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Sample records for dnabindprot fluctuation-based predictor

  1. Spectral Predictors

    SciTech Connect

    Ibarria, L; Lindstrom, P; Rossignac, J

    2006-11-17

    Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done using predictive coding, in which weighted combinations of previously coded samples known to both encoder and decoder are used to predict subsequent nearby samples. In hierarchical, incremental, or selective transmission, the spatial pattern of the known neighbors is often irregular and varies from one sample to the next, which precludes prediction based on a single stencil and fixed set of weights. To handle such situations and make the best use of available neighboring samples, we propose a local spectral predictor that offers optimal prediction by tailoring the weights to each configuration of known nearby samples. These weights may be precomputed and stored in a small lookup table. We show that predictive coding using our spectral predictor improves compression for various sources of high-precision data.

  2. Distillation Column Flooding Predictor

    SciTech Connect

    2002-02-01

    This factsheet describes a research project whose goal is to develop the flooding predictor, an advanced process control strategy, into a universally useable tool that will maximize the separation yield of a distillation column.

  3. Satellite orbit predictor

    NASA Technical Reports Server (NTRS)

    Friedman, Morton l.; Garrett, James, Major

    An analog aid to determine satellite coverage of Emergency Locator Transmitters Emergency Position Indicating Radio Beacon (ELT/EPIRB) distress incidence is discussed. The satellite orbit predictor is a graphical aid for determining the relationship between the satellite orbit, antenna coverage of the spacecraft and coverage of the Local User Terminal. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite.A table of equator crossings for each satellite is included.

  4. Child Lifestyles Predictors

    ERIC Educational Resources Information Center

    Özpolat, Ahmet Ragip

    2014-01-01

    The purpose of this study is to explain the effectiveness of parental attitudes, socio-economic status and gender in determining the predictors of child lifestyles. The study group consists of three hundred and fifty (350) eighth grade students studying in the province of Erzincan during the 2012-2013 academic year; the students are selected by…

  5. Pharmacogenetic Predictors of Response.

    PubMed

    Hertz, Daniel L; Rae, James M

    2016-01-01

    Pharmacogenetics attempts to predict treatment response using a patient's "germline" genome as the biomarker of interest. This chapter on pharmacogenetic predictors of breast cancer response is divided into four sections. The first introduces readers to genetic variation and describes how variation in the germline genome can affect biology or pharmacology. The second section introduces the translational pathway for pharmacogenetic research and discusses the specific challenges to identifying pharmacogenetic predictors of breast cancer response. The third section is divided into three subsections, each of which discusses a distinct category of pharmacogenetic response predictors; pharmacokinetics, cancer cell sensitivity, and effector cell activation. Within each subsection a specific pharmacogenetic association is described in detail; CYP2D6-tamoxifen, BRCA-PARP inhibitors, and FCGRA-trastuzumab, respectively, followed by a general discussion of other less well-established examples or areas for further research. The chapter concludes with a summary of the current status of pharmacogenetic predictors of breast cancer response and a few predictions for the future of this field. PMID:26987536

  6. Predictors of General Chemistry Grades.

    ERIC Educational Resources Information Center

    Ozsogomonyan, Ardas; Loftus, Drew

    1979-01-01

    Chemistry pretest scores, high school chemistry grades and, to a greater extent, math SAT scores were useful predictors of college general chemistry grades. Regression analysis of all these predictors combined was used to construct an expectancy table which is being used to identify and advise underprepared students. (BB)

  7. Performance of protein stability predictors.

    PubMed

    Khan, Sofia; Vihinen, Mauno

    2010-06-01

    Stability is a fundamental property affecting function, activity, and regulation of biomolecules. Stability changes are often found for mutated proteins involved in diseases. Stability predictors computationally predict protein-stability changes caused by mutations. We performed a systematic analysis of 11 online stability predictors' performances. These predictors are CUPSAT, Dmutant, FoldX, I-Mutant2.0, two versions of I-Mutant3.0 (sequence and structure versions), MultiMutate, MUpro, SCide, Scpred, and SRide. As input, 1,784 single mutations found in 80 proteins were used, and these mutations did not include those used for training. The programs' performances were also assessed according to where the mutations were found in the proteins, that is, in secondary structures and on the surface or in the core of a protein, and according to protein structure type. The extents to which the mutations altered the occupied volumes at the residue sites and the charge interactions were also characterized. The predictions of all programs were in line with the experimental data. I-Mutant3.0 (utilizing structural information), Dmutant, and FoldX were the most reliable predictors. The stability-center predictors performed with similar accuracy. However, at best, the predictions were only moderately accurate ( approximately 60%) and significantly better tools would be needed for routine analysis of mutation effects. PMID:20232415

  8. Distillation Column Flooding Predictor

    SciTech Connect

    George E. Dzyacky

    2010-11-23

    The Flooding Predictor™ is a patented advanced control technology proven in research at the Separations Research Program, University of Texas at Austin, to increase distillation column throughput by over 6%, while also increasing energy efficiency by 10%. The research was conducted under a U. S. Department of Energy Cooperative Agreement awarded to George Dzyacky of 2ndpoint, LLC. The Flooding Predictor™ works by detecting the incipient flood point and controlling the column closer to its actual hydraulic limit than historical practices have allowed. Further, the technology uses existing column instrumentation, meaning no additional refining infrastructure is required. Refiners often push distillation columns to maximize throughput, improve separation, or simply to achieve day-to-day optimization. Attempting to achieve such operating objectives is a tricky undertaking that can result in flooding. Operators and advanced control strategies alike rely on the conventional use of delta-pressure instrumentation to approximate the column’s approach to flood. But column delta-pressure is more an inference of the column’s approach to flood than it is an actual measurement of it. As a consequence, delta pressure limits are established conservatively in order to operate in a regime where the column is never expected to flood. As a result, there is much “left on the table” when operating in such a regime, i.e. the capacity difference between controlling the column to an upper delta-pressure limit and controlling it to the actual hydraulic limit. The Flooding Predictor™, an innovative pattern recognition technology, controls columns at their actual hydraulic limit, which research shows leads to a throughput increase of over 6%. Controlling closer to the hydraulic limit also permits operation in a sweet spot of increased energy-efficiency. In this region of increased column loading, the Flooding Predictor is able to exploit the benefits of higher liquid

  9. A fourth generation reliability predictor

    NASA Technical Reports Server (NTRS)

    Bavuso, Salvatore J.; Martensen, Anna L.

    1988-01-01

    A reliability/availability predictor computer program has been developed and is currently being beta-tested by over 30 US companies. The computer program is called the Hybrid Automated Reliability Predictor (HARP). HARP was developed to fill an important gap in reliability assessment capabilities. This gap was manifested through the use of its third-generation cousin, the Computer-Aided Reliability Estimation (CARE III) program, over a six-year development period and an additional three-year period during which CARE III has been in the public domain. The accumulated experience of the over 30 establishments now using CARE III was used in the development of the HARP program.

  10. The Ensembl Variant Effect Predictor.

    PubMed

    McLaren, William; Gil, Laurent; Hunt, Sarah E; Riat, Harpreet Singh; Ritchie, Graham R S; Thormann, Anja; Flicek, Paul; Cunningham, Fiona

    2016-01-01

    The Ensembl Variant Effect Predictor is a powerful toolset for the analysis, annotation, and prioritization of genomic variants in coding and non-coding regions. It provides access to an extensive collection of genomic annotation, with a variety of interfaces to suit different requirements, and simple options for configuring and extending analysis. It is open source, free to use, and supports full reproducibility of results. The Ensembl Variant Effect Predictor can simplify and accelerate variant interpretation in a wide range of study designs. PMID:27268795

  11. Predictors of Rural Practice Location

    ERIC Educational Resources Information Center

    Kegel-Flom, Penelope

    1977-01-01

    Attitudes toward the urban environment and place of origin were found to be the best predictors of an optometrist's practice location. Findings of this study imply that optometry students most likely to enter rural practice can be objectively identified early in their training and that the predictive equation presented may be useful in the…

  12. Predictors of Smokeless Tobacco Abstinence

    ERIC Educational Resources Information Center

    Ebbert, Jon O.; Glover, Elbert D.; Shinozaki, Eri; Schroeder, Darrell R.; Dale, Lowell C.

    2008-01-01

    Objectives: To investigate predictors of tobacco abstinence among smokeless tobacco (ST) users. Methods: Logistic regression analyses assessed characteristics associated with tobacco abstinence among ST users receiving bupropion SR. Results: Older age was associated with increased tobacco abstinence in both placebo and bupropion SR groups at end…

  13. Infant Predictors of Behavioural Inhibition

    ERIC Educational Resources Information Center

    Moehler, Eva; Kagan, Jerome; Oelkers-Ax, Rieke; Brunner, Romuald; Poustka, Luise; Haffner, Johann; Resch, Franz

    2008-01-01

    Behavioural inhibition in the second year of life is a hypothesized predictor for shyness, social anxiety and depression in later childhood, adolescence and even adulthood. To search for the earliest indicators of this fundamental temperamental trait, this study examined whether behavioural characteristics in early infancy can predict behavioural…

  14. [PREDICTORS OF RESISTANT ARTERIAL HYPERTENSION].

    PubMed

    Lazutkina, A Y; Gorbunov, V V

    2016-01-01

    The paper reports results of 6 year prospective observation of 7959 members of locomotive crews engaged at the Transbaikal Railways. The study aimed to estimate the probability and time of development of resistant arterial hypertension under effect of predictors of this disease. The data obtained are of value for diagnostic, prophylactic, and therapeutic practice. PMID:27522725

  15. Predictors of Students' Academic Performance

    ERIC Educational Resources Information Center

    Makar, Kathryn K.

    2013-01-01

    Research conclusions concerning predictors of academic success have been, at best, less than convincing. In fact, these conclusions are more conflicting or mixed when emotional constructs are used. As a result, modern curriculum developers as well as classroom instructors seem to deemphasize, if not ignore, the role of the affective domain in…

  16. Measures for Predictors of Innovation Adoption

    PubMed Central

    Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.

    2014-01-01

    Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175

  17. Predictors of Homelessness among Street Living Youth

    ERIC Educational Resources Information Center

    Slesnick, Natasha; Bartle-Haring, Suzanne; Dashora, Pushpanjali; Kang, Min Ju; Aukward, Erin

    2008-01-01

    While few studies have identified predictors of exiting homelessness among adults, even fewer studies have attempted to identify these predictors among homeless youth. The current study explored predictors of change in homelessness among 180 homeless youth between the ages of 14 and 22, recruited through an urban drop-in center. All youth were…

  18. Predictors of returning to work.

    PubMed

    Ash, P; Goldstein, S I

    1995-01-01

    An investigation of predictors of returning to work in a sample of physically injured persons who are receiving workers' compensation benefits and vocational rehabilitation is presented. One hundred fourteen injured subjects (86 with back injury; 28, other injury) undergoing vocational rehabilitation and receiving workers' compensation benefits were assessed on demographic, emotional, cognitive, financial incentive, and miscellaneous variables. Predictors for returning to work were identified using stepwise logistic regression. Patients with moderate or severe depression, defined as a score greater than 16 on the Beck Depression Inventory (BDI), were significantly less likely to return to work following vocational rehabilitation efforts than patients with less severe depression (for back-injured patients, odds ratio (OR) = 31, 95% CI [8.8, 108]). BDI scores correctly classified 84 percent of the back-injury and 86% of the other-injury groups with respect to their return to work. The level of workers' compensation benefit was the only variable that added (marginally) to the predictive power of the BDI. In a physically injured population receiving workers' compensation benefits, who are judged to be not clearly permanently disabled, level of depressive symptoms is a strong predictor of returning to work. Caution is warranted in using the BDI as the sole determinant in a forensic situation for making a real-world prediction, as BDI responses are easy to fake. Treatment of concurrent depression is an important component of helping physically injured workers resume gainful employment. PMID:8605404

  19. [PREDICTORS OF ATHEROSCLEROSIS: NEW DEVELOPMENTS].

    PubMed

    Gozhenko, A I; Kotyuzhinskaya, S G; Kovalevskaya, L A

    2014-12-01

    The article describes known atherosclerosis predictors of endothelial origin, which are diagnostic criteria for identifying's early stages of atherosclerosis, and can prevent the development of this disease and are used to monitor the effectiveness of the therapy The authors analyzed the possibility of using heparin as an early marker of atherosclerosis, based on the fact that the inhibition of lipoprotein lipase activity due hyperheparinemia resulting from depletion of mast cells due to endothelial dysfunction, leads to the disorders of lipid transporting system in the form of the resistant hyperlipidemia with the phenomena of dyslipidemia. PMID:26638463

  20. Predictors of spoken language learning

    PubMed Central

    Wong, Patrick C. M.; Ettlinger, Marc

    2011-01-01

    We report two sets of experiments showing that the large individual variability in language learning success in adults can be attributed to neurophysiological, neuroanatomical, cognitive, and perceptual factors. In the first set of experiments, native English-speaking adults learned to incorporate lexically meaningfully pitch patterns in words. We found those who were successful to have higher activation in bilateral auditory cortex, larger volume in Heschl’s Gyrus, and more accurate pitch pattern perception. All of these measures were performed before training began. In the second set of experiments, native English-speaking adults learned a phonological grammatical system governing the formation of words of an artificial language. Again, neurophysiological, neuroanatomical, and cognitive factors predicted to an extent how well these adults learned. Taken together, these experiments suggest that neural and behavioral factors can be used to predict spoken language learning. These predictors can inform the redesign of existing training paradigms to maximize learning for learners with different learning profiles. Learning outcomes: Readers will be able to: (a) understand the linguistic concepts of lexical tone and phonological grammar, (b) identify the brain regions associated with learning lexical tone and phonological grammar, and (c) identify the cognitive predictors for successful learning of a tone language and phonological rules. PMID:21601868

  1. Electrocardiographic predictors of peripartum cardiomyopathy

    PubMed Central

    Karaye, Kamilu M; Karaye, Kamilu M; Lindmark, Krister; Henein, Michael Y; Lindmark, Krister; Henein, Michael Y

    2016-01-01

    Summary Objective To identify potential electrocardiographic predictors of peripartum cardiomyopathy (PPCM). Methods: This was a case–control study carried out in three hospitals in Kano, Nigeria. Logistic regression models and a risk score were developed to determine electrocardiographic predictors of PPCM. Results: A total of 54 PPCM and 77 controls were consecutively recruited after satisfying the inclusion criteria. After controlling for confounding variables, a rise in heart rate of one beat/minute increased the risk of PPCM by 6.4% (p = 0.001), while the presence of ST–T-wave changes increased the odds of PPCM 12.06-fold (p < 0.001). In the patients, QRS duration modestly correlated (r = 0.4; p < 0.003) with left ventricular dimensions and end-systolic volume index, and was responsible for 19.9% of the variability of the latter (R2 = 0.199; p = 0.003). A risk score of ≥ 2, developed by scoring 1 for each of the three ECG disturbances (tachycardia, ST–T-wave abnormalities and QRS duration), had a sensitivity of 85.2%, specificity of 64.9%, negative predictive value of 86.2% and area under the curve of 83.8% (p < 0.0001) for potentially predicting PPCM. Conclusion In postpartum women, using the risk score could help to streamline the diagnosis of PPCM with significant accuracy, prior to confirmatory investigations PMID:27213852

  2. Individual predictors of sensorimotor adaptability

    PubMed Central

    Seidler, Rachael D.; Mulavara, Ajitkumar P.; Bloomberg, Jacob J.; Peters, Brian T.

    2015-01-01

    There are large individual variations in strategies and rates of sensorimotor adaptation to spaceflight. This is seen in both the magnitude of performance disruptions when crewmembers are first exposed to microgravity, and in the rate of re-adaptation when they return to Earth’s gravitational environment. Understanding the sources of this variation can lead to a better understanding of the processes underlying adaptation, as well as provide insight into potential routes for facilitating performance of “slow adapters”. Here we review the literature on brain, behavioral, and genetic predictors of motor learning, recovery of motor function following neural insult, and sensorimotor adaptation. For example, recent studies have identified specific genetic polymorphisms that are associated with faster adaptation on manual joystick tasks and faster recovery of function following a stroke. Moreover, the extent of recruitment of specific brain regions during learning and adaptation has been shown to be predictive of the magnitude of subsequent learning. We close with suggestions for forward work aimed at identifying predictors of spaceflight adaptation success. Identification of “slow adapters” prior to spaceflight exposure would allow for more targeted preflight training and/or provision of booster training and adaptation adjuncts during spaceflight. PMID:26217197

  3. 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. PMID:25536942

  4. Predictors of Transience among Homeless Emerging Adults

    ERIC Educational Resources Information Center

    Ferguson, Kristin M.; Bender, Kimberly; Thompson, Sanna J.

    2014-01-01

    This study identified predictors of transience among homeless emerging adults in three cities. A total of 601 homeless emerging adults from Los Angeles, Austin, and Denver were recruited using purposive sampling. Ordinary least squares regression results revealed that significant predictors of greater transience include White ethnicity, high…

  5. 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…

  6. Interpersonal predictors of stress generation.

    PubMed

    Eberhart, Nicole K; Hammen, Constance L

    2009-05-01

    Hammen (1991) provided evidence for a stress generation process in which individuals with a history of depression contributed to the occurrence of stressors, especially interpersonal and conflict events. However, few studies have examined the factors contributing to stress generation. This study examines aspects of individuals' interpersonal style, operationalized as attachment, dependency, and reassurance seeking, as predictors of conflict stress generation within romantic relationships. These effects were examined both prospectively over a 4-week period and cross-sectionally using a 14-day daily diary in a sample of female college students. Overall, there was significant evidence that interpersonal style contributes to the occurrence of interpersonal stressors. Specifically, anxious attachment and reassurance seeking prospectively predicted romantic conflict stress over a 4-week period, and a variety of interpersonal behaviors were associated with romantic conflict stressors on a daily basis. These results are interpreted in relation to previous literature, and limitations and directions for future research are discussed. PMID:19171775

  7. Personality predictors of driver vengeance.

    PubMed

    Wickens, Christine M; Wiesenthal, David L; Roseborough, James E W

    2015-01-01

    The purpose of this study was to identify personality and individual difference measures related to driver vengeance, as measured by the Driver Vengeance Questionnaire (DVQ; Wiesenthal, Hennessy, & Gibson, 2000). There were 170 undergraduate students who completed paper-and-pencil questionnaires including the DVQ and measures of narcissism, impulsivity, and trait driver stress. A hierarchical linear regressidn predicting DVQ score revealed that being male (β = .25), narcissism (β = .19), and trait driver stress (β = .41) were significantly associated with vengeance. Impulsivity was significant in the third block of the regression but was not a significant predictor of vengeance in the final block. Interactions between gender and the individual difference measures were not significant. The final model accounted for 34% of the variance. Implications of the results and directions for future research are discussed. PMID:25774420

  8. Dosimetric Predictors of Laryngeal Edema

    SciTech Connect

    Sanguineti, Giuseppe . E-mail: gisangui@utmb.edu; Adapala, Prashanth; Endres, Eugene J. C; Brack, Collin; Fiorino, Claudio; Sormani, Maria Pia; Parker, Brent

    2007-07-01

    Purpose: To investigate dosimetric predictors of laryngeal edema after radiotherapy (RT). Methods and Materials: A total of 66 patients were selected who had squamous cell carcinoma of the head and neck with grossly uninvolved larynx at the time of RT, no prior major surgical operation except for neck dissection and tonsillectomy, treatment planning data available for analysis, and at least one fiberoptic examination of the larynx within 2 years from RT performed by a single observer. Both the biologically equivalent mean dose at 2 Gy per fraction and the cumulative biologic dose-volume histogram of the larynx were extracted for each patient. Laryngeal edema was prospectively scored after treatment. Time to endpoint, moderate or worse laryngeal edema (Radiation Therapy Oncology Group Grade 2+), was calculated with log rank test from the date of treatment end. Results: At a median follow-up of 17.1 months (range, 0.4- 50.0 months), the risk of Grade 2+ edema was 58.9% {+-} 7%. Mean dose to the larynx, V30, V40, V50, V60, and V70 were significantly correlated with Grade 2+ edema at univariate analysis. At multivariate analysis, mean laryngeal dose (continuum, hazard ratio, 1.11; 95% confidence interval, 1.06-1.15; p < 0.001), and positive neck stage at RT (N0-x vs. N +, hazard ratio, 3.66; 95% confidence interval, 1.40-9.58; p = 0.008) were the only independent predictors. Further stratification showed that, to minimize the risk of Grade 2+ edema, the mean dose to the larynx has to be kept {<=}43.5 Gy at 2 Gy per fraction. Conclusion: Laryngeal edema is strictly correlated with various dosimetric parameters; mean dose to the larynx should be kept {<=}43.5 Gy.

  9. Optimized Predictors For Data Streams

    NASA Astrophysics Data System (ADS)

    Kwasniok, F.; Smith, L. A.

    An algorithm for optimizing local predictors constructed from data streams is dis- cussed, focusing on questions of efficiency, accuracy, and the duration of observations required for profitable application. Our approach considers the real-time selection of a learning set, extracted from a data source where the sampling rate is so large that re- taining and processing all observations is impractical (i.e. a data stream). Our refined learning set selectively covers those regions of state space which contribute most to the accurate prediction of the underlying dynamical system. The approach of Smith (Phil. Trans. R. Soc. Lond. A 348, 371-381, 1994) is extended to better include noisy observations and the internal consistency of the estimated model. Our approach is contrasted with the traditional algorithms in which the learning set is uniformly dis- tributed with respect to the invariant measure of the system (i.e. 'uniform on the at- tractor', if such a thing exists); the refined data set is adapted to the local curvature and the local data density on the attractor. The method is discussed in the context of local polynomial prediction as well as analogue prediction. It is illustrated on low di- mensional analytical examples; potential geophysical applications (and restrictions) are discussed.

