Predictors of academic performance for applicants to an international dental studies program in the United States.

PubMed

Pitigoi-Aron, Gabriela; King, Patricia A; Chambers, David W

2011-12-01

The number of U.S. and Canadian dental schools offering programs for dentists with degrees from other countries leading to the D.D.S. or D.M.D. degree has increased recently. This fact, along with the diversity of educational systems represented by candidates for these programs, increases the importance of identifying valid admissions predictors of success in international dental student programs. Data from 148 students accepted into the international dental studies program at the University of the Pacific from 1994 through 2004 were analyzed. Dependent variables were comprehensive cumulative GPA at the end of both the first and second years of the two-year program. The Test of English as a Foreign Language (TOEFL) and both Parts I and II of the National Board Dental Examination (NBDE) were significant positive predictors of success. Performance on laboratory tests of clinical skill in operative dentistry and in fixed prosthodontics and ratings from interviewers were not predictive of overall success in the program. Although this study confirms the predictive value of written tests such as the TOEFL and NBDE, it also contributes to the literature documenting inconsistent results regarding other types of predictors. It may be the case that characteristics of individual programs or features of the applicant pools for each may require use of admissions predictors that are unique to schools.

Predictors of women's exercise maintenance after cardiac rehabilitation.

PubMed

Moore, Shirley M; Dolansky, Mary A; Ruland, Cornelia M; Pashkow, Fredric J; Blackburn, Gordon G

2003-01-01

Less than 50% of persons who participate in cardiac rehabilitation (CR) programs maintain an exercise regimen for as long as 6 months after completion. This study was conducted to identify factors that predict women's exercise following completion of a CR program. In this prospective, descriptive study, a convenience sample of 60 women were recruited at completion of a phase II CR program. Exercise was measured using a heart rate wristwatch monitor over 3 months. Predictor variables collected at the time of the subjects' enrollment were age, body mass index, cardiac functional status, comorbidity, muscle or joint pain, motivation, mood state, social support, self-efficacy, perceived benefits or barriers, and prior exercise. Of women, 25% did not exercise at all following completion of a CR program and only 48% of the subjects were exercising at 3 months. Different predictors were found of the various dimensions of exercise maintenance. Predictors of exercise frequency were comorbidity and instrumental social support. Instrumental social support was the only predictor of exercise persistence. Comorbidity was the only predictor of exercise intensity. The only predictor of the total amount of exercise was benefits or barriers. Interventions aimed at increasing women's exercise should focus on increasing their problem-solving abilities to reduce barriers to exercise and increase social support by family and friends. Because comorbidity was a significant predictor of exercise, women should be encouraged to use exercise techniques that reduce impact on muscles and joints (eg, swimming) or exercising for short periods several times a day.

Estimating the Classification Efficiency of a Test Battery.

ERIC Educational Resources Information Center

De Corte, Wilfried

2000-01-01

Shows how a theorem proven by H. Brogden (1951, 1959) can be used to estimate the allocation average (a predictor based classification of a test battery) assuming that the predictor intercorrelations and validities are known and that the predictor variables have a joint multivariate normal distribution. (SLD)

Predictors of treatment attrition as indicators for program improvement not offender shortcomings: a study of sex offender treatment attrition.

PubMed

Beyko, Michelle J; Wong, Stephen C P

2005-10-01

This study classified potential attrition predictors under the domains of risk, need and responsivity (D. Andrews & J. Bonta, 2003). Non-sexual criminogenic needs (e.g. aggression, rule violating behaviors) and responsivity factors (e.g. lack of motivation and denial) were the two main clusters of predictors that correctly classified 95.3% of program completers and non-completers using discriminant function analysis in a sample of high-risk male sexual offenders treated in an accredited inpatient sex offender treatment program. Rapists were more aggressive than other types of sex offenders and were more likely to drop out of treatment. Some studies of predictors of treatment attrition have used offender problem behaviors or psychopathologies to predict attrition and then use the information to exclude offenders from treatment. Others have argued, and we concur, that results of attrition research should not be used to develop an "attrition profile" to exclude offenders from treatment. Predictors of attrition should be seen as markers for program improvement, rather than shortcomings of the offender. Suggestions for program improvements to reduce the rate of attrition, based on results of research, are presented.

Effect of obesity and insulin resistance on myocardial substrate metabolism and efficiency in young women.

PubMed

Peterson, Linda R; Herrero, Pilar; Schechtman, Kenneth B; Racette, Susan B; Waggoner, Alan D; Kisrieva-Ware, Zulia; Dence, Carmen; Klein, Samuel; Marsala, JoAnn; Meyer, Timothy; Gropler, Robert J

2004-05-11

Obesity is a risk factor for impaired cardiac performance, particularly in women. Animal studies suggest that alterations in myocardial fatty acid metabolism and efficiency in obesity can cause decreased cardiac performance. In the present study, we tested the hypothesis that myocardial fatty acid metabolism and efficiency are abnormal in obese women. We studied 31 young women (body mass index [BMI] 19 to 52 kg/m2); 19 were obese (BMI >30 kg/m2). Myocardial oxygen consumption (MVO2) and fatty acid uptake (MFAUp), utilization (MFAU), and oxidation (MFAO) were quantified by positron emission tomography. Cardiac work was measured by echocardiography, and efficiency was calculated as work/MVO2. BMI correlated with MVO2 (r=0.58, P=0.0006), MFAUp (r=0.42, P<0.05), and efficiency (r=-0.40, P<0.05). Insulin resistance, quantified by the glucose area under the curve (AUC) during an oral glucose tolerance test, correlated with MFAUp (r=0.55, P<0.005), MFAU (r=0.62, P<0.001), and MFAO (r=0.58, P<0.005). A multivariate, stepwise regression analysis showed that BMI was the only independent predictor of MVO2 and efficiency (P=0.0005 and P<0.05, respectively). Glucose AUC was the only independent predictor of MFAUp, MFAU, and MFAO (P<0.05, <0.005, and <0.005, respectively). In young women, obesity is a significant predictor of increased MVO2 and decreased efficiency, and insulin resistance is a robust predictor of MFAUp, MFAU, and MFAO. This increase in fatty acid metabolism and decrease in efficiency is concordant with observations made in experimental models of obesity. These metabolic changes may play a role in the pathogenesis of decreased cardiac performance in obese women.

Can You Hack It? Validating Predictors for IT Boot Camps

NASA Astrophysics Data System (ADS)

Gear, Courtney C.

Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy scores and the logic test score as a predictor. Exploratory analyses indicated a Dunning-Kruger effect where students with lower education levels experience higher overall mood during the training program. Limitations of the study included small sample size, severe range restriction in predictor scores, lack of variance in predictor scores, and low variability in training program success. These limitations made identifying jumps between training stages difficult to identify. By identifying which predictors matter most for each stage of skill acquisition, further research should consider more objective variables such as instructor scores which can serve as a guideline to better asses what stage learners join at and how to design curriculum and assignments accordingly (Honken, 2013).

Comparing species distribution models constructed with different subsets of environmental predictors

USGS Publications Warehouse

Bucklin, David N.; Basille, Mathieu; Benscoter, Allison M.; Brandt, Laura A.; Mazzotti, Frank J.; Romañach, Stephanie S.; Speroterra, Carolina; Watling, James I.

2014-01-01

Our results indicate that additional predictors have relatively minor effects on the accuracy of climate-based species distribution models and minor to moderate effects on spatial predictions. We suggest that implementing species distribution models with only climate predictors may provide an effective and efficient approach for initial assessments of environmental suitability.

[Predictors of efficiency of autogenous melodeclamation training in patients with chronic somatic pathology].

PubMed

Trdatian, N A

2009-01-01

This controlled study involving 99 patients with chronic somatic diseases (CSD) had the objective to identify psychological predictors of the efficiency of a new method of psychotherapy, namely autogenous melodeclamation training (AMDT). Dynamics of the psychological status of the patients in the course of therapy was assessed using SMOL test, Spilberger STAI test, overall health-physical activity-mood test, and Beck depression inventory. It was shown that moderately compromised psychological adaptation and minor depressive disorders were the most reliable predictors of marked improvement of the patients' psychological status under effect of autogenous melodeclamation training included in the combined rehabilitative therapy of chronic somatic diseases.

IRB Process Improvements: A Machine Learning Analysis.

PubMed

Shoenbill, Kimberly; Song, Yiqiang; Cobb, Nichelle L; Drezner, Marc K; Mendonca, Eneida A

2017-06-01

Clinical research involving humans is critically important, but it is a lengthy and expensive process. Most studies require institutional review board (IRB) approval. Our objective is to identify predictors of delays or accelerations in the IRB review process and apply this knowledge to inform process change in an effort to improve IRB efficiency, transparency, consistency and communication. We analyzed timelines of protocol submissions to determine protocol or IRB characteristics associated with different processing times. Our evaluation included single variable analysis to identify significant predictors of IRB processing time and machine learning methods to predict processing times through the IRB review system. Based on initial identified predictors, changes to IRB workflow and staffing procedures were instituted and we repeated our analysis. Our analysis identified several predictors of delays in the IRB review process including type of IRB review to be conducted, whether a protocol falls under Veteran's Administration purview and specific staff in charge of a protocol's review. We have identified several predictors of delays in IRB protocol review processing times using statistical and machine learning methods. Application of this knowledge to process improvement efforts in two IRBs has led to increased efficiency in protocol review. The workflow and system enhancements that are being made support our four-part goal of improving IRB efficiency, consistency, transparency, and communication.

Knee OA: which patients are unlikely to benefit from manual PT and exercise?

PubMed

Deyle, Gail D; Gill, Norman W; Allison, Stephen C; Hando, Benjamin R; Rochino, Duneley A

2012-01-01

The combination of manual physical therapy and exercise provides important benefit for more than 80% of patients with knee osteoarthritis (OA). Our objective was to determine predictor variables for patients unlikely to respond to these interventions. We used a retrospective combined cohort study design to develop a preliminary clinical prediction rule (CPR). To determine useful predictors of nonsuccess, we used an extensive set of 167 baseline variables. These variables were extracted from standardized examination forms used with 101 patients(64 women and 37 men with a mean age of 60.5}11.8 and 63.6}9.3 years, respectively) in 2 previously published clinical trials. We classified patients based on whether they achieved a clinically meaningful benefit of at least 12%improvement in Western Ontario MacMaster(WOMAC) scores after 4 weeks of treatment using the smallest and most efficient subset of predictors. The variables of patellofemoral pain, anterior cruciate ligament laxity, and height >1.71 m (5’7’’) comprise the CPR. Patients with at least 2 positive tests yield eda posttest probability of 88% for nonsuccess with this treatment (positive likelihood ratio=36.7). The overall prognostic accuracy of the CPR was 96%. Most patients with knee OA will benefit from a low-risk, cost-effective program of manual physical therapy and supporting exercise.1,2 The few patients who may not benefit from such a program are identifiable by a simple (preliminary) CPR. After validation,this rule could improve primary patient management,allowing more appropriate referrals and choices in intervention.

Parent Participation within Community Center or In-Home Outreach Delivery Models of the Early Risers Conduct Problems Prevention Program

ERIC Educational Resources Information Center

Bloomquist, Michael L; August, Gerald J.; Lee, Susanne S.; Piehler, Timothy F.; Jensen, Marcia

2012-01-01

A variety of predictors of parent participation in prevention programming have been identified in past research, but few studies have investigated how those predictors may vary by implementation context. Patterns of parent participation were examined in the Early Risers Conduct Problems Prevention Program using two family-focused service delivery…

Two SPSS programs for interpreting multiple regression results.

PubMed

Lorenzo-Seva, Urbano; Ferrando, Pere J; Chico, Eliseo

2010-02-01

When multiple regression is used in explanation-oriented designs, it is very important to determine both the usefulness of the predictor variables and their relative importance. Standardized regression coefficients are routinely provided by commercial programs. However, they generally function rather poorly as indicators of relative importance, especially in the presence of substantially correlated predictors. We provide two user-friendly SPSS programs that implement currently recommended techniques and recent developments for assessing the relevance of the predictors. The programs also allow the user to take into account the effects of measurement error. The first program, MIMR-Corr.sps, uses a correlation matrix as input, whereas the second program, MIMR-Raw.sps, uses the raw data and computes bootstrap confidence intervals of different statistics. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from http://brm.psychonomic-journals.org/content/supplemental.

Predicting Teacher Participation in a Classroom-Based, Integrated Preventive Intervention for Preschoolers.

PubMed

Baker, Courtney N; Kupersmidt, Janis B; Voegler-Lee, Mary Ellen; Arnold, David H; Willoughby, Michael T

2010-01-01

Preschools provide a promising setting in which to conduct preventive interventions for childhood problems, but classroom programs can only be effective if teachers are willing and able to implement them. This study is one of the first to investigate predictors of the frequency of teacher participation in a classroom-based, randomized controlled trial of an integrated prevention program for preschoolers. The intervention was designed to promote school readiness with an integrated social and academic program, to be implemented by teachers with the support of classroom consultants. The current study is part of a larger project conducted with Head Start and community child care centers that serve primarily economically disadvantaged families; 49 teachers from 30 centers participated in this study. Overall, teachers conducted approximately 70% of the program activities. Participation decreased significantly over time from the first to the final week of the intervention, and also decreased within each week of the intervention, from the first to the final weekly activity. Teachers working at community child care centers implemented more intervention activities than did Head Start teachers. Teacher concerns about the intervention, assessed prior to training, predicted less participation. In addition, teachers' participation was positively related to their perception that their centers and directors were supportive, collegial, efficient, and fair, as well as their job satisfaction and commitment. Teacher experience, education, ethnicity, and self-efficacy were not significantly related to participation. In multi-level models that considered center as a level of analysis, substantial variance was accounted for by centers, pointing to the importance of considering center-level predictors in future research.

Predicting Teacher Participation in a Classroom-Based, Integrated Preventive Intervention for Preschoolers

PubMed Central

Baker, Courtney N.; Kupersmidt, Janis B.; Voegler-Lee, Mary Ellen; Arnold, David H.; Willoughby, Michael T.

2009-01-01

Preschools provide a promising setting in which to conduct preventive interventions for childhood problems, but classroom programs can only be effective if teachers are willing and able to implement them. This study is one of the first to investigate predictors of the frequency of teacher participation in a classroom-based, randomized controlled trial of an integrated prevention program for preschoolers. The intervention was designed to promote school readiness with an integrated social and academic program, to be implemented by teachers with the support of classroom consultants. The current study is part of a larger project conducted with Head Start and community child care centers that serve primarily economically disadvantaged families; 49 teachers from 30 centers participated in this study. Overall, teachers conducted approximately 70% of the program activities. Participation decreased significantly over time from the first to the final week of the intervention, and also decreased within each week of the intervention, from the first to the final weekly activity. Teachers working at community child care centers implemented more intervention activities than did Head Start teachers. Teacher concerns about the intervention, assessed prior to training, predicted less participation. In addition, teachers' participation was positively related to their perception that their centers and directors were supportive, collegial, efficient, and fair, as well as their job satisfaction and commitment. Teacher experience, education, ethnicity, and self-efficacy were not significantly related to participation. In multi-level models that considered center as a level of analysis, substantial variance was accounted for by centers, pointing to the importance of considering center-level predictors in future research. PMID:21103189

Electronic surveillance systems in infection prevention: Organizational support, program characteristics, and user satisfaction

PubMed Central

Grota, Patti G.; Stone, Patricia W.; Jordan, Sarah; Pogorzelska, Monika; Larson, Elaine

2012-01-01

Background The use of electronic surveillance systems (ESSs) is gradually increasing in infection prevention and control programs. Little is known about the characteristics of hospitals that have a ESS, user satisfaction with ESSs, and organizational support for implementation of ESSs. Methods A total of 350 acute care hospitals in California were invited to participate in a Web-based survey; 207 hospitals (59%) agreed to participate. The survey included a description of infection prevention and control department staff, where and how they spent their time, a measure of organizational support for infection prevention and control, and reported experience with ESSs. Results Only 23% (44/192) of responding infection prevention and control departments had an ESS. No statistically significant difference was seen in how and where infection preventionists (IPs) who used an ESS and those who did not spend their time. The 2 significant predictors of whether an ESS was present were score on the Organizational Support Scale (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.02-1.18) and hospital bed size (OR, 1.004; 95% CI, 1.00-1.007). Organizational support also was positively correlated with IP satisfaction with the ESS, as measured on the Computer Usability Scale (P = .02). Conclusion Despite evidence that such systems may improve efficiency of data collection and potentially improve patient outcomes, ESSs remain relatively uncommon in infection prevention and control programs. Based on our findings, organizational support appears to be a major predictor of the presence, use, and satisfaction with ESSs in infection prevention and control programs. PMID:20176411

Electronic surveillance systems in infection prevention: organizational support, program characteristics, and user satisfaction.

PubMed

Grota, Patti G; Stone, Patricia W; Jordan, Sarah; Pogorzelska, Monika; Larson, Elaine

2010-09-01

The use of electronic surveillance systems (ESSs) is gradually increasing in infection prevention and control programs. Little is known about the characteristics of hospitals that have a ESS, user satisfaction with ESSs, and organizational support for implementation of ESSs. A total of 350 acute care hospitals in California were invited to participate in a Web-based survey; 207 hospitals (59%) agreed to participate. The survey included a description of infection prevention and control department staff, where and how they spent their time, a measure of organizational support for infection prevention and control, and reported experience with ESSs. Only 23% (44/192) of responding infection prevention and control departments had an ESS. No statistically significant difference was seen in how and where infection preventionists (IPs) who used an ESS and those who did not spend their time. The 2 significant predictors of whether an ESS was present were score on the Organizational Support Scale (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.02-1.18) and hospital bed size (OR, 1.004; 95% CI, 1.00-1.007). Organizational support also was positively correlated with IP satisfaction with the ESS, as measured on the Computer Usability Scale (P = .02). Despite evidence that such systems may improve efficiency of data collection and potentially improve patient outcomes, ESSs remain relatively uncommon in infection prevention and control programs. Based on our findings, organizational support appears to be a major predictor of the presence, use, and satisfaction with ESSs in infection prevention and control programs.

Job-mix modeling and system analysis of an aerospace multiprocessor.

NASA Technical Reports Server (NTRS)

Mallach, E. G.

1972-01-01

An aerospace guidance computer organization, consisting of multiple processors and memory units attached to a central time-multiplexed data bus, is described. A job mix for this type of computer is obtained by analysis of Apollo mission programs. Multiprocessor performance is then analyzed using: 1) queuing theory, under certain 'limiting case' assumptions; 2) Markov process methods; and 3) system simulation. Results of the analyses indicate: 1) Markov process analysis is a useful and efficient predictor of simulation results; 2) efficient job execution is not seriously impaired even when the system is so overloaded that new jobs are inordinately delayed in starting; 3) job scheduling is significant in determining system performance; and 4) a system having many slow processors may or may not perform better than a system of equal power having few fast processors, but will not perform significantly worse.

Men's and Women's Intentions to Persist in Undergraduate Engineering Degree Programs

ERIC Educational Resources Information Center

Concannon, James P.; Barrow, Lloyd H.

2010-01-01

This is a quantitative study of 493 undergraduate engineering majors' intentions to persist in their engineering program. Using a multiple analysis of variance analysis, men and women had one common predictor for their intentions to persist, engineering career outcome expectations. However, the best sociocognitive predictor for men's persistence…

Predictors of retention in a drug-free unit/substance abuse treatment in prison.

PubMed

Casares-López, María José; González-Menéndez, Ana; Festinger, David S; Fernández-García, Paula; Fernández-Hermida, José Ramón; Secades, Roberto; Matejkowski, Jason

2013-01-01

The high rate of dropout from treatment programs is a recurring problem in the field of drug dependence. The purpose of this study was to identify the predictors of retention in a prison-based drug-free unit (DFU). The relationships among subscales of the Addiction Severity Index (ASI) as well as motivation and personality profiles and length of stay in a DFU, of 57 prisoners admitted for the first time to the program were analyzed. The mean dropout rates were 52.9% at six months and 67.8% at one year. The mean length of stay was 195.05 days. Predictors of retention at six months included the ASI Family Composite Score, the motivation subscale Taking Steps, and Narcissistic personality trait score. Predictors of retention at one year included lower ASI Psychological Composite Score, higher scores on the motivation subscale Ambivalence, and higher number of charges pending at the time of admission to the program. Identification of these predictor variables may be useful for developing strategies to increase retention in the context of in-prison substance abuse treatment. Copyright © 2013. Published by Elsevier Ltd.

Parental engagement in preventive parenting programs for child mental health: a systematic review of predictors and strategies to increase engagement

PubMed Central

Finan, Samantha J.; Swierzbiolek, Brooke; Priest, Naomi; Warren, Narelle

2018-01-01

Background Child mental health problems are now recognised as a key public health concern. Parenting programs have been developed as one solution to reduce children’s risk of developing mental health problems. However, their potential for widespread dissemination is hindered by low parental engagement, which includes intent to enrol, enrolment, and attendance. To increase parental engagement in preventive parenting programs, we need a better understanding of the predictors of engagement, and the strategies that can be used to enhance engagement. Method Employing a PRISMA method, we conducted a systematic review of the predictors of parent engagement and engagement enhancement strategies in preventive parenting programs. Key inclusion criteria included: (1) the intervention is directed primarily at the parent, (2) parent age >18 years, the article is (3) written in English and (4) published between 2004–2016. Stouffer’s method of combining p-values was used to determine whether associations between variables were reliable. Results Twenty-three articles reported a variety of predictors of parental engagement and engagement enhancement strategies. Only one of eleven predictors (child mental health symptoms) demonstrated a reliable association with enrolment (Stouffer’s p < .01). Discussion There was a lack of consistent evidence for predictors of parental engagement. Nonetheless, preliminary evidence suggests that engagement enhancement strategies modelled on theories, such as the Health Belief Model and Theory of Planned Behaviour, may increase parents’ engagement. Systematic review registration PROSPERO CRD42014013664. PMID:29719737

Software Requirements Analysis as Fault Predictor

NASA Technical Reports Server (NTRS)

Wallace, Dolores

2003-01-01

Waiting until the integration and system test phase to discover errors leads to more costly rework than resolving those same errors earlier in the lifecycle. Costs increase even more significantly once a software system has become operational. WE can assess the quality of system requirements, but do little to correlate this information either to system assurance activities or long-term reliability projections - both of which remain unclear and anecdotal. Extending earlier work on requirements accomplished by the ARM tool, measuring requirements quality information against code complexity and test data for the same system may be used to predict specific software modules containing high impact or deeply embedded faults now escaping in operational systems. Such knowledge would lead to more effective and efficient test programs. It may enable insight into whether a program should be maintained or started over.

Predictors of performance in an ophthalmology residency program.

PubMed

Alfawaz, Abdullah M; Al-Dahmash, Saad A

2016-06-01

To assess the value of current selection criteria and additional factors as predictors of performance in an ophthalmology residency training program. A retrospective study. Data were collected from the files of 166 residents who were collectively trained in an ophthalmology residency program from 2000 to 2013. The program's selection criteria included medical school grade point average (GPA), Saudi licensing examination (SLE) score, multiple-choice question ophthalmology selection (MCQ) examination score, and interview mark. Indicators of performance included average scores in the promotion examination for 4 years of training (average R), King Saud University fellowship examination (KSU) score, and Saudi Board in Ophthalmology examination (SBO) score. An average of KSU and SBO scores was also used as a performance indicator. Times of program completion and average performance score across all years in the residency program were used as second-level indicators of performance. There were strong correlations between the MCQ examination score and each training performance indicator (average R, KSU score, SBO score, and average of KSU and SBO scores; p = 0.002, 0.008, 0.05, and 0.002, respectively). The interview mark correlated well with average R (p = 0.001) but not with other indicators. The MCQ examination score and the interview mark were the only predictors of second-level indicators of performance (p = 0.009 and 0.029, respectively). The MCQ examination score and interview mark were the 2 best predictors of performance as an ophthalmology resident. GPA and SLE score were poor predictors of performance. Copyright © 2016 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Prematriculation Program Grades as Predictors of Black and Other Nontraditional Students' First-Year Academic Performances.

ERIC Educational Resources Information Center

Hesser, Al; Lewis, Lloyd

1992-01-01

A study explored predictors of African-American and other nontraditional medical students' first-year academic performance at the Medical College of Georgia. Variables included undergraduate grades and grades in a summer prematriculation program (SPP) featuring biochemistry, anatomy, and immunology courses. SPP grades were found useful in…

TT : a program that implements predictor sort design and analysis

Treesearch

S. P. Verrill; D. W. Green; V. L. Herian

1997-01-01

In studies on wood strength, researchers sometimes replace experimental unit allocation via random sampling with allocation via sorts based on nondestructive measurements of strength predictors such as modulus of elasticity and specific gravity. This report documents TT, a computer program that implements recently published methods to increase the sensitivity of such...

Does clinical presentation predict response to a nonsurgical chronic disease management program for endstage hip and knee osteoarthritis?

PubMed

Eyles, Jillian P; Lucas, Barbara R; Patterson, Jillian A; Williams, Matthew J; Weeks, Kate; Fransen, Marlene; Hunter, David J

2014-11-01

To identify baseline characteristics of participants who will respond favorably following 6 months of participation in a chronic disease management program for hip and knee osteoarthritis (OA). This prospective cohort study assessed 559 participants at baseline and following 6 months of participation in the Osteoarthritis Chronic Care Program. Response was defined as the minimal clinically important difference of an 18% and 9-point absolute improvement in the Western Ontario and McMaster Universities Arthritis Index global score. Multivariate logistic regression modeling was used to identify predictors of response. Complete data were available for 308 participants. Those who withdrew within the study period were imputed as nonresponders. Three variables were independently associated with response: signal joint (knee vs hip), sex, and high level of comorbidity. Index joint and sex were significant in the multivariate model, but the model was not a sensitive predictor of response. Strong predictors of response to a chronic disease management program for hip and knee OA were not identified. The significant predictors that were found should be considered in future studies.

Predictors of Sustainability of Social Programs

ERIC Educational Resources Information Center

Savaya, Riki; Spiro, Shimon E.

2012-01-01

This article presents the findings of a large scale study that tested a comprehensive model of predictors of three manifestations of sustainability: continuation, institutionalization, and duration. Based on the literature the predictors were arrayed in four groups: variables pertaining to the project, the auspice organization, the community, and…

Effects of Internship Predictors on Successful Field Experience.

ERIC Educational Resources Information Center

Beard, Fred; Morton, Linda

1999-01-01

Finds that a majority of advertising and public-relations interns found their internships successful. Indicates that successful internships depend on predictors given the least attention by school programs: quality of supervision was the most important single predictor variable, followed in importance by organizational practices/policies, positive…

A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors

PubMed Central

Sriraam, N.

2012-01-01

Developments of new classes of efficient compression algorithms, software systems, and hardware for data intensive applications in today's digital health care systems provide timely and meaningful solutions in response to exponentially growing patient information data complexity and associated analysis requirements. Of the different 1D medical signals, electroencephalography (EEG) data is of great importance to the neurologist for detecting brain-related disorders. The volume of digitized EEG data generated and preserved for future reference exceeds the capacity of recent developments in digital storage and communication media and hence there is a need for an efficient compression system. This paper presents a new and efficient high performance lossless EEG compression using wavelet transform and neural network predictors. The coefficients generated from the EEG signal by integer wavelet transform are used to train the neural network predictors. The error residues are further encoded using a combinational entropy encoder, Lempel-Ziv-arithmetic encoder. Also a new context-based error modeling is also investigated to improve the compression efficiency. A compression ratio of 2.99 (with compression efficiency of 67%) is achieved with the proposed scheme with less encoding time thereby providing diagnostic reliability for lossless transmission as well as recovery of EEG signals for telemedicine applications. PMID:22489238

A high-performance lossless compression scheme for EEG signals using wavelet transform and neural network predictors.

PubMed

Sriraam, N

2012-01-01

Developments of new classes of efficient compression algorithms, software systems, and hardware for data intensive applications in today's digital health care systems provide timely and meaningful solutions in response to exponentially growing patient information data complexity and associated analysis requirements. Of the different 1D medical signals, electroencephalography (EEG) data is of great importance to the neurologist for detecting brain-related disorders. The volume of digitized EEG data generated and preserved for future reference exceeds the capacity of recent developments in digital storage and communication media and hence there is a need for an efficient compression system. This paper presents a new and efficient high performance lossless EEG compression using wavelet transform and neural network predictors. The coefficients generated from the EEG signal by integer wavelet transform are used to train the neural network predictors. The error residues are further encoded using a combinational entropy encoder, Lempel-Ziv-arithmetic encoder. Also a new context-based error modeling is also investigated to improve the compression efficiency. A compression ratio of 2.99 (with compression efficiency of 67%) is achieved with the proposed scheme with less encoding time thereby providing diagnostic reliability for lossless transmission as well as recovery of EEG signals for telemedicine applications.

Predictors of HIV/AIDS Programming in African American Churches: Implications for HIV Prevention, Testing, and Care

ERIC Educational Resources Information Center

Stewart, Jennifer M.; Hanlon, Alexandra; Brawner, Bridgette M.

2017-01-01

Using data from the National Congregational Study, we examined predictors of having an HIV/AIDS program in predominately African American churches across the United States. We conducted regression analyses of Wave II data (N = 1,506) isolating the sample to churches with a predominately African American membership. The dependent variable asked…

Predictors of Attrition and Achievement in a Tertiary Bridging Program

ERIC Educational Resources Information Center

Whannell, Robert

2013-01-01

This study examines the attrition and achievement of a sample of 295 students in an on-campus tertiary bridging program at a regional university. A logistic regression analysis using enrolment status, age and the number of absences from scheduled classes at week three of the semester as predictor variables correctly predicted 92.8 percent of…

Predictors of HIV/AIDS Programming in African American Churches: Implications for Prevention, Testing and Care

PubMed Central

Stewart, Jennifer M.; Hanlon, Alexandra; Brawner, Bridgette M.

2017-01-01

Using data from the National Congregational Study, we examined predictors of having a HIV/AIDS program in predominately African American churches across the United States. We conducted regression analyses of Wave II data (N = 1,506) isolating the sample to churches with a predominately African American membership. The dependent variable asked whether or not the congregation currently had any program focused on HIV or AIDS. Independent variables included several variables from the individual, organizational, and social levels. Our study revealed that region, clergy age, congregant disclosure of HIV-positive status, permitting cohabiting couples to be members, sponsorship or participation in programs targeted to physical health issues and having a designated person or committee to address health-focused programs significantly increased the likelihood of African American churches having a HIV/AIDS program. A paucity of nationally representative research focuses on the social, organizational and individual level predictors of having HIV/AIDS programs in African American churches. Determining the characteristics of churches with HIV/AIDS programming at multiple levels is a critical and necessary approach with significant implications for partnering with African American churches in HIV initiatives. PMID:27540035

Contextual knowledge reduces demands on working memory during reading.

PubMed

Miller, Lisa M Soederberg; Cohen, Jason A; Wingfield, Arthur

2006-09-01

An experiment is reported in which young, middle-aged, and older adults read and recalled ambiguous texts either with or without the topic title that supplied contextual knowledge. Within each of the age groups, the participants were divided into those with high or low working memory (WM) spans, with available WM capacity further manipulated by the presence or absence of an auditory target detection task concurrent with the reading task. Differences in reading efficiency (reading time per proposition recalled) between low WM span and high WM span groups were greater among readers who had access to contextual knowledge relative to those who did not, suggesting that contextual knowledge reduces demands on WM capacity. This position was further supported by the finding that increased age and attentional demands, two factors associated with reduced WM capacity, exaggerated the benefits of contextual knowledge on reading efficiency. The relative strengths of additional potential predictors of reading efficiency (e.g., interest, effort, and memory beliefs), along with knowledge, WM span, and age, are reported. Findings showed that contextual knowledge was the strongest predictor of reading efficiency even after controlling for the effects of all of the other predictors.

Hierarchical Adaptive Regression Kernels for Regression with Functional Predictors.

PubMed

Woodard, Dawn B; Crainiceanu, Ciprian; Ruppert, David

2013-01-01

We propose a new method for regression using a parsimonious and scientifically interpretable representation of functional predictors. Our approach is designed for data that exhibit features such as spikes, dips, and plateaus whose frequency, location, size, and shape varies stochastically across subjects. We propose Bayesian inference of the joint functional and exposure models, and give a method for efficient computation. We contrast our approach with existing state-of-the-art methods for regression with functional predictors, and show that our method is more effective and efficient for data that include features occurring at varying locations. We apply our methodology to a large and complex dataset from the Sleep Heart Health Study, to quantify the association between sleep characteristics and health outcomes. Software and technical appendices are provided in online supplemental materials.

FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors.

PubMed

Lorenzo-Seva, Urbano; Ferrando, Pere J

2011-03-01

We provide an SPSS program that implements currently recommended techniques and recent developments for selecting variables in multiple linear regression analysis via the relative importance of predictors. The approach consists of: (1) optimally splitting the data for cross-validation, (2) selecting the final set of predictors to be retained in the equation regression, and (3) assessing the behavior of the chosen model using standard indices and procedures. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from brm.psychonomic-journals.org/content/supplemental.

A meta-analysis of predictors of offender treatment attrition and its relationship to recidivism.

PubMed

Olver, Mark E; Stockdale, Keira C; Wormith, J Stephen

2011-02-01

The failure of offenders to complete psychological treatment can pose significant concerns, including increased risk for recidivism. Although a large literature identifying predictors of offender treatment attrition has accumulated, there has yet to be a comprehensive quantitative review. A meta-analysis of the offender treatment literature was conducted to identify predictors of offender treatment attrition and examine its relationship to recidivism. The review covered 114 studies representing 41,438 offenders. Sex offender and domestic violence programs were also examined separately given their large independent literatures. The overall attrition rate was 27.1% across all programs (k = 96), 27.6% from sex offender programs (k = 34), and 37.8% from domestic violence programs (k = 35). Rates increased when preprogram attrition was considered. Significant predictors included demographic characteristics (e.g., age, rw = -.10), criminal history and personality variables (e.g., prior offenses, rw = .14; antisocial personality, rw = .14), psychological concerns (e.g., intelligence, rw = -.14), risk assessment measures (e.g., Statistical Information on Recidivism scale, rw =.18), and treatment-related attitudes and behaviors (e.g., motivation, rw = -.13). Results indicated that treatment noncompleters were higher risk offenders and attrition from all programs significantly predicted several recidivism outcomes ranging from rw = .08 to .23. The clients who stand to benefit the most from treatment (i.e., high-risk, high-needs) are the least likely to complete it. Offender treatment attrition can be managed and clients can be retained through an awareness of, and attention to, key predictors of attrition and adherence to responsivity considerations.

Short- and Long-Term Theory-Based Predictors of Physical Activity in Women Who Participated in a Weight-Management Program

ERIC Educational Resources Information Center

Wasserkampf, A.; Silva, M. N.; Santos, I. C.; Carraça, E. V.; Meis, J. J. M.; Kremers, S. P. J.; Teixeira, P. J.

2014-01-01

This study analyzed psychosocial predictors of the Theory of Planned Behavior (TPB) and Self-Determination Theory (SDT) and evaluated their associations with short- and long-term moderate plus vigorous physical activity (MVPA) and lifestyle physical activity (PA) outcomes in women who underwent a weight-management program. 221 participants (age…

Predictors of Change in Body Image in Female Participants of an Outdoor Education Program

ERIC Educational Resources Information Center

Hovey, Kate; Foland, Jody; Foley, John T.; Kniffin, Mike; Bailey, JoEllen

2016-01-01

Body image is an ever-changing phenomenon that has a profound effect on women's quality of life. Research related to body image is expansive, but few researchers have focused on how outdoor education may influence body image. This study examines predictors of change in body image of female participants of an outdoor education program. Twenty-eight…

Motivational Factors and Predictors for Attending a Continuing Education Program for Older Adults

ERIC Educational Resources Information Center

Cachioni, Meire; Nascimento Ordonez, Tiago; Lima da Silva, Thais Bento; Tavares Batistoni, Samila Sathler; Sanches Yassuda, Mônica; Caldeira Melo, Ruth; Rodrigues da Costa Domingues, Marisa Accioly; Lopes, Andrea

2014-01-01

The objectives were to describe the stated motives of participants who enrolled in a program at the Open University for the Elderly (UnATI, in Portuguese), identify correlations between the stated motives and sociodemographic data, and find a set of predictors related to the listed motives. A total of 306 middle-aged and elderly adults aged 50 or…

Prediction of Academic Achievement in an NATA-Approved Graduate Athletic Training Education Program

PubMed Central

Keskula, Douglas R.; Sammarone, Paula G.; Perrin, David H.

1995-01-01

The Purpose of this investigation was to determine which information used in the applicant selection process would best predict the final grade point average of students in a National Athletic Trainers Association (NATA) graduate athletic training education program. The criterion variable used was the graduate grade-point average (GPAg) calculated at the completion of the program of study. The predictor variables included: 1) Graduate Record Examination-Quantitative (GRE-Q) scores; and 2) Graduate Record Examination-Verbal (GRE-V) scores, 3) preadmission grade point average (GPAp), 4) total athletic training hours (hours), and 5) curriculum or internship undergraduate athletic training education (program). Data from 55 graduate athletic training students during a 5-year period were evaluated. Stepwise multiple regression analysis indicated that GPAp was a significant predictor of GPAg, accounting for 34% of the variance. GRE-Q, GRE-V, hours, and program did not significantly contribute individually or in combination to the prediction of GPAg. The results of this investigation suggest that, of the variables examined, GPAp is the best predictor of academic success in an NATA-approved graduate athletic training education program. PMID:16558312

Households with young children and use of freely distributed bednets in rural Madagascar.

PubMed

Krezanoski, Paul J; Comfort, Alison B; Tsai, Alexander C; Bangsberg, David R

2014-03-01

Malaria infections are the leading cause of death for children in Madagascar. Insecticide-treated bednets offer effective prevention, but it is unclear how well free bednet distribution programs reach young children. We conducted a secondary analysis of a free bednet distribution program in Madagascar from 2007-2008. Interviews were performed at baseline and 6 months. Principal components analysis was used to construct a wealth and malaria knowledge index. Coverage efficiency was calculated as coverage of children per bednet owned. Univariable and multivariable regressions were used to determine predictors of bednet use. Bednet use, among the 560 households in the study, increased from 6 to 91% after 6 months. Coverage efficiency increased from 1.29 to 1.56 children covered per bednet owned. In multivariable analysis, having a child under 5 years of age was the only variable associated with bednet use (OR 9.10; p=0.001), yielding a 99% likelihood of using a bednet (95% CI 96.4 to 99.9%) versus 82% (95% CI 72.2 to 88.4%) in households without young children. This free bednet distribution program achieved high levels of adherence after 6 months. Household presence of children was associated with bednet use, but not household income or education, suggesting that distribution to priority groups may help overcome traditional barriers to adoption in some settings.

Predictors of matching in an ophthalmology residency program.

PubMed

Loh, Allison R; Joseph, Damien; Keenan, Jeremy D; Lietman, Thomas M; Naseri, Ayman

2013-04-01

To examine the characteristics of US medical students applying for ophthalmology residency and to determine the predictors of matching. A retrospective case series. A total of 3435 medical students from the United States who applied to an ophthalmology residency program from 2003 to 2008 were included. Matched and unmatched applicants were compared and stratified by predictor variables, including United States Medical Licensing Examination (USMLE) Step 1 score, Alpha Omega Alpha (AOA) status, medical school reputation, and medical school geographic region. Differences in proportions were analyzed using the Fisher exact test. Logistic regression was used to determine the predictors of successful matching. Successful matching to an ophthalmology program. The majority of applicants (72%, 2486/3435) matched in ophthalmology. In multivariate analysis, AOA membership (odds ratio [OR], 2.6, P<0.0001), USMLE score (OR, 1.6; P<0.0001), presence of an ophthalmology residency at medical school (OR, 1.4; P = 0.01), top 25 medical school (OR, 1.4; P<0.03), top 10 medical school (OR, 1.6; P<0.02), and allopathic degree (OR, 4.0; P<0.0001) were statistically significant predictors of matching. Approximately 60% (1442/2486) of applicants matched to the same geographic region as their medical school. Applicants were more likely to match at a program in the same geographic region as their medical school than would be predicted by chance alone (P<0.0001). In multivariate analysis, higher USMLE score (OR, 0.9; P<0.0001) and top 10 medical school (OR, 0.7; P = 0.027) were statistically significant predictors of matching to outside the geographic region as one's medical school. The majority of applicants applying for an ophthalmology residency position match successfully. Higher performance on quantitative metrics seems to confer an advantage for matching. The majority of applicants match at a residency program within the same geographic region as one's medical school. Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Alcohol--a predictor of risky sexual behavior among female adolescents.

PubMed

Lepusić, Dubravko; Radović-Radovcić, Sandra

2013-03-01

Alcohol use has been linked to risky sexual practices among adolescents. However, limited research on alcohol use and risky sexual behavior has been conducted among female adolescents. This study examined a high quantity of alcohol as a longitudinal predictor of risky sexual behavior and sexually transmitted diseases (STDs) among female adolescents. Three hundred ninety-three adolescent females aged 15-21 were assessed for alcohol use and risky sexual behaviors. Participants also provided 2 swab specimens that were assayed for STDs. Use of high alcohol quantity was defined as > or = 3 drinks in 1 sitting. Binary generalized estimating equation models were conducted assessing the impact of alcohol use at baseline on risky sexual behavior and STDs over a 12-month period. Age, intervention group and baseline outcome measures were entered as covariates. The results indicated that use of high alcohol quantity predicted inconsistent condom use, high sexual sensation seeking, multiple sexual partners, sex while high on alcohol or drugs, and having anal sex during 12-month follow-up period. These findings suggest that STD-related behavioral interventions for adolescents should discuss the link between alcohol and STD-risk behavior. Deeper understanding of alcohol as a predictor of risky sexual behavior among female adolescents is of paramount importance for development of efficient prevention programs at individual and community levels. The risk of acquiring an STD is higher among teenagers than among adults.

Examining Preservice Science Teacher Understanding of Nature of Science: Discriminating Variables on the Aspects of Nature of Science

NASA Astrophysics Data System (ADS)

Jones, William I.

This study examined the understanding of nature of science among participants in their final year of a 4-year undergraduate teacher education program at a Midwest liberal arts university. The Logic Model Process was used as an integrative framework to focus the collection, organization, analysis, and interpretation of the data for the purpose of (1) describing participant understanding of NOS and (2) to identify participant characteristics and teacher education program features related to those understandings. The Views of Nature of Science Questionnaire form C (VNOS-C) was used to survey participant understanding of 7 target aspects of Nature of Science (NOS). A rubric was developed from a review of the literature to categorize and score participant understanding of the target aspects of NOS. Participants' high school and college transcripts, planning guides for their respective teacher education program majors, and science content and science teaching methods course syllabi were examined to identify and categorize participant characteristics and teacher education program features. The R software (R Project for Statistical Computing, 2010) was used to conduct an exploratory analysis to determine correlations of the antecedent and transaction predictor variables with participants' scores on the 7 target aspects of NOS. Fourteen participant characteristics and teacher education program features were moderately and significantly ( p < .01) correlated with participant scores on the target aspects of NOS. The 6 antecedent predictor variables were entered into multiple regression analyses to determine the best-fit model of antecedent predictor variables for each target NOS aspect. The transaction predictor variables were entered into separate multiple regression analyses to determine the best-fit model of transaction predictor variables for each target NOS aspect. Variables from the best-fit antecedent and best-fit transaction models for each target aspect of NOS were then combined. A regression analysis for each of the combined models was conducted to determine the relative effect of these variables on the target aspects of NOS. Findings from the multiple regression analyses revealed that each of the fourteen predictor variables was present in the best-fit model for at least 1 of the 7 target aspects of NOS. However, not all of the predictor variables were statistically significant (p < .007) in the models and their effect (beta) varied. Participants in the teacher education program who had higher ACT Math scores, completed more high school science credits, and were enrolled either in the Middle Childhood with a science concentration program major or in the Adolescent/Young Adult Science Education program major were more likely to have an informed understanding on each of the 7 target aspects of NOS. Analyses of the planning guides and the course syllabi in each teacher education program major revealed differences between the program majors that may account for the results.

Assessment of Critical Thinking as a Predictor of Success in Completion of an Associate Degree Respiratory Care Program

ERIC Educational Resources Information Center

Campbell, Fiona B.

2017-01-01

The purpose of this study was to explore the relationship between assessment of critical thinking as admission criteria as a predictor of success in the completion of an associate degree respiratory care program. The research site was a community college located in the southern United States. The sample included 176 students who completed Health…

Predictors of Success on the National Council Licensure Examination for Registered Nurses among Transfer BSN Students

ERIC Educational Resources Information Center

Fortier, Mary E.

2010-01-01

This quantitative research study (N=175) examined predictors of first time success on the National Council Licensure Examination for Registered Nurses (NCLEX-RN) among transfer students in a baccalaureate degree program (BSN). The predictors were chosen after an extensive literature review yielded few studies related to this population. Benner's…

Self-consistent predictor/corrector algorithms for stable and efficient integration of the time-dependent Kohn-Sham equation

NASA Astrophysics Data System (ADS)

Zhu, Ying; Herbert, John M.

2018-01-01

The "real time" formulation of time-dependent density functional theory (TDDFT) involves integration of the time-dependent Kohn-Sham (TDKS) equation in order to describe the time evolution of the electron density following a perturbation. This approach, which is complementary to the more traditional linear-response formulation of TDDFT, is more efficient for computation of broad-band spectra (including core-excited states) and for systems where the density of states is large. Integration of the TDKS equation is complicated by the time-dependent nature of the effective Hamiltonian, and we introduce several predictor/corrector algorithms to propagate the density matrix, one of which can be viewed as a self-consistent extension of the widely used modified-midpoint algorithm. The predictor/corrector algorithms facilitate larger time steps and are shown to be more efficient despite requiring more than one Fock build per time step, and furthermore can be used to detect a divergent simulation on-the-fly, which can then be halted or else the time step modified.

LACIE performance predictor final operational capability program description, volume 3

NASA Technical Reports Server (NTRS)

1976-01-01

The requirements and processing logic for the LACIE Error Model program (LEM) are described. This program is an integral part of the Large Area Crop Inventory Experiment (LACIE) system. LEM is that portion of the LPP (LACIE Performance Predictor) which simulates the sample segment classification, strata yield estimation, and production aggregation. LEM controls repetitive Monte Carlo trials based on input error distributions to obtain statistical estimates of the wheat area, yield, and production at different levels of aggregation. LEM interfaces with the rest of the LPP through a set of data files.

Abstract Reasoning Ability as a Predictor of Vocational Success of Adult Retardates

ERIC Educational Resources Information Center

Bolton, Brian; Sugent, Elaine

1974-01-01

Validity of the Attitudes Toward Work and Money Questionnaire as a predictor of vocational adjustment for mentally retarded adults who were clients of an intensive rehabilitation program was assessed. (Author/RC)

Evidence-Based Prevention for Adolescent Substance Use.

PubMed

Harrop, Erin; Catalano, Richard F

2016-07-01

Due to the significant consequences of adolescent substance use behaviors, researchers have increasingly focused on prevention approaches. The field of prevention science is based on the identification of predictors of problem behaviors, and the development and testing of prevention programs that seek to change these predictors. As the field of prevention science moves forward, there are many opportunities for growth, including the integration of prevention programs into service systems and primary care, an expansion of program adaptations to fit the needs of local populations, and a greater emphasis on the development of programs targeted at young adult populations. Copyright © 2016 Elsevier Inc. All rights reserved.

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting.

PubMed

Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D

2018-01-01

Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for replication. This approach provides utility for the prediction of aggression behavior, particularly in the context of large multivariate datasets.

Changes in Brain Network Efficiency and Working Memory Performance in Aging

PubMed Central

Stanley, Matthew L.; Simpson, Sean L.; Dagenbach, Dale; Lyday, Robert G.; Burdette, Jonathan H.; Laurienti, Paul J.

2015-01-01

Working memory is a complex psychological construct referring to the temporary storage and active processing of information. We used functional connectivity brain network metrics quantifying local and global efficiency of information transfer for predicting individual variability in working memory performance on an n-back task in both young (n = 14) and older (n = 15) adults. Individual differences in both local and global efficiency during the working memory task were significant predictors of working memory performance in addition to age (and an interaction between age and global efficiency). Decreases in local efficiency during the working memory task were associated with better working memory performance in both age cohorts. In contrast, increases in global efficiency were associated with much better working performance for young participants; however, increases in global efficiency were associated with a slight decrease in working memory performance for older participants. Individual differences in local and global efficiency during resting-state sessions were not significant predictors of working memory performance. Significant group whole-brain functional network decreases in local efficiency also were observed during the working memory task compared to rest, whereas no significant differences were observed in network global efficiency. These results are discussed in relation to recently developed models of age-related differences in working memory. PMID:25875001

Changes in brain network efficiency and working memory performance in aging.

PubMed

Stanley, Matthew L; Simpson, Sean L; Dagenbach, Dale; Lyday, Robert G; Burdette, Jonathan H; Laurienti, Paul J

2015-01-01

Working memory is a complex psychological construct referring to the temporary storage and active processing of information. We used functional connectivity brain network metrics quantifying local and global efficiency of information transfer for predicting individual variability in working memory performance on an n-back task in both young (n = 14) and older (n = 15) adults. Individual differences in both local and global efficiency during the working memory task were significant predictors of working memory performance in addition to age (and an interaction between age and global efficiency). Decreases in local efficiency during the working memory task were associated with better working memory performance in both age cohorts. In contrast, increases in global efficiency were associated with much better working performance for young participants; however, increases in global efficiency were associated with a slight decrease in working memory performance for older participants. Individual differences in local and global efficiency during resting-state sessions were not significant predictors of working memory performance. Significant group whole-brain functional network decreases in local efficiency also were observed during the working memory task compared to rest, whereas no significant differences were observed in network global efficiency. These results are discussed in relation to recently developed models of age-related differences in working memory.

Smoking cessation and its predictors: results from a community-based pharmacy tobacco cessation program in New Mexico.

PubMed

Khan, Nasreen; Anderson, Joe R; Du, Juan; Tinker, Dale; Bachyrycz, Amy M; Namdar, Rocsanna

2012-09-01

The New Mexico Pharmaceutical Care Foundation received funding through the Tobacco Use Prevention and Control Program (TUPAC) to provide support for pharmacist-delivered tobacco cessation services. The goal of the program was to increase the availability of tobacco cessation services to residents of New Mexico. Program outcomes are presented, using data from the first 2 fiscal years. To assess tobacco quit rates among smokers who participated in the community pharmacist-based program and identify the predictors of quitting at the end of a 6-month program. Pharmacists, who had received Rx for Change training, provided tobacco cessation services. Patients were scheduled for an initial visit and then were seen at regularly scheduled follow-up visits at 1 month, 3 months, and 6 months from the initial visit. Data collected at the initial visit included demographics, smoking history, and readiness for quitting. Smoking status was collected at each of the follow-up visits. Data were analyzed using SAS (SAS Institute) and STATA (StataCorp LP) statistical software. Tobacco quit rates were calculated at 1, 3, and 6 months. Multivariate regression analysis was performed to assess predictors of quitting. Standard errors were adjusted for repeated observation. Data were available for 346 participants. The average quit rate at the end of 6 months was 25%. Significant predictors of quitting were high confidence levels in quitting at baseline, individuals who had first cigarettes at least 30 minutes after waking up, first cessation attempt, and nonwhite patients. A smoking cessation program delivered through trained community pharmacists with prescriptive authority is an effective approach to reducing smoking. Further research should be conducted to compare the effectiveness of pharmacists with that of other providers of tobacco cessation services.

Predicting Efficiency of Travel in Young, Visually Impaired Children from Their Other Spatial Skills.

ERIC Educational Resources Information Center

Hill, Anita; And Others

1985-01-01

To test ways of predicting how efficiently visually impaired children learn travel skills, a criteria checklist of spatial skills was developed for close-body space, local space, and geographical/travel space. Comparison was made between predictors of efficient learning including subjective ratings of teachers, personal qualities and factors of…

Numerical Roll Reversal Predictor Corrector Aerocapture and Precision Landing Guidance Algorithms for the Mars Surveyor Program 2001 Missions

NASA Technical Reports Server (NTRS)

Powell, Richard W.

1998-01-01

This paper describes the development and evaluation of a numerical roll reversal predictor-corrector guidance algorithm for the atmospheric flight portion of the Mars Surveyor Program 2001 Orbiter and Lander missions. The Lander mission utilizes direct entry and has a demanding requirement to deploy its parachute within 10 km of the target deployment point. The Orbiter mission utilizes aerocapture to achieve a precise captured orbit with a single atmospheric pass. Detailed descriptions of these predictor-corrector algorithms are given. Also, results of three and six degree-of-freedom Monte Carlo simulations which include navigation, aerodynamics, mass properties and atmospheric density uncertainties are presented.

Predictors of mother-child interaction quality and child attachment security in at-risk families.

PubMed

De Falco, Simona; Emer, Alessandra; Martini, Laura; Rigo, Paola; Pruner, Sonia; Venuti, Paola

2014-01-01

Child healthy development is largely influenced by parent-child interaction and a secure parent-child attachment is predictively associated with positive outcomes in numerous domains of child development. However, the parent-child relationship can be affected by several psychosocial and socio-demographic risk factors that undermine its quality and in turn play a negative role in short and long term child psychological health. Prevention and intervention programs that support parenting skills in at-risk families can efficiently reduce the impact of risk factors on mother and child psychological health. This study examines predictors of mother-child interaction quality and child attachment security in a sample of first-time mothers with psychosocial and/or socio-demographic risk factors. Forty primiparous women satisfying specific risk criteria participated in a longitudinal study with their children from pregnancy until 18 month of child age. A multiple psychological and socioeconomic assessment was performed. The Emotional Availability Scales were used to measure the quality of emotional exchanges between mother and child at 12 months and the Attachment Q-Sort served as a measure of child attachment security at 18 months. Results highlight both the effect of specific single factors, considered at a continuous level, and the cumulative risk effect of different co-occurring factors, considered at binary level, on mother-child interaction quality and child attachment security. Implication for the selection of inclusion criteria of intervention programs that support parenting skills in at-risk families are discussed.

Predictors of laparoscopic simulation performance among practicing obstetrician gynecologists.

PubMed

Mathews, Shyama; Brodman, Michael; D'Angelo, Debra; Chudnoff, Scott; McGovern, Peter; Kolev, Tamara; Bensinger, Giti; Mudiraj, Santosh; Nemes, Andreea; Feldman, David; Kischak, Patricia; Ascher-Walsh, Charles

2017-11-01

While simulation training has been established as an effective method for improving laparoscopic surgical performance in surgical residents, few studies have focused on its use for attending surgeons, particularly in obstetrics and gynecology. Surgical simulation may have a role in improving and maintaining proficiency in the operating room for practicing obstetrician gynecologists. We sought to determine if parameters of performance for validated laparoscopic virtual simulation tasks correlate with surgical volume and characteristics of practicing obstetricians and gynecologists. All gynecologists with laparoscopic privileges (n = 347) from 5 academic medical centers in New York City were required to complete a laparoscopic surgery simulation assessment. The physicians took a presimulation survey gathering physician self-reported characteristics and then performed 3 basic skills tasks (enforced peg transfer, lifting/grasping, and cutting) on the LapSim virtual reality laparoscopic simulator (Surgical Science Ltd, Gothenburg, Sweden). The association between simulation outcome scores (time, efficiency, and errors) and self-rated clinical skills measures (self-rated laparoscopic skill score or surgical volume category) were examined with regression models. The average number of laparoscopic procedures per month was a significant predictor of total time on all 3 tasks (P = .001 for peg transfer; P = .041 for lifting and grasping; P < .001 for cutting). Average monthly laparoscopic surgical volume was a significant predictor of 2 efficiency scores in peg transfer, and all 4 efficiency scores in cutting (P = .001 to P = .015). Surgical volume was a significant predictor of errors in lifting/grasping and cutting (P < .001 for both). Self-rated laparoscopic skill level was a significant predictor of total time in all 3 tasks (P < .0001 for peg transfer; P = .009 for lifting and grasping; P < .001 for cutting) and a significant predictor of nearly all efficiency scores and errors scores in all 3 tasks. In addition to total time, there was at least 1 other objective performance measure that significantly correlated with surgical volume for each of the 3 tasks. Higher-volume physicians and those with fellowship training were more confident in their laparoscopic skills. By determining simulation performance as it correlates to active physician practice, further studies may help assess skill and individualize training to maintain skill levels as case volumes fluctuate. Copyright © 2017 Elsevier Inc. All rights reserved.

An interprofessional palliative care oncology rehabilitation program: effects on function and predictors of program completion.

PubMed

Chasen, M R; Feldstain, A; Gravelle, D; Macdonald, N; Pereira, J

2013-12-01

After treatment, patients with active cancer face a considerable burden from the effects of both the disease and its treatment. The Palliative Rehabilitation Program (prp) is designed to ameliorate disease effects and to improve the patient's functioning. The present study evaluated predictors of program completion and changes in functioning, symptoms, and well-being after the program. The program received referrals for 173 patients who had finished anticancer therapy. Of those 173 patients, 116 with advanced cancer were eligible and enrolled in the 8-week interprofessional prp; 67 completed it. Measures of physical, nutritional, social, and psychological functioning were evaluated at entry to the program and at completion. Participants experienced significant improvements in physical performance (p < 0.000), nutrition (p = 0.001), symptom severity (p = 0.005 to 0.001), symptom interference with functioning (p = 0.003 to 0.001), fatigue (p = 0.001), and physical endurance, mobility, and balance or function (p = 0.001 to 0.001). Reasons that participants did not complete the prp were disease progression, geographic inaccessibility, being too well (program not challenging enough), death, and personal or unknown reasons. A normal level of C-reactive protein (<10 mg/L, p = 0.029) was a predictor of program completion. Patients living with advanced cancers who underwent the interprofessional prp experienced significant improvement in functioning across several domains. Program completion can be predicted by a normal level of C-reactive protein.

Sexual Behavior Among Young Carers in the Context of a Kenyan Empowerment Program Combining Cash-Transfer, Psychosocial Support, and Entrepreneurship.

PubMed

Goodman, Michael L; Selwyn, Beatrice J; Morgan, Robert O; Lloyd, Linda E; Mwongera, Moses; Gitari, Stanley; Keiser, Philip H

2016-01-01

This study examined associations between sexual initiation, unprotected sex, and having multiple sex partners in the past year with participation in a three-year empowerment program targeting orphan and vulnerable children (OVC). The Kenya-based program combines community-conditioned cash transfer, psychosocial empowerment, health education, and microenterprise development. Program participants (n = 1,060) were interviewed in a cross-sectional design. Analyses used gender-stratified hierarchical logit models to assess program participation and other potential predictors. Significant predictors of increased female sexual activity included less program exposure, higher age, younger age at most recent parental death, fewer years of schooling, higher food consumption, higher psychological resilience, and lower general self-efficacy. Significant predictors of increased male sexual activity included more program exposure, higher age, better food consumption, not having a living father, and literacy. Findings support a nuanced view of current cash transfer programs, where female sexual activity may be reduced through improved financial status but male sexual activity may increase. Targeting of OVC sexual risk behaviors would likely benefit from being tailored according to associations found in this study. Data suggest involving fathers in sexual education, targeting women who lost a parent at a younger age, and providing social support for female OVC may decrease risk of human immunodeficiency virus (HIV) transmission.

Predictors of success for Saudi Arabian students enrolled in an accelerated baccalaureate degree program in nursing in the United States.

PubMed

Carty, Rita M; Moss, Margaret M; Al-Zayyer, Wael; Kowitlawakul, Yanika; Arietti, Lesley

2007-01-01

In the mid 1980s, a professional nursing education program was initiated between the Kingdom of Saudi Arabia and the United States. Based on a perceived and documented need, a collaborative education and research program was established with George Mason University in Fairfax, Virginia, to begin building a community of new scholars to assist in the advancement of professional nursing in the Kingdom of Saudi Arabia. Four cohorts of Saudi citizens from three institutions (King Faisal Specialist Hospital and Research Center, Saudi Arabia National Guard Hospital, and Ministry of Aviation and Defense Hospital), who held a degree in science or a related field, were enrolled in an accelerated baccalaureate program leading to a bachelor of science in nursing degree. This project was funded by Saudi Arabian sources. A descriptive research study was conducted to identify predictors of success in the program. Results indicated a rate of program completion that was higher than expected. Some of the first graduates went on for a doctor of philosophy degree, but not all enrolled completed the program. Many countries around the world are seeking ways to upgrade and increase the supply of qualified nurses within their own borders. This study identified those factors that were predictors of success for Saudi Arabian students who completed a baccalaureate degree in nursing program in the United States.

Counselor-Level Predictors of Sustained Use of an Indicated Preventive Intervention for Aggressive Children.

PubMed

Lochman, John E; Powell, Nicole P; Boxmeyer, Caroline L; Qu, Lixin; Sallee, Meghann; Wells, Karen C; Windle, Michael

2015-11-01

Despite widespread concern about the frequent failure of trained prevention staff to continue to use evidence-based programs following periods of intensive training, little research has addressed the characteristics and experiences of counselors that might predict their sustained use of a program. The current study follows a sample of school counselors who were trained to use an indicated preventive intervention, the Coping Power program, in an earlier dissemination study, and determines their levels of continued use of the program's child and parent components in the 2 years following the counselors' intensive training in the program. Counselor characteristics and experiences were also examined as predictors of their sustained use of the program components. The Coping Power program addresses children's emotional regulation, social cognitive processes, and increases in positive interpersonal behaviors with at-risk children who have been screened to have moderate to high levels of aggressive behavior. The results indicated that counselors' perceptions of interpersonal support from teachers within their schools, their perceptions of the effectiveness of the program, and their expectations for using the program were all predictive of program use over the following 2 years. In addition, certain counselor personality characteristics (i.e., conscientiousness) and the level of actual teacher-rated behavior change experienced by the children they worked with during training were predictors of counselors' use of the program during the second year after training. These results indicate the central importance of teacher support and of child progress during training in the prediction of counselors' sustained use of a prevention program.

Impact of a health education program for secondary school Saudi girls about menstruation at Riyadh city.

