF outer legs.

Description of the supporting factors of final project in Mathematics and Natural Sciences Faculty of Syiah Kuala University with multiple correspondence analysis

Science.gov (United States)

Rusyana, Asep; Nurhasanah; Maulizasari

2018-05-01

Syiah Kuala University (Unsyiah) is hoped to have graduates who are qualified for working or creating a field of work. A final project course implementation process must be effective. This research uses data from the evaluation conducted by Mathematics and Natural Sciences Faculty (FMIPA) of Unsyiah. Some of the factors that support the completion of the final project are duration, guidance, the final project seminars, facility, public impact, and quality. This research aims to know the factors that have a relationship with the completion of the final project and identify similarities among variables. The factors that support the completion of the final project at every study program in FMIPA are (1) duration, (2) guidance and (3) facilities. These factors are examined for the correlations by chi-square test. After that, the variables are analyzed with multiple correspondence analysis. Based on the plot of correspondence, the activities of the guidance and facilities in Informatics Study Program are included in the fair category, while the guidance and facilities in the Chemistry are included in the best category. Besides that, students in Physics can finish the final project with the fastest completion duration, while students in Pharmacy finish for the longest time.

Neutron Buildup Factors Calculation for Support Vector Regression Application in Shielding Analysis

International Nuclear Information System (INIS)

Duckic, P.; Matijevic, M.; Grgic, D.

2016-01-01

In this paper initial set of data for neutron buildup factors determination using Support Vector Regression (SVR) method is prepared. The performance of SVR technique strongly depends on the quality of information used for model training. Thus it is very important to provide representable data to the SVR. SVR is a supervised type of learning so it demands data in the input/output form. In the case of neutron buildup factors estimation, the input parameters are the incident neutron energy, shielding thickness and shielding material and the output parameter is the neutron buildup factor value. So far the initial sets of data for different shielding configurations have been obtained using SCALE4.4 sequence SAS3. However, this results were obtained using group constants, thus the incident neutron energy was determined as the average value for each energy group. Obtained this way, the data provided to the SVR are fewer and therefore insufficient. More valuable information is obtained using SCALE6.2beta5 sequence MAVRIC which can perform calculations for the explicit incident neutron energy, which leads to greater maneuvering possibilities when active learning measures are employed, and consequently improves the quality of the developed SVR model.(author).

Sustainable Manufacturing Practices in Malaysian Automotive Industry: Confirmatory Factor Analysis

OpenAIRE

Habidin, Nurul Fadly; Zubir, Anis Fadzlin Mohd; Fuz, Nursyazwani Mohd; Latip, Nor Azrin Md; Azman, Mohamed Nor Azhari

2015-01-01

Sustainable manufacturing practices (SMPs) have received enormous attention in current years as an effective solution to support the continuous growth and expansion of the automotive manufacturing industry. This reported study was conducted to examine confirmatory factor analysis for SMP such as manufacturing process, supply chain management, social responsibility, and environmental management based on automotive manufacturing industry. The results of confirmatory factor analysis show that fo...

An exploration study to find important factors influencing on decision support systems

Directory of Open Access Journals (Sweden)

Naser Azad

2013-09-01

Full Text Available Decision Support Systems (DSSs are computer-based information systems for providing necessary supports for business or organizational decision-making activities. DSSs often serve the management, operations, and planning levels of all organizations and help to make decisions, which may be rapidly changing and not easily achieved in advance. This paper presents an empirical investigation to find important factors influencing DSSs. The proposed study designs a questionnaire in Likert scale consists of 36 questions, distributes it among 213 employees who work for different offices in municipality of Tehran, Iran. Cronbach alpha is calculated as 0.872. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.782 and 1014.521, respectively. Based on the results of our survey, we have derived three factors including system, analysis and transaction.

Environmental and personal factors that support early return-to-work: a qualitative study using the ICF as a framework.

Science.gov (United States)

Hoefsmit, Nicole; Houkes, Inge; Nijhuis, Frans

2014-01-01

Occupational health professionals such as occupational physicians (OPs) increasingly understand that in addition to health improvement, environmental factors (such as work adaptations) and personal factors (such as an employee's attitude towards return-to-work (RTW)) may stimulate employees on sick leave to return to work early. To target their professional interventions more specifically according to these factors, occupational health professionals need further insight into environmental and personal factors that stimulate RTW. The objectives of this study are (1) to identify which and how environmental and personal factors support RTW, and (2) to examine whether the International Classification of Functioning, Disability and Health (ICF) can be used to describe these factors. We performed interviews with 14 employees, 15 employers and 4 OPs from multiple organisations with varying organisational sizes and types of industry such as healthcare and education. We used a qualitative data analysis partially based on the Qualitative Analysis Guide of Leuven. The following environmental factors were found to support early RTW: 'social support from relatives', 'belief that work stimulates health', 'adequate cooperation between stakeholders in RTW' (e.g., employees, employers and OPs) and 'the employers' communicative skills'. One personal factor stimulated RTW: 'positive perception of the working situation' (e.g. enjoyment of work). Most factors stimulated RTW directly. In addition, adequate treatment and social support stimulated medical recovery. Environmental factors can either fully (social support, belief that RTW stimulates health), partially (effective cooperation), or not (employers' communicative skills) be described using ICF codes. The personal factor could not be classified because the ICF does not contain codes for personal factors. RTW interventions should aim at the environmental and personal factors mentioned above. Professionals can use the ICF to

Socioeconomic Factors Affecting Local Support for Black Bear Recovery Strategies

Science.gov (United States)

Morzillo, Anita T.; Mertig, Angela G.; Hollister, Jeffrey W.; Garner, Nathan; Liu, Jianguo

2010-06-01

There is global interest in recovering locally extirpated carnivore species. Successful efforts to recover Louisiana black bear in Louisiana have prompted interest in recovery throughout the species’ historical range. We evaluated support for three potential black bear recovery strategies prior to public release of a black bear conservation and management plan for eastern Texas, United States. Data were collected from 1,006 residents living in proximity to potential recovery locations, particularly Big Thicket National Preserve. In addition to traditional logistic regression analysis, we used conditional probability analysis to statistically and visually evaluate probabilities of public support for potential black bear recovery strategies based on socioeconomic characteristics. Allowing black bears to repopulate the region on their own (i.e., without active reintroduction) was the recovery strategy with the greatest probability of acceptance. Recovery strategy acceptance was influenced by many socioeconomic factors. Older and long-time local residents were most likely to want to exclude black bears from the area. Concern about the problems that black bears may cause was the only variable significantly related to support or non-support across all strategies. Lack of personal knowledge about black bears was the most frequent reason for uncertainty about preferred strategy. In order to reduce local uncertainty about possible recovery strategies, we suggest that wildlife managers focus outreach efforts on providing local residents with general information about black bears, as well as information pertinent to minimizing the potential for human-black bear conflict.

Emergence of Yalom's therapeutic factors in a peer-led, asynchronous, online support group for family caregivers.

Science.gov (United States)

Diefenbeck, Cynthia A; Klemm, Paula R; Hayes, Evelyn R

2014-01-01

Support groups fill a critical void in the health care system, harnessing the power of shared experiences to provide support to group members. Likewise, family caregivers fill a void in the health care system, providing billions in unpaid care to the chronically ill. Caregiver support groups offer an opportunity for alleviating the psychological burden of caregiving. The power of any group, including a support group, to foster psychological well-being lies in its ability to cultivate Yalom's therapeutic factors. Gaps in the literature remain regarding the ability of non-prototypical groups to promote therapeutic mechanisms of change. The purpose of this study was to determine if and when Yalom's therapeutic group factors emerged in a peer-led support group delivered in an asynchronous, online format. Qualitative content analysis utilizing deductive category application was employed. Participants' responses were coded and frequency counts were conducted. Results revealed that 9 of 11 therapeutic factors emerged over the course of the group, with Group Cohesiveness, Catharsis, Imparting of Information, and Universality occurring most often. Several factors, including Interpersonal Learning, Corrective Recapitulation of the Primary Family Group, Imitative Behavior, and Development of Socializing Techniques were absent or virtually absent, likely due to the peer-led format of the group. Progression of therapeutic factors over the course of the group is presented. Findings demonstrate the presence of a variety of Yalom's therapeutic factors in an asynchronous, peer-led online support group.

A meta-analysis of work-family conflict and social support.

Science.gov (United States)

French, Kimberly A; Dumani, Soner; Allen, Tammy D; Shockley, Kristen M

2018-03-01

The relationship between social support and work-family conflict is well-established, but the notion that different forms, sources, and types of social support as well as contextual factors can alter this relationship has been relatively neglected. To address this limitation, the current study provides the most comprehensive and in-depth examination of the relationship between social support and work-family conflict to date. We conduct a meta-analysis based on 1021 effect sizes and 46 countries to dissect the social support and work-family conflict relationship. Using social support theory as a theoretical framework, we challenge the assumption that social support measures are interchangeable by comparing work/family support relationships with work-family conflict across different support forms (behavior, perceptions), sources (e.g., supervisor, coworker, spouse), types (instrumental, emotional), and national contexts (cultural values, economic factors). National context hypotheses use a strong inferences paradigm in which utility and value congruence theoretical perspectives are pitted against one another. Significant results concerning support source are in line with social support theory, indicating that broad sources of support are more strongly related to work-family conflict than are specific sources of support. In line with utility perspective from social support theory, culture and economic national context significantly moderate some of the relationships between work/family support and work interference with family, indicating that social support is most beneficial in contexts in which it is needed or perceived as useful. The results suggest that organizational support may be the most important source of support overall. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Human Factors Virtual Analysis Techniques for NASA's Space Launch System Ground Support using MSFC's Virtual Environments Lab (VEL)

Science.gov (United States)

Searcy, Brittani

2017-01-01

Using virtual environments to assess complex large scale human tasks provides timely and cost effective results to evaluate designs and to reduce operational risks during assembly and integration of the Space Launch System (SLS). NASA's Marshall Space Flight Center (MSFC) uses a suite of tools to conduct integrated virtual analysis during the design phase of the SLS Program. Siemens Jack is a simulation tool that allows engineers to analyze human interaction with CAD designs by placing a digital human model into the environment to test different scenarios and assess the design's compliance to human factors requirements. Engineers at MSFC are using Jack in conjunction with motion capture and virtual reality systems in MSFC's Virtual Environments Lab (VEL). The VEL provides additional capability beyond standalone Jack to record and analyze a person performing a planned task to assemble the SLS at Kennedy Space Center (KSC). The VEL integrates Vicon Blade motion capture system, Siemens Jack, Oculus Rift, and other virtual tools to perform human factors assessments. By using motion capture and virtual reality, a more accurate breakdown and understanding of how an operator will perform a task can be gained. By virtual analysis, engineers are able to determine if a specific task is capable of being safely performed by both a 5% (approx. 5ft) female and a 95% (approx. 6'1) male. In addition, the analysis will help identify any tools or other accommodations that may to help complete the task. These assessments are critical for the safety of ground support engineers and keeping launch operations on schedule. Motion capture allows engineers to save and examine human movements on a frame by frame basis, while virtual reality gives the actor (person performing a task in the VEL) an immersive view of the task environment. This presentation will discuss the need of human factors for SLS and the benefits of analyzing tasks in NASA MSFC's VEL.

Foundations of factor analysis

CERN Document Server

Mulaik, Stanley A

2009-01-01

Introduction Factor Analysis and Structural Theories Brief History of Factor Analysis as a Linear Model Example of Factor AnalysisMathematical Foundations for Factor Analysis Introduction Scalar AlgebraVectorsMatrix AlgebraDeterminants Treatment of Variables as Vectors Maxima and Minima of FunctionsComposite Variables and Linear Transformations Introduction Composite Variables Unweighted Composite VariablesDifferentially Weighted Composites Matrix EquationsMulti

Implementing complex innovations: factors influencing middle manager support.

Science.gov (United States)

Chuang, Emmeline; Jason, Kendra; Morgan, Jennifer Craft

2011-01-01

Middle manager resistance is often described as a major challenge for upper-level administrators seeking to implement complex innovations such as evidence-based protocols or new skills training. However, factors influencing middle manager support for innovation implementation are currently understudied in the U.S. health care literature. This article examined the factors that influence middle managers' support for and participation in the implementation of work-based learning, a complex innovation adopted by health care organizations to improve the jobs, educational pathways, skills, and/or credentials of their frontline workers. We conducted semistructured interviews and focus groups with 92 middle managers in 17 health care organizations. Questions focused on understanding middle managers' support for work-based learning as a complex innovation, facilitators and barriers to the implementation process, and the systems changes needed to support the implementation of this innovation. Factors that emerged as influential to middle manager support were similar to those found in broader models of innovation implementation within the health care literature. However, our findings extend previous research by developing an understanding about how middle managers perceived these constructs and by identifying specific strategies for how to influence middle manager support for the innovation implementation process. These findings were generally consistent across different types of health care organizations. Study findings suggest that middle manager support was highest when managers felt the innovation fit their workplace needs and priorities and when they had more discretion and control over how it was implemented. Leaders seeking to implement innovations should consider the interplay between middle managers' control and discretion, their narrow focus on the performance of their own departments or units, and the dedication of staff and other resources for empowering their

Canonical correlation analysis of professional stress,social support,and professional burnout among low-rank army officers

Directory of Open Access Journals (Sweden)

Chuan-yun LI

2011-12-01

Full Text Available Objective The present study investigates the influence of professional stress and social support on professional burnout among low-rank army officers.Methods The professional stress,social support,and professional burnout scales among low-rank army officers were used as test tools.Moreover,the officers of established units(battalion,company,and platoon were chosen as test subjects.Out of the 260 scales sent,226 effective scales were received.The descriptive statistic and canonical correlation analysis models were used to analyze the influence of each variable.Results The scores of low-rank army officers in the professional stress,social support,and professional burnout scales were more than average,except on two factors,namely,interpersonal support and de-individualization.The canonical analysis identified three groups of canonical correlation factors,of which two were up to a significant level(P < 0.001.After further eliminating the social support variable,the canonical correlation analysis of professional stress and burnout showed that the canonical correlation coefficients P corresponding to 1 and 2 were 0.62 and 0.36,respectively,and were up to a very significant level(P < 0.001.Conclusion The low-rank army officers experience higher professional stress and burnout levels,showing a lower sense of accomplishment,emotional exhaustion,and more serious depersonalization.However,social support can reduce the onset and seriousness of professional burnout among these officers by lessening pressure factors,such as career development,work features,salary conditions,and other personal factors.

A study on the load distribution factor in the perforated square plate with elastic support

International Nuclear Information System (INIS)

Lee, Y.S.; Yim, J.S.

1993-01-01

The load distribution factor in the perforated square plate supporting by angle shape legs under concentrated load acting at arbitrary points through elastic media is calculated. For the calculation the perforated plate was converted into an orthotropic plate using the method suggested by J.B. Mahoney. The deflection for the calculation of the load distribution factor was obtained from the auxiliary plate which was extended both sides of the plate and it was compared with the results from ANSYS calculation. With this deflection, the calculation of the load distribution factor was performed. The result shows that the load distribution factor at the periphery of the plate is larger than that of in the central location. This load distribution factor could be used for re-distribution of the applied load in more accurate analysis of the plate as well as in the analysis of the elastic media as the load factor. (author)

The correlation of social support with mental health: A meta-analysis.

Science.gov (United States)

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-09-01

Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included "mental health or general health," and "Iran" and "social support." In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students.

Assessing diabetes support in adolescents: factor structure of the Modified Diabetes Social Support Questionnaire (M-DSSQ-Family)

NARCIS (Netherlands)

Malik, J.A.; Koot, H.M.

2011-01-01

Objectives: To determine the underlying factor structure of diabetes specific support using a modified diabetes family social support questionnaire, the M-DSSQ-Family, in one half of a sample of adolescents with type 1 diabetes, confirm it in the second half, test invariance in factor structure

Factors Supporting Implementation among CDSMP Organizations.

Science.gov (United States)

Paone, Deborah

2014-01-01

Reaching individuals who can benefit from evidence-based health promotion and disability prevention programs is a goal of federal, state, and local agencies as well as researchers, providers, community agencies, and other stakeholders. Implementation effectiveness at the organizational level must be achieved in order to reach these individuals and sustain the program. This mixed methods study examined eight organizations within two states that successfully implemented the Chronic Disease Self-Management Program (CDSMP) and sustained it from 4 to 10 years. There were two types of organizations: aging services and health care. Internal and external implementation factors and influences were explored. Additional examination of state activities (as a key external agent supporting CDSMP implementation) was conducted. The examination found agreement among the eight organizations regarding why they had adopted the CDSMP - citing the alignment between the program and their organizations' mission and purpose to improve health status and promote better self-care, and the demonstrated value (benefits) of the program. Organizations were also alike in that they described the importance of an internal champion and supportive senior leader. Organizations differed in how they experienced and valued peer support and collaborative networks. Organizations also differed in how they filled their CDSMP workshops. Internal drivers and capability were more often discussed as facilitating successful implementation than external factors. However, state activities and external support enabled successful adoption - particularly funding and training. The primary challenges identified by this set of organizations included difficulty in recruiting participants (filling workshops) and irregular or insufficient funding sources. These challenges were identified as significant and represented barriers to sustaining the program.

Factors Supporting Implementation among CDSMP Organizations

Science.gov (United States)

Paone, Deborah

2015-01-01

Reaching individuals who can benefit from evidence-based health promotion and disability prevention programs is a goal of federal, state, and local agencies as well as researchers, providers, community agencies, and other stakeholders. Implementation effectiveness at the organizational level must be achieved in order to reach these individuals and sustain the program. This mixed methods study examined eight organizations within two states that successfully implemented the Chronic Disease Self-Management Program (CDSMP) and sustained it from 4 to 10 years. There were two types of organizations: aging services and health care. Internal and external implementation factors and influences were explored. Additional examination of state activities (as a key external agent supporting CDSMP implementation) was conducted. The examination found agreement among the eight organizations regarding why they had adopted the CDSMP – citing the alignment between the program and their organizations’ mission and purpose to improve health status and promote better self-care, and the demonstrated value (benefits) of the program. Organizations were also alike in that they described the importance of an internal champion and supportive senior leader. Organizations differed in how they experienced and valued peer support and collaborative networks. Organizations also differed in how they filled their CDSMP workshops. Internal drivers and capability were more often discussed as facilitating successful implementation than external factors. However, state activities and external support enabled successful adoption – particularly funding and training. The primary challenges identified by this set of organizations included difficulty in recruiting participants (filling workshops) and irregular or insufficient funding sources. These challenges were identified as significant and represented barriers to sustaining the program. PMID:25964928

Confirmatory factor analysis of posttraumatic stress symptoms in sexually harassed women.

Science.gov (United States)

Palmieri, Patrick A; Fitzgerald, Louise F

2005-12-01

Posttraumatic stress disorder (PTSD) factor analytic research to date has not provided a clear consensus on the structure of posttraumatic stress symptoms. Seven hypothesized factor structures were evaluated using confirmatory factor analysis of the Posttraumatic Stress Disorder Checklist, a paper-and-pencil measure of posttraumatic stress symptom severity, in a sample of 1,218 women who experienced a broad range of workplace sexual harassment. The model specifying correlated re-experiencing, effortful avoidance, emotional numbing, and hyperarousal factors provided the best fit to the data. Virtually no support was obtained for the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV; American Psychiatric Association, 1994) three-factor model of re-experiencing, avoidance, and hyperarousal factors. Different patterns of correlations with external variables were found for the avoidance and emotional numbing factors, providing further validation of the supported model.

The correlation of social support with mental health: A meta-analysis

Science.gov (United States)

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-01-01

Background and aim Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. Methods This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included “mental health or general health,” and “Iran” and “social support.” In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. Results The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Conclusion Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students. PMID:29038699

A factor analysis of the Kirton Adaption-Innovation Inventory using an alcoholic population.

Science.gov (United States)

Robertson, E D; Fournet, G P; Zelhart, P F; Estes, R E

1988-04-01

The present study reports a factor analysis of the Kirton Adaption-Innovation Inventory using 103 alcoholic men. Kirton in 1976 and we in an unpublished work in 1986 noted identical factor structures when responses from nonalcoholic populations to the inventory were factor analyzed. Recent reviews regarding personality characteristics of alcoholics suggest characteristics similar to the adaption-innovation concepts of Kirton. This factor analysis for an alcoholic sample supports the validity of the inventory as a measure of problem-solving style of alcoholics.

Factor analysis of the Mayo-Portland Adaptability Inventory: structure and validity.

Science.gov (United States)

Bohac, D L; Malec, J F; Moessner, A M

1997-07-01

Principal-components (PC) factor analysis of the Mayo-Portland Adaptability Inventory (MPAI) was conducted using a sample of outpatients (n = 189) with acquired brain injury (ABI) to evaluate whether outcome after ABI is multifactorial or unifactorial in nature. An eight-factor model was derived which explained 64-4% of the total variance. The eight factors were interpreted as representing Activities of Daily Living, Social Initiation, Cognition, Impaired-Self-awareness/Distress, Social Skills/ Support, Independence, Visuoperceptual, and Psychiatric, respectively. Validation of the Cognition factor was supported when factor scores were correlated with various neuropsychological measures. In addition, 117 patient self-rating total scores were used to evaluate the Impaired Self-awareness/Distress factor. An inverse relationship was observed, supporting this factor's ability to capture the two-dimensional phenomena of diminished self-awareness or enhanced emotional distress. A new subscale structure is suggested, that may allow greater clinical utility in understanding how ABI manifests in patients, and may provide clinicians with a better structure for implementing treatment strategies to address specific areas of impairment and disability for specific patients. Additionally, more precise measurement of treatment outcomes may be afforded by this reorganization.

The predictive factors for perceived social support among cancer patients and caregiver burden of their family caregivers in Turkish population.

Science.gov (United States)

Oven Ustaalioglu, Basak; Acar, Ezgi; Caliskan, Mecit

2018-03-01

We aimed to identify the predictive factors for the perceived family social support among cancer patients and caregiver burden of their family caregivers. Participants were 302 cancer patients and their family caregivers. Family social support scale was used for cancer patients, burden interview was used for family caregivers.All subjects also completed Beck depression invantery. The related socio-demographical factors with perceived social support (PSS) and caregiver burden were evaluated by correlation analysis. To find independent factors predicting caregiver burden and PSS, logistic regression analysis were conducted. Depression scores was higher among patients than their family caregivers (12.5 vs. 8). PSS was lower in depressed patients (p Family caregiver burden were also higher in depressive groups (p family caregiver role was negatively correlated (p caregiver burden. Presence of depression was the independent predictor for both, lower PSS for patients and higher burden for caregivers. The results of this study is noteworthy because it may help for planning any supportive care program not only for patients but together with their caregiver at the same time during chemotherapy period in Turkish population.

Simulation of dynamics behaviors for shipping equipment support with system dynamics analysis approach

Directory of Open Access Journals (Sweden)

Yang Song

2015-05-01

Full Text Available Purpose: The exactly and precisely supply of carrying spare parts has a crucial impact on support and could improve the performance of equipment. Spare parts support is the crux work which will be limited by spare parts allocation and support cost input. Reasonable support strategy can help in making good use of available resources and support the equipment in normal operational status. The purpose of this paper is to propose a dynamics model of spare parts support process based on considering the interaction of multiple factors, and explores the regulation of dynamics behavior in the system. In order to achieve the optimization strategy to improve the effect of support so that will enhance the relevant support parameters of equipment. Design/methodology/approach: Meditate the feedback relationship among some important factors of support that involve support cost, support time and maintenance ability. System dynamics theory is adopted to propose a dynamics model of spare parts support process, on the analysis of multiple factors and casual relationship to find some major ones which have crucial impact on spare parts support. Spare parts support cost and availability was regarded as the control objective, moreover, adjust the control paramours and improve the effect of cannibalization and lateral supply scheduling strategy for spares support. Findings: The factors of spare parts supply, demand and maintenance have relationship of control feedback, and adjust the value of some crucial factors can reduce the support cost and improve the availability value. The main finding is that adopting cannibalization strategy under condition of available materials can relieve the mission and operational availability decline caused by shortage of spare parts. Combining the lateral supply and cannibalization strategy can reduce the inventory of warship carrying spare parts. Practical implications: By controlling the value of key factors regarding aspect of spare

Analysis of factors that influencing the interest of Bali State Polytechnic’s students in entrepreneurship

Science.gov (United States)

Ayuni, N. W. D.; Sari, I. G. A. M. K. K.

2018-01-01

The high rate of unemployment results the economic growth to be hampered. To solve this situation, the government try to change the students’ mindset from becoming a job seeker to become a job creator or entrepreneur. One real action that usually been held in Bali State Polytechnic is Student Entrepreneurial Program. The purpose of this research is to identify and analyze the factors that influence the interest of Bali State Polytechnic’s Students in entrepreneurship, especially in the Entrepreneurial Student Program. Method used in this research is Factor Analysis including Bartlett Test, Kaiser-Mayer Olkin (KMO), Measure of Sampling Adequacy (MSA), factor extraction using Principal Component Analysis (PCA), factor selection using eigen value and scree plot, and factor rotation using orthogonal rotation varimax. Result shows that there are four factors that influencing the interest of Bali State Polytechnic’s Students in Entrepreneurship which are Contextual Factor (including Entrepreneurship Training, Academic Support, Perceived Confidence, and Economic Challenge), Self Efficacy Factor (including Leadership, Mental Maturity, Relation with Entrepreneur, and Authority), Subjective Norm Factor (including Support of Important Relative, Support of Friends, and Family Role), and Attitude Factor (including Self Realization).

Nominal Performance Biosphere Dose Conversion Factor Analysis

Energy Technology Data Exchange (ETDEWEB)

M.A. Wasiolek

2003-07-25

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports (BSC 2003 [DIRS 160964]; BSC 2003 [DIRS 160965]; BSC 2003 [DIRS 160976]; BSC 2003 [DIRS 161239]; BSC 2003 [DIRS 161241]) contain detailed description of the model input parameters. This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs and conversion factors for the TSPA. The BDCFs will be used in performance assessment for calculating annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from beta- and photon-emitting radionuclides.

Confirmatory Factor Analysis of the Delirium Rating Scale Revised-98 (DRS-R98).

Science.gov (United States)

Thurber, Steven; Kishi, Yasuhiro; Trzepacz, Paula T; Franco, Jose G; Meagher, David J; Lee, Yanghyun; Kim, Jeong-Lan; Furlanetto, Leticia M; Negreiros, Daniel; Huang, Ming-Chyi; Chen, Chun-Hsin; Kean, Jacob; Leonard, Maeve

2015-01-01

Principal components analysis applied to the Delirium Rating Scale-Revised-98 contributes to understanding the delirium construct. Using a multisite pooled international delirium database, the authors applied confirmatory factor analysis to Delirium Rating Scale-Revised-98 scores from 859 adult patients evaluated by delirium experts (delirium, N=516; nondelirium, N=343). Confirmatory factor analysis found all diagnostic features and core symptoms (cognitive, language, thought process, sleep-wake cycle, motor retardation), except motor agitation, loaded onto factor 1. Motor agitation loaded onto factor 2 with noncore symptoms (delusions, affective lability, and perceptual disturbances). Factor 1 loading supports delirium as a single construct, but when accompanied by psychosis, motor agitation's role may not be solely as a circadian activity indicator.

Immune suppressor factor confers stromal cell line with enhanced supporting activity for hematopoietic stem cells

International Nuclear Information System (INIS)

Nakajima, Hideaki; Shibata, Fumi; Fukuchi, Yumi; Goto-Koshino, Yuko; Ito, Miyuki; Urano, Atsushi; Nakahata, Tatsutoshi; Aburatani, Hiroyuki; Kitamura, Toshio

2006-01-01

Immune suppressor factor (ISF) is a subunit of the vacuolar ATPase proton pump. We earlier identified a short form of ISF (ShIF) as a stroma-derived factor that supports cytokine-independent growth of mutant Ba/F3 cells. Here, we report that ISF/ShIF supports self-renewal and expansion of primary hematopoietic stem cells (HSCs). Co-culture of murine bone marrow cells with a stromal cell line overexpressing ISF or ShIF (MS10/ISF or MS10/ShIF) not only enhanced their colony-forming activity and the numbers of long-term culture initiating cells, but also maintained the competitive repopulating activity of HSC. This stem cell supporting activity depended on the proton-transfer function of ISF/ShIF. Gene expression analysis of ISF/ShIF-transfected cell lines revealed down-regulation of secreted frizzled-related protein-1 and tissue inhibitor of metalloproteinase-3, and the restoration of their expressions in MS10/ISF cells partially reversed its enhanced LTC-IC supporting activity to a normal level. These results suggest that ISF/ShIF confers stromal cells with enhanced supporting activities for HSCs by modulating Wnt-activity and the extracellular matrix

BUSTED BUTTE TEST FACILITY GROUND SUPPORT CONFIRMATION ANALYSIS

International Nuclear Information System (INIS)

Bonabian, S.

1998-01-01

The main purpose and objective of this analysis is to confirm the validity of the ground support design for Busted Butte Test Facility (BBTF). The highwall stability and adequacy of highwall and tunnel ground support is addressed in this analysis. The design of the BBTF including the ground support system was performed in a separate document (Reference 5.3). Both in situ and seismic loads are considered in the evaluation of the highwall and the tunnel ground support system. In this analysis only the ground support designed in Reference 5.3 is addressed. The additional ground support installed (still work in progress) by the constructor is not addressed in this analysis. This additional ground support was evaluated by the A/E during a site visit and its findings and recommendations are addressed in this analysis

Analysis of Key Factors Driving Japan’s Military Normalization

Science.gov (United States)

2017-09-01

no change to our policy of not giving in to terrorism.”40 Though the prime minister was democratically supported, Koizumi’s leadership style took...of the key driving factors of Japan’s normalization. The areas of prime ministerial leadership , regional security threats, alliance issues, and...analysis of the key driving factors of Japan’s normalization. The areas of prime ministerial leadership , regional security threats, alliance issues, and

Factors associated with integrating self-management support into primary care.

Science.gov (United States)

Crespo, Richard; Shrewsberry, Molly

2007-06-01

The purpose of this article is to expand the understanding of self-management support by describing factors that contribute to implementing a comprehensive self-management program in primary care. Four rural health centers in medically underserved areas participated in a study to document the implementation of a self-management program. This program consisted of a social marketing plan and decision-making tools to guide patients in making self-management behavior changes. The stages of change constructs of the transtheoretical model were used to design the social marketing plan. Key informant interviews were conducted at 6-month and 9-month intervals to document the implementation process. A standardized set of questions was used in the interviews. The data from the interviews were analyzed using content analysis techniques. One of the principle findings is that self-management support requires putting a system in place, not just adding a new component to primary care. The health centers that fully implemented the self-management program made an organizational commitment to keep self-management on the agenda in management meetings, clinical staff set the example by adopting self-management behaviors, and patient self-management support was implemented in multiple patient care venues. Primary care centers with limited financial resources are able to integrate self-management support into their system of chronic illness care.

Design analysis of liquid metal pipe supports

International Nuclear Information System (INIS)

Margolin, L.L.; LaSalle, F.R.

1979-02-01

Design guidelines pertinent to liquid metal pipe supports are presented. The numerous complex conditions affecting the support stiffness and strength are addressed in detail. Topics covered include modeling of supports for natural frequency and stiffness calculations, support hardware components, formulas for deflection due to torsion, plate bending, and out-of-plane flexibility. A sample analysis and a discussion on stress analysis of supports are included. Also presented are recommendations for design improvements for increasing the stiffness of pipe supports and which were utilized in the FFTF system

Confirmatory Factor Analysis of the WISC-IV in a Hospital Referral Sample

Science.gov (United States)

Devena, Sarah E.; Gay, Catherine E.; Watkins, Marley W.

2013-01-01

Confirmatory factor analysis was used to determine the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) scores of 297 children referred to a children's hospital in the Southwestern United States. Results support previous findings that indicate the WISC-IV is best represented by a direct hierarchical…

Intrapersonal, interpersonal, and contextual risk factors for overprovision of partner support in marriage.

Science.gov (United States)

Brock, Rebecca L; Lawrence, Erika

2014-02-01

Recent research indicates that receiving too much support from one's spouse (i.e., overprovision of support) is actually more detrimental to marriage than not receiving enough support. The principal goal of the present study was to develop a novel framework for explaining the pathways through which couples experience overprovision of support in their marriages. Intrapersonal factors (anxious and avoidant attachment), interpersonal factors (conflict management and emotional intimacy), and contextual factors (stress originating outside of the marriage) were assessed during the transition into marriage as potential risk factors for experiencing higher levels of support overprovision during the first 5 years of marriage in a sample of 103 couples using growth curve analytic techniques. To the extent that (a) husbands were higher in avoidant attachment, (b) husbands reported greater chronic role strain, and (c) couples had lower levels of emotional intimacy, support overprovision was greater for both husbands and wives. In addition, emotional intimacy (lower levels) was a partial pathway through which husband avoidant attachment contributed to support overprovision. Finally, factors placing couples at risk for support overprovision in their marriages appear to be distinct from those increasing the risk for support underprovision. The potential for results to inform contemporary marital theories and marital preparation programs is discussed.

FEASIBILITY ANALYSIS OF NAVAL BASE RELOCATION USING SWOT AND AHP METHOD TO SUPPORT MAIN DUTIES OPERATION

Directory of Open Access Journals (Sweden)

Putu Yogi

2017-11-01

Full Text Available Naval Base as part of Integrated Fleet Weapon System has an important role in maintaining the strategic environment in the region of Indonesia. Naval Base with a strategic location will support Indonesian Navy’s main duty to carry out the administrative and logistical support. Due to the limitation of Naval Base’s condition, feasibility study will be required to relocate the Naval Base. In this feasibility study, a combination of methods between SWOT analysis and Analytical Hierarchy Process (AHP is used. The results of the Internal Factors Evaluation (IFE Matrix Analysis is 4.72 and External Factors Evaluation (EFE Matrix Analysis is 2.91. In general, the balance of power between the IFE Matrix and EFE Matrix is located in Quadrants I and thus, the Aggressive Strategy is supported. While the Matrix Analysis’ result of Internal - External (IE showed that the score of IFE and EFE located in Quadrant II and VII.

Organizational Support in Online Learning Environments: Examination of Support Factors in Corporate Online Learning Implementation

Science.gov (United States)

Schultz, Thomas L.; Correia, Ana-Paula

2015-01-01

This article explores the role of different types of support in corporate online learning programs. Most research has not specifically focused on all of the support factors required to provide a corporate online learning program, although many research studies address several in regards to the research outcome. An effort was made in this article…

The Support System in Distance Education:Factors Affecting Achievements Among Women Learners

Directory of Open Access Journals (Sweden)

Rozhan M IDRUS

2005-10-01

Full Text Available The Support System in Distance Education:Factors Affecting Achievements Among Women Learners Hanafi ATAN Zuraidah A. RAHMAN Omar MAJID Noraida A. GHANIRozhan M IDRUS School of Distance EducationUniversiti Sains Malaysia11800 Penang, MALAYSIA ABSTRACT Distance education has the potential to contribute to the enhancement of women’s development by overcoming not only temporal and spatial barriers but familial commitments as well. It brings education to their home and allows women to learn at their individual pace, seek skills for individual development and at the same time, enables them to fulfill family responsibilities. An important element of distance education is the provision of the learner support system that provides students the access to learning resources and means of communication that would facilitate the array of educational activities and exposure to various other guidance and advisories. This paper reports on the study undertaken to elucidate the dimensions of the support system provided by the School of Distance Education (SDE, Universiti Sains Malaysia (USM to its women learners that would have significant impact on their achievements. The factorial analysis conducted revealed that the role of the faculty is the main contributing factor affecting these achievements, followed by the provision of the intensive course, the electronic portal, video conferencing and to a much lesser extent, the existence of the regional centres. The implications of this study are discussed with the view of improving the support system provided by the institution and the need to put into action the necessary strategies to further improve the achievement of the women learners.

Factoring - financial instrument supporting the current activity of an enterprise

Directory of Open Access Journals (Sweden)

Dorota Czerwińska-Kayzer

2009-01-01

Full Text Available Small and medium enterprises have a difficult access to classic financial sources. Therefore the factoring could be a financial instrument supporting effective management of the liabilities. Factoring improves the financial situation of a company, first of all financial liquidity. Moreover, factoring improves structure of financial statement and creates a possibility of risk transfer of debtor insolvency on factor.

Assessing diabetes support in adolescents: factor structure of the modified Diabetes Social Support Questionnaire (DSSQ-Friends)

NARCIS (Netherlands)

Malik, J.A.; Koot, H.M.

2012-01-01

Aims To determine the underlying factor structure of friends' enacted support behaviours for adolescents with Type 1 diabetes, confirm it in a second sample, delineate distinctive aspects of friends' support and test the reliability of resulting scale. Methods The study included a total of 434

Nominal Performance Biosphere Dose Conversion Factor Analysis

International Nuclear Information System (INIS)

M.A. Wasiolek

2005-01-01

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objectives of this analysis are to develop BDCFs for the

Confirmatory factor analysis of the female sexual function index.

Science.gov (United States)

Opperman, Emily A; Benson, Lindsay E; Milhausen, Robin R

2013-01-01

The Female Sexual Functioning Index (Rosen et al., 2000 ) was designed to assess the key dimensions of female sexual functioning using six domains: desire, arousal, lubrication, orgasm, satisfaction, and pain. A full-scale score was proposed to represent women's overall sexual function. The fifth revision to the Diagnostic and Statistical Manual (DSM) is currently underway and includes a proposal to combine desire and arousal problems. The objective of this article was to evaluate and compare four models of the Female Sexual Functioning Index: (a) single-factor model, (b) six-factor model, (c) second-order factor model, and (4) five-factor model combining the desire and arousal subscales. Cross-sectional and observational data from 85 women were used to conduct a confirmatory factor analysis on the Female Sexual Functioning Index. Local and global goodness-of-fit measures, the chi-square test of differences, squared multiple correlations, and regression weights were used. The single-factor model fit was not acceptable. The original six-factor model was confirmed, and good model fit was found for the second-order and five-factor models. Delta chi-square tests of differences supported best fit for the six-factor model validating usage of the six domains. However, when revisions are made to the DSM-5, the Female Sexual Functioning Index can adapt to reflect these changes and remain a valid assessment tool for women's sexual functioning, as the five-factor structure was also supported.

Determining the Number of Factors in P-Technique Factor Analysis

Science.gov (United States)

Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael

2017-01-01

Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…

A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis

Directory of Open Access Journals (Sweden)

An Gie Yong

2013-10-01

Full Text Available The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.

Biosphere dose conversion Factor Importance and Sensitivity Analysis

International Nuclear Information System (INIS)

M. Wasiolek

2004-01-01

This report presents importance and sensitivity analysis for the environmental radiation model for Yucca Mountain, Nevada (ERMYN). ERMYN is a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis concerns the output of the model, biosphere dose conversion factors (BDCFs) for the groundwater, and the volcanic ash exposure scenarios. It identifies important processes and parameters that influence the BDCF values and distributions, enhances understanding of the relative importance of the physical and environmental processes on the outcome of the biosphere model, includes a detailed pathway analysis for key radionuclides, and evaluates the appropriateness of selected parameter values that are not site-specific or have large uncertainty

Attitudinal Factors and Personal Characteristics Influence Support for Shellfish Aquaculture in Rhode Island (US) Coastal Waters.

Science.gov (United States)

Dalton, Tracey M; Jin, Di

2018-05-01

This study explores public interests associated with shellfish aquaculture development in coastal waters of Rhode Island (US). Specifically, we examine (1) the levels of public support for (or opposition to) shellfish aquaculture development and (2) factors driving the levels of support, using survey data and ordinal logistic regressions. Results of the analysis identify several key attitudinal factors affecting individual's support for shellfish aquaculture in Rhode Island (RI). The level of support is positively associated with attitudes related to shellfish aquaculture's benefits to the local economy and its role as a nutritional food option, and negatively influenced by attitudes related to aquaculture farms' effects on aesthetic quality and their interference with other uses. Findings highlight that support for (or opposition to) aquaculture in RI is driven more by attitudes associated with social impacts than by those associated with environmental impacts. The level of support is also affected by personal characteristics related to an individual's participation in recreational activities. For instance, bicycle riders tend to be supportive of shellfish aquaculture while respondents who participate in sailing and birding are less supportive. By identifying the broader public's interests in shellfish aquaculture, findings from this study and others like it can be used to address public concerns, incorporate public perceptions and attitudes into permitting decisions, and develop outreach targeted at specific stakeholder groups.

A confirmatory factor analysis of the Utrecht Work Engagement Scale for Students in a Chinese sample.

Science.gov (United States)

Meng, Lina; Jin, Yi

2017-02-01

Educational institutions play an important role in encouraging students' engagement with course work. Educators are finding instruments to measure students' engagement in order to develop strategies to improve it. Little is known about the factor structure of the Utrecht Work Engagement Scale for Students among Chinese nursing students. The aim of this research was to examine the factor structure of the Utrecht Work Engagement Scale for Students via confirmatory factor analysis. The study used a cross-sectional design. A sample of 480 students from a nursing school in one Chinese university completed the Utrecht Work Engagement Scale for Students. Factor analysis was used to analyze the resulting data. The overall results of internal consistency reliability and confirmatory factor analysis provided evidence supporting the reliability and three-factor structure of the Utrecht Work Engagement Scale for Students. The total internal consistency reliability coefficients were 0.91. Model comparison tests indicated that an oblique factors model that permitted correlations between pairs of error terms fitted the data better than other first-order models. In addition, due to the three strongly intercorrelated factors, a second-order model was found to fit the data well, providing support for the factorial structure of the Utrecht Work Engagement Scale for Students. The findings of confirmatory factor analysis provided evidence supporting the reliability and three-factor structure of the Utrecht Work Engagement Scale for Students when evaluated with a Chinese nursing student sample in this study. Thus, it is appropriate to use The Utrecht Work Engagement Scale for Students in for assessing the engagement among Chinese nursing students. Copyright © 2016 Elsevier Ltd. All rights reserved.

