SUBJECTIVE SOCIOECONOMIC STATUS AND HEALTH: RELATIONSHIPS RECONSIDERED

PubMed Central

Nobles, Jenna; Ritterman Weintraub, Miranda; Adler, Nancy

2013-01-01

Subjective status, an individual’s perception of her socioeconomic standing, is a robust predictor of physical health in many societies. To date, competing interpretations of this correlation remain unresolved. Using longitudinal data on 8,430 older adults from the 2000 and 2007 waves of the Indonesia Family Life Survey, we test these oft-cited links. As in other settings, perceived status is a robust predictor of self-rated health, and also of physical functioning and nurse-assessed general health. These relationships persist in the presence of controls for unobserved traits, such as difficult-to-measure aspects of family background and persistent aspects of personality. However, we find evidence that these links likely represent bi-directional effects. Declines in health that accompany aging are robust predictors of declines in perceived socioeconomic status, net of observed changes to the economic profile of respondents. The results thus underscore the social value afforded good health status. PMID:23453318

Smith predictor-based multiple periodic disturbance compensation for long dead-time processes

NASA Astrophysics Data System (ADS)

Tan, Fang; Li, Han-Xiong; Shen, Ping

2018-05-01

Many disturbance rejection methods have been proposed for processes with dead-time, while these existing methods may not work well under multiple periodic disturbances. In this paper, a multiple periodic disturbance rejection is proposed under the Smith predictor configuration for processes with long dead-time. One feedback loop is added to compensate periodic disturbance while retaining the advantage of the Smith predictor. With information of the disturbance spectrum, the added feedback loop can remove multiple periodic disturbances effectively. The robust stability can be easily maintained through the rigorous analysis. Finally, simulation examples demonstrate the effectiveness and robustness of the proposed method for processes with long dead-time.

Religion and spirituality in rehabilitation outcomes among individuals with traumatic brain injury.

PubMed

Waldron-Perrine, Brigid; Rapport, Lisa J; Hanks, Robin A; Lumley, Mark; Meachen, Sarah-Jane; Hubbarth, Paul

2011-05-01

The long-term consequences of traumatic brain injury affect millions of Americans, many of whom report using religion and spirituality to cope. Little research, however, has investigated how various elements of the religious and spiritual belief systems affect rehabilitation outcomes. The present study sought to assess the use of specifically defined elements of religion and spirituality as psychosocial resources in a sample of traumatically brain injured adults. The sample included 88 adults with brain injury from 1 to 20 years post injury and their knowledgeable significant others (SOs). The majority of the participants with brain injury were male (76%), African American (75%) and Christian (76%). Participants subjectively reported on their religious/spiritual beliefs and psychosocial resources as well as their current physical and psychological status. Significant others reported objective rehabilitation outcomes. Hierarchical multiple regression analyses were used to determine the proportion of variance in outcomes accounted for by demographic, injury related, psychosocial and religious/spiritual variables. The results indicate that religious well-being (a sense of connection to a higher power) was a unique predictor for life satisfaction, distress and functional ability whereas public religious practice and existential well-being were not. The findings of this project indicate that specific facets of religious and spiritual belief systems do play direct and unique roles in predicting rehabilitation outcomes whereas religious activity does not. Notably, a self-reported individual connection to a higher power was an extremely robust predictor of both subjective and objective outcome.

Smith predictor based-sliding mode controller for integrating processes with elevated deadtime.

PubMed

Camacho, Oscar; De la Cruz, Francisco

2004-04-01

An approach to control integrating processes with elevated deadtime using a Smith predictor sliding mode controller is presented. A PID sliding surface and an integrating first-order plus deadtime model have been used to synthesize the controller. Since the performance of existing controllers with a Smith predictor decrease in the presence of modeling errors, this paper presents a simple approach to combining the Smith predictor with the sliding mode concept, which is a proven, simple, and robust procedure. The proposed scheme has a set of tuning equations as a function of the characteristic parameters of the model. For implementation of our proposed approach, computer based industrial controllers that execute PID algorithms can be used. The performance and robustness of the proposed controller are compared with the Matausek-Micić scheme for linear systems using simulations.

Unique and related predictors of major depressive disorder, posttraumatic stress disorder, and their comorbidity after Hurricane Katrina.

PubMed

Nillni, Yael I; Nosen, Elizabeth; Williams, Patrick A; Tracy, Melissa; Coffey, Scott F; Galea, Sandro

2013-10-01

The current study examined demographic and psychosocial factors that predict major depressive disorder (MDD) and comorbid MDD/posttraumatic stress disorder (MDD/PTSD) diagnostic status after Hurricane Katrina, one of the deadliest and costliest hurricanes in the history of the United States. This study expanded on the findings published in the article by Galea, Tracy, Norris, and Coffey (J Trauma Stress 21:357-368, 2008), which examined the same predictors for PTSD, to better understand related and unique predictors of MDD, PTSD, and MDD/PTSD comorbidity. A total of 810 individuals representative of adult residents living in the 23 southernmost counties of Mississippi before Hurricane Katrina were interviewed. Ongoing hurricane-related stressors, low social support, and hurricane-related financial loss were common predictors of MDD, PTSD, and MDD/PTSD, whereas educational and marital status emerged as unique predictors of MDD. Implications for postdisaster relief efforts that address the risk for both MDD and PTSD are discussed.

Perceived Parenting Styles Fail to Mediate Between Anxiety and Attachment Styles in Adult Siblings of Individuals with Developmental Disabilities.

PubMed

O'Neill, Linda P; Murray, Lindsay E

2016-09-01

Adult siblings of individuals with developmental disabilities often experience higher levels of anxiety than individuals in the general population. The present study tested whether perceived parenting could mediate the relationship between attachment styles and anxiety in the sibling group compared to a control group. Little association was found between perceived parenting and attachment styles or anxiety for the siblings but there were robust and expected findings for the control. Adult attachment-related-anxiety was a significant unique predictor of anxiety in the sibling group but there was no mediational role for perceived parenting. Conversely, the majority of parenting styles significantly mediated the relationship between attachment and anxiety in the control. Implications for the atypical findings in the sibling group are discussed.

Isolating the Role of Psychological Dysfunction in Smoking Cessation Failure: Relations of Personality and Psychopathology to Attaining Smoking Cessation Milestones

PubMed Central

Leventhal, Adam M.; Japuntich, Sandra J.; Piper, Megan E.; Jorenby, Douglas E.; Schlam, Tanya R.; Baker, Timothy B.

2012-01-01

Research exploring psychological dysfunction as a predictor of smoking cessation success may be limited by nonoptimal predictor variables (i.e., categorical psychodiagnostic measures vs. continuous personality-based manifestations of dysfunction) and imprecise outcomes (i.e., summative point prevalence abstinence vs. constituent cessation milestone measures). Accordingly, this study evaluated the unique and overlapping relations of broad-spectrum personality traits (positive emotionality, negative emotionality, and constraint) and past-year psychopathology (anxiety, mood, and substance use disorder) to point prevalence abstinence and three smoking cessation milestones: (1) initiating abstinence; (2) first lapse; and (3) transition from lapse to relapse. Participants were daily smokers (N=1365) enrolled in a smoking cessation treatment study. In single predictor regression models, each manifestation of internalizing dysfunction (lower positive emotionality, higher negative emotionality, and anxiety and mood disorder) predicted failure at one or more cessation milestone. In simultaneous predictor models, lower positive and higher negative emotionality significantly predicted failure to achieve milestones after controlling for psychopathology. Psychopathology did not predict any outcome when controlling for personality. Negative emotionality showed the most robust and consistent effects, significantly predicting failure to initiate abstinence, earlier lapse, and lower point prevalence abstinence rates. Substance use disorder and constraint did not predict cessation outcomes, and no single variable predicted lapse-to-relapse transition. These findings suggest that personality-related manifestations of internalizing dysfunction are more accurate markers of affective sources of relapse risk than mood and anxiety disorders. Further, individuals with high trait negative emotionality may require intensive intervention to promote the initiation and early maintenance of abstinence. PMID:22642858

Predictors of remission from generalized anxiety disorder and major depressive disorder.

PubMed

Kelly, Kristen M; Mezuk, Briana

2017-01-15

The predictors of onset of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well-characterized. However the factors that predict remission from these conditions are less clear, and the study of this area is further complicated by differing definitions of remission. Data come from the National Comorbidity Survey - Replication, and analysis was limited to respondents with a lifetime history of GAD (n=621) or MDD (n=1299) assessed by the Composite International Diagnostic Interview. Predictors of remission included demographic factors, adverse childhood events, family history, and clinical characteristics. Multiple definitions of remission were explored to account for residual symptoms. Half (54.4%) of respondents with MDD and 41.1% of respondents with GAD experienced full remission. Older age and higher socioeconomic status were positively related to remission in a dose-response manner for both disorders. Adverse childhood experiences and family history of anxious/depressive symptoms were negatively associated with remission from MDD. Comorbid GAD was inversely associated with remission from MDD (Odds ratio (OR): 0.62, 95% Confidence interval (CI): 0.44-0.88), but comorbid MDD did not impact remission from GAD (OR: 0.93, 95% CI: 0.64-1.35). With the exception of the influence of comorbidity, these associations were robust across definitions of remission. Cross-sectional analysis and retrospective recall of onset of MDD/GAD. Many individuals with MDD or GAD will experience full remission. Some predictors appear to have a general association with remission from both disorders, while others are uniquely associated with remission from MDD. Copyright © 2016 Elsevier B.V. All rights reserved.

Family and Teacher Characteristics as Predictors of Parent Involvement in Education during Early Childhood among Afro-Caribbean and Latino Immigrant Families

ERIC Educational Resources Information Center

Calzada, Esther J.; Huang, Keng-Yen; Hernandez, Miguel; Soriano, Erika; Acra, C. Francoise; Dawson-McClure, Spring; Kamboukos, Dimitra; Brotman, Laurie

2015-01-01

Parent involvement is a robust predictor of academic achievement, but little is known about school- and home-based involvement in immigrant families. Drawing on ecological theories, the present study examined contextual characteristics as predictors of parent involvement among Afro-Caribbean and Latino parents of young students in urban public…

Growth Mixture Modeling of Academic Achievement in Children of Varying Birth Weight Risk

PubMed Central

Espy, Kimberly Andrews; Fang, Hua; Charak, David; Minich, Nori; Taylor, H. Gerry

2009-01-01

The extremes of birth weight and preterm birth are known to result in a host of adverse outcomes, yet studies to date largely have used cross-sectional designs and variable-centered methods to understand long-term sequelae. Growth mixture modeling (GMM) that utilizes an integrated person- and variable-centered approach was applied to identify latent classes of achievement from a cohort of school-age children born at varying birth weights. GMM analyses revealed two latent achievement classes for calculation, problem-solving, and decoding abilities. The classes differed substantively and persistently in proficiency and in growth trajectories. Birth weight was a robust predictor of class membership for the two mathematics achievement outcomes and a marginal predictor of class membership for decoding. Neither visuospatial-motor skills nor environmental risk at study entry added to class prediction for any of the achievement skills. Among children born preterm, neonatal medical variables predicted class membership uniquely beyond birth weight. More generally, GMM is useful in revealing coherence in the developmental patterns of academic achievement in children of varying weight at birth, and is well suited to investigations of sources of heterogeneity. PMID:19586210

Control algorithms for aerobraking in the Martian atmosphere

NASA Technical Reports Server (NTRS)

Ward, Donald T.; Shipley, Buford W., Jr.

1991-01-01

The Analytic Predictor Corrector (APC) and Energy Controller (EC) atmospheric guidance concepts were adapted to control an interplanetary vehicle aerobraking in the Martian atmosphere. Changes are made to the APC to improve its robustness to density variations. These changes include adaptation of a new exit phase algorithm, an adaptive transition velocity to initiate the exit phase, refinement of the reference dynamic pressure calculation and two improved density estimation techniques. The modified controller with the hybrid density estimation technique is called the Mars Hybrid Predictor Corrector (MHPC), while the modified controller with a polynomial density estimator is called the Mars Predictor Corrector (MPC). A Lyapunov Steepest Descent Controller (LSDC) is adapted to control the vehicle. The LSDC lacked robustness, so a Lyapunov tracking exit phase algorithm is developed to guide the vehicle along a reference trajectory. This algorithm, when using the hybrid density estimation technique to define the reference path, is called the Lyapunov Hybrid Tracking Controller (LHTC). With the polynomial density estimator used to define the reference trajectory, the algorithm is called the Lyapunov Tracking Controller (LTC). These four new controllers are tested using a six degree of freedom computer simulation to evaluate their robustness. The MHPC, MPC, LHTC, and LTC show dramatic improvements in robustness over the APC and EC.

Using the Theory of Planned Behavior to Identify Predictors of Oral Hygiene: A Collection of Unique Behaviors.

PubMed

Brein, Daniel J; Fleenor, Thomas J; Kim, Soo-Woo; Krupat, Edward

2016-03-01

This study aims to identify predictors of performed oral hygiene behaviors (OHBs) based on the Theory of Planned Behavior (TPB), oral health knowledge, and demographic factors. Using a questionnaire, 381 participants in three general dental offices and one hospital dental department in York, Pennsylvania, were surveyed regarding performed OHB, attitudes, subjective norms, perceived behavioral control, oral health knowledge, income, age, and sex. Three unique elements of OHB were identified for analysis: brushing, interdental cleaning, and tongue cleaning. Regression analysis revealed that attitude was the strongest predictor of brushing behavior, followed by oral health knowledge, perceived behavior control, subjective norms, and income. Perceived behavior control was the strongest predictor of interdental cleaning, followed by increased age and attitude. Female sex was the strongest predictor of tongue cleaning, followed by subjective norms, decreased age, and perceived behavior control. Respectively, these three groups of predictive variables explained 22.5% of brushing behavior, 22.7% of interdental cleaning behavior, and 9.5% of tongue cleaning behavior. The present findings highlight the utility of viewing OHB as a set of unique behaviors with unique predictive variables and provide additional support for use of TPB in predicting OHB. Periodontal practitioners should consider the strong associations of attitude and perceived behavioral control with brushing and interdental cleaning behaviors when designing interventional efforts to improve patient home care.

The Cognitive Predictors of Computational Skill with Whole versus Rational Numbers: An Exploratory Study.

PubMed

Seethaler, Pamela M; Fuchs, Lynn S; Star, Jon R; Bryant, Joan

2011-10-01

The purpose of the present study was to explore the 3(rd)-grade cognitive predictors of 5th-grade computational skill with rational numbers and how those are similar to and different from the cognitive predictors of whole-number computational skill. Students (n = 688) were assessed on incoming whole-number calculation skill, language, nonverbal reasoning, concept formation, processing speed, and working memory in the fall of 3(rd) grade. Students were followed longitudinally and assessed on calculation skill with whole numbers and with rational numbers in the spring of 5(th) grade. The unique predictors of skill with whole-number computation were incoming whole-number calculation skill, nonverbal reasoning, concept formation, and working memory (numerical executive control). In addition to these cognitive abilities, language emerged as a unique predictor of rational-number computational skill.

The Cognitive Predictors of Computational Skill with Whole versus Rational Numbers: An Exploratory Study

PubMed Central

Seethaler, Pamela M.; Fuchs, Lynn S.; Star, Jon R.; Bryant, Joan

2011-01-01

The purpose of the present study was to explore the 3rd-grade cognitive predictors of 5th-grade computational skill with rational numbers and how those are similar to and different from the cognitive predictors of whole-number computational skill. Students (n = 688) were assessed on incoming whole-number calculation skill, language, nonverbal reasoning, concept formation, processing speed, and working memory in the fall of 3rd grade. Students were followed longitudinally and assessed on calculation skill with whole numbers and with rational numbers in the spring of 5th grade. The unique predictors of skill with whole-number computation were incoming whole-number calculation skill, nonverbal reasoning, concept formation, and working memory (numerical executive control). In addition to these cognitive abilities, language emerged as a unique predictor of rational-number computational skill. PMID:21966180

Language, literacy, attentional behaviors, and instructional quality predictors of written composition for first graders

PubMed Central

Kim, Young-Suk; Otaiba, Stephanie Al; Sidler, Jessica Folsom; Gruelich, Luana

2013-01-01

We had two primary purposes in the present study: (1) to examine unique child-level predictors of written composition which included language skills, literacy skills (e.g., reading and spelling), and attentiveness and (2) to examine whether instructional quality (quality in responsiveness and individualization, and quality in spelling and writing instruction) is uniquely related to written composition for first-grade children (N = 527). Children’s written composition was evaluated on substantive quality (ideas, organization, word choice, and sentence flow) and writing conventions (spelling, mechanics, and handwriting). Results revealed that for the substantive quality of writing, children’s grammatical knowledge, reading comprehension, letter writing automaticity, and attentiveness were uniquely related. Teachers’ responsiveness was also uniquely related to the substantive quality of written composition after accounting for child predictors and other instructional quality variables. For the writing conventions outcome, children’s spelling and attentiveness were uniquely related, but instructional quality was not. These results suggest the importance of paying attention to multiple component skills such as language, literacy, and behavioral factors as well as teachers’ responsiveness for writing development. PMID:24062600

Predictors of Premenstrual Impairment Among Women Undergoing Prospective Assessment for Premenstrual Dysphoric Disorder: A Cycle-Level Analysis

PubMed Central

Schmalenberger, Katja M.; Eisenlohr-Moul, Tory A.; Surana, Pallavi; Rubinow, David R.; Girdler, Susan S.

2017-01-01

Background Women who experience significant premenstrual symptoms differ in the extent to which these symptoms cause cyclical impairment. This study clarifies the type and number of symptoms that best predict premenstrual impairment in a sample of women undergoing prospective assessment for premenstrual dysphoric disorder (PMDD) in a research setting. Central research goals were to determine (1) which emotional, psychological, and physical symptoms of PMDD are uniquely associated with premenstrual impairment, and (2) how many cyclical symptoms optimally predict the presence of a clinically significant premenstrual elevations of impairment. Methods 267 naturally cycling women recruited for retrospective report of premenstrual emotional symptoms completed daily symptom reports using the Daily Record of Severity of Problems (DRSP) and occupational, recreational, and relational impairment for 1–4 menstrual cycles (N = 563 cycles). Results Multilevel regression revealed that emotional, psychological, and physical symptoms differ in their associations with impairment. The core emotional symptoms of PMDD were predictors of impairment, but not after accounting for psychological symptoms, which were the most robust predictors. The optimal number of premenstrual symptoms for predicting clinically significant premenstrual impairment was four. Conclusion Results enhance our understanding of the type and number of premenstrual symptoms associated with premenstrual impairment among women being evaluated for PMDD in research contexts. Additional work is needed to determine whether cognitive symptoms should receive greater attention in the study of PMDD, and to revisit the usefulness of the five-symptom diagnostic threshold. PMID:28193300

Predictors of premenstrual impairment among women undergoing prospective assessment for premenstrual dysphoric disorder: a cycle-level analysis.

PubMed

Schmalenberger, K M; Eisenlohr-Moul, T A; Surana, P; Rubinow, D R; Girdler, S S

2017-07-01

Women who experience significant premenstrual symptoms differ in the extent to which these symptoms cause cyclical impairment. This study clarifies the type and number of symptoms that best predict premenstrual impairment in a sample of women undergoing prospective assessment for premenstrual dysphoric disorder (PMDD) in a research setting. Central research goals were to determine (1) which emotional, psychological, and physical symptoms of PMDD are uniquely associated with premenstrual impairment, and (2) how many cyclical symptoms optimally predict the presence of a clinically significant premenstrual elevation of impairment. A total of 267 naturally cycling women recruited for retrospective report of premenstrual emotional symptoms completed daily symptom reports using the Daily Record of Severity of Problems (DRSP) and occupational, recreational, and relational impairment for 1-4 menstrual cycles (N = 563 cycles). Multilevel regression revealed that emotional, psychological, and physical symptoms differ in their associations with impairment. The core emotional symptoms of PMDD were predictors of impairment, but not after accounting for secondary psychological symptoms, which were the most robust predictors. The optimal number of premenstrual symptoms for predicting clinically significant premenstrual impairment was four. Results enhance our understanding of the type and number of premenstrual symptoms associated with premenstrual impairment among women being evaluated for PMDD in research contexts. Additional work is needed to determine whether cognitive symptoms should receive greater attention in the study of PMDD, and to revisit the usefulness of the five-symptom diagnostic threshold.

Prevalence and predictors of Axis I disorders in a large sample of treatment-seeking victims of sexual abuse and incest

PubMed Central

McElroy, Eoin; Shevlin, Mark; Elklit, Ask; Hyland, Philip; Murphy, Siobhan; Murphy, Jamie

2016-01-01

Background Childhood sexual abuse (CSA) is a common occurrence and a robust, yet non-specific, predictor of adult psychopathology. While many demographic and abuse factors have been shown to impact this relationship, their common and specific effects remain poorly understood. Objective This study sought to assess the prevalence of Axis I disorders in a large sample of help-seeking victims of sexual trauma, and to examine the common and specific effects of demographic and abuse characteristics across these different diagnoses. Method The participants were attendees at four treatment centres in Denmark that provide psychological therapy for victims of CSA (N=434). Axis I disorders were assessed using the Millon Clinical Multiaxial Inventory-III (MCMI-III). Multivariate logistic regression analysis was used to examine the associations between CSA characteristics (age of onset, duration, number of abusers, number of abusive acts) and 10 adult clinical syndromes. Results There was significant variation in the prevalence of disorders and the abuse characteristics were differentially associated with the outcome variables. Having experienced sexual abuse from more than one perpetrator was the strongest predictor of psychopathology. Conclusions The relationship between CSA and adult psychopathology is complex. Abuse characteristics have both unique and shared effects across different diagnoses. Highlights of the article The prevalence of Axis I disorders were assessed in a large sample of sexual abuse and incest survivors. The impact of demographic and abuse characteristics were also examined. There was significant variation in the prevalence of disorders. Abuse characteristics were differentially associated with the disorders. Abuse from multiple perpetrators was the strongest overall predictor of psychopathology. PMID:27064976

Group Treatment of Depression: Individual Predictors of Outcome.

ERIC Educational Resources Information Center

Hoberman, Harry M.; And Others

1988-01-01

Identified patient characteristics predictive of individual outcome in psychoeducational group treatment for unipolar depression, a coping with depression course. After treatment, 85 percent of the subjects no longer met diagnostic criteria for depressive disorders. Found the most robust predictors of outcome to be pretreatment depression level,…

Prior Interpersonal Violence Exposure and Experiences During and After a Disaster as Predictors of Posttraumatic Stress Disorder and Depression Among Adolescent Victims of the Spring 2011 Tornadoes.

PubMed

Resnick, Heidi; Zuromski, Kelly L; Galea, Sandro; Price, Matthew; Gilmore, Amanda K; Kilpatrick, Dean G; Ruggiero, Kenneth

2017-07-01

The purpose of the current report was to examine prior history of exposure to interpersonal violence (IPV), as compared with prior accident or prior disaster exposure, experiences during and after a disaster, and demographic variables as predictors of past month posttraumatic stress disorder (PTSD) and depression severity among adolescents exposed to the tornadoes in Alabama and Missouri. IPV exposure has been consistently identified as a unique category of potentially traumatic events (PTE) that significantly increases risk for development of PTSD and other difficulties relative to other event types among adolescents. A population-based sample of adolescents and caregivers ( N = 2,000) were recruited randomly from tornado-affected communities in Alabama and Joplin, Missouri. Participants completed structured telephone interviews on an average of 8.8 months posttornado. Prior history of IPV was prevalent (36.5%), as was reported history of accidents (25.9%) and prior disaster exposure (26.9%). Negative binomial regression analyses with PTSD and depression symptom counts for past month as outcome variables indicated that history of predisaster IPV was most robustly related to PTSD and depression symptoms, such that those with a history of IPV endorsed over 3 times the number of symptoms than those without IPV history. Final model statistics indicated that female gender, physical injury to caregiver, concern about others' safety, prior disaster, prior accident, and prior IPV exposure were also related to PTSD. Predictors of depression symptoms were similar with the exception that concern about others' safety was not a predictor and age was a predictor in the final model. It is important to evaluate potential additive effects of IPV history in addition to recent disaster exposure variables and to consider such history when developing interventions aimed to reduce or prevent symptoms of PTSD and depression among adolescents recently exposed to disaster.

Demographic predictors of false negative self-reported tobacco use status in an insurance applicant population.

PubMed

Palmier, James; Lanzrath, Brian; Dixon, Ammon; Idowu, Oluseun

2014-01-01

To identify and quantify demographic correlates of false-negative self-reporting of tobacco use in life insurance applicants. Several studies have assessed the sensitivity of self-reporting for tobacco use in various populations, but statistical examination of the causes of misreporting has been rarer. The very large (488,000 confirmed tobacco users) sample size, US-wide geographic scope, and unique incentive structure of the life insurance application process permit more robust and insurance industry-specific results in this study. Approximately 6.2 million life insurance applicants for whom both tobacco-use interview questions and a confirmatory urine cotinine test were completed between 1999 and 2012 were evaluated for consistency between self-reported and laboratory-confirmed tobacco-use status. The data set was subjected to logistic regression to identify predictors of false negative self-reports (FNSR). False-negative self-reporting was found to be strongly associated with male gender, applicant ages of less than 30 or greater than 60, and low cotinine positivity rates in the applicant's state of residence. Policy face value was also moderately predictive, values above $500,000 associated with moderately higher FNSR. The findings imply that FNSR in life insurance applicants may be the result of complex interactions among financial incentives, geography and presumptive peer groups, and gender.

Salient Predictors of School Dropout among Secondary Students with Learning Disabilities

ERIC Educational Resources Information Center

Doren, Bonnie; Murray, Christopher; Gau, Jeff M.

2014-01-01

The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…

Predictors of treatment efficacy in a clinical trial of three psychosocial treatments for adolescent depression.

PubMed

Brent, D A; Kolko, D J; Birmaher, B; Baugher, M; Bridge, J; Roth, C; Holder, D

1998-09-01

To assess the predictors of treatment outcome across treatments, as well as those associated with differential treatment response. One hundred seven adolescent outpatients, aged 13 to 18 years, with DSM-III-R major depression were randomly assigned to one of three manual-based, brief (12 to 16 sessions) psychosocial treatments: cognitive-behavioral therapy (CBT), systemic-behavioral family therapy, or nondirective supportive therapy. Those with good and poor outcomes were compared. Continued depression was predicted by clinical referral (versus via advertisement) and was in part mediated by hopelessness. Other predictors of depression were comorbid anxiety disorder and higher levels of cognitive distortion and hopelessness at intake. Achievement of clinical remission was predicted by a higher level of self-reported depression. Poorer functional status was predicted by a higher level of initial interviewer-rated depression. Comorbid anxiety and maternal depressive symptoms predicted differential treatment efficacy. CBT's performance continued to be robust with respect to nondirective supportive therapy, even in the presence of the above-noted adverse predictors. Predictors of poor outcome may give clues as to how to boost treatment response. Subjects who come to treatment for clinical trials via advertisement (versus clinical referral) may show more favorable treatment responses. CBT is likely to be a robust intervention even in more complex and difficult-to-treat patients.

Parent Beliefs and Student Absences: Large Absence-Reduction Field Experiment

ERIC Educational Resources Information Center

Rogers, Todd; Feller, Avi

2016-01-01

School attendance is a robust predictor of course performance, and it is consistently the strongest predictor of high school dropout, even more so than suspensions and test scores. Focusing on getting students to school is an essential part of decreasing high school dropout rates. What is concerning is that up to 20% of students miss essentially a…

Robust learning for optimal treatment decision with NP-dimensionality

PubMed Central

Shi, Chengchun; Song, Rui; Lu, Wenbin

2016-01-01

In order to identify important variables that are involved in making optimal treatment decision, Lu, Zhang and Zeng (2013) proposed a penalized least squared regression framework for a fixed number of predictors, which is robust against the misspecification of the conditional mean model. Two problems arise: (i) in a world of explosively big data, effective methods are needed to handle ultra-high dimensional data set, for example, with the dimension of predictors is of the non-polynomial (NP) order of the sample size; (ii) both the propensity score and conditional mean models need to be estimated from data under NP dimensionality. In this paper, we propose a robust procedure for estimating the optimal treatment regime under NP dimensionality. In both steps, penalized regressions are employed with the non-concave penalty function, where the conditional mean model of the response given predictors may be misspecified. The asymptotic properties, such as weak oracle properties, selection consistency and oracle distributions, of the proposed estimators are investigated. In addition, we study the limiting distribution of the estimated value function for the obtained optimal treatment regime. The empirical performance of the proposed estimation method is evaluated by simulations and an application to a depression dataset from the STAR*D study. PMID:28781717

The cognitive foundations of reading and arithmetic skills in 7- to 10-year-olds.

PubMed

Durand, Marianne; Hulme, Charles; Larkin, Rebecca; Snowling, Margaret

2005-06-01

A range of possible predictors of arithmetic and reading were assessed in a large sample (N=162) of children between ages 7 years 5 months and 10 years 4 months. A confirmatory factor analysis of the predictors revealed a good fit to a model consisting of four latent variables (verbal ability, nonverbal ability, search speed, and phonological memory) and two manifest variables (digit comparison and phoneme deletion). A path analysis showed that digit comparison and verbal ability were unique predictors of variations in arithmetic skills, whereas phoneme deletion and verbal ability were unique predictors of variations in reading skills. These results confirm earlier findings that phoneme deletion ability appears to be a critical foundation for learning to read (decode). In addition, variations in the speed of accessing numerical quantity information appear to be a critical foundation for the development of arithmetic skills.

Predictive and Neural Predictive Control of Uncertain Systems

NASA Technical Reports Server (NTRS)

Kelkar, Atul G.

2000-01-01

Accomplishments and future work are:(1) Stability analysis: the work completed includes characterization of stability of receding horizon-based MPC in the setting of LQ paradigm. The current work-in-progress includes analyzing local as well as global stability of the closed-loop system under various nonlinearities; for example, actuator nonlinearities; sensor nonlinearities, and other plant nonlinearities. Actuator nonlinearities include three major types of nonlineaxities: saturation, dead-zone, and (0, 00) sector. (2) Robustness analysis: It is shown that receding horizon parameters such as input and output horizon lengths have direct effect on the robustness of the system. (3) Code development: A matlab code has been developed which can simulate various MPC formulations. The current effort is to generalize the code to include ability to handle all plant types and all MPC types. (4) Improved predictor: It is shown that MPC design using better predictors that can minimize prediction errors. It is shown analytically and numerically that Smith predictor can provide closed-loop stability under GPC operation for plants with dead times where standard optimal predictor fails. (5) Neural network predictors: When neural network is used as predictor it can be shown that neural network predicts the plant output within some finite error bound under certain conditions. Our preliminary study shows that with proper choice of update laws and network architectures such bound can be obtained. However, much work needs to be done to obtain a similar result in general case.