PubMed

Fetohy, Ebtisam M

2007-01-01

An experimental study was conducted to assess the impact and suitability of menstrual education program (MEP) for 1st and 2nd graders at a girls' secondary school in Riyadh city. The MEP was conducted on 5 classes, through one session and one assessment. The results revealed that the mean scores of knowledge, attitude and practice of the intervention classes (1st and 2nd graders) were significantly higher than that of the control classes. Stepwise linear regression models show that the age of menarche and grade were the predictors of students' knowledge among the control group and explained 7.8% of the variation of the knowledge score. Knowledge was a predictor of students' attitude of both groups (control and intervention) (beta = 0.359, 0.300 respectively). Knowledge was also a predictor of students' menstrual practice among control group (beta = -2.12). Attitude was a predictor of students' menstrual practice for both groups (beta = 0.360, 0.252 respectively). The study recommended the replication of the same program among elementary, preparatory, and other secondary schools for improvement of students' menstrual knowledge, attitudes and practice.

Positive impact of the participation in the ENCHANTED trial in reducing Door-to-Needle Time.

PubMed

Yang, Jie; Wang, Xia; Yu, Jian Ping; Hang, Jing; Lavados, Pablo; Robinson, Thompson; Arima, Hisatomi; Lindley, Richard I; Anderson, Craig S; Chalmers, John

2017-10-26

Door-to-needle time (DNT) is a key performance indicator for efficient use of intravenous thrombolysis in acute ischemic stroke (AIS). We aimed to determine whether DNT improved over time in the Enhanced Control of Hypertension and Acute Stroke Study (ENCHANTED) and the clinical predictors of DNT. Temporal trends in DNT were assessed across fourths of time since activation of study centers using generalized linear model. Predictors of long DNT (>60 min) were determined in logistic regression models. Overall mean DNT (min) was 71.8 (95% confidence interval [CI] 70.4-73.2), but decreased significantly over time (fourths): 77.9 (74.9-80.9), 69.3 (66.7-72.0), 69.1 (66.5-71.8) and 71.4 (68.7-74.2) (P for trend, 0.003). The reduction in DNT was particularly marked in China (P for trend, 0.001), but was not significant across the other participating countries (P for trend, 0.065). Independent predictors of long DNT were recruitment from China, short onset-to-door time, lower numbers of patients treated per center, higher diastolic blood pressure, off-hour admission, and absence of proximal clot occlusion. DNT in ENCHANTED declined progressively during the trial, especially in China. However, DNT in China is still longer than the key performance parameter of ≤60 minutes recommended in guidelines. Effective national programs are needed to improve DNT in China.

Student Admission Criteria as Predictors of Research Potential.

ERIC Educational Resources Information Center

Cotton, Gary L.; And Others

1986-01-01

A study at one university found that traditional admission criteria for a graduate microbiology program, undergraduate grade point average, and Graduate Record Examination scores, were not good predictors of student potential as a researcher, as measured by faculty ratings. (MSE)

Learning Efficiency versus Low IQ and/or Teachers' Ratings as Predictors of Reading Ability of "Mentally Defective" Children: A Longitudinal Study.

ERIC Educational Resources Information Center

Gupta, R. M.

1985-01-01

Low IQ should not be deemed as an index of poor learning ability. Information about middle school children's learning efficiency as measured by the Learning Efficiency Test Battery was found to be more useful for predicting reading ability than conventional types of assessment. (Author/RM)

Impact of an electronic medication administration record on medication administration efficiency and errors.

PubMed

McComas, Jeffery; Riingen, Michelle; Chae Kim, Son

2014-12-01

The study aims were to evaluate the impact of electronic medication administration record implementation on medication administration efficiency and occurrence of medication errors as well as to identify the predictors of medication administration efficiency in an acute care setting. A prospective, observational study utilizing time-and-motion technique was conducted before and after electronic medication administration record implementation in November 2011. A total of 156 cases of medication administration activities (78 pre- and 78 post-electronic medication administration record) involving 38 nurses were observed at the point of care. A separate retrospective review of the hospital Midas+ medication error database was also performed to collect the rates and origin of medication errors for 6 months before and after electronic medication administration record implementation. The mean medication administration time actually increased from 11.3 to 14.4 minutes post-electronic medication administration record (P = .039). In a multivariate analysis, electronic medication administration record was not a predictor of medication administration time, but the distractions/interruptions during medication administration process were significant predictors. The mean hospital-wide medication errors significantly decreased from 11.0 to 5.3 events per month post-electronic medication administration record (P = .034). Although no improvement in medication administration efficiency was observed, electronic medication administration record improved the quality of care with a significant decrease in medication errors.

Cross-Validation of Predictor Equations for Armor Crewman Performance

DTIC Science & Technology

1980-01-01

Technical Report 447 CROSS-VALIDATION OF PREDICTOR EQUATIONS FOR ARMOR CREWMAN PERFORMANCE Anthony J. Maitland , Newell K. Eaton, and Janet F. Neft...ORG. REPORT NUMBER Anthony J/ Maitland . Newell K/EatorV. and B OTATO RN UBR. 9- PERFORMING ORGANIZATION NAME AND ADDRESS I0. PROGRAM ELEMENT, PROJECT...Technical Report 447 CROSS-VALIDATION OF PREDICTOR EQUATIONS FOR ARMOR CREWMAN PERFORMANCE Anthony J. Maitland , Newell K. Eaton, Accession For and

Predictors of weight loss in Mexican American adolescents

USDA-ARS?s Scientific Manuscript database

This study examined predictors of weight change in Mexican American adolescents. Eighty overweight Mexican American children were randomized to receive either the intensive intervention or self help program. Physiological (e.g. standardized BMI (zBMI), percent body fat, and tanner stage), psychologi...

A Validity Study on Predictors of Success in Resident Master’s Degree Programs at the Air Force Institute of Technology.

DTIC Science & Technology

1987-09-01

test used primarily by management and business schools . The Educational Testing Service (ETS), which administers the tests, presents data supporting...2000 graduate students, he found that family background and a student’s confidence in his abilities were indeed related to success in law and business ... schools . -, ’~.Another study investigated the use of a number of predictor variables in predicting success in a graduate * psychology program. Using a

Clinical utility of the AlphaFIM® instrument in stroke rehabilitation.

PubMed

Lo, Alexander; Tahair, Nicola; Sharp, Shelley; Bayley, Mark T

2012-02-01

The AlphaFIM instrument is an assessment tool designed to facilitate discharge planning of stroke patients from acute care, by extrapolating overall functional status from performance in six key Functional Independence Measure (FIM) instrument items. To determine whether acute care AlphaFIM rating is correlated to stroke rehabilitation outcomes. In this prospective observational study, data were analyzed from 891 patients referred for inpatient stroke rehabilitation through an Internet-based referral system. Simple linear and stepwise regression models determined correlations between rehabilitation-ready AlphaFIM rating and rehabilitation outcomes (admission and discharge FIM ratings, FIM gain, FIM efficiency, and length of stay). Covariates including demographic data, stroke characteristics, medical history, cognitive deficits, and activity tolerance were included in the stepwise regressions. The AlphaFIM instrument was significant in predicting admission and discharge FIM ratings at rehabilitation (adjusted R² 0.40 and 0.28, respectively; P < 0.0001) and was weakly correlated with FIM gain and length of stay (adjusted R² 0.04 and 0.09, respectively; P < 0.0001), but not FIM efficiency. AlphaFIM rating was inversely related to FIM gain. Age, bowel incontinence, left hemiparesis, and previous infarcts were negative predictors of discharge FIM rating on stepwise regression. Intact executive function and physical activity tolerance of 30 to 60 mins were predictors of FIM gain. The AlphaFIM instrument is a valuable tool for triaging stroke patients from acute care to rehabilitation and predicts functional status at discharge from rehabilitation. Patients with low AlphaFIM ratings have the potential to make significant functional gains and should not be denied admission to inpatient rehabilitation programs.

New graduate nurse transition programs and clinical leadership skills in novice RNs.

PubMed

Chappell, Kathy B; Richards, Kathy C; Barnett, Scott D

2014-12-01

The objective of this study was to determine predictors of clinical leadership skill (CLS) for RNs with 24 months of clinical experience or less. New graduate nurse transition programs (NGNTPs) have been proposed as a strategy to increase CLS. CLS is associated with positive patient outcomes. Method used was hierarchical regression modeling to evaluate predictors of CLS among individual characteristics of RNs and characteristics of NGNTPs. Perceived overall quality of an NGNTP was the strongest predictor of CLS (R = 0.041, P < .01). Clinical experience and NGNTP characteristics accounted for 6.9% of the variance in CLS and 12.6% of the variance among RNs with assigned mentors (P < .01). RNs participating in NGNTPs for more than 24 weeks were 21 times more likely to remain employed within the organization when compared with NGNTPs of 12 weeks or less, a significant cost-benefit to the organization. Although perceived overall quality of a NGNTP was the strongest predictor of CLS, much of the variance in CLS remains unexplained.

Predictors of dropout in the German disease management program for type 2 diabetes.

PubMed

Fullerton, Birgit; Erler, Antje; Pöhlmann, Boris; Gerlach, Ferdinand M

2012-01-10

To improve and assess the effectiveness of disease management programs (DMPs), it is critical to understand how many people drop out of disease management programs and why. We used routine data provided by a statutory health insurance fund from the regions North Rhine, North Wurttemberg and Hesse. As part of the German DMP for type 2 diabetes, the insurance fund received regular documentation of all members participating in the program. We followed 10,989 patients who enrolled in the DMP between July 2004 and December 2005 until the end of 2007 to study how many patients dropped out of the program. Dropout was defined based on the discontinuation of program documentation on a particular patient, excluding situations in which the patient died or left the insurance fund. Predictors of dropout, assessed at the time of program enrolment, were explored using logistic regression analysis. 5.5% of the patients dropped out of the disease management program within the observation period. Predictors of dropout at the time of enrolment were: region; retirement status; the number of secondary diseases; presence of a disabling secondary disease; doctor's recommendations to stop smoking or to seek nutritional counselling; and the completion and outcome of the routine foot and eye exams. Different trends of dropout were observed among retired and employed patients: retired patients of old age, who possibly drop out of the program due to other health care priorities and employed people of younger age who have not yet developed many secondary diseases, but were recommended to change their lifestyle. Overall, dropout rates for the German disease management programs for type 2 diabetes were low compared to other studies. Factors assessed at the time of program enrolment were predictive of later dropout and should be further studied to provide information for future program improvements.

Predictor-Based Model Reference Adaptive Control

NASA Technical Reports Server (NTRS)

Lavretsky, Eugene; Gadient, Ross; Gregory, Irene M.

2009-01-01

This paper is devoted to robust, Predictor-based Model Reference Adaptive Control (PMRAC) design. The proposed adaptive system is compared with the now-classical Model Reference Adaptive Control (MRAC) architecture. Simulation examples are presented. Numerical evidence indicates that the proposed PMRAC tracking architecture has better than MRAC transient characteristics. In this paper, we presented a state-predictor based direct adaptive tracking design methodology for multi-input dynamical systems, with partially known dynamics. Efficiency of the design was demonstrated using short period dynamics of an aircraft. Formal proof of the reported PMRAC benefits constitute future research and will be reported elsewhere.

A Data-Driven Approach to Develop Physically Sound Predictors: Application to Depth-Averaged Velocities and Drag Coefficients on Vegetated Flows

NASA Astrophysics Data System (ADS)

Tinoco, R. O.; Goldstein, E. B.; Coco, G.

2016-12-01

We use a machine learning approach to seek accurate, physically sound predictors, to estimate two relevant flow parameters for open-channel vegetated flows: mean velocities and drag coefficients. A genetic programming algorithm is used to find a robust relationship between properties of the vegetation and flow parameters. We use data published from several laboratory experiments covering a broad range of conditions to obtain: a) in the case of mean flow, an equation that matches the accuracy of other predictors from recent literature while showing a less complex structure, and b) for drag coefficients, a predictor that relies on both single element and array parameters. We investigate different criteria for dataset size and data selection to evaluate their impact on the resulting predictor, as well as simple strategies to obtain only dimensionally consistent equations, and avoid the need for dimensional coefficients. The results show that a proper methodology can deliver physically sound models representative of the processes involved, such that genetic programming and machine learning techniques can be used as powerful tools to study complicated phenomena and develop not only purely empirical, but "hybrid" models, coupling results from machine learning methodologies into physics-based models.

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.

PubMed

Yu, Nancy Y; Wagner, James R; Laird, Matthew R; Melli, Gabor; Rey, Sébastien; Lo, Raymond; Dao, Phuong; Sahinalp, S Cenk; Ester, Martin; Foster, Leonard J; Brinkman, Fiona S L

2010-07-01

PSORTb has remained the most precise bacterial protein subcellular localization (SCL) predictor since it was first made available in 2003. However, the recall needs to be improved and no accurate SCL predictors yet make predictions for archaea, nor differentiate important localization subcategories, such as proteins targeted to a host cell or bacterial hyperstructures/organelles. Such improvements should preferably be encompassed in a freely available web-based predictor that can also be used as a standalone program. We developed PSORTb version 3.0 with improved recall, higher proteome-scale prediction coverage, and new refined localization subcategories. It is the first SCL predictor specifically geared for all prokaryotes, including archaea and bacteria with atypical membrane/cell wall topologies. It features an improved standalone program, with a new batch results delivery system complementing its web interface. We evaluated the most accurate SCL predictors using 5-fold cross validation plus we performed an independent proteomics analysis, showing that PSORTb 3.0 is the most accurate but can benefit from being complemented by Proteome Analyst predictions. http://www.psort.org/psortb (download open source software or use the web interface). psort-mail@sfu.ca Supplementary data are available at Bioinformatics online.

Examining an Executive Function Rating Scale as a Predictor of Achievement in Children at Risk for Behavior Problems

ERIC Educational Resources Information Center

Sadeh, Shanna S.; Burns, Matthew K.; Sullivan, Amanda L.

2012-01-01

Evidence suggests that executive function (EF) may be a potent and malleable predictor of academic achievement in children. Schools may be able to use this predictive power if researchers develop EF measures that not only have ecological and construct validity, but also are also efficient and affordable. To this end, Garcia-Barrera and colleagues…

Evaluation of the reach and impact of the 100% Jeune youth social marketing program in Cameroon: findings from three cross-sectional surveys.

PubMed

Plautz, Andrea; Meekers, Dominique

2007-02-26

The 100% Jeune youth social marketing program in Cameroon aims to address the high STI/HIV prevalence rates and the high levels of unwanted pregnancy. This study evaluates the 100% Jeune program, analyzing its reach and impact on condom use, level of sexual activity, and predictors of condom use. This analysis uses data from three waves of the Cameroon Adolescent Reproductive Health Survey, implemented at 18-month intervals between 2000 and 2003. The sample is restricted to unmarried youth aged 15-24; sample sizes are 1,956 youth in 2000, 3,237 in 2002, and 3,370 in 2003. Logistic regression analyses determine trends in reproductive health behavior and their predictors, as well as estimate the effect of program exposure on these variables. All regression analyses control for differences in sample characteristics. A comparison of trends over the 36-month study period shows that substantial positive changes occurred among youth. Results of dose response analyses indicate that some of these positive changes in condom use and predictors of use can be attributed to the 100% Jeune youth social marketing program. The program contributed to substantial increases in condom use, including consistent use with regular partners among youth of both sexes. Among males, it also contributed to consistent use with casual partners. While condom use increased with both regular and casual partners, levels of use are higher with the latter. Observed secular trends indicate that factors besides the 100% Jeune program also contributed to the observed improvements. Despite efforts to promote abstinence, the 100% Jeune program had no effect on levels of sexual activity or number of sexual partners. Likewise, there is no evidence that reproductive health programs for youth lead to increased sexual activity. Results show that 100% Jeune successfully used a variety of mass media and interpersonal communication channels to reach a high proportion of youth throughout the intervention period. In a context in which a variety of governmental and nongovernmental partners are increasing youth-focused reproductive health programming, the 100% Jeune program reached a higher proportion of youth than did other programs. Collective efforts of multiple organizations over time can lead to improvements in adolescent reproductive health. Resources should be allocated to identify and understand predictors of abstinence and partner reduction to inform future programming decisions.

Evaluation of the reach and impact of the 100% Jeune youth social marketing program in Cameroon: findings from three cross-sectional surveys

PubMed Central

Plautz, Andrea; Meekers, Dominique

2007-01-01

Background The 100% Jeune youth social marketing program in Cameroon aims to address the high STI/HIV prevalence rates and the high levels of unwanted pregnancy. This study evaluates the 100% Jeune program, analyzing its reach and impact on condom use, level of sexual activity, and predictors of condom use. Methods This analysis uses data from three waves of the Cameroon Adolescent Reproductive Health Survey, implemented at 18-month intervals between 2000 and 2003. The sample is restricted to unmarried youth aged 15–24; sample sizes are 1,956 youth in 2000, 3,237 in 2002, and 3,370 in 2003. Logistic regression analyses determine trends in reproductive health behavior and their predictors, as well as estimate the effect of program exposure on these variables. All regression analyses control for differences in sample characteristics. Results A comparison of trends over the 36-month study period shows that substantial positive changes occurred among youth. Results of dose response analyses indicate that some of these positive changes in condom use and predictors of use can be attributed to the 100% Jeune youth social marketing program. The program contributed to substantial increases in condom use, including consistent use with regular partners among youth of both sexes. Among males, it also contributed to consistent use with casual partners. While condom use increased with both regular and casual partners, levels of use are higher with the latter. Observed secular trends indicate that factors besides the 100% Jeune program also contributed to the observed improvements. Despite efforts to promote abstinence, the 100% Jeune program had no effect on levels of sexual activity or number of sexual partners. Likewise, there is no evidence that reproductive health programs for youth lead to increased sexual activity. Conclusion Results show that 100% Jeune successfully used a variety of mass media and interpersonal communication channels to reach a high proportion of youth throughout the intervention period. In a context in which a variety of governmental and nongovernmental partners are increasing youth-focused reproductive health programming, the 100% Jeune program reached a higher proportion of youth than did other programs. Collective efforts of multiple organizations over time can lead to improvements in adolescent reproductive health. Resources should be allocated to identify and understand predictors of abstinence and partner reduction to inform future programming decisions. PMID:17324289

Improved diffusion Monte Carlo propagators for bosonic systems using Itô calculus

NASA Astrophysics Data System (ADS)

Hâkansson, P.; Mella, M.; Bressanini, Dario; Morosi, Gabriele; Patrone, Marta

2006-11-01

The construction of importance sampled diffusion Monte Carlo (DMC) schemes accurate to second order in the time step is discussed. A central aspect in obtaining efficient second order schemes is the numerical solution of the stochastic differential equation (SDE) associated with the Fokker-Plank equation responsible for the importance sampling procedure. In this work, stochastic predictor-corrector schemes solving the SDE and consistent with Itô calculus are used in DMC simulations of helium clusters. These schemes are numerically compared with alternative algorithms obtained by splitting the Fokker-Plank operator, an approach that we analyze using the analytical tools provided by Itô calculus. The numerical results show that predictor-corrector methods are indeed accurate to second order in the time step and that they present a smaller time step bias and a better efficiency than second order split-operator derived schemes when computing ensemble averages for bosonic systems. The possible extension of the predictor-corrector methods to higher orders is also discussed.

Observations on using inside air concentrations as a predictor of outside air concentrations

DOE PAGES

Hawkley, Gavin; Whicker, Jeffrey; Harris, Jason

2015-04-01

Here, excavations of radiological material were performed within confined structures with known operational parameters, such as a filtered exhaust system with known filtration efficiency. Given the known efficiency, the assumption could be made that the air concentrations of radioactivity measured outside the structure would be proportional to the air concentrations measured inside the structure. To investigate this assumption, the inside concentration data was compared with the outside concentration data. The correlation of the data suggested that the inside concentrations were not a good predictor of the outside concentrations. This poor correlation was deemed to be a result of operational unknownsmore » within the structures.« less

Predictors of surgeons' efficiency in the operating rooms.

PubMed

Nakata, Yoshinori; Watanabe, Yuichi; Narimatsu, Hiroto; Yoshimura, Tatsuya; Otake, Hiroshi; Sawa, Tomohiro

2017-02-01

The sustainability of the Japanese healthcare system is questionable because of a huge fiscal debt. One of the solutions is to improve the efficiency of healthcare. The purpose of this study is to determine what factors are predictive of surgeons' efficiency scores. The authors collected data from all the surgical procedures performed at Teikyo University Hospital from April 1 through September 30 in 2013-2015. Output-oriented Charnes-Cooper-Rhodes model of data envelopment analysis was employed to calculate each surgeon's efficiency score. Seven independent variables that may predict their efficiency scores were selected: experience, medical school, surgical volume, gender, academic rank, surgical specialty, and the surgical fee schedule. Multiple regression analysis using random-effects Tobit model was used for our panel data. The data from total 8722 surgical cases were obtained in 18-month study period. The authors analyzed 134 surgeons. The only statistically significant coefficients were surgical specialty and surgical fee schedule (p = 0.000 and p = 0.016, respectively). Experience had some positive association with efficiency scores but did not reach statistical significance (p = 0.062). The other coefficients were not statistically significant. These results demonstrated that the surgical reimbursement system, not surgeons' personal characteristics, is a significant predictor of surgeons' efficiency.

An Attempt at Quantifying Factors that Affect Efficiency in the Management of Solid Waste Produced by Commercial Businesses in the City of Tshwane, South Africa

PubMed Central

Worku, Yohannes; Muchie, Mammo

2012-01-01

Objective. The objective was to investigate factors that affect the efficient management of solid waste produced by commercial businesses operating in the city of Pretoria, South Africa. Methods. Data was gathered from 1,034 businesses. Efficiency in solid waste management was assessed by using a structural time-based model designed for evaluating efficiency as a function of the length of time required to manage waste. Data analysis was performed using statistical procedures such as frequency tables, Pearson's chi-square tests of association, and binary logistic regression analysis. Odds ratios estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results. The study showed that 857 of the 1,034 businesses selected for the study (83%) were found to be efficient enough with regards to the proper collection and disposal of solid waste. Based on odds ratios estimated from binary logistic regression analysis, efficiency in the proper management of solid waste was significantly influenced by 4 predictor variables. These 4 influential predictor variables are lack of adherence to waste management regulations, wrong perception, failure to provide customers with enough trash cans, and operation of businesses by employed managers, in a decreasing order of importance. PMID:23209483

Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study.

PubMed

De Miguel-Etayo, P; Muro, C; Santabárbara, J; López-Antón, R; Morandé, G; Martín-Matillas, M; Azcona-San Julián, M C; Martí, A; Campoy, C; Marcos, A; Moreno, L A; Garagorri, J M

2016-01-01

The aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. Overweight/obese adolescents (n=156, aged: 13-16 years; 71 male and 85 female subjects) were included in a multicomponent (diet, physical activity and psychological support) family-based group treatment program. At baseline and after 2 months (intensive phase) and 13 months (extensive phase) of follow-up, we measured adolescents' cognitive and behavioral dimensions, together with the parents' perception of their child's behavior. Of the 156 adolescents selected, 112 completed the full program (drop-out rate of 28.2%). The risk of dropping out during the extensive phase increased by 20% for each unit increase in the adolescent's social insecurity score (odds ratio=1.20, 95% confidence interval=1.07-1.34, P=0.002). The adolescents who had a high interoceptive awareness showed a significant decrease of 13.0% in the probability of dropping out (odds ratio=0.87, 95% confidence interval=0.77-0.99, P=0.040). Adolescents' social insecurity was the main predictor of drop-out in a multicomponent family-group-based obesity treatment program. To reduce attrition rates in these programs, the individual's social insecurity level needs to be reduced, whereas the family's awareness of eating-related behavior needs adjustment.

Predictors of Burnout Among Nurses in Taiwan.

PubMed

Lee, Huan-Fang; Yen, Miaofen; Fetzer, Susan; Chien, Tsair Wei

2015-08-01

Nurse burnout is a crucial issue for health care professionals and impacts nurse turnover and nursing shortages. Individual and situational factors are related to nurse burnout with predictors of burnout differing among cultures and health care systems. The predictors of nurse burnout in Asia, particularly Taiwan, are unknown. The purpose of this study was to investigate the predictors of burnout among a national sample of nurses in Taiwan. A secondary data analysis of a nationwide database investigated the predictors of burnout among 1,846 nurses in Taiwan. Hierarchical regression analysis determined the relationship between predictors and burnout. Predictors of Taiwanese nurse burnout were age, physical/psychological symptoms, job satisfaction, work engagement, and work environment. The most significant predictors were physical/psychological symptoms and work engagement. The variables explained 35, 39, and 18 % of the emotional exhaustion, personal accomplishment, and depersonalization variance for 54 % of the total variance of burnout. Individual characteristics and nurse self-awareness, especially work, engagement can impact Taiwanese nurses' burnout. Nurse burnout predictors provide administrators with information to develop strategies including education programs and support services to reduce nurse burnout.

[Efficiency of autogenous training in medical rehabilitation of patients with irritable colon syndrome with constipation dominance].

PubMed

Pakhomova, I V; Aĭvazian, T A; Zaĭtsev, V P; Gusakova, E V; Molina, L P

2008-01-01

It was established that use of autogenous training makes possible to increase efficiency of the therapy, leading to considerable more evident improvement of somatic and psychotic state, decrease of pain syndrome. Predictors of efficiency of autogenous training were marked out. Indications for use the method in medical rehabilitation of patients with irritable colon syndrome with constipation dominance were elaborated.

Predictors of Success of Black Americans in a College-Level Pre-Health Professions Program.

ERIC Educational Resources Information Center

Carmichael, J. W., Jr.

1986-01-01

Predictors of success for black freshmen entering Xavier University of Louisiana with an interest in the health professions were studied. Health professions were considered as the mainline fields of medicine, osteopathic medicine, dentistry, veterinary medicine, optometry, podiatry, and pharmacy. Students majoring in biology, chemistry, or…

Predictors of Psychology Graduate Student Interest in the Field of Developmental Disabilities

ERIC Educational Resources Information Center

Viecili, Michelle A.; MacMullin, Jennifer A.; Weiss, Jonathan A.; Lunsky, Yona

2010-01-01

This study examined predictors of interest in the future provision of clinical services to people with developmental disabilities by Canadian graduate students in psychology. Utilizing a cross-sectional survey, 458 psychology students from clinical, clinical neuropsychology, and counseling psychology programs from across Canada provided…

An Active Learning Approach to Teach Advanced Multi-Predictor Modeling Concepts to Clinicians

ERIC Educational Resources Information Center

Samsa, Gregory P.; Thomas, Laine; Lee, Linda S.; Neal, Edward M.

2012-01-01

Clinicians have characteristics--high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class--that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning based approach that shows particular promise for accommodating these…

Predictor Implementation School/District Self-Assessment

ERIC Educational Resources Information Center

National Post-School Outcomes Center, 2013

2013-01-01

The checklist provided here is intended to provide schools, districts, or other stakeholders in secondary transition with a framework for determining the degree to which their program is implementing practices that are likely to lead to more positive post-school outcomes for students with disabilities. The predictor categories listed have been…

Perspectives on Veterinary Medical Education: The Tuskegee Experience.

ERIC Educational Resources Information Center

Adams, E. W.; Habtemariam, T.

The extent to which Veterinary Aptitude Test (VAT) scores are valid predictors of veterinary student performance and the effect of a summer enrichment program were assessed for Tuskegee Institute and Auburn University students. In addition, attention was directed to predictors of specialty choices and patterns of specialty choices and employment…

Predictors of Computer Anxiety and Performance in Information Systems.

ERIC Educational Resources Information Center

Anderson, Alastair A.

1996-01-01

Reports on the results of a study of business undergraduates in Australia that was conducted to determine whether or not perceived knowledge of software, microcomputer experience, overall knowledge of computers, programming experience, and gender were predictors of computer anxiety. Use of the Computer Anxiety Rating Scale is discussed.…

Predictors of Rehabilitation Intervention Decisions in Adults with Acquired Hearing Impairment

ERIC Educational Resources Information Center

Laplante-Levesque, Ariane; Hickson, Louise; Worrall, Linda

2011-01-01

Purpose: This study investigated the predictors of rehabilitation intervention decisions in middle-age and older adults with acquired hearing impairment seeking help for the first time. Method: Using shared decision making, 139 participants were offered intervention options: hearing aids, communication programs (group or individual), and no…

A Study of Predictors of College Completion among SEEK Immigrant Students

ERIC Educational Resources Information Center

Nazon, Marie C.

2010-01-01

This study examined the strength of the relationship between eight situational and demographic variables and college completion among immigrant students in SEEK, an educational opportunity program. The eight variables studied as possible predictors of college completion included household composition, length of residency, English as a primary…

Predictors of Study Attrition in a Randomized Controlled Trial Evaluating a Perinatal Home-Visiting Program with Mothers with Psychosocial Vulnerabilities

PubMed Central

Foulon, Stéphanie; Greacen, Tim; Pasquet, Blandine; Dugravier, Romain; Saïas, Thomas; Guedeney, Nicole; Guedeney, Antoine; Tubach, Florence

2015-01-01

Objective Randomised controlled trials evaluating perinatal home-visiting programs are frequently confronted with the problem of high attrition rates. The aim of the present study is to identify predictors of study attrition in a trial evaluating a perinatal home-visiting program in France. Materials and Methods CAPEDP is a French randomized trial comparing a perinatal home-visiting program using psychologists versus usual care (N = 440). The first assessment was at inclusion into the trial at the 27th week of pregnancy and the final assessment when the child reached the age of two. Attrition rates were calculated at 3 and 24 months postpartum. Stepwise logistic regression was used to identify predictors of early (between inclusion and 3 months postpartum) and later (between 3 and 24 months postpartum) attrition among social, psychological and parenting factors. Results Attrition rates were 17% and 63% at 3 and 24 months respectively. At 24 months, there was significantly more attrition in the control arm (70.6%) compared to the intervention arm (55.2%). Five independent predictors of early attrition were identified: having already had an abortion; having greater attachment insecurity as measured with the Vulnerable Attachment Style Questionnaire (VASQ); having lower global severity of psychiatric symptoms as assessed with the Symptom Check-List (SCL-90) at inclusion, being neither currently employed nor studying; and declaring no tobacco consumption during pregnancy. Being randomized into the control arm, having undergone early parental loss before age 11 and having lower global severity of psychiatric symptoms (SCL-90) at 3 months postpartum were the only variables associated with later attrition. Conclusion This study provides key information for identifying mothers who may require specific support to avoid study attrition in trials evaluating a home-visiting program. PMID:26554839

Applying the health promotion model to development of a worksite intervention.

PubMed

Lusk, S L; Kerr, M J; Ronis, D L; Eakin, B L

1999-01-01

Consistent use of hearing protection devices (HPDs) decreases noise-induced hearing loss, however, many workers do not use them consistently. Past research has supported the need to use a conceptual framework to understand behaviors and guide intervention programs; however, few reports have specified a process to translate a conceptual model into an intervention. The strongest predictors from the Health Promotion Model were used to design a training program to increase HPD use among construction workers. Carpenters (n = 118), operating engineers (n = 109), and plumber/pipefitters (n = 129) in the Midwest were recruited to participate in the study. Written questionnaires including scales measuring the components of the Health Promotion Model were completed in classroom settings at worker trade group meetings. All items from scales predicting HPD use were reviewed to determine the basis for the content of a program to promote the use of HPDs. Three selection criteria were developed: (1) correlation with use of hearing protection (at least .20), (2) amenability to change, and (3) room for improvement (mean score not at ceiling). Linear regression and Pearson's correlation were used to assess the components of the model as predictors of HPD use. Five predictors had statistically significant regression coefficients: perceived noise exposure, self-efficacy, value of use, barriers to use, and modeling of use of hearing protection. Using items meeting the selection criteria, a 20-minute videotape with written handouts was developed as the core of an intervention. A clearly defined practice session was also incorporated in the training intervention. Determining salient factors for worker populations and specific protective equipment prior to designing an intervention is essential. These predictors provided the basis for a training program that addressed the specific needs of construction workers. Results of tests of the effectiveness of the program will be available in the near future.

Predicting Performance in Higher Education Using Proximal Predictors.

PubMed

Niessen, A Susan M; Meijer, Rob R; Tendeiro, Jorge N

2016-01-01

We studied the validity of two methods for predicting academic performance and student-program fit that were proximal to important study criteria. Applicants to an undergraduate psychology program participated in a selection procedure containing a trial-studying test based on a work sample approach, and specific skills tests in English and math. Test scores were used to predict academic achievement and progress after the first year, achievement in specific course types, enrollment, and dropout after the first year. All tests showed positive significant correlations with the criteria. The trial-studying test was consistently the best predictor in the admission procedure. We found no significant differences between the predictive validity of the trial-studying test and prior educational performance, and substantial shared explained variance between the two predictors. Only applicants with lower trial-studying scores were significantly less likely to enroll in the program. In conclusion, the trial-studying test yielded predictive validities similar to that of prior educational performance and possibly enabled self-selection. In admissions aimed at student-program fit, or in admissions in which past educational performance is difficult to use, a trial-studying test is a good instrument to predict academic performance.

Improving the Selection, Classification, and Utilization of Army Enlisted Personnel. Project A

DTIC Science & Technology

1987-06-01

performance measures, to determine whether the new predictors have incremental validity over and above the present system. These two components must be...critical aspect of this task is the demonstration of the incremental validity added by new predictors. Task 3. Measurement of School/Training Success...chances of incremental validity and classification efficiency. 3. Retain measures with adequate reliability. Using all accumulated information, the final

2006 Status of the Momentum eXchange Electrodynamic Re-Boost (MXER) Tether Development

NASA Technical Reports Server (NTRS)

Bonometti, Joseph A.; Sorensen, Kirk F.; Dankanich, John W.; Frame, Kyle L.

2006-01-01

The MXER Tether technology development is a high-payoff/high-risk investment area within the NASA In-Space Propulsion Technology (ISPT) Program. The ISPT program is managed by the NASA Headquarters Science Mission Directorate and implemented by the Marshall Space Flight Center in Huntsville, Alabama. The MXER concept was identified and competitively ranked within NASA's comprehensive Integrated In-Space Transportation Plan (IISTP); an agency-wide technology assessment activity. The objective of the MXER tether project within ISPT is to advance the technological maturation level for the MXER system, and its subsystems, as well as other space and terrestrial tether applications. Recent hardware efforts have focused on the manufacturability of space-survivable high-strength tether material and coatings, high-current electrodynamic tether, lightweight catch mechanism, high-accuracy propagator/predictor code, and efficient electron collection/current generation. Significant technical progress has been achieved with modest ISPT funding to the extent that MXER has evolved to a well-characterized system with greater capability as the design has been matured. Synergistic efforts in high-current electrodynamic tethers and efficient electron collection/current generation have been made possible through SBIR and STTR support. The entire development endeavor was orchestrated as a collaborative team effort across multiple individual contracts and has established a solid technology resource base, which permits a wide variety of future space cable/tether applications to be realized.

Towards an understanding of the multilevel factors associated with maternal health care utilization in Uttar Pradesh, India

PubMed Central

Sridharan, Sanjeev; Dey, Arnab; Seth, Aparna; Chandurkar, Dharmendra; Singh, Kultar; Hay, Katherine; Gibson, Rachael

2017-01-01

ABSTRACT Background: This paper explores the multilevel factors associated with maternal health utilization in India’s most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program. Objectives: This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes. Methods: The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization. Results: The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband’s schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband’s schooling (OR 1.49, 95% CI 1.26–1.76), having a bank account (OR 1.36, 95% CI 1.11–1.68), and owning a house (OR 2.28, 95% CI 1.85–2.80). Factors affecting antenatal care include the woman’s literacy (OR 1.49, 95% CI 1.28–1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10–1.77), and owning a house (OR 2.83, 95% CI 2.27–3.53). Home delivery tends to be associated with woman’s literacy (OR 0.62, 95% CI 0.54–0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26–1.73). Conclusions: Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions. PMID:28681668

Predictors of treatment use among foster mothers in an attachment-based intervention program.

PubMed

Bick, Johanna; Dozier, Mary; Moore, Shannon

2012-01-01

The current study examined predictors of treatment use among 56 foster mothers who participated in an attachment-based intervention program for foster infants. Foster mothers' levels of treatment use were coded at early, middle, and late phases of the intervention program. Foster mothers' states of mind with regard to attachment predicted their understanding of the intervention session concepts. Specifically, autonomous foster mothers showed higher levels of understanding at the start of the intervention program, when compared with non-autonomous foster mothers. State of mind with regard to attachment also predicted foster mothers' levels of reflective functioning during the intervention sessions. Autonomous foster mothers showed higher levels of reflective functioning at early, middle, and late stages of the intervention program, when compared with non-autonomous foster mothers. The relevance of these findings for both treatment effectiveness and treatment delivery is discussed.

Preadmission Predictors of On-time Graduation in a Doctor of Pharmacy Program.

PubMed

Allen, Rondall E; Diaz, Carroll; Gant, Kisha; Taylor, Ashley; Onor, Ifeanyi

2016-04-25

Objective. To determine which preadmission variables or combination of variables are able to predict on-time graduation in a doctor of pharmacy program. Methods. Transcripts and student files were reviewed for 460 students who entered the college between 2007 and 2009. Results. The preadmission variables with significant correlations to on-time graduation included having a prior degree, student type, the number of unsatisfactory grades (nonscience and math-science courses, and the combination), prepharmacy cumulative grade point average (GPA), and math-science GPA. Of these variables, the significant predictors of on-time graduation were prior degree, the presence of no unsatisfactory grades in nonscience courses, and prepharmacy cumulative GPA. Conclusion. Having a prior degree, lack of unsatisfactory grades in nonscience courses, and prepharmacy GPA were identified as significant predictors of on-time graduation.

Preadmission Predictors of On-time Graduation in a Doctor of Pharmacy Program

PubMed Central

Diaz, Carroll; Gant, Kisha; Taylor, Ashley; Onor, Ifeanyi

2016-01-01

Objective. To determine which preadmission variables or combination of variables are able to predict on-time graduation in a doctor of pharmacy program. Methods. Transcripts and student files were reviewed for 460 students who entered the college between 2007 and 2009. Results. The preadmission variables with significant correlations to on-time graduation included having a prior degree, student type, the number of unsatisfactory grades (nonscience and math-science courses, and the combination), prepharmacy cumulative grade point average (GPA), and math-science GPA. Of these variables, the significant predictors of on-time graduation were prior degree, the presence of no unsatisfactory grades in nonscience courses, and prepharmacy cumulative GPA. Conclusion. Having a prior degree, lack of unsatisfactory grades in nonscience courses, and prepharmacy GPA were identified as significant predictors of on-time graduation. PMID:27170814

Ecological momentary assessment in a behavioral drinking moderation training program.

PubMed

Collins, R L; Morsheimer, E T; Shiffman, S; Paty, J A; Gnys, M; Papandonatos, G D

1998-08-01

We assessed predictors of self-reported excessive drinking (> 5 drinks) in a sample of heavy drinkers. Participants were randomly assigned to moderation training or a waiting-list control condition. They were trained in ecological momentary assessment (EMA) involving self-monitoring of drinking and other variables on a small hand-held computer, the electronic diary (ED). During the 8-week study, participants were compliant in their use of the ED for both random prompts and the entry of data related to specific drinking episodes. Generalized estimating equations were used to fit models involving predictors related to past history of drinking, aspects of the training program, drinking restraint, and episode-specific mood. The models indicated robust predictors of decreased and increased drinking. Our results suggest that EMA is a useful methodology for assessing drinking and related behaviors.

Interrelationships between trait anxiety, situational stress and mental effort predict phonological processing efficiency, but not effectiveness.

PubMed

Edwards, Elizabeth J; Edwards, Mark S; Lyvers, Michael

2016-08-01

Attentional control theory (ACT) describes the mechanisms associated with the relationship between anxiety and cognitive performance. We investigated the relationship between cognitive trait anxiety, situational stress and mental effort on phonological performance using a simple (forward-) and complex (backward-) word span task. Ninety undergraduate students participated in the study. Predictor variables were cognitive trait anxiety, indexed using questionnaire scores; situational stress, manipulated using ego threat instructions; and perceived level of mental effort, measured using a visual analogue scale. Criterion variables (a) performance effectiveness (accuracy) and (b) processing efficiency (accuracy divided by response time) were analyzed in separate multiple moderated-regression analyses. The results revealed (a) no relationship between the predictors and performance effectiveness, and (b) a significant 3-way interaction on processing efficiency for both the simple and complex tasks, such that at higher effort, trait anxiety and situational stress did not predict processing efficiency, whereas at lower effort, higher trait anxiety was associated with lower efficiency at high situational stress, but not at low situational stress. Our results were in full support of the assumptions of ACT and implications for future research are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Contribution of case-mix classification to profiling hospital characteristics and productivity.

PubMed

Kuwabara, Kazuaki; Matsuda, Shinya; Fushimi, Kiyohide; Ishikawa, Koichi B; Horiguchi, Hiromasa; Hayashida, Kenshi; Fujimori, Kenji

2011-01-01

Case-mix classification has made it possible to analyze acute care delivery case volumes and resources. Data arising from observed differences have a role in planning health policy. Aggregated length of hospital stay (LOS) and total charges (TC) as measures of resource use were calculated from 34 case-mix groups at 469 hospitals (1,721,274 eligible patients). The difference between mean resource use of all hospitals and the mean resource use of each hospital was subdivided into three components: amount of variation attributable to hospital practice behavior (efficiency); amount attributable to hospital case-mix (complexity); and amount attributable to the interaction. Hospital characteristics were teaching status (academic or community), ownership, disease coverage, patients, and hospital volume. Multivariate analysis was employed to determine the impact of hospital characteristics on efficiency. Mean LOS and TC were greater for academic than community hospitals. Academic hospitals were least associated with LOS and TC efficiency. Low disease coverage was a predictor of TC efficiency while low patient volume was a predictor of unnecessarily long hospital stays. There was an inverse correlation between complexity and efficiency for both LOS and TC. Policy makers should acknowledge that differentiation of hospital function needs careful consideration when measuring efficiency. Copyright © 2010 John Wiley & Sons, Ltd.

ProQ3: Improved model quality assessments using Rosetta energy terms

PubMed Central

Uziela, Karolis; Shu, Nanjiang; Wallner, Björn; Elofsson, Arne

2016-01-01

Quality assessment of protein models using no other information than the structure of the model itself has been shown to be useful for structure prediction. Here, we introduce two novel methods, ProQRosFA and ProQRosCen, inspired by the state-of-art method ProQ2, but using a completely different description of a protein model. ProQ2 uses contacts and other features calculated from a model, while the new predictors are based on Rosetta energies: ProQRosFA uses the full-atom energy function that takes into account all atoms, while ProQRosCen uses the coarse-grained centroid energy function. The two new predictors also include residue conservation and terms corresponding to the agreement of a model with predicted secondary structure and surface area, as in ProQ2. We show that the performance of these predictors is on par with ProQ2 and significantly better than all other model quality assessment programs. Furthermore, we show that combining the input features from all three predictors, the resulting predictor ProQ3 performs better than any of the individual methods. ProQ3, ProQRosFA and ProQRosCen are freely available both as a webserver and stand-alone programs at http://proq3.bioinfo.se/. PMID:27698390

Predictors of Traditional and Cyber-Bullying Victimization: A Longitudinal Study of Australian Secondary School Students.

PubMed

Hemphill, Sheryl A; Tollit, Michelle; Kotevski, Aneta; Heerde, Jessica A

2015-09-01

The purpose of the present article is to compare the individual, peer, family, and school risk and protective factors for both traditional and cyber-bullying victimization. This article draws on data from 673 students from Victoria, Australia, to examine Grade 7 (aged 12-13 years) predictors of traditional and cyber-bullying victimization in Grade 9 (aged 14-15 years). Participants completed a modified version of the Communities That Care youth survey. There were few similarities and important differences in the predictors of traditional and cyber-bullying victimization. For Grade 9 cyber-bullying victimization, in the fully adjusted model, having been a victim of traditional bullying in Grade 7 and emotional control in Grade 7 were predictors. For Grade 9 traditional bullying victimization, predictors were Grade 7 traditional bullying victimization, association with antisocial peers, and family conflict, with family attachment and emotional control marginally statistically significant. The use of evidence-based bullying prevention programs is supported to reduce experiences of both traditional and cyber-bullying victimization, as is the implementation of programs to assist students to regulate their emotions effectively. In addition, traditional bullying victimization may be reduced by addressing association with antisocial friends, family conflict, and bonding to families. © The Author(s) 2014.

Predictors and moderators of outcomes of HIV/STD sex risk reduction interventions in substance abuse treatment programs: a pooled analysis of two randomized controlled trials.

PubMed

Crits-Christoph, Paul; Gallop, Robert; Sadicario, Jaclyn S; Markell, Hannah M; Calsyn, Donald A; Tang, Wan; He, Hua; Tu, Xin; Woody, George

2014-01-16

The objective of the current study was to examine predictors and moderators of response to two HIV sexual risk interventions of different content and duration for individuals in substance abuse treatment programs. Participants were recruited from community drug treatment programs participating in the National Institute on Drug Abuse Clinical Trials Network (CTN). Data were pooled from two parallel randomized controlled CTN studies (one with men and one with women) each examining the impact of a multi-session motivational and skills training program, in comparison to a single-session HIV education intervention, on the degree of reduction in unprotected sex from baseline to 3- and 6- month follow-ups. The findings were analyzed using a zero-inflated negative binomial (ZINB) model. Severity of drug use (p < .01), gender (p < .001), and age (p < .001) were significant main effect predictors of number of unprotected sexual occasions (USOs) at follow-up in the non-zero portion of the ZINB model (men, younger participants, and those with greater severity of drug/alcohol abuse have more USOs). Monogamous relationship status (p < .001) and race/ethnicity (p < .001) were significant predictors of having at least one USO vs. none (monogamous individuals and African Americans were more likely to have at least one USO). Significant moderators of intervention effectiveness included recent sex under the influence of drugs/alcohol (p < .01 in non-zero portion of model), duration of abuse of primary drug (p < .05 in non-zero portion of model), and Hispanic ethnicity (p < .01 in the zero portion, p < .05 in the non-zero portion of model). These predictor and moderator findings point to ways in which patients may be selected for the different HIV sexual risk reduction interventions and suggest potential avenues for further development of the interventions for increasing their effectiveness within certain subgroups.

Prevalence and Predictors of Neoadjuvant Therapy for Stage IIIA Non-Small Cell Lung Cancer in the National Cancer Database: Importance of Socioeconomic Status and Treating Institution

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sher, David J., E-mail: david_sher@rush.edu; Liptay, Michael J.; Fidler, Mary Jo

Purpose: The optimal locoregional therapy for stage IIIA non-small cell lung cancer (NSCLC) is controversial, with definitive chemoradiation therapy (CRT) and neoadjuvant therapy followed by surgery (NT-S) serving as competing strategies. In this study, we used the National Cancer Database to determine the prevalence and predictors of NT in a large, modern cohort of patients. Methods and Materials: Patients with stage IIIA NSCLC treated with CRT or NT-S between 2003 and 2010 at programs accredited by the Commission on Cancer were included. Predictors were categorized as clinical, time/geographic, socioeconomic, and institutional. In accord with the National Cancer Database, institutions were classifiedmore » as academic/research program and as comprehensive and noncomprehensive community cancer centers. Logistic regression and random effects multilevel logistic regression were performed for univariable and multivariable analyses, respectively. Results: The cohort consisted of 18,581 patients, 3,087 (16.6%) of whom underwent NT-S (10.6% induction CRT, 6% induction chemotherapy). The prevalence of NT-S was constant over time, but there were significant relative 31% and 30% decreases in pneumonectomy and right-sided pneumonectomy, respectively, over time (P trend <.02). In addition to younger age, lower T stage, and favorable comorbidity score, indicators of higher socioeconomic status were strong independent predictors of NT-S, including white race, higher income, and private/managed insurance. The type of institution (academic/research program vs comprehensive or noncomprehensive community cancer centers, odds ratio 1.54 and 2.08, respectively) strongly predicted NT-S, but treatment volume did not. Conclusions: Neoadjuvant therapy followed by surgery was an uncommon treatment approach in Commission on Cancer programs, and the prevalence of postinduction pneumonectomy decreased over time. Higher socioeconomic status and treatment at academic institutions were significant predictors of NT-S. Further research should be performed to enable a better understanding of these disparities.« less

Predictors for Associate Degree Nursing Students' First Attempt on NCLEX-RN

ERIC Educational Resources Information Center

Smith, Barbara A.

2011-01-01

Nursing program administrators need to identify significant predictors for associate degree nursing (ADN) students to determine characteristics of those who will most likely pass the NCLEX-RN® on the first attempt. The purpose of the quantitative study with a correlation prediction design was to determine if a relationship existed between the…

Predictors of Employment and Postsecondary Education of Youth with Autism

ERIC Educational Resources Information Center

Migliore, Alberto; Timmons, Jaimie; Butterworth, John; Lugas, Jaime

2012-01-01

Using logistic and multiple regressions, the authors investigated predictors of employment and postsecondary education outcomes of youth with autism in the Vocational Rehabilitation Program. Data were obtained from the RSA911 data set, fiscal year 2008. Findings showed that the odds of gaining employment were greater for youth who received job…

Teacher and Child Predictors of Achieving IEP Goals of Children with Autism

ERIC Educational Resources Information Center

Ruble, Lisa; McGrew, John H.

2013-01-01

It is encouraging that children with autism show a strong response to early intervention, yet more research is needed for understanding the variability in responsiveness to specialized programs. Treatment predictor variables from 47 teachers and children who were randomized to receive the COMPASS intervention (Ruble et al. in "The…

Complaints against Nursing Homes: Comparing Two Sources of Complaint Information and Predictors of Complaints

ERIC Educational Resources Information Center

Troyer, Jennifer L.; Sause, Wendy L.

2011-01-01

Purpose of the Study: Two consumer-derived measures of nursing home quality that have been underutilized by researchers are consumer complaints to the state certification agency between inspections and complaints to the Long-Term Care Ombudsman Program. This article describes these complaints, considers facility-level predictors of complaints, and…

Predictors of Retention in Smoking Cessation Treatment among Latino Smokers in the Northeast United States

ERIC Educational Resources Information Center

Lee, Christina S.; Hayes, Rashelle B.; McQuaid, Elizabeth L.; Borrelli, Belinda

2010-01-01

Introduction. Only one previous study on minority retention in smoking cessation treatment has been conducted (Nevid JS, Javier RA, Moulton JL III. "Factors predicting participant attrition in a community-based, culturally specific smoking cessation program for Hispanic smokers." "Health Psychol" 1996; 15: 226-29). We investigated predictors of…

Predictors of a Major for Psychology and Special Education Students.

ERIC Educational Resources Information Center

Magnello, M. Eileen

An inventory was administered to 161 college students in the late fall of 1977 in an attempt to predict the academic major of either psychology or special education students. The predictors were from the following series of items: demographic characteristics, academic information, occupational interests, and utility of their college program. A…

Predictors and correlations of emotional intelligence among medical students at King Abdulaziz University, Jeddah

PubMed Central

Ibrahim, Nahla Khamis; Algethmi, Wafaa Ali; Binshihon, Safia Mohammad; Almahyawi, Rawan Aesh; Alahmadi, Razan Faisal; Baabdullah, Maha Yousef

2017-01-01

Objectives: To determine the predictors of Emotional Intelligence (EI), and its relationship with academic performance, leadership capacity, self-efficacy and the perceived stress between medical students at King Abdulaziz University, Jeddah, Saudi Arabia. Methods: A cross-sectional study was done among 540 students selected through a multi-stage stratified random sampling method during 2015/2016. A standardized, confidential data collection sheet was used. It included Schutte Self-Report Emotional Intelligence (SSREI) scale, Authentic Leadership questionnaire, General Self-Efficacy Scale and the short version of Perceived Stress Scale (PSS-4). Both descriptive and inferential statistics were done, and a multiple linear regression model was constructed. Results: The predictors of high EI were gender (female), increasing age, and being non-smoker. EI was positively associated with better academic performance, leadership capacity and self-efficacy. It was negatively correlated to perceived-stress. Conclusion: Female gender, age, non-smoking were the predictors of high EI. Conduction of holistic training programs on EI, leadership and self-efficacy are recommended. More smoking control programs and stress management courses are required. PMID:29142542

Measures of Time-Sharing Skill and Gender as Predictors of Flight Simulator Performance.

DTIC Science & Technology

1979-01-01

well as overall e- quations including gender as a variable. Besides gender in the overall equations, measures of time-sharing skill were the best ...study indicated the best predictors of dual or whole-task performance were other dual-tasks. Furthermore, the particular components involved in a dual...switching between tasks, or the use of efficient response strategies " (Damos and Wickens, 1977, p.2). Attentional flexibility. According to Keele

Predictors of early versus late smoking abstinence within a 24-month disease management program.

PubMed

Cox, Lisa Sanderson; Wick, Jo A; Nazir, Niaman; Cupertino, A Paula; Mussulman, Laura M; Ahluwalia, Jasjit S; Ellerbeck, Edward F

2011-03-01

Standard smoking cessation treatment studies have been limited to 6- to 12-month follow-up, and examination of predictors of abstinence has been restricted to this timeframe. The KanQuit study enrolled 750 rural smokers across all stages of readiness to stop smoking and provided pharmacotherapy management and/or disease management, including motivational interviewing (MI) counseling every 6 months over 2 years. This paper examines differences in predictors of abstinence following initial (6-month) and extended (24-month) intervention. Baseline variables were analyzed as potential predictors of self-reported smoking abstinence at Month 6 and at Month 24. Chi-square tests, 2-sample t tests, and multiple logistic regression analyses were used to identify predictors of abstinence among 592 participants who completed assessment at baseline and Months 6 and 24. Controlling for treatment group, the final regression models showed that male gender and lower baseline cigarettes per day predicted abstinence at both 6 and 24 months. While remaining significant, the relative advantage of being male decreased over time. Global motivation to stop smoking, controlled motivation, and self-efficacy predicted abstinence at 6 months but did not predict abstinence at Month 24. In contrast, stage of change was strongly predictive of 24-month smoking status. While the importance of some predictors of successful smoking cessation appeared to diminish over time, initial lack of interest in cessation and number of cigarettes per day strongly predicted continued smoking following a 2-year program.

Adherence predictors in an Internet-based Intervention program for depression.

PubMed

Castro, Adoración; López-Del-Hoyo, Yolanda; Peake, Christian; Mayoral, Fermín; Botella, Cristina; García-Campayo, Javier; Baños, Rosa María; Nogueira-Arjona, Raquel; Roca, Miquel; Gili, Margalida

2018-05-01

Internet-delivered psychotherapy has been demonstrated to be effective in the treatment of depression. Nevertheless, the study of the adherence in this type of the treatment reported divergent results. The main objective of this study is to analyze predictors of adherence in a primary care Internet-based intervention for depression in Spain. A multi-center, three arm, parallel, randomized controlled trial was conducted with 194 depressive patients, who were allocated in self-guided or supported-guided intervention. Sociodemographic and clinical characteristics were gathered using a case report form. The Mini international neuropsychiatric interview diagnoses major depression. Beck Depression Inventory was used to assess depression severity. The visual analogic scale assesses the respondent's self-rated health and Short Form Health Survey was used to measure the health-related quality of life. Age results a predictor variable for both intervention groups (with and without therapist support). Perceived health is a negative predictor of adherence for the self-guided intervention when change in depression severity was included in the model. Change in depression severity results a predictor of adherence in the support-guided intervention. Our findings demonstrate that in our sample, there are differences in sociodemographic and clinical variables between active and dropout participants and we provide adherence predictors in each intervention condition of this Internet-based program for depression (self-guided and support-guided). It is important to point that further research in this area is essential to improve tailored interventions and to know specific patients groups can benefit from these interventions.

Predictors of Success on Professional Credentialing Examinations of Athletic Training Undergraduates

ERIC Educational Resources Information Center

Esparza, Shandra Dawn

2012-01-01

Compared to other allied health programs, graduates of athletic training (AT) programs have lower pass rates on their national credentialing examination (48%). In 2013, the new Standards for Entry Level AT Programs from the Commission on Accreditation of Athletic Training Education (CAATE) will require AT education programs to be accountable for…

Examining Predictors of Breakfast Skipping and Breakfast Program Use among Secondary School Students in the Compass Study

ERIC Educational Resources Information Center

Godin, Katelyn M.; Patte, Karen A.; Leatherdale, Scott T.

2018-01-01

Background: Many Canadian schools offer breakfast programs; however, students' engagement in these programs is low, while breakfast skipping is highly prevalent among youth. This study examined whether the availability of breakfast programs supports adolescents' regular breakfast eating, and identified characteristics of breakfast skippers who are…

Application of an artificial intelligence program to therapy of high-risk surgical patients.

PubMed

Patil, R S; Adibi, J; Shoemaker, W C

1996-11-01

We developed an artificial intelligence program from a large computerized database of hemodynamic and oxygen transport measurements together with prior studies defining survivors' values, outcome predictors, and a branched-chain decision tree. The artificial intelligence program was then tested on the data of 100 survivors and 100 nonsurvivors not used for the development of the program or other analyses. Using the predictor as a surrogate outcome measure, the therapy recommended by the program improved the predicted outcome 3.16% per therapeutic intervention while the actual therapy given increased outcome 1.86% in surviving patients; the artificial intelligence-recommended therapy improved outcome 7.9% in nonsurvivors, while the actual therapy given increased predicted outcome -0.29% in nonsurvivors (p < .05). There were fewer patients whose predicted outcome decreased after recommended treatment (14%) than after the actual therapy given (37%). Review of therapy recommended by the program did not reveal instances of inappropriate or potentially harmful recommendations.

HiRel: Hybrid Automated Reliability Predictor (HARP) integrated reliability tool system, (version 7.0). Volume 1: HARP introduction and user's guide

NASA Technical Reports Server (NTRS)

Bavuso, Salvatore J.; Rothmann, Elizabeth; Dugan, Joanne Bechta; Trivedi, Kishor S.; Mittal, Nitin; Boyd, Mark A.; Geist, Robert M.; Smotherman, Mark D.

1994-01-01

The Hybrid Automated Reliability Predictor (HARP) integrated Reliability (HiRel) tool system for reliability/availability prediction offers a toolbox of integrated reliability/availability programs that can be used to customize the user's application in a workstation or nonworkstation environment. HiRel consists of interactive graphical input/output programs and four reliability/availability modeling engines that provide analytical and simulative solutions to a wide host of reliable fault-tolerant system architectures and is also applicable to electronic systems in general. The tool system was designed to be compatible with most computing platforms and operating systems, and some programs have been beta tested, within the aerospace community for over 8 years. Volume 1 provides an introduction to the HARP program. Comprehensive information on HARP mathematical models can be found in the references.

A monolithic homotopy continuation algorithm with application to computational fluid dynamics

NASA Astrophysics Data System (ADS)

Brown, David A.; Zingg, David W.

2016-09-01

A new class of homotopy continuation methods is developed suitable for globalizing quasi-Newton methods for large sparse nonlinear systems of equations. The new continuation methods, described as monolithic homotopy continuation, differ from the classical predictor-corrector algorithm in that the predictor and corrector phases are replaced with a single phase which includes both a predictor and corrector component. Conditional convergence and stability are proved analytically. Using a Laplacian-like operator to construct the homotopy, the new algorithm is shown to be more efficient than the predictor-corrector homotopy continuation algorithm as well as an implementation of the widely-used pseudo-transient continuation algorithm for some inviscid and turbulent, subsonic and transonic external aerodynamic flows over the ONERA M6 wing and the NACA 0012 airfoil using a parallel implicit Newton-Krylov finite-difference flow solver.

Maximum likelihood estimation of correction for dilution bias in simple linear regression using replicates from subjects with extreme first measurements.

PubMed

Berglund, Lars; Garmo, Hans; Lindbäck, Johan; Svärdsudd, Kurt; Zethelius, Björn

2008-09-30

The least-squares estimator of the slope in a simple linear regression model is biased towards zero when the predictor is measured with random error. A corrected slope may be estimated by adding data from a reliability study, which comprises a subset of subjects from the main study. The precision of this corrected slope depends on the design of the reliability study and estimator choice. Previous work has assumed that the reliability study constitutes a random sample from the main study. A more efficient design is to use subjects with extreme values on their first measurement. Previously, we published a variance formula for the corrected slope, when the correction factor is the slope in the regression of the second measurement on the first. In this paper we show that both designs improve by maximum likelihood estimation (MLE). The precision gain is explained by the inclusion of data from all subjects for estimation of the predictor's variance and by the use of the second measurement for estimation of the covariance between response and predictor. The gain of MLE enhances with stronger true relationship between response and predictor and with lower precision in the predictor measurements. We present a real data example on the relationship between fasting insulin, a surrogate marker, and true insulin sensitivity measured by a gold-standard euglycaemic insulin clamp, and simulations, where the behavior of profile-likelihood-based confidence intervals is examined. MLE was shown to be a robust estimator for non-normal distributions and efficient for small sample situations. Copyright (c) 2008 John Wiley & Sons, Ltd.

Neighborhood Effects on PND Symptom Severity for Women Enrolled in a Home Visiting Program.

PubMed

Jones, David E; Tang, Mei; Folger, Alonzo; Ammerman, Robert T; Hossain, Md Monir; Short, Jodie; Van Ginkel, Judith B

2018-05-01

The aim of this study was to investigate the association between postnatal depression (PND) symptoms severity and structural neighborhood characteristics among women enrolled in a home visiting program. The sample included 295 mothers who were at risk for developing PND, observed as 3-month Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 10. Two neighborhood predictor components (residential stability and social disadvantage) were analyzed as predictors of PND symptom severity using a generalized estimating equation. Residential stability was negatively associated with PND symptom severity. Social disadvantage was not found to be statistically significantly. The findings suggest that residential stability is associated with a reduction in PND symptom severity for women enrolled in home visiting program.

Prevalence and Predictors of Mental Health Programming Among U.S. Religious Congregations.