Spool assembly support analysis

International Nuclear Information System (INIS)

Norman, B.F.

1994-01-01

This document provides the wind/seismic analysis and evaluation for the pump pit spool assemblies. Hand calculations were used for the analysis. UBC, AISC, and load factors were used in this evaluation. The results show that the actual loads are under the allowable loads and all requirements are met

Nominal Performance Biosphere Dose Conversion Factor Analysis

Energy Technology Data Exchange (ETDEWEB)

M. Wasiolek

2004-09-08

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle

Nominal Performance Biosphere Dose Conversion Factor Analysis

International Nuclear Information System (INIS)

M. Wasiolek

2004-01-01

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose

An easy guide to factor analysis

CERN Document Server

Kline, Paul

2014-01-01

Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, a

Human factors review for Severe Accident Sequence Analysis (SASA)

International Nuclear Information System (INIS)

Krois, P.A.; Haas, P.M.; Manning, J.J.; Bovell, C.R.

1984-01-01

The paper will discuss work being conducted during this human factors review including: (1) support of the Severe Accident Sequence Analysis (SASA) Program based on an assessment of operator actions, and (2) development of a descriptive model of operator severe accident management. Research by SASA analysts on the Browns Ferry Unit One (BF1) anticipated transient without scram (ATWS) was supported through a concurrent assessment of operator performance to demonstrate contributions to SASA analyses from human factors data and methods. A descriptive model was developed called the Function Oriented Accident Management (FOAM) model, which serves as a structure for bridging human factors, operations, and engineering expertise and which is useful for identifying needs/deficiencies in the area of accident management. The assessment of human factors issues related to ATWS required extensive coordination with SASA analysts. The analysis was consolidated primarily to six operator actions identified in the Emergency Procedure Guidelines (EPGs) as being the most critical to the accident sequence. These actions were assessed through simulator exercises, qualitative reviews, and quantitative human reliability analyses. The FOAM descriptive model assumes as a starting point that multiple operator/system failures exceed the scope of procedures and necessitates a knowledge-based emergency response by the operators. The FOAM model provides a functionally-oriented structure for assembling human factors, operations, and engineering data and expertise into operator guidance for unconventional emergency responses to mitigate severe accident progression and avoid/minimize core degradation. Operators must also respond to potential radiological release beyond plant protective barriers. Research needs in accident management and potential uses of the FOAM model are described. 11 references, 1 figure

Elastic analysis of beam support impact

International Nuclear Information System (INIS)

Salmon, M.A.; Verma, V.K.; Youtsos, T.G.

1982-01-01

The effect of gaps present in the seismic supports of nuclear piping systems has been studied with the use of such large general purpose analysis codes as ANSYS. Exact analytical solutions to two simple beam impact problems are obtained to serve as benchmarks for the evaluation of the ability of such codes to model impact between beam elements and their supports. Bernoulli-Euler beam theory and modal analysis are used to obtain analytical solutions for the motion of simply supported and fixed ended beams after impact with a spring support at midspan. The solutions are valid up to the time the beam loses contact with the spring support. Numerical results are obtained which show that convergence for both contact force and bending moment at the point of impact is slower as spring stiffness is increased. Finite element solutions obtained with ANSYS are compared to analytical results and good agreement is obtained

Perceived social support following percutaneous coronary intervention is a crucial factor in patients with coronary heart disease.

Science.gov (United States)

Kähkönen, Outi; Kankkunen, Päivi; Miettinen, Heikki; Lamidi, Marja-Leena; Saaranen, Terhi

2017-05-01

To describe perceived social support among patients with coronary heart disease following percutaneous coronary intervention. A low level of social support is considered a risk factor for coronary heart disease in healthy individuals and reduces the likelihood that people diagnosed with coronary heart disease will have a good prognosis. A descriptive cross-sectional study. A survey of 416 patients was conducted in 2013. A self-report instrument, Social Support of People with Coronary Heart Disease, was used. The instrument comprises three dimensions of social support: informational, emotional, functional supports and 16 background variables. Data were analysed using descriptive statistics, factor analysis, mean sum variables and multivariate logistic regression. Perceived informational support was primarily high, but respondents' risk factors were not at the target level. The weakest items of informational support were advice on physical activity, continuum of care and rehabilitation. Regarding the items of emotional support, support from other cardiac patients was the weakest. The weakest item of functional support was respondents' sense of the healthcare professionals' care of patients coping with their disease. Background variables associated with perceived social support were gender, marital status, level of formal education, profession, physical activity, duration of coronary heart disease and previous myocardial infarction. Healthcare professionals should pay extra attention to women, single patients, physically inactive patients, those demonstrating a lower level of education, those with a longer duration of CHD, and respondents without previous acute myocardial infarction. Continuum of care and counselling are important to ensure especially among them. This study provides evidence that healthcare professionals should be more aware of the individual needs for social support among patients with coronary heart disease after percutaneous coronary intervention

Lungworm Infections in German dairy cattle herds--seroprevalence and GIS-supported risk factor analysis.

Directory of Open Access Journals (Sweden)

Anne-Marie Schunn

Full Text Available In November 2008, a total of 19,910 bulk tank milk (BTM samples were obtained from dairy farms from all over Germany, corresponding to about 20% of all German dairy herds, and analysed for antibodies against the bovine lungworm Dictyocaulus viviparus by use of the recombinant MSP-ELISA. A total number of 3,397 (17.1%; n = 19,910 BTM samples tested seropositive. The prevalences in individual German federal states varied between 0.0% and 31.2% positive herds. A geospatial map was drawn to show the distribution of seropositive and seronegative herds per postal code area. ELISA results were further analysed for associations with land-use and climate data. Bivariate statistical analysis was used to identify potential spatial risk factors for dictyocaulosis. Statistically significant positive associations were found between lungworm seropositive herds and the proportion of water bodies and grassed area per postal code area. Variables that showed a statistically significant association with a positive BTM test were included in a logistic regression model, which was further refined by controlled stepwise selection of variables. The low Pseudo R(2 values (0.08 for the full model and 0.06 for the final model and further evaluation of the model by ROC analysis indicate that additional, unrecorded factors (e.g. management factors or random effects may substantially contribute to lungworm infections in dairy cows. Veterinarians should include lungworms in the differential diagnosis of respiratory disease in dairy cattle, particularly those at pasture. Monitoring of herds through BTM screening for antibodies can help farmers and veterinarians plan and implement appropriate control measures.

Nominal Performance Biosphere Dose Conversion Factor Analysis

Energy Technology Data Exchange (ETDEWEB)

M.A. Wasiolek

2005-04-28

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis

Using confirmatory factor analysis to explore associated factors of intimate partner violence in a sample of Chinese rural women: a cross-sectional study.

Science.gov (United States)

Hou, Fengsu; Cerulli, Catherine; Wittink, Marsha N; Caine, Eric D; Qiu, Peiyuan

2018-02-02

To estimate the prevalence of intimate partner violence (IPV) among a sample of rural Chinese women and to explore associated factors. Cross-sectional study. Rural areas of Guangyuan City, Sichuan, China. We recruited 1501 women, aged 16 years and older, who had been living locally for at least 2 years and reported being married or in a relationship during the past 12 months. They were among a sample of 1898 potential participants from our larger parent study on the prevalence of depressive-distress symptoms. Participants completed demographic and social economic measures, the Short Form of the Revised Conflict Tactics Scale and the Duke Social Support Index. We applied χ 2 test, analysis of variance and confirmatory factor analysis for analysis. The overall prevalence of IPV in the past 12 months was 29.05%; the prevalence of physical, psychological and sexual violence was 7.66%, 26.58% and 3.20%, respectively. The overall prevalence was highest among women aged 16-29 years, and was more common among those without a high school diploma and who saw their family's financial status as very poor or stagnant. Women who were not victims of IPV had higher levels of social support. Confirmatory factor analysis showed that the total effects of social support on physical, psychological and sexual violence were -0.12, -0.35 and -0.12, respectively. The indirect effects of objective economic status on physical, psychological and sexual violence were -0.047, -0.014 and -0.047, respectively, but the total effect was not significant. The indirect effect of education on psychological violence was -0.056. IPV is common in rural Guangyuan. Our data are comparable with the findings from north-west of China. Social support is an important protective factor. Future work is needed to develop, test and later disseminate potential IPV interventions, with a focus on building actual and perceived supportive social networks. © Article author(s) (or their employer(s) unless otherwise

Information system support as a critical success factor for chronic disease management: Necessary but not sufficient.

Science.gov (United States)

Green, Carolyn J; Fortin, Patricia; Maclure, Malcolm; Macgregor, Art; Robinson, Sylvia

2006-12-01

Improvement of chronic disease management in primary care entails monitoring indicators of quality over time and across patients and practices. Informatics tools are needed, yet implementing them remains challenging. To identify critical success factors enabling the translation of clinical and operational knowledge about effective and efficient chronic care management into primary care practice. A prospective case study of positive deviants using key informant interviews, process observation, and document review. A chronic disease management (CDM) collaborative of primary care physicians with documented improvement in adherence to clinical practice guidelines using a web-based patient registry system with CDM guideline-based flow sheet. Thirty community-based physician participants using predominantly paper records, plus a project management team including the physician lead, project manager, evaluator and support team. A critical success factor (CSF) analysis of necessary and sufficient pathways to the translation of knowledge into clinical practice. A web-based CDM 'toolkit' was found to be a direct CSF that allowed this group of physicians to improve their practice by tracking patient care processes using evidence-based clinical practice guideline-based flow sheets. Moreover, the information and communication technology 'factor' was sufficient for success only as part of a set of seven direct CSF components including: health delivery system enhancements, organizational partnerships, funding mechanisms, project management, practice models, and formal knowledge translation practices. Indirect factors that orchestrated success through the direct factor components were also identified. A central insight of this analysis is that a comprehensive quality improvement model was the CSF that drew this set of factors into a functional framework for successful knowledge translation. In complex primary care settings environment where physicians have low adoption rates of

APT/LEDA RFQ and support frame structural analysis

International Nuclear Information System (INIS)

Ellis, S.

1997-01-01

This report documents structural analysis of the Accelerator Production of Tritium Low Energy Demonstration Accelerator (APT/LEDA) Radio Frequency Quadrupole (RFQ) accelerator structure and its associated support frame. This work was conducted for the Department of Energy in support of the APT/LEDA. Structural analysis of the RFQ was performed to quantify stress levels and deflections due to both vacuum loading and gravity loading. This analysis also verified the proposed support scheme geometry and quantified interface loads. This analysis also determined the necessary stiffness and strength requirements of the RFQ support frame verifying the conceptual design geometry and allowing specification of individual frame elements. Complete structural analysis of the frame was completed subsequently. This report details structural analysis of the RFQ assembly with regard to gravity and vacuum loads only. Thermally induced stresses from the Radio Frequency (RF) surface resistance heating were not considered

Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

Science.gov (United States)

Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

2011-01-01

This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

Work Hope: The Role of Personal and Social Factors and Family Support

Directory of Open Access Journals (Sweden)

leila vahid dastjerdi

2016-01-01

Full Text Available The purpose of the present study was to investigate the related factors on work hope in University of Isfahan's Students. It was a descriptive, correlational study. The statistical samples of the study comprised of all of the students in the University of Isfahan in 2014-15. The sample including 300 students was selected through relatively stratified sampling in the University of Isfahan. The work hope scale, general self-efficacy questionnaire, differential status identity scale, time perspective questionnaires and perceived social support scale were used in collecting the data. The results of path analysis showed that family support indirectly related to work hope through social prestige and social power. Besides, family support indirectly related to self-efficacy through social power. Among the dimensions of perceived social status, social power was found to be indirectly related to work hope through self-efficacy, and social prestige found to be directly related to work hope. Further, self-efficacy was related to work hope both directly and indirectly. Among the aspects of time perspective, the present hedonistic was significantly and positively related to work hope; however, present fatalistic was significantly and negatively related to work hope. In general, the results showed that the self-efficacy, social prestige, social support, present hedonistic, present fatalistic and family support could predict work hope.

Factor analysis methods and validity evidence: A systematic review of instrument development across the continuum of medical education

Science.gov (United States)

Wetzel, Angela Payne

Previous systematic reviews indicate a lack of reporting of reliability and validity evidence in subsets of the medical education literature. Psychology and general education reviews of factor analysis also indicate gaps between current and best practices; yet, a comprehensive review of exploratory factor analysis in instrument development across the continuum of medical education had not been previously identified. Therefore, the purpose for this study was critical review of instrument development articles employing exploratory factor or principal component analysis published in medical education (2006--2010) to describe and assess the reporting of methods and validity evidence based on the Standards for Educational and Psychological Testing and factor analysis best practices. Data extraction of 64 articles measuring a variety of constructs that have been published throughout the peer-reviewed medical education literature indicate significant errors in the translation of exploratory factor analysis best practices to current practice. Further, techniques for establishing validity evidence tend to derive from a limited scope of methods including reliability statistics to support internal structure and support for test content. Instruments reviewed for this study lacked supporting evidence based on relationships with other variables and response process, and evidence based on consequences of testing was not evident. Findings suggest a need for further professional development within the medical education researcher community related to (1) appropriate factor analysis methodology and reporting and (2) the importance of pursuing multiple sources of reliability and validity evidence to construct a well-supported argument for the inferences made from the instrument. Medical education researchers and educators should be cautious in adopting instruments from the literature and carefully review available evidence. Finally, editors and reviewers are encouraged to recognize

Factor analysis

CERN Document Server

Gorsuch, Richard L

2013-01-01

Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.

Critical Success in E-learning: An Examination of Technological and Institutional Support Factors

Directory of Open Access Journals (Sweden)

Maslin Masrom

2008-12-01

Full Text Available In recent years, information technology (IT becomes prominent to support teaching and learning activities. IT tools allow us to create, collect, store and use the information and knowledge. E-learning was one of IT tools introduced at College of Science and Technology (CST, University Technology Malaysia (UTM Kuala Lumpur since 2001. It has enabled a paradigm shift from institutio n-centered instruction to anywhere, anytime and anybody learning models. In CST the e-learning technology was used for accessing the syllabus and course content, submitting assignments, and taking class quizzes. This paper focuses on issues relating to the e-learning critical success factors (CSFs from university students’ perspective. In this study, two main factors related to the e-learning CSFs within a university environment included technological and institutional support factors were examined. Confirmatory factor modeling approach was used to assess the criticality of the measures included in each factor. The results indicated that the most critical measures for technological factor in terms of ease of access and infrastructure are the browser efficiency, course website ease of use and computer network reliability. Meanwhile, for institutional support factor, the most critical measure is the availability of technical support or help desk.

Supportability Analysis in LCI Environment

OpenAIRE

Dragan Vasiljevic; Ana Horvat

2013-01-01

Starting from the basic pillars of the supportability analysis this paper queries its characteristics in LCI (Life Cycle Integration) environment. The research methodology contents a review of modern logistics engineering literature with the objective to collect and synthesize the knowledge relating to standards of supportability design in e-logistics environment. The results show that LCI framework has properties which are in fully compatibility with the requirement of s...

ECRB ALCOVE AND NICHE GROUND SUPPORT ANALYSIS

International Nuclear Information System (INIS)

J.W. Keifer

1999-01-01

The purpose of the analysis is to provide design bases for Enhanced Characterization of the Repository Block (ECRB) alcove and niche ground support drawings. The objective is to evaluate the ESF Alcove Ground Support Analysis (Ref 5.1) to determine if the calculations technically bound the ECRB alcoves and to address specific differences in the conditions and constraints

Moving Forward: Positive Behavior Support and Applied Behavior Analysis

Science.gov (United States)

Tincani, Matt

2007-01-01

A controversy has emerged about the relationship between positive behavior support and applied behavior analysis. Some behavior analysts suggest that positive behavior support and applied behavior analysis are the same (e.g., Carr & Sidener, 2002). Others argue that positive behavior support is harmful to applied behavior analysis (e.g., Johnston,…

Exploratory Bi-factor Analysis: The Oblique Case

OpenAIRE

Jennrich, Robert L.; Bentler, Peter M.

2011-01-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an explicit bi-factor structure a priori. They use exploratory factor analysis and a bi-factor rotation criterion designed to produce a rotated loading mat...

A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

Directory of Open Access Journals (Sweden)

Farahman Farrokhi

2011-06-01

Full Text Available "nObjective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Abbreviated Math Anxiety Scale (AMAS, proposed by Hopko, Mahadevan, Bare & Hunt. "nMethod: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. The confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian version of AMAS. "nResults: As expected, the two-factor solution provided a better fit to the data than a single factor. Moreover, multi-group analyses showed that this two-factor structure was invariant across sex. Hence, AMAS provides an equally valid measure for use among college students. "nConclusions:  Brief AMAS demonstrates adequate reliability and validity. The AMAS scores can be used to compare symptoms of math anxiety between male and female students. The study both expands and adds support to the existing body of math anxiety literature.

Factor analysis in optimization of formulation of high content uniformity tablets containing low dose active substance

Czech Academy of Sciences Publication Activity Database

Lukášová, I.; Muselík, J.; Franc, A.; Goněc, R.; Mika, Filip; Vetchý, D.

2017-01-01

Roč. 109, NOV (2017), s. 541-547 ISSN 0928-0987 R&D Projects: GA MŠk(CZ) LO1212; GA MŠk ED0017/01/01 Institutional support: RVO:68081731 Keywords : factor analysis * process optimization * sampling error * worst case Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering OBOR OECD: Medical laboratory technology (including laboratory samples analysis Impact factor: 3.756, year: 2016

Supportive and motivating environments in school: Main factors to make well-being and learning a reality

Directory of Open Access Journals (Sweden)

Anne G. Danielsen

2011-03-01

Full Text Available The author examined the relationships between (i school-related social support from parents, teachers, and classmates, respectively, and students’ perceived life satisfaction; and (ii school-related social support from teachers and classmates and self-reported academic initiative. The analyses were based on data from nationally representative samples of 13- and 15-year-old students from the Norwegian part of the sixth and seventh World Health Organization (WHO international survey of Health Behavior in School-aged Children (HBSC. The Structural Equation Modeling (SEM analyzing approach was employed. The findings indicate that school-related social support is positively related to students’ perceived life satisfaction and self-reported academic initiative. In two-level SEM analysis, a latent factor comprising pedagogical caring and autonomy support was substantially related to self-reported academic initiative at the class level.

Factors affecting construction performance: exploratory factor analysis

Science.gov (United States)

Soewin, E.; Chinda, T.

2018-04-01

The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.

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”.

Self-Compassion Scale: IRT Psychometric Analysis, Validation, and Factor Structure – Slovak Translation

Directory of Open Access Journals (Sweden)

Júlia Halamová

2018-01-01

Full Text Available The present study verifies the psychometric properties of the Slovak version of the Self-Compassion Scale through item response theory, factor-analysis, validity analyses and norm development. The surveyed sample consisted of 1,181 participants (34% men and 66% women with a mean age of 30.30 years (SD = 12.40. Two general factors (Self-compassionate responding and Self-uncompassionate responding were identified, whereas there was no support for a single general factor of the scale and six subscales. The results of the factor analysis were supported by an independent sample of 676 participants. Therefore, the use of total score for the whole scale would be inappropriate. In Slovak language the Self-Compassion Scale should be used in the form of two general subscales (Self-compassionate responding and Self-uncompassionate responding. In line with our theoretical assumptions, we obtained relatively high Spearman’s correlation coefficients between the Self-Compassion Scale and related external variables, demonstrating construct validity for the scale. To sum up, the Slovak translation of The Self-Compassion Scale is a reliable and valid instrument that measures Self-compassionate responding and Self-uncompassionate responding.

Interactive analysis of human error factors in NPP operation events

International Nuclear Information System (INIS)

Zhang Li; Zou Yanhua; Huang Weigang

2010-01-01

Interactive of human error factors in NPP operation events were introduced, and 645 WANO operation event reports from 1999 to 2008 were analyzed, among which 432 were found relative to human errors. After classifying these errors with the Root Causes or Causal Factors, and then applying SPSS for correlation analysis,we concluded: (1) Personnel work practices are restricted by many factors. Forming a good personnel work practices is a systematic work which need supports in many aspects. (2)Verbal communications,personnel work practices, man-machine interface and written procedures and documents play great roles. They are four interaction factors which often come in bundle. If some improvements need to be made on one of them,synchronous measures are also necessary for the others.(3) Management direction and decision process, which are related to management,have a significant interaction with personnel factors. (authors)

Lungworm Infections in German Dairy Cattle Herds — Seroprevalence and GIS-Supported Risk Factor Analysis

Science.gov (United States)

Schunn, Anne-Marie; Conraths, Franz J.; Staubach, Christoph; Fröhlich, Andreas; Forbes, Andrew; Strube, Christina

2013-01-01

In November 2008, a total of 19,910 bulk tank milk (BTM) samples were obtained from dairy farms from all over Germany, corresponding to about 20% of all German dairy herds, and analysed for antibodies against the bovine lungworm Dictyocaulus viviparus by use of the recombinant MSP-ELISA. A total number of 3,397 (17.1%; n = 19,910) BTM samples tested seropositive. The prevalences in individual German federal states varied between 0.0% and 31.2% positive herds. A geospatial map was drawn to show the distribution of seropositive and seronegative herds per postal code area. ELISA results were further analysed for associations with land-use and climate data. Bivariate statistical analysis was used to identify potential spatial risk factors for dictyocaulosis. Statistically significant positive associations were found between lungworm seropositive herds and the proportion of water bodies and grassed area per postal code area. Variables that showed a statistically significant association with a positive BTM test were included in a logistic regression model, which was further refined by controlled stepwise selection of variables. The low Pseudo R2 values (0.08 for the full model and 0.06 for the final model) and further evaluation of the model by ROC analysis indicate that additional, unrecorded factors (e.g. management factors) or random effects may substantially contribute to lungworm infections in dairy cows. Veterinarians should include lungworms in the differential diagnosis of respiratory disease in dairy cattle, particularly those at pasture. Monitoring of herds through BTM screening for antibodies can help farmers and veterinarians plan and implement appropriate control measures. PMID:24040243

Factor analysis of multivariate data

Digital Repository Service at National Institute of Oceanography (India)

Fernandes, A.A.; Mahadevan, R.

A brief introduction to factor analysis is presented. A FORTRAN program, which can perform the Q-mode and R-mode factor analysis and the singular value decomposition of a given data matrix is presented in Appendix B. This computer program, uses...

MOOC Success Factors: Proposal of an Analysis Framework

Directory of Open Access Journals (Sweden)

Margarida M. Marques

2017-10-01

Full Text Available Aim/Purpose: From an idea of lifelong-learning-for-all to a phenomenon affecting higher education, Massive Open Online Courses (MOOCs can be the next step to a truly universal education. Indeed, MOOC enrolment rates can be astoundingly high; still, their completion rates are frequently disappointingly low. Nevertheless, as courses, the participants’ enrolment and learning within the MOOCs must be considered when assessing their success. In this paper, the authors’ aim is to reflect on what makes a MOOC successful to propose an analysis framework of MOOC success factors. Background: A literature review was conducted to identify reported MOOC success factors and to propose an analysis framework. Methodology: This literature-based framework was tested against data of a specific MOOC and refined, within a qualitative interpretivist methodology. The data were collected from the ‘As alterações climáticas nos média escolares - Clima@EduMedia’ course, which was developed by the project Clima@EduMedia and was submitted to content analysis. This MOOC aimed to support science and school media teachers in the use of media to teach climate change Contribution: By proposing a MOOC success factors framework the authors are attempting to contribute to fill in a literature gap regarding what concerns criteria to consider a specific MOOC successful. Findings: This work major finding is a literature-based and empirically-refined MOOC success factors analysis framework. Recommendations for Practitioners: The proposed framework is also a set of best practices relevant to MOOC developers, particularly when targeting teachers as potential participants. Recommendation for Researchers: This work’s relevance is also based on its contribution to increasing empirical research on MOOCs. Impact on Society: By providing a proposal of a framework on factors to make a MOOC successful, the authors hope to contribute to the quality of MOOCs. Future Research: Future

Tool Support for Parametric Analysis of Large Software Simulation Systems

Science.gov (United States)

Schumann, Johann; Gundy-Burlet, Karen; Pasareanu, Corina; Menzies, Tim; Barrett, Tony

2008-01-01

The analysis of large and complex parameterized software systems, e.g., systems simulation in aerospace, is very complicated and time-consuming due to the large parameter space, and the complex, highly coupled nonlinear nature of the different system components. Thus, such systems are generally validated only in regions local to anticipated operating points rather than through characterization of the entire feasible operational envelope of the system. We have addressed the factors deterring such an analysis with a tool to support envelope assessment: we utilize a combination of advanced Monte Carlo generation with n-factor combinatorial parameter variations to limit the number of cases, but still explore important interactions in the parameter space in a systematic fashion. Additional test-cases, automatically generated from models (e.g., UML, Simulink, Stateflow) improve the coverage. The distributed test runs of the software system produce vast amounts of data, making manual analysis impossible. Our tool automatically analyzes the generated data through a combination of unsupervised Bayesian clustering techniques (AutoBayes) and supervised learning of critical parameter ranges using the treatment learner TAR3. The tool has been developed around the Trick simulation environment, which is widely used within NASA. We will present this tool with a GN&C (Guidance, Navigation and Control) simulation of a small satellite system.

Factor analysis and scintigraphy

International Nuclear Information System (INIS)

Di Paola, R.; Penel, C.; Bazin, J.P.; Berche, C.

1976-01-01

The goal of factor analysis is usually to achieve reduction of a large set of data, extracting essential features without previous hypothesis. Due to the development of computerized systems, the use of largest sampling, the possibility of sequential data acquisition and the increase of dynamic studies, the problem of data compression can be encountered now in routine. Thus, results obtained for compression of scintigraphic images were first presented. Then possibilities given by factor analysis for scan processing were discussed. At last, use of this analysis for multidimensional studies and specially dynamic studies were considered for compression and processing [fr

Structural Analysis of Cabinet Support under Static and Seismic Loads

International Nuclear Information System (INIS)

Jung, Kwangsub; Lee, Sangjin; Oh, Jinho

2014-01-01

The cabinet support consists of frames including steel channels and steel square tubes. Four tap holes for screw bolts are located on the support frame of a steel channel to fix the cabinet on the support. The channels and square tubes are assembled by welded joints. The cabinet supports are installed on the outer walls of the reactor concrete island. The KEPIC code, MNF, is used for the design of the cabinet support. In this work, the structural integrity of the cabinet support is analyzed under consideration of static and seismic loads. A 3-D finite element model of the cabinet support was developed. The structural integrity of the cabinet support under postulated service loading conditions was evaluated through a static analysis, modal analysis, and response spectrum analysis. From the structural analysis results, it was concluded that the structural integrity of the cabinet support is guaranteed

Measuring coalition functioning: refining constructs through factor analysis.

Science.gov (United States)

Brown, Louis D; Feinberg, Mark E; Greenberg, Mark T

2012-08-01

Internal and external coalition functioning is an important predictor of coalition success that has been linked to perceived coalition effectiveness, coalition goal achievement, coalition ability to support evidence-based programs, and coalition sustainability. Understanding which aspects of coalition functioning best predict coalition success requires the development of valid measures of empirically unique coalition functioning constructs. The goal of the present study is to examine and refine the psychometric properties of coalition functioning constructs in the following six domains: leadership, interpersonal relationships, task focus, participation benefits/costs, sustainability planning, and community support. The authors used factor analysis to identify problematic items in our original measure and then piloted new items and scales to create a more robust, psychometrically sound, multidimensional measure of coalition functioning. Scales displayed good construct validity through correlations with other measures. Discussion considers the strengths and weaknesses of the refined instrument.

Determination of the Factors Affecting The Use of the Support Program of the Enterprises Benefiting from the Rural Development Investments Program in the Western Mediterranean Region

Directory of Open Access Journals (Sweden)

Yavuz Taşcıoğlu

2017-07-01

Full Text Available With industrialization, change has taken place in the world and development efforts have concentrated in urban areas. This has affected the rural area negatively and the increase in rural development studies has increased with the emergence of interregional economic imbalances. With the planned period, rural development studies in Turkey have increased and strategies, projects and programs have begun to be developed. One of these activities is the Rural Development Investment Support Program (RDISP, which entered into force in 2006. The aim of the program is to increase the level of rural area income, to ensure integration of agricultural production and agricultural industry, to strengthen food safety, to create alternative income sources in the rural area. In this study, it was aimed to determine the attitudes and behaviors of program beneficiaries in the Western Mediterranean Region within the framework of the RDISP applied in Turkey, and the factors affecting their utilization from the program. In the study, a total of 96 enterprises provided interviews based on face to face interviews. In this study, Factor Analysis was applied to determine the factors that affect the preferences of the enterprises and to determine the factors affecting the investments of the enterprises. In the study, 12 variables that were effective in factor analysis in the utilization of this support were combined into 3 factors. These factors have been found to be “support for local support and information about support”, “employment support for support” and “environmental sensitivity for support”.

Correlates of Social Support Among Latino Immigrants.

Science.gov (United States)

Held, Mary L

2018-04-01

Latino immigrants encounter considerable stressors that pose risks to health and well-being during settlement in the USA. Social support serves as a protective factor that can help to buffer the negative effects of stress. Despite the importance of social support, we know little about how Latino immigrants differentially experience this protective factor. The current study analyzed data from 100 Latino immigrants residing in Tennessee. Hierarchical multiple regression analysis was employed to examine variation in self-reported social support by immigrant characteristics and immigration-related factors. Females, immigrants who are not married/cohabitating, and those who reported experiencing a greater number of discrete stressors in the USA each reported lower levels of social support. Implications for practice include an increased emphasis on assessing levels of social support and designing services to strengthen support for the most vulnerable immigrants. Future research should consider a longitudinal analysis and specific types of social support.

Risk factors associated with default among new pulmonary TB patients and social support in six Russian regions.

Science.gov (United States)

Jakubowiak, W M; Bogorodskaya, E M; Borisov, S E; Borisov, E S; Danilova, I D; Danilova, D I; Kourbatova, E V; Kourbatova, E K

2007-01-01

Tuberculosis (TB) services in six Russian regions in which social support programmes for TB patients were implemented. To identify risk factors for default and to evaluate possible impact of social support. Retrospective study of new pulmonary smear-positive and smear-negative TB patients registered during the second and third quarters of the 2003. Data were analysed in a case-control study including default patients as cases and successfully treated patients as controls, using multivariate logistic regression modelling. A total of 1805 cases of pulmonary TB were enrolled. Default rates in the regions were 2.3-6.3%. On multivariate analysis, risk factors independently associated with default outcome included: unemployment (OR 4.44; 95%CI 2.23-8.86), alcohol abuse (OR 1.99; 95%CI 1.04-3.81), and homelessness (OR 3.49; 95%CI 1.25-9.77). Social support reduced the default outcome (OR 0.13; 95%CI 0.06-0.28), controlling for age, sex, region, residence and acid-fast bacilli (AFB) smear of sputum. Unemployment, alcohol abuse and homelessness were associated with increased default outcome among new TB patients, while social support for TB patients reduced default. Further prospective randomised studies are necessary to evaluate the impact and to determine the most cost-effective social support for improving treatment outcomes of TB in patients in Russia, especially among populations at risk of default.

ESF GROUND SUPPORT - STRUCTURAL STEEL ANALYSIS

Energy Technology Data Exchange (ETDEWEB)

T. Misiak

1996-06-26

The purpose and objective of this analysis are to expand the level of detail and confirm member sizes for steel sets included in the Ground Support Design Analysis, Reference 5.20. This analysis also provides bounding values and details and defines critical design attributes for alternative configurations of the steel set. One possible configuration for the steel set is presented. This analysis covers the steel set design for the Exploratory Studies Facility (ESF) entire Main Loop 25-foot diameter tunnel.

Confirmatory factor analysis reveals a latent cognitive structure common to bipolar disorder, schizophrenia, and normal controls.

Science.gov (United States)

Schretlen, David J; Peña, Javier; Aretouli, Eleni; Orue, Izaskun; Cascella, Nicola G; Pearlson, Godfrey D; Ojeda, Natalia

2013-06-01

We sought to determine whether a single hypothesized latent factor structure would characterize cognitive functioning in three distinct groups. We assessed 576 adults (340 community controls, 126 adults with bipolar disorder, and 110 adults with schizophrenia) using 15 measures derived from nine cognitive tests. Confirmatory factor analysis (CFA) was conducted to examine the fit of a hypothesized six-factor model. The hypothesized factors included attention, psychomotor speed, verbal memory, visual memory, ideational fluency, and executive functioning. The six-factor model provided an excellent fit for all three groups [for community controls, root mean square error of approximation (RMSEA) schizophrenia, RMSEA = 0.06 and CFI = 0.98]. Alternate models that combined fluency with processing speed or verbal and visual memory reduced the goodness of fit. Multi-group CFA results supported factor invariance across the three groups. Confirmatory factor analysis supported a single six-factor structure of cognitive functioning among patients with schizophrenia or bipolar disorder and community controls. While the three groups clearly differ in level of performance, they share a common underlying architecture of information processing abilities. These cognitive factors could provide useful targets for clinical trials of treatments that aim to enhance information processing in persons with neurological and neuropsychiatric disorders. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Analysis Of Factors Affecting Gravity-Induced Deflection For Large And Thin Wafers In Flatness Measurement Using Three-Point-Support Method

Directory of Open Access Journals (Sweden)

Liu Haijun

2015-12-01

Full Text Available Accurate flatness measurement of silicon wafers is affected greatly by the gravity-induced deflection (GID of the wafers, especially for large and thin wafers. The three-point-support method is a preferred method for the measurement, in which the GID uniquely determined by the positions of the supports could be calculated and subtracted. The accurate calculation of GID is affected by the initial stress of the wafer and the positioning errors of the supports. In this paper, a finite element model (FEM including the effect of initial stress was developed to calculate GID. The influence of the initial stress of the wafer on GID calculation was investigated and verified by experiment. A systematic study of the effects of positioning errors of the support ball and the wafer on GID calculation was conducted. The results showed that the effect of the initial stress could not be neglected for ground wafers. The wafer positioning error and the circumferential error of the support were the most influential factors while the effect of the vertical positioning error was negligible in GID calculation.

Social support and support groups among people with HIV/AIDS in Ghana.

Science.gov (United States)

Abrefa-Gyan, Tina; Wu, Liyun; Lewis, Marilyn W

2016-01-01

HIV/AIDS, a chronic burden in Ghana, poses social and health outcome concerns to those infected. Examining the Medical Outcome Study Social Support Survey (MOS-SSS) instrument among 300 Ghanaians from a cross-sectional design, Principal Component Analysis yielded four factors (positive interaction, trust building, information giving, and essential support), which accounted for 85.73% of the total variance in the MOS-SSS. A logistic regression analysis showed that essential support was the strongest predictor of the length of time an individual stayed in the support group, whereas positive interaction indicated negative association. The study's implications for policy, research, and practice were discussed.

Data near processing support for climate data analysis

Science.gov (United States)

Kindermann, Stephan; Ehbrecht, Carsten; Hempelmann, Nils

2016-04-01

Climate data repositories grow in size exponentially. Scalable data near processing capabilities are required to meet future data analysis requirements and to replace current "data download and process at home" workflows and approaches. On one hand side, these processing capabilities should be accessible via standardized interfaces (e.g. OGC WPS), on the other side a large variety of processing tools, toolboxes and deployment alternatives have to be supported and maintained at the data/processing center. We present a community approach of a modular and flexible system supporting the development, deployment and maintenace of OGC-WPS based web processing services. This approach is organized in an open source github project (called "bird-house") supporting individual processing services ("birds", e.g. climate index calculations, model data ensemble calculations), which rely on basic common infrastructural components (e.g. installation and deployment recipes, analysis code dependencies management). To support easy deployment at data centers as well as home institutes (e.g. for testing and development) the system supports the management of the often very complex package dependency chain of climate data analysis packages as well as docker based packaging and installation. We present a concrete deployment scenario at the German Climate Computing Center (DKRZ). The DKRZ one hand side hosts a multi-petabyte climate archive which is integrated e.g. into the european ENES and worldwide ESGF data infrastructure, and on the other hand hosts an HPC center supporting (model) data production and data analysis. The deployment scenario also includes openstack based data cloud services to support data import and data distribution for bird-house based WPS web processing services. Current challenges for inter-institutionnal deployments of web processing services supporting the european and international climate modeling community as well as the climate impact community are highlighted

Personality disorders in substance abusers: Validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

Directory of Open Access Journals (Sweden)

Hesse Morten

2005-05-01

Full Text Available Abstract Background Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated. Methods The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133, and (b a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales. Results It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion. Conclusion The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.

Predicting suicide ideation through intrapersonal and interpersonal factors: The interplay of Big-Five personality traits and social support.

Science.gov (United States)

Ayub, Nailah

2015-11-01

While a specific personality trait may escalate suicide ideation, contextual factors such as social support, when provided effectively, may alleviate the effects of such personality traits. This study examined the moderating role of social support in the relationship between the Big-Five personality traits and suicide ideation. Significant interactions were found between social support and extraversion and emotional stability. Specifically, the relationship between emotional stability and extraversion to suicide ideation was exacerbated when social support was low. Slope analysis showed openness also interacted with low social support. Results were computed for frequency, duration and attitude dimensions of suicide ideation. Extraversion interacted with social support to predict all three dimensions. Social support moderated emotional stability to predict frequency and duration, moderated conscientiousness towards frequency and attitude, and moderated openness towards attitude. The results imply that whereas personality traits may be difficult to alter, social support may play a significant role in saving a life. Psychologists should include family and friends when treating a suicidal youth, guiding them to awareness of one's personality and being more supportive. Copyright © 2015 John Wiley & Sons, Ltd.

Confirmatory factor analysis of the Neuropsychological Assessment Battery of the LADIS study

DEFF Research Database (Denmark)

Moleiro, Carla; Madureira, Sofia; Verdelho, Ana

2013-01-01

analysis (CFA) was used to investigate the dimensions of a structured set of neuropsychological tests administered to a multicenter, international sample of independent older adults (LADIS study). Six hundred and thirty-eight older adults completed baseline neuropsychological, clinical, functional...... and motor assessments, which were repeated each year for a 3-year follow-up. CFA provided support for a 3-factor model. These factors involve the dimensions of executive functions, memory functions, and speed and motor control abilities. Performance decreased in most neuropsychological measures. Results...

Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor.

Science.gov (United States)

Wang, Li; Wang, Xiaoyi; Jin, Xuebo; Xu, Jiping; Zhang, Huiyan; Yu, Jiabin; Sun, Qian; Gao, Chong; Wang, Lingbin

2017-03-01

The formation process of algae is described inaccurately and water blooms are predicted with a low precision by current methods. In this paper, chemical mechanism of algae growth is analyzed, and a correlation analysis of chlorophyll-a and algal density is conducted by chemical measurement. Taking into account the influence of multi-factors on algae growth and water blooms, the comprehensive prediction method combined with multivariate time series and intelligent model is put forward in this paper. Firstly, through the process of photosynthesis, the main factors that affect the reproduction of the algae are analyzed. A compensation prediction method of multivariate time series analysis based on neural network and Support Vector Machine has been put forward which is combined with Kernel Principal Component Analysis to deal with dimension reduction of the influence factors of blooms. Then, Genetic Algorithm is applied to improve the generalization ability of the BP network and Least Squares Support Vector Machine. Experimental results show that this method could better compensate the prediction model of multivariate time series analysis which is an effective way to improve the description accuracy of algae growth and prediction precision of water blooms.

Examining the Support Peer Supporters Provide Using Structural Equation Modeling: Nondirective and Directive Support in Diabetes Management.

Science.gov (United States)

Kowitt, Sarah D; Ayala, Guadalupe X; Cherrington, Andrea L; Horton, Lucy A; Safford, Monika M; Soto, Sandra; Tang, Tricia S; Fisher, Edwin B

2017-12-01

Little research has examined the characteristics of peer support. Pertinent to such examination may be characteristics such as the distinction between nondirective support (accepting recipients' feelings and cooperative with their plans) and directive (prescribing "correct" choices and feelings). In a peer support program for individuals with diabetes, this study examined (a) whether the distinction between nondirective and directive support was reflected in participants' ratings of support provided by peer supporters and (b) how nondirective and directive support were related to depressive symptoms, diabetes distress, and Hemoglobin A1c (HbA1c). Three hundred fourteen participants with type 2 diabetes provided data on depressive symptoms, diabetes distress, and HbA1c before and after a diabetes management intervention delivered by peer supporters. At post-intervention, participants reported how the support provided by peer supporters was nondirective or directive. Confirmatory factor analysis (CFA), correlation analyses, and structural equation modeling examined the relationships among reports of nondirective and directive support, depressive symptoms, diabetes distress, and measured HbA1c. CFA confirmed the factor structure distinguishing between nondirective and directive support in participants' reports of support delivered by peer supporters. Controlling for demographic factors, baseline clinical values, and site, structural equation models indicated that at post-intervention, participants' reports of nondirective support were significantly associated with lower, while reports of directive support were significantly associated with greater depressive symptoms, altogether (with control variables) accounting for 51% of the variance in depressive symptoms. Peer supporters' nondirective support was associated with lower, but directive support was associated with greater depressive symptoms.

Confirmatory Factor Analysis of the Bases of Leader Power: First-Order Factor Model and Its Invariance Across Groups.

Science.gov (United States)

Rahim, M A; Magner, N R

1996-10-01

Confirmatory factor analyses of data (from five samples: N = 308 accountants and finance professionals, N = 578 management and non-management employees, and N = 588 employed management students in the U.S.; N = 728 management and non-management employees in S. Korea, N = 250 management and non-management bank employees in Bangladesh) on the 29 items of the Rahim Leader Power Inventory were performed with LISREL 7. The results provided support for the convergent and discriminant validities of the subscales measuring the five bases of leader power (coercive, reward, legitimate, expert, and referent), and the invariance of factor pattern and factor loadings across organizational levels and the three American samples. Additional analysis indicated that leader power profiles differed across the three national cultures represented in the study.