  10. Echocardiographic Predictors of Ventricular Tachycardia

    PubMed Central

    Catanzaro, John N; Makaryus, John N; Makaryus, Amgad N; Sison, Cristina; Vavasis, Christos; Fan, Dali; Jadonath, Ram

    2014-01-01

    BACKGROUND Patients with structural heart disease are prone to ventricular tachycardia (VT) and ventricular fibrillation (VF), which account for the majority of sudden cardiac deaths (SCDs). We sought to examine echocardiographic parameters that can predict VT as documented by implantable cardioverter-defibrillator (ICD) appropriate discharge. We examine echocardiographic parameters other than ejection fraction that may predict VT as recorded via rates of ICD discharge. METHODS Analysis of 586 patients (469 males; mean age = 68 ± 3 years; mean follow-up time of 11 ± 14 months) was undertaken. Echo parameters assessed included left ventricular (LV) internal end diastolic/systolic dimension (LVIDd, LVIDs), relative wall thickness (RWT), and left atrial (LA) size. RESULTS The incidence of VT was 0.22 (114 VT episodes per 528 person-years of follow-up time). Median time-to-first VT was 3.8 years. VT was documented in 79 patients (59 first VT incidence, 20 multiple). The echocardiographic parameter associated with first VT was LVIDs >4 cm (P = 0.02). CONCLUSION The main echocardiographic predictor associated with the first occurrence of VT was LVIDs >4 cm. Patients with an LVIDs >4 cm were 2.5 times more likely to have an episode of VT. Changes in these echocardiographic parameters may warrant aggressive pharmacologic therapy and implantation of an ICD. PMID:25861227

  11. Mechanical Predictors of Discomfort during Load Carriage

    PubMed Central

    Wettenschwiler, Patrick D.; Lorenzetti, Silvio; Stämpfli, Rolf; Rossi, René M.; Ferguson, Stephen J.; Annaheim, Simon

    2015-01-01

    Discomfort during load carriage is a major issue for activities using backpacks (e.g. infantry maneuvers, children carrying school supplies, or outdoor sports). It is currently unclear which mechanical parameters are responsible for subjectively perceived discomfort. The aim of this study was to identify objectively measured mechanical predictors of discomfort during load carriage. We compared twelve different configurations of a typical load carriage system, a commercially available backpack with a hip belt. The pressure distribution under the hip belt and the shoulder strap, as well as the tensile force in the strap and the relative motion of the backpack were measured. Multiple linear regression analyses were conducted to investigate possible predictors of discomfort. The results demonstrate that static peak pressure, or alternatively, static strap force is a significant (p<0.001) predictor of discomfort during load carriage in the shoulder and hip region, accounting for 85% or more of the variation in discomfort. As an additional finding, we discovered that the regression coefficients of these predictors are significantly smaller for the hip than for the shoulder region. As static peak pressure is measured directly on the body, it is less dependent on the type of load carriage system than static strap force. Therefore, static peak pressure is well suited as a generally applicable, objective mechanical parameter for the optimization of load carriage system design. Alternatively, when limited to load carriage systems of the type backpack with hip belt, static strap force is the most valuable predictor of discomfort. The regionally differing regression coefficients of both predictors imply that the hip region is significantly more tolerant than the shoulder region. In order to minimize discomfort, users should be encouraged to shift load from the shoulders to the hip region wherever possible, at the same time likely decreasing the risk of low back pain or injury

  12. Mechanical Predictors of Discomfort during Load Carriage.

    PubMed

    Wettenschwiler, Patrick D; Lorenzetti, Silvio; Stämpfli, Rolf; Rossi, René M; Ferguson, Stephen J; Annaheim, Simon

    2015-01-01

    Discomfort during load carriage is a major issue for activities using backpacks (e.g. infantry maneuvers, children carrying school supplies, or outdoor sports). It is currently unclear which mechanical parameters are responsible for subjectively perceived discomfort. The aim of this study was to identify objectively measured mechanical predictors of discomfort during load carriage. We compared twelve different configurations of a typical load carriage system, a commercially available backpack with a hip belt. The pressure distribution under the hip belt and the shoulder strap, as well as the tensile force in the strap and the relative motion of the backpack were measured. Multiple linear regression analyses were conducted to investigate possible predictors of discomfort. The results demonstrate that static peak pressure, or alternatively, static strap force is a significant (p<0.001) predictor of discomfort during load carriage in the shoulder and hip region, accounting for 85% or more of the variation in discomfort. As an additional finding, we discovered that the regression coefficients of these predictors are significantly smaller for the hip than for the shoulder region. As static peak pressure is measured directly on the body, it is less dependent on the type of load carriage system than static strap force. Therefore, static peak pressure is well suited as a generally applicable, objective mechanical parameter for the optimization of load carriage system design. Alternatively, when limited to load carriage systems of the type backpack with hip belt, static strap force is the most valuable predictor of discomfort. The regionally differing regression coefficients of both predictors imply that the hip region is significantly more tolerant than the shoulder region. In order to minimize discomfort, users should be encouraged to shift load from the shoulders to the hip region wherever possible, at the same time likely decreasing the risk of low back pain or injury

  13. Predictors of Success for Allied Health Students.

    ERIC Educational Resources Information Center

    Jensen, Steven C.

    1989-01-01

    A study of 424 allied health students (259 dental hygiene, 104 radiologic technology, and 61 respiratory therapy) found that the greater predictors of their academic success were the natural science subscore on the American College Test (ACT), high school grade point average, and class rank, age, and composite ACT score. (SK)

  14. Predictors of Undergraduate Student Binge Drinking

    ERIC Educational Resources Information Center

    Strano, Donald A.; Cuomo, Michael J.; Venable, Riley H.

    2004-01-01

    The relative importance of a number of predictors of binge drinking and of high- versus low-frequency binge drinking among undergraduate students was studied. Findings demonstrated that race, class, fraternity or sorority membership, use of other drugs in the past 30 days, positive alcohol expectancies, perception of minimal risk, perception that…

  15. An Analytical Satellite Orbit Predictor (ASOP)

    NASA Technical Reports Server (NTRS)

    Starke, S. E.

    1977-01-01

    The documentation and user's guide for the Analytical Satellite Orbit Predictor (ASOP) computer program is presented. The ASOP is based on mathematical methods that represent a new state-of-the-art for rapid orbit computation techniques. It is intended to be used for computation of near-earth orbits including those of the shuttle/orbiter and its payloads.

  16. Predictors of Arab American Adolescent Tobacco Use

    ERIC Educational Resources Information Center

    Rice, Virginia Hill; Weglicki, Linda S.; Templin, Thomas; Hammad, Adnan; Jamil, Hikmet; Kulwicki, Anahid

    2006-01-01

    This study examined personal, psychosocial, sociocultural, and environmental predictors in tobacco use for 1,671 Arab American adolescents. Cigarette smoking in the past 30 days was 6.9%. This increased from 1% at age 14 to 14% at age 18. Twenty-nine percent of the youths reported having ever smoked cigarettes. Experimentation with narghile was…

  17. Predictors of Success in an Anesthesiology Residency.

    ERIC Educational Resources Information Center

    Warrick, Shirley S.; Crumrine, Robert S.

    1986-01-01

    Factors that contributed to successful residency performance by anesthesiology residents were examined in order to assist the program's selection committee in developing selection criteria. The best predictor of a resident's academic average in the anethesiology program was the number of years the resident had spent in other specialities.…

  18. Trait predictors of placebo responses in itch.

    PubMed

    Darragh, Margot; Booth, Roger J; Consedine, Nathan S

    2016-09-01

    This study investigated trait predictors of placebo responses in the context of inflammatory skin reactions. This was a randomized, cross-over, experimental study using a deceptive placebo protocol. A healthy sample of volunteers (N = 48) completed online personality measures, then attended two laboratory sessions in which short-term inflammatory skin reactions were induced. One was a control session and the other the 'treatment' session in which a placebo cream was administered with the suggestion of a reduced skin reaction. A placebo response was defined as smaller skin reactions in control vs. treatment sessions. The traits ego resiliency and neuroticism were selected as possible predictors of placebo responses. Traits were selected in consideration of the two-faceted transactional model of placebo responsiveness and in light of empirical and psychometric considerations ego resiliency emerged as a consistent predictor of placebo responses in itch (p < .05). This is the first study to identify trait predictors of placebo responses in inflammatory skin reactions. Ego resiliency may typify greater placebo responsiveness; however, this may only be in certain contexts. Matching treatment approaches to bio-behavioural response tendencies may be useful clinically if the placebo component of traditional treatments can be enhanced. PMID:26610165

  19. Economic and Demographic Predictors of Inclusive Education

    ERIC Educational Resources Information Center

    Cosier, Meghan E.; Causton-Theoharis, Julie

    2011-01-01

    This study investigated economic and demographic predictors of levels of inclusion of students with disabilities in 129 school districts. Multiple regression analysis was utilized to address the following research questions: (a) Is there a relationship between economic factors and percentage of highly included students with disabilities in general…

  20. AIDS: Predictors of Safer Sex Practices.

    ERIC Educational Resources Information Center

    Jacobs, John R.; And Others

    This study was conducted to assess the predictors of safe sex practices among a group of college students. Subjects were 261 students attending the evening division of a large urban university campus, 68% of whom were female and 94% of whom reported being heterosexual. The average age of respondents was 26 years. Subjects responded to questions…

  1. Longitudinal Predictors of High School Completion

    ERIC Educational Resources Information Center

    Barry, Melissa; Reschly, Amy L.

    2012-01-01

    This longitudinal study examined predictors of dropout assessed in elementary school. Student demographic data, achievement, attendance, and ratings of behavior from the Behavior Assessment System for Children were used to predict dropout and completion. Two models, which varied on student sex and race, predicted dropout at rates ranging from 75%…

  2. Predictors of Academic Success for Optometry Students

    ERIC Educational Resources Information Center

    Buckingham, Robert S.

    2012-01-01

    Optometry school admissions are very competitive. With more applicants than available slots, admission committees must choose those students whom they feel will be successful graduates. Previous studies in the health profession schools have demonstrated that the predictors of academic achievement are preadmission science grade point average (GPA),…

  3. Predictors of Lithium Response in Bipolar Disorder

    PubMed Central

    Tighe, Sarah K.; Mahon, Pamela B.; Potash, James B.

    2011-01-01

    While lithium is generally regarded as the first-line agent for patients with bipolar disorder, it does not work for everyone, which raises the question: can we predict who will be most likely to respond? In this paper, we review the most compelling clinical, biologic, and genetic predictors of lithium response in bipolar disorder. Among clinical factors, the strongest predictors of good response are fewer hospitalizations preceding treatment, an episodic course characterized by an illness pattern of mania followed by depression, and a later age at onset of bipolar disorder. While several biologic predictors have been studied, the results are preliminary and require replication with studies of larger patient samples over longer observation periods. Neuroimaging is a particularly promising method given that it might concurrently illuminate pathophysiologic underpinnings of bipolar disorder, the mechanism of action of lithium, and potential predictors of lithium response. The first genome-wide association study of lithium response was recently completed. No definitive results emerged, perhaps because the study was underpowered. With major new initiatives in progress aiming to identify genes and genetic variations associated with lithium response, there is much reason to be hopeful that clinically useful information might be generated within the next several years. This could ultimately translate into tests that could guide the choice of mood-stabilizing medication for patients. In addition, it might facilitate pharmacologic research aimed at developing newer, more effective medications that might act more quickly and yield fewer side effects. PMID:23251751

  4. Predictors of Learning from Public Service Announcements.

    ERIC Educational Resources Information Center

    Sun, Hsiu-hui

    A study focused on predictors of people's learning from public service announcements (PSAs) seen on television. Telephone interviews were conducted with 480 adults randomly selected from residents in Dane County, Wisconsin, in October 1987. Typical demographic information was obtained: sex, age, income, occupation and education. Commercial slogans…

  5. IQ and Neuropsychological Predictors of Academic Achievement

    ERIC Educational Resources Information Center

    Mayes, Susan Dickerson; Calhoun, Susan L.; Bixler, Edward O.; Zimmerman, Dennis N.

    2009-01-01

    Word reading and math computation scores were predicted from Wechsler Abbreviated Scale of Intelligence Full Scale IQ, 10 neuropsychological tests, and parent attention deficit hyperactivity disorder (ADHD) ratings in 214 general population elementary school children. IQ was the best single predictor of achievement. In addition, Digit Span…

  6. Verbal and Nonverbal Predictors of Spelling Performance

    ERIC Educational Resources Information Center

    Sadoski, Mark; Willson, Victor L.; Holcomb, Angelia; Boulware-Gooden, Regina

    2005-01-01

    Verbal and nonverbal predictors of spelling performance in Grades 1-12 were investigated using the national norming data from a standardized spelling test. Verbal variables included number of letters, phonemes, syllables, digraphs, blends, silent markers, r-controlled vowels, and the proportion of grapheme-phoneme correspondence. The nonverbal…

  7. Predictors of Homophobia in Female College Students.

    ERIC Educational Resources Information Center

    Basow, Susan A.; Johnson, Kelly

    2000-01-01

    Investigated how self-esteem, self-discrepancy, and gender-attribute importance related to homophobia in predominantly white college women, noting sex role attitudes, authoritarian attitudes, and extent of contact with homosexuals. The only significant predictor of homophobia was authoritarian attitudes. Other correlations included belief in sex…

  8. Multivariate Regression with Block-structured Predictors

    NASA Astrophysics Data System (ADS)

    Ye, Saier

    We study the problem of predicting multiple responses with a common set of predicting variables. Applying generalized Ordinary Least Squares (OLS) criterion on the responses altogether is practically equivalent to OLS estimation on the responses separately. Possible correlations between the response variables are overlooked. In order to take advantage of these interrelationships, Reduced-Rank Regression (RRR) imposes rank constraint on the coefficient matrix. RRR constructs latent factors from the original predicting variables, and the latent factors are the effective predictors. RRR reduces number of parameters to be estimated, and improves estimation efficiency. In the present work, we explore a novel regression model to incorporate "block-structured" predicting variables, where the predictors can be naturally partitioned into several groups or blocks. Variables in the same block share similar characteristics. It is reasonable to assume that in addition to an overall impact, predictors also have block-specific effects on the responses. Furthermore, we impose rank constraints on the coefficient matrices. In our framework, we construct two types of latent factors that drive the variation in the responses. We have joint factors, which are formed by all predictors across all blocks; and individual factors, which are formed by variables within individual blocks. The proposed method exceeds RRR in terms of prediction accuracy and ease of interpretation in the presence of block structure in the predicting variables.

  9. The Offspring of Alcoholics: Outcome Predictors.

    ERIC Educational Resources Information Center

    el-Guebaly, Nady

    1982-01-01

    Reviews risk of psychosocial problems related to drinking among "grown-up" children of alcoholics. Argues that genetic predisposition is best predictor available; this may be more influential near severe end of alcoholism spectrum, may be less influential in females, and may lead to differences in symptomatology and management. (Author/CMG)

  10. Exploring the Psychological Predictors of Programming Achievement

    ERIC Educational Resources Information Center

    Erdogan, Yavuz; Aydin, Emin; Kabaca, Tolga

    2008-01-01

    The main purpose of this study is to explore the predictors of programming achievement. With this aim in mind, the students' success in the programming courses is specified as the dependent variable and creativity, problem solving, general aptitudes, computer attitudes and mathematics achievement are specified as the independent variables. A…

  11. Predictor Variables in Computer Assisted Language Learning.

    ERIC Educational Resources Information Center

    Clark, Stephen K.

    1992-01-01

    Investigates several instruments measuring intelligence and prior conceptual knowledge/achievement to determine how well they predict outcomes in computer assisted language learning. Concludes that a non-verbal intelligence test was a significant predictor, but that prior conceptual knowledge of course content was low. Level of prior achievement…

  12. Violent Behavior in Female Inmates: Possible Predictors

    ERIC Educational Resources Information Center

    Byrd, Patricia M.; Davis, Joanne L.

    2009-01-01

    Research findings have been equivocal regarding the relationship between experiencing trauma and exhibiting violent behavior in women. This study seeks to determine predictors of violent behavior in female inmates utilizing various conceptualizations of traumatic experiences. Results indicate a significant univariate relationship between…

  13. Predictors of posttraumatic stress symptoms following childbirth

    PubMed Central

    2014-01-01

    Background Posttraumatic stress disorder (PTSD) following childbirth has gained growing attention in the recent years. Although a number of predictors for PTSD following childbirth have been identified (e.g., history of sexual trauma, emergency caesarean section, low social support), only very few studies have tested predictors derived from current theoretical models of the disorder. This study first aimed to replicate the association of PTSD symptoms after childbirth with predictors identified in earlier research. Second, cognitive predictors derived from Ehlers and Clark’s (2000) model of PTSD were examined. Methods N = 224 women who had recently given birth completed an online survey. In addition to computing single correlations between PTSD symptom severities and variables of interest, in a hierarchical multiple regression analyses posttraumatic stress symptoms were predicted by (1) prenatal variables, (2) birth-related variables, (3) postnatal social support, and (4) cognitive variables. Results Wellbeing during pregnancy and age were the only prenatal variables contributing significantly to the explanation of PTSD symptoms in the first step of the regression analysis. In the second step, the birth-related variables peritraumatic emotions and wellbeing during childbed significantly increased the explanation of variance. Despite showing significant bivariate correlations, social support entered in the third step did not predict PTSD symptom severities over and above the variables included in the first two steps. However, with the exception of peritraumatic dissociation all cognitive variables emerged as powerful predictors and increased the amount of variance explained from 43% to a total amount of 68%. Conclusions The findings suggest that the prediction of PTSD following childbirth can be improved by focusing on variables derived from a current theoretical model of the disorder. PMID:25026966

  14. Family-Based Predictors of Adolescent Substance Use.

    ERIC Educational Resources Information Center

    Vakalahi, Halaevalu F.

    2002-01-01

    Examines family-based variables as predictors of adolescent substance use. Overall, this study supported prior research, indicating certain family variables as predictors of adolescent substance use. Sibling marijuana use, family involvement, and religious affiliation were predictors of adolescent tobacco use. Family involvement, sibling tobacco…

  15. Age Differences in Demographic Predictors of Retirement Investment Decisions

    ERIC Educational Resources Information Center

    Davis, Guyla D.; Chen, Yiwei

    2008-01-01

    Increased longevity coupled with inadequate savings makes retirement savings and investment research increasingly important. A policy-capturing method was used to examine the relative importance of 6 demographic predictors on the retirement investment decisions of 64 working adults. All predictors were significant predictors of the investment. In…

  16. Praiseworthiness: predictors of positive interpersonal judgments.

    PubMed

    Ogletree, Shirley M; Covington, Jennifer A; Archer, Richard L

    2013-06-01

    Deterministic attitudes, information about a person's background, one's perceived similarity to a target person, and attributions of effort and ability may affect praiseworthiness. Two vignette studies with college student participants were conducted to consider this issue. Based on regression analyses, attributing achievement to effort was the strongest predictor of praiseworthiness across both studies. In addition, evidence for an augmenting effect of an impoverished background on praiseworthiness was found. In the first study, perceived similarity to the target individual and religious-philosophical determinism were also predictors of praiseworthiness, while belief in free will predicted praiseworthiness in the second study. Judgments of praiseworthiness may be tied to a number of factors; among the most important of these are overcoming an impoverished childhood background and the attributed effort required for success. PMID:24245081

  17. Identifying predictors of survey mode preference.

    PubMed

    Smyth, Jolene D; Olson, Kristen; Millar, Morgan M

    2014-11-01

    To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of "preferred" modes to sample members. PMID:25131280

  18. Childhood Predictors of Young Adult Male Crime.

    PubMed

    Ou, Suh-Ruu; Reynolds, Arthur J

    2010-08-01

    The study sample was drawn from the Chicago Longitudinal Study (CLS), an ongoing investigation of a panel of low-income minority children (93% Black) growing up in high-poverty neighborhoods in Chicago. The study sample included 733 males who were active by age 26. Adult criminal records were collected through administrative records and supplemented with self-reports. Outcome measures included incarceration, conviction, and felony conviction by age 26. Probit regression was used to analyze the data. Findings indicated that common childhood predictors were AFDC participation by child's age 3, negative home environment, maltreatment experience, trouble making behavior, and number of school moves. Unique predictors were mother unemployed by child's age 3 for incarceration or jail, four or more children in household by child's age 3 for felony conviction, and mother did not complete high school by child's age 3 and social competence for both incarceration or jail and felony conviction. Implications on crime prevention were discussed. PMID:20657803

  19. Predictors of Microvascular Invasion in Hepatocellular Carcinoma.

    PubMed

    Yamashita, Yo-Ichi; Shirabe, Ken; Aishima, Shinichi; Maehara, Yoshihiko

    2015-09-01

    This chapter covers a range of important topics in the evaluation of the microvascular invasion (MVI) in hepatocellular carcinoma (HCC) before treatment. The malignant potential of HCC is reflected by the types of MVI such as portal venous (vp), hepatic vein (vv) or bile duct (b) infiltration. The identification of the type of MVI in HCC has a key role in decisions regarding the effective treatment of HCC. Here, we describe the possible and important predictors of MVI in HCC. PMID:26398341

  20. Crowdsourcing Novel Childhood Predictors of Adult Obesity

    PubMed Central

    Swain, Robert; Dohle, Simone; Bongard, Josh C.; Hines, Paul D. H.; Wansink, Brian

    2014-01-01

    Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age  =  26.5±6.7; BMI  =  29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children’s lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors. PMID:24505310

  1. An Analytical Satellite Orbit Predictor (ASOP)

    NASA Technical Reports Server (NTRS)

    1979-01-01

    The documentation and user's guide are presented for the analytical satellite orbit predictor computer program which is intended to be used for computation of near-earth orbits including those of the shuttle orbiter and its payloads. The Poincare-Similar elements used make it possible to compute near-earth orbits to within an accuracy of a few meters. Recursive equations are used instead of complicated formulas. Execution time is on the order of a few milliseconds.

  2. Meta-Analyses of Predictors of Hope in Adolescents.

    PubMed

    Yarcheski, Adela; Mahon, Noreen E

    2016-03-01

    The purposes of this study were to identify predictors of hope in the literature reviewed, to use meta-analysis to determine the mean effect size (ES) across studies between each predictor and hope, and to examine four moderators on each predictor-hope relationship. Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for the literature reviewed, 77 published studies or doctoral dissertations completed between 1990 and 2012 met the inclusion criteria. Eleven predictors of hope were identified and each predictor in relation to hope was subjected to meta-analysis. Five predictors (positive affect, life satisfaction, optimism, self-esteem, and social support) of hope had large mean ESs, 1 predictor (depression) had a medium ES, 4 predictors (negative affect, stress, academic achievement, and violence) had small ESs, and 1 predictor (gender) had a trivial ES. Findings are interpreted for the 11 predictors in relation to hope. Limitations and conclusions are addressed; future studies are recommended. PMID:25421543

  3. Predictors of Driving Outcomes in Advancing Age

    PubMed Central

    Emerson, Jamie L.; Johnson, Amy M.; Dawson, Jeffrey D.; Uc, Ergun Y.; Anderson, Steven W.

    2012-01-01

    This study aimed to develop predictive models for real-life driving outcomes in older drivers. Demographics, driving history, on-road driving errors, and performance on visual, motor, and neuropsychological test scores at baseline were assessed in 100 older drivers (ages 65–89 years [72.7]). These variables were used to predict time to driving cessation, first moving violation, or crash. Using Cox proportional hazards regression models, significant individual predictors for driving cessation were greater age and poorer scores on Near Visual Acuity, Contrast Sensitivity, Useful Field of View, Judgment of Line Orientation, Trail Making Test-Part A, Benton Visual Retention Test, Grooved Pegboard, and a composite index of overall cognitive ability. Greater weekly mileage, higher education, and “serious” on-road errors predicted moving violations. Poorer scores from Trail Making Test-Part B or Trail Making Test (B-A) and serious on-road errors predicted crashes. Multivariate models using “off-road” predictors revealed (1) age and Contrast Sensitivity as best predictors for driving cessation; (2) education, weekly mileage, and Auditory Verbal Learning Task-Recall for moving violations; and (3) education, number of crashes over the past year, Auditory Verbal Learning Task-Recall, and Trail Making Test (B-A) for crashes. Diminished visual, motor, and cognitive abilities in older drivers can be easily and noninvasively monitored with standardized off-road tests, and performances on these measures predict involvement in motor vehicle crashes and driving cessation, even in the absence of a neurological disorder. PMID:22182364

  4. Social network predictors of latrine ownership.

    PubMed

    Shakya, Holly B; Christakis, Nicholas A; Fowler, James H

    2015-01-01

    Poor sanitation, including the lack of clean functioning toilets, is a major factor contributing to morbidity and mortality from infectious diseases in the developing world. We examine correlates of latrine ownership in rural India with a focus on social network predictors. Participants from 75 villages provided the names of their social contacts as well as their own relevant demographic and household characteristics. Using these measures, we test whether the latrine ownership of an individual's social contacts is a significant predictor of individual latrine ownership. We also investigate whether network centrality significantly predicts latrine ownership, and if so, whether it moderates the relationship between the latrine ownership of the individual and that of her social contacts. Our results show that, controlling for the standard predictors of latrine ownership such as caste, education, and income, individuals are more likely to own latrines if their social contacts own latrines. Interaction models suggest that this relationship is stronger among those of the same caste, the same education, and those with stronger social ties. We also find that more central individuals are more likely to own latrines, but the correlation in latrine ownership between social contacts is strongest among individuals on the periphery of the network. Although more data is needed to determine how much the clustering of latrine ownership may be caused by social influence, the results here suggest that interventions designed to promote latrine ownership should consider focusing on those at the periphery of the network. The reason is that they are 1) less likely to own latrines and 2) more likely to exhibit the same behavior as their social contacts, possibly as a result of the spread of latrine adoption from one person to another. PMID:24726688

  5. Predictors of Mortality in Paediatric Myocarditis

    PubMed Central

    Ansari, Mohammed Junaid; Mittal, Mahima; Kushwaha, K.P.