PubMed

Wong, Eunice C; Fulton, Brad R; Derose, Kathryn P

2018-02-01

This study assessed the prevalence of and factors associated with congregation-based programming in support of people with mental illness. To estimate the proportion of congregations that provide mental health programming, this study reports analyses of survey responses from the 2012 National Congregations Study, a nationally representative survey of religious congregations in the United States (N=1,327). The analysis used multivariate logistic regression to identify congregational characteristics associated with the provision of mental health programming. Nearly one in four U.S. congregations (23%) provided some type of programming to support people with mental illness. Approximately 31% of all attendees belonged to a congregation that provided mental health programming. Congregational characteristics associated with providing mental health programming included having more members and having members with higher incomes, employing staff for social service programs, and providing health-focused programs. Other significant predictors included engaging with the surrounding community (that is, conducting community needs assessments and hosting speakers from social service organizations) and being located in a predominantly African-American community. Greater coordination between mental health providers and congregations with programs that support people with mental illness could foster more integrated and holistic care, which in turn may lead to improved recovery outcomes.

Predictors of Parent Involvement and Their Impact on Access of Postsecondary Education Facilitators among White and American Indian Parents

ERIC Educational Resources Information Center

Bardhoshi, Gerta; Duncan, Kelly; Schweinle, Amy

2016-01-01

This study examined demographic factors as predictors of parent involvement (engagement with school, support of learning, support of child) among parents of children that attended a school implementing a college access program. The authors also examined whether involvement predicted access of postsecondary education facilitators in parents, when…

Predicting Attrition in a Military Special Program Training Command

DTIC Science & Technology

2016-05-20

management, infrequency, and acquiescence. The 16PF Protective Services Dimensions include: emotional adjustment, integrity/control, intellectual...outcome (p = .10) Model 5: 16PF Protective Services Dimensions Only Predictors included emotional adjustment, integrity/control, intellectual...consciousness were not significantly related to GPA (ps = .01). Model 2A.5: 16PF Protective Services Dimensions Only Predictors included: emotional

Predictors of mortality for juvenile trees in a residential urban-to-rural cohort in Worcester, MA

Treesearch

Arthur Elmes; John Rogan; Lara A. Roman; Christopher A. Williams; Samuel J. Ratick; David J. Nowak; Deborah G. Martin

2018-01-01

This paper explores predictors of juvenile tree mortality in a newly planted cohort in Worcester, MA, following an episode of large-scale tree removal necessitated by an Asian Longhorned Beetle (Anoplophora glabripennis, ALB) eradication program. Trees are increasingly seen as important providers of ecosystem services for urban areas, including:...

Complex Intellect vs the IQ Test as a Predictor of Performance.

ERIC Educational Resources Information Center

Dees, James W.

In order to test the ubiquity of the structure of the intellect for predictors of performance, a psychomotor skill (M 16 rifle proficiency test), a measure of perseverance (completion or resignation from OCS Program), and a measure of leadership ability (peer ratings) were selected as criteria on which multiple regressions were conducted with a…

A Longitudinal Study of Family Socioeconomic Status (SES) Variables as Predictors of Socio-Emotional Resilience among Mentored Youth

ERIC Educational Resources Information Center

Thompson, R. Bruce; Corsello, Maryann; McReynolds, Samuel; Conklin-Powers, Bernice

2013-01-01

In this study, we explored socioeconomic status (SES) and family structure as predictors of resiliencies among "at-risk" youth before and after participating in schools-based mentoring programs. Twenty-four youths (13 girls) aged 13-18 ("M" = 16.21, SD = 1.76) participated. Youths completed pre- and post-test…

Organized music instruction as a predictor of nursing student success.

PubMed

Cesario, Sandra K; Cesario, Robert J; Cesario, Anthony R

2013-01-01

Stringent admission criteria exist for nursing programs in the United States, but better predictors of success are needed to reduce student attrition. Research indicates that organized music experiences are associated with greater academic success. This exploratory study examined the association between early music experiences and undergraduate nursing student success. Findings suggest that students with a music background were more likely to graduate, have higher grade point averages, and pass the licensure examination. Previous music education might be considered as an additional predictor of nursing student success.

Robust small area prediction for counts.

PubMed

Tzavidis, Nikos; Ranalli, M Giovanna; Salvati, Nicola; Dreassi, Emanuela; Chambers, Ray

2015-06-01

A new semiparametric approach to model-based small area prediction for counts is proposed and used for estimating the average number of visits to physicians for Health Districts in Central Italy. The proposed small area predictor can be viewed as an outlier robust alternative to the more commonly used empirical plug-in predictor that is based on a Poisson generalized linear mixed model with Gaussian random effects. Results from the real data application and from a simulation experiment confirm that the proposed small area predictor has good robustness properties and in some cases can be more efficient than alternative small area approaches. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Participation in Prevention Programs for Dating Violence: Beliefs about Relationship Violence and Intention to Participate

ERIC Educational Resources Information Center

Cornelius, Tara L.; Sullivan, Kieran T.; Wyngarden, Nicole; Milliken, Jennifer C.

2009-01-01

This study utilizes the Health Belief Model (HBM) to examine the factors related to the intention to participate in prevention programming for dating violence. Perceptions of susceptibility to future violence and the benefits of prevention programming appear to be the strongest predictors of participation in prevention programs. Perceptions of the…

Posttreatment attrition and its predictors, attrition bias, and treatment efficacy of the anxiety online programs.

PubMed

Al-Asadi, Ali M; Klein, Britt; Meyer, Denny

2014-10-14

Although relatively new, the field of e-mental health is becoming more popular with more attention given to researching its various aspects. However, there are many areas that still need further research, especially identifying attrition predictors at various phases of assessment and treatment delivery. The present study identified the predictors of posttreatment assessment completers based on 24 pre- and posttreatment demographic and personal variables and 1 treatment variable, their impact on attrition bias, and the efficacy of the 5 fully automated self-help anxiety treatment programs for generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder with or without agoraphobia (PD/A), obsessive-compulsive disorder (OCD), and posttraumatic stress disorder (PTSD). A complex algorithm was used to diagnose participants' mental disorders based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision; DSM-IV-TR). Those who received a primary or secondary diagnosis of 1 of 5 anxiety disorders were offered an online 12-week disorder-specific treatment program. A total of 3199 individuals did not formally drop out of the 12-week treatment cycle, whereas 142 individuals formally dropped out. However, only 347 participants who completed their treatment cycle also completed the posttreatment assessment measures. Based on these measures, predictors of attrition were identified and attrition bias was examined. The efficacy of the 5 treatment programs was assessed based on anxiety-specific severity scores and 5 additional treatment outcome measures. On average, completers of posttreatment assessment measures were more likely to be seeking self-help online programs; have heard about the program from traditional media or from family and friends; were receiving mental health assistance; were more likely to learn best by reading, hearing and doing; had a lower pretreatment Kessler-6 total score; and were older in age. Predicted probabilities resulting from these attrition variables displayed no significant attrition bias using Heckman's method and thus allowing for the use of completer analysis. Six treatment outcome measures (Kessler-6 total score, number of diagnosed disorders, self-confidence in managing mental health issues, quality of life, and the corresponding pre- and posttreatment severity for each program-specific anxiety disorder and for major depressive episode) were used to assess the efficacy of the 5 anxiety treatment programs. Repeated measures MANOVA revealed a significant multivariate time effect for all treatment outcome measures for each treatment program. Follow-up repeated measures ANOVAs revealed significant improvements on all 6 treatment outcome measures for GAD and PTSD, 5 treatment outcome measures were significant for SAD and PD/A, and 4 treatment outcome measures were significant for OCD. Results identified predictors of posttreatment assessment completers and provided further support for the efficacy of self-help online treatment programs for the 5 anxiety disorders. Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).

Predictors of Diversification of Journalism & Mass Communication Faculties 1989-1998.

ERIC Educational Resources Information Center

Becker, Lee B.; Huh, Jisu; Vlad, Tudor

2003-01-01

Examines three different factors that could explain the variability in attempts to diversify journalism and mass communication faculties: the characteristics of the region in which the journalism program is located, the characteristics of the university that houses the program, and the characteristics of the journalism program itself. Outlines…

Simulation for Nurse Anesthesia Program Selection: Redesigned

ERIC Educational Resources Information Center

Roebuck, John Arthur

2017-01-01

Purpose: This project is meant to answer the research question: What applicant character traits do Nurse Anesthesia Program Directors and Faculty identify as favorable predictors for successful completion of a nurse anesthesia program, and what evaluation methods are best to evaluate these traits in prospective students? Methods: A prospective…

Probabilistic streamflow forecasting for hydroelectricity production: A comparison of two non-parametric system identification algorithms

NASA Astrophysics Data System (ADS)

Pande, Saket; Sharma, Ashish

2014-05-01

This study is motivated by the need to robustly specify, identify, and forecast runoff generation processes for hydroelectricity production. It atleast requires the identification of significant predictors of runoff generation and the influence of each such significant predictor on runoff response. To this end, we compare two non-parametric algorithms of predictor subset selection. One is based on information theory that assesses predictor significance (and hence selection) based on Partial Information (PI) rationale of Sharma and Mehrotra (2014). The other algorithm is based on a frequentist approach that uses bounds on probability of error concept of Pande (2005), assesses all possible predictor subsets on-the-go and converges to a predictor subset in an computationally efficient manner. Both the algorithms approximate the underlying system by locally constant functions and select predictor subsets corresponding to these functions. The performance of the two algorithms is compared on a set of synthetic case studies as well as a real world case study of inflow forecasting. References: Sharma, A., and R. Mehrotra (2014), An information theoretic alternative to model a natural system using observational information alone, Water Resources Research, 49, doi:10.1002/2013WR013845. Pande, S. (2005), Generalized local learning in water resource management, PhD dissertation, Utah State University, UT-USA, 148p.

The Effectiveness of a Computer-Tailored E-Learning Program for Practice Nurses to Improve Their Adherence to Smoking Cessation Counseling Guidelines: Randomized Controlled Trial.

PubMed

de Ruijter, Dennis; Candel, Math; Smit, Eline Suzanne; de Vries, Hein; Hoving, Ciska

2018-05-22

Improving practice nurses' (PN) adherence to smoking cessation counseling guidelines will benefit the quality of smoking cessation care and will potentially lead to higher smoking abstinence rates. However, support programs to aid PNs in improving their guideline uptake and adherence do not exist yet. The aim of this study was to assess the effects of a novel computer-tailored electronic learning (e-learning) program on PNs' smoking cessation guideline adherence. A Web-based randomized controlled trial (RCT) was conducted in which an intervention group (N=147) with full access to the e-learning program for 6 months was compared with a control group (N=122) without access. Data collection was fully automated at baseline and 6-month follow-up via online questionnaires, assessing PNs' demographics, work-related factors, potential behavioral predictors based on the I-Change model, and guideline adherence. PNs also completed counseling checklists to retrieve self-reported counseling activities for each consultation with a smoker (N=1175). To assess the program's effectiveness in improving PNs' guideline adherence (ie, overall adherence and adherence to individual counseling guideline steps), mixed linear and logistic regression analyses were conducted, thus accommodating for the smokers being nested within PNs. Potential effect moderation by work-related factors and behavioral predictors was also examined. After 6 months, 121 PNs in the intervention group (82.3%, 121/147) and 103 in the control group (84.4%, 103/122) completed the follow-up questionnaire. Mixed linear regression analysis revealed that counseling experience moderated the program's effect on PNs' overall guideline adherence (beta=.589; 95% CI 0.111-1.068; P Holm-Bonferroni =.048), indicating a positive program effect on adherence for PNs with a more than average level of counseling experience. Mixed logistic regression analyses regarding adherence to individual guideline steps revealed a trend toward moderating effects of baseline levels of behavioral predictors and counseling experience. More specifically, for PNs with less favorable scores on behavioral predictors (eg, low baseline self-efficacy) and high levels of counseling experience, the program significantly increased adherence. Results from our RCT showed that among PNs with more than average counseling experience, the e-learning program resulted in significantly better smoking cessation guideline adherence. Experienced PNs might have been better able to translate the content of our e-learning program into practically applicable counseling strategies compared with less experienced colleagues. Less favorable baseline levels of behavioral predictors among PNs possibly contributed to this effect, as there was more room for improvement by consulting the tailored content of the e-learning program. To further substantiate the effectiveness of e-learning programs on guideline adherence by health care professionals (HCPs), it is important to assess how to support a wider range of HCPs. Netherlands Trial Register NTR4436; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4436 (Archived by WebCite at http://www.webcitation.org/6zJQuSRq0). ©Dennis de Ruijter, Math Candel, Eline Suzanne Smit, Hein de Vries, Ciska Hoving. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.05.2018.

Predictors of Loss to Follow-up Among HIV-infected Patients in a Rural South-Eastern Nigeria Hospital: A 5-year Retrospective Cohort Study

PubMed Central

Eguzo, KN; Lawal, AK; Umezurike, CC; Eseigbe, CE

2015-01-01

Background: Patient attrition has been a challenge in managing HIV programs in resource-limited settings. Aim: This study reviews the predictors of loss to follow-up (LTFU) in our hospital and suggests the best practices for dealing with the issue. Subjects and Methods: A 5-year retrospective cohort study of 1256 HIV-infected patients. Baseline CD4 counts, age, gender, year of enrolment, and antiretroviral therapy combination regimen were considered in this study. Kaplan–Meier models were used to estimate the univariate time-to-LTFU and Cox proportional hazards models to identify the multivariate predictors of LTFU. Results: Twenty-four percent (23.9% [301/1256]) of patients were lost to follow-up. Baseline CD4 count, year of enrolment, and drug combination were significant predictors of LTFU. Patients enrolled earlier (2008/2009) were twice as likely to be LTFU compared with those enrolled later (2010–2013). Gender and age did not significantly predict LTFU nor confound other predictors. Conclusion: The program showed higher LTFU rates than most studies in Nigeria and Africa, maybe due to difficulties with the access to the hospital and possible treatment fatigue. This study recommends the provision of transportation subsidies and proactive patient follow-up with “peer-tracking” to reduce LTFU among HIV infected patients, especially in resource-limited settings. PMID:27057373

Empirical Evaluation of Hunk Metrics as Bug Predictors

NASA Astrophysics Data System (ADS)

Ferzund, Javed; Ahsan, Syed Nadeem; Wotawa, Franz

Reducing the number of bugs is a crucial issue during software development and maintenance. Software process and product metrics are good indicators of software complexity. These metrics have been used to build bug predictor models to help developers maintain the quality of software. In this paper we empirically evaluate the use of hunk metrics as predictor of bugs. We present a technique for bug prediction that works at smallest units of code change called hunks. We build bug prediction models using random forests, which is an efficient machine learning classifier. Hunk metrics are used to train the classifier and each hunk metric is evaluated for its bug prediction capabilities. Our classifier can classify individual hunks as buggy or bug-free with 86 % accuracy, 83 % buggy hunk precision and 77% buggy hunk recall. We find that history based and change level hunk metrics are better predictors of bugs than code level hunk metrics.

Socialization in Pigtailed Macaques (Macaca nemestrina)

PubMed Central

WORLEIN, JULIE M.; KROEKER, ROSE; LEE, GRACE H.; THOM, JINHEE P.; BELLANCA, RITA U.; CROCKETT, CAROLYN M.

2018-01-01

In response to new emphasis by regulatory agencies regarding socialization, behavioral management programs are allocating greater resources to maximize socialization opportunities for laboratory primates. Information regarding predictors of compatibility and risk of injury for all laboratory-housed species of macaques are needed to make social introductions and pairings as efficient and safe as possible. This study presents data on 674 pairs of pigtailed macaques (Macaca nemestrina) at the Washington National Primate Research Center over a 7-year period. During pair introduction, behavior was monitored while the degree of tactile contact was gradually increased. Based on observed behavior, pairs were assigned a behavioral introduction score (BIS), rating the quality of their interactions for each day of introduction. Animals deemed compatible, based on the BIS and technologist judgment, were allowed to progress to continuous contact with no staff present. A small proportion of animals deemed compatible at introduction was later separated for subsequent incompatibility or aggression; these proportions were higher in full contact compared to protected contact pairings. Of 674 pairs, 75% were deemed compatible at introduction in protected contact; 86 of these pairs were later transitioned to full contact with 98% compatibility. Predictors of decreased compatibility assessed during protected contact introductions included age (adult pairs were less compatible), the BIS on the last day of introduction, and aggression or injury during the introductory period. Predictors of injuries during the protected contact introduction process included: aggression on the first day of introduction, a negative BIS on the first or last day of introduction, and, surprisingly, the presence of grooming on the first day of introduction. Injuries during both introduction and subsequent pairing in protected contact were rare; however, injury rates increased significantly during full-contact pairing. These findings underscore the necessity of species-specific data to guide decision-making during the social introduction process. PMID:27109591

Determination of the optimal training principle and input variables in artificial neural network model for the biweekly chlorophyll-a prediction: a case study of the Yuqiao Reservoir, China.

PubMed

Liu, Yu; Xi, Du-Gang; Li, Zhao-Liang

2015-01-01

Predicting the levels of chlorophyll-a (Chl-a) is a vital component of water quality management, which ensures that urban drinking water is safe from harmful algal blooms. This study developed a model to predict Chl-a levels in the Yuqiao Reservoir (Tianjin, China) biweekly using water quality and meteorological data from 1999-2012. First, six artificial neural networks (ANNs) and two non-ANN methods (principal component analysis and the support vector regression model) were compared to determine the appropriate training principle. Subsequently, three predictors with different input variables were developed to examine the feasibility of incorporating meteorological factors into Chl-a prediction, which usually only uses water quality data. Finally, a sensitivity analysis was performed to examine how the Chl-a predictor reacts to changes in input variables. The results were as follows: first, ANN is a powerful predictive alternative to the traditional modeling techniques used for Chl-a prediction. The back program (BP) model yields slightly better results than all other ANNs, with the normalized mean square error (NMSE), the correlation coefficient (Corr), and the Nash-Sutcliffe coefficient of efficiency (NSE) at 0.003 mg/l, 0.880 and 0.754, respectively, in the testing period. Second, the incorporation of meteorological data greatly improved Chl-a prediction compared to models solely using water quality factors or meteorological data; the correlation coefficient increased from 0.574-0.686 to 0.880 when meteorological data were included. Finally, the Chl-a predictor is more sensitive to air pressure and pH compared to other water quality and meteorological variables.

Power prediction in mobile communication systems using an optimal neural-network structure.

PubMed

Gao, X M; Gao, X Z; Tanskanen, J A; Ovaska, S J

1997-01-01

Presents a novel neural-network-based predictor for received power level prediction in direct sequence code division multiple access (DS/CDMA) systems. The predictor consists of an adaptive linear element (Adaline) followed by a multilayer perceptron (MLP). An important but difficult problem in designing such a cascade predictor is to determine the complexity of the networks. We solve this problem by using the predictive minimum description length (PMDL) principle to select the optimal numbers of input and hidden nodes. This approach results in a predictor with both good noise attenuation and excellent generalization capability. The optimized neural networks are used for predictive filtering of very noisy Rayleigh fading signals with 1.8 GHz carrier frequency. Our results show that the optimal neural predictor can provide smoothed in-phase and quadrature signals with signal-to-noise ratio (SNR) gains of about 12 and 7 dB at the urban mobile speeds of 5 and 50 km/h, respectively. The corresponding power signal SNR gains are about 11 and 5 dB. Therefore, the neural predictor is well suitable for power control applications where ldquodelaylessrdquo noise attenuation and efficient reduction of fast fading are required.

Predictors of participant engagement and naloxone utilization in a community-based naloxone distribution program.

PubMed

Rowe, Christopher; Santos, Glenn-Milo; Vittinghoff, Eric; Wheeler, Eliza; Davidson, Peter; Coffin, Philip O

2015-08-01

To describe characteristics of participants and overdose reversals associated with a community-based naloxone distribution program and identify predictors of obtaining naloxone refills and using naloxone for overdose reversal. Bivariate statistical tests were used to compare characteristics of participants who obtained refills and reported overdose reversals versus those who did not. We fitted multiple logistic regression models to identify predictors of refills and reversals; zero-inflated multiple Poisson regression models were used to identify predictors of number of refills and reversals. San Francisco, California, USA. Naloxone program participants registered and reversals reported from 2010 to 2013. Baseline characteristics of participants and reported characteristics of reversals. A total of 2500 participants were registered and 702 reversals were reported from 2010 to 2013. Participants who had witnessed an overdose [adjusted odds ratio (AOR)=2.02, 95% confidence interval (CI)= 1.53-2.66; AOR = 2.73, 95% CI = 1.73-4.30] or used heroin (AOR = 1.85, 95% CI =  1.44-2.37; AOR = 2.19, 95% CI = 1.54-3.13) or methamphetamine (AOR=1.71, 95% CI=1.37-2.15; AOR=1.61, 95% CI=1.18-2.19) had higher odds of obtaining a refill and reporting a reversal, respectively. African American (AOR = 0.63, 95% CI = 0.45-0.88) and Latino (AOR = 0.65, 95% CI =  0.43-1.00) participants had lower odds of obtaining a naloxone refill, whereas Latino participants who obtained at least one refill reported a higher number of refills [incidence rate ratio (IRR) = 1.33 (1.05-1.69)]. Community naloxone distribution programs are capable of reaching sizeable populations of high-risk individuals and facilitating large numbers of overdose reversals. Community members most likely to engage with a naloxone program and use naloxone to reverse an overdose are active drug users. © 2015 Society for the Study of Addiction.

Language Use in Six Study Abroad Programs: An Exploratory Analysis of Possible Predictors

ERIC Educational Resources Information Center

Dewey, Dan P.; Bown, Jennifer; Baker, Wendy; Martinsen, Rob A.; Gold, Carrie; Eggett, Dennis

2014-01-01

A common predictor of language gains during study abroad (SA) is amount of language use. Yet little attention has been given to determining what factors influence the extent of language use while abroad. Studies in this area have mainly been case studies of learners in single locations. In this larger study, we seek to determine variables…

Cognitive and Affective Variables and Their Relationships to Performance in a Lotus 1-2-3 Class.

ERIC Educational Resources Information Center

Guster, Dennis; Batt, Richard

1989-01-01

Describes study of two-year college students that was conducted to determine whether variables that were predictors of success in a programing class were also predictors of success in a package-oriented computer class using Lotus 1-2-3. Diagraming skill, critical thinking ability, spatial discrimination, and test anxiety level were examined. (11…

Determinants of Success on the ETS Business Major Field Exam for Students in an Undergraduate Multisite Regional University Business Program

ERIC Educational Resources Information Center

Bagamery, Bruce D.; Lasik, John J.; Nixon, Don R.

2005-01-01

Extending previous studies, the authors examined a larger set of variables to identify predictors of student performance on the Educational Testing Service Major Field Exam in Business, which has been shown to be an externally valid measure of student learning outcomes. Significant predictors include gender, whether students took the SAT, and…

Intertemporal Consistency of Predictors of Student Performance: Evidence from a Business Administration Program

ERIC Educational Resources Information Center

Richter, Ansgar

2006-01-01

In this article, the author analyzes the intertemporal consistency of high school grades as predictors of the academic performance of business administration students over a 2-year period by using data from a university in Germany. This study shows how students' average high school grades and a range of other factors are regressed on the students'…

Predictors of Change in Stress, Interaction Styles, and Depression in Parents of Toddlers with Autism

ERIC Educational Resources Information Center

Trocchio, Jennie S.

2013-01-01

The purpose of this study was to identify the predictors of change in parental stress (including parent and child factors), depression, and interaction style in parents of toddlers with Autism Spectrum Disorders (ASD), exposed to two types of early intervention (EI) programs, PLAY and Community Standard (CS). This study utilized secondary data of…

Effectiveness of Large-Scale Community-Based Intensive Behavioral Intervention: A Waitlist Comparison Study Exploring Outcomes and Predictors

ERIC Educational Resources Information Center

Flanagan, Helen E.; Perry, Adrienne; Freeman, Nancy L.

2012-01-01

File review data were used to explore the impact of a large-scale publicly funded Intensive Behavioral Intervention (IBI) program for young children with autism. Outcomes were compared for 61 children who received IBI and 61 individually matched children from a waitlist comparison group. In addition, predictors of better cognitive outcomes were…

Perceived difficulty quitting predicts enrollment in a smoking-cessation program for patients with head and neck cancer.

PubMed

Duffy, Sonia A; Scheumann, Angela L; Fowler, Karen E; Darling-Fisher, Cynthia; Terrell, Jeffrey E

2010-05-01

To determine the predictors of participation in a smoking-cessation program among patients with head and neck cancer. This cross-sectional study is a substudy of a larger, randomized trial of patients with head and neck cancer that determined the predictors of smokers' participation in a cessation intervention. Otolaryngology clinics at three Veterans Affairs medical centers (Ann Arbor, MI, Gainesville, FL, and Dallas, TX), and the University of Michigan Hospital in Ann Arbor. 286 patients who had smoked within six months of the screening survey were eligible for a smoking-cessation intervention. Descriptive statistics and bivariate and multivariate logistic regression were used to determine the independent predictors of smokers' participation in an intervention study. Perceived difficulty quitting (as a construct of self-efficacy), health behaviors (i.e., smoking and problem drinking), clinical characteristics (i.e., depression and cancer site and stage), and demographic variables. Forty-eight percent of those eligible participated. High perceived difficulty quitting was the only statistically significant predictor of participation, whereas problem drinking, lower depressive symptoms, and laryngeal cancer site approached significance. Special outreach may be needed to reach patients with head and neck cancer who are overly confident in quitting, problem drinkers, and patients with laryngeal cancer. Oncology nurses are in an opportune position to assess patients' perceived difficulty quitting smoking and motivate them to enroll in cessation programs, ultimately improving quality of life, reducing risk of recurrence, and increasing survival for this population.

Effect of Meaningful Recognition on Critical Care Nurses' Compassion Fatigue.

PubMed

Kelly, Lesly A; Lefton, Cindy

2017-11-01

As caregivers in high-pressure environments, critical care nurses are at risk for burnout and secondary trauma-components of compassion fatigue. Recent findings have increased understanding of the phenomena, specifically that satisfaction and meaningful recognition may play a role in reducing burnout and raising compassion satisfaction; however, no large multisite studies of compassion fatigue have been conducted. To examine the effect of meaningful recognition and other predictors on compassion fatigue in a multicenter national sample of critical care nurses. A quantitative, descriptive online survey was completed by 726 intensive care unit nurses in 14 hospitals with an established meaningful recognition program and 410 nurses in 10 hospitals without such a program. Site coordinators at each hospital coordinated distribution of the survey to nurses to assess multiple predictors against outcomes, measured by the Professional Quality of Life Scale. Cross-validation and linear regression modeling were conducted to determine significant predictors of burnout, secondary traumatic stress, and compassion satisfaction. Similar levels of burnout, secondary traumatic stress, compassion satisfaction, overall satisfaction, and intent to leave were reported by nurses in hospitals with and without meaningful recognition programs. Meaningful recognition was a significant predictor of decreased burnout and increased compassion satisfaction. Additionally, job satisfaction and job enjoyment were highly predictive of decreased burnout, decreased secondary traumatic stress, and increased compassion satisfaction. In addition to acknowledging and valuing nurses' contributions to care, meaningful recognition could reduce burnout and boost compassion satisfaction. ©2017 American Association of Critical-Care Nurses.

Predictors of HPV vaccine initiation and completion among Hispanic mothers of 11- to 17-year-old daughters living along the Texas-Mexico border

PubMed Central

Parra-Medina, Deborah

2016-01-01

Few Texas Latino girls initiate and complete the HPV vaccine series, but few studies have examined predictors of initiation and completion in this group. Mothers are crucial to vaccine uptake. Using self-reported data from mothers of unvaccinated girls (n=317), we examined the association between predictors (HPV and HPV vaccine knowledge, vaccine self-efficacy) and outcomes (initiation and completion). Despite an increase in HPV and HPV vaccine knowledge from baseline to follow-up (n=195), we found no association between the predictors and the outcomes. Findings showed that health insurance status and study group participation (Entre Madre e Hija program or brochure only) were associated with initiation and completion. PMID:28207677

Efficient Simulation and Novel Modeling by Using Generic Three-Dimensional Exact Solutions to Analyze Transport Dynamics in Turbulent Vortices

DTIC Science & Technology

2009-02-28

algorithm 16. SECURITY CLASSIFICATION OF: a. REPORT C b. ABSTRACT (’ c . THIS PAGE C 17. LIMITATION OF ABSTRACT SAR 18. NUMBER OF PAGES 16...further improved by in- cluding Fi^Fs ... obtained by very fast predictor - corrector scheme along / direction. 2 n/(El) 4 Fig. 1: Preliminary...by solving eq.l 1 with Euler predictor - corrector method. As a result, Uj can be evaluated from the expansion eq.9. • Step 2:- The normal

Who Are the Anonymous? Involvement and Predictors of Gamblers Anonymous Attendance Among Disordered Gamblers Presenting for Treatment.

PubMed

McGrath, Daniel S; Kim, Hyoun S; Hodgins, David C; Novitsky, Christine; Tavares, Hermano

2018-04-24

Gamblers Anonymous is the most widely available form of support for disordered gambling. Although chapters exist worldwide, knowledge of how attendees interact with the program is limited. The present study aimed to investigate involvement in Gamblers Anonymous among attendees, motives for attendance, and overall satisfaction with the program. Furthermore, potential gambling-related predictors of attendance versus deciding not to attend Gamblers Anonymous were investigated. A treatment-seeking sample of disordered gamblers (N = 512) from São Paulo, Brazil completed a series of self-report measures including an author-compiled Gamblers Anonymous survey. From the sample, 141 gamblers reported attending Gamblers Anonymous over the previous 30 days. An examination of involvement, satisfaction, and motives for attending Gamblers Anonymous was conducted, followed by regression analyses to assess predictors of attendance and satisfaction with the program. The majority of attendees (80%) reported some satisfaction with the program. The most common motive for attending Gamblers Anonymous was related to relapse prevention. Regression analyses revealed that greater gambling severity and number of days gambled were associated with not attending Gamblers Anonymous while giving testimonials was strongly related (OR = 6.18) to satisfaction with the program. The findings of this study contribute to the literature on Gamblers Anonymous. In particular, that members derive great satisfaction from the program and see it as a way to strengthen their abstinence goals. However, despite high satisfaction, the results also suggest that most members were passively involved in the program. More research that assesses the effectiveness of Gamblers Anonymous as either a stand-alone or adjunct treatment is needed.

Artificial Neural Network Models for Long Lead Streamflow Forecasts using Climate Information

NASA Astrophysics Data System (ADS)

Kumar, J.; Devineni, N.

2007-12-01

Information on season ahead stream flow forecasts is very beneficial for the operation and management of water supply systems. Daily streamflow conditions at any particular reservoir primarily depend on atmospheric and land surface conditions including the soil moisture and snow pack. On the other hand recent studies suggest that developing long lead streamflow forecasts (3 months ahead) typically depends on exogenous climatic conditions particularly Sea Surface Temperature conditions (SST) in the tropical oceans. Examples of some oceanic variables are El Nino Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). Identification of such conditions that influence the moisture transport into a given basin poses many challenges given the nonlinear dependency between the predictors (SST) and predictand (stream flows). In this study, we apply both linear and nonlinear dependency measures to identify the predictors that influence the winter flows into the Neuse basin. The predictor identification approach here adopted uses simple correlation coefficients to spearman rank correlation measures for detecting nonlinear dependency. All these dependency measures are employed with a lag 3 time series of the high flow season (January - February - March) using 75 years (1928-2002) of stream flows recorded in to the Falls Lake, Neuse River Basin. Developing streamflow forecasts contingent on these exogenous predictors will play an important role towards improved water supply planning and management. Recently, the soft computing techniques, such as artificial neural networks (ANNs) have provided an alternative method to solve complex problems efficiently. ANNs are data driven models which trains on the examples given to it. The ANNs functions as universal approximators and are non linear in nature. This paper presents a study aiming towards using climatic predictors for 3 month lead time streamflow forecast. ANN models representing the physical process of the system are developed between the identified predictors and the predictand. Predictors used are the scores of Principal Components Analysis (PCA). The models were tested and validated. The feed- forward multi-layer perceptron (MLP) type neural networks trained using the back-propagation algorithms are employed in the current study. The performance of the ANN-model forecasts are evaluated using various performance evaluation measures such as correlation coefficient, root mean square error (RMSE). The preliminary results shows that ANNs are efficient to forecast long lead time streamflows using climatic predictors.

Pulmonary and Critical Care In-Service Training Examination Score as a Predictor of Board Certification Examination Performance.

PubMed

Kempainen, Robert R; Hess, Brian J; Addrizzo-Harris, Doreen J; Schaad, Douglas C; Scott, Craig S; Carlin, Brian W; Shaw, Robert C; Duhigg, Lauren; Lipner, Rebecca S

2016-04-01

Most trainees in combined pulmonary and critical care medicine fellowship programs complete in-service training examinations (ITEs) that test knowledge in both disciplines. Whether ITE scores predict performance on the American Board of Internal Medicine Pulmonary Disease Certification Examination and Critical Care Medicine Certification Examination is unknown. To determine whether pulmonary and critical care medicine ITE scores predict performance on subspecialty board certification examinations independently of trainee demographics, program director competency ratings, fellowship program characteristics, and prior medical knowledge assessments. First- and second-year fellows who were enrolled in the study between 2008 and 2012 completed a questionnaire encompassing demographics and fellowship training characteristics. These data and ITE scores were matched to fellows' subsequent scores on subspecialty certification examinations, program director ratings, and previous scores on their American Board of Internal Medicine Internal Medicine Certification Examination. Multiple linear regression and logistic regression were used to identify independent predictors of subspecialty certification examination scores and likelihood of passing the examinations, respectively. Of eligible fellows, 82.4% enrolled in the study. The ITE score for second-year fellows was matched to their certification examination scores, which yielded 1,484 physicians for pulmonary disease and 1,331 for critical care medicine. Second-year fellows' ITE scores (β = 0.24, P < 0.001) and Internal Medicine Certification Examination scores (β = 0.49, P < 0.001) were the strongest predictors of Pulmonary Disease Certification Examination scores, and were the only significant predictors of passing the examination (ITE odds ratio, 1.12 [95% confidence interval, 1.07-1.16]; Internal Medicine Certification Examination odds ratio, 1.01 [95% confidence interval, 1.01-1.02]). Similar results were obtained for predicting Critical Care Medicine Certification Examination scores and for passing the examination. The predictive value of ITE scores among first-year fellows on the subspecialty certification examinations was comparable to second-year fellows' ITE scores. The Pulmonary and Critical Care Medicine ITE score is an independent, and stronger, predictor of subspecialty certification examination performance than fellow demographics, program director competency ratings, and fellowship characteristics. These findings support the use of the ITE to identify the learning needs of fellows as they work toward subspecialty board certification.

The Intersections of Living-Learning Programs and Social Identity as Factors of Academic Achievement and Intellectual Engagement

ERIC Educational Resources Information Center

Pasque, Penny A.; Murphy, Rena

2005-01-01

Findings from this study show that living-learning (LL) programs at a research institution in the Midwest have a series of positive outcomes for both academic achievement and intellectual engagement. Controlling for past academic achievement, socioeconomic status, and demographic characteristics, LL programs are predictors, albeit small…

Faculty Salary as a Predictor of Student Outgoing Salaries from MBA Programs

ERIC Educational Resources Information Center

Hamlen, Karla R.; Hamlen, William A.

2016-01-01

The authors' purpose was to investigate the predictive value of faculty salaries on outgoing salaries of master of business administration (MBA) students when controlling for other student and program variables. Data were collected on 976 MBA programs using Barron's "Guide to Graduate Business Schools" over the years 1988-2005 and the…

Attendance at Health Promotion Programs: Baseline Predictors and Program Outcomes.

ERIC Educational Resources Information Center

Atkins, Catherine J.; And Others

1990-01-01

As part of a family cardiovascular health promotion project, 111 Mexican-American and 95 Anglo-American families with fifth or sixth grade children were assigned to either a primary prevention program involving 18 sessions or to a control condition. Correlates of attendance were low baseline scores on physical activity and cardiovascular fitness…

Evaluating Predictors of Program Attrition among Women Mandated into Batterer Intervention Treatment

ERIC Educational Resources Information Center

Buttell, Frederick P.; Powers, Dolores; Wong, Asia

2012-01-01

Objective: The purpose of the present study was to evaluate pretreatment differences between treatment completers and dropouts among a large sample of women ordered into a 26-week batterer intervention program (BIP). Method: The study employed a nonequivalent, control-group design (comparing program completers to dropouts) in a secondary analysis…

Impact of work pressure, work stress and work-family conflict on firefighter burnout.

PubMed

Smith, Todd D; DeJoy, David M; Dyal, Mari-Amanda Aimee; Huang, Gaojian

2017-10-25

Little research has explored burnout and its causes in the American fire service. Data were collected from career firefighters in the southeastern United States (n = 208) to explore these relationships. A hierarchical regression model was tested to examine predictors of burnout including sociodemographic characteristics (model 1), work pressure (model 2), work stress and work-family conflict (model 3) and interaction terms (model 4). The main findings suggest that perceived work stress and work-family conflict emerged as the significant predictors of burnout (both p < .001). Interventions and programs aimed at these predictors could potentially curtail burnout among firefighters.

Impact of education and training on type of care provided by community-based breastfeeding counselors: a cross-sectional study

PubMed Central

2011-01-01

Background Studies using community-based breastfeeding counselors (CBBCs) have repeatedly shown positive impact on breastfeeding initiation, exclusivity and duration, particularly among low-income mothers. To date, there has not been a comprehensive study to determine the impact of CBBC attributes such as educational background and training, on the type of care that CBBCs provide. Methods This was a cross-sectional study of a convenience sample of CBBCs to ascertain the influence of counselor education and type of training on type of support and proficiency of CBBCs in communities across the United States. Invitations to participate in this online survey of CBBCs were e-mailed to program coordinators of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), La Leche League, and other community-based health organizations, who in turn invited and encouraged their CBBCs to participate. Descriptive analysis was used to describe participants (N = 847), while bivariate analysis using χ2 test was used to examine the differences between CBBC education, training received and breastfeeding support skills used. Multivariate logistic regression was used to assess the independent determinants of specific breastfeeding support skills. Results The major findings from the research indicate that overall, educational attainment of CBBCs is not a significant predictor for the curriculum used in their training and type of support skills used during counseling sessions, but initial training duration was positively associated with the use of many breastfeeding support skills. Another major influence of counselor support to clients is the type of continuing education they receive after their initial training, with higher likelihood of use of desirable support skills associated with counselors continuing their breastfeeding education at conferences or trainings away from their job sites. Conclusions Our results show that different programs use different training curricula to train their CBBCs varying in duration and content. Counselor education is not a significant predictor of the type of training they receive. Continuing breastfeeding education is a significant determinant of type of counseling techniques used with clients. Further research is therefore needed to critically examine the content of the various training curricula of CBBC programs. This may show a need for a standardized training curriculum for all CBBC programs worldwide to make CBBCs more proficient and efficient, ensuring successful and optimum breastfeeding experiences for mothers and their newborns. PMID:21871062

Psychometric and demographic predictors of the perceived risk of terrorist threats and the willingness to pay for terrorism risk management programs.

PubMed

Mumpower, Jeryl L; Shi, Liu; Stoutenborough, James W; Vedlitz, Arnold

2013-10-01

A 2009 national telephone survey of 924 U.S. adults assessed perceptions of terrorism and homeland security issues. Respondents rated severity of effects, level of understanding, number affected, and likelihood of four terrorist threats: poisoned water supply; explosion of a small nuclear device in a major U.S. city; an airplane attack similar to 9/11; and explosion of a bomb in a building, train, subway, or highway. Respondents rated perceived risk and willingness to pay (WTP) for dealing with each threat. Demographic, attitudinal, and party affiliation data were collected. Respondents rated bomb as highest in perceived risk but gave the highest WTP ratings to nuclear device. For both perceived risk and WTP, psychometric variables were far stronger predictors than were demographic ones. OLS regression analyses using both types of variables to predict perceived risk found only two significant demographic predictors for any threat--Democrat (a negative predictor for bomb) and white male (a significant positive predictor for airline attack). In contrast, among psychometric variables, severity, number affected, and likelihood were predictors of all four threats and level of understanding was a predictor for one. For WTP, education was a negative predictor for three threats; no other demographic variables were significant predictors for any threat. Among psychometric variables, perceived risk and number affected were positive predictors of WTP for all four threats; severity and likelihood were predictors for three; level of understanding was a significant predictor for two. © 2013 Society for Risk Analysis.

Predicting nursing home placement among home- and community-based services program participants.

PubMed

Greiner, Melissa A; Qualls, Laura G; Iwata, Isao; White, Heidi K; Molony, Sheila L; Sullivan, M Terry; Burke, Bonnie; Schulman, Kevin A; Setoguchi, Soko

2014-12-01

Several states offer publicly funded-care management programs to prevent long-term care placement of high-risk Medicaid beneficiaries. Understanding participant risk factors and services that may prevent long-term care placement can facilitate efficient allocation of program resources. To develop a practical prediction model to identify participants in a home- and community-based services program who are at highest risk for long-term nursing home placement, and to examine participant-level and program-level predictors of nursing home placement. In a retrospective observational study, we used deidentified data for participants in the Connecticut Home Care Program for Elders who completed an annual assessment survey between 2005 and 2010. We analyzed data on patient characteristics, use of program services, and short-term facility admissions in the previous year. We used logistic regression models with random effects to predict nursing home placement. The main outcome measures were long-term nursing home placement within 180 days or 1 year of assessment. Among 10,975 study participants, 1249 (11.4%) had nursing home placement within 1 year of annual assessment. Risk factors included Alzheimer's disease (odds ratio [OR], 1.30; 95% CI, 1.18-1.43), money management dependency (OR, 1.33; 95% CI, 1.18-1.51), living alone (OR, 1.53; 95% CI, 1.31-1.80), and number of prior short-term skilled nursing facility stays (OR, 1.46; 95% CI, 1.31-1.62). Use of a personal care assistance service was associated with 46% lower odds of nursing home placement. The model C statistic was 0.76 in the validation cohort. A model using information from a home- and community-based service program had strong discrimination to predict risk of long-term nursing home placement and can be used to identify high-risk participants for targeted interventions.

Predictors of dropout in an outpatient treatment for problem drinkers including cognitive-behavioral therapy and the opioid antagonist naltrexone.

PubMed

Vuoristo-Myllys, Salla; Lahti, Jari; Alho, Hannu; Julkunen, Juhani

2013-11-01

This study investigated predictors of dropout in an outpatient treatment program for problem drinking that included individual cognitive-behavioral therapy combined with naltrexone. Specifically, we investigated whether sociodemographic factors, severity of alcohol dependence, history of problem drinking, or intensity of alcohol craving assessed at the beginning of the treatment predicted dropout from an outpatient program among a sample of 372 patients (65% male). We also investigated whether the effectiveness of the treatment (the change in alcohol consumption and symptoms of alcohol craving) or adherence to naltrexone was related to dropout. Predictors of dropout were investigated using an analysis of covariance with the number of attended treatment sessions as an independent variable. Our results demonstrated that the treatment entry factors predictive of dropout were younger age, lower severity of alcohol dependence, better ability to resist and control alcohol use, and lower obsession with alcohol. In addition, those who dropped out were more likely to begin the program by abstaining from alcohol and had lower adherence to naltrexone use than those who completed the program. The length of stay for treatment was not related to change in alcohol consumption. Patients with less severe alcohol-related problems may lack motivation for treatment, specifically cognitive-behavioral therapy and naltrexone. These patients may benefit more from less intensive treatments.

Principals' instructional management skills and middle school science teacher job satisfaction

NASA Astrophysics Data System (ADS)

Gibbs-Harper, Nzinga A.

The purpose of this research study was to determine if a relationship exists between teachers' perceptions of principals' instructional leadership behaviors and middle school teacher job satisfaction. Additionally, this study sought to assess whether principal's instructional leadership skills were predictors of middle school teachers' satisfaction with work itself. This study drew from 13 middle schools in an urban Mississippi school district. Participants included teachers who taught science. Each teacher was given the Principal Instructional Management Rating Scale (PIMRS; Hallinger, 2011) and the Teacher Job Satisfaction Questionnaire (TJSQ; Lester, 1987) to answer the research questions. The study was guided by two research questions: (a) Is there a relationship between the independent variables Defining the School's Mission, Managing the Instructional Program, and Developing the School Learning Climate Program and the dependent variable Work Itself?; (b) Are Defining the School's Mission, Managing the Instructional Program, and Developing the School Learning Climate Program predictors of Work Itself? The Pearson's correlation and multiple regression analysis were utilized to examine the relationship between the three dimensions of principals' instructional leadership and teacher satisfaction with work itself. The data revealed that there was a strong, positive correlation between all three dimensions of principals' instructional leadership and teacher satisfaction with work itself. However, the multiple regression analysis determined that teachers' perceptions of principals' instructional management skills is a slight predictor of Defining the School's Mission only.

Efficient compression of molecular dynamics trajectory files.

PubMed

Marais, Patrick; Kenwood, Julian; Smith, Keegan Carruthers; Kuttel, Michelle M; Gain, James

2012-10-15

We investigate whether specific properties of molecular dynamics trajectory files can be exploited to achieve effective file compression. We explore two classes of lossy, quantized compression scheme: "interframe" predictors, which exploit temporal coherence between successive frames in a simulation, and more complex "intraframe" schemes, which compress each frame independently. Our interframe predictors are fast, memory-efficient and well suited to on-the-fly compression of massive simulation data sets, and significantly outperform the benchmark BZip2 application. Our schemes are configurable: atomic positional accuracy can be sacrificed to achieve greater compression. For high fidelity compression, our linear interframe predictor gives the best results at very little computational cost: at moderate levels of approximation (12-bit quantization, maximum error ≈ 10(-2) Å), we can compress a 1-2 fs trajectory file to 5-8% of its original size. For 200 fs time steps-typically used in fine grained water diffusion experiments-we can compress files to ~25% of their input size, still substantially better than BZip2. While compression performance degrades with high levels of quantization, the simulation error is typically much greater than the associated approximation error in such cases. Copyright © 2012 Wiley Periodicals, Inc.

Oxygen Uptake Efficiency Plateau Best Predicts Early Death in Heart Failure

PubMed Central

Hansen, James E.; Stringer, William W.

2012-01-01

Background: The responses of oxygen uptake efficiency (ie, oxygen uptake/ventilation = V˙o2/V˙e) and its highest plateau (OUEP) during incremental cardiopulmonary exercise testing (CPET) in patients with chronic left heart failure (HF) have not been previously reported. We planned to test the hypothesis that OUEP during CPET is the best single predictor of early death in HF. Methods: We evaluated OUEP, slope of V˙o2 to log(V˙e) (oxygen uptake efficiency slope), oscillatory breathing, and all usual resting and CPET measurements in 508 patients with low-ejection-fraction (< 35%) HF. Each had further evaluations at other sites, including cardiac catheterization. Outcomes were 6-month all-reason mortality and morbidity (death or > 24 h cardiac hospitalization). Statistical analyses included area under curve of receiver operating characteristics, ORs, univariate and multivariate Cox regression, and Kaplan-Meier plots. Results: OUEP, which requires only moderate exercise, was often reduced in patients with HF. A low % predicted OUEP was the single best predictor of mortality (P < .0001), with an OR of 13.0 (P < .001). When combined with oscillatory breathing, the OR increased to 56.3, superior to all other resting or exercise parameters or combinations of parameters. Other statistical analyses and morbidity analysis confirmed those findings. Conclusions: OUEP is often reduced in patients with HF. Low % predicted OUEP (< 65% predicted) is the single best predictor of early death, better than any other CPET or other cardiovascular measurement. Paired with oscillatory breathing, it is even more powerful. PMID:22030802

Predictors of Improvement in Critical Thinking Skills among Nursing Students in an Online Graduate Nursing Research Course

ERIC Educational Resources Information Center

Riccio, Patricia A.

2015-01-01

The purpose of this pilot study was to examine predictors of improvement in critical thinking skills among online graduate nursing students in a graduate nursing research course. Thirty-five students who had taken an online Nursing research course within the prior 12 months and who were currently enrolled in the online graduate Nursing program at…

Effective Teaching Factors and Student Reading Strategies as Predictors of Student Achievement in PISA 2009: The Case of China and the United States

ERIC Educational Resources Information Center

Meng, Lingqi; Muñoz, Marco; King Hess, Kristin; Liu, Shujie

2017-01-01

This study investigated effective teaching factors and student reading strategies as predictors of student reading achievement in the United States and China. Participants were 10,348 students in the 2009 Program for International Student Assessment (PISA) study, 5115 from China and 5233 from the United States. Exploratory factor analysis (EFA)…

The ins and outs of an online bipolar education program: a study of program attrition.

PubMed

Nicholas, Jennifer; Proudfoot, Judith; Parker, Gordon; Gillis, Inika; Burckhardt, Rowan; Manicavasagar, Vijaya; Smith, Meg

2010-12-19

The science of eHealth interventions is rapidly evolving. However, despite positive outcomes, evaluations of eHealth applications have thus far failed to explain the high attrition rates that are associated with some eHealth programs. Patient adherence remains an issue, and the science of attrition is still in its infancy. To our knowledge, there has been no in-depth qualitative study aimed at identifying the reasons for nonadherence to-and attrition from- online interventions. This paper explores the predictors of attrition and participant-reported reasons for nonadherence to an online psycho-education program for people newly diagnosed with a bipolar disorder. As part of an ongoing randomized controlled trial (RCT) evaluating an online psycho-education program for people newly diagnosed with a bipolar disorder, we undertook an in-depth qualitative study to identify participants' reasons for nonadherence to, and attrition from, the online intervention as well as a quantitative study investigating predictors of attrition. Within the RCT, 370 participants were randomly allocated to 1 of 2 active interventions or an attention control condition. Descriptive analyses and chi-square tests were used to explore the completion rates of 358 participants, and standard regression analysis was used to identify predictors of attrition. The data from interviews with a subsample of 39 participants who did not complete the online program were analyzed using "thematic analysis" to identify patterns in reported reasons for attrition. Overall, 26.5% of the sample did not complete their assigned intervention. Standard multiple regression analysis revealed that young age (P= .004), male gender (P= .001), and clinical recruitment setting (P= .001) were significant predictors of attrition (F(7,330)= 8.08, P< .001). Thematic analysis of interview data from the noncompleter subsample revealed that difficulties associated with the acute phases of bipolar disorder, not wanting to think about one's illness, and program factors such as the information being too general and not personally tailored were the major reasons for nonadherence. The dropout rate was equivalent to other Internet interventions and to face-to-face therapy. Findings from our qualitative study provide participant-reported reasons for discontinuing the online intervention, which, in conjunction with the quantitative investigations about predictors, add to understanding about Internet interventions. However, further research is needed to determine whether there are systematic differences between those who complete and those who do not complete eHealth interventions. Ultimately, this may lead to the identification of population subgroups that most benefit from eHealth interventions and to informing the development of strategies to improve adherence. ACTRN12608000411347; http://www.anzctr.org.au/ACTRN12608000411347.aspx (Archived by WebCite at http://www.webcitation.org/5uX4uYwVN).

LDRD final report on massively-parallel linear programming : the parPCx system.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Parekh, Ojas; Phillips, Cynthia Ann; Boman, Erik Gunnar

2005-02-01

This report summarizes the research and development performed from October 2002 to September 2004 at Sandia National Laboratories under the Laboratory-Directed Research and Development (LDRD) project ''Massively-Parallel Linear Programming''. We developed a linear programming (LP) solver designed to use a large number of processors. LP is the optimization of a linear objective function subject to linear constraints. Companies and universities have expended huge efforts over decades to produce fast, stable serial LP solvers. Previous parallel codes run on shared-memory systems and have little or no distribution of the constraint matrix. We have seen no reports of general LP solver runsmore » on large numbers of processors. Our parallel LP code is based on an efficient serial implementation of Mehrotra's interior-point predictor-corrector algorithm (PCx). The computational core of this algorithm is the assembly and solution of a sparse linear system. We have substantially rewritten the PCx code and based it on Trilinos, the parallel linear algebra library developed at Sandia. Our interior-point method can use either direct or iterative solvers for the linear system. To achieve a good parallel data distribution of the constraint matrix, we use a (pre-release) version of a hypergraph partitioner from the Zoltan partitioning library. We describe the design and implementation of our new LP solver called parPCx and give preliminary computational results. We summarize a number of issues related to efficient parallel solution of LPs with interior-point methods including data distribution, numerical stability, and solving the core linear system using both direct and iterative methods. We describe a number of applications of LP specific to US Department of Energy mission areas and we summarize our efforts to integrate parPCx (and parallel LP solvers in general) into Sandia's massively-parallel integer programming solver PICO (Parallel Interger and Combinatorial Optimizer). We conclude with directions for long-term future algorithmic research and for near-term development that could improve the performance of parPCx.« less

A Cross-Lag Panel Analysis of Low Self-Esteem as a Predictor of Adolescent Internalizing Symptoms in a Prospective Longitudinal Study.

PubMed

In-Albon, Tina; Meyer, Andrea H; Metzke, Christa Winkler; Steinhausen, Hans-Christoph

2017-06-01

Self-esteem, generally regarded as an important indicator of adolescents' mental health, was assessed by a self-report questionnaire in a school sample of 593 subjects who had been assessed at 3 time points over 7 years between 11 and 25 years of age within the Zurich Psychology and Psychopathology Study (ZAPPS). Cross-lagged panel analyses of the longitudinal data from ZAPPS indicated that self-esteem was predictive of internalizing problems and had an impact on internalizing symptoms when the analyses were adjusted for coping behavior, efficiency of social networks, and impact of stressful life events. Self-esteem was also stable (r = .37-.60) within the observed age range, after controlling for prior levels of the predicted variables. The findings support the impact of self-esteem on mental health and indicate the importance of addressing self-esteem in prevention and intervention programs.

Predictors of Human Papillomavirus Vaccine Initiation and Completion Among Latino Mothers of 11- to 17-Year-Old Daughters Living Along the Texas-Mexico Border.

PubMed

Morales-Campos, Daisy Y; Parra-Medina, Deborah

Few Texas Latino girls initiate and complete the human papillomavirus (HPV) vaccine series, but few studies have examined predictors of initiation and completion in this group. Mothers are crucial to vaccine uptake. Using self-reported data from mothers of unvaccinated girls (n = 317), we examined the association between predictors (HPV and HPV vaccine knowledge, vaccine self-efficacy) and outcomes (initiation and completion). Despite an increase in HPV and HPV vaccine knowledge from baseline to follow-up (n = 195), we found no association between the predictors and the outcomes. Findings showed that health insurance status and study group participation (Entre Madre e Hija program or brochure only) were associated with initiation and completion.

[Predictors of Resilience in Adolescents with Leukemia].

PubMed

Hong, Sung Sil; Park, Ho Ran

2015-08-01

The purpose of this study was to identify the factors relating to resilience for adolescents with leukemia and examine the relationship between these factors. From June to September in 2014, 199 adolescents aged 11 to 21 participated in the study as they visited the out-patient clinic at C university hospital for follow-up care. To verify the predictors and the effects of resilience, uncertainty, symptom distress, perceived social support, spiritual perspective, defensive coping, courageous coping, hope, and self-transcendence were measured. Collected data were analyzed using hierarchical regression analysis with the SAS statistics program. The final regression model showed that courageous coping, hope, and self-transcendence were significant predictors related to resilience in adolescents with leukemia and explained for 63% of the variance in resilience. The findings indicate that adolescent-oriented intervention programs enhancing courageous coping, hope, and self-transcendence should be provide for adolescents with leukemia in order to overcome illness-related stress and support physical, psychological and social adjustment.

Athletic Training Program Commitment: Four-Year Longitudinal Analysis of Behavioral Outcomes

ERIC Educational Resources Information Center

Weiss, Windee M.; Neibert, Peter J.

2016-01-01

Context: Changes in commitment and the predictors of commitment to an athletic training program (ATP) across the academic 4-year program is important for facilitating students' continued success in ATPs and on the Board of Certification (BOC) exam. Objective: The purpose of this study was 2-fold: (1) examine changes in 1 cohort's perceptions of…

Are Parental Gender Role Beliefs a Predictor of Change in Sexual Communication in a Prevention Program?

ERIC Educational Resources Information Center

Gale McKee, Laura; Forehand, Rex; Miller, Kim S.; Whitaker, Daniel J.; Long, Nicholas; Armistead, Lisa

2007-01-01

This study examined if pre-intervention maternal gender role beliefs predict change in sexual communication in a sexual risk behavior prevention program designed to increase parent--pre-adolescent communication about sex. A sample of 281 African American fourth and fifth graders and their mothers participated in the five-session program and…

Parent Involvement, Parental Depression, and Program Satisfaction among Low-Income Parents Participating in a Two-Generation Early Childhood Education Program

ERIC Educational Resources Information Center

LaForett, Dore R.; Mendez, Julia L.

2010-01-01

Research Findings: This study simultaneously examined parental depression and parent involvement as predictors of satisfaction with an early childhood intervention program. Parents (N = 203) of Head Start children participated in this short-term longitudinal study. Measures of parent involvement and satisfaction assessed multiple dimensions of…

Factors in the Admissions Process Influencing Persistence in a Master's of Science Program in Marine Science

ERIC Educational Resources Information Center

Dore, Melissa L.

2017-01-01

This applied dissertation was conducted to provide the graduate program in marine sciences a valid predictor for success in the admissions scoring systems that include the general Graduate Record Exam. The dependent variable was persistence: successfully graduating from the marine sciences master's programs. This dissertation evaluated other…

Academic and Nonacademic Characteristics as Predictors of Persistence in an Associate Degree Nursing Program. AIR Forum 1981 Paper.

ERIC Educational Resources Information Center

Donsky, Aaron P.; Judge, Albert J., Jr.

Academic and nonacademic variables that may predict persistence in the nursing program at Lakeland Community College, Ohio, were studied. The academic variables included American College Testing program standard scores, National League for Nursing (NLN) rank scores, high school grade point average, and previous college grade point average. The…

Elementary School-Wide Implementation of a Blended Learning Program for Reading Intervention

ERIC Educational Resources Information Center

Prescott, Jen Elise; Bundschuh, Kristine; Kazakoff, Elizabeth R.; Macaruso, Paul

2018-01-01

The authors examined the implementation of a blended learning program for literacy instruction across kindergarten through Grade 5 in a Title I urban elementary school, including a population of students (18%) who are English learners. Student progress in the online component of the blended learning program was a significant predictor of growth in…

Influence of Psychological Empowerment on Organizational Commitment among Medical Employees in a Hospital Setting.

PubMed

Kebriaei, A; Rakhshaninejad, M; Mohseni, M

2014-12-01

People within organizations are a key factor for efficiency. Thus employee empowerment has become a popular management strategy. The study aimed to investigate the relationship between psychological empowerment and organizational commitment among medical staff of a hospital in Zahedan city. This cross sectional study was carried out in 2013. A random sample of 172 medical employees in Khatam-ol-Anbia hospital at Zahedan city was selected and responded to items of the questionnaires using a 7-point Likert scale ranging from 1 to 7. For measuring psychological empowerment and organizational commitment, Mishra & Spreitzer's scale and Meyer and Allen's questionnaire were used. A higher score means a higher degree of psychological empowerment or organizational commitment. Analysis was carried out using SPSS. The level of organizational commitment and psychological empowerment significantly were higher than average. There was a significant positive relationship between employees' empowerment and their commitment to organization. Psychological empowerment was a significant predictor of organizational commitment (β = .524). Out of the five dimensions of empowerment three dimensions are significant predictors of commitment and explain 37.1% of the variance in commitment. Due to The positive influence of psychological empowerment on organizational commitment, programs for in-service education should focus on facilitating psychological empowerment to improve and increase organizational commitment. Also, since impact of employees psychological empowerment on organizational commitment partially supported, there are other variables that influence the organizational commitment.

Community-based health information technology alliances: potential predictors of early sustainability.

PubMed

Kern, Lisa M; Wilcox, Adam B; Shapiro, Jason; Yoon-Flannery, Kahyun; Abramson, Erika; Barron, Yolanda; Kaushal, Rainu

2011-04-01

To determine potential predictors of sustainability among community-based organizations that are implementing health information technology (HIT) with health information exchange, in a state with significant funding of such organizations. A longitudinal cohort study of community-based organizations funded through the first phase of the $440 million Healthcare Efficiency and Affordability Law for New Yorkers program. We administered a baseline telephone survey in January and February 2007, using a novel instrument with open-ended questions, and collected follow-up data from the New York State Department of Health regarding subsequent funding awarded in March 2008. We used logistic regression to determine associations between 18 organizational characteristics and subsequent funding. All 26 organizations (100%) responded. Having the alliance led by a health information organization (odds ratio [OR] 11.4, P = .01) and having performed a community-based needs assessment (OR 5.1, P = .08) increased the unadjusted odds of subsequent funding. Having the intervention target the long-term care setting (OR 0.14, P = .03) decreased the unadjusted odds of subsequent funding. In the multivariate model, having the alliance led by a health information organization, rather than a healthcare organization, increased the odds of subsequent funding (adjusted OR 6.4; 95% confidence interval 0.8, 52.6; P = .08). Results from this longitudinal study suggest that both health information organizations and healthcare organizations are needed for sustainable HIT transformation.