Confirmatory Factor Analysis of the Universiti Sains Malaysia Emotional Quotient Inventory Among Medical Students in Malaysia

Directory of Open Access Journals (Sweden)

Wan Nor Arifin

2016-05-01

Full Text Available The Universiti Sains Malaysia Emotional Quotient Inventory (USMEQ-i is a Malay-language emotional intelligence (EI inventory that was based on a mixed-model approach of EI. It was specifically developed and validated for use among medical course applicants. However, evidence to support its use among medical students is inadequate. This study aims to provide further construct validity evidence for the USMEQ-i among medical students through confirmatory factor analysis (CFA. A cross-sectional study was carried out on a sample of 479 medical students in Universiti Sains Malaysia (USM. After a preliminary analysis, data from only 317 respondents were found suitable for inclusion in CFA. CFA was performed using the maximum likelihood estimation method with bootstrapping due to the nonnormality of items at the multivariate level. The results of the analysis support the two-factor model of the EI component and the one-factor model of the faking component. However, the USMEQ-i should be administered with caution until further cross-validation studies are conducted among students in other medical schools in Malaysia.

Attachment as a Moderating Factor Between Social Support, Physical Health, and Psychological Symptoms

Directory of Open Access Journals (Sweden)

Kimberly A. Rapoza

2016-12-01

Full Text Available This study investigated the extent to which perceived social support functioned as a protective factors, and dimensions of insecure attachment (i.e., avoidant and anxious functioned as risks factors for physical and psychological health. We explored whether insecure attachment was a mechanism that modified the relationship (i.e., protect against or increases risk between social support and adult health. Participants were 155 non-traditional adult college students from demographically diverse backgrounds. Students were approached in common areas on campus or in classrooms during break and were asked to complete the questionnaire. Bartholomew and Horowitz’s Attachment Questionnaire assessed avoidant and anxious attachment dimensions, the Brief Social Support Questionnaire assessed perceived social support, and the Memorial Symptom Assessment Scale measured physical and psychological symptoms. Model results indicated that the anxious dimension of insecure attachment was more directly and positively associated with poorer general physical health and psychological symptoms, whereas greater perceived social support was linked with better reported health. However, an interesting pattern emerged with avoidant attachment through a moderated relationship with social support. The absence of a satisfying supportive network was significantly related to poorer physical and psychological health outcomes for those low in avoidant attachment, but not for those high in avoidant attachment. Results from this work suggest that insecure attachment plays a detrimental role in adult health. Perceived social support does not necessarily function as a blanket protective factor for health, as it seemed to offer less benefit to those high in attachment avoidance.

Exploratory Bi-Factor Analysis: The Oblique Case

Science.gov (United States)

Jennrich, Robert I.; Bentler, Peter M.

2012-01-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

Disruptive Event Biosphere Dose Conversion Factor Analysis

Energy Technology Data Exchange (ETDEWEB)

M. Wasiolek

2004-09-08

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this

Disruptive Event Biosphere Dose Conversion Factor Analysis

International Nuclear Information System (INIS)

M. Wasiolek

2004-01-01

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this analysis was to develop the BDCFs for the volcanic ash

Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain

Czech Academy of Sciences Publication Activity Database

Frolov, A.; Húsek, Dušan; Polyakov, P.Y.

2016-01-01

Roč. 27, č. 3 (2016), s. 538-550 ISSN 2162-237X R&D Projects: GA MŠk ED1.1.00/02.0070 Institutional support: RVO:67985807 Keywords : associative memory * bars problem (BP) * Boolean factor analysis (BFA) * data mining * dimension reduction * Hebbian learning rule * information gain * likelihood maximization (LM) * neural network application * recurrent neural network * statistics Subject RIV: IN - Informatics, Computer Science Impact factor: 6.108, year: 2016

Risk factor analysis of equine strongyle resistance to anthelmintics

Directory of Open Access Journals (Sweden)

G. Sallé

2017-12-01

Full Text Available Intestinal strongyles are the most problematic endoparasites of equids as a result of their wide distribution and the spread of resistant isolates throughout the world. While abundant literature can be found on the extent of anthelmintic resistance across continents, empirical knowledge about associated risk factors is missing. This study brought together results from anthelmintic efficacy testing and risk factor analysis to provide evidence-based guidelines in the field. It involved 688 horses from 39 French horse farms and riding schools to both estimate Faecal Egg Count Reduction (FECR after anthelmintic treatment and to interview farm and riding school managers about their practices. Risk factors associated with reduced anthelmintic efficacy in equine strongyles were estimated across drugs using a marginal modelling approach. Results demonstrated ivermectin efficacy (96.3% ± 14.5% FECR, the inefficacy of fenbendazole (42.8% ± 33.4% FECR and an intermediate profile for pyrantel (90.3% ± 19.6% FECR. Risk factor analysis provided support to advocate for FEC-based treatment regimens combined with individual anthelmintic dosage and the enforcement of tighter biosecurity around horse introduction. The combination of these measures resulted in a decreased risk of drug resistance (relative risk of 0.57, p = 0.02. Premises falling under this typology also relied more on their veterinarians suggesting practitionners play an important role in the sustainability of anthelmintic usage. Similarly, drug resistance risk was halved in premises with frequent pasture rotation and with stocking rate below five horses/ha (relative risk of 0.53, p < 0.01. This is the first empirical risk factor analysis for anthelmintic resistance in equids. Our findings should guide the implementation of more sustained strongyle management in the field. Keywords: Horse, Nematode, Anthelmintic resistance, Strongyle, Cyathostomin

Worry About Caregiving Performance: A Confirmatory Factor Analysis

Directory of Open Access Journals (Sweden)

Ruijie Li

2018-03-01

Full Text Available Recent studies on the Zarit Burden Interview (ZBI support the existence of a unique factor, worry about caregiving performance (WaP, beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP differ from the role and personal strain. We performed confirmatory factor analysis (CFA on 466 caregiver-patient dyads to compare between one-factor (total score, two-factor (role/personal strain, three-factor (role/personal strain and WaP, and four-factor models (role strain split into two factors. We conducted linear regression analyses to explore the relationships between different ZBI factors with socio-demographic and disease characteristics, and investigated the stage-dependent differences between WaP with role and personal strain by dyadic relationship. The four-factor structure that incorporated WaP and split role strain into two factors yielded the best fit. Linear regression analyses reveal that different variables significantly predict WaP (adult child caregiver and Neuropsychiatric Inventory Questionnaire (NPI-Q severity from role/personal strain (adult child caregiver, instrumental activities of daily living, and NPI-Q distress. Unlike other factors, WaP was significantly endorsed in early cognitive impairment. Among spouses, WaP remained low across Clinical Dementia Rating (CDR stages until a sharp rise in CDR 3; adult child and sibling caregivers experience a gradual rise throughout the stages. Our results affirm the existence of WaP as a unique factor. Future research should explore the potential of WaP as a possible intervention target to improve self-efficacy in the milder stages of burden.

Psychometric analysis in support of shortening the Scale for the Assessment of Negative Symptoms.

Science.gov (United States)

Levine, Stephen Z; Leucht, Stefan

2013-09-01

Despite recent emphasis on the measurement and treatment of negative symptoms, studies of the Scale for the Assessment of Negative Symptoms (SANS) identify different symptom clusters, offer mixed support for its psychometric properties and suggest that it is shortened. The current study objective is to examine the psychometric properties of the SANS and the feasibility of a short research version of the SANS. Data were re-analyzed from three clinical trials that compared placebo and amisulpride to 60 days. Participants had chronic schizophrenia and predominantly negative symptoms (n=487). Baseline data were examined with exploratory factor analysis and Item Response Theory (IRT) to identify a short SANS. The short and original SANS were compared: with confirmatory factor analysis at endpoint; and on symptom response with mixed modeling to compare. Results showed that at baseline the SANS consisted of three factors labeled Affective-flattening, Asociality and Alogia-inattentiveness. IRT suggested a short SANS with 11 items and 3 response options. Comparisons of the original and short SANS showed: the short version was a better fit to the data based on confirmatory factor analysis at endpoint; similar significant (pnegative symptoms in chronic schizophrenia in research settings. Copyright © 2012 Elsevier B.V. and ECNP. All rights reserved.

Development of output user interface software to support analysis

Energy Technology Data Exchange (ETDEWEB)

Wahanani, Nursinta Adi, E-mail: sintaadi@batan.go.id; Natsir, Khairina, E-mail: sintaadi@batan.go.id; Hartini, Entin, E-mail: sintaadi@batan.go.id [Center for Development of Nuclear Informatics - National Nuclear Energy Agency, PUSPIPTEK, Serpong, Tangerang, Banten (Indonesia)

2014-09-30

Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

Development of output user interface software to support analysis

International Nuclear Information System (INIS)

Wahanani, Nursinta Adi; Natsir, Khairina; Hartini, Entin

2014-01-01

Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu 239 and Pu 241 . Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis

Disruptive Event Biosphere Dose Conversion Factor Analysis

Energy Technology Data Exchange (ETDEWEB)

M. A. Wasiolek

2003-07-21

This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in

Disruptive Event Biosphere Dose Conversion Factor Analysis

International Nuclear Information System (INIS)

M. A. Wasiolek

2003-01-01

This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in the biosphere. The biosphere process

Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature.

Science.gov (United States)

Alahäivälä, Tuomas; Oinas-Kukkonen, Harri

2016-12-01

Gamification is increasingly used as a design strategy when developing behavior change support systems in the healthcare domain. It is commonly agreed that understanding the contextual factors is critical for successful gamification, but systematic analyses of the persuasive contexts have been lacking so far within gamified health intervention studies. Through a persuasion context analysis of the gamified health behavior change support systems (hBCSSs) literature, we inspect how the contextual factors have been addressed in the prior gamified health BCSS studies. The implications of this study are to provide the practitioners and researchers examples of how to conduct a systematic analysis to help guide the design and research on gamified health BCSSs. The ideas derived from the analysis of the included studies will help identify potential pitfalls and shortcomings in both the research and implementations of gamified health behavior change support systems. We systematically analyzed the persuasion contexts of 15 gamified health intervention studies. According to our results, gamified hBCSSs are implemented under different facets of lifestyle change and treatments compliance, and use a multitude of technologies and methods. We present a set of ideas and concepts to help improve endeavors in studying gamified health intervention through comprehensive understanding of the persuasive contextual factors. Future research on gamified hBCSSs should systematically compare the different combinations of contextual factors, related theories, chosen gamification strategies, and the study of outcomes to help understand how to achieve the most efficient use of gamification on the different aspects of healthcare. Analyzing the persuasion context is essential to achieve this. With the attained knowledge, those planning health interventions can choose the 'tried-and-tested' approaches for each particular situation, rather than develop solutions in an ad-hoc manner. Copyright © 2016

DISRUPTIVE EVENT BIOSPHERE DOSE CONVERSION FACTOR ANALYSIS

International Nuclear Information System (INIS)

M.A. Wasiolek

2005-01-01

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The Biosphere Model Report (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objective of this analysis was to develop the BDCFs for the volcanic

Modeling Indicator Systems for Evaluating Environmental Sustainable Development Based on Factor Analysis

Institute of Scientific and Technical Information of China (English)

WU Hao; CHEN Xiaoling; HE Ying; HE Xiaorong; CAI Xiaobin; XU Keyan

2006-01-01

Indicator systems of environmental sustainable development in the Poyang Lake Basin are established from 51 elementary indexes by factor analysis, which is composed of four steps such as the factor model, the parameter estimation, the factor rotation and the factor score. Under the condition that the cumulative proportion is greater than 85%, 5 explicit factors of environmental sustainable development as well as its factor score by region are carried out. The result indicates some impact factors to the basin environmental in descending sort order are volume of water, volume of waste gas discharge, volume of solid wastes, the degree to comprehensive utilization of waste gas, waste water and solid wastes, the emission volume of waste gas, waste water and solid wastes. It is helpful and important to provide decision support for constituting sustainable development strategies and evaluate the sustainable development status of each city.

Geospatial analysis platform: Supporting strategic spatial analysis and planning

CSIR Research Space (South Africa)

Naude, A

2008-11-01

Full Text Available Whilst there have been rapid advances in satellite imagery and related fine resolution mapping and web-based interfaces (e.g. Google Earth), the development of capabilities for strategic spatial analysis and planning support has lagged behind...

Support for food policy initiatives is associated with knowledge of obesity-related cancer risk factors

Directory of Open Access Journals (Sweden)

Wendy Watson

2017-12-01

Full Text Available Objectives: To investigate community support for government-led policy initiatives to positively influence the food environment, and to identify whether there is a relationship between support for food policy initiatives and awareness of the link between obesity-related lifestyle risk factors and cancer. Methods: An online survey of knowledge of cancer risk factors and attitudes to policy initiatives that influence the food environment was completed by 2474 adults from New South Wales, Australia. The proportion of participants in support of seven food policy initiatives was quantified in relation to awareness of the link between obesity, poor diet, insufficient fruit and vegetable consumption, and physical inactivity with cancer and other health conditions. Results: Overall, policies that involved taxing unhealthy foods received the least support (41.5%. Support was highest for introducing a colour-coded food labelling system (85.9%, restricting claims being made about the health benefits of foods which are, overall, unhealthy (82.6%, displaying health warning labels on unhealthy foods (78.7% and banning unhealthy food advertising that targets children (72.6%. Participants who were aware that obesity-related lifestyle factors are related to cancer were significantly more likely to support food policy initiatives than those who were unaware. Only 17.5% of participants were aware that obesity, poor diet, insufficient fruit and vegetable consumption, and physical inactivity are linked to cancer. Conclusions: There is strong support for all policies related to food labelling and a policy banning unhealthy food advertising to children. Support for food policy initiatives that positively influence the food environment was higher among those who were aware of the link between cancer and obesity-related lifestyle factors than among those who were unaware of this link. Increasing awareness of the link between obesity-related lifestyle factors and cancer

Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH).

Science.gov (United States)

Chungkham, Holendro Singh; Ingre, Michael; Karasek, Robert; Westerlund, Hugo; Theorell, Töres

2013-01-01

To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ), using the Swedish Longitudinal Occupational Survey of Health (SLOSH). A confirmatory factor analysis (CFA) and multi-group confirmatory factor analysis (MGCFA) models within the framework of structural equation modeling (SEM) have been used to examine the factor structure and invariance across time. Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42) between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68). The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes.

Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH.

Directory of Open Access Journals (Sweden)

Holendro Singh Chungkham

Full Text Available OBJECTIVES: To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ, using the Swedish Longitudinal Occupational Survey of Health (SLOSH. METHODS: A confirmatory factor analysis (CFA and multi-group confirmatory factor analysis (MGCFA models within the framework of structural equation modeling (SEM have been used to examine the factor structure and invariance across time. RESULTS: Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42 between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68. The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. CONCLUSION: Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes.

Factor Structure and Measurement Invariance of the Need-Supportive Teaching Style Scale for Physical Education.

Science.gov (United States)

Liu, Jing-Dong; Chung, Pak-Kwong

2017-08-01

The purpose of the current study was to examine the factor structure and measurement invariance of a scale measuring students' perceptions of need-supportive teaching (Need-Supportive Teaching Style Scale in Physical Education; NSTSSPE). We sampled 615 secondary school students in Hong Kong, 200 of whom also completed a follow-up assessment two months later. Factor structure of the scale was examined through exploratory structural equation modeling (ESEM). Further, nomological validity of the NSTSSPE was evaluated by examining the relationships between need-supportive teaching style and student satisfaction of psychological needs. Finally, four measurement models-configural, metric invariance, scalar invariance, and item uniqueness invariance-were assessed using multiple group ESEM to test the measurement invariance of the scale across gender, grade, and time. ESEM results suggested a three-factor structure of the NSTSSPE. Nomological validity was supported, and weak, strong, and strict measurement invariance of the NSTSSPE was evidenced across gender, grade, and time. The current study provides initial psychometric support for the NSTSSPE to assess student perceptions of teachers' need-supportive teaching style in physical education classes.

Reliability analysis of idealized tunnel support system using probability-based methods with case studies

Science.gov (United States)

Gharouni-Nik, Morteza; Naeimi, Meysam; Ahadi, Sodayf; Alimoradi, Zahra

2014-06-01

In order to determine the overall safety of a tunnel support lining, a reliability-based approach is presented in this paper. Support elements in jointed rock tunnels are provided to control the ground movement caused by stress redistribution during the tunnel drive. Main support elements contribute to stability of the tunnel structure are recognized owing to identify various aspects of reliability and sustainability in the system. The selection of efficient support methods for rock tunneling is a key factor in order to reduce the number of problems during construction and maintain the project cost and time within the limited budget and planned schedule. This paper introduces a smart approach by which decision-makers will be able to find the overall reliability of tunnel support system before selecting the final scheme of the lining system. Due to this research focus, engineering reliability which is a branch of statistics and probability is being appropriately applied to the field and much effort has been made to use it in tunneling while investigating the reliability of the lining support system for the tunnel structure. Therefore, reliability analysis for evaluating the tunnel support performance is the main idea used in this research. Decomposition approaches are used for producing system block diagram and determining the failure probability of the whole system. Effectiveness of the proposed reliability model of tunnel lining together with the recommended approaches is examined using several case studies and the final value of reliability obtained for different designing scenarios. Considering the idea of linear correlation between safety factors and reliability parameters, the values of isolated reliabilities determined for different structural components of tunnel support system. In order to determine individual safety factors, finite element modeling is employed for different structural subsystems and the results of numerical analyses are obtained in

Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.

Science.gov (United States)

Gutha, Rajasekar; Yarrappagaari, Suresh; Thopireddy, Lavanya; Reddy, Kesireddy Sathyavelu; Saddala, Rajeswara Reddy

2018-03-01

In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present study is aimed at identifying the effect of abiotic and biotic stress factors, and it is found that several stress responsive genes are common for both abiotic and biotic stress factors in zebrafish. The meta-analysis of micro-array studies revealed that almost 4.7% i.e., 108 common DEGs are differentially regulated between abiotic and biotic stresses. This shows that there is a global coordination and fine-tuning of gene regulation in response to these two types of challenges. We also performed dimension reduction methods, principal component analysis, and partial least squares discriminant analysis which are able to segregate abiotic and biotic stresses into separate entities. The supervised machine learning model, recursive-support vector machine, could classify abiotic and biotic stresses with 100% accuracy using a subset of DEGs. Beside these methods, the random forests decision tree model classified five out of 8 stress conditions with high accuracy. Finally, Functional enrichment analysis revealed the different gene ontology terms, transcription factors and miRNAs factors in the regulation of stress responses. Copyright © 2017 Elsevier Inc. All rights reserved.

Multi-criteria Analysis of Factors for Application of Concrete Composites Considering Their Environmental Harmfulness

Science.gov (United States)

Paulikova, A.; Estokova, A.; Mitterpach, J.

2017-10-01

The analysis of factors is important in insight of the selection of proper building material with environmental added value. A comprehensive solution is possible if at the beginning there are all the relevant factors in detail characterized predominately that have got a major impact on the area in terms of environmentalharmfulness prevention. There are many groups of environmental factors. In this article only four factors are considered, i.e. contain of CrVI (mg/kg) and index of mass activity for radionuclides (Ra, Th, K) which are the most harmful. These factors can be evaluated by means of a supplementary tool, e.g. multi-criteriaanalysis, which improves and supports decision processes in the framework of construction bybuilding management, etc.

Support analysis for safety analysis development for CANDU nuclear power plant

International Nuclear Information System (INIS)

Bedreaga, L.; Florescu, Gh.; Apostol, M.; Nitoi, M.

2004-01-01

Probabilistic Safety Assessment analysis (PSA) is a technique used to assess the safety of a nuclear power plant. Assessments of the nuclear plant systems/components from safety point of view consist in accomplishment of a lot of support analyses that are the base for the main analysis, in order to evaluate the impact of occurrences of abnormal states for these systems. Evaluation of initiating events frequency and components failure rate is based on underlying probabilistic theory and mathematic statistics. Some of these analyses are detailed analyses and are known very well in PSA. There are also some analyses, named support analyses for PSA, which are very important but less applicable because they involve a huge human effort and hardware facilities to accomplish. The usual methods applicable in PSA such as input data extracted from the specific documentation (operation procedures, testing procedures, maintenance procedures and so on) or conservative evaluation provide a high level of uncertainty for both input and output data. The paper describes support analysis required to improve the certainty level in evaluation of reliability parameters and also in the final results (either risk, reliability or safety assessment). (author)

The Infinitesimal Jackknife with Exploratory Factor Analysis

Science.gov (United States)

Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

2012-01-01

The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

Factors Determining the Size of Sealing Clearance in Hydraulic Legs of Powered Supports

Directory of Open Access Journals (Sweden)

Buyalich Gennady

2017-01-01

Full Text Available The factors that directly influence the formation of a sealing clearance between the piston and the working cylinder in hydraulic legs of powered supports are considered in this article, the size thereof has a direct effect on the tightness of the legs and, as a result, on the safety of work at the production face. A detailed description of these factors is given, which is supported by the dependencies obtained from the results of finite element modeling of various types of legs under various strength and geometric parameters, external load types and locations in the support section. The problems of formation of radial deformations of a working cylinder loaded with working fluid pressure are considered, and their dependence on the level of this pressure and extension. Based on the simulation results, the mechanisms for the formation of additional clearances due to rod and cylinder misalignments are described, and the conditions and causes of the resonant phenomena development are given. The classification of these factors according to the degree of generalization and the functional interaction between each other is proposed.

Left ventricular wall motion abnormalities evaluated by factor analysis as compared with Fourier analysis

International Nuclear Information System (INIS)

Hirota, Kazuyoshi; Ikuno, Yoshiyasu; Nishikimi, Toshio

1986-01-01

Factor analysis was applied to multigated cardiac pool scintigraphy to evaluate its ability to detect left ventricular wall motion abnormalities in 35 patients with old myocardial infarction (MI), and in 12 control cases with normal left ventriculography. All cases were also evaluated by conventional Fourier analysis. In most cases with normal left ventriculography, the ventricular and atrial factors were extracted by factor analysis. In cases with MI, the third factor was obtained in the left ventricle corresponding to wall motion abnormality. Each case was scored according to the coincidence of findings of ventriculography and those of factor analysis or Fourier analysis. Scores were recorded for three items; the existence, location, and degree of asynergy. In cases of MI, the detection rate of asynergy was 94 % by factor analysis, 83 % by Fourier analysis, and the agreement in respect to location was 71 % and 66 %, respectively. Factor analysis had higher scores than Fourier analysis, but this was not significant. The interobserver error of factor analysis was less than that of Fourier analysis. Factor analysis can display locations and dynamic motion curves of asynergy, and it is regarded as a useful method for detecting and evaluating left ventricular wall motion abnormalities. (author)

Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

Science.gov (United States)

Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

2014-11-01

Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

Systems analysis support to the waste management technology center

International Nuclear Information System (INIS)

Rivera, A.L.; Osborne-Lee, I.W.; DePaoli, S.M.

1988-01-01

This paper describes a systems analysis concept being developed in support of waste management planning and analysis activities for Martin Marietta Energy Systems, Inc. (Energy Systems), sites. This integrated systems model serves as a focus for the accumulation and documentation of technical and economic information from current waste management practices, improved operations projects, remedial actions, and new system development activities. The approach is generic and could be applied to a larger group of sites. This integrated model is a source of technical support to waste management groups in the Energy Systems complex for integrated waste management planning and related technology assessment activities. This problem-solving methodology for low-level waste (LLW) management is being developed through the Waste Management Technology Center (WMTC) for the Low-Level Waste Disposal, Development, and Demonstration (LLWDDD) Program. In support of long-range planning activities, this capability will include the development of management support tools such as specialized systems models, data bases, and information systems. These management support tools will provide continuing support in the identification and definition of technical and economic uncertainties to be addressed by technology demonstration programs. Technical planning activities and current efforts in the development of this system analysis capability for the LLWDDD Program are presented in this paper

[Influencing factors for job satisfaction in train drivers in a railway bureau: an analysis of 1413 cases].

Science.gov (United States)

Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

2017-01-20

Objective: To investigate the influencing factors for job satisfaction in train drivers. Methods: In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support. Results: There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status ( P analysis revealed that job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores ( P analysis of variance showed that compared with the moderate and low job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores ( P job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support ( P job satisfaction group had a significantly higher score of self-esteem than the other two groups ( P analysis showed that the risk of job dissatisfaction in the drivers with low so-cial support and high daily stress was more than 2 times that in those with high social support and low daily stress ( OR =2.176 and 2.171) , and sleep disorders, effort, depressive symptom, low self-esteem, and role conflict were risk factors for job dissatisfaction ( OR =1.48-1.625). Conclusion: Occupational

Seismic damping factors of small bore piping as influenced by insulation and support elements

International Nuclear Information System (INIS)

Severud, L.K.; Anderson, M.J.; Barta, D.A.

1985-01-01

Seismic damping tests of a prototypical Liquid Metal Fast Breeder Reactor (LMFBR) small bore piping system is described, and measured transient responses to pulse excitations are reported. The test specimen was representative of a typical LMFBR insulated small bore piping system, and it was supported from a rigid test frame by prototypic dead weight supports, mechanical snubbers, and pipe clamps. Various support configurations were tested to assess the response sensitivity to insulation and other nonlinear support characteristics. Damping factors increased significantly due to the insulation and use of mechanical snubbers. Factors much higher than the magnitudes currently allowed in design by the USNRC Regulatory Guide 1.61, were found. This verified the design values, and it also pointed out the possibility of undue conservatism and costly overdesign resulting from use of the present design values

Seismic damping factors of small bore piping as influenced by insulation and support elements

International Nuclear Information System (INIS)

Severud, L.K.; Barta, D.A.

1983-01-01

Seismic damping tests of a prototypical Liquid Metal Fast Breeder Reactor (LMFBR) small bore piping system is described, and measured transient responses to pulse excitations are reported. The test specimen was representative of a typical LMFBR insulated small bore piping system, and it was supported from a rigid test frame by prototypic dead weight supports, mechanical snubbers, and pipe clamps. Various support configurations were tested to assess the response sensitivity to insulation and other nonlinear support characteristics. Damping factors increased significantly due to the insulation and use of mechanical snubbers. Factors much higher than the magnitudes currently allowed in design, by the USNRC Regulatory Guide 1.61, were found. This verified the design values but also pointed out the possibility of undue conservatism and costly overdesign resulting from use of the present design values

Internal and External Factors Affecting Teachers' Adoption of Formative Assessment to Support Learning

Science.gov (United States)

Izci, Kemal

2016-01-01

Assessment forms an important part of instruction. Assessment that aims to support learning is known as formative assessment and it contributes student's learning gain and motivation. However, teachers rarely use assessment formatively to aid their students' learning. Thus reviewing the factors that limit or support teachers' practices of…

Post Traumatic Stress Disorder/PTSD in adolescent victims of sexual abuse: resilience and social support as protection factors

Directory of Open Access Journals (Sweden)

Martine Hébert

2014-03-01

Full Text Available This analysis examined the contribution of personal, family (maternal and paternal support; sibling support and extra-familiar (peer support; other adults resilience to the prediction of clinical levels of PTSD symptoms in adolescents reporting sexual abuse. Controls were established for abuse-related variables (type of abuse, severity and multiple abuse in a representative sample of high schools students in the province of Quebec. A total of 15.2% of adolescent females and 4.4% adolescent males in high school reported a history of sexual abuse in childhood. Sexually abused adolescent females (27.8% were more likely than adolescent males (14.9% to achieve scores with high clinical levels of PTSD. Hierarchical logistic regression revealed that over and above the characteristics of the sexual abuse experienced, resilience factors (maternal and peer support contributed to the prediction of symptoms of PTSD attaining the clinical threshold. Alternative intervention and prevention practices geared to adolescent victims of sexual assault are discussed.

Lithuanian Population Aging Factors Analysis

Directory of Open Access Journals (Sweden)

Agnė Garlauskaitė

2015-05-01

Full Text Available The aim of this article is to identify the factors that determine aging of Lithuania’s population and to assess the influence of these factors. The article shows Lithuanian population aging factors analysis, which consists of two main parts: the first describes the aging of the population and its characteristics in theoretical terms. Second part is dedicated to the assessment of trends that influence the aging population and demographic factors and also to analyse the determinants of the aging of the population of Lithuania. After analysis it is concluded in the article that the decline in the birth rate and increase in the number of emigrants compared to immigrants have the greatest impact on aging of the population, so in order to show the aging of the population, a lot of attention should be paid to management of these demographic processes.

Sufficient Social Support as a Possible Preventive Factor against Fighting and Bullying in School Children.

Science.gov (United States)

Šmigelskas, Kastytis; Vaičiūnas, Tomas; Lukoševičiūtė, Justė; Malinowska-Cieślik, Marta; Melkumova, Marina; Movsesyan, Eva; Zaborskis, Apolinaras

2018-04-26

Background: This study aims to explore how sufficient social support can act as a possible preventive factor against fighting and bullying in school-aged children in 9 European countries. Methods : Data for this study were collected during the 2013/2014 Health Behaviour in School-aged Children (HBSC) survey. The sample consisted of 9 European countries, involving 43,667 school children in total, aged 11, 13 and 15 years. The analysed data focus on social context (relations with family, peers, and school) as well as risk behaviours such as smoking, drunkenness, fighting and bullying in adolescents. The relationships between social support and violent behaviour variables were estimated using multiple regression models and multivariate analyses. Results : Bullying, across 9 countries, was more prevalent than fighting, except for Armenia, Israel, and Poland. The prevalence among countries differed considerably, with fighting being most expressed in Armenia and bullying—in Latvia and Lithuania. The strongest risk factors for bullying and fighting were male gender (less expressed for bullying), smoking and alcohol consumption. In addition, for bullying the social support was similarly strong factor like above-mentioned factors, while for fighting—less significant, but still independent. All forms of social support were significantly relate with lower violent behaviour of school children, and family support was associated most strongly. Regardless the socioeconomic, historical, and cultural differences among selected countries, the enhancement and reinforcement of the social support from possible many different resources should be taken into consideration in prevention programs against school violence behaviours.

CRITICAL SUCCESS FACTORS FOR IMPLEMENTING LEAN PRACTICES IN IT SUPPORT SERVICES

Directory of Open Access Journals (Sweden)

Goutam Kundu

2012-12-01

Full Text Available Many studies have been done to identify the critical success factors (CSFs in for successful lean implementation in the manufacturing firms. But, till date, no systematic study has been done to identify the CSFs from the perspective of lean implementation in IT support service sector. This paper aims to address this area. A detailed literature review was undertaken to identify CSFs for lean implementation in manufacturing and services context and to consider their applicability to the IT support services sector. This paper is based on a conceptual discussion of CSFs as applied to the IT support services sector. The authors proposed a set of CSFs which is believed to be suitable for IT support service enterpri ses. The relevance of CSFs will need to be tested and qualitative research is needed to inform further work. The proposed CSFs are aimed at being useful to IT support services sector as a guideline, so as to ensure a positive outcome of the lean implementation process in IT support services sector.

Severe accident analysis methodology in support of accident management

International Nuclear Information System (INIS)

Boesmans, B.; Auglaire, M.; Snoeck, J.

1997-01-01

The author addresses the implementation at BELGATOM of a generic severe accident analysis methodology, which is intended to support strategic decisions and to provide quantitative information in support of severe accident management. The analysis methodology is based on a combination of severe accident code calculations, generic phenomenological information (experimental evidence from various test facilities regarding issues beyond present code capabilities) and detailed plant-specific technical information

Stress analysis on a PWR pressure vessel support structure

International Nuclear Information System (INIS)

Cruz, J.R.B.; Mattar Neto, M.; Jesus Miranda, C.A. de.

1992-01-01

The paper presents the stress analysis of a research PWR vessel support structure. Different geometries and thermal boundary conditions are evaluated. The finite element analysis is performed using ANSYS program. The ASME Section III criteria are applied for the stress verification and the following points are discussed: stress classification and linearization; jurisdictional boundary between ASME Subsection NB (Class 1 Components) and Subsection NF (Component Supports). (author)

Social support as a protective factor for depression among women caring for children in HIV-endemic South Africa.

Science.gov (United States)

Casale, Marisa; Wild, Lauren; Cluver, Lucie; Kuo, Caroline

2015-02-01

Social support has been shown to be a protective resource for mental health among chronically ill adults and caregiver populations. However, to date no known studies have quantitatively explored the relationship between social support and depression among women caring for children in HIV-endemic Southern Africa, although they represent a high risk population for mental health conditions. Using data from a household survey with 2,199 adult female caregivers of children, living in two resource-deprived high HIV-prevalence South African communities, we conducted hierarchical logistic regression analysis with interaction terms to assess whether social support had a main effect or stress-buffering effect on depression. Findings provide evidence of stress-buffering of non-HIV-related chronic illness, but not HIV-related illness. Results reinforce the importance of social support for the mental health of chronically ill caregivers, and suggest that factors related to the specific nature of HIV/AIDS may be hindering the potential stress-buffering effects of social support among people living with the disease. Implications for future research and interventions are discussed.

A Factor Analysis of The Social Interest Index--Revised.

Science.gov (United States)

Zarski, John J.; And Others

1983-01-01

Factor analyzed the Social Interest Index-Revised (SII-R), which measures levels of social interest attained in each of four life task areas. Four factors (N=308) were defined, i.e., a self-significance factor, a love factor, a friendship factor, and a work factor. Results support the empirical validity of the scale. (Author/PAS)

Spent nuclear fuel project, Cold Vacuum Drying Facility human factors engineering (HFE) analysis: Results and findings

International Nuclear Information System (INIS)

Garvin, L.J.

1998-01-01

This report presents the background, methodology, and findings of a human factors engineering (HFE) analysis performed in May, 1998, of the Spent Nuclear Fuels (SNF) Project Cold Vacuum Drying Facility (CVDF), to support its Preliminary Safety Analysis Report (PSAR), in responding to the requirements of Department of Energy (DOE) Order 5480.23 (DOE 1992a) and drafted to DOE-STD-3009-94 format. This HFE analysis focused on general environment, physical and computer workstations, and handling devices involved in or directly supporting the technical operations of the facility. This report makes no attempt to interpret or evaluate the safety significance of the HFE analysis findings. The HFE findings presented in this report, along with the results of the CVDF PSAR Chapter 3, Hazards and Accident Analyses, provide the technical basis for preparing the CVDF PSAR Chapter 13, Human Factors Engineering, including interpretation and disposition of findings. The findings presented in this report allow the PSAR Chapter 13 to fully respond to HFE requirements established in DOE Order 5480.23. DOE 5480.23, Nuclear Safety Analysis Reports, Section 8b(3)(n) and Attachment 1, Section-M, require that HFE be analyzed in the PSAR for the adequacy of the current design and planned construction for internal and external communications, operational aids, instrumentation and controls, environmental factors such as heat, light, and noise and that an assessment of human performance under abnormal and emergency conditions be performed (DOE 1992a)

Factor Economic Analysis at Forestry Enterprises

Directory of Open Access Journals (Sweden)

M.Yu. Chik

2018-03-01

Full Text Available The article studies the importance of economic analysis according to the results of research of scientific works of domestic and foreign scientists. The calculation of the influence of factors on the change in the cost of harvesting timber products by cost items has been performed. The results of the calculation of the influence of factors on the change of costs on 1 UAH are determined using the full cost of sold products. The variable and fixed costs and their distribution are allocated that influences the calculation of the impact of factors on cost changes on 1 UAH of sold products. The paper singles out the general results of calculating the influence of factors on cost changes on 1 UAH of sold products. According to the results of the analysis, the list of reserves for reducing the cost of production at forest enterprises was proposed. The main sources of reserves for reducing the prime cost of forest products at forest enterprises are investigated based on the conducted factor analysis.

Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An Examination of Four Alternative Models

Directory of Open Access Journals (Sweden)

Hossein Bevrani, PhD

2011-09-01

Full Text Available Objective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM, proposed by Earp.Method: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. Confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian adaptation of SAM.Results: As expected, the second order model provided a better fit to the data than the three alternative models. Conclusions: Hence, SAM provides an equally valid measure for use among college students. The study both expands and adds support to the existing body of math anxiety literature.

Analysis of the Main Factors Influencing Food Production in China Based on Time Series Trend Chart

Institute of Scientific and Technical Information of China (English)

Shuangjin; WANG; Jianying; LI

2014-01-01

Based on the annual sample data on food production in China since the reform and opening up,we select 8 main factors influencing the total food production( growing area,application rate of chemical fertilizer,effective irrigation area,the affected area,total machinery power,food production cost index,food production price index,financial funds for supporting agriculture,farmers and countryside),and put them into categories of material input,resources and environment,and policy factors. Using the factor analysis,we carry out the multi-angle analysis of these typical influencing factors one by one through the time series trend chart. It is found that application rate of chemical fertilizer,the growing area of food crops and drought-affected area become the key factors affecting food production. On this basis,we set forth the corresponding recommendations for improving the comprehensive food production capacity.

Support system for Neutron Activation Analysis

International Nuclear Information System (INIS)

Sasajima, Fumio; Ohtomo, Akitoshi; Sakurai, Fumio; Onizawa, Koji

1999-01-01

In the research reactor of JAERI, the Neutron Activation Analysis (NAA) has been utilized as a major part of an irradiation usage. To utilize NAA, research participants are always required to learn necessary technique. Therefore, we started to examine a support system that will enable to carry out INAA easily even by beginners. The system is composed of irradiation device, gamma-ray spectrometer and data analyzing instruments. The element concentration is calculated by using KAYZERO/SOLCOI software with the K 0 standardization method. In this paper, we review on a construction of this INAA support system in JRR-3M of JAERI. (author)

The role of supervisor emotional support on individual job satisfaction: A multilevel analysis.

Science.gov (United States)

Pohl, Sabine; Galletta, Maura

2017-02-01

Supervisor emotional support is a strong determinant of job satisfaction. There is no study examining the effect of supervisor emotional support at the group level on job satisfaction. Multilevel statistical techniques can help disentangle the effects of subjective assessments from those of group factors. The study's aim was to examine the moderating role of supervisor emotional support (group-level variable) on the relationship between work engagement and job satisfaction (individual-level variables). A cross-sectional study was performed in 39units from three Belgian hospitals. A total of 323 nurses completed a self-reported questionnaire. We carried out a multilevel analysis by using Hierarchical Linear Modeling. The results showed that the cross-level interaction was significant. Hence, at individual-level, the nurses with high levels of work engagement showed high levels of job satisfaction and this relationship was stronger when supervisor emotional support at group-level was high. Contextual differences among groups had an impact on the form of the work engagement-job satisfaction relationship. This relationship between work engagement and job satisfaction is an individual and group level phenomenon. Ways to enhance emotional supervisor support include training supervisors in providing support and enhancing communication between nurses and supervisors. Copyright © 2016 Elsevier Inc. All rights reserved.

Risk Factors for Post-stroke Depression: A Meta-analysis

Directory of Open Access Journals (Sweden)

Yu Shi

2017-07-01

Full Text Available Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD, as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent.Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine.Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016.Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software.Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (<70 years, neuroticism, family history, severity of stroke, and level of handicap. Social support was a protective factor for PSD.Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation.

Cultural factors and social support related to breastfeeding among immigrant mothers in Taipei City, Taiwan.

Science.gov (United States)

Chen, Tzu-Ling; Tai, Chen-Jei; Chu, Yu-Roo; Han, Kuo-Chiang; Lin, Kuan-Chia; Chien, Li-Yin

2011-02-01

The objectives of this study were to identify cultural factors (including acculturation and breastfeeding cultures in subjects' native countries and those in mainstream Taiwanese society) and social support related to breastfeeding among immigrant mothers in Taiwan. This study was a cross-sectional survey performed from October 2007 through January 2008. The study participants were 210 immigrant mothers living in Taipei City. The prevalence of exclusive and partial breastfeeding at 3 months postpartum was 59.0% and 14.3%, respectively. Logistic regression analysis revealed that breastfeeding experience among mothers-in-law and the perceived level of acceptance of breastfeeding in Taiwan were positively associated with breastfeeding at 3 months postpartum. Immigrant women with a higher level of household activity support were less likely to breastfeed. Immigrant mothers in Taiwan usually come from cultures with a higher acceptance level for breastfeeding; however, their breastfeeding practices are more likely to be influenced by the mainstream culture in Taiwan.

Factors Predicting Sustainability of the Schoolwide Positive Behavior Intervention Support Model

Science.gov (United States)

Chitiyo, Jonathan; May, Michael E.

2018-01-01

The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…

Students' motivation to study dentistry in Malaysia: an analysis using confirmatory factor analysis.

Science.gov (United States)

Musa, Muhd Firdaus Che; Bernabé, Eduardo; Gallagher, Jennifer E

2015-06-12

Malaysia has experienced a significant expansion of dental schools over the past decade. Research into students' motivation may inform recruitment and retention of the future dental workforce. The objectives of this study were to explore students' motivation to study dentistry and whether that motivation varied by students' and school characteristics. All 530 final-year students in 11 dental schools (6 public and 5 private) in Malaysia were invited to participate at the end of 2013. The self-administered questionnaire, developed at King's College London, collected information on students' motivation to study dentistry and demographic background. Responses on students' motivation were collected using five-point ordinal scales. Confirmatory factor analysis (CFA) was used to evaluate the underlying structure of students' motivation to study dentistry. Multivariate analysis of variance (MANOVA) was used to compare factor scores for overall motivation and sub-domains by students' and school characteristics. Three hundred and fifty-six final-year students in eight schools (all public and two private) participated in the survey, representing an 83% response rate for these schools and 67% of all final-year students nationally. The majority of participants were 24 years old (47%), female (70%), Malay (56%) and from middle-income families (41%) and public schools (78%). CFA supported a model with five first-order factors (professional job, healthcare and people, academic, careers advising and family and friends) which were linked to a single second-order factor representing overall students' motivation. Academic factors and healthcare and people had the highest standardized factor loadings (0.90 and 0.71, respectively), suggesting they were the main motivation to study dentistry. MANOVA showed that students from private schools had higher scores for healthcare and people than those in public schools whereas Malay students had lower scores for family and friends than those

[Habitat factor analysis for Torreya grandis cv. Merrillii based on spatial information technology].