Tuning algorithms for fractional order internal model controllers for time delay processes

NASA Astrophysics Data System (ADS)

Muresan, Cristina I.; Dutta, Abhishek; Dulf, Eva H.; Pinar, Zehra; Maxim, Anca; Ionescu, Clara M.

2016-03-01

This paper presents two tuning algorithms for fractional-order internal model control (IMC) controllers for time delay processes. The two tuning algorithms are based on two specific closed-loop control configurations: the IMC control structure and the Smith predictor structure. In the latter, the equivalency between IMC and Smith predictor control structures is used to tune a fractional-order IMC controller as the primary controller of the Smith predictor structure. Fractional-order IMC controllers are designed in both cases in order to enhance the closed-loop performance and robustness of classical integer order IMC controllers. The tuning procedures are exemplified for both single-input-single-output as well as multivariable processes, described by first-order and second-order transfer functions with time delays. Different numerical examples are provided, including a general multivariable time delay process. Integer order IMC controllers are designed in each case, as well as fractional-order IMC controllers. The simulation results show that the proposed fractional-order IMC controller ensures an increased robustness to modelling uncertainties. Experimental results are also provided, for the design of a multivariable fractional-order IMC controller in a Smith predictor structure for a quadruple-tank system.

The Contributions of Phonological and Morphological Awareness to Literacy Skills In the Adult Basic Education Population

PubMed Central

Fracasso, Lucille E.; Bangs, Kathryn; Binder, Katherine S.

2014-01-01

The Adult Basic Education (ABE) population consists of a wide range of abilities with needs that may be unique to this set of learners. The purpose of this study was to better understand the relative contributions of phonological decoding and morphological awareness to spelling, vocabulary, and comprehension across a sample of ABE students. In this study, phonological decoding was a unique predictor of spelling ability, listening comprehension and reading comprehension. We also found that morphological awareness was a unique predictor of spelling ability, vocabulary, and listening comprehension. Morphological awareness indirectly contributed to reading comprehension through vocabulary. These findings suggest the need for morphological interventions for this group of learners. PMID:24935886

Can community consciousness be a bad thing? A moderated mediation analysis of heterosexism, mental health, and body appreciation in sexual minority men

PubMed Central

Simpson, Courtney C.; Sutter, Megan; Perrin, Paul B.

2016-01-01

This study examined the connections among heterosexism, mental health, body appreciation, and community consciousness in sexual minority men. Participants (N = 89) completed a national online survey. Simultaneous multiple regression found that heterosexism explained 9.4% of the variance in body appreciation and 25.8% of the variance in mental health; mental health accounted for 28.0% of the variance in body appreciation. Within these models, harassment/rejection heterosexism was a unique positive predictor of mental health and a unique negative predictor of body appreciation; depression was a unique negative predictor of body appreciation. A moderated mediational model found that depression mediated the relationship between harassment/rejection heterosexism and body appreciation, but only in men who endorsed high community consciousness. Intervention research might benefit from helping sexual minority men explore the ways in which body image is affected by heterosexism and mental health, as well as the ways that contemporary Western gay communities might contribute to these connections. PMID:27210047

Predicting College Success: The Relative Contributions of Five Social/Personality Factors, Five Cognitive/Learning Factors, and SAT Scores

PubMed Central

Hannon, Brenda

2014-01-01

To-date, studies have examined simultaneously the relative predictive powers of two or three factors on GPA. The present study examines the relative powers of five social/personality factors, five cognitive/learning factors, and SAT scores to predict freshmen and non-freshmen (sophomores, juniors, seniors) academic success (i.e., GPA). The results revealed many significant predictors of GPA for both freshmen and non-freshmen. However, subsequent regressions showed that only academic self-efficacy, epistemic belief of learning, and high-knowledge integration explained unique variance in GPA (19%-freshmen, 23.2%-non-freshmen). Further for freshmen, SAT scores explained an additional unique 10.6% variance after the influences attributed to these three predictors was removed whereas for non-freshmen, SAT scores failed to explain any additional variance. These results highlight the unique and important contributions of academic self-efficacy, epistemic belief of learning and high-knowledge integration to GPA beyond other previously-identified predictors. PMID:25568884

Can community consciousness be a bad thing? A moderated mediation analysis of heterosexism, mental health and body appreciation in sexual minority men.

PubMed

Simpson, Courtney C; Sutter, Megan; Perrin, Paul B

2016-11-01

This study examined the connections between heterosexism, mental health, body appreciation and community consciousness in sexual minority men (SMM). Participants (n = 89) completed a national online survey. Simultaneous multiple regressions found that heterosexism explained 9.4% of the variance in body appreciation and 25.8% of the variance in mental health; mental health accounted for 28.0% of the variance in body appreciation. Within these models, harassment/rejection heterosexism was a unique positive predictor of mental health problems and a unique negative predictor of body appreciation; depression was a unique negative predictor of body appreciation. A moderated mediational model found that depression mediated the relationship between harassment/rejection heterosexism and body appreciation, but only in men who endorsed high community consciousness. Intervention research might benefit from helping SMM explore the ways in which body image is affected by heterosexism and mental health, as well as the ways that contemporary Western gay communities might contribute to these connections.

Analytical design of modified Smith predictor for unstable second-order processes with time delay

NASA Astrophysics Data System (ADS)

Ajmeri, Moina; Ali, Ahmad

2017-06-01

In this paper, a modified Smith predictor using three controllers, namely, stabilising (Gc), set-point tracking (Gc1), and load disturbance rejection (Gc2) controllers is proposed for second-order unstable processes with time delay. Controllers of the proposed structure are tuned using direct synthesis approach as this method enables the user to achieve a trade-off between the performance and robustness by adjusting a single design parameter. Furthermore, suitable values of the tuning parameters are recommended after studying their effect on the closed-loop performance and robustness. This is the main advantage of the proposed work over other recently published manuscripts, where authors provide only suitable ranges for the tuning parameters in spite of giving their suitable values. Simulation studies show that the proposed method results in satisfactory performance and improved robustness as compared to the recently reported control schemes. It is observed that the proposed scheme is able to work in the noisy environment also.

Robust and Specific Personality Traits as Predictors of Adolescents' Final Grades and GPA at the End of Compulsory Schooling

ERIC Educational Resources Information Center

Smrtnik Vitulic, Helena; Zupancic, Maja

2013-01-01

The study investigated the predictive value of robust and specific personality traits in adolescents (M[subscript age]?=?14.7 years), in explaining their academic achievement at the end of basic compulsory schooling. Personality data were obtained through self, maternal, and peer reports using the Inventory of Child/Adolescent Individual…

Predictor variable resolution governs modeled soil types

USDA-ARS?s Scientific Manuscript database

Soil mapping identifies different soil types by compressing a unique suite of spatial patterns and processes across multiple spatial scales. It can be quite difficult to quantify spatial patterns of soil properties with remotely sensed predictor variables. More specifically, matching the right scale...

The Child and Adolescent Services Assessment: Interrater Reliability and Predictors of Rater Disagreement.

PubMed

Schwartz, Karen T G; Bowling, Amanda A; Dickerson, John F; Lynch, Frances L; Brent, David A; Porta, Giovanna; Iyengar, Satish; Weersing, V Robin

2018-05-24

The current study evaluated the interrater reliability of the Child and Adolescent Services Assessment (CASA), a widely used structured interview measuring pediatric mental health service use. Interviews (N = 72) were randomly selected from a pediatric effectiveness trial, and audio was coded by an independent rater. Regressions were employed to identify predictors of rater disagreement. Interrater reliability was high for items (> 94%) and summary metrics (ICC > .79) across service sectors. Predictors of disagreement varied by domain; significant predictors indexed higher clinical severity or social disadvantage. Results support the CASA as a reliable and robust assessment of pediatric service use, but administrators should be alert when assessing vulnerable populations.

The Contributions of Phonological and Morphological Awareness to Literacy Skills in the Adult Basic Education Population.

PubMed

Fracasso, Lucille E; Bangs, Kathryn; Binder, Katherine S

2016-01-01

The Adult Basic Education (ABE) population consists of a wide range of abilities with needs that may be unique to this set of learners. The purpose of this study was to better understand the relative contributions of phonological decoding and morphological awareness to spelling, vocabulary, and comprehension across a sample of ABE students. In this study, phonological decoding was a unique predictor of spelling ability, listening comprehension, and reading comprehension. We also found that morphological awareness was a unique predictor of spelling ability, vocabulary, and listening comprehension. Morphological awareness indirectly contributed to reading comprehension through vocabulary. These findings suggest the need for morphological interventions for this group of learners. © Hammill Institute on Disabilities 2014.

Diffusion of Lexical Change in Social Media

PubMed Central

Eisenstein, Jacob; O'Connor, Brendan; Smith, Noah A.; Xing, Eric P.

2014-01-01

Computer-mediated communication is driving fundamental changes in the nature of written language. We investigate these changes by statistical analysis of a dataset comprising 107 million Twitter messages (authored by 2.7 million unique user accounts). Using a latent vector autoregressive model to aggregate across thousands of words, we identify high-level patterns in diffusion of linguistic change over the United States. Our model is robust to unpredictable changes in Twitter's sampling rate, and provides a probabilistic characterization of the relationship of macro-scale linguistic influence to a set of demographic and geographic predictors. The results of this analysis offer support for prior arguments that focus on geographical proximity and population size. However, demographic similarity – especially with regard to race – plays an even more central role, as cities with similar racial demographics are far more likely to share linguistic influence. Rather than moving towards a single unified “netspeak” dialect, language evolution in computer-mediated communication reproduces existing fault lines in spoken American English. PMID:25409166

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

PubMed Central

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

2013-01-01

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

Functional cliques in the amygdala and related brain networks driven by fear assessment acquired during movie viewing.

PubMed

Kinreich, Sivan; Intrator, Nathan; Hendler, Talma

2011-01-01

One of the greatest challenges involved in studying the brain mechanisms of fear is capturing the individual's unique instantaneous experience. Brain imaging studies to date commonly sacrifice valuable information regarding the individual real-time conscious experience, especially when focusing on elucidating the amygdala's activity. Here, we assumed that by using a minimally intrusive cue along with applying a robust clustering approach to probe the amygdala, it would be possible to rate fear in real time and to derive the related network of activation. During functional magnetic resonance imaging scanning, healthy volunteers viewed two excerpts from horror movies and were periodically auditory cued to rate their instantaneous experience of "I'm scared." Using graph theory and community mathematical concepts, data-driven clustering of the fear-related functional cliques in the amygdala was performed guided by the individually marked periods of heightened fear. Individually tailored functions derived from these amygdala activation cliques were subsequently applied as general linear model predictors to a whole-brain analysis to reveal the correlated networks. Our results suggest that by using a localized robust clustering approach, it is possible to probe activation in the right dorsal amygdala that is directly related to individual real-time emotional experience. Moreover, this fear-evoked amygdala revealed two opposing networks of co-activation and co-deactivation, which correspond to vigilance and rest-related circuits, respectively.

Predictor-Based Model Reference Adaptive Control

NASA Technical Reports Server (NTRS)

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

2009-01-01

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

Investigation of basic cognitive predictors of reading and spelling abilities in Tunisian third-grade primary school children.

PubMed

Batnini, Soulef; Uno, Akira

2015-06-01

This study investigated first the main cognitive abilities; phonological processing, visual cognition, automatization and receptive vocabulary in predicting reading and spelling abilities in Arabic. Second, we compared good/poor readers and spellers to detect the characteristics of cognitive predictors which contribute to identifying reading and spelling difficulties in Arabic speaking children. A sample of 116 Tunisian third-grade children was tested on their abilities to read and spell, phonological processing, visual cognition, automatization and receptive vocabulary. For reading, phonological processing and automatization uniquely predicted Arabic word reading and paragraph reading abilities. Automatization uniquely predicted Arabic non-word reading ability. For spelling, phonological processing was a unique predictor for Arabic word spelling ability. Furthermore, poor readers had significantly lower scores on the phonological processing test and slower reading times on the automatization test as compared with good readers. Additionally, poor spellers showed lower scores on the phonological processing test as compared with good spellers. Visual cognitive processing and receptive vocabulary were not significant cognitive predictors of Arabic reading and spelling abilities for Tunisian third grade children in this study. Our results are consistent with previous studies in alphabetic orthographies and demonstrate that phonological processing and automatization are the best cognitive predictors in detecting early literacy problems. We suggest including phonological processing and automatization tasks in screening tests and in intervention programs may help Tunisian children with poor literacy skills overcome reading and spelling difficulties in Arabic. Copyright © 2014 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

Caregiver Strain among Black and White Daughter Caregivers: A Role Theory Perspective.

ERIC Educational Resources Information Center

Mui, Ada C.

1992-01-01

Examined caregiving strain of 117 African-American and 464 white daughter caregivers. African Americans reported less role strain. Conflict between caregiving duties and caregivers' personal/social life was predictor for both groups. Unique predictors were poor perceived health, unavailability of respite support, and lower caregiving role demand…

Interdependent Self-Construal, Self-Efficacy, and Community Involvement as Predictors of Perceived Knowledge Gain Among MMORPG Players.

PubMed

Hopp, Toby; Barker, Valerie; Schmitz Weiss, Amy

2015-08-01

This study explored the relationship between interdependent self-construal, video game self-efficacy, massively multiplayer online role-playing game (MMORPG) community involvement, and self-reported learning outcomes. The results suggested that self-efficacy and interdependent self-construal were positive and significant predictors of MMORPG community involvement. For its part, MMORPG community involvement was a positive predictor of self-reported learning in both focused and incidental forms. Supplementary analyses suggested that self-efficacy was a comparatively more robust predictor of MMORPG community involvement when compared to self-construal. Moreover, the present data suggest that community involvement significantly facilitated indirect relationships between self-construal, game-relevant self-efficacy, and both focused and incidental learning.

Mindfulness and Self-compassion as Unique and Common Predictors of Affect in the General Population.

PubMed

López, Angélica; Sanderman, Robbert; Schroevers, Maya J

2016-01-01

In contrast to the increased research interest in the benefits of mindfulness and self-compassion, relatively few studies have examined their unique and combined effects in predicting affect. This cross-sectional study examined the predictive value of mindfulness and self-compassion for depressive symptoms, negative affect, and positive affect in a large representative sample of community adults ( N  = 1736). The Five Facets of Mindfulness Questionnaire (FFMQ) was used as a measure of mindfulness and the Self-Compassion Scale (SCS) as a measure of self-compassion. Five FFMQ facets were explored: observe, describe, act with awareness, non-judgment, and non-reactivity. Two SCS facets were explored: its positive items (SCS Pos) and its negative items (SCS Neg). When simultaneously examining all seven facets of mindfulness and self-compassion, three of the five FFMQ facets and SCS Neg significantly predicted both depressive symptoms and negative affect, with SCS Neg and act with awareness being the strongest predictors. These findings suggest that a harsh attitude towards oneself and a lack of attention when acting have the greatest value in predicting the presence of psychological symptoms. With respect to positive affect, four of the five FFMQ facets (except non-judgment) were significant predictors, with no unique predictive value of the two SCS's facets, suggesting that mindfulness is a more important predictor of positive affect than self-compassion, as measured by the FFMQ and SCS.

Robust Methods for Moderation Analysis with a Two-Level Regression Model.

PubMed

Yang, Miao; Yuan, Ke-Hai

2016-01-01

Moderation analysis has many applications in social sciences. Most widely used estimation methods for moderation analysis assume that errors are normally distributed and homoscedastic. When these assumptions are not met, the results from a classical moderation analysis can be misleading. For more reliable moderation analysis, this article proposes two robust methods with a two-level regression model when the predictors do not contain measurement error. One method is based on maximum likelihood with Student's t distribution and the other is based on M-estimators with Huber-type weights. An algorithm for obtaining the robust estimators is developed. Consistent estimates of standard errors of the robust estimators are provided. The robust approaches are compared against normal-distribution-based maximum likelihood (NML) with respect to power and accuracy of parameter estimates through a simulation study. Results show that the robust approaches outperform NML under various distributional conditions. Application of the robust methods is illustrated through a real data example. An R program is developed and documented to facilitate the application of the robust methods.

Predictors of outcome in myxoedema coma

PubMed Central

Beynon, Jennifer; Akhtar, Simeen; Kearney, Tara

2008-01-01

Myxoedema coma is a rare and life-threatening illness the outcome of which has not been robustly studied in large numbers, partly due to its low incidence. Dutta and colleagues have explored outcome predictors in a developing country where access to thyroid function tests is more limited than in the Western world. Cardiovascular instability, reduced consciousness, persistent hypothermia, and sepsis all contributed to a poorer outcome, as has been demonstrated before, but a generic outcome predictor model was shown to be useful in this group of patients. Unfortunately, this observational study was unable to show differences in outcome based on replacement treatment methods and the mortality remains at 40%. PMID:18254932

Predictors of outcome in myxoedema coma.

PubMed

Beynon, Jennifer; Akhtar, Simeen; Kearney, Tara

2008-01-01

Myxoedema coma is a rare and life-threatening illness the outcome of which has not been robustly studied in large numbers, partly due to its low incidence. Dutta and colleagues have explored outcome predictors in a developing country where access to thyroid function tests is more limited than in the Western world. Cardiovascular instability, reduced consciousness, persistent hypothermia, and sepsis all contributed to a poorer outcome, as has been demonstrated before, but a generic outcome predictor model was shown to be useful in this group of patients. Unfortunately, this observational study was unable to show differences in outcome based on replacement treatment methods and the mortality remains at 40%.

Mothers' Reactions to Their Child's ASD Diagnosis: Predictors That Discriminate Grief from Distress

ERIC Educational Resources Information Center

Wayment, Heidi A.; Brookshire, Kristina A.

2018-01-01

We examined whether grief and general distress reactions characterized mothers' reactions to their child's ASD diagnosis, and whether these two types of reactions had unique predictors. Hierarchical regression analyses were conducted on data collected from 362 mothers recruited from the Interactive Autism Network (IAN). The mothers were…

Identifying gnostic predictors of the vaccine response.

PubMed

Haining, W Nicholas; Pulendran, Bali

2012-06-01

Molecular predictors of the response to vaccination could transform vaccine development. They would allow larger numbers of vaccine candidates to be rapidly screened, shortening the development time for new vaccines. Gene-expression based predictors of vaccine response have shown early promise. However, a limitation of gene-expression based predictors is that they often fail to reveal the mechanistic basis of their ability to classify response. Linking predictive signatures to the function of their component genes would advance basic understanding of vaccine immunity and also improve the robustness of vaccine prediction. New analytic tools now allow more biological meaning to be extracted from predictive signatures. Functional genomic approaches to perturb gene expression in mammalian cells permit the function of predictive genes to be surveyed in highly parallel experiments. The challenge for vaccinologists is therefore to use these tools to embed mechanistic insights into predictors of vaccine response. Copyright © 2012 Elsevier Ltd. All rights reserved.

Identifying gnostic predictors of the vaccine response

PubMed Central

Haining, W. Nicholas; Pulendran, Bali

2012-01-01

Molecular predictors of the response to vaccination could transform vaccine development. They would allow larger numbers of vaccine candidates to be rapidly screened, shortening the development time for new vaccines. Gene-expression based predictors of vaccine response have shown early promise. However, a limitation of gene-expression based predictors is that they often fail to reveal the mechanistic basis for their ability to classify response. Linking predictive signatures to the function of their component genes would advance basic understanding of vaccine immunity and also improve the robustness of outcome classification. New analytic tools now allow more biological meaning to be extracted from predictive signatures. Functional genomic approaches to perturb gene expression in mammalian cells permit the function of predictive genes to be surveyed in highly parallel experiments. The challenge for vaccinologists is therefore to use these tools to embed mechanistic insights into predictors of vaccine response. PMID:22633886

Digit Span as a measure of everyday attention: a study of ecological validity.

PubMed

Groth-Marnat, Gary; Baker, Sonya

2003-12-01

This study investigated the effectiveness of the WAIS-III Digit Span subtest to predict the everyday attention of 75 participants with heterogeneous neurological conditions who were administered the Digit Span subtest as well as the ecologically valid Test of Everyday Attention. In addition, the more visually oriented Picture Completion subtest along with the verbally loaded National Adult Reading Test were administered. Analysis indicated that, although Digit Span was a weak but statistically significant predictor of attentional ability (accounting for 12.7% of the unique variance). Picture Completion was a somewhat stronger predictor (accounting for 19% of the unique variance). The weak association of Digit Span and the Test of Everyday Attention, along with the finding that Picture Completion was a better predictor of performance on the Test of Everyday Attention, question the clinical utility of using Digit Span as a measure of everyday attention.

Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival

PubMed Central

Pérez-Beteta, Julián; Luque, Belén; Arregui, Elena; Calvo, Manuel; Borrás, José M; López, Carlos; Martino, Juan; Velasquez, Carlos; Asenjo, Beatriz; Benavides, Manuel; Herruzo, Ismael; Martínez-González, Alicia; Pérez-Romasanta, Luis; Arana, Estanislao; Pérez-García, Víctor M

2016-01-01

Objective: The main objective of this retrospective work was the study of three-dimensional (3D) heterogeneity measures of post-contrast pre-operative MR images acquired with T1 weighted sequences of patients with glioblastoma (GBM) as predictors of clinical outcome. Methods: 79 patients from 3 hospitals were included in the study. 16 3D textural heterogeneity measures were computed including run-length matrix (RLM) features (regional heterogeneity) and co-occurrence matrix (CM) features (local heterogeneity). The significance of the results was studied using Kaplan–Meier curves and Cox proportional hazards analysis. Correlation between the variables of the study was assessed using the Spearman's correlation coefficient. Results: Kaplan–Meyer survival analysis showed that 4 of the 11 RLM features and 4 of the 5 CM features considered were robust predictors of survival. The median survival differences in the most significant cases were of over 6 months. Conclusion: Heterogeneity measures computed on the post-contrast pre-operative T1 weighted MR images of patients with GBM are predictors of survival. Advances in knowledge: Texture analysis to assess tumour heterogeneity has been widely studied. However, most works develop a two-dimensional analysis, focusing only on one MRI slice to state tumour heterogeneity. The study of fully 3D heterogeneity textural features as predictors of clinical outcome is more robust and is not dependent on the selected slice of the tumour. PMID:27319577

Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.

PubMed

Molina, David; Pérez-Beteta, Julián; Luque, Belén; Arregui, Elena; Calvo, Manuel; Borrás, José M; López, Carlos; Martino, Juan; Velasquez, Carlos; Asenjo, Beatriz; Benavides, Manuel; Herruzo, Ismael; Martínez-González, Alicia; Pérez-Romasanta, Luis; Arana, Estanislao; Pérez-García, Víctor M

2016-07-04

The main objective of this retrospective work was the study of three-dimensional (3D) heterogeneity measures of post-contrast pre-operative MR images acquired with T 1 weighted sequences of patients with glioblastoma (GBM) as predictors of clinical outcome. 79 patients from 3 hospitals were included in the study. 16 3D textural heterogeneity measures were computed including run-length matrix (RLM) features (regional heterogeneity) and co-occurrence matrix (CM) features (local heterogeneity). The significance of the results was studied using Kaplan-Meier curves and Cox proportional hazards analysis. Correlation between the variables of the study was assessed using the Spearman's correlation coefficient. Kaplan-Meyer survival analysis showed that 4 of the 11 RLM features and 4 of the 5 CM features considered were robust predictors of survival. The median survival differences in the most significant cases were of over 6 months. Heterogeneity measures computed on the post-contrast pre-operative T 1 weighted MR images of patients with GBM are predictors of survival. Texture analysis to assess tumour heterogeneity has been widely studied. However, most works develop a two-dimensional analysis, focusing only on one MRI slice to state tumour heterogeneity. The study of fully 3D heterogeneity textural features as predictors of clinical outcome is more robust and is not dependent on the selected slice of the tumour.

Invited address: Street killings: prediction of homicide offenders and their victims.

PubMed

Loeber, Rolf; Ahonen, Lia

2013-11-01

The article reports on childhood predictors (explanatory, behavioral and offenses) to predict homicide offenders in the longitudinal Pittsburgh Youth Study, and compares these predictors with predictors of homicide victims in the same study. This forms the basis for formulating antecedents that are shared between homicide offenders and homicide victims at a young age (ages 7–11) and antecedents that are not shared or are unique for each. Implications of the research are highlighted for early intervention and for interventions with high-risk offenders.

Mixed Psychological Changes Following Mastectomy: Unique Predictors and Heterogeneity of Post-traumatic Growth and Post-traumatic Depreciation

PubMed Central

Kroemeke, Aleksandra; Bargiel-Matusiewicz, Kamilla; Kalamarz, Magdalena

2017-01-01

Objectives: Post-traumatic growth (PTG) and its opposite—post-traumatic depreciation (PTD)—may be treated as important indicators of the patient quality of life. In the absence of studies on both, PTG and PTD in cancer patients, we investigated (1) coping strategies and support effectiveness as predictors of PTG and PTD in post-mastectomy women, (2) homogeneous classes with different intensity of PTG and PTD symptoms, and (3) correlates of class membership. Methods: Coping strategies (Brief COPE), support effectiveness (SSE-Q), PTG (PTGI), and PTD (negatively reworded items of PTGI) were measured in 84 post-mastectomy women (mean age = 62.27, SD = 8.38). Multiple regression, two-step cluster, and multinomial logistic regression were applied. Results: PTG and PTD had unique predictors: time since diagnosis and positive emotion-focused coping predicted PTG (R2 = 0.24), while negative emotion-focused and avoidance-focused coping and low support effectiveness were linked to PTD (R2 = 0.14). Four groups of PTG × PTD symptoms were identified: high PTG low PTD group (52.4%), low PTG low PTD group (17.9%), high PTG high PTD group (15.5%), and low PTG high PTD group (14.3%). Higher emotion- and avoidance-focused coping was characteristic for the high PTD low PTG group (R2 = 0.41). Conclusion: Our findings shed light on the coexistence and unique predictors of PTG and PTD after mastectomy, indicating heterogeneity in PTG and PTD levels among post-mastectomy women. PMID:28775703

Mixed Psychological Changes Following Mastectomy: Unique Predictors and Heterogeneity of Post-traumatic Growth and Post-traumatic Depreciation.

PubMed

Kroemeke, Aleksandra; Bargiel-Matusiewicz, Kamilla; Kalamarz, Magdalena

2017-01-01

Objectives: Post-traumatic growth (PTG) and its opposite-post-traumatic depreciation (PTD)-may be treated as important indicators of the patient quality of life. In the absence of studies on both, PTG and PTD in cancer patients, we investigated (1) coping strategies and support effectiveness as predictors of PTG and PTD in post-mastectomy women, (2) homogeneous classes with different intensity of PTG and PTD symptoms, and (3) correlates of class membership. Methods: Coping strategies (Brief COPE), support effectiveness (SSE-Q), PTG (PTGI), and PTD (negatively reworded items of PTGI) were measured in 84 post-mastectomy women (mean age = 62.27, SD = 8.38). Multiple regression, two-step cluster, and multinomial logistic regression were applied. Results: PTG and PTD had unique predictors: time since diagnosis and positive emotion-focused coping predicted PTG ( R 2 = 0.24), while negative emotion-focused and avoidance-focused coping and low support effectiveness were linked to PTD ( R 2 = 0.14). Four groups of PTG × PTD symptoms were identified: high PTG low PTD group (52.4%), low PTG low PTD group (17.9%), high PTG high PTD group (15.5%), and low PTG high PTD group (14.3%). Higher emotion- and avoidance-focused coping was characteristic for the high PTD low PTG group ( R 2 = 0.41). Conclusion: Our findings shed light on the coexistence and unique predictors of PTG and PTD after mastectomy, indicating heterogeneity in PTG and PTD levels among post-mastectomy women.

Temperament and Parenting during the First Year of Life Predict Future Child Conduct Problems

PubMed Central

Lahey, Benjamin B.; Van Hulle, Carol A.; Keenan, Kate; Rathouz, Paul J.; D’Onofrio, Brian M.; Rodgers, Joseph Lee; Waldman, Irwin D.

2010-01-01

Predictive associations between parenting and temperament during the first year of life and child conduct problems were assessed longitudinally in 1,863 offspring of a representative sample of women. Maternal ratings of infant fussiness, activity level, predictability, and positive affect each independently predicted maternal ratings of conduct problems during ages 4–13 years. Furthermore, a significant interaction indicated that infants who were both low in fussiness and high in predictability were at very low risk for future conduct problems. Fussiness was a stronger predictor of conduct problems in boys whereas fearfulness was a stronger predictor in girls. Conduct problems also were robustly predicted by low levels of early mother-report cognitive stimulation. Interviewer-rated maternal responsiveness was a robust predictor of conduct problems, but only among infants low in fearfulness. Spanking during infancy predicted slightly more severe conduct problems, but the prediction was moderated by infant fussiness and positive affect. Thus, individual differences in risk for mother-rated conduct problems across childhood are already partly evident in maternal ratings of temperament during the first year of life and are predicted by early parenting and parenting-by-temperament interactions. PMID:18568397

Bayesian nonparametric regression with varying residual density

PubMed Central

Pati, Debdeep; Dunson, David B.

2013-01-01

We consider the problem of robust Bayesian inference on the mean regression function allowing the residual density to change flexibly with predictors. The proposed class of models is based on a Gaussian process prior for the mean regression function and mixtures of Gaussians for the collection of residual densities indexed by predictors. Initially considering the homoscedastic case, we propose priors for the residual density based on probit stick-breaking (PSB) scale mixtures and symmetrized PSB (sPSB) location-scale mixtures. Both priors restrict the residual density to be symmetric about zero, with the sPSB prior more flexible in allowing multimodal densities. We provide sufficient conditions to ensure strong posterior consistency in estimating the regression function under the sPSB prior, generalizing existing theory focused on parametric residual distributions. The PSB and sPSB priors are generalized to allow residual densities to change nonparametrically with predictors through incorporating Gaussian processes in the stick-breaking components. This leads to a robust Bayesian regression procedure that automatically down-weights outliers and influential observations in a locally-adaptive manner. Posterior computation relies on an efficient data augmentation exact block Gibbs sampler. The methods are illustrated using simulated and real data applications. PMID:24465053

Toward an Understanding of Dimensions, Predictors, and the Gender Gap in Written Composition

ERIC Educational Resources Information Center

Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy

2015-01-01

We had 3 aims in the present study: (a) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum-based measurement [CBM] writing scoring), (b) to investigate unique language and cognitive predictors of the identified dimensions, and (c) to examine gender gap in the…

Higher Education Is an Age-Independent Predictor of White Matter Integrity and Cognitive Control in Late Adolescence

ERIC Educational Resources Information Center

Noble, Kimberly G.; Korgaonkar, Mayuresh S.; Grieve, Stuart M.; Brickman, Adam M.