    2016-01-01

    Introduction Paediatric myocarditis can present as mild flu like symptoms to fulminent form. Early identification of the severity of illness and prioritization of intensive care is helpful especially in developing countries with limited resources. Aim To know the factors at admission that can predict mortality in paediatric myocarditis. Materials and Methods This was an observational study which enrolled children who presented with fever of acute onset (less than 15 days in duration), and were diagnosed as suspected myocarditis on the basis of clinical features, Troponin I and echocardiography, according to Expanded criteria for myocarditis in Paediatric ward at our institute over a period from August 2014 to December 2015. Their clinical features, cardiac biomarkers and echocardiography findings were compared between survivors and non-survivors. Statistical Analysis All statistical analysis was done using graphpad Prism 5 and SPSS statistical software. A Fisher exact p-value <0.05 was regarded as significant. Multivariate Logistic Regression was carried out to quantify the relationship between cardiac death and other predictor variables. The logistic coefficients for the predictor variables and their exponents, that is, log odds were calculated. Statistical significance of these predictor variables was interpreted by p-values. Results A 17.7% (n=11/62) patients of paediatric myocarditis died in this study. New York Heart Association (NYHA) class IV dyspnea (p=0.0115) and hypotension (p=0.0174) were more in patients who did not survive. The mean value of Troponin I was more in the non-survivor group (0.958 ± 1.13ng/ml); (p=0.0074). More number of patients who died had Brain Natriuretic Peptide (BNP) levels increased in their plasma (p=0.0087) with higher mean value (p=0.0175). LV ejection fraction was decreased markedly in non survivor group with mean value of 37±8.09 % as compared to survivor group with mean value of 46.6±10.5%, (p=0.0115). On multivariate

  6. Predictors of Neurocognitive Syndromes in Combat Veterans.

    PubMed

    Roy, Michael J; Costanzo, Michelle; Gill, Jessica; Leaman, Suzanne; Law, Wendy; Ndiongue, Rochelle; Taylor, Patricia; Kim, Hyung-Suk; Bieler, Gayle S; Garge, Nikhil; Rapp, Paul E; Keyser, David; Nathan, Dominic; Xydakis, Michael; Pham, Dzung; Wassermann, Eric

    2015-07-01

    Traumatic brain injury, depression and posttraumatic stress disorder (PTSD) are neurocognitive syndromes often associated with impairment of physical and mental health, as well as functional status. These syndromes are also frequent in military service members (SMs) after combat, although their presentation is often delayed until months after their return. The objective of this prospective cohort study was the identification of independent predictors of neurocognitive syndromes upon return from deployment could facilitate early intervention to prevent disability. We completed a comprehensive baseline assessment, followed by serial evaluations at three, six, and 12 months, to assess for new-onset PTSD, depression, or postconcussive syndrome (PCS) in order to identify baseline factors most strongly associated with subsequent neurocognitive syndromes. On serial follow-up, seven participants developed at least one neurocognitive syndrome: five with PTSD, one with depression and PTSD, and one with PCS. On univariate analysis, 60 items were associated with syndrome development at p < 0.15. Decision trees and ensemble tree multivariate models yielded four common independent predictors of PTSD: right superior longitudinal fasciculus tract volume on MRI; resting state connectivity between the right amygdala and left superior temporal gyrus (BA41/42) on functional MRI; and single nucleotide polymorphisms in the genes coding for myelin basic protein as well as brain-derived neurotrophic factor. Our findings require follow-up studies with greater sample size and suggest that neuroimaging and molecular biomarkers may help distinguish those at high risk for post-deployment neurocognitive syndromes. PMID:26251769

  7. Predictors of condom use among Mexican adolescents.

    PubMed

    Alvarez, Carmen; Villarruel, Antonia M; Zhou, Yan; Gallegos, Esther

    2010-01-01

    Mexican adolescents continue to be at increased risk for HIV infection due to inconsistent condom use. The purpose of this study was to identify predictors of condom use intentions and condom use among Mexican adolescents who participated in a randomized control trial designed to test a sexual-risk reduction intervention. Data from sexually active adolescents 17 to 21 years (n = 157) of age who were assigned to the control group were analyzed 48 months post intervention. Regression analysis showed that positive attitudes toward condoms, subjective norms, and control beliefs significantly explained intention to use condoms (R2 = .75, p < .001). Attitudes toward condoms (beta = .67, p <.001), technical skills (beta = .13, p = .01), and condom use self-efficacy (beta = .24, p < .001) were significant predictors of condom use intention. Compared to those who inconsistently used condoms, adolescents who used condoms consistently had greater intention to use condoms and greater impulse control. Findings suggest that attitudes and control beliefs should be further explored with Mexican adolescents in order to support consistent condom use. PMID:20949835

  8. Predictors of Neurocognitive Syndromes in Combat Veterans

    PubMed Central

    Roy, Michael J; Gill, Jessica; Leaman, Suzanne; Law, Wendy; Ndiongue, Rochelle; Taylor, Patricia; Kim, Hyung-Suk; Bieler, Gayle S; Garge, Nikhil; Rapp, Paul E; Keyser, David; Nathan, Dominic; Xydakis, Michael; Pham, Dzung; Wassermann, Eric

    2015-01-01

    Traumatic brain injury, depression and posttraumatic stress disorder (PTSD) are neurocognitive syndromes often associated with impairment of physical and mental health, as well as functional status. These syndromes are also frequent in military service members (SMs) after combat, although their presentation is often delayed until months after their return. The objective of this prospective cohort study was the identification of independent predictors of neurocognitive syndromes upon return from deployment could facilitate early intervention to prevent disability. We completed a comprehensive baseline assessment, followed by serial evaluations at three, six, and 12 months, to assess for new-onset PTSD, depression, or postconcussive syndrome (PCS) in order to identify baseline factors most strongly associated with subsequent neurocognitive syndromes. On serial follow-up, seven participants developed at least one neurocognitive syndrome: five with PTSD, one with depression and PTSD, and one with PCS. On univariate analysis, 60 items were associated with syndrome development at p < 0.15. Decision trees and ensemble tree multivariate models yielded four common independent predictors of PTSD: right superior longitudinal fasciculus tract volume on MRI; resting state connectivity between the right amygdala and left superior temporal gyrus (BA41/42) on functional MRI; and single nucleotide polymorphisms in the genes coding for myelin basic protein as well as brain-derived neurotrophic factor. Our findings require follow-up studies with greater sample size and suggest that neuroimaging and molecular biomarkers may help distinguish those at high risk for post-deployment neurocognitive syndromes. PMID:26251769

  9. Predictors of Mortality in Staphylococcus aureus Bacteremia

    PubMed Central

    Jensen, Slade O.; Vaska, Vikram L.; Espedido, Björn A.; Paterson, David L.; Gosbell, Iain B.

    2012-01-01

    Summary: Staphylococcus aureus bacteremia (SAB) is an important infection with an incidence rate ranging from 20 to 50 cases/100,000 population per year. Between 10% and 30% of these patients will die from SAB. Comparatively, this accounts for a greater number of deaths than for AIDS, tuberculosis, and viral hepatitis combined. Multiple factors influence outcomes for SAB patients. The most consistent predictor of mortality is age, with older patients being twice as likely to die. Except for the presence of comorbidities, the impacts of other host factors, including gender, ethnicity, socioeconomic status, and immune status, are unclear. Pathogen-host interactions, especially the presence of shock and the source of SAB, are strong predictors of outcomes. Although antibiotic resistance may be associated with increased mortality, questions remain as to whether this reflects pathogen-specific factors or poorer responses to antibiotic therapy, namely, vancomycin. Optimal management relies on starting appropriate antibiotics in a timely fashion, resulting in improved outcomes for certain patient subgroups. The roles of surgery and infectious disease consultations require further study. Although the rate of mortality from SAB is declining, it remains high. Future international collaborative studies are required to tease out the relative contributions of various factors to mortality, which would enable the optimization of SAB management and patient outcomes. PMID:22491776

  10. Longitudinal Predictors of Institutionalization in Old Age

    PubMed Central

    Hajek, André; Brettschneider, Christian; Lange, Carolin; Posselt, Tina; Wiese, Birgitt; Steinmann, Susanne; Weyerer, Siegfried; Werle, Jochen; Pentzek, Michael; Fuchs, Angela; Stein, Janine; Luck, Tobias; Bickel, Horst; Mösch, Edelgard; Wagner, Michael; Jessen, Frank; Maier, Wolfgang; Scherer, Martin

    2015-01-01

    Objective To investigate time-dependent predictors of institutionalization in old age using a longitudinal approach. Methods In a representative survey of the German general population aged 75 years and older predictors of institutionalization were observed every 1.5 years over six waves. Conditional fixed-effects logistic regressions (with 201 individuals and 960 observations) were performed to estimate the effects of marital status, depression, dementia, and physical impairments (mobility, hearing and visual impairments) on the risk of admission to old-age home or nursing home. By exploiting the longitudinal data structure using panel econometric models, we were able to control for unobserved heterogeneity such as genetic predisposition and personality traits. Results The probability of institutionalization increased significantly with occurrence of widowhood, depression, dementia, as well as walking and hearing impairments. In particular, the occurrence of widowhood (OR = 78.3), dementia (OR = 154.1) and substantial mobility impairment (OR = 36.7) were strongly associated with institutionalization. Conclusion Findings underline the strong influence of loss of spouse as well as dementia on institutionalization. This is relevant as the number of old people (a) living alone and (b) suffering from dementia is expected to increase rapidly in the next decades. Consequently, it is supposed that the demand for institutionalization among the elderly will increase considerably. Practitioners as well as policy makers should be aware of these upcoming challenges. PMID:26658776

  11. PRECONCEPTION PREDICTORS OF WEIGHT GAIN DURING PREGNANCY

    PubMed Central

    Weisman, Carol S.; Hillemeier, Marianne M.; Downs, Danielle Symons; Chuang, Cynthia H.; Dyer, Anne-Marie

    2010-01-01

    Objectives We examined preconception (prepregnancy) predictors of pregnancy weight gain and weight gain that exceeds the 2009 Institute of Medicine (IOM) recommendations based on pre-pregnancy body mass index (BMI), in a prospective study. Methods Data are from a population-based cohort study of 1,420 women who were interviewed at baseline and 2 years later. The analytic sample includes 103 women who were not pregnant at baseline and gave birth to full-term singletons during the follow-up period. Preconception maternal weight category as well as health behaviors, psychosocial stress, parity, and age were examined as predictors of pregnancy weight gain and of weight gain in excess of the IOM recommendations using multiple linear and logistic regression analysis. Results Pregnancy weight gain averaged 33.01 pounds, with 51% of women gaining weight in excess of the 2009 IOM recommendations for their preconception weight category. Preconception overweight (BMI = 25–29.9) increased the odds of excessive pregnancy weight gain nearly threefold, whereas preconception physical activity levels meeting activity guidelines reduced the odds of excessive weight gain but was marginally statistically significant. Conclusion Although future research examining the role of physical activity in relation to pregnancy weight gain is needed, preconception overweight and physical activity levels are prime targets for interventions to avoid excessive pregnancy weight gain. PMID:20133152

  12. Predictors of Generalized Anxiety Disorder stigma.

    PubMed

    Batterham, Philip J; Griffiths, Kathleen M; Barney, Lisa J; Parsons, Alison

    2013-04-30

    The stigma associated with mental illness can lead to a range of negative outcomes, including delaying or avoiding help seeking. Identifying the characteristics of people who are more likely to hold stigmatizing attitudes enables the development of targeted stigma reduction programs. However, no previous research has systematically examined the predictors of anxiety stigma. This study used the Generalized Anxiety Stigma Scale (GASS) to assess the predictors of personal stigma and perceived stigma associated with Generalized Anxiety Disorder. A community sample of 617 Australian adults completed a survey that included the GASS, the Depression Stigma Scale, exposure to anxiety disorders, emotional distress and a range of demographic characteristics. Linear regression models indicated that women, people with greater exposure to anxiety disorders and people reporting a previous anxiety diagnosis had lower personal stigma toward anxiety. Higher exposure to anxiety disorders and rurality were significantly associated with higher perceived anxiety stigma. Results also suggested that respondents who had only been exposed to anxiety disorders through the media tended to be no more stigmatizing than respondents who had direct contact with people with an anxiety disorder. Media campaigns may be an effective vehicle for decreasing stigmatizing views in the community. PMID:23218916

  13. Predictors of Genital Pain in Young Women

    PubMed Central

    Farmer, Melissa A.; Meston, Cindy M.

    2010-01-01

    Despite the high prevalence of genital pain in healthy young adult women, limited research has addressed genital pain during intercourse using contemporary models of multidimensional sexual function. The objectives of this study were threefold: (1) to identify differences in sexual functioning in women who experience genital pain compared to pain free women; (2) to identify predictors of sexual functioning in women with and without genital pain; and (3) to identify predictors of sexual satisfaction in women with and without genital pain. Sexually active female undergraduates (n = 651) were administered the Female Sexual Function Index and the Derogatis Sexual Functioning Inventory. We evaluated the sexual factors that impact the sexual function of women with any pain (including high and low pain groups) versus women with no history of pain. Women with genital pain reported greater rates of sexual dysfunction as compared to pain-free women; however, sexual functioning in the high versus low pain groups was distinguished primarily by vaginal lubrication. Women in the high pain group showed negative correlations between domains of sexual satisfaction and genital pain frequency and intensity that were not found in the low pain group. For pain-free women, intercourse played a strong role in sexual satisfaction, whereas non-intercourse sexual behavior was central to sexual satisfaction in women who reported pain. The evaluation of levels of genital pain may provide insight into the mechanisms underlying the impairment of sexual function, sexual behavior, and sexual satisfaction. PMID:17674182

  14. Predictors of Condom Use Among Mexican Adolescents

    PubMed Central

    Alvarez, Carmen; Villarruel, Antonia M.; Zhou, Yan; Gallegos, Esther

    2012-01-01

    Mexican adolescents continue to be at increased risk for HIV infection due to inconsistent condom use. The purpose of this study was to identify predictors of condom use intentions and condom use among Mexican adolescents who participated in a randomized control trial designed to test a sexual-risk reduction intervention. Data from sexually active adolescents 17 to 21 years (n = 157) of age who were assigned to the control group were analyzed 48 months post intervention. Regression analysis showed that positive attitudes toward condoms, subjective norms, and control beliefs significantly explained intention to use condoms (R2 = .75, p < .001). Attitudes toward condoms (β = .67, p < .001), technical skills (β = .13, p = .01), and condom use self-efficacy (β = .24, p < .001) were significant predictors of condom use intention. Compared to those who inconsistently used condoms, adolescents who used condoms consistently had greater intention to use condoms and greater impulse control. Findings suggest that attitudes and control beliefs should be further explored with Mexican adolescents in order to support consistent condom use. PMID:20949835

  15. Predictors of Service Utilization among Youth Diagnosed with Mood Disorders

    ERIC Educational Resources Information Center

    Mendenhall, Amy N.

    2012-01-01

    In this study, I investigated patterns and predictors of service utilization for children with mood disorders. The Behavioral Model for Health Care Utilization was used as an organizing framework for identifying predictors of the number and quality of services utilized. Hierarchical regression was used in secondary data analyses of the…

  16. An Effect Size for Regression Predictors in Meta-Analysis

    ERIC Educational Resources Information Center

    Aloe, Ariel M.; Becker, Betsy Jane

    2012-01-01

    A new effect size representing the predictive power of an independent variable from a multiple regression model is presented. The index, denoted as r[subscript sp], is the semipartial correlation of the predictor with the outcome of interest. This effect size can be computed when multiple predictor variables are included in the regression model…

  17. Predictors of Performance on National Board Examinations Part II.

    ERIC Educational Resources Information Center

    Beard, Michael W.

    1984-01-01

    In an investigation of the predictors of success on the dental National Board Examinations Part II, three studies were undertaken to test (1) the factual validity of a mock examination, (2) the usefulness of the mock examination as a predictor of board examination success, and (3) whether the third cross-validated the previous findings. (MSE)

  18. Predictors of Outcomes in a Performance Ladder Program.

    ERIC Educational Resources Information Center

    Dicks, Robert H.; McHenry, James D.

    1985-01-01

    Investigated variables from initial inmate evaluations at a state penitentiary as predictors of inmate success in behavioral ladder program. Results indicated that academic test variables were best predictors of overall success level, attitudes, and work habits. Personality variables and one interview observation variable were also found to be…

  19. Predictors of Complicated Grief: A Systematic Review of Empirical Studies

    ERIC Educational Resources Information Center

    Lobb, Elizabeth A.; Kristjanson, Linda J.; Aoun, Samar M.; Monterosso, Leanne; Halkett, Georgia K. B.; Davies, Anna

    2010-01-01

    A systematic review of the literature on predictors of complicated grief (CG) was undertaken with the aim of clarifying the current knowledge and to inform future planning and work in CG following bereavement. Predictors of CG prior to the death include previous loss, exposure to trauma, a previous psychiatric history, attachment style, and the…

  20. 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…

  1. Predictors of Sleep Quantity and Quality in College Students

    ERIC Educational Resources Information Center

    Davidson, Eric S.

    2012-01-01

    Whereas sleep is often thought of as a common health issue among college students, few, if any, researchers have comprehensively evaluated correlates and predictors of sleep quality and quantity within this population. Most often, studies of this type are used by researchers to assess particular categories of correlates and predictors (e.g.,…

  2. Psychological Predictors of Anabolic Steroid Use: An Exploratory Study.

    ERIC Educational Resources Information Center

    Schwerin, Michael J.; Corcoran, Kevin J.; LaFleur, Bonnie J.; Fisher, Leslee; Patterson, David; Olrich, Tracy

    1997-01-01

    Examined social physique anxiety, upper body esteem, social anxiety, and body dissatisfaction as possible predictors of anabolic steroid (AS) use. Results based on 185 AS-using bodybuilders and various control groups indicated that the upper body strength subscale of two measures, along with age, were significant predictors of AS use. (RJM)

  3. Preschool Predictors of Narrative Writing Skills in Elementary School Children

    ERIC Educational Resources Information Center

    Hooper, Stephen R.; Roberts, Joanne E.; Nelson, Lauren; Zeisel, Susan; Kasambira Fannin, Danai

    2010-01-01

    This study examined the preschool predictors of elementary school narrative writing skills. The sample included 65 typically developing African American children, ranging in age from 5.0 to 5.5 years, and was 44.6% male. Targeted preschool predictors included measures of phonological processing, core language abilities, prereading skills, and…

  4. Predictors of Anxiety and Depression in Taiwanese Secondary Students.

    ERIC Educational Resources Information Center

    Hong, Zuway-R; Veach, Patricia McCarthy; Lawrenz, Frances

    This study investigated significant predictors of anxiety and depression in Taiwanese secondary students and the different functions of these predictors. Surveys were completed by 1,672 senior high school students in Taiwan. As part of a larger study, these students completed the Secondary Student Questionnaire (SSQ), an instrument developed by…

  5. Predictors of Metastatic Disease After Prostate Brachytherapy

    SciTech Connect

    Forsythe, Kevin; Burri, Ryan; Stone, Nelson; Stock, Richard G.

    2012-06-01

    Purpose: To identify predictors of metastatic disease after brachytherapy treatment for prostate cancer. Methods and Materials: All patients who received either brachytherapy alone (implant) or brachytherapy in combination with external beam radiation therapy for treatment of localized prostate cancer at The Mount Sinai Hospital between June 1990 and March 2007 with a minimum follow-up of 2 years were included. Univariate and multivariable analyses were performed on the following variables: risk group, Gleason score (GS), clinical T stage, pretreatment prostate-specific antigen level, post-treatment prostate-specific antigen doubling time (PSA-DT), treatment type (implant vs. implant plus external beam radiation therapy), treatment era, total biological effective dose, use of androgen deprivation therapy, age at diagnosis, and race. PSA-DT was analyzed in the following ordinate groups: 0 to 90 days, 91 to 180 days, 180 to 360 days, and greater than 360 days. Results: We included 1,887 patients in this study. Metastases developed in 47 of these patients. The 10-year freedom from distant metastasis (FFDM) rate for the entire population was 95.1%. Median follow-up was 6 years (range, 2-15 years). The only two significant predictors of metastatic disease by multivariable analyses were GS and PSA-DT (p < 0.001 for both variables). Estimated 10-year FFDM rates for GS of 6 or less, GS of 7, and GS of 8 or greater were 97.9%, 94.3%, and 76.1%, respectively (p < 0.001). Estimated FFDM rates for PSA-DT of 0 to 90 days, 91 to 180 days, 181 to 360 days, and greater than 360 days were 17.5%, 67.9%, 74%, and 94.8%, respectively (p < 0.001). Estimated 10-year FFDM rates for the low-, intermediate-, and high-risk groups were 98.6%, 96.2%, and 86.7%, respectively. A demographic shift to patients presenting with higher-grade disease in more recent years was observed. Conclusions: GS and post-treatment PSA-DT are both statistically significant independent predictors of metastatic

  6. Cognitive bias and irrational belief as predictors of avoidance.

    PubMed

    Warren, R; Zgourides, G; Jones, A

    1989-01-01

    Cognitive bias, i.e. overestimates of subjective probability and cost of catastrophic events, and irrational belief were explored as predictors of avoidance. Three groups-anxiety disordered clients, a mixed group of clinic outpatients, and normals--were administered several self-report inventories. Multiple regression analyses were used to investigate a modified version of the Agoraphobic Cognitions Questionnaire, the Belief Scale, and the Body Sensations Questionnaire as predictors of avoidance, as measured by the Mobility Inventory. It was hypothesized that frequency x probability x cost of catastrophic cognitions (and the occurrence of the events they represent) would be a better predictor of avoidance than frequency alone. It was also hypothesized that irrational thinking would be a significant predictor of avoidance. The results generally supported the hypotheses, with subjective probability emerging as a particularly potent predictor of avoidance. Theoretical and clinical implications are discussed. PMID:2930444

  7. The development of a Kalman filter clock predictor

    NASA Technical Reports Server (NTRS)

    Davis, John A.; Greenhall, Charles A.; Boudjemaa, Redoane

    2005-01-01

    A Kalman filter based clock predictor is developed, and its performance evaluated using both simulated and real data. The clock predictor is shown to possess a neat to optimal Prediction Error Variance (PEV) when the underlying noise consists of one of the power law noise processes commonly encountered in time and frequency measurements. The predictor's performance is the presence of multiple noise processes is also examined. The relationship between the PEV obtained in the presence of multiple noise processes and those obtained for the individual component noise processes is examined. Comparisons are made with a simple linear clock predictor. The clock predictor is used to predict future values of the time offset between pairs of NPL's active hydrogen masers.

  8. Autoencoder-based identification of predictors of Indian monsoon

    NASA Astrophysics Data System (ADS)

    Saha, Moumita; Mitra, Pabitra; Nanjundiah, Ravi S.

    2016-02-01

    Prediction of Indian summer monsoon uses a number of climatic variables that are historically known to provide a high skill. However, relationships between predictors and predictand could be complex and also change with time. The present work attempts to use a machine learning technique to identify new predictors for forecasting the Indian monsoon. A neural network-based non-linear dimensionality reduction technique, namely, the sparse autoencoder is used for this purpose. It extracts a number of new predictors that have prediction skills higher than the existing ones. Two non-linear ensemble prediction models of regression tree and bagged decision tree are designed with identified monsoon predictors and are shown to be superior in terms of prediction accuracy. Proposed model shows mean absolute error of 4.5 % in predicting the Indian summer monsoon rainfall. Lastly, geographical distribution of the new monsoon predictors and their characteristics are discussed.