Interactions between Energy Efficiency Programs funded under the Recovery Act and Utility Customer-Funded Energy Efficiency Programs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Goldman, Charles A.; Stuart, Elizabeth; Hoffman, Ian

2011-02-25

Since the spring of 2009, billions of federal dollars have been allocated to state and local governments as grants for energy efficiency and renewable energy projects and programs. The scale of this American Reinvestment and Recovery Act (ARRA) funding, focused on 'shovel-ready' projects to create and retain jobs, is unprecedented. Thousands of newly funded players - cities, counties, states, and tribes - and thousands of programs and projects are entering the existing landscape of energy efficiency programs for the first time or expanding their reach. The nation's experience base with energy efficiency is growing enormously, fed by federal dollars andmore » driven by broader objectives than saving energy alone. State and local officials made countless choices in developing portfolios of ARRA-funded energy efficiency programs and deciding how their programs would relate to existing efficiency programs funded by utility customers. Those choices are worth examining as bellwethers of a future world where there may be multiple program administrators and funding sources in many states. What are the opportunities and challenges of this new environment? What short- and long-term impacts will this large, infusion of funds have on utility customer-funded programs; for example, on infrastructure for delivering energy efficiency services or on customer willingness to invest in energy efficiency? To what extent has the attribution of energy savings been a critical issue, especially where administrators of utility customer-funded energy efficiency programs have performance or shareholder incentives? Do the new ARRA-funded energy efficiency programs provide insights on roles or activities that are particularly well-suited to state and local program administrators vs. administrators or implementers of utility customer-funded programs? The answers could have important implications for the future of U.S. energy efficiency. This report focuses on a selected set of ARRA-funded energy efficiency programs administered by state energy offices: the State Energy Program (SEP) formula grants, the portion of Energy Efficiency and Conservation Block Grant (EECBG) formula funds administered directly by states, and the State Energy Efficient Appliance Rebate Program (SEEARP). Since these ARRA programs devote significant monies to energy efficiency and serve similar markets as utility customer-funded programs, there are frequent interactions between programs. We exclude the DOE low-income weatherization program and EECBG funding awarded directly to the over 2,200 cities, counties and tribes from our study to keep its scope manageable. We summarize the energy efficiency program design and funding choices made by the 50 state energy offices, 5 territories and the District of Columbia. We then focus on the specific choices made in 12 case study states. These states were selected based on the level of utility customer program funding, diversity of program administrator models, and geographic diversity. Based on interviews with more than 80 energy efficiency actors in those 12 states, we draw observations about states strategies for use of Recovery Act funds. We examine interactions between ARRA programs and utility customer-funded energy efficiency programs in terms of program planning, program design and implementation, policy issues, and potential long-term impacts. We consider how the existing regulatory policy framework and energy efficiency programs in these 12 states may have impacted development of these selected ARRA programs. Finally, we summarize key trends and highlight issues that evaluators of these ARRA programs may want to examine in more depth in their process and impact evaluations.« less

Perceived Difficulty Quitting Predicts Enrollment in a Smoking-Cessation Program for Patients With Head and Neck Cancer

PubMed Central

Duffy, Sonia A.; Scheumann, Angela L.; Fowler, Karen E.; Darling-Fisher, Cynthia; Terrell, Jeffrey E.

2013-01-01

Purpose/Objectives To determine the predictors of participation in a smoking-cessation program among patients with head and neck cancer. Design This cross-sectional study is a substudy of a larger, randomized trial of patients with head and neck cancer that determined the predictors of smokers’ participation in a cessation intervention. Setting Otolaryngology clinics at three Veterans Affairs medical centers (Ann Arbor, MI, Gainesville, FL, and Dallas, TX), and the University of Michigan Hospital in Ann Arbor. Sample 286 patients who had smoked within six months of the screening survey were eligible for a smoking-cessation intervention. Methods Descriptive statistics and bivariate and multivariate logistic regression were used to determine the independent predictors of smokers’ participation in an intervention study. Main Research Variables Perceived difficulty quitting (as a construct of self-efficacy), health behaviors (i.e., smoking and problem drinking), clinical characteristics (i.e., depression and cancer site and stage), and demographic variables. Findings Forty-eight percent of those eligible participated. High perceived difficulty quitting was the only statistically significant predictor of participation, whereas problem drinking, lower depressive symptoms, and laryngeal cancer site approached significance. Conclusions Special outreach may be needed to reach patients with head and neck cancer who are overly confident in quitting, problem drinkers, and patients with laryngeal cancer. Implications for Nursing Oncology nurses are in an opportune position to assess patients’ perceived difficulty quitting smoking and motivate them to enroll in cessation programs, ultimately improving quality of life, reducing risk of recurrence, and increasing survival for this population. PMID:20439219

Long-term prevalence and predictors of urinary incontinence among women in the Diabetes Prevention Program Outcomes Study.

PubMed

Phelan, Suzanne; Kanaya, Alka M; Ma, Yong; Vittinghoff, Eric; Barrett-Connor, Elizabeth; Wing, Rena; Kusek, John W; Orchard, Trevor J; Crandall, Jill P; Montez, Maria G; Brown, Jeanette S

2015-02-01

To examine the long-term prevalence and predictors of weekly urinary incontinence in the Diabetes Prevention Program Outcomes Study, a follow-up study of the Diabetes Prevention Program randomized clinical trial of overweight adults with impaired glucose tolerance. This analysis included 1778 female participants of the Diabetes Prevention Program Outcomes Study who had been randomly assigned during the Diabetes Prevention Program to intensive lifestyle intervention (n = 582), metformin (n = 589) or placebo (n = 607). The study participants completed semi-annual assessments after the final Diabetes Prevention Program visit and for 6 years until October 2008. At the study entry, the prevalence of weekly urinary incontinence was lower in the intensive lifestyle intervention group compared with the metformin and placebo groups (44.2% vs 51.8%, 48.0% urinary incontinence/week, P = 0.04); during the 6-year follow-up period, these lower rates in intensive lifestyle intervention were maintained (46.7%, 53.1%, 49.9% urinary incontinence/week; P = 0.03). Statistically adjusting for urinary incontinence prevalence at the end of the Diabetes Prevention Program, the treatment arm no longer had a significant impact on urinary incontinence during the Diabetes Prevention Program Outcomes Study. Independent predictors of lower urinary incontinence during the Diabetes Prevention Program Outcomes Study included lower body mass index (odds ratio 0.988, 95% confidence interval 0.982-0.994) and greater physical activity (odds ratio 0.999, 95% confidence interval 0.998-1.000) at the Diabetes Prevention Program Outcomes Study entry, and greater reductions in body mass index (odds ratio 0.75, 95% confidence interval 0.60-0.94) and waist circumference (odds ratio 0.998, 95% confidence interval 0.996-1.0) during the Diabetes Prevention Program Outcomes Study. Diabetes was not significantly related to urinary incontinence. Intensive lifestyle intervention has a modest positive and enduring impact on urinary incontinence, and should be considered for the long-term prevention and treatment of urinary incontinence in overweight/obese women with glucose intolerance. © 2014 The Japanese Urological Association.

Use of Admission Criteria to Predict Performance of Students in an Entry-Level Master's Program on Fieldwork Placements and in Academic Courses.

PubMed

Kirchner, G L; Stone, R G; Holm, M B

2001-01-01

The relationships among clinical outcomes, academic success, and predictors used to screen applicants for entrance into a Master in Occupational Therapy Program (MOT) were examined. The dependent variables were grade point average in occupational therapy courses (OT-GPA), client therapy outcomes at the clinic, and ratings of MOT students by Level II Fieldwork supervisors. Predictor variables included undergraduate GPA, scores on the Graduate Record Examination (GRE), and an essay. Both undergraduate GPA and scores on the GRE were found to predict OT-GPA. The analytical section of the GRE was also positively correlated with fieldwork supervisors' ratings of students.

Prevalence and Predictors of Food Insecurity among People Living with HIV Enrolled in Antiretroviral Therapy and Livelihood Programs in Two Rural Zambian Hospitals

PubMed Central

Masa, Rainier; Chowa, Gina; Nyirenda, Victor

2018-01-01

The objective of this study was to examine the prevalence and predictors of food insecurity among people living with HIV (PLHIV) in two rural communities in Zambia. A cross-sectional sample of 101 PLHIV was surveyed using the Household Food Insecurity Access Scale. In multivariable linear regression models, income, household possessions, and perceived coping strategies were significantly associated with decreased food insecurity. Debt and perceived mental distress were significantly associated with increased food insecurity. Programs that tackle economic disadvantage and its adverse effect on stress may be an appropriate strategy to improve food security of PLHIV in low-resource communities. PMID:28418728

Employment Outcomes from Secondary School Programs.

ERIC Educational Resources Information Center

Schalock, Robert L.

1986-01-01

Study of mentally handicapped secondary school students (N=108) participating in a community-based job training and placement model indicated that family involvement, hours in vocational programing, and teacher's experience were among predictor variables for employment success. The Individual Transition Plan and financial incentives will further…

International Student Perspectives on Graduate Advising Relationships

ERIC Educational Resources Information Center

Rice, Kenneth G.; Choi, Chun-Chung; Zhang, Yanmei; Ye, Huan Jacqueline; Nesic, Aleksandra; Bigler, Monica; Anderson, Debra; Villegas, Jorge

2009-01-01

International graduate students experience a number of unique challenges as they transition through their training programs. Surprisingly, relatively little research has been conducted on perhaps one of the most crucial predictors of international students' retention and success within their graduate programs: the advising relationship. Using a…

Predictors of Premature Match Closure in Youth Mentoring Relationships.

PubMed

Kupersmidt, Janis B; Stump, Kathryn N; Stelter, Rebecca L; Rhodes, Jean E

2017-03-01

Although mentoring is a popular and effective means of intervention with youth, the positive effects of mentoring can be diminished by premature match closure of relationships. Program, mentor, and mentee characteristics were examined as predictors of premature match closure. Secondary data analyses were conducted on a large national database of mentoring programs consisting of match and youth risk information from 170 mentoring programs and 6468 matches from across the U.S. Premature closure was associated with mentee age at match inception and 19 individual mentee characteristics. The set of mentee characteristics were examined as part of a cumulative risk index encompassing seven conceptually combined categories including family background characteristics, school functioning problems, engagement in risky health behaviors, self-regulation difficulties, engagement in illegal or criminal activities, and internalizing and externalizing behavior problems. Both the age of mentees when matched and the cumulative risk index score significantly predicted premature closure. Results are discussed in terms of directions for future research and suggestions for enhancing mentoring program practices. © Society for Community Research and Action 2017.

Predictors of Acquisition of Competitive Employment for People Enrolled in Supported Employment Programs.

PubMed

Corbière, Marc; Lecomte, Tania; Reinharz, Daniel; Kirsh, Bonnie; Goering, Paula; Menear, Matthew; Berbiche, Djamal; Genest, Karine; Goldner, Elliot M

2017-04-01

This study aims at assessing the relative contribution of employment specialist competencies working in supported employment (SE) programs and client variables in determining the likelihood of obtaining competitive employment. A total of 489 persons with a severe mental illness and 97 employment specialists working in 24 SE programs across three Canadian provinces were included in the study. Overall, 43% of the sample obtained competitive work. Both client variables and employment specialist competencies, while controlling for the quality of SE programs implementation, predicted job acquisition. Multilevel analyses further indicated that younger client age, shorter duration of unemployment, and client use of job search strategies, as well as the working alliance perceived by the employment specialist, were the strongest predictors of competitive employment for people with severe mental illness, with 51% of variance explained. For people with severe mental illness seeking employment, active job search behaviors, relational abilities, and employment specialist competencies are central contributors to acquisition of competitive employment.

Identifying the Value of the ACT Score as a Predictor of Student Success in Respiratory Care, Radiography, and Nursing at Southeast Kentucky Community and Technical College

ERIC Educational Resources Information Center

Parrott-Robbins, Rebecca Jon

2010-01-01

The purpose of this study was to investigate--by utilizing data obtained from the Kentucky Community and Technical College System (KCTCS) PeopleSoft database-- whether the American College Testing (ACT) assessment was a predictor of student success for students who had graduated from respiratory, radiography, and nursing programs at Southeast…

Predicting the In-Hospital Responsiveness to Treatment of Alcoholics. Social Factors as Predictors of Outcome. Brain Damage as a Factor in Treatment Outcome of Chronic Alcoholic Patients.

ERIC Educational Resources Information Center

Mascia, George V.; And Others

The authors attempt to locate predictor variables associated with the outcome of alcoholic treatment programs. Muscia's study focuses on the predictive potential of: (1) response to a GSR conditioning procedure; (2) several personality variables; and (3) age and IQ measures. Nine variables, reflecting diverse perspectives, were selected as a basis…

Impact of Excellence in Armor Program on Soldier Performance in One Station Unit Training

DTIC Science & Technology

1988-12-01

soldiers and 83 NT soldiers matched on cognitive and psychomotor abilities. ASVAB and Project Alpha predictor batter (PAPB) performance data were...34(Continued) administered to 83 ET soldiers and 83 NT soldiers matched on cognitive and psychomotor abilities. ASVAB and Project A predictor battery...loading, driving, or gunnery performance on the basis of cognitive , perceptual, psychomotor, or biodata measures. This past research is germane to

Predictive importance of anthropometric and training data in recreational male Ironman triathletes and marathon runners: comment on the study by Gianoli, et al. (2012).

PubMed

Burtscher, Martin; Gatterer, Hannes

2013-04-01

Anthropometric and training data have been reported as statistically significant predictors of race performance in endurance events. However, it is well established that physiological characteristics, i.e., maximal oxygen uptake (VO2max), the use of a high percentage of VO2max during sustained exercise, and work efficiency are predominant predictors of performance in those events. Thus, the essential issue is whether the anthropometric and training data give additional predictive power beyond these other measures.

A Runtime Performance Predictor for Selecting Tabu Tenures

NASA Technical Reports Server (NTRS)

Allen, John A.; Minton, Steven N.

1997-01-01

One of the drawbacks of parameter based systems, such as tabu search, is the difficulty of finding the correct parameter for a particular problem. Often, rule-of-thumb advice is given which may have little or no applicability to the domain or problem instance at hand. This paper describes the application of a general technique, Runtime Performance Predictors (RPP) which can be used to determine, in an efficient manner, the correct tabu tenure for a particular problem instance. The details of the approach and a demonstration using a variant of GSAT are presented.

Smith predictor with sliding mode control for processes with large dead times

NASA Astrophysics Data System (ADS)

Mehta, Utkal; Kaya, İbrahim

2017-11-01

The paper discusses the Smith Predictor scheme with Sliding Mode Controller (SP-SMC) for processes with large dead times. This technique gives improved load-disturbance rejection with optimum input control signal variations. A power rate reaching law is incorporated in the sporadic part of sliding mode control such that the overall performance recovers meaningfully. The proposed scheme obtains parameter values by satisfying a new performance index which is based on biobjective constraint. In simulation study, the efficiency of the method is evaluated for robustness and transient performance over reported techniques.

HiRel: Hybrid Automated Reliability Predictor (HARP) integrated reliability tool system, (version 7.0). Volume 4: HARP Output (HARPO) graphics display user's guide

NASA Technical Reports Server (NTRS)

Sproles, Darrell W.; Bavuso, Salvatore J.

1994-01-01

The Hybrid Automated Reliability Predictor (HARP) integrated Reliability (HiRel) tool system for reliability/availability prediction offers a toolbox of integrated reliability/availability programs that can be used to customize the user's application in a workstation or nonworkstation environment. HiRel consists of interactive graphical input/output programs and four reliability/availability modeling engines that provide analytical and simulative solutions to a wide host of highly reliable fault-tolerant system architectures and is also applicable to electronic systems in general. The tool system was designed at the outset to be compatible with most computing platforms and operating systems and some programs have been beta tested within the aerospace community for over 8 years. This document is a user's guide for the HiRel graphical postprocessor program HARPO (HARP Output). HARPO reads ASCII files generated by HARP. It provides an interactive plotting capability that can be used to display alternate model data for trade-off analyses. File data can also be imported to other commercial software programs.

Formal Alternative Transportation Options for Older Adults: An Assessment of Need.

PubMed

Turner, Joshua J; Adams-Price, Carolyn E; Strawderman, Lesley

2017-01-01

This study measured the need for formal alternative modes of transportation among older adults by applying traditional factors of the Behavioral Model. Survey participants who regularly drove were compared to those who could no longer drive. Race/ethnicity and self-reported health were significant predictors of perceived need for transportation services for both groups. However, income and service awareness were significant predictors only for drivers, while family proximity was a significant predictor only for non-drivers. Results suggest the importance of gaining a better understanding of the factors associated with need for senior-focused transportation services to more effectively plan such programs.

A Comparison of an Audio-Lingual Program and an Audio-Lingual-Visual Program for Beginning French Instruction in Grade Eight.

ERIC Educational Resources Information Center

Di Francesco, Loretta; Smith, Philip D., Jr.

1971-01-01

This evaluation of two programs of materials used in introductory French classes tests two basic hypotheses: (1) pretests are good predictors of subsequent French achievement at the junior high school level, and (2) students in different programs will achieve to the same degree on a final French test. Results of the groups using the "audiolingual"…

42 CFR 420.410 - Establishment of a program to collect suggestions for improving Medicare program efficiency and...

Code of Federal Regulations, 2010 CFR

2010-10-01

... for improving Medicare program efficiency and to reward suggesters for monetary savings. 420.410... Program Efficiency and to Reward Suggesters for Monetary Savings § 420.410 Establishment of a program to collect suggestions for improving Medicare program efficiency and to reward suggesters for monetary...

42 CFR 420.410 - Establishment of a program to collect suggestions for improving Medicare program efficiency and...

Code of Federal Regulations, 2011 CFR

2011-10-01

... for improving Medicare program efficiency and to reward suggesters for monetary savings. 420.410... Program Efficiency and to Reward Suggesters for Monetary Savings § 420.410 Establishment of a program to collect suggestions for improving Medicare program efficiency and to reward suggesters for monetary...

Research experiences and mentoring practices in selected east Asian graduate programs: predictors of research productivity among doctoral students in molecular biology.

PubMed

Ynalvez, Ruby; Garza-Gongora, Claudia; Ynalvez, Marcus Antonius; Hara, Noriko

2014-01-01

Although doctoral mentors recognize the benefits of providing quality advisement and close guidance, those of sharing project management responsibilities with mentees are still not well recognized. We observed that mentees, who have the opportunity to co-manage projects, generate more written output. Here we examine the link between research productivity, doctoral mentoring practices (DMP), and doctoral research experiences (DRE) of mentees in programs in the non-West. Inspired by previous findings that early career productivity is a strong predictor of later productivity, we examine the research productivity of 210 molecular biology doctoral students in selected programs in Japan, Singapore, and Taiwan. Using principal component (PC) analysis, we derive two sets of PCs: one set from 15 DMP and another set from 16 DRE items. We model research productivity using Poisson and negative-binomial regression models with these sets as predictors. Our findings suggest a need to re-think extant practices and to allocate resources toward professional career development in training future scientists. We contend that doctoral science training must not only be an occasion for future scientists to learn scientific and technical skills, but it must also be the opportunity to experience, to acquire, and to hone research management skills. © 2014 The International Union of Biochemistry and Molecular Biology.

Admitting At-Risk Students into a Principal Preparation Program: Predicting Success.

ERIC Educational Resources Information Center

Malone, Bobby G.; Nelson, Jacquelyn S.; Nelson, C. Van

2001-01-01

Study of graduation rates of at-risk students admitted to a master's degree program at a doctoral-degree-granting university found that the best predictor of degree completion was the product of the undergraduate GPA multiplied by the GRE Verbal score. (Contains 41 references.)

Developing a Statewide Childhood Body Mass Index Surveillance Program

ERIC Educational Resources Information Center

Paul, David R.; Scruggs, Philip W.; Goc Karp, Grace; Ransdell, Lynda B.; Robinson, Clay; Lester, Michael J.; Gao, Yong; Petranek, Laura J.; Brown, Helen; Shimon, Jane M.

2014-01-01

Background: Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state. Methods: A coalition comprised of…

Examining individual factors according to health risk appraisal data as determinants of absenteeism among US utility employees.

PubMed

Marzec, Mary L; Scibelli, Andrew F; Edington, Dee W

2013-07-01

To investigate predictors of absenteeism and discuss potential implications for policy/program design. Health Risk Appraisal (HRA) data and self-reported and objective absenteeism (personnel records) were used to develop a structural equation model, controlling for age, sex, and job classification. A Medical Condition Burden Index (MCBI) was created by summing the number of self-reported medical conditions. Higher MCBI and stress were direct predictors of absenteeism. Physical activity was not associated with absenteeism but mediated both stress and MCBI. Because stress impacted both absenteeism and MCBI, organizations may benefit by placing stress management as a priority for wellness program and policy focus. Physical activity was not directly associated with absenteeism but was a mediating variable for stress and MCBI. Measures of stress and physical health may be more meaningful as outcome measures for physical activity programs than absenteeism.

Predictors of time to relapse in amphetamine-type substance users in the matrix treatment program in Iran: a Cox proportional hazard model application.

PubMed

Moeeni, Maryam; Razaghi, Emran M; Ponnet, Koen; Torabi, Fatemeh; Shafiee, Seyed Ali; Pashaei, Tahereh

2016-07-26

The aim of this study was to determine which predictors influence the risk of relapse among a cohort of amphetamine-type substance (ATS) users in Iran. A Cox proportional hazards model was conducted to determine factors associated with the relapse time in the Matrix treatment program provided by the Iranian National Center of Addiction Studies (INCAS) between March 2010 and October 2011. Participating in more treatment sessions was associated with a lower probability of relapse. On the other hand, patients with less family support, longer dependence on ATS, and those with an experience of casual sex and a history of criminal offenses were more likely to relapse. This study broadens our understanding of factors influencing the risk of relapse in ATS use among an Iranian sample. The findings can guide practitioners during the treatment program.

Motivations and Predictors of Cheating in Pharmacy School

PubMed Central

Nguyen, Kathy; Shah, Bijal M.; Doroudgar, Shadi; Bidwal, Monica K.

2016-01-01

Objective. To assess the prevalence, methods, and motivations for didactic cheating among pharmacy students and to determine predictive factors for cheating in pharmacy colleges and schools. Methods. A 45-item cross-sectional survey was conducted at all four doctor of pharmacy programs in Northern California. For data analysis, t test, Fisher exact test, and logistic regression were used. Results. Overall, 11.8% of students admitted to cheating in pharmacy school. Primary motivations for cheating included fear of failure, procrastination, and stress. In multivariate analysis, the only predictor for cheating in pharmacy school was a history of cheating in undergraduate studies. Conclusion. Cheating occurs in pharmacy schools and is motivated by fear of failure, procrastination, and stress. A history of past cheating predicts pharmacy school cheating. The information presented may help programs better understand their student population and lead to a reassessment of ethical culture, testing procedures, and prevention programs. PMID:27899829

Problem severity and motivation for treatment in incarcerated substance abusers.

PubMed

Hiller, Matthew L; Narevic, Egle; Webster, J Matthew; Rosen, Paul; Staton, Michele; Leukefeld, Carl; Garrity, Thomas F; Kayo, Rebecca

2009-01-01

Studies of community-based treatment programs for substance users document that motivation for treatment is a consistent predictor of clients remaining under treatment for a longer period of time. Recent research has replicated this in prison-based treatment programs, implying that motivation is clinically important regardless of setting. The current study examines predictors of treatment motivation using data collected from 661 male drug-involved inmates during in-depth interviews that include components of the Addiction Severity Index, TCU Motivation Scale, and the Heath Services Research Instrument. Findings showed treatment motivation can be measured effectively in prison-based settings. Motivation scores were not significantly different between individuals in a prison-based treatment program and those in the general prison population. Furthermore, higher motivation for treatment scores were associated with greater levels of problem severity, suggesting that individuals with more drug-use related life problems may recognize this need and desire help for beginning long-term recovery.

Word lengths are optimized for efficient communication.

PubMed

Piantadosi, Steven T; Tily, Harry; Gibson, Edward

2011-03-01

We demonstrate a substantial improvement on one of the most celebrated empirical laws in the study of language, Zipf's 75-y-old theory that word length is primarily determined by frequency of use. In accord with rational theories of communication, we show across 10 languages that average information content is a much better predictor of word length than frequency. This indicates that human lexicons are efficiently structured for communication by taking into account interword statistical dependencies. Lexical systems result from an optimization of communicative pressures, coding meanings efficiently given the complex statistics of natural language use.

Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach

NASA Astrophysics Data System (ADS)

Pidoto, Ross; Wallner, Markus; Haberlandt, Uwe

2017-04-01

The Melbourne region experiences highly variable inter-annual rainfall. For close to a decade during the 2000s, below average rainfall seriously affected the environment, water supplies and agriculture. A seasonal rainfall forecasting model for the Melbourne region based on the novel approach of a Self-Organizing Map has been developed and tested for its prediction performance. Predictor variables at varying lead times were first assessed for inclusion within the model by calculating their importance via Random Forests. Predictor variables tested include the climate indices SOI, DMI and N3.4, in addition to gridded global sea surface temperature data. Five forecasting models were developed: an annual model and four seasonal models, each individually optimized for performance through Pearson's correlation r and the Nash-Sutcliffe Efficiency. The annual model showed a prediction performance of r = 0.54 and NSE = 0.14. The best seasonal model was for spring, with r = 0.61 and NSE = 0.31. Autumn was the worst performing seasonal model. The sea surface temperature data contributed fewer predictor variables compared to climate indices. Most predictor variables were supplied at a minimum lead, however some predictors were found at lead times of up to a year.

Postoperated hip fracture rehabilitation effectiveness and efficiency in a community hospital.

PubMed

Tan, Adrian K H; Taiju, Rangpa; Menon, Edward B; Koh, Gerald C H

2014-04-01

This study aims to determine the inpatient rehabilitation effectiveness (REs) and rehabilitation efficiency (REy) of hip fracture in a Singapore community hospital (CH), its association with socio-demographic variables, medical comorbidities and admission Shah-modified Barthel Index (BI) score as well as change in independent ambulation from discharge to 4 months later. A retrospective cohort study using data manually extracted from medical records of all patients who had hip fracture within 90 days and admitted to a CH after the operation for rehabilitation. Multiple linear regressions are used to identify independent predictors of REs and REy. The mean REs was 40.4% (95% Confidence Interval (CI), 36.7 to 44.0). The independent predictors of poorer REs on multivariate analysis were older age, Malay (vs non-Malay) patients, fewer numbers of rehabilitative therapy sessions and dementia. The mean REy was 0.41 units per day [CI, 0.36 to 0.46]. The independent predictors of poorer REy on multivariate analysis were higher admission BI and being non-hypertensive patient. The prevalence of independent ambulation improved from 78.9% at the discharge to 88.3% 4 months later. CH inpatient rehabilitative therapy showed REs 40.4% and REy of 0.41 units per day and the optimum number of rehabilitative therapy session was from 28 to 41 in terms of rehabilitation effectiveness and the maximum rehabilitation efficiency was seen in those doing 14 to 27 sessions of rehabilitative therapy. The study also showed improvement in BI at discharge and improvement in the independent ambulation 4 months after discharge from the CH.

77 FR 14509 - State Energy Program and Energy Efficiency and Conservation Block Grant (EECBG) Program; Request...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-12

... DEPARTMENT OF ENERGY [Docket No. EESEP0216] State Energy Program and Energy Efficiency and Conservation Block Grant (EECBG) Program; Request for Information AGENCY: Office of Energy Efficiency and... (SEP) and Energy Efficiency and Conservation Block Grant (EECBG) program, in support of energy...

Sustained Energy Savings Achieved through Successful Industrial Customer Interaction with Ratepayer Programs: Case Studies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Goldberg, Amelie; Hedman, Bruce; Taylor, Robert P.

Many states have implemented ratepayer-funded programs to acquire energy efficiency as a predictable and reliable resource for meeting existing and future energy demand. These programs have become a fixture in many U.S. electricity and natural gas markets as they help postpone or eliminate the need for expensive generation and transmission investments. Industrial energy efficiency (IEE) is an energy efficiency resource that is not only a low cost option for many of these efficiency programs, but offers productivity and competitive benefits to manufacturers as it reduces their energy costs. However, some industrial customers are less enthusiastic about participating in these programs.more » IEE ratepayer programs suffer low participation by industries across many states today despite a continual increase in energy efficiency program spending across all types of customers, and significant energy efficiency funds can often go unused for industrial customers. This paper provides four detailed case studies of companies that benefited from participation in their utility’s energy efficiency program offerings and highlights the business value brought to them by participation in these programs. The paper is designed both for rate-payer efficiency program administrators interested in improving the attractiveness and effectiveness of industrial efficiency programs for their industrial customers and for industrial customers interested in maximizing the value of participating in efficiency programs.« less

Predictors of Home Care Expenditures and Death at Home for Cancer Patients in an Integrated Comprehensive Palliative Home Care Pilot Program

PubMed Central

Howell, Doris M.; Abernathy, Tom; Cockerill, Rhonda; Brazil, Kevin; Wagner, Frank; Librach, Larry

2011-01-01

Purpose: Empirical understanding of predictors for home care service use and death at home is important for healthcare planning. Few studies have examined these predictors in the context of the publicly funded Canadian home care system. This study examined predictors for home care use and home death in the context of a “gold standard” comprehensive palliative home care program pilot in Ontario where patients had equal access to home care services. Methods: Secondary clinical and administrative data sources were linked using a unique identifier to examine multivariate factors (predisposing, enabling, need) on total home care expenditures and home death for a cohort of cancer patients enrolled in the HPCNet pilot. Results: Subjects with gastrointestinal symptoms (OR: 1.64; p=0.03) and those with higher income had increased odds of dying at home (OR: 1.14; p<0.001), whereas age, number of GP visits, gastrointestinal symptoms (i.e., nausea, vomiting, bowel obstruction) and eating problems (i.e., anorexia/cachexia) predicted home care expenditures. Conclusions: Predictors of home death found in earlier studies appeared less important in this comprehensive palliative home care pilot. An income effect for home death observed in this study requires examination in future controlled studies. Relevance: Access to palliative home care that is adequately resourced and organized to address the multiple domains of issues that patients/families experience at the end of life has the potential to enable home death and shift care appropriately from limited acute care resources. PMID:22294993

Organizational climate determinants of resident safety culture in nursing homes.

PubMed

Arnetz, Judith E; Zhdanova, Ludmila S; Elsouhag, Dalia; Lichtenberg, Peter; Luborsky, Mark R; Arnetz, Bengt B

2011-12-01

In recent years, there has been an increasing focus on the role of safety culture in preventing costly adverse events, such as medication errors and falls, among nursing home residents. However, little is known regarding critical organizational determinants of a positive safety culture in nursing homes. The aim of this study was to identify organizational climate predictors of specific aspects of the staff-rated resident safety culture (RSC) in a sample of nursing homes. Staff at 4 Michigan nursing homes responded to a self-administered questionnaire measuring organizational climate and RSC. Multiple regression analyses were used to identify organizational climate factors that predicted the safety culture dimensions nonpunitive response to mistakes, communication about incidents, and compliance with procedures.  The organizational climate factors efficiency and work climate predicted nonpunitive response to mistakes (p < .001 for both scales) and compliance with procedures (p < .05 and p < .001 respectively). Work stress was an inverse predictor of compliance with procedures (p < .05). Goal clarity was the only significant predictor of communication about incidents (p < .05). Efficiency, work climate, work stress, and goal clarity are all malleable organizational factors that could feasibly be the focus of interventions to improve RSC. Future studies will examine whether these results can be replicated with larger samples.

Electrical Capacitance as a Predictor of Root Dry Weight in Shrub Willow ( Salix; Salicaceae) Parents and Progeny

DOE Office of Scientific and Technical Information (OSTI.GOV)

Carlson, Craig H.; Smart, Lawrence B.

Here, the root biomass is an important trait often disregarded in woody perennial selection due to the challenge and expense of accurately and efficiently measuring large populations. In this study, we aim to develop a simple method that can predict root dry weight within a diverse shrub willow ( Salix) breeding population representing species hybrids and their parents using root electrical capacitance (REC). The REC method was tested on plants started from cuttings and grown in pots with potting mix in the greenhouse for 11 wk to assess the relationship of REC with 24 biomass traits and its usefulness inmore » allometric models for root and stem dry biomass. As a result, strong linear and positive correlations were found between REC and root dry biomass (r = 0.88). The total proportion of variance of root and stem dry biomass explained by predictors in multiple regression was 85% and 69%, respectively. The relative importance of predictor variables in allometric models was dominated by the contribution of REC. Here, this work provides an efficient and nondestructive technique to indirectly quantify root biomass of genetically diverse shrub willow progeny, which has great promise for selection of genotypes with varying root biomass and for the accurate estimation of belowground carbon sequestration.« less

Electrical Capacitance as a Predictor of Root Dry Weight in Shrub Willow ( Salix; Salicaceae) Parents and Progeny

DOE PAGES

Carlson, Craig H.; Smart, Lawrence B.

2016-08-19

Here, the root biomass is an important trait often disregarded in woody perennial selection due to the challenge and expense of accurately and efficiently measuring large populations. In this study, we aim to develop a simple method that can predict root dry weight within a diverse shrub willow ( Salix) breeding population representing species hybrids and their parents using root electrical capacitance (REC). The REC method was tested on plants started from cuttings and grown in pots with potting mix in the greenhouse for 11 wk to assess the relationship of REC with 24 biomass traits and its usefulness inmore » allometric models for root and stem dry biomass. As a result, strong linear and positive correlations were found between REC and root dry biomass (r = 0.88). The total proportion of variance of root and stem dry biomass explained by predictors in multiple regression was 85% and 69%, respectively. The relative importance of predictor variables in allometric models was dominated by the contribution of REC. Here, this work provides an efficient and nondestructive technique to indirectly quantify root biomass of genetically diverse shrub willow progeny, which has great promise for selection of genotypes with varying root biomass and for the accurate estimation of belowground carbon sequestration.« less

Eye Color as a Predictor of Outcomes in Behavior Therapy.

ERIC Educational Resources Information Center

Markle, Allan; And Others

1984-01-01

Examined the relationship between outcomes of behaviorally oriented treatment for children (N=366) and eye color. Findings were consistent with theoretical expectations: Dark-eyed children and teenagers responded better to reactive treatment programs than their light-eyed counterparts, while the reverse was true for self-paced treatment programs.…

Evaluation of Selected Recycling Curricula: Educating the Green Citizen.

ERIC Educational Resources Information Center

Boerschig, Sally; De Young, Raymond

1993-01-01

Solid waste curricula from various programs around the country were reviewed using eight variables identified as predictors of conservation behavior. Scores demonstrated that solid waste curricula focus mainly on knowledge and include, to a lesser extent, attitude change and action strategies. Lists the 14 programs evaluated in the study. (MDH)

The Relationship between Participation in Campus Recreation Programs and College Student Academic Success

ERIC Educational Resources Information Center

Kiss, Jessica E.

2017-01-01

The academic success of undergraduate students is necessary for degree attainment and fulfilling career goals. Universities recognize factors that affect academic achievement and promote strategies that support satisfactory grades, progression through degree programs, and graduation for students. It is essential to determine predictors of success…

Preadmission Academic Achievement Criteria as Predictors of Nursing Program Completion and NCLEX-RN Success

ERIC Educational Resources Information Center

Rogers, Tanya L.

2009-01-01

Admission policies and practices in higher education, including those in nursing programs, are diverse; yet administrators have traditionally relied upon preadmission academic achievement for selection of qualified students. Higher education administrators have the responsibility to serve the institution and all of its constituents, ensuring that…

Early Predictors of Need for Remediation in the Australian General Practice Training Program: A Retrospective Cohort Study

ERIC Educational Resources Information Center

Magin, Parker; Stewart, Rebecca; Turnock, Allison; Tapley, Amanda; Holliday, Elizabeth; Cooling, Nick

2017-01-01

Underperforming trainees requiring remediation may threaten patient safety and are challenging for vocational training programs. Decisions to institute remediation are high-stakes--remediation being resource-intensive and emotionally demanding on trainees. Detection of underperformance requiring remediation is particularly problematic in general…

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

The report is an overview of electric energy efficiency programs. It takes a concise look at what states are doing to encourage energy efficiency and how it impacts electric utilities. Energy efficiency programs began to be offered by utilities as a response to the energy crises of the 1970s. These regulatory-driven programs peaked in the early-1990s and then tapered off as deregulation took hold. Today, rising electricity prices, environmental concerns, and national security issues have renewed interest in increasing energy efficiency as an alternative to additional supply. In response, new methods for administering, managing, and delivering energy efficiency programs aremore » being implemented. Topics covered in the report include: Analysis of the benefits of energy efficiency and key methods for achieving energy efficiency; evaluation of the business drivers spurring increased energy efficiency; Discussion of the major barriers to expanding energy efficiency programs; evaluation of the economic impacts of energy efficiency; discussion of the history of electric utility energy efficiency efforts; analysis of the impact of energy efficiency on utility profits and methods for protecting profitability; Discussion of non-utility management of energy efficiency programs; evaluation of major methods to spur energy efficiency - systems benefit charges, resource planning, and resource standards; and, analysis of the alternatives for encouraging customer participation in energy efficiency programs.« less

Prognostic value of the oxygen uptake efficiency slope and other exercise variables in patients with coronary artery disease.

PubMed

Coeckelberghs, Ellen; Buys, Roselien; Goetschalckx, Kaatje; Cornelissen, Véronique A; Vanhees, Luc

2016-02-01

Peak exercise capacity is an independent predictor for mortality in patients with coronary artery disease. However, sometimes cardiopulmonary exercise tests are stopped prematurely. Therefore, submaximal exercise measures such as the oxygen uptake efficiency slope have been introduced. The aim of this study was to assess the prognostic value of the oxygen uptake efficiency slope and other exercise parameters, in patients with coronary artery disease. Between 2000 and 2011, 1409 patients with coronary artery disease (age 60.7 ± 9.9 years; 1205 males) underwent cardiopulmonary exercise tests. A maximal effort was not reached in 161 (11.5%) patients. The oxygen uptake efficiency slope was calculated and information on mortality was obtained. Cox proportional hazards regression analyses were used to assess the relation of oxygen uptake efficiency slope and other gas exchange variables with all-cause and cardiovascular mortality. Receiver operating characteristic curve analyses was performed to define optimal cut-off values. During an average follow-up of 7.45 ± 3.20 years (range 0.16-13.95 years), 158 patients died, among which 68 patients for cardiovascular reasons. The oxygen uptake efficiency slope was related to all-cause (hazard ratio: 0.568, p < 0.001) and cardiovascular (hazard ratio: 0.461, p < 0.001) mortality. When significant covariates were entered in the analysis, oxygen uptake efficiency slope remained related to mortality (p < 0.05). When other submaximal exercise parameters were added to the model, oxygen uptake efficiency slope and minute ventilation/carbon dioxide production slope also remained significantly related to mortality. The oxygen uptake efficiency slope is an independent predictor for all-cause and cardiovascular mortality in patients with coronary artery disease, irrespective of a truly maximal effort during cardiopulmonary exercise tests. Furthermore, the oxygen uptake efficiency slope provides prognostic information, complementary to the minute ventilation/carbon dioxide production slope and peak exercise capacity. © The European Society of Cardiology 2015.

Birth Weight Is Associated With the IGF-1 Response to GH in Children: Programming of the Anabolic Action of GH?

PubMed

Donzeau, Aurélie; Bouhours-Nouet, Natacha; Fauchard, Mathilde; Decrequy, Anne; Mathieu, Elisabeth; Boux de Casson, Florence; Gascoin, Geraldine; Coutant, Régis

2015-08-01

Intrauterine programming of the somatotropic axis has been hypothesized in cases of intrauterine growth retardation. The objective of the study was to study the effects of birth weight and body composition on GH sensitivity. This was a cross-sectional study with a single GH administration to assess GH sensitivity. The study was conducted at the Department of Pediatric Endocrinology of an academic medical center. One hundred normal short children aged from 4 to 17 years old (44 girls, 56 boys) separated into four groups: early childhood (aged 4-8 y, n = 14), late childhood (aged 9-12 y, pubertal stage 1, n = 30), early puberty (aged 10-15 y, stage 2, n = 32), and midpuberty (aged 12-17 y, stages 3 and 4, n = 24). Serum IGF-1 at baseline and 24 hours after a single administration of GH (2 mg/m(2)) were measured. δIGF-1 significantly increased across the groups (P < .0001) with no gender difference, whereas the percentage of change in IGF-1 was similar (47% ± 32%). Independent predictors of δIGF-1 were birth weight SD score, fat percentage, fasting insulin (all positive predictors), and free fatty acids (negative predictor), with age, puberty, and baseline IGF-1 as adjusting variables (multiple R = 0.73, P < .0001). Independent predictors of the percentage of change in IGF-1 were birth weight SD score, fat percentage, and baseline IGF-1 (multiple R = 0.43, P < .001). This study suggests that in cases of low birth weight, intrauterine programming of GH sensitivity may be an adaptation to an expected poor postnatal nutritional environment, serving to restrict the anabolic action of GH. Conversely, postnatal excess energy stores may promote the anabolic action of GH.

Predicting Treatment Success in Social Skills Training for Adolescents with Autism Spectrum Disorders: The UCLA Program for the Education and Enrichment of Relational Skills

ERIC Educational Resources Information Center

Chang, Ya-Chih; Laugeson, Elizabeth A.; Gantman, Alexander; Ellingsen, Ruth; Frankel, Fred; Dillon, Ashley R.

2014-01-01

This study seeks to examine the predictors of positive social skills outcomes from the University of California, Los Angeles Program for the Education and Enrichment of Relational Skills, an evidence-based parent-assisted social skills program for high-functioning middle school and high school adolescents with autism spectrum disorders. The…

Family Income, Parent Education, and Perceived Constraints as Predictors of Observed Program Quality and Parent Rated Program Quality

ERIC Educational Resources Information Center

Torquati, Julia C.; Raikes, Helen H.; Huddleston-Casas, Catherine A.; Bovaird, James A.; Harris, Beatrice A.

2011-01-01

Observed child care quality and parent perceptions of child care quality received by children in poor (below Federal Poverty Line, FPL), low-income (between FPL and 200% of FPL), and non-low-income families were examined. Observations were completed in 359 center- and home-based child care programs in four Midwestern states and surveys were…

Analyzing the influence of admissions criteria and cultural norms on success in an international dental studies program.

PubMed

Itaya, Lisa E; Chambers, David W; King, Patricia A

2008-03-01

This study determines the extent to which admissions criteria and cultural norms predict the success of a foreign-trained dentist in a United States dental educational program. Correlation and regression tests were applied to an eleven-year period from 1994 to 2004 of retrospective admissions data for 144 International Dental Studies Program students. Five cultural norms were derived from the collective cultural dimensions of a scholarly work of validated multinational surveys by Geert Hofstede. These five cultural norms are Power Distance (degree of inequality between "haves" and "have-nots" in a culture); Individualism (support for independent or group behavior); Long-Term View (deferred gratification versus quick results/rewards); Masculinity (emphasis on performance/outcomes versus socialization); and Uncertainty Avoidance (ability to cope with an uncertain future). Hofstede's calculated country scores on these cultural dimensions applied to the students' countries of education and their influence on students' academic performance were assessed by correlation and regression analyses. Results showed that the TOEFL and National Board Part I examinations and the cultural norm of Long-Term View were the most positive predictors of grade point averages. The other four cultural norms studied were not predictors of success. Those who applied to the program more than once before being accepted did less well in the program, yet "less well" might have meant that they graduated with a 3.0 instead of a 3.5 GPA. Generally speaking, the more recent the graduated class, the higher the ending GPA has been. Admissions committees should determine if they want to invest the resources required to implement a multitude of admissions predictors to find the best of the qualified applicants.

Witnessing Interparental Violence and Acceptance of Dating Violence as Predictors for Teen Dating Violence Victimization.

PubMed

Karlsson, Marie E; Temple, Jeff R; Weston, Rebecca; Le, Vi Donna

2016-04-01

We examined the association between witnessing interparental violence, attitudes about dating violence, and physical and psychological teen dating violence (TDV) victimization. Participants were 918 teens with dating experience. Witnessing interparental violence and acceptance of dating violence were significant predictors of TDV victimization. Acceptance of dating violence was also a partial mediator between witnessing interparental violence and TDV victimization. Witnessing mother-to-father violence and acceptance of female-perpetrated violence were the most consistent predictors. TDV programs aiming to prevent victimization could benefit from targeting youth exposed to father-to-mother and mother-to-father violence, targeting attitudes about violence, and tailoring interventions to gender-specific risk factors. © The Author(s) 2015.

Predictors of weight loss success. Exercise vs. dietary self-efficacy and treatment attendance.

PubMed

Byrne, Shannon; Barry, Danielle; Petry, Nancy M

2012-04-01

Pre-treatment diet and exercise self-efficacies can predict weight loss success. Changes in diet self-efficacy across treatment appear to be even stronger predictors than baseline levels, but research on changes in exercise self-efficacy is lacking. Using data from a pilot study evaluating tangible reinforcement for weight loss (N=30), we examined the impact of changes in diet and exercise self-efficacy on outcomes. Multiple regression analyses indicated that treatment attendance and changes in exercise self-efficacy during treatment were the strongest predictors of weight loss. Developing weight loss programs that foster the development of exercise self-efficacy may enhance participants' success. Published by Elsevier Ltd.

The mediating effect of caregiver burden on the caregivers' quality of life.

PubMed

Jeong, Yeon-Gyu; Jeong, Yeon-Jae; Kim, Won-Cheol; Kim, Jeong-Soo

2015-05-01

[Purpose] Quality of life (QoL) can be closely related to caregiver burden, which may be a potential mediating effect on the relationships among stroke patient caregivers. This study investigated the predictors of caregiver's QoL based on patient and caregiver characteristics, with caregiver burden as a mediator. [Methods] This study was conducted using surveys, a literature review, and interviews. Survey data were collected from 238 subjects, who were diagnosed with stroke, and their family caregivers from October 2013 to April 2014. [Results] Caregiver health status, income, spouses caring for patients, and duration of hospitalization were identified as significant predictors of caregivers' QoL with a mediating effect of caregiver burden. The time spent on caregiving per day and patient education level were the only direct predictors of caregivers' QoL. [Conclusion] The responsibility of caring for patients with stroke, in particular for a spouse, must be administered by means of a holistic family-centered rehabilitation program. In addition, financial support and availability of various health and social service programs must be comprehensively provided in order to maintain caregivers' well-being.

Admissions Criteria as Predictors of Academic Performance in a Three-Year Pharmacy Program at a Historically Black Institution

PubMed Central

Parmar, Jayesh R.; Purnell, Miriam; Lang, Lynn A.

2016-01-01

Objective. To determine the ability of University of Maryland Eastern Shore School of Pharmacy’s admissions criteria to predict students’ academic performance in a 3-year pharmacy program and to analyze transferability to African-American students. Methods. Statistical analyses were conducted on retrospective data for 174 students. Didactic and experiential scores were used as measures of academic performance. Results. Pharmacy College Admission Test (PCAT), grade point average (GPA), interview, and observational scores combined with previous pharmacy experience and biochemistry coursework predicted the students' academic performance except second-year (P2) experiential performance. For African-American students, didactic performance positively correlated with PCAT writing subtests, while the experiential performance positively correlated with previous pharmacy experience and observational score. For nonAfrican-American students, didactic performance positively correlated with PCAT multiple-choice subtests, and experiential performance with interview score. The prerequisite GPA positively correlated with both of the student subgroups’ didactic performance. Conclusion. Both PCAT and GPA were predictors of didactic performance, especially in nonAfrican-Americans. Pharmacy experience and observational scores were predictors of experiential performance, especially in African-Americans. PMID:26941432

Application of the Disruption Predictor Feature Developer to developing a machine-portable disruption predictor

NASA Astrophysics Data System (ADS)

Parsons, Matthew; Tang, William; Feibush, Eliot

2016-10-01

Plasma disruptions pose a major threat to the operation of tokamaks which confine a large amount of stored energy. In order to effectively mitigate this damage it is necessary to predict an oncoming disruption with sufficient warning time to take mitigative action. Machine learning approaches to this problem have shown promise but require further developments to address (1) the need for machine-portable predictors and (2) the availability of multi-dimensional signal inputs. Here we demonstrate progress in these two areas by applying the Disruption Predictor Feature Developer to data from JET and NSTX, and discuss topics of focus for ongoing work in support of ITER. The author is also supported under the Fulbright U.S. Student Program as a graduate student in the department of Nuclear, Plasma and Radiological Engineering at the University of Illinois at Urbana-Champaign.

Predictor - Predictive Reaction Design via Informatics, Computation and Theories of Reactivity

DTIC Science & Technology

2017-10-10

into more complex and valuable molecules, but are limited by: 1. The extensive time it takes to design and optimize a synthesis 2. Multi-step...system. As it is fully compatible to the industry standard SQL, designing a server- based system at a later time will be trivial. Producing a JAVA front...Report: PREDICTOR - Predictive REaction Design via Informatics, Computation and Theories of Reactivity The goal of this program was to create a cyber

Competitive employment training for mentally retarded adults: the supported work model.

PubMed

Krauss, M W; MacEachron, A E

1982-05-01

The supported work model designed to train mentally retarded persons for competitive employment, was initiated as a pilot program in 1979. The placement rate was 50 percent. In order to investigate the predictors of placement, we conducted an empirical analysis using the theory of work adjustment perspective. Results indicated that the participant's work behavior and job skills, ability to meet the requirements of the jobs, and employment reinforcements were predictors of competitive placement.

Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems

DTIC Science & Technology

2010-02-21

RKF45] and Adams Variable Step- Size Predictor - Corrector methods). While such algorithms naturally are usually used to numerically solve differential...verified by yet another function call. Due to their nature, such methods are referred to as predictor - corrector methods. While computationally expensive...CONTRACT NUMBER N00014-09- C -0394 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER N/A 6. Author(s) Dr. Dimitri N. Mavris Dr. Yongchang Li 5d

Risk and protective factors as predictors of outcome in adolescents with psychiatric disorder and aggression.

PubMed

Vance, J Eric; Bowen, Natasha K; Fernandez, Gustavo; Thompson, Shealy

2002-01-01

To identify predictors of behavioral outcomes in high-risk adolescents with aggression and serious emotional disturbance (SED). Three hundred thirty-seven adolescents from a statewide North Carolina treatment program for aggressive youths with SED were followed between July 1995 and June 1999 from program entry (T1) to approximately 1 year later (T2). Historical and current psychosocial risk and protective factors as well as psychiatric symptom severity at T1 were tested as predictors of high and low behavioral functioning at T2. Behavioral functioning was a composite based on the frequency of risk-taking, self-injurious, threatening, and assaultive behavior. Eleven risk and protective factors were predictive of T2 behavioral functioning, while none of the measured T1 psychiatric symptoms was predictive. A history of aggression and negative parent-child relationships in childhood was predictive of worse T2 behavior, as was lower IQ. Better T2 behavioral outcomes were predicted by a history of consistent parental employment and positive parent-child relations, higher levels of current family support, contact with prosocial peers, higher reading level, good problem-solving abilities, and superior interpersonal skills. Among high-risk adolescents with aggression and SED, psychiatric symptom severity may be a less important predictor of behavioral outcomes than certain risk and protective factors. Several factors predictive of good behavioral functioning represent feasible intervention targets.

Cardiopulmonary exercise testing and prognosis in heart failure due to systolic left ventricular dysfunction: a validation study of the European Society of Cardiology Guidelines and Recommendations (2008) and further developments.

PubMed

Corrà, Ugo; Giordano, Andrea; Mezzani, Alessandro; Gnemmi, Marco; Pistono, Massimo; Caruso, Roberto; Giannuzzi, Pantaleo

2012-02-01

The study aims were to validate the cardiopulmonary exercise testing (CPET) parameters recommended by the European Society of Cardiology 2008 Guidelines for risk assessment in heart failure (HF) (ESC-predictors) and to verify the predictive role of 11 supplementary CPET (S-predictors) parameters. We followed 749 HF patients for cardiovascular death and urgent heart transplantation for 3 years: 139 (19%) patients had cardiac events. ESC-predictors - peak oxygen consumption (VO(2)), slope of minute ventilation vs carbon dioxide production (VE/VCO(2)) and exertional oscillatory ventilation - were all related to outcome at univariate and multivariable analysis. The ESC/2008 prototype based on ESC-predictors presented a Harrell's C concordance index of 0.725, with a likely χ2 of 98.31. S-predictors - predicted peak VO(2), peak oxygen pulse, peak respiratory exchange ratio, peak circulatory power, peak VE/VCO(2), VE/VCO(2) slope normalized by peak VO(2), VO(2) efficiency slope, ventilatory anaerobic threshold detection, peak end-tidal CO(2) partial pressure, peak heart rate, and peak systolic arterial blood pressure (SBP) - were all linked to outcome at univariate analysis. When individually added to the ESC/2008 prototype, only peak SBP and peak O(2) pulse significantly improved the model discrimination ability: the ESC + peak SBP prototype had a Harrell's C index 0.750 and reached the highest likely χ2 (127.16, p < 0.0001). We evaluated the longest list of CPET prognostic parameters yet studied in HF: ESC-predictors were independent predictors of cardiovascular events, and the ESC prototype showed a convincing predictive capacity, whereas none of 11 S-predictors enhanced the prognostic performance, except peak SBP.

Identification of and At-Risk Interventions for Pre-Deployment Psychophysiologic Predictors of PostDeployment Mental Health Outcomes

DTIC Science & Technology

2014-06-01

Bias Assessment Program – Serves as a non-self-report measure of negative cognitive bias. Use of this program will allow researchers to determine...participants who may be at high risk for trauma-related distress because of negative cognitive bias. • Cognitive Bias Training Program – Modification...of negative cognitive bias is the target of the Cognitive Training Program. By learning how to make positive attributions about events, one can

A multi-level examination of how the organizational context relates to readiness to implement prevention and evidence-based programming in community settings.

PubMed

Chilenski, Sarah M; Olson, Jonathan R; Schulte, Jill A; Perkins, Daniel F; Spoth, Richard

2015-02-01

Prior theoretical and empirical research suggests that multiple aspects of an organization's context are likely related to a number of factors, from their interest and ability to adopt new programming, to client outcomes. A limited amount of the prior research has taken a more community-wide perspective by examining factors that associate with community readiness for change, leaving how these findings generalize to community organizations that conduct prevention or positive youth development programs unknown. Thus for the current study, we examined how the organizational context of the Cooperative Extension System (CES) associates with current attitudes and practices regarding prevention and evidence-based programming. Attitudes and practices have been found in the empirical literature to be key indicators of an organization's readiness to adopt prevention and evidence-based programming. Based on multi-level mixed models, results indicate that organizational management practices distinct from program delivery may affect an organization's readiness to adopt and implement new prevention and evidence-based youth programs, thereby limiting the potential public health impact of evidence-based programs. Openness to change, openness of leadership, and communication were the strongest predictors identified within this study. An organization's morale was also found to be a strong predictor of an organization's readiness. The findings of the current study are discussed in terms of implications for prevention and intervention.

A Multi-level Examination of how the Organizational Context Relates to Readiness to Implement Prevention and Evidence-Based Programming in Community Settings

PubMed Central

Chilenski, Sarah M.; Olson, Jonathan R.; Schulte, Jill A.; Perkins, Daniel F.; Spoth, Richard

2015-01-01

Prior theoretical and empirical research suggests that multiple aspects of an organization’s context are likely related to a number of factors, from their interest and ability to adopt new programming, to client outcomes. A limited amount of the prior research has taken a more community-wide perspective by examining factors that associate with community readiness for change, leaving how these findings generalize to community organizations that conduct prevention or positive youth development programs unknown. Thus for the current study, we examined how the organizational context of the Cooperative Extension System (CES) associates with current attitudes and practices regarding prevention and evidence-based programming. Attitudes and practices have been found in the empirical literature to be key indicators of an organization’s readiness to adopt prevention and evidence-based programming. Based on multi-level mixed models, results indicate that organizational management practices distinct from program delivery may affect an organization’s readiness to adopt and implement new prevention and evidence-based youth programs, thereby limiting the potential public health impact of evidence-based programs. Openness to change, openness of leadership, and communication were the strongest predictors identified within this study. An organization’s morale was also found to be a strong predictor of an organization’s readiness. The findings of the current study are discussed in terms of implications for prevention and intervention. PMID:25463014

Highly Efficient Compression Algorithms for Multichannel EEG.

PubMed

Shaw, Laxmi; Rahman, Daleef; Routray, Aurobinda

2018-05-01

The difficulty associated with processing and understanding the high dimensionality of electroencephalogram (EEG) data requires developing efficient and robust compression algorithms. In this paper, different lossless compression techniques of single and multichannel EEG data, including Huffman coding, arithmetic coding, Markov predictor, linear predictor, context-based error modeling, multivariate autoregression (MVAR), and a low complexity bivariate model have been examined and their performances have been compared. Furthermore, a high compression algorithm named general MVAR and a modified context-based error modeling for multichannel EEG have been proposed. The resulting compression algorithm produces a higher relative compression ratio of 70.64% on average compared with the existing methods, and in some cases, it goes up to 83.06%. The proposed methods are designed to compress a large amount of multichannel EEG data efficiently so that the data storage and transmission bandwidth can be effectively used. These methods have been validated using several experimental multichannel EEG recordings of different subjects and publicly available standard databases. The satisfactory parametric measures of these methods, namely percent-root-mean square distortion, peak signal-to-noise ratio, root-mean-square error, and cross correlation, show their superiority over the state-of-the-art compression methods.

Predicting healthcare employees' participation in an office redesign program: attitudes, norms and behavioral control.

PubMed

Mohr, David C; VanDeusen Lukas, Carol; Meterko, Mark

2008-11-02

The study examined the extent to which components based on a modified version of the theory of planned behavior explained employee participation in a new clinical office program designed to reduce patient waiting times in primary care clinics. We regressed extent of employee participation on attitudes about the program, group norms, and perceived behavioral control along with individual and clinic characteristics using a hierarchical linear mixed model. Perceived group norms were one of the best predictors of employee participation. Attitudes about the program were also significant, but to a lesser degree. Behavioral control, however, was not a significant predictor. Respondents with at least one year of clinic tenure, or who were team leaders, first line supervisor, or managers had greater participation rates. Analysis at the clinic level indicated clinics with scores in the highest quartile clinic scores on group norms, attitudes, and behavioral control scores were significantly higher on levels of overall participation than clinics in the lowest quartile. Findings suggest that establishing strong norms and values may influence employee participation in a change program in a group setting. Supervisory level was also significant with greater responsibility being associated with greater participation.

Worksite health promotion program participation: a study to examine the determinants of participation.

PubMed

Hall, Michael Edward; Bergman, Randall J; Nivens, Samantha

2014-09-01

This study explores the relationship between organizational health climate and worksite health promotion program participation, specifically engaging individuals who are unlikely to make positive health behavior choices on their own. Participants consisted of employees at three separate furniture-manufacturing facilities completing a voluntary survey. Using responses (n = 349) from the health climate instrument, which is a measure of the collective attitudes, beliefs, and readiness to change a health behavior, this study identified two factors that were significant contributors to worksite health promotion program participation. Health norms, the collective attitudes regarding healthy lifestyle, as measured by the subscales-health scale and intention to make a behavior change-and "optimistic bias," the overassessment of one's personal health, were found to be predictors of participation. Additionally, significant (p < .05) predictors of self-assessed health, included perceived control to initiate, competence to carry out, and the organizational support of the health behavior change. The findings suggest that the organization's health norms and self-assessed health are associated with the worker's motivation to become involved with health promotion interventions. Offering worksite health screenings and advanced programming and creating a culture of health at work can help address program participation. © 2013 Society for Public Health Education.

Predictors of Retention and Passing National Council Licensure Examination for Registered Nurses

ERIC Educational Resources Information Center

Elkins, Nancy

2013-01-01

The current nursing shortage has challenged colleges to educate nurses at a faster pace than in previous times. Successful completion of the nursing programs and passing the National Council Licensure Examination for Registered Nurses (NCLEX-RN) exam is important for the students, faculty, and nursing programs. The purpose of this retrospective…

Middle School English Language Learner Electronic Media Usage and Its Relationship to Reading

ERIC Educational Resources Information Center

Ramirez, Bari N.

2012-01-01

A quantitative, correlational prediction study was performed to determine the relationship between English language learner (ELL) use of electronic media and reading proficiency in a large urban middle school in Texas. The predictor variables were viewing television programs in English, viewing television programs in Spanish, using a computer for…

Nursing Predictors Study, Phase One.

ERIC Educational Resources Information Center

Dean, Janet H.; Fischer, Susanne E.

In an effort to identify the minimum qualifications necessary for an entering student to succeed in a selective admission Nursing Program at Saint Petersburg Junior College in Florida, a study was conducted of 424 generic nursing students who started the program in January 1988, August 1988, January 1989, and August 1989. A successful student was…

Predictors of Response to an Attention Modification Program in Generalized Social Phobia

ERIC Educational Resources Information Center

Amir, Nader; Taylor, Charles T.; Donohue, Michael C.

2011-01-01

Objective: At least 3 randomized, placebo-controlled, double-blind studies have supported the efficacy of computerized attention modification programs (AMPs) in reducing symptoms of anxiety in patients diagnosed with an anxiety disorder. In this study we examined patient characteristics that predicted response to AMP in a large sample of…

Entrepreneurship Education: Effect of a Treatment in Undergraduate College Courses on Entrepreneurial Intent and Ideation

ERIC Educational Resources Information Center

Mathews, Robert D.

2017-01-01

Entrepreneurship programming has become a very popular choice among higher education students the past three decades. Entrepreneurial intent is consistently regarded as the greatest predictor of entrepreneurial behavior and success of entrepreneurial education programs, while ideation is viewed as a key skill needed for successful entrepreneurial…

Education, Ethnic Identity, and Acculturation as Predictors of Self-Esteem in Latino Adolescents

ERIC Educational Resources Information Center

Cavazos-Rehg, Patricia A.; DeLucia-Waack, Janice L.

2009-01-01

This study examines the self-esteem, acculturation, and ethnic identity of 150 Latino adolescents enrolled in either a bilingual or traditional education program. Bilingual education programs were established to ensure that academic failure was not the product of limited English proficiency. Grade point average (GPA), acculturation, and ethnic…

Career-Technical Students in Baccalaureate Programs: Predictors of the Intent to Persist and Satisfaction with Educational Pathways

ERIC Educational Resources Information Center

Uranis, Julie

2015-01-01

This research explores the intersections of descriptive attributes, expectations, and influences (independent variables) and the degree to which they predict the intent to persist and satisfaction (dependent variables) of students enrolled in career-technical programs at four-year institutions. Little research exists for this population, and…

Mentor and Protege Goal Orientations as Predictors of Newcomer Stress

ERIC Educational Resources Information Center

Fullick, Julia M.; Smith-Jentsch, Kimberly A.; Yarbrough, Charyl Staci; Scielzo, Shannon A.

2012-01-01

Although many academic organizations offer formal mentoring programs, little is known about how individual characteristics of peer mentors and their proteges interact to reduce new-student stress. First-year college students participated in a peer-mentoring program designed to reduce stress. The results of this study demonstrated that proteges who…

Predictors of Learner Satisfaction and Transfer of Learning in a Corporate Online Education Program

ERIC Educational Resources Information Center

Gunawardena, Charlotte N.; Linder-VanBerschot, Jennifer A.; LaPointe, Deborah K.; Rao, Lalita

2010-01-01

This study explores factors that predict learner satisfaction and transfer of learning in an online educational program at a multinational corporation, established to improve organizational learning by providing training in technical skills. A mixed-methods design was used, selecting both quantitative methods (utilizing survey research) and…

Factors Associated with Student Participation in a School-based Hepatitis B Immunization Program.