2013-01-01

Socioeconomic status is an important predictor of cognitive development and academic achievement. Late adolescence provides a unique opportunity to study how the attainment of socioeconomic status (in the form of years of education) relates to cognitive and neural development, during a time when age-related cognitive and neural development is…

Job Demands and Job Resources as Predictors of Absence Duration and Frequency.

ERIC Educational Resources Information Center

Bakker, Arnold B.; Demerouti, Evangelia; de Boer, Elpine; Schaufeli, Wilmar B.

2003-01-01

Structural equation modeling of data from 214 employees indicated that job demands uniquely predicted burnout and indirectly predicted length of absence. Job resources (physical, psychological, social, or organizational aspects that reduce job demands or stimulate growth) uniquely predicted organizational commitment and indirectly predicted spells…

Transgression as addiction: religiosity and moral disapproval as predictors of perceived addiction to pornography.

PubMed

Grubbs, Joshua B; Exline, Julie J; Pargament, Kenneth I; Hook, Joshua N; Carlisle, Robert D

2015-01-01

Perceived addiction to Internet pornography is increasingly a focus of empirical attention. The present study examined the role that religious belief and moral disapproval of pornography use play in the experience of perceived addiction to Internet pornography. Results from two studies in undergraduate samples (Study 1, N = 331; Study 2, N = 97) indicated that there was a robust positive relationship between religiosity and perceived addiction to pornography and that this relationship was mediated by moral disapproval of pornography use. These results persisted even when actual use of pornography was controlled. Furthermore, although religiosity was negatively predictive of acknowledging any pornography use, among pornography users, religiosity was unrelated to actual levels of use. A structural equation model from a web-based sample of adults (Study 3, N = 208) revealed similar results. Specifically, religiosity was robustly predictive of perceived addiction, even when relevant covariates (e.g., trait self-control, socially desirable responding, neuroticism, use of pornography) were held constant. In sum, the present study indicated that religiosity and moral disapproval of pornography use were robust predictors of perceived addiction to Internet pornography while being unrelated to actual levels of use among pornography consumers.

Family and Teacher Characteristics as Predictors of Parent Involvement in Education During Early Childhood Among Afro-Caribbean and Latino Immigrant Families.

PubMed

Calzada, Esther J; Huang, Keng-Yen; Hernandez, Miguel; Soriano, Erika; Acra, C Francoise; Dawson-McClure, Spring; Kamboukos, Dimitra; Brotman, Laurie

2015-10-01

Parent involvement is a robust predictor of academic achievement, but little is known about school- and home-based involvement in immigrant families. Drawing on ecological theories, the present study examined contextual characteristics as predictors of parent involvement among Afro-Caribbean and Latino parents of young students in urban public schools. Socioeconomic disadvantage was associated with lower home-based involvement. Several factors were associated with higher involvement, including parents' connection to their culture of origin and to U.S. culture, engagement practices by teachers and parent-teacher ethnic consonance (for Latinos only). Findings have implications for promoting involvement among immigrant families of students in urban schools.

Modulating Oxidative Stress and Inflammation in Elders: The MOXIE Study

PubMed Central

Ellis, Amy Cameron; Dudenbostel, Tanja; Locher, Julie L.; Crowe-White, Kristi

2016-01-01

Cardiovascular disease (CVD) is the leading cause of death among women in the United States. Endothelial dysfunction and arterial stiffness increase with advancing age and are early predictors of future CVD outcomes. We designed the Modulating Oxidative Stress and Inflammation in Elders (MOXIE) study to examine the effects of 100% watermelon juice as a “food-first” intervention to reduce CVD risk among African American (AA) and European American (EA) women aged 55–69 years. Vascular dysfunction is more pronounced in AA compared to EA women due in part to lower nitric oxide bioavailability caused by higher oxidative stress. However, bioactive compounds in watermelon may improve vascular function by increasing nitric oxide bioavailability and antioxidant capacity. This trial will use a randomized, placebo-controlled, crossover design to investigate the potential of 100% watermelon juice to positively impact various robust measures of vascular function as well as serum biomarkers of oxidative stress and antioxidant capacity. This nutrition intervention and its unique methodology to examine both clinical and mechanistic outcomes are described in this article. PMID:27897608

Gut Microbiome-Based Metagenomic Signature for Non-invasive Detection of Advanced Fibrosis in Human Nonalcoholic Fatty Liver Disease.

PubMed

Loomba, Rohit; Seguritan, Victor; Li, Weizhong; Long, Tao; Klitgord, Niels; Bhatt, Archana; Dulai, Parambir Singh; Caussy, Cyrielle; Bettencourt, Richele; Highlander, Sarah K; Jones, Marcus B; Sirlin, Claude B; Schnabl, Bernd; Brinkac, Lauren; Schork, Nicholas; Chen, Chi-Hua; Brenner, David A; Biggs, William; Yooseph, Shibu; Venter, J Craig; Nelson, Karen E

2017-05-02

The presence of advanced fibrosis in nonalcoholic fatty liver disease (NAFLD) is the most important predictor of liver mortality. There are limited data on the diagnostic accuracy of gut microbiota-derived signature for predicting the presence of advanced fibrosis. In this prospective study, we characterized the gut microbiome compositions using whole-genome shotgun sequencing of DNA extracted from stool samples. This study included 86 uniquely well-characterized patients with biopsy-proven NAFLD, of which 72 had mild/moderate (stage 0-2 fibrosis) NAFLD, and 14 had advanced fibrosis (stage 3 or 4 fibrosis). We identified a set of 40 features (p < 0.006), which included 37 bacterial species that were used to construct a Random Forest classifier model to distinguish mild/moderate NAFLD from advanced fibrosis. The model had a robust diagnostic accuracy (AUC 0.936) for detecting advanced fibrosis. This study provides preliminary evidence for a fecal-microbiome-derived metagenomic signature to detect advanced fibrosis in NAFLD. Copyright © 2017 Elsevier Inc. All rights reserved.

Multidimensional In Vivo Hazard Assessment Using Zebrafish

PubMed Central

Tanguay, Robert L.

2014-01-01

There are tens of thousands of man-made chemicals in the environment; the inherent safety of most of these chemicals is not known. Relevant biological platforms and new computational tools are needed to prioritize testing of chemicals with limited human health hazard information. We describe an experimental design for high-throughput characterization of multidimensional in vivo effects with the power to evaluate trends relating to commonly cited chemical predictors. We evaluated all 1060 unique U.S. EPA ToxCast phase 1 and 2 compounds using the embryonic zebrafish and found that 487 induced significant adverse biological responses. The utilization of 18 simultaneously measured endpoints means that the entire system serves as a robust biological sensor for chemical hazard. The experimental design enabled us to describe global patterns of variation across tested compounds, evaluate the concordance of the available in vitro and in vivo phase 1 data with this study, highlight specific mechanisms/value-added/novel biology related to notochord development, and demonstrate that the developmental zebrafish detects adverse responses that would be missed by less comprehensive testing strategies. PMID:24136191

Event centrality as a unique predictor of posttraumatic stress symptoms and perceived disability following spinal cord injury.

PubMed

Boals, A; Trost, Z; Berntsen, D; Nowlin, L; Wheelis, T; Monden, K R

2017-11-01

We conducted a cross-sectional study involving completion of self-report measures. Individuals who acquire a spinal cord injury (SCI) face numerous physical and psychological challenges, with the former receiving considerable less attention during the rehabilitation process. In this article, we examined event centrality as a unique predictor of psychological outcomes in a sample of individuals receiving rehabilitation for SCI. Event centrality refers to the extent to which individuals construe a stressful experience as a core part of their identity. In samples of individuals exposed to psychological traumas (for example, sexual assault or military combat), event centrality has emerged as a consistent and powerful predictor of posttraumatic stress symptoms (PTSSs). This is the first study to examine event centrality in an SCI sample. Inpatient rehabilitation program in a large urban city in the Southwestern United States. A sample of 55 participants in rehabilitation for a recent SCI completed measures of event centrality, PTSS, depressed mood and perceived disability. Event centrality was significantly related to perceived disability (r=0.48) and PTSS (r=0.31) and accounted for unique variance in these two outcomes after controlling for demographics and depressed mood. Event centrality is common among individuals with SCI and may be a unique contributor to worse psychological and functional outcomes. We hope our findings will alert health-care professionals to the importance of event centrality. This study was supported by a grant from the Danish National Research Foundation (DNRF89).

Robust averaging protects decisions from noise in neural computations

PubMed Central

Herce Castañón, Santiago; Solomon, Joshua A.; Vandormael, Hildward

2017-01-01

An ideal observer will give equivalent weight to sources of information that are equally reliable. However, when averaging visual information, human observers tend to downweight or discount features that are relatively outlying or deviant (‘robust averaging’). Why humans adopt an integration policy that discards important decision information remains unknown. Here, observers were asked to judge the average tilt in a circular array of high-contrast gratings, relative to an orientation boundary defined by a central reference grating. Observers showed robust averaging of orientation, but the extent to which they did so was a positive predictor of their overall performance. Using computational simulations, we show that although robust averaging is suboptimal for a perfect integrator, it paradoxically enhances performance in the presence of “late” noise, i.e. which corrupts decisions during integration. In other words, robust decision strategies increase the brain’s resilience to noise arising in neural computations during decision-making. PMID:28841644

Gender Differences in Vocational Rehabilitation Service Predictors of Successful Competitive Employment for Transition-Aged Individuals with Autism

ERIC Educational Resources Information Center

Sung, Connie; Sánchez, Jennifer; Kuo, Hung-Jen; Wang, Chia-Chiang; Leahy, Michael J.

2015-01-01

As males and females with autism spectrum disorder (ASD) experience different symptomology, their needs for vocational rehabilitation (VR) are unique as they transition into adulthood. This study examined the effects of gender differences in VR service predictors on employment outcomes for transition-aged individuals with ASD. A total of 1696…

Secondary Traumatic Stress and Burnout in Child Welfare Workers: A Comparative Analysis of Occupational Distress across Professional Groups

ERIC Educational Resources Information Center

Sprang, Ginny; Craig, Carlton; Clark, James

2011-01-01

This study describes predictors of secondary traumatic stress and burnout in a national sample of helping professionals, with a specific focus on the unique responses of child welfare (CW) workers. Specific worker and exposure characteristics are examined as possible predictors of these forms of occupational distress in a sample of 669…

Predictors of Grief and Depressed Mood among Gay Men Following an Aids-Related Loss

ERIC Educational Resources Information Center

Wayment, Heidi A.; Kemeny, Margaret E.

2004-01-01

This prospective study examined the unique predictors of grief and depressed mood in a sample of gay men (34 HIV positive, 69 HIV negative) who lost a close friend to AIDS. Individuals low in self-esteem reported greater depressed mood but no differences in grief following the death. Individuals with personality factors that predispose toward…

Phoneme Awareness, Visual-Verbal Paired-Associate Learning, and Rapid Automatized Naming as Predictors of Individual Differences in Reading Ability

ERIC Educational Resources Information Center

Warmington, Meesha; Hulme, Charles

2012-01-01

This study examines the concurrent relationships between phoneme awareness, visual-verbal paired-associate learning, rapid automatized naming (RAN), and reading skills in 7- to 11-year-old children. Path analyses showed that visual-verbal paired-associate learning and RAN, but not phoneme awareness, were unique predictors of word recognition,…

Social Network Analysis of Children with Autism Spectrum Disorder: Predictors of Fragmentation and Connectivity in Elementary School Classrooms

ERIC Educational Resources Information Center

Anderson, Ariana; Locke, Jill; Kretzmann, Mark; Kasari, Connie

2016-01-01

Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and…

Skin prick test responses and allergen-specific IgE levels as predictors of peanut, egg, and sesame allergy in infants.

PubMed

Peters, Rachel L; Allen, Katrina J; Dharmage, Shyamali C; Tang, Mimi L K; Koplin, Jennifer J; Ponsonby, Anne-Louise; Lowe, Adrian J; Hill, David; Gurrin, Lyle C

2013-10-01

Ninety-five percent positive predictive values (PPVs) provide an invaluable tool for clinicians to avoid unnecessary oral food challenges. However, 95% PPVs specific to infants, the age group most likely to present for diagnosis of food allergy, are limited. We sought to develop skin prick test (SPT) and allergen-specific IgE (sIgE) thresholds with 95% PPVs for challenge-confirmed food allergy in a large population-based cohort of 1-year-old infants with challenges undertaken irrespective of SPT wheal size or previous history of ingestion. HealthNuts is a population-based, longitudinal food allergy study with baseline recruitment of 1-year-old infants. Infants were recruited from council-run immunization sessions during which they underwent SPTs to 4 allergens: egg, peanut, sesame, and cow's milk/shrimp. Any infant with a detectable SPT response was invited to undergo oral food challenge and sIgE testing. Five thousand two hundred seventy-six infants participated in the study. Peanut SPT responses of 8 mm or greater (95% CI, 7-9 mm), egg SPT responses of 4 mm or greater (95% CI, 3-5 mm), and sesame SPT responses of 8 mm or greater (95% CI, 5-9 mm) had 95% PPVs for challenge-proved food allergy. Peanut sIgE levels of 34 kUA/L or greater (95% CI, 14-48 kUA/L) and egg sIgE levels of 1.7 kUA/L or greater (95% CI, 1-3 kUA/L) had 95% PPVs for challenge-proved food allergy. Results were robust when stratified on established risk factors for food allergy. Egg SPT responses and sIgE levels were poor predictors of allergy to egg in baked goods. These 95% PPVs, which were generated from a unique dataset, are valuable for the diagnosis of food allergy in young infants and were robust when stratified across a number of different risk factors. Copyright © 2013 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.

Girls with Emotional Disturbance and a History of Arrest: Characteristics and School-Based Predictors of Arrest

ERIC Educational Resources Information Center

Gage, Nicholas A.; Josephs, Nikki L.; Lunde, Kimberly

2012-01-01

Research suggests that girls receiving special education services for Emotional Disturbance (ED) may have unique characteristics and needs. Similarly, juvenile justice research has identified unique characteristics of court-involved girls. This study examined characteristics of girls with ED and a history of arrest. Additionally, classroom-based…

Unique risk and protective factors for partner aggression in a large scale air force survey.

PubMed

Slep, Amy M Smith; Foran, Heather M; Heyman, Richard E; Snarr, Jeffery D

2010-08-01

The objective of this study is to examine risk factors of physical aggression against a partner in a large representative Active Duty Air Force sample. A stratified sample of 128,950 United States Active Duty members were invited to participate in an Air Force-wide anonymous online survey across 82 bases. The final sample (N = 52,780) was weighted to be representative of the United States Air Force. Backward stepwise regression analyses were conducted to identify unique predictors of partner physical aggression perpetration within and across different ecological levels (individual, family, organization, and community levels). Relationship satisfaction, alcohol problems, financial stress, and number of years in the military were identified as unique predictors of men's and women's perpetration of violence against their partner across ecological levels. Parental status, support from neighbors, personal coping, and support from formal agencies also uniquely predicted men's but not women's perpetration of violence across ecological levels. This study identified specific risk factors of partner violence that may be targeted by prevention and intervention efforts aimed at different levels of impact (e.g., family interventions, community-wide programs).

Invited Address: Street Killings: Prediction of Homicide Offenders and Their Victims

PubMed Central

Loeber, Rolf; Ahonen, Lia

2016-01-01

The article reports on childhood predictors (explanatory, behavioral and offenses) to predict homicide offenders in the longitudinal Pittsburgh Youth Study, and compares these predictors with predictors of homicide victims in the same study. This forms the basis for formulating antecedents that are shared between homicide offenders and homicide victims at a young age (ages 7–11) and antecedents that are not shared or are unique for each. Implications of the research are highlighted for early intervention and for interventions with high-risk offenders. PMID:24122366

More Precise Estimation of Lower-Level Interaction Effects in Multilevel Models.

PubMed

Loeys, Tom; Josephy, Haeike; Dewitte, Marieke

2018-01-01

In hierarchical data, the effect of a lower-level predictor on a lower-level outcome may often be confounded by an (un)measured upper-level factor. When such confounding is left unaddressed, the effect of the lower-level predictor is estimated with bias. Separating this effect into a within- and between-component removes such bias in a linear random intercept model under a specific set of assumptions for the confounder. When the effect of the lower-level predictor is additionally moderated by another lower-level predictor, an interaction between both lower-level predictors is included into the model. To address unmeasured upper-level confounding, this interaction term ought to be decomposed into a within- and between-component as well. This can be achieved by first multiplying both predictors and centering that product term next, or vice versa. We show that while both approaches, on average, yield the same estimates of the interaction effect in linear models, the former decomposition is much more precise and robust against misspecification of the effects of cross-level and upper-level terms, compared to the latter.

Robust extrema features for time-series data analysis.

PubMed

Vemulapalli, Pramod K; Monga, Vishal; Brennan, Sean N

2013-06-01

The extraction of robust features for comparing and analyzing time series is a fundamentally important problem. Research efforts in this area encompass dimensionality reduction using popular signal analysis tools such as the discrete Fourier and wavelet transforms, various distance metrics, and the extraction of interest points from time series. Recently, extrema features for analysis of time-series data have assumed increasing significance because of their natural robustness under a variety of practical distortions, their economy of representation, and their computational benefits. Invariably, the process of encoding extrema features is preceded by filtering of the time series with an intuitively motivated filter (e.g., for smoothing), and subsequent thresholding to identify robust extrema. We define the properties of robustness, uniqueness, and cardinality as a means to identify the design choices available in each step of the feature generation process. Unlike existing methods, which utilize filters "inspired" from either domain knowledge or intuition, we explicitly optimize the filter based on training time series to optimize robustness of the extracted extrema features. We demonstrate further that the underlying filter optimization problem reduces to an eigenvalue problem and has a tractable solution. An encoding technique that enhances control over cardinality and uniqueness is also presented. Experimental results obtained for the problem of time series subsequence matching establish the merits of the proposed algorithm.

Appraisal and control of sexual and non-sexual intrusive thoughts in university students.

PubMed

Clark, D A; Purdon, C; Byers, E S

2000-05-01

This study examined differences in the appraisal and thought control strategies associated with the perceived control of unwanted sexual and non-sexual intrusive thoughts. Eleven appraisal dimensions, subjective physiological arousal and 10 thought control strategies were measured in 171 university students who were administered the Revised Obsessive Intrusions Inventory-Sex Version, a self-report measure of unwanted intrusive thoughts. Thought-action fusion (TAF) likelihood was a significant unique predictor of the perceived controllability of respondents' most upsetting sexual and non-sexual intrusive thought. Moreover greater subjective physiological arousal was a significant predictor of reduced control over sexual intrusions, whereas worry that one might act on an intrusive thought and greater effort to control the intrusion were significant unique predictors of the control of non-sexual intrusive thoughts. Various thought control strategies were more often used in response to non-sexual than sexual cognitions. The results are discussed in terms of the differential role of various appraisal processes in the control of unwanted sexual and non-sexual thoughts.

Cognitive Prediction of Reading, Math, and Attention: Shared and Unique Influences.

PubMed

Peterson, Robin L; Boada, Richard; McGrath, Lauren M; Willcutt, Erik G; Olson, Richard K; Pennington, Bruce F

The current study tested a multiple-cognitive predictor model of word reading, math ability, and attention in a community-based sample of twins ages 8 to 16 years ( N = 636). The objective was to identify cognitive predictors unique to each skill domain as well as cognitive predictors shared among skills that could help explain their overlap and thus help illuminate the basis for comorbidity of related disorders (reading disability, math disability, and attention deficit hyperactivity disorder). Results indicated that processing speed contributes to the overlap between reading and attention as well as math and attention, whereas verbal comprehension contributes to the overlap between reading and math. There was no evidence that executive functioning skills help account for covariation among these skill domains. Instead, specific executive functions differentially related to certain outcomes (i.e., working memory to math and inhibition to attention). We explored whether the model varied in younger versus older children and found only minor differences. Results are interpreted within the context of the multiple deficit framework for neurodevelopmental disorders.

Global epigenetic profiling identifies methylation subgroups associated with recurrence-free survival in meningioma

PubMed Central

Olar, Adriana; Wani, Khalida M; Wilson, Charmaine D; Zadeh, Gelareh; DeMonte, Franco; Jones, David TW; Pfister, Stefan M; Sulman, Erik P; Aldape, Kenneth D

2017-01-01

Meningioma is the most common primary brain tumor and carries a substantial risk of local recurrence. Methylation profiles of meningioma and their clinical implications are not well understood. We hypothesized that aggressive meningiomas have unique DNA methylation patterns that could be used to better stratify patient management. Samples (n=140) were profiled using the Illumina HumanMethylation450 BeadChip. Unsupervised modeling on a training set (n=89) identified 2 molecular methylation subgroups of meningioma (MM) with significantly different recurrence free survival (RFS) times between the groups: a prognostically unfavorable subgroup (MM-UNFAV) and a prognostically favorable subgroup (MM-FAV). This finding was validated in the remaining 51 samples and led to a baseline meningioma methylation classifier (bMMC) defined by 283 CpG loci (283-bMMC). To further optimize a recurrence predictor, probes subsumed within the baseline classifier were subject to additional modeling using a similar training/validation approach, leading to a 64-CpG loci meningioma methylation predictor (64-MMP). After adjustment for relevant clinical variables [WHO grade, mitotic index, Simpson grade, sex, location, and copy number aberrations (CNA)] multivariable analyses for RFS showed that the baseline methylation classifier was not significant (p=0.0793). The methylation predictor however was significantly associated with tumor recurrence (p<0.0001). CNA were extracted from the 450k intensity profiles. Tumor samples in the MM-UNFAV subgroup showed an overall higher proportion of CNAs compared to the MM-FAV subgroup tumors and the CNAs were complex in nature. CNAs in the MM-UNFAV subgroup included recurrent losses of 1p, 6q, 14q and 18q, and gain of 1q, all of which were previously identified as indicators of poor outcome. In conclusion, our analyses demonstrate robust DNA methylation signatures in meningioma that correlate with CNAs and stratify patients by recurrence risk. PMID:28130639

Variable fidelity robust optimization of pulsed laser orbital debris removal under epistemic uncertainty

NASA Astrophysics Data System (ADS)

Hou, Liqiang; Cai, Yuanli; Liu, Jin; Hou, Chongyuan

2016-04-01

A variable fidelity robust optimization method for pulsed laser orbital debris removal (LODR) under uncertainty is proposed. Dempster-shafer theory of evidence (DST), which merges interval-based and probabilistic uncertainty modeling, is used in the robust optimization. The robust optimization method optimizes the performance while at the same time maximizing its belief value. A population based multi-objective optimization (MOO) algorithm based on a steepest descent like strategy with proper orthogonal decomposition (POD) is used to search robust Pareto solutions. Analytical and numerical lifetime predictors are used to evaluate the debris lifetime after the laser pulses. Trust region based fidelity management is designed to reduce the computational cost caused by the expensive model. When the solutions fall into the trust region, the analytical model is used to reduce the computational cost. The proposed robust optimization method is first tested on a set of standard problems and then applied to the removal of Iridium 33 with pulsed lasers. It will be shown that the proposed approach can identify the most robust solutions with minimum lifetime under uncertainty.

Predicting fertility.

PubMed

Maheshwari, Abha; Bhattacharya, Siladitya; Johnson, Neil P

2008-06-01

Various predictors of fertility have been described, suggesting that none are ideal. The literature on tests of ovarian reserve is largely limited to women undergoing in vitro fertilization, and is reliant on the use of surrogate markers, such as cycle cancellation and number of oocytes retrieved, as reference standards. Currently available prediction models are far from ideal; most are applicable only to subfertile women seeking assisted reproduction, and lack external validation. Systematic reviews and meta-analyses of predictors of fertility are limited by their heterogeneity in terms of the population sampled, predictors tested and reference standards used. There is an urgent need for consensus in the design of these studies, definition of abnormal tests, and, above all, a need to use robust outcomes such as live birth as the reference standard. There are no reliable predictors of fertility that can guide women as to how long childbearing can be deferred.

Bi-Objective Optimal Control Modification Adaptive Control for Systems with Input Uncertainty

NASA Technical Reports Server (NTRS)

Nguyen, Nhan T.

2012-01-01

This paper presents a new model-reference adaptive control method based on a bi-objective optimal control formulation for systems with input uncertainty. A parallel predictor model is constructed to relate the predictor error to the estimation error of the control effectiveness matrix. In this work, we develop an optimal control modification adaptive control approach that seeks to minimize a bi-objective linear quadratic cost function of both the tracking error norm and predictor error norm simultaneously. The resulting adaptive laws for the parametric uncertainty and control effectiveness uncertainty are dependent on both the tracking error and predictor error, while the adaptive laws for the feedback gain and command feedforward gain are only dependent on the tracking error. The optimal control modification term provides robustness to the adaptive laws naturally from the optimal control framework. Simulations demonstrate the effectiveness of the proposed adaptive control approach.

Robust diamond meshes with unique wettability properties.

PubMed

Yang, Yizhou; Li, Hongdong; Cheng, Shaoheng; Zou, Guangtian; Wang, Chuanxi; Lin, Quan

2014-03-18

Robust diamond meshes with excellent superhydrophobic and superoleophilic properties have been fabricated. Superhydrophobicity is observed for water with varying pH from 1 to 14 with good recyclability. Reversible superhydrophobicity and hydrophilicity can be easily controlled. The diamond meshes show highly efficient water-oil separation and water pH droplet transference.

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

NASA Astrophysics Data System (ADS)

Mehta, Utkal; Kaya, İbrahim

2017-11-01

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

Family and Teacher Characteristics as Predictors of Parent Involvement in Education During Early Childhood Among Afro-Caribbean and Latino Immigrant Families

PubMed Central

Calzada, Esther J.; Huang, Keng-Yen; Hernandez, Miguel; Soriano, Erika; Acra, C. Francoise; Dawson-McClure, Spring; Kamboukos, Dimitra; Brotman, Laurie

2015-01-01

Parent involvement is a robust predictor of academic achievement, but little is known about school- and home-based involvement in immigrant families. Drawing on ecological theories, the present study examined contextual characteristics as predictors of parent involvement among Afro-Caribbean and Latino parents of young students in urban public schools. Socioeconomic disadvantage was associated with lower home-based involvement. Several factors were associated with higher involvement, including parents’ connection to their culture of origin and to U.S. culture, engagement practices by teachers and parent–teacher ethnic consonance (for Latinos only). Findings have implications for promoting involvement among immigrant families of students in urban schools. PMID:26417116

Predictors of dyadic planning: Perspectives of prostate cancer survivors and their partners.

PubMed

Keller, Jan; Wiedemann, Amelie U; Hohl, Diana Hilda; Scholz, Urte; Burkert, Silke; Schrader, Mark; Knoll, Nina

2017-02-01

Extending individual planning of health behaviour change to the level of the dyad, dyadic planning refers to a target person and a planning partner jointly planning the target person's health behaviour change. To date, predictors of dyadic planning have not been systematically investigated. Integrating cognitive predictors of individual planning with four established predictor domains of social support provision, we propose a framework of predictors of dyadic planning. Including target persons' and partners' perspectives, we examine these predictor domains in the context of prostate cancer patients' rehabilitative pelvic floor exercise (PFE) following radical prostatectomy. Longitudinal data from 175 patients and their partners were analysed in a study with four post-surgery assessments across 6 months. PFE-related dyadic planning was assessed from both partners together with indicators from four predictor domains: context, target person, partner, and relationship factors. Individual planning and social support served as covariates. Findings from two-level models nesting repeated assessments in individuals showed that context (patients' incontinence), target person (i.e., positive affect and self-efficacy), and relationship factors (i.e., relationship satisfaction) were uniquely associated with dyadic planning, whereas partner factors (i.e., positive and negative affects) were not. Factors predicting patients' and partners' accounts of dyadic planning differed. Resembling prior findings on antecedents of support provision in this context, partner factors did not prevail as unique predictors of dyadic planning, whereas indicators from all other predictor domains did. To establish predictive direction, future work should use lagged predictions with shorter intermeasurement intervals. Statement of contribution What is already known on this subject? Dyadic planning has been shown to be linked to health behaviour change. However, its role in behaviour regulation frameworks is not well investigated, especially regarding factors that might be predictive of dyadic planning. What does this study add? A framework of predictors of dyadic planning in the health behaviour change process is presented. The framework is investigated accounting for both planning partners' perspectives. Context, target person, and relationship factors were related to dyadic planning. © 2016 The British Psychological Society.

Numerical predictors of arithmetic success in grades 1-6.

PubMed

Lyons, Ian M; Price, Gavin R; Vaessen, Anniek; Blomert, Leo; Ansari, Daniel

2014-09-01

Math relies on mastery and integration of a wide range of simpler numerical processes and concepts. Recent work has identified several numerical competencies that predict variation in math ability. We examined the unique relations between eight basic numerical skills and early arithmetic ability in a large sample (N = 1391) of children across grades 1-6. In grades 1-2, children's ability to judge the relative magnitude of numerical symbols was most predictive of early arithmetic skills. The unique contribution of children's ability to assess ordinality in numerical symbols steadily increased across grades, overtaking all other predictors by grade 6. We found no evidence that children's ability to judge the relative magnitude of approximate, nonsymbolic numbers was uniquely predictive of arithmetic ability at any grade. Overall, symbolic number processing was more predictive of arithmetic ability than nonsymbolic number processing, though the relative importance of symbolic number ability appears to shift from cardinal to ordinal processing. © 2014 John Wiley & Sons Ltd.