  9. Heteroscedasticity generated by errors in predictors

    SciTech Connect

    Downing, D.J.; Fedorov, V.V.; Nanstad, R.K.

    1995-11-01

    The heteroscedasticity or changing variance observed ``raw`` data may be the result of randomness or uncertainty in the predictor variables. As an example we consider ``Charpy Test`` experiments widely used to characterize the ductile-brittle toughness of steels such as those used for nuclear pressure vessels. While this type of experiment is of interest in itself, our main objective is to show that the use of a proper statistical technique may help to avoid the use of more complicated physical models to explain the heteroscedasticity of the observations. We also extend the existing method of regression analysis with errors in controllable variables to the case when the variances of the response and the controllable variables are both unknown.

  10. LACIE performance predictor FOC users manual

    NASA Technical Reports Server (NTRS)

    1976-01-01

    The LACIE Performance Predictor (LPP) is a computer simulation of the LACIE process for predicting worldwide wheat production. The simulation provides for the introduction of various errors into the system and provides estimates based on these errors, thus allowing the user to determine the impact of selected error sources. The FOC LPP simulates the acquisition of the sample segment data by the LANDSAT Satellite (DAPTS), the classification of the agricultural area within the sample segment (CAMS), the estimation of the wheat yield (YES), and the production estimation and aggregation (CAS). These elements include data acquisition characteristics, environmental conditions, classification algorithms, the LACIE aggregation and data adjustment procedures. The operational structure for simulating these elements consists of the following key programs: (1) LACIE Utility Maintenance Process, (2) System Error Executive, (3) Ephemeris Generator, (4) Access Generator, (5) Acquisition Selector, (6) LACIE Error Model (LEM), and (7) Post Processor.

  11. Design of the hybrid automated reliability predictor

    NASA Technical Reports Server (NTRS)

    Geist, R.; Trivedi, K.; Dugan, J. B.; Smotherman, M.

    1983-01-01

    The design of the Hybrid Automated Reliability Predictor (HARP), now under development at Duke University, is presented. The HARP approach to reliability prediction is characterized by a decomposition of the overall model into fault-occurrence and fault-handling sub-models. The fault-occurrence model is a non-homogeneous Markov chain which is solved analytically, while the fault-handling model is a Petri Net which is simulated. HARP provides automated analysis of sensitivity to uncertainties in the input parameters and in the initial state specifications. It then produces a predicted reliability band as a function of mission time, as well as estimates of the improvement (narrowing of the band) to be gained by a specified amount of reduction in uncertainty.

  12. Neuroplasticity and Predictors of Alcohol Recovery

    PubMed Central

    Seo, Dongju; Sinha, Rajita

    2015-01-01

    Chronic alcohol-related neuroadaptations in key neural circuits of emotional and cognitive control play a critical role in the development of, and recovery from, alcoholism. Converging evidence in the neurobiological literature indicates that neuroplastic changes in the prefrontal–striatal–limbic circuit, which governs emotion regulation and decisionmaking and controls physiological responses in the autonomic nervous system and hypothalamic–pituitary–adrenal axis system, contribute to chronic alcoholism and also are significant predictors of relapse and recovery. This paper reviews recent evidence on the neuroplasticity associated with alcoholism in humans, including acute and chronic effects, and how these neurobiological adaptations contribute to alcohol recovery, along with the discussion of relevant clinical implications and future research directions. PMID:26259094

  13. Predictors of telomere content in dragon lizards

    NASA Astrophysics Data System (ADS)

    Ballen, Cissy; Healey, Mo; Wilson, Mark; Tobler, Michael; Olsson, Mats

    2012-08-01

    Telomeres shorten as a consequence of DNA replication, in particular in cells with low production of telomerase and perhaps in response to physiological stress from exposure to reactive oxygen species, such as superoxide. This process of telomere attrition is countered by innate antioxidation, such as via the production of superoxide dismutase. We studied the inheritance of telomere length in the Australian painted dragon lizard ( Ctenophorus pictus) and the extent to which telomere length covaries with mass-corrected maternal reproductive investment, which reflects the level of circulating yolk precursor and antioxidant, vitellogenin. Our predictors of offspring telomere length explained 72 % of telomere variation (including interstitial telomeres if such are present). Maternal telomere length and reproductive investment were positively influencing offspring telomere length in our analyses, whereas flow cytometry-estimated superoxide level was negatively impacting offspring telomere length. We suggest that the effects of superoxide on hatchling telomere shortening may be partly balanced by transgenerational effects of vitellogenin antioxidation.

  14. Stable LPV realisation of the Smith predictor

    NASA Astrophysics Data System (ADS)

    Blanchini, Franco; Casagrande, Daniele; Miani, Stefano; Viaro, Umberto

    2016-07-01

    The paper is concerned with the control of a linear plant with an output delay. As is known, when the plant parameters do not vary in time, the transfer function approach can be used to find a high-performing controller with the Smith-predictor structure. Such an approach in the domain of the Laplace transform is not directly applicable in the time-variant case. Nevertheless, it is shown that the transfer function of the Smith controller valid for constant values of the parameters can be realised in such a way that closed-loop stability, as well as point-wise optimal performance, is ensured also when the parameters vary with time. The suggested technique is applied to the control of a heat exchanger whose varying parameters include a measurement delay.

  15. Multiple predictor smoothing methods for sensitivity analysis.

    SciTech Connect

    Helton, Jon Craig; Storlie, Curtis B.

    2006-08-01

    The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described: (1) locally weighted regression (LOESS), (2) additive models, (3) projection pursuit regression, and (4) recursive partitioning regression. The indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present.

  16. Evaluation of bedform predictors in tidal environments

    NASA Astrophysics Data System (ADS)

    Ferret, Y.; Ernstsen, V.; Lefebvre, A.; Winter, C.

    2012-04-01

    The seabed of coastal environments commonly exhibits a large range of complex mobile bedforms due to the interaction between hydrodynamics and sediment transport. Yet, no fundamental law has been identified which describes the initiation and development of these ubiquitous, flow and wave driven features. Thus, the prediction of bedform dimensions and dynamics is carried out using empirical relationships. In this study we evaluate some of these equations, based on a large data set consisting of high resolution multi-beam bathymetry, modelled hydrodynamics and sediment characteristics collected in the Jade Bay, and the Weser and the Elbe estuaries (German Bight, North Sea). More than 2000 individual bedforms were identified; they display a wide range of dimensions with heights ranging from 0.1 to 5 m and wavelengths between 10 and 300 m. They were used to test the classical relationships of Flemming (1988) and Francken et al. (2004) for the interdependency of length and height of individual bedforms. Taking into account all the data resulted in a large scatter, with weak correlations of averaged measured and predicted parameters (bedform height and length). However, applying a generalized extreme value method (which weights the Gaussian distribution of bedform height with the maximum frequency for every measured bedform length) in order to get the maximum density of bedform height, a strong dependency was identified (r2 = 0.76). Furthermore predictor equations that relate equilibrium flow and sediment characteristics to bedform dimensions and hydraulic roughness were tested (e.g. Yalin, 1964; Van Rijn, 1984). Results showed a significant scatter and limited reliability. Statistical analyses were used to accurately quantify the influence of the physical environment (depth, current velocity, grain size) on bedform morphologies in order to enhance the bedform predictors.

  17. Predictors and prevention of diabetic cardiomyopathy

    PubMed Central

    Chavali, Vishalakshi; Tyagi, Suresh C; Mishra, Paras K

    2013-01-01

    Despite our cognizance that diabetes can enhance the chances of heart failure, causes multiorgan failure,and contributes to morbidity and mortality, it is rapidly increasing menace worldwide. Less attention has been paid to alert prediabetics through determining the comprehensive predictors of diabetic cardiomyopathy (DCM) and ameliorating DCM using novel approaches. DCM is recognized as asymptomatic progressing structural and functional remodeling in the heart of diabetics, in the absence of coronary atherosclerosis and hypertension. The three major stages of DCM are: (1) early stage, where cellular and metabolic changes occur without obvious systolic dysfunction; (2) middle stage, which is characterized by increased apoptosis, a slight increase in left ventricular size, and diastolic dysfunction and where ejection fraction (EF) is <50%; and (3) late stage, which is characterized by alteration in microvasculature compliance, an increase in left ventricular size, and a decrease in cardiac performance leading to heart failure. Recent investigations have revealed that DCM is multifactorial in nature and cellular, molecular, and metabolic perturbations predisposed and contributed to DCM. Differential expression of microRNA (miRNA), signaling molecules involved in glucose metabolism, hyperlipidemia, advanced glycogen end products, cardiac extracellular matrix remodeling, and alteration in survival and differentiation of resident cardiac stem cells are manifested in DCM. A sedentary lifestyle and high fat diet causes obesity and this leads to type 2 diabetes and DCM. However, exercise training improves insulin sensitivity, contractility of cardiomyocytes, and cardiac performance in type 2 diabetes. These findings provide new clues to diagnose and mitigate DCM. This review embodies developments in the field of DCM with the aim of elucidating the future perspectives of predictors and prevention of DCM. PMID:23610527

  18. Nutritional Predictors of Complications Following Radical Cystectomy

    PubMed Central

    Johnson, David C.; Riggs, Stephen B.; Nielsen, Matthew E.; Matthews, Jonathan E.; Woods, Michael E.; Wallen, Eric M.; Pruthi, Raj S.; Smith, Angela B.

    2016-01-01

    Purpose To determine the impact of preoperative nutritional status on the development of surgical complications following cystectomy using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). Methods We performed a retrospective review of the NSQIP 2005–2012 Participant Use Data Files. ACS-NSQIP collects data on 135 variables, including pre- and intraoperative data and 30-day post-operative complications and mortality on all major surgical procedures at participating institutions. Preoperative albumin (<3.5 or >3.5 g/dl), weight loss 6 months before surgery (>10%), and BMI were identified as nutritional variables within the database. The overall complication rate was calculated and predictors of complications were identified using multivariable logistic regression models. Results 1,213 patients underwent cystectomy for bladder cancer between 2005–2012. The overall 30-day complication rate was 55.1% (n=668). While 14.7% (n=102) had a preoperative albumin <3.5 g/dL, 3.4% had >10% weight loss in the 6 months prior to surgery, and the mean BMI was 28 kg/m2. After controlling for age, sex, medical comorbidities, medical resident involvement, operation year, operative time and prior operation, only albumin <3.5g/dl was a significant predictor of experiencing a postoperative complication (p=0.03). This remained significant when albumin was evaluated as a continuous variable (p=0.02) Conclusions Poor nutritional status measured by serum albumin is predictive of an increased rate of surgical complications following radical cystectomy. This finding supports the importance of preoperative nutritional status in this population and highlights the need for the development of effective nutritional interventions in the preoperative setting. PMID:25240535

  19. Electrocardiographic Predictors of Incident Atrial Fibrillation.

    PubMed

    Nguyen, Kaylin T; Vittinghoff, Eric; Dewland, Thomas A; Mandyam, Mala C; Stein, Phyllis K; Soliman, Elsayed Z; Heckbert, Susan R; Marcus, Gregory M

    2016-09-01

    Atrial fibrillation (AF) is likely secondary to multiple different pathophysiological mechanisms that are increasingly but incompletely understood. Motivated by the hypothesis that 3 previously described electrocardiographic predictors of AF identify distinct AF mechanisms, we sought to determine if these electrocardiographic findings independently predict incident disease. Among Cardiovascular Health Study participants without prevalent AF, we determined whether left anterior fascicular block (LAFB), a prolonged QTC, and atrial premature complexes (APCs) each predicted AF after adjusting for each other. We then calculated the attributable risk in the exposed for each electrocardiographic marker. LAFB and QTC intervals were assessed on baseline 12-lead electrocardiogram (n = 4,696). APC count was determined using 24-hour Holter recordings obtained in a random subsample (n = 1,234). After adjusting for potential confounders and each electrocardiographic marker, LAFB (hazard ratio [HR] 2.1, 95% confidence interval [CI] 1.1 to 3.9, p = 0.023), a prolonged QTC (HR 2.5, 95% CI 1.4 to 4.3, p = 0.002), and every doubling of APC count (HR 1.2, 95% CI 1.1 to 1.3, p <0.001) each remained independently predictive of incident AF. The attributable risk of AF in the exposed was 35% (95% CI 13% to 52%) for LAFB, 25% (95% CI 0.6% to 44%) for a prolonged QTC, and 34% (95% CI 26% to 42%) for APCs. In conclusion, in a community-based cohort, 3 previously established electrocardiogram-derived AF predictors were each independently associated with incident AF, suggesting that they may represent distinct mechanisms underlying the disease. PMID:27448684

  20. Branch classification: A new mechanism for improving branch predictor performance

    SciTech Connect

    Chang, P.Y.; Hao, E.; Patt, Y.; Yeh, T.Y.

    1996-04-01

    There is wide agreement that one of the most significant impediments to the performance of current and future pipelined superscalar processors is the presence of conditional branches in the instruction stream. Speculative execution is one solution to the branch problem, but speculative work is discarded if a branch is mispredicted. For it to be effective, speculative work is discarded if a branch is mispredicted. For it to be effective, speculative execution requires a very accurate branch predictor; 95% accuracy is not good enough. This paper proposes branch classification, a methodology for building more accurate branch predictors. Branch classification allows an individual branch instruction to be associated with the branch predictor best suited to predict its direction. Using this approach, a hybrid branch predictor can be constructed such that each component branch predictor predicts those branches for which it is best suited. To demonstrate the usefulness of branch classification, an example classification scheme is given and a new hybrid predictor is built based on this scheme which achieves a higher prediction accuracy than any branch predictor previously reported in the literature.

  1. Early Predictors of Hypocalcemia After Total Thyroidectomy

    PubMed Central

    Noureldine, Salem I.; Genther, Dane J.; Lopez, Michael; Agrawal, Nishant; Tufano, Ralph P.

    2015-01-01

    IMPORTANCE Postoperative hypocalcemia is common after total thyroidectomy, and perioperative monitoring of serum calcium levels is arguably the primary reason for overnight hospitalization. Confidently predicting which patients will not develop significant hypocalcemia may allow for a safe earlier discharge. OBJECTIVE To examine associations of patient characteristics with hypocalcemia, duration of hospitalization, and postoperative intact parathyroid hormone (IPTH) level after total thyroidectomy. DESIGN, SETTING, AND PARTICIPANTS Retrospective study of consecutive patients who underwent total thyroidectomy by a single high-volume surgeon between February 1, 2010, and November 30, 2012. Postoperative serum 25-hydroxyvitamin D (vitamin D), calcium, and IPTH levels were tested within 6 to 8 hours after surgery. Mild hypocalcemia was defined as any postoperative serum calcium level of less than 8.4 to 8.0 mg/dL. Significant hypocalcemia was defined as any postoperative serum calcium level of less than 8.0 mg/dL or the development of hypocalcemia-related symptoms. INTERVENTIONS Total thyroidectomy. MAIN OUTCOMES AND MEASURES Associations of patient demographic and clinical characteristics and laboratory values with postoperative mild and significant hypocalcemia were examined using univariate analysis, and independent predictors of hypocalcemia, duration of hospitalization, and IPTH level were determined using multivariate analysis. RESULTS Overall, 304 total thyroidectomies were performed. Mild and significant hypocalcemia occurred in 68 (22.4%) and 91 (29.9%) patients, respectively, of which the majority were female (P = .003). The development of significant hypocalcemia was associated with postoperative IPTH level (P < .001). On multivariate analysis, males had a decreased risk of developing mild (odds ratio, 0.37 [95% CI, 0.16–0.85]) and significant (odds ratio, 0.57 [95% CI, 0.09–0.78]) hypocalcemia. Every 10-pg/mL increase in postoperative IPTH level

  2. Predictors of mortality after transjugular portosystemic shunt

    PubMed Central

    Ascha, Mona; Abuqayyas, Sami; Hanouneh, Ibrahim; Alkukhun, Laith; Sands, Mark; Dweik, Raed A; Tonelli, Adriano R

    2016-01-01

    AIM: To investigate if echocardiographic and hemodynamic determinations obtained at the time of transjugular intrahepatic portosystemic shunt (TIPS) can provide prognostic information that will enhance risk stratification of patients. METHODS: We reviewed medical records of 467 patients who underwent TIPS between July 2003 and December 2011 at our institution. We recorded information regarding patient demographics, underlying liver disease, indication for TIPS, baseline laboratory values, hemodynamic determinations at the time of TIPS, and echocardiographic measurements both before and after TIPS. We recorded patient comorbidities that may affect hemodynamic and echocardiographic determinations. We also calculated Model for End-stage Liver Disease (MELD) score and Child Turcotte Pugh (CTP) class. The following pre- and post-TIPS echocardiographic determinations were recorded: Left ventricular ejection fraction, right ventricular (RV) systolic pressure, subjective RV dilation, and subjective RV function. We recorded the following hemodynamic measurements: Right atrial (RA) pressure before and after TIPS, inferior vena cava pressure before and after TIPS, free hepatic vein pressure, portal vein pressure before and after TIPS, and hepatic venous pressure gradient (HVPG). RESULTS: We reviewed 418 patients with portal hypertension undergoing TIPS. RA pressure increased by a mean ± SD of 4.8 ± 3.9 mmHg (P < 0.001), HVPG decreased by 6.8 ± 3.5 mmHg (P < 0.001). In multivariate linear regression analysis, a higher MELD score, lower platelet count, splenectomy and a higher portal vein pressure were independent predictors of higher RA pressure (R = 0.55). Three variables predicted 3-mo mortality after TIPS in a multivariate analysis: Age, MELD score, and CTP grade C. Change in the RA pressure after TIPS predicted long-term mortality (per 1 mmHg change, HR = 1.03, 95%CI: 1.01-1.06, P < 0.012). CONCLUSION: RA pressure increased immediately after TIPS particularly in

  3. Predictors of nocturnal oxyhemoglobin desaturation in COPD.

    PubMed

    Corda, Luciano; Novali, Mauro; Montemurro, Luigi Taranto; La Piana, Giuseppe Emanuele; Redolfi, Stefania; Braghini, Alessia; Modina, Denise; Pini, Laura; Tantucci, Claudio

    2011-12-15

    It would be useful to detect predictors of marked nocturnal oxyhemoglobin desaturation (NOD) among COPD patients, who do not have respiratory failure when awake and sleep apnea (SA). Stable COPD patients with awake Pa(O2) ≥ 60 mmHg and Pa(CO2) ≤ 45 mmHg underwent cardio-respiratory polysomnography to exclude SA and to assess NOD. The patients that spent more than 30% of night time with Sp(O2) < 90%, were defined desaturators (D), and the others non desaturators (ND). Pulmonary function testing was performed to determine lung volumes, maximal flow rates, lung diffusion capacity for carbon monoxide and maximal inspiratory and expiratory pressure (P(Imax) and P(Emax)). Negative expiratory pressure test was performed to assess tidal expiratory flow limitation. Supine pharyngometry was performed to determine upper airway size, shuttle walking test to assess exercise desaturation. Twenty-one patients were included in the study (18 male, age 66.0±7.2 years, Body Mass Index 25.9±4.4 kg/m(2), FEV(1) 47.2±16.4% pred., Pa(O2) 74.7±6.9 mmHg, Pa(CO2) 40.3±3.4 mmHg): 10 were D and 11 ND. Significant differences between the two groups were found in diurnal Pa(CO2) (D: 42.4±3.0 vs. ND: 38.3±2.6mmHg; p<0.01), diurnal Sp(O2) (D: 94.0±1.5 vs. ND: 95.9±0.9%; p<0.01), inspiratory capacity (IC) (D: 69.6±11.9 vs. ND: 87.0±17.7% pred.; p<0.05), and oro-pharyngeal junction area (OPJ) (D: 0.8±0.2 vs. ND: 1.2±0.3 cm(2); p<0.01). Among parameters related to marked NOD at the univariate analysis, [Formula: see text] and OPJ remained as independent predictors after stepwise multiple regression analysis. These findings indicate that previously unrecognized factors such as smaller upper airway caliber and lung dynamic hyperinflation are associated with marked NOD in stable COPD patients without daytime respiratory failure and SA. PMID:21864725

  4. Predictors of completed childhood vaccination in Bolivia

    PubMed Central

    Osetinsky, Brianna; Gaydos, Laura M; Leon, Juan S

    2015-01-01

    This project examines how access issues, ethnicity, and geographic region affect vaccination of children by two years of age in Bolivia. Bolivia’s rich variation in culture and geography results in unequal healthcare utilization even for basic interventions such as childhood vaccination. This study utilizes secondary data from the 2008 Demographic and Health Survey for Bolivia to examine predictors of vaccination completion in children by two years of age. Using logistic regression methods, we control for health system variables (difficulty getting to a health center and type of health center as well as demographic and socio-economic covariates). The results indicated that children whose parents reported distance as a problem in obtaining health care were less likely to have completed all vaccinations. Ethnicity was not independently statistically significant, however, in a sub-analysis, people from the Quechua ethnic group were more likely to report ‘distance as a problem in obtaining healthcare.’ Surprisingly, living in a rural environment has a protective effect on completed vaccinations. However, geographic region did predict significant differences in the probability that children would be fully vaccinated; children in the region with the lowest vaccination completion coverage were 80% less likely to have completed vaccination compared to children in the best performing region, which may indicate unequal access and utilization of health services nationally. Further study of regional differences, urbanicity, and distance as a healthcare access problem will help refine implications for the Bolivian health system. PMID:26609338

  5. Early predictors of boys’ antisocial trajectories

    PubMed Central

    SHAW, DANIEL S.; HYDE, LUKE W.; BRENNAN, LAURETTA M.