Science.gov (United States)

Wang, Xiao-ming; Wang, Ke; Ao, Wei-jiu; Deng, Jin-song; Han, Ning; Zhu, Xiao-yun

2008-11-01

Torreya grandis cv. Merrillii, a tertiary survival plant, is a rare tree species of significant economic value and expands rapidly in China. Its special habitat factor analysis has the potential value to provide guide information for its planting, management, and sustainable development, because the suitable growth conditions for this tree species are special and strict. In this paper, the special habitat factors for T. grandis cv. Merrillii in its core region, i.e., in seven villages of Zhuji City, Zhejiang Province were analyzed with Principal Component Analysis (PCA) and a series of data, such as IKONOS image, Digital Elevation Model (DEM), and field survey data supported by the spatial information technology. The results showed that T. grandis cv. Merrillii exhibited high selectivity of environmental factors such as elevation, slope, and aspect. 96.22% of T. grandis cv. Merrillii trees were located at the elevation from 300 to 600 m, 97.52% of them were found to present on the areas whose slope was less than 300, and 74.43% of them distributed on sunny and half-sunny slopes. The results of PCA analysis indicated that the main environmental factors affecting the habitat of T. grandis cv. Merrillii were moisture, heat, and soil nutrients, and moisture might be one of the most important ecological factors for T. grandis cv. Merrillii due to the unique biological and ecological characteristics of the tree species.

Characterization of solid polymer dispersions of active pharmaceutical ingredients by 19F MAS NMR and factor analysis

Czech Academy of Sciences Publication Activity Database

Urbanová, Martina; Brus, Jiří; Šeděnková, Ivana; Policianová, Olivia; Kobera, Libor

2013-01-01

Roč. 100, 1 January (2013), s. 59-66 ISSN 1386-1425 R&D Projects: GA ČR GPP106/11/P426; GA MŠk 2B08021 Institutional research plan: CEZ:AV0Z40500505 Institutional support: RVO:61389013 Keywords : solid-state NMR * factor analysis * 19F MAS NMR Subject RIV: FR - Pharmacology ; Medidal Chemistry Impact factor: 2.129, year: 2013

A relational approach to support software architecture analysis

NARCIS (Netherlands)

Feijs, L.M.G.; Krikhaar, R.L.; van Ommering, R.C.

1998-01-01

This paper reports on our experience with a relational approach to support the analysis of existing software architectures. The analysis options provide for visualization and view calculation. The approach has been applied for reverse engineering. It is also possible to check concrete designs

Sufficient Social Support as a Possible Preventive Factor against Fighting and Bullying in School Children

Directory of Open Access Journals (Sweden)

Kastytis Šmigelskas

2018-04-01

Full Text Available Background: This study aims to explore how sufficient social support can act as a possible preventive factor against fighting and bullying in school-aged children in 9 European countries. Methods: Data for this study were collected during the 2013/2014 Health Behaviour in School-aged Children (HBSC survey. The sample consisted of 9 European countries, involving 43,667 school children in total, aged 11, 13 and 15 years. The analysed data focus on social context (relations with family, peers, and school as well as risk behaviours such as smoking, drunkenness, fighting and bullying in adolescents. The relationships between social support and violent behaviour variables were estimated using multiple regression models and multivariate analyses. Results: Bullying, across 9 countries, was more prevalent than fighting, except for Armenia, Israel, and Poland. The prevalence among countries differed considerably, with fighting being most expressed in Armenia and bullying—in Latvia and Lithuania. The strongest risk factors for bullying and fighting were male gender (less expressed for bullying, smoking and alcohol consumption. In addition, for bullying the social support was similarly strong factor like above-mentioned factors, while for fighting—less significant, but still independent. All forms of social support were significantly relate with lower violent behaviour of school children, and family support was associated most strongly. Regardless the socioeconomic, historical, and cultural differences among selected countries, the enhancement and reinforcement of the social support from possible many different resources should be taken into consideration in prevention programs against school violence behaviours.

A critical analysis of the influence of start-up factors in small businesses and entrepreneurial ventures in SA

Directory of Open Access Journals (Sweden)

J. J. Van Vuuren

2007-12-01

Full Text Available Purpose: This paper focuses on a critical analysis of the influence of start-up factors in small businesses and entrepreneurial ventures in Gauteng, a province in South Africa. Problem investigated: Owing to the low economic growth, high unemployment, and an unsatisfactory level of poverty in South Africa, entrepreneurship becomes a critical solution for the starting and developing of small businesses. Although the South African Government are constantly improving in eliminating barriers to potential start-ups, South Africa's TEA is not up to standard if it wants to sustain economic growth rates that will create wealth for everybody. Various factors influence and play a role in the establishment and operation of small businesses and entrepreneurial ventures. Design/methodology/approach: An ex-post facto, formal research design was used as respondents were requested to indicate on a four-point scale how important they deemed 37 items in a structured personal interview. A sample of 312 elements was included in the research. The data was analysed through a factor analysis and analysis of variance. Findings: Four factors were identified that influence the start-up of small businesses and entrepreneurial ventures. They are: personal management and involvement; role models; effective time management; and support from partners and advisors. It is very clear that there is a definite difference in the needs and factors influencing: women and male entrepreneurs; the age of entrepreneurs and the stage of the business in its life cycle.Value of research: By analysing the factors that influence start-up, it can make potential entrepreneurs aware of theimportance of considering these factors in the start-up and growth of their businesses. Conclusion: The findings of this research are in line with similar international research (Mazzarol et al., 1999 and Deakins & Freel, 2003 on various aspects influencing the start-up of businesses. Although a lot of support

Engineering, Analysis and Technology FY 1995 Site Support Program Plan

International Nuclear Information System (INIS)

Suyama, R.M.

1994-09-01

The vision of the Engineering, Analysis and Technology organization is to be recognized as the cost-effective supplier of specialized, integrated, multi-disciplined engineering teams to support Hanford missions. The mission of the Engineering, Analysis and Technology organization is to provide centralized engineering services. These services are focused on supplying technical design, analytical engineering and related support services that support Hanford's environmental restoration mission. These services include engineering analysis, design and development of systems and engineered equipment, supplying multi-disciplined engineering teams to all Hanford programs and project organizations, engineering document release, and site-wide leadership in the development and implementation of engineering standards, engineering practices, and configuration management processes

Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

International Nuclear Information System (INIS)

Thomassen, Mads; Tan, Qihua; Kruse, Torben A

2008-01-01

Metastasis is believed to progress in several steps including different pathways but the determination and understanding of these mechanisms is still fragmentary. Microarray analysis of gene expression patterns in breast tumors has been used to predict outcome in recent studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription factors involved in metastasis by use of gene expression data sets. We have analyzed 8 publicly available gene expression data sets. A global approach, 'gene set enrichment analysis' as well as an approach focusing on a subset of significantly differently regulated genes, GenMAPP, has been applied to rank pathway gene sets according to differential regulation in metastasizing tumors compared to non-metastasizing tumors. Meta-analysis has been used to determine overrepresentation of pathways and transcription factors targets, concordant deregulated in metastasizing breast tumors, in several data sets. The major findings are up-regulation of cell cycle pathways and a metabolic shift towards glucose metabolism reflected in several pathways in metastasizing tumors. Growth factor pathways seem to play dual roles; EGF and PDGF pathways are decreased, while VEGF and sex-hormone pathways are increased in tumors that metastasize. Furthermore, migration, proteasome, immune system, angiogenesis, DNA repair and several signal transduction pathways are associated to metastasis. Finally several transcription factors e.g. E2F, NFY, and YY1 are identified as being involved in metastasis. By pathway meta-analysis many biological mechanisms beyond major characteristics such as proliferation are identified. Transcription factor analysis identifies a number of key factors that support central pathways. Several previously proposed treatment targets are identified and several new pathways that may

Development and evaluation of a computerbased instrument supporting event analysis in NPP. Final report

International Nuclear Information System (INIS)

Szameitat, S.

2002-11-01

Information technologies (IT) in safety management are seen as opportunity to control and reduce risks. The processing of safety-critical event information, a central function of safety management, could be more efficient using computers. But organization structures are different, the processes of experience transfer are complex and the opportunities of IT are broad. To implement a support system is to question about design criteria of computer support for an event-based safety management system (eSMS). Two studies were conducted. Study 1 compares the organizational, technical and legal conditions for Safety Management in the German Nuclear Industry and the Norwegian Offshore Industry. It could identify design criteria, which independent from the operator influence the eSMS. Study 2 compares the eSMS of different nuclear power plants analyzing the organization structures and processes. Those internal and external criteria have a significant influence on a efficient design of a system support for eSMS. The third study makes the options and impact of computer support on experience transfer in eSMS as subject of discussion. For this purpose a simulation environment has been created. Groups investigated typical event scenarios from a nuclear power plant for contributing factors. The communication medium has been manipulated (face-to-face versus computer-mediated). Results of 15 groups indicate, that the collection of event information was promoted by computer-mediated communication. This is the foundation of the identification of contributing factors. The depth of analysis has not been influenced. Computer mediation hampers the learning of facts. IT can support safety management effectively. (orig.) [de

First course in factor analysis

CERN Document Server

Comrey, Andrew L

2013-01-01

The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of

Coping support factors among Australians affected by terrorism: 2002 Bali bombing survivors speak.

Science.gov (United States)

Stevens, Garry J; Dunsmore, Julie C; Agho, Kingsley E; Taylor, Melanie R; Jones, Alison L; Raphael, Beverley

2013-12-16

To examine terrorism survivors' perceptions of factors likely to promote coping and recovery, and to determine whether coping supports vary according to demographic, physical and mental health, incident-exposure and bereavement variables. Individuals directly exposed to and/or bereaved by the 2002 Bali bombings and who had participated in a New South Wales Health therapeutic support program completed cross-sectional telephone interviews during July-November 2010. Spoken passages were categorised into coping support themes. Advocated supports were then examined by demographic, physical and mental health, incident-exposure and bereavement variables. Based on their experiences, respondents identified personal, social and service-related factors that they believed would optimally support future survivors of terrorism. Of the 81 people contacted, 55 (68%) participated, providing a total of 114 comments. Thirty-two respondents were women, and 54 had lost relatives or friends in the bombing. Mean age was 50 years (range, 20-73 years). Four meaningful coping support themes emerged, with excellent inter-rater reliability: professional help and counselling; social support; proactive government response and policy; and personal coping strategies. Women were significantly more likely to advocate the need for proactive government response (P = 0.03). Men were more likely to endorse the use of personal coping strategies (P terrorism-affected groups. Male survivors may benefit more from mental health interventions that initially build on problem-focused forms of coping, including brief education about reactions and periodic check-ups. Proactive government health and support services that allow simplified and longer-term access were consistently identified as priority areas.

QA CLASSIFICATION ANALYSIS OF GROUND SUPPORT SYSTEMS

International Nuclear Information System (INIS)

D. W. Gwyn

1996-01-01

The purpose and objective of this analysis is to determine if the permanent function Ground Support Systems (CI: BABEEOOOO) are quality-affecting items and if so, to establish the appropriate Quality Assurance (QA) classification

Better economics: supporting adaptation with stakeholder analysis

Energy Technology Data Exchange (ETDEWEB)

Chambwera, Muyeye; Zou, Ye; Boughlala, Mohamed

2011-11-15

Across the developing world, decision makers understand the need to adapt to climate change — particularly in agriculture, which supports a large proportion of low-income groups who are especially vulnerable to impacts such as increasing water scarcity or more erratic weather. But policymakers are often less clear about what adaptation action to take. Cost-benefit analyses can provide information on the financial feasibility and economic efficiency of a given policy. But such methods fail to capture the non-monetary benefits of adaptation, which can be even more important than the monetary ones. Ongoing work in Morocco shows how combining cost-benefit analysis with a more participatory stakeholder analysis can support effective decision making by identifying cross-sector benefits, highlighting areas of mutual interest among different stakeholders and more effectively assessing impacts on adaptive capacity.

Exploring the risk factors of suicidal ideation among the seniors in Shandong, China: A path analysis.

Science.gov (United States)

Ge, Dandan; Sun, Long; Zhou, Chengchao; Qian, Yangyang; Zhang, Li; Medina, Alexis

2017-01-01

Suicide is a global public health problem that has a significant negative influence on individuals, families and the society. The objective of this study is to explore the risk factors associated with suicidal ideation among the elderly in Shandong Province, China. A total of 3313 participants (60+) of Shandong Province, China were included in this study. Suicidal ideation was assessed by using questions from the NCS (National Comorbidity Survey). Multiple logistic regression analysis was performed to examine the factors associated with suicidal ideation. Path analysis was conducted to test the direct and indirect association between factors and suicidal ideation. The prevalence of suicidal ideation among the seniors in Shandong, China was 4.2%. Depression had the strongest direct (β=0.303, p-valuesuicidal ideation. Social support (β=-0.040, p-valuesuicidal ideation. Depression was a mediator between life satisfaction, economic status, social support and suicidal ideation. The data used in this study was cross-sectional, and the relationship between identified factors and suicidal ideation cannot be interpreted as cause-effect. Depression was the strongest influencing factor of suicidal ideation among the elderly, followed by life satisfaction, economic status. Active intervention measures focusing on the depression screening and treatment both in urban and rural communities should be taken to prevent suicide. Copyright © 2016 Elsevier B.V. All rights reserved.

The Effects of Forearm Support on Upper Body for People in Front of Monitor: A Meta-Analysis.

Science.gov (United States)

Lyu, Jingtong; Wu, Xiaojing; Duan, Xin; Xiang, Zhou

2015-01-01

With the ever-growing number of people who work at visual display terminals, the work-related musculoskeletal disorders of the upper body are believed to be an important problem all over the world. The forearm support, which can keep the forearm and wrist in biomechanical posture, is a possible protective factor of the development of upper body syndrome. This meta-analysis examines the efficacy of forearm support in reducing upper body syndrome. The Cochrane Library, EMBASE, Ovid, ScienceDirect, SpringerLink, Google Scholar, CNKI database, and Wanfang database were searched from inception until May 29, 2013. Relevant studies were included after the screening of title, abstract, and the full text. Impact of bias was assessed independently by 2 authors. Four studies that met all the inclusion criteria were included finally. The combined results based on all studies suggested that statistically the forearm support had a nonsignificant effect on upper body syndrome (odds ratio [OR] = 0.70, 95% confidence interval [CI]: 0.49, 1.02). The result of subgroup analysis suggested that forearm support has a significant effect on neck or shoulder syndrome (OR = 0.70, 95% CI: 0.43, 1.14) and the effect on upper extremity syndrome (OR = 0.76, 95% CI: 0.49, 1.19) is not significant. This meta-analysis suggested that the forearm support had statistically nonsignificant effect on preventing upper body syndrome on the whole.

A sequential factorial analysis approach to characterize the effects of uncertainties for supporting air quality management

Science.gov (United States)

Wang, S.; Huang, G. H.; Veawab, A.

2013-03-01

This study proposes a sequential factorial analysis (SFA) approach for supporting regional air quality management under uncertainty. SFA is capable not only of examining the interactive effects of input parameters, but also of analyzing the effects of constraints. When there are too many factors involved in practical applications, SFA has the advantage of conducting a sequence of factorial analyses for characterizing the effects of factors in a systematic manner. The factor-screening strategy employed in SFA is effective in greatly reducing the computational effort. The proposed SFA approach is applied to a regional air quality management problem for demonstrating its applicability. The results indicate that the effects of factors are evaluated quantitatively, which can help decision makers identify the key factors that have significant influence on system performance and explore the valuable information that may be veiled beneath their interrelationships.

Multiple factor analysis by example using R

CERN Document Server

Pagès, Jérôme

2014-01-01

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

Conceptualizing age-friendly community characteristics in a sample of urban elders: an exploratory factor analysis.

Science.gov (United States)

Smith, Richard J; Lehning, Amanda J; Dunkle, Ruth E

2013-01-01

Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing US Environmental Protection Agency policy framework. From a sample of urban elders (n = 1,376), we identified 6 factors associated with demographic and health characteristics: access to business and leisure, social interaction, access to health care, neighborhood problems, social support, and community engagement. Future research should explore the effects of these factors across contexts and populations.

Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

Science.gov (United States)

Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

2016-10-01

Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

Organizational Creativity and IT-based Support

Directory of Open Access Journals (Sweden)

Celina M. Olszak

2016-05-01

Full Text Available The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1 what is the issue of organizational creativity and its IT-based support, (2 what is the demand for IT –based organizational creativity support; (3 what are the main determinants and barriers to IT-based organizational creativity support; and (4 what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues.

A component analysis of positive behaviour support plans.

Science.gov (United States)

McClean, Brian; Grey, Ian

2012-09-01

Positive behaviour support (PBS) emphasises multi-component interventions by natural intervention agents to help people overcome challenging behaviours. This paper investigates which components are most effective and which factors might mediate effectiveness. Sixty-one staff working with individuals with intellectual disability and challenging behaviours completed longitudinal competency-based training in PBS. Each staff participant conducted a functional assessment and developed and implemented a PBS plan for one prioritised individual. A total of 1,272 interventions were available for analysis. Measures of challenging behaviour were taken at baseline, after 6 months, and at an average of 26 months follow-up. There was a significant reduction in the frequency, management difficulty, and episodic severity of challenging behaviour over the duration of the study. Escape was identified by staff as the most common function, accounting for 77% of challenging behaviours. The most commonly implemented components of intervention were setting event changes and quality-of-life-based interventions. Only treatment acceptability was found to be related to decreases in behavioural frequency. No single intervention component was found to have a greater association with reductions in challenging behaviour.

Analysis of mineral phases in coal utilizing factor analysis

International Nuclear Information System (INIS)

Roscoe, B.A.; Hopke, P.K.

1982-01-01

The mineral phase inclusions of coal are discussed. The contribution of these to a coal sample are determined utilizing several techniques. Neutron activation analysis in conjunction with coal washability studies have produced some information on the general trends of elemental variation in the mineral phases. These results have been enhanced by the use of various statistical techniques. The target transformation factor analysis is specifically discussed and shown to be able to produce elemental profiles of the mineral phases in coal. A data set consisting of physically fractionated coal samples was generated. These samples were analyzed by neutron activation analysis and then their elemental concentrations examined using TTFA. Information concerning the mineral phases in coal can thus be acquired from factor analysis even with limited data. Additional data may permit the resolution of additional mineral phases as well as refinement of theose already identified

Close or renew? Factors affecting local community support for rebuilding nuclear power plants in the Czech Republic

International Nuclear Information System (INIS)

Frantál, Bohumil; Malý, Jiří

2017-01-01

Rebuilding and upgrading of existing nuclear power plants represent a great energy policy challenge today. In this paper, factors that affect local community support for the rebuilding of an existing nuclear power plant are explored using a regression analysis model. It is based on a survey involving nearly 600 residents of twelve municipalities located in the vicinity of the Dukovany power plant in the Czech Republic. Nearly two thirds of local population support the rebuilding of the plant. The support for rebuilding is not directly affected by distance of residence from the power plant or perceptions of its local economic impacts, but is more influenced by general perceptions of pros of nuclear power. Work in the power plant, perception of nuclear power as a clean energy contributing to climate change mitigation and negative attitude to the renewable energy development are strongest predictors of the support. In terms of energy policy implications, it seems that the education of the public and awareness of nuclear power plants as a clean, safe and landscape compatible system of energy production are more important for increasing acceptance of rebuilding projects than spatial distribution of economic benefits to local communities. - Highlights: • Predictors of support for nuclear power plant (NPP) rebuilding are explored. • Support is not affected by distance or perception of local economic impacts. • Support is affected by general perceptions of pros of NPPs. • Support is determined by perception of NPPs as a clean energy. • Support is correlated with a negative attitude to renewable energy promotion.

Understanding clinician attitudes towards implementation of guided self-help cognitive behaviour therapy for those who hear distressing voices: using factor analysis to test normalisation process theory.

Science.gov (United States)

Hazell, Cassie M; Strauss, Clara; Hayward, Mark; Cavanagh, Kate

2017-07-24

The Normalisation Process Theory (NPT) has been used to understand the implementation of physical health care interventions. The current study aims to apply the NPT model to a secondary mental health context, and test the model using exploratory factor analysis. This study will consider the implementation of a brief cognitive behaviour therapy for psychosis (CBTp) intervention. Mental health clinicians were asked to complete a NPT-based questionnaire on the implementation of a brief CBTp intervention. All clinicians had experience of either working with the target client group or were able to deliver psychological therapies. In total, 201 clinicians completed the questionnaire. The results of the exploratory factor analysis found partial support for the NPT model, as three of the NPT factors were extracted: (1) coherence, (2) cognitive participation, and (3) reflexive monitoring. We did not find support for the fourth NPT factor (collective action). All scales showed strong internal consistency. Secondary analysis of these factors showed clinicians to generally support the implementation of the brief CBTp intervention. This study provides strong evidence for the validity of the three NPT factors extracted. Further research is needed to determine whether participants' level of seniority moderates factor extraction, whether this factor structure can be generalised to other healthcare settings, and whether pre-implementation attitudes predict actual implementation outcomes.

Benefits, barriers and enablers of breastfeeding: factor analysis of population perceptions in Western Australia.

Directory of Open Access Journals (Sweden)

Alison Daly

Full Text Available OBJECTIVE: The objective of this study was to investigate knowledge and community perceptions of breastfeeding in Western Australia using a factor analysis approach. METHODS: Data were pooled from five Nutrition Monitoring Survey Series which included information on breastfeeding from 4,802 Western Australian adults aged 18-64 years. Tetrachoric factor analysis was conducted for data reduction and significant associations identified using logistic, ordinal and poisson regression analyses. RESULTS: Four factors were derived for benefits (it's natural, good nutrition, good for the baby, and convenience, barriers (breastfeeding problems, poor community acceptability, having to go back to work, and inconvenience and for enablers (breastfeeding education, community support, family support and not having to work. As assessed by standardized odds ratios the most important covariates across benefit factors were: importance of breastfeeding (ORs range from 1.22-1.44, female gender (ORs range from 0.80 to 1.46, being able to give a time for how long a baby should be breastfed (ORs range from 0.96 to 1.27 and education (less than high school to university completion (ORs range from 0.95 to 1.23; the most important covariate across barrier factors was being able to give a time for how long a baby should be breastfed (ORs range from 0.89 to 1.93; and the most important covariates across all enabling factors were education (ORs range from 1.14 to 1.32 and being able to give a time for how long a baby should be breastfed (ORs range from 1.17 to 1.42. CONCLUSIONS: Being female, rating breastfeeding as important, believing that babies should be breastfed for a period of time and education accounted for most of the statistically significant associations. The differences between male and female perceptions require investigation particularly in relation to returning to work.

Using stakeholder analysis to support moves towards universal coverage: lessons from the SHIELD project.

Science.gov (United States)

Gilson, Lucy; Erasmus, Ermin; Borghi, Jo; Macha, Janet; Kamuzora, Peter; Mtei, Gemini

2012-03-01

Stakeholder analysis is widely recommended as a tool for gathering insights on policy actor interests in, positions on, and power to influence, health policy issues. Such information is recognized to be critical in developing viable health policy proposals, and is particularly important for new health care financing proposals that aim to secure universal coverage (UC). However, there remain surprisingly few published accounts of the use of stakeholder analysis in health policy development generally, and health financing specifically, and even fewer that draw lessons from experience about how to do and how to use such analysis. This paper, therefore, aims to support those developing or researching UC reforms to think both about how to conduct stakeholder analysis, and how to use it to support evidence-informed pro-poor health policy development. It presents practical lessons and ideas drawn from experience of doing stakeholder analysis around UC reforms in South Africa and Tanzania, combined with insights from other relevant material. The paper has two parts. The first presents lessons of experience for conducting a stakeholder analysis, and the second, ideas about how to use the analysis to support policy design and the development of actor and broader political management strategies. Comparison of experience across South Africa and Tanzania shows that there are some commonalities concerning which stakeholders have general interests in UC reform. However, differences in context and in reform proposals generate differences in the particular interests of stakeholders and their likely positioning on reform proposals, as well as in their relative balance of power. It is, therefore, difficult to draw cross-national policy comparisons around these specific issues. Nonetheless, the paper shows that cross-national policy learning is possible around the approach to analysis, the factors influencing judgements and the implications for, and possible approaches to, management

A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis

Science.gov (United States)

Wang, Jun; Wang, Yang; Zeng, Hui

2016-01-01

A key issue to address in synthesizing spatial data with variable-support in spatial analysis and modeling is the change-of-support problem. We present an approach for solving the change-of-support and variable-support data fusion problems. This approach is based on geostatistical inverse modeling that explicitly accounts for differences in spatial support. The inverse model is applied here to produce both the best predictions of a target support and prediction uncertainties, based on one or more measurements, while honoring measurements. Spatial data covering large geographic areas often exhibit spatial nonstationarity and can lead to computational challenge due to the large data size. We developed a local-window geostatistical inverse modeling approach to accommodate these issues of spatial nonstationarity and alleviate computational burden. We conducted experiments using synthetic and real-world raster data. Synthetic data were generated and aggregated to multiple supports and downscaled back to the original support to analyze the accuracy of spatial predictions and the correctness of prediction uncertainties. Similar experiments were conducted for real-world raster data. Real-world data with variable-support were statistically fused to produce single-support predictions and associated uncertainties. The modeling results demonstrate that geostatistical inverse modeling can produce accurate predictions and associated prediction uncertainties. It is shown that the local-window geostatistical inverse modeling approach suggested offers a practical way to solve the well-known change-of-support problem and variable-support data fusion problem in spatial analysis and modeling.

Citation analysis of Canadian psycho-oncology and supportive care researchers.

Science.gov (United States)

Hack, Thomas F; Crooks, Dauna; Plohman, James; Kepron, Emma

2014-02-01

The purpose of this study was to conduct a historical review of psycho-oncology and supportive care research in Canada using citation analysis and to review the clinical impact of the research conducted by the most highly cited researchers. The lifetime journal publication records of 109 psycho-oncology and supportive care researchers in Canada were subject to citation analysis using the Scopus database, based on citations since 1996 of articles deemed relevant to psychosocial oncology and supportive care, excluding self-citations. Three primary types of analysis were performed for each individual: the number of citations for each journal publication, a summative citation count of all published articles, and the Scopus h-index. The top 20 psycho-oncology/supportive care researchers for each of five citation categories are presented: the number of citations for all publications; the number of citations for first-authored publications; the most highly cited first-authored publications; the Scopus h-index for all publications; and the Scopus h-index for first-authored publications. The three most highly cited Canadian psycho-oncology researchers are Dr. Kerry Courneya (University of Alberta), Dr. Lesley Degner, (University of Manitoba), and Dr. Harvey Chochinov (University of Manitoba). Citation analysis is useful for examining the research performance of psycho-oncology and supportive care researchers and identifying leaders among them.

[Analysis of influential factors for job burnout among managers in a joint venture in Guangzhou, China].

Science.gov (United States)

Lin, Qiu-hong; Jiang, Chao-qiang; Liu, Yi-min; Guo, Jing-yi; Lam, Tai Hing

2013-12-01

To investigate the influential factors for job burnout among the managerial staff in a Sino-Japanese joint venture automobile manufacturer in Guangzhou, China. A total of 288 managers in a Sino-Japanese joint venture automobile manufacturer were surveyed using the Occupational Stress Indicator, Maslach Burnout Inventory (MBI), Eysenck Personality Questionnaire, Simplified Coping Style Questionnaire, and Social Support Rating Scale. On the depersonalization dimension, the male managers had significantly higher scores than the female managers. The scores of emotion exhaustion and depersonalization of MBI showed significant differences among the managers with different levels of occupational stress. The path analysis showed that occupational stress, neuroticism, and psychoticism had negative effects on emotion exhaustion, while job satisfaction and utilization of social support had direct positive effects on emotion exhaustion. Occupational stress, psychoticism, and passive coping style had direct negative effects on depersonalization, while job satisfaction, objective support, and utilization of social support had positive effects on depersonalization. Job satisfaction and active coping style had positive effects on sense of personal accomplishment, while passive coping style had a negative effect on sense of personal accomplishment. Personality exerted its effect on social support through coping style and thus on job satisfaction and job burnout. Male managers have a greater propensity to depersonalization than their female counterparts. High occupational stress is a risk factor for job burnout. Personality, social support, and coping style are influential factors for job burnout.

Factors associated with parent support for condom education and availability.

Science.gov (United States)

AugsJoost, Brett; Jerman, Petra; Deardorff, Julianna; Harley, Kim; Constantine, Norman A

2014-04-01

Expanding condom-related knowledge and skills and reducing barriers to condom use have the potential to help reduce pregnancies and sexually transmitted infections among youth. These goals are sometimes addressed through condom education and availability (CEA) programs as part of sexuality education in school. Parents are a key constituency in efforts to implement such programs. A representative statewide sample of households with children (N = 1,093) in California was employed to examine parent support for CEA and the potential influences of demographics (gender, age, and Hispanic ethnicity), sociodemographics (education, religious affiliation, religious service attendance, and political ideology), and condom-related beliefs (belief in condom effectiveness and belief that teens who use condoms during sex are being responsible) on parent support for CEA. The parents in our sample reported a high level of support for CEA (M = 3.23 on a 4-point scale) and believing in a high level of condom effectiveness (M = 3.36 on a 4-point scale). In addition, 84% of the parents agreed that teens who use condoms during sex are being responsible. Hierarchical regression analyses showed that parents who were younger, Hispanic, with a lower educational attainment, without a religious affiliation, less religiously observant, and politically liberal were more supportive of CEA. After controlling for these demographic and sociodemographic factors, condom effectiveness and responsibility beliefs each added independently to the predictability of parent support for CEA. These findings suggest that parent education related to condom effectiveness could help increase support for school-based CEA programs.

The verification of neutron activation analysis support system (cooperative research)

Energy Technology Data Exchange (ETDEWEB)

Sasajima, Fumio; Ichimura, Shigeju; Ohtomo, Akitoshi; Takayanagi, Masaji [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment; Sawahata, Hiroyuki; Ito, Yasuo [Tokyo Univ. (Japan). Research Center for Nuclear Science and Technology; Onizawa, Kouji [Radiation Application Development Association, Tokai, Ibaraki (Japan)

2000-12-01

Neutron activation analysis support system is the system in which even the user who has not much experience in the neutron activation analysis can conveniently and accurately carry out the multi-element analysis of the sample. In this verification test, subjects such functions, usability, precision and accuracy of the analysis and etc. of the neutron activation analysis support system were confirmed. As a method of the verification test, it was carried out using irradiation device, measuring device, automatic sample changer and analyzer equipped in the JRR-3M PN-3 facility, and analysis software KAYZERO/SOLCOI based on the k{sub 0} method. With these equipments, calibration of the germanium detector, measurement of the parameter of the irradiation field and analysis of three kinds of environmental standard sample were carried out. The k{sub 0} method adopted in this system is primarily utilized in Europe recently, and it is the analysis method, which can conveniently and accurately carried out the multi-element analysis of the sample without requiring individual comparison standard sample. By this system, total 28 elements were determined quantitatively, and 16 elements with the value guaranteed as analytical data of the NIST (National Institute of Standards and Technology) environment standard sample were analyzed in the accuracy within 15%. This report describes content and verification result of neutron activation support system. (author)

Stress analysis of primary pipe rigid support of the in pile loop

International Nuclear Information System (INIS)

Hasibuan, Dj.

1998-01-01

Base on requirement of the safety analysis report and operation planning preparation on the in pile loop by using the fuel bundle in the test section, the stress analysis of primary pipe support has been done. The analysis was performed for the 3 (three) points of pipe support, which are chosen by random selection, i.e.: GU 2001, GU 2002, and GU 2331. The analysis result showed that the maximum allowable stress was greater then the actual stress. It is concluded that the existing supports fulfil the safety requirement

Seismic analysis of piping systems subjected to multiple support excitations

International Nuclear Information System (INIS)

Sundararajan, C.; Vaish, A.K.; Slagis, G.C.

1981-01-01

The paper presents the results of a comparative study between the multiple response spectrum method and the time-history method for the seismic analysis of nuclear piping systems subjected to different excitation at different supports or support groups. First, the necessary equations for the above analysis procedures are derived. Then, three actual nuclear piping systems subjected to single and multiple excitations are analyzed by the different methods, and extensive comparisons of the results (stresses) are made. Based on the results, it is concluded that the multiple response spectrum analysis gives acceptable results as compared to the ''exact'', but much more costly, time-history analysis. 6 refs

Assessing social support among South Asians: the multidimensional scale of perceived social support.

Science.gov (United States)

Tonsing, Kareen; Zimet, Gregory D; Tse, Samson

2012-06-01

The psychometric properties of the Multidimensional Scale of Perceived Social Support (MSPSS) of the Urdu (MSPSS-U) and Nepali (MSPSS-N) versions were investigated among Pakistani (n=148) and Nepalese (n=153) respondents living in Hong Kong. The factor analysis of the MSPSS-N conducted in this study confirmed the three factors of the original MSPSS, namely, Family, Friend, and Significant Others, while only two factors were extracted from the MSPSS-U (i.e., the Family and Friends subscales). With regard to construct validity, both the MSPSS-U and MSPSS-N were inversely correlated with depression, anxiety and stress as assessed by the Depression Anxiety Stress Scale (DASS-21). The internal reliability and construct validity of the MSPSS-U and MSPSS-N were also established and provided support for the validity of both versions as tools for measuring perceived social support among South Asian migrants. Copyright © 2012 Elsevier B.V. All rights reserved.

Thermal stress analysis of gravity support system for ITER based on ANSYS

International Nuclear Information System (INIS)

Liang Shangming; Yan Xijiang; Huang Yufeng; Wang Xianzhou; Hou Binglin; Li Pengyuan; Jian Guangde; Liu Dequan; Zhou Caipin

2009-01-01

A method for building the finite element model of the gravity support system for International Thermonuclear Experimental Reactor (ITER) was proposed according to the characteristics of the gravity support system with the cyclic symmetry. A mesh dividing method, which has high precision and an acceptable calculating scale, was used, and a three dimensional finite element model for the toroidal 20 degree sector of the gravity support system was built by using ANSYS. Meantime, the steady-state thermal analysis and thermal-structural coupling analysis of the gravity support system were performed. The thermal stress distributions and the maximal thermal stress values of all parts of the gravity support system were obtained, and the stress intensity of parts of the gravity support system was analyzed. The results of thermal stress analysis lay the solid foundation for design and improvement for gravity supports system for ITER. (authors)

Social support received by multidrug-resistant tuberculosis patients and related factors: a cross-sectional study in Zhejiang Province, People's Republic of China

Directory of Open Access Journals (Sweden)

Chen B

2016-06-01

Full Text Available Bin Chen,1 Yin Peng,1 Lin Zhou,1 Chengliang Chai,1 Hui-Chi Yeh,2 Songhua Chen,1 Fei Wang,1 Mingwu Zhang,1 Tieniu He,1 Xiaomeng Wang1 1Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China; 2Politics & International Relations, Social Sciences, University of Southampton, Southampton, UK Objectives: The objective of this study is to assess the social support received by patients diagnosed with multidrug-resistant tuberculosis (MDR-TB in Zhejiang Province, People’s Republic of China and the factors that may have influenced it. Methods: A total of 220 MDR-TB patients participated in the questionnaire-based survey, and the data from 212 valid questionnaires were analyzed. The respondents reported their sociodemographic status, disease features, and attitudes toward the disease. The social support rating scale was used to measure the patients’ social support scores. An Independent Samples t-test, one-way analysis of variance, and a multiple linear regression model were used to analyze the related factors for the social support scores. Result: The average social support score of each MDR-TB patient was 32.56±7.86. Participants who were single, widowed or divorced, retired, and had fewer family members and lower family income were found to have lower social support scores. Participants unwilling to disclose their disease tended to have less social support (31.59<34.23, P=0.010. Participants who perceived great help from health care workers reported higher social support rating scale scores than those who perceived no help (35.36>29.89, P=0.014. Conclusion: MDR-TB patients in Zhejiang Province were shown to have a low level of social support. Patients who were not married, had smaller families, and lower family income received less social support, suggesting that family harmony could be an important source of social support. Patients�

Supportive Group Factors, Course Pedagogy, and Multicultural Competency within Multicultural Psychology Courses

Science.gov (United States)

Stoyer, Michael Ryan

2017-01-01

This study examined the relationship between course pedagogy and supportive group factors with variables of multicultural competency and multicultural counseling self-efficacy at the completion of a multicultural psychology course. The participants were students in graduate clinical psychology, counseling psychology, and school psychology programs…

Response spectrum analysis for multi-supported subsystems

International Nuclear Information System (INIS)

Reed, J.W.

1983-01-01

A methodology was developed to analyze multi-supported subsystems (e.g., piping systems) for seismic or other dynamic forces using response spectrum input. Currently, subsystems which are supported at more than one location in a nuclear power plant building are analyzed either by the time-history method or by response spectrum procedures, where spectra which envelop all support locations are used. The former procedure is exceedingly expensive, while the latter procedure is inexpensive but very conservative. Improved analysis procedures are currently being developed which are either coupled- or uncoupled-system approaches. For the coupled-system approach, response feedback between the subsystem and building system is included. For the uncoupled-system approach, feedback is neglected; however, either time history or response spectrum methods can be used. The methodology developed for analyzing multi-supported subsystems is based on the assumption that the building response and the subsystem response are uncoupled. This is the same assumption implicitly made by analysts who design singly-supported subsystems using floor response spectrum input. This approach implies that there is no response feedback between the primary building system and the subsystem, which is generally found to be conservative. The methodology developed for multi-supported subsystems makes this same assumption and thus should produce results with the same ease and degree of accuracy as results obtained for singly-supported subsystems. (orig./HP)

Exploratory factor analysis of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale in people newly diagnosed with advanced cancer.

Science.gov (United States)

Bai, Mei; Dixon, Jane K

2014-01-01

The purpose of this study was to reexamine the factor pattern of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-Sp-12) using exploratory factor analysis in people newly diagnosed with advanced cancer. Principal components analysis (PCA) and 3 common factor analysis methods were used to explore the factor pattern of the FACIT-Sp-12. Factorial validity was assessed in association with quality of life (QOL). Principal factor analysis (PFA), iterative PFA, and maximum likelihood suggested retrieving 3 factors: Peace, Meaning, and Faith. Both Peace and Meaning positively related to QOL, whereas only Peace uniquely contributed to QOL. This study supported the 3-factor model of the FACIT-Sp-12. Suggestions for revision of items and further validation of the identified factor pattern were provided.

Aksum University (AKU) faculties' needs for support in training and ...

African Journals Online (AJOL)

Ethiopian Journal of Business and Economics (The) ... Two Principle Component Analysis factors related to these hypotheses were described as a training factor TFAC1(I need training in data analysis and research report writing ) and a support factor TFAC2 (Internet access is essential and research class would not ...

Factor Analysis of the Spanish Version of the WAIS: The Escala de Inteligencia Wechsler para Adultos (EIWA).

Science.gov (United States)

Gomez, Francisco C., Jr.; And Others

1992-01-01

The standardization of the Escala de Inteligencia Wechsler para Adultos (EIWA) and the original Wechsler Adult Intelligence Scale (WAIS) were subjected to principal components analysis to examine their comparability for 616 EIWA subjects and 800 WAIS subjects. Similarity of factor structures of both scales is supported. (SLD)

Patient factors that influence clinicians' decision making in self-management support : A clinical vignette study

NARCIS (Netherlands)

Bos-Touwen, Irene D.; Trappenburg, Jaap C A; Van Der Wulp, Ineke; Schuurmans, Marieke J.; De Wit, Niek J.

2017-01-01

BACKGROUND AND AIM: Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current

Vertical load analysis of cylindrical ACS support structures

International Nuclear Information System (INIS)

Kennedy, J.M.; Belytschko, T.B.

1984-01-01

A new concept in LMFBR design ACS (above-core structures) supports which has generated some interest is to use a single large radius cylinder. The advantages of a single cylinder are reduced cost of fabrication, increased lateral stiffness, which enhances seismic resistance, and easier access to the fuel. However, the performance of these support structures when submitted to vertical loads from the core area may be substantially different, for the buckling and postbuckling behavior of a cylinder differs substantially from that of cylindrical beams. In this paper, a comparative analysis of an old prototypical support by 4 columns is compared with a cylindrical support. It is assumed that the single cylinder replaces the 4 columns in the original design. The dimensions of the two designs are compared

Individual, social, and environmental factors associated with support for smoke-free housing policies among subsidized multiunit housing tenants.

Science.gov (United States)

Hood, Nancy E; Ferketich, Amy K; Klein, Elizabeth G; Wewers, Mary Ellen; Pirie, Phyllis

2013-06-01

Mandatory smoke-free policies in subsidized, multiunit housing (MUH) may decrease secondhand smoke exposure in households with the highest rates of exposure. Ideally, policies should be based on a strong understanding of factors affecting support for smoke-free policies in the target population to maximize effectiveness. A face-to-face survey was conducted from August to October 2011 using a stratified random sample of private subsidized housing units in Columbus, OH, without an existing smoke-free policy (n = 301, 64% response rate). Lease holders were asked to report individual, social, and environmental factors hypothesized to be related to support for smoke-free policies. Multiple logistic regression models were used to identify factors independently associated with policy support. Most tenants supported smoke-free policies in common areas (82.7%), half supported policies inside units (54.5%), and one third supported a ban outside the building (36.3%). Support for smoke-free policies in units and outdoors was more common among nonsmokers than smokers (71.5% vs. 35.7%, p social, but no environmental, factors were independently associated with policy support. Smokers who intended to quit within 6 months or less were more likely than other smokers to support in-unit policies (45.3% vs. 21.1%; p = .003). More than half of subsidized MUH tenants supported smoke-free policies inside their units. Strategies to address individual- and social-level barriers to behavior change should be implemented in parallel with smoke-free policies. Policies should be evaluated with objective measures to determine their effectiveness.