Uniqueness and Overlap: Characteristics and Longitudinal Correlates of Native Chinese Children’s Writing in English as a Foreign Language

PubMed Central

Zhang, Juan; McBride-Chang, Catherine; Wagner, Richard K.; Chan, Shingfong

2015-01-01

Longitudinal predictors of writing composition in Chinese and English written by the same 153 Hong Kong nine-year-old children were tested, and their production errors within the English essays across ten categories, focusing on punctuation, spelling, and grammar, were compared to errors made by ninety American nine-year-olds writing on the same topic. The correlation between quality of the compositions in Chinese and English was .53. In stepwise regression analyses examining early predictors at ages between five and nine years, tasks of speed or fluency were consistently uniquely associated with Chinese writing composition; measures of English vocabulary knowledge, word reading, or both were consistently uniquely associated with English writing quality. Compared to the American children, Chinese children’s writing reflected significantly higher proportions of errors in all grammatical categories but did not differ in punctuation or spelling. Findings underscore both similarities and differences in writing at different levels across languages. PMID:25729319

Predictors of Self-Reported Physical Symptoms in Low-Income, Inner-City African American Women: The Role of Optimism, Depressive Symptoms, and Chronic Illness

ERIC Educational Resources Information Center

Jones, Deborah J.; O'Connell, Cara; Gound, Mary; Heller, Laurie; Forehand, Rex

2004-01-01

In this study we examined the association of optimism and depressive symptoms with self-reported physical symptoms in 241 low-income, inner-city African American women with or without a chronic illness (HIV). Although optimism was not a unique predictor of self-reported physical symptoms over and above depressive symptoms, optimism interacted with…

IQ Is Not Strongly Related to Response to Reading Instruction: A Meta-Analytic Interpretation

ERIC Educational Resources Information Center

Stuebing, Karla K.; Barth, Amy E.; Molfese, Peter J.; Weiss, Brandon; Fletcher, Jack M.

2009-01-01

A meta-analysis of 22 studies evaluating the relation of different assessments of IQ and intervention response did not support the hypothesis that IQ is an important predictor of response to instruction. We found an R[superscript 2] of 0.03 in models with IQ and the autoregressor as predictors and a unique lower estimated R[superscript 2] of 0.006…

Robust control algorithms for Mars aerobraking

NASA Technical Reports Server (NTRS)

Shipley, Buford W., Jr.; Ward, Donald T.

1992-01-01

Four atmospheric guidance concepts have been adapted to control an interplanetary vehicle aerobraking in the Martian atmosphere. The first two offer improvements to the Analytic Predictor Corrector (APC) to increase its robustness to density variations. The second two are variations of a new Liapunov tracking exit phase algorithm, developed to guide the vehicle along a reference trajectory. These four new controllers are tested using a six degree of freedom computer simulation to evaluate their robustness. MARSGRAM is used to develop realistic atmospheres for the study. When square wave density pulses perturb the atmosphere all four controllers are successful. The algorithms are tested against atmospheres where the inbound and outbound density functions are different. Square wave density pulses are again used, but only for the outbound leg of the trajectory. Additionally, sine waves are used to perturb the density function. The new algorithms are found to be more robust than any previously tested and a Liapunov controller is selected as the most robust control algorithm overall examined.

Exploring Expressive Vocabulary Variability in Two-Year-Olds: The Role of Working Memory.

PubMed

Newbury, Jayne; Klee, Thomas; Stokes, Stephanie F; Moran, Catherine

2015-12-01

This study explored whether measures of working memory ability contribute to the wide variation in 2-year-olds' expressive vocabulary skills. Seventy-nine children (aged 24-30 months) were assessed by using standardized tests of vocabulary and visual cognition, a processing speed measure, and behavioral measures of verbal working memory and phonological short-term memory. Strong correlations were observed between phonological short-term memory, verbal working memory, and expressive vocabulary. Speed of spoken word recognition showed a moderate significant correlation with expressive vocabulary. In a multivariate regression model for expressive vocabulary, the most powerful predictor was a measure of phonological short-term memory (accounting for 66% unique variance), followed by verbal working memory (6%), sex (2%), and age (1%). Processing speed did not add significant unique variance. These findings confirm previous research positing a strong role for phonological short-term memory in early expressive vocabulary acquisition. They also extend previous research in two ways. First, a unique association between verbal working memory and expressive vocabulary in 2-year-olds was observed. Second, processing speed was not a unique predictor of variance in expressive vocabulary when included alongside measures of working memory.

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

NASA Astrophysics Data System (ADS)

Pande, Saket; Sharma, Ashish

2014-05-01

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

Unified dead-time compensation structure for SISO processes with multiple dead times.

PubMed

Normey-Rico, Julio E; Flesch, Rodolfo C C; Santos, Tito L M

2014-11-01

This paper proposes a dead-time compensation structure for processes with multiple dead times. The controller is based on the filtered Smith predictor (FSP) dead-time compensator structure and it is able to control stable, integrating, and unstable processes with multiple input/output dead times. An equivalent model of the process is first computed in order to define the predictor structure. Using this equivalent model, the primary controller and the predictor filter are tuned to obtain an internally stable closed-loop system which also attempts some closed-loop specifications in terms of set-point tracking, disturbance rejection, and robustness. Some simulation case studies are used to illustrate the good properties of the proposed approach. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method.

PubMed

Takahashi, Hiro; Kobayashi, Takeshi; Honda, Hiroyuki

2005-01-15

For establishing prognostic predictors of various diseases using DNA microarray analysis technology, it is desired to find selectively significant genes for constructing the prognostic model and it is also necessary to eliminate non-specific genes or genes with error before constructing the model. We applied projective adaptive resonance theory (PART) to gene screening for DNA microarray data. Genes selected by PART were subjected to our FNN-SWEEP modeling method for the construction of a cancer class prediction model. The model performance was evaluated through comparison with a conventional screening signal-to-noise (S2N) method or nearest shrunken centroids (NSC) method. The FNN-SWEEP predictor with PART screening could discriminate classes of acute leukemia in blinded data with 97.1% accuracy and classes of lung cancer with 90.0% accuracy, while the predictor with S2N was only 85.3 and 70.0% or the predictor with NSC was 88.2 and 90.0%, respectively. The results have proven that PART was superior for gene screening. The software is available upon request from the authors. honda@nubio.nagoya-u.ac.jp

Efficient and robust relaxation procedures for multi-component mixtures including phase transition

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

Han, Ee, E-mail: eehan@math.uni-bremen.de; Hantke, Maren, E-mail: maren.hantke@ovgu.de; Müller, Siegfried, E-mail: mueller@igpm.rwth-aachen.de

We consider a thermodynamic consistent multi-component model in multi-dimensions that is a generalization of the classical two-phase flow model of Baer and Nunziato. The exchange of mass, momentum and energy between the phases is described by additional source terms. Typically these terms are handled by relaxation procedures. Available relaxation procedures suffer from efficiency and robustness resulting in very costly computations that in general only allow for one-dimensional computations. Therefore we focus on the development of new efficient and robust numerical methods for relaxation processes. We derive exact procedures to determine mechanical and thermal equilibrium states. Further we introduce a novelmore » iterative method to treat the mass transfer for a three component mixture. All new procedures can be extended to an arbitrary number of inert ideal gases. We prove existence, uniqueness and physical admissibility of the resulting states and convergence of our new procedures. Efficiency and robustness of the procedures are verified by means of numerical computations in one and two space dimensions. - Highlights: • We develop novel relaxation procedures for a generalized, thermodynamically consistent Baer–Nunziato type model. • Exact procedures for mechanical and thermal relaxation procedures avoid artificial parameters. • Existence, uniqueness and physical admissibility of the equilibrium states are proven for special mixtures. • A novel iterative method for mass transfer is introduced for a three component mixture providing a unique and admissible equilibrium state.« less

The relation of linguistic awareness and vocabulary to word reading and spelling for first grade students participating in Response to Intervention

PubMed Central

Kim, Young-Suk; Apel, Kenn; Otaiba, Stephanie Al

2013-01-01

Purpose We examined the relations of phonological, morphological, and orthographic awareness and vocabulary to word reading and spelling for first grade children who were receiving differentiated instruction in a Response to Intervention (RTI) model of instruction (N = 304). Method First grade children were assessed on their phonological, morphological, and orthographic awareness, expressive vocabulary, word reading, and spelling. Year-end word reading and spelling were outcome variables while phonological, morphological, and orthographic awareness, expressive vocabulary, and RTI status (Tiers 1, 2, & 3) were predictor variables assessed in the middle of the school year. Results The three linguistic awareness skills were unique predictors of word reading and phonological and orthographic awareness were unique predictors of spelling. The contributions these linguistic awareness skills and vocabulary made to word reading and spelling did not differ by children's RTI tier status. Conclusion These results, in conjunction with previous studies, suggest that even beginning readers and spellers draw on multiple linguistic awareness skills for their word reading and spelling regardless of their level of literacy skills. Educational implications are discussed. PMID:23833281

The relation of linguistic awareness and vocabulary to word reading and spelling for first-grade students participating in response to intervention.

PubMed

Kim, Young-Suk; Apel, Kenn; Al Otaiba, Stephanie

2013-10-01

The relations of phonological, orthographic, and morphological awareness and vocabulary to word reading and spelling were examined for 304 first-grade children who were receiving differentiated instruction in a Response to Intervention (RtI) model of instruction. First-grade children were assessed on their phonological, orthographic, and morphological awareness; expressive vocabulary; word reading; and spelling. Year-end word reading and spelling were outcome variables, and phonological, orthographic, and morphological awareness; expressive vocabulary; and RtI status (Tiers 1, 2, & 3) were predictor variables. The 3 linguistic awareness skills were unique predictors of word reading, and phonological and orthographic awareness were unique predictors of spelling. The contributions that these linguistic awareness skills and vocabulary made to word reading and spelling did not differ by children's RtI tier status. These results, in conjunction with previous studies, suggest that even beginning readers and spellers draw on multiple linguistic awareness skills for their word reading and spelling regardless of their level of literacy abilities. Educational implications are discussed.

Global robust stability of bidirectional associative memory neural networks with multiple time delays.

PubMed

Senan, Sibel; Arik, Sabri

2007-10-01

This correspondence presents a sufficient condition for the existence, uniqueness, and global robust asymptotic stability of the equilibrium point for bidirectional associative memory neural networks with discrete time delays. The results impose constraint conditions on the network parameters of the neural system independently of the delay parameter, and they are applicable to all bounded continuous nonmonotonic neuron activation functions. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.

Antecedents of emotion knowledge: Predictors of individual differences in young children

PubMed Central

Bennett, David S.; Bendersky, Margaret; Lewis, Michael

2006-01-01

Individual differences in emotion knowledge were examined among 188 4-year-old, predominantly African American children. Cognitive ability and negative emotionality, maternal characteristics (parenting, verbal intelligence, and depressive symptoms), environmental risk, and child sex were examined as predictors of emotion knowledge. Regression analyses indicated that cognitively skilled children who resided in relatively low risk environments with verbally intelligent mothers possessed greater emotion knowledge. Proximal (4-year) child cognitive ability was a stronger predictor than distal (2-year) cognitive ability. Positive parenting at 4 years was correlated with child emotion knowledge, but this relation disappeared when parenting was examined in the context of other predictors. These findings highlight the potential role of child cognitive ability, along with environmental risk and maternal verbal intelligence, in children’s emotion knowledge and demonstrate the importance of examining a variety of predictors for their unique contribution to emotion knowledge. PMID:16894396

School Quality and Learning Gains in Rural Guatemala

ERIC Educational Resources Information Center

Marshall, Jeffery H.

2009-01-01

I use unusually detailed data on schools, teachers and classrooms to explain student achievement growth in rural Guatemala. Several variables that have received little attention in previous studies--including the number of school days, teacher content knowledge and pedagogical methods--are robust predictors of achievement. A series of…

Pain, physical functioning, and overeating in obese rheumatoid arthritis patients: do thoughts about pain and eating matter?

PubMed

Somers, Tamara J; Wren, Anava A; Blumenthal, James A; Caldwell, David; Huffman, Kim M; Keefe, Francis J

2014-08-01

Obese rheumatoid arthritis (RA) patients have higher levels of pain, disability, and disease activity than do nonobese patients with RA. Patients' health-related thoughts about arthritis and weight may be important to consider in obese patients with RA who face the dual challenge of managing RA and weight. The objective of this study was to examine the relationships of pain catastrophizing, self-efficacy (ie, confidence) for arthritis management and self-efficacy for weight management to important outcomes in obese patients with RA. We expected that after controlling for demographic and medical variables, higher levels of pain catastrophizing and lower levels of confidence would account for significant and unique variance in pain, physical functioning, and overeating. Participants had a diagnosis of RA and a body mass index of 28 kg/m or greater and completed self-report questionnaires assessing pain, physical functioning, overeating, pain catastrophizing, self-efficacy for arthritis management, self-efficacy for weight management, and a 6-minute walk test. Pain catastrophizing, self-efficacy for arthritis, and self-efficacy for weight management were significantly and uniquely related to RA-related outcomes. Pain catastrophizing was a significant independent predictor of pain severity (β = 0.38); self-efficacy for arthritis was a significant independent predictor of self-report physical functioning (β = -0.37) and the 6-minute walk performance (β = 0.44), and self-efficacy for weight management was a significant independent predictor of overeating (β = -0.58). Pain catastrophizing, self-efficacy for arthritis, and self-efficacy for weight management each contributed uniquely to relate to key outcomes in obese patients with RA. Clinicians should consider assessment of thought processes when assessing and intervening with patients who face dual health challenges; unique intervention approaches may be needed for addressing the challenges of arthritis and weight.

Unique equilibrium states for Bonatti–Viana diffeomorphisms

NASA Astrophysics Data System (ADS)

Climenhaga, Vaughn; Fisher, Todd; Thompson, Daniel J.

2018-06-01

We show that the robustly transitive diffeomorphisms constructed by Bonatti and Viana have unique equilibrium states for natural classes of potentials. In particular, we characterize the SRB measure as the unique equilibrium state for a suitable geometric potential. The techniques developed are applicable to a wide class of DA diffeomorphisms, and persist under C 1 perturbations of the map. These results are an application of general machinery developed by the first and last named authors.

The Pivotal Role of Adolescent Autonomy in Secondary School Classrooms

PubMed Central

Allen, Joseph P.; Mikami, Amori Yee; Gregory, Anne; Hamre, Bridget; Pianta, Robert C.

2012-01-01

Student engagement is an important contributor to school success, yet high school students routinely describe themselves as disengaged. Identifying factors that alter (increase) engagement is a key aspect of improving support for student achievement. This study investigated students’ perceptions of autonomy, teacher connection, and academic competence as predictors of changes in student engagement within the classroom from the start to the end of a course. Participants were 578 (58% female) diverse (67.8% White, 25.2% African American, 5.1% Hispanic, 1.2% Asian American) high school students from 34 classrooms who provided questionnaire data both at the start and the end of a single course. Novel results from a cross-lagged model demonstrated that students who perceived their classrooms as allowing and encouraging their own autonomy in the first few weeks increased their engagement throughout the course, rather than the typical decline in engagement that was demonstrated by students in other classrooms. This finding is unique in that it extended to both students’ perceptions of engagement and observations of student engagement, suggesting a fairly robust pattern. The pertinence of this finding to adolescent developmental needs and its relationship to educational practice is discussed. PMID:22198156

Nonsuicidal self-injury and interpersonal violence in U.S. veterans seeking help for posttraumatic stress disorder.

PubMed

Calhoun, Patrick S; Van Voorhees, Elizabeth E; Elbogen, Eric B; Dedert, Eric A; Clancy, Carolina P; Hair, Lauren P; Hertzberg, Michael; Beckham, Jean C; Kimbrel, Nathan A

2017-01-01

Nonsuicidal self-injury (NSSI) has been defined as deliberately damaging one's body tissue without conscious suicidal intent. NSSI is a robust predictor of suicidal ideation and attempts in adults. While NSSI has been associated with other-directed violence in adolescent populations, the link between NSSI and interpersonal violence in adults is less clear. The current study examined the cross-sectional relationship between NSSI and past-year interpersonal violence among 729 help-seeking veterans with posttraumatic stress disorder (PTSD). Veterans who reported a recent history of engaging in cutting, hitting, or burning themselves were significantly more likely to report making violent threats and engaging in violent acts, including the use of a knife or gun, in the past year than veterans without NSSI. NSSI was uniquely associated with interpersonal violence after controlling for a variety of dispositional, historical, contextual, and clinical risk factors for violence, including age, race, socio-economic status, marital status, employment status, combat exposure, alcohol misuse, depression, PTSD symptom severity, and reported difficulty controlling violence. These findings suggest that clinicians working with veterans with PTSD should review NSSI history when conducting a risk assessment of violence. Published by Elsevier Ireland Ltd.

Electron-density descriptors as predictors in quantitative structure--activity/property relationships and drug design.

PubMed

Matta, Chérif F; Arabi, Alya A

2011-06-01

The use of electron density-based molecular descriptors in drug research, particularly in quantitative structure--activity relationships/quantitative structure--property relationships studies, is reviewed. The exposition starts by a discussion of molecular similarity and transferability in terms of the underlying electron density, which leads to a qualitative introduction to the quantum theory of atoms in molecules (QTAIM). The starting point of QTAIM is the topological analysis of the molecular electron-density distributions to extract atomic and bond properties that characterize every atom and bond in the molecule. These atomic and bond properties have considerable potential as bases for the construction of robust quantitative structure--activity/property relationships models as shown by selected examples in this review. QTAIM is applicable to the electron density calculated from quantum-chemical calculations and/or that obtained from ultra-high resolution x-ray diffraction experiments followed by nonspherical refinement. Atomic and bond properties are introduced followed by examples of application of each of these two families of descriptors. The review ends with a study whereby the molecular electrostatic potential, uniquely determined by the density, is used in conjunction with atomic properties to elucidate the reasons for the biological similarity of bioisosteres.

Fate and Contribution of Internal Wave-Forced Barnacle Settlers to Community Structure in Northern Baja California, a Year after Settlement

NASA Astrophysics Data System (ADS)

Lievana, A.; Ladah, L. B.; Lavin, M. F.; Filonov, A. E.; Tapia, F. J.; Leichter, J.; Valencia Gasti, J. A.

2016-02-01

Physical transport processes, such as nonlinear internal waves, operating within the coastal ocean of Baja California, Mexico, are diverse, variable and operate on a variety of temporal and spatial scales. Understanding the influence of nonlinear internal waves, in part responsible for the exchange of water properties between coastal and offshore environments, on the structure of intertidal communities is important for the generation of working ecological models. The relationship between the supply of ecological subsidies associated with physical transport processes that operate on relatively short spatial and temporal scales, such as the internal tide, and intertidal community structure must be understood as processes that operate on distinct spatial and temporal scales may be prone to react uniquely as the climate changes. We designed an experiment to quantify recruitment and adult survivorship of Chthamalus sp. whose settlement was associated with internal wave activity in the nearby ocean and found that the number of settlers was a robust predictor of the number of adults observed, indicating that post-settlement processes such as competition and predation are not likely to significantly affect the structure of the intertidal barnacle community resulting from internal-wave forced settlement.

Examining Reciprocal Influences Among Family Climate, School Attachment, and Academic Self-Regulation: Implications for School Success

PubMed Central

Xia, Mengya; Fosco, Gregory M.; Feinberg, Mark E.

2015-01-01

Guided by family systems and ecological theories, this study examined the multi-contextual implications of family, school, and individual domains for adolescents' school success. The first goal of this study was to examine reciprocal influences among family climate, school attachment, and academic self-regulation (ASR) during the middle school years. The second goal was to test the relative impact of each of these domains on adolescents' school adjustment and academic achievement after the transition to high school. We applied a cross-lag structural equation modeling approach to longitudinal data from 979 6th grade students and their families, followed over five measurement occasions, from 6th through 9th grade. Controlling for family income, parent education, and adolescent gender, the results revealed reciprocal relationships between the family climate and school attachment over time; both of these factors were related to increases in ASR over time. In turn, ASR was a robust predictor of academic success, with unique associations with school adjustment and academic achievement. Family climate and school adjustment had modest to marginal associations with school adjustment, and no association with academic achievement. Applications of these findings for family-school interventions are discussed. PMID:26376426

The pivotal role of adolescent autonomy in secondary school classrooms.

PubMed

Hafen, Christopher A; Allen, Joseph P; Mikami, Amori Yee; Gregory, Anne; Hamre, Bridget; Pianta, Robert C

2012-03-01

Student engagement is an important contributor to school success, yet high school students routinely describe themselves as disengaged. Identifying factors that alter (increase) engagement is a key aspect of improving support for student achievement. This study investigated students' perceptions of autonomy, teacher connection, and academic competence as predictors of changes in student engagement within the classroom from the start to the end of a course. Participants were 578 (58% female) diverse (67.8% White, 25.2% African American, 5.1% Hispanic, 1.2% Asian American) high school students from 34 classrooms who provided questionnaire data both at the start and the end of a single course. Novel results from a cross-lagged model demonstrated that students who perceived their classrooms as allowing and encouraging their own autonomy in the first few weeks increased their engagement throughout the course, rather than the typical decline in engagement that was demonstrated by students in other classrooms. This finding is unique in that it extended to both students' perceptions of engagement and observations of student engagement, suggesting a fairly robust pattern. The pertinence of this finding to adolescent developmental needs and its relationship to educational practice is discussed.

Nonsuicidal Self-Injury and Interpersonal Violence in U.S. Veterans Seeking Help for Posttraumatic Stress Disorder

PubMed Central

Calhoun, Patrick S.; Van Voorhees, Elizabeth E.; Elbogen, Eric B.; Dedert, Eric A.; Clancy, Carolina P.; Hair, Lauren P.; Hertzberg, Michael; Beckham, Jean C.; Kimbrel, Nathan A.

2016-01-01

Nonsuicidal self-injury (NSSI) has been defined as deliberately damaging one's body tissue without conscious suicidal intent. NSSI is a robust predictor of suicidal ideation and attempts in adults. While NSSI has been associated with other-directed violence in adolescent populations, the link between NSSI and interpersonal violence in adults is less clear. The current study examined the cross-sectional relationship between NSSI and past-year interpersonal violence among 729 help-seeking veterans with posttraumatic stress disorder (PTSD). Veterans who reported a recent history of engaging in cutting, hitting, or burning themselves were significantly more likely to report making violent threats and engaging in violent acts, including the use of a knife or gun, in the past year than veterans without NSSI. NSSI was uniquely associated with interpersonal violence after controlling for a variety of dispositional, historical, contextual, and clinical risk factors for violence, including age, race, socio-economic status, marital status, employment status, combat exposure, alcohol misuse, depression, PTSD symptom severity, and reported difficulty controlling violence. These findings suggest that clinicians working with veterans with PTSD should review NSSI history when conducting a risk assessment of violence. PMID:27930966

Relationship of Personality Disorders to the Course of Major Depressive Disorder in a Nationally Representative Sample

PubMed Central

Skodol, Andrew E.; Grilo, Carlos M.; Keyes, Katherine; Geier, Timothy; Grant, Bridget F.; Hasin, Deborah S.

2011-01-01

Objective The purpose of this study was to examine the effects of specific personality disorder co-morbidity on the course of major depressive disorder in a nationally-representative sample. Method Data were drawn from 1,996 participants in a national survey. Participants who met criteria for major depressive disorder at baseline in face-to-face interviews (2001–2002) were re-interviewed three years later (2004–2005) to determine persistence and recurrence. Predictors included all DSM-IV personality disorders. Control variables included demographic characteristics, other Axis I disorders, family and treatment histories, and previously established predictors of the course of major depressive disorder. Results 15.1% of participants had persistent major depressive disorder and 7.3% of those who remitted had a recurrence. Univariate analyses indicated that avoidant, borderline, histrionic, paranoid, schizoid, and schizotypal personality disorders all elevated the risk for persistence. With Axis I co-morbidity controlled, all but histrionic personality disorder remained significant. With all other personality disorders controlled, borderline and schizotypal remained significant predictors. In final, multivariate analyses that controlled for age at onset of major depressive disorder, number of previous episodes, duration of current episode, family history, and treatment, borderline personality disorder remained a robust predictor of major depressive disorder persistence. Neither personality disorders nor other clinical variables predicted recurrence. Conclusions In this nationally-representative sample of adults with major depressive disorder, borderline personality disorder robustly predicted persistence, a finding that converges with recent clinical studies. Personality psychopathology, particularly borderline personality disorder, should be assessed in all patients with major depressive disorder, considered in prognosis, and addressed in treatment. PMID:21245088

Ecological momentary assessment in a behavioral drinking moderation training program.

PubMed

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

1998-08-01

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

Robust authentication through stochastic femtosecond laser filament induced scattering surfaces

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

Zhang, Haisu; Tzortzakis, Stelios, E-mail: stzortz@iesl.forth.gr; Materials Science and Technology Department, University of Crete, 71003 Heraklion

2016-05-23

We demonstrate a reliable authentication method by femtosecond laser filament induced scattering surfaces. The stochastic nonlinear laser fabrication nature results in unique authentication robust properties. This work provides a simple and viable solution for practical applications in product authentication, while also opens the way for incorporating such elements in transparent media and coupling those in integrated optical circuits.

Quantum Communications Systems

DTIC Science & Technology

2012-09-21

metrology practical. The strategy was to develop robust photonic quantum states and sensors serving as an archetype for loss-tolerant information...communications and metrology. Our strategy consisted of developing robust photonic quantum states and sensors serving as an archetype for loss-tolerant...developed atomic memories in caesium vapour, based on a stimulated Raman transition, that have demonstrated a TBP greater than 1000 and are uniquely suited

NHLBI-AbDesigner: an online tool for design of peptide-directed antibodies.

PubMed

Pisitkun, Trairak; Hoffert, Jason D; Saeed, Fahad; Knepper, Mark A

2012-01-01

Investigation of physiological mechanisms at a cellular level often requires production of high-quality antibodies, frequently using synthetic peptides as immunogens. Here we describe a new, web-based software tool called NHLBI-AbDesigner that allows the user to visualize the information needed to choose optimal peptide sequences for peptide-directed antibody production (http://helixweb.nih.gov/AbDesigner/). The choice of an immunizing peptide is generally based on a need to optimize immunogenicity, antibody specificity, multispecies conservation, and robustness in the face of posttranslational modifications (PTMs). AbDesigner displays information relevant to these criteria as follows: 1) "Immunogenicity Score," based on hydropathy and secondary structure prediction; 2) "Uniqueness Score," a predictor of specificity of an antibody against all proteins expressed in the same species; 3) "Conservation Score," a predictor of ability of the antibody to recognize orthologs in other animal species; and 4) "Protein Features" that show structural domains, variable regions, and annotated PTMs that may affect antibody performance. AbDesigner displays the information online in an interactive graphical user interface, which allows the user to recognize the trade-offs that exist for alternative synthetic peptide choices and to choose the one that is best for a proposed application. Several examples of the use of AbDesigner for the display of such trade-offs are presented, including production of a new antibody to Slc9a3. We also used the program in large-scale mode to create a database listing the 15-amino acid peptides with the highest Immunogenicity Scores for all known proteins in five animal species, one plant species (Arabidopsis thaliana), and Saccharomyces cerevisiae.

Fear of GI symptoms has an important impact on quality of life in patients with moderate-to-severe IBS.

PubMed

Lackner, Jeffrey M; Gudleski, Gregory D; Ma, Chang-Xing; Dewanwala, Akriti; Naliboff, Bruce

2014-11-01

Because irritable bowel syndrome (IBS) is a functional medical condition for which there is no curative therapy, treatment goals emphasize relieving gastrointestinal (GI) symptoms and optimizing the quality of life (QOL). This study sought to characterize the magnitude of the associations between QOL impairment, fear of IBS symptoms, and confounding variables. Subjects included 234 Rome III-diagnosed IBS patients (mean age, 41 years, 79%, female) without comorbid organic GI disease who were referred to two specialty care clinics of an National Institutes of Health trial for IBS. Subjects completed a testing battery that included the IBS-specific QOL (IBS-QOL), SF-12 (generic QOL), the UCLA GI Symptom Severity Scale, the Visceral Sensitivity Index, Trait Anxiety Inventory, and Brief Symptom Inventory. Multiple linear regression was used to develop a model for predicting QOL. Data supported an overall model that included sociodemographic, clinical (e.g., current severity of GI symptoms), and psychosocial (e.g., fear of GI symptoms, distress, neuroticism) variables, accounting for 48.7% of the variance in IBS-QOL (F=15.1, P <0.01). GI symptom fear was the most robust predictor of IBS-QOL (β=-0.45 P <0.01), accounting for 14.4% of the total variance. Patients' fear that GI symptoms have aversive consequences, is a predictor of QOL impairment that cannot be fully explained by the severity of their GI symptoms, overall emotional well-being, neurotic personality style, or other clinical features of IBS. An understanding of the unique impact that GI symptom fears have on QOL can inform treatment planning and help gastroenterologists to better manage more severe IBS patients seen in tertiary care clinics.

A comparison of attitude, personality, and knowledge predictors of service-oriented organizational citizenship behaviors.

PubMed

Bettencourt, L A; Gwinner, K P; Meuter, M L

2001-02-01

Attitude, personality, and customer knowledge antecedents were compared in their predictive ability of 3 service-oriented forms of employee organizational citizenship behaviors (OCBs): loyalty, service delivery, and participation. For the 1st study, 236 customer-contact employees provided data concerning their OCBs and the attitude, personality, and knowledge antecedents. The 2nd investigation relied on data provided by 144 contact employees from a network of university libraries. Using hierarchical regression in both studies, the authors found that each of the 3 types of service-oriented OCBs was best predicted by different subsets of the antecedents. Job attitudes accounted for the most unique variance in loyalty OCBs, personality accounted for the most unique variance in service delivery OCBs, and customer knowledge and personality jointly were the best predictors of participation OCBs.

Managing Student Loan Default Risk: Evidence from a Privately Guaranteed Portfolio.

ERIC Educational Resources Information Center

Monteverde, Kirk

2000-01-01

Application of the statistical techniques of survival analysis and credit scoring to private education loans extended to law students found a pronounced seasoning effect for such loans and the robust predictive power of credit bureau scoring of borrowers. Other predictors of default included school-of-attendance, school's geographic location, and…

Mutation Is a Sufficient and Robust Predictor of Genetic Variation for Mitotic Spindle Traits in Caenorhabditis elegans

PubMed Central

Farhadifar, Reza; Ponciano, José Miguel; Andersen, Erik C.; Needleman, Daniel J.; Baer, Charles F.

2016-01-01

Different types of phenotypic traits consistently exhibit different levels of genetic variation in natural populations. There are two potential explanations: Either mutation produces genetic variation at different rates or natural selection removes or promotes genetic variation at different rates. Whether mutation or selection is of greater general importance is a longstanding unresolved question in evolutionary genetics. We report mutational variances (VM) for 19 traits related to the first mitotic cell division in Caenorhabditis elegans and compare them to the standing genetic variances (VG) for the same suite of traits in a worldwide collection C. elegans. Two robust conclusions emerge. First, the mutational process is highly repeatable: The correlation between VM in two independent sets of mutation accumulation lines is ∼0.9. Second, VM for a trait is a good predictor of VG for that trait: The correlation between VM and VG is ∼0.9. This result is predicted for a population at mutation–selection balance; it is not predicted if balancing selection plays a primary role in maintaining genetic variation. PMID:27334268

Gender differences in vocational rehabilitation service predictors of successful competitive employment for transition-aged individuals with autism.