ERIC Educational Resources Information Center

Goldstein, Susan T.; Cassidy, William M.; Hodgson, Wesley; Mahoney, Francis J.

2001-01-01

Examined relationships between participation in school-based hepatitis B immunization programs and teacher attitudes toward school-based health care and student socioeconomic status (SES). Data on teacher attitudes, student standardized test scores, and student SES indicated that SES was the most important predictor of student participation. The…

The Limitations of the GRE in Predicting Success in Biomedical Graduate School

PubMed Central

Moneta-Koehler, Liane; Brown, Abigail M.; Petrie, Kimberly A.; Evans, Brent J.; Chalkley, Roger

2017-01-01

Historically, admissions committees for biomedical Ph.D. programs have heavily weighed GRE scores when considering applications for admission. The predictive validity of GRE scores on graduate student success is unclear, and there have been no recent investigations specifically on the relationship between general GRE scores and graduate student success in biomedical research. Data from Vanderbilt University Medical School’s biomedical umbrella program were used to test to what extent GRE scores can predict outcomes in graduate school training when controlling for other admissions information. Overall, the GRE did not prove useful in predicating who will graduate with a Ph.D., pass the qualifying exam, have a shorter time to defense, deliver more conference presentations, publish more first author papers, or obtain an individual grant or fellowship. GRE scores were found to be moderate predictors of first semester grades, and weak to moderate predictors of graduate GPA and some elements of a faculty evaluation. These findings suggest admissions committees of biomedical doctoral programs should consider minimizing their reliance on GRE scores to predict the important measures of progress in the program and student productivity. PMID:28076356

HiRel: Hybrid Automated Reliability Predictor (HARP) integrated reliability tool system, (version 7.0). Volume 3: HARP Graphics Oriented (GO) input user's guide

NASA Technical Reports Server (NTRS)

Bavuso, Salvatore J.; Rothmann, Elizabeth; Mittal, Nitin; Koppen, Sandra Howell

1994-01-01

The Hybrid Automated Reliability Predictor (HARP) integrated Reliability (HiRel) tool system for reliability/availability prediction offers a toolbox of integrated reliability/availability programs that can be used to customize the user's application in a workstation or nonworkstation environment. HiRel consists of interactive graphical input/output programs and four reliability/availability modeling engines that provide analytical and simulative solutions to a wide host of highly reliable fault-tolerant system architectures and is also applicable to electronic systems in general. The tool system was designed at the outset to be compatible with most computing platforms and operating systems, and some programs have been beta tested within the aerospace community for over 8 years. This document is a user's guide for the HiRel graphical preprocessor Graphics Oriented (GO) program. GO is a graphical user interface for the HARP engine that enables the drawing of reliability/availability models on a monitor. A mouse is used to select fault tree gates or Markov graphical symbols from a menu for drawing.

Lecturing skills as predictors of tutoring skills in a problem-based medical curriculum.

PubMed

Kassab, Salah Eldin; Hassan, Nahla; Abu-Hijleh, Marwan F; Sequeira, Reginald P

2016-01-01

Recruitment of tutors to work in problem-based learning (PBL) programs is challenging, especially in that most of them are graduated from discipline-based programs. Therefore, this study aims at examining whether lecturing skills of faculty could predict their PBL tutoring skills. This study included evaluation of faculty (n=69) who participated in both tutoring and lecturing within particular PBL units at the College of Medicine and Medical Sciences (CMMS), Arabian Gulf University, Bahrain. Each faculty was evaluated by medical students (n=45±8 for lecturing and 8±2 for PBL tutoring) using structured evaluation forms based on a Likert-type scale (poor to excellent). The prediction of tutoring skills using lecturing skills was statistically analyzed using stepwise linear regression. Among the parameters used to judge lecturing skills, the most important predictor for tutoring skills was subject matter mastery in the lecture by explaining difficult concepts and responding effectively to students' questions. Subject matter mastery in the lecture positively predicted five tutoring skills and accounted for 25% of the variance in overall effectiveness of the PBL tutors (F=22.39, P=0.000). Other important predictors for tutoring skills were providing a relaxed class atmosphere and effective use of audiovisual aids in the lecture. Predicting the tutoring skills based on lecturing skills could have implications for recruiting tutors in PBL medical programs and for tutor training initiatives.

Predictors of a Top Performer During Emergency Medicine Residency.

PubMed

Bhat, Rahul; Takenaka, Katrin; Levine, Brian; Goyal, Nikhil; Garg, Manish; Visconti, Annette; Oyama, Leslie; Castillo, Edward; Broder, Joshua; Omron, Rodney; Hayden, Stephen

2015-10-01

Emergency Medicine (EM) residency program directors and faculty spend significant time and effort creating a residency rank list. To date, however, there have been few studies to assist program directors in determining which pre-residency variables best predict performance during EM residency. To evaluate which pre-residency variables best correlated with an applicant's performance during residency. This was a retrospective multicenter sample of all residents in the three most recent graduating classes from nine participating EM residency programs. The outcome measure of top residency performance was defined as placement in the top third of a resident's graduating class based on performance on the final semi-annual evaluation. A total of 277 residents from nine institutions were evaluated. Eight of the predictors analyzed had a significant correlation with the outcome of resident performance. Applicants' grade during home and away EM rotations, designation as Alpha Omega Alpha (AOA), U.S. Medical Licensing Examination (USMLE) Step 1 score, interview scores, "global rating" and "competitiveness" on nonprogram leadership standardized letter of recommendation (SLOR), and having five or more publications or presentations showed a significant association with residency performance. We identified several predictors of top performers in EM residency: an honors grade for an EM rotation, USMLE Step 1 score, AOA designation, interview score, high SLOR rankings from nonprogram leadership, and completion of five or more presentations and publications. EM program directors may consider utilizing these variables during the match process to choose applicants who have the highest chance of top performance during residency. Copyright © 2015 Elsevier Inc. All rights reserved.

Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events.

PubMed

Botwey, Ransford Henry; Daskalaki, Elena; Diem, Peter; Mougiakakou, Stavroula G

2014-01-01

Correct predictions of future blood glucose levels in individuals with Type 1 Diabetes (T1D) can be used to provide early warning of upcoming hypo-/hyperglycemic events and thus to improve the patient's safety. To increase prediction accuracy and efficiency, various approaches have been proposed which combine multiple predictors to produce superior results compared to single predictors. Three methods for model fusion are presented and comparatively assessed. Data from 23 T1D subjects under sensor-augmented pump (SAP) therapy were used in two adaptive data-driven models (an autoregressive model with output correction - cARX, and a recurrent neural network - RNN). Data fusion techniques based on i) Dempster-Shafer Evidential Theory (DST), ii) Genetic Algorithms (GA), and iii) Genetic Programming (GP) were used to merge the complimentary performances of the prediction models. The fused output is used in a warning algorithm to issue alarms of upcoming hypo-/hyperglycemic events. The fusion schemes showed improved performance with lower root mean square errors, lower time lags, and higher correlation. In the warning algorithm, median daily false alarms (DFA) of 0.25%, and 100% correct alarms (CA) were obtained for both event types. The detection times (DT) before occurrence of events were 13.0 and 12.1 min respectively for hypo-/hyperglycemic events. Compared to the cARX and RNN models, and a linear fusion of the two, the proposed fusion schemes represents a significant improvement.

A phylogenetic Kalman filter for ancestral trait reconstruction using molecular data.

PubMed

Lartillot, Nicolas

2014-02-15

Correlation between life history or ecological traits and genomic features such as nucleotide or amino acid composition can be used for reconstructing the evolutionary history of the traits of interest along phylogenies. Thus far, however, such ancestral reconstructions have been done using simple linear regression approaches that do not account for phylogenetic inertia. These reconstructions could instead be seen as a genuine comparative regression problem, such as formalized by classical generalized least-square comparative methods, in which the trait of interest and the molecular predictor are represented as correlated Brownian characters coevolving along the phylogeny. Here, a Bayesian sampler is introduced, representing an alternative and more efficient algorithmic solution to this comparative regression problem, compared with currently existing generalized least-square approaches. Technically, ancestral trait reconstruction based on a molecular predictor is shown to be formally equivalent to a phylogenetic Kalman filter problem, for which backward and forward recursions are developed and implemented in the context of a Markov chain Monte Carlo sampler. The comparative regression method results in more accurate reconstructions and a more faithful representation of uncertainty, compared with simple linear regression. Application to the reconstruction of the evolution of optimal growth temperature in Archaea, using GC composition in ribosomal RNA stems and amino acid composition of a sample of protein-coding genes, confirms previous findings, in particular, pointing to a hyperthermophilic ancestor for the kingdom. The program is freely available at www.phylobayes.org.

The effect of strategic memory training in older adults: who benefits most?

PubMed

Rosi, Alessia; Del Signore, Federica; Canelli, Elisa; Allegri, Nicola; Bottiroli, Sara; Vecchi, Tomaso; Cavallini, Elena

2017-12-07

Previous research has suggested that there is a degree of variability among older adults' response to memory training, such that some individuals benefit more than others. The aim of the present study was to identify the profile of older adults who were likely to benefit most from a strategic memory training program that has previously proved to be effective in improving memory in healthy older adults. In total, 44 older adults (60-83 years) participated in a strategic memory training. We examined memory training benefits by measuring changes in memory practiced (word list learning) and non-practiced tasks (grocery list and associative learning). In addition, a battery of cognitive measures was administered in order to assess crystallized and fluid abilities, short-term memory, working memory, and processing speed. Results confirmed the efficacy of the training in improving performance in both practiced and non-practiced memory tasks. For the practiced memory tasks, results showed that memory baseline performance and crystallized ability predicted training gains. For the non-practiced memory tasks, analyses showed that memory baseline performance was a significant predictor of gain in the grocery list learning task. For the associative learning task, the significant predictors were memory baseline performance, processing speed, and marginally the age. Our results indicate that older adults with a higher baseline memory capacity and with more efficient cognitive resources were those who tended to benefit most from the training. The present study provides new avenues in designing personalized intervention according to the older adults' cognitive profile.

Engagement matters: lessons from assessing classroom implementation of steps to respect: a bullying prevention program over a one-year period.

PubMed

Low, Sabina; Van Ryzin, Mark J; Brown, Eric C; Smith, Brian H; Haggerty, Kevin P

2014-04-01

Steps to Respect: A Bullying Prevention Program (STR) relies on a social-ecological model of prevention to increase school staff awareness and responsiveness, foster socially responsible beliefs among students, and teach social-emotional skills to students to reduce bullying behavior. As part of a school-randomized controlled trial of STR, we examined predictors and outcomes associated with classroom curriculum implementation in intervention schools. Data on classroom implementation (adherence and engagement) were collected from a sample of teachers using a weekly on-line Teacher Implementation Checklist system. Pre-post data related to school bullying-related outcomes were collected from 1,424 students and archival school demographic data were obtained from the National Center for Education Statistics. Results of multilevel analyses indicated that higher levels of program engagement were influenced by school-level percentage of students receiving free/reduced lunch, as well as classroom-level climate indicators. Results also suggest that higher levels of program engagement were related to lower levels of school bullying problems, enhanced school climate and attitudes less supportive of bullying. Predictors and outcomes related to program fidelity (i.e., adherence) were largely nonsignificant. Results suggest that student engagement is a key element of program impact, though implementation is influenced by both school-level demographics and classroom contexts.

Collective motion of predictive swarms

PubMed Central

Vural, Dervis Can

2017-01-01

Theoretical models of populations and swarms typically start with the assumption that the motion of agents is governed by the local stimuli. However, an intelligent agent, with some understanding of the laws that govern its habitat, can anticipate the future, and make predictions to gather resources more efficiently. Here we study a specific model of this kind, where agents aim to maximize their consumption of a diffusing resource, by attempting to predict the future of a resource field and the actions of other agents. Once the agents make a prediction, they are attracted to move towards regions that have, and will have, denser resources. We find that the further the agents attempt to see into the future, the more their attempts at prediction fail, and the less resources they consume. We also study the case where predictive agents compete against non-predictive agents and find the predictors perform better than the non-predictors only when their relative numbers are very small. We conclude that predictivity pays off either when the predictors do not see too far into the future or the number of predictors is small. PMID:29065136

Collective motion of predictive swarms.

PubMed

Rupprecht, Nathaniel; Vural, Dervis Can

2017-01-01

Theoretical models of populations and swarms typically start with the assumption that the motion of agents is governed by the local stimuli. However, an intelligent agent, with some understanding of the laws that govern its habitat, can anticipate the future, and make predictions to gather resources more efficiently. Here we study a specific model of this kind, where agents aim to maximize their consumption of a diffusing resource, by attempting to predict the future of a resource field and the actions of other agents. Once the agents make a prediction, they are attracted to move towards regions that have, and will have, denser resources. We find that the further the agents attempt to see into the future, the more their attempts at prediction fail, and the less resources they consume. We also study the case where predictive agents compete against non-predictive agents and find the predictors perform better than the non-predictors only when their relative numbers are very small. We conclude that predictivity pays off either when the predictors do not see too far into the future or the number of predictors is small.

Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.

PubMed

Wang, Xiao; Zhang, Jun; Li, Guo-Zheng

2015-01-01

It has become a very important and full of challenge task to predict bacterial protein subcellular locations using computational methods. Although there exist a lot of prediction methods for bacterial proteins, the majority of these methods can only deal with single-location proteins. But unfortunately many multi-location proteins are located in the bacterial cells. Moreover, multi-location proteins have special biological functions capable of helping the development of new drugs. So it is necessary to develop new computational methods for accurately predicting subcellular locations of multi-location bacterial proteins. In this article, two efficient multi-label predictors, Gpos-ECC-mPLoc and Gneg-ECC-mPLoc, are developed to predict the subcellular locations of multi-label gram-positive and gram-negative bacterial proteins respectively. The two multi-label predictors construct the GO vectors by using the GO terms of homologous proteins of query proteins and then adopt a powerful multi-label ensemble classifier to make the final multi-label prediction. The two multi-label predictors have the following advantages: (1) they improve the prediction performance of multi-label proteins by taking the correlations among different labels into account; (2) they ensemble multiple CC classifiers and further generate better prediction results by ensemble learning; and (3) they construct the GO vectors by using the frequency of occurrences of GO terms in the typical homologous set instead of using 0/1 values. Experimental results show that Gpos-ECC-mPLoc and Gneg-ECC-mPLoc can efficiently predict the subcellular locations of multi-label gram-positive and gram-negative bacterial proteins respectively. Gpos-ECC-mPLoc and Gneg-ECC-mPLoc can efficiently improve prediction accuracy of subcellular localization of multi-location gram-positive and gram-negative bacterial proteins respectively. The online web servers for Gpos-ECC-mPLoc and Gneg-ECC-mPLoc predictors are freely accessible at http://biomed.zzuli.edu.cn/bioinfo/gpos-ecc-mploc/ and http://biomed.zzuli.edu.cn/bioinfo/gneg-ecc-mploc/ respectively.

Ophthalmology Residency Match outcomes for 2011.

PubMed

Yousuf, Salman J; Jones, Leslie S

2012-03-01

To determine the match rate and predictors of matching into an ophthalmology residency. Population-based, cross-sectional study. All 746 candidates who submitted an application for the 2011 ophthalmology residency match. The Ophthalmology Residency Matching Program applicant database was reviewed to determine applicant characteristics and match outcomes. For US seniors, multivariate regression analysis was performed to determine predictors of matching. Match rate and predictors of US seniors matching. Rank lists were submitted by 622 applicants, among whom 458 (74%) matched. The match rate was higher for US seniors (83%) than for independent applicants (41%; P < 0.001). US seniors who matched were more likely to be Alpha Omega Alpha medical honor society members (odds ratio [OR], 2.94; 95% confidence interval [CI], 1.16-7.29), to attend medical schools ranked in the top 40 according to National Institutes of Health funding (OR, 2.25; CI, 1.14-4.43), and to have ranked more programs (OR, 1.44; CI, 1.29-1.60). Those ranking 6 to 10 programs had an 80% to 90% chance of matching, and those ranking more than 10 programs had a greater than 90% chance of matching. No clear benefit was observed by ranking additional programs once 11 had already been ranked. Average US Medical Licensing Examination Step 1 scores were 239 ± 14 and 223 ± 18 for applicants who were matched and unmatched, respectively; this difference was significant by univariate analysis (P < 0.001) but not by multivariate regression (P = 0.163). Ophthalmology ranks among the most competitive specialties in medicine. Those most likely to match were US seniors who maintained academic excellence beginning in their preclinical years. A finite relationship exists between ranking a greater number of programs and having a greater chance of matching. Copyright © 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Predictors of outpatient resource utilization following ventral and incisional hernia repair.

PubMed

Wade, Alex; Plymale, Margaret A; Davenport, Daniel L; Johnson, Sara E; Madabhushi, Vashisht V; Mastoroudis, Erica; Tancula, Charlie; Roth, John Scott

2018-04-01

Little is known about the predictors of increased ambulatory costs following open ventral and incisional hernia repair (VIHR); however, postoperative complications would be expected to be associated with an increased burden on outpatient resources. The purpose of this study is to evaluate the impact of perioperative factors on outpatient resource utilization following VIHR. With IRB approval, the surgery scheduling system was queried to identify all cases of VIHR done at our institution over 3 years. Cases with other procedures done at time of VIHR were excluded. National Surgical Quality Improvement Program clinical data, physician billing data which included market and payor across cases, and medical record review data were combined and evaluated in order to quantify care and predictors of usage during the 6 months postoperatively. Data were analyzed for 308 patients. Median patient age was 52 years (SD = 13.3), and over half were female. The number of outpatient visits to the surgical office varied from 0 to 18 [median = 2; interquartile range (IQR) = 1-3]. CDC Wound Class >1 was associated with increase of mean 1.4 visits (IQR: 0.5-2.3); p = 0.003. Component separation, longer duration of operation, and increased mesh size were also predictive of increased number of office visits (p < 0.01). Postoperative infected seroma/seroma requiring drainage added a mean 2.3 visits (IQR: 1.3-3.3), (p < 0.001); and deep wound infection added a mean 3.9 visits (IQR: 1.9-5.9) (p < 0.001). Postoperative complications confer a significant burden for patients and to the outpatient surgical office. In an era in which improved quality and cost-efficiency has become imperative, measures to decrease risk of postoperative complications particularly for more complex VIHR would be expected to decrease resource utilization and increase value of care.

Software development predictors, error analysis, reliability models and software metric analysis

NASA Technical Reports Server (NTRS)

Basili, Victor

1983-01-01

The use of dynamic characteristics as predictors for software development was studied. It was found that there are some significant factors that could be useful as predictors. From a study on software errors and complexity, it was shown that meaningful results can be obtained which allow insight into software traits and the environment in which it is developed. Reliability models were studied. The research included the field of program testing because the validity of some reliability models depends on the answers to some unanswered questions about testing. In studying software metrics, data collected from seven software engineering laboratory (FORTRAN) projects were examined and three effort reporting accuracy checks were applied to demonstrate the need to validate a data base. Results are discussed.

Evaluation of a disease management program for COPD using propensity matched control group

PubMed Central

George, Pradeep Paul; Heng, Bee Hoon; Lim, Tow Keang; Abisheganaden, John; Ng, Alan Wei Keong; Lim, Fong Seng

2016-01-01

Background Disease management programs (DMPs) have proliferated recently as a means of improving the quality and efficiency of care for patients with chronic illness. These programs include education about disease, optimization of evidence-based medications, information and support from case managers, and institution of self-management principles. Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality in Singapore and worldwide. DMP aims to reduce mortality, hospitalizations, and average length of stay in such patients. This study assesses the outcomes of the DMP, comparing the propensity score matched DMP patients with controls. Methods DMP patients were compared with the controls, who were COPD patients fulfilling the DMP’s inclusion criteria but not included in the program. Control patients were identified from Operations Data Store (ODS) database. The outcomes of interest were average length of stay, number of days admitted to hospital per 100 person days, readmission, and mortality rates per person year. The risk of death and readmission was estimated using Cox, and competing risk regression respectively. Propensity score was estimated to identify the predictors of DMP enrolment. DMP patients and controls were matched on their propensity score. Results There were 170 matched DMP patients and control patients having 287 and 207 hospitalizations respectively. Program patient had lower mortality than the controls (0.12 vs. 0.27 per person year); cumulative 1-year survival was 91% among program patient and 76% among the control patients. Readmission, and hospital days per 100 person-days was higher for the program patients (0.36 vs. 0.17 per person year), and (2.19 vs. 1.88 per person year) respectively. Conclusions Participation in “DMP” was associated with lower all-cause mortality when compared to the controls. This survival gain in the program patients was paradoxically associated with an increase in readmission rate and total hospital days. PMID:27499955

Evaluation of a disease management program for COPD using propensity matched control group.

PubMed

George, Pradeep Paul; Heng, Bee Hoon; Lim, Tow Keang; Abisheganaden, John; Ng, Alan Wei Keong; Verma, Akash; Lim, Fong Seng

2016-07-01

Disease management programs (DMPs) have proliferated recently as a means of improving the quality and efficiency of care for patients with chronic illness. These programs include education about disease, optimization of evidence-based medications, information and support from case managers, and institution of self-management principles. Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality in Singapore and worldwide. DMP aims to reduce mortality, hospitalizations, and average length of stay in such patients. This study assesses the outcomes of the DMP, comparing the propensity score matched DMP patients with controls. DMP patients were compared with the controls, who were COPD patients fulfilling the DMP's inclusion criteria but not included in the program. Control patients were identified from Operations Data Store (ODS) database. The outcomes of interest were average length of stay, number of days admitted to hospital per 100 person days, readmission, and mortality rates per person year. The risk of death and readmission was estimated using Cox, and competing risk regression respectively. Propensity score was estimated to identify the predictors of DMP enrolment. DMP patients and controls were matched on their propensity score. There were 170 matched DMP patients and control patients having 287 and 207 hospitalizations respectively. Program patient had lower mortality than the controls (0.12 vs. 0.27 per person year); cumulative 1-year survival was 91% among program patient and 76% among the control patients. Readmission, and hospital days per 100 person-days was higher for the program patients (0.36 vs. 0.17 per person year), and (2.19 vs. 1.88 per person year) respectively. Participation in "DMP" was associated with lower all-cause mortality when compared to the controls. This survival gain in the program patients was paradoxically associated with an increase in readmission rate and total hospital days.

Predictors of Intervention Success in a Sports-Based Program for Adolescents at Risk of Juvenile Delinquency

PubMed Central

Spruit, Anouk; van der Put, Claudia; van Vugt, Eveline; Stams, Geert Jan

2017-01-01

To prevent juvenile delinquency, there is growing interest in the use of sports-based interventions. To date, there is little empirical research that provides insights into for whom, how, and when sports-based crime prevention programs are most effective. Therefore, the current study assessed which youth, coach, and context factors were predictive of change in risk factors and protective factors for delinquency in a sports-based crime prevention program for at-risk adolescents. Participants (N = 155) and their teachers filled in questionnaires about risk and protective factors for delinquency at the start of the intervention and 13 months later. In addition, the coaches and participants filled in questionnaires about the predictors of intervention success. The youths showed significant improvements over the course of the intervention. Various youth, coach, and context factors (e.g., the type of education of youth and the sociomoral climate at the sports club) were associated to change in the outcome variables. PMID:28741394

WORK INTEREST AS A PREDICTOR OF COMPETITIVE EMPLOYMENT: POLICY IMPLICATIONS FOR PSYCHIATRIC REHABILITATION

PubMed Central

Macias, Cathaleene; DeCarlo, Lawrence T.; Wang, Qi; Frey, Jana; Barreira, Paul

2015-01-01

Consumers with serious mental illness (N=166) enrolling in two community-based mental health programs, a vocational Program of Assertive Community Treatment and a clubhouse certified by the International Center for Clubhouse Development (ICCD), were asked about their interest in work. About one third of the new enrollees expressed no interest in working. Equivalent supported employment services were then offered to all participants in each program. Stated interest in work and receipt of vocational services were statistically significant predictors of whether a person would work and how long it would take to get a job. Two thirds of those interested in work and half of those with no initial interest obtained a competitive job if they received at least one hour of vocational service. Once employed, these two groups held comparable jobs for the same length of time. These findings demonstrate the importance of making vocational services continuously available to all people with serious mental illness, and the viability of integrating these services into routine mental health care. PMID:11577655

Evaluation and comparison of the ability of online available prediction programs to predict true linear B-cell epitopes.

PubMed

Costa, Juan G; Faccendini, Pablo L; Sferco, Silvano J; Lagier, Claudia M; Marcipar, Iván S

2013-06-01

This work deals with the use of predictors to identify useful B-cell linear epitopes to develop immunoassays. Experimental techniques to meet this goal are quite expensive and time consuming. Therefore, we tested 5 free, online prediction methods (AAPPred, ABCpred, BcePred, BepiPred and Antigenic) widely used for predicting linear epitopes, using the primary structure of the protein as the only input. We chose a set of 65 experimentally well documented epitopes obtained by the most reliable experimental techniques as our true positive set. To compare the quality of the predictor methods we used their positive predictive value (PPV), i.e. the proportion of the predicted epitopes that are true, experimentally confirmed epitopes, in relation to all the epitopes predicted. We conclude that AAPPred and ABCpred yield the best results as compared with the other programs and with a random prediction procedure. Our results also indicate that considering the consensual epitopes predicted by several programs does not improve the PPV.

Predictors of Intervention Success in a Sports-Based Program for Adolescents at Risk of Juvenile Delinquency.

PubMed

Spruit, Anouk; van der Put, Claudia; van Vugt, Eveline; Stams, Geert Jan

2018-05-01

To prevent juvenile delinquency, there is growing interest in the use of sports-based interventions. To date, there is little empirical research that provides insights into for whom, how, and when sports-based crime prevention programs are most effective. Therefore, the current study assessed which youth, coach, and context factors were predictive of change in risk factors and protective factors for delinquency in a sports-based crime prevention program for at-risk adolescents. Participants ( N = 155) and their teachers filled in questionnaires about risk and protective factors for delinquency at the start of the intervention and 13 months later. In addition, the coaches and participants filled in questionnaires about the predictors of intervention success. The youths showed significant improvements over the course of the intervention. Various youth, coach, and context factors (e.g., the type of education of youth and the sociomoral climate at the sports club) were associated to change in the outcome variables.

Work interest as a predictor of competitive employment: policy implications for psychiatric rehabilitation.

PubMed

Macias, C; DeCarlo, L T; Wang, Q; Frey, J; Barreira, P

2001-03-01

Consumers with serious mental illness (N = 166) enrolling in two community-based mental health programs, a vocational Program of Assertive Community Treatment and a clubhouse certified by the International Center for Clubhouse Development (ICCD), were asked about their interest in work. About one third of the new enrollees expressed no interest in working. Equivalent supported employment services were then offered to all participants in each program. Stated interest in work and receipt of vocational services were statistically significant predictors of whether a person would work and how long it would take to get a job. Two thirds of those interested in work and half of those with no initial interest obtained a competitive job if they received at least one hour of vocational service. Once employed, these two groups held comparable jobs for the same length of time. These findings demonstrate the importance of making vocational services continuously available to all people with serious mental illness, and the viability of integrating these services into routine mental health care.

Measuring Use of Evidence-Based Psychotherapy for PTSD in VA Residential Treatment Settings with Clinician Survey and Electronic Medical Record Templates.

PubMed

Shiner, Brian; Leonard Westgate, Christine; Simiola, Vanessa; Thompson, Richard; Schnurr, Paula P; Cook, Joan M

2018-03-14

Available studies on implementation of evidence-based psychotherapy (EBP) for patients attending Department of Veterans Affairs (VA) residential post-traumatic stress disorder (PTSD) programs rely on therapist self-report of EBP delivery. Patient-level data on receipt of EBP are needed both to corroborate therapist self-report and to understand patient factors that predict receipt of EBPs for PTSD. We identified 159 therapists from 38 VA residential PTSD programs who responded to a survey about EBP implementation during the 2015 fiscal year (FY15). Therapists self-reported their use of two EBPs, including prolonged exposure delivered in an individual format (PE-I) and cognitive processing therapy delivered in individual and group formats (CPT-I and CPT-G). Using electronic medical record (EMR) templates mandated for EBP documentation in FY15, we measured contemporaneous patient-level receipt of EBPs for PTSD. We assessed the degree of correlation between therapist self-reported EBP delivery and patient receipt of EBT as measured by EMR templates using polychoric correlation coefficients. We determined patient and therapist factors that predicted the receipt of EBPs with multivariable logistic regression, using random effects and robust standard error estimation, and controlling for site. The Veterans IRB of Northern New England provided a waiver of informed consent; as this was a retrospective review, no patients or therapists were contacted, and all data were stored, transmitted, and analyzed on secure VA servers. The VA Connecticut Health Care System Human Research Protection Program approved secondary use of therapist survey data for this project. When EMR template use became mandated in FY15, the proportion of patients in residential PTSD programs who received at least one EBP session that was recorded with an EMR template increased dramatically from 8.8% to 33.9%. There was adequate correlation and between survey-based and EMR-based measures of EBP receipt, with polychoric correlation values of 0.77 for PE-I, 0.69 for CPT-I, and 0.82 for CPT-G. Multiple patient factors were positive (e.g., female gender) and negative (e.g., depressive disorders) predictors of receipt of EBPs, even after controlling for site. Among therapist factors, only EBP consultant or trainer status was a positive predictor of EBP provision and only therapist race was a negative predictor of EBT provision after controlling for site. Following a FY15 mandate, EMR templates documenting EBP delivery were widely used by therapists working in VA residential PTSD programs. EBP receipt measured using EMR templates was consistent with therapist self-report of EBT delivery. There were several patient-level predictors of EBP receipt and therapist-level predictors of EBP delivery. However, therapists most likely to deliver EBPs were clustered at a limited number of sites.

Risk estimation using probability machines

PubMed Central

2014-01-01

Background Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios. Results We show how statistical learning machines for binary outcomes, provably consistent for the nonparametric regression problem, can be used to provide both consistent conditional probability estimation and conditional effect size estimates. Effect size estimates from learning machines leverage our understanding of counterfactual arguments central to the interpretation of such estimates. We show that, if the data generating model is logistic, we can recover accurate probability predictions and effect size estimates with nearly the same efficiency as a correct logistic model, both for main effects and interactions. We also propose a method using learning machines to scan for possible interaction effects quickly and efficiently. Simulations using random forest probability machines are presented. Conclusions The models we propose make no assumptions about the data structure, and capture the patterns in the data by just specifying the predictors involved and not any particular model structure. So they do not run the same risks of model mis-specification and the resultant estimation biases as a logistic model. This methodology, which we call a “risk machine”, will share properties from the statistical machine that it is derived from. PMID:24581306

Cognitive Predictors of Word and Pseudoword Reading in Spanish First-Grade Children

PubMed Central

González-Valenzuela, María J.; Díaz-Giráldez, Félix; López-Montiel, María D.

2016-01-01

The study examines the individual and combined contribution of several cognitive variables (phonemic awareness, phonological memory, and alphanumeric and non-alphanumeric rapid naming) to word and pseudoword reading ability among first-grade Spanish children. Participants were 116 Spanish-speaking children aged 6 years and without special educational needs, all of whom were attending schools in a medium socioeconomic area. Descriptive/exploratory and bivariate analyses were performed with the data derived from three measures of reading ability (accuracy, speed, and efficiency), and hierarchical multivariate regression models were constructed. In general, the results confirm that, with the exception of non-alphanumeric rapid naming, the cognitive variables studied are predictors of reading performance for words and pseudowords, although their influence differs depending on the reading measures and type of linguistic unit considered. Phonemic awareness, phonological memory, and alphanumeric rapid naming were the best predictors of reading accuracy for words and pseudowords. Variability in the other two measures of reading ability (speed and efficiency) was best explained by alphanumeric rapid naming. These results suggest that reading is a complex skill that depends on different types of cognitive variables according to the age and/or level of the reader, the type of orthography and the type of measure used. Furthermore, they highlight the need to provide instruction in these processes from an early age so as to address or prevent the problems that children may present. PMID:27303336

Risk estimation using probability machines.

PubMed

Dasgupta, Abhijit; Szymczak, Silke; Moore, Jason H; Bailey-Wilson, Joan E; Malley, James D

2014-03-01

Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios. We show how statistical learning machines for binary outcomes, provably consistent for the nonparametric regression problem, can be used to provide both consistent conditional probability estimation and conditional effect size estimates. Effect size estimates from learning machines leverage our understanding of counterfactual arguments central to the interpretation of such estimates. We show that, if the data generating model is logistic, we can recover accurate probability predictions and effect size estimates with nearly the same efficiency as a correct logistic model, both for main effects and interactions. We also propose a method using learning machines to scan for possible interaction effects quickly and efficiently. Simulations using random forest probability machines are presented. The models we propose make no assumptions about the data structure, and capture the patterns in the data by just specifying the predictors involved and not any particular model structure. So they do not run the same risks of model mis-specification and the resultant estimation biases as a logistic model. This methodology, which we call a "risk machine", will share properties from the statistical machine that it is derived from.

Predictors of Nursing Students' Performance in a One-Semester Organic and Biochemistry Course

NASA Astrophysics Data System (ADS)

van Lanen, Robert J.; Lockie, Nancy M.; McGannon, Thomas

2000-06-01

In an effort to empower nursing students to successfully persist in chemistry, predictors of success for undergraduate nursing students enrolled in a one-semester organic and biochemistry course were identified. The sample consisted of 308 undergraduate nursing students enrolled in Chemistry 108 (Principles of Organic and Biochemistry) during a period of seven semesters. In this study, Supplemental Instruction (SI) is a nonremedial academic support program offered for Chemistry 108 students. Placement tests in Mathematics, Reading, and English are required of all entering students. The English Placement Test assesses proficiency in analytical reading and writing; the Nelson Denny Reading Test (Form E) assesses the student's understanding of written vocabulary and the mastery of reading comprehension, and the Mathematics Placement Test measures the student's mastery of arithmetic and algebraic calculations. Both demographic and academic variables were examined. For the entire sample, five predictor variables were identified: Mathematics Placement Test score, Chemistry 107 grade (a prerequisite), total number of SI sessions attended, Nelson Denny Reading Test (Form E) score, and age. Predictors for various subpopulations of the sample were also identified. Predictors for students of traditional age were Mathematics Placement Test score, total number of SI sessions attended, and Chemistry 107 grade. The best predictors for continuing education students were Chemistry 107 grade and Nelson Denny Test score.

An Adaptive Prediction-Based Approach to Lossless Compression of Floating-Point Volume Data.

PubMed

Fout, N; Ma, Kwan-Liu

2012-12-01

In this work, we address the problem of lossless compression of scientific and medical floating-point volume data. We propose two prediction-based compression methods that share a common framework, which consists of a switched prediction scheme wherein the best predictor out of a preset group of linear predictors is selected. Such a scheme is able to adapt to different datasets as well as to varying statistics within the data. The first method, called APE (Adaptive Polynomial Encoder), uses a family of structured interpolating polynomials for prediction, while the second method, which we refer to as ACE (Adaptive Combined Encoder), combines predictors from previous work with the polynomial predictors to yield a more flexible, powerful encoder that is able to effectively decorrelate a wide range of data. In addition, in order to facilitate efficient visualization of compressed data, our scheme provides an option to partition floating-point values in such a way as to provide a progressive representation. We compare our two compressors to existing state-of-the-art lossless floating-point compressors for scientific data, with our data suite including both computer simulations and observational measurements. The results demonstrate that our polynomial predictor, APE, is comparable to previous approaches in terms of speed but achieves better compression rates on average. ACE, our combined predictor, while somewhat slower, is able to achieve the best compression rate on all datasets, with significantly better rates on most of the datasets.

Predictors of Participation and Completion in a Workplace Education Program.

ERIC Educational Resources Information Center

Smith, Paula Sue; White, Bonnie Roe

1997-01-01

Responses from 351 employee participants in a workplace education program (218 completers) indicated they were mostly white, female high school graduates ages 26 to 35. Women with Test of Adult Basic Education math scores below 5.0 were less likely to complete. Those who completed higher grades in school were more likely to participate. (SK)

Predictors of Success on the National Certification Examination for Graduate Nurse Anesthetists

ERIC Educational Resources Information Center

Hoversten, Mary

2011-01-01

Numerous challenges can be associated with pursuing a degree as a Certified Registered Nurse Anesthetist (CRNA). The risk to perspective students and their nurse anesthesia programs may be lessened if success factors for program completion and passing of the national certification examination (NCE) could be identified. The purpose of this ex post…

Changes over Time in the Predictors of Athletic Training Program Commitment

ERIC Educational Resources Information Center

Weiss, Windee M.; Neibert, Peter J.

2014-01-01

Context: Understanding changes in athletic training program (ATP) commitment over time is crucial in retaining high-quality students in an ATP. Objective: The purpose of this study was to examine if changes over time in ATP commitment determinants are related to actual changes in ATP commitment. Design: Longitudinal and cross-sectional survey.…

Preparatory Year Program Courses as Predictors of First Calculus Course Grade

ERIC Educational Resources Information Center

Yushau, B; Omar, M. H

2007-01-01

This study investigates the effect of the preparatory year program courses on the first calculus course (Calculus I) at King Fahd University of Petroleum and Minerals (KFUPM). The data consists of more than 2,000 bilingual Arab university students studying in the English language, tracked over seven semesters. These students represent over 70% of…

Predictors of Commitment to Athletic Training Education

ERIC Educational Resources Information Center

Weiss, Windee M.; Neibert, Peter J.

2013-01-01

Context: In order for athletic training students to be successful in any athletic training education program (ATEP), a certain level of commitment to the program and profession is required. Objective: The purpose of this study was to explore the applicability of the sport commitment model (SCM) to an ATEP by applying the SCM in an academic setting…

Predictors of Numeracy Performance in National Testing Programs: Insights from the Longitudinal Study of Australian Children

ERIC Educational Resources Information Center

Carmichael, Colin; MacDonald, Amy; McFarland-Piazza, Laura

2014-01-01

This article is based on an exploratory study that examines factors which predict children's performance on the numeracy component of the Australian National Assessment Program--Literacy and Numeracy (NAPLAN). Utilizing an ecological theoretical model, this study examines child, home and school variables which may enable or constrain NAPLAN…

Parental Attributions and Perceived Intervention Benefits and Obstacles as Predictors of Maternal Engagement in a Preventive Parenting Program

ERIC Educational Resources Information Center

Nordstrom, Alicia H.; Dumas, Jean E.; Gitter, Alexandra H.

2008-01-01

This study integrates and applies theoretical models linking parent cognitions to maternal engagement in a parenting program to prevent child aggression and conduct problems. African American and European American mothers of preschoolers (N = 347) reported on their child's behavior, family demographics, and parental cognitions (i.e., parenting…

Students' Attitudes toward Science as Predictors of Gains on Student Content Knowledge: Benefits of an After-School Program

ERIC Educational Resources Information Center

Newell, Alana D.; Zientek, Linda R.; Tharp, Barbara Z.; Vogt, Gregory L.; Moreno, Nancy P.

2015-01-01

High-quality after-school programs devoted to science have the potential to enhance students' science knowledge and attitudes, which may impact their decisions about pursuing science-related careers. Because of the unique nature of these informal learning environments, an understanding of the relationships among aspects of students' content…

Testing the Efficacy of a Scholarship Program for Single Parent, Post-Freshmen, Full Time Undergraduates

ERIC Educational Resources Information Center

Carpenter, Dick M., II; Kaka, Sarah J.; Tygret, Jennifer A.; Cathcart, Katy

2018-01-01

This study examines the efficacy of a scholarship program designed to assist single parent, post-freshmen, full time undergraduate students and predictors of success among a sample of said students, where success is defined as progress toward completion, academic achievement, and degree completion. Results of fixed effects regression and…

Can a "Psychosocial Model" Help Explain Violence Perpetrated by Female Batterers?

ERIC Educational Resources Information Center

Ferreira, Regardt J.; Buttell, Frederick P.

2016-01-01

Objective: The purpose of the study was to evaluate the psychosocial predictors of propensity for abusiveness among a large sample of women ordered into a 26-week batterer intervention program (BIP). Method: The study employed a nonequivalent, control group design (comparing program completers to dropouts) in a secondary analysis of 485 women.…

Vegetable and Fruit Breaks in Australian Primary Schools: Prevalence, Attitudes, Barriers and Implementation Strategies

ERIC Educational Resources Information Center

Nathan, Nicole; Wolfenden, Luke; Butler, Michelle; Bell, Andrew Colin; Wyse, Rebecca; Campbell, Elizabeth; Milat, Andrew J.; Wiggers, John

2011-01-01

School-based vegetable and fruit programs can increase student consumption of vegetables and fruit and have been recommended for adoption by Australian schools since 2005. An understanding of the prevalence and predictors of and the barriers to the adoption of school-based vegetable and fruit programs is necessary to maximize their adoption by…

Computer programs for optical dendrometer measurements of standing tree profiles

Treesearch

Jacob R. Beard; Thomas G. Matney; Emily B. Schultz

2015-01-01

Tree profile equations are effective volume predictors. Diameter data for building these equations are collected from felled trees using diameter tapes and calipers or from standing trees using optical dendrometers. Developing and implementing a profile function from the collected data is a tedious and error prone task. This study created a computer program, Profile...

Computerized test versus personal interview as admission methods for graduate nursing studies: A retrospective cohort study.

PubMed

Hazut, Koren; Romem, Pnina; Malkin, Smadar; Livshiz-Riven, Ilana

2016-12-01

The purpose of this study was to compare the predictive validity, economic efficiency, and faculty staff satisfaction of a computerized test versus a personal interview as admission methods for graduate nursing studies. A mixed method study was designed, including cross-sectional and retrospective cohorts, interviews, and cost analysis. One hundred and thirty-four students in the Master of Nursing program participated. The success of students in required core courses was similar in both admission method groups. The personal interview method was found to be a significant predictor of success, with cognitive variables the only significant contributors to the model. Higher satisfaction levels were reported with the computerized test compared with the personal interview method. The cost of the personal interview method, in annual hourly work, was 2.28 times higher than the computerized test. These findings may promote discussion regarding the cost benefit of the personal interview as an admission method for advanced academic studies in healthcare professions. © 2016 John Wiley & Sons Australia, Ltd.

The Asthma Management Program as a Predictor of Emergency Room Visits and Hospitalizations at David Grant USAF Medical Center

DTIC Science & Technology

1998-08-01

tracked continuously, Asthma Management 2 thereby adding new opportunities for patient education other than at the hospital or physician’s office...avoided with more consistent patient education and follow-up (Collins, Goodman & McQueston, 1995). Asthma Management Program at DGMC The Asthma...management, 2) objective measures of lung function, 3) environmental control, and 4) patient education . Proactive case management programs that

The Relationship between Admission Criteria and TExES Generalist EC-6: An Archival Study of Predictors of Future Success in the Teacher Preparation Program at a Historical Black College in Southwest Texas

ERIC Educational Resources Information Center

Warren, Sonja Barnes

2017-01-01

A Review of the Nation's Teacher Preparation Programs, which studies and analyzes the results of all the teacher education programs and teacher candidates' examination scores in the United States, reveals disturbing statistics about the performance of teacher candidates on their certification examinations and the adverse effects this poor…

AN ATTEMPT TO FIND AN A PRIORI MEASURE OF STEP SIZE. COMPARATIVE STUDIES OF PRINCIPLES FOR PROGRAMMING MATHEMATICS IN AUTOMATED INSTRUCTION, TECHNICAL REPORT NO. 13.

ERIC Educational Resources Information Center

ROSEN, ELLEN F.; STOLUROW, LAWRENCE M.

IN ORDER TO FIND A GOOD PREDICTOR OF EMPIRICAL DIFFICULTY, AN OPERATIONAL DEFINITION OF STEP SIZE, TEN PROGRAMER-JUDGES RATED CHANGE IN COMPLEXITY IN TWO VERSIONS OF A MATHEMATICS PROGRAM, AND THESE RATINGS WERE THEN COMPARED WITH MEASURES OF EMPIRICAL DIFFICULTY OBTAINED FROM STUDENT RESPONSE DATA. THE TWO VERSIONS, A 54 FRAME BOOKLET AND A 35…

College Success of Technical College Preparation and Dual Credit Program Students versus Non-Program Students: A Comparative Analysis at a Midwestern Community College

ERIC Educational Resources Information Center

Payton-Adams, Minnie

2014-01-01

The purpose of this quantitative study was to examine the impact of the number of college credits earned in Technical College Preparation (Tech Prep) and Dual Credit (College Now) programs as a predictor of continued success after high school, as measured by first-year college GPA at a Midwest Community College. This study looked at how the…

Automated Knowledge Discovery From Simulators

NASA Technical Reports Server (NTRS)

Burl, Michael; DeCoste, Dennis; Mazzoni, Dominic; Scharenbroich, Lucas; Enke, Brian; Merline, William

2007-01-01

A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators. Simulators are complex computer programs used in science and engineering to model diverse phenomena such as fluid flow, gravitational interactions, coupled mechanical systems, and nuclear, chemical, and biological processes. SimLearn uses active-learning techniques to efficiently address the "landscape characterization problem." In particular, SimLearn tries to determine which regions in "input space" lead to a given output from the simulator, where "input space" refers to an abstraction of all the variables going into the simulator, e.g., initial conditions, parameters, and interaction equations. Landscape characterization can be viewed as an attempt to invert the forward mapping of the simulator and recover the inputs that produce a particular output. Given that a single simulation run can take days or weeks to complete even on a large computing cluster, SimLearn attempts to reduce costs by reducing the number of simulations needed to effect discoveries. Unlike conventional data-mining methods that are applied to static predefined datasets, SimLearn involves an iterative process in which a most informative dataset is constructed dynamically by using the simulator as an oracle. On each iteration, the algorithm models the knowledge it has gained through previous simulation trials and then chooses which simulation trials to run next. Running these trials through the simulator produces new data in the form of input-output pairs. The overall process is embodied in an algorithm that combines support vector machines (SVMs) with active learning. SVMs use learning from examples (the examples are the input-output pairs generated by running the simulator) and a principle called maximum margin to derive predictors that generalize well to new inputs. In SimLearn, the SVM plays the role of modeling the knowledge that has been gained through previous simulation trials. Active learning is used to determine which new input points would be most informative if their output were known. The selected input points are run through the simulator to generate new information that can be used to refine the SVM. The process is then repeated. SimLearn carefully balances exploration (semi-randomly searching around the input space) versus exploitation (using the current state of knowledge to conduct a tightly focused search). During each iteration, SimLearn uses not one, but an ensemble of SVMs. Each SVM in the ensemble is characterized by different hyper-parameters that control various aspects of the learned predictor - for example, whether the predictor is constrained to be very smooth (nearby points in input space lead to similar output predictions) or whether the predictor is allowed to be "bumpy." The various SVMs will have different preferences about which input points they would like to run through the simulator next. SimLearn includes a formal mechanism for balancing the ensemble SVM preferences so that a single choice can be made for the next set of trials.

Attendance and graduation patterns in a group-model health maintenance organization alternative cardiac rehabilitation program.

PubMed

Ratchford, Andria M; Hamman, Richard F; Regensteiner, Judith G; Magid, David J; Gallagher, Stacy Brennan; Merenich, John A

2004-01-01

Poor rates of participation in cardiac rehabilitation programs are well documented, especially among women and older patients. The Colorado Kaiser Permanente Cardiac Rehabilitation (KPCR) program is a home-based, case-managed, goal-oriented program with an active recruitment process and unlimited program length. This study evaluated the participation rates for the program and the predictors of attendance and graduation. Patients hospitalized with acute myocardial infarction, coronary artery bypass graft, and percutaneous coronary intervention from June 1999 to May 2000 (n = 1030) were identified from the administrative database, and the proportion captured by the KPCR staff was determined. Subsequent attendance and graduation patterns were evaluated. Nearly 94% of patients with one of the three aforementioned conditions were identified by the rehabilitation staff, and 41% of all patients attended the KPCR program. More than 75% of the patients who participated went on to graduate from the program. Gender comparisons showed no difference in participation between men (66.8%) and women (59.7%) (P =.07). Participation rates were inversely associated with age, yet age was not associated with graduation from the program. Surgical interventions and two or more events experienced within the first 4 weeks of the index event were the strongest predictors of attendance and graduation from the KPCR program. Innovative approaches for the capture and retention of patients in cardiac rehabilitation programs are urgently needed. The alternative program evaluated in this study showed little difference in participation between men and women, yet participation among older patients remained poor. Overall, patients who underwent surgical interventions or multiple events were more likely to attend and graduate from the program.

How much can we gain from improved efficiency? An examination of performance of national HIV/AIDS programs and its determinants in low- and middle-income countries

PubMed Central

2012-01-01

Background The economic downturn exacerbates the inadequacy of resources for combating the worldwide HIV/AIDS pandemic and amplifies the need to improve the efficiency of HIV/AIDS programs. Methods We used data envelopment analysis (DEA) to evaluate efficiency of national HIV/AIDS programs in transforming funding into services and implemented a Tobit model to identify determinants of the efficiency in 68 low- and middle-income countries. We considered the change from the lowest quartile to the average value of a variable a "notable" increase. Results Overall, the average efficiency in implementing HIV/AIDS programs was moderate (49.8%). Program efficiency varied enormously among countries with means by quartile of efficiency of 13.0%, 36.4%, 54.4% and 96.5%. A country's governance, financing mechanisms, and economic and demographic characteristics influence the program efficiency. For example, if countries achieved a notable increase in "voice and accountability" (e.g., greater participation of civil society in policy making), the efficiency of their HIV/AIDS programs would increase by 40.8%. For countries in the lowest quartile of per capita gross national income (GNI), a notable increase in per capita GNI would increase the efficiency of AIDS programs by 45.0%. Conclusions There may be substantial opportunity for improving the efficiency of AIDS services, by providing more services with existing resources. Actions beyond the health sector could be important factors affecting HIV/AIDS service delivery. PMID:22443135

What basic number processing measures in kindergarten explain unique variability in first-grade arithmetic proficiency?

PubMed

Bartelet, Dimona; Vaessen, Anniek; Blomert, Leo; Ansari, Daniel

2014-01-01

Relations between children's mathematics achievement and their basic number processing skills have been reported in both cross-sectional and longitudinal studies. Yet, some key questions are currently unresolved, including which kindergarten skills uniquely predict children's arithmetic fluency during the first year of formal schooling and the degree to which predictors are contingent on children's level of arithmetic proficiency. The current study assessed kindergarteners' non-symbolic and symbolic number processing efficiency. In addition, the contribution of children's underlying magnitude representations to differences in arithmetic achievement was assessed. Subsequently, in January of Grade 1, their arithmetic proficiency was assessed. Hierarchical regression analysis revealed that children's efficiency to compare digits, count, and estimate numerosities uniquely predicted arithmetic differences above and beyond the non-numerical factors included. Moreover, quantile regression analysis indicated that symbolic number processing efficiency was consistently a significant predictor of arithmetic achievement scores regardless of children's level of arithmetic proficiency, whereas their non-symbolic number processing efficiency was not. Finally, none of the task-specific effects indexing children's representational precision was significantly associated with arithmetic fluency. The implications of the results are 2-fold. First, the findings indicate that children's efficiency to process symbols is important for the development of their arithmetic fluency in Grade 1 above and beyond the influence of non-numerical factors. Second, the impact of children's non-symbolic number processing skills does not depend on their arithmetic achievement level given that they are selected from a nonclinical population. Copyright © 2013 Elsevier Inc. All rights reserved.

Predicting In-State Workforce Retention After Graduate Medical Education Training.

PubMed

Koehler, Tracy J; Goodfellow, Jaclyn; Davis, Alan T; Spybrook, Jessaca; vanSchagen, John E; Schuh, Lori

2017-02-01

There is a paucity of literature when it comes to identifying predictors of in-state retention of graduate medical education (GME) graduates, such as the demographic and educational characteristics of these physicians. The purpose was to use demographic and educational predictors to identify graduates from a single Michigan GME sponsoring institution, who are also likely to practice medicine in Michigan post-GME training. We included all residents and fellows who graduated between 2000 and 2014 from 1 of 18 GME programs at a Michigan-based sponsoring institution. Predictor variables identified by logistic regression with cross-validation were used to create a scoring tool to determine the likelihood of a GME graduate to practice medicine in the same state post-GME training. A 6-variable model, which included 714 observations, was identified. The predictor variables were birth state, program type (primary care versus non-primary care), undergraduate degree location, medical school location, state in which GME training was completed, and marital status. The positive likelihood ratio (+LR) for the scoring tool was 5.31, while the negative likelihood ratio (-LR) was 0.46, with an accuracy of 74%. The +LR indicates that the scoring tool was useful in predicting whether graduates who trained in a Michigan-based GME sponsoring institution were likely to practice medicine in Michigan following training. Other institutions could use these techniques to identify key information that could help pinpoint matriculating residents/fellows likely to practice medicine within the state in which they completed their training.

Evaluation of seven aquatic sampling methods for amphibians and other aquatic fauna

USGS Publications Warehouse

Gunzburger, M.S.

2007-01-01

To design effective and efficient research and monitoring programs researchers must have a thorough understanding of the capabilities and limitations of their sampling methods. Few direct comparative studies exist for aquatic sampling methods for amphibians. The objective of this study was to simultaneously employ seven aquatic sampling methods in 10 wetlands to compare amphibian species richness and number of individuals detected with each method. Four sampling methods allowed counts of individuals (metal dipnet, D-frame dipnet, box trap, crayfish trap), whereas the other three methods allowed detection of species (visual encounter, aural, and froglogger). Amphibian species richness was greatest with froglogger, box trap, and aural samples. For anuran species, the sampling methods by which each life stage was detected was related to relative length of larval and breeding periods and tadpole size. Detection probability of amphibians varied across sampling methods. Box trap sampling resulted in the most precise amphibian count, but the precision of all four count-based methods was low (coefficient of variation > 145 for all methods). The efficacy of the four count sampling methods at sampling fish and aquatic invertebrates was also analyzed because these predatory taxa are known to be important predictors of amphibian habitat distribution. Species richness and counts were similar for fish with the four methods, whereas invertebrate species richness and counts were greatest in box traps. An effective wetland amphibian monitoring program in the southeastern United States should include multiple sampling methods to obtain the most accurate assessment of species community composition at each site. The combined use of frogloggers, crayfish traps, and dipnets may be the most efficient and effective amphibian monitoring protocol. ?? 2007 Brill Academic Publishers.

Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Messenger, Mike; Bharvirkar, Ranjit; Golemboski, Bill

Public and private funding for end-use energy efficiency actions is expected to increase significantly in the United States over the next decade. For example, Barbose et al (2009) estimate that spending on ratepayer-funded energy efficiency programs in the U.S. could increase frommore » $3.1 billion in 2008 to $$7.5 and 12.4 billion by 2020 under their medium and high scenarios. This increase in spending could yield annual electric energy savings ranging from 0.58% - 0.93% of total U.S. retail sales in 2020, up from 0.34% of retail sales in 2008. Interest in and support for energy efficiency has broadened among national and state policymakers. Prominent examples include {approx}$$18 billion in new funding for energy efficiency programs (e.g., State Energy Program, Weatherization, and Energy Efficiency and Conservation Block Grants) in the 2009 American Recovery and Reinvestment Act (ARRA). Increased funding for energy efficiency should result in more benefits as well as more scrutiny of these results. As energy efficiency becomes a more prominent component of the U.S. national energy strategy and policies, assessing the effectiveness and energy saving impacts of energy efficiency programs is likely to become increasingly important for policymakers and private and public funders of efficiency actions. Thus, it is critical that evaluation, measurement, and verification (EM&V) is carried out effectively and efficiently, which implies that: (1) Effective program evaluation, measurement, and verification (EM&V) methodologies and tools are available to key stakeholders (e.g., regulatory agencies, program administrators, consumers, and evaluation consultants); and (2) Capacity (people and infrastructure resources) is available to conduct EM&V activities and report results in ways that support program improvement and provide data that reliably compares achieved results against goals and similar programs in other jurisdictions (benchmarking). The National Action Plan for Energy Efficiency (2007) presented commonly used definitions for EM&V in the context of energy efficiency programs: (1) Evaluation (E) - The performance of studies and activities aimed at determining the effects and effectiveness of EE programs; (2) Measurement and Verification (M&V) - Data collection, monitoring, and analysis associated with the calculation of gross energy and demand savings from individual measures, sites or projects. M&V can be a subset of program evaluation; and (3) Evaluation, Measurement, and Verification (EM&V) - This term is frequently seen in evaluation literature. EM&V is a catchall acronym for determining both the effectiveness of program designs and estimates of load impacts at the portfolio, program and project level. This report is a scoping study that assesses current practices and methods in the evaluation, measurement and verification (EM&V) of ratepayer-funded energy efficiency programs, with a focus on methods and practices currently used for determining whether projected (ex-ante) energy and demand savings have been achieved (ex-post). M&V practices for privately-funded energy efficiency projects (e.g., ESCO projects) or programs where the primary focus is greenhouse gas reductions were not part of the scope of this study. We identify and discuss key purposes and uses of current evaluations of end-use energy efficiency programs, methods used to evaluate these programs, processes used to determine those methods; and key issues that need to be addressed now and in the future, based on discussions with regulatory agencies, policymakers, program administrators, and evaluation practitioners in 14 states and national experts in the evaluation field. We also explore how EM&V may evolve in a future in which efficiency funding increases significantly, innovative mechanisms for rewarding program performance are adopted, the role of efficiency in greenhouse gas mitigation is more closely linked, and programs are increasingly funded from multiple sources often with multiple program administrators and intended to meet multiple purposes.« less

Predicting success in an online parenting intervention: the role of child, parent, and family factors.

PubMed

Dittman, Cassandra K; Farruggia, Susan P; Palmer, Melanie L; Sanders, Matthew R; Keown, Louise J

2014-04-01

The present study involved an examination of the extent to which a wide range of child, parent, family, and program-related factors predicted child behavior and parenting outcomes after participation in an 8-session online version of the Triple P-Positive Parenting Program. Participants were mothers and fathers of 97 children aged between 3 and 8 years displaying elevated levels of disruptive behavior problems. For both mothers and fathers, poorer child behavior outcomes at postintervention were predicted by the number of sessions of the intervention completed by the family. For mothers, postintervention child behavior was also predicted by the quality of the mother-child relationship at baseline; for fathers, baseline child behavior severity was an additional predictor. Mothers' postintervention ineffective parenting was predicted by session completion and preintervention levels of ineffective parenting, whereas the only predictor of fathers' ineffective parenting at postintervention was preintervention levels of ineffective parenting. Socioeconomic risk, parental adjustment, and father participation in the intervention were not significant predictors of mother- or father-reported treatment outcomes. The implications of the findings for the provision of online parenting support are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Retrospective evaluation of factors that influence the implementation of CATCH in southern Illinois schools.

PubMed

Bice, Matthew R; Brown, Stephen L; Parry, Thomas

2014-09-01

Coordinated Approach to Child Health (CATCH) is a school health program implemented in southern Illinois that focuses on physical activity and nutrition and consists of a classroom curriculum, physical education framework, and cafeteria guidelines. Though many schools agreed to implement CATCH, some schools implemented it better than others. This study examined implementation practices of classroom and physical education teachers and cafeteria supervisors. We surveyed 284 school employees at 36 elementary schools located in southern Illinois. Attention focused on organizational readiness, commitment to change, school leadership, implementation barriers, and innovation perceptions concerning degree of implementation of CATCH. Organizational readiness and implementation barriers were significant predictors of degree of implementation for school employees. Additionally, organizational readiness was reported a significant predictor of classroom teacher degree of implementation whereas leadership was a significant predictor of degree of implementation by physical education teachers. Data from this study can be used to enhance implementation of CATCH as well as other school health programs. This study provides educators evidence of why school employees have different implementation practices, evidence of what constructs influence degree of implementation most, and some explanation of school employee degree of implementation. © 2014 Society for Public Health Education.

Transportation Energy Efficiency Program (TEEP) Report Abstracts

DOT National Transportation Integrated Search

1977-04-15

This bibliography summarizes the published research accomplished for the Department of Transportation's Transportation Energy Efficiency Program and its predecessor, the Automotive Energy Efficiency Program. The reports are indexed by corporate autho...

Does school suspension affect subsequent youth nonviolent antisocial behavior? A longitudinal study of students in Victoria, Australia and Washington State, United States

PubMed Central

Hemphill, Sheryl A.; Kotevski, Aneta; Herrenkohl, Todd I.; Smith, Rachel; Toumbourou, John W.; Catalano, Richard F.

2013-01-01

School suspension has been not only associated with negative behaviours but is predictive of future poor outcomes. The current study investigates a) whether school suspension is a unique predictor of youth nonviolent antisocial behaviour (NVAB) relative to other established predictors, and b) whether the predictors of NVAB are similar in Australia and the United States (U.S.). The data analysed here draws on two state-wide representative samples of Grade 7 and 9 students in Victoria, Australia and Washington State, U.S., resurveyed at 12-month follow-up (N = 3,677, 99% retention). School suspension did not uniquely predict NVAB in the final model. The predictors of NVAB, similar across states, included previous student NVAB; current alcohol and tobacco use; poor family management; association with antisocial friends; and low commitment to school. An implication of the findings is that U.S. evidence-based prevention programs targeting the influences investigated here could be trialled in Australia. PMID:24860192

Pharmacy Residency School-wide Match Rates and Modifiable Predictors in ACPE-accredited Colleges and Schools of Pharmacy

PubMed Central

Whittaker, Alana; Shan, Guogen

2017-01-01

Objective. To analyze the modifiable predictors of institution-wide residency match rates. Methods. This was a retrospective analysis of colleges and schools of pharmacy data and school-wide PGY-1 pharmacy residency match rates for 2013 through 2015. Independent variables included NAPLEX passing rates, history of ACPE probation, NIH funding, academic health center affiliation, dual-degree availability, program length, admit-to-applicant ratio, class size, tuition, student-driven research, clinically focused academic tracks, residency affiliation, U.S. News & World Report rankings, and minority enrollment. Results. In a repeated measures model, predictors of match results were NAPLEX pass rate, class size, academic health center affiliation, admit-to-applicant ratio, U.S. News & World Report rankings, and minority enrollment. Conclusion. Indicators of student achievement, college/school reputation, affiliations, and class demographics were significant predictors of institution-wide residency match rates. Further research is needed to understand how changes in these factors may influence overall match rates. PMID:29367773

Pharmacy Residency School-wide Match Rates and Modifiable Predictors in ACPE-accredited Colleges and Schools of Pharmacy.