Stress analysis of piping systems and piping supports. Documentation

International Nuclear Information System (INIS)

Rusitschka, Erwin

1999-01-01

The presentation is focused on the Computer Aided Tools and Methods used by Siemens/KWU in the engineering activities for Nuclear Power Plant Design and Service. In the multi-disciplinary environment, KWU has developed specific tools to support As-Built Documentation as well as Service Activities. A special application based on Close Range Photogrammetry (PHOCAS) has been developed to support revamp planning even in a high level radiation environment. It comprises three completely inter-compatible expansion modules - Photo Catalog, Photo Database and 3D-Model - to generate objects which offer progressively more utilization and analysis options. To support the outage planning of NPP/CAD-based tools have been developed. The presentation gives also an overview of the broad range of skills and references in: Plant Layout and Design using 3D-CAD-Tools; evaluation of Earthquake Safety (Seismic Screening); Revamps in Existing Plants; Inter-disciplinary coordination of project engineering and execution fields; Consulting and Assistance; Conceptual Studies; Stress Analysis of Piping Systems and Piping Supports; Documentation; Training and Supports in CAD-Design, etc. All activities are performed to the greatest extent possible using proven data-processing tools. (author)

The stress analysis evaluation and pipe support layout for pressurizer discharge system

International Nuclear Information System (INIS)

Mao Qing; Wang Wei; Zhang Yixiong

2000-01-01

The author presents the stress analysis and evaluation of pipe layout and support adjustment process for Qinshan phase II pressurizer discharge system. Using PDL-SYSPIPE INTERFACE software, the characteristic parameters of the system are gained from 3-D CAD engineering design software PDL and outputted as the input date file format of special pipe stress analysis program SYSPIPE. Based on that, SYSPIPE program fast stress analysis function is applied in adjusting pipe layout , support layout and support types. According to RCC-M standard, the pipe stress analysis and evaluation under deadweight, internal pressure, thermal expansion, seismic, pipe rupture and discharge loads are fulfilled

Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China

Directory of Open Access Journals (Sweden)

Yuanxin Liu

2018-05-01

Full Text Available In recent years, new energy sources have ushered in tremendous opportunities for development. The difficulties to finance new energy enterprises (NEEs can be estimated through issuing corporate bonds. However, there are few scientific and reasonable methods to assess the credit risk of NEE bonds, which is not conducive to the healthy development of NEEs. Based on this, this paper analyzes the advantages and risks of NEEs issuing bonds and the main factors affecting the credit risk of NEE bonds, constructs a hybrid model for assessing the credit risk of NEE bonds based on factor analysis and logistic regress analysis techniques, and verifies the applicability and effectiveness of the model employing relevant data from 46 Chinese NEEs. The results show that the main factors affecting the credit risk of NEE bonds are internal factors involving the company’s profitability, solvency, operational ability, growth potential, asset structure and viability, and external factors including macroeconomic environment and energy policy support. Based on the empirical results and the exact situation of China’s NEE bonds, this article finally puts forward several targeted recommendations.

A meta-analysis of peripheral blood nerve growth factor levels in patients with schizophrenia.

Science.gov (United States)

Qin, X-Y; Wu, H-T; Cao, C; Loh, Y P; Cheng, Y

2017-09-01

Neurotrophins particularly brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) are crucial modulators in the neurodevelopment and maintenance of central and peripheral nervous systems. Neurotrophin hypothesis of schizophrenia (SCZ) postulated that the changes in the brains of SCZ patients are the result of disturbances of developing processes involving neurotrophic factors. This hypothesis was mainly supported by the abnormal regulation of BDNF in SCZ, especially the decreased peripheral blood BDNF levels in SCZ patients validated by several meta-analyses. However, the regulation of NGF in SCZ remains unclear because of the inconsistent findings from the clinical studies. Therefore, we undertook, to the best of our knowledge, the first systematic review with a meta-analysis to quantitatively summarize the peripheral blood NGF data in SCZ patients compared with healthy control (HC) subjects. A systematic search of Pubmed, PsycINFO and Web of Science identified 13 articles encompassing a sample of 1693 individuals for the meta-analysis. Random-effects meta-analysis showed that patients with SCZ had significantly decreased peripheral blood levels of NGF when compared with the HC subjects (Hedges's g=-0.633, 95% confidence interval (CI)=-0.948 to -0.318, Pmeta-regression analyses showed that age, gender and sample size had no moderating effects on the outcome of the meta-analysis, whereas disease severity might be a confounding factor for the meta-analysis. These results demonstrated that patients with SCZ are accompanied by the decreased peripheral blood NGF levels, strengthening the clinical evidence of an abnormal neurotrophin profile in the patients with SCZ.

[Social support and occupational stress relationship analysis of 1 413 train drivers in a railway bureau].

Science.gov (United States)

Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

2017-02-06

Objective: To investigate the social support status of train drivers. Methods: Using cluster sampling, a cross-sectional study was conducted in 1 413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 85 guest scheduling train drivers, 265 cargo adjustable drivers, and 79 high-speed train drivers) from a railway bureau depot. The survey included individual factors, social support, occupational stressors, strains, personalities, and coping strategy using occupational stress instruments and effort-reward imbalance questionnaire. We compared the difference in social support scores between different drivers, who were divided according to job type and age. Additionally, the correlation between social support score and job strain-related factors was analyzed. The influence of depressive symptoms and job satisfaction were analyzed using a non-conditional logistic multivariate model. Results: The overall average age P (50) ( P (25), P (75)) of 1 413 train drivers was 33.92 (27.83,43.58) years. The overall average length of service 12.25 (5.25,22.75) years. A significant difference in social support scores was observed according to job type ( H =23.23, P40 years (27 (22,31)). Correlation analysis revealed that the social support score was negatively associated with job satisfaction ( r=- 0.43), reward ( r=- 0.22), working stability ( r=- 0.23), promotion opportunities ( r=- 0.12), positive affectivity ( r=- 0.31), esteem ( r=- 0.21), and self-esteem ( r=- 0.20) scores ( Pstress ( r= 0.29), negative affectivity ( r= 0.23), and depressive symptoms ( r= 0.44) scores ( Poccupational stress. High social support was related to reduction in the occurrence of occupational stress, depressive symptoms, and low job satisfaction. Social support is related to mental health of train drivers.

Social Support and Work Stress: A Mixed Method Analysis

Directory of Open Access Journals (Sweden)

Vânia Lúcia Pereira de Andrade

2017-12-01

Full Text Available Occupational stress and coping strategies have increasingly become the focus of research for their applied feature. The aim of this study was to investigate how social support has helped people deal with stressful situations in the workplace. In order to reach this aim an exploratory mixed method embedded research design was conducted. Study 1, quantitative, described the level of satisfaction with social support and perceived organizational support by employing a scale that summarized factors of the perceived organizational support. Study 2, a qualitative one, sought to describe the stressors in the workplace environment, to whom the workers resorted to, and the kind of perceived social support. The group interview script was based on the dimensions proposed by Folkman e Lazarus (1985 model. Fifty-one volunteer workers participated in the study. Results showed a lack of social support in the workplace: incivility of colleagues and managers, psychological contract breach and conflict of values. Investments in personal development that stimulate urbanity in organizations and a listening space for employees are suggested actions that can benefit affective dimensions of work.

Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands.

Science.gov (United States)

Marston, Luke; Kelly, Gerard C; Hale, Erick; Clements, Archie C A; Hodge, Andrew; Jimenez-Soto, Eliana

2014-08-18

The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementation of a spatial decision support system (SDSS) for malaria elimination in the two elimination provinces of Isabel and Temotu, Solomon Islands. Financial and economic costs to develop and implement a SDSS were estimated using the Solomon Islands programme's financial records. Using an ingredients approach, verified by stakeholders and operational reports, total costs for each province were quantified. A budget impact sensitivity analysis was conducted to investigate the influence of variations in standard budgetary components on the costs and to identify potential cost savings. A total investment of US$ 96,046 (2012 constant dollars) was required to develop and implement the SDSS in two provinces (Temotu Province US$ 49,806 and Isabel Province US$ 46,240). The single largest expense category was for computerized equipment totalling approximately US$ 30,085. Geographical reconnaissance was the most expensive phase of development and implementation, accounting for approximately 62% of total costs. Sensitivity analysis identified different cost factors between the provinces. Reduced equipment costs would deliver a budget saving of approximately 10% in Isabel Province. Combined travel costs represented the greatest influence on the total budget in the more remote Temotu Province. This study provides the first cost analysis of an operational surveillance tool used specifically for malaria elimination in the South-West Pacific. It is demonstrated that the costs of such a decision support system are driven by specialized equipment and travel expenses. Such factors should be closely scrutinized in future programme budgets to ensure maximum efficiencies are gained and available resources

Gender difference in sickness absence from work: a multiple mediation analysis of psychosocial factors.

Science.gov (United States)

Casini, Annalisa; Godin, Isabelle; Clays, Els; Kittel, France

2013-08-01

Previous research has shown that job characteristics, private life and psychosocial factors partially account for gender difference in work absences because of sickness. Most studies have analysed these factors separately. The aim of the present study was to evaluate whether these explanatory factors act as mediators when they are considered simultaneously. The evaluated data set comprises the merger of two Belgian longitudinal studies, BELSTRESS III and SOMSTRESS. It includes 3821 workers (1541 men) aged 21-66 years, employed in eight organizations. A multiple mediation analysis was performed to explain the higher prevalence among women. Estimated factors were occupational grade, total number of paid working hours per week, job strain, overcommitment, home-work interference and social support at and outside work. Prospective data concerning duration and frequency of medically justified sickness absence (registered by the organizations) were used as outcomes. Overall, the mediating factors partially account for gender difference in sickness absence. The strongest mediator for both outcomes is job strain. In addition, difference in absence duration is mediated by social support at work, whereas difference in frequency is mediated by professional grade and home-work interference. Our results call attention to the necessity to elaborate actual preventive actions aiming at favouring a better positioning of women on the labour market in term of hierarchical level as well as in terms of quality of work for reducing sickness absence in this group.

Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors.

Science.gov (United States)

Zhang, Shanyong; Yang, Lili; Peng, Chuangang; Wu, Minfei

2018-02-01

The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (Pregression analysis of total resection-related factors showed that total resection should be the preferred treatment for patients with benign tumors, thoracic and lumbosacral tumors, and lower McCormick grade, as well as patients without syringomyelia and intramedullary tumors. Logistic regression analysis of recurrence-related factors revealed that the recurrence rate was relatively higher in patients with malignant, cervical, thoracic and lumbosacral, intramedullary tumors, and higher Mc

Evidence-Based Practice Questionnaire: A Confirmatory Factor Analysis in a Social Work Sample

Directory of Open Access Journals (Sweden)

Karen Rice

2010-10-01

Full Text Available This study examined the psychometric properties of the Evidence-Based Practice Questionnaire (EBPQ. The 24-item EBPQ was developed to measure health professionals’ attitudes toward, knowledge of, and use of evidence-based practice (EBP. A confirmatory factor analysis was performed on the EBPQ given to a random sample of National Association of Social Work members (N = 167. The coefficient alpha of the EBPQ was .93. The study supported a 23-item 3-factor model with acceptable model fit indices (χ² = 469.04; RMSEA = .081; SRMR = .068; CFI = .900. This study suggests a slightly modified EBPQ may be a useful tool to assess social workers’ attitudes toward, knowledge of, and use of EBP.

FRamework Assessing Notorious Contributing Influences for Error (FRANCIE): Perspective on Taxonomy Development to Support Error Reporting and Analysis

Energy Technology Data Exchange (ETDEWEB)

Lon N. Haney; David I. Gertman

2003-04-01

Beginning in the 1980s a primary focus of human reliability analysis was estimation of human error probabilities. However, detailed qualitative modeling with comprehensive representation of contextual variables often was lacking. This was likely due to the lack of comprehensive error and performance shaping factor taxonomies, and the limited data available on observed error rates and their relationship to specific contextual variables. In the mid 90s Boeing, America West Airlines, NASA Ames Research Center and INEEL partnered in a NASA sponsored Advanced Concepts grant to: assess the state of the art in human error analysis, identify future needs for human error analysis, and develop an approach addressing these needs. Identified needs included the need for a method to identify and prioritize task and contextual characteristics affecting human reliability. Other needs identified included developing comprehensive taxonomies to support detailed qualitative modeling and to structure meaningful data collection efforts across domains. A result was the development of the FRamework Assessing Notorious Contributing Influences for Error (FRANCIE) with a taxonomy for airline maintenance tasks. The assignment of performance shaping factors to generic errors by experts proved to be valuable to qualitative modeling. Performance shaping factors and error types from such detailed approaches can be used to structure error reporting schemes. In a recent NASA Advanced Human Support Technology grant FRANCIE was refined, and two new taxonomies for use on space missions were developed. The development, sharing, and use of error taxonomies, and the refinement of approaches for increased fidelity of qualitative modeling is offered as a means to help direct useful data collection strategies.

EXPLORATORY FACTOR ANALYSIS (EFA IN CONSUMER BEHAVIOR AND MARKETING RESEARCH

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Marcos Pascual Soler

2012-06-01

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

Pipe supports and anchors - LMFBR applications

International Nuclear Information System (INIS)

Anderson, M.J.

1983-06-01

Pipe design and support design can not be treated as separate disciplines. A coordinated design approach is required if LMFBR pipe system adequacy is to be achieved at a reasonable cost. It is particularly important that system designers understand and consider those factors which influence support train flexibility and thus the pipe system dynamic stress levels. The system approach must not stop with the design phase but should continue thru the erection and acceptance test procedures. The factors that should be considered in the design of LMFBR pipe supports and anchors are described. The various pipe support train elements are described together with guidance on analysis, design and application aspects. Post erection acceptance and verification test procedures are then discussed

Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis

Science.gov (United States)

Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

2015-11-01

The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.

Non-suicidal self-injury within the school context: Multilevel analysis of teachers' support and peer climate.

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Madjar, N; Ben Shabat, S; Elia, R; Fellner, N; Rehavi, M; Rubin, S E; Segal, N; Shoval, G

2017-03-01

Recent studies regarding non-suicidal self-injury (NSSI) among adolescents have focused primarily on individual characteristics (e.g., depressive symptoms) and background factors (e.g., parental relationship), whereas less emphasis has been given to the role of school-related factors in NSSI. Therefore, the purpose of the current study was to explore the relationships between teachers' support, peer climate, and NSSI within the school context. The sample consisted of 594 high school students nested within 27 regular classes (54.4% boys; mean age 14.96, SD=1.33 years). The students were evaluated for NSSI behaviors, perception of teacher support, peer climate, relationships with mothers, and depressive symptoms using validated scales. The primary analysis used hierarchical linear modeling (HLM), controlling for gender and age. The main findings indicated that teacher support was positively associated with NSSI at the classroom-level (OR=6.15, 95% CI=2.05-18.5) but negatively associated at the student-level (OR=0.66, 95% CI=0.49-0.89). There was a trend toward an association between positive peer climate and NSSI at the classroom-level (OR=0.43, 95% CI=0.18-1.05), while negative peer climate was associated with NSSI at the student-level (OR=1.37, 95% CI=1.00-1.87). School-related factors are associated with NSSI behaviors among students. Teachers and educators should focus on both individual-level and classroom-level perceptions of school context. Students who feel supported by their teachers and who are exposed to a positive peer climate are less likely to engage in NSSI. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

The Oswestry Disability Index, confirmatory factor analysis in a sample of 35,263 verifies a one-factor structure but practicality issues remain.

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Gabel, Charles Philip; Cuesta-Vargas, Antonio; Qian, Meihua; Vengust, Rok; Berlemann, Ulrich; Aghayev, Emin; Melloh, Markus

2017-08-01

To analyze the factor structure of the Oswestry Disability Index (ODI) in a large symptomatic low back pain (LBP) population using exploratory (EFA) and confirmatory factor analysis (CFA). Analysis of pooled baseline ODI LBP patient data from the international Spine Tango registry of EUROSPINE, the Spine Society of Europe. The sample, with n = 35,263 (55.2% female; age 15-99, median 59 years), included 76.1% of patients with a degenerative disease, and 23.9% of the patients with various other spinal conditions. The initial EFA provided a hypothetical construct for consideration. Subsequent CFA was considered in three scenarios: the full sample and separate genders. Models were compared empirically for best fit. The EFA indicated a one-factor solution accounting for 54% of the total variance. The CFA analysis based on the full sample confirmed this one-factor structure. Sub-group analyses by gender achieved good model fit for configural and partial metric invariance, but not scalar invariance. A possible two-construct model solution as outlined by previous researchers: dynamic-activities (personal care, lifting, walking, sex and social) and static-activities (pain, sleep, standing, travelling and sitting) was not preferred. The ODI demonstrated a one-factor structure in a large LBP sample. A potential two-factor model was considered, but not found appropriate for constructs of dynamic and static activity. The use of the single summary score for the ODI is psychometrically supported. However, practicality limitations were reported for use in the clinical and research settings. Researchers are encouraged to consider a shift towards newer, more sensitive and robustly developed instruments.

Vulnerability Analysis of Soft Caving Tunnel Support System and Surrounding Rock Optimal Control Technology Research

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Ming Ji

2014-01-01

Full Text Available The vulnerability assessment model, composed by 11 vulnerability factors, is established with the introduction of the concept of “vulnerability” into the assessment of tunnel support system. Analytic hierarchy process is utilized to divide these 11 factors into human attributes and natural attributes, and define the weight of these factors for the model. The “vulnerability” applied io the assessment of the tunnel support system model is reached. The vulnerability assessment model was used for evaluating and modifying the haulage tunnel #3207 of Bo-fang mine panel #2. The results decreased the vulnerability of the tunnel support system and demonstrated acceptable effects. Furthermore, the results show that the impact of human attributes on tunnel support systems is dramatic under the condition that natural attributes are permanent, and the “vulnerability” is exactly a notable factor to manifest the transformation during this process. The results also indicate that optimizing human attributes can attenuate vulnerability in tunnel support systems. As a result, enhancement of stability of tunnel support systems can be achieved.

Environmental analysis support

International Nuclear Information System (INIS)

Miller, R.L.

1994-01-01

Activities in environmental analysis support included assistance to the Morgantown and Pittsburgh Energy Technology Centers (METC and PETC) in reviewing and preparing documents required by the National Environmental Policy Act (NEPA) for several projects selected for the Clean Coal Technology (CCT) Program. A key milestone was the completion for PETC of the final Environmental Impact Statement (EIS) for the Healy Clean Coal Project (HCCP) in Healy, Alaska. This work is notable because it is the first site-specific EIS completed for the CCT Program. Another important activity was the preparation for METC of a draft Environmental Assessment (EA) for the Externally Fired Combined Cycle (EFCC) Project in Warren, Pennsylvania. Also, the final EA was completed for the Gasification Product Improvement Facility (GPIF), a proposed project near Morgantown, West Virginia, which is part of METC's R ampersand D Program. In addition, ORNL staff members published a Technical Memorandum entitled open-quotes Potential Effects of Clean Coal Technologies on Acid Precipitation, Greenhouse Gases, and Solid Waste Disposalclose quotes which documents the findings of three open-quotes white papersclose quotes prepared for DOE/FE

Deliverable D74.2. Probabilistic analysis methods for support structures

DEFF Research Database (Denmark)

Gintautas, Tomas

2018-01-01

Relevant Description: Report describing the probabilistic analysis for offshore substructures and results attained. This includes comparison with experimental data and with conventional design. Specific targets: 1) Estimate current reliability level of support structures 2) Development of basis...... for probabilistic calculations and evaluation of reliability for offshore support structures (substructures) 3) Development of a probabilistic model for stiffness and strength of soil parameters and for modeling geotechnical load bearing capacity 4) Comparison between probabilistic analysis and deterministic...

A multiple linear regression analysis of factors affecting the simulated Basic Life Support (BLS) performance with Automated External Defibrillator (AED) in Flemish lifeguards.

Science.gov (United States)

Iserbyt, Peter; Schouppe, Gilles; Charlier, Nathalie

2015-04-01

Research investigating lifeguards' performance of Basic Life Support (BLS) with Automated External Defibrillator (AED) is limited. Assessing simulated BLS/AED performance in Flemish lifeguards and identifying factors affecting this performance. Six hundred and sixteen (217 female and 399 male) certified Flemish lifeguards (aged 16-71 years) performed BLS with an AED on a Laerdal ResusciAnne manikin simulating an adult victim of drowning. Stepwise multiple linear regression analysis was conducted with BLS/AED performance as outcome variable and demographic data as explanatory variables. Mean BLS/AED performance for all lifeguards was 66.5%. Compression rate and depth adhered closely to ERC 2010 guidelines. Ventilation volume and flow rate exceeded the guidelines. A significant regression model, F(6, 415)=25.61, p<.001, ES=.38, explained 27% of the variance in BLS performance (R2=.27). Significant predictors were age (beta=-.31, p<.001), years of certification (beta=-.41, p<.001), time on duty per year (beta=-.25, p<.001), practising BLS skills (beta=.11, p=.011), and being a professional lifeguard (beta=-.13, p=.029). 71% of lifeguards reported not practising BLS/AED. Being young, recently certified, few days of employment per year, practising BLS skills and not being a professional lifeguard are factors associated with higher BLS/AED performance. Measures should be taken to prevent BLS/AED performances from decaying with age and longer certification. Refresher courses could include a formal skills test and lifeguards should be encouraged to practise their BLS/AED skills. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

MULTI-FACTOR ANALYSIS FOR SELECTING LUNAR EXPLORATION SOFT LANDING AREA AND THE BEST CRUISE ROUTE

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N. Mou

2018-04-01

Full Text Available Selecting the right soft landing area and planning a reasonable cruise route are the basic tasks of lunar exploration. In this paper, the Von Karman crater in the Antarctic Aitken basin on the back of the moon is used as the study area, and multi-factor analysis is used to evaluate the landing area and cruise route of lunar exploration. The evaluation system mainly includes the factors such as the density of craters, the impact area of craters, the formation of the whole area and the formation of some areas, such as the vertical structure, rock properties and the content of (FeO + TiO2, which can reflect the significance of scientific exploration factor. And the evaluation of scientific exploration is carried out on the basis of safety and feasibility. On the basis of multi-factor superposition analysis, three landing zones A, B and C are selected, and the appropriate cruising route is analyzed through scientific research factors. This study provides a scientific basis for the lunar probe landing and cruise route planning, and it provides technical support for the subsequent lunar exploration.

Multi-Factor Analysis for Selecting Lunar Exploration Soft Landing Area and the best Cruise Route

Science.gov (United States)

Mou, N.; Li, J.; Meng, Z.; Zhang, L.; Liu, W.

2018-04-01

Selecting the right soft landing area and planning a reasonable cruise route are the basic tasks of lunar exploration. In this paper, the Von Karman crater in the Antarctic Aitken basin on the back of the moon is used as the study area, and multi-factor analysis is used to evaluate the landing area and cruise route of lunar exploration. The evaluation system mainly includes the factors such as the density of craters, the impact area of craters, the formation of the whole area and the formation of some areas, such as the vertical structure, rock properties and the content of (FeO + TiO2), which can reflect the significance of scientific exploration factor. And the evaluation of scientific exploration is carried out on the basis of safety and feasibility. On the basis of multi-factor superposition analysis, three landing zones A, B and C are selected, and the appropriate cruising route is analyzed through scientific research factors. This study provides a scientific basis for the lunar probe landing and cruise route planning, and it provides technical support for the subsequent lunar exploration.

Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis.

Science.gov (United States)

Muhammad, Noor Azimah; Shamsuddin, Khadijah; Omar, Khairani; Shah, Shamsul Azhar; Mohd Amin, Rahmah

2014-01-01

Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (parenting style. Confirmatory factor analysis may further support this finding. Malaysia, parenting, questionnaire, validity.

Social support and its interrelationships with demand-control model factors on presenteeism and absenteeism in Japanese civil servants.

Science.gov (United States)

Saijo, Yasuaki; Yoshioka, Eiji; Nakagi, Yoshihiko; Kawanishi, Yasuyuki; Hanley, Sharon J B; Yoshida, Takahiko

2017-08-01

To elucidate the impact of social support and its interrelations with other demand-control-support (DCS) model factors on presenteeism and absenteeism, and to determine which DCS factors were most influential. Questionnaires from 2535 local government employees were analyzed. The Brief Job Stress Questionnaire (BJSQ) was used to assess DCS factors including job demand, job control, and social support from supervisors and coworkers. The Stanford Presenteeism Scale 13-item version (SPS-13) was used to evaluate both absenteeism (absent days) and presenteeism. For the latter, the Work Impairment Score (WIS) and the Work Output Score (WOS) were also used. Possible confounder-adjusted logistic and negative binomial regression analyses were performed to obtain odds ratios (ORs) for WIS and WOS and relative risks (RRs) for absenteeism according to DCS factors. Higher job control had a significantly protective effect on higher WIS in both males and females and a lower WOS in males. Based on a point estimate of an OR per 1 standard deviation change of each DCS factor, job control had the strongest effect on higher WIS in both males and females and a lower WOS in males. Higher job demand resulted in significantly higher ORs for both male and female WIS, and a lower WOS in females. Support from supervisors had a significantly protective effect on higher WIS in females and a lower WOS in males. Support from coworkers had a significantly protective effect on higher WIS in males. Higher support from coworkers had a significantly protective effect on absenteeism among both males and females, and higher job control had a significantly protective effect in females. The combination of high job strain and low support from supervisors had a significantly worsening effect, except for absenteeism in females. High job strain and low support from coworkers had a significantly worsening effect except for WOS in males. The results suggest job control was the DCS factor most related to

Longevity of Emplacement Drift Ground Support Materials, Rev. 01

International Nuclear Information System (INIS)

David H. Tang

2000-01-01

The purpose of this analysis is to evaluate the factors affecting the longevity of emplacement drift ground support materials and to develop a basis for the selection of materials for ground support that will function throughout the preclosure period of a potential repository at Yucca Mountain. The Development Plan (DP) for this analysis is given in Longevity of Emplacement Drift Ground Support Materials (CRWMS M and O 1999a). The objective of this analysis is to update the previous analysis (CRWMS M and O 2000a) to account for related changes in the Ground Control System Description Document (CRWMS M and O 2000b), the Monitored Geologic Repository Project Description Document (CRWMS M and O 1999b), and in environmental conditions, and to provide updated information on candidate ground support materials. Candidate materials for ground support are carbon steel and cement grout. Steel is mainly used for steel sets, lagging, channel, rock bolts, and wire mesh. Cement grout is only considered in the case of grouted rock bolts. Candidate materials for the emplacement drift invert are carbon steel and crushed rock ballast. Materials are evaluated for the repository emplacement drift environment based on the updated thermal loading condition and waste package design. The analysis consists of the following tasks: (1) Identify factors affecting the longevity of ground support materials for use in emplacement drifts; (2) Review existing documents concerning the behavior of candidate ground support materials during the preclosure period; (3) Evaluate impacts of temperature and radiation effects on mechanical and thermal properties of steel. Assess corrosion potential of steel at emplacement drift environment; (4) Evaluate factors affecting longevity of cement grouts for fully grouted rock bolt system. Provide updated information on cement grout mix design for fully grouted rock bolt system; and (5) Evaluate longevity of materials for the emplacement drift invert

Evidence supporting the use of recombinant activated factor VII in congenital bleeding disorders

Directory of Open Access Journals (Sweden)

Pär I Johansson

2010-06-01

Full Text Available Pär I Johansson, Sisse R OstrowskiCapital Region Blood Bank, Section for Transfusion Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, DenmarkBackground: Recombinant activated factor VII (rFVIIa, NovoSeven® was introduced in 1996 for the treatment of hemophilic patients with antibodies against coagulation factor VIII or IX.Objective: To review the evidence supporting the use of rFVIIa for the treatment of patients with congenital bleeding disorders.Patients and methods: English-language databases were searched in September 2009 for reports of randomized controlled trials (RCTs evaluating the ability of rFVIIa to restore hemostasis in patients with congenital bleeding disorders.Results: Eight RCTs involving 256 hemophilic patients with antibodies against coagulation factors, also known as inhibitors, were identified. The evidence supporting the use of rFVIIa in these patients was weak with regard to dose, clinical setting, mode of administration, efficacy, and adverse events, given the limited sample size of each RCT and the heterogeneity of the studies.Conclusion: The authors suggest that rFVIIa therapy in hemophilic patients with inhibitors should be based on the individual’s ability to generate thrombin and form a clot, and not on the patient’s weight alone. Therefore, assays for thrombin generation, such as whole-blood thromboelastography, have the potential to significantly improve the treatment of these patients.Keywords: hemophilia, inhibitors, coagulation factor VIII, coagulation factor IX, rFVIIa, NovoSeven, FEIBA, hemostasis, RCT

Confirmatory Analysis of Simultaneous, Sequential, and Achievement Factors on the K-ABC at 11 Age Levels Ranging from 2 1/2 to 12 1/2 years.

Science.gov (United States)

Willson, Victor L.; And Others

1985-01-01

Presents results of confirmatory factor analysis of the Kaufman Assessment Battery for children which is based on the underlying theoretical model of sequential, simultaneous, and achievement factors. Found support for the two-factor, simultaneous and sequential processing model. (MCF)

Classification analysis of organization factors related to system safety

International Nuclear Information System (INIS)

Liu Huizhen; Zhang Li; Zhang Yuling; Guan Shihua

2009-01-01

This paper analyzes the different types of organization factors which influence the system safety. The organization factor can be divided into the interior organization factor and exterior organization factor. The latter includes the factors of political, economical, technical, law, social culture and geographical, and the relationships among different interest groups. The former includes organization culture, communication, decision, training, process, supervision and management and organization structure. This paper focuses on the description of the organization factors. The classification analysis of the organization factors is the early work of quantitative analysis. (authors)

Thermal–structural analysis of ITER triangular support for dominant load verification

Energy Technology Data Exchange (ETDEWEB)

Kim, Yu-Gyeong, E-mail: aspirany@hhi.co.kr [Hyundai Heavy Industries Co., Ltd., 1000, Bangeojinsunhwando-ro, Dong-gu, Ulsan (Korea, Republic of); Hwang, Jong-Hyun; Jung, Yung-Jin [Hyundai Heavy Industries Co., Ltd., 1000, Bangeojinsunhwando-ro, Dong-gu, Ulsan (Korea, Republic of); Kim, Hyun-Soo; Ahn, Hee-Jae [National Fusion Research Institute, 113 Gwahangno, Yuseong-gu, Daejeon-si (Korea, Republic of)

2014-12-15

Highlights: • The load combination method is introduced to thermal–structural analysis for contradictive loads occurred simultaneously. • The one-way coupling analysis also conducted for thermal–structural analysis and its validity is checked by comparing with the load combination. • The dominant load for triangular support bracket is determined as the baking condition. - Abstract: The triangular support is located on the lower inner shell of vacuum vessel of ITER, which should be designed to withstand various loads such as nuclear heat, coolant pressure and so on. The appropriateness of its design is evaluated under the dominant load that could represent the most conservative condition among the design loads. In order to decide the dominant load, a valid method for thermal–structural analysis is firstly verified considering contradictory behaviors between heat and structural loads. In this paper, two approaches; one-way coupling and load combination, are introduced for thermal–structural analysis. The one-way coupling is a method generally used but has a limit to apply on contradictory conditions. The load combination could give a proper solution since it evaluates each load independently and then adds up each result linearly. Based on the results of each case, structural analysis for another load case, baking condition with incident, is conducted to find out which load is dominant for triangular support. Consequently, it is found that the baking condition is the dominant load for triangular support bracket. The proposed load combination method gives a physically reasonable solution which can be used as a reference for checking the validity of other thermal–structural analysis. It is expected that these results could be applied for manufacturing design of the triangular support under various load conditions.

Thermal–structural analysis of ITER triangular support for dominant load verification

International Nuclear Information System (INIS)

Kim, Yu-Gyeong; Hwang, Jong-Hyun; Jung, Yung-Jin; Kim, Hyun-Soo; Ahn, Hee-Jae

2014-01-01

Highlights: • The load combination method is introduced to thermal–structural analysis for contradictive loads occurred simultaneously. • The one-way coupling analysis also conducted for thermal–structural analysis and its validity is checked by comparing with the load combination. • The dominant load for triangular support bracket is determined as the baking condition. - Abstract: The triangular support is located on the lower inner shell of vacuum vessel of ITER, which should be designed to withstand various loads such as nuclear heat, coolant pressure and so on. The appropriateness of its design is evaluated under the dominant load that could represent the most conservative condition among the design loads. In order to decide the dominant load, a valid method for thermal–structural analysis is firstly verified considering contradictory behaviors between heat and structural loads. In this paper, two approaches; one-way coupling and load combination, are introduced for thermal–structural analysis. The one-way coupling is a method generally used but has a limit to apply on contradictory conditions. The load combination could give a proper solution since it evaluates each load independently and then adds up each result linearly. Based on the results of each case, structural analysis for another load case, baking condition with incident, is conducted to find out which load is dominant for triangular support. Consequently, it is found that the baking condition is the dominant load for triangular support bracket. The proposed load combination method gives a physically reasonable solution which can be used as a reference for checking the validity of other thermal–structural analysis. It is expected that these results could be applied for manufacturing design of the triangular support under various load conditions

Self-management support by final year nursing students: A correlational study of performance and person-related associated factors.

Science.gov (United States)

Duprez, Veerle; Beeckman, Dimitri; Verhaeghe, Sofie; Van Hecke, Ann

2017-09-01

Chronic conditions put a heavy burden on healthcare in every country. Supporting persons with a chronic illness to take an active role in the management of their condition is a core component in the Chronic Care Model. It implies confidence and good skills from professionals. To date, there is no evidence on final year nursing students' performance in supporting patients' self-management, nor on factors associated with this performance. To explore self-reported performance of supporting patients' self-management by final year nursing students, and person-related factors associated with this performance. A correlational multi-centre study of final year nursing students (N=256) from eight nursing schools. Students were recruited from a convenience sample of eight nursing schools. All final year students were invited to participate. Data were collected between January 2015 and May 2016 using self-administered validated questionnaires. Theoretical behavioural frameworks were used to select hypothesized associated factors for self-management support: self-efficacy to perform self-management support and socio-structural factors (Social Cognitive Theory); needs for autonomy, competence and relatedness, and patient-invested contingent self-esteem (Self-Determination Theory); and attitudes towards supporting patients' self-management (Theory of Planned Behaviour). Final year nursing students (N=256) reported an overall low level of performance in delivering self-management support during internship. Students lacked mainly competencies in collaborative goal setting and shared decision making. Students reported a significant gap between their confidence and their actual performance in self-management support (pLearning opportunities can be introduced in classroom activities and on internship. Copyright © 2017 Elsevier Ltd. All rights reserved.

Time Series Factor Analysis with an Application to Measuring Money

NARCIS (Netherlands)

Gilbert, Paul D.; Meijer, Erik

2005-01-01

Time series factor analysis (TSFA) and its associated statistical theory is developed. Unlike dynamic factor analysis (DFA), TSFA obviates the need for explicitly modeling the process dynamics of the underlying phenomena. It also differs from standard factor analysis (FA) in important respects: the

Influencing factors of public support for modern coal-fired power plant projects: An empirical study from China

International Nuclear Information System (INIS)

Liu, Feng; Lyu, Tao; Pan, Li; Wang, Fei

2017-01-01

With the development of clean coal technology, modern coal-fired power plants have achieved the similar emission standards as gas power plants. However, due to the impressions of high pollution and high emission in traditional coal-fired power plants, such projects are often opposed by local residents, which hinder the promotion of this technology. This manuscript aims to investigate public attitudes toward these projects and to analyze the influencing mechanisms of the factors of public support. The conceptual model was built with sense of place, trust and environmental attitude as the independent variables, benefit and cost perceptions as the mediating variables and public support as the dependent variable. The model was tested and modified by structural equation modelling. The results revealed that sense of place had a slight indirect impact (−0.043) on public support through benefit perception, whereas trust had a direct impact (0.332) on public support and indirect impacts (0.298) through benefit and cost perceptions. Environmental attitude had indirect impacts on public support through benefit perception (0.180) and cost perception (−0.115). In addition, policy suggestions on decision-making, project publicity and compensation strategy are proposed to enhance public support for similar projects. - Highlights: • This manuscript aims at eliminating the NIMBY effects on modern coal-fired power plant project. • A SEM model is proposed to explore how potential factors affect public support. • Trust is the dominant influencing factor to improve public support with both direct and indirect impacts. • Environmental attitude can also have positive effect on public support through rational compensation plans.

A comparison study on detection of key geochemical variables and factors through three different types of factor analysis

Science.gov (United States)

Hoseinzade, Zohre; Mokhtari, Ahmad Reza

2017-10-01

Large numbers of variables have been measured to explain different phenomena. Factor analysis has widely been used in order to reduce the dimension of datasets. Additionally, the technique has been employed to highlight underlying factors hidden in a complex system. As geochemical studies benefit from multivariate assays, application of this method is widespread in geochemistry. However, the conventional protocols in implementing factor analysis have some drawbacks in spite of their advantages. In the present study, a geochemical dataset including 804 soil samples collected from a mining area in central Iran in order to search for MVT type Pb-Zn deposits was considered to outline geochemical analysis through various fractal methods. Routine factor analysis, sequential factor analysis, and staged factor analysis were applied to the dataset after opening the data with (additive logratio) alr-transformation to extract mineralization factor in the dataset. A comparison between these methods indicated that sequential factor analysis has more clearly revealed MVT paragenesis elements in surface samples with nearly 50% variation in F1. In addition, staged factor analysis has given acceptable results while it is easy to practice. It could detect mineralization related elements while larger factor loadings are given to these elements resulting in better pronunciation of mineralization.

Supportive Relationships in Autism Spectrum Disorder: Perspectives of Individuals with ASD and Supporters

Directory of Open Access Journals (Sweden)

Jodi Robledo

2016-11-01

Full Text Available This study explored 17 dyads of academically successful people with Autism Spectrum Disorder (ASD and individuals who they identified as supportive. Qualitative methods, including in-depth interviews, participant observations, and document analysis, were used to study these supportive relationships. The purpose of the study was to develop a substantive grounded theory regarding supportive relationships within the lives of individuals with ASD. A dynamic model of supportive relationships emerged, with trust, unity, and support as the three core categories of these relationships. The data suggest that the quality of the relationship between an individual with ASD and the support provider can be a critical factor within effective support. These findings suggest that there is much yet to be learned about the social world of individuals with ASD.

Supportive Relationships in Autism Spectrum Disorder: Perspectives of Individuals with ASD and Supporters

Science.gov (United States)

Robledo, Jodi; Donnellan, Anne M.

2016-01-01

This study explored 17 dyads of academically successful people with Autism Spectrum Disorder (ASD) and individuals who they identified as supportive. Qualitative methods, including in-depth interviews, participant observations, and document analysis, were used to study these supportive relationships. The purpose of the study was to develop a substantive grounded theory regarding supportive relationships within the lives of individuals with ASD. A dynamic model of supportive relationships emerged, with trust, unity, and support as the three core categories of these relationships. The data suggest that the quality of the relationship between an individual with ASD and the support provider can be a critical factor within effective support. These findings suggest that there is much yet to be learned about the social world of individuals with ASD. PMID:27827873

A hierarchical factor analysis of a safety culture survey.

Science.gov (United States)

Frazier, Christopher B; Ludwig, Timothy D; Whitaker, Brian; Roberts, D Steve

2013-06-01

Recent reviews of safety culture measures have revealed a host of potential factors that could make up a safety culture (Flin, Mearns, O'Connor, & Bryden, 2000; Guldenmund, 2000). However, there is still little consensus regarding what the core factors of safety culture are. The purpose of the current research was to determine the core factors, as well as the structure of those factors that make up a safety culture, and establish which factors add meaningful value by factor analyzing a widely used safety culture survey. A 92-item survey was constructed by subject matter experts and was administered to 25,574 workers across five multi-national organizations in five different industries. Exploratory and hierarchical confirmatory factor analyses were conducted revealing four second-order factors of a Safety Culture consisting of Management Concern, Personal Responsibility for Safety, Peer Support for Safety, and Safety Management Systems. Additionally, a total of 12 first-order factors were found: three on Management Concern, three on Personal Responsibility, two on Peer Support, and four on Safety Management Systems. The resulting safety culture model addresses gaps in the literature by indentifying the core constructs which make up a safety culture. This clarification of the major factors emerging in the measurement of safety cultures should impact the industry through a more accurate description, measurement, and tracking of safety cultures to reduce loss due to injury. Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.

Burnout and stress factors in special education teachers who provide extra professional support

OpenAIRE

Pogačnik Janežič, Olga

2015-01-01

In the thesis, we discuss the work of special education teachers, who provide extra professional support to children in need. Limitations and weaknesses of their work are also reviewed. Many factors, including changes in the general system of education, parents’ high expectations, unpleasant classroom circumstances, high amount of work tasks and employment uncertainty are just a few of the factors that lead to higher amounts of work-related stress and burnout syndrome. The purpose of the thes...

Multilevel Confirmatory Factor Analysis of the Teacher My Class Inventory-Short Form

Science.gov (United States)

Villares, Elizabeth; Mariani, Melissa; Sink, Christopher A.; Colvin, Kimberly

2016-01-01

Researchers analyzed data from elementary teachers (N = 233) to further establish the psychometric soundness of the Teacher My Class Inventory-Short Form. Supporting previous psychometric research, confirmatory factor analyses findings supported the factorial validity of the hypothesized five-factor solution. Internal reliability estimates were…

Families affected by childhood cancer: an analysis of the provision of social support within online support groups.