PubMed

Sung, Connie; Sánchez, Jennifer; Kuo, Hung-Jen; Wang, Chia-Chiang; Leahy, Michael J

2015-10-01

As males and females with autism spectrum disorder (ASD) experience different symptomology, their needs for vocational rehabilitation (VR) are unique as they transition into adulthood. This study examined the effects of gender differences in VR service predictors on employment outcomes for transition-aged individuals with ASD. A total of 1696 individuals (857 males and 839 females) were analyzed from a sample of RSA-911 data of FY 2011. Hierarchical logistic regression analyses were conducted. Results revealed both gender-independent VR service predictors (with job placement and on-the-job supports more beneficial for both genders) and gender-specific predictors of employment (with counseling and guidance, job search assistance, and other services more beneficial for the male group). This study provides support for individualized gender-specific VR services for people with ASD.

Design for robustness of unique, multi-component engineering systems

NASA Astrophysics Data System (ADS)

Shelton, Kenneth A.

2007-12-01

The purpose of this research is to advance the science of conceptual designing for robustness in unique, multi-component engineering systems. Robustness is herein defined as the ability of an engineering system to operate within a desired performance range even if the actual configuration has differences from specifications within specified tolerances. These differences are caused by three sources, namely manufacturing errors, system degradation (operational wear and tear), and parts availability. Unique, multi-component engineering systems are defined as systems produced in unique or very small production numbers. They typically have design and manufacturing costs on the order of billions of dollars, and have multiple, competing performance objectives. Design time for these systems must be minimized due to competition, high manpower costs, long manufacturing times, technology obsolescence, and limited available manpower expertise. Most importantly, design mistakes cannot be easily corrected after the systems are operational. For all these reasons, robustness of these systems is absolutely critical. This research examines the space satellite industry in particular. Although inherent robustness assurance is absolutely critical, it is difficult to achieve in practice. The current state of the art for robustness in the industry is to overdesign components and subsystems with redundancy and margin. The shortfall is that it is not known if the added margins were either necessary or sufficient given the risk management preferences of the designer or engineering system customer. To address this shortcoming, new assessment criteria to evaluate robustness in design concepts have been developed. The criteria are comprised of the "Value Distance", addressing manufacturing errors and system degradation, and "Component Distance", addressing parts availability. They are based on an evolutionary computation format that uses a string of alleles to describe the components in the design concept. These allele values are unitless themselves, but map to both configuration descriptions and attribute values. The Value Distance and Component Distance are metrics that measure the relative differences between two design concepts using the allele values, and all differences in a population of design concepts are calculated relative to a reference design, called the "base design". The base design is the top-ranked member of the population in weighted terms of robustness and performance. Robustness is determined based on the change in multi-objective performance as Value Distance and Component Distance (and thus differences in design) increases. It is assessed as acceptable if differences in design configurations up to specified tolerances result in performance changes that remain within a specified performance range. The design configuration difference tolerances and performance range together define the designer's risk management preferences for the final design concepts. Additionally, a complementary visualization capability was developed, called the "Design Solution Topography". This concept allows the visualization of a population of design concepts, and is a 3-axis plot where each point represents an entire design concept. The axes are the Value Distance, Component Distance and Performance Objective. The key benefit of the Design Solution Topography is that it allows the designer to visually identify and interpret the overall robustness of the current population of design concepts for a particular performance objective. In a multi-objective problem, each performance objective has its own Design Solution Topography view. These new concepts are implemented in an evolutionary computation-based conceptual designing method called the "Design for Robustness Method" that produces robust design concepts. The design procedures associated with this method enable designers to evaluate and ensure robustness in selected designs that also perform within a desired performance range. The method uses an evolutionary computation-based procedure to generate populations of large numbers of alternative design concepts, which are assessed for robustness using the Value Distance, Component Distance and Design Solution Topography procedures. The Design for Robustness Method provides a working conceptual designing structure in which to implement and gain the benefits of these new concepts. In the included experiments, the method was used on several mathematical examples to demonstrate feasibility, which showed favorable results as compared to existing known methods. Furthermore, it was tested on a real-world satellite conceptual designing problem to illustrate the applicability and benefits to industry. Risk management insights were demonstrated for the robustness-related issues of manufacturing errors, operational degradation, parts availability, and impacts based on selections of particular types of components.

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

NASA Astrophysics Data System (ADS)

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

2016-12-01

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

Predicting First Graders' Development of Calculation versus Word-Problem Performance: The Role of Dynamic Assessment.

PubMed

Seethaler, Pamela M; Fuchs, Lynn S; Fuchs, Douglas; Compton, Donald L

2012-02-01

The purpose of this study was to assess the value of dynamic assessment (DA; degree of scaffolding required to learn unfamiliar mathematics content) for predicting 1(st)-grade calculations (CA) and word problems (WP) development, while controlling for the role of traditional assessments. Among 184 1(st) graders, predictors (DA, Quantity Discrimination, Test of Mathematics Ability, language, and reasoning) were assessed near the start of 1(st) grade. CA and WP were assessed near the end of 1(st) grade. Planned regression and commonality analyses indicated that for forecasting CA development, Quantity Discrimination, which accounted for 8.84% of explained variance, was the single most powerful predictor, followed by Test of Mathematics Ability and DA; language and reasoning were not uniquely predictive. By contrast, for predicting WP development, DA was the single most powerful predictor, which accounted for 12.01% of explained variance, with Test of Mathematics Ability, Quantity Discrimination, and language also uniquely predictive. Results suggest that different constellations of cognitive resources are required for CA versus WP development and that DA may be useful in predicting 1(st)-grade mathematics development, especially WP.

Predicting First Graders’ Development of Calculation versus Word-Problem Performance: The Role of Dynamic Assessment

PubMed Central

Seethaler, Pamela M.; Fuchs, Lynn S.; Fuchs, Douglas; Compton, Donald L.

2012-01-01

The purpose of this study was to assess the value of dynamic assessment (DA; degree of scaffolding required to learn unfamiliar mathematics content) for predicting 1st-grade calculations (CA) and word problems (WP) development, while controlling for the role of traditional assessments. Among 184 1st graders, predictors (DA, Quantity Discrimination, Test of Mathematics Ability, language, and reasoning) were assessed near the start of 1st grade. CA and WP were assessed near the end of 1st grade. Planned regression and commonality analyses indicated that for forecasting CA development, Quantity Discrimination, which accounted for 8.84% of explained variance, was the single most powerful predictor, followed by Test of Mathematics Ability and DA; language and reasoning were not uniquely predictive. By contrast, for predicting WP development, DA was the single most powerful predictor, which accounted for 12.01% of explained variance, with Test of Mathematics Ability, Quantity Discrimination, and language also uniquely predictive. Results suggest that different constellations of cognitive resources are required for CA versus WP development and that DA may be useful in predicting 1st-grade mathematics development, especially WP. PMID:22347725

Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties.

PubMed

Song, Qiankun; Yu, Qinqin; Zhao, Zhenjiang; Liu, Yurong; Alsaadi, Fuad E

2018-07-01

In this paper, the boundedness and robust stability for a class of delayed complex-valued neural networks with interval parameter uncertainties are investigated. By using Homomorphic mapping theorem, Lyapunov method and inequality techniques, sufficient condition to guarantee the boundedness of networks and the existence, uniqueness and global robust stability of equilibrium point is derived for the considered uncertain neural networks. The obtained robust stability criterion is expressed in complex-valued LMI, which can be calculated numerically using YALMIP with solver of SDPT3 in MATLAB. An example with simulations is supplied to show the applicability and advantages of the acquired result. Copyright © 2018 Elsevier Ltd. All rights reserved.

Psychosocial predictors of the onset of anxiety disorders in women: Results from a prospective 3-year longitudinal study

PubMed Central

Calkins, Amanda W.; Otto, Michael W.; Cohen, Lee S.; Soares, Claudio N.; Vitonis, Alison F.; Hearon, Bridget A.; Harlow, Bernard L.

2009-01-01

In a prospective, longitudinal, population-based study of 643 women participating in the Harvard Study of Moods and Cycles we examined whether psychosocial variables predicted a new or recurrent onset of an anxiety disorder. Presence of anxiety disorders was assessed every six months over three years via structured clinical interviews. Among individuals who had a new episode of anxiety, we confirmed previous findings that history of anxiety, increased anxiety sensitivity (the fear of anxiety related sensations), and increased neuroticism were significant predictors. We also found trend level support for assertiveness as a predictor of anxiety onset. However, of these variables, only history of anxiety and anxiety sensitivity provided unique prediction. We did not find evidence for negative life events as a predictor of onset of anxiety either alone or in interaction with other variables in a diathesis-stress model. These findings from a prospective longitudinal study are discussed in relation to the potential role of such predictors in primary or relapse prevention efforts. PMID:19699609

Enhancement of partial robust M-regression (PRM) performance using Bisquare weight function

NASA Astrophysics Data System (ADS)

Mohamad, Mazni; Ramli, Norazan Mohamed; Ghani@Mamat, Nor Azura Md; Ahmad, Sanizah

2014-09-01

Partial Least Squares (PLS) regression is a popular regression technique for handling multicollinearity in low and high dimensional data which fits a linear relationship between sets of explanatory and response variables. Several robust PLS methods are proposed to accommodate the classical PLS algorithms which are easily affected with the presence of outliers. The recent one was called partial robust M-regression (PRM). Unfortunately, the use of monotonous weighting function in the PRM algorithm fails to assign appropriate and proper weights to large outliers according to their severity. Thus, in this paper, a modified partial robust M-regression is introduced to enhance the performance of the original PRM. A re-descending weight function, known as Bisquare weight function is recommended to replace the fair function in the PRM. A simulation study is done to assess the performance of the modified PRM and its efficiency is also tested in both contaminated and uncontaminated simulated data under various percentages of outliers, sample sizes and number of predictors.

Factors related to burnout among Chinese female hospital nurses: cross-sectional survey in Liaoning Province of China.

PubMed

Wu, Hui; Liu, Li; Sun, Wei; Zhao, Xue; Wang, Jiana; Wang, Lie

2014-07-01

To explore the factors associated with burnout among female hospital nurses in China. Burnout has been a major concern in the field of occupational health, and yet there has been little research exploring the factors related to burnout among Chinese nurses. Exploring the factors associated with burnout is important in improving nurses' health and the quality of health care services in China. The study population consisted of 1845 female hospital nurses in the Liaoning Province of China. Burnout was measured using the Chinese version of the Maslach Burnout Inventory-General Survey; occupational stress was measured using the Chinese versions of the Job Content Questionnaire and Effort-Reward Imbalance Questionnaire. A general linear regression model was applied to analyse the factors associated with burnout. Mean scores (±SD) were 11.74 (7.14) for emotional exhaustion, 7.12 (5.67) for cynicism and 23.34 (9.60) for self-efficacy. Strong extrinsic effort was the most powerful predictor of emotional exhaustion and cynicism; strong psychological job demands were the most robust predictor of low self-efficacy. The findings suggest that occupational stress was strongly related to burnout among female hospital nurses in China. Occupational stress was identified as the most robust predictor of burnout among Chinese female hospital nurses. Reducing burnout among nurses working in China may require health education, health promotion and occupational training programmes aimed at improving work situations and reducing occupational stress. © 2012 John Wiley & Sons Ltd.

An Examination of the Developmental Propensity Model of Conduct Problems

PubMed Central

Rhee, Soo Hyun; Friedman, Naomi P.; Corley, Robin P.; Hewitt, John K.; Hink, Laura K.; Johnson, Daniel P.; Watts, Ashley K. Smith; Young, Susan E.; Robinson, JoAnn; Waldman, Irwin D.; Zahn-Waxler, Carolyn

2015-01-01

The present study tested specific hypotheses advanced by the developmental propensity model of the etiology of conduct problems in the Colorado Longitudinal Twin Study, a prospective, longitudinal, genetically informative sample. High negative emotionality, low behavioral inhibition, low concern and high disregard for others, and low cognitive ability assessed during toddlerhood (age 14 to 36 months) were examined as predictors of conduct problems in later childhood and adolescence (age 4 to 17 years). Each hypothesized antisocial propensity dimension predicted conduct problems, but some predictions may be context specific or due to method covariance. The most robust predictors were observed disregard for others (i.e., responding to others’ distress with active, negative responses such as anger and hostility), general cognitive ability, and language ability, which were associated with conduct problems reported by parents, teachers, and adolescents, and change in observed negative emotionality (i.e., frustration tolerance), which was associated with conduct problems reported by teachers and adolescents. Furthermore, associations between the most robust early predictors and later conduct problems were influenced by the shared environment rather than genes. We conclude that shared environmental influences that promote disregard for others and detract from cognitive and language development during toddlerhood also predispose individuals to conduct problems in later childhood and adolescence. The identification of those shared environmental influences common to early antisocial propensity and later conduct problems is an important future direction, and additional developmental behavior genetic studies examining the interaction between children’s characteristics and socializing influences on conduct problems are needed. PMID:26653135

Body Dysmorphic, Obsessive-Compulsive, and Social Anxiety Disorder Beliefs as Predictors of In Vivo Stressor Responding.

PubMed

Parsons, E Marie; Straub, Kelsey T; Smith, April R; Clerkin, Elise M

2017-06-01

This study tested the potential transdiagnostic nature of body dysmorphic disorder (BDD), obsessive-compulsive disorder (OCD), and social anxiety disorder (SAD) beliefs, in addition to testing the specificity of those beliefs, in predicting how individuals responded to symptom-specific stressors. Participants included 127 adults (75% women) with a broad range of symptom severity. Path analysis was used to evaluate whether specific maladaptive beliefs predicted distress in response to symptom-relevant stressors over and above other beliefs and baseline distress. SAD beliefs emerged as a significant predictor of distress in response to a mirror gazing (BDD-relevant), a thought (OCD-relevant), and a public speaking (SAD-relevant) task, controlling for other disorder beliefs and baseline distress. BDD beliefs were also a robust predictor of BDD stressor responding. Results suggest that social anxiety-relevant beliefs may function as a transdiagnostic risk factor that predicts in vivo symptoms across a range of problem areas.

Cognitive appraisals of alcohol use in early adolescence: Psychosocial predictors and reciprocal associations with alcohol use

PubMed Central

Colder, Craig R.; Read, Jennifer P.; Wieczorek, William F.; Eiden, Rina D.; Lengua, Liliana J.; Hawk, Larry W.; Trucco, Elisa M.; Lopez-Vergara, Hector I.

2016-01-01

Early adolescence is a dynamic period for the development of alcohol appraisals (expected outcomes of drinking and subjective evaluations of expected outcomes), yet the literature provides a limited understanding of psychosocial factors that shape these appraisals during this period. This study took a comprehensive view of alcohol appraisals and considered positive and negative alcohol outcome expectancies, as well as subjective evaluations of expected outcomes. Developmental-ecological theory guided examination of individual, peer, family, and neighborhood predictors of cognitive appraisals of alcohol and use. A community sample of 378 adolescents (mean age 11.5 years at Wave 1, 52% female) was assessed annually for 4 years. Longitudinal path analysis suggested that the most robust predictors of alcohol appraisals were peer norms. Furthermore, perceived likelihood of positive and negative alcohol outcomes prospectively predicted increases in drinking. There was limited support for appraisals operating as mediators of psychosocial risk and protective factors. PMID:28479653

Longitudinal predictors of school-age academic achievement: unique contributions of toddler-age aggression, oppositionality, inattention, and hyperactivity.

PubMed

Brennan, Lauretta M; Shaw, Daniel S; Dishion, Thomas J; Wilson, Melvin

2012-11-01

This project examined the unique predictive validity of parent ratings of toddler-age aggression, oppositionality, inattention, and hyperactivity-impulsivity to academic achievement at school-age in a sample of 566 high-risk children and families. The study also investigated potential indirect effects of the Family Check-Up on school-age academic achievement through changes in child behavior problems. The results demonstrated that toddler-age aggression was most consistently associated with school-age academic achievement, albeit modestly. Moreover, findings showed that the intervention predicted greater decreases in aggression from ages 2-3 to 4-5 compared to controls. The results suggest that in high-risk toddler-aged children, aggression may be a more consistent predictor of school-age academic achievement than other externalizing dimensions, which has implications for early identification and efforts to promote children's adaptation.

Positive and negative affect, life satisfaction, and coping with stress by attachment styles in Turkish students.

PubMed

Deniz, M Engin; Işik, Erkan

2010-10-01

The purpose was to investigate positive and negative affect, life satisfaction, and coping with stress in relation to attachment styles. Undergraduate students (N=421) completed the Relationship Scales Questionnaire, the Positive and Negative Affect Scale, the Satisfaction With Life Scale, and the Coping with Stress Scale. Results indicated that secure attachment style was the unique predictor of positive affect while fearful and preoccupied attachment styles significantly predicted negative affect. Regarding life satisfaction, a positive correlation with secure attachment style and a negative correlation with fearful and preoccupied styles were seen. However, the unique predictor of life satisfaction was preoccupied attachment style. In terms of coping with stress, there was no significant association between attachment variables and avoidance coping style, but significant links were observed between problem-focused coping and dismissing, and fearful and preoccupied attachment styles.

Brief report: High and low level initiations of joint attention, and response to joint attention: differential relationships with language and imitation.

PubMed

Pickard, Katherine E; Ingersoll, Brooke R

2015-01-01

Frequency of high-level (showing/pointing) and low-level (coordinated gaze shifts) behaviors on the Early Social Communication Scales are often used as a measure of joint attention initiations (IJA). This study examined the degree to which these skills and response to joint attention (RJA; e.g. gaze following) were differentially related to measures of language and imitation in 53 children with autism spectrum disorder between the ages of 22 and 93 months. High-level and low-level IJA were not associated with each other, and only high-level IJA was associated with RJA, and language and imitation measures. High-level IJA and RJA were unique predictors of imitation, while RJA was a unique predictor of language. Findings indicate that IJA involves distinct skills, with high-level behaviors more closely related to social-communication skills.

Evaluating a stage model in predicting monolingual spanish-speaking Latinas' cervical cancer screening practices: the role of psychosocial and cultural predictors.

PubMed

Arredondo, Elva Maria; Pollak, Kathryn; Costanzo, Philip R

2008-12-01

The goals of this study are to evaluate (a) the effectiveness of a stage model in predicting Latinas' self-report of obtaining a Pap test and (b) the unique role of psychosocial/cultural factors in predicting progress toward behavior change. One-on-one structured interviews with monolingual Spanish-speaking Latinas (n=190) were conducted. Most participants (85%) intended to obtain a Pap smear within 1 year; therefore, staging women based on intention was not possible. Moreover, results from the polychotomous hierarchical logistic regression suggest that psychosocial and cultural factors were independent predictors of Pap test history. A stage model may not be appropriate for predicting Pap test screening among Latinas. Results suggest that unique cultural, psychosocial, and demographic factors may inhibit cervical cancer screening practices. Clinicians may need to tailor messages on these cultural and psychosocial factors to increase Pap testing among Latinas.

Effortful Control in "Hot" and "Cool" Tasks Differentially Predicts Children's Behavior Problems and Academic Performance

ERIC Educational Resources Information Center

Kim, Sanghag; Nordling, Jamie Koenig; Yoon, Jeung Eun; Boldt, Lea J.; Kochanska, Grazyna

2013-01-01

Effortful control (EC), the capacity to deliberately suppress a dominant response and perform a subdominant response, rapidly developing in toddler and preschool age, has been shown to be a robust predictor of children's adjustment. Not settled, however, is whether a view of EC as a heterogeneous rather than unidimensional construct may offer…

A spatiotemporal model of ecological and sociological predictors of West Nile virus in Suffolk County, NY mosquitoes

EPA Science Inventory

Background/Question/Methods Suffolk County, New York is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City. The county has a robust system of light and gravid traps used for mosquito collect...

From Passion to Emotion: Emotional Quotient as Predictor of Work Attitude Behaviour among Faculty Members

ERIC Educational Resources Information Center

Relojo, Dennis; Pilao, Sonia Janice; Dela Rosa, Rona

2015-01-01

Positive thinking, in conjunction with a robust attitude, can affect one's well-being and coping strategies under stressful events. This study sought to identify the role of Emotional Quotient (EQ) to Work Attitude Behaviour (WAB) of selected faculty members from three higher educational institutions in the Philippines. Using a non-experimental…

Promoting Prosocial Behavior and Self-Regulatory Skills in Preschool Children through a Mindfulness-Based Kindness Curriculum

ERIC Educational Resources Information Center

Flook, Lisa; Goldberg, Simon B.; Pinger, Laura; Davidson, Richard J.

2015-01-01

Self-regulatory abilities are robust predictors of important outcomes across the life span, yet they are rarely taught explicitly in school. Using a randomized controlled design, the present study investigated the effects of a 12-week mindfulness-based Kindness Curriculum (KC) delivered in a public school setting on executive function,…

Testing Predictors of Instructional Practice in Elementary Science Education: The Significant Role of Accountability

ERIC Educational Resources Information Center

Hayes, Kathryn N.; Trexler, Cary J.

2016-01-01

Many resources have been committed to research on science teaching pedagogies, resulting in a robust understanding of best instructional practices. Yet, exposure to excellent science instruction in elementary school is haphazard at best and often inequitable. Although the research community has attended to the role of teacher traits, such as…

Childhood peer reputation as a predictor of competence and symptoms 10 years later.

PubMed

Gest, Scott D; Sesma, Arturo; Masten, Ann S; Tellegen, Auke

2006-08-01

This study examined the differential developmental significance of multiple domains of peer reputation in childhood for current and future competence and symptoms. Participants were 205 children from a normative school cohort who completed assessments in grades 3-6 and then again 10 years later. Through re-analysis of original data from the Revised Class Play (RCP; N=612), new narrow-band subscales were examined as distinct correlates and predictors of competence in age-relevant developmental tasks and psychological well being as indexed by internalizing symptoms. Findings support the differentiation of peer exclusion, withdrawal, and sadness within the broad sensitive-isolated domain of reputation, as well as the distinctive meaning of reputations for Popularity-Leadership and Prosocial Behavior within the broad Sociable-Leader domain. When the Sensitive-Isolated predictors were considered, academic and job competence at the 10-year follow-up were predicted uniquely and negatively by peer exclusion, problems in the social and romantic domains were predicted distinctively by withdrawal from peers, and internalizing symptoms were uniquely predicted by childhood reputation as Sad-Sensitive. When the Sociable-Leader predictors were considered, academic and (for ethnic minority youth) job success was predicted by a Prosocial reputation, social success was forecasted by Popularity-Leadership, and romantic competence was predicted positively by Popularity-Leadership and negatively by Prosocial reputation. Negative academic and job outcomes were also predicted by a childhood reputation as Aggressive-Disruptive. Results are discussed in relation to conceptualizing and measuring peer social competence and its relation to later adaptation.

Ecology of Vibrio parahaemolyticus and Vibrio vulnificus in the Coastal and Estuarine Waters of Louisiana, Maryland, Mississippi, and Washington (United States)

PubMed Central

Bowers, John C.; Griffitt, Kimberly J.; Molina, Vanessa; Clostio, Rachel W.; Pei, Shaofeng; Laws, Edward; Paranjpye, Rohinee N.; Strom, Mark S.; Chen, Arlene; Hasan, Nur A.; Huq, Anwar; Noriea, Nicholas F.; Grimes, D. Jay; Colwell, Rita R.

2012-01-01

Vibrio parahaemolyticus and Vibrio vulnificus, which are native to estuaries globally, are agents of seafood-borne or wound infections, both potentially fatal. Like all vibrios autochthonous to coastal regions, their abundance varies with changes in environmental parameters. Sea surface temperature (SST), sea surface height (SSH), and chlorophyll have been shown to be predictors of zooplankton and thus factors linked to vibrio populations. The contribution of salinity, conductivity, turbidity, and dissolved organic carbon to the incidence and distribution of Vibrio spp. has also been reported. Here, a multicoastal, 21-month study was conducted to determine relationships between environmental parameters and V. parahaemolyticus and V. vulnificus populations in water, oysters, and sediment in three coastal areas of the United States. Because ecologically unique sites were included in the study, it was possible to analyze individual parameters over wide ranges. Molecular methods were used to detect genes for thermolabile hemolysin (tlh), thermostable direct hemolysin (tdh), and tdh-related hemolysin (trh) as indicators of V. parahaemolyticus and the hemolysin gene vvhA for V. vulnificus. SST and suspended particulate matter were found to be strong predictors of total and potentially pathogenic V. parahaemolyticus and V. vulnificus. Other predictors included chlorophyll a, salinity, and dissolved organic carbon. For the ecologically unique sites included in the study, SST was confirmed as an effective predictor of annual variation in vibrio abundance, with other parameters explaining a portion of the variation not attributable to SST. PMID:22865080

Ethnic Differences in Family Factors Related to Early Drug Initiation*

PubMed Central

CATALANO, RICHARD F.; MORRISON, DIANE M.; WELLS, ELIZABETH A.; GILLMORE, MARY R.; IRITANI, BONITA; HAWKINS, J. DAVID

2007-01-01

The literature on family predictors of substance use for the general population is reviewed and compared to findings for three specific ethnic groups: black, white and Asian-Americans. Rates of substance use initiation are examined in a sample of 919 urban 5th-grade students. Ethnic differences on measures of family predictors are examined and significant ethnic differences are found on several of these factors. Finally, separate regressions for black, white and Asian American youths of family factors on the variety of substances initiated examine ethnic similarities and differences in predictors. The results demonstrate significant differences by ethnicity in family management practices, involvement in family activity, sibling deviance, parental disapproval of children's drinking and family structure. The regression equations identified unique as well as common predictors of the variety of substances initiated by the end of 5th grade. Implications of the results are discussed. PMID:1285743

Childhood Predictors of Teen Dating Violence Victimization

PubMed Central

Maas, Carl D.; Fleming, Charles B.; Herrenkohl, Todd I.; Catalano, Richard F.

2009-01-01

Most research on predictors of teen dating violence (TDV) has used cross-sectional data, which weakens predictive modeling and hypothesis testing analyses. This study uses prospective and retrospective longitudinal data on a community sample to examine previously identified predictors of TDV victimization and pathways from childhood risk and protection to TDV victimization. Data are from 941 participants in the Raising Healthy Children project. Bivariate analyses found associations in the expected direction between potential predictors and TDV victimization. For girls, a multivariate path model indicated that higher levels of bonding to parents and social skills protected against TDV victimizations, partly by reducing early adolescent alcohol use. While externalizing and internalizing behaviors in early adolescence were predicted by childhood risk and protective factors for girls, neither uniquely predicted TDV victimization. For boys, there was an indirect path from childhood bonding to parents to TDV victimization through early adolescent externalizing behavior. PMID:20514813

Nonsuicidal self-injury in community adolescents: A systematic review of prospective predictors, mediators and moderators.

PubMed

Valencia-Agudo, Fatima; Burcher, Georgina Corbet; Ezpeleta, Lourdes; Kramer, Tami

2018-06-01

Nonsuicidal self-injury (NSSI) usually starts during adolescence and is associated with an array of psychological and psychiatric symptoms and future suicide attempts. The aim of this study is to determine prospective predictors, mediators and moderators of NSSI in adolescent community samples in order to target prevention and treatment strategies. Two team members searched online databases independently. Thirty-nine studies were included in the review. Several variables were seen to prospectively predict NSSI: female gender, family-related variables, peer victimisation, depression, previous NSSI and self-concept. Few studies analysed mediators and moderators. Low self-concept was highlighted as a relevant moderator in the relationship between intra/interpersonal variables and NSSI. Implications of these findings are discussed. The considerable heterogeneity between studies posed a limitation to determine robust predictors of NSSI. Further prospective studies using standardised measures of predictors and outcomes are needed to ascertain the most at risk individuals and develop prevention strategies. Copyright © 2018 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Hypermasculinity, intimate partner violence, sexual aggression, social support, and child maltreatment risk in urban, heterosexual fathers taking parenting classes.

PubMed

Vasquez Guerrero, Desi Alonzo

2009-01-01

This study examines the relationships between hypermasculinity, sexual aggression, intimate partner violence, social support, and child maltreatment risk among heterosexual fathers completing parenting classes. Hypermasculinity scores were found to be significant predictors of study participants' reported verbal, physical, and sexual aggression toward their intimate partners. Only lack of social support, operationalized as the reported frequency of participants' conversations with friends, relatives, or neighbors about their problems, was found to be a significant predictor of child maltreatment risk. Alcohol frequency, education, and monthly income were not found to be unique, significant predictors of any dependent variables. Implications for clinical practice and research as well as limitations to the current study are discussed.

Predictors of Sexual Assault-Specific Prosocial Bystander Behavior and Intentions: A Prospective Analysis.

PubMed

Austin, Megan J Murphy; Dardis, Christina M; Wilson, Milo S; Gidycz, Christine A; Berkowitz, Alan D

2016-01-01

This study prospectively examined the impact of men's own attitudes and behaviors and perceptions of peer attitudes and behaviors on intentions and engagement in prosocial bystander behavior. Undergraduate men completed surveys at baseline and 4- and 7-month follow-ups. Men's perceptions of peer attitudes and behaviors and their own attitudes and behaviors were both important predictors of intentions. However, men's own attitudes and behaviors appeared to be more robustly predictive of behavior. Intentions to engage in bystander behavior were not predictive of behavior. Results support two specific areas of bystander intervention programming addressing misperceptions of social norms and personal attitudes and behaviors. © The Author(s) 2015.

Solving NP-Hard Problems with Physarum-Based Ant Colony System.

PubMed

Liu, Yuxin; Gao, Chao; Zhang, Zili; Lu, Yuxiao; Chen, Shi; Liang, Mingxin; Tao, Li

2017-01-01

NP-hard problems exist in many real world applications. Ant colony optimization (ACO) algorithms can provide approximate solutions for those NP-hard problems, but the performance of ACO algorithms is significantly reduced due to premature convergence and weak robustness, etc. With these observations in mind, this paper proposes a Physarum-based pheromone matrix optimization strategy in ant colony system (ACS) for solving NP-hard problems such as traveling salesman problem (TSP) and 0/1 knapsack problem (0/1 KP). In the Physarum-inspired mathematical model, one of the unique characteristics is that critical tubes can be reserved in the process of network evolution. The optimized updating strategy employs the unique feature and accelerates the positive feedback process in ACS, which contributes to the quick convergence of the optimal solution. Some experiments were conducted using both benchmark and real datasets. The experimental results show that the optimized ACS outperforms other meta-heuristic algorithms in accuracy and robustness for solving TSPs. Meanwhile, the convergence rate and robustness for solving 0/1 KPs are better than those of classical ACS.