PubMed

Whittaker, Alana; Smith, Katherine P; Shan, Guogen

2017-12-01

Objective. To analyze the modifiable predictors of institution-wide residency match rates. Methods. This was a retrospective analysis of colleges and schools of pharmacy data and school-wide PGY-1 pharmacy residency match rates for 2013 through 2015. Independent variables included NAPLEX passing rates, history of ACPE probation, NIH funding, academic health center affiliation, dual-degree availability, program length, admit-to-applicant ratio, class size, tuition, student-driven research, clinically focused academic tracks, residency affiliation, U.S. News & World Report rankings, and minority enrollment. Results. In a repeated measures model, predictors of match results were NAPLEX pass rate, class size, academic health center affiliation, admit-to-applicant ratio, U.S. News & World Report rankings, and minority enrollment. Conclusion. Indicators of student achievement, college/school reputation, affiliations, and class demographics were significant predictors of institution-wide residency match rates. Further research is needed to understand how changes in these factors may influence overall match rates.

A study of the factors affecting advancement and graduation for engineering students

NASA Astrophysics Data System (ADS)

Fletcher, John Thomas

The purpose of this study was, first, to determine whether a set of predictor variables could be identified from pre-enrollment and post-enrollment data that would differentiate students who advance to a major in engineering from non-advancers and, further, to determine if the predictor variables would differentiate students who graduate from the College of Engineering from non-graduates and graduates of other colleges at Auburn University. A second purpose was to determine if the predictor variables would correctly identify male and female students with the same degree of accuracy. The third purpose was to determine if there were significant relationships between the predictor variables studied and grades earned in a set of 15 courses that have enrollments over 100 students and are part of the pre-engineering curriculum. The population for this study was the 868 students who entered the pre-engineering program at Auburn University as freshmen during the Summer and Fall Quarters of 1991. The variables selected to differentiate the different groups were ACT scores, high school grade indices, and first quarter college grade point average. Two sets of classification matrices were developed using analysis and holdout samples that were divided based on sex. With respect to the question about advancement to the professional engineering program, structure coefficients derived from discriminant analysis procedures performed on all the cases combined indicated that first quarter college grade point average, high school math index, ACT math score, and high school science grade index were important predictor variables in classifying students who advanced to the professional engineering program and those who did not. Further, important structure coefficients with respect to graduation with a degree from the College of Engineering were first quarter college grade point average, high school math index, ACT math score, and high school science grade index. The results of this study indicated that significant differences existed in the model's ability to predict advancement and graduation for male and female students. This difference was not unexpected based on the male-dominated population. However, the models identified predicted at a high rate for both male and female students. Finally, many significant relationships were found to exist between the predictor variables and the 15 pre-engineering courses that were selected. The strength of the relationships ranged from a high of .82, p < .001 (Chemistry 103 grade with total high school grade index) to a low of .07, p > .05 (Chemistry 102 with ACT science score).

Assessing program efficiency: a time and motion study of the Mental Health Emergency Care - Rural Access Program in NSW Australia.

PubMed

Saurman, Emily; Lyle, David; Kirby, Sue; Roberts, Russell

2014-07-31

The Mental Health Emergency Care-Rural Access Program (MHEC-RAP) is a telehealth solution providing specialist emergency mental health care to rural and remote communities across western NSW, Australia. This is the first time and motion (T&M) study to examine program efficiency and capacity for a telepsychiatry program. Clinical services are an integral aspect of the program accounting for 6% of all activities and 50% of the time spent conducting program activities, but half of this time is spent completing clinical paperwork. This finding emphasizes the importance of these services to program efficiency and the need to address variability of service provision to impact capacity. Currently, there is no efficiency benchmark for emergency telepsychiatry programs. Findings suggest that MHEC-RAP could increase its activity without affecting program responsiveness. T&M studies not only determine activity and time expenditure, but have a wider application assessing program efficiency by understanding, defining, and calculating capacity. T&M studies can inform future program development of MHEC-RAP and similar telehealth programs, both in Australia and overseas.

Predictors of Place of Death of Individuals in a Home-Based Primary and Palliative Care Program.

PubMed

Prioleau, Phoebe G; Soones, Tacara N; Ornstein, Katherine; Zhang, Meng; Smith, Cardinale B; Wajnberg, Ania

2016-11-01

To investigate factors associated with place of death of individuals in the Mount Sinai Visiting Doctors Program (MSVD). A retrospective chart review was performed of all MSVD participants who died in 2012 to assess predictors of place of death in the last month of life. MSVD, a home-based primary and palliative care program in New York. MSVD participants who were discharged from the program because of death between January 2012 and December 2012 and died at home, in inpatient hospice, or in the hospital (N = 183). Electronic medical records were reviewed to collect information on demographic characteristics, physician visits, and end-of-life conversations. Of 183 participants, 103 (56%) died at home, approximately twice the national average; 28 (15%) died in inpatient hospice; and 52 (28%) died in the hospital. Bivariate analyses showed that participants who were white, aged 90 and older, non-Medicaid, or had a recorded preference for place of death were more likely to die outside the hospital. Diagnoses and living situation were not significantly associated with place of death. Multivariate logistic regression analysis showed no statistical association between place of death and home visits in the last month of life (odds ratio = 1.21, 95% confidence interval = 0.52-2.77). Home-based primary and palliative care results in a high likelihood of nonhospital death, although certain demographic characteristics are strong predictors of death in the hospital. For MSVD participants, home visits in the last month of life were not associated with death outside the hospital. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.

PubMed

Pan, Yue; Liu, Hongmei; Metsch, Lisa R; Feaster, Daniel J

2017-02-01

HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predicting HIV testing uptake among substance users in substance use disorder treatment programs by applying random forest (RF), a robust multivariate statistical learning method. We also provide a descriptive introduction to this method for those who are unfamiliar with it. We used data from the National Institute on Drug Abuse Clinical Trials Network HIV testing and counseling study (CTN-0032). A total of 1281 HIV-negative or status unknown participants from 12 US community-based substance use disorder treatment programs were included and were randomized into three HIV testing and counseling treatment groups. The a priori primary outcome was self-reported receipt of HIV test results. Classification accuracy of RF was compared to logistic regression, a standard statistical approach for binary outcomes. Variable importance measures for the RF model were used to select the most relevant variables. RF based models produced much higher classification accuracy than those based on logistic regression. Treatment group is the most important predictor among all covariates, with a variable importance index of 12.9%. RF variable importance revealed that several types of condomless sex behaviors, condom use self-efficacy and attitudes towards condom use, and level of depression are the most important predictors of receipt of HIV testing results. There is a non-linear negative relationship between count of condomless sex acts and the receipt of HIV testing. In conclusion, RF seems promising in discovering important factors related to HIV testing uptake among large numbers of predictors and should be encouraged in future HIV prevention and treatment research and intervention program evaluations.

Assessment of the Impact of Teaching Demands on Research Productivity Among Doctoral Nursing Program Faculty.

PubMed

Smeltzer, Suzanne C; Cantrell, Mary Ann; Sharts-Hopko, Nancy C; Heverly, Mary Ann; Jenkinson, Amanda; Nthenge, Serah

2016-01-01

This article reports the findings of a study that examined the research and scholarship productivity of doctorally prepared nursing faculty teaching and mentoring doctoral students and the conflicting demands on them to maintain programs of research and scholarship. The specific aims were to (a) examine the research productivity and scholarship of faculty members teaching in doctoral programs and mentoring doctoral students to examine the perceived effectiveness of existing institutional mechanisms to support scholarship, (b) explore institutional features and personal practices used by doctoral program faculty to develop and maintain research and scholarship productivity, and (c) analyze predictors of scholarship productivity. Data were collected via an on-line researcher-developed survey that examined doctoral faculty roles/responsibilities and their relationship to their scholarly productivity, overall research productivity, and institutional features and personal practices to support research/scholarship activities. Survey respondents reported spending a large amount of time engaged in research-related activities with 58.9% (n = 326) spending anywhere from 6 to 20 hours per week conducting research, writing research-based papers, giving presentations, grant writing, or conducting evidence-based improvement projects. Scholar productivity among the respondents was robust. Personal practices that most strongly supported faculty members' scholarship productivity were the belief that engaging in scholarship made them better teachers and the personal gratification in experiencing doctoral students' successes. A multiple regression analysis conducted to determine predictors of productivity indicated that the strongest predictor was the average number of hours spent on research/scholarship-related activities, followed by time bought out from teaching and other responsibilities of the faculty role for research. Copyright © 2016 Elsevier Inc. All rights reserved.

Does alcohol advertising promote adolescent drinking? Results from a longitudinal assessment.

PubMed

Ellickson, Phyllis L; Collins, Rebecca L; Hambarsoomians, Katrin; McCaffrey, Daniel F

2005-02-01

To examine the relationship between exposure to different forms of alcohol advertising and subsequent drinking among US adolescents and assess whether exposure to an alcohol and drug prevention program mitigates any such relationship. Regression models with multiple control variables examined the relationship between exposure to alcohol advertising in grade 8 and grade 9 drinking for two groups of South Dakotan adolescents: (1) seventh-grade non-drinkers (n = 1206) and (2) seventh-grade drinkers (n = 1905). Interactions between the intervention program and the significant advertising predictors were tested. Forty-one middle schools in South Dakota, USA. A total of 3111 seventh-graders followed through grade 9. Advertising variables were constructed for four types of alcohol advertising-television, in-store displays, magazines and concession stands. Other predictors tested included measures tapping social influences, social bonds, problem behavior, alcohol beliefs, television exposure and demographics. For seventh-grade non-drinkers, exposure to in-store beer displays predicted drinking onset by grade 9; for seventh-grade drinkers, exposure to magazines with alcohol advertisements and to beer concession stands at sports or music events predicted frequency of grade 9 drinking. Although exposure to television beer advertising had a significant bivariate relationship with alcohol use for grade 7 non-drinkers, it was not a significant predictor of drinking for either group in multivariate analyses. Participation in the prevention program, ALERT Plus, reduced future drinking for both groups and counteracted the effect of in-store beer displays. Several forms of alcohol advertising predict adolescent drinking; which sources dominate depends on the child's prior experience with alcohol. Alcohol prevention programs and policies should help children counter alcohol advertising from multiple sources and limit exposure to these sources.

Improvement in HOMA-IR is an independent predictor of reduced carotid intima-media thickness in obese adolescents participating in an interdisciplinary weight-loss program.

PubMed

de Lima Sanches, Priscila; de Mello, Marco Túlio; Elias, Natália; Fonseca, Francisco Antonio Helfenstein; de Piano, Aline; Carnier, June; Oyama, Lila Missae; Tock, Lian; Tufik, Sergio; Dâmaso, Ana Raimunda

2011-02-01

The aim of this study was to verify whether a 1-year interdisciplinary weight-loss program improved common carotid artery intima-media thickness (IMT) and whether insulin resistance and/or inflammation (as measured by the markers plasminogen activator inhibitor type-1 and adiponectin) might underlie obesity in adolescents. A group of 29 post-pubescent obese adolescents were submitted to an interdisciplinary intervention over the course of 1 year. Common carotid artery IMT was determined ultrasonographically. Body composition, blood pressure (BP), glycemia, insulinemia, homeostasis model assessment of insulin resistance (HOMA-IR), lipid profile and adipokine concentrations were analyzed before and after the intervention. The interdisciplinary weight-loss program promoted a significant improvement in body composition, insulin concentration, HOMA-IR, lipid profile, BP and inflammatory state, in addition to significantly decreasing the common carotid artery IMT. Furthermore, this study demonstrated that the difference between baseline and final values of HOMA-IR (ΔHOMA-IR) was negatively correlated with concomitant changes in the adiponectin concentration (Δadiponectin; r=-0.42; P=0.02) and positively correlated with changes in common carotid artery IMT (Δcarotid IMT; r=0.41; P=0.03). Multiple regression analysis adjusted by age, cardiovascular risk factors and inflammatory markers showed that ΔHOMA-IR was an independent predictor of significant changes in common carotid artery IMT. This investigation demonstrated that an interdisciplinary weight-loss program promoted a reduction of the common carotid artery IMT in obese Brazilian adolescents, and the improvement of HOMA-IR was an independent predictor of carotid IMT changes in this population.

Resistance exercise improves physical fatigue in women with fibromyalgia: a randomized controlled trial.

PubMed

Ericsson, Anna; Palstam, Annie; Larsson, Anette; Löfgren, Monika; Bileviciute-Ljungar, Indre; Bjersing, Jan; Gerdle, Björn; Kosek, Eva; Mannerkorpi, Kaisa

2016-07-30

Fibromyalgia (FM) affects approximately 1-3 % of the general population. Fatigue limits the work ability and social life of patients with FM. A few studies of physical exercise have included measures of fatigue in FM, indicating that exercise can decrease fatigue levels. There is limited knowledge about the effects of resistance exercise on multiple dimensions of fatigue in FM. The present study is a sub-study of a multicenter randomized controlled trial in women with FM. The purpose of the present sub-study was to examine the effects of a person-centered progressive resistance exercise program on multiple dimensions of fatigue in women with FM, and to investigate predictors of the potential change in fatigue. A total of 130 women with FM (age 22-64 years) were included in this assessor-blinded randomized controlled multicenter trial examining the effects of person-centered progressive resistance exercise compared with an active control group. The intervention was performed twice a week for 15 weeks. Outcomes were five dimensions of fatigue measured with the Multidimensional Fatigue Inventory (MFI-20). Information about background was collected and the women also completed several health-related questionnaires. Multiple linear stepwise regression was used to analyze predictors of change in fatigue in the total population. A higher improvement was found at the post-treatment examination for change in the resistance exercise group, as compared to change in the active control group in the MFI-20 subscale of physical fatigue (resistance group Δ -1.7, SD 4.3, controls Δ 0.0, SD 2.7, p = 0.013), with an effect size of 0.33. Sleep efficiency was the strongest predictor of change in the MFI-20 subscale general fatigue (beta = -0.54, p = 0.031, R (2) = 0.05). Participating in resistance exercise (beta = 1.90, p = 0.010) and working fewer hours per week (beta = 0.84, p = 0.005) were independent significant predictors of change in physical fatigue (R (2) = 0.14). Person-centered progressive resistance exercise improved physical fatigue in women with FM when compared to an active control group. ClinicalTrials.gov NCT01226784 . Registered 21 October 2010.

A pre-admission program for underrepresented minority and disadvantaged students: application, acceptance, graduation rates and timeliness of graduating from medical school.

PubMed

Strayhorn, G

2000-04-01

To determine whether students' performances in a pre-admission program predicted whether participants would (1) apply to medical school, (2) get accepted, and (3) graduate. Using prospectively collected data from participants in the University of North Carolina at Chapel Hill's Medical Education Development Program (MEDP) and data from the Association of American Colleges Student and Applicant Information Management System, the author identified 371 underrepresented minority (URM) students who were full-time participants and completed the program between 1984 and 1989, prior to their acceptance into medical school. Logistic regression analysis was used to determine whether MEDP performance significantly predicted (after statistically controlling for traditional predictors of these outcomes) the proportions of URM participants who applied to medical school and were accepted, the timeliness of graduating, and the proportion graduating. Odds ratios with 95% confidence intervals were calculated to determine the associations between the independent and outcome variables. In separate logistic regression models, MEDP performance predicted the study's outcomes after statistically controlling for traditional predictors with 95% confidence intervals. Pre-admission programs with similar outcomes can improve the diversity of the physician workforce and the access to health care for underrepresented minority and economically disadvantaged populations.

Predictors of improvement in hemoglobin concentration among toddlers enrolled in the Massachusetts WIC Program.

PubMed

Altucher, Kristine; Rasmussen, Kathleen M; Barden, Elizabeth M; Habicht, Jean-Pierre

2005-05-01

Nutrition supplementation programs are generally targeted to those members of the population who are thought to be at risk of an undesirable outcome, but not all who participate in such programs respond to them. We sought to identify determinants of improvement in hemoglobin concentration among young children in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). We conducted an observational study using data from 9,930 children who were enrolled in the Massachusetts WIC program and had data available on their hemoglobin values at both 1 and 2 years of age. Predictors of change in hemoglobin concentration between these ages were studied using multivariate statistical modeling. Overall, hemoglobin concentrations increased from age 1 to 2 years in those who had been breastfed 25 or more weeks (P < .0001) and were female (P < .01), and decreased with increasing weight at 1 year of age (P < .001). The determinants of change in hemoglobin concentration differed from the determinants of hemoglobin concentration at age 1 year. The analytical approach used here could be extended to identify subgroups of WIC participants likely to improve in other outcomes. If current efforts to increase the duration of breastfeeding among WIC participants are successful, the importance of WIC in improving hemoglobin concentration among young children also will increase.

The efficacy of a diabetic educational program and predictors of compliance of patients with noninsulin-dependent (type 2) diabetes mellitus in Al-Khobar, Saudi Arabia

PubMed Central

Mokabel, Fatma M.; Aboulazm, Shadia F.; Hassan, Hanan E.; Al-Qahtani, Mona F.; Alrashedi, Seham F.; Zainuddin, Fatma A.

2017-01-01

BACKGROUND: The concept of detection and management of diabetes mellitus at primary health-care centers is justified and widely practised in Saudi Arabia. The objective of this study was to assess the efficacy of diabetic educational programs for noninsulin-dependent (type 2) diabetes mellitus patients, and to determine the predictors of compliance. MATERIALS AND METHODS: A longitudinal experimental research design was adopted for this study and conducted at the diabetic outpatient clinic of King Fahd Hospital of the University, Al Khobar, Kingdom of Saudi Arabia. A convenient sample of 150 adult patients diagnosed as type 2 diabetes was included in this study. RESULTS: There was a significant reduction in the body mass index (BMI) of patients, an improvement in regular self-checks of blood sugar, dietary regimen, foot care, and exercise and lifestyle behavior following the educational program. It was observed that patients' knowledge of diabetes had improved after exposure to the educational program in the three-time intervals. CONCLUSIONS: Type 2 diabetes mellitus exhibited significant change in both BMI, sugar accumulation, and adherence to medication after attending the educational program, and there was evidence of improved knowledge of regular self-checks of blood sugar, dietary regimen, foot care, exercise, and lifestyle behavior. PMID:28932161

13 CFR 101.500 - Small Business Energy Efficiency Program.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 13 Business Credit and Assistance 1 2013-01-01 2013-01-01 false Small Business Energy Efficiency... ADMINISTRATION Small Business Energy Efficiency § 101.500 Small Business Energy Efficiency Program. (a) The.../energy, building on the Energy Star for Small Business Program, to assist small business concerns in...

13 CFR 101.500 - Small Business Energy Efficiency Program.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Small Business Energy Efficiency... ADMINISTRATION Small Business Energy Efficiency § 101.500 Small Business Energy Efficiency Program. (a) The.../energy, building on the Energy Star for Small Business Program, to assist small business concerns in...

13 CFR 101.500 - Small Business Energy Efficiency Program.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 13 Business Credit and Assistance 1 2011-01-01 2011-01-01 false Small Business Energy Efficiency... ADMINISTRATION Small Business Energy Efficiency § 101.500 Small Business Energy Efficiency Program. (a) The.../energy, building on the Energy Star for Small Business Program, to assist small business concerns in...

13 CFR 101.500 - Small Business Energy Efficiency Program.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 13 Business Credit and Assistance 1 2014-01-01 2014-01-01 false Small Business Energy Efficiency... ADMINISTRATION Small Business Energy Efficiency § 101.500 Small Business Energy Efficiency Program. (a) The.../energy, building on the Energy Star for Small Business Program, to assist small business concerns in...

13 CFR 101.500 - Small Business Energy Efficiency Program.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 13 Business Credit and Assistance 1 2012-01-01 2012-01-01 false Small Business Energy Efficiency... ADMINISTRATION Small Business Energy Efficiency § 101.500 Small Business Energy Efficiency Program. (a) The.../energy, building on the Energy Star for Small Business Program, to assist small business concerns in...

Model Energy Efficiency Program Impact Evaluation Guide

EPA Pesticide Factsheets

Find guidance on model approaches for calculating energy, demand, and emissions savings resulting from energy efficiency programs. It describes several standard approaches that can be used in order to make these programs more efficient.

Factors Associated With Interest in Working With Older Adults: Implications for Educational Practices.

PubMed

Chippendale, Tracy

2015-09-01

The aging population has created a pressing need for specialists in geriatrics. The purpose of this pilot study was to examine the predictors of interest in working with older adults among students enrolled in or planning to enroll in a health science program, using an existing data set. The study was guided by Super's theory of vocational development. Multiple regression, with a significance level of p < 0.05, was used for the analysis. Positive images of older adults and the participants' current amount of contact were significant predictors of interest in working with older adults, whereas negative images and prior amount of contact with older adults were not. Results suggest implications for curriculum design and educational programs to increase the workforce in geriatrics practice, which are discussed. Copyright 2015, SLACK Incorporated.

The use of genetic programming to develop a predictor of swash excursion on sandy beaches

NASA Astrophysics Data System (ADS)

Passarella, Marinella; Goldstein, Evan B.; De Muro, Sandro; Coco, Giovanni

2018-02-01

We use genetic programming (GP), a type of machine learning (ML) approach, to predict the total and infragravity swash excursion using previously published data sets that have been used extensively in swash prediction studies. Three previously published works with a range of new conditions are added to this data set to extend the range of measured swash conditions. Using this newly compiled data set we demonstrate that a ML approach can reduce the prediction errors compared to well-established parameterizations and therefore it may improve coastal hazards assessment (e.g. coastal inundation). Predictors obtained using GP can also be physically sound and replicate the functionality and dependencies of previous published formulas. Overall, we show that ML techniques are capable of both improving predictability (compared to classical regression approaches) and providing physical insight into coastal processes.

Lecturing skills as predictors of tutoring skills in a problem-based medical curriculum

PubMed Central

Kassab, Salah Eldin; Hassan, Nahla; Abu-Hijleh, Marwan F; Sequeira, Reginald P

2016-01-01

Purpose Recruitment of tutors to work in problem-based learning (PBL) programs is challenging, especially in that most of them are graduated from discipline-based programs. Therefore, this study aims at examining whether lecturing skills of faculty could predict their PBL tutoring skills. Methods This study included evaluation of faculty (n=69) who participated in both tutoring and lecturing within particular PBL units at the College of Medicine and Medical Sciences (CMMS), Arabian Gulf University, Bahrain. Each faculty was evaluated by medical students (n=45±8 for lecturing and 8±2 for PBL tutoring) using structured evaluation forms based on a Likert-type scale (poor to excellent). The prediction of tutoring skills using lecturing skills was statistically analyzed using stepwise linear regression. Results Among the parameters used to judge lecturing skills, the most important predictor for tutoring skills was subject matter mastery in the lecture by explaining difficult concepts and responding effectively to students’ questions. Subject matter mastery in the lecture positively predicted five tutoring skills and accounted for 25% of the variance in overall effectiveness of the PBL tutors (F=22.39, P=0.000). Other important predictors for tutoring skills were providing a relaxed class atmosphere and effective use of audiovisual aids in the lecture. Conclusion Predicting the tutoring skills based on lecturing skills could have implications for recruiting tutors in PBL medical programs and for tutor training initiatives. PMID:26793014

Indicators of science, technology, engineering, and math (STEM) career interest among middle school students in the USA

NASA Astrophysics Data System (ADS)

Mills, Leila A.

This study examines middle school students' perceptions of a future career in a science, math, engineering, or technology (STEM) career field. Gender, grade, predispositions to STEM contents, and learner dispositions are examined for changing perceptions and development in career-related choice behavior. Student perceptions as measured by validated measurement instruments are analyzed pre and post participation in a STEM intervention energy-monitoring program that was offered in several U.S. middle schools during the 2009-2010, 2010-2011 school years. A multiple linear regression (MLR) model, developed by incorporating predictors identified by an examination of the literature and a hypothesis-generating pilot study for prediction of STEM career interest, is introduced. Theories on the career choice development process from authors such as Ginzberg, Eccles, and Lent are examined as the basis for recognition of career concept development among students. Multiple linear regression statistics, correlation analysis, and analyses of means are used to examine student data from two separate program years. Study research questions focus on predictive ability, RSQ, of MLR models by gender/grade, and significance of model predictors in order to determine the most significant predictors of STEM career interest, and changes in students' perceptions pre and post program participation. Analysis revealed increases in the perceptions of a science career, decreases in perceptions of a STEM career, increase of the significance of science and mathematics to predictive models, and significant increases in students' perceptions of creative tendencies.

Group cognitive behavior therapy for Japanese patients with social anxiety disorder: preliminary outcomes and their predictors

PubMed Central

Chen, Junwen; Nakano, Yumi; Ietzugu, Tetsuji; Ogawa, Sei; Funayama, Tadashi; Watanabe, Norio; Noda, Yumiko; Furukawa, Toshi A

2007-01-01

Background A number of studies have provided strong evidence for the use of cognitive behavior therapy (CBT) in the treatment of social anxiety disorder (SAD). However, all of the previous reports were from Europe and North America and it is unknown whether Western psychological therapies are effective for SAD in non-Western cultures. The present pilot study aimed to evaluate CBT program for SAD which was originally developed for Western patients, among Japanese patients. Methods Fifty-seven outpatients who participated in group CBT for SAD were evaluated using eight self-reported and one clinician-administered questionnaires to measure various aspects of SAD symptomatology at the beginning and at the end of the program. Pre- and post-treatment scores were compared and the magnitude of treatment effect was quantified as well based once on the intention-to-treat (ITT) and once among the completers only. We also examined baseline predictors of the CBT outcomes. Results Seven patients (12%) did not complete the program. For the ITT sample, the percentage of reduction was 20% to 30% and the pre to post treatment effect sizes ranged from 0.37 to 1.01. Among the completers, the respective figures were 20% to 33% and 0.41 to 1.19. We found no significant pretreatment predictor of the outcomes. Conclusion Group CBT for SAD is acceptable and can bring about a similar degree of symptom reduction among Japanese patients with SAD as among Western patients. PMID:18067685

Natural Resource Dependency and Decentralized Conservation Within Kanchenjunga Conservation Area Project, Nepal

NASA Astrophysics Data System (ADS)

Parker, Pete; Thapa, Brijesh

2012-02-01

Kanchenjunga Conservation Area Project (KCAP) in Nepal is among the first protected areas in the world to institute a completely decentralized system of conservation and development. Proponents of decentralized conservation claim that it increases management efficiency, enhances the responsiveness to local needs, and promotes greater equity among local residents. This study assessed local equity by evaluating the levels of dependencies on natural resources among households and the factors affecting that dependency. Data were collected via detailed surveys among 205 randomly selected households within the KCAP. Natural resource dependency was evaluated by comparing the ratio of total household income to income derived from access to natural resources. Economic, social, and access-related variables were employed to determine potential significant predictors of dependency. Overall, households were heavily dependent on natural resources for their income, especially households at higher elevations and those with more adult members. The households that received remittances were most able to supplement their income and, therefore, drastically reduced their reliance on the access to natural resources. Socio-economic variables, such as land holdings, education, caste, and ethnicity, failed to predict dependency. Household participation in KCAP-sponsored training programs also failed to affect household dependency; however, fewer than 20% of the households had any form of direct contact with KCAP personnel within the past year. The success of the KCAP as a decentralized conservation program is contingent on project capacity-building via social mobilization, training programs, and participatory inclusion in decision making to help alleviate the dependency on natural resources.

Natural resource dependency and decentralized conservation within Kanchenjunga Conservation Area Project, Nepal.

PubMed

Parker, Pete; Thapa, Brijesh

2012-02-01

Kanchenjunga Conservation Area Project (KCAP) in Nepal is among the first protected areas in the world to institute a completely decentralized system of conservation and development. Proponents of decentralized conservation claim that it increases management efficiency, enhances the responsiveness to local needs, and promotes greater equity among local residents. This study assessed local equity by evaluating the levels of dependencies on natural resources among households and the factors affecting that dependency. Data were collected via detailed surveys among 205 randomly selected households within the KCAP. Natural resource dependency was evaluated by comparing the ratio of total household income to income derived from access to natural resources. Economic, social, and access-related variables were employed to determine potential significant predictors of dependency. Overall, households were heavily dependent on natural resources for their income, especially households at higher elevations and those with more adult members. The households that received remittances were most able to supplement their income and, therefore, drastically reduced their reliance on the access to natural resources. Socio-economic variables, such as land holdings, education, caste, and ethnicity, failed to predict dependency. Household participation in KCAP-sponsored training programs also failed to affect household dependency; however, fewer than 20% of the households had any form of direct contact with KCAP personnel within the past year. The success of the KCAP as a decentralized conservation program is contingent on project capacity-building via social mobilization, training programs, and participatory inclusion in decision making to help alleviate the dependency on natural resources.

Motor and cognitive outcomes in children after functional hemispherectomy.

PubMed

Samargia, Sharyl A; Kimberley, Teresa Jacobson

2009-01-01

Medically intractable epilepsy is a chronic recurrence of seizures that often requires surgery to reduce or eliminate them. Although a reduction of seizures is the primary goal of hemispherectomy, the effect of surgery on motor and cognitive skills is also of importance. This review will provide a discussion of (1) evidence regarding motor and cognitive outcomes, (2) predictors of these outcomes, and (3) neural mechanisms responsible for preservation of function after hemispherectomy. Motor and cognitive outcomes after hemispherectomy are variable and depend on many predictors including etiology and duration of seizure disorder, age at the time of surgery, premorbid status, and postsurgical seizure control. A refined ipsilateral pathway may explain the preservation of motor function in some children. A clear understanding of outcome predictors is important for planning effective rehabilitative programs after surgery.

Predictors of therapeutic engagement in prison-based drug treatment.

PubMed

Welsh, Wayne N; McGrain, Patrick N

2008-08-01

Few studies to date have examined predictors of therapeutic engagement (TE) or other indicators of responsiveness to prison drug treatment. Subjects were 347 inmates participating in a 12-month modified therapeutic community (TC) drug treatment program at a specialized treatment prison for convicted, drug-involved offenders. Data were obtained through correctional databases and the administration of the TCU Drug Screen II, the Resident Evaluation of Self and Treatment (REST), and the Counselor Rating of Client (CRC) form. Three main hypotheses were supported: (1) baseline motivation predicted therapeutic engagement net of other inmate characteristics; (2) critical dimensions of the treatment experience (e.g., peer support, counselor rapport) also predicted therapeutic engagement; and (3) dynamic predictors and programmatic characteristics became more important over time. Implications for research, theory and policy are discussed.

Predictors of Outcomes in Autism Early Intervention: Why Don’t We Know More?

PubMed Central

Vivanti, Giacomo; Prior, Margot; Williams, Katrina; Dissanayake, Cheryl

2014-01-01

Response to early intervention programs in autism is variable. However, the factors associated with positive versus poor treatment outcomes remain unknown. Hence the issue of which intervention/s should be chosen for an individual child remains a common dilemma. We argue that lack of knowledge on “what works for whom and why” in autism reflects a number of issues in current approaches to outcomes research, and we provide recommendations to address these limitations. These include: a theory-driven selection of putative predictors; the inclusion of proximal measures that are directly relevant to the learning mechanisms demanded by the specific educational strategies; the consideration of family characteristics. Moreover, all data on associations between predictor and outcome variables should be reported in treatment studies. PMID:24999470

Epidemiological predictors of metabolic syndrome in urban West Bengal, India.

PubMed

Chakraborty, Sasthi Narayan; Roy, Sunetra Kaviraj; Rahaman, Md Abdur

2015-01-01

Metabolic syndrome is one of the emerging health problems of the world. Its prevalence is high in urban areas. Though pathogenesis is complex, but the interaction of obesity, sedentary lifestyle, dietary, and genetic factors are known as contributing factors. Community-based studies were very few to find out the prevalence or predictors of the syndrome. To ascertain the prevalence and epidemiological predictors of metabolic syndrome. A total of 690 study subjects were chosen by 30 clusters random sampling method from 43 wards of Durgapur city. Data were analyzed in SPSS version 20 software and binary logistic regression was done to find out statistical significance of the predictors. Among 32.75% of the study population was diagnosed as metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III definition with a modification for Asia Pacific cut-off of waist circumference. Odds were more among females (2.43), upper social class (14.89), sedentary lifestyle (17.00), and positive family history. The overall prevalence of metabolic syndrome was high in urban areas of Durgapur. Increased age, female gender, higher social status, sedentary lifestyle, positive family history, and higher education were the statistically significant predictors of metabolic syndrome.

Predictors of Medical or Surgical and Psychiatric Hospitalizations Among a Population-Based Cohort of Homeless Adults

PubMed Central

Chambers, Catharine; Katic, Marko; Chiu, Shirley; Redelmeier, Donald A.; Levinson, Wendy; Kiss, Alex

2013-01-01

Objectives. We identified factors associated with inpatient hospitalizations among a population-based cohort of homeless adults in Toronto, Ontario. Methods. We recruited participants from shelters and meal programs. We then linked them to administrative databases to capture hospital admissions during the study (2005–2009). We used logistic regression to identify predictors of medical or surgical and psychiatric hospitalizations. Results. Among 1165 homeless adults, 20% had a medical or surgical hospitalization, and 12% had a psychiatric hospitalization during the study. These individuals had a total of 921 hospitalizations, of which 548 were medical or surgical and 373 were psychiatric. Independent predictors of medical or surgical hospitalization included birth in Canada, having a primary care provider, higher perceived external health locus of control, and lower health status. Independent predictors of psychiatric hospitalization included being a current smoker, having a recent mental health problem, and having a lower perceived internal health locus of control. Being accompanied by a partner or dependent children was protective for hospitalization. Conclusions. Health care need was a strong predictor of medical or surgical and psychiatric hospitalizations. Some hospitalizations among homeless adults were potentially avoidable, whereas others represented an unavoidable use of health services. PMID:24148040

Influence of materials on teacher adoption of abstinence-only- until-marriage programs.

PubMed

Wilson, Kelly L; Wiley, David C

2009-12-01

Given the growing scientific evidence against abstinence-only-until-marriage education, health educators are supporting an evidence-based approach to teaching sexuality education. However, there is still an abundance of federal support and funding streams allocated to sustain abstinence-only programs. This study assessed indicators that influence the adoption of abstinence-only-until-marriage education as well as school teachers' likelihood of adopting such programs. Predictors included relative advantage, compatibility, complexity, and observability and were assessed with a self-administered, validated questionnaire. Additional questions were asked related to demographics, professional history, and abstinence-only-until-marriage education policies and funding. The relationships were tested with multiple regression analysis. A trend became apparent in which most teachers would allow a state- or federally funded program to be offered and presented in their schools, but most did not know if their school received funding to support abstinence-only-until-marriage education. Attendance at religious services, complexity of abstinence-only-until-marriage programs, and abstinence-only-until-marriage curriculum emerged as important predictors of the likelihood to adopt abstinence education. Trends in political agendas, policy development, and state and federal funding have supported abstinence-only-until-marriage education programs. In order to ensure an understanding about the inclusion of sexuality education in the classroom, insight into the teacher's role in the integration of sexuality education in the classroom is important.

Working Memory Intervention: A Reading Comprehension Approach

ERIC Educational Resources Information Center

Perry, Tracy L.; Malaia, Evguenia

2013-01-01

For any complex mental task, people rely on working memory. Working memory capacity (WMC) is one predictor of success in learning. Historically, attempts to improve verbal WM through training have not been effective. This study provided elementary students with WM consolidation efficiency training to answer the question, Can reading comprehension…

Getting a Job Is Only Half the Battle: Maternal Job Loss and Child Classroom Behavior in Low-Income Families

ERIC Educational Resources Information Center

Hill, Heather D.; Morris, Pamela A.; Castells, Nina; Walker, Jessica Thornton

2011-01-01

This study uses data from an experimental employment program and instrumental variables (IV) estimation to examine the effects of maternal job loss on child classroom behavior. Random assignment to the treatment at one of three program sites is an exogenous predictor of employment patterns. Cross-site variation in treatment-control differences is…

Maternal Jail Time, Conviction, and Arrest as Predictors of Children's 15-Year Antisocial Outcomes in the Context of a Nurse Home Visiting Program

ERIC Educational Resources Information Center

Shlafer, Rebecca J.; Poehlmann, Julie; Donelan-McCall, Nancy

2012-01-01

Data from the Nurse-Family Partnership intervention program were analyzed to compare the "selection" versus "unique" effects of maternal jail time on adolescent antisocial and health risk outcomes. Data from 320 women and their firstborn children were available from the prenatal, birth, and 15-year assessments. Consistent with…

Predictors of Developmental Outcomes of High-Risk and Developmentally Delayed Infants and Children Enrolled in a State Early Childhood Intervention Program

ERIC Educational Resources Information Center

Giannoni, Peggy P.; Kass, Philip H.

2012-01-01

A retrospective cohort study was conducted to identify child, maternal, family, and community factors associated with rate of developmental disability among children enrolled in the California Early Start Program. The cohort included 8,987 children considered at high risk for developmental disability due to medical risks and/or developmental…

What does it take to get family forest owners to enroll in a forest stewardship-type program?

Treesearch

Michael A. Kilgore; Stephanie A. Snyder; Joseph Schertz; Steven J. Taff

2008-01-01

We estimated the probability of enrollment and factors influencing participation in a forest stewardship-type program, Minnesota's Sustainable Forest Incentives Act, using data from a mail survey of over 1000 randomly-selected Minnesota family forest owners. Of the 15 variables tested, only five were significant predictors of a landowner's interest in...

Theoretical Value Belief, Cognitive Ability, and Personality as Predictors of Student Performance in Object-Oriented Programming Environments

ERIC Educational Resources Information Center

Hall, Dianne J.; Cegielski, Casey G.; Wade, James N.

2006-01-01

The research described in this article reports the results of a study designed to evaluate the relationship among object-oriented (OO) computer programming task performance and a student's (1) theoretical value belief, (2) cognitive ability, and (3) personality. The results of this study do not support the assertion that cognitive ability is a…

Learning Goals of AACSB-Accredited Undergraduate Business Programs: Predictors of Conformity versus Differentiation

ERIC Educational Resources Information Center

Brink, Kyle E.; Palmer, Timothy B.; Costigan, Robert D.

2014-01-01

Learning goals are central to assurance of learning. Yet little is known about what goals are used by business programs or how they are established. On the one hand, business schools are encouraged to develop their own unique learning goals. However, business schools also face pressures that would encourage conformity by adopting goals used by…

Connecting Students to Nature--How Intensity of Nature Experience and Student Age Influence the Success of Outdoor Education Programs

ERIC Educational Resources Information Center

Braun, Tina; Dierkes, Paul

2017-01-01

Nature connectedness counts as a crucial predictor of pro-environmental behavior. For counteracting today's environmental issues a successful re-connection of individuals to nature is necessary. Besides the promotion of knowledge transfer the aim of the educational program presented in this study is to connect students to their environment. This…

Predictors and Moderators of Teacher Learning and Changes in Practice: Evidence from a Randomized Trial of a Teacher-Adapted Literacy Program

ERIC Educational Resources Information Center

Quinn, David M.; Kim, James S.

2016-01-01

Recognizing that standardized instructional treatments may not be equally effective across contexts, a growing number of scholars are arguing that the strategy of adopting packaged programs and striving to implement them faithfully is neither realistic nor desirable. An alternative view is that scaling up educational treatments requires balancing…

Traditional Predictors of Academic Performance in a Medical School's Independent Study Program.

ERIC Educational Resources Information Center

Meleca, C. Benjamin

1995-01-01

As an initial screening device for admission to the Independent Study Program at the Ohio State University College of Medicine, a numeric value was developed for 596 first-year students. The value was based on a combination of under graduate grade point average and Medical College Admission Test scores.The predictive value of the technique was…

Food, fun, and fitness internet program for girls: Pilot evaluation of an e-Health youth obesity prevention program examining predictors of obesity

USDA-ARS?s Scientific Manuscript database

This pilot study tested whether an Internet-based intervention could achieve change in fruit, juice, and vegetable consumption, physical activity, and self-efficacy in youth at-risk of obesity. Participants were 80 8- to 10-year-old African American girls at-risk of obesity, with a home computer, In...

Effectiveness of a first-aid intervention program applied by undergraduate nursing students to preparatory school children.

PubMed

Wafik, Wagida; Tork, Hanan

2014-03-01

Childhood injuries constitute a major public health problem worldwide. First aid is an effective life-preservation tool at work, school, home, and in public locations. In this study, the effectiveness of a first-aid program delivered by undergraduate nursing students to preparatory school children was examined. This quasi-experimental study was carried out on 100 school children in governmental preparatory schools in Egypt. The researchers designed a program for first-aid training, and this was implemented by trained nursing students. The evaluation involved immediate post-test and follow-up assessment after two months. The results showed generally low levels of satisfactory knowledge and inadequate situational practice among the school students before the intervention. Statistically-significant improvements were shown at the post- and follow-up tests. Multivariate regression analysis identified the intervention and the type of school as the independent predictors of the change in students' knowledge score, while the intervention and the knowledge score were the predictors of the practice score. The study concluded that a first-aid training program delivered by nursing students to preparatory school children is effective in improving their knowledge and practice. © 2013 Wiley Publishing Asia Pty Ltd.

Accelerated second-degree nursing students: predictors of graduation and NCLEX-RN first-time pass rates.

PubMed

Penprase, Barbara B; Harris, Margaret A

2013-01-01

It is important to understand and identify factors that affect students' academic performance before entry into a nursing program and as they progress through the program. The authors discuss a study, and its outcomes, that assessed accelerated second-degree nursing students' prenursing and core nursing grades that served to predict their success at completing the nursing program and passing NCLEX-RN on first attempt. Strategies were identified to help at-risk students to be successful in the program and with first-time passage of NCLEX-RN.

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial.

PubMed

Passey, Megan E; Laws, Rachel A; Jayasinghe, Upali W; Fanaian, Mahnaz; McKenzie, Suzanne; Powell-Davies, Gawaine; Lyle, David; Harris, Mark F

2012-08-03

Cardiovascular disease accounts for a large burden of disease, but is amenable to prevention through lifestyle modification. This paper examines patient and practice predictors of referral to a lifestyle modification program (LMP) offered as part of a cluster randomised controlled trial (RCT) of prevention of vascular disease in primary care. Data from the intervention arm of a cluster RCT which recruited 36 practices through two rural and three urban primary care organisations were used. In each practice, 160 eligible high risk patients were invited to participate. Practices were randomly allocated to intervention or control groups. Intervention practice staff were trained in screening, motivational interviewing and counselling and encouraged to refer high risk patients to a LMP involving individual and group sessions. Data include patient surveys; clinical audit; practice survey on capacity for preventive care; referral records from the LMP. Predictors of referral were examined using multi-level logistic regression modelling after adjustment for confounding factors. Of 301 eligible patients, 190 (63.1%) were referred to the LMP. Independent predictors of referral were baseline BMI ≥ 25 (OR 2.87 95%CI:1.10, 7.47), physical inactivity (OR 2.90 95%CI:1.36,6.14), contemplation/preparation/action stage of change for physical activity (OR 2.75 95%CI:1.07, 7.03), rural location (OR 12.50 95%CI:1.43, 109.7) and smaller practice size (1-3 GPs) (OR 16.05 95%CI:2.74, 94.24). Providing a well-structured evidence-based lifestyle intervention, free of charge to patients, with coordination and support for referral processes resulted in over 60% of participating high risk patients being referred for disease prevention. Contrary to expectations, referrals were more frequent from rural and smaller practices suggesting that these practices may be more ready to engage with these programs. ACTRN12607000423415.

Very Low Food Security in US Households Is Predicted by Complex Patterns of Health, Economics, and Service Participation.

PubMed

Choi, Seul Ki; Fram, Maryah S; Frongillo, Edward A

2017-10-01

Background: Very low food security (VLFS) happens at the intersection of nuanced and complex patterns of risk characteristics across multiple domains. Little is known about the idiosyncratic situations that lead households to experience VLFS. Objective: We used classification and regression tree (CART) analysis, which can handle complex combinations of predictors, to identify patterns of characteristics that distinguish VLFS households in the United States from other households. Methods: Data came from 3 surveys, the 2011-2014 National Health Interview Survey (NHIS), the 2005-2012 NHANES, and the 2002-2012 Current Population Survey (CPS), with sample participants aged ≥18 y and households with income <300% of the federal poverty line. Survey participants were stratified into households with children, adult-only households, and older-adult households (NHIS, CPS) or individuals aged 18-64 y and individuals aged ≥65 y (NHANES). Household food security was measured with the use of the 10-item US Adult Food Security Scale. Variables from multiple domains, including sociodemographic characteristics, health, health care, and participation in social welfare and food assistance programs, were considered as predictors. The 3 data sources were analyzed separately with the use of CART analysis. Results: Household experiences of VLFS were associated with different predictors for different types of households and often occurred at the intersection of multiple characteristics spanning unmet medical needs, poor health, disability, limitation, depressive symptoms, low income, and food assistance program participation. These predictors built complex trees with various combinations in different types of households. Conclusions: This study showed that multiple characteristics across multiple domains distinguished VLFS households. Flexible and nonlinear methods focusing on a wide range of risk characteristics should be used to identify VLFS households and to inform policies and programs that can address VLFS households' various needs. © 2017 American Society for Nutrition.

R2D2-A Fortran Program for Two-Dimensional Chemically Reacting, Hyperthermal, Internal Flows, Volume II.

DTIC Science & Technology

1980-01-01

is identified in the flow chart simply as "Compute VECT’s ( predictor solution)" and "Compute V’s ( corrector solution)." A significant portion of the...TrintoTo Tm ANDera ionT SToION 28 ITIME :1 PRINCIPAL SUBROUTINES WALLPOINT (ITER,DT) ITER - iteration index for MacCormack Algorithm (ITER=1 for predictor ...WEILERSTEIN, R RAY, 6 MILLER F33615-7- C -3016UNLASSIFIED GASL-TR-254-VBL-2 AFFDL-TR-79-3162-VOL-2 NII III hImllllllllll EIEIIIIIIEIIEE EEIIIIIIIIIIII H

Iatrogenic effects of psychosocial interventions: treatment, life context, and personal risk factors.

PubMed

Moos, Rudolf H

2012-01-01

Between 7% and 15% of individuals who participate in psychosocial interventions for substance use disorders may be worse off after treatment than before. Intervention-related predictors of iatrogenic effects include lack of bonding; lack of goal direction and monitoring; confrontation, criticism, and high emotional arousal; models and norms for substance use; and stigma and inaccurate expectations. Life context and personal predictors include lack of support, criticism, and more severe substance use and psychological problems. Ongoing monitoring and safety standards are needed to identify and counteract adverse consequences of intervention programs.

Predictors of intensive care unit admission and mortality in patients with ischemic stroke: investigating the effects of a pulmonary rehabilitation program.

PubMed

Güngen, Belma Doğan; Tunç, Abdulkadir; Aras, Yeşim Güzey; Gündoğdu, Aslı Aksoy; Güngen, Adil Can; Bal, Serdar

2017-07-11

The aim of this study was to investigate the predictors of intensive care unit (ICU) admission and mortality among stroke patients and the effects of a pulmonary rehabilitation program on stroke patients. This prospective study enrolled 181 acute ischemic stroke patients aged between 40 and 90 years. Demographical characteristics, laboratory tests, diffusion-weighed magnetic resonance imaging (DWI-MRI) time, nutritional status, vascular risk factors, National Institute of Health Stroke Scale (NIHSS) scores and modified Rankin scale (MRS) scores were recorded for all patients. One-hundred patients participated in the pulmonary rehabilitation program, 81 of whom served as a control group. Statistically, one- and three-month mortality was associated with NIHSS and MRS scores at admission and three months (p<0.001; r=0.440, r=0.432, r=0.339 and r=0.410, respectively). One and three months mortality- ICU admission had a statistically significant relationship with parenteral nutrition (p<0.001; r=0.346, r=0.300, respectively; r=0.294 and r=0.294, respectively). Similarly, there was also a statistically significant relationship between pneumonia onset and one- and three-month mortality- ICU admission (p<0.05; r=0.217, r=0.127, r=0.185 and r=0.185, respectively). A regression analysis showed that parenteral nutrition (odds ratio [OR] =13.434, 95% confidence interval [CI] =1.148-157.265, p=0.038) was a significant predictor of ICU admission. The relationship between pulmonary physiotherapy (PPT) and ICU admission- pneumonia onset at the end of three months was statistically significant (p=0.04 and p=0.043, respectively). This study showed that PPT improved the prognosis of ischemic stroke patients. We believe that a pulmonary rehabilitation program, in addition to general stroke rehabilitation programs, can play a critical role in improving survival and functional outcomes. NCT03195907 . Trial registration date: 21.06.2017 'Retrospectively registered'.

The Cost of Saving Electricity Through Energy Efficiency Programs Funded by Utility Customers: 2009–2015

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hoffman, Ian M.; Goldman, Charles A.; Murphy, Sean

The average cost to utilities to save a kilowatt-hour (kWh) in the United States is 2.5 cents, according to the most comprehensive assessment to date of the cost performance of energy efficiency programs funded by electricity customers. These costs are similar to those documented earlier. Cost-effective efficiency programs help ensure electricity system reliability at the most affordable cost as part of utility planning and implementation activities for resource adequacy. Building on prior studies, Berkeley Lab analyzed the cost performance of 8,790 electricity efficiency programs between 2009 and 2015 for 116 investor-owned utilities and other program administrators in 41 states. Themore » Berkeley Lab database includes programs representing about three-quarters of total spending on electricity efficiency programs in the United States.« less

An Assessment Model for Energy Efficiency Program Planning in Electric Utilities: Case of the Pacific of Northwest U.S.A

NASA Astrophysics Data System (ADS)

Iskin, Ibrahim

Energy efficiency stands out with its potential to address a number of challenges that today's electric utilities face, including increasing and changing electricity demand, shrinking operating capacity, and decreasing system reliability and flexibility. Being the least cost and least risky alternative, the share of energy efficiency programs in utilities' energy portfolios has been on the rise since the 1980s, and their increasing importance is expected to continue in the future. Despite holding great promise, the ability to determine and invest in only the most promising program alternatives plays a key role in the successful use of energy efficiency as a utility-wide resource. This issue becomes even more significant considering the availability of a vast number of potential energy efficiency programs, the rapidly changing business environment, and the existence of multiple stakeholders. This dissertation introduces hierarchical decision modeling as the framework for energy efficiency program planning in electric utilities. The model focuses on the assessment of emerging energy efficiency programs and proposes to bridge the gap between technology screening and cost/benefit evaluation practices. This approach is expected to identify emerging technology alternatives which have the highest potential to pass cost/benefit ratio testing procedures and contribute to the effectiveness of decision practices in energy efficiency program planning. The model also incorporates rank order analysis and sensitivity analysis for testing the robustness of results from different stakeholder perspectives and future uncertainties in an attempt to enable more informed decision-making practices. The model was applied to the case of 13 high priority emerging energy efficiency program alternatives identified in the Pacific Northwest, U.S.A. The results of this study reveal that energy savings potential is the most important program management consideration in selecting emerging energy efficiency programs. Market dissemination potential and program development and implementation potential are the second and third most important, whereas ancillary benefits potential is the least important program management consideration. The results imply that program value considerations, comprised of energy savings potential and ancillary benefits potential; and program feasibility considerations, comprised of program development and implementation potential and market dissemination potential, have almost equal impacts on assessment of emerging energy efficiency programs. Considering the overwhelming number of value-focused studies and the few feasibility-focused studies in the literature, this finding clearly shows that feasibility-focused studies are greatly understudied. The hierarchical decision model developed in this dissertation is generalizable. Thus, other utilities or power systems can adopt the research steps employed in this study as guidelines and conduct similar assessment studies on emerging energy efficiency programs of their interest.

A Global Review of Incentive Programs to Accelerate Energy-Efficient Appliances and Equipment

DOE Office of Scientific and Technical Information (OSTI.GOV)

de la Rue du Can, Stephane; Phadke, Amol; Leventis, Greg

Incentive programs are an essential policy tool to move the market toward energy-efficient products. They offer a favorable complement to mandatory standards and labeling policies by accelerating the market penetration of energy-efficient products above equipment standard requirements and by preparing the market for increased future mandatory requirements. They sway purchase decisions and in some cases production decisions and retail stocking decisions toward energy-efficient products. Incentive programs are structured according to their regulatory environment, the way they are financed, by how the incentive is targeted, and by who administers them. This report categorizes the main elements of incentive programs, using casemore » studies from the Major Economies Forum to illustrate their characteristics. To inform future policy and program design, it seeks to recognize design advantages and disadvantages through a qualitative overview of the variety of programs in use around the globe. Examples range from rebate programs administered by utilities under an Energy-Efficiency Resource Standards (EERS) regulatory framework (California, USA) to the distribution of Eco-Points that reward customers for buying efficient appliances under a government recovery program (Japan). We found that evaluations have demonstrated that financial incentives programs have greater impact when they target highly efficient technologies that have a small market share. We also found that the benefits and drawbacks of different program design aspects depend on the market barriers addressed, the target equipment, and the local market context and that no program design surpasses the others. The key to successful program design and implementation is a thorough understanding of the market and effective identification of the most important local factors hindering the penetration of energy-efficient technologies.« less

The Comprehensive Risk Assessment for Bypass (CRAB) facilitates efficient perioperative risk assessment for patients with critical limb ischemia.

PubMed

Meltzer, Andrew J; Graham, Ashley; Connolly, Peter H; Meltzer, Ellen C; Karwowski, John K; Bush, Harry L; Schneider, Darren B

2013-05-01

Specific perioperative risk assessment models have been developed for bariatric, pancreatic, and colorectal surgery. A similar instrument, specific for patients with critical limb ischemia (CLI), could improve patient-centered clinical decision making. We describe a novel tool to predict 30-day major morbidity and mortality (M&M) after bypass surgery for CLI. Data for 4985 individuals from the 2007 to 2009 National Surgical Quality Improvement Program were used to develop and internally validate the model. Outcome measures included mortality, major morbidity, and a composite end point (M&M). M&M included mortality and the most severe postoperative morbidities that were highly associated with death (eg, sepsis and major cardiopulmonary complications). More than 30 preoperative factors were tested for association with 30-day mortality, major morbidity, and M&M. Significant predictors in multivariate models were assigned integer values (points), which were added to calculate a patient's Comprehensive Risk Assessment For Bypass (CRAB) score. Performance was assessed (C-index) across all outcome measures and compared with other general tools (American Society of Anesthesiologists class, Surgical Risk Scale) and existing CLI-specific survival prediction models (Finnvasc score, Edifoligide for the Prevention of Infrainguinal Vein Graft Failure [PREVENT III] score) on a distinct validation sample (n = 1620). In the derivation data set (n = 3275), the 30-day mortality rate was 2.9%. The rate of any major morbidity was 19.1%. The composite end point M&M occurred in 10.1%. Significant predictors of M&M by multivariate analysis included age >75 years, prior amputation or revascularization, tissue loss, dialysis dependence, severe cardiac disease, emergency operation, and functional dependence. Applied to a distinct validation sample of 1620 patients, higher CRAB scores were significantly associated with higher rates of mortality, all major morbidities, and M&M (P < .0001). Comparison with other models by assessment of area under the receiver-operating characteristic curve revealed the CRAB was a more accurate predictor of mortality, all major morbidity, and M&M. The CRAB is a CLI-specific, risk assessment instrument derived from multi-institutional American College of Surgeons-National Surgical Quality Improvement Program surgical outcomes data that out-performs existing prognostic risk indices in the prediction of clinically significant adverse events after bypass surgery. Use of the CRAB as a risk assessment tool provides an evidence basis for patient-centered clinical decision making and may have a role in identifying patients at higher risk for surgical revascularization in whom an endovascular approach is preferable. Copyright © 2013 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

Determinants of Successful Weight Loss After Using a Commercial Web-Based Weight Reduction Program for Six Months: Cohort Study

PubMed Central

Postrach, Elisa; Aspalter, Rosa; Elbelt, Ulf; Koller, Michael; Longin, Rita; Schulzke, Jörg-Dieter

2013-01-01

Background The Internet is widely available and commonly used for health information; therefore, Web-based weight loss programs could provide support to large parts of the population in self-guided weight loss. Previous studies showed that Web-based weight loss interventions can be effective, depending on the quality of the program. The most effective program tools are visual progress charts or tools for the self-monitoring of weight, diet, and exercises. KiloCoach, a commercial program currently available in German-speaking countries, incorporates these features. A previous investigation showed that the program effectively supports users in losing weight. Objective We investigated weight loss dynamics stratified by weight loss success after 6-month use of KiloCoach. Furthermore, we analyzed possible associations between intensity of program use and weight loss. The results are intended for tailoring user recommendations for weight-loss Internet platforms. Methods Datasets of KiloCoach users (January 1, 2008 to December 31, 2011) who actively used the platform for 6 months or more were assigned to this retrospective analysis. Users (N=479) were 42.2% men, mean age of 44.0 years (SD 11.7), with a mean body mass index (BMI) of 31.7 kg/m2 (SD 3.2). Based on the weight loss achieved after 6 months, 3 success groups were generated. The unsuccessful group lost <5%, the moderate success group lost 5%-9.9%, and the high success group lost ≥10% of their baseline body weight. At baseline, the unsuccessful (n=261, 54.5%), moderate success (n=133, 27.8%), and high success (n=85, 17.8%) groups were similar in age, weight, BMI, and gender distribution. Results After 6 months, the unsuccessful group lost 1.2% (SD 2.4), the moderate success group lost 7.4% (SD 1.5), and the high success group lost 14.2% (SD 3.8) of their initial weight (P<.001). Multivariate regression showed that early weight loss (weeks 3-4), the total number of dietary protocols, and the total number of weight entries were independent predictors for 6-month weight reduction (all P<.001) explaining 52% of the variance in weight reduction. Sensitivity analysis by baseline carried forward method confirmed all independent predictors of 6-month weight loss and reduced the model fit by only 11%. The high success group lost weight faster and maintained weight loss more efficiently than the other groups (P<.001). Early weight loss was associated with weight maintenance after 1 year and 2 years (both P<.001). Weight dynamics did not differ between men and women over 6 months when adjusted for baseline and usage parameters (P=.91). The percentage of male long-term users was unusually high (42.2%). Conclusions Our results suggest that early weight loss and close program adherence (ie, 5 dietary protocols per week and weekly entering of current weight), especially in the early phase of program usage, can improve weight loss outcome. PMID:24126250

Predicting complete loss to follow-up after a health-education program: number of absences and face-to-face contact with a researcher.

PubMed

Park, M J; Yamazaki, Yoshihiko; Yonekura, Yuki; Yukawa, Keiko; Ishikawa, Hirono; Kiuchi, Takahiro; Green, Joseph

2011-10-27

Research on health-education programs requires longitudinal data. Loss to follow-up can lead to imprecision and bias, and complete loss to follow-up is particularly damaging. If that loss is predictable, then efforts to prevent it can be focused on those program participants who are at the highest risk. We identified predictors of complete loss to follow-up in a longitudinal cohort study. Data were collected over 1 year in a study of adults with chronic illnesses who were in a program to learn self-management skills. Following baseline measurements, the program had one group-discussion session each week for six weeks. Follow-up questionnaires were sent 3, 6, and 12 months after the baseline measurement. A person was classified as completely lost to follow-up if none of those three follow-up questionnaires had been returned by two months after the last one was sent.We tested two hypotheses: that complete loss to follow-up was directly associated with the number of absences from the program sessions, and that it was less common among people who had had face-to-face contact with one of the researchers. We also tested predictors of data loss identified previously and examined associations with specific diagnoses.Using the unpaired t-test, the U test, Fisher's exact test, and logistic regression, we identified good predictors of complete loss to follow-up. The prevalence of complete loss to follow-up was 12.2% (50/409). Complete loss to follow-up was directly related to the number of absences (odds ratio; 95% confidence interval: 1.78; 1.49-2.12), and it was inversely related to age (0.97; 0.95-0.99). Complete loss to follow-up was less common among people who had met one of the researchers (0.51; 0.28-0.95) and among those with connective tissue disease (0.29; 0.09-0.98). For the multivariate logistic model the area under the ROC curve was 0.77. Complete loss to follow-up after this health-education program can be predicted to some extent from data that are easy to collect (age, number of absences, and diagnosis). Also, face-to-face contact with a researcher deserves further study as a way of increasing participation in follow-up, and health-education programs should include it.

Evaluation of a four- versus six-week length of stay in the Navy's alcohol treatment program.

PubMed

Trent, L K

1998-05-01

Attempts to balance escalating health care costs with resource downsizing have prompted alcohol treatment directors in the U.S. Navy to consider reducing the standard length of stay in treatment. The objectives of this study were to (1) determine whether a 4-week inpatient treatment program is as effective as a 6-week program, and (2) explore the potential for matching patients to a 4- or 6-week program according to the severity of their condition at intake. A total of 2,823 active-duty alcohol-dependent inpatients (2,685 men, 138 women) at 12 Navy treatment facilities participated in the evaluation. All facilities conducted a 6-week program until data had been collected for 1,380 participants; they then switched to a 4-week program (n = 1,443). Background information and clinical profile were obtained when patients entered treatment; 1-year outcome data (e.g., alcohol use, behavior problems, job performance, quality of life) were obtained from participants, work supervisors and aftercare advisors. Hierarchical multiple regression analyses were used to assess the effect of length of stay on outcome and to examine patient-program interactions. The single best predictor of success at 1 year was months of aftercare attendance. Program membership failed to explain any of the observed differences in the criterion measures, once the effects of other predictors had been taken into account. Severity of condition and patient-program interactions were likewise nonsignificant. It was concluded that a reduction in length of stay from 6 weeks to 4 weeks in the Navy's inpatient alcohol treatment program would not have an adverse effect on outcome.

Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence

PubMed Central

Ahn, Woo-Young; Vassileva, Jasmin

2016-01-01

Background Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited due to the high rates of polysubstance-dependence among drug users. Methods The goal of the current study was to identify multivariate substance-specific markers classifying heroin dependence (HD) and amphetamine dependence (AD), by using machine-learning approaches. Participants included 39 amphetamine mono-dependent, 44 heroin mono-dependent, 58 polysubstance dependent, and 81 non-substance dependent individuals. The majority of substance dependent participants were in protracted abstinence. We used demographic, personality (trait impulsivity, trait psychopathy, aggression, sensation seeking), psychiatric (attention deficit hyperactivity disorder, conduct disorder, antisocial personality disorder, psychopathy, anxiety, depression), and neurocognitive impulsivity measures (Delay Discounting, Go/No-Go, Stop Signal, Immediate Memory, Balloon Analogue Risk, Cambridge Gambling, and Iowa Gambling tasks) as predictors in a machine-learning algorithm. Results The machine-learning approach revealed substance-specific multivariate profiles that classified HD and AD in new samples with high degree of accuracy. Out of 54 predictors, psychopathy was the only classifier common to both types of addiction. Important dissociations emerged between factors classifying HD and AD, which often showed opposite patterns among individuals with HD and AD. Conclusions These results suggest that different mechanisms may underlie HD and AD, challenging the unitary account of drug addiction. This line of work may shed light on the development of standardized and cost-efficient clinical diagnostic tests and facilitate the development of individualized prevention and intervention programs for HD and AD. PMID:26905209

Use of generalized linear models and digital data in a forest inventory of Northern Utah

USGS Publications Warehouse

Moisen, Gretchen G.; Edwards, Thomas C.

1999-01-01

Forest inventories, like those conducted by the Forest Service's Forest Inventory and Analysis Program (FIA) in the Rocky Mountain Region, are under increased pressure to produce better information at reduced costs. Here we describe our efforts in Utah to merge satellite-based information with forest inventory data for the purposes of reducing the costs of estimates of forest population totals and providing spatial depiction of forest resources. We illustrate how generalized linear models can be used to construct approximately unbiased and efficient estimates of population totals while providing a mechanism for prediction in space for mapping of forest structure. We model forest type and timber volume of five tree species groups as functions of a variety of predictor variables in the northern Utah mountains. Predictor variables include elevation, aspect, slope, geographic coordinates, as well as vegetation cover types based on satellite data from both the Advanced Very High Resolution Radiometer (AVHRR) and Thematic Mapper (TM) platforms. We examine the relative precision of estimates of area by forest type and mean cubic-foot volumes under six different models, including the traditional double sampling for stratification strategy. Only very small gains in precision were realized through the use of expensive photointerpreted or TM-based data for stratification, while models based on topography and spatial coordinates alone were competitive. We also compare the predictive capability of the models through various map accuracy measures. The models including the TM-based vegetation performed best overall, while topography and spatial coordinates alone provided substantial information at very low cost.

Smoking behavior and motivation to quit among chronic pain patients initiating multidisciplinary pain treatment: a prospective study.

PubMed

Unrod, Marina; Gironda, Ronald J; Clark, Michael E; White, Kristi E; Simmons, Vani N; Sutton, Steven K; Brandon, Thomas H

2014-08-01

The primary aim of this study was to assess smoking characteristics and cessation motivation prior to and after initiation of multidisciplinary chronic pain treatment. A secondary aim was to identify predictors of cessation motivation among smokers initiating treatment for chronic pain. We used a prospective, nonrandomized, repeated measures design. The study was conducted in a multidisciplinary specialty pain treatment program at a veterans hospital. Smokers (N = 90) referred to a multidisciplinary pain program for the treatment of chronic pain. Patients completed questionnaires assessing pain-related and smoking-related factors prior to (baseline) and 8 weeks post (follow-up) specialty pain treatment initiation. Primary outcome measures were the Contemplation Ladder and the Stages of Change (SOC) algorithm. At baseline, patients reported moderate levels of cessation motivation, and 69% were in the contemplation stage or higher on the SOC. Motivation to quit smoking was higher at follow-up compared with baseline on both continuous, t(89) = 2.11, P < 0.05, and stage-based, z = 3.69, P < 0.01, measures. At follow-up, participants reported greater interest in receiving cessation interventions, and 7.8% of patients had quit smoking. Pain-related predictors of motivation (e.g., pain intensity) were subsumed by more general predictors (e.g., nicotine dependence). Patients in this sample were more motivated to quit smoking a few weeks after, as compared with before initiating specialty pain treatment. Future research into pain-specific predictors of cessation motivation is warranted to inform the development of interventions that address pain patients' unique needs. Wiley Periodicals, Inc.

The slippery slope: prediction of successful weight maintenance in anorexia nervosa

PubMed Central

Kaplan, A. S.; Walsh, B. T.; Olmsted, M.; Attia, E.; Carter, J. C.; Devlin, M. J.; Pike, K. M.; Woodside, B.; Rockert, W.; Roberto, C. A.; Parides, M.

2015-01-01

Background Previous research has found that many patients with anorexia nervosa (AN) are unable to maintain normal weight after weight restoration. The objective of this study was to identify variables that predicted successful weight maintenance among weight-restored AN patients. Method Ninety-three patients with AN treated at two sites (Toronto and New York) through in-patient or partial hospitalization achieved a minimally normal weight and were then randomly assigned to receive fluoxetine or placebo along with cognitive behavioral therapy (CBT) for 1 year. Clinical, demographic and psychometric variables were assessed after weight restoration prior to randomization and putative predictors of successful weight maintenance at 6 and 12 months were examined. Results The most powerful predictors of weight maintenance at 6 and 12 months following weight restoration were pre-randomization body mass index (BMI) and the rate of weight loss in the first 28 days following randomization. Higher BMI and lower rate of weight loss were associated with greater likelihood of maintaining a normal BMI at 6 and 12 months. An additional predictor of weight maintenance was site; patients in Toronto fared better than those in New York. Conclusions This study found that the best predictors of weight maintenance in weight-restored AN patients over 6 and 12 months were the level of weight restoration at the conclusion of acute treatment and the avoidance of weight loss immediately following intensive treatment. These results suggest that outcome might be improved by achieving a higher BMI during structured treatment programs and on preventing weight loss immediately following discharge from such programs. PMID:18845008

Optimal Settings for the Noncontact Holmium:YAG Stone Fragmentation Popcorn Technique.

PubMed

Emiliani, Esteban; Talso, Michele; Cho, Sung-Yong; Baghdadi, Mohammed; Mahmoud, Sadam; Pinheiro, Hugo; Traxer, Olivier

2017-09-01

The purpose of this study was to evaluate the popcorn technique using a wide range of holmium laser settings and fiber sizes in a systematic in vitro assessment. Evaluations were done with 4 artificial stones in a collection tube. A fixed ureteroscope was inserted through a ureteral access sheath to provide constant irrigation flow and the laser was placed 1 mm from the bottom. Combinations of 0.5 to 1.5 J, 10 to 20 and 40 Hz, and long and short pulses were tested for 2 and 4 minutes. We used 273 and 365 μm laser fibers. All tests were repeated 3 times. The stones were weighed before and after the experiments to evaluate the setting efficiency. Significant predictors of a highly efficient technique were assessed. A total of 144 tests were performed. Mean starting weight of the stones was 0.23 gm, which was consistent among the groups. After the experiment the median weight difference was 0.07 gm (range 0.01 to 0.24). When designating a 50% reduction in stone volume as the threshold indicating high efficiency, the significant predictors of an efficient popcorn technique were a long pulse (OR 2.7, 95% CI 1.05-7.15), a longer duration (OR 11.4, 95% CI 3.88-33.29), a small (273 μm) laser fiber (OR 0.23, 95% CI 0.08-0.70) and higher power (W) (OR 1.14, 95% CI 1.09-1.20). Higher energy, a longer pulse, frequencies higher than 10 Hz, a longer duration and a smaller laser fiber predict a popcorn technique that is more efficient at reducing stone volume. Copyright © 2017 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

How Do Pre-Kindergarteners Spend Their Time? Gender, Ethnicity, and Income as Predictors of Experiences in Pre-Kindergarten Classrooms

ERIC Educational Resources Information Center

Early, Diane M.; Iruka, Iheoma U.; Ritchie, Sharon; Barbarin, Oscar A.; Winn, Donna-Marie C.; Crawford, Gisele M.; Frome, Pamela M.; Clifford, Richard M.; Burchinal, Margaret; Howes, Carollee; Bryant, Donna M.; Pianta, Robert C.

2010-01-01

The current paper considers how children spend their time in state-funded pre-kindergarten programs and how time use relates to ethnicity, gender, and family income, based on the assumption that how time is spent in pre-kindergarten is relevant for the programs' success in narrowing achievement gaps. Classroom observations of 2061 children in 652…

Poverty, School Size and Charter Designation as Predictors of Student Achievement on a Statewide High-Stakes Testing Program

ERIC Educational Resources Information Center

Chamberlin, James L.

2007-01-01

Over the past five years the Colorado Department of Education (CDE) has used the results of the Colorado Student Assessment Program (CSAP) to rate public school performance on the School Accountability Report (SAR). The public often considers the school ratings as indicative of the school's quality. There appears to be a lack of quantitative…

Mining Predictors of Success in Air Force Flight Training Regiments via Semantic Analysis of Instructor Evaluations

DTIC Science & Technology

2018-03-01

We apply our methodology to the criticism text written in the flight-training program student evaluations in order to construct a model that...factors. We apply our methodology to the criticism text written in the flight-training program student evaluations in order to construct a model...9 D. BINARY CLASSIFICATION AND FEATURE SELECTION ..........11 III. METHODOLOGY

Retention of Children and Their Families in the Longitudinal Outcome Study of the Comprehensive Community Mental Health Services for Children and Their Families Program: A Multilevel Analysis

ERIC Educational Resources Information Center

Gebreselassie, Tesfayi; Stephens, Robert L.; Maples, Connie J.; Johnson, Stacy F.; Tucker, Alyce L.

2014-01-01

Predictors of retention of participants in a longitudinal study and heterogeneity between communities were investigated using a multilevel logistic regression model. Data from the longitudinal outcome study of the national evaluation of the Comprehensive Community Mental Health Services for Children and Their Families program and information on…

Characteristics Predicting Nursing Home Admission in the Program of All-Inclusive Care for Elderly People

ERIC Educational Resources Information Center

Friedman, Susan M.; Steinwachs, Donald M.; Rathouz, Paul J.; Burton, Lynda C.; Mukamel, Dana B.

2005-01-01

Long term care in a nursing home prior to enrollment in PACE remain at high risk of readmission, despite the availability of comprehensive services. This study determined overall risk and predictors of long-term nursing home admission within the Program of All-Inclusive Care for the Elderly (PACE). Design and Methods: Data PACE records for 4,646…

Individual-Level Predictors of Nonparticipation and Dropout in a Life-Skills HIV Prevention Program for Adolescents in Foster Care

ERIC Educational Resources Information Center

Thompson, Ronald G., Jr.; Auslander, Wendy F.; Alonzo, Dana

2012-01-01

The purpose of this study is to identify individual-level characteristics of foster care adolescents who are more likely to not participate in, and drop out of, a life-skills HIV prevention program delivered over 8 months. Structured interviews were conducted with 320 foster care adolescents (15-18 years). Logistic regression and survival analyses…

School and Community Predictors of Smoking: A Longitudinal Study of Canadian High Schools

PubMed Central

Watts, Allison; Brown, K. Stephen; Lee, Derrick; Sabiston, Catherine; Nykiforuk, Candace; Eyles, John; Manske, Steve; Campbell, H. Sharon; Thompson, Mary

2013-01-01

Objectives. We identified the most effective mix of school-based policies, programs, and regional environments associated with low school smoking rates in a cohort of Canadian high schools over time. Methods. We collected a comprehensive set of student, school, and community data from a national cohort of 51 high schools in 2004 and 2007. Hierarchical linear modeling was used to predict school and community characteristics associated with school smoking prevalence. Results. Between 2004 and 2007, smoking prevalence decreased from 13.3% to 10.7% in cohort schools. Predictors of lower school smoking prevalence included both school characteristics related to prevention programming and community characteristics, including higher cigarette prices, a greater proportion of immigrants, higher education levels, and lower median household income. Conclusions. Effective approaches to reduce adolescent smoking will require interventions that focus on multiple factors. In particular, prevention programming and high pricing for cigarettes sold near schools may contribute to lower school smoking rates, and these factors are amenable to change. A sustained focus on smoking prevention is needed to maintain low levels of adolescent smoking. PMID:23237165

Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection

NASA Astrophysics Data System (ADS)

Kashid, S. S.; Ghosh, Subimal; Maity, Rajib

2010-12-01

SummarySimultaneous variations in weather and climate over widely separated regions are commonly known as "hydroclimatic teleconnections". Rainfall and runoff patterns, over continents, are found to be significantly teleconnected, with large-scale circulation patterns, through such hydroclimatic teleconnections. Though such teleconnections exist in nature, it is very difficult to model them, due to their inherent complexity. Statistical techniques and Artificial Intelligence (AI) tools gain popularity in modeling hydroclimatic teleconnection, based on their ability, in capturing the complicated relationship between the predictors (e.g. sea surface temperatures) and predictand (e.g., rainfall). Genetic Programming is such an AI tool, which is capable of capturing nonlinear relationship, between predictor and predictand, due to its flexible functional structure. In the present study, gridded multi-site weekly rainfall is predicted from El Niño Southern Oscillation (ENSO) indices, Equatorial Indian Ocean Oscillation (EQUINOO) indices, Outgoing Longwave Radiation (OLR) and lag rainfall at grid points, over the catchment, using Genetic Programming. The predicted rainfall is further used in a Genetic Programming model to predict streamflows. The model is applied for weekly forecasting of streamflow in Mahanadi River, India, and satisfactory performance is observed.

School and community predictors of smoking: a longitudinal study of Canadian high schools.

PubMed

Lovato, Chris; Watts, Allison; Brown, K Stephen; Lee, Derrick; Sabiston, Catherine; Nykiforuk, Candace; Eyles, John; Manske, Steve; Campbell, H Sharon; Thompson, Mary

2013-02-01

We identified the most effective mix of school-based policies, programs, and regional environments associated with low school smoking rates in a cohort of Canadian high schools over time. We collected a comprehensive set of student, school, and community data from a national cohort of 51 high schools in 2004 and 2007. Hierarchical linear modeling was used to predict school and community characteristics associated with school smoking prevalence. Between 2004 and 2007, smoking prevalence decreased from 13.3% to 10.7% in cohort schools. Predictors of lower school smoking prevalence included both school characteristics related to prevention programming and community characteristics, including higher cigarette prices, a greater proportion of immigrants, higher education levels, and lower median household income. Effective approaches to reduce adolescent smoking will require interventions that focus on multiple factors. In particular, prevention programming and high pricing for cigarettes sold near schools may contribute to lower school smoking rates, and these factors are amenable to change. A sustained focus on smoking prevention is needed to maintain low levels of adolescent smoking.

Neurologic continuum of care: Evidence-based model of a post-hospital system of care.

PubMed

Lewis, Frank D; Horn, Gordon J

2015-01-01

There is increasing need for a well-organized continuum of post-hospital rehabilitative care to reduce long term disability resulting from acquired brain injury. This study examined the effectiveness of four levels of post-hospital care (active neurorehabilitation, neurobehavioral intensive, day treatment, and supported living) and the functional variables most important to their success. Participants were 1276 adults with acquired brain injury who were being treated in one of the four program levels. A Repeated Measures MANOVA was used to evaluate change from admission to discharge on the Mayo Portland Adaptability Inventory-4 T-scores. Regression analyses were used to identify predictors of outcome. Statistical improvement on the MPAI-4 was observed at each program level. Self-care and Initiation were the strongest predictors of outcome. The results support the effectiveness of a continuum of care for acquired brain injury individuals beyond hospitalization and acute in-hospital rehabilitation. It is particularly noteworthy that reduction in disability was achieved for all levels of programming even with participants whose onset to admission exceeded 7 years post-injury.

Integrating a Career Planning and Development Program into the Baccalaureate Nursing Curriculum: Part III. Impact on Faculty's Career Satisfaction and Confidence in Providing Student Career Coaching.

PubMed

Waddell, Janice; Spalding, Karen; Navarro, Justine; Gaitana, Gianina

2015-11-25

As career satisfaction has been identified as a predictor of retention of nurses across all sectors, it is important that career satisfaction of both new and experienced nursing faculty is recognized in academic settings. A study of a curriculum-based career planning and development (CPD) program was conducted to determine the program's effects on participating students, new graduate nurses, and faculty. This third in a series of three papers reports on how the CPD intervention affected faculty participants' sense of career satisfaction and confidence in their role as career educators and coaches. Faculty who participated in the intervention CPD intervention group reported an increase in confidence in their ability to provide career coaching and education to students. They further indicated that their own career development served to enhance career satisfaction; an outcome identified as a predictor of faculty career satisfaction. Study results suggest that interventions such as the one described in this paper can have a potentially positive impact in other settings as well.

Predictors of workplace sexual health policy at sex work establishments in the Philippines.

PubMed

Withers, M; Dornig, K; Morisky, D E

2007-09-01

Based on the literature, we identified manager and establishment characteristics that we hypothesized are related to workplace policies that support HIV protective behavior. We developed a sexual health policy index consisting of 11 items as our outcome variable. We utilized both bivariate and multivariate analysis of variance. The significant variables in our bivariate analyses (establishment type, number of employees, manager age, and membership in manager association) were entered into a multivariate regression model. The model was significant (p<.01), and predicted 42) of the variability in the development and management of a workplace sexual health policy supportive of condom use. The significant predictors were number of employees and establishment type. In addition to individually-focused CSW interventions, HIV prevention programs should target managers and establishment policies. Future HIV prevention programs may need to focus on helping smaller establishments, in particular those with less employees, to build capacity and develop sexual health policy guidelines.

Sex differences in the relation of weight loss self-efficacy, binge eating, and depressive symptoms to weight loss success in a residential obesity treatment program.

PubMed

Presnell, Katherine; Pells, Jennifer; Stout, Anna; Musante, Gerard

2008-04-01

The aim of the current study was to examine whether weight loss self-efficacy, binge eating, and depressive symptoms predicted weight loss during treatment, and whether gender moderates these associations with prospective data from 297 participants (223 women and 74 men) enrolled in a residential obesity treatment program. Men reported higher initial levels of self-efficacy than women, whereas women reported greater pre-treatment levels of binge eating and depressive symptoms. Higher pre-treatment levels of weight control self-efficacy, binge eating, and depressive symptoms predicted greater weight loss in men, but not in women. Results suggest that certain psychological and behavioral factors should be considered when implementing weight loss interventions, and indicate a need to consider gender differences in predictors of weight loss treatment. Future research should seek to identify predictors of weight loss among women.

Personality Assessment Inventory scores as predictors of misconduct among sex offenders civilly committed as sexually violent predators.

PubMed

Boccaccini, Marcus T; Rufino, Katrina A; Jackson, Rebecca L; Murrie, Daniel C

2013-12-01

We examined the usefulness of scores on the Personality Assessment Inventory (PAI; Morey, 1991) in predicting treatment program violations among 76 sexual offenders civilly committed as sexually violent predators. Scores on the Borderline Features scale (area under the curve [AUC] = .69, p = .005) and Negative Relationships subscale (BOR-N: AUC = .71, p < .001) were the strongest predictors of misconduct, outperforming scores on scales designed to predict poor treatment amenability and antisocial behavior. Incremental validity analyses indicated that BOR scores made a significant contribution to the prediction of misconduct after controlling for scores on measures of overall self-reported distress (e.g., Mean Clinical Elevation, Negative Impression), which were also predictive of program violations. Overall, our findings point to the potential utility of integrating components of treatment for borderline personality disorder into sex offender treatment. (c) 2013 APA, all rights reserved.

Assessment of Communications-related Admissions Criteria in a Three-year Pharmacy Program

PubMed Central

Tejada, Frederick R.; Lang, Lynn A.; Purnell, Miriam; Acedera, Lisa; Ngonga, Ferdinand

2015-01-01

Objective. To determine if there is a correlation between TOEFL and other admissions criteria that assess communications skills (ie, PCAT variables: verbal, reading, essay, and composite), interview, and observational scores and to evaluate TOEFL and these admissions criteria as predictors of academic performance. Methods. Statistical analyses included two sample t tests, multiple regression and Pearson’s correlations for parametric variables, and Mann-Whitney U for nonparametric variables, which were conducted on the retrospective data of 162 students, 57 of whom were foreign-born. Results. The multiple regression model of the other admissions criteria on TOEFL was significant. There was no significant correlation between TOEFL scores and academic performance. However, significant correlations were found between the other admissions criteria and academic performance. Conclusion. Since TOEFL is not a significant predictor of either communication skills or academic success of foreign-born PharmD students in the program, it may be eliminated as an admissions criterion. PMID:26430273

Assessment of Communications-related Admissions Criteria in a Three-year Pharmacy Program.

PubMed

Parmar, Jayesh R; Tejada, Frederick R; Lang, Lynn A; Purnell, Miriam; Acedera, Lisa; Ngonga, Ferdinand

2015-08-25

To determine if there is a correlation between TOEFL and other admissions criteria that assess communications skills (ie, PCAT variables: verbal, reading, essay, and composite), interview, and observational scores and to evaluate TOEFL and these admissions criteria as predictors of academic performance. Statistical analyses included two sample t tests, multiple regression and Pearson's correlations for parametric variables, and Mann-Whitney U for nonparametric variables, which were conducted on the retrospective data of 162 students, 57 of whom were foreign-born. The multiple regression model of the other admissions criteria on TOEFL was significant. There was no significant correlation between TOEFL scores and academic performance. However, significant correlations were found between the other admissions criteria and academic performance. Since TOEFL is not a significant predictor of either communication skills or academic success of foreign-born PharmD students in the program, it may be eliminated as an admissions criterion.

Home food safety program for the Georgia Older Americans Act Nutrition Program.

PubMed

Sellers, Tiffany; Andress, Elizabeth; Fischer, Joan G; Johnson, Mary Ann

2006-01-01

This study examined the effects of an educational intervention on improving home food safety practices (HFSP) in 136 older adults (mean age: 79 years; 74% female; 61% Caucasian). At the pre-test, adherence to 16 HFSP was variable and ranged from or= 76% for other practices. Following the intervention, participants were more likely to wash their hands with warm water and soap for 20 seconds before eating (76% vs. 90%, P

Occupational turnover intentions among substance abuse counselors

PubMed Central

Rothrauff, Tanja C.; Abraham, Amanda J.; Bride, Brian E.; Roman, Paul M.

2010-01-01

This study examined predictor, moderator, and mediator variables of occupational turnover intention (OcTI) among substance abuse counselors. Data were obtained via questionnaires from 929 counselors working in 225 private substance abuse treatment (SAT) programs across the U.S. Hierarchical multiple regression models were conducted to assess predictor, moderator, and mediator variables of OcTI. OcTI scores were relatively low on a 7-point scale, indicating that very few counselors definitely intended to leave the SAT field. Age, certification, positive perceptions of procedural and distributive justice, and hospital-based status negatively predicted OcTI. Counselors’ substance use disorder impacted history moderated the association between organizational commitment and OcTI. Organizational turnover intention partially mediated the link between organizational commitment and OcTI. Workforce stability might be achieved by promoting perceptions of advantages to working in a particular treatment program, organizational commitment, showing appreciation for counselors’ work, and valuing employees from diverse backgrounds. PMID:20947285

Can attachment and peer relation constructs predict anxiety in ethnic minority youths? A longitudinal exploratory study.

PubMed

Esbjørn, Barbara Hoff; Breinholst, Sonja; Kriss, Alexander; Hald, Helle Hindhede; Steele, Howard

2015-01-01

Anxiety is the most prevalent psychiatric disturbance in childhood effecting typically 15-20% of all youth. It has been associated with attachment insecurity and reduced competence in peer relations. Prior work has been limited by including mainly White samples, relying on questionnaires, and applying a cross-sectional design. The present study addressed these limitations by considering how at-risk non-White youth (n = 34) responded to the Friends and Family Interview (FFI) in middle childhood and how this linked up with anxiety symptoms and an anxiety diagnosis three years later in early adolescence. Five dimensions of secure attachment, namely, (i) to mother, (ii) to father, (iii) coherence, (iv) developmental understanding, and (v) social competence and quality of contact with best friend in middle childhood, were found to correlate significantly (and negatively) with self-reported anxiety symptoms. Linear regression results showed independent influences of female gender, and (low) quality of best friend contact as the most efficient model predicting anxiety symptoms. Logistic regression results suggested a model that included female gender, low social competence, and immature developmental understanding as efficient predictors of an anxiety diagnosis, evident in only 18% of the sample. These results point to the usefulness of after-school programs for at-risk minority youth in promoting peer competence, developmental awareness, and minimizing anxiety difficulties.

Predictors of Adolescent Functioning in Girls with Attention-deficit/Hyperactivity Disorder (ADHD): The Role of Childhood ADHD, Conduct Problems, and Peer Status

PubMed Central

2010-01-01

Predictors of adolescent functioning were studied in an ethnically diverse sample of girls with attention-deficit/hyperactivity disorder (ADHD) (n = 140) and age- and ethnicity-matched comparison girls (n = 88) who participated in naturalistic summer programs during childhood. Over a five-year follow-up (sample retention = 92%; age range = 11.3–18.2 years), conduct problems were predicted by hyperactivity-impulsivity (HI) symptoms and noncompliance (NC). Academic achievement was predicted only by inattention symptoms, whereas school suspensions/expulsions were predicted by inattention symptoms (ADHD sample only), NC, and negative peer status. Substance use was predicted by NC and HI symptoms. Internalizing problems were predicted by HI symptoms, noncompliance, and covert antisocial behavior. Finally, initial peer status was the only significant predictor of later negative social preference. PMID:16836474

A comparative test of the theory of reasoned action and the theory of planned behavior in the prediction of condom use intentions in a national sample of English young people.

PubMed

Sutton, S; McVey, D; Glanz, A

1999-01-01

Based on the theories of reasoned action (TRA) and planned behavior (TPB), predictors of condom use intentions were investigated in 949 young people (16-24 years of age) from a national survey conducted in England. Contrary to expectations, the TPB did not perform significantly better than the TRA, even among women. Measures of past behavior were the best predictors of intentions and attenuated the effects of attitude and subjective norm. There was only weak evidence for the multiplicative assumption underlying the TRA and TPB. Although the TRA components were not the strongest predictors, the beliefs on which they are based are potentially amenable to change through information-based intervention programs. A number of practical suggestions for developing intervention strategies are offered.

HiRel: Hybrid Automated Reliability Predictor (HARP) integrated reliability tool system, (version 7.0). Volume 2: HARP tutorial

NASA Technical Reports Server (NTRS)

Rothmann, Elizabeth; Dugan, Joanne Bechta; Trivedi, Kishor S.; Mittal, Nitin; Bavuso, Salvatore J.

1994-01-01

The Hybrid Automated Reliability Predictor (HARP) integrated Reliability (HiRel) tool system for reliability/availability prediction offers a toolbox of integrated reliability/availability programs that can be used to customize the user's application in a workstation or nonworkstation environment. The Hybrid Automated Reliability Predictor (HARP) tutorial provides insight into HARP modeling techniques and the interactive textual prompting input language via a step-by-step explanation and demonstration of HARP's fault occurrence/repair model and the fault/error handling models. Example applications are worked in their entirety and the HARP tabular output data are presented for each. Simple models are presented at first with each succeeding example demonstrating greater modeling power and complexity. This document is not intended to present the theoretical and mathematical basis for HARP.

Self-Efficacy as Predictor of Collective Self-Efficacy among Preschool Teachers in Turkey

ERIC Educational Resources Information Center

Arslan, Emel

2017-01-01

This study investigates the effect of preschool teachers' collective self-efficacy. A study group consists of 172 preschool teachers who are working in public preschools affiliated with the Ministry of National Education in different cities of Turkey. In this study, teacher self-efficiency scale is employed to assess professional efficiency…

Output-Orientated Data Envelopment Analysis for Measuring Recycling Efficiency: An Application at Italian Regional Level

ERIC Educational Resources Information Center

Crociata, Alessandro; Mattoscio, Nicola

2016-01-01

Pro-environmental behaviours associated with reducing, reusing and recycling have become increasingly matters of public policy concern. However, the existing literature on waste management rarely considers the cultural factors associated with predictors and enablers of recycling behaviours, nor has it deeply explored the relation between cultural…

Newly emerging resource efficiency manager programs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wolf, S.; Howell, C.

1997-12-31

Many facilities in the northwest such as K--12 schools, community colleges, and military installations are implementing resource-efficiency awareness programs. These programs are generally referred to as resource efficiency manager (REM) or resource conservation manager (RCM) programs. Resource efficiency management is a systems approach to managing a facility`s energy, water, and solid waste. Its aim is to reduce utility budgets by focusing on behavioral changes, maintenance and operation procedures, resource accounting, education and training, and a comprehensive awareness campaign that involves everyone in the organization.

Early language processing efficiency predicts later receptive vocabulary outcomes in children born preterm.

PubMed

Marchman, Virginia A; Adams, Katherine A; Loi, Elizabeth C; Fernald, Anne; Feldman, Heidi M

2016-01-01

As rates of prematurity continue to rise, identifying which preterm children are at increased risk for learning disabilities is a public health imperative. Identifying continuities between early and later skills in this vulnerable population can also illuminate fundamental neuropsychological processes that support learning in all children. At 18 months adjusted age, we used socioeconomic status (SES), medical variables, parent-reported vocabulary, scores on the Bayley Scales of Infant and Toddler Development (third edition) language composite, and children's lexical processing speed in the looking-while-listening (LWL) task as predictor variables in a sample of 30 preterm children. Receptive vocabulary as measured by the Peabody Picture Vocabulary Test (fourth edition) at 36 months was the outcome. Receptive vocabulary was correlated with SES, but uncorrelated with degree of prematurity or a composite of medical risk. Importantly, lexical processing speed was the strongest predictor of receptive vocabulary (r = -.81), accounting for 30% unique variance. Individual differences in lexical processing efficiency may be able to serve as a marker for information processing skills that are critical for language learning.

Finite element assisted prediction of ductile fracture in sheet bulging

NASA Astrophysics Data System (ADS)

Donald, Bryan J. Mac; Lorza, Ruben Lostado; Yoshihara, Shoichiro

2017-10-01

With growing demand for energy efficiency, there is much focus on reducing oil consumption rates and utilising alternative fuels. A contributor to the solution in this area is to produce lighter vehicles that are more fuel efficient and/or allow for the use of alternative fuel sources (e.g. electric powered automobiles). Near-net-shape manufacturing processes such as hydroforming have great potential to reduce structural weight while still maintaining structural strength and performance. Finite element analysis techniques have proved invaluable in optimizing such hydroforming processes, however, the majority of such studies have used simple predictors of failure which are usually yield criteria such as von Mises stress. There is clearly potential to obtain more optimal solutions using more advanced predictors of failure. This paper compared the Von Mises stress failure criteria and the Oyane's ductile fracture criteria in the sheet hydroforming of magnesium alloys. It was found that the results obtained from the models which used Oyane's ductile fracture criteria were more realistic than those obtained from those that used Von Mises stress as a failure criteria.

An Efficiency Comparison of MBA Programs: Top 10 versus Non-Top 10

ERIC Educational Resources Information Center

Hsu, Maxwell K.; James, Marcia L.; Chao, Gary H.

2009-01-01

The authors compared the cohort group of the top-10 MBA programs in the United States with their lower-ranking counterparts on their value-added efficiency. The findings reveal that the top-10 MBA programs in the United States are associated with statistically higher average "technical and scale efficiency" and "scale efficiency", but not with a…

Fixed and dynamic predictors of treatment process in therapeutic communities for substance abusers in Belgium.

PubMed

Goethals, Ilse; Vanderplasschen, Wouter; Vandevelde, Stijn; Broekaert, Eric

2012-10-11

Research on substance abuse treatment services in general reflects substantial attention to the notion of treatment process. Despite the growing popularity of process studies, only a few researchers have used instruments specifically tailored to measure the therapeutic community (TC) treatment process, and even fewer have investigated client attributes in relation to early TC treatment process experiences. The aim of the current study is to address this gap by exploring clients' early in-treatment experiences and to determine the predictors that are related to the treatment process, using a TC-specific multidimensional instrument. Data was gathered among 157 adults in five TCs in Flanders (Belgium). Descriptive statistics were used to explore clients' early in-treatment experiences and multiple linear regressions were conducted to determine the fixed and dynamic predictors of Community Environment and Personal Development and Change (two indicators of TC treatment process). Clients reveal a more positive first-month response to TC social processes than to personal-development processes that require self-reflection and insight. The variance in clients' ratings of Community Environment was primarily due to dynamic client factors, while the variance in clients' ratings of Personal Development and Change was only related to fixed client factors. Suitability for treatment was the strongest predictor of Community Environment ratings, whereas a judicial referral more strongly predicted Personal Development and Change scores. Special attention should be devoted to suitability for treatment as part of motivational assessment as this seems to be a very strong predictor of how clients react to the initiation stage of TC treatment. To help improve clients' (meta-)cognitive skills needed to achieve insight and self-reflection and perhaps speed up the process of recovery, the authors suggest the introduction of (meta-)cognitive training strategies in the pre-program and/or the induction stage of a TC program.

Prevalence, Associated Factors and Predictors of Depression among Adults in the Community of Selangor, Malaysia

PubMed Central

Kader Maideen, Siti Fatimah; Mohd. Sidik, Sherina; Rampal, Lekhraj; Mukhtar, Firdaus

2014-01-01

Introduction Depression is one of the most common mental health disorders and is an emerging public health problem. The objectives of this paper were to determine the prevalence of depression, its associated factors and the predictors of depression among adults in the community of Selangor. Methods A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS) in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires. Results A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9) was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity. Conclusion The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the program. PMID:24755607

Prevalence, associated factors and predictors of depression among adults in the community of Selangor, Malaysia.

PubMed

Kader Maideen, Siti Fatimah; Sidik, Sherina Mohd; Rampal, Lekhraj; Mukhtar, Firdaus

2014-01-01

Depression is one of the most common mental health disorders and is an emerging public health problem. The objectives of this paper were to determine the prevalence of depression, its associated factors and the predictors of depression among adults in the community of Selangor. A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS) in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires. A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9) was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity. The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the program.

Ecodriving in hybrid electric vehicles--Exploring challenges for user-energy interaction.

PubMed

Franke, Thomas; Arend, Matthias Georg; McIlroy, Rich C; Stanton, Neville A

2016-07-01

Hybrid electric vehicles (HEVs) can help to reduce transport emissions; however, user behaviour has a significant effect on the energy savings actually achieved in everyday usage. The present research aimed to advance understanding of HEV drivers' ecodriving strategies, and the challenges for optimal user-energy interaction. We conducted interviews with 39 HEV drivers who achieved above-average fuel efficiencies. Regression analyses showed that technical system knowledge and ecodriving motivation were both important predictors for ecodriving efficiency. Qualitative data analyses showed that drivers used a plethora of ecodriving strategies and had diverse conceptualisations of HEV energy efficiency regarding aspects such as the efficiency of actively utilizing electric energy or the efficiency of different acceleration strategies. Drivers also reported several false beliefs regarding HEV energy efficiency that could impair ecodriving efforts. Results indicate that ecodriving support systems should facilitate anticipatory driving and help users locate and maintain drivetrain states of maximum efficiency. Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Impact of a colorectal enhanced recovery program implementation on clinical outcomes and institutional costs: A prospective cohort study with retrospective control.

PubMed

Portinari, Mattia; Ascanelli, Simona; Targa, Simone; Dos Santos Valgode, Elisabete Maria; Bonvento, Barbara; Vagnoni, Emidia; Camerani, Stefano; Verri, Marco; Volta, Carlo Alberto; Feo, Carlo V

2018-05-01

The enhanced recovery program for perioperative care of the surgical patient reduces postoperative metabolic response and organ dysfunction, accelerating functional recovery. The aim of this study was to determine the impact on postoperative recovery and cost-effectiveness of implementing a colorectal enhanced recovery program in an Italian academic centre. A prospective series of consecutive patients (N = 100) undergoing elective colorectal resection completing a standardized enhanced recovery program in 2013-2015 (ERP group) was compared to patients (N = 100) operated at the same institution in 2010-2011 (Pre-ERP group) before introducing the program. The exclusion criteria were: >80 years old, ASA score of IV, a stage IV TNM, and diagnosis of inflammatory bowel disease. The primary outcome was hospital length of stay which was used as a proxy of functional recovery. Secondary outcomes included: postoperative complications, 30-day readmission and mortality, protocol adherence, nursing workload, cost-effectiveness, and factors predicting prolonged hospital stay. The ERP group patient satisfaction was also evaluated. Hospital stay was significantly reduced in the ERP versus the Pre-ERP group (4 versus 8 days) as well as nursing workload, with no increase in postoperative complications, 30-day readmission or mortality. ERP group protocol adherence (81%) and patient satisfaction were high. Conventional perioperative protocol was the only independent predictor of prolonged hospital stay. Total mean direct costs per patient were significantly higher in the Pre-ERP versus the ERP group (6796.76 versus 5339.05 euros). Implementing a colorectal enhanced recovery program is feasible, efficient for functional recovery and hospital stay reduction, safe, and cost-effective. High patient satisfaction and nursing workload reduction may also be expected, but high protocol adherence is necessary. Copyright © 2018 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

Study protocol for the FITR Heart Study: Feasibility, safety, adherence, and efficacy of high intensity interval training in a hospital-initiated rehabilitation program for coronary heart disease.

PubMed

Taylor, Jenna; Keating, Shelley E; Leveritt, Michael D; Holland, David J; Gomersall, Sjaan R; Coombes, Jeff S

2017-12-01

For decades, moderate intensity continuous training (MICT) has been the cornerstone of exercise prescription for cardiac rehabilitation (CR). High intensity interval training (HIIT) is now recognized in CR exercise guidelines as an appropriate and efficient modality for improving cardiorespiratory fitness, a strong predictor of mortality. However, the clinical application of HIIT in a real world CR setting, in terms of feasibility, safety, and long-term adherence, needs further investigation to address ongoing reservations. Furthermore, studies using objective measures of exercise intensity (such as heart rate; HR) have produced variable outcomes. Therefore we propose investigating the use of subjective measures (such as rating of perceived exertion (RPE)) for prescribing exercise intensity. One hundred adults with coronary artery disease (CAD) attending a hospital-initiated CR program will be randomized to 1) HIIT: 4 × 4 min high intensity intervals at 15-18 RPE interspersed with 3-min active recovery periods or 2) MICT: usual care exercise including 40 min continuous exercise at a moderate intensity corresponding to 11-13 RPE. Primary outcome is change in exercise capacity (peak VO 2 ) following 4 weeks of exercise training. Secondary outcome measures are: feasibility, safety, exercise adherence, body composition, vascular function, inflammatory markers, intrahepatic lipid, energy intake, and dietary behavior over 12-months; and visceral adipose tissue (VAT) following 12 weeks of exercise training. This study aims to address the ongoing concerns regarding the practicality and safety of HIIT in CR programs. We anticipate study findings will lead to the development of a standardized protocol to facilitate CR programs to incorporate HIIT as a standard exercise option for appropriate patients.

Twenty-six years of post-release monitoring of Florida manatees (Trichechus manatus latirostris): evaluation of a cooperative rehabilitation program

USGS Publications Warehouse

Adimey, Nicole M.; Ross, Monica; Hall, Madison; Reid, James P.; Barlas, Margie E.; Keith Diagne, Lucy W; Bonde, Robert K.

2016-01-01

The rescue, rehabilitation, and release of Florida manatees (Trichechus manatus latirostris) into the wild has occurred since 1974; however, a comprehensive evaluation of the outcomes of the releases has never been conducted. Herein, we examined data for 136 Florida manatees that were rehabilitated and released with telemetry tags between 1988 and 2013 to determine release outcome of each individual as either success (acclimation) or failure after at least 1 y. Ten predictor variables were statistically evaluated for potential relationships to release outcome. To assess the contribution of each predictor variable to release outcome, each variable was tested for significance in univariate analyses. Manatees born in captivity experienced poor success after release (14%), whereas the overall success of wild-born individuals was higher (72%). When compared with other variables in our dataset, number of days in captivity was the strongest predictor for determining success. Manatees rescued as calves and held in captivity for more than 5 y had a high likelihood of failure, while subadults and adults had a high likelihood of success, regardless of the amount of time spent in captivity. Ensuring the success of individual manatees after release is critical for evaluating the contribution of the manatee rehabilitation program to the growth of the wild population.

Predictors of Smoking among Saudi Dental Students in Jeddah.

PubMed

Mansour, Ameerah Y

2017-05-01

The objective of this study was to assess tobacco use, secondhand smoke exposure, knowledge of health risks, and smoking predictors among dental students attending King Abdulaziz University, Jeddah, Saudi Arabia. A cross-sectional study was conducted and 420 dental students were invited to participate. Binary logistic regression analyses assessed the predictors of smoking. A total of 336 dental students completed the questionnaires with 25% reporting current or previous tobacco use and 96% reporting secondhand smoke exposure. Nearly half of all smokers initiated smoking during the dental program. The logistic regression results revealed that being a male (OR = 7.1, p < .0001; 95%CI = 3.7-13.4) and having a smoker in the family (OR = 2.6, p = .005; 95%CI = 1.3-5.0) increased the likelihood of smoking. In contrast, knowledge of health risks decreased the likelihood of smoking (OR = 0.90, p = .014; 95%CI = 0.82-0.98). Despite possessing knowledge about the health risks of smoking, high numbers of dental students continue to smoke and were exposed to secondhand smoke. Sex and family influence were the main pro-smoking risk factors, whereas increased knowledge of health risks was a protective factor. Tobacco control programs to reduce and/or prevent tobacco use among future dentists are needed.

Community-Based Management of Child Malnutrition in Zambia: HIV/AIDS Infection and Other Risk Factors on Child Survival.

PubMed

Moramarco, Stefania; Amerio, Giulia; Ciarlantini, Clarice; Chipoma, Jean Kasengele; Simpungwe, Matilda Kakungu; Nielsen-Saines, Karin; Palombi, Leonardo; Buonomo, Ersilia

2016-07-01

(1) BACKGROUND: Supplementary feeding programs (SFPs) are effective in the community-based treatment of moderate acute malnutrition (MAM) and prevention of severe acute malnutrition (SAM); (2) METHODS: A retrospective study was conducted on a sample of 1266 Zambian malnourished children assisted from 2012 to 2014 in the Rainbow Project SFPs. Nutritional status was evaluated according to WHO/Unicef methodology. We performed univariate and multivariate Cox proportional risk regression to identify the main predictors of mortality. In addition, a time-to event analysis was performed to identify predictors of failure and time to cure events; (3) RESULTS: The analysis included 858 malnourished children (19 months ± 9.4; 49.9% males). Program outcomes met international standards with a better performance for MAM compared to SAM. Cox regression identified SAM (3.8; 2.1-6.8), HIV infection (3.1; 1.7-5.5), and WAZ <-3 (3.1; 1.6-5.7) as predictors of death. Time to event showed 80% of children recovered by SAM/MAM at 24 weeks. (4) CONCLUSIONS: Preventing deterioration of malnutrition, coupled to early detection of HIV/AIDS with adequate antiretroviral treatment, and extending the duration of feeding supplementation, could be crucial elements for ensuring full recovery and improve child survival in malnourished Zambian children.

Relationship between college success and employer competency ratings for graduates of a baccalaureate nursing program.

PubMed

Bolin, S E; Hogle, E L

1984-01-01

This expost facto correlational study sought to determine which measures of academic success in one class of BSN graduates predicted their competence as employees one year after graduation, as judged by their employers. The relationship between pre-entrance test scores, clinical experience grades, GPA, State Board Test Pool examination scores, and employer competency ratings were also determined. In keeping with the literature in fields other than nursing, the findings suggest that there may be little relationship between academic performance in a nursing program and subsequent job performance as a nurse, even though verbal ability may be predictive of success in school. While significant positive correlations were found between pre-entrance test data and final grade point averages, as well as pre-entrance test scores and State Board Test Pool examination scores, there was little evidence that pre-entrance test scores were predictive of nursing abilities. Isolated correlations were found between the clinical components of some nursing courses and specific nursing abilities. Using multiple regression analysis, no clinical course grade was found to be a significant predictor of the mean employer competency rating. Significant predictors were found for only four of the individual nursing abilities, with the clinical component of Leadership in Nursing being the most frequent and best predictor.

Breastfeeding performance in Iranian women.

PubMed

Faridvand, Fatemeh; Mirghafourvand, Mojgan; Mohammad-Alizadeh-Charandabi, Sakineh; Malakouti, Jamileh

2018-04-20

Studies have shown that breastfeeding has both short-term and long-term useful effects on mother's and newborn's health. This study was conducted with the aim of determining predictors of breastfeeding performance in women who were referred to health centres in Tabriz City, Iran, in 2014 to 2015. This cross-sectional study cluster-sampled 220 breastfeeding women with infants aged 4 to 6 months. The Breastfeeding Self-Efficacy Scale, the Iowa Infant Feeding Attitude Scale, the personal resource questionnaire-85, and a researcher-developed knowledge questionnaire were used to collect data. Multivariate linear regression model was used to determine predictors of breastfeeding performance. The results showed that participants' breastfeeding performance mean (SD) value was 3.6 (1.2) of 6. There were significant relationships between breastfeeding performance and breastfeeding self-efficacy (P = .033) but not between social support, knowledge, attitudes, and breastfeeding performance (P > .05). Breastfeeding self-efficacy, occupation, family income sufficiency, and living with the family were identified as predictors of breastfeeding performance. Given the relationship between breastfeeding self-efficacy and breastfeeding performance, strengthening mothers' self-efficacy should be considered, especially when compiling programs to promote breastfeeding. Increasing breastfeeding self-efficacy in women improves their breastfeeding performance: In developing programs to promote breastfeeding culture, women's self-efficacy should be considered. © 2018 John Wiley & Sons Australia, Ltd.

Patterns and Predictors of Primary Mental Health Service Use Following Bushfire and Flood Disasters.

PubMed

Reifels, Lennart; Bassilios, Bridget; Spittal, Matthew J; King, Kylie; Fletcher, Justine; Pirkis, Jane

2015-06-01

To examine patterns and predictors of primary mental health care service use following 2 major Australian natural disaster events. Utilizing data from a national minimum dataset, descriptive and regression analyses were conducted to identify levels and predictors of the use of the Access to Allied Psychological Services (ATAPS) program over a 2-year period following 2 major Australian bushfire and flood/cyclone disasters. The bushfire disaster resulted in significantly greater and more enduring ATAPS service volume, while service delivery for both disasters peaked in the third quarter. Consumers affected by bushfires (IRR 1.51, 95% CI 1.20-1.89), diagnosed with depression (IRR 2.57, 95% CI 1.60-4.14), anxiety (IRR 2.06, 95% CI 1.21-3.49), or both disorders (IRR 2.15, 95% CI 1.35-3.42) utilized treatment at higher rates. The substantial demand for primary mental health care services following major natural disasters can vary in magnitude and trajectory with disaster type. Disaster-specific ATAPS services provide a promising model to cater for this demand in primary care settings. Disaster type and need-based variables as drivers of ATAPS use intensity indicate an equitable level of service use in line with the program intention. Established service usage patterns can assist with estimating capacity requirements in similar disaster circumstances.

Cognitive behavioral therapy for compulsive buying behavior: Predictors of treatment outcome.

PubMed

Granero, R; Fernández-Aranda, F; Mestre-Bach, G; Steward, T; Baño, M; Agüera, Z; Mallorquí-Bagué, N; Aymamí, N; Gómez-Peña, M; Sancho, M; Sánchez, I; Menchón, J M; Martín-Romera, V; Jiménez-Murcia, S

2017-01-01

Compulsive buying behavior (CBB) is receiving increasing consideration in both consumer and psychiatric-epidemiological research, yet empirical evidence on treatment interventions is scarce and mostly from small homogeneous clinical samples. To estimate the short-term effectiveness of a standardized, individual cognitive behavioral therapy intervention (CBT) in a sample of n=97 treatment-seeking patients diagnosed with CBB, and to identify the most relevant predictors of therapy outcome. The intervention consisted of 12 individual CBT weekly sessions, lasting approximately 45minutes each. Data on patients' personality traits, psychopathology, sociodemographic factors, and compulsive buying behavior were used in our analysis. The risk (cumulative incidence) of poor adherence to the CBT program was 27.8%. The presence of relapses during the CBT program was 47.4% and the dropout rate was 46.4%. Significant predictors of poor therapy adherence were being male, high levels of depression and obsessive-compulsive symptoms, low anxiety levels, high persistence, high harm avoidance and low self-transcendence. Cognitive behavioral models show promise in treating CBB, however future interventions for CBB should be designed via a multidimensional approach in which patients' sex, comorbid symptom levels and the personality-trait profiles play a central role. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Outcomes of Stay Strong, Stay Healthy in community settings.

PubMed

Ball, Stephen; Gammon, Robin; Kelly, Patricia J; Cheng, An-Lin; Chertoff, Keyna; Kaume, Lydia; Abreu, Eduardo L; Brotto, Marco

2013-12-01

Loss of muscle strength, flexibility, and balance are strong predictors of falls in the elderly. The goal of this research was to investigate the effectiveness of a 10-week, strength-based exercise program delivered by Extension professionals. Matched pair t tests were used to compare differences in five measures of fitness collected from 808 participants (mean age = 65.4 years) at the start and finish of the exercise program. Following programming, participants significantly improved strength, flexibility, and balance. Results indicate that an evidence-based program can be translated into a community Extension program that is able to improve the fitness level of seniors.

Predictors of acceptance of a postpartum public health nurse home visit: findings from an Ontario survey.

PubMed

Sword, Wendy A; Krueger, Paul D; Watt, M Susan

2006-01-01

To determine 1) rates of offer and uptake of a home visit provided through Ontario's universal Hospital Stay and Postpartum Home Visiting Program, and 2) predictors of acceptance of a home visit. Women were eligible to participate if they had given birth vaginally to a live singleton infant, were being discharged with the infant to their care, were competent to give consent, and could communicate in one of the four study languages. A self-report questionnaire was used to collect data from 1,250 women recruited from five hospitals across the province; 890 (71.2%) women completed a structured telephone interview 4 weeks following discharge. Most women (81.4% to 97.8%) reported having received a telephone call from a public health nurse, although not necessarily within 48 hours of discharge. While the offer of a home visit reportedly was high across sites, there were statistically significant differences in rates of acceptance (40.8% to 76.2%). Important predictors of acceptance were first live birth, lower social support, lower maternal rating of services in labour and delivery, poorer maternal self-reported health, probable postpartum depression, lower maternal rating of services on the postpartum unit, and breastfeeding initiation. The home visiting component of the universal program is reaching most women through telephone follow-up. However, rates of acceptance of a home visit differed greatly across study sites. The findings suggest that it is women with specific problems or needs who are accepting a visit. Further research is necessary to guide the development of evidence-based programs and policies regarding postpartum nurse home visits.

Differentiating progress in a clinical group of fibromyalgia patients during and following a multicomponent treatment program.

PubMed

Van Den Houte, Maaike; Luyckx, Koen; Van Oudenhove, Lukas; Bogaerts, Katleen; Van Diest, Ilse; De Bie, Jozef; Van den Bergh, Omer

2017-07-01

Treatments including multiple nonpharmacological components have beneficial effects on the key symptoms of fibromyalgia, although effects are limited and often do not persist. In this study, we examined different patterns of clinical progress and the dynamic interplay between predictors and outcomes over time. Fibromyalgia patients (N=153; 135 women) followed a multidisciplinary group program spanning 12weeks, aimed at "regaining control over daily functioning". Anxiety, depression, pain coping and kinesiophobia were used as predictor variables. Outcome variables were pain severity, pain-related disability, physical functioning and functional interference. All variables were assessed at 3 moments: on the first and last day of treatment, and 12weeks after the last day of treatment. Overall treatment effects were analyzed using mixed model analyses. Latent class growth analysis identifying different treatment trajectory classes was used to investigate individual differences in treatment effects. Finally, cross-lagged structural equation models were used to investigate the dynamic interplay between predictors and outcomes over time. Only a fourth to a third of the total group showed improvement on the outcome variables. These patients had lower baseline anxiety, depression and kinesiophobia, and improved more on anxiety, depression and kinesiophobia. Physical well-being had a stronger effect on anxiety and depression than vice versa. Physical functioning predicted relative changes in kinesiophobia, while kinesiophobia predicted relative changes in pain-related disability. The results emphasize the importance of tailoring treatments to individual needs in order to improve overall effectiveness of treatment programs. Copyright © 2017. Published by Elsevier Inc.

Predictors of participation in prostate cancer screening at worksites.

PubMed

Weinrich, S P; Greiner, E; Reis-Starr, C; Yoon, S; Weinrich, M

1998-01-01

Unfortunately, African American men have a higher incidence of and a higher mortality rate for prostate cancer than White men but are less likely to participate in prostate cancer screening. This correlational survey research identifies predictors for participation in a free prostate cancer screening in 179 men, 64% of whom are African American. Each man was invited to see his personal physician for a free prostate cancer screening following a prostate cancer educational program given at his worksite. Forty-seven percent of the African American men went to their personal physician following the educational program and received a digital rectal examination (DRE) and a prostate specific antigen (PSA) screening. In the original cohort of educational program attendees, only 16% of the African Americans had obtained a DRE in the previous 12 months. However, 44% subsequently did participate in free DRE screening. Similarly, only 6% of the African American men had received a PSA screening in the previous 12 months, yet 42% obtained a PSA screening after the educational program, a sevenfold increase. Implications for allocating limited resources for education and screening to the high-risk group of African American men are discussed. This study's model of a prostate cancer educational program at worksites followed by attendees visiting their personal physician for screening could be replicated throughout the United States to increase African American men's participation in prostate cancer screening.

[Effectiveness of smoking cessation in group-based behavioral treatment in association to health status and motivation of participants--own research findings].

PubMed

Broszkiewicz, Marzenna; Drygas, Wojciech

2009-01-01

The efficacy and cost-effectiveness of behavioral treatments compare favorably with the pharmacotherapies and community-based interventions. Group-based behavioral programs have been scientifically proven as the effective smoking cessation intervention. Aim of the study was identifying predictors of the efficacy of smoking cessation in health factors: health status and motivation and doctor's advice. Program is a multicomponent group-based behavioral intervention with the elements recommended by the US Public Health Service as the most effective. 517 smokers were included into the program in the outpatient clinic setting in years 2001-2007. A point prevalence abstinence (PPA) was estimated by self-reported smoking cessation. Three homogeneous groups of patients according to their status health were established: participants with tobacco-related diseases n = 182, with psychiatric disorders n = 101 and healthy ones n = 150. 59.6% of participants stopped smoking during four-week program. Program was effective in smoking cessation both for sick and healthy participants. Motivational factors, among others health motivation did not distinguish for whole population as well as for participants with tobacco-related diseases. Lack of doctor's advice increased efficacy of smoking cessation both for the whole population and for group with tobacco-related diseases. Nor health status and motivation neither doctor's advice were predictors of behavioral group-based treatment for tobacco smokers.

Optimizing the physical conditioning of the NASCAR sprint cup pit crew athlete.

PubMed

Ferguson, David P; Davis, Adam M; Lightfoot, J Timothy

2015-03-01

Stock car racing is the largest spectator sport in the United States. As a result, National Association for Stock Car Automobile Racing (NASCAR) Sprint Cup teams have begun to invest in strength and conditioning programs for their pit crew athletes. However, there is limited knowledge regarding the physical characteristics of elite NASCAR pit crew athletes, how the NASCAR Sprint Cup season affects basic physiological parameters such as body composition, and what is the most appropriate physical training program that meets the needs of a pit crew athlete. We conducted 3 experiments involving Sprint Cup motorsport athletes to determine predictors of success at the elite level, seasonal physiological changes, and appropriate physical training programs. Our results showed that hamstring flexibility (p = 0.015) and the score on the 2-tire front run test (p = 0.012) were significant predictors of NASCAR Sprint Cup Pit Crew athlete performance. Additionally, during the off season, pit crew athletes lost lean body mass, which did not return until the middle of the season. Therefore, a strength and conditioning program was developed to optimize pit crew athlete performance throughout the season. Implementation of this strength and conditioning program in 1 NASCAR Sprint Cup team demonstrated that pit crew athletes were able to prevent lean body mass loss and have increased muscle power output from the start of the season to the end of the season.

Identification of fall predictors in the active elderly population from the routine medical records of general practitioners.

PubMed

Lastrucci, Vieri; Lorini, Chiara; Rinaldi, Giada; Bonaccorsi, Guglielmo

2018-03-01

Aim To evaluate the possibility of determining predictors of falls in the active community-dwelling elderly from the routine medical records of the general practitioners (GPs). Time constraints and competing demands in the clinical encounters frequently undermine fall-risk evaluation. In the context of proactive primary healthcare, quick, and efficient tools for a preliminary fall-risk assessment are needed in order to overcome these barriers. The study included 1220 subjects of 65 years of age or older. Data were extracted from the GPs' patient records. For each subject, the following variables were considered: age, gender, diseases, and pharmacotherapy. Univariate and multivariable analyses have been conducted to identify the independent predictors of falls. Findings The mean age of the study population was 77.8±8.7 years for women and 74.9±7.3 years for men. Of the sample, 11.6% had experienced one or more falls in the previous year. The risk of falling was found to increase significantly (P<0.05) with age (OR=1.03; 95% CI=1.01-1.05), generalized osteoarthritis (OR=2.01; 95% CI=1.23-3.30), tinnitus (OR=4.14; 95% CI=1.25-13.74), cognitive impairment (OR=4.12; 95% CI=2.18-7.80), and two or more co-existing diseases (OR=5.4; 95% CI=1.68-17.39). Results suggest that it is possible to identify patients at higher risk of falling by going through the current medical records, without adding extra workload on the health personnel. In the context of proactive primary healthcare, the analysis of fall predictors from routine medical records may allow the identification of which of the several known and hypothesized risk factors may be more relevant for developing quick and efficient tools for a preliminary fall-risk assessment.

Posttreatment drug use abstinence: does the majority program clientele matter?

PubMed

Duncan, Alexandra; Melnick, Gerald; Ahmed, Rashid; Furr-Holden, C Debra

2014-01-01

The current study examines differences in organizational characteristics and client posttreatment drug use abstinence in residential substance abuse treatment programs serving clients with high or low levels of legal coercion to participate in treatment. The findings show that low legal coercion programs have higher counselor caseloads (Z = 59, p < .05) than high coercion programs. Although the results showed that programs with a large proportion of African American clients (β = 14.26, p < .0001) and high legal coercion programs (β = 19.99, p < .05) predicted longer abstinence posttreatment, the final models suggest organizational factors are the key predictors of client posttreatment abstinence.

Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry.

PubMed

Rae, L S; Vankan, D M; Rand, J S; Flickinger, E A; Ward, L C

2016-06-01

Thirty-five healthy, neutered, mixed breed dogs were used to determine the ability of multifrequency bioelectrical impedance analysis (MFBIA) to predict accurately fat-free mass (FFM) in dogs using dual energy X-ray absorptiometry (DXA)-measured FFM as reference. A second aim was to compare MFBIA predictions with morphometric predictions. MFBIA-based predictors provided an accurate measure of FFM, within 1.5% when compared to DXA-derived FFM, in normal weight dogs. FFM estimates were most highly correlated with DXA-measured FFM when the prediction equation included resistance quotient, bodyweight, and body condition score. At the population level, the inclusion of impedance as a predictor variable did not add substantially to the predictive power achieved with morphometric variables alone; in individual dogs, impedance predictors were more valuable than morphometric predictors. These results indicate that, following further validation, MFBIA could provide a useful tool in clinical practice to objectively measure FFM in canine patients and help improve compliance with prevention and treatment programs for obesity in dogs. Copyright © 2016. Published by Elsevier Ltd.

Predictors of micro-costing components in liver transplantation

PubMed Central

de Paiva Haddad, Luciana Bertocco; Ducatti, Liliana; Mendes, Luana Regina Baratelli Carelli; Andraus, Wellington; D’Albuquerque, Luiz Augusto Carneiro

2017-01-01

OBJECTIVES: Although liver transplantation procedures are common and highly expensive, their cost structure is still poorly understood. This study aimed to develop models of micro-costs among patients undergoing liver transplantation procedures while comparing the role of individual clinical predictors using tree regression models. METHODS: We prospectively collected micro-cost data from patients undergoing liver transplantation in a tertiary academic center. Data collection was conducted using an Intranet registry integrated into the institution’s database for the storing of financial and clinical data for transplantation cases. RESULTS: A total of 278 patients were included and accounted for 300 procedures. When evaluating specific costs for the operating room, intensive care unit and ward, we found that in all of the sectors but the ward, human resources were responsible for the highest costs. High cost supplies were important drivers for the operating room, whereas drugs were among the top four drivers for all sectors. When evaluating the predictors of total cost, a MELD score greater than 30 was the most important predictor of high cost, followed by a Donor Risk Index greater than 1.8. CONCLUSION: By focusing on the highest cost drivers and predictors, hospitals can initiate programs to reduce cost while maintaining high quality care standards. PMID:28658432

Prevalence, predictors and triggers of migraine headache among medical students and interns in King Abdulaziz University, Jeddah, Saudi Arabia.

PubMed

Ibrahim, Nahla Khamis; Alotaibi, Afnan Khalid; Alhazmi, Abrar Mansour; Alshehri, Rawan Zaher; Saimaldaher, Rawan Nabeel; Murad, Maradi Abdulkader

2017-01-01

To determine the prevalence, predictors, triggers and educational outcome of migraine among medical students and interns in King Abdulaziz University, Jeddah, Saudi Arabia. A cross-sectional study was completed among 566 participants selected through a multistage stratified random sample method. A validated, confidential, self-administered data collection sheet was utilized. It contained ID Migraine test™, Numeric Pain Rating Scale (NPRS). Questions about possible predictors, triggers and impact of migraine were asked. Descriptive, inferential statistics and multiple logistic regression analysis were conducted. More than one-half (54.9%) of the participants had ≥ 2 headache attacks during the three months preceded the study. The prevalence of migraine was 26.3%, and 41.6% of the cases suffered from severe pain. The main migraine predictors were Functional Gastrointestinal Disorders (FGIDs), family history of migraine, female gender, and enrollment in the second academic year. Exam stress and sleep disturbances were the commonest triggers. The majority of the participants reported that their educational performance and ability to attend sessions were affected during migraine attacks. A relatively high prevalence of migraine was seen among our participants. FGIDs, gender and academic year were the predictors. Screening and management of migraine among medical students are required. Conduction of relaxation programs and stress management courses are also recommended.