    2012-01-01

    Despite the large number of studies tracing patterns of youth antisocial behavior (AB) during adolescence, few have prospective data on the developmental precursors of AB beginning during infancy. Using a cohort of 268 low-income boys first assessed at 18 months, the current study examined predictors of early- and late-starting trajectories of AB assessed during early childhood and early adolescence. Four trajectory groups were identified, including early- and late-starting groups, a low stable group, and a high decreasing group, characterized by multiple risk factors during early childhood and early adolescence. During early childhood, parenting and maternal depression discriminated two AB trajectory groups, an early-starting and a high decreasing group, who would go on to demonstrate a high preponderance of juvenile court involvement (60% to 79%) and elevated rates of clinical depression 13 to 15 years later. The results were discussed in reference to targeting malleable family risk factors during early childhood associated with patterns of AB and mental health disorders during adolescence. PMID:22781860

  6. Estimating Interaction Effects With Incomplete Predictor Variables

    PubMed Central

    Enders, Craig K.; Baraldi, Amanda N.; Cham, Heining

    2014-01-01

    The existing missing data literature does not provide a clear prescription for estimating interaction effects with missing data, particularly when the interaction involves a pair of continuous variables. In this article, we describe maximum likelihood and multiple imputation procedures for this common analysis problem. We outline 3 latent variable model specifications for interaction analyses with missing data. These models apply procedures from the latent variable interaction literature to analyses with a single indicator per construct (e.g., a regression analysis with scale scores). We also discuss multiple imputation for interaction effects, emphasizing an approach that applies standard imputation procedures to the product of 2 raw score predictors. We thoroughly describe the process of probing interaction effects with maximum likelihood and multiple imputation. For both missing data handling techniques, we outline centering and transformation strategies that researchers can implement in popular software packages, and we use a series of real data analyses to illustrate these methods. Finally, we use computer simulations to evaluate the performance of the proposed techniques. PMID:24707955

  7. Entrepreneurial stressors as predictors of entrepreneurial burnout.

    PubMed

    Wei, Xueyan; Cang, Shuangxin; Hisrich, Robert D

    2015-02-01

    Research on the effects of entrepreneurial stressors is limited, especially regarding its relation to the burnout that frequently occurs in the process of starting and growing a venture. The effect of the role of entrepreneurial stressors (workload, competitive comparison, demands-of-knowledge, managing responsibility, and resource requirements) on burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) was examined in a Chinese sample of entrepreneurs. Entrepreneurial stressors emerged as a significant predictor of burnout in the process of entrepreneurship in a sample of 289 entrepreneurs (63.8% men; M age = 26.2 yr.; 39.6% of their parents have been self-employed). The findings clarify the functional relationship between entrepreneurial stressors and burnout. Entrepreneurial stressors played multiple roles. Managing responsibility was an active contributor to the sense of achievement and to emotional exhaustion. Workload was an active contributor to emotional exhaustion. Demands-of-knowledge negatively affected three of the dimensions of burnout. Theoretical and practical implications for management of the effect of these relationships are discussed. PMID:25621666

  8. Predictors of juveniles' noncompliance with probation requirements.

    PubMed

    NeMoyer, Amanda; Goldstein, Naomi E S; McKitten, Rhonda L; Prelic, Ana; Ebbecke, Jenna; Foster, Erika; Burkard, Casey

    2014-12-01

    Probation is the most common disposition for adjudicated youth, but little is known about which specific requirements are commonly imposed on juveniles, the requirements with which juveniles most often fail to comply, and how certain youth characteristics and/or imposed requirements might relate to probation noncompliance. An investigation of 120 archived files of youth represented by an urban public defender's office identified 29 probation requirements imposed on youth and 18 requirements with which youth commonly failed to comply. Results revealed that 52% of youth failed to comply with at least one probation requirement; prior probation noncompliance and race were both significantly associated with noncompliance in the examined probation disposition. In addition, the probability of probation noncompliance was significantly higher when youth received either of two substance-related probation requirements: drug tests or drug and alcohol counseling. Such results may prompt further investigation of juvenile probation-related predictors, identify areas of need for clinical service provision to foster successful completion of probation requirements, and help identify areas of potential biases among juvenile court personnel. PMID:24933176

  9. [Molecular biological predictors for kidney cancer].

    PubMed

    Vtorushin, S V; Tarakanova, V O; Zavyalova, M V

    2016-01-01

    The paper considers the data available in the modern literature on studies of potential molecular predictors for renal cell carcinoma (RCC). Investigations of cell death markers, namely; Bcl-2 as an inhibitor of apoptosis, are of interest. Its high expression correlates with a more favorable prognosis. Inactivation of Berclin 1 that is an authophagy indicator in intact tissues gives rise to t high risk for tumorigenesis. At the same time, high Beclin 1 expression in the tissue of the tumor itself results in the lower efficiency of performed chemotherapy. Excess annexin A2 in the tumor promotes the growth and invasion of cancer cells. Patients with tumor over-expression of SAM68 protein involved in cell proliferation have a lower overall survival rate. The lifespan of patients without distinct metastases survive significantly longer in the overexpression of epithelial cell adhesion molecule (EpCAM). High PD-L1 protein expression on the cell membrane is considered to be a potential marker of effective immunotherapy for RCC. PMID:27077146

  10. Spirituality: an overlooked predictor of placebo effects?

    PubMed Central

    Kohls, Nikola; Sauer, Sebastian; Offenbächer, Martin; Giordano, James

    2011-01-01

    Empirical findings have identified spirituality as a potential health resource. Whereas older research has associated such effects with the social component of religion, newer conceptualizations propose that spiritual experiences and the intrapersonal effects that are facilitated by regular spiritual practice might be pivotal to understanding potential salutogenesis. Ongoing studies suggest that spiritual experiences and practices involve a variety of neural systems that may facilitate neural ‘top-down’ effects that are comparable if not identical to those engaged in placebo responses. As meaningfulness seems to be both a hallmark of spirituality and placebo reactions, it may be regarded as an overarching psychological concept that is important to engaging and facilitating psychophysiological mechanisms that are involved in health-related effects. Empirical evidence suggests that spirituality may under certain conditions be a predictor of placebo response and effects. Assessment of patients' spirituality and making use of various resources to accommodate patients' spiritual needs reflect our most current understanding of the physiological, psychological and socio-cultural aspects of spirituality, and may also increase the likelihood of eliciting self-healing processes. We advocate the position that a research agenda addressing responses and effects of both placebo and spirituality could therefore be (i) synergistic, (ii) valuable to each phenomenon on its own, and (iii) contributory to an extended placebo paradigm that is centred around the concept of meaningfulness. PMID:21576141

  11. Predictors of Treatment Response in Pediatric Obsessive-Compulsive Disorder

    ERIC Educational Resources Information Center

    Ginsburg, Golda S.; Kingery, Julie Newman; Drake, Kelly L.; Grados, Marco A.

    2008-01-01

    The study examines predictors of treatment response in pediatric obsessive-compulsive disorder, which is a severe mental illness causing distress and impaired functioning. Summarized findings of psychosocial factors and medication interventions are presented.

  12. Predictors of bone loss in revision total knee arthroplasty.

    PubMed

    Bloomfield, Michael R; Klika, Alison K; Lee, Ho H; Joyce, David M; Mehta, Priyesh; Barsoum, Wael K

    2010-03-01

    Revision total knee arthroplasty (RTKA) requires preoperative planning to enable the reconstruction of bony deficiencies. The objective of this project was to identify predictors of bone loss management at RTKA based on the preoperative failure mode and patient demographics known preoperatively. We retrospectively reviewed 245 consecutive RTKA procedures in which the same revision knee system was utilized. Patient demographic and treatment data were recorded, and locations of bone loss were identified based on the reconstructive management. We identified significant predictors for use of femoral augments at all four positions. Several predictors significantly predisposed to use of a thick (>19 mm) polyethylene; however, no predictors of tibial augments were significant. Although the reconstruction of bone loss is primarily based on the intraoperative assessment, these findings may provide additional information to help the surgeon prepare for difficult revision procedures. PMID:20812582

  13. Health Before a Stroke Is Big Predictor of Second Attack

    MedlinePlus

    ... fullstory_159881.html Health Before a Stroke Is Big Predictor of Second Attack Getting hypertension, cholesterol under ... the researchers explained. The findings weren't a big surprise to the study authors. "We found in ...

  14. Predictors of Child Noncompliant Behavior in the Home

    ERIC Educational Resources Information Center

    Forehand, Rex; And Others

    1978-01-01

    Subjects were 18 mothers and their clinic-referred children. A stepwise multiple regression analysis indicated that two maternal behaviors, beta commands and total rewards, displayed in the clinic were the best predictors of child compliance in the home. (Author)

  15. Predictors of Parental Monitoring Among Families With a Runaway Adolescent

    PubMed Central

    Slesnick, Natasha; Reed, Sandra; Letcher, Amber; Katafiasz, Heather; Jones, Travis; Buettner, Cynthia

    2011-01-01

    Extensive research shows that parental monitoring is a critical factor in child adjustment. Using parent and adolescent reports, this study sought to examine predictors of parental monitoring among an understudied, high-risk sample of runaway adolescents. Parent-reported depressive symptoms, couple (romantic) relationship satisfaction, and adolescent-reported bonding with parents were used as predictors of both child- and parent-reported monitoring. Findings indicated that, among parents, the couple relationship was the primary predictor of monitoring, whereas among adolescents, the parent-child relationship was the primary predictor. Maternal depressive symptoms were unrelated to monitoring. These findings suggest the utility of considering monitoring as an interpersonal phenomenon rather than primarily a parent- or child-driven phenomenon. PMID:22239389

  16. Predictors of Teachers' Perceived Self-Competence in Classroom Management.

    ERIC Educational Resources Information Center

    Safran, Stephen P.; And Others

    1990-01-01

    Examined predictors of teachers' (N=182) management beliefs (the degree to which teachers believe they can personally manage a behavior). Found variables relating to greatest number of dependent measures were student academic achievement and socioeconomic status. (Author/ABL)

  17. Designing Estimator/Predictor Digital Phase-Locked Loops

    NASA Technical Reports Server (NTRS)

    Statman, J. I.; Hurd, W. J.

    1988-01-01

    Signal delays in equipment compensated automatically. New approach to design of digital phase-locked loop (DPLL) incorporates concepts from estimation theory and involves decomposition of closed-loop transfer function into estimator and predictor. Estimator provides recursive estimates of phase, frequency, and higher order derivatives of phase with respect to time, while predictor compensates for delay, called "transport lag," caused by PLL equipment and by DPLL computations.

  18. An estimator-predictor approach to PLL loop filter design

    NASA Technical Reports Server (NTRS)

    Statman, Joseph I.; Hurd, William J.

    1990-01-01

    The design of digital phase locked loops (DPLL) using estimation theory concepts in the selection of a loop filter is presented. The key concept, that the DPLL closed-loop transfer function is decomposed into an estimator and a predictor, is discussed. The estimator provides recursive estimates of phase, frequency, and higher-order derivatives, and the predictor compensates for the transport lag inherent in the loop.

  19. COSPAS-SARSAT Satellite Orbit Predictor. Volume 3

    NASA Technical Reports Server (NTRS)

    Friedman, Morton L.; Garrett, James

    1984-01-01

    The satellite orbit predictor is a graphical aid for determining the relationship between the satellite (SARSAT or COSPAS) orbit, antenna coverage of the spacecraft and coverage of the LUTs. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite. Additionally, a table of equator crossings for each satellite is included.

  20. COSPAS-SARSAT Satellite Orbit Predictor, Vol 4

    NASA Technical Reports Server (NTRS)

    Friedman, Morton L.; Garrett, James, Major

    1984-01-01

    The satellite orbit predictor is a graphical aid for determining the relationship between the satellite (SARSAT or COSPAS) orbit, antenna coverage of the spacecraft and coverage of the LUTs. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite. Additionally, a table of equator crossings for each satellite is included.

  1. Stable behavioral inhibition and glucocorticoid production as predictors of longevity.

    PubMed

    Cavigelli, Sonia A; Ragan, Christina M; Michael, Kerry C; Kovacsics, Colleen E; Bruscke, Alexander P

    2009-08-01

    Several personality/temperament traits have been linked to health outcomes in humans and animals but underlying physiological mechanisms for these differential outcomes are minimally understood. In this paper, we compared the strength of a behavioral trait (behavioral inhibition) and an associated physiological trait (glucocorticoid production) in predicting life span. In addition, we examined the relative stability of both the behavioral and physiological traits within individuals over a significant portion of adulthood, and tested the hypothesis that a stable behavioral trait is linked with a stable physiological bias. In a sample of 60 Sprague-Dawley male rats, we found that stable inhibition/neophobia was a stronger predictor of life span than stably elevated glucocorticoid production. In addition, these predictors appeared to have an additive influence on life span in that males with both risk factors (stable inhibition and consistently high glucocorticoid production) had the shortest life spans of all, suggesting both traits are important predictors of life span. Across a 4-month period in young adulthood, inhibition and glucocorticoid reactivity were relatively stable traits, however these two traits were not highly correlated with one another. Interestingly, baseline glucocorticoid production was a better predictor of life span than reactivity levels. The results indicate that glucocorticoid production in young adulthood is an important predictor of life span, although not as strong a predictor as inhibition, and that other physiological processes may further explain the shortened life span in behaviorally-inhibited individuals. PMID:19477191

  2. Learning phenotype densities conditional on many interacting predictors

    PubMed Central

    Kessler, David C.; Taylor, Jack A.; Dunson, David B.

    2014-01-01

    Motivation: Estimating a phenotype distribution conditional on a set of discrete-valued predictors is a commonly encountered task. For example, interest may be in how the density of a quantitative trait varies with single nucleotide polymorphisms and patient characteristics. The subset of important predictors is not usually known in advance. This becomes more challenging with a high-dimensional predictor set when there is the possibility of interaction. Results: We demonstrate a novel non-parametric Bayes method based on a tensor factorization of predictor-dependent weights for Gaussian kernels. The method uses multistage predictor selection for dimension reduction, providing succinct models for the phenotype distribution. The resulting conditional density morphs flexibly with the selected predictors. In a simulation study and an application to molecular epidemiology data, we demonstrate advantages over commonly used methods. Availability and implementation: MATLAB code available at https://googledrive.com/host/0Bw6KIFB-k4IOOWQ0dFJtSVZxNE0/ktdctf.html Contact: dave.kessler@gmail.com PMID:24501099

  3. Therapeutic hypothermia after cardiac arrest: outcome predictors

    PubMed Central

    Leão, Rodrigo Nazário; Ávila, Paulo; Cavaco, Raquel; Germano, Nuno; Bento, Luís

    2015-01-01

    Objective The determination of coma patient prognosis after cardiac arrest has clinical, ethical and social implications. Neurological examination, imaging and biochemical markers are helpful tools accepted as reliable in predicting recovery. With the advent of therapeutic hypothermia, these data need to be reconfirmed. In this study, we attempted to determine the validity of different markers, which can be used in the detection of patients with poor prognosis under hypothermia. Methods Data from adult patients admitted to our intensive care unit for a hypothermia protocol after cardiac arrest were recorded prospectively to generate a descriptive and analytical study analyzing the relationship between clinical, neurophysiological, imaging and biochemical parameters with 6-month outcomes defined according to the Cerebral Performance Categories scale (good 1-2, poor 3-5). Neuron-specific enolase was collected at 72 hours. Imaging and neurophysiologic exams were carried out in the 24 hours after the rewarming period. Results Sixty-seven patients were included in the study, of which 12 had good neurological outcomes. Ventricular fibrillation and electroencephalographic theta activity were associated with increased likelihood of survival and improved neurological outcomes. Patients who had more rapid cooling (mean time of 163 versus 312 minutes), hypoxic-ischemic brain injury on magnetic resonance imaging or neuron-specific enolase > 58ng/mL had poor neurological outcomes (p < 0.05). Conclusion Hypoxic-ischemic brain injury on magnetic resonance imaging and neuron-specific enolase were strong predictors of poor neurological outcomes. Although there is the belief that early achievement of target temperature improves neurological prognoses, in our study, there were increased mortality and worse neurological outcomes with earlier target-temperature achievement. PMID:26761469

  4. Final Report, Distillation Column Flooding Predictor

    SciTech Connect

    George E. Dzyacky

    2003-05-31

    The Flooding Predictor is an advanced process control strategy comprising a patented pattern-recognition methodology that identifies pre-flood patterns discovered to precede flooding events in distillation columns. The grantee holds a U.S. patent on the modeling system. The technology was validated at the Separations Research Program, The University of Texas at Austin under a grant from the U. S. Department of Energy, Inventions & Innovation Program. Distillation tower flooding occurs at abnormally high vapor and/or liquid rates. The loss in tray efficiencies is attributed to unusual behavior of liquid inventories inside the column leading to conditions of flooding of the space in between trays with liquid. Depending on the severity of the flood condition, consequences range from off spec products to equipment damage and tower shutdown. This non-intrusive pattern recognition methodology, processes signal data obtained from existing column instrumentation. Once the pattern is identified empirically, it is modeled and coded into the plant's distributed control system. The control system is programmed to briefly "unload" the tower each time the pattern appears. The unloading takes the form of a momentary reduction in column severity, e.g., decrease bottom temperature, reflux or tower throughput. Unloading the tower briefly at the pre-flood state causes long-term column operation to become significantly more stable - allowing an increase in throughput and/or product purity. The technology provides a wide range of value between optimization and flooding. When a distillation column is not running at capacity, it should be run in such a way ("pushed") that optimal product purity is achieved. Additional benefits include low implementation and maintenance costs, and a high level of console operator acceptance. The previous commercial applications experienced 98% uptime over a four-year period. Further, the technology is unique in its ability to distinguish between different

  5. Ayurvedic Doshas as Predictors of Sleep Quality

    PubMed Central

    Telles, Shirley; Pathak, Shivangi; Kumar, Ankur; Mishra, Prabhat; Balkrishna, Acharya

    2015-01-01

    Background The 3 Ayurvedic constitutional types or Doshas – vata, pitta, and kapha – are responsible for homeostasis and health. The doshas determine various functions, including sleep. According to the Ayurvedic texts, sleep is caused by increased kapha and insomnia by increased vata or pitta, which may follow physical or mental exertion, or disease. The present study was carried out to determine whether this relationship could be found using contemporary standardized questionnaires. Material/Methods In this cross-sectional single-group study, 995 persons participated (646 males; group average age ±S.D., 49.1±15.2 years). Participants were attending a 1-week residential yoga program in northern India. Participants were assessed for dosha scores using a Tridosha questionnaire and the quality of sleep in the preceding week was self-rated using a sleep rating questionnaire. Results Multiple linear regression analyses were used to determine if each dosha acted as a predictor of quality and quantity of sleep. Vata scores significantly predicted the time taken to fall asleep [p<0.01], and the feeling of being rested in the morning [p<0.001]; with higher vata scores being associated with a longer time to fall asleep and a lesser feeling of being rested in the morning. Kapha scores significantly predicted day-time somnolence [p<0.05] and the duration of day-time naps in minutes [p<0.05], with higher kapha scores being associated with longer day-time naps. Conclusions The results suggest that the doshas can influence the quality and quantity of sleep. PMID:25982247

  6. Predictors of surgical outcome and their assessment.

    PubMed

    Mannion, Anne F; Elfering, Achim

    2006-01-01

    The relatively high rate of failed back surgery has prompted the search for "risk factors" to predict the result of spinal surgery in a given individual. However, the literature reveals few unequivocal predictors and they often explain a relatively low proportion of variance in outcome. This suggests that we have a long way to go before being able to rest easily, having refused someone surgery on the basis of unfavourable baseline characteristics. The best recommendation is to ensure, firstly, that the indication for surgery is absolutely clear-cut (i.e. that surgically remediable pathology exists) and then to consider the various factors that may influence the "typical" outcome. Consistent risk factors for a poor outcome regarding return-to-work include long-term sick leave/receipt of disability benefit. Hence, every effort should be made to keep the individual in the workforce, despite the ongoing symptoms and plans for surgery. In patients with a particularly heavy job, consultation with occupational physicians might later ease the patient's way back into the workplace. Patients with degenerative disorders and/or comorbidity should be counselled that few of them will have complete/lasting pain relief or a complete return to pre-morbid function. Patients with a high level of distress may benefit from psychological treatment, before and/or accompanying the surgical treatment. The opportunity (time), encouragement (education and positive messages), and resources (referral to appropriate support services) to modify risk factors that are indeed modifiable should be offered, and realistic expectations should be discussed with the patient before the decision to operate is made. PMID:16320033

  7. Psychosocial predictors of treatment outcome for trauma-affected refugees

    PubMed Central

    Sonne, Charlotte; Carlsson, Jessica; Bech, Per; Vindbjerg, Erik; Mortensen, Erik Lykke; Elklit, Ask

    2016-01-01

    Background The effects of treatment in trials with trauma-affected refugees vary considerably not only between studies but also between patients within a single study. However, we know little about why some patients benefit more from treatment, as few studies have analysed predictors of treatment outcome. Objective The objective of the study was to examine possible psychosocial predictors of treatment outcome for trauma-affected refugees. Method The participants were 195 adult refugees with posttraumatic stress disorder (PTSD) who were enrolled in a 6- to 7-month treatment programme at the Competence Centre for Transcultural Psychiatry (CTP), Denmark. The CTP Predictor Index used in the study included 15 different possible outcome predictors concerning the patients’ past, chronicity of mental health problems, pain, treatment motivation, prerequisites for engaging in psychotherapy, and social situation. The primary outcome measure was PTSD symptoms measured on the Harvard Trauma Questionnaire (HTQ). Other outcome measures included the Hopkins Symptom Check List-25, the WHO-5 Well-being Index, Sheehan Disability Scale, Hamilton Depression and Anxiety Scales, the somatisation scale of the Symptoms Checklist-90, Global Assessment of Functioning scales, and pain rated on visual analogue scales. The relations between treatment outcomes and the total score as well as subscores of the CTP Predictor Index were analysed. Results Overall, the total score of the CTP Predictor Index was significantly correlated to pre- to post treatment score changes on the majority of the ratings mentioned above. While employment status was the only single item significantly correlated to HTQ-score changes, a number of single items from the CTP Predictor Index correlated significantly with changes in depression and anxiety symptoms, but the size of the correlation coefficients were modest. Conclusions The total score of the CTP Predictor Index correlated significantly with outcomes on most

  8. Predictors of Patient Satisfaction With Mohs Surgery

    PubMed Central

    Asgari, Maryam M.; Warton, E. Margaret; Neugebauer, Romain; Chren, Mary-Margaret

    2013-01-01

    Objective To identify preoperative, intraoperative, and postoperative variables that predict higher short- and long-term patient satisfaction with Mohs surgery. Design Prospective cohort study. Setting A university-based dermatology practice and the affiliated Veterans Affairs medical center dermatology clinic. Patients A total of 339 consecutive patients treated with Mohs surgery in 1999 and 2000. Main Outcome Measures Short-term satisfaction at 1 week and long-term satisfaction at 1 year. We used directed acyclic graphs to determine appropriate confounding adjustment for preoperative, intraoperative, and postoperative variables that influence satisfaction with Mohs surgery in logistic regression models. Results Better preoperative skin-related quality of life (measured using Skindex) and more intraoperative Mohs stages were the most salient predictors of higher short- and long-term satisfaction; these odds ratios (ORs) were 2.33 (95% CI, 1.01–5.35) and 5.19 (1.66–16.29), respectively, for preoperative skin-related quality of life and 7.06 (2.02–24.67) and 5.30 (1.24–22.64), respectively, for more intraoperative Mohs stages. Patients not bothered by postoperative bleeding were more likely to be satisfied short term (OR, 2.25; 95% CI, 1.25–4.05), as were those who considered themselves involved in decision making about their treatment (3.05; 1.52–6.10). Higher long-term satisfaction with Mohs surgery was observed among patients who were married (2.36; 1.10–5.09). Conclusions Higher short- and long-term satisfaction with Mohs surgery is predicted by better preoperative skin-related quality of life and by more intraoperative Mohs stages. The effect of postoperative variables wanes over time, suggesting that factors influencing satisfaction can vary depending on the time frame when satisfaction is measured. Our results may help clinicians identify patients who are at higher risk of dissatisfaction following Mohs surgery. PMID:22184760

  9. LOP- LONG-TERM ORBIT PREDICTOR

    NASA Technical Reports Server (NTRS)

    Kwok, J. H.