Refining the tobacco dependence phenotype using the Wisconsin Inventory of Smoking Dependence Motives (WISDM)

PubMed Central

Piper, Megan E.; Bolt, Daniel M.; Kim, Su-Young; Japuntich, Sandra J.; Smith, Stevens S.; Niederdeppe, Jeff; Cannon, Dale S.; Baker, Timothy B.

2008-01-01

The construct of tobacco dependence is important from both scientific and public health perspectives, but it is poorly understood. The current research integrates person-centered analyses (e.g., latent profile analysis) and variable-centered analyses (e.g., exploratory factor analysis) to understand better the latent structure of dependence and to guide distillation of the phenotype. Using data from four samples of smokers (including treatment and non-treatment samples), latent profiles were derived using the Wisconsin Inventory of Smoking Dependence Motives (WISDM) subscale scores. Across all four samples, results revealed a unique latent profile that had relative elevations on four dependence motive subscales (Automaticity, Craving, Loss of Control, and Tolerance). Variable-centered analyses supported the uniqueness of these four subscales both as measures of a common factor distinct from that underlying the other nine subscales, and as the strongest predictors of relapse, withdrawal and other dependence criteria. Conversely, the remaining nine motives carried little unique predictive validity regarding dependence. Applications of a factor mixture model further support the presence of a unique class of smokers in relation to a common factor underlying the four subscales. The results illustrate how person-centered analyses may be useful as a supplement to variable-centered analyses for uncovering variables that are necessary and/or sufficient predictors of disorder criteria, as they may uncover small segments of a population in which the variables are uniquely distributed. The results also suggest that severe dependence is associated with a pattern of smoking that is heavy, pervasive, automatic and relatively unresponsive to instrumental contingencies. PMID:19025223

An Acceptance-Based Psychoeducation Intervention to Reduce Expressed Emotion in Relatives of Bipolar Patients

ERIC Educational Resources Information Center

Eisner, Lori R.; Johnson, Sheri L.

2008-01-01

Expressed emotion (EE) is a robust predictor of outcome in bipolar disorder. Despite decades of research, interventions to reduce EE levels have had only modest effects. This study used an expanded model of EE to develop an intervention. Research has demonstrated a strong link between attributions and EE in families of patients with psychiatric…

Type of High-School Credentials and Older Age ADL and IADL Limitations: Is the GED Credential Equivalent to a Diploma?

ERIC Educational Resources Information Center

Liu, Sze Yan; Chavan, Niraj R.; Glymour, M. Maria

2013-01-01

Purpose: Educational attainment is a robust predictor of disability in elderly Americans: older adults with high-school (HS) diplomas have substantially lower disability than individuals who did not complete HS. General Educational Development (GED) diplomas now comprise almost 20% of new HS credentials issued annually in the United States but it…

Income Inequality, Race, and Child Well-Being: An Aggregate Analysis in the 50 United States

ERIC Educational Resources Information Center

McLeod, Jane D.; Nonnemaker, James M.; Call, Kathleen Thiede

2004-01-01

Interest in income inequality as a predictor of health has exploded since the mid-1990s. Recent analyses suggest, however, that the effect of income inequality on population health is not robust to a control for the racial composition of the population. That observation raises two interpretational questions. First, does income inequality have an…

The Power of the Pygmalion Effect: Teachers' Expectations Strongly Predict College Completion

ERIC Educational Resources Information Center

Boser, Ulrich; Wilhelm, Megan; Hanna, Robert

2014-01-01

People do better when more is expected of them. In education circles, this is called the Pygmalion Effect. It has been demonstrated in study after study, and the results can sometimes be quite significant. In one research project, for instance, teacher expectations of a pre-schooler's ability was a robust predictor of the child's high school GPA.…

Alcohol Outlet Density, Drinking Contexts and Intimate Partner Violence: A Review of Environmental Risk Factors

ERIC Educational Resources Information Center

Cunradi, Carol B.; Mair, Christina; Todd, Michael

2014-01-01

Alcohol use is a robust predictor of intimate partner violence (IPV). A critical barrier to progress in preventing alcohol-related IPV is that little is known about how an individual's specific drinking contexts (where, how often, and with whom one drinks) are related to IPV, or how these contexts are affected by environmental characteristics,…

Numerical Order Processing in Children: From Reversing the Distance-Effect to Predicting Arithmetic

ERIC Educational Resources Information Center

Lyons, Ian M.; Ansari, Daniel

2015-01-01

Recent work has demonstrated that how we process the relative order--ordinality--of numbers may be key to understanding how we represent numbers symbolically, and has proven to be a robust predictor of more sophisticated math skills in both children and adults. However, it remains unclear whether numerical ordinality is primarily a by-product of…

Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures

PubMed Central

Zhang, Tinghe; Mao, Zijing; Xu, Xiaojing; Zhang, Lin; Pack, Daniel J.; Dong, Bing; Huang, Yufei

2018-01-01

Varying indoor environmental conditions is known to affect office worker’s performance; wherein past research studies have reported the effects of unfavorable indoor temperature and air quality causing sick building syndrome (SBS) among office workers. Thus, investigating factors that can predict performance in changing indoor environments have become a highly important research topic bearing significant impact in our society. While past research studies have attempted to determine predictors for performance, they do not provide satisfactory prediction ability. Therefore, in this preliminary study, we attempt to predict performance during office-work tasks triggered by different indoor room temperatures (22.2 °C and 30 °C) from human brain signals recorded using electroencephalography (EEG). Seven participants were recruited, from whom EEG, skin temperature, heart rate and thermal survey questionnaires were collected. Regression analyses were carried out to investigate the effectiveness of using EEG power spectral densities (PSD) as predictors of performance. Our results indicate EEG PSDs as predictors provide the highest R2 (> 0.70), that is 17 times higher than using other physiological signals as predictors and is more robust. Finally, the paper provides insight on the selected predictors based on brain activity patterns for low- and high-performance levels under different indoor-temperatures. PMID:29690601

Predicting the evolution of sex on complex fitness landscapes.

PubMed

Misevic, Dusan; Kouyos, Roger D; Bonhoeffer, Sebastian

2009-09-01

Most population genetic theories on the evolution of sex or recombination are based on fairly restrictive assumptions about the nature of the underlying fitness landscapes. Here we use computer simulations to study the evolution of sex on fitness landscapes with different degrees of complexity and epistasis. We evaluate predictors of the evolution of sex, which are derived from the conditions established in the population genetic literature for the evolution of sex on simpler fitness landscapes. These predictors are based on quantities such as the variance of Hamming distance, mean fitness, additive genetic variance, and epistasis. We show that for complex fitness landscapes all the predictors generally perform poorly. Interestingly, while the simplest predictor, Delta Var(HD), also suffers from a lack of accuracy, it turns out to be the most robust across different types of fitness landscapes. Delta Var(HD) is based on the change in Hamming distance variance induced by recombination and thus does not require individual fitness measurements. The presence of loci that are not under selection can, however, severely diminish predictor accuracy. Our study thus highlights the difficulty of establishing reliable criteria for the evolution of sex on complex fitness landscapes and illustrates the challenge for both theoretical and experimental research on the origin and maintenance of sexual reproduction.

Predicting the Evolution of Sex on Complex Fitness Landscapes

PubMed Central

Misevic, Dusan; Kouyos, Roger D.; Bonhoeffer, Sebastian

2009-01-01

Most population genetic theories on the evolution of sex or recombination are based on fairly restrictive assumptions about the nature of the underlying fitness landscapes. Here we use computer simulations to study the evolution of sex on fitness landscapes with different degrees of complexity and epistasis. We evaluate predictors of the evolution of sex, which are derived from the conditions established in the population genetic literature for the evolution of sex on simpler fitness landscapes. These predictors are based on quantities such as the variance of Hamming distance, mean fitness, additive genetic variance, and epistasis. We show that for complex fitness landscapes all the predictors generally perform poorly. Interestingly, while the simplest predictor, ΔVarHD, also suffers from a lack of accuracy, it turns out to be the most robust across different types of fitness landscapes. ΔVarHD is based on the change in Hamming distance variance induced by recombination and thus does not require individual fitness measurements. The presence of loci that are not under selection can, however, severely diminish predictor accuracy. Our study thus highlights the difficulty of establishing reliable criteria for the evolution of sex on complex fitness landscapes and illustrates the challenge for both theoretical and experimental research on the origin and maintenance of sexual reproduction. PMID:19763171

Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures.

PubMed

Nayak, Tapsya; Zhang, Tinghe; Mao, Zijing; Xu, Xiaojing; Zhang, Lin; Pack, Daniel J; Dong, Bing; Huang, Yufei

2018-04-23

Varying indoor environmental conditions is known to affect office worker’s performance; wherein past research studies have reported the effects of unfavorable indoor temperature and air quality causing sick building syndrome (SBS) among office workers. Thus, investigating factors that can predict performance in changing indoor environments have become a highly important research topic bearing significant impact in our society. While past research studies have attempted to determine predictors for performance, they do not provide satisfactory prediction ability. Therefore, in this preliminary study, we attempt to predict performance during office-work tasks triggered by different indoor room temperatures (22.2 °C and 30 °C) from human brain signals recorded using electroencephalography (EEG). Seven participants were recruited, from whom EEG, skin temperature, heart rate and thermal survey questionnaires were collected. Regression analyses were carried out to investigate the effectiveness of using EEG power spectral densities (PSD) as predictors of performance. Our results indicate EEG PSDs as predictors provide the highest R ² (> 0.70), that is 17 times higher than using other physiological signals as predictors and is more robust. Finally, the paper provides insight on the selected predictors based on brain activity patterns for low- and high-performance levels under different indoor-temperatures.

Psychosocial predictors of human papillomavirus vaccination intentions for young women 18 to 26: religiosity, morality, promiscuity, and cancer worry.

PubMed

Krakow, Melinda M; Jensen, Jakob D; Carcioppolo, Nick; Weaver, Jeremy; Liu, Miao; Guntzviller, Lisa M

2015-01-01

To determine whether five psychosocial variables, namely, religiosity, morality, perceived promiscuity, cancer worry frequency, and cancer worry severity, predict young women's intentions to receive the human papillomavirus (HPV) vaccination. Female undergraduate students (n=408) completed an online survey. Questions pertaining to hypothesized predictors were analyzed through bivariate correlations and hierarchical regression equations. Regressions examined whether the five psychosocial variables of interest predicted intentions to vaccinate above and beyond controls. Proposed interactions among predictor variables were also tested. Study findings supported cancer worry as a direct predictor of HPV vaccination intention, and religiosity and sexual experience as moderators of the relationship between concerns of promiscuity reputation and intentions to vaccinate. One dimension of cancer worry (severity) emerged as a particularly robust predictor for this population. This study provides support for several important, yet understudied, factors contributing to HPV vaccination intentions among college-aged women: cancer worry severity and religiosity. Future research should continue to assess the predictive contributions of these variables and evaluate how messages and campaigns to increase HPV vaccination uptake can utilize religious involvement and worry about cancer to promote more effectively HPV vaccination as a cancer prevention strategy. Copyright © 2015 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Does oral language underpin the development of later behavior problems? A longitudinal meta-analysis.

PubMed

Chow, Jason C; Ekholm, Erik; Coleman, Heather

2018-05-24

The purpose of this article is to estimate the overall weighted mean effect of the relation between early language skills and later behavior problems in school-aged children. A systematic literature search yielded 19,790 unduplicated reports, and a structured search strategy and identification procedure yielded 25 unique data sets, with 114 effect sizes for analysis. Eligible reports were then coded, and effect sizes were extracted and synthesized via robust variance estimation and random-effects meta-analytic techniques. The overall correlation between early language and later behavior problems was negative and small (r = -.14, 95% confidence interval [CI] [-.16, -.11]), and controlling for demographic variables did not reduce the magnitude of the inverse relationship between language skill and problem behavior (r = -.16). Moderator analyses identified receptive language, parent-reported behavior measures, gender, and age as significant predictors of the association between language and behavior. This article corroborates the consistent findings of previous meta-analytic and longitudinal studies and further identifies areas, particularly around measurement, for future research. Furthermore, prospective longitudinal evaluations of the relations between language deficits and behavior problems with different types of measures (teacher-/parent-report, direct assessment, classroom observation) is warranted. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Examining reciprocal influences among family climate, school attachment, and academic self-regulation: Implications for school success.

PubMed

Xia, Mengya; Fosco, Gregory M; Feinberg, Mark E

2016-06-01

Guided by family systems and ecological theories, this study examined the multicontextual implications of family, school, and individual domains for adolescents' school success. The first goal of this study was to examine reciprocal influences among family climate, school attachment, and academic self-regulation (ASR) during the middle school years. The second goal was to test the relative impact of each of these domains on adolescents' school adjustment and academic achievement after the transition to high school. We applied a cross-lag structural equation modeling approach to longitudinal data from 979 students in the 6th grade and their families, followed over 5 measurement occasions, from 6th through 9th grade. Controlling for family income, parent education, and adolescent gender, the results revealed reciprocal relationships between the family climate and school attachment over time; both of these factors were related to increases in ASR over time. In turn, ASR was a robust predictor of academic success, with unique associations with school adjustment and academic achievement. Family climate and school adjustment had modest to marginal associations with school adjustment, and no association with academic achievement. Applications of these findings for family school interventions are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

An examination of the developmental propensity model of conduct problems.

PubMed

Rhee, Soo Hyun; Friedman, Naomi P; Corley, Robin P; Hewitt, John K; Hink, Laura K; Johnson, Daniel P; Smith Watts, Ashley K; Young, Susan E; Robinson, JoAnn; Waldman, Irwin D; Zahn-Waxler, Carolyn

2016-05-01

The present study tested specific hypotheses advanced by the developmental propensity model of the etiology of conduct problems in the Colorado Longitudinal Twin Study, a prospective, longitudinal, genetically informative sample. High negative emotionality, low behavioral inhibition, low concern and high disregard for others, and low cognitive ability assessed during toddlerhood (age 14 to 36 months) were examined as predictors of conduct problems in later childhood and adolescence (age 4 to 17 years). Each hypothesized antisocial propensity dimension predicted conduct problems, but some predictions may be context specific or due to method covariance. The most robust predictors were observed disregard for others (i.e., responding to others' distress with active, negative responses such as anger and hostility), general cognitive ability, and language ability, which were associated with conduct problems reported by parents, teachers, and adolescents, and change in observed negative emotionality (i.e., frustration tolerance), which was associated with conduct problems reported by teachers and adolescents. Furthermore, associations between the most robust early predictors and later conduct problems were influenced by the shared environment rather than genes. We conclude that shared environmental influences that promote disregard for others and detract from cognitive and language development during toddlerhood also predispose individuals to conduct problems in later childhood and adolescence. The identification of those shared environmental influences common to early antisocial propensity and later conduct problems is an important future direction, and additional developmental behavior genetic studies examining the interaction between children's characteristics and socializing influences on conduct problems are needed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Robust decentralized power system controller design: Integrated approach

NASA Astrophysics Data System (ADS)

Veselý, Vojtech

2017-09-01

A unique approach to the design of gain scheduled controller (GSC) is presented. The proposed design procedure is based on the Bellman-Lyapunov equation, guaranteed cost and robust stability conditions using the parameter dependent quadratic stability approach. The obtained feasible design procedures for robust GSC design are in the form of BMI with guaranteed convex stability conditions. The obtained design results and their properties are illustrated in the simultaneously design of controllers for simple model (6-order) turbogenerator. The results of the obtained design procedure are a PI automatic voltage regulator (AVR) for synchronous generator, a PI governor controller and a power system stabilizer for excitation system.

Robust, Adaptive Functional Regression in Functional Mixed Model Framework.

PubMed

Zhu, Hongxiao; Brown, Philip J; Morris, Jeffrey S

2011-09-01

Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges. Various methods for functional data analysis have been developed, including functional response regression methods that involve regression of a functional response on univariate/multivariate predictors with nonparametrically represented functional coefficients. In existing methods, however, the functional regression can be sensitive to outlying curves and outlying regions of curves, so is not robust. In this paper, we introduce a new Bayesian method, robust functional mixed models (R-FMM), for performing robust functional regression within the general functional mixed model framework, which includes multiple continuous or categorical predictors and random effect functions accommodating potential between-function correlation induced by the experimental design. The underlying model involves a hierarchical scale mixture model for the fixed effects, random effect and residual error functions. These modeling assumptions across curves result in robust nonparametric estimators of the fixed and random effect functions which down-weight outlying curves and regions of curves, and produce statistics that can be used to flag global and local outliers. These assumptions also lead to distributions across wavelet coefficients that have outstanding sparsity and adaptive shrinkage properties, with great flexibility for the data to determine the sparsity and the heaviness of the tails. Together with the down-weighting of outliers, these within-curve properties lead to fixed and random effect function estimates that appear in our simulations to be remarkably adaptive in their ability to remove spurious features yet retain true features of the functions. We have developed general code to implement this fully Bayesian method that is automatic, requiring the user to only provide the functional data and design matrices. It is efficient enough to handle large data sets, and yields posterior samples of all model parameters that can be used to perform desired Bayesian estimation and inference. Although we present details for a specific implementation of the R-FMM using specific distributional choices in the hierarchical model, 1D functions, and wavelet transforms, the method can be applied more generally using other heavy-tailed distributions, higher dimensional functions (e.g. images), and using other invertible transformations as alternatives to wavelets.

Robust, Adaptive Functional Regression in Functional Mixed Model Framework

PubMed Central

Zhu, Hongxiao; Brown, Philip J.; Morris, Jeffrey S.

2012-01-01

Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges. Various methods for functional data analysis have been developed, including functional response regression methods that involve regression of a functional response on univariate/multivariate predictors with nonparametrically represented functional coefficients. In existing methods, however, the functional regression can be sensitive to outlying curves and outlying regions of curves, so is not robust. In this paper, we introduce a new Bayesian method, robust functional mixed models (R-FMM), for performing robust functional regression within the general functional mixed model framework, which includes multiple continuous or categorical predictors and random effect functions accommodating potential between-function correlation induced by the experimental design. The underlying model involves a hierarchical scale mixture model for the fixed effects, random effect and residual error functions. These modeling assumptions across curves result in robust nonparametric estimators of the fixed and random effect functions which down-weight outlying curves and regions of curves, and produce statistics that can be used to flag global and local outliers. These assumptions also lead to distributions across wavelet coefficients that have outstanding sparsity and adaptive shrinkage properties, with great flexibility for the data to determine the sparsity and the heaviness of the tails. Together with the down-weighting of outliers, these within-curve properties lead to fixed and random effect function estimates that appear in our simulations to be remarkably adaptive in their ability to remove spurious features yet retain true features of the functions. We have developed general code to implement this fully Bayesian method that is automatic, requiring the user to only provide the functional data and design matrices. It is efficient enough to handle large data sets, and yields posterior samples of all model parameters that can be used to perform desired Bayesian estimation and inference. Although we present details for a specific implementation of the R-FMM using specific distributional choices in the hierarchical model, 1D functions, and wavelet transforms, the method can be applied more generally using other heavy-tailed distributions, higher dimensional functions (e.g. images), and using other invertible transformations as alternatives to wavelets. PMID:22308015

Sensation seeking and executive deficits in relation to alcohol, tobacco, and marijuana use frequency among university students: Value of ecologically based measures.

PubMed

Meil, William M; LaPorte, David J; Mills, John A; Sesti, Ann; Collins, Sunshine M; Stiver, Alyssa G

2016-11-01

The development of substance use and addiction has been linked to impaired executive function which relies on systems that converge in the prefrontal cortex. This study examined several measures of executive function as predictors of college student alcohol, tobacco, and marijuana use frequency and abuse. College students (N=321) were administered the Delis-Kaplan Executive Function System (D-KEFS) test battery, the Sensation Seeking Scale V (SSSV), the Frontal Systems Behavioral Scale (FrSBe), the Perceived Stress Scale (PSS), the Michigan Alcohol Screening Test (MAST), the Fagerstrom Test of Nicotine Dependence (FTND). Alcohol use frequency was predicted by sensation seeking and FrSBe Disinhibition scores, but the latter only emerged as a unique predictor for binge drinking frequency. Sex and Disinhibition, Apathy and Executive Function FrSBe subscales predicted the frequency of tobacco use. FrSBe scores uniquely predicted tobacco use among daily users. Marijuana use frequency was predicted by sensation seeking, sex, perceived stress, and FrSBe Disinhibition scores, but only sensation seeking predicted daily use after controlling for other variables. FrSBe Disinhibition scores reached levels considered to be clinically significant for frequent binge drinkers and daily marijuana users. Sensation seeking emerged as the predominate predictor of the early stages of alcohol and tobacco related problems. These results suggest ecologically based self-report measures of frontal lobe function and sensation seeking are significant predictors of use frequency among college students and the extent of frontal dysfunction may be clinically significant among some heavy users. Copyright © 2016 Elsevier Ltd. All rights reserved.

Ambiphilic Frustrated Lewis Pair Exhibiting High Robustness and Reversible Water Activation: Towards the Metal-Free Hydrogenation of Carbon Dioxide.

PubMed

Rochette, Étienne; Courtemanche, Marc-André; Pulis, Alexander P; Bi, Wenhua; Fontaine, Frédéric-Georges

2015-06-29

The synthesis and structural characterization of a phenylene-bridged Frustrated Lewis Pair (FLP) having a 2,2,6,6‑tetramethylpiperidine (TMP) as the Lewis base and a 9-borabicyclo[3.3.1]nonane (BBN) as the Lewis acid is reported. This FLP exhibits unique robustness towards the products of carbon dioxide hydrogenation. The compound shows reversible splitting of water, formic acid and methanol while no reaction is observed in the presence of excess formaldehyde. The molecule is incredibly robust, showing little sign of degradation after heating at 80 °C in benzene with 10 equiv. of formic acid for 24 h. The robustness of the system could be exploited in the design of metal-free catalysts for the hydrogenation of carbon dioxide.

Cross-Modal Binding in Developmental Dyslexia

ERIC Educational Resources Information Center

Jones, Manon W.; Branigan, Holly P.; Parra, Mario A.; Logie, Robert H.

2013-01-01

The ability to learn visual-phonological associations is a unique predictor of word reading, and individuals with developmental dyslexia show impaired ability in learning these associations. In this study, we compared developmentally dyslexic and nondyslexic adults on their ability to form cross-modal associations (or "bindings") based…

Canonical Commonality Analysis.

ERIC Educational Resources Information Center

Leister, K. Dawn

Commonality analysis is a method of partitioning variance that has advantages over more traditional "OVA" methods. Commonality analysis indicates the amount of explanatory power that is "unique" to a given predictor variable and the amount of explanatory power that is "common" to or shared with at least one predictor…

Predicting Students' Academic Performance Based on School and Socio-Demographic Characteristics

ERIC Educational Resources Information Center

Thiele, Tamara; Singleton, Alexander; Pope, Daniel; Stanistreet, Debbi

2016-01-01

Students' trajectories into university are often uniquely dependent on school qualifications though these alone are limited as predictors of academic potential. This study endorses this, examining associations between school grades, school type, school performance, socio-economic deprivation, neighbourhood participation, sex and academic…

Long-Distance and Proximal Romantic Relationship Satisfaction: Attachment and Closeness Predictors

ERIC Educational Resources Information Center

Roberts, Amber; Pistole, M. Carole

2009-01-01

Relationship satisfaction was examined in college student long-distance romantic relationships (LDRRs) and geographically proximal romantic relationships (PRRs). LDRR/PRR attachment style proportions and relationship satisfaction were similar. Multiple regression analyses revealed that low attachment avoidance contributed uniquely to high LDRR…

International Student Perspectives on Graduate Advising Relationships

ERIC Educational Resources Information Center

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

2009-01-01

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

Sheltering the self from the storm: self-construal abstractness and the stability of self-esteem.

PubMed

Updegraff, John A; Emanuel, Amber S; Suh, Eunkook M; Gallagher, Kristel M

2010-01-01

Self-construal abstractness (SCA) refers to the degree to which people construe important bases of self-esteem in a broad, flexible, and abstract rather than a concrete and specific manner. This article hypothesized that SCA would be a unique predictor of self-esteem stability, capturing the degree to which people's most important bases of self-worth are resistant to disconfirmation. Two studies using a daily diary methodology examined relationships between SCA, daily self-esteem, and daily emotions and/or events. In Study 1, individual differences in SCA emerged as the most consistent and unique predictor of self-esteem stability. Furthermore, SCA contributed to self-esteem stability by buffering the influence of daily negative emotions on self-esteem. Study 2 manipulated SCA via a daily self-construal task and found an abstract versus concrete self-focus to buffer the influence of daily negative events on self-esteem. Implications of these findings for the study of the self and well-being are discussed.

A four-year longitudinal study examining psychache and suicide ideation in elevated-risk undergraduates: A test of Shneidman's model of suicidal behavior.

PubMed

Montemarano, Vanessa; Troister, Talia; Lambert, Christine E; Holden, Ronald R

2018-05-16

Using a 4-year follow-up design, this research investigated Shneidman's model of psychache (i.e., intense mental pain/anguish) as the cause of suicide. Operationalizing suicidal manifestations using suicide ideation, we evaluated Shneidman's assertion that psychache is the prominent predictor of suicide ideation and that other suicide-related psychological variables associate with suicide ideation only through psychache. Eighty-two undergraduates at elevated suicide risk were assessed at baseline and follow-up with measures of suicide ideation and three psychological predictors: depression, hopelessness, and psychache. At baseline, only psychache and neither depression nor hopelessness contributed significant, unique information to statistically predicting suicide ideation. For 4-year change in suicide ideation, only psychache and neither depression nor hopelessness provided significant, unique information. Results provided partial support for Shneidman's contention of the importance of psychache for suicidal behavior and that other psychological factors are only important to suicide insofar as they relate through psychache. © 2018 Wiley Periodicals, Inc.

The relative contributions of speechreading and vocabulary to deaf and hearing children's reading ability.

PubMed

Kyle, Fiona Elizabeth; Campbell, Ruth; MacSweeney, Mairéad

2016-01-01

Vocabulary knowledge and speechreading are important for deaf children's reading development but it is unknown whether they are independent predictors of reading ability. This study investigated the relationships between reading, speechreading and vocabulary in a large cohort of deaf and hearing children aged 5 to 14 years. 86 severely and profoundly deaf children and 91 hearing children participated in this study. All children completed assessments of reading comprehension, word reading accuracy, speechreading and vocabulary. Regression analyses showed that vocabulary and speechreading accounted for unique variance in both reading accuracy and comprehension for deaf children. For hearing children, vocabulary was an independent predictor of both reading accuracy and comprehension skills but speechreading only accounted for unique variance in reading accuracy. Speechreading and vocabulary are important for reading development in deaf children. The results are interpreted within the Simple View of Reading framework and the theoretical implications for deaf children's reading are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

Firefly Algorithm in detection of TEC seismo-ionospheric anomalies

NASA Astrophysics Data System (ADS)

Akhoondzadeh, Mehdi

2015-07-01

Anomaly detection in time series of different earthquake precursors is an essential introduction to create an early warning system with an allowable uncertainty. Since these time series are more often non linear, complex and massive, therefore the applied predictor method should be able to detect the discord patterns from a large data in a short time. This study acknowledges Firefly Algorithm (FA) as a simple and robust predictor to detect the TEC (Total Electron Content) seismo-ionospheric anomalies around the time of the some powerful earthquakes including Chile (27 February 2010), Varzeghan (11 August 2012) and Saravan (16 April 2013). Outstanding anomalies were observed 7 and 5 days before the Chile and Varzeghan earthquakes, respectively and also 3 and 8 days prior to the Saravan earthquake.

Traumatic Events Associated With Posttraumatic Stress Disorder: The Role of Race/Ethnicity and Depression.

PubMed

Lipsky, Sherry; Kernic, Mary A; Qiu, Qian; Hasin, Deborah S

2016-08-01

This study sought to examine specific types of potentially traumatic experiences as predictors of posttraumatic stress disorder (PTSD) and the moderating effect of race/ethnicity and major depressive disorder (MDD) among non-Hispanic White, non-Hispanic Black, and Hispanic U.S. women. The study sample was drawn from two waves of the National Epidemiologic Surveys of Alcohol and Related Conditions. Sexual assault, intimate partner violence, and childhood trauma were the strongest predictors of PTSD compared with the reference group (indirect/witnessed trauma). Similar patterns were revealed across racial/ethnic groups, although the estimates were most robust among White women. Findings also suggest that MDD moderates the effect of traumatic experiences on PTSD. © The Author(s) 2015.

Consensually defined facets of personality as prospective predictors of change in depression symptoms.

PubMed

Naragon-Gainey, Kristin; Watson, David

2014-08-01

Depression has robust associations with personality, showing a strong relation with neuroticism and more moderate associations with extraversion and conscientiousness. In addition, each Big Five domain can be decomposed into narrower facets. However, we currently lack consensus as to the contents of Big Five facets, with idiosyncrasies across instruments; moreover, few studies have examined associations with depression. In the current study, community participants completed six omnibus personality inventories; self-reported depressive symptoms were assessed at baseline and 5 years later. Exploratory factor analyses suggested three to five facets in each domain, and these facets served as prospective predictors of depression in hierarchical regressions, after accounting for baseline and trait depression. In these analyses, high anger (from neuroticism), low positive emotionality (extraversion), low conventionality (conscientiousness), and low culture (openness to experiences) were significant prospective predictors of depression. Results are discussed in regard to personality structure and assessment, as well as personality-psychopathology associations. © The Author(s) 2014.

Developmental precursors of young school-age children's hostile attribution bias.

PubMed

Choe, Daniel Ewon; Lane, Jonathan D; Grabell, Adam S; Olson, Sheryl L

2013-12-01

This prospective longitudinal study provides evidence of preschool-age precursors of hostile attribution bias in young school-age children, a topic that has received little empirical attention. We examined multiple risk domains, including laboratory and observational assessments of children's social-cognition, general cognitive functioning, effortful control, and peer aggression. Preschoolers (N = 231) with a more advanced theory-of-mind, better emotion understanding, and higher IQ made fewer hostile attributions of intent in the early school years. Further exploration of these significant predictors revealed that only certain components of these capacities (i.e., nonstereotypical emotion understanding, false-belief explanation, and verbal IQ) were robust predictors of a hostile attribution bias in young school-age children and were especially strong predictors among children with more advanced effortful control. These relations were prospective in nature-the effects of preschool variables persisted after accounting for similar variables at school age. We conclude by discussing the implications of our findings for future research and prevention. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Validating the psycholinguistic aspects of LITMUS-CLT: Evidence from Polish and Norwegian.