77 FR 54839 - Energy Efficiency and Conservation Loan Program

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-06

... CFR Parts 1710, 1717, 1721, 1724, and 1730 RIN 0572-AC19 Energy Efficiency and Conservation Loan..., proposing policies and procedures for loan and guarantee financial assistance in support of energy efficiency programs (EE Programs) sponsored and implemented by electric utilities for the benefit of rural...

"Trauma, stress, and self-care in clinical training: Predictors of burnout, decline in health status, secondary traumatic stress symptoms, and compassion satisfaction": Correction to Butler, Carello, and Maguin (2016).

PubMed

2017-07-01

Reports an error in "Trauma, stress, and self-care in clinical training: Predictors of burnout, decline in health status, secondary traumatic stress symptoms, and compassion satisfaction" by Lisa D. Butler, Janice Carello and Eugene Maguin ( Psychological Trauma: Theory, Research, Practice, and Policy , Advanced Online Publication, Sep 12, 2016, np). In the article, there was an error in Table 4 of the Results. The Outcomes and Predictors columns were not clearly categorized from one another. The corrected table is present in the erratum. (The following abstract of the original article appeared in record 2016-43766-001.) Objective: Courtois and Gold (2009) have called for the inclusion of trauma in the curriculum for all mental health training programs. The present study investigated the impact of trauma-related content, stress, and self-care (SC) on trainees in such a program. Method: The study examined potential risk factors (trauma exposures in training [being faced with or reacting to trauma-related field work experiences and course content] and perceptions of stress in field and coursework) and protective factors (SC effort and importance) in relation to burnout (BO), health status (HS), secondary traumatic stress symptoms (STSS), and compassion satisfaction (CS) among 195 students in a graduate social work training program. Results: All students reported trauma exposures in their field placements and/or coursework, including retraumatization experiences that were associated with higher STSS and BO. Field stress and SC effort were both consistent predictors across outcomes. Higher field stress levels predicted higher BO and STSS, a greater likelihood of decline in HS, and lower CS. Lower SC effort was also associated with higher BO and STSS, and a greater likelihood of decline in HS, while higher SC effort predicted higher CS. Older students, those with traumatized field clients, and those whose field work addressed trauma, also reported higher CS. Conclusions: These findings suggest that clinical training involving trauma content can be both rewarding and stressful, and may evoke distress in some trainees. Given that learning about and working with trauma are essential to adequate clinical training, the authors suggest adopting a trauma-informed approach within clinical training programs. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Violence exposure and teen dating violence among African American youth.

PubMed

Black, Beverly M; Chido, Lisa M; Preble, Kathleen M; Weisz, Arlene N; Yoon, Jina S; Delaney-Black, Virginia; Kernsmith, Poco; Lewandowski, Linda

2015-07-01

This study examines the relationships between exposure to violence in the community, school, and family with dating violence attitudes and behaviors among 175 urban African American youth. Age, gender, state support and experiences with neglect, school violence, and community violence were the most significant predictors of acceptance of dating violence. Experiences with community violence and age were important predictors of dating violence perpetration and victimization. Findings highlight the importance of planning prevention programs that address variables affecting attitudes and behaviors of high-risk youth who have already been exposed to multiple types of violence. © The Author(s) 2014.

Energy efficiency in nonprofit agencies: Creating effective program models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brown, M.A.; Prindle, B.; Scherr, M.I.

Nonprofit agencies are a critical component of the health and human services system in the US. It has been clearly demonstrated by programs that offer energy efficiency services to nonprofits that, with minimal investment, they can educe their energy consumption by ten to thirty percent. This energy conservation potential motivated the Department of Energy and Oak Ridge National Laboratory to conceive a project to help states develop energy efficiency programs for nonprofits. The purpose of the project was two-fold: (1) to analyze existing programs to determine which design and delivery mechanisms are particularly effective, and (2) to create model programsmore » for states to follow in tailoring their own plans for helping nonprofits with energy efficiency programs. Twelve existing programs were reviewed, and three model programs were devised and put into operation. The model programs provide various forms of financial assistance to nonprofits and serve as a source of information on energy efficiency as well. After examining the results from the model programs (which are still on-going) and from the existing programs, several replicability factors'' were developed for use in the implementation of programs by other states. These factors -- some concrete and practical, others more generalized -- serve as guidelines for states devising program based on their own particular needs and resources.« less

TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM.

PubMed

Hu, Jun; Han, Ke; Li, Yang; Yang, Jing-Yu; Shen, Hong-Bin; Yu, Dong-Jun

2016-11-01

The accurate prediction of whether a protein will crystallize plays a crucial role in improving the success rate of protein crystallization projects. A common critical problem in the development of machine-learning-based protein crystallization predictors is how to effectively utilize protein features extracted from different views. In this study, we aimed to improve the efficiency of fusing multi-view protein features by proposing a new two-layered SVM (2L-SVM) which switches the feature-level fusion problem to a decision-level fusion problem: the SVMs in the 1st layer of the 2L-SVM are trained on each of the multi-view feature sets; then, the outputs of the 1st layer SVMs, which are the "intermediate" decisions made based on the respective feature sets, are further ensembled by a 2nd layer SVM. Based on the proposed 2L-SVM, we implemented a sequence-based protein crystallization predictor called TargetCrys. Experimental results on several benchmark datasets demonstrated the efficacy of the proposed 2L-SVM for fusing multi-view features. We also compared TargetCrys with existing sequence-based protein crystallization predictors and demonstrated that the proposed TargetCrys outperformed most of the existing predictors and is competitive with the state-of-the-art predictors. The TargetCrys webserver and datasets used in this study are freely available for academic use at: http://csbio.njust.edu.cn/bioinf/TargetCrys .

Work life and mental wellbeing of single and non-single working mothers in Scandinavia.

PubMed

Bull, Torill; Mittelmark, Maurice B

2009-08-01

This study examined levels and predictors of mental wellbeing in Scandinavian working single and non-single mothers, with a special focus on financial stress, job characteristics and work-family conflict. The European Social Survey Round 2 (2005) provided questionnaire data from 73 single and 432 non-single working mothers in Denmark, Sweden and Norway. Respondents answered questions about the outcome variables life satisfaction, happiness, and positive affect, and predictor variables financial stress, job characteristics, work-family conflict, and social support. Hierarchical multiple regression was used to assess the relationships between predictor variables and mental wellbeing outcomes. Single working mothers scored significantly lower on life satisfaction and happiness, but not on positive affect, than did non-single mothers. Financial stress was higher in the single mother group. There were no significant differences in levels of enriching or stressful job characteristics, or in levels of social support. While financial stress and work-family conflict were important predictors in both groups, the relationship between financial stress and wellbeing was far stronger in the single mother group. Confidant support was a significant predictor only in the single mother group, and social participation only in the non-single mothers group. This study suggests that the Scandinavian welfare democracies have not yet been successful in relieving the financial pressure experienced by single working mothers. Development of efficient financial support systems should be prioritized. Ways to reduce work-family conflict in both single and non-single mothers in Scandinavia should also be given increased attention.

State-by-state variations in cardiac rehabilitation participation are associated with educational attainment, income, and program availability.

PubMed

Gaalema, Diann E; Higgins, Stephen T; Shepard, Donald S; Suaya, Jose A; Savage, Patrick D; Ades, Philip A

2014-01-01

Wide geographic variations in cardiac rehabilitation (CR) participation in the United States have been demonstrated but are not well understood. Socioeconomic factors such as educational attainment are robust predictors of many health-related behaviors, including smoking, obesity, physical activity, substance abuse, and cardiovascular disease. We investigated potential associations between state-level differences in educational attainment, other socioeconomic factors, CR program availability, and variations in CR participation. A retrospective database analysis was conducted using data from the US Census Bureau, the Centers for Disease Control and Prevention, and the 1997 Medicare database. The outcome of interest was CR participation rates by state, and predictors included state-level high school (HS) graduation rates (in 2001 and 1970), median household income, smoking rates, density of CR program (programs per square mile and per state population), sex and race ratios, and median age. The relationship between HS graduation rates and CR participation by state was significant for both 2001 and 1970 (r = 0.64 and 0.44, respectively, P < .01). Adding the density of CR programs (per population) and income contributed significantly with a cumulative r value of 0.74 and 0.71 for the models using 2001 and 1970, respectively (Ps < .01). The amount of variance accounted for by each of the 3 variables differed between the 2000 and 1970 graduation rates, but both models were unaltered by including additional variables. State-level HS graduation rates, CR programs expressed as programs per population, and median income were strongly associated with geographic variations in CR participation rates.

Analysis of Practice Settings for Craniofacial Surgery Fellowship Graduates in North America.

PubMed

Silvestre, Jason; Runyan, Christopher; Taylor, Jesse A

In North America, the number of craniofacial surgery fellowship graduates is increasing, yet an analysis of practice settings upon graduation is lacking. We characterize the practice types of recent graduates of craniofacial fellowship programs in the United States and Canada. A 6-year cohort of craniofacial fellows in the United States and Canada (2010-2016) were obtained from craniofacial programs recognized by the American Society of Craniofacial Surgery. Practice setting was determined at 1 and 3 years of postgraduation, and predictors of practice setting were determined. A total of 175 craniofacial surgeons were trained at 35 fellowship programs. At 1 year of postgraduation, 33.6% had an academic craniofacial position and 27.1% were in private practice (p = 0.361). A minority of graduates pursued additional fellowships (16.4%), nonacademic craniofacial positions (10.0%), academic noncraniofacial positions (5.7%), and international practices (7.1%). At 3 years of postgraduation, the percentage of graduates in academic craniofacial positions was unchanged (34.5% vs 33.6%, p = 0.790). The strongest predictors of future academic craniofacial practice were completing plastic surgery residency at a program with a craniofacial fellowship program (odds ratio = 6.78, p < 0.001) and completing an academic craniofacial fellowship program (odds ratio = 4.48, p = 0.020). A minority of craniofacial fellowship graduates practice academic craniofacial surgery. A strong academic craniofacial surgery background during residency and fellowship is associated with a future career in academic craniofacial surgery. These data may assist trainees choose training programs that align with career goals and educators select future academic surgeons. Copyright © 2017. Published by Elsevier Inc.

Factors Influencing Fluid Milk Waste in a Breakfast in the Classroom School Breakfast Program.

PubMed

Blondin, Stacy A; Goldberg, Jeanne P; Cash, Sean B; Griffin, Timothy S; Economos, Christina D

2018-04-01

To determine predictors of fluid milk waste in a Breakfast in the Classroom School Breakfast Program. Cross-sectional with 3 repeated measures/classroom. Elementary schools in a medium-sized, low-income, urban school district. Twenty third- through fourth-grade classrooms across 6 schools. Dependent variables include percentage of total and served milk wasted. Independent variables included observed daily menu offerings, program factors, and teacher and student behavior. Descriptive statistics were used to characterize variables across classrooms and schools. Multilevel mixed-effects models were used to test associations between predictors and outcomes of interest. P ≤ .05 was considered statistically significant. Total milk waste increased 12% when juice was offered and 3% for each additional carton of unserved milk. Teacher encouragement to take and/or consume breakfast was associated with a 5% and 9% increase in total and served milk waste, respectively. When students were engaged in other activities in addition to eating breakfast, total milk waste decreased 10%. Beverage offerings were predictive of greater total milk waste. Teacher and student behavior also appeared to influence milk consumption. Findings suggest that specific changes to School Breakfast Program implementation policies and practices could have an important role in waste mitigation. Copyright © 2018 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

78 FR 34089 - Revision of a Currently Approved Information Collection for the Energy Efficiency and...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-06

... Approved Information Collection for the Energy Efficiency and Conservation Block Grant Program Status... guidance concerning the Energy Efficiency and Conservation Block Grant (EECBG) Program is available for... Conservation Block Grant (EECBG) Program Status Report''; (3) Type of Review: Revision of currently approved...

Organizational determinants of efficiency and effectiveness in mental health partial care programs.

PubMed Central

Schinnar, A P; Kamis-Gould, E; Delucia, N; Rothbard, A B

1990-01-01

The use of partial care as a treatment modality for mentally ill patients, particularly the chronically mentally ill, has greatly increased. However, research into what constitutes a "good" program has been scant. This article reports on an evaluation study of staff productivity, cost efficiency, and service effectiveness of adult partial care programs carried out in New Jersey in fiscal year 1984/1985. Five program performance indexes are developed based on comparisons of multiple measures of resources, service activities, and client outcomes. These are used to test various hypotheses regarding the effect of organizational and fiscal variables on partial care program efficiency and effectiveness. The four issues explored are: auspices, organizational complexity, service mix, and fiscal control by the state. These were found to explain about half of the variance in program performance. In addition, partial care programs demonstrating midlevel performance with regard to productivity and efficiency were observed to be the most effective, implying a possible optimal level of efficiency at which effectiveness is maximized. PMID:2113046

Community Level Offset of Rain Use- and Transpiration Efficiency for a Heavily Grazed Ecosystem in Inner Mongolia Grassland

PubMed Central

Gao, Ying Z.; Giese, Marcus; Gao, Qiang; Brueck, Holger; Sheng, Lian X.; Yang, Hai J.

2013-01-01

Water use efficiency (WUE) is a key indicator to assess ecosystem adaptation to water stress. Rain use efficiency (RUE) is usually used as a proxy for WUE due to lack of transpiration data. Furthermore, RUE based on aboveground primary productivity (RUEANPP) is used to evaluate whole plant water use because root production data is often missing as well. However, it is controversial as to whether RUE is a reliable parameter to elucidate transpiration efficiency (TE), and whether RUEANPP is a suitable proxy for RUE of the whole plant basis. The experiment was conducted at three differently managed sites in the Inner Mongolia steppe: a site fenced since 1979 (UG79), a winter grazing site (WG) and a heavily grazed site (HG). Site HG had consistent lowest RUEANPP and RUE based on total net primary productivity (RUENPP). RUEANPP is a relatively good proxy at sites UG79 and WG, but less reliable for site HG. Similarly, RUEANPP is good predictor of transpiration efficiency based on aboveground net primary productivity (TEANPP) at sites UG79 and WG but not for site HG. However, if total net primary productivity is considered, RUENPP is good predictor of transpiration efficiency based on total net primary productivity (TENPP) for all sites. Although our measurements indicate decreased plant transpiration and consequentially decreasing RUE under heavy grazing, productivity was relatively compensated for with a higher TE. This offset between RUE and TE was even enhanced under water limited conditions and more evident when belowground net primary productivity (BNNP) was included. These findings suggest that BNPP should be considered when studies fucus on WUE of more intensively used grasslands. The consideration of the whole plant perspective and “real” WUE would partially revise our picture of system performance and therefore might affect the discussion on the C-sequestration and resilience potential of ecosystems. PMID:24058632

Community level offset of rain use- and transpiration efficiency for a heavily grazed ecosystem in inner Mongolia grassland.

PubMed

Gao, Ying Z; Giese, Marcus; Gao, Qiang; Brueck, Holger; Sheng, Lian X; Yang, Hai J

2013-01-01

Water use efficiency (WUE) is a key indicator to assess ecosystem adaptation to water stress. Rain use efficiency (RUE) is usually used as a proxy for WUE due to lack of transpiration data. Furthermore, RUE based on aboveground primary productivity (RUEANPP) is used to evaluate whole plant water use because root production data is often missing as well. However, it is controversial as to whether RUE is a reliable parameter to elucidate transpiration efficiency (TE), and whether RUEANPP is a suitable proxy for RUE of the whole plant basis. The experiment was conducted at three differently managed sites in the Inner Mongolia steppe: a site fenced since 1979 (UG79), a winter grazing site (WG) and a heavily grazed site (HG). Site HG had consistent lowest RUEANPP and RUE based on total net primary productivity (RUENPP). RUEANPP is a relatively good proxy at sites UG79 and WG, but less reliable for site HG. Similarly, RUEANPP is good predictor of transpiration efficiency based on aboveground net primary productivity (TEANPP) at sites UG79 and WG but not for site HG. However, if total net primary productivity is considered, RUENPP is good predictor of transpiration efficiency based on total net primary productivity (TENPP) for all sites. Although our measurements indicate decreased plant transpiration and consequentially decreasing RUE under heavy grazing, productivity was relatively compensated for with a higher TE. This offset between RUE and TE was even enhanced under water limited conditions and more evident when belowground net primary productivity (BNNP) was included. These findings suggest that BNPP should be considered when studies fucus on WUE of more intensively used grasslands. The consideration of the whole plant perspective and "real" WUE would partially revise our picture of system performance and therefore might affect the discussion on the C-sequestration and resilience potential of ecosystems.

What deters nurses from participating in web-based graduate nursing programs?: A cross-sectional survey research study.

PubMed

Carpenter, Suzanne H

2016-01-01

A graduate degree is required of nursing faculty in America. Because of the nursing faculty shortage, web-based graduate nursing programs are being offered to encourage nurses to return to school. The identification of deterrents to participating in these programs is an important step in increasing enrollment. To identify deterrents to participation in web-based graduate nursing programs. Descriptive survey research. Louisiana Two hundred and eighty-one registered nurse members of the Louisiana Nurses' Association. The 54-item four-point Likert-type interval scale Deterrents to Participation in Web-Based Graduate Nursing Programs Survey Instrument was used. Data were collected over 8weeks using SurveyMonkey.com to administer the web survey tool to all members of the Louisiana State Nurses' Association. A factor analysis revealed a three-factor solution that explained 55.436% of the total variance in deterrents to participation in web-based graduate nursing programs. The factors were labeled "concerns about quality, cost, and time," "concerns about access to resources: technological and personal," and "concerns about electronic mediated communication." Multiple regression analysis revealed an overall model of three predictors of deterrents to participation in web-based graduate nursing programs: no computer literacy, annual household income between 20,000 and 50,000 dollars, and having the current educational status of graduating from a diploma RN program. This model accounted for 21% of the variance in the deterrents to participation scores. Since these three significant predictors of deterrents to participation in web-based graduate nursing programs were identified, web-based nursing graduate program administrators might consider an outreach to RN diploma graduates in an effort to make them aware of available technology support programs to foster participation. Scholarships for lower income nursing students are recommended, and programs to support computer literacy within the nursing community should be considered. Copyright © 2015 Elsevier Ltd. All rights reserved.

Energy Efficiency Finance Programs: Use Case Analysis to Define Data Needs and Guidelines

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thompson, Peter; Larsen, Peter; Kramer, Chris

There are over 200 energy efficiency loan programs—across 49 U.S. states—administered by utilities, state/local government agencies, or private lenders.1 This distributed model has led to significant variation in program design and implementation practices including how data is collected and used. The challenge of consolidating and aggregating data across independently administered programs has been illustrated by a recent pilot of an open source database for energy efficiency financing program data. This project was led by the Environmental Defense Fund (EDF), the Investor Confidence Project, the Clean Energy Finance Center (CEFC), and the University of Chicago. This partnership discussed data collection practicesmore » with a number of existing energy efficiency loan programs and identified four programs that were suitable and willing to participate in the pilot database (Diamond 2014).2 The partnership collected information related to ~12,000 loans with an aggregate value of ~$100M across the four programs. Of the 95 data fields collected across the four programs, 30 fields were common between two or more programs and only seven data fields were common across all programs. The results of that pilot study illustrate the inconsistencies in current data definition and collection practices among energy efficiency finance programs and may contribute to certain barriers.« less

Does decentralization influence efficiency of health units? A study of opinion and perception of health workers in Odisha.

PubMed

Panda, Bhuputra; Thakur, Harshad P; Zodpey, Sanjay P

2016-10-31

Health systems in low and middle income countries are struggling to improve efficiency in the functioning of health units of which workforce is one of the most critical building blocks. In India, Rogi Kalyan Samiti (RKS) was established at every health unit as institutions of local decision making in order to improve productive efficiency and quality. Measuring efficiency of health units is a complex task. This study aimed at assessing the perception (opinion and satisfaction) of health workers about influence of RKS on improving efficiency of peripheral decision making health units (DMHU); examining differences between priority and non-priority set-ups; identifying predictors of satisfaction at work; and discussing suggestions to improve performance. Following a cross-sectional, comparative study design, 130 health workers from 30 institutions were selected through a multi-stage stratified random sampling. A semi-structured questionnaire was administered to assess perception and opinion of health workers about influence of RKS on efficiency of decision making at local level, motivation and performance of staff, and availability of funds; improvement of quality of services, and coordination among co-workers; and participation of community in local decision making. Three districts with highest infant mortality rate (IMR), one each, from 3 zones of Odisha and 3 with lowest IMR were selected on the basis of IMR estimates of 2011. The former constituted priority districts (PD) and the latter, non-priority districts (NPD). Composite scores were developed and compared between PD and NPD. Adjusted linear regression was conducted to identify predictors of satisfaction at work. A majority of respondents felt that RKS was efficient in decision making that resulted in improvement of all critical parameters of health service delivery, including quality; this was significantly higher in PD. Further, higher proportion of respondents from PD was highly satisfied with the current set of provisions and manners of functioning of the sample health units. Active community engagement, participation of elected representatives, selection of a pro-active Chairman, and training to RKS members were suggested as the immediate priority action points for the state government. Mean scores differed significantly between PD and NPD with regard to: influence of RKS on individual-centric, organizational-centric and patient-centric performance, and the responsibilities to be entrusted with RKS. Absenteeism was strongly associated with satisfaction and local self-governance. Work-related factors, systemic factors, local accountability and patients' involvement were found to be the key predictors of satisfaction of health workforce. The understanding on quality improvement strategies was found to be very poor among the health workers. Tailor-made capacity building measures at district and sub-district levels could be critical to equip the peripheral health units to achieve the universal health coverage goals. Work environment, systemic factors and accountability need to be addressed on priority for retention of health workforce. The hypothesized link between efficient local decision making, perception of health workers about efficiency of health units and the health status of population needs further investigation.

A program for the calculation of paraboloidal-dish solar thermal power plant performance

NASA Technical Reports Server (NTRS)

Bowyer, J. M., Jr.

1985-01-01

A program capable of calculating the design-point and quasi-steady-state annual performance of a paraboloidal-concentrator solar thermal power plant without energy storage was written for a programmable calculator equipped with suitable printer. The power plant may be located at any site for which a histogram of annual direct normal insolation is available. Inputs required by the program are aperture area and the design and annual efficiencies of the concentrator; the intercept factor and apparent efficiency of the power conversion subsystem and a polynomial representation of its normalized part-load efficiency; the efficiency of the electrical generator or alternator; the efficiency of the electric power conditioning and transport subsystem; and the fractional parasitic loses for the plant. Losses to auxiliaries associated with each individual module are to be deducted when the power conversion subsystem efficiencies are calculated. Outputs provided by the program are the system design efficiency, the annualized receiver efficiency, the annualized power conversion subsystem efficiency, total annual direct normal insolation received per unit area of concentrator aperture, and the system annual efficiency.

Safe syringe disposal is related to safe syringe access among HIV-positive injection drug users.

PubMed

Coffin, Phillip O; Latka, Mary H; Latkin, Carl; Wu, Yingfeng; Purcell, David W; Metsch, Lisa; Gomez, Cynthia; Gourevitch, Marc N

2007-09-01

We evaluated the effect of syringe acquisition on syringe disposal among HIV-positive injection drug users (IDUs) in Baltimore, New York City, and San Francisco (N = 680; mean age 42 years, 62% male, 59% African-American, 21% Hispanic, 12% White). Independent predictors of safe disposal were acquiring syringes through a safe source and ever visiting a syringe exchange program. Weaker predictors included living in San Francisco, living in the area longer, less frequent binge drinking, injecting with an HIV+ partner, peer norms supporting safe injection, and self-empowerment. Independent predictors of safe "handling"-both acquiring and disposing of syringes safely-also included being from New York and being older. HIV-positive IDUs who obtain syringes from a safe source are more likely to safely dispose; peer norms contribute to both acquisition and disposal. Interventions to improve disposal should include expanding sites of safe syringe acquisition while enhancing disposal messages, alternatives, and convenience.

Predicting Handwriting Legibility in Taiwanese Elementary School Children.

PubMed

Lee, Tzu-I; Howe, Tsu-Hsin; Chen, Hao-Ling; Wang, Tien-Ni

This study investigates handwriting characteristics and potential predictors of handwriting legibility among typically developing elementary school children in Taiwan. Predictors of handwriting legibility included visual-motor integration (VMI), visual perception (VP), eye-hand coordination (EHC), and biomechanical characteristics of handwriting. A total of 118 children were recruited from an elementary school in Taipei, Taiwan. A computerized program then assessed their handwriting legibility. The biomechanics of handwriting were assessed using a digitizing writing tablet. The children's VMI, VP, and EHC were assessed using the Beery-Buktenica Developmental Test of Visual-Motor Integration. Results indicated that predictive factors of handwriting legibility varied in different age groups. VMI predicted handwriting legibility for first-grade students, and EHC and stroke force predicted handwriting legibility for second-grade students. Kinematic factors such as stroke velocity were the only predictor for children in fifth and sixth grades. Copyright © 2016 by the American Occupational Therapy Association, Inc.

[Predictors of employment intention for mentally disabled persons].

PubMed

Han, Sang-Sook; Han, Jeong Hye; Yun, Eun Kyoung

2008-08-01

This study was conducted to determine the predictors of employment intention for mentally disabled persons. Mentally disabled persons who had participated in rehabilitation programs in one of 16 mental health centers and 9 community rehabilitation centers located in Seoul and Kyunggi province were recruited for this study. A random sampling method was used and 414 respondents were used for final analysis. Data was analyzed by Pearson's correlation, and stepwise multiple regression using the SPSS Win 14.0. The predictors influencing employment intention of the mentally disabled person were observed as employment desire (beta=.48), guardian's expectation (beta=.26), professional's support (beta=.23), financial management (beta=.10), eating habits (beta=.07), and quality of life (beta=-.01). Six factors explained 61.1% of employment intention of mentally disabled persons. The employment intention of a mentally disabled person was influenced by employment desire, diet self-efficacy, guardian's expectation, professional's support, quality of life, financial management and eating habits.

Psychological competence: the key to leader empowering behaviors.

PubMed

Havaei, Farinaz; Dahinten, V Susan; MacPhee, Maura

2014-05-01

The aim of this study was to examine the effects of specific cognitions or aspects of psychological empowerment on 5 major aspects of leader empowering behaviors. Leader empowering behaviors are linked to important employee outcomes such as work effectiveness. Psychologically empowered leaders are known to use more empowering behaviors in their practice. There is limited research examining what aspects of psychological empowerment are most associated with different aspects of leader empowering behaviors. Data from a sample of 103 frontline and midlevel nurse leaders were analyzed after they participated in a leadership development program. Psychological competence was the strongest predictor of the total score for leader empowering behaviors and 4 of 5 subscale scores, and meaning was the 2nd strongest predictor. Autonomy was not a significant predictor. Psychological empowerment, particularly in the form of psychological competence, is an important leader characteristic and should be a focus of leadership development strategies.

The nature nursing quality of work life: an integrative review of literature.

PubMed

Vagharseyyedin, Seyyed Abolfazl; Vanaki, Zohreh; Mohammadi, Eesa

2011-10-01

Studies that have examined the nursing quality of work life (QWL) have not been systematically reviewed in the recent years. Thus, the current study was aimed to identify the predictors of the nurses' QWL and determine the definitions of QWL for nurses. The authors used an integrative review of the literature and identified six themes as the major predictors of the nurses' QWL: leadership and management style/decision-making latitude, shift working, salary and fringe benefits, relationship with colleagues, demographic characteristics, and workload/job strain. Although different researchers had varied perspectives on the QWL in nursing, most viewed QWL as a subjective phenomenon that is influenced by personal feeling and perceptions. A closer review of definitions of QWL indicated that some authors considered QWL as an "outcome," whereas others saw it as a "process." Further research needs to be conducted to determine the relative importance of QWL predictors, and implementation programs to improve the QWL.

Hand Movements and Braille Reading Efficiency: Data from the Alphabetic Braille and Contracted Braille Study

ERIC Educational Resources Information Center

Wright, Tessa; Wormsley, Diane P.; Kamei-Hannan, Cheryl

2009-01-01

Using a subset of data from the Alphabetic Braille and Contracted Braille Study, researchers analyzed the patterns and characteristics of hand movements as predictors of reading performance. Statistically significant differences were found between one- and two-handed readers and between patterns of hand movements and reading rates. (Contains 6…

Learner Characteristics Predict Performance and Confidence in E-Learning: An Analysis of User Behavior and Self-Evaluation

ERIC Educational Resources Information Center

Jeske, Debora; Roßnagell, Christian Stamov; Backhaus, Joy

2014-01-01

We examined the role of learner characteristics as predictors of four aspects of e-learning performance, including knowledge test performance, learning confidence, learning efficiency, and navigational effectiveness. We used both self reports and log file records to compute the relevant statistics. Regression analyses showed that both need for…

Curriculum-Based Measurement as a Predictor of Performance on a State Assessment: Diagnostic Efficiency of Local Norms

ERIC Educational Resources Information Center

Sandberg Patton, Karen L.; Reschly, Amy L.; Appleton, James

2014-01-01

With the concurrent emphasis on accountability, prevention, and early intervention, curriculum-based measurement of reading (R-CBM) is playing an increasingly important role in the educational process. This study investigated the differences in diagnostic accuracy and utility between commercial norms and local norms when making high-stakes, local…

Modern classification and outcome predictors of surgery in patients with brain arteriovenous malformations.

PubMed

Tayebi Meybodi, Ali; Lawton, Michael T

2018-02-23

Brain arteriovenous malformations (bAVM) are challenging lesions. Part of this challenge stems from the infinite diversity of these lesions regarding shape, location, anatomy, and physiology. This diversity has called on a variety of treatment modalities for these lesions, of which microsurgical resection prevails as the mainstay of treatment. As such, outcome prediction and managing strategy mainly rely on unraveling the nature of these complex tangles and ways each lesion responds to various therapeutic modalities. This strategy needs the ability to decipher each lesion through accurate and efficient categorization. Therefore, classification schemes are essential parts of treatment planning and outcome prediction. This article summarizes different surgical classification schemes and outcome predictors proposed for bAVMs.

An efficient predictor-corrector-based dynamic mesh method for multi-block structured grid with extremely large deformation and its applications

NASA Astrophysics Data System (ADS)

Guo, Tongqing; Chen, Hao; Lu, Zhiliang

2018-05-01

Aiming at extremely large deformation, a novel predictor-corrector-based dynamic mesh method for multi-block structured grid is proposed. In this work, the dynamic mesh generation is completed in three steps. At first, some typical dynamic positions are selected and high-quality multi-block grids with the same topology are generated at those positions. Then, Lagrange interpolation method is adopted to predict the dynamic mesh at any dynamic position. Finally, a rapid elastic deforming technique is used to correct the small deviation between the interpolated geometric configuration and the actual instantaneous one. Compared with the traditional methods, the results demonstrate that the present method shows stronger deformation ability and higher dynamic mesh quality.

A Deep Machine Learning Algorithm to Optimize the Forecast of Atmospherics

NASA Astrophysics Data System (ADS)

Russell, A. M.; Alliss, R. J.; Felton, B. D.

Space-based applications from imaging to optical communications are significantly impacted by the atmosphere. Specifically, the occurrence of clouds and optical turbulence can determine whether a mission is a success or a failure. In the case of space-based imaging applications, clouds produce atmospheric transmission losses that can make it impossible for an electro-optical platform to image its target. Hence, accurate predictions of negative atmospheric effects are a high priority in order to facilitate the efficient scheduling of resources. This study seeks to revolutionize our understanding of and our ability to predict such atmospheric events through the mining of data from a high-resolution Numerical Weather Prediction (NWP) model. Specifically, output from the Weather Research and Forecasting (WRF) model is mined using a Random Forest (RF) ensemble classification and regression approach in order to improve the prediction of low cloud cover over the Haleakala summit of the Hawaiian island of Maui. RF techniques have a number of advantages including the ability to capture non-linear associations between the predictors (in this case physical variables from WRF such as temperature, relative humidity, wind speed and pressure) and the predictand (clouds), which becomes critical when dealing with the complex non-linear occurrence of clouds. In addition, RF techniques are capable of representing complex spatial-temporal dynamics to some extent. Input predictors to the WRF-based RF model are strategically selected based on expert knowledge and a series of sensitivity tests. Ultimately, three types of WRF predictors are chosen: local surface predictors, regional 3D moisture predictors and regional inversion predictors. A suite of RF experiments is performed using these predictors in order to evaluate the performance of the hybrid RF-WRF technique. The RF model is trained and tuned on approximately half of the input dataset and evaluated on the other half. The RF approach is validated using in-situ observations of clouds. All of the hybrid RF-WRF experiments demonstrated here significantly outperform the base WRF local low cloud cover forecasts in terms of the probability of detection and the overall bias. In particular, RF experiments that use only regional three-dimensional moisture predictors from the WRF model produce the highest accuracy when compared to RF experiments that use local surface predictors only or regional inversion predictors only. Furthermore, adding multiple types of WRF predictors and additional WRF predictors to the RF algorithm does not necessarily add more value in the resulting forecasts, indicating that it is better to have a small set of meaningful predictors than to have a vast set of indiscriminately-chosen predictors. This work also reveals that the WRF-based RF approach is highly sensitive to the time period over which the algorithm is trained and evaluated. Future work will focus on developing a similar WRF-based RF model for high cloud prediction and expanding the algorithm to two-dimensions horizontally.

SIVA/DIVA- INITIAL VALUE ORDINARY DIFFERENTIAL EQUATION SOLUTION VIA A VARIABLE ORDER ADAMS METHOD

NASA Technical Reports Server (NTRS)

Krogh, F. T.

1994-01-01

The SIVA/DIVA package is a collection of subroutines for the solution of ordinary differential equations. There are versions for single precision and double precision arithmetic. These solutions are applicable to stiff or nonstiff differential equations of first or second order. SIVA/DIVA requires fewer evaluations of derivatives than other variable order Adams predictor-corrector methods. There is an option for the direct integration of second order equations which can make integration of trajectory problems significantly more efficient. Other capabilities of SIVA/DIVA include: monitoring a user supplied function which can be separate from the derivative; dynamically controlling the step size; displaying or not displaying output at initial, final, and step size change points; saving the estimated local error; and reverse communication where subroutines return to the user for output or computation of derivatives instead of automatically performing calculations. The user must supply SIVA/DIVA with: 1) the number of equations; 2) initial values for the dependent and independent variables, integration stepsize, error tolerance, etc.; and 3) the driver program and operational parameters necessary for subroutine execution. SIVA/DIVA contains an extensive diagnostic message library should errors occur during execution. SIVA/DIVA is written in FORTRAN 77 for batch execution and is machine independent. It has a central memory requirement of approximately 120K of 8 bit bytes. This program was developed in 1983 and last updated in 1987.

Predicting treatment success in social skills training for adolescents with autism spectrum disorders: the UCLA Program for the Education and Enrichment of Relational Skills.

PubMed

Chang, Ya-Chih; Laugeson, Elizabeth A; Gantman, Alexander; Ellingsen, Ruth; Frankel, Fred; Dillon, Ashley R

2014-05-01

This study seeks to examine the predictors of positive social skills outcomes from the University of California, Los Angeles Program for the Education and Enrichment of Relational Skills, an evidence-based parent-assisted social skills program for high-functioning middle school and high school adolescents with autism spectrum disorders. The results revealed that adolescents with higher parent-reported baseline social skills and lower self-reported perceived social functioning demonstrated greater improvement in social skills following the intervention.

Moving toward evidence-based federal Healthy Start program evaluations: accounting for bias in birth outcomes studies.

PubMed

Meghea, Cristian I; Raffo, Jennifer E; VanderMeulen, Peggy; Roman, Lee Anne

2014-02-01

We used administrative and screening data from 2009 to 2010 to determine if Healthy Start (HS), an enhanced prenatal services program, is reaching the most vulnerable African American women in Kent County, Michigan. Women in HS are at higher risk of key predictors of birth outcomes compared with other women. To advance toward evidence-based HS program evaluations in the absence of randomized controlled trials, future studies using comparison groups need to appropriately establish baseline equivalence on a variety of risk factors related to birth outcomes.

Real-time demonstration hardware for enhanced DPCM video compression algorithm

NASA Technical Reports Server (NTRS)

Bizon, Thomas P.; Whyte, Wayne A., Jr.; Marcopoli, Vincent R.

1992-01-01

The lack of available wideband digital links as well as the complexity of implementation of bandwidth efficient digital video CODECs (encoder/decoder) has worked to keep the cost of digital television transmission too high to compete with analog methods. Terrestrial and satellite video service providers, however, are now recognizing the potential gains that digital video compression offers and are proposing to incorporate compression systems to increase the number of available program channels. NASA is similarly recognizing the benefits of and trend toward digital video compression techniques for transmission of high quality video from space and therefore, has developed a digital television bandwidth compression algorithm to process standard National Television Systems Committee (NTSC) composite color television signals. The algorithm is based on differential pulse code modulation (DPCM), but additionally utilizes a non-adaptive predictor, non-uniform quantizer and multilevel Huffman coder to reduce the data rate substantially below that achievable with straight DPCM. The non-adaptive predictor and multilevel Huffman coder combine to set this technique apart from other DPCM encoding algorithms. All processing is done on a intra-field basis to prevent motion degradation and minimize hardware complexity. Computer simulations have shown the algorithm will produce broadcast quality reconstructed video at an average transmission rate of 1.8 bits/pixel. Hardware implementation of the DPCM circuit, non-adaptive predictor and non-uniform quantizer has been completed, providing realtime demonstration of the image quality at full video rates. Video sampling/reconstruction circuits have also been constructed to accomplish the analog video processing necessary for the real-time demonstration. Performance results for the completed hardware compare favorably with simulation results. Hardware implementation of the multilevel Huffman encoder/decoder is currently under development along with implementation of a buffer control algorithm to accommodate the variable data rate output of the multilevel Huffman encoder. A video CODEC of this type could be used to compress NTSC color television signals where high quality reconstruction is desirable (e.g., Space Station video transmission, transmission direct-to-the-home via direct broadcast satellite systems or cable television distribution to system headends and direct-to-the-home).

Energy homeostasis and appetite regulating hormones as predictors of weight loss in men and women.

PubMed

Williams, Rebecca L; Wood, Lisa G; Collins, Clare E; Morgan, Philip J; Callister, Robin

2016-06-01

Sex differences in weight loss are often seen despite using the same weight loss program. There has been relatively little investigation of physiological influences on weight loss success in males and females, such as energy homeostasis and appetite regulating hormones. The aims were to 1) characterise baseline plasma leptin, ghrelin and adiponectin concentrations in overweight and obese males and females, and 2) determine whether baseline concentrations of these hormones predict weight loss in males and females. Subjects were overweight or obese (BMI 25-40 kg/m(2)) adults aged 18-60 years. Weight was measured at baseline, and after three and six months participation in a weight loss program. Baseline concentrations of leptin, adiponectin and ghrelin were determined by enzyme-linked immunosorbent assay (ELISA). An independent t-test or non-parametric equivalent was used to determine any differences between sex. Linear regression determined whether baseline hormone concentrations were predictors of six-month weight change. Females had significantly higher baseline concentrations of leptin, adiponectin and unacylated ghrelin as well as ratios of leptin:adiponectin and leptin:ghrelin. The ratio of acylated:unacylated ghrelin was significantly higher in males. In males and females, a higher baseline concentration of unacylated ghrelin predicted greater weight loss at six months. Additionally in females, higher baseline total ghrelin predicted greater weight loss and a higher ratio of leptin:ghrelin predicted weight gain at six months. A higher pre-weight-loss plasma concentration of unacylated ghrelin is a modest predictor of weight loss success in males and females, while a higher leptin:ghrelin ratio is a predictor of weight loss failure in females. Further investigation is required into what combinations and concentrations of these hormones are optimal for weight loss success. Copyright © 2016 Elsevier Ltd. All rights reserved.

Quality of life predicts outcome in a heart failure disease management program.

PubMed

O'Loughlin, Christina; Murphy, Niamh F; Conlon, Carmel; O'Donovan, Aoife; Ledwidge, Mark; McDonald, Ken

2010-02-18

Chronic heart failure (HF) is associated with a poor Health Related Quality of Life (HRQoL). HRQoL has been shown to be a predictor of HF outcomes however, variability in the study designs make it difficult to apply these findings to a clinical setting. The aim of this study was to establish if HRQoL is a predictor of long-term mortality and morbidity in HF patients followed-up in a disease management program (DMP) and if a HRQoL instrument could be applied to aid in identifying high-risk patients within a clinical context. This is a retrospective analysis of HF patients attending a DMP with 18+/-9 months follow-up. Clinical and biochemical parameters were recorded on discharge from index HF admission and HRQoL measures were recorded at 2 weeks post index admission. 225 patients were enrolled into the study (mean age=69+/-12 years, male=61%, and 78%=systolic HF). In multivariable analysis, all dimensions of HRQoL (measured by the Minnesota Living with HF Questionnaire) were independent predictors of both mortality and readmissions particularly in patients <80 years. A significant interaction between HRQoL and age (Total((HRQoL))age: p<0.001) indicated that the association of HRQoL with outcomes diminished as age increased. These data demonstrate that HRQoL is a predictor of outcome in HF patients managed in a DMP. Younger patients (<65 years) with a Total HRQoL score of > or =50 are at high risk of an adverse outcome. In older patients > or =80 years HRQoL is not useful in predicting outcome. Copyright 2008 Elsevier Ireland Ltd. All rights reserved.

Prenatal Predictors of Maternal Attachment and Their Association with Postpartum Depressive Symptoms in Mexican Women at Risk of Depression.

PubMed

Nieto, Lourdes; Lara, Ma Asunción; Navarrete, Laura

2017-06-01

Objectives Although maternal attachment is an important predictor of infant developmental outcomes, little is known about its pre- and postnatal predictors. The purpose of this secondary data analysis is to assess several risk factors for maternal attachment at 6 months postpartum in a sample of Mexican women at risk of depression. The predictors included were prenatal depressive symptoms, pregnancy intendedness, partner relationship, social support, maternal history of childhood sexual abuse, and postpartum depressive symptoms. Methods A total of 156 pregnant women seeking antenatal care at three health centers were selected because they displayed depressive symptoms (CES-D ≥ 16) or had previously suffered depression. Women were interviewed during pregnancy and at 6 months postpartum. A step-wise multivariate logistic regression was conducted to evaluate the pre- and postpartum risk factors for postpartum depression related to low maternal attachment. Results Pre- and postpartum depressive symptoms increased the risk of low maternal attachment by factors of 3.00 and 3.97, respectively, compared with women who did not present these symptoms; low level of adjustment with the partner increased the risk by a factor of 3.11, low social support by a factor of 2.90, and CSA by a factor of 2.77. Conclusions for practice Prevention programs during pregnancy to reduce depressive symptoms should strengthen strategies to promote maternal attachment by improving partner relations and increasing social support. However, evidence shows that such programs alone are insufficient, so direct interventions should also be implemented. Women with a history of childhood sexual abuse should be given additional attention during prenatal care.

Serum magnesium level is associated with type 2 diabetes in women with a history of gestational diabetes mellitus: the Korea National Diabetes Program study.

PubMed

Yang, Sae Jeong; Hwang, Soon Young; Baik, Sei Hyun; Lee, Kwan Woo; Nam, Moon Suk; Park, Yong Soo; Woo, Jeong Taek; Kim, Young Seol; Park, Sunmin; Park, So-Young; Yim, Chang Hoon; Yoon, Hyun Koo; Kim, Sung-Hoon

2014-01-01

Gestational diabetes mellitus (GDM) is a strong predictor of postpartum prediabetes and transition to overt type 2 diabetes (T2DM). Although many reports indicate that low magnesium is correlated with deteriorated glucose tolerance, the association between postpartum serum magnesium level and the risk for T2DM in women with a history of GDM has not been evaluated. We analyzed postpartum serum magnesium levels and development of prediabetes and T2DM in women with prior GDM according to American Diabetes Association (ADA) criteria using the Korean National Diabetes Program (KNDP) GDM cohort. During a mean follow-up of 15.6 ± 2.0 months after screening, 116 women were divided into three groups according to glucose tolerance status. Ultimately, eight patients (6.9%) were diagnosed with T2DM, 59 patients (50.9%) with prediabetes, and 49 patients (42.2%) with normal glucose tolerance (NGT) after follow-up. The T2DM group had the lowest serum magnesium level (0.65 [0.63-0.68] mM/L) in the postpartum period, but there was no significant difference between the prediabetes group (0.70 [0.65-0.70] mM/L) and the NGT group (0.70 [0.65-0.70] mM/L) (P=0.073) Multiple logistic regression analysis showed that postpartum HOMA-IR was a significant predictor of both prediabetes and T2DM. Moreover, we found that postpartum serum magnesium level was also a possible predictor for T2DM development. Serum magnesium level in the postpartum period may be a possible predictor for T2DM development in women with a history of GDM.

Risk factors for 30-day postoperative complications and mortality after below-knee amputation: a study of 2,911 patients from the national surgical quality improvement program.

PubMed

Belmont, Philip J; Davey, Shaunette; Orr, Justin D; Ochoa, Leah M; Bader, Julia O; Schoenfeld, Andrew J

2011-09-01

This investigation sought to evaluate risk factors for morbidity and mortality from a large series of below-knee amputees prospectively entered in a national database. All patients undergoing below-knee amputations in the years 2005-2008 were identified in the database of the National Surgical Quality Improvement Program (NSQIP). Demographic data, medical comorbidities, and medical history were obtained. Mortality and postoperative complications within 30 days of the below-knee amputation were also documented. Chi-square test, univariate, and multivariate logistic regression analyses were used to assess the effect of specific risk factors on mortality, as well as the likelihood of developing major, minor, or any complications developing. Below-knee amputations were performed in 2,911 patients registered in the NSQIP database between 2005 and 2008. The average age of patients was 65.8 years old and 64.3% were male. There was a 7.0% 30-day mortality rate and 1,627 complications occurred in 1,013 patients (34.4%). Multivariate logistic regression analysis identified renal insufficiency, cardiac issues, history of sepsis, steroid use, COPD, and increased patient age as independent predictors of mortality. The most common major complications were return to the operating room (15.6%), wound infection (9.3%), and postoperative sepsis (9.3%). History of sepsis, alcohol use, steroid use, cardiac issues, renal insufficiency, and contaminated/infected wounds were independent predictors of one or more complications developing. Renal disease, cardiac issues, history of sepsis, steroid use, COPD, and increased patient age were identified as predictors of mortality after below-knee amputation. Renal disease, cardiac issues, history of sepsis, steroid use, contaminated/infected wounds, and alcohol use were also found to be predictors of postoperative complications. Published by Elsevier Inc.

Why do nonsurvivors from community-acquired pneumonia not receive ventilatory support?

PubMed

Bauer, Torsten T; Welte, Tobias; Strauss, Richard; Bischoff, Helge; Richter, Klaus; Ewig, Santiago

2013-08-01

We investigated rates and predictors of ventilatory support during hospitalization in seemingly not severely compromised nonsurvivors of community-acquired pneumonia (CAP). We used the database from the German nationwide mandatory quality assurance program including all hospitalized patients with CAP from 2007 to 2011. We selected a population not residing in nursing homes, not bedridden, and not referred from another hospital. Predictors of ventilatory support were identified using a multivariate analysis. Overall, 563,901 patients (62.3% of the whole population) were included. Mean age was 69.4 ± 16.6 years; 329,107 (58.4%) were male. Mortality was 39,895 (7.1%). A total of 28,410 (5.0%) received ventilatory support during the hospital course, and 76.3% of nonsurvivors did not receive ventilatory support (62.6% of those aged <65 years and 78% of those aged ≥65 years). Higher age (relative risk (RR) 0.48, 95% confidence interval (CI) 0.44-0.51), failure to assess gas exchange (RR 0.18, 95% CI 0.14-0.25) and to administer antibiotics within 8 h of hospitalization (RR 0.48, 95% CI 0.39-0.59) were predictors of not receiving ventilatory support during hospitalization. Death from CAP occurred significantly earlier in the nonventilated group (8.2 ± 8.9 vs. 13.1 ± 14.1 days; p < 0.0001). The number of nonsurvivors without obvious reasons for withholding ventilatory support is disturbingly high, particularly in younger patients. Both performance predictors for not being ventilated remain ambiguous, because they may reflect either treatment restrictions or deficient clinical performance. Elucidating this ambiguity will be part of the forthcoming update of the quality assurance program.

Depression among family caregivers of community-dwelling older people who used services under the Long Term Care Insurance program: a large-scale population-based study in Japan.

PubMed

Arai, Yumiko; Kumamoto, Keigo; Mizuno, Yoko; Washio, Masakazu

2014-01-01

To identify predictors for depression among family caregivers of community-dwelling older people under the Long Term Care Insurance (LTCI) program in Japan through a large-scale population-based survey. All 5938 older people with disabilities, using domiciliary services under the LTCI in the city of Toyama, and their family caregivers participated in this study. Caregiver depression was defined as scores of ≥16 on the Center for Epidemiological Studies Depression Scale (CES-D). Other caregiver measures included age, sex, hours spent caregiving, relationship to the care recipient, income adequacy, living arrangement, self-rated health, and work status. Care recipient measures included age, sex, level of functional disability, and severity of dementia. The data from 4128 pairs of the care recipients and their family caregivers were eligible for further analyses. A multiple logistic regression analysis was used to examine the predictors associated with being at risk of clinical depression (CES-D of ≥16). Overall, 34.2% of caregivers scored ≥16 on the CES-D. The independent predictors for depression by logistic regression analysis were six caregiver characteristics (female, income inadequacy, longer hours spent caregiving, worse subjective health, and co-residence with the care recipient) and one care-recipient characteristic (moderate dementia). This is one of the first population-based examinations of caregivers of older people who are enrolled in a national service system that provides affordable access to services. The results highlighted the importance of monitoring caregivers who manifest the identified predictors to attenuate caregiver depression at the population level under the LTCI.

Predicting success on the certification examinations of the American Board of Anesthesiology.

PubMed

McClintock, Joseph C; Gravlee, Glenn P

2010-01-01

Currently, residency programs lack objective predictors for passing the sequenced American Board of Anesthesiology (ABA) certification examinations on the first attempt. Our hypothesis was that performance on the ABA/American Society of Anesthesiologists In-Training Examination (ITE) and other variables can predict combined success on the ABA Part 1 and Part 2 examinations. The authors studied 2,458 subjects who took the ITE immediately after completing the first year of clinical anesthesia training and took the ABA Part 1 examination for primary certification immediately after completing residency training 2 yr later. ITE scores and other variables were used to predict which residents would complete the certification process (passing the ABA Part 1 and Part 2 examinations) in the shortest possible time after graduation. ITE scores alone accounted for most of the explained variation in the desired outcome of certification in the shortest possible time. In addition, almost half of the observed variation and most of the explained variance in ABA Part 1 scores was accounted for by ITE scores. A combined model using ITE scores, residency program accreditation cycle length, country of medical school, and gender best predicted which residents would complete the certification examinations in the shortest possible time. The principal implication of this study is that higher ABA/ American Society of Anesthesiologists ITE scores taken at the end of the first clinical anesthesia year serve as a significant and moderately strong predictor of high performance on the ABA Part 1 (written) examination, and a significant predictor of success in completing both the Part 1 and Part 2 examinations within the calendar year after the year of graduation from residency. Future studies may identify other predictors, and it would be helpful to identify factors that predict clinical performance as well.

Integrated healthcare networks' performance: a growth curve modeling approach.

PubMed

Wan, Thomas T H; Wang, Bill B L

2003-05-01

This study examines the effects of integration on the performance ratings of the top 100 integrated healthcare networks (IHNs) in the United States. A strategic-contingency theory is used to identify the relationship of IHNs' performance to their structural and operational characteristics and integration strategies. To create a database for the panel study, the top 100 IHNs selected by the SMG Marketing Group in 1998 were followed up in 1999 and 2000. The data were merged with the Dorenfest data on information system integration. A growth curve model was developed and validated by the Mplus statistical program. Factors influencing the top 100 IHNs' performance in 1998 and their subsequent rankings in the consecutive years were analyzed. IHNs' initial performance scores were positively influenced by network size, number of affiliated physicians and profit margin, and were negatively associated with average length of stay and technical efficiency. The continuing high performance, judged by maintaining higher performance scores, tended to be enhanced by the use of more managerial or executive decision-support systems. Future studies should include time-varying operational indicators to serve as predictors of network performance.

Prediction of maize phenotype based on whole-genome single nucleotide polymorphisms using deep belief networks

NASA Astrophysics Data System (ADS)

Rachmatia, H.; Kusuma, W. A.; Hasibuan, L. S.

2017-05-01

Selection in plant breeding could be more effective and more efficient if it is based on genomic data. Genomic selection (GS) is a new approach for plant-breeding selection that exploits genomic data through a mechanism called genomic prediction (GP). Most of GP models used linear methods that ignore effects of interaction among genes and effects of higher order nonlinearities. Deep belief network (DBN), one of the architectural in deep learning methods, is able to model data in high level of abstraction that involves nonlinearities effects of the data. This study implemented DBN for developing a GP model utilizing whole-genome Single Nucleotide Polymorphisms (SNPs) as data for training and testing. The case study was a set of traits in maize. The maize dataset was acquisitioned from CIMMYT’s (International Maize and Wheat Improvement Center) Global Maize program. Based on Pearson correlation, DBN is outperformed than other methods, kernel Hilbert space (RKHS) regression, Bayesian LASSO (BL), best linear unbiased predictor (BLUP), in case allegedly non-additive traits. DBN achieves correlation of 0.579 within -1 to 1 range.

Adult day health care evaluation study: methodology and implementation. Adult Day Health Care Evaluation Development Group.

PubMed Central

Hedrick, S C; Rothman, M L; Chapko, M; Inui, T S; Kelly, J R; Ehreth, J

1991-01-01

The Adult Day Health Care Evaluation Study was developed in response to a congressional mandate to study the medical efficacy and cost effectiveness of the Adult Day Health Care (ADHC) effort in the Department of Veterans Affairs (VA). Four sites providing ADHC in VA facilities are participating in an ongoing randomized controlled trial. Three years of developmental work prior to the study addressed methodological issues that were problematic in previous studies. This developmental work resulted in the methodological approaches described here: (1) a patient recruitment process that actively recruits and screens all potential candidates using empirically developed admission criteria based on predictors of nursing home placement in VA; (2) the selection and development of measures of medical efficacy that assess a wide range of patient and caregiver outcomes with sufficient sensitivity to detect small but clinically important changes; and (3) methods for detailed, accurate, and efficient measurement of utilization and costs of health care within and outside VA. These approaches may be helpful to other researchers and may advance the methodological sophistication of long-term care program evaluation. PMID:1991678

New developments in water efficiency

NASA Astrophysics Data System (ADS)

Gregg, Tony T.; Dewees, Amanda; Gross, Drema; Hoffman, Bill; Strub, Dan; Watson, Matt

2006-10-01

An overview of significant new developments in water efficiency is presented in this paper. The areas covered will be legislative, regulatory, new programs or program wrinkles, new products, and new studies on the effectiveness of conservation programs. Examples include state and local level efficiency regulations in Texas; the final results of the national submetering study for apartments in the US; the US effort to adopt the IWA protocols for leak detection; new water efficient commercial products such as ET irrigation controllers, new models of efficient clothes washers, and innovative toilet designs.

The NASA Aircraft Energy Efficiency Program

NASA Technical Reports Server (NTRS)

Klineberg, J. M.

1978-01-01

The objective of the NASA Aircraft Energy Efficiency Program is to accelerate the development of advanced technology for more energy-efficient subsonic transport aircraft. This program will have application to current transport derivatives in the early 1980s and to all-new aircraft of the late 1980s and early 1990s. Six major technology projects were defined that could result in fuel savings in commercial aircraft: (1) Engine Component Improvement, (2) Energy Efficient Engine, (3) Advanced Turboprops, (4) Energy Efficiency Transport (aerodynamically speaking), (5) Laminar Flow Control, and (6) Composite Primary Structures.

Organic Wheat Farming Improves Grain Zinc Concentration

PubMed Central

Helfenstein, Julian; Müller, Isabel; Grüter, Roman; Bhullar, Gurbir; Mandloi, Lokendra; Papritz, Andreas; Siegrist, Michael; Schulin, Rainer; Frossard, Emmanuel

2016-01-01

Zinc (Zn) nutrition is of key relevance in India, as a large fraction of the population suffers from Zn malnutrition and many soils contain little plant available Zn. In this study we compared organic and conventional wheat cropping systems with respect to DTPA (diethylene triamine pentaacetic acid)-extractable Zn as a proxy for plant available Zn, yield, and grain Zn concentration. We analyzed soil and wheat grain samples from 30 organic and 30 conventional farms in Madhya Pradesh (central India), and conducted farmer interviews to elucidate sociological and management variables. Total and DTPA-extractable soil Zn concentrations and grain yield (3400 kg ha-1) did not differ between the two farming systems, but with 32 and 28 mg kg-1 respectively, grain Zn concentrations were higher on organic than conventional farms (t = -2.2, p = 0.03). Furthermore, multiple linear regression analyses revealed that (a) total soil zinc and sulfur concentrations were the best predictors of DTPA-extractable soil Zn, (b) Olsen phosphate taken as a proxy for available soil phosphorus, exchangeable soil potassium, harvest date, training of farmers in nutrient management, and soil silt content were the best predictors of yield, and (c) yield, Olsen phosphate, grain nitrogen, farmyard manure availability, and the type of cropping system were the best predictors of grain Zn concentration. Results suggested that organic wheat contained more Zn despite same yield level due to higher nutrient efficiency. Higher nutrient efficiency was also seen in organic wheat for P, N and S. The study thus suggests that appropriate farm management can lead to competitive yield and improved Zn concentration in wheat grains on organic farms. PMID:27537548

Organic Wheat Farming Improves Grain Zinc Concentration.

PubMed

Helfenstein, Julian; Müller, Isabel; Grüter, Roman; Bhullar, Gurbir; Mandloi, Lokendra; Papritz, Andreas; Siegrist, Michael; Schulin, Rainer; Frossard, Emmanuel

2016-01-01

Zinc (Zn) nutrition is of key relevance in India, as a large fraction of the population suffers from Zn malnutrition and many soils contain little plant available Zn. In this study we compared organic and conventional wheat cropping systems with respect to DTPA (diethylene triamine pentaacetic acid)-extractable Zn as a proxy for plant available Zn, yield, and grain Zn concentration. We analyzed soil and wheat grain samples from 30 organic and 30 conventional farms in Madhya Pradesh (central India), and conducted farmer interviews to elucidate sociological and management variables. Total and DTPA-extractable soil Zn concentrations and grain yield (3400 kg ha-1) did not differ between the two farming systems, but with 32 and 28 mg kg-1 respectively, grain Zn concentrations were higher on organic than conventional farms (t = -2.2, p = 0.03). Furthermore, multiple linear regression analyses revealed that (a) total soil zinc and sulfur concentrations were the best predictors of DTPA-extractable soil Zn, (b) Olsen phosphate taken as a proxy for available soil phosphorus, exchangeable soil potassium, harvest date, training of farmers in nutrient management, and soil silt content were the best predictors of yield, and (c) yield, Olsen phosphate, grain nitrogen, farmyard manure availability, and the type of cropping system were the best predictors of grain Zn concentration. Results suggested that organic wheat contained more Zn despite same yield level due to higher nutrient efficiency. Higher nutrient efficiency was also seen in organic wheat for P, N and S. The study thus suggests that appropriate farm management can lead to competitive yield and improved Zn concentration in wheat grains on organic farms.

77 FR 31756 - Energy Conservation Program: Alternative Efficiency Determination Methods and Alternative Rating...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-30

...-AC46 Energy Conservation Program: Alternative Efficiency Determination Methods and Alternative Rating Methods: Public Meeting AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy... regulations authorizing the use of alternative methods of determining energy efficiency or energy consumption...

75 FR 32177 - Energy Efficiency Program for Consumer Products: Commonwealth of Massachusetts Petition for...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-07

... DEPARTMENT OF ENERGY Office of Energy Efficiency and Renewable Energy [Docket Number EERE-BT-PET-0024] Energy Efficiency Program for Consumer Products: Commonwealth of Massachusetts Petition for Exemption From Federal Preemption of Massachusetts' Energy Efficiency Standard for Residential Non...

Mental health and sleep of older wife caregivers for spouses with Alzheimer's disease and related disorders.

PubMed

Willette-Murphy, Karen; Todero, Catherine; Yeaworth, Rosalee

2006-10-01

This descriptive study examined sleep and mental health variables in 37 older wife caregivers for spouses with dementia compared to 37 age-matched controls. The relationships among selected caregiving variables (behavioral problems, caregiving hours, and years of caregiving), appraisal of burden, self-reported sleep efficiency for the past week, and mental health outcomes were examined. Lazarus and Folkman's stress and coping framework guided the study. Mental health and sleep were poorer for caregivers. Caregiving and appraisal of burden variables showed direct and indirect effects on mental health. However, caregiving and appraisal of burden variables were not significant for predicting sleep efficiency. Sleep efficiency was a good predictor of mental health in this sample of wife caregivers.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hawkley, Gavin; Whicker, Jeffrey; Harris, Jason

Here, excavations of radiological material were performed within confined structures with known operational parameters, such as a filtered exhaust system with known filtration efficiency. Given the known efficiency, the assumption could be made that the air concentrations of radioactivity measured outside the structure would be proportional to the air concentrations measured inside the structure. To investigate this assumption, the inside concentration data was compared with the outside concentration data. The correlation of the data suggested that the inside concentrations were not a good predictor of the outside concentrations. This poor correlation was deemed to be a result of operational unknownsmore » within the structures.« less