    1994-01-01

    The Long-Term Orbit Predictor (LOP) trajectory propagation program is a useful tool in lifetime analysis of orbiting spacecraft. LOP is suitable for studying planetary orbit missions with reconnaissance (flyby) and exploratory (mapping) trajectories. Sample data is included for a geosynchronous station drift cycle study, a Venus radar mapping strategy, a frozen orbit about Mars, and a repeat ground trace orbit. LOP uses the variation-of-parameters method in formulating the equations of motion. Terms involving the mean anomaly are removed from numerical integrations so that large step sizes, on the order of days, are possible. Consequently, LOP executes much faster than programs based on Cowell's method, such as the companion program ASAP (the Artificial Satellite Analysis Program, NPO-17522, also available through COSMIC). The program uses a force model with a gravity field of up to 21 by 21, lunisolar perturbation, drag, and solar radiation pressure. The input includes classical orbital elements (either mean or oscillating), orbital elements of the sun relative to the planet, reference time and dates, drag coefficients, gravitational constants, planet radius, rotation rate. The printed output contains the classical elements for each time step or event step, and additional orbital data such as true anomaly, eccentric anomaly, latitude, longitude, periapsis altitude, and the rate of change per day of certain elements. Selected output is additionally written to a plot file for postprocessing by the user. LOP is written in FORTRAN 77 for batch execution on IBM PC compatibles running MS-DOS with a minimum of 256K RAM. Recompiling the source requires the Lahey F77 v2.2 compiler. The LOP package includes examples that use LOTUS 1-2-3 for graphical displays, but any graphics software package should be able to handle the ASCII plot file. The program is available on two 5.25 inch 360K MS-DOS format diskettes. The program was written in 1986 and last updated in 1989. LOP is

  10. Predictors of trips to food destinations

    PubMed Central

    2012-01-01

    Background Food environment studies have focused on ethnic and income disparities in food access. Few studies have investigated distance travelled for food and did not aim to inform the geographic scales at which to study the relationship between food environments and obesity. Further, studies have not considered neighborhood design as a predictor of food purchasing behavior. Methods Atlanta residents (N = 4800) who completed a travel diary and reported purchasing or consuming food at one of five food locations were included in the analyses. A total of 11,995 food-related trips were reported. Using mixed modeling to adjust for clustering of trips by participants and households, person-level variables (e.g. demographics), neighborhood-level urban form measures, created in GIS, and trip characteristics (e.g. time of day, origin and destination) were investigated as correlates of distance travelled for food and frequency of grocery store and fast food outlet trips. Results Mean travel distance for food ranged from 4.5 miles for coffee shops to 6.3 miles for superstores. Type of store, urban form, type of tour, day of the week and ethnicity were all significantly related to distance travelled for food. Origin and destination environment, type of tour, day of week, age, gender, income, ethnicity, vehicle access and obesity status were all significantly related to visiting a grocery store. Home neighborhood environment, day of week, type of tour, gender, income, education level, age, and obesity status were all significantly related to likelihood of visiting a fastfood outlet. Conclusions The present study demonstrated that people travel sizeable distances for food and this distance is related to urban. Results suggest that researchers need to employ different methods to characterize food environments than have been used to assess urban form in studies of physical activity. Food is most often purchased while traveling from locations other than home, so future studies

  11. Predictors of Difficult Intubation Among Malay Patients in Indonesia

    PubMed Central

    Tantri, Aida Rosita; Firdaus, Riyadh; Salomo, Sahat Tumpal

    2016-01-01

    Background Failure to maintain an adequate airway can lead to brain damage and death. To reduce the risk of difficulty in maintaining an airway during general anesthesia, there are several known predictors of difficult intubation. People with a Malay background have different craniofacial structures in comparison with other individuals. Therefore, different predictors should be used for patients of Malay race. Objectives The aim of this study was to determine the ability to predict difficult visualization of the larynx (DVL) in Malay patients based on several predictors, such as the modified Mallampati test (MMT), thyromental distance (TMD), and hyomental distance ratio (HMDR). Patients and Methods This cross-sectional study included 277 consecutive patients requiring general anesthesia. All subjects were evaluated using the MMT, TMD, and HMDR, and the cut-off points for the airway predictors were Mallampati III and IV, < 6.5 cm, and < 1.2, respectively. During direct laryngoscopy, the laryngeal view was graded using the Cormack-Lehane (CL) classification. CL grades III and IV were considered difficult visualization. The area under the curve (AUC), sensitivity, and specificity for each predictor were calculated both as sole and combined predictors. Logistic regression analysis was used to determine independent predictors of DVL. Results Difficulty in visualizing the larynx was found in 28 (10.1%) patients. The AUC, sensitivity, and specificity for the three airway predictors were as follows: MMT: 0.614, 10.7%, and 99.2%; HMDR: 0.743, 64.2%, and 74%; and TMD: 0.827, 82.1%, and 64.7%. The combination providing the best prediction in our study involved the MMT, HMDR, and TMD with an AUC, sensitivity, and specificity of 0.835, 60.7%, and 88.8%, respectively. Logistic regression analysis showed that the MMT, HMDR, and TMD were independent predictors of DVL. Conclusions The TMD, with a cut-off point of 65 mm, had superior diagnostic value compared with the HMDR and

  12. Predictor symbology in computer-generated pictorial displays

    NASA Technical Reports Server (NTRS)

    Grunwald, A. J.

    1981-01-01

    The display under investigation, is a tunnel display for the four-dimensional commercial aircraft approach-to-landing under instrument flight rules. It is investigated whether more complex predictive information such as a three-dimensional perspective vehicle symbol, predicting the future vehicle position as well as future vehicle attitude angles, contributes to a better system response, and suitable predictor laws for the predictor motions, are formulated. Methods for utilizing the predictor symbol in controlling the forward velocity of the aircraft in four-dimensional approaches, are investigated. The simulator tests show, that the complex perspective vehicle symbol yields improved damping in the lateral response as compared to a flat two-dimensional predictor cross, but yields generally larger vertical deviations. Methods of using the predictor symbol in controlling the forward velocity of the vehicle are shown to be effective. The tunnel display with superimposed perspective vehicle symbol yields very satisfactory results and pilot acceptance in the lateral control but is found to be unsatisfactory in the vertical control, as a result of too large vertical path-angle deviations.

  13. A grid-enabled protein secondary structure predictor.

    PubMed

    Mirto, Maria; Cafaro, Massimo; Fiore, Sandro Luigi; Tartarini, Daniele; Aloisio, Giovanni

    2007-06-01

    We present an integrated Grid system for the prediction of protein secondary structures, based on the frequent automatic update of proteins in the training set. The predictor model is based on a feed-forward multilayer perceptron (MLP) neural network which is trained with the back-propagation algorithm; the design reuses existing legacy software and exploits novel grid components. The predictor takes into account the evolutionary information found in multiple sequence alignment (MSA); the information is obtained running an optimized parallel version of the PSI-BLAST tool, based on the MPI Master-Worker paradigm. The training set contains proteins of known structure. Using Grid technologies and efficient mechanisms for running the tools and extracting the data, the time needed to train the neural network is dramatically reduced, whereas the results are comparable to a set of well-known predictor tools. PMID:17695746

  14. Predictors of Post-Infectious Chronic Fatigue Syndrome in Adolescents.

    PubMed

    Jason, Leonard A; Katz, Ben Z; Shiraishi, Yukiko; Mears, Cynthia J; Im, Young; Taylor, Renee

    2014-01-01

    This study focused on identifying risk factors for adolescent post-infectious chronic fatigue syndrome (CFS), utilizing a prospective, nested case-control longitudinal design in which over 300 teenagers with Infectious Mononucleosis (IM) were identified through primary care sites and followed. Baseline variables that were gathered several months following IM, included autonomic symptoms, days in bed since IM, perceived stress, stressful life events, family stress, difficulty functioning and attending school, family stress and psychiatric disorders. A number of variables were predictors of post-infectious CFS at 6 months; however, when autonomic symptoms were used as a control variable, only days spent in bed since mono was a significant predictor. Step-wise logistic regression findings indicated that baseline autonomic symptoms as well as days spent in bed since mono, which reflect the severity of illness, were the only significant predictors of those who met CFS criteria at 6 months. PMID:24660116

  15. Predictors of two-year outcome among psychiatric outpatients.

    PubMed

    Harder, D W; Greenwald, D F; Strauss, J S; Kokes, R F; Ritzler, B A; Gift, T E

    1990-05-01

    This study hypothesized that social competence and clinical factors previously associated with psychiatric outcome among inpatients would be effective predictors of outcome among outpatients (N = 77) as well. Intake and 2-year outcome status were assessed multidimensionally with absolute-level and residualized indices of functioning, overall clinical status, and symptomatology. Menninger health-sickness proved to be the best single predictor, although Phillips premorbid functioning, Strauss-Carpenter prognosis, social class, and diagnostic severity also predicted well to outcome. Patterns of associated predictor/outcome variable clusters were described. Results suggest that a general social competence factor predicts to psychiatric outcome across the entire range of disorders, but that life events stress does not. PMID:2347928

  16. Predictors of early precocious talking: a prospective population study.

    PubMed

    Skeat, Jemma; Wake, Melissa; Reilly, Sheena; Eadie, Patricia; Bretherton, Lesley; Bavin, Edith L; Ukoumunne, Obioha C

    2010-11-01

    This study examines potential predictors of 'precocious talking' (expressive language ≥90th percentile) at one and two years of age, and of 'stability' in precocious talking across both time periods, drawing on data from a prospective community cohort comprising over 1,800 children. Logistic regression was used to examine the relationship between precocious talking and the following potential predictors: gender, birth order, birth weight, non-English speaking background, socioeconomic status, maternal age, maternal mental health scores, and vocabulary and educational attainment of parents. The strongest predictors of precocity (being female and having a younger mother) warrant further exploration. Overall, however, it appears that precocity in early vocabulary development is not strongly influenced by the variables examined, which together explained just 2.6% and 1% of the variation at 1;0 and 2;0 respectively. PMID:19874641

  17. Predictors of post-infectious chronic fatigue syndrome in adolescents

    PubMed Central

    Jason, Leonard A.; Katz, Ben Z.; Shiraishi, Yukiko; Mears, Cynthia J.; Im, Young; Taylor, Renee R.

    2014-01-01

    This study focused on identifying risk factors for adolescent post-infectious chronic fatigue syndrome (CFS), utilizing a prospective, nested case–control longitudinal design in which over 300 teenagers with infectious mononucleosis (IM) were identified through primary care sites and followed. Baseline variables that were gathered several months following IM, included autonomic symptoms, days in bed since IM, perceived stress, stressful life events, family stress, difficulty functioning and attending school, family stress, and psychiatric disorders. A number of variables were predictors of post-infectious CFS at six months; however, when autonomic symptoms were used as a control variable, only days spent in bed since mono was a significant predictor. Step-wise logistic regression findings indicated that baseline autonomic symptoms as well as days spent in bed since mono, which reflect the severity of illness, were the only significant predictors of those who met CFS criteria at six months. PMID:24660116

  18. Nativity and Health Disparities: Predictors of Immigrant Health.

    PubMed

    Danso, Kofi

    2016-01-01

    This study examines the differences in the social determinants of health and chronic health conditions of immigrants and nonimmigrants. The logistic regression results indicate that employment, education, poverty, residential status, and neighborhood safety have strong influence on the health of immigrants and native-born Americans; however, gender and place of residence are significant to only nonimmigrant health. For chronic health conditions, age and employment status are significant predictors for immigrants whereas race/ethnicity, age, gender, insurance coverage, and education are important predictors of chronic health conditions among nonimmigrants. Neighborhood safety, English proficiency, and marital status were not significant determinants of the health conditions of both subgroups. The study points to the importance of education, poverty/income, and neighborhood safety as essential determinants of immigrant and nonimmigrant health. However, there are variations in the health predictors for each group. PMID:26963922

  19. Exploring the Predictors of Organizational Preparedness for Natural Disasters.

    PubMed

    Sadiq, Abdul-Akeem; Graham, John D

    2016-05-01

    There is an extensive body of research on the determinants of disaster preparedness at the individual and household levels. The same cannot be said for the organizational level. Hence, the purpose of this study is to shed light on the predictors of organizational preparedness for natural disasters. Since leaders of organizations have an incentive to overstate their level of preparedness and because surveys of organizational leaders suffer from selection bias and low response rates, we take the novel approach of interviewing employees about the organizations that employ them. Using an online survey, we collected information from a national sample of 2,008 U.S. employees and estimated the predictors of preparedness at the organizational level. We find, among other results, that organization size (facility level) is a consistent predictor of preparedness at the organizational level. We conclude with policy recommendations and outline an agenda for future research on organizational preparedness for natural disasters. PMID:26332326

  20. Predictors of Childhood Anxiety: A Population-Based Cohort Study

    PubMed Central

    2015-01-01

    Background Few studies have explored predictors of early childhood anxiety. Objective To determine the prenatal, postnatal, and early life predictors of childhood anxiety by age 5. Methods Population-based, provincial administrative data (N = 19,316) from Manitoba, Canada were used to determine the association between demographic, obstetrical, psychosocial, medical, behavioral, and infant factors on childhood anxiety. Results Risk factors for childhood anxiety by age 5 included maternal psychological distress from birth to 12 months and 13 months to 5 years post-delivery and an infant 5-minute Apgar score of ≤7. Factors associated with decreased risk included maternal age < 20 years, multiparity, and preterm birth. Conclusion Identifying predictors of childhood anxiety is a key step to early detection and prevention. Maternal psychological distress is an early, modifiable risk factor. Future research should aim to disentangle early life influences on childhood anxiety occurring in the prenatal, postnatal, and early childhood periods. PMID:26158268

  1. Genetic predictors of response to photodynamictherapy.

    PubMed

    Parmeggiani, Francesco; Gemmati, Donato; Costagliola, Ciro; Semeraro, Francesco; Perri, Paolo; D'Angelo, Sergio; Romano, Mario R; De Nadai, Katia; Sebastiani, Adolfo; Incorvaia, Carlo

    2011-08-01

    In Western countries, therapeutic management of patients affected by choroidal neovascularization (CNV) secondary to different typologies of macular degeneration represents a major health care problem. Age-related macular degeneration is the disease most frequently associated with CNV development. Schematically, CNVs can be distinguished into classic and occult subtypes, which are characterized by variable natural history and different responsiveness to some therapeutic procedures. At present, the dramatic vision loss due to CNV can be mainly treated by two interventional strategies, which are utilizable in either single or combined modalities: photodynamic therapy with verteporfin (PDT-V), and intravitreal administration of drugs acting against vascular endothelial growth factor. The combined use of PDT-V and anti-angiogenic drugs represents one of the most promising strategies against neovascular macular degeneration, but it unavoidably results in an expensive increase in health resource utilization. However, the positive data from several studies serve as a basis for reconsidering the role of PDT-V, which has undergone a renaissance prompted by the need for a more rational therapeutic approach toward CNV. New pharmacogenetic knowledge of PDT-V points to exploratory prospects to optimize the clinical application of this intriguing photothrombotic procedure. In fact, a Medline search provides data regarding the role of several single nucleotide polymorphisms (SNPs) as genetic predictors of CNV responsiveness to PDT-V. Specifically, correlations between SNPs and different levels of PDT-V efficacy have been detected by examining the gene variants influencing (i) thrombo-coagulative pathways, i.e. methylenetetrahydrofolate reductase (MTHFR) 677C>T (rs1801133), factor V (F5) 1691G>A (rs6025), prothrombin (F2) 20210G>A (rs1799963), and factor XIII-A (F13A1) 185G>T (rs5985); (ii) complement activation and/or inflammatory processes, i.e. complement factor H (CFH) 1277T

  2. Can we automatically extract predictors from observational data?

    NASA Astrophysics Data System (ADS)

    Huang, Xin; Wang, Huaning

    2016-07-01

    Many statistical and machine learning methods have been used to build solar flare forecasting model. These methods rely on physical characteristics of an active region, for example, morphological classification of sunspots and magnetic field parameters of an active region. However, these predictors are correlated with each other and have limited forecasting ability. Here, we present a method which can automatically extract predictors and build a solar flare forecasting model from observational data. Comparing with the conventional model, we obtain the better forecasting performances in our testing dataset.

  3. Sex differences in predictors of ischemic stroke: current perspectives

    PubMed Central

    Samai, Alyana A; Martin-Schild, Sheryl

    2015-01-01

    Globally, stroke is a significant public health concern affecting more than 33 million individuals. Of growing importance are the differences between males and females in the predictors and overall risk of stroke. Given that women have a higher lifetime risk for stoke and account for more than half of all stroke deaths, sex-specific stroke risk factors merit investigation and may help target public health interventions. This review aims to discuss the current body of knowledge regarding sex-specific predictors of ischemic stroke including both modifiable and non-modifiable risk factors, as well as specific pathologies known to increase stroke risk. PMID:26251609

  4. 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. PMID:23778040

  5. Prestroke family interaction as a predictor of stroke outcome.

    PubMed

    Evans, R L; Bishop, D S; Matlock, A L; Stranahan, S; Halar, E M; Noonan, W C

    1987-08-01

    The Family of Assessment Device and clinical data for 60 stroke patients were used to predict outcome at six months and one year poststroke. Ratings of behavior control and affective responsiveness of the family predicted number of days of rehospitalization during the study. Problem solving scores, family communication skills, and patient self-care ability predicted family-rated patient adjustment. Family function was a better predictor of hospital stay than baseline ratings of typical predictors of stroke outcome. Family function represents an area for potential stroke intervention that may have more relevance to efficient health care delivery and the clinical status of stroke patients than has previously been noted. PMID:3619614

  6. Optimising predictor domains for spatially coherent precipitation downscaling

    NASA Astrophysics Data System (ADS)

    Radanovics, S.; Vidal, J.-P.; Sauquet, E.; Ben Daoud, A.; Bontron, G.

    2012-04-01

    Relationships between local precipitation (predictands) and large-scale circulation (predictors) are used for statistical downscaling purposes in various contexts, from medium-term forecasting to climate change impact studies. For hydrological purposes like flood forecasting, the downscaled precipitation spatial fields have furthermore to be coherent over possibly large basins. This thus first requires to know what predictor domain can be associated to the precipitation over each part of the studied basin. This study addresses this issue by identifying the optimum predictor domains over the whole of France, for a specific downscaling method based on a analogue approach and developed by Ben Daoud et al. (2011). The downscaling method used here is based on analogies on different variables: temperature, relative humidity, vertical velocity and geopotentials. The optimum predictor domain has been found to consist of the nearest grid cell for all variables except geopotentials (Ben Daoud et al., 2011). Moreover, geopotential domains have been found to be sensitive to the target location by Obled et al. (2002), and the present study thus focuses on optimizing the domains of this specific predictor over France. The predictor domains for geopotential at 500 hPa and 1000 hPa are optimised for 608 climatologically homogeneous zones in France using the ERA-40 reanalysis data for the large-scale predictors and local precipitation from the Safran near-surface atmospheric reanalysis (Vidal et al., 2010). The similarity of geopotential fields is measured by the Teweles and Wobus shape criterion. The predictive skill of different predictor domains for the different regions is tested with the Continuous Ranked Probability Score (CRPS) for the 25 best analogue days found with the statistical downscaling method. Rectangular predictor domains of different sizes, shapes and locations are tested, and the one that leads to the smallest CRPS for the zone in question is retained. The

  7. Is Motivation a Predictor of Foreign Language Learning?

    ERIC Educational Resources Information Center

    Taguchi, Kazuyo

    2006-01-01

    This article reports an investigation into the factors that facilitate language learning. The first strand examines whether motivation is a predictor of as is widely accepted. In order to confirm this, Grade 10 students' motivation level was measured using two questions. Language gains were also measured and compared with the motivation level. The…

  8. Adulthood Predictors of Health Promoting Behavior in Later Aging

    ERIC Educational Resources Information Center

    Holahan, Carole K.; Suzuki, Rie

    2004-01-01

    This study investigated adulthood predictors of health-promoting behavior in later aging. The participants were 162 members of the Terman Study of the Gifted (Terman et al., 1925), who responded in 1999 at an average age of 86 to a mailout questionnaire which included questions concerning their positive health behavior. Adulthood variables were…

  9. Predictors of Life Satisfaction in Individuals with Intellectual Disabilities

    ERIC Educational Resources Information Center

    Miller, S. M.; Chan, F.

    2008-01-01

    Background: The purpose of this study was to examine factors that predict life satisfaction in individuals with intellectual disabilities (ID). Two groups of variables were studied: life skills (interpersonal, instrumental and leisure) and higher-order predictors (social support, self-determination and productivity). Method: Fifty-six participants…

  10. Student Persistence Predictors and Community College Institutional Effectiveness

    ERIC Educational Resources Information Center

    Shelley, Jeffrey Lee

    2013-01-01

    The purpose of this study was to expand the literature on student persistence in community colleges through three research innovations. First, the literature on student persistence in community colleges was expanded by applying theory to the identification and testing of predictors. Second, it was expanded by validating retention prediction…

  11. Neurocognitive Predictors of Reading Outcomes for Children with Reading Disabilities

    ERIC Educational Resources Information Center

    Frijters, Jan C.; Lovett, Maureen W.; Steinbach, Karen A.; Wolf, Maryanne; Sevcik, Rose A.; Morris, Robin D.

    2011-01-01

    This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the…

  12. 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…

  13. Predictors of Autism Enrollment in Public School Systems

    ERIC Educational Resources Information Center

    Boswell, Katelyn; Zablotsky, Benjamin; Smith, Christopher

    2014-01-01

    With a number of disparities present in the diagnosis and treatment of children with autism spectrum disorders, the education system plays a crucial role in the provision of both these service elements. Based on school and federal census data, this article examines one state's public school autism enrollment and possible predictors of…

  14. Predictors of College Student Suicidal Ideation: Gender Differences

    ERIC Educational Resources Information Center

    Stephenson, Hugh; Pena-Shaff, Judith; Quirk, Priscilla

    2006-01-01

    There is a need to identify students at risk for suicide. Predictors of suicidality were examined separately for men and women in a college health survey of 630 students. Women reported higher levels of suicidal ideation than men in the previous year. Separate regression analyses for men and women accounted for significant amounts of the variance…

  15. Beyond Health and Wealth: Predictors of Women's Retirement Satisfaction

    ERIC Educational Resources Information Center

    Price, Christine A.; Balaswamy, Shantha

    2009-01-01

    Despite empirical support for the positive effects of health and wealth on retirement satisfaction, alternative variables also play a key role in helping to shape women's assessment of retirement. In the present study, we explore personal and psychosocial predictors of women's retirement satisfaction while controlling for financial security and…

  16. Children's Rorschach Scores as Predictors of Later Adjustment.

    ERIC Educational Resources Information Center

    Tuber, Steven B.

    1983-01-01

    Tested the hypothesis that Rorschach measures of object relations and thought organization could help predict later adjustment. Former patients (N=70) at a child residential treatment center were followed up as adults. Object relations measures were found to be effective discriminators and predictors of later rehospitalization for boys. (JAC)

  17. Comparison of Four Methods for Weighting Multiple Predictors.

    ERIC Educational Resources Information Center

    Aamodt, Michael G.; Kimbrough, Wilson W.

    1985-01-01

    Four methods were used to weight predictors associated with a Resident Assistant job: (1) rank order weights; (2) unit weights; (3) critical incident weights; and (4) regression weights. A cross-validation was also done. Most weighting methods were highly related. No method was superior in terms of protection from validity shrinkage. (GDC)

  18. Predictors of Organizational Commitment among Staff in Assisted Living

    ERIC Educational Resources Information Center

    Sikorska-Simmons, Elzbieta

    2005-01-01

    Purpose: This study examines the role of organizational culture, job satisfaction, and sociodemographic characteristics as predictors of organizational commitment among staff in assisted living. It is particularly important to examine organizational commitment, because of its close links to staff turnover. Design and Methods: Data were collected…

  19. Predictors of weight loss in Mexican American adolescents

    Technology Transfer Automated Retrieval System (TEKTRAN)

    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...

  20. Predictors of Depressive Symptoms among Inpatient Substance Abusers

    ERIC Educational Resources Information Center

    Diaz, Naelys; Green, Diane; Horton, Eloise G.

    2009-01-01

    The existing literature indicates high comorbidity rates between depressive disorders and substance abuse disorders. Despite these elevated rates, there is limited empirical work devoted to understanding predictors of depressive symptoms among substance abusers. The aim of this study was to examine the effect of spirituality, believing in God's…

  1. Confidence: The Best Non-Cognitive Predictor of Academic Achievement?

    ERIC Educational Resources Information Center

    Stankov, Lazar; Morony, Suzanne; Lee, Yim Ping

    2014-01-01

    Recent efforts to identify non-cognitive predictors of academic achievement and school success have largely focused on self-constructs such as self-efficacy, self-concept and anxiety that are measured with respect to a specific domain (e.g. mathematics). We extend the measurement of the non-cognitive realm in education to incorporate both social…

  2. Predictors of Burnout in Community College Faculty: A Regression Analysis

    ERIC Educational Resources Information Center

    Phronebarger, Andrea L.