PubMed

Hansen, Pernille; Simonsen, Hanne Gram; Łuniewska, Magdalena; Haman, Ewa

2017-01-01

The novel assessment tool Cross-Linguistic Lexical Tasks (LITMUS-CLT) aims for comparable cross-linguistic assessment of multilingual children's lexical skills by basing each language version on two language-specific variables: age of acquisition (AoA) and complexity index (CI), a novel measure related to phonology, morphology, exposure and etymology. This article investigates the validity of this methodology, asking whether the underlying properties are robust predictors of children's performance. The Polish and Norwegian CLTs were used to assess 32 bilingual Polish-Norwegian, 34 monolingual Norwegian and 36 monolingual Polish children. The effects of AoA and CI were contrasted with frequency in child directed speech (CDS) and imageability, two known predictors of lexical development. AoA was a reliable predictor of performance within all parts of CLT, in contrast to CI. Apart from AoA, only exposure and CDS frequency had a significant effect within both monolinguals and bilinguals. These results indicate that CLT assesses lexical skills in a cross-linguistically comparable manner, but suggest a revision of the CI measure.

Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior.

PubMed

Treweek, Shaun; Bonetti, Debbie; Maclennan, Graeme; Barnett, Karen; Eccles, Martin P; Jones, Claire; Pitts, Nigel B; Ricketts, Ian W; Sullivan, Frank; Weal, Mark; Francis, Jill J

2014-03-01

To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME. Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention. Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed. A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial. Copyright © 2014 Elsevier Inc. All rights reserved.

Looking for signs of Alzheimer's disease.

PubMed

Hodgson, Lynne Gershenson; Cutler, Stephen J

2003-01-01

This study examined the correlates of symptom-seeking behavior for Alzheimer's disease (AD) among middle-aged persons. Symptom seeking, the tendency to search for signs of disease, is one manifestation of an individual's concern about developing AD. The data were obtained from a survey of two subsamples of 40-60 year old adults: 1) 108 adult children with a living parent with a diagnosis of probable AD; and 2) 150 adults in a matched group with no parental history of AD. Bivariate and multivariate analyses were used to identify significant predictors of symptom seeking, which was measured by a composite index comprised of responses from three questions about checking for signs of AD, interpreting signs as symptoms of AD, and soliciting external validation for concerns. Four clusters of predictors were examined: memory assessment, AD experience, sociodemographics, and well-being. Within these clusters, the constellations of significant predictors varied by subsample, but the most robust predictors were aspects of subjective assessments of memory functioning and AD experience. An understanding of the correlates of symptom seeking for AD has implications for early detection of the disease as well as identifying populations under stress from excessive worry about their own future health.

Personality Traits as Prospective Predictors of Suicide Attempts

PubMed Central

Yen, Shirley; Shea, M. Tracie; Sanislow, Charles A.; Skodol, Andrew E.; Grilo, Carlos M.; Edelen, Maria Orlando; Stout, Robert L.; Morey, Leslie C.; Zanarini, Mary C.; Markowitz, John C.; McGlashan, Thomas H.; Daversa, Maria T.; Gunderson, John G.

2009-01-01

OBJECTIVE To examine higher order personality factors of negative affectivity (NA) and disinhibition (DIS), as well as lower order facets of impulsivity, as prospective predictors of suicide attempts in a predominantly personality disordered (PD) sample. METHOD Data were analyzed from 701 participants of the Collaborative Longitudinal Personality Disorders Study (CLPS) with available follow-up data for up to 7 years. Cox proportional hazards regression analyses was used to examine NA and DIS, and facets of impulsivity (e.g., urgency, lack of perseverance, lack of premeditation, and sensation seeking), as prospective predictors of suicide attempts. RESULTS NA, DIS, and all facets of impulsivity except for sensation seeking were significant in univariate analyses. In multivariate models which included sex, childhood sexual abuse (CSA), course of major depressive disorder (MDD) and substance use disorders (SUD), only NA and lack of premeditation remained significant in predicting suicide attempts. Disinhibition and the remaining impulsivity facets were not significant. CONCLUSION Negative affectivity emerged as a stronger and more robust predictor of suicide attempts than disinhibition and impulsivity, and warrants greater attention in suicide risk assessment. Distinguishing between facets of impulsivity is important for clinical risk assessment. PMID:19298413

Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

PubMed

Henneghan, Ashley M; Palesh, Oxana; Harrison, Michelle; Kesler, Shelli R

2018-07-15

The purpose of this study is to explore 13 cytokine predictors of chemotherapy-related cognitive impairment (CRCI) in breast cancer survivors (BCS) 6 months to 10 years after chemotherapy completion using a multivariate, non-parametric approach. Cross sectional data collection included completion of a survey, cognitive testing, and non-fasting blood from 66 participants. Data were analyzed using random forest regression to identify the most significant predictors for each of the cognitive test scores. A different cytokine profile predicted each cognitive test. Adjusted R 2 for each model ranged from 0.71-0.77 (p's < 9.50 -10 ). The relationships between all the cytokine predictors and cognitive test scores were non-linear. Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study. Copyright © 2018 Elsevier B.V. All rights reserved.

A Longitudinal Study of Work After Retirement: Examining Predictors of Bridge Employment, Continued Career Employment, and Retirement.

PubMed

Bennett, Misty M; Beehr, Terry A; Lepisto, Lawrence R

2016-09-01

Older employees are increasingly accepting bridge employment, which occurs when older workers take employment for pay after they retire from their main career. This study examined predictors of workers' decisions to engage in bridge employment versus full retirement and career employment. A national sample of 482 older people in the United States was surveyed regarding various work-related and nonwork related predictors of retirement decisions, and their retirement status was measured 5 years later. In bivariate analyses, both work-related variables (career goal achievement and experienced pressure to retire) and nonwork-related variables (psychological distress and traditional gender role orientation) predicted taking bridge employment, but in multinomial logistic regression, only nonwork variables had unique effects. Few predictors differentiated the bridge employed and fully retired groups. Nonwork variables were salient in making the decision to retire, and bridge employment may be conceptually more similar to full retirement than to career employment. © The Author(s) 2016.

Covariate selection with group lasso and doubly robust estimation of causal effects

PubMed Central

Koch, Brandon; Vock, David M.; Wolfson, Julian

2017-01-01

Summary The efficiency of doubly robust estimators of the average causal effect (ACE) of a treatment can be improved by including in the treatment and outcome models only those covariates which are related to both treatment and outcome (i.e., confounders) or related only to the outcome. However, it is often challenging to identify such covariates among the large number that may be measured in a given study. In this paper, we propose GLiDeR (Group Lasso and Doubly Robust Estimation), a novel variable selection technique for identifying confounders and predictors of outcome using an adaptive group lasso approach that simultaneously performs coefficient selection, regularization, and estimation across the treatment and outcome models. The selected variables and corresponding coefficient estimates are used in a standard doubly robust ACE estimator. We provide asymptotic results showing that, for a broad class of data generating mechanisms, GLiDeR yields a consistent estimator of the ACE when either the outcome or treatment model is correctly specified. A comprehensive simulation study shows that GLiDeR is more efficient than doubly robust methods using standard variable selection techniques and has substantial computational advantages over a recently proposed doubly robust Bayesian model averaging method. We illustrate our method by estimating the causal treatment effect of bilateral versus single-lung transplant on forced expiratory volume in one year after transplant using an observational registry. PMID:28636276

Covariate selection with group lasso and doubly robust estimation of causal effects.

PubMed

Koch, Brandon; Vock, David M; Wolfson, Julian

2018-03-01

The efficiency of doubly robust estimators of the average causal effect (ACE) of a treatment can be improved by including in the treatment and outcome models only those covariates which are related to both treatment and outcome (i.e., confounders) or related only to the outcome. However, it is often challenging to identify such covariates among the large number that may be measured in a given study. In this article, we propose GLiDeR (Group Lasso and Doubly Robust Estimation), a novel variable selection technique for identifying confounders and predictors of outcome using an adaptive group lasso approach that simultaneously performs coefficient selection, regularization, and estimation across the treatment and outcome models. The selected variables and corresponding coefficient estimates are used in a standard doubly robust ACE estimator. We provide asymptotic results showing that, for a broad class of data generating mechanisms, GLiDeR yields a consistent estimator of the ACE when either the outcome or treatment model is correctly specified. A comprehensive simulation study shows that GLiDeR is more efficient than doubly robust methods using standard variable selection techniques and has substantial computational advantages over a recently proposed doubly robust Bayesian model averaging method. We illustrate our method by estimating the causal treatment effect of bilateral versus single-lung transplant on forced expiratory volume in one year after transplant using an observational registry. © 2017, The International Biometric Society.

Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study

PubMed Central

Lilley, Rebbecca; Davie, Gabrielle; Derrett, Sarah

2017-01-01

Objectives Few studies examine the influence of early predictors of work absence beyond 12 months following injury or the time-dependent relative importance of these factors. This study aimed to identify the most important sociodemographic, occupational, health, lifestyle and injury predictors of work absence at 12 and 24 months following injury and to examine changes in the relative importance of these over time. Design Prospective cohort study. Setting The Prospective Outcomes of Injury Study, New Zealand. Participants 2626 injured New Zealand workers aged 18–64 years were identified from the Prospective Outcomes of Injury Study recruited form New Zealand’s monopoly injury compensation provider injury claims register: 2092 completed the 12-month interview (80% follow-up) and 2082 completed the 24-month interview (79% follow-up). Primary and secondary outcomes measures The primary outcomes of interest was absence from work at the time of the 12-month and 24-month follow-up interviews. Results Using modified Poisson regression to estimate relative risks, important groups of workers were identified at increased risk of work absence at both 12 and 24 months: males, low-income workers, trade/manual workers, temporary employees, those reporting two or more comorbidities and those experiencing a work-related injury. Important factors unique to predicting work absence at 12 months included financial insecurity, fixed-term employment and long weekly hours worked; unique factors at 24 months included job dissatisfaction, long weekly days worked, a prior injury and sustaining an injury that was perceived to be a threat to life. Conclusions Important early predictors of work absence at 12 or 24 months following injury are multidimensional and have a time dependent pattern. A consistent set of predictors was, however, present at both time periods that are prime for early intervention. Understanding the multidimensional, time-dependent patterns of early predictors of long-term disability is important to optimally target timely interventions to prevent long-term work disability. PMID:29150466

Positively Biased Self-Perceptions in Children with ADHD: Unique Predictor of Future Maladjustment.

PubMed

Jia, Mary; Jiang, Yuanyuan; Mikami, Amori Yee

2016-04-01

This study assessed children's overestimations of self-competence (positively biased self-perceptions or positive bias [PB]) relative to parent/teacher ratings of children's competence in predicting children's adjustment in a new setting. Eighty-five children (13 boys and 11 girls with Attention-Deficit/Hyperactivity Disorder [ADHD]; 30 boys and 31 girls who were typically developing [TD]), ages 6.8 to 9.8 years (M = 8.13; SD = 0.82), attended a 2-week summer day camp grouped into same-age, same-sex classrooms with previously unacquainted peers and counselors. Prior to camp, PB was assessed by creating standardized discrepancy scores between children's self-ratings relative to parent or teacher ratings of the children's social and behavioral competence. The relative ability of these discrepancy scores to predict peer preference and oppositionality at camp in relation to parent or teacher ratings alone was evaluated. For children with ADHD, both discrepancy scores and informant ratings of competence were uniquely predictive of peer preference and oppositionality assessed during camp. For TD children, only informant ratings of competence were predictive of outcomes at camp. These results suggest that PB may be a unique predictor of maladjustment within a novel environment for children with ADHD, but not TD children.

A multiple deficit model of reading disability and attention-deficit/hyperactivity disorder: searching for shared cognitive deficits.

PubMed

McGrath, Lauren M; Pennington, Bruce F; Shanahan, Michelle A; Santerre-Lemmon, Laura E; Barnard, Holly D; Willcutt, Erik G; Defries, John C; Olson, Richard K

2011-05-01

This study tests a multiple cognitive deficit model of reading disability (RD), attention-deficit/hyperactivity disorder (ADHD), and their comorbidity. A structural equation model (SEM) of multiple cognitive risk factors and symptom outcome variables was constructed. The model included phonological awareness as a unique predictor of RD and response inhibition as a unique predictor of ADHD. Processing speed, naming speed, and verbal working memory were modeled as potential shared cognitive deficits. Model fit indices from the SEM indicated satisfactory fit. Closer inspection of the path weights revealed that processing speed was the only cognitive variable with significant unique relationships to RD and ADHD dimensions, particularly inattention. Moreover, the significant correlation between reading and inattention was reduced to non-significance when processing speed was included in the model, suggesting that processing speed primarily accounted for the phenotypic correlation (or comorbidity) between reading and inattention. This study illustrates the power of a multiple deficit approach to complex developmental disorders and psychopathologies, particularly for exploring comorbidities. The theoretical role of processing speed in the developmental pathways of RD and ADHD and directions for future research are discussed. © 2010 The Authors. Journal of Child Psychology and Psychiatry © 2010 Association for Child and Adolescent Mental Health.

Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks

NASA Astrophysics Data System (ADS)

Lombardo, Luigi; Saia, Sergio; Schillaci, Calogero; Mai, P. Martin; Huser, Raphaël

2018-05-01

Soil Organic Carbon (SOC) estimation is crucial to manage both natural and anthropic ecosystems and has recently been put under the magnifying glass after the Paris agreement 2016 due to its relationship with greenhouse gas. Statistical applications have dominated the SOC stock mapping at regional scale so far. However, the community has hardly ever attempted to implement Quantile Regression (QR) to spatially predict the SOC distribution. In this contribution, we test QR to estimate SOC stock (0-30 $cm$ depth) in the agricultural areas of a highly variable semi-arid region (Sicily, Italy, around 25,000 $km2$) by using topographic and remotely sensed predictors. We also compare the results with those from available SOC stock measurement. The QR models produced robust performances and allowed to recognize dominant effects among the predictors with respect to the considered quantile. This information, currently lacking, suggests that QR can discern predictor influences on SOC stock at specific sub-domains of each predictors. In this work, the predictive map generated at the median shows lower errors than those of the Joint Research Centre and International Soil Reference, and Information Centre benchmarks. The results suggest the use of QR as a comprehensive and effective method to map SOC using legacy data in agro-ecosystems. The R code scripted in this study for QR is included.

EMERGING TECHNOLOGY BULLETIN: SPOUTED BED REACTOR

EPA Science Inventory

The Spouted Bed Reactor (SBR) technology utilizes the unique attributes of the "spouting " fluidization regime, which can provide heat transfer rates comparable to traditional fluid beds, while providing robust circulation of highly heterogeneous solids, concurrent with very agg...

Statistical prediction of seasonal discharge in Central Asia for water resources management: development of a generic (pre-)operational modeling tool

NASA Astrophysics Data System (ADS)

Apel, Heiko; Baimaganbetov, Azamat; Kalashnikova, Olga; Gavrilenko, Nadejda; Abdykerimova, Zharkinay; Agalhanova, Marina; Gerlitz, Lars; Unger-Shayesteh, Katy; Vorogushyn, Sergiy; Gafurov, Abror

2017-04-01

The semi-arid regions of Central Asia crucially depend on the water resources supplied by the mountainous areas of the Tien-Shan and Pamirs. During the summer months the snow and glacier melt dominated river discharge originating in the mountains provides the main water resource available for agricultural production, but also for storage in reservoirs for energy generation during the winter months. Thus a reliable seasonal forecast of the water resources is crucial for a sustainable management and planning of water resources. In fact, seasonal forecasts are mandatory tasks of all national hydro-meteorological services in the region. In order to support the operational seasonal forecast procedures of hydromet services, this study aims at the development of a generic tool for deriving statistical forecast models of seasonal river discharge. The generic model is kept as simple as possible in order to be driven by available hydrological and meteorological data, and be applicable for all catchments with their often limited data availability in the region. As snowmelt dominates summer runoff, the main meteorological predictors for the forecast models are monthly values of winter precipitation and temperature as recorded by climatological stations in the catchments. These data sets are accompanied by snow cover predictors derived from the operational ModSnow tool, which provides cloud free snow cover data for the selected catchments based on MODIS satellite images. In addition to the meteorological data antecedent streamflow is used as a predictor variable. This basic predictor set was further extended by multi-monthly means of the individual predictors, as well as composites of the predictors. Forecast models are derived based on these predictors as linear combinations of up to 3 or 4 predictors. A user selectable number of best models according to pre-defined performance criteria is extracted automatically by the developed model fitting algorithm, which includes a test for robustness by a leave-one-out cross validation. Based on the cross validation the predictive uncertainty was quantified for every prediction model. According to the official procedures of the hydromet services forecasts of the mean seasonal discharge of the period April to September are derived every month starting from January until June. The application of the model for several catchments in Central Asia - ranging from small to the largest rivers - for the period 2000-2015 provided skillful forecasts for most catchments already in January. The skill of the prediction increased every month, with R2 values often in the range 0.8 - 0.9 in April just before the prediction period. The forecasts further improve in the following months, most likely due to the integration of spring precipitation, which is not included in the predictors before May, or spring discharge, which contains indicative information for the overall seasonal discharge. In summary, the proposed generic automatic forecast model development tool provides robust predictions for seasonal water availability in Central Asia, which will be tested against the official forecasts in the upcoming years, with the vision of eventual operational implementation.

Objective Ratings of Relationship Skills across Multiple Domains as Predictors of Marital Satisfaction Trajectories

PubMed Central

Lawrence, Erika; Pederson, Ashley; Bunde, Mali; Barry, Robin A.; Brock, Rebecca L.; Fazio, Emily; Mulryan, Lorin; Hunt, Sara; Madsen, Lisa; Dzankovic, Sandra

2008-01-01

Expanding upon social-learning and vulnerability-stress-adaptation approaches to marriage, the impact of multiple dyadic behaviors on marital satisfaction trajectories was examined in 101 couples. Semi-structured interviews were administered separately to husbands and wives at 3 months of marriage. Interviewers generated objective ratings for five domains: emotional closeness/intimacy, sexual intimacy/sensuality, interspousal support, decision-making/relational control, and communication/conflict management. Marital satisfaction was assessed four times over three years. Dyadic behaviors were associated with initial levels and rates of change in satisfaction, demonstrating the unique contributions of each relational skill on marital development. For husbands, sexual intimacy was the strongest predictor of change whereas for wives, communication/conflict management was the strongest predictor of change compared to other domains. Theoretical, methodological and clinical implications are discussed. PMID:19122752

Examining Suicide Protective Factors Among Black College Students

PubMed Central

Wang, Mei-Chuan; Lightsey, Owen Richard; Tran, Kimberly K.; Bonaparte, Taria S.

2012-01-01

The purpose of this study was to contribute to the nascent literature on resilience and suicidality among Black Americans by examining factors that may predict less suicidal behavior among this population. We hypothesized that reasons for living, life satisfaction, and religious awareness would account for unique variance in suicidal thoughts and behavior among Black Americans, above the variance accounted for by depressive symptoms. We also hypothesized that reasons for living and religious awareness would be stronger inverse predictors among Black women than Black men. Results indicated that both depression and life satisfaction were stronger predictors of suicidal behavior among Black men. Among women, only reasons for living was a significant inverse predictor of suicidal thoughts and behavior. More frequent reasons for living moderated the relationship between depression and suicidal thoughts and behavior among Black women. PMID:24524434

Subcutaneous Tissue Thickness is an Independent Predictor of Image Noise in Cardiac CT

PubMed Central

Staniak, Henrique Lane; Sharovsky, Rodolfo; Pereira, Alexandre Costa; de Castro, Cláudio Campi; Benseñor, Isabela M.; Lotufo, Paulo A.; Bittencourt, Márcio Sommer

2014-01-01

Background Few data on the definition of simple robust parameters to predict image noise in cardiac computed tomography (CT) exist. Objectives To evaluate the value of a simple measure of subcutaneous tissue as a predictor of image noise in cardiac CT. Methods 86 patients underwent prospective ECG-gated coronary computed tomographic angiography (CTA) and coronary calcium scoring (CAC) with 120 kV and 150 mA. The image quality was objectively measured by the image noise in the aorta in the cardiac CTA, and low noise was defined as noise < 30HU. The chest anteroposterior diameter and lateral width, the image noise in the aorta and the skin-sternum (SS) thickness were measured as predictors of cardiac CTA noise. The association of the predictors and image noise was performed by using Pearson correlation. Results The mean radiation dose was 3.5 ± 1.5 mSv. The mean image noise in CT was 36.3 ± 8.5 HU, and the mean image noise in non-contrast scan was 17.7 ± 4.4 HU. All predictors were independently associated with cardiac CTA noise. The best predictors were SS thickness, with a correlation of 0.70 (p < 0.001), and noise in the non-contrast images, with a correlation of 0.73 (p < 0.001). When evaluating the ability to predict low image noise, the areas under the ROC curve for the non-contrast noise and for the SS thickness were 0.837 and 0.864, respectively. Conclusion Both SS thickness and CAC noise are simple accurate predictors of cardiac CTA image noise. Those parameters can be incorporated in standard CT protocols to adequately adjust radiation exposure. PMID:24173136

Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures

PubMed Central

Butler, Rebecca A.

2014-01-01

Stroke aphasia is a multidimensional disorder in which patient profiles reflect variation along multiple behavioural continua. We present a novel approach to separating the principal aspects of chronic aphasic performance and isolating their neural bases. Principal components analysis was used to extract core factors underlying performance of 31 participants with chronic stroke aphasia on a large, detailed battery of behavioural assessments. The rotated principle components analysis revealed three key factors, which we labelled as phonology, semantic and executive/cognition on the basis of the common elements in the tests that loaded most strongly on each component. The phonology factor explained the most variance, followed by the semantic factor and then the executive-cognition factor. The use of principle components analysis rendered participants’ scores on these three factors orthogonal and therefore ideal for use as simultaneous continuous predictors in a voxel-based correlational methodology analysis of high resolution structural scans. Phonological processing ability was uniquely related to left posterior perisylvian regions including Heschl’s gyrus, posterior middle and superior temporal gyri and superior temporal sulcus, as well as the white matter underlying the posterior superior temporal gyrus. The semantic factor was uniquely related to left anterior middle temporal gyrus and the underlying temporal stem. The executive-cognition factor was not correlated selectively with the structural integrity of any particular region, as might be expected in light of the widely-distributed and multi-functional nature of the regions that support executive functions. The identified phonological and semantic areas align well with those highlighted by other methodologies such as functional neuroimaging and neurostimulation. The use of principle components analysis allowed us to characterize the neural bases of participants’ behavioural performance more robustly and selectively than the use of raw assessment scores or diagnostic classifications because principle components analysis extracts statistically unique, orthogonal behavioural components of interest. As such, in addition to improving our understanding of lesion–symptom mapping in stroke aphasia, the same approach could be used to clarify brain–behaviour relationships in other neurological disorders. PMID:25348632

ACIST-FFR Study (Assessment of Catheter-Based Interrogation and Standard Techniques for Fractional Flow Reserve Measurement)

PubMed Central

Chambers, Jeffrey W.; Seto, Arnold H.; Sarembock, Ian J.; Raveendran, Ganesh; Sakarovitch, Charlotte; Yang, Lingyao; Desai, Manisha; Jeremias, Allen; Price, Matthew J.

2017-01-01

Background— Measurement of fractional flow reserve (FFR) to guide coronary revascularization lags despite robust supportive data, partly because of the handling characteristics of traditional coronary pressure wires. An optical pressure-monitoring microcatheter, which can be advanced over a traditional coronary guidewire, facilitates FFR assessment but may underestimate pressure wire–derived FFR. Methods and Results— In this prospective, multicenter trial, 169 patients underwent FFR assessment with a pressure wire alone and with a pressure microcatheter over the pressure wire. An independent core laboratory performed quantitative coronary angiography and evaluated all pressure tracings. The primary end point was the bias or difference between the microcatheter FFR and the pressure wire FFR, as assessed by Bland–Altman analysis. The mean difference between the microcatheter and the pressure wire–derived FFR values was −0.022 (95% confidence interval, −0.029 to −0.015). On multivariable analysis, reference vessel diameter (P=0.027) and lesion length (P=0.044) were independent predictors of bias between the 2 FFR measurements. When the microcatheter FFR was added to this model, it was the only independent predictor of bias (P<0.001). The mean FFR value from the microcatheter was significantly lower than from the pressure wire (0.81 versus 0.83; P<0.001). In 3% of cases (95% confidence interval, 1.3%–6.7%), there was clinically meaningful diagnostic discordance, with the FFR from the pressure wire >0.80 and that from the microcatheter <0.75. These findings were similar when including all 210 patients with site-reported paired FFR data. Conclusions— An optical, pressure-monitoring microcatheter measures lower FFR compared with a pressure wire, but the diagnostic impact appears to be minimal in most cases. Clinical Trial Registration— URL: https://www.clinicaltrials.gov. Unique identifier: NCT02577484. PMID:29246917

How Are Previous Physical Activity and Self-Efficacy Related to Future Physical Activity and Self-Efficacy?

ERIC Educational Resources Information Center

David, Prabu; Pennell, Michael L.; Foraker, Randi E.; Katz, Mira L.; Buckworth, Janet; Paskett, Electra D.

2014-01-01

Self-efficacy (SE) has been found to be a robust predictor of success in achieving physical activity (PA) goals. While much of the current research has focused on SE as a trait, SE as a state has received less attention. Using day-to-day measurements obtained over 84 days, we examined the relationship between state SE and PA. Postmenopausal women…

Robust regression on noisy data for fusion scaling laws

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

Verdoolaege, Geert, E-mail: geert.verdoolaege@ugent.be; Laboratoire de Physique des Plasmas de l'ERM - Laboratorium voor Plasmafysica van de KMS

2014-11-15

We introduce the method of geodesic least squares (GLS) regression for estimating fusion scaling laws. Based on straightforward principles, the method is easily implemented, yet it clearly outperforms established regression techniques, particularly in cases of significant uncertainty on both the response and predictor variables. We apply GLS for estimating the scaling of the L-H power threshold, resulting in estimates for ITER that are somewhat higher than predicted earlier.

Using Acute Performance on a Comprehensive Neurocognitive, Vestibular, and Ocular Motor Assessment Battery to Predict Recovery Duration After Sport-Related Concussions.

PubMed

Sufrinko, Alicia M; Marchetti, Gregory F; Cohen, Paul E; Elbin, R J; Re, Valentina; Kontos, Anthony P

2017-04-01

A sport-related concussion (SRC) is a heterogeneous injury that requires a multifaceted and comprehensive approach for diagnosis and management, including symptom reports, vestibular/ocular motor assessments, and neurocognitive testing. To determine which acute (eg, within 7 days) vestibular, ocular motor, neurocognitive, and symptom impairments predict the duration of recovery after an SRC. Cohort study (prognosis); Level of evidence, 2. Sixty-nine patients with a mean age of 15.3 ± 1.9 years completed a neurocognitive, vestibular/ocular motor, and symptom assessment within 7 days of a diagnosed concussion. Patients were grouped by recovery time: ≤14 days (n = 27, 39.1%), 15-29 days (n = 25, 36.2%), and 30-90 days (n = 17, 24.6%). Multinomial regression was used to identify the best subset of predictors associated with prolonged recovery relative to ≤14 days. Acute visual motor speed and cognitive-migraine-fatigue symptoms were associated with an increased likelihood of recovery times of 30-90 days and 15-29 days relative to a recovery time of ≤14 days. A model with visual motor speed and cognitive-migraine-fatigue symptoms within the first 7 days of an SRC was 87% accurate at identifying patients with a recovery time of 30-90 days. The current study identified cognitive-migraine-fatigue symptoms and visual motor speed as the most robust predictors of protracted recovery after an SRC according to the Post-concussion Symptom Scale, Immediate Post-concussion Assessment and Cognitive Testing, and Vestibular/Ocular Motor Screening (VOMS). While VOMS components were sensitive in identifying a concussion, they were not robust predictors for recovery. Clinicians may consider particular patterns of performance on clinical measures when providing treatment recommendations and discussing anticipated recovery with patients.

Predictors of Noncitizen and Immigrant Retention in the U.S. Military

DTIC Science & Technology

immigrant groups to assess the role of immigrants as a source of military manpower. Previous studies of noncitizen recruits have compared noncitizens to...has found that Hispanics, the largest group of noncitizen and immigrant recruits, do face unique challenges in their military experience when compared

Social Support and Physical Health: The Importance of Belonging.

ERIC Educational Resources Information Center

Hale, Cara J.; Hannum, James W.; Espelage, Dorothy L.

2005-01-01

Social support is a multifaceted construct recognized as a significant predictor of physical health. In this study, the authors examined several support domains simultaneously in a sample of 247 college students to determine their unique prediction of physical health perceptions and physical symptoms. They also examined gender differences across…

Sexual Resourcefulness and the Impact of Family, Sex Education, Media and Peers

ERIC Educational Resources Information Center

Kennett, Deborah J.; Humphreys, Terry P.; Schultz, Kristen E.

2012-01-01

Building on a recently developed theoretical model of sexual self-control, 178 undergraduate women completed measures of learned resourcefulness, reasons for consenting to unwanted advances, and sexual self-efficacy--variables consistently shown to be unique predictors of sexual resourcefulness. Additional measures assessed in this investigation…

Rapid Serial Naming Is a Unique Predictor of Spelling in Children

ERIC Educational Resources Information Center

Savage, Robert; Pillay, Vanitha; Melidona, Santo

2008-01-01

Some previous research has shown strong associations between spelling ability and rapid automatic naming (RAN) after controls for phonological processing and nonsense-word reading ability, consistent with the double-deficit hypothesis in reading and spelling. Previous studies did not, however, control for nonsense-word spelling ability before…

Family Involvement and Parent-Teacher Relationships for Students with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Garbacz, S. Andrew; McIntyre, Laura Lee; Santiago, Rachel T.

2016-01-01

Family educational involvement and parent--teacher relationships are important for supporting student outcomes and have unique implications for families of children with autism spectrum disorder (ASD). However, little research has examined child and family characteristics among families of children with ASD as predictors of family involvement and…

Research on Robustness of Tree-based P2P Streaming

NASA Astrophysics Data System (ADS)

Chu, Chen; Yan, Jinyao; Ding, Kuangzheng; Wang, Xi

Research on P2P streaming media is a hot topic in the area of Internet technology. It has emerged as a promising technique. This new paradigm brings a number of unique advantages such as scalability, resilience and also effectiveness in coping with dynamics and heterogeneity. However, There are also many problems in P2P streaming media systems using traditional tree-based topology such as the bandwidth limits between parents and child nodes; node's joining or leaving has a great effect on robustness of tree-based topology. This paper will introduce a method of measuring the robustness of tree-based topology: using network measurement, we observe and record the bandwidth between all the nodes, analyses the correlation between all the sibling flows, measure the robustness of tree-based topology. And the result shows that in the Tree-based topology, the different links which have similar routing paths would share the bandwidth bottleneck, reduce the robustness of the Tree-based topology.