Science.gov (United States)

Coulson, N S; Greenwood, N

2012-11-01

With increasing access to the Internet, there are new opportunities available to families to seek information, advice and support about childhood cancer online. A total of 487 messages were retrieved from three childhood cancer online support groups and were analysed using deductive thematic analysis for the presence of support-intended communication using Cutrona and Suhr's social support typology. In addition, the messages were examined for negative experiences or disadvantages. The results revealed the presence of five types of social support: emotional, informational, esteem support and tangible assistance. In addition, some potential limitations of online support were identified, including a lack of responses and difficulties in maintaining relationships outside the online group context. This study suggests that online support groups may offer the potential to support family members of children with cancer. In particular, it may be a useful resource for those seeking emotional and information support. However, there may be limitations associated with the use of online support groups. © 2011 Blackwell Publishing Ltd.

Internal and External Factors That Support Children's Minority First Language and English.

Science.gov (United States)

Pham, Giang; Tipton, Timothy

2018-05-22

Sequential bilingual children in the United States often speak 2 languages that have different social statuses (minority-majority) and separate contexts for learning (home-school). Thus, distinct factors may support the development of each language. This study examined which child internal and external factors were related to vocabulary skills in a minority language versus English. Participants included 69 children, aged 5-8 years, who lived in Southern California, spoke Vietnamese as the home language, and received school instruction in English. All participants had at least 1 foreign-born parent, and most mothers reported limited English proficiency. Parents completed a telephone survey, and children completed measures of receptive and expressive vocabulary in each language. Using correlations and stepwise regression, we examined predictors of vocabulary skills in each language that were internal to the child (age, gender, analytical reasoning, phonological memory) or that pertained to the surrounding environment (cumulative exposure, quantity and quality of input/output). Vietnamese vocabulary outcomes were related to multiple external factors, of which input and enrichment activities were the best predictors. In contrast, English vocabulary outcomes were related to internal factors, of which age and phonological memory were the best predictors. Parental use of Vietnamese contributed to children's Vietnamese vocabulary outcomes but was not related to children's English vocabulary outcomes. Vietnamese exposure does not hinder English development. Children from immigrant families are learning English with or without familial support. Rich and frequent exposure and opportunities for practice are essential for the continued development of a minority first language.

Analysis of vector boson production within TMD factorization

International Nuclear Information System (INIS)

Scimemi, Ignazio; Vladimirov, Alexey

2018-01-01

We present a comprehensive analysis and extraction of the unpolarized transverse momentum dependent (TMD) parton distribution functions, which are fundamental constituents of the TMD factorization theorem. We provide a general review of the theory of TMD distributions, and present a new scheme of scale fixation. This scheme, called the ζ-prescription, allows to minimize the impact of perturbative logarithms in a large range of scales and does not generate undesired power corrections. Within ζ-prescription we consistently include the perturbatively calculable parts up to next-to-next-to-leading order (NNLO), and perform the global fit of the Drell-Yan and Z-boson production, which include the data of E288, Tevatron and LHC experiments. The non-perturbative part of the TMDs are explored checking a variety of models. We support the obtained results by a study of theoretical uncertainties, perturbative convergence, and a dedicated study of the range of applicability of the TMD factorization theorem. The considered non-perturbative models present significant differences in the fitting behavior, which allow us to clearly disfavor most of them. The numerical evaluations are provided by the arTeMiDe code, which is introduced in this work and that can be used for current/future TMD phenomenology. (orig.)

Analysis of vector boson production within TMD factorization

Energy Technology Data Exchange (ETDEWEB)

Scimemi, Ignazio [Universidad Complutense de Madrid, Departamento de Fisica Teorica, Madrid (Spain); Vladimirov, Alexey [Universitaet Regensburg, Institut fuer Theoretische Physik, Regensburg (Germany)

2018-02-15

We present a comprehensive analysis and extraction of the unpolarized transverse momentum dependent (TMD) parton distribution functions, which are fundamental constituents of the TMD factorization theorem. We provide a general review of the theory of TMD distributions, and present a new scheme of scale fixation. This scheme, called the ζ-prescription, allows to minimize the impact of perturbative logarithms in a large range of scales and does not generate undesired power corrections. Within ζ-prescription we consistently include the perturbatively calculable parts up to next-to-next-to-leading order (NNLO), and perform the global fit of the Drell-Yan and Z-boson production, which include the data of E288, Tevatron and LHC experiments. The non-perturbative part of the TMDs are explored checking a variety of models. We support the obtained results by a study of theoretical uncertainties, perturbative convergence, and a dedicated study of the range of applicability of the TMD factorization theorem. The considered non-perturbative models present significant differences in the fitting behavior, which allow us to clearly disfavor most of them. The numerical evaluations are provided by the arTeMiDe code, which is introduced in this work and that can be used for current/future TMD phenomenology. (orig.)

Environmental determinants of cardiovascular diseases risk factors: a qualitative directed content analysis.

Science.gov (United States)

Sabzmakan, Leila; Mohammadi, Eesa; Morowatisharifabad, Mohammad Ali; Afaghi, Ahmad; Naseri, Mohammad Hassan; Mirzaei, Masoud

2014-05-01

Cardiovascular diseases (CVDs) are the number one cause of death in the world. In most analyses of health problems, environment plays a significant and modifiable role in causing the problem either directly or indirectly through behavior. This study aims to understand the patients and healthcare providers' experiences about the environmental determinants of CVD risk factors based on the Precede Model. This qualitative study conducted over six months in 2012 at Diabetes Units of Health Centers associated with Alborz University of Medical Sciences and Health Services which is located in Karaj, Iran. The data were collected based on individual semi-structured interviews with 50 patients and 12 healthcare providers. Data analysis was performed simultaneous with data collection using the content analysis directed method. Lack of behaviors like stress control, healthy eating and physical activity were the roots of the risk factors for CVD. The environmental factor is one of the barriers for conducting these behaviors. The environmental barriers included of structural environment including "availability and accessibility of health resources", "new skills", and "law and policies" which are located in enabling category and social environment including "social support", "motivation to comply" and "consequences of behavior" which are located in reinforcing category. The most barriers to performing health behaviors were often structural. The environmental factors were barriers for doing healthy behaviors. These factors need to be considered to design health promotion interventions. Policymakers should not only focus on patients' education but also should provide specific facilities to enhance economic, social and cultural status.

Depressive symptoms in middle-aged women are more strongly associated with physical health and social support than with socioeconomic factors

DEFF Research Database (Denmark)

Aro, A R; Nyberg, N; Absetz, P

2001-01-01

The association of socioeconomic factors, health-related factors, and social support with depressive symptoms has been extensively studied. However, most epidemiological studies have focused on a few factors such as marital status, social class, and employment. In this study of middle-aged women we...... analyzed both univariate and multivariate associations of socioeconomic factors, perceived physical health factors, and social support with self-rated depressive symptoms measured with the Beck Depression Inventory. A nationwide sample (n = 1851) of Finnish women aged 48-50 years was analyzed....... Socioeconomic, health-related, and social support factors were all measured with single items. All variables, except level of urbanization, were significantly associated with depressive symptoms in univariate analyses. Multivariate associations were examined with standard multiple regression analyses in three...

Positive Behavior Support and Applied Behavior Analysis

Science.gov (United States)

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

2006-01-01

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

Using BMDP and SPSS for a Q factor analysis.

Science.gov (United States)

Tanner, B A; Koning, S M

1980-12-01

While Euclidean distances and Q factor analysis may sometimes be preferred to correlation coefficients and cluster analysis for developing a typology, commercially available software does not always facilitate their use. Commands are provided for using BMDP and SPSS in a Q factor analysis with Euclidean distances.

Evaluation of User Support: Factors That Affect User Satisfaction With Helpdesks and Helplines

NARCIS (Netherlands)

van Velsen, Lex Stefan; Steehouder, M.F.; de Jong, Menno D.T.

2007-01-01

In addition to technical documentation, face-to-face helpdesks and telephonic helplines are a powerful means for supporting users of technical products and services. This study investigates the factors that determine user satisfaction with helpdesks and helplines. A survey, based on the SERVQUAL

Support vector regression model for the estimation of γ-ray buildup factors for multi-layer shields

International Nuclear Information System (INIS)

Trontl, Kresimir; Smuc, Tomislav; Pevec, Dubravko

2007-01-01

The accuracy of the point-kernel method, which is a widely used practical tool for γ-ray shielding calculations, strongly depends on the quality and accuracy of buildup factors used in the calculations. Although, buildup factors for single-layer shields comprised of a single material are well known, calculation of buildup factors for stratified shields, each layer comprised of different material or a combination of materials, represent a complex physical problem. Recently, a new compact mathematical model for multi-layer shield buildup factor representation has been suggested for embedding into point-kernel codes thus replacing traditionally generated complex mathematical expressions. The new regression model is based on support vector machines learning technique, which is an extension of Statistical Learning Theory. The paper gives complete description of the novel methodology with results pertaining to realistic engineering multi-layer shielding geometries. The results based on support vector regression machine learning confirm that this approach provides a framework for general, accurate and computationally acceptable multi-layer buildup factor model

Classification of Support Needs for Elderly Outpatients with Diabetes Who Live Alone.

Science.gov (United States)

Miyawaki, Yoshiko; Shimizu, Yasuko; Seto, Natsuko

2016-02-01

To investigate the support needs of elderly patients with diabetes and to classify elderly patients with diabetes living alone on the basis of support needs. Support needs were derived from a literature review of relevant journals and interviews of outpatients as well as expert nurses in the field of diabetes to prepare a 45-item questionnaire. Each item was analyzed on a 4-point Likert scale. The study included 634 elderly patients with diabetes who were recruited from 3 hospitals in Japan. Exploratory factor analysis was performed to determine the underlying structure of support needs, followed by hierarchical cluster analysis to clarify the characteristics of patients living alone (n=104) who had common support needs. Exploratory factor analysis suggested a 5-factor solution with 23 items: (1) hope for class and gatherings, (2) hope for personal advice including emergency response, (3) supportlessness and hopelessness, (4) barriers to food preparation, (5) hope of safe medical therapy. The hierarchical cluster analysis of subjects yielded 7 clusters, including a no special-support needs group, a collective support group, a self-care support group, a personal-support focus group, a life-support group, a food-preparation support group and a healthcare-environment support group. The support needs of elderly patients with diabetes who live alone can be divided into 2 categories: life and self-care support. Implementation of these categories in outpatient-management programs in which contact time with patients is limited is important in the overall management of elderly patients with diabetes who are living alone. Copyright © 2015 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

Exploring Technostress: Results of a Large Sample Factor Analysis

Directory of Open Access Journals (Sweden)

Steponas Jonušauskas

2016-06-01

Full Text Available With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ answers, revealing technostress causes and consequences as well as technostress prevalence in the population in a statistically validated pattern. A key elements of technostress based on factor analysis can serve for the construction of technostress measurement scales in further research.

Exploring Technostress: Results of a Large Sample Factor Analysis

OpenAIRE

Jonušauskas, Steponas; Raišienė, Agota Giedrė

2016-01-01

With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ an...

Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete.

Science.gov (United States)

Karydas, Christos G; Sekuloska, Tijana; Silleos, Georgios N

2009-02-01

Due to inappropriate agricultural management practices, soil erosion is becoming one of the most dangerous forms of soil degradation in many olive farming areas in the Mediterranean region, leading to significant decrease of soil fertility and yield. In order to prevent further soil degradation, proper measures are necessary to be locally implemented. In this perspective, an increase in the spatial accuracy of remote sensing datasets and advanced image analysis are significant tools necessary and efficient for mapping soil erosion risk on a fine scale. In this study, the Revised Universal Soil Loss Equation (RUSLE) was implemented in the spatial domain using GIS, while a very high resolution satellite image, namely a QuickBird image, was used for deriving cover management (C) and support practice (P) factors, in order to map the risk of soil erosion in Kolymvari, a typical olive farming area in the island of Crete, Greece. The results comprised a risk map of soil erosion when P factor was taken uniform (conventional approach) and a risk map when P factor was quantified site-specifically using object-oriented image analysis. The results showed that the QuickBird image was necessary in order to achieve site-specificity of the P factor and therefore to support fine scale mapping of soil erosion risk in an olive cultivation area, such as the one of Kolymvari in Crete. Increasing the accuracy of the QB image classification will further improve the resulted soil erosion mapping.

Factor analysis improves the selection of prescribing indicators

DEFF Research Database (Denmark)

Rasmussen, Hanne Marie Skyggedal; Søndergaard, Jens; Sokolowski, Ineta

2006-01-01

OBJECTIVE: To test a method for improving the selection of indicators of general practitioners' prescribing. METHODS: We conducted a prescription database study including all 180 general practices in the County of Funen, Denmark, approximately 472,000 inhabitants. Principal factor analysis was us...... appropriate and inappropriate prescribing, as revealed by the correlation of the indicators in the first factor. CONCLUSION: Correlation and factor analysis is a feasible method that assists the selection of indicators and gives better insight into prescribing patterns....

Safety analysis in support of regulatory decision marking

International Nuclear Information System (INIS)

Pomier Baez, L.; Troncoso Fleitas, M.; Valhuerdi Debesa, C.; Valle Cepero, R.; Hernandez, J.L.

1996-01-01

Features of different safety analysis techniques by means of calculation thermohydraulic a probabilistic and severe accidents used in the safety assessment, as well as the development of these techniques in Cuba and their use in support of regulatory decision making are presented

Exploratory factor analysis of Kenny Music Performance Anxiety Inventory (K-MPAI in a Brazilian musician sample

Directory of Open Access Journals (Sweden)

Ana Elisa Medeiros Barbar

2015-10-01

Full Text Available Abstract Background The Kenny Music Performance Anxiety Inventory (K-MPAI is very significant among the available instruments which measures Musical Performance Anxiety (MPA. Objective The aim of this study is to find evidence of validity of the Kenny Music Performance Anxiety Inventory (K-MPAI, in its translated and adapted Brazilian version, through the study of its factor structure. Methods A convenience sample of 230 amateur musicians completed the K-MPAI. Results The initial factor analysis yielded eight factors, explaining 62.4% of variance. However, due to the factors’ composition and internal consistency values lower than 0.50, the number of factors was later set at three, considering the internal consistency of those, the theoretical propositions and symptomatology aspects that supported the construction of scale. They were named “Worries and insecurity” (α = 0.82, “Depression and hopelessness” (α = 0.77 and “Early parental relationships” (α = 0.57. Discussion/Conclusions These results point to the scale’s construct validity, since they support the theoretical basis used for the development of the K-MPAI and the clinical manifestations of the MPA.

Human factors analysis of incident/accident report

International Nuclear Information System (INIS)

Kuroda, Isao

1992-01-01

Human factors analysis of accident/incident has different kinds of difficulties in not only technical, but also psychosocial background. This report introduces some experiments of 'Variation diagram method' which is able to extend to operational and managemental factors. (author)

Text mining factor analysis (TFA) in green tea patent data

Science.gov (United States)

Rahmawati, Sela; Suprijadi, Jadi; Zulhanif

2017-03-01

Factor analysis has become one of the most widely used multivariate statistical procedures in applied research endeavors across a multitude of domains. There are two main types of analyses based on factor analysis: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Both EFA and CFA aim to observed relationships among a group of indicators with a latent variable, but they differ fundamentally, a priori and restrictions made to the factor model. This method will be applied to patent data technology sector green tea to determine the development technology of green tea in the world. Patent analysis is useful in identifying the future technological trends in a specific field of technology. Database patent are obtained from agency European Patent Organization (EPO). In this paper, CFA model will be applied to the nominal data, which obtain from the presence absence matrix. While doing processing, analysis CFA for nominal data analysis was based on Tetrachoric matrix. Meanwhile, EFA model will be applied on a title from sector technology dominant. Title will be pre-processing first using text mining analysis.

People, organizational, and leadership factors impacting informatics support for clinical and translational research

Directory of Open Access Journals (Sweden)

Payne Philip RO

2013-02-01

Full Text Available Abstract Background In recent years, there have been numerous initiatives undertaken to describe critical information needs related to the collection, management, analysis, and dissemination of data in support of biomedical research (J Investig Med 54:327-333, 2006; (J Am Med Inform Assoc 16:316–327, 2009; (Physiol Genomics 39:131-140, 2009; (J Am Med Inform Assoc 18:354–357, 2011. A common theme spanning such reports has been the importance of understanding and optimizing people, organizational, and leadership factors in order to achieve the promise of efficient and timely research (J Am Med Inform Assoc 15:283–289, 2008. With the emergence of clinical and translational science (CTS as a national priority in the United States, and the corresponding growth in the scale and scope of CTS research programs, the acuity of such information needs continues to increase (JAMA 289:1278–1287, 2003; (N Engl J Med 353:1621–1623, 2005; (Sci Transl Med 3:90, 2011. At the same time, systematic evaluations of optimal people, organizational, and leadership factors that influence the provision of data, information, and knowledge management technologies and methods are notably lacking. Methods In response to the preceding gap in knowledge, we have conducted both: 1 a structured survey of domain experts at Academic Health Centers (AHCs; and 2 a subsequent thematic analysis of public-domain documentation provided by those same organizations. The results of these approaches were then used to identify critical factors that may influence access to informatics expertise and resources relevant to the CTS domain. Results A total of 31 domain experts, spanning the Biomedical Informatics (BMI, Computer Science (CS, Information Science (IS, and Information Technology (IT disciplines participated in a structured surveyprocess. At a high level, respondents identified notable differences in theaccess to BMI, CS, and IT expertise and services depending on the

Factors Considered by Elementary Teachers When Developing and Modifying Mathematical Tasks to Support Children's Mathematical Thinking

Science.gov (United States)

Fredenberg, Michael Duane

The idea that problems and tasks play a pivotal role in a mathematics lesson has a long standing in mathematics education research. Recent calls for teaching reform appeal for training teachers to better understand how students learn mathematics and to employ students' mathematical thinking as the basis for pedagogy (CCSSM, 2010; NCTM, 2000; NRC 1999). The teaching practices of (a) developing a task for a mathematics lesson and, (b) modifying the task for students while enacting the lesson fit within the scope of supporting students' mathematical thinking. Surprisingly, an extensive search of the literature did not yield any research aimed to identify and refine the constituent parts of the aforementioned teaching practices in the manner called for by Grossman and xiii colleagues (2009). Consequently, my research addresses the two questions: (a) what factors do exemplary elementary teachers consider when developing a task for a mathematics lesson? (b) what factors do they consider when they modify a task for a student when enacting a lesson? I conducted a multiple case study involving three elementary teachers, each with extensive training in the area of Cognitively Guided Instruction (CGI), as well as several years experience teaching mathematics following the principles of CGI (Carpenter et al., 1999). I recorded video of three mathematics lessons with each participant and after each lesson I conducted a semi-structured stimulated recall interview. A subsequent follow-up clinical interview was conducted soon thereafter to further explore the teacher's thoughts (Ginsberg, 1997). In addition, my methodology included interjecting myself at select times during a lesson to ask the teacher to explain her reasoning. Qualitative analysis led to a framework that identified four categories of influencing factors and seven categories of supporting objectives for the development of a task. Subsets of these factors and objectives emerged as particularly relevant when the

Do Maternal Caregiver Perceptions of Childhood Obesity Risk Factors and Obesity Complications Predict Support for Prevention Initiatives Among African Americans?

Science.gov (United States)

Alexander, Dayna S; Alfonso, Moya L; Cao, Chunhua; Wright, Alesha R

2017-07-01

Objectives African American maternal caregiver support for prevention of childhood obesity may be a factor in implementing, monitoring, and sustaining children's positive health behaviors. However, little is known about how perceptions of childhood obesity risk factors and health complications influence caregivers' support of childhood obesity prevention strategies. The objective of this study was to determine if childhood obesity risk factors and health complications were associated with maternal caregivers' support for prevention initiatives. Methods A convenience sample of maternal caregivers (N = 129, ages 22-65 years) completed the childhood obesity perceptions (COP) survey. A linear regression was conducted to determine whether perceptions about childhood obesity risk factors and subsequent health complications influenced caregivers' support for prevention strategies. Results Caregivers' perceptions of childhood obesity risk factors were moderate (M = 3.4; SD = 0.64), as were their perceptions of obesity-related health complications (M = 3.3; SD = 0.75); however, they perceived a high level of support for prevention strategies (M = 4.2; SD = 0.74). In the regression model, only health complications were significantly associated with caregiver support (β = 0.348; p obesity prevention efforts should emphasize health complications by providing education and strategies that promote self-efficacy and outcome expectations among maternal caregivers.

Factor analysis of the hospital anxiety and depression scale among a Huntington's disease population

DEFF Research Database (Denmark)

Dale, Maria; Maltby, John; Martucci, Rossana

2015-01-01

INTRODUCTION: Depression and anxiety are common in Huntington's disease, a genetic neurodegenerative disorder. There is a need for measurement tools of mood to be validated within a Huntington's disease population. The current study aimed to analyze the factor structure of the Hospital Anxiety...... and Depression Scale in Huntington's disease. METHODS: Data from the European Huntington's Disease Network study REGISTRY 3 were used to undertake a factor analysis of the scale among a sample of 492 Huntington's disease mutation carriers. The sample was randomly divided into two equal subsamples...... support for an eight-item version of the scale to be used as a measure of general distress within Huntington's disease populations. © 2015 International Parkinson and Movement Disorder Society....

Analysis of technological, institutional and socioeconomic factors ...

African Journals Online (AJOL)

Analysis of technological, institutional and socioeconomic factors that influences poor reading culture among secondary school students in Nigeria. ... Proliferation and availability of smart phones, chatting culture and social media were identified as technological factors influencing poor reading culture among secondary ...

Exploratory Analysis of the Factors Affecting Consumer Choice in E-Commerce: Conjoint Analysis

Directory of Open Access Journals (Sweden)

Elena Mazurova

2017-05-01

Full Text Available According to previous studies of online consumer behaviour, three factors are the most influential on purchasing behavior - brand, colour and position of the product on the screen. However, a simultaneous influence of these three factors on the consumer decision making process has not been investigated previously. In this particular work we aim to execute a comprehensive study of the influence of these three factors. In order to answer our main research questions, we conducted an experiment with 96 different combinations of the three attributes, and using statistical analysis, such as conjoint analysis, t-test analysis and Kendall analysis we identified that the most influential factor to the online consumer decision making process is brand, the second most important attribute is the colour, which was estimated half as important as brand, and the least important attribute is the position on the screen. Additionally, we identified the main differences regarding consumers stated and revealed preferences regarding these three attributes.

A factor analysis to find critical success factors in retail brand

Directory of Open Access Journals (Sweden)

Naser Azad

2013-03-01

Full Text Available The present exploratory study aims to find critical components of retail brand among some retail stores. The study seeks to build a brand name in retail level and looks to find important factors affecting it. Customer behavior is largely influenced when the first retail customer experience is formed. These factors have direct impacts on customer experience and satisfaction in retail industry. The proposed study performs an empirical investigation on two well-known retain stores located in city of Tehran, Iran. Using a sample of 265 people from regular customers, the study uses factor analysis and extracts four main factors including related brand, product benefits, customer welfare strategy and corporate profits using the existing 31 factors in the literature.

Supporting and Constraining Factors in the Development of University Teaching Experienced by Teachers

Science.gov (United States)

Jääskelä, Päivikki; Häkkinen, Päivi; Rasku-Puttonen, Helena

2017-01-01

Higher education calls for reform, but deeper knowledge about the prerequisites for teaching development and pedagogical change is missing. In this study, 51 university teachers' experiences of supportive or constraining factors in teaching development were investigated in the context of Finland's multidisciplinary network. The findings reveal…

Exploring leadership styles for innovation: an exploratory factor analysis

Directory of Open Access Journals (Sweden)

Wipulanusat Warit

2017-03-01

Full Text Available Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS, using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.

A fractionally cointegrated VAR analysis of economic voting and political support

DEFF Research Database (Denmark)

Jones, Maggie E. C.; Ørregård Nielsen, Morten; Popiel, Michael Ksawery

We use a fractionally cointegrated vector autoregressive model to examine the relationship between Canadian political support and macroeconomic conditions. This model is well suited for the analysis because it allows multiple fractional time series and admits simple asymptotic inference for the m......We use a fractionally cointegrated vector autoregressive model to examine the relationship between Canadian political support and macroeconomic conditions. This model is well suited for the analysis because it allows multiple fractional time series and admits simple asymptotic inference...... for the model parameters and tests of the hypotheses of interest. In the long-run equilibrium, we find that support for the Progressive Conservative Party was higher during periods of high interest rates and low unemployment, while support for the Liberal Party was higher during periods of low interest rates...

Integration of a satellite ground support system based on analysis of the satellite ground support domain

Science.gov (United States)

Pendley, R. D.; Scheidker, E. J.; Levitt, D. S.; Myers, C. R.; Werking, R. D.

1994-11-01

This analysis defines a complete set of ground support functions based on those practiced in real space flight operations during the on-orbit phase of a mission. These functions are mapped against ground support functions currently in use by NASA and DOD. Software components to provide these functions can be hosted on RISC-based work stations and integrated to provide a modular, integrated ground support system. Such modular systems can be configured to provide as much ground support functionality as desired. This approach to ground systems has been widely proposed and prototyped both by government institutions and commercial vendors. The combined set of ground support functions we describe can be used as a standard to evaluate candidate ground systems. This approach has also been used to develop a prototype of a modular, loosely-integrated ground support system, which is discussed briefly. A crucial benefit to a potential user is that all the components are flight-qualified, thus giving high confidence in their accuracy and reliability.

Licensing Support System: Preliminary data scope analysis

International Nuclear Information System (INIS)

1989-01-01

The purpose of this analysis is to determine the content and scope of the Licensing Support System (LSS) data base. Both user needs and currently available data bases that, at least in part, address those needs have been analyzed. This analysis, together with the Preliminary Needs Analysis (DOE, 1988d) is a first effort under the LSS Design and Implementation Contract toward developing a sound requirements foundation for subsequent design work. These reports are preliminary. Further refinements must be made before requirements can be specified in sufficient detail to provide a basis for suitably specific system specifications. This document provides a baseline for what is known at this time. Additional analyses, currently being conducted, will provide more precise information on the content and scope of the LSS data base. 23 refs., 4 figs., 8 tabs

Development of a Human Performance Evaluation Support System for Human Factors Validation of MCR MMI Design in APR-1400

International Nuclear Information System (INIS)

Ha, Jun Su; Seong, Poong Hyun

2005-01-01

As CRT-based display and advanced information technology were applied to advanced reactors such as APR-1400 (Advanced Power Reactor-1400), human operators' tasks became more cognitive works. As a results, Human Factors Engineering (HFE) became more important in designing the MCR (Main Control Room) MMI (Man-Machine Interface) of an advanced reactor. According to the Human Factors Engineering Program Review Model, human factors validation of MCR MMI design should be performed through performance-based tests to determine whether it acceptably supports safe operation of the plant. In order to support the evaluation of the performance, a HUman Performance Evaluation Support System (HUPESS) is in development

The Factors That Influence and Protect Against Power Imbalance in Covert Bullying Among Preadolescent Children at School: A Thematic Analysis.

Science.gov (United States)

Nelson, Helen J; Burns, Sharyn K; Kendall, Garth E; Schonert-Reichl, Kimberly A

2017-01-01

In this article, the perceptions of preadolescent children (ages 9-11) regarding factors that influence and protect against power imbalance associated with covert aggression and bullying are explored. In aggression research, the term covert has been typically used to describe relational, indirect, and social acts of aggression that are hidden. These behaviors contrast with overt physical and verbal aggression. Children have previously conveyed their belief that covert aggression is harmful because adults do not see it even though children, themselves, are aware. We used focus groups to explore children's understanding of covert aggression and to identify children's experience and perception of adult support in relation to bullying. Thematic analysis supported the definition of covert aggression as that which is intentionally hidden from adults. Friendship, social exclusion, and secret from teacher were identified as factors that influence power imbalance, while support from friends and adult support protected against power imbalance.

Analysis and Assessment of Computer-Supported Collaborative Learning Conversations

NARCIS (Netherlands)

Trausan-Matu, Stefan

2008-01-01

Trausan-Matu, S. (2008). Analysis and Assessment of Computer-Supported Collaborative Learning Conversations. Workshop presentation at the symposium Learning networks for professional. November, 14, 2008, Heerlen, Nederland: Open Universiteit Nederland.

SPATIAL ANALYSIS TO SUPPORT GEOGRAPHIC TARGETING OF GENOTYPES TO ENVIRONMENTS

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Glenn eHyman

2013-03-01

Full Text Available Crop improvement efforts have benefited greatly from advances in available data, computing technology and methods for targeting genotypes to environments. These advances support the analysis of genotype by environment interactions to understand how well a genotype adapts to environmental conditions. This paper reviews the use of spatial analysis to support crop improvement research aimed at matching genotypes to their most appropriate environmental niches. Better data sets are now available on soils, weather and climate, elevation, vegetation, crop distribution and local conditions where genotypes are tested in experimental trial sites. The improved data are now combined with spatial analysis methods to compare environmental conditions across sites, create agro-ecological region maps and assess environment change. Climate, elevation and vegetation data sets are now widely available, supporting analyses that were much more difficult even five or ten years ago. While detailed soil data for many parts of the world remains difficult to acquire for crop improvement studies, new advances in digital soil mapping are likely to improve our capacity. Site analysis and matching and regional targeting methods have advanced in parallel to data and technology improvements. All these developments have increased our capacity to link genotype to phenotype and point to a vast potential to improve crop adaptation efforts.

Nutritional support in chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Science.gov (United States)

Collins, Peter F; Stratton, Rebecca J; Elia, Marinos

2012-06-01

The efficacy of nutritional support in the management of malnutrition in chronic obstructive pulmonary disease (COPD) is controversial. Previous meta-analyses, based on only cross-sectional analysis at the end of intervention trials, found no evidence of improved outcomes. The objective was to conduct a meta-analysis of randomized controlled trials (RCTs) to clarify the efficacy of nutritional support in improving intake, anthropometric measures, and grip strength in stable COPD. Literature databases were searched to identify RCTs comparing nutritional support with controls in stable COPD. Thirteen RCTs (n = 439) of nutritional support [dietary advice (1 RCT), oral nutritional supplements (ONS; 11 RCTs), and enteral tube feeding (1 RCT)] with a control comparison were identified. An analysis of the changes induced by nutritional support and those obtained only at the end of the intervention showed significantly greater increases in mean total protein and energy intakes with nutritional support of 14.8 g and 236 kcal daily. Meta-analyses also showed greater mean (±SE) improvements in favor of nutritional support for body weight (1.94 ± 0.26 kg, P groups. This systematic review and meta-analysis showed that nutritional support, mainly in the form of ONS, improves total intake, anthropometric measures, and grip strength in COPD. These results contrast with the results of previous analyses that were based on only cross-sectional measures at the end of intervention trials.

Advanced method used for hypertension’s risk factors stratification: support ‎vector machines and gravitational search algorithm

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Alireza Khosravi

2015-12-01

Full Text Available BACKGROUND: The aim of this study is to present an objective method based on support vector machines (SVMs and gravitational search algorithm (GSA which is initially utilized for recognition the pattern among risk factors and hypertension (HTN to stratify and analysis HTN’s risk factors in an Iranian urban population. METHODS: This community-based and cross-sectional research has been designed based on the probabilistic sample of residents of Isfahan, Iran, aged 19 years or over from 2001 to 2007. One of the household members was randomly selected from different age groups. Selected individuals were invited to a predefined health center to be educated on how to collect 24-hour urine sample as well as learning about topographic parameters and blood pressure measurement. The data from both the estimated and measured blood pressure [for both systolic blood pressure (SBP and diastolic blood pressure (DBP] demonstrated that optimized SVMs have a highest estimation potential. RESULTS: This result was particularly more evident when SVMs performance is evaluated with regression and generalized linear modeling (GLM as common methods. Blood pressure risk factors impact analysis shows that age has the highest impact level on SBP while it falls second on the impact level ranking on DBP. The results also showed that body mass index (BMI falls first on the impact level ranking on DBP while have a lower impact on SBP. CONCLUSION: Our analysis suggests that salt intake could efficiently influence both DBP and SBP with greater impact level on SBP. Therefore, controlling salt intake may lead to not only control of HTN but also its prevention.

Development of Chinese Military Personnel Social Support Scale and tests for its reliability and validity

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Kai-hong TANG

2013-01-01

Full Text Available Objective 　To develop Chinese Military Personnel Social Support Scaleand verify its reliability and validity. Methods 　The Chinese Military Personnel Social Support Scalewas initiated, organized and compiled based upon open-ended questionnaire survey done in a systematic manner, and previous researches were taken as references. A total of 630 military personnel were chosen by random cluster sampling and tested with the Scale, among them 50 were tested with Social Support Rating Scale(SSRS and Chinese Military Psychosomatic Health Scale(CMPHS simultaneously, and the test was done solely a second time with CMPHS 2 weeks later. The reliability and validity were assessed and verified by exploratory factor analysis, confirmatory factor analysis and correlation analysis. Results 　The Chinese Military Personnel Social Support Scalecomprised three factors, namely subjective support, objective support and utility of social support. Eighteen items were left in official scale after amendment by factor analysis, and one lying subscale was added. The correlation coefficients between the public factors ranged from 0.477 to 0.589 (P<0.01, and the correlation coefficients between factors and total scale ranged from 0.721 to 0.823 (P<0.01. The test-retest correlation coefficients of total scale and subscales ranged from 0.622 to 0.803 (P<0.01, the Cronbach α coefficients ranged from 0.624 to 0.874, and the split-half correlation coefficients ranged from 0.551 to 0.828. Significant correlation existed between this Scale and two criterion scales, namely SSRS and CMPHS. Conclusion 　It is verified that the Chinese Military Personnel Social Support Scalehas excellent reliability and validity, and complying with psychometric standards, it may be used to evaluate the social support level of Chinese military personnel.

Growth-supporting activity for Legionella pneumophila in tap water cultures and implication of hartmannellid amoebae as growth factors.

Science.gov (United States)

Wadowsky, R M; Butler, L J; Cook, M K; Verma, S M; Paul, M A; Fields, B S; Keleti, G; Sykora, J L; Yee, R B

1988-11-01

Photosynthetic cyanobacteria, heterotrophic bacteria, free-living amoebae, and ciliated protozoa may support growth of Legionella pneumophila. Studies were done with two tap water cultures (WS1 and WS2) containing L. pneumophila and associated microbiota to characterize growth-supporting activity and assess the relative importance of the microbiota in supporting multiplication of L. pneumophila. The water cultures were incubated in the dark at 35 degrees C. The growth-supporting factor(s) was separated from each culture by filtration through 1-micron-pore-size membrane filters. The retentate was then suspended in sterile tap water. Multiplication of L. pneumophila occurred when both the retentate suspension and the filtrate from either culture were inoculated into sterile tap water. L. pneumophila did not multiply in tap water inoculated with only the filtrate, even though filtration did not reduce the concentration of L. pneumophila or heterotrophic bacteria in either culture. Growth-supporting activity of the retentate suspension from WS1 was inactivated at 60 degrees C but unaffected at 0, 25, and 45 degrees C after 30-min incubations. Filtration experiments indicated that the growth-supporting factor(s) in WS1 was 2 to 5 micron in diameter. Ciliated protozoa were not detected in either culture. Hartmannellid amoebae were conclusively demonstrated in WS2 but not in WS1. L. pneumophila multiplied in tap water inoculated with the amoebae (10(3)/ml) and the 1-micron filtrate of WS2. No multiplication occurred in tap water inoculated with the filtrate only. Growth-supporting activity for L. pneumophila may be present in plumbing systems; hartmannellid amoebae appear to be important determinants of multiplication of L. pneumophila in some tap water cultures.

Factor analysis for exercise stress radionuclide ventriculography

International Nuclear Information System (INIS)

Hirota, Kazuyoshi; Yasuda, Mitsutaka; Oku, Hisao; Ikuno, Yoshiyasu; Takeuchi, Kazuhide; Takeda, Tadanao; Ochi, Hironobu

1987-01-01

Using factor analysis, a new image processing in exercise stress radionuclide ventriculography, changes in factors associated with exercise were evaluated in 14 patients with angina pectoris or old myocardial infarction. The patients were imaged in the left anterior oblique projection, and three factor images were presented on a color coded scale. Abnormal factors (AF) were observed in 6 patients before exercise, 13 during exercise, and 4 after exercise. In 7 patients, the occurrence of AF was associated with exercise. Five of them became free from AF after exercise. Three patients showing AF before exercise had aggravation of AF during exercise. Overall, the occurrence or aggravation of AF was associated with exercise in ten (71 %) of the patients. The other three patients, however, had disappearance of AF during exercise. In the last patient, none of the AF was observed throughout the study. In view of a high incidence of AF associated with exercise, the factor analysis may have the potential in evaluating cardiac reverse from the viewpoint of left ventricular wall motion abnormality. (Namekawa, K.)

Depression and Social Context: Primary Supporter Relationship Factors Associated with Depressive Symptoms among a Disadvantaged Population with HIV/AIDS

Science.gov (United States)

Knowlton, Amy R.; Curry, Aaron; Hua, Wei; Wissow, Lawrence

2009-01-01

Social support is associated with better health outcomes among chronically ill individuals, yet support receipt can be stressful. The study examined supporter relationship factors, among n = 156 main-supporter-HIV+support-recipient dyads, associated with recipient's depression (CES-D greater than or equal to 16). Results indicated that support…

SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) LANDSAT GEOLOGICAL SURVEY OF AL (GSA) ANALYSIS V1

Data.gov (United States)

National Aeronautics and Space Administration — The Sediment Analysis Network for Decision Support (SANDS) Landsat Geological Survey of AL (GSA) Analysis dataset analyzed changes in the coastal shoreline and...

Analysis of financial support for photovoltaic system installation with the economic simulation model

International Nuclear Information System (INIS)

Imamura, E.; Uchiyama, Y.

1994-01-01

The authors developed a penetration method of dispersed generation technologies and tried to investigate economic simulation on photovoltaic systems. The model is composed of several analysis modules; a technology application module, a regional meteorology module, cost modules such as capital cost, power generation cost, marginal cost and avoided cost, and a logistic penetration module. The database management system of application forms, meteorological data, energy demand and equipment costs is also developed to support the model. The main purpose of the study is to make clear impacts to the power supply configuration and cost/benefit effects when PV systems are installed into several different sectors in Japan. The ultimate potential of PV system is 235, 103MWp and its market potential is 15,172 MWp in Japan. Market penetration highly depends on cost learning factors of several components of PV system. The installed capacity with 50% subsidy is 5 times larger than that with 67%. In conclusion, it is feasible for government or utilities to financially support the promotion and installation of PV systems as the electricity supply system

Longevity of Emplacement Drift Ground Support Materials

International Nuclear Information System (INIS)

D.H.Tang

2001-01-01

The purpose of this analysis is to evaluate the factors affecting the longevity of emplacement drift ground support materials and to develop a basis for the selection of materials for ground support that will function throughout the preclosure period of a potential repository at Yucca Mountain. REV 01 ICN 01 of this analysis is developed in accordance with AP-3.10Q, Analyses and Models, Revision 2, ICN 4, and prepared in accordance with the Technical Work Plan for Subsurface Design Section FY 01 Work Activities (CRWMS M and O 2001a). The objective of this analysis is to update the previous analysis (CRWMS M and O 2000a) to account for related changes in the Ground Control System Description Document (CRWMS M and O 2000b), the Monitored Geologic Repository Project Description Document, which is included in the Requirements and Criteria for Implementing a Repository Design that can be Operated Over a Range of Thermal Modes (BSC 2001), input information, and in environmental conditions, and to provide updated information on candidate ground support materials. Candidate materials for ground support are carbon steel and cement grout. Steel is mainly used for steel sets, lagging, channel, rock bolts, and wire mesh. Cement grout is only considered in the case of grouted rock bolts. Candidate materials for the emplacement drift invert are carbon steel and granular natural material. Materials are evaluated for the repository emplacement drift environment based on the updated thermal loading condition and waste package design. The analysis consists of the following tasks: (1) Identify factors affecting the longevity of ground support materials for use in emplacement drifts. (2) Review existing documents concerning the behavior of candidate ground support materials during the preclosure period. (3) Evaluate impacts of temperature and radiation effects on mechanical and thermal properties of steel. Assess corrosion potential of steel at emplacement drift environment. (4

Hand function evaluation: a factor analysis study.

Science.gov (United States)

Jarus, T; Poremba, R

1993-05-01

The purpose of this study was to investigate hand function evaluations. Factor analysis with varimax rotation was used to assess the fundamental characteristics of the items included in the Jebsen Hand Function Test and the Smith Hand Function Evaluation. The study sample consisted of 144 subjects without disabilities and 22 subjects with Colles fracture. Results suggest a four factor solution: Factor I--pinch movement; Factor II--grasp; Factor III--target accuracy; and Factor IV--activities of daily living. These categories differentiated the subjects without Colles fracture from the subjects with Colles fracture. A hand function evaluation consisting of these four factors would be useful. Such an evaluation that can be used for current clinical purposes is provided.

Salivary SPECT and factor analysis in Sjoegren's syndrome

International Nuclear Information System (INIS)

Nakamura, T.; Oshiumi, Y.; Yonetsu, K.; Muranaka, T.; Sakai, K.; Kanda, S.; National Fukuoka Central Hospital

1991-01-01

Salivary SPECT and factor analysis in Sjoegren's syndrome were performed in 17 patients and 6 volunteers as controls. The ability of SPECT to detect small differences in the level of uptake can be used to separate glands from background even when uptake is reduced as in the patients with Sjoegren's syndrome. In control and probable Sjoegren's syndrome groups the uptake ratio of the submandibular gland to parotid gland on salivary SPECT (S/P ratio) was less than 1.0. However, in the definite Sjoergren's syndrome group, the ratio was more than 1.0. Moreover, the ratio in all patients with sialectasia, which is characteristic of Sjoegren's syndrome, was more than 1.0. Salivary factor analysis of normal parotid glands showed slowly increasing patterns of uptake and normal submandibular glands had rapidly increasing patterns of uptake. However, in the definite Sjoegren's syndrome group, the factor analysis patterns were altered, with slowly increasing patterns dominating both in the parotid and submandibular glands. These results suggest that the S/P ratio in salivary SPECT and salivary factor analysis provide additional radiologic criteria in diagnosing Sjoegren's syndrome. (orig.)