    2014-01-01

    The present study was conducted in an effort to develop a model to predict "burnout" in community college faculty members using the demographic predictors of employment status, teaching load, age, teaching experience and gender. Originally termed by Herbert Freudenberger in 1974, burnout is a phenomenon that has been investigated in a…

  3. Predictors of Condom Use in Latino Migrant Day Laborers

    ERIC Educational Resources Information Center

    Organista, Kurt C.; Ehrlich, Samantha F.

    2008-01-01

    This article reports on predictors of condom use with casual female sex partners on the part of Latino migrant day laborers in the San Francisco Bay Area. Results come from a secondary analysis of data from a cross-sectional survey using convenience sampling to interview 290 sexually active adult, male, migrant Latino day laborers. Regression…

  4. Clinical, laboratorial and radiographic predictors of Bordetella pertussis infection☆

    PubMed Central

    Bellettini, Camila Vieira; de Oliveira, Andressa Welter; Tusset, Cintia; Baethgen, Ludmila Fiorenzano; Amantéa, Sérgio Luís; Motta, Fabrizio; Gasparotto, Aline; Andreolla, Huander Felipe; Pasqualotto, Alessandro C.

    2014-01-01

    OBJECTIVE: To identify clinical, laboratorial and radiographic predictors for Bordetella pertussis infection. METHODS: This was a retrospective study, which analyzed medical records of all patients submitted to a molecular dignosis (qPCR) for B. pertussis from September 2011 to January 2013. Clinical and laboratorial data were reviewed, including information about age, sex, signs/symptoms, length of hospitalization, blood cell counts, imaging findings, coinfection with other respiratory pathogens and clinical outcome. RESULTS: 222 cases were revised. Of these, 72.5% had proven pertussis, and 60.9% were under 1 year old. In patients aging up to six months, independent predictors for B. pertussis infection were (OR 8.0, CI 95% 1.8-36.3; p=0.007) and lymphocyte count >104/µL (OR 10.0, CI 95% 1.8-54.5; p=0.008). No independent predictors of B. pertussis infection could be determined for patients older than six months. Co-infection was found in 21.4% of patients, of which 72.7% were up to six months of age. Adenovirus was the most common agent (40.9%). In these patients, we were not able to identify any clinical features to detect patients presenting with a respiratory co-infection, even though longer hospital stay was observed in patients with co-infections (12 vs. 6 days; p=0.009). CONCLUSIONS: Cyanosis and lymphocytosis are independent predictors for pertussis in children up to 6 months old. PMID:25510991

  5. Predictors of Negative Spillover from Family to Work

    ERIC Educational Resources Information Center

    Dilworth, Jennie E. Long

    2004-01-01

    Prior research has inconsistently documented the gendered nature of negative spillover between the domains of home and work. Little is known about predictors of negative spillover for employed mothers and fathers. Using the 1997 wave of the National Study of the Changing Workforce, this study's purpose was twofold: to determine if a difference…

  6. Early Predictors of Adolescent Depression: A 7-Year Longitudinal Study

    ERIC Educational Resources Information Center

    Mazza, James J.; Abbott, Robert D.; Fleming, Charles B.; Harachi, Tracy W.; Cortes, Rebecca C.; Park, Jisuk; Haggerty, Kevin P.; Catalano, Richard F.

    2009-01-01

    This study examined the longitudinal relationship of early elementary predictors to adolescent depression 7 years later. The sample consisted of 938 students who have been part of a larger longitudinal study that started in 1993. Data collected from parents, teachers, and youth self-reports on early risk factors when students were in 1st and 2nd…

  7. Predictors of Home Based Long-Term Care Services.

    ERIC Educational Resources Information Center

    Luppens, Jean; And Others

    An attempt was made to determine predictors of service need, use, and outcome among chronically impaired adults and aged who were living in the community and using the home-based, long term care services of the Chronic Illness Center (CIC) of the Cuyahoga County Hospitals (Ohio). Randomly selected consumer service records (N=200) were coded for…

  8. Executive Functions as Predictors of Math Learning Disabilities

    ERIC Educational Resources Information Center

    Toll, Sylke W. M.; Van der Ven, Sanne H. G.; Kroesbergen, Evelyn H.; Van Luit, Johannes E. H.

    2011-01-01

    In the past years, an increasing number of studies have investigated executive functions as predictors of individual differences in mathematical abilities. The present longitudinal study was designed to investigate whether the executive functions shifting, inhibition, and working memory differ between low achieving and typically achieving children…

  9. Intergenerational Family Predictors of the Black-White Achievement Gap

    ERIC Educational Resources Information Center

    Mandara, Jelani; Varner, Fatima; Greene, Nereira; Richman, Scott

    2009-01-01

    The authors examined intergenerational family predictors of the Black-White achievement gap among 4,406 adolescents from the National Longitudinal Survey of Youth. An intergenerational model of the process by which family factors contribute to the achievement gap was also tested. The results showed that the ethnic gaps in socioeconomic status…

  10. Social Predictors of Sunscreen and Self-Tanning Product Use

    ERIC Educational Resources Information Center

    Mosher, Catherine E.; Danoff-Burg, Sharon

    2005-01-01

    This study investigated social predictors of sunscreen and self-tanning product use among 164 undergraduates. Immediate family members' sunscreen use predicted participants' facial sunscreen use while sunbathing but not their sunscreen use on other areas of the body. In addition, familial support of a tanned appearance was inversely associated…

  11. Examining the Changing Influence of Predictors on Adolescent Alcohol Misuse

    ERIC Educational Resources Information Center

    Tyler, Kim A.; Stone, Rosalie Torres; Bersani, Bianca

    2007-01-01

    The purpose of this study was to examine whether the influence of key characteristics on adolescent alcohol misuse (i.e., maternal binge drinking, parenting, peers, school characteristics, and the adolescent's own behavior) change over time and whether predictors of adolescent alcohol misuse vary by gender and race/ethnicity. Using prospective,…

  12. Predictors of Appraisal and Coping Dimensions in Myocardial Infarction Victims.

    ERIC Educational Resources Information Center

    Lee, Hyong Sil; Martin, Peter

    This study attempted to identify predictors of perception and coping after the occurrence of a myocardial infarction. Sixty males and 17 females who had suffered from a myocardial infarction within 3 months prior to the research were recruited from a hospital rehabilitation program. Subjects completed the Peri-Life Events Scale, the 16-PF…

  13. Anxiety, Stress and Social Support: Prenatal Predictors of Obstetrical Outcomes.

    ERIC Educational Resources Information Center

    Nethercut, Gail; Adler, Nancy

    The role of anxiety, stress, and social support in predicting negative obstetrical outcomes was examined in a high-risk group of pregnant women. The predictor variables were assessed with separate self-report scales, including The Sarason Life Experience Survey, the Spielberger State/Trait Inventory, and a modified version of the Lazarus and Cohen…

  14. Predictors of Adult Attitudes toward Corporal Punishment of Children

    ERIC Educational Resources Information Center

    Gagne, Marie-Helene; Tourigny, Marc; Joly, Jacques; Pouliot-Lapointe, Joelle

    2007-01-01

    This study identifies predictors of favorable attitudes toward spanking. Analyses were performed with survey data collected from a representative sample of 1,000 adults from Quebec, Canada. According to this survey, a majority of respondents endorsed spanking, despite their recognition of potential harm associated with corporal punishment (CP) of…

  15. Trends and Predictors of Alcohol Use among Undergraduate Female Students.

    ERIC Educational Resources Information Center

    Ozegovic, Jelena Jovanovic; Bikos, Lynette Heim; Szymanski, Dawn M.

    2001-01-01

    Examines drinking patterns of female college students and evaluates the contributions of age, sorority membership, emotional pain, and peer acceptance on both frequency and quantity of alcohol consumption. Results indicate that sorority membership and emotional pain were significant predictors of frequency of alcohol consumption; and age, sorority…

  16. Predictors of Obesity Bias among Exercise Science Students

    ERIC Educational Resources Information Center

    Langdon, Jody; Rukavina, Paul; Greenleaf, Christy

    2016-01-01

    The purpose of the present study was to investigate particular psychosocial predictors of obesity bias in prehealth professionals, which include the internalization of athletic and general body ideals, perceived media pressure and information, and achievement goal orientations. Exercise science undergraduate students (n = 242) filled out a survey…

  17. Student Pathways at the University: Patterns and Predictors of Completion

    ERIC Educational Resources Information Center

    Tumen, Sarah; Shulruf, Boaz; Hattie, John

    2008-01-01

    This article outlines a longitudinal pathway analysis of student performance within educational institutions, so as to identify student profiles which describe those groups of students who are more likely to complete or leave a bachelor degree program, and to identify the predictors for these outcomes. The analyses are based on 7314 undergraduate…

  18. Predictors of Heterosexual College Students' Attitudes toward LGBT People

    ERIC Educational Resources Information Center

    Woodford, Michael R.; Silverschanz, Perry; Swank, Eric; Scherrer, Kristin S.; Raiz, Lisa

    2012-01-01

    This study identifies the predictors of U.S. heterosexual undergraduate and graduate college students' attitudes toward lesbian, gay, bisexual, and transgender (LGBT) people as a group rather than toward individual identities. Findings suggest that affirming LGBT attitudes are most strongly associated with liberal political ideology and whether…

  19. Relational Aggression in Middle Childhood: Predictors and Adolescent Outcomes

    ERIC Educational Resources Information Center

    Spieker, Susan J.; Campbell, Susan B.; Vandergrift, Nathan; Pierce, Kim M.; Cauffman, Elizabeth; Susman, Elizabeth J.; Roisman, Glenn I.

    2012-01-01

    This study examined gender differences in the level and developmental course of relational aggression in middle childhood, as well as early predictors and outcomes of relational aggression, after controlling for concurrent physical aggression. Relational (RAgg) and Physical aggression (PAgg) scores for 558 boys and 545 girls at the ages of eight…

  20. Relative Strengths of Predictors of Middle School Girls' Suspendable Offenses

    ERIC Educational Resources Information Center

    Cavanaugh, Barbara Harlow

    2009-01-01

    This study determines the relative strength of predictors of school violence among a sample of 229 girls enrolled in a single middle school. The four-part questionnaire, comprising sociodemographic items, a school violence inventory, a self-esteem scale, and an attitudes toward violence scale, measured school violence in terms of suspendable…

  1. Predictors of Familial Acculturative Stress in Asian American College Students

    ERIC Educational Resources Information Center

    Castillo, Linda G.; Zahn, Marion P.; Cano, Miguel A.

    2012-01-01

    The authors examined the predictors of familial acculturative stress in 85 Asian American college students. Participants were primarily 1st- and 2nd-generation U.S. citizens. Results showed that perceived acculturative family conflict and family intragroup marginalization were related to higher levels of familial acculturative stress for…

  2. Predictors of Expressive Vocabulary Growth in Children with Autism

    ERIC Educational Resources Information Center

    Smith, Veronica; Mirenda, Pat; Zaidman-Zait, Anat

    2007-01-01

    Purpose: The purpose of this exploratory study was to examine the variability and predictors of expressive vocabulary development in children with autism and very delayed language. Method: This study involved 35 children with autism whose initial chronological ages were between 20 and 71 months and whose initial expressive vocabularies were less…

  3. Ten Years down the Road: Predictors of Driving Cessation

    ERIC Educational Resources Information Center

    Edwards, Jerri D.; Bart, Edward; O'Connor, Melissa L.; Cissell, Gayla

    2010-01-01

    Purpose: Recent prospective studies have found that cognition is a more salient predictor of driving cessation than physical performance or demographic factors among community-dwelling older adults. However, these studies have been limited to 5 years of follow-up. The current study used data from the Maryland Older Drivers Project to examine…

  4. Showing the Love: Predictors of Student Loyalty to Undergraduate Institutions

    ERIC Educational Resources Information Center

    Vianden, Jörg; Barlow, Patrick J.

    2014-01-01

    This article advances the notion that undergraduates may be considered student-customers whose relationship with and loyalty to their institutions can be managed by college educators. The Student University Loyalty Instrument administered to 1,207 undergraduates at three comprehensive Midwestern institutions assessed the predictors of student…

  5. Early Predictors of School Performance Declines at School Transition Points

    ERIC Educational Resources Information Center

    Malaspina, Diane; Rimm-Kaufman, Sara E.

    2008-01-01

    This longitudinal study followed students (n = 265) from kindergarten through seventh grade and examined early social and academic predictors of school performance at two normative school transitions. Questions addressed include: (a) are there changes in students' school performance over time, especially at school transition points; (b) are…

  6. Predictors of Adolescent Breakfast Consumption: Longitudinal Findings from Project EAT

    ERIC Educational Resources Information Center

    Bruening, Meg; Larson, Nicole; Story, Mary; Neumark-Sztainer, Dianne; Hannan, Peter

    2011-01-01

    Objective: To identify predictors of breakfast consumption among adolescents. Methods: Five-year longitudinal study Project EAT (Eating Among Teens). Baseline surveys were completed in Minneapolis-St. Paul schools and by mail at follow-up by youth (n = 800) transitioning from middle to high school. Linear regression models examined associations…

  7. Maternal and Child Predictors of Preschool Children's Social Competence

    ERIC Educational Resources Information Center

    Diener, Marissa L.; Kim, Do-Yeong

    2004-01-01

    The present study examined child and maternal predictors of children's social competence in preschool. One hundred ten mothers and their preschool-aged children participated. Mothers completed parent reports of child temperament and self-regulation, and self-reports of maternal separation anxiety. Mothers' interactional style was coded from…

  8. Excavating Culture: Ethnicity and Context as Predictors of Parenting Behavior

    ERIC Educational Resources Information Center

    Hill, Nancy E.; Tyson, Diana F.

    2008-01-01

    Ethnic, socioeconomic, and contextual predictors of parenting and family socialization practices were examined among African American and European American families. This is one of a set of coordinated studies presented in this special issue (Le et al.). With the goal of sampling African American and European American children and families that…

  9. Predictors of African American Adolescent Sexual Activity: An Ecological Framework.

    ERIC Educational Resources Information Center

    Mandara, Jelani; Murray, Carolyn B.; Bangi, Audrey K.

    2003-01-01

    Investigated predictors of African American adolescent sexual activity, testing an ecological model of risk factors influencing sexual activity. Data collected over three years indicated that risk factors at the personal, familial, and extrafamilial levels of adolescents' social ecology related to being a virgin or not. Males and older adolescents…

  10. Clinical predictors of therapeutic response to antipsychotics in schizophrenia

    PubMed Central

    Carbon, Maren; Correll, Christoph U.

    2014-01-01

    The search for clinical outcome predictors for schizophrenia is as old as the field of psychiatry. However, despite a wealth of large, longitudinal studies into prognostic factors, only very few clinically useful outcome predictors have been identified. The goal of future treatment is to either affect modifiable risk factors, or use nonmodifiable factors to parse patients into therapeutically meaningful subgroups. Most clinical outcome predictors are nonspecific and/or nonmodifiable. Nonmodifiable predictors for poor odds of remission include male sex, younger age at disease onset, poor premorbid adjustment, and severe baseline psychopathology. Modifiable risk factors for poor therapeutic outcomes that clinicians can act upon include longer duration of untreated illness, nonadherence to antipsychotics, comorbidities (especially substance-use disorders), lack of early antipsychotic response, and lack of improvement with non-clozapine antipsychotics, predicting clozapine response. It is hoped that this limited capacity for prediction will improve as pathophysiological understanding increases and/or new treatments for specific aspects of schizophrenia become available. PMID:25733955

  11. Educational Research in Educational Practice: Predictors of Use

    ERIC Educational Resources Information Center

    Lysenko, Larysa V.; Abrami, Philip C.; Dagenais, Christian; Janosz, Michel

    2014-01-01

    This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…

  12. Family and Individual Predictors of Late Adolescents' Romantic Relationships.

    ERIC Educational Resources Information Center

    Reese-Weber, Marla; Marchand, Jennifer F.

    2002-01-01

    Studied parent-adolescent conflict and late adolescents' attachment anxiety and depressive symptoms as predictors of late adolescents' romantic relationships. Findings based on questionnaire responses of 256 college students highlight the differential roles of familial and individual attributes in female and male adolescents' romantic relationship…

  13. Predictors of Gender Inequalities in the Rank of Full Professor

    ERIC Educational Resources Information Center

    Heijstra, Thamar; Bjarnason, Thoroddur; Rafnsdóttir, Gudbjörg Linda

    2015-01-01

    This article examines whether age, work-related, and family-related predictors explain differences in the academic advancement of women and men in Iceland. Survey data were analyzed by binary logistic regression. The findings put that women climb the academic career ladder at a slower pace than men. This finding puts one of the widely known…

  14. Predictors of Organizational Commitment: Variations across Career Stages.

    ERIC Educational Resources Information Center

    Brooks, Jan Leeman; Seers, Anson

    1991-01-01

    The matching of 5 predictors of organizational commitment with 5 career stages was investigated with a sample of 1,536 Air Force employees. Between- and within-stage analysis showed that team cohesion was stronger during second stage, job challenge during third, supervisor behavior during fourth, and organizational climate during fifth.…

  15. Video Game Strategies as Predictors of Academic Achievement

    ERIC Educational Resources Information Center

    Hamlen, Karla R.

    2014-01-01

    The purpose of this study was to investigate relationships between strategies students use to overcome challenges in both video games and homework assignments, and whether or not these are predictors of academic performance in school. Data were collected through an online survey of students, primarily in middle and high school, assessing both…

  16. Predictors of Substance Abuse Treatment Outcomes in Tennessee.

    ERIC Educational Resources Information Center

    Kedia, Satish; Williams, Charles

    2003-01-01

    Identifies and analyzes several variables important in predicting the likelihood of abstinence among substance abuse clients. Data was collected from 1,350 clients treated for alcohol or drug abuse in residential, halfway house, or outpatient facilities. Analyzing 22 variables as possible treatment outcome predictors, results found one…

  17. Predictors of Running Away from Family Foster Care

    ERIC Educational Resources Information Center

    Nesmith, Andrea

    2006-01-01

    Running away is a frequent but little studied phenomenon among adolescents in foster care. Repeated running from care often leads to premature discharge and homelessness for youth. This article uses cumulative risk theory in the context of normative adolescent development to investigate predictors of running away from foster care. Results indicate…

  18. 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…

  19. Early Temperamental and Family Predictors of Shyness and Anxiety

    ERIC Educational Resources Information Center

    Volbrecht, Michele M.; Goldsmith, H. Hill

    2010-01-01

    With a sample of 242 twins (135 girls, 107 boys) studied longitudinally, behavioral inhibition (BI) and inhibitory control (IC) measured at 3 years, as well as early and concurrent family process variables, were examined as predictors of shyness and of anxiety symptoms approximately 4 years later. Structured observational data from laboratory and…

  20. Epistemological Predictors of Prospective Biology Teachers' Nature of Science Understandings

    ERIC Educational Resources Information Center

    Köseoglu, Pinar; Köksal, Mustafa Serdar

    2015-01-01

    The purpose of this study was to investigate epistemological predictors of nature of science understandings of 281 prospective biology teachers surveyed using the Epistemological Beliefs Scale Regarding Science and the Nature of Science Scale. The findings on multiple linear regression showed that understandings about definition of science and…

  1. 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…

  2. Predictors of Sexual Offence Recidivism in Offenders with Intellectual Disabilities

    ERIC Educational Resources Information Center

    Lindsay, William R.; Elliot, Susanne F.; Astell, Arlene

    2004-01-01

    Background: The extensive research on prediction of risk in offenders has developed a number of reliable static risk predictors. There is also a developing body of work on proximal, dynamic risk factors and their importance in predicting violent and sexual offending. Although this work has not been done specifically on offenders with intellectual…

  3. Cognitive Predictors of Children's Attitudes toward Alcohol and Cocaine.

    ERIC Educational Resources Information Center

    Bridges, Lisa J.; Sigelman, Carol K.; Brewster, Albert B.; Leach, Diane B.; Mack, Keisha L.; Rinehart, Cheryl S.; Sorongon, Alberto G.

    2003-01-01

    Examines age differences in, and associations among, children's attitudes and intentions regarding alcohol and cocaine use and possible cognitive underpinnings of such orientations. Attitudes and intentions were negative and became less negative with age for alcohol, but more negative with age for cocaine. The cognitive predictors contributed to…

  4. Change in Autism Classification with Early Intervention: Predictors and Outcomes

    ERIC Educational Resources Information Center

    Ben Itzchak, Esther; Zachor, Ditza A.

    2009-01-01

    The current study characterized stability and changes of autism diagnostic classification with intervention in very young children and examined pre-treatment predictors and post-intervention outcome. Sixty-eight children diagnosed with autism, aged 18-35 months (M = 25.4, SD = 4.0) participated in the study. Children underwent comprehensive…

  5. Rates and Predictors of Sexual Aggression Among Students and Nonstudents

    ERIC Educational Resources Information Center

    Buddie, Amy M.; Testa, Maria

    2005-01-01

    The authors compared rates and predictors of sexual aggression for women attending college with those of women from the same population who were not attending college. Because it has been suggested that less parental monitoring at college may be associated with risky behaviors that contribute to sexual aggression, they also compared rates and…

  6. Predictors of Psychological Distress among Infertility Clinic Patients.

    ERIC Educational Resources Information Center

    Morrow, Kelly A.; And Others

    1995-01-01

    Investigated predictors of psychological distress among infertility clinic patients. Analyses indicated that infertile men and women reported greater psychological distress than the general population. Self-blame and avoidance coping significantly predicted psychological distress among men and women. Increased age and childlessness added to…

  7. Predictors of Parenting Stress for Abusive and Nonabusive Mothers

    ERIC Educational Resources Information Center

    McPherson, Andrea V.; Lewis, Kristen M.; Lynn, Amy E.; Haskett, Mary E.; Behrend, Tara S.

    2009-01-01

    We examined a model of parenting stress for abusive mothers (n = 80) and nonabusive mothers (n = 86) using linear regression analyses. Predictors in the model included (a) the degree to which mothers were bothered by child misbehavior, (b) mothers' general psychological functioning, and (c) observed child behavior during parent-child interactions.…

  8. Predictors of Self-Assessed Health among Elderly Post Hospitalization.

    ERIC Educational Resources Information Center

    Lurie, Elinore; And Others

    Self-assessment of health incorporates both objective and subjective elements into a general state with implications for health-related behavior. To examine the predictors of self-assessed health in an elderly, post-hospitalization population, 73 adults, 65 years of age or older, were asked to assess the status of the condition for which they were…

  9. Predictors of Generalized Indecision among Portuguese Secondary School Students.

    ERIC Educational Resources Information Center

    Santos, Paulo Jorge

    2001-01-01

    Portuguese secondary students (n=345) completed measures of generalized indecision, psychological separation, vocational identity, self-esteem, locus of control, and anxiety. The most significant predictor of indecision was trait anxiety. Generalized indecision was associated with external locus of control, low self-esteem, low level of…

  10. Predictors of Sense of Belonging for Students with Psychological Conditions

    ERIC Educational Resources Information Center

    Mackie, Michele Matteo

    2013-01-01

    The purpose of this study was to develop a portrait of students with psychological conditions, to determine the predictors of sense of belonging for these students, and to draw comparisons between the collegiate experiences of students with, and those without, psychological conditions. Using data from the 2009 Multi-Institutional Study of…

  11. Predictors of Career Decision-Making Self-Efficacy.

    ERIC Educational Resources Information Center

    Gianakos, Irene

    2001-01-01

    College students (n=209) completed the Career Decision-Making Self-Efficacy (CDMSE) Scale, Self-Reliance Inventory, and Work Preferences Scale. Counterdependence (distancing) was negatively related to CDMSE. Self-reliance, work preference, and gender variables were significant predictors of CDMSE. (Contains 27 references.) (SK)

  12. Perceived Parenting Styles as Predictor of Internet Addiction in Adolescence

    ERIC Educational Resources Information Center

    Dogan, Huseyin; Bozgeyikli, Hasan; Bozdas, Canan

    2015-01-01

    This study examined the perceived parenting styles as predictors of Internet addiction in adolescence. The participants of the study were a total of 419 high school students including 238 girl and 181 boy students whose mean age was 16.5. Personal information form, "Internet Addiction Test" and "Perceived Parenting Style Scale"…

  13. Micro- and Macrosystem Predictors of High School Male Suicidal Behaviors

    ERIC Educational Resources Information Center

    Beck-Cross, Cathy; Cooper, Robyn

    2015-01-01

    Suicide is the third leading cause of death among young people ages 15 to 19 years, with male adolescents four times more likely to die than their female peers. This study used Bronfenbrenner's bioecological model to examine micro- and macrosystems as predictors of suicidal behaviors through responses by male adolescents (N = 9,910) to a statewide…

  14. Predictors of Relationship Power among Drug-involved Women

    PubMed Central

    Campbell, Aimee N. C.; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V.