Physical activity and social support in adolescents: analysis of different types and sources of social support.

Science.gov (United States)

Mendonça, Gerfeson; Júnior, José Cazuza de Farias

2015-01-01

Little is known about the influence of different types and sources of social support on physical activity in adolescents. The aim of this study was to analyse the association between physical activity and different types and sources of social support in adolescents. The sample consisted of 2,859 adolescents between 14-19 years of age in the city of João Pessoa, in Northeastern Brazil. Physical activity was measured with a questionnaire and social support from parents and friends using a 10-item scale five for each group (type of support: encouragement, joint participation, watching, inviting, positive comments and transportation). Multivariable analysis showed that the types of support provided by parents associated with physical activity in adolescents were encouragement for females (P genders (males: P = 0.009; females: P physical activity varies according to its source, as well as the gender and age of the adolescents.

Risk factors associated with default from multi- and extensively drug-resistant tuberculosis treatment, Uzbekistan: a retrospective cohort analysis.

Science.gov (United States)

Lalor, Maeve K; Greig, Jane; Allamuratova, Sholpan; Althomsons, Sandy; Tigay, Zinaida; Khaemraev, Atadjan; Braker, Kai; Telnov, Oleksander; du Cros, Philipp

2013-01-01

The Médecins Sans Frontières project of Uzbekistan has provided multidrug-resistant tuberculosis treatment in the Karakalpakstan region since 2003. Rates of default from treatment have been high, despite psychosocial support, increasing particularly since programme scale-up in 2007. We aimed to determine factors associated with default in multi- and extensively drug-resistant tuberculosis patients who started treatment between 2003 and 2008 and thus had finished approximately 2 years of treatment by the end of 2010. A retrospective cohort analysis of multi- and extensively drug-resistant tuberculosis patients enrolled in treatment between 2003 and 2008 compared baseline demographic characteristics and possible risk factors for default. Default was defined as missing ≥60 consecutive days of treatment (all drugs). Data were routinely collected during treatment and entered in a database. Potential risk factors for default were assessed in univariate analysis using chi-square test and in multivariate analysis with logistic regression. 20% (142/710) of patients defaulted after a median of 6 months treatment (IQR 2.6-9.9). Factors associated with default included severity of resistance patterns (pre-extensively drug-resistant/extensively drug-resistant tuberculosis adjusted odds ratio 0.52, 95%CI: 0.31-0.86), previous default (2.38, 1.09-5.24) and age >45 years (1.77, 1.10-2.87). The default rate was 14% (42/294) for patients enrolled 2003-2006 and 24% (100/416) for 2007-2008 enrolments (p = 0.001). Default from treatment was high and increased with programme scale-up. It is essential to ensure scale-up of treatment is accompanied with scale-up of staff and patient support. A successful first course of tuberculosis treatment is important; patients who had previously defaulted were at increased risk of default and death. The protective effect of severe resistance profiles suggests that understanding disease severity or fear may motivate against default. Targeted

Dyadic confirmatory factor analysis of the inflammatory bowel disease family responsibility questionnaire.

Science.gov (United States)

Greenley, Rachel Neff; Reed-Knight, Bonney; Blount, Ronald L; Wilson, Helen W

2013-09-01

Evaluate the factor structure of youth and maternal involvement ratings on the Inflammatory Bowel Disease Family Responsibility Questionnaire, a measure of family allocation of condition management responsibilities in pediatric inflammatory bowel disease. Participants included 251 youth aged 11-18 years with inflammatory bowel disease and their mothers. Item-level descriptive analyses, subscale internal consistency estimates, and confirmatory factor analyses of youth and maternal involvement were conducted using a dyadic data-analytic approach. Results supported the validity of 4 conceptually derived subscales including general health maintenance, social aspects, condition management tasks, and nutrition domains. Additionally, results indicated adequate support for the factor structure of a 21-item youth involvement measure and strong support for a 16-item maternal involvement measure. Additional empirical support for the validity of the Inflammatory Bowel Disease Family Responsibility Questionnaire was provided. Future research to replicate current findings and to examine the measure's clinical utility is warranted.

A RESEARCH ON THE EFFECT OF ORGANIZATIONAL CLIMATE ON PERCEPTION OF SUPPORT FOR INNOVATION

Directory of Open Access Journals (Sweden)

GÖNÜL KAYA ÖZBAĞ

2013-06-01

Full Text Available The management of organizational climate is fairly important in terms of improving innovation in organizations. For that reason, the aim of this study is to investigate the effects of organizational climate dimensions (organizational encouragement, supervisory support, team support, otonomy, participation flexibility and communication on perception of support for innovation. Here the aim is trying to help administrators by determining the factors that increase or prevent innovation. Data obtained from 86 enterprises that are operating in Kocaeli is used in order to analyze the relationships among variables. After factor analysis, data is tested through correlation analysis and regression analysis. The findings of research indicate that organizational climate dimensions affect perception of support for innovation.

Strategic Analysis of Family Support in EHDI Systems

Science.gov (United States)

Bradham, Tamala S.; Houston, K. Todd; Guignard, Gayla Hutsell; Hoffman, Jeff

2011-01-01

State coordinators of early hearing detection and intervention (EHDI) programs completed a strengths, weaknesses, opportunities, and threats, or SWOT, analysis that examined 12 areas within state EHDI programs. For the family support area, 47 EHDI coordinators listed 255 items, and themes were identified within each category. A threats,…

A Distributed Simulation Facility to Support Human Factors Research in Advanced Air Transportation Technology

Science.gov (United States)

Amonlirdviman, Keith; Farley, Todd C.; Hansman, R. John, Jr.; Ladik, John F.; Sherer, Dana Z.

1998-01-01

A distributed real-time simulation of the civil air traffic environment developed to support human factors research in advanced air transportation technology is presented. The distributed environment is based on a custom simulation architecture designed for simplicity and flexibility in human experiments. Standard Internet protocols are used to create the distributed environment, linking all advanced cockpit simulator, all Air Traffic Control simulator, and a pseudo-aircraft control and simulation management station. The pseudo-aircraft control station also functions as a scenario design tool for coordinating human factors experiments. This station incorporates a pseudo-pilot interface designed to reduce workload for human operators piloting multiple aircraft simultaneously in real time. The application of this distributed simulation facility to support a study of the effect of shared information (via air-ground datalink) on pilot/controller shared situation awareness and re-route negotiation is also presented.

Support surfaces for pressure ulcer prevention: A network meta-analysis

Science.gov (United States)

Dumville, Jo C.; Cullum, Nicky

2018-01-01

Background Pressure ulcers are a prevalent and global issue and support surfaces are widely used for preventing ulceration. However, the diversity of available support surfaces and the lack of direct comparisons in RCTs make decision-making difficult. Objectives To determine, using network meta-analysis, the relative effects of different support surfaces in reducing pressure ulcer incidence and comfort and to rank these support surfaces in order of their effectiveness. Methods We conducted a systematic review, using a literature search up to November 2016, to identify randomised trials comparing support surfaces for pressure ulcer prevention. Two reviewers independently performed study selection, risk of bias assessment and data extraction. We grouped the support surfaces according to their characteristics and formed evidence networks using these groups. We used network meta-analysis to estimate the relative effects and effectiveness ranking of the groups for the outcomes of pressure ulcer incidence and participant comfort. GRADE was used to assess the certainty of evidence. Main results We included 65 studies in the review. The network for assessing pressure ulcer incidence comprised evidence of low or very low certainty for most network contrasts. There was moderate-certainty evidence that powered active air surfaces and powered hybrid air surfaces probably reduce pressure ulcer incidence compared with standard hospital surfaces (risk ratios (RR) 0.42, 95% confidence intervals (CI) 0.29 to 0.63; 0.22, 0.07 to 0.66, respectively). The network for comfort suggested that powered active air-surfaces are probably slightly less comfortable than standard hospital mattresses (RR 0.80, 95% CI 0.69 to 0.94; moderate-certainty evidence). Conclusions This is the first network meta-analysis of the effects of support surfaces for pressure ulcer prevention. Powered active air-surfaces probably reduce pressure ulcer incidence, but are probably less comfortable than standard

Support surfaces for pressure ulcer prevention: A network meta-analysis.

Science.gov (United States)

Shi, Chunhu; Dumville, Jo C; Cullum, Nicky

2018-01-01

Pressure ulcers are a prevalent and global issue and support surfaces are widely used for preventing ulceration. However, the diversity of available support surfaces and the lack of direct comparisons in RCTs make decision-making difficult. To determine, using network meta-analysis, the relative effects of different support surfaces in reducing pressure ulcer incidence and comfort and to rank these support surfaces in order of their effectiveness. We conducted a systematic review, using a literature search up to November 2016, to identify randomised trials comparing support surfaces for pressure ulcer prevention. Two reviewers independently performed study selection, risk of bias assessment and data extraction. We grouped the support surfaces according to their characteristics and formed evidence networks using these groups. We used network meta-analysis to estimate the relative effects and effectiveness ranking of the groups for the outcomes of pressure ulcer incidence and participant comfort. GRADE was used to assess the certainty of evidence. We included 65 studies in the review. The network for assessing pressure ulcer incidence comprised evidence of low or very low certainty for most network contrasts. There was moderate-certainty evidence that powered active air surfaces and powered hybrid air surfaces probably reduce pressure ulcer incidence compared with standard hospital surfaces (risk ratios (RR) 0.42, 95% confidence intervals (CI) 0.29 to 0.63; 0.22, 0.07 to 0.66, respectively). The network for comfort suggested that powered active air-surfaces are probably slightly less comfortable than standard hospital mattresses (RR 0.80, 95% CI 0.69 to 0.94; moderate-certainty evidence). This is the first network meta-analysis of the effects of support surfaces for pressure ulcer prevention. Powered active air-surfaces probably reduce pressure ulcer incidence, but are probably less comfortable than standard hospital surfaces. Most prevention evidence was of low or

Support surfaces for pressure ulcer prevention: A network meta-analysis.

Directory of Open Access Journals (Sweden)

Chunhu Shi

Full Text Available Pressure ulcers are a prevalent and global issue and support surfaces are widely used for preventing ulceration. However, the diversity of available support surfaces and the lack of direct comparisons in RCTs make decision-making difficult.To determine, using network meta-analysis, the relative effects of different support surfaces in reducing pressure ulcer incidence and comfort and to rank these support surfaces in order of their effectiveness.We conducted a systematic review, using a literature search up to November 2016, to identify randomised trials comparing support surfaces for pressure ulcer prevention. Two reviewers independently performed study selection, risk of bias assessment and data extraction. We grouped the support surfaces according to their characteristics and formed evidence networks using these groups. We used network meta-analysis to estimate the relative effects and effectiveness ranking of the groups for the outcomes of pressure ulcer incidence and participant comfort. GRADE was used to assess the certainty of evidence.We included 65 studies in the review. The network for assessing pressure ulcer incidence comprised evidence of low or very low certainty for most network contrasts. There was moderate-certainty evidence that powered active air surfaces and powered hybrid air surfaces probably reduce pressure ulcer incidence compared with standard hospital surfaces (risk ratios (RR 0.42, 95% confidence intervals (CI 0.29 to 0.63; 0.22, 0.07 to 0.66, respectively. The network for comfort suggested that powered active air-surfaces are probably slightly less comfortable than standard hospital mattresses (RR 0.80, 95% CI 0.69 to 0.94; moderate-certainty evidence.This is the first network meta-analysis of the effects of support surfaces for pressure ulcer prevention. Powered active air-surfaces probably reduce pressure ulcer incidence, but are probably less comfortable than standard hospital surfaces. Most prevention evidence was

Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: a sociotechnical analysis.

Science.gov (United States)

Sheehan, Barbara; Nigrovic, Lise E; Dayan, Peter S; Kuppermann, Nathan; Ballard, Dustin W; Alessandrini, Evaline; Bajaj, Lalit; Goldberg, Howard; Hoffman, Jeffrey; Offerman, Steven R; Mark, Dustin G; Swietlik, Marguerite; Tham, Eric; Tzimenatos, Leah; Vinson, David R; Jones, Grant S; Bakken, Suzanne

2013-10-01

Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site cross-sectional qualitative study whose aim was to describe the sociotechnical environment in the ED to inform the design of a CDSS intervention to implement the Pediatric Emergency Care Applied Research Network (PECARN) clinical prediction rules for children with minor blunt head trauma. Informed by a sociotechnical model consisting of eight dimensions, we conducted focus groups, individual interviews and workflow observations in 11 EDs, of which 5 were located in academic medical centers and 6 were in community hospitals. A total of 126 ED clinicians, information technology specialists, and administrators participated. We clustered data into 19 categories of sociotechnical factors through a process of thematic analysis and subsequently organized the categories into a sociotechnical matrix consisting of three high-level sociotechnical dimensions (workflow and communication, organizational factors, human factors) and three themes (interdisciplinary assessment processes, clinical practices related to prediction rules, EHR as a decision support tool). Design challenges that emerged from the analysis included the need to use structured data fields to support data capture and re-use while maintaining efficient care processes, supporting interdisciplinary communication, and facilitating family-clinician interaction for decision-making. Copyright © 2013 Elsevier Inc. All rights reserved.

Small business support of youth physical activity opportunities.

Science.gov (United States)

Suminski, Richard R; Ding, Ding

2012-01-01

Describe small business support for youth physical activity opportunities (YPAO) and identify factors associated with this support. Cross-sectional analysis of quantitative data relating business characteristics and support for YPAO. Eight demographically heterogeneous, urban neighborhoods in a Midwest metropolitan area. Adult small business owners (n = 90; 65% response rate; mean age 48.4 years; 73.3% male; 45.2% minority). Neighborhood demographics from the 2000 U.S. Census and self-reported business and owner characteristics. Multivariate analysis of variance was used to contrast business and owner characteristics between businesses that did and did not support YPAO. Businesses supporting YPAO had larger annual operating (F = 7.6; p = .018) and advertising budgets (F = 8.5; p = .009) and had younger owners (F = 6.1; p = .034), with sports backgrounds (χ(2) = 5.6; p = .018) and who felt businesses should support YPAO (χ(2) = 3.8; p = .048). Of the 46 businesses not supporting YPAO, 82.6% felt small businesses should support YPAO. The major reasons for nonsupport were difficulty identifying YPAO to support and not being asked for support. Business (e.g., budgets) and business owner characteristics (e.g., age), owner connectedness with YPAO, and the approach used for garnering support (active solicitation, clearly defined support mechanism) were associated with supporting YPAO. Additional business (e.g., annual revenues), owner (e.g., perceptions of YPAO), and environmental (e.g., crime rate, land use) factors should be examined as potential correlates.

MODIFICATION OF THE SPAR-H METHOD TO SUPPORT HRA FOR LEVEL 2 PSA

Energy Technology Data Exchange (ETDEWEB)

St. Germain, S.; Boring, R.; Banaseanu, G.; Akl, Y.; Xu, M.

2016-10-01

Currently, available Human Reliability Analysis (HRA) methods were generally developed to support Level 1 Probabilistic Safety Analysis (PSA) models. There has been an increased emphasis placed on Level 2 PSA in recent years; however, the currently used HRA methods are not ideal for this application, including the SPAR-H method. Challenges that will likely be present during a severe accident such as degraded or hazardous operating conditions, shift in control from the main control room to the technical support center, unavailability of instrumentation, and others are not routinely considered for Level 1 HRA analysis. These factors combine to create a much more uncertain condition to be accounted for in the HRA analysis. While the SPAR-H shaping factors were established to support Level 1 HRA, previous studies have shown it may be used for Level 2 HRA analysis as well. The Canadian Nuclear Safety Commission (CNSC) and Idaho National Laboratory (INL) in a joint project are investigating modifications to the SPAR-H method to create more consistency in applying the performance shaping factors used in the method for Level 2 analysis.

Multiple factor analysis of metachronous upper urinary tract transitional cell carcinoma after radical cystectomy

Directory of Open Access Journals (Sweden)

P. Wang

2007-07-01

Full Text Available Transitional cell carcinoma (TCC of the urothelium is often multifocal and subsequent tumors may occur anywhere in the urinary tract after the treatment of a primary carcinoma. Patients initially presenting a bladder cancer are at significant risk of developing metachronous tumors in the upper urinary tract (UUT. We evaluated the prognostic factors of primary invasive bladder cancer that may predict a metachronous UUT TCC after radical cystectomy. The records of 476 patients who underwent radical cystectomy for primary invasive bladder TCC from 1989 to 2001 were reviewed retrospectively. The prognostic factors of UUT TCC were determined by multivariate analysis using the COX proportional hazards regression model. Kaplan-Meier analysis was also used to assess the variable incidence of UUT TCC according to different risk factors. Twenty-two patients (4.6%. developed metachronous UUT TCC. Multiplicity, prostatic urethral involvement by the bladder cancer and the associated carcinoma in situ (CIS were significant and independent factors affecting the occurrence of metachronous UUT TCC (P = 0.0425, 0.0082, and 0.0006, respectively. These results were supported, to some extent, by analysis of the UUT TCC disease-free rate by the Kaplan-Meier method, whereby patients with prostatic urethral involvement or with associated CIS demonstrated a significantly lower metachronous UUT TCC disease-free rate than patients without prostatic urethral involvement or without associated CIS (log-rank test, P = 0.0116 and 0.0075, respectively. Multiple tumors, prostatic urethral involvement and associated CIS were risk factors for metachronous UUT TCC, a conclusion that may be useful for designing follow-up strategies for primary invasive bladder cancer after radical cystectomy.

Meta-analysis of the predictive factors of postpartum fatigue.

Science.gov (United States)

Badr, Hanan A; Zauszniewski, Jaclene A

2017-08-01

Nearly 64% of new mothers are affected by fatigue during the postpartum period, making it the most common problem that a woman faces as she adapts to motherhood. Postpartum fatigue can lead to serious negative effects on the mother's health and the newborn's development and interfere with mother-infant interaction. The aim of this meta-analysis was to identify predictive factors of postpartum fatigue and to document the magnitude of their effects using effect sizes. We used two search engines, PubMed and Google Scholar, to identify studies that met three inclusion criteria: (a) the article was written in English, (b) the article studied the predictive factors of postpartum fatigue, and (c) the article included information about the validity and reliability of the instruments used in the research. Nine articles met these inclusion criteria. The direction and strength of correlation coefficients between predictive factors and postpartum fatigue were examined across the studies to determine their effect sizes. Measurement of predictor variables occurred from 3days to 6months postpartum. Correlations reported between predictive factors and postpartum fatigue were as follows: small effect size (r range =0.10 to 0.29) for education level, age, postpartum hemorrhage, infection, and child care difficulties; medium effect size (r range =0.30 to 0.49) for physiological illness, low ferritin level, low hemoglobin level, sleeping problems, stress and anxiety, and breastfeeding problems; and large effect size (r range =0.50+) for depression. Postpartum fatigue is a common condition that can lead to serious health problems for a new mother and her newborn. Therefore, increased knowledge concerning factors that influence the onset of postpartum fatigue is needed for early identification of new mothers who may be at risk. Appropriate treatments, interventions, information, and support can then be initiated to prevent or minimize the postpartum fatigue. Copyright © 2017 Elsevier

UK public perceptions of shale gas hydraulic fracturing:The role of audience, message and contextual factors on risk perceptions and policy support

OpenAIRE

Whitmarsh, Lorraine; Nash, Nick; Upham, Paul; Lloyd, Alyson; Verdon, James P; Kendall, J.-Michael

2015-01-01

There is growing recognition of the need to understand public attitudes to energy sources, such as shale gas, and to feed these into decision-making. This study represents the first detailed UK experimental survey of public perceptions of shale gas fracking, including analysis of the effects of different messages and the relative influence of different audience, message and contextual factors on support and risk perceptions in respect of shale gas fracking. Using an online survey (N = 1457) o...

Success Factors of European Syndromic Surveillance Systems: A Worked Example of Applying Qualitative Comparative Analysis.

Science.gov (United States)

Ziemann, Alexandra; Fouillet, Anne; Brand, Helmut; Krafft, Thomas

2016-01-01

Syndromic surveillance aims at augmenting traditional public health surveillance with timely information. To gain a head start, it mainly analyses existing data such as from web searches or patient records. Despite the setup of many syndromic surveillance systems, there is still much doubt about the benefit of the approach. There are diverse interactions between performance indicators such as timeliness and various system characteristics. This makes the performance assessment of syndromic surveillance systems a complex endeavour. We assessed if the comparison of several syndromic surveillance systems through Qualitative Comparative Analysis helps to evaluate performance and identify key success factors. We compiled case-based, mixed data on performance and characteristics of 19 syndromic surveillance systems in Europe from scientific and grey literature and from site visits. We identified success factors by applying crisp-set Qualitative Comparative Analysis. We focused on two main areas of syndromic surveillance application: seasonal influenza surveillance and situational awareness during different types of potentially health threatening events. We found that syndromic surveillance systems might detect the onset or peak of seasonal influenza earlier if they analyse non-clinical data sources. Timely situational awareness during different types of events is supported by an automated syndromic surveillance system capable of analysing multiple syndromes. To our surprise, the analysis of multiple data sources was no key success factor for situational awareness. We suggest to consider these key success factors when designing or further developing syndromic surveillance systems. Qualitative Comparative Analysis helped interpreting complex, mixed data on small-N cases and resulted in concrete and practically relevant findings.

Human factor reliability program

International Nuclear Information System (INIS)

Knoblochova, L.

2017-01-01

The human factor's reliability program was at Slovenske elektrarne, a.s. (SE) nuclear power plants. introduced as one of the components Initiatives of Excellent Performance in 2011. The initiative's goal was to increase the reliability of both people and facilities, in response to 3 major areas of improvement - Need for improvement of the results, Troubleshooting support, Supporting the achievement of the company's goals. The human agent's reliability program is in practice included: - Tools to prevent human error; - Managerial observation and coaching; - Human factor analysis; -Quick information about the event with a human agent; -Human reliability timeline and performance indicators; - Basic, periodic and extraordinary training in human factor reliability(authors)

Using exploratory factor analysis in personality research: Best-practice recommendations

Directory of Open Access Journals (Sweden)

Sumaya Laher

2010-11-01

Research purpose: This article presents more objective methods to determine the number of factors, most notably parallel analysis and Velicer’s minimum average partial (MAP. The benefits of rotation are also discussed. The article argues for more consistent use of Procrustes rotation and congruence coefficients in factor analytic studies. Motivation for the study: Exploratory factor analysis is often criticised for not being rigorous and objective enough in terms of the methods used to determine the number of factors, the rotations to be used and ultimately the validity of the factor structure. Research design, approach and method: The article adopts a theoretical stance to discuss the best-practice recommendations for factor analytic research in the field of psychology. Following this, an example located within personality assessment and using the NEO-PI-R specifically is presented. A total of 425 students at the University of the Witwatersrand completed the NEO-PI-R. These responses were subjected to a principal components analysis using varimax rotation. The rotated solution was subjected to a Procrustes rotation with Costa and McCrae’s (1992 matrix as the target matrix. Congruence coefficients were also computed. Main findings: The example indicates the use of the methods recommended in the article and demonstrates an objective way of determining the number of factors. It also provides an example of Procrustes rotation with coefficients of agreement as an indication of how factor analytic results may be presented more rigorously in local research. Practical/managerial implications: It is hoped that the recommendations in this article will have best-practice implications for both researchers and practitioners in the field who employ factor analysis regularly. Contribution/value-add: This article will prove useful to all researchers employing factor analysis and has the potential to set the trend for better use of factor analysis in the South African context.

Map-based multicriteria analysis to support interactive land use allocation

NARCIS (Netherlands)

Arciniegas Lopez, G.A.; Janssen, R.; Omtzigt, A.Q.A.

2011-01-01

This article focuses on the use of map-based multicriteria analysis to develop a negotiation support tool for land use allocation. Spatial multicriteria analysis is used to make explicit trade-offs between objectives and to provide guidance and feedback on the land use changes negotiated by the

Bridging Human Reliability Analysis and Psychology, Part 2: A Cognitive Framework to Support HRA

Energy Technology Data Exchange (ETDEWEB)

April M. Whaley; Stacey M. L. Hendrickson; Ronald L. Boring; Jing Xing

2012-06-01

This is the second of two papers that discuss the literature review conducted as part of the U.S. Nuclear Regulatory Commission (NRC) effort to develop a hybrid human reliability analysis (HRA) method in response to Staff Requirements Memorandum (SRM) SRM-M061020. This review was conducted with the goal of strengthening the technical basis within psychology, cognitive science and human factors for the hybrid HRA method being proposed. An overview of the literature review approach and high-level structure is provided in the first paper, whereas this paper presents the results of the review. The psychological literature review encompassed research spanning the entirety of human cognition and performance, and consequently produced an extensive list of psychological processes, mechanisms, and factors that contribute to human performance. To make sense of this large amount of information, the results of the literature review were organized into a cognitive framework that identifies causes of failure of macrocognition in humans, and connects those proximate causes to psychological mechanisms and performance influencing factors (PIFs) that can lead to the failure. This cognitive framework can serve as a tool to inform HRA. Beyond this, however, the cognitive framework has the potential to also support addressing human performance issues identified in Human Factors applications.

Impact analysis of critical success factors on the benefits from statistical process control implementation

Directory of Open Access Journals (Sweden)

Fabiano Rodrigues Soriano

Full Text Available Abstract The Statistical Process Control - SPC is a set of statistical techniques focused on process control, monitoring and analyzing variation causes in the quality characteristics and/or in the parameters used to control and process improvements. Implementing SPC in organizations is a complex task. The reasons for its failure are related to organizational or social factors such as lack of top management commitment and little understanding about its potential benefits. Other aspects concern technical factors such as lack of training on and understanding about the statistical techniques. The main aim of the present article is to understand the interrelations between conditioning factors associated with top management commitment (Support, SPC Training and Application, as well as to understand the relationships between these factors and the benefits associated with the implementation of the program. The Partial Least Squares Structural Equation Modeling (PLS-SEM was used in the analysis since the main goal is to establish the causal relations. A cross-section survey was used as research method to collect information of samples from Brazilian auto-parts companies, which were selected according to guides from the auto-parts industry associations. A total of 170 companies were contacted by e-mail and by phone in order to be invited to participate in the survey. However, just 93 industries agreed on participating, and only 43 answered the questionnaire. The results showed that the senior management support considerably affects the way companies develop their training programs. In turn, these trainings affect the way companies apply the techniques. Thus, it will reflect on the benefits gotten from implementing the program. It was observed that the managerial and technical aspects are closely connected to each other and that they are represented by the ratio between top management and training support. The technical aspects observed through SPC

School-related social support and subjective well-being in school among adolescents: The role of self-system factors.

Science.gov (United States)

Tian, Lili; Zhao, Jie; Huebner, E Scott

2015-12-01

This 6-week longitudinal study aimed to examine a moderated mediation model that may explain the link between school-related social support (i.e., teacher support and classmate support) and optimal subjective well-being in school among adolescents (n = 1316). Analyses confirmed the hypothesized model that scholastic competence partially mediated the relations between school-related social support and subjective well-being in school, and social acceptance moderated the mediation process in the school-related social support--> subjective well-being in school path and in the scholastic competence--> subjective well-being in school path. The findings suggested that both social contextual factors (e.g., school-related social support) and self-system factors (e.g., scholastic competence and social acceptance) are crucial for adolescents' optimal subjective well-being in school. Limitations and practical applications of the study were discussed. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

LANL Institutional Decision Support By Process Modeling and Analysis Group (AET-2)

Energy Technology Data Exchange (ETDEWEB)

Booth, Steven Richard [Los Alamos National Laboratory

2016-04-04

AET-2 has expertise in process modeling, economics, business case analysis, risk assessment, Lean/Six Sigma tools, and decision analysis to provide timely decision support to LANS leading to continuous improvement. This capability is critical during the current tight budgetary environment as LANS pushes to identify potential areas of cost savings and efficiencies. An important arena is business systems and operations, where processes can impact most or all laboratory employees. Lab-wide efforts are needed to identify and eliminate inefficiencies to accomplish Director McMillan’s charge of “doing more with less.” LANS faces many critical and potentially expensive choices that require sound decision support to ensure success. AET-2 is available to provide this analysis support to expedite the decisions at hand.

Measuring nursing support during childbirth.

Science.gov (United States)

Gale, J; Fothergill-Bourbonnais, F; Chamberlain, M

2001-01-01

To examine the amount of support being provided by nurses to women during childbirth and factors that influence the provision of support. Exploratory, descriptive. Work sampling method was used to determine the percentage of time nurses spend in supportive care activities. Twelve nurses were observed over six nonconsecutive day shifts on a birthing unit of a Canadian teaching hospital in Quebec. A total of 404 observations were made. Nurses were also interviewed to determine their perceptions of what constitutes supportive nursing care and the factors that facilitate or inhibit the provision of this care. Nurses spent only 12.4% of their total time providing supportive care to laboring women. Interviews with nurses suggested that perceptions of the components of supportive care were comparable to this study's operational definition of support, namely: physical, emotional, and instructional/informational support and advocacy. Barriers to providing support identified by nurses included lack of time and insufficient staff. However, further content analysis of the interview data revealed that healthcare providers had a pervasive sense of control over laboring women and their partners. Although nursing support has been identified as an important aspect of nursing care in childbirth, this study demonstrated an incongruity between what nurses perceived as being supportive care and the amount of support that was actually provided. Barriers to the provision of supportive care in the practice setting as well as suggestions for its enhancement are discussed.

Development and psychometric testing of the Supportive Supervisory Scale.

Science.gov (United States)

McGilton, Katherine S

2010-06-01

To describe the development and psychometric testing of the Supportive Supervisory Scale (SSS). The development of the items of the scale was based on Winnicott's relationship theory and on focus groups with 26 healthcare aides (HCAs) and 30 supervisors from six long-term care (LTC) facilities in Ontario, Canada. Content validity of the 15-item instrument was established by a panel of experts. Based on a secondary analysis of data collected from 222 HCAs in 10 LTC facilities in Ontario, Canada, the SSS was subjected to principal components analysis with oblique rotation. A two-factor solution was accepted, which is consistent with the theoretical conceptualization of the instrument. Factor I was labeled Respects Uniqueness and Factor II was labeled Being Reliable. Internal consistency of Factor I was .95, and that of Factor II was .91. Discriminant validity was also established. The focus groups revealed that "being available to staff" while "recognizing the HCA as an individual, and taking a moment to get to know them" was essential to feeling supported by their supervisor. The SSS is a reliable and valid measure of supervisory support of supervisors working in LTC facilities. At the core of supportive supervision is the supervisor's ability to develop and maintain positive relationships with each HCA. It is through respecting the uniqueness of each HCA and being reliable that supervisor-HCA relationships can flourish. Supportive leadership in LTC settings is a major contributor to HCAs' job satisfaction and retention and to quality of patient care. Therefore, a tool developed and tested to measure supervisors' supportive capacities in LTC is primal to evaluate the effectiveness of supervisors in these environments.

Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis

Science.gov (United States)

MUHAMMAD, Noor Azimah; SHAMSUDDIN, Khadijah; OMAR, Khairani; SHAH, Shamsul Azhar; MOHD AMIN, Rahmah

2014-01-01

Background: Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. Methods: The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Results: Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (overprotection factor. All the items loaded positively on their respective factors. Conclusion: The Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Keywords: Malaysia, parenting, questionnaire, validity PMID:25977634

Intelligent support of X-ray qualitative analysis

International Nuclear Information System (INIS)

Arai, Hiroshi; Uota, Atsushi; Ishida, Hidenobu

1995-01-01

'X-ray Diffraction AI Qualitative Analysis System' which can support analytical operation was developed. The purpose of this development is that even a beginner analyst can obtain the accurate results as well as specialists. This system has three new functions. The first one is to determine the suitable measuring conditions automatically for samples or analytical aim. The second is to guide the method of peak search. And, the third is to determine searching conditions same as measuring conditions. These were realized by applying experts' knowledge with 'AI techniques' and were added to our qualitative analysis systems. A beginner analyses through dialogue with this system, and can get the same results as a specialist would get. (author)

Can Religious Beliefs be a Protective Factor for Suicidal Behavior? A Decision Tree Analysis in a Mid-Sized City in Iran, 2013.

Science.gov (United States)

Baneshi, Mohammad Reza; Haghdoost, Ali Akbar; Zolala, Farzaneh; Nakhaee, Nouzar; Jalali, Maryam; Tabrizi, Reza; Akbari, Maryam

2017-04-01

This study aimed to assess using tree-based models the impact of different dimensions of religion and other risk factors on suicide attempts in the Islamic Republic of Iran. Three hundred patients who attempted suicide and 300 age- and sex-matched patient attendants with other types of disease who referred to Kerman Afzalipour Hospital were recruited for this study following a convenience sampling. Religiosity was assessed by the Duke University Religion Index. A tree-based model was constructed using the Gini Index as the homogeneity criterion. A complementary discrimination analysis was also applied. Variables contributing to the construction of the tree were stressful life events, mental disorder, family support, and religious belief. Strong religious belief was a protective factor for those with a low number of stressful life events and those with a high mental disorder score; 72 % of those who formed these two groups had not attempted suicide. Moreover, 63 % of those with a high number of stressful life events, strong family support, strong problem-solving skills, and a low mental disorder score were less likely to attempt suicide. The significance of four other variables, GHQ, problem-coping skills, friend support, and neuroticism, was revealed in the discrimination analysis. Religious beliefs seem to be an independent factor that can predict risk for suicidal behavior. Based on the decision tree, religious beliefs among people with a high number of stressful life events might not be a dissuading factor. Such subjects need more family support and problem-solving skills.

Structural validity of the Pittsburgh Sleep Quality Index in Chinese undergraduate students: A confirmatory factor analysis

Directory of Open Access Journals (Sweden)

Suran Guo

2016-08-01

Full Text Available The purpose of this study was to examine the structural validity of the Pittsburgh Sleep Quality Index (PSQI in Chinese undergraduate students. A cross-sectional questionnaire survey with 631 Chinese undergraduate students was conducted, and the questionnaire package included a measure of demographic characteristics, Pittsburgh Sleep Quality Index (PSQI, Chinese editions of Center for Epidemiologic Studies-Depression, State- Trait Anxiety Inventory, Rumination Response Scale, and Perceived Social Support Scale. Results showed that the item use of sleep medicine was not suitable for use with this population, that a two-factor model provided the best fit to the data as assessed through confirmatory factor analysis, and that other indices were consistently correlated with the sleep quality but not the sleep efficiency factor.

Factor Analysis for Clustered Observations.

Science.gov (United States)

Longford, N. T.; Muthen, B. O.

1992-01-01

A two-level model for factor analysis is defined, and formulas for a scoring algorithm for this model are derived. A simple noniterative method based on decomposition of total sums of the squares and cross-products is discussed and illustrated with simulated data and data from the Second International Mathematics Study. (SLD)

Study on Performance Shaping Factors (PSFs) Quantification Method in Human Reliability Analysis (HRA)

International Nuclear Information System (INIS)

Kim, Ar Ryum; Jang, Inseok Jang; Seong, Poong Hyun; Park, Jinkyun; Kim, Jong Hyun

2015-01-01

The purpose of HRA implementation is 1) to achieve the human factor engineering (HFE) design goal of providing operator interfaces that will minimize personnel errors and 2) to conduct an integrated activity to support probabilistic risk assessment (PRA). For these purposes, various HRA methods have been developed such as technique for human error rate prediction (THERP), simplified plant analysis risk human reliability assessment (SPAR-H), cognitive reliability and error analysis method (CREAM) and so on. In performing HRA, such conditions that influence human performances have been represented via several context factors called performance shaping factors (PSFs). PSFs are aspects of the human's individual characteristics, environment, organization, or task that specifically decrements or improves human performance, thus respectively increasing or decreasing the likelihood of human errors. Most HRA methods evaluate the weightings of PSFs by expert judgment and explicit guidance for evaluating the weighting is not provided. It has been widely known that the performance of the human operator is one of the critical factors to determine the safe operation of NPPs. HRA methods have been developed to identify the possibility and mechanism of human errors. In performing HRA methods, the effect of PSFs which may increase or decrease human error should be investigated. However, the effect of PSFs were estimated by expert judgment so far. Accordingly, in order to estimate the effect of PSFs objectively, the quantitative framework to estimate PSFs by using PSF profiles is introduced in this paper

Critical factors supporting the confidence in U.S. nuclear power industries

International Nuclear Information System (INIS)

Yoshida, Tomoaki

2004-01-01

The risk informed regulation in U.S. is summarized and factors supporting the confidence in U.S. nuclear power industries are thought to be helpful to our country for improving the state of nuclear power industries. In U.S., on the basis of clear Regulatory Guide, an entrepreneur constructs and practices corrective action of nonconformance. A regulatory commission submitted by the nation watches their movements. The movements related to regulatory are opened to the people and they make a thousand preparations for the rule to make correct the insufficient part. These above system get good results in U.S. It is important in Japan that we are not going to get away with anything on the system satisfied above conditions and practice. The risk informed regulation, effectiveness of risk informed regulation supporting conditions, a part of NRC (Nuclear Regulatory Commission) and entrepreneur are described. (S.Y.)

Qualitative analysis of factors that increase and reduce involvement in gambling

Directory of Open Access Journals (Sweden)

Egidijus

2015-12-01

Full Text Available During the rapid development of gambling business, the number of pathological gamblers is increasing as well. The problem of pathological gambling is just as important as alcoholism or drug addiction. However, there is a lack of information and research of this topicin Lithuania. The aim of work: to investigate and analyse the factors that increase or reduce involvement in gambling. Research questions: 1 What factors increase involvement in gambling? 2 What factors reduce involvement in gambling? Critical case sampling was used for selection of the participants. Subjects were required to a have experience of involvement in gambling for at least one year; b have experience of negative impact of gambling on quality of life; c have at least 6 months of gambling abstinence. Five individuals participated in the research; all of them were males who live in Vilnius. Age of the participants varied from 19 to 45. Semi-structured interviews were used to collect data. Interviews were recorded and transcribed verbatim. The matic analysis of the data led to the identification of four major the matic categories: psychological factors; social relations; material well being; quality of life. There search results show that negatyve childhood experience, gambling friends, escaping from various troubles, disputes in family and high financial needs can increase involvement in gambling. Factors that reduce involvement in gambling are: feeling support of social environment, proper evaluation of financial position, awareness of one‘s own addiction to gambling and desire to change life.

Factors influencing the outcome of paediatric cardiac surgical patients during extracorporeal circulatory support

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Peek Giles J

2007-01-01

Full Text Available Abstract Background Veno-arterial extracorporeal membrane oxygenation (ECMO is a common modality of circulatory assist device used in children. We assessed the outcome of children who had ECMO following repair of congenital cardiac defects (CCD and identified the risk factors associated with hospital mortality. Methods From April 1990 to December 2003, 53 patients required ECMO following surgical correction of CCD. Retrospectively collected data was analyzed with univariate and multivariate logistic regression analysis. Results Median age and weight of the patients were 150 days and 5.4 kgs respectively. The indications for ECMO were low cardiac output in 16, failure to wean cardiopulmonary bypass in 13, cardiac arrest in 10 and cardio-respiratory failure in 14 patients. The mean duration of ECMO was 143 hours. Weaning off from ECMO was successful in 66% and of these 83% were survival to hospital-discharge. 37.7% of patients were alive for the mean follow-up period of 75 months. On univariate analysis, arrhythmias, ECMO duration >168 hours, bleeding complications, renal replacement therapy on ECMO, arrhythmias and cardiac arrest after ECMO were associated with hospital mortality. On multivariate analysis, abnormal neurology, bleeding complications and arrhythmias after ECMO were associated with hospital mortality. Extra and intra-thoracic cannulations were used in 79% and 21% of patients respectively and extra-thoracic cannulation had significantly less bleeding complications (p = 0.031. Conclusion ECMO provides an effective circulatory support following surgical repair of CCD in children. Extra-thoracic cannulation is associated with less bleeding complications. Abnormal neurology, bleeding complications on ECMO and arrhythmias after ECMO are poor prognostic indicators for hospital survival.

A task analysis-linked approach for integrating the human factor in reliability assessments of nuclear power plants

International Nuclear Information System (INIS)

Ryan, T.G.

1988-01-01

This paper describes an emerging Task Analysis-Linked Evaluation Technique (TALENT) for assessing the contributions of human error to nuclear power plant systems unreliability and risk. Techniques such as TALENT are emerging as a recognition that human error is a primary contributor to plant safety, however, it has been a peripheral consideration to data in plant reliability evaluations. TALENT also recognizes that involvement of persons with behavioral science expertise is required to support plant reliability and risk analyses. A number of state-of-knowledge human reliability analysis tools are also discussed which support the TALENT process. The core of TALENT is comprised of task, timeline and interface analysis data which provide the technology base for event and fault tree development, serve as criteria for selecting and evaluating performance shaping factors, and which provide a basis for auditing TALENT results. Finally, programs and case studies used to refine the TALENT process are described along with future research needs in the area. (author)

Analysis and optimization of the TWINKLE factoring device

NARCIS (Netherlands)

Lenstra, A.K.; Shamir, A.; Preneel, B.

2000-01-01

We describe an enhanced version of the TWINKLE factoring device and analyse to what extent it can be expected to speed up the sieving step of the Quadratic Sieve and Number Field Sieve factoring al- gorithms. The bottom line of our analysis is that the TWINKLE-assisted factorization of 768-bit

Transforming Rubrics Using Factor Analysis

Science.gov (United States)

Baryla, Ed; Shelley, Gary; Trainor, William

2012-01-01

Student learning and program effectiveness is often assessed using rubrics. While much time and effort may go into their creation, it is equally important to assess how effective and efficient the rubrics actually are in terms of measuring competencies over a number of criteria. This study demonstrates the use of common factor analysis to identify…

Statistical analysis of the electrocatalytic activity of Pt nanoparticles supported on novel functionalized reduced graphene oxide-chitosan for methanol electrooxidation

Science.gov (United States)

Ekrami-Kakhki, Mehri-Saddat; Abbasi, Sedigheh; Farzaneh, Nahid

2018-01-01

The purpose of this study is to statistically analyze the anodic current density and peak potential of methanol oxidation at Pt nanoparticles supported on functionalized reduced graphene oxide (RGO), using design of experiments methodology. RGO is functionalized with methyl viologen (MV) and chitosan (CH). The novel Pt/MV-RGO-CH catalyst is successfully prepared and characterized with transmission electron microscopy (TEM) image. The electrocatalytic activity of Pt/MV-RGOCH catalyst is experimentally evaluated for methanol oxidation. The effects of methanol concentration and scan rate factors are also investigated experimentally and statistically. The effects of these two main factors and their interactions are investigated, using analysis of variance test, Duncan's multiple range test and response surface method. The results of the analysis of variance show that all the main factors and their interactions have a significant effect on anodic current density and peak potential of methanol oxidation at α = 0.05. The suggested models which encompass significant factors can predict the variation of the anodic current density and peak potential of methanol oxidation. The results of Duncan's multiple range test confirmed that there is a significant difference between the studied levels of the main factors. [Figure not available: see fulltext.

Eastern minds in western cockpits: meta-analysis of human factors in mishaps from three nations.

Science.gov (United States)

Li, Wen-Chin; Harris, Don; Chen, Aurora

2007-04-01

Aviation accident rates vary in different regions; Asia and Africa have higher rates than Europe and America. There has been a great deal of discussion about the role of culture in aviation mishaps; however, culture is rarely mentioned as a contributory factor in accidents. It is hypothesized that different cultures will show different patterns in the underlying causal factors in aircraft accidents. Using a meta-analysis of previously published results, this research examined statistical differences in the 18 categories of the Human Factors Analysis and Classification System (HFACS) across accidents in the Republic of China (Taiwan), India, and the United States. Seven HFACS categories exhibited significant differences between these three regions. These were mostly concerned with contributory factors at the higher organizational levels. The differences were related to organizational processes, organizational climate, resource management, inadequate supervision, physical/mental limitations, adverse mental states, and decision errors. Overall, the evidence from this research supports the observation that national cultures have an impact on aviation safety and adds further explanatory power with regards to why this should be so. The majority of the cultural issues identified seem to be associated with the style of management of the organizations rather than the operation of the aircraft per se.

A Factor Analysis of the BSRI and the PAQ.

Science.gov (United States)

Edwards, Teresa A.; And Others

Factor analysis of the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ) was undertaken to study the independence of the masculine and feminine scales within each instrument. Both instruments were administered to undergraduate education majors. Analysis of primary first and second order factors of the BSRI indicated…

Altair Lander Life Support: Design Analysis Cycles 4 and 5

Science.gov (United States)

Anderson, Molly; Curley, Su; Rotter, Henry; Stambaugh, Imelda; Yagoda, Evan

2011-01-01

Life support systems are a critical part of human exploration beyond low earth orbit. NASA s Altair Lunar Lander team is pursuing efficient solutions to the technical challenges of human spaceflight. Life support design efforts up through Design Analysis Cycle (DAC) 4 focused on finding lightweight and reliable solutions for the Sortie and Outpost missions within the Constellation Program. In DAC-4 and later follow on work, changes were made to add functionality for new requirements accepted by the Altair project, and to update the design as knowledge about certain issues or hardware matured. In DAC-5, the Altair project began to consider mission architectures outside the Constellation baseline. Selecting the optimal life support system design is very sensitive to mission duration. When the mission goals and architecture change several trade studies must be conducted to determine the appropriate design. Finally, several areas of work developed through the Altair project may be applicable to other vehicle concepts for microgravity missions. Maturing the Altair life support system related analysis, design, and requirements can provide important information for developers of a wide range of other human vehicles.

Identification of noise in linear data sets by factor analysis

International Nuclear Information System (INIS)

Roscoe, B.A.; Hopke, Ph.K.

1982-01-01

A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors. (author)

Analysis of Increased Information Technology Outsourcing Factors

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Brcar Franc

2013-01-01

Full Text Available The study explores the field of IT outsourcing. The narrow field of research is to build a model of IT outsourcing based on influential factors. The purpose of this research is to determine the influential factors on IT outsourcing expansion. A survey was conducted with 141 large-sized Slovenian companies. Data were statistically analyzed using binary logistic regression. The final model contains five factors: (1 management’s support; (2 knowledge on IT outsourcing; (3 improvement of efficiency and effectiveness; (4 quality improvement of IT services; and (5 innovation improvement of IT. Managers immediately can use the results of this research in their decision-making. Increased performance of each individual organization is to the benefit of the entire society. The examination of IT outsourcing with the methods used is the first such research in Slovenia.

Seismic response analysis of structural system subjected to multiple support excitation

International Nuclear Information System (INIS)

Wu, R.W.; Hussain, F.A.; Liu, L.K.

1978-01-01

In the seismic analysis of a multiply supported structural system subjected to nonuniform excitations at each support point, the single response spectrum, the time history, and the multiple response spectrum are the three commonly employed methods. In the present paper the three methods are developed, evaluated, and the limitations and advantages of each method assessed. A numerical example has been carried out for a typical piping system. Considerably smaller responses have been predicted by the time history method than that by the single response spectrum method. This is mainly due to the fact that the phase and amplitude relations between the support excitations are faithfully retained in the time history method. The multiple response spectrum prediction has been observed to compare favourably with the time history method prediction. Based on the present evaluation, the multiple response spectrum method is the most efficient method for seismic response analysis of structural systems subjected to multiple support excitation. (Auth.)

"Factor Analysis Using ""R"""

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A. Alexander Beaujean

2013-02-01

Full Text Available R (R Development Core Team, 2011 is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free and flexibility (its open-source. This article gives a general introduction to using R (i.e., loading the program, using functions, importing data. Then, using data from Canivez, Konold, Collins, and Wilson (2009, this article walks the user through how to use the program to conduct factor analysis, from both an exploratory and confirmatory approach.

The potential for meta-analysis to support decision analysis in ecology.

Science.gov (United States)

Mengersen, Kerrie; MacNeil, M Aaron; Caley, M Julian

2015-06-01

Meta-analysis and decision analysis are underpinned by well-developed methods that are commonly applied to a variety of problems and disciplines. While these two fields have been closely linked in some disciplines such as medicine, comparatively little attention has been paid to the potential benefits of linking them in ecology, despite reasonable expectations that benefits would be derived from doing so. Meta-analysis combines information from multiple studies to provide more accurate parameter estimates and to reduce the uncertainty surrounding them. Decision analysis involves selecting among alternative choices using statistical information that helps to shed light on the uncertainties involved. By linking meta-analysis to decision analysis, improved decisions can be made, with quantification of the costs and benefits of alternate decisions supported by a greater density of information. Here, we briefly review concepts of both meta-analysis and decision analysis, illustrating the natural linkage between them and the benefits from explicitly linking one to the other. We discuss some examples in which this linkage has been exploited in the medical arena and how improvements in precision and reduction of structural uncertainty inherent in a meta-analysis can provide substantive improvements to decision analysis outcomes by reducing uncertainty in expected loss and maximising information from across studies. We then argue that these significant benefits could be translated to ecology, in particular to the problem of making optimal ecological decisions in the face of uncertainty. Copyright © 2013 John Wiley & Sons, Ltd.

Religion as a Support Factor for Women of Color Pursuing Science Degrees: Implications for Science Teacher Educators

Science.gov (United States)

Ceglie, Robert

2013-02-01

This study explores the influence of religion as a support factor for a group of Latina and African-American women majoring in science. The current project is a part of a larger study that investigated persistence factors of underrepresented woman who were enrolled as science majors at United States colleges and universities. This paper focuses on one theme that emerged among six participants who disclosed how religion was a significant influence on their persistence in science fields. The strength and support offered by religious values is certainly not specific to science content; however, the support received from their beliefs highlights a potential area for further exploration. Given the importance of increasing participation by students from diverse backgrounds into science fields, it is critical to recognize how some of these differences may be the key factors influencing the way these students look at the world. This study offers evidence that science educators need to consider what role religious beliefs have for students who may be considering science or science education as a future career, particularly for those students from underrepresented groups.

Lessons Learned from Human Factor Technical Support for Nuclear Power Plants

International Nuclear Information System (INIS)

Jung, Yeon Sub; Song, Tae Young

2011-01-01

NETEC is on the frontier to support Korean nuclear power plants. Requests of service are distributed through web based system. Human factor requests are occasionally posted. This paper analyzes interesting human factors requests/responses serviced, and summarizes the lesson learned. Subjects of the service include man machine interface, equipment label, procedure writing, procedure adherence, BISI, hand switch and alarm tile. Specifically the man machine interface is related to control command generated by acknowledge button, arrangement of switches. Procedure writing is about how to write contingency actions with proper numbering scheme. BISI is analyzed in view of automation level. Alarm tile is about how to handle the common alarm tile originated from local alarm boards. These topics seem to be legacies of past technology. Even though there are still human engineering discrepancies, these have been less evaluated because the topics need knowledge of other field domains

Supporting cognition in systems biology analysis: findings on users' processes and design implications.

Science.gov (United States)

Mirel, Barbara

2009-02-13

Current usability studies of bioinformatics tools suggest that tools for exploratory analysis support some tasks related to finding relationships of interest but not the deep causal insights necessary for formulating plausible and credible hypotheses. To better understand design requirements for gaining these causal insights in systems biology analyses a longitudinal field study of 15 biomedical researchers was conducted. Researchers interacted with the same protein-protein interaction tools to discover possible disease mechanisms for further experimentation. Findings reveal patterns in scientists' exploratory and explanatory analysis and reveal that tools positively supported a number of well-structured query and analysis tasks. But for several of scientists' more complex, higher order ways of knowing and reasoning the tools did not offer adequate support. Results show that for a better fit with scientists' cognition for exploratory analysis systems biology tools need to better match scientists' processes for validating, for making a transition from classification to model-based reasoning, and for engaging in causal mental modelling. As the next great frontier in bioinformatics usability, tool designs for exploratory systems biology analysis need to move beyond the successes already achieved in supporting formulaic query and analysis tasks and now reduce current mismatches with several of scientists' higher order analytical practices. The implications of results for tool designs are discussed.

The Recoverability of P-Technique Factor Analysis

Science.gov (United States)

Molenaar, Peter C. M.; Nesselroade, John R.

2009-01-01

It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…

Human factor analysis and preventive countermeasures in nuclear power plant

International Nuclear Information System (INIS)

Li Ye

2010-01-01

Based on the human error analysis theory and the characteristics of maintenance in a nuclear power plant, human factors of maintenance in NPP are divided into three different areas: human, technology, and organization. Which is defined as individual factors, including psychological factors, physiological characteristics, health status, level of knowledge and interpersonal skills; The technical factors including technology, equipment, tools, working order, etc.; The organizational factors including management, information exchange, education, working environment, team building and leadership management,etc The analysis found that organizational factors can directly or indirectly affect the behavior of staff and technical factors, is the most basic human error factor. Based on this nuclear power plant to reduce human error and measures the response. (authors)

Genome-Wide Analysis of Genetic Risk Factors for Rheumatic Heart Disease in Aboriginal Australians Provides Support for Pathogenic Molecular Mimicry.

Science.gov (United States)

Gray, Lesley-Ann; D'Antoine, Heather A; Tong, Steven Y C; McKinnon, Melita; Bessarab, Dawn; Brown, Ngiare; Reményi, Bo; Steer, Andrew; Syn, Genevieve; Blackwell, Jenefer M; Inouye, Michael; Carapetis, Jonathan R

2017-12-12

Rheumatic heart disease (RHD) after group A streptococcus (GAS) infections is heritable and prevalent in Indigenous populations. Molecular mimicry between human and GAS proteins triggers proinflammatory cardiac valve-reactive T cells. Genome-wide genetic analysis was undertaken in 1263 Aboriginal Australians (398 RHD cases; 865 controls). Single-nucleotide polymorphisms were genotyped using Illumina HumanCoreExome BeadChips. Direct typing and imputation was used to fine-map the human leukocyte antigen (HLA) region. Epitope binding affinities were mapped for human cross-reactive GAS proteins, including M5 and M6. The strongest genetic association was intronic to HLA-DQA1 (rs9272622; P = 1.86 × 10-7). Conditional analyses showed rs9272622 and/or DQA1*AA16 account for the HLA signal. HLA-DQA1*0101_DQB1*0503 (odds ratio [OR], 1.44; 95% confidence interval [CI], 1.09-1.90; P = 9.56 × 10-3) and HLA-DQA1*0103_DQB1*0601 (OR, 1.27; 95% CI, 1.07-1.52; P = 7.15 × 10-3) were risk haplotypes; HLA_DQA1*0301-DQB1*0402 (OR 0.30, 95%CI 0.14-0.65, P = 2.36 × 10-3) was protective. Human myosin cross-reactive N-terminal and B repeat epitopes of GAS M5/M6 bind with higher affinity to DQA1/DQB1 alpha/beta dimers for the 2-risk haplotypes than the protective haplotype. Variation at HLA_DQA1-DQB1 is the major genetic risk factor for RHD in Aboriginal Australians studied here. Cross-reactive epitopes bind with higher affinity to alpha/beta dimers formed by risk haplotypes, supporting molecular mimicry as the key mechanism of RHD pathogenesis. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Seismic damping factors of small-bore piping as influenced by insulation and support elements

International Nuclear Information System (INIS)

Severud, L.K.; Anderson, M.J.; Barta, D.A.

1983-01-01

Seismic damping tests of a prototypical Liquid Metal Fast Breeder Reactor (LMFBR) small-bore piping system is described, and measured transient responses to pulse excitations are reported. The test specimen was representative of a typical LMFBR insulated small-bore piping system, and it was supported from a rigid test fame by prototypic dead-weight supports, mechanical snubbers, and pipe clamps. Various support configurations were tested to assess the reponse sensitivity to insulation and use of mechanical snubbers. Factors much higher than the magnitudes currently allowed in design, by the USNRC Regulatory Guide 1.61, were found. This verified the design values but also pointed out the possibility of undue conservatism and costly overdesign resulting from use of the present design values

A Second-Order Confirmatory Factor Analysis of the Moral Distress Scale-Revised for Nurses.

Science.gov (United States)

Sharif Nia, Hamid; Shafipour, Vida; Allen, Kelly-Ann; Heidari, Mohammad Reza; Yazdani-Charati, Jamshid; Zareiyan, Armin

2017-01-01

Moral distress is a growing problem for healthcare professionals that may lead to dissatisfaction, resignation, or occupational burnout if left unattended, and nurses experience different levels of this phenomenon. This study aims to investigate the factor structure of the Persian version of the Moral Distress Scale-Revised in intensive care and general nurses. This methodological research was conducted with 771 nurses from eight hospitals in the Mazandaran Province of Iran in 2017. Participants completed the Moral Distress Scale-Revised, data collected, and factor structure assessed using the construct, convergent, and divergent validity methods. The reliability of the scale was assessed using internal consistency (Cronbach's alpha, Theta, and McDonald's omega coefficients) and construct reliability. Ethical considerations: This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences. The exploratory factor analysis ( N = 380) showed that the Moral Distress Scale-Revised has five factors: lack of professional competence at work, ignoring ethical issues and patient conditions, futile care, carrying out the physician's orders without question and unsafe care, and providing care under personal and organizational pressures, which explained 56.62% of the overall variance. The confirmatory factor analysis ( N = 391) supported the five-factor solution and the second-order latent factor model. The first-order model did not show a favorable convergent and divergent validity. Ultimately, the Moral Distress Scale-Revised was found to have a favorable internal consistency and construct reliability. The Moral Distress Scale-Revised was found to be a multidimensional construct. The data obtained confirmed the hypothesis of the factor structure model with a latent second-order variable. Since the convergent and divergent validity of the scale were not confirmed in this study, further assessment is necessary in future studies.

Analysis Of Supporting Factors On Foreign Direct Investment And Its Impact Toward Indonesian Employment And Export Performance Period 2005-2015

Directory of Open Access Journals (Sweden)

Suharto

2017-09-01

Full Text Available This research analyzes effects of foreign direct investment and Its Impact toward employment and export performance in Indonesia 2005-2015. This research with secondary data focuses on the Supporting factors in which attract foreign direct investment into Indonesia. This research focused on the problem First the impact of labor export results economic growth rate exchange rate inflation rate interest rate and tax toward foreign direct investment second the impact of foreign direct investment on the expansion of employment and export performance in Indonesia during the period 2005-2015. The result of this research explains that variables of human resourceslabor and export performance give positive effect as significantly to attracting foreign direct investment in Indonesia. While foreign direct investment in Indonesia gives positive effect to employment creation and to export performance.

Estimation of the Power Peaking Factor in a Nuclear Reactor Using Support Vector Machines and Uncertainty Analysis

International Nuclear Information System (INIS)

Bae, In Ho; Na, Man Gyun; Lee, Yoon Joon; Park, Goon Cherl

2009-01-01

Knowing more about the Local Power Density (LPD) at the hottest part of a nuclear reactor core can provide more important information than knowledge of the LPD at any other position. The LPD at the hottest part needs to be estimated accurately in order to prevent the fuel rod from melting in a nuclear reactor. Support Vector Machines (SVMs) have successfully been applied in classification and regression problems. Therefore, in this paper, the power peaking factor, which is defined as the highest LPD to the average power density in a reactor core, was estimated by SVMs which use numerous measured signals of the reactor coolant system. The SVM models were developed by using a training data set and validated by an independent test data set. The SVM models' uncertainty was analyzed by using 100 sampled training data sets and verification data sets. The prediction intervals were very small, which means that the predicted values were very accurate. The predicted values were then applied to the first fuel cycle of the Yonggwang Nuclear Power Plant Unit 3. The root mean squared error was approximately 0.15%, which is accurate enough for use in LPD monitoring and for core protection that uses LPD estimation

Design of Graph Analysis Model to support Decision Making

International Nuclear Information System (INIS)

An, Sang Ha; Lee, Sung Jin; Chang, Soon Heung; Kim, Sung Ho; Kim, Tae Woon

2005-01-01

Korea is meeting the growing electric power needs by using nuclear, fissile, hydro energy and so on. But we can not use fissile energy forever, and the people's consideration about nature has been changed. So we have to prepare appropriate energy by the conditions before people need more energy. And we should prepare dynamic response because people's need would be changed as the time goes on. So we designed graphic analysis model (GAM) for the dynamic analysis of decision on the energy sources. It can support Analytic Hierarchy Process (AHP) analysis based on Graphic User Interface

Fracture analysis of randomized implant-supported fixed dental prostheses

Science.gov (United States)

Esquivel-Upshaw, Josephine F.; Mehler, Alex; Clark, Arthur E.; Neal, Dan; Anusavice, Kenneth J.

2014-01-01

Objective Fractures of posterior fixed dental all-ceramic prostheses can be caused by one or more factors including prosthesis design, flaw distribution, direction and magnitude of occlusal loading, and nature of supporting infrastructure (tooth root/implant), and presence of adjacent teeth. This clinical study of implant-supported, all-ceramic fixed dental prostheses, determined the effects of (1) presence of a tooth distal to the most distal retainer; (2) prosthesis loading either along the non-load bearing or load bearing areas; (3) presence of excursive contacts or maximum intercuspation contacts in the prosthesis; and (4) magnitude of bite force on the occurrence of veneer ceramic fracture. Methods 89 implant-supported FDPs were randomized as either a three-unit posterior metal-ceramic (Au-Pd-Ag alloy and InLine POM, Ivoclar, Vivadent) FDP or a ceramic-ceramic (ZirCAD and ZirPress, Ivoclar, Vivadent) FDP. Two implants (Osseospeed, Dentsply) and custom abutments (Atlantis, Dentsply) supported these FDPs, which were cemented with resin cement (RelyX Universal Cement). Baseline photographs were made with markings of teeth from maximum intercuspation (MI) and excursive function. Patients were recalled at 6 months and 1 to 3 years. Fractures were observed, their locations recorded, and images compared with baseline photographs of occlusal contacts. Conclusion No significant relationship exists between the occurrence of fracture and: (1) the magnitude of bite force; (2) a tooth distal to the most distal retainer; and (3) contacts in load-bearing or non-load-bearing areas. However, there was a significantly higher likelihood of fracture in areas with MI contacts only. Clinical Significance This clinical study demonstrates that there is a need to evaluate occlusion differently with implant-supported prostheses than with natural tooth supported prostheses because of the absence of a periodontal ligament. Implant supported prostheses should have minimal occlusion and

Factor analysis and psychometric properties of the Mother-Adolescent Sexual Communication (MASC) instrument for sexual risk behavior.

Science.gov (United States)

Cox, Mary Foster; Fasolino, Tracy K; Tavakoli, Abbas S

2008-01-01

Sexual risk behavior is a public health problem among adolescents living at or below poverty level. Approximately 1 million pregnancies and 3 million cases of sexually transmitted infections (STIs) are reported yearly. Parenting plays a significant role in adolescent behavior, with mother-adolescent sexual communication correlated with absent or delayed sexual behavior. This study developed an instrument examining constructs of mother-adolescent communication, the Mother-Adolescent Sexual Communication (MASC) instrument. A convenience sample of 99 mothers of middle school children completed the self-administered questionnaires. The original 34-item MASC was reduced to 18 items. Exploratory factor analysis was conducted on the 18-item scale, which resulted in four factors explaining 84.63% of the total variance. Internal consistency analysis produced Cronbach alpha coefficients of .87, .90, .82, and .71 for the four factors, respectively. Convergent validity via hypothesis testing was supported by significant correlations with several subscales of the Parent-Child Relationship Questionnaire (PCRQ) with MASC factors, that is, content and style factors with warmth, personal relationships and disciplinary warmth subscales of the PCRQ, the context factor with personal relationships, and the timing factor with warmth. In light of these findings, the psychometric characteristics and multidimensional perspective of the MASC instrument show evidence of usefulness for measuring and advancing knowledge of mother and adolescent sexual communication techniques.

Integrating human factors into process hazard analysis

International Nuclear Information System (INIS)

Kariuki, S.G.; Loewe, K.

2007-01-01

A comprehensive process hazard analysis (PHA) needs to address human factors. This paper describes an approach that systematically identifies human error in process design and the human factors that influence its production and propagation. It is deductive in nature and therefore considers human error as a top event. The combinations of different factors that may lead to this top event are analysed. It is qualitative in nature and is used in combination with other PHA methods. The method has an advantage because it does not look at the operator error as the sole contributor to the human failure within a system but a combination of all underlying factors

Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks.

Science.gov (United States)

Aussem, Alex; de Morais, Sérgio Rodrigues; Corbex, Marilys

2012-01-01

We propose a new graphical framework for extracting the relevant dietary, social and environmental risk factors that are associated with an increased risk of nasopharyngeal carcinoma (NPC) on a case-control epidemiologic study that consists of 1289 subjects and 150 risk factors. This framework builds on the use of Bayesian networks (BNs) for representing statistical dependencies between the random variables. We discuss a novel constraint-based procedure, called Hybrid Parents and Children (HPC), that builds recursively a local graph that includes all the relevant features statistically associated to the NPC, without having to find the whole BN first. The local graph is afterwards directed by the domain expert according to his knowledge. It provides a statistical profile of the recruited population, and meanwhile helps identify the risk factors associated to NPC. Extensive experiments on synthetic data sampled from known BNs show that the HPC outperforms state-of-the-art algorithms that appeared in the recent literature. From a biological perspective, the present study confirms that chemical products, pesticides and domestic fume intake from incomplete combustion of coal and wood are significantly associated with NPC risk. These results suggest that industrial workers are often exposed to noxious chemicals and poisonous substances that are used in the course of manufacturing. This study also supports previous findings that the consumption of a number of preserved food items, like house made proteins and sheep fat, are a major risk factor for NPC. BNs are valuable data mining tools for the analysis of epidemiologic data. They can explicitly combine both expert knowledge from the field and information inferred from the data. These techniques therefore merit consideration as valuable alternatives to traditional multivariate regression techniques in epidemiologic studies. Copyright © 2011 Elsevier B.V. All rights reserved.

University student depression inventory (USDI): confirmatory factor analysis and review of psychometric properties.

Science.gov (United States)

Romaniuk, Madeline; Khawaja, Nigar G

2013-09-25

The 30-item USDI is a self-report measure that assesses depressive symptoms among university students. It consists of three correlated three factors: lethargy, cognitive-emotional and academic motivation. The current research used confirmatory factor analysis to asses construct validity and determine whether the original factor structure would be replicated in a different sample. Psychometric properties were also examined. Participants were 1148 students (mean age 22.84 years, SD=6.85) across all faculties from a large Australian metropolitan university. Students completed a questionnaire comprising of the USDI, the depression anxiety stress scale (DASS) and Life Satisfaction Scale (LSS). The three correlated factor model was shown to be an acceptable fit to the data, indicating sound construct validity. Internal consistency of the scale was also demonstrated to be sound, with high Cronbach alpha values. Temporal stability of the scale was also shown to be strong through test-retest analysis. Finally, concurrent and discriminant validity was examined with correlations between the USDI and DASS subscales as well as the LSS, with sound results further supporting the construct validity of the scale. Cut-off points were also developed to aid total score interpretation. Response rates are unclear. In addition, the representativeness of the sample could be improved potentially through targeted recruitment (i.e. reviewing the online sample statistics during data collection, examining the representativeness trends and addressing particular faculties within the university that were underrepresented). The USDI provides a valid and reliable method of assessing depressive symptoms found among university students. © 2013 Elsevier B.V. All rights reserved.

MOJECT: MOTION ANALYSIS TO SUPPORT ASSESSMENT OF SURGICAL SKILLS

NARCIS (Netherlands)

Uineken, Ruben; Groot Jebbink, Erik; Halfwerk, F.R.; Bulten, Anne; Knoben, Peter; Roux, Moritz; Wicik, Ola; Groenier, Marleen

2018-01-01

Assessment of surgical skills is usually performed through direct observation by experts. This is subjective, expensive and requires assessor training. Motion analysis can support objective and cost-effective assessment. The aim of the current study is to design a low-cost, unobtrusive system for

Reflections on the role of consultant radiographers in the UK: The perceived impact on practice and factors that support and hinder the role

International Nuclear Information System (INIS)

Henwood, S.; Booth, L.; Miller, P.K.

2016-01-01

Study context: This paper is the third paper arising from a two year long, in-depth case study exploring various components of the role of consultant radiographers in the UK. This paper focuses particularly upon the perceived impact of the role and factors that support and hinder the role in practice. Methods: A longitudinal case study method was used to explore the role of consultant radiographers. Interviewing was informed and guided by a phenomenological approach to promote a deeper understanding of consultants' experiences in the role. Eight consultant radiographers participated, with six involved throughout the whole study. Over an 18 month period each of those six consultants was interviewed three times. Two consultants only participated in the first interview; these interviews are also reported here. A total of 20 interviews were conducted. Findings: Interviews explored the impact of the consultant role as perceived by consultants themselves, and encouraged individual reflection on factors which had both supported and hindered success therein. Analysis demonstrated that there was substantial variation in the experiences communicated yet, and without any exception, all consultants reported that the introduction of their role had been beneficial to service delivery and quality of patient care. A number of obstacles were outlined, as well as a range of support mechanisms. Recommendations are thus made as to how the consultant role might be more effectively supported in the future. - Highlights: • The perceived impact of the consultant radiographer role in practice. • Reflections upon what supported the consultants in their role. • Reflections upon what hindered the consultants in their role.

Attitudes towards Mathematics: Effects of Individual, Motivational, and Social Support Factors

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Maria de Lourdes Mata

2012-01-01

Full Text Available This paper aims to understand how certain different but interrelated variables such as background, motivation, and social support could lead to an explanation of student attitudes towards math and to an understanding of the defining characteristics of these attitudes in the school environment. Participants consisted of 1719 Portuguese students, from fifth-to-twelfth grade. The study utilizes an adaptation of the “Intrinsic Motivation Inventory” assessing main determinants of intrinsic motivation. One section of the questionnaire—“In my Math Class”—also assesses student perceptions of teacher and peer support as well as student attitudes. The results revealed that, in general, students held positive attitudes towards mathematics and also highlighted the main effects of grade and math achievement on these attitudes. No gender effect was identified although the girls showed a continuous decline in attitudes the further they progressed in school. A hierarchical analysis using structural equation modeling showed that motivation-related variables are the main predictors of attitudes towards mathematics and that teachers and the social support of peers are also highly significant in understanding these attitudes.

Applications of factor analysis to electron and ion beam surface techniques

International Nuclear Information System (INIS)

Solomon, J.S.

1987-01-01

Factor analysis, a mathematical technique for extracting chemical information from matrices of data, is used to enhance Auger electron spectroscopy (AES), core level electron energy loss spectroscopy (EELS), ion scattering spectroscopy (ISS), and secondary ion mass spectroscopy (SIMS) in studies of interfaces, thin films, and surfaces. Several examples of factor analysis enhancement of chemical bonding variations in thin films and at interfaces studied with AES and SIMS are presented. Factor analysis is also shown to be of great benefit in quantifying electron and ion beam doses required to induce surface damage. Finally, examples are presented of the use of factor analysis to reconstruct elemental profiles when peaks of interest overlap each other during the course of depth profile analysis. (author)

An SPSSR -Menu for Ordinal Factor Analysis

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Mario Basto

2012-01-01

Full Text Available Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calculations. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It offers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper offers an SPSS dialog written in theR programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models

International Nuclear Information System (INIS)

Lamboni, Matieyendou; Monod, Herve; Makowski, David

2011-01-01

Many dynamic models are used for risk assessment and decision support in ecology and crop science. Such models generate time-dependent model predictions, with time either discretised or continuous. Their global sensitivity analysis is usually applied separately on each time output, but Campbell et al. (2006 ) advocated global sensitivity analyses on the expansion of the dynamics in a well-chosen functional basis. This paper focuses on the particular case when principal components analysis is combined with analysis of variance. In addition to the indices associated with the principal components, generalised sensitivity indices are proposed to synthesize the influence of each parameter on the whole time series output. Index definitions are given when the uncertainty on the input factors is either discrete or continuous and when the dynamic model is either discrete or functional. A general estimation algorithm is proposed, based on classical methods of global sensitivity analysis. The method is applied to a dynamic wheat crop model with 13 uncertain parameters. Three methods of global sensitivity analysis are compared: the Sobol'-Saltelli method, the extended FAST method, and the fractional factorial design of resolution 6.

Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models

Energy Technology Data Exchange (ETDEWEB)

Lamboni, Matieyendou [INRA, Unite MIA (UR341), F78352 Jouy en Josas Cedex (France); Monod, Herve, E-mail: herve.monod@jouy.inra.f [INRA, Unite MIA (UR341), F78352 Jouy en Josas Cedex (France); Makowski, David [INRA, UMR Agronomie INRA/AgroParisTech (UMR 211), BP 01, F78850 Thiverval-Grignon (France)

2011-04-15

Many dynamic models are used for risk assessment and decision support in ecology and crop science. Such models generate time-dependent model predictions, with time either discretised or continuous. Their global sensitivity analysis is usually applied separately on each time output, but Campbell et al. (2006) advocated global sensitivity analyses on the expansion of the dynamics in a well-chosen functional basis. This paper focuses on the particular case when principal components analysis is combined with analysis of variance. In addition to the indices associated with the principal components, generalised sensitivity indices are proposed to synthesize the influence of each parameter on the whole time series output. Index definitions are given when the uncertainty on the input factors is either discrete or continuous and when the dynamic model is either discrete or functional. A general estimation algorithm is proposed, based on classical methods of global sensitivity analysis. The method is applied to a dynamic wheat crop model with 13 uncertain parameters. Three methods of global sensitivity analysis are compared: the Sobol'-Saltelli method, the extended FAST method, and the fractional factorial design of resolution 6.

Analysis of federal options to support photovoltaic industry growth

Energy Technology Data Exchange (ETDEWEB)

Bennington, G.; Cherdak, A.; Williams, F.

1979-05-01

This report presents the methodology and results of an analysis to determine the impact and leverage of federal options for supporting the growth of the photovoltaic industry. Results were projected for combinations of the following: an aggressive federal research and development program, achievement of a technological breakthrough, and immediate or breakthrough-dependent incentives including direct price reductions, keyed-to-breakeven subsidies, and federal puchases. The modeling methodology and market assumptions were also tested to determine their effect on analysis results.

Conflicts of interest at medical journals: the influence of industry-supported randomised trials on journal impact factors and revenue - cohort study.

Science.gov (United States)

Lundh, Andreas; Barbateskovic, Marija; Hróbjartsson, Asbjørn; Gøtzsche, Peter C

2010-10-26

transparency in reporting of conflict of interest is an increasingly important aspect of publication in medical journals. Publication of large industry-supported trials may generate many citations and journal income through reprint sales and thereby be a source of conflicts of interest for journals. We investigated industry-supported trials' influence on journal impact factors and revenue. we sampled six major medical journals (Annals of Internal Medicine, Archives of Internal Medicine, BMJ, JAMA, The Lancet, and New England Journal of Medicine [NEJM]). For each journal, we identified randomised trials published in 1996-1997 and 2005-2006 using PubMed, and categorized the type of financial support. Using Web of Science, we investigated citations of industry-supported trials and the influence on journal impact factors over a ten-year period. We contacted journal editors and retrieved tax information on income from industry sources. The proportion of trials with sole industry support varied between journals, from 7% in BMJ to 32% in NEJM in 2005-2006. Industry-supported trials were more frequently cited than trials with other types of support, and omitting them from the impact factor calculation decreased journal impact factors. The decrease varied considerably between journals, with 1% for BMJ to 15% for NEJM in 2007. For the two journals disclosing data, income from the sales of reprints contributed to 3% and 41% of the total income for BMJ and The Lancet in 2005-2006. publication of industry-supported trials was associated with an increase in journal impact factors. Sales of reprints may provide a substantial income. We suggest that journals disclose financial information in the same way that they require them from their authors, so that readers can assess the potential effect of different types of papers on journals' revenue and impact.

Conflicts of interest at medical journals: the influence of industry-supported randomised trials on journal impact factors and revenue - cohort study.

Directory of Open Access Journals (Sweden)

Andreas Lundh

2010-10-01

Full Text Available BACKGROUND: transparency in reporting of conflict of interest is an increasingly important aspect of publication in medical journals. Publication of large industry-supported trials may generate many citations and journal income through reprint sales and thereby be a source of conflicts of interest for journals. We investigated industry-supported trials' influence on journal impact factors and revenue. METHODS AND FINDINGS: we sampled six major medical journals (Annals of Internal Medicine, Archives of Internal Medicine, BMJ, JAMA, The Lancet, and New England Journal of Medicine [NEJM]. For each journal, we identified randomised trials published in 1996-1997 and 2005-2006 using PubMed, and categorized the type of financial support. Using Web of Science, we investigated citations of industry-supported trials and the influence on journal impact factors over a ten-year period. We contacted journal editors and retrieved tax information on income from industry sources. The proportion of trials with sole industry support varied between journals, from 7% in BMJ to 32% in NEJM in 2005-2006. Industry-supported trials were more frequently cited than trials with other types of support, and omitting them from the impact factor calculation decreased journal impact factors. The decrease varied considerably between journals, with 1% for BMJ to 15% for NEJM in 2007. For the two journals disclosing data, income from the sales of reprints contributed to 3% and 41% of the total income for BMJ and The Lancet in 2005-2006. CONCLUSIONS: publication of industry-supported trials was associated with an increase in journal impact factors. Sales of reprints may provide a substantial income. We suggest that journals disclose financial information in the same way that they require them from their authors, so that readers can assess the potential effect of different types of papers on journals' revenue and impact.

Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

Science.gov (United States)

Plenis, Alina; Rekowska, Natalia; Bączek, Tomasz

2016-01-21

This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis.

Confirmatory Factor Analysis of the School-Based Assessment Evaluation Scale Among Teachers

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Nor Hasnida Che Md. Ghazali

2016-09-01

Full Text Available The school-based assessment (SBA system is a holistic assessment system that is conducted in schools by subject teachers in assessing the students cognitive (intellect, affective (emotional and spiritual and psychomotor (physical aspects. It is in line with the National Philosophy of Education and the Standards-based School Curriculum in Malaysia. In order to evaluate the implementation of SBA, a measurement scale was validated. Questionnaire was used as an instrument for data collection. 776 primary and secondary school teachers were selected as respondents using stratified random sampling. The data was analyzed with SPSS and AMOS version 18. The aim of this paper was to explore different factor structures of the SBA evaluation scale by using the second-order Confirmatory Factor Analysis. Results indicated that the SBA evaluation model was a valid and reliable scale. The input measurement model was validated with two factors (personnel qualifications and physical infrastructure, process measurement model was validated with six factors (‘attitude’, ‘understanding’, ‘skills’, ‘challenges’, ‘moderation’ and ‘monitoring’ and product measurement model was validated with two factors (‘students’ attitude’ and ‘students’ motivation’. This study provides support for using a valid instrument in evaluating the implementation of SBA in schools. Furthermore, the CFA procedures used supported the conceptual framework set out earlier. Thus, it presents clearly the importance of the evaluation process of any education system to follow all the dimensions outlined in the evaluation model proposed by Daniel Stufflebeam.       Sistem Penilaian Berbasis Sekolah (SBA adalah sistem penilaian holistik yang dilakukan di sekolah-sekolah oleh guru mata pelajaran dalam menilai kognitif (kecerdasan, afektif (emosional dan spiritual dan psikomotorik (fisik siswa. Hal ini sejalan dengan Filsafat Pendidikan Nasional dan Kurikulum

Collection of human reaction times and supporting health related data for analysis of cognitive and physical performance

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Petr Brůha

2018-04-01

Full Text Available Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet and physical and cognitive inactivity that are associated with the risk of reduced cognitive performance. Definition, collection and annotation of human reaction times and suitable health related data and metadata provides researchers with a necessary source for further analysis of human physical and cognitive performance. The collection of human reaction times and supporting health related data was obtained from two groups comprising together 349 people of all ages - the visitors of the Days of Science and Technology 2016 held on the Pilsen central square and members of the Mensa Czech Republic visiting the neuroinformatics lab at the University of West Bohemia. Each provided dataset contains a complete or partial set of data obtained from the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions and flexibility. It also provides a sufficient set of metadata (age, gender and summary of the participant's current life style and health to allow researchers to perform further analysis. This article has two main aims. The first aim is to provide a well annotated collection of human reaction times and health related data that is suitable for further analysis of lifestyle and human cognitive and physical performance. This data collection is complemented with a preliminarily statistical evaluation. The second aim is to present a procedure of efficient acquisition of human reaction times and supporting health related data in non-lab and lab conditions. Keywords: Reaction time, Health related data, Cognitive and physical performance, Chronic disease, Data acquisition, Data collection, Software for data collection

A replication of a factor analysis of motivations for trapping

Science.gov (United States)

Schroeder, Susan; Fulton, David C.

2015-01-01

Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998).  We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.

Are Facebook "Friends" Helpful? Development of a Facebook-Based Measure of Social Support and Examination of Relationships Among Depression, Quality of Life, and Social Support.

Science.gov (United States)

McCloskey, Wilfred; Iwanicki, Sierra; Lauterbach, Dean; Giammittorio, David M; Maxwell, Kendal

2015-09-01

Greater social support is predictive of lower depression and higher quality of life (QOL). However, the way in which social support is provided has changed greatly with the expanding role of social networking sites (e.g., Facebook). While there are numerous anecdotal accounts of the benefits of Facebook-based social support, little empirical evidence exists to support these assertions, and there are no empirically validated measures designed to assess social support provided via this unique social networking medium. This study sought to develop an empirically sound measure of Facebook-based social support (Facebook Measure of Social Support [FMSS]) and to assess how this new measure relates to previously established measures of support and two outcome variables: depression and QOL. Following exploratory factor analysis, the FMSS was determined to assess four factors of social support on Facebook (Perceived, Emotional, Negative, Received/Instrumental). The Negative Support factor on the FMSS was most strongly related to both depression and QOL with magnitudes (and direction of relationships) comparable to a traditional measure of perceived social support. However, two FMSS factors (Received/Instrumental and Perceived) were unrelated to both mental health outcomes. Contrary to expectations, elevations in one FMSS factor (Emotional) was associated with worse symptoms of depression and poorer psychological QOL. When taken together, only the absence of negative social support on Facebook is significantly predictive of mental health functioning. Consequently, those hoping to use Facebook as a medium for reducing depression or improving QOL are unlikely to realize significant therapeutic benefits.

A human factor analysis of a radiotherapy accident

International Nuclear Information System (INIS)

Thellier, S.

2009-01-01

Since September 2005, I.R.S.N. studies activities of radiotherapy treatment from the angle of the human and organizational factors to improve the reliability of treatment in radiotherapy. Experienced in nuclear industry incidents analysis, I.R.S.N. analysed and diffused in March 2008, for the first time in France, the detailed study of a radiotherapy accident from the angle of the human and organizational factors. The method used for analysis is based on interviews and documents kept by the hospital. This analysis aimed at identifying the causes of the difference recorded between the dose prescribed by the radiotherapist and the dose effectively received by the patient. Neither verbal nor written communication (intra-service meetings and protocols of treatment) allowed information to be transmitted correctly in order to permit radiographers to adjust the irradiation zones correctly. This analysis highlighted the fact that during the preparation and the carrying out of the treatment, various factors led planned controls to not be performed. Finally, this analysis highlighted the fact that unsolved areas persist in the report over this accident. This is due to a lack of traceability of a certain number of key actions. The article concluded that there must be improvement in three areas: cooperation between the practitioners, control of the actions and traceability of the actions. (author)