    2012-01-01

    Gender-based relationship power is frequently linked to women’s capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded Sexual Relationship Power Scale (SRPS), among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use x partner abuse and age x sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions. PMID:22614746

  15. Socio-economic Predictors of Alienation among the Elderly.

    ERIC Educational Resources Information Center

    Durant, Thomas J., Jr.; Christian, Ollie

    1990-01-01

    Studied level of alienation and associations between socioeconomic variables and alienation in 200 older senior center clients. Found group isolation and powerlessness were more prevalent than personal isolation or normlessness; health, race, education, and income were strongest predictors of alienation; and older Blacks and those with lower…

  16. Predictors of Postural Stability in Children with ADHD

    ERIC Educational Resources Information Center

    Ghanizadeh, Ahmad

    2011-01-01

    Objective: As children with ADHD who have more inattention problems are more frequently with fine motor problems, it is not clear whether postural balance problems are associated with different subtypes of ADHD. This study investigates the predictors of postural stability in children with ADHD considering the covariant factors of age, gender, and…

  17. Concurrent and Longitudinal Predictors of Calculation Skills in Preschoolers

    ERIC Educational Resources Information Center

    Tobia, Valentina; Bonifacci, Paola; Marzocchi, Gian Marco

    2016-01-01

    Early calculation abilities in preschoolers are predictive of mathematics achievement in subsequent grades (e.g., Jordan et al. 2009). Two studies were conducted to evaluate concurrent and longitudinal predictors of early calculation skills. In the first study, 102 preschoolers (57.8% female; mean age?=?60.57?±?8.66 months) were given vocabulary,…

  18. Using Dominance Analysis to Determine Predictor Importance in Logistic Regression

    ERIC Educational Resources Information Center

    Azen, Razia; Traxel, Nicole

    2009-01-01

    This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic regression R[superscript 2] analogues were determined and measures were selected that can be used to perform dominance analysis in logistic regression. A…

  19. Predictors of Academic Procrastination in Asian International College Students

    ERIC Educational Resources Information Center

    Lowinger, Robert Jay; Kuo, Ben C. H.; Song, Hyun-A.; Mahadevan, Lakshmi; Kim, Eunyoung; Liao, Kelly Yu-Hsin; Chang, Catherine Y.; Kwon, Kyong-Ah; Han, Suejung

    2016-01-01

    This study examined the relationships among acculturative stress, coping styles, self-efficacy, English language proficiency, and various demographic characteristics as predictors of procrastination behavior in Asian International students (N = 255) studying in the United States. Results of multiple logistic regression indicated that a collective…

  20. Predictors of Immigrant Children's School Achievement: A Comparative Study

    ERIC Educational Resources Information Center

    Moon, Sung Seek; Kang, Suk-Young; An, Soonok

    2009-01-01

    This paper examines the predictors and indicators of immigrant children's school achievement, using the two of the most predominant groups of American immigrants (103 Koreans and 100 Mexicans). Regression analyses were conducted to determine which independent variables (acculturation, parenting school involvement, parenting style, parent…

  1. Topical Knowledge and Topical Interest Predictors of Listening Comprehension.

    ERIC Educational Resources Information Center

    Hare, Victoria Chou; Devine, Denise A.

    A study was designed to determine whether scores for general knowledge, specific knowledge, and general interest on a topic could be used as predictors of children's listening comprehension. Baseball and dolls were chosen as the topics because their stereotypic nature would allow the data to be generalized across the subject population. Data were…

  2. Predictors of Depression and Anxiety among International Students

    ERIC Educational Resources Information Center

    Sumer, Seda; Poyrazli, Senel; Grahame, Kamini

    2008-01-01

    The role of gender, age, race/ethnicity, length of stay, social support, and proficiency in English in the variance in depression and anxiety among international students revealed that social support was a significant predictor of depression and anxiety among international students. Age significantly contributed to the variance in anxiety, and…

  3. Cross-Cultural Similarities in the Predictors of Reading Acquisition.

    ERIC Educational Resources Information Center

    McBride-Chang, Catherine; Kail, Robert V.

    2002-01-01

    Compared reading development among kindergartners in Hong Kong and the United States using measures of word recognition, phonological awareness, speeded naming, visual spatial skill, and processing speed. Found that models of early reading development were similar across cultures. The strongest predictor of reading was phonological awareness.…

  4. Predictors of Nonmedical ADHD Medication Use by College Students

    ERIC Educational Resources Information Center

    Rabiner, David L.; Anastopoulos, Arthur D.; Costello, E. Jane; Hoyle, Rick H.; Swartzwelder, H. Scott

    2010-01-01

    Objective: To identify the predictors of nonmedical ADHD medication use by college students. Participants: A total of 843 undergraduates attending one public or one private university in southeastern United States. Method: Students completed a Web-based survey inquiring about ADHD medication use during the first semester freshman of their year and…

  5. Predictors of Success on the Counselor Preparation Comprehensive Examination

    ERIC Educational Resources Information Center

    Schmidt, E. A.; Homeyer, Linda E.; Walker, John L.

    2009-01-01

    This study examined the relationship between 403 counseling graduate students' scores on the Counselor Preparation Comprehensive Examination (CPCE; Center for Credentialing and Education, n.d.) and 3 admissions requirements used as predictor variables: undergraduate grade point average (UGPA), Graduate Record Examinations (GRE) General Test Verbal…

  6. Empirical Investigation of Predictors of Success in an MBA Programme

    ERIC Educational Resources Information Center

    Gupta, Atul; Turek, Joseph

    2015-01-01

    Purpose: The twofold purpose of this study was to determine if selected variables were predictors of: student performance in the MBA programme; and student performance on the MBA MFT exam. Design/methodology/approach: This study focuses on MBA graduates at a US university who have successfully completed the entire programme requirements. Real…

  7. Predictor and Performance Variables in a Performance Based Education Course.

    ERIC Educational Resources Information Center

    Hughes, Thomas M.; Douzenis, Cordelia

    Students enrolled in classes which stressed learning theory and human development served as subjects in an investigation of the predictive power of observation scores compared to more traditional predictors such as grade point average and ACT scores. A stepwise discriminant analysis was employed, using the BMDP7B program on the Sperry 1100 Univac,…

  8. Predictors of Early versus Later Spelling Development in Danish

    ERIC Educational Resources Information Center

    Nielsen, Anne-Mette Veber; Juul, Holger

    2016-01-01

    The present study examined phoneme awareness, phonological short term memory, letter knowledge, rapid automatized naming (RAN), and visual-verbal paired associate learning (PAL) as longitudinal predictors of spelling skills in an early phase (Grade 2) and a later phase (Grade 5) of development in a sample of 140 children learning to spell in the…

  9. Individual, Family, and Peer predictors of Violence among Samoan Adolescents

    ERIC Educational Resources Information Center

    Stevens, Devan L.; Hardy, Sam A.

    2013-01-01

    This study explored individual, family, and peer predictors of involvement and psychological investment in fights among Samoan youth. Participants were 310 adolescents ages 13 through 19 living in Samoa. MANCOVAs compared those involved in fights with those not, and those more investing in fighting with those less invested. In terms of individual…

  10. Predictors of Early Termination in a University Counseling Training Clinic

    ERIC Educational Resources Information Center

    Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M.

    2009-01-01

    Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

  11. Predictors of Paternal Involvement Postdivorce: Mothers' and Fathers' Perceptions.

    ERIC Educational Resources Information Center

    Ahrons, Constance R.

    1983-01-01

    Examined the relationship between paternal involvement postdivorce and the divorced coparental relationship. Interviews with 54 pairs of ex-spouses showed mothers and fathers had different perceptions of the father's involvement. The coparental relationship was a significant predictor of both mothers' and fathers' perceptions of the father's…

  12. Predictors of Specialized Inpatient Admissions for Adults with Intellectual Disability

    ERIC Educational Resources Information Center

    Modi, Miti; McMorris, Carly; Palucka, Anna; Raina, Poonam; Lunsky, Yona

    2015-01-01

    Individuals with intellectual disability (ID) have complex mental health needs and may seek specialized ID psychiatric services. This study reports on predictors of specialized inpatient admissions for 234 individuals with ID who received outpatient services at a psychiatric hospital. Overall, from 2007-2012, 55 of the 234 outpatients were triaged…

  13. Predictors of Educational Attainment in the Chicago Longitudinal Study

    ERIC Educational Resources Information Center

    Ou, Suh-Ruu; Reynolds, Arthur J.

    2008-01-01

    The authors investigated a comprehensive set of predictors of high school completion and years of completed education for youth in the Chicago Longitudinal Study, an ongoing investigation of over 1500 low-income, minority children who grew up on high-poverty neighborhoods. The study sample included 1286 youth for whom educational attainment could…

  14. PREDICTORS OF INDIVIDUAL DIFFERENCES IN ACUTE RESPONSE TO OZONE EXPOSURE

    EPA Science Inventory

    The purposes of this study were to identify personal characteristics which predict individual differences in acute response to ozone exposure and to develop a predictive model for decrements in FEV1 as a function of ozone concentration and individual predictors. esponse and predi...

  15. Neurophysiological predictor of SMR-based BCI performance.

    PubMed

    Blankertz, Benjamin; Sannelli, Claudia; Halder, Sebastian; Hammer, Eva M; Kübler, Andrea; Müller, Klaus-Robert; Curio, Gabriel; Dickhaus, Thorsten

    2010-07-15

    Brain-computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After about 30years of BCI research, the success of control that is achieved by means of a BCI system still greatly varies between subjects. For about 20% of potential users the obtained accuracy does not reach the level criterion, meaning that BCI control is not accurate enough to control an application. The determination of factors that may serve to predict BCI performance, and the development of methods to quantify a predictor value from psychological and/or physiological data serve two purposes: a better understanding of the 'BCI-illiteracy phenomenon', and avoidance of a costly and eventually frustrating training procedure for participants who might not obtain BCI control. Furthermore, such predictors may lead to approaches to antagonize BCI illiteracy. Here, we propose a neurophysiological predictor of BCI performance which can be determined from a two minute recording of a 'relax with eyes open' condition using two Laplacian EEG channels. A correlation of r=0.53 between the proposed predictor and BCI feedback performance was obtained on a large data base with N=80 BCI-naive participants in their first session with the Berlin brain-computer interface (BBCI) system which operates on modulations of sensory motor rhythms (SMRs). PMID:20303409

  16. Attitudes, Values and Moral Reasoning as Predictors of Delinquency

    ERIC Educational Resources Information Center

    Tarry, Hammond; Emler, Nicholas

    2007-01-01

    Attitudes to institutional authority, strength of support for moral values and maturity of socio-moral reasoning have all been identified as potential predictors of adolescent delinquency. In a sample of 12-15-year-old boys (N = 789), after checking for effects of age, IQ, social background and ethnicity, self-reported delinquency was…

  17. Predictors of Sexual Aggression among Male Juvenile Offenders

    ERIC Educational Resources Information Center

    Yeater, Elizabeth A.; Lenberg, Kathryn L.; Bryan, Angela D.

    2012-01-01

    The purpose of this study was to conduct a longitudinal examination of predictors of sexual aggression among male juvenile offenders. Four hundred and four adolescent males between the ages of 14 and 17 years were recruited from juvenile probation offices to take part in a prospective study of substance use and sexual risk. At baseline,…

  18. Predictors of Future Performance in Architectural Design Education

    ERIC Educational Resources Information Center

    Roberts, A. S.

    2007-01-01

    The link between academic performance in secondary education and the subsequent performance of students studying architecture at university level is commonly questioned by educators and admissions tutors. This paper investigates the potential for using measures of cognitive style and spatial ability as predictors of future potential in…

  19. The Comparison of Predictors of Death Obsession within Two Cultures

    ERIC Educational Resources Information Center

    Abdel-Khalek, Ahmed M.; Maltby, John

    2008-01-01

    The objective of the study was to compare various predictors of death obsession (i.e., anxiety, optimism, pessimism), and self-ratings of religiosity, physical health, mental health, happiness, and satisfaction with life, among 2 samples of college students recruited from two different cultures: Kuwait (n = 271) and United Kingdom (n = 205). The…

  20. Predictors for the development of temporomandibular disorders in scuba divers.

    PubMed

    Lobbezoo, F; van Wijk, A J; Klingler, M C; Ruiz Vicente, E; van Dijk, C J; Eijkman, M A J

    2014-08-01

    The aim was to determine predictors for the development of complaints of temporomandibular disorders (TMD) in a large sample of Dutch scuba divers who were free of any TMD complaints before they started diving actively. Five-hundred and thirty-six scuba divers (mean ± SD age = 40.4 ± 11.9 years; 34.1% women) completed a specifically developed questionnaire, either online or on paper. Stepwise forward logistic regression analysis was performed to predict the presence of TMD pain, with several potential risk factors as predictors. Four hundred and eighty-five of the 536 respondents were free of any TMD pain before they started diving actively. In this sample, TMD pain was present in 214 persons (44.1%). Four predictors contributed significantly to the presence of TMD pain, viz., clenching (OR = 2.466), warm water (OR = 1.685), biting on the mouthpiece (OR = 1.598), and the quality rating of the mouthpiece (OR = 0.887, that is, a higher rating means a smaller odds of having TMD pain). TMD pain is a common complaint among scuba divers who were free of such complaints before they started diving actively. Clenching, biting on the mouthpiece, and a low rating of the mouthpiece are predictors for the presence of TMD pain in scuba divers, while diving in cold water serves as a protective factor for TMD pain. PMID:24766672

  1. Adolescent Gambling: A Narrative Review of Behavior and Its Predictors

    ERIC Educational Resources Information Center

    Ariyabuddhiphongs, Vanchai

    2013-01-01

    This narrative review summarizes current knowledge on adolescent gambling for the period 1990-2010, assesses adolescent gambling behavior and person and environment predictors, and suggests directions for future research. The review includes 99 studies that identified their subjects as adolescents, children, youth, and students, and discusses…

  2. Joint probabilistic-logical refinement of multiple protein feature predictors

    PubMed Central

    2014-01-01

    Background Computational methods for the prediction of protein features from sequence are a long-standing focus of bioinformatics. A key observation is that several protein features are closely inter-related, that is, they are conditioned on each other. Researchers invested a lot of effort into designing predictors that exploit this fact. Most existing methods leverage inter-feature constraints by including known (or predicted) correlated features as inputs to the predictor, thus conditioning the result. Results By including correlated features as inputs, existing methods only rely on one side of the relation: the output feature is conditioned on the known input features. Here we show how to jointly improve the outputs of multiple correlated predictors by means of a probabilistic-logical consistency layer. The logical layer enforces a set of weighted first-order rules encoding biological constraints between the features, and improves the raw predictions so that they least violate the constraints. In particular, we show how to integrate three stand-alone predictors of correlated features: subcellular localization (Loctree [J Mol Biol 348:85–100, 2005]), disulfide bonding state (Disulfind [Nucleic Acids Res 34:W177–W181, 2006]), and metal bonding state (MetalDetector [Bioinformatics 24:2094–2095, 2008]), in a way that takes into account the respective strengths and weaknesses, and does not require any change to the predictors themselves. We also compare our methodology against two alternative refinement pipelines based on state-of-the-art sequential prediction methods. Conclusions The proposed framework is able to improve the performance of the underlying predictors by removing rule violations. We show that different predictors offer complementary advantages, and our method is able to integrate them using non-trivial constraints, generating more consistent predictions. In addition, our framework is fully general, and could in principle be applied to a vast

  3. A New Perspective for the Calibration of Computational Predictor Models.

    SciTech Connect

    Crespo, Luis Guillermo

    2014-11-01

    This paper presents a framework for calibrating computational models using data from sev- eral and possibly dissimilar validation experiments. The offset between model predictions and observations, which might be caused by measurement noise, model-form uncertainty, and numerical error, drives the process by which uncertainty in the models parameters is characterized. The resulting description of uncertainty along with the computational model constitute a predictor model. Two types of predictor models are studied: Interval Predictor Models (IPMs) and Random Predictor Models (RPMs). IPMs use sets to characterize uncer- tainty, whereas RPMs use random vectors. The propagation of a set through a model makes the response an interval valued function of the state, whereas the propagation of a random vector yields a random process. Optimization-based strategies for calculating both types of predictor models are proposed. Whereas the formulations used to calculate IPMs target solutions leading to the interval value function of minimal spread containing all observations, those for RPMs seek to maximize the models' ability to reproduce the distribution of obser- vations. Regarding RPMs, we choose a structure for the random vector (i.e., the assignment of probability to points in the parameter space) solely dependent on the prediction error. As such, the probabilistic description of uncertainty is not a subjective assignment of belief, nor is it expected to asymptotically converge to a fixed value, but instead it is a description of the model's ability to reproduce the experimental data. This framework enables evaluating the spread and distribution of the predicted response of target applications depending on the same parameters beyond the validation domain (i.e., roll-up and extrapolation).

  4. Clinical predictors of functioning in persons with acquired immunodeficiency syndrome.

    PubMed

    Wilson, I B; Cleary, P D

    1996-06-01

    To help clinicians better assess and treat functional disabilities in persons with acquired immunodeficiency syndrome (AIDS), the authors estimate empirical relations among biologic and physiologic variables, symptoms, and physical functioning in persons with AIDS. The sample of 305 persons with AIDS for this cross-sectional analysis came from three sites in Boston, Massachusetts: a hospital-based group practice, a human immunodeficiency virus clinic at a city hospital, and a staff-model health maintenance organization. Physical functioning, 10 AIDS-specific symptoms, and mental health were assessed by interview. Clinical diagnoses, comorbidities, health habits such as smoking, laboratory results, and selected medication use were assessed by chart review. Significant predictors of physical functioning P < 0.01, R2 = .58) in a multivariable regression model included energy/fatigue, neurologic symptoms, fever symptoms, a lower hemoglobin level, and current non-pneumonia bacterial infection. Ninety-six percent of the explained variance in physical functioning was accounted for by three symptom complexes: energy/fatigue, neurologic symptoms, and fever symptoms. Significant predictors of energy/fatigue in multivariable models included poorer mental health, lower white blood cell count, longer time since diagnosis, and weight loss (P < 0.01, R2 =.36). Significant predictors of neurologic symptoms included poorer mental health, weight loss, and no zidovudine use (P < 0.001, R2 = .30). Predictors of fever symptoms included poorer mental health, no zidovudine use, weight loss, and history of asthma or chronic obstructive pulmonary disease (P < 0.05, R2 = .25). In conclusion, symptom reports were strong predictors of physical functioning. Poorer mental health and weight loss were correlated consistently with worse symptoms, and not using zidovudine was correlated with worse neurologic and fever symptoms. These variables, and the others the authors identified, may represent

  5. Predictors of business return in New Orleans after Hurricane Katrina.

    PubMed

    Lam, Nina S N; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

    2012-01-01

    We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster. PMID:23133530

  6. Calibration of Predictor Models Using Multiple Validation Experiments

    NASA Technical Reports Server (NTRS)

    Crespo, Luis G.; Kenny, Sean P.; Giesy, Daniel P.

    2015-01-01

    This paper presents a framework for calibrating computational models using data from several and possibly dissimilar validation experiments. The offset between model predictions and observations, which might be caused by measurement noise, model-form uncertainty, and numerical error, drives the process by which uncertainty in the models parameters is characterized. The resulting description of uncertainty along with the computational model constitute a predictor model. Two types of predictor models are studied: Interval Predictor Models (IPMs) and Random Predictor Models (RPMs). IPMs use sets to characterize uncertainty, whereas RPMs use random vectors. The propagation of a set through a model makes the response an interval valued function of the state, whereas the propagation of a random vector yields a random process. Optimization-based strategies for calculating both types of predictor models are proposed. Whereas the formulations used to calculate IPMs target solutions leading to the interval value function of minimal spread containing all observations, those for RPMs seek to maximize the models' ability to reproduce the distribution of observations. Regarding RPMs, we choose a structure for the random vector (i.e., the assignment of probability to points in the parameter space) solely dependent on the prediction error. As such, the probabilistic description of uncertainty is not a subjective assignment of belief, nor is it expected to asymptotically converge to a fixed value, but instead it casts the model's ability to reproduce the experimental data. This framework enables evaluating the spread and distribution of the predicted response of target applications depending on the same parameters beyond the validation domain.

  7. Biological predictors of cervical cancer response to radiation therapy.

    PubMed

    Klopp, Ann H; Eifel, Patricia J

    2012-04-01

    The addition of cisplatin-based chemotherapy to standard radiation therapy reduces the risk of recurrence and disease-related death rates from locally advanced cervical cancers by as much as 50%. However, the absolute gains are relatively small for patients with early tumors, many of whom would have been cured with radiation alone, and recurrence rates are still high for patients who have very large or advanced-stage tumors. As a result, there is a pressing need for more accurate predictors of radiocurability. A variety of types of biomarkers have been shown to correlate with cervical cancer response to radiation therapy. These include traditional clinical and morphologic predictors, non-molecular biomarkers, including hypoxia and fluorodeoxyglucose-positron emission tomography (FDG-PET) avidity, as well as molecular biomarkers, which include single-gene markers or array-based multigene predictors. Multi-gene predictors of response remain immature in cervical cancer, but studies thus far have paved the way for future studies to validate these findings. Methods will need to be standardized and markers will need to be validated on homogeneous patient populations and treatment approaches before they can become useful tools for clinical decision making. In addition, new biomarkers will be of major value only if they add to the predictive value of traditional clinical and morphologic predictors. Ultimately, the most useful biomarkers will identify patients who will benefit from specific molecularly targeted agents in addition to radiation therapy or perhaps identify patient who are at low risk for recurrence, for whom the dose of radiation or chemotherapy can be reduced. PMID:22385921

  8. Predictors of Business Return in New Orleans after Hurricane Katrina

    PubMed Central

    Lam, Nina S. N.; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

    2012-01-01

    We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster. PMID:23133530

  9. Community Colleges under the Microscope: An Analysis of Performance Predictors for Native and Transfer Students.

    ERIC Educational Resources Information Center

    Carlan, Philip E.; Byxbe, Ferris R.

    2000-01-01

    Reports that studies of native and transfer students at a university indicated that lower division GPA and major were significant predictors of upper division GPA for both groups, but more so for transfers than for natives. States that, although race was not a significant predictor for transfers, it was the most significant predictor for native…

  10. Situational and Intrapersonal Predictors of School and Life Satisfaction of Elementary School Students

    ERIC Educational Resources Information Center

    Drost, Amy Linden

    2012-01-01

    This study examined predictors of school and life satisfaction of fifth-grade students. Two situational predictor variables (school climate and school stress) and two intrapersonal predictor variables (locus of control and academic self-concept) were examined. It was hypothesized that positive school climate, low levels of school stress, internal…