A robust uniqueness-and-anonymity-preserving remote user authentication scheme for connected health care.

PubMed

Wen, Fengtong

2013-12-01

User authentication plays an important role to protect resources or services from being accessed by unauthorized users. In a recent paper, Das et al. proposed a secure and efficient uniqueness-and-anonymity-preserving remote user authentication scheme for connected health care. This scheme uses three factors, e.g. biometrics, password, and smart card, to protect the security. It protects user privacy and is believed to have many abilities to resist a range of network attacks, even if the secret information stored in the smart card is compromised. In this paper, we analyze the security of Das et al.'s scheme, and show that the scheme is in fact insecure against the replay attack, user impersonation attacks and off-line guessing attacks. Then, we also propose a robust uniqueness-and-anonymity-preserving remote user authentication scheme for connected health care. Compared with the existing schemes, our protocol uses a different user authentication mechanism to resist replay attack. We show that our proposed scheme can provide stronger security than previous protocols. Furthermore, we demonstrate the validity of the proposed scheme through the BAN (Burrows, Abadi, and Needham) logic.

Robust nonlinear canonical correlation analysis: application to seasonal climate forecasting

NASA Astrophysics Data System (ADS)

Cannon, A. J.; Hsieh, W. W.

2008-02-01

Robust variants of nonlinear canonical correlation analysis (NLCCA) are introduced to improve performance on datasets with low signal-to-noise ratios, for example those encountered when making seasonal climate forecasts. The neural network model architecture of standard NLCCA is kept intact, but the cost functions used to set the model parameters are replaced with more robust variants. The Pearson product-moment correlation in the double-barreled network is replaced by the biweight midcorrelation, and the mean squared error (mse) in the inverse mapping networks can be replaced by the mean absolute error (mae). Robust variants of NLCCA are demonstrated on a synthetic dataset and are used to forecast sea surface temperatures in the tropical Pacific Ocean based on the sea level pressure field. Results suggest that adoption of the biweight midcorrelation can lead to improved performance, especially when a strong, common event exists in both predictor/predictand datasets. Replacing the mse by the mae leads to improved performance on the synthetic dataset, but not on the climate dataset except at the longest lead time, which suggests that the appropriate cost function for the inverse mapping networks is more problem dependent.

The unique contribution of the nursing intervention pain management on length of stay in older patients undergoing hip procedures.

PubMed

Kerr, Peg; Shever, Leah; Titler, Marita G; Qin, Rui; Kim, Taikyoung; Picone, Debra M

2010-02-01

The purpose of this study was to examine the unique contribution of the nursing intervention pain management on length of stay (LOS) for 568 older patients hospitalized for hip procedures. Propensity-score-adjusted analysis was used to determine the effect of pain management on LOS. The LOS for hospitalizations that received pain management was 0.78 day longer than that for hospitalizations that did not receive pain management. Other variables that were predictors of LOS included several context-of-care variables (e.g., time spent in the intensive care unit, registered nurse skill mix, etc.), number of medical procedures and unique medications, and several other nursing interventions. Copyright 2010 Elsevier Inc. All rights reserved.

Robust and Soft Elastomeric Electronics Tolerant to Our Daily Lives.

PubMed

Sekiguchi, Atsuko; Tanaka, Fumiaki; Saito, Takeshi; Kuwahara, Yuki; Sakurai, Shunsuke; Futaba, Don N; Yamada, Takeo; Hata, Kenji

2015-09-09

Clothes represent a unique textile, as they simultaneously provide robustness against our daily activities and comfort (i.e., softness). For electronic devices to be fully integrated into clothes, the devices themselves must be as robust and soft as the clothes themselves. However, to date, no electronic device has ever possessed these properties, because all contain components fabricated from brittle materials, such as metals. Here, we demonstrate robust and soft elastomeric devices where every component possesses elastomeric characteristics with two types of single-walled carbon nanotubes added to provide the necessary electronic properties. Our elastomeric field effect transistors could tolerate every punishment our clothes experience, such as being stretched (elasticity: ∼ 110%), bent, compressed (>4.0 MPa, by a car and heels), impacted (>6.26 kg m/s, by a hammer), and laundered. Our electronic device provides a novel design principle for electronics and wide range applications even in research fields where devices cannot be used.

Cheap or Robust? The practical realization of self-driving wheelchair technology.

PubMed

Burhanpurkar, Maya; Labbe, Mathieu; Guan, Charlie; Michaud, Francois; Kelly, Jonathan

2017-07-01

To date, self-driving experimental wheelchair technologies have been either inexpensive or robust, but not both. Yet, in order to achieve real-world acceptance, both qualities are fundamentally essential. We present a unique approach to achieve inexpensive and robust autonomous and semi-autonomous assistive navigation for existing fielded wheelchairs, of which there are approximately 5 million units in Canada and United States alone. Our prototype wheelchair platform is capable of localization and mapping, as well as robust obstacle avoidance, using only a commodity RGB-D sensor and wheel odometry. As a specific example of the navigation capabilities, we focus on the single most common navigation problem: the traversal of narrow doorways in arbitrary environments. The software we have developed is generalizable to corridor following, desk docking, and other navigation tasks that are either extremely difficult or impossible for people with upper-body mobility impairments.

Engineering industrial yeast for renewable advanced biofuels applications

USDA-ARS?s Scientific Manuscript database

The industrial yeast Saccharomyces cerevisiae is a candidate for the next-generation biocatalyst development due to its unique genomic background and robust performance in fermentation-based production. In order to meet challenges of renewable and sustainable advanced biofuels conversion including ...

Symptoms predicting psychosocial impairment in bulimia nervosa.

PubMed

Jenkins, Paul E; Staniford, Jessica; Luck, Amy

2017-05-12

The current study aimed to determine which particular eating disorder (ED) symptoms and related features, such as BMI and psychological distress, uniquely predict impairment in bulimia nervosa (BN). Two hundred and twenty-two adults with BN completed questionnaires assessing ED symptoms, general psychological distress, and psychosocial impairment. Regression analyses were used to determine predictors which account for variance in impairment. Four variables emerged as significant predictors of psychosocial impairment: concerns with eating; concerns with weight and shape; dietary restraint; and general psychological distress. Findings support previous work highlighting the importance of weight and shape concerns in determining ED-related impairment. Other ED symptoms, notably dietary restraint and concerns with eating, were also significant predictors as was psychological distress. Results suggest that cognitive aspects of EDs, in addition to psychological distress, may be more important determinants of impairment than behavioural symptoms, such as binge eating or purging.

Towards an understanding of dimensions, predictors, and gender gap in written composition

PubMed Central

Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy

2014-01-01

We had three aims in the present study: (1) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum based writing [CBM]) , (2) to investigate unique language and cognitive predictors of the identified dimensions, and (3) to examine gender gap in the identified dimensions of writing. These questions were addressed using data from second and third grade students (N = 494). Data were analyzed using confirmatory factor analysis and multilevel modeling. Results showed that writing quality, productivity, and CBM scoring were dissociable constructs, but that writing quality and CBM scoring were highly related (r = .82). Language and cognitive predictors differed among the writing outcomes. Boys had lower writing scores than girls even after accounting for language, reading, attention, spelling, handwriting automaticity, and rapid automatized naming. Results are discussed in light of writing evaluation and a developmental model of writing. PMID:25937667

Relative importance and utility of positive worker states: a review and empirical examination.

PubMed

Steele, John P; Rupayana, Disha D; Mills, Maura J; Smith, Michael R; Wefald, Andrew; Downey, Ronald G

2012-01-01

Our purpose was to identity the unique contribution, relative importance, and utility of positive worker states. Using Luthans et al.'s (2007) five positive organizational behavior criteria, a variety of positive worker states were reviewed and then empirically tested to establish if they met these criteria. Data were collected from 724 restaurant employees. Positive worker states included: job involvement, perceived organizational support, engagement, and vigor. Criteria were self-reported performance, customer service, turnover intention, satisfaction, and quality of life. Our review indicated consistency between predictor adequacy of meeting the criteria and their empirical relationship with key outcomes. This research found the positive worker states to be independent constructs that had differential effects depending on the focused outcome. Regression and relative weights analyses showed involvement was a weak predictor of outcomes, while perceived organizational support was the most consistent predictor. Vigor was most useful when predicting job performance. Quality of life was poorly explained.

Are thoughtful people more utilitarian? CRT as a unique predictor of moral minimalism in the dilemmatic context.

PubMed

Royzman, Edward B; Landy, Justin F; Leeman, Robert F

2015-03-01

Recent theorizing about the cognitive underpinnings of dilemmatic moral judgment has equated slow, deliberative thinking with the utilitarian disposition and fast, automatic thinking with the deontological disposition. However, evidence for the reflective utilitarian hypothesis-the hypothesized link between utilitarian judgment and individual differences in the capacity for rational reflection (gauged here by the Cognitive Reflection Test [CRT; Frederick, 2005]) has been inconsistent and difficult to interpret in light of several design flaws. In two studies aimed at addressing some of the flaws, we found robust evidence for a reflective minimalist hypothesis-high CRT performers' tendency to regard utility-optimizing acts as largely a matter of personal prerogative, permissible both to perform and to leave undone. This relationship between CRT and the "minimalist" orientation remained intact after controlling for age, sex, trait affect, social desirability, and educational attainment. No significant association was found between CRT and the strict utilitarian response pattern or CRT and the strict deontological response pattern, nor did we find any significant association between CRT and willingness to act in the utility-optimizing manner. However, we found an inverse association between empathic concern and a willingness to act in the utility-optimizing manner, but there was no comparable association between empathic concern and the deontological judgment pattern. Theoretical, methodological, and normative implications of the findings are discussed. Copyright © 2014 Cognitive Science Society, Inc.

Physician styles of patient management as a potential source of disparities: cluster analysis from a factorial experiment.

PubMed

Lutfey, Karen E; Gerstenberger, Eric; McKinlay, John B

2013-06-01

To identify styles of physician decision making (as opposed to singular clinical actions) and to analyze their association with variations in the management of a vignette presentation of coronary heart disease (CHD). Primary data were collected from primary care physicians in North and South Carolina. In a balanced factorial experimental design, primary care physicians viewed one of 16 (2(4)) video vignette presentations of CHD and provided detailed information about how they would manage the case. 256 MD primary care physicians were interviewed face-to-face in North and South Carolina. We identify three clusters depicting unique styles of CHD management that are robust to controls for physician (gender and level of experience) and patient characteristics (age, gender, socioeconomic status, and race) as well as key organizational features of physicians' work settings. Physicians in Cluster 1 "Cardiac" (N = 92) were more likely to focus on cardiac issues compared with their counterparts; physicians in Cluster 2 "Talkers" (N = 93) were more likely to give advice and take additional medical history; whereas physicians in Cluster 3 "Minimalists" (N = 71) were less likely than their counterparts to take action on any of the types of management behavior. Variations in styles of decision making, which encompass multiple outcome variables and extend beyond individual-level demographic predictors, may add to our understanding of disparities in health quality and outcomes. © Health Research and Educational Trust.

Predicting protein function and other biomedical characteristics with heterogeneous ensembles

PubMed Central

Whalen, Sean; Pandey, Om Prakash

2015-01-01

Prediction problems in biomedical sciences, including protein function prediction (PFP), are generally quite difficult. This is due in part to incomplete knowledge of the cellular phenomenon of interest, the appropriateness and data quality of the variables and measurements used for prediction, as well as a lack of consensus regarding the ideal predictor for specific problems. In such scenarios, a powerful approach to improving prediction performance is to construct heterogeneous ensemble predictors that combine the output of diverse individual predictors that capture complementary aspects of the problems and/or datasets. In this paper, we demonstrate the potential of such heterogeneous ensembles, derived from stacking and ensemble selection methods, for addressing PFP and other similar biomedical prediction problems. Deeper analysis of these results shows that the superior predictive ability of these methods, especially stacking, can be attributed to their attention to the following aspects of the ensemble learning process: (i) better balance of diversity and performance, (ii) more effective calibration of outputs and (iii) more robust incorporation of additional base predictors. Finally, to make the effective application of heterogeneous ensembles to large complex datasets (big data) feasible, we present DataSink, a distributed ensemble learning framework, and demonstrate its sound scalability using the examined datasets. DataSink is publicly available from https://github.com/shwhalen/datasink. PMID:26342255

Proceedings of the Meeting of the Coordinating Group on Modern Control Theory (3rd) (20-21 October 1981) US Army Missile Command, Redstone Arsenal, AL. Part I

DTIC Science & Technology

1981-11-01

Systems Direc- "torate, Gen. Thomas J. Rodman Laboratory, Rock Island, IL, June 1976. 93 Next page is blank. _ _l7 - " - ON DESIGNING ROBUST PREDICTORS...34Optimal Terminal Guidance with Constraints at Final Time" Journal of Spacecraft and Rockets, Vol 14, No. 6, June 77, pp 381-383 [7] Adler , F. P. "Missile

Attentional Predictors of 5-month-olds' Performance on a Looking A-not-B Task.

PubMed

Marcovitch, Stuart; Clearfield, Melissa W; Swingler, Margaret; Calkins, Susan D; Bell, Martha Ann

2016-01-01

In the first year of life, the ability to search for hidden objects is an indicator of object permanence and, when multiple locations are involved, executive function (i.e. inhibition, cognitive flexibility and working memory). The current study was designed to examine attentional predictors of search in 5-month-old infants (as measured by the looking A-not-B task), and whether levels of maternal education moderated the effect of the predictors. Specifically, in a separate task, the infants were shown a unique puppet, and we measured the percentage of time attending to the puppet, as well as the length of the longest look (i.e., peak fixation) directed towards the puppet. Across the entire sample ( N =390), the percentage of time attending to the puppet was positively related to performance on the visual A-not-B task. However, for infants whose mothers had not completed college, having a shorter peak looking time (after controlling for percentage of time) was also a predictor of visual A-not-B performance. The role of attention, peak fixation and maternal education in visual search is discussed.

Attentional Predictors of 5-month-olds’ Performance on a Looking A-not-B Task†

PubMed Central

Marcovitch, Stuart; Clearfield, Melissa W.; Swingler, Margaret; Calkins, Susan D.; Bell, Martha Ann

2015-01-01

In the first year of life, the ability to search for hidden objects is an indicator of object permanence and, when multiple locations are involved, executive function (i.e. inhibition, cognitive flexibility and working memory). The current study was designed to examine attentional predictors of search in 5-month-old infants (as measured by the looking A-not-B task), and whether levels of maternal education moderated the effect of the predictors. Specifically, in a separate task, the infants were shown a unique puppet, and we measured the percentage of time attending to the puppet, as well as the length of the longest look (i.e., peak fixation) directed towards the puppet. Across the entire sample (N =390), the percentage of time attending to the puppet was positively related to performance on the visual A-not-B task. However, for infants whose mothers had not completed college, having a shorter peak looking time (after controlling for percentage of time) was also a predictor of visual A-not-B performance. The role of attention, peak fixation and maternal education in visual search is discussed. PMID:27642263

Solutions to inverse plume in a crosswind problem using a predictor - corrector method

NASA Astrophysics Data System (ADS)

Vanderveer, Joseph; Jaluria, Yogesh

2013-11-01

Investigation for minimalist solutions to the inverse convection problem of a plume in a crosswind has developed a predictor - corrector method. The inverse problem is to predict the strength and location of the plume with respect to a select few downstream sampling points. This is accomplished with the help of two numerical simulations of the domain at differing source strengths, allowing the generation of two inverse interpolation functions. These functions in turn are utilized by the predictor step to acquire the plume strength. Finally, the same interpolation functions with the corrections from the plume strength are used to solve for the plume location. Through optimization of the relative location of the sampling points, the minimum number of samples for accurate predictions is reduced to two for the plume strength and three for the plume location. After the optimization, the predictor-corrector method demonstrates global uniqueness of the inverse solution for all test cases. The solution error is less than 1% for both plume strength and plume location. The basic approach could be extended to other inverse convection transport problems, particularly those encountered in environmental flows.

Sequential Prediction of Literacy Achievement for Specific Learning Disabilities Contrasting in Impaired Levels of Language in Grades 4 to 9

PubMed Central

Sanders, Elizabeth A.; Berninger, Virginia W.; Abbott, Robert D.

2017-01-01

Sequential regression was used to evaluate whether language-related working memory components uniquely predict reading and writing achievement beyond cognitive-linguistic translation for students in grades 4–9 (N=103) with specific learning disabilities (SLDs) in subword handwriting (dysgraphia, n=25), word reading and spelling (dyslexia, n=60), or oral and written language (OWL LD, n=18). That is, SLDs are defined on basis of cascading level of language impairment (subword, word, and syntax/text). A 5-block regression model sequentially predicted literacy achievement from cognitive-linguistic translation (Block 1); working memory components for word form coding (Block 2), phonological and orthographic loops (Block 3), and supervisory focused or switching attention (Block4); and SLD groups (Block 5). Results showed that cognitive-linguistic translation explained an average of 27% and 15% of the variance in reading and writing achievement, respectively, but working memory components explained an additional 39% and 27% variance. Orthographic word form coding uniquely predicted nearly every measure, whereas attention switching only uniquely predicted reading. Finally, differences in reading and writing persisted between dyslexia and dysgraphia, with dysgraphia higher, even after controlling for Block 1 to 4 predictors. Differences in literacy achievement between students with dyslexia and OWL LD were largely explained by the Block 1 predictors. Applications to identifying and teaching students with these SLDs are discussed. PMID:28199175

Unique Contributions of Fathering to Emerging Self-Regulation in Low-Income Ethnic Minority Preschoolers

ERIC Educational Resources Information Center

Owen, Margaret Tresch; Caughy, Margaret O'Brien; Hurst, Jamie R.; Amos, Melissa; Hasanizadeh, Nazly; Mata-Otero, Ana-Maria

2013-01-01

Self-regulation ability is an important component of school readiness and predictor of academic success, but few studies of self-regulation examine contributions of fathering to the emergence of self-regulation in low-income ethnic minority preschoolers. Associations were examined between parental child-oriented parenting support and preschoolers'…

Long-Term Autobiographical Memory for Legal Involvement: Individual and Sociocontextual Predictors

ERIC Educational Resources Information Center

Quas, Jodi A.; Alexander, Kristen Weede; Goodman, Gail S.; Ghetti, Simona; Edelstein, Robin S.; Redlich, Allison

2010-01-01

We examined adults' long-term autobiographical memory for a dramatic life event-participating as a child victim in a criminal prosecution because of alleged sexual abuse. The study is unique in several ways, including that we had extensive documentation concerning the sexual abuse allegations, the children's involvement in their legal case, and…

Emotional Maltreatment, Peer Victimization, and Depressive versus Anxiety Symptoms during Adolescence: Hopelessness as a Mediator

ERIC Educational Resources Information Center

Hamilton, Jessica L.; Shapero, Benjamin G.; Stange, Jonathan P.; Hamlat, Elissa J.; Abramson, Lyn Y.; Alloy, Lauren B.

2013-01-01

Extensive comorbidity between depression and anxiety has driven research to identify unique and shared risk factors. This study prospectively examined the specificity of three interpersonal stressors (emotional abuse, emotional neglect, and relationally oriented peer victimization) as predictors of depressive versus anxiety symptoms in a racially…

Predictors of Externalizing Behavior Problems in Early Elementary-Aged Children: The Role of Family and Home Environments

ERIC Educational Resources Information Center

Price, Joseph M.; Chiapa, Amanda; Walsh, Natalia Escobar

2013-01-01

As children enter elementary school they display behavioral orientations that reveal potential developmental trajectories. Developmental transitions offer unique opportunities for examining developmental pathways and the factors that influence emerging pathways. The primary goal of this investigation was to examine characteristics of family and…

Individual, Familial, Friends-Related and Contextual Predictors of Early Sexual Intercourse

ERIC Educational Resources Information Center

Boislard P., Marie-Aude; Poulin, Francois

2011-01-01

This study examined the unique and simultaneous contribution of adolescents' characteristics, parent-child relationship and friends' characteristics on early sexual intercourse, while accounting for family status. A longitudinal multi-sample design was used. The first sample was recruited in a suburban context (n = 265; 62% girls) and the second…

Behavioral Problems in Childhood and Adolescence as Predictors of Ego-Level Attainment in Early Adulthood.

ERIC Educational Resources Information Center

Krettenauer, Tobias; Ullrich, Manuela; Hofmann, Volker; Edelstein, Wolfgang

2003-01-01

Examined how externalizing as well as internalizing behavioral problems in childhood and adolescence predict young adults' personalities as represented by Loevinger's (1976) model of ego development. Demonstrated that behavioral problems in childhood and adolescence predict young adults' ego-level attainment in unique and meaningful ways.…

Self-Monitoring Strategies as a Unique Predictor of Latino Male Student Achievement

ERIC Educational Resources Information Center

Covarrubias, Rebecca; Stone, Jeff

2015-01-01

We examined how self-monitoring (i.e., regulating one's behaviors; Snyder, 1987) relates to Latino male achievement. In Study 1, college students (N = 413) completed self-monitoring items and reported SAT math scores. As hypothesized, self-monitoring was positively correlated with achievement for Latino male students but was unrelated to…

Noncognitive Predictors of Academic Performance and Persistence in Horizontal and Vertical Transfer Students by Academic Level

ERIC Educational Resources Information Center

Davis, Christopher A.

2010-01-01

College students increasingly are transferring among institutions of higher education in pursuit of their educational goals. The existing research on transfer students, however, does not adequately explore the unique characteristics of this heterogeneous population. The literature on transfer students suggests that transfer students are at-risk…

Flourishing: Exploring Predictors of Mental Health within the College Environment

ERIC Educational Resources Information Center

Fink, John E.

2014-01-01

Objective: To explore the predictive factors of student mental health within the college environment. Participants: Students enrolled at 7 unique universities during years 2008 (n = 1,161) and 2009 (n = 1,459). Methods: Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment.…

Noninstructional Spending Improves Noncognitive Outcomes: Discontinuity Evidence from a Unique Elementary School Counselor Financing System

ERIC Educational Resources Information Center

Reback, Randall

2010-01-01

Children's noncognitive skills, mental health, and behavior are important predictors of future earnings and educational attainment. Their behavior in the classroom also affects their peers' behavior and achievement. There is limited prior evidence, however, concerning the impact of school resources on student behavior. Some elementary schools…

Delay in disclosure of non-parental child sexual abuse in the context of emotional and physical maltreatment: A pilot study.

PubMed

Tashjian, Sarah M; Goldfarb, Deborah; Goodman, Gail S; Quas, Jodi A; Edelstein, Robin

2016-08-01

The present pilot study sought to identify predictors of delays in child sexual abuse (CSA) disclosure, specifically whether emotional and physical abuse by a parental figure contributes to predicting delays over and above other important victim factors. Alleged CSA victims (N=79), whose parental figures were not the purported sexual abuse perpetrators, were interviewed and their case files reviewed, across two waves of a longitudinal study. Regression analyses indicated that experiencing both emotional and physical abuse by a parental figure was uniquely predictive of longer delays in disclosure of CSA perpetrated by someone other than a parental figure. Victim-CSA perpetrator relationship type and sexual abuse duration also significantly predicted CSA disclosure delay, whereas victim age at the time of the police report, victim gender, and victims' feelings of complicity were not significant unique predictors. Child abuse victims' expectations of lack of parental support may underlie these findings. Parent-child relationships are likely crucial to timely disclosure of CSA, even when a parent is not the CSA perpetrator. Copyright © 2016 Elsevier Ltd. All rights reserved.

Early Identification of Reading Comprehension Difficulties.

PubMed

Catts, Hugh W; Nielsen, Diane Corcoran; Bridges, Mindy Sittner; Liu, Yi-Syuan

2016-09-01

Most research on early identification of reading disabilities has focused on word reading problems and little attention has been given to reading comprehension difficulties. In this study, we investigated whether measures of language ability and/or response to language intervention in kindergarten uniquely predicted reading comprehension difficulties in third grade. A total of 366 children were administered a battery of screening measures at the beginning of kindergarten and progress monitoring probes across the school year. A subset of children also received a 26-week Tier 2 language intervention. Participants' achievement in word reading was assessed at the end of second grade, and their performance in reading comprehension was measured as the end of third grade. Results showed that measures of language ability in kindergarten significantly added to the prediction of reading comprehension difficulties over and above kindergarten word reading predictors and direct measures of word reading in second grade. Response to language intervention also proved to be a unique predictor of reading comprehension outcomes. Findings are discussed in terms of their relevance for the early identification of reading disabilities. © Hammill Institute on Disabilities 2014.

Predicting nurses' acceptance of radiofrequency identification technology.

PubMed

Norten, Adam

2012-10-01

The technology of radiofrequency identification allows for the scanning of radiofrequency identification-tagged objects and individuals without line-of-sight requirements. Healthcare organizations use radiofrequency identification to ensure the health and safety of patients and medical personnel and to uncover inefficiencies. Although the successful implementation of a system incorporating radiofrequency identification technologies requires acceptance and use of the technology, some nurses using radiofrequency identification in hospitals feel like "Big Brother" is watching them. This predictive study used a theoretical model assessing the effect of five independent variables: privacy concerns, attitudes, subjective norms, controllability, and self-efficacy, on a dependent variable, nurses' behavioral intention to use radiofrequency identification. A Web-based questionnaire containing previously validated questions was answered by 106 US RNs. Multiple linear regression showed that all constructs together accounted for 60% of the variance in nurses' intention to use radiofrequency identification. Of the predictors in the model, attitudes provided the largest unique contribution when the other predictors in the model were held constant; subjective norms also provided a unique contribution. Privacy concerns, controllability, and self-efficacy did not provide a significant contribution to nurses' behavioral intention to use radiofrequency identification.

Predictors of effects of lifestyle intervention on diabetes mellitus type 2 patients.

PubMed

Jacobsen, Ramune; Vadstrup, Eva; Røder, Michael; Frølich, Anne

2012-01-01

The main aim of the study was to identify predictors of the effects of lifestyle intervention on diabetes mellitus type 2 patients by means of multivariate analysis. Data from a previously published randomised clinical trial, which compared the effects of a rehabilitation programme including standardised education and physical training sessions in the municipality's health care centre with the same duration of individual counseling in the diabetes outpatient clinic, were used. Data from 143 diabetes patients were analysed. The merged lifestyle intervention resulted in statistically significant improvements in patients' systolic blood pressure, waist circumference, exercise capacity, glycaemic control, and some aspects of general health-related quality of life. The linear multivariate regression models explained 45% to 80% of the variance in these improvements. The baseline outcomes in accordance to the logic of the regression to the mean phenomenon were the only statistically significant and robust predictors in all regression models. These results are important from a clinical point of view as they highlight the more urgent need for and better outcomes following lifestyle intervention for those patients who have worse general and disease-specific health.

Psychosocial variables and time to injury onset: a hurdle regression analysis model.

PubMed

Sibold, Jeremy; Zizzi, Samuel

2012-01-01

Psychological variables have been shown to be related to athletic injury and time missed from participation in sport. We are unaware of any empirical examination of the influence of psychological variables on time to onset of injury. To examine the influence of orthopaedic and psychosocial variables on time to injury in college athletes. One hundred seventy-seven (men 5 116, women 5 61; age 5 19.45 6 1.39 years) National Collegiate Athletic Association Division II athletes. Hurdle regression analysis (HRA) was used to determine the influence of predictor variables on days to first injury. Worry (z = 2.98, P = .003), concentration disruption (z = -3.95, P < .001), and negative life-event stress (z = 5.02, P < .001) were robust predictors of days to injury. Orthopaedic risk score was not a predictor (z = 1.28, P = .20). These findings support previous research on the stress-injury relationship, and our group is the first to use HRA in athletic injury data. These data support the addition of psychological screening as part of preseason health examinations for collegiate athletes.

Child and Adolescent Adherence With Cognitive Behavioral Therapy for Anxiety: Predictors and Associations With Outcomes.

PubMed

Lee, Phyllis; Zehgeer, Asima; Ginsburg, Golda S; McCracken, James; Keeton, Courtney; Kendall, Philip C; Birmaher, Boris; Sakolsky, Dara; Walkup, John; Peris, Tara; Albano, Anne Marie; Compton, Scott

2017-04-27

Cognitive behavioral therapy (CBT) for anxiety disorders is effective, but nonadherence with treatment may reduce the benefits of CBT. This study examined (a) four baseline domains (i.e., demographic, youth clinical characteristics, therapy related, family/parent factors) as predictors of youth adherence with treatment and (b) the associations between youth adherence and treatment outcomes. Data were from 279 youth (7-17 years of age, 51.6% female; 79.6% White, 9% African American), with Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.) diagnoses of separation anxiety disorder, generalized anxiety disorder, and/or social phobia, who participated in CBT in the Child/Adolescent Anxiety Multimodal Study. Adherence was defined in three ways (session attendance, therapist-rated compliance, and homework completion). Multiple regressions revealed several significant predictors of youth adherence with CBT, but predictors varied according to the definition of adherence. The most robust predictors of greater adherence were living with both parents and fewer youth comorbid externalizing disorders. With respect to outcomes, therapist ratings of higher youth compliance with CBT predicted several indices of favorable outcome: lower anxiety severity, higher global functioning, and treatment responder status after 12 weeks of CBT. Number of sessions attended and homework completion did not predict treatment outcomes. Findings provide information about risks for youth nonadherence, which can inform treatment and highlight the importance of youth compliance with participating in therapy activities, rather than just attending sessions or completing homework assignments.

Moderation analysis with missing data in the predictors.

PubMed

Zhang, Qian; Wang, Lijuan

2017-12-01

The most widely used statistical model for conducting moderation analysis is the moderated multiple regression (MMR) model. In MMR modeling, missing data could pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a nonlinear function of the involved variables. In this study, we consider a simple MMR model, where the effect of the focal predictor X on the outcome Y is moderated by a moderator U. The primary interest is to find ways of estimating and testing the moderation effect with the existence of missing data in X. We mainly focus on cases when X is missing completely at random (MCAR) and missing at random (MAR). Three methods are compared: (a) Normal-distribution-based maximum likelihood estimation (NML); (b) Normal-distribution-based multiple imputation (NMI); and (c) Bayesian estimation (BE). Via simulations, we found that NML and NMI could lead to biased estimates of moderation effects under MAR missingness mechanism. The BE method outperformed NMI and NML for MMR modeling with missing data in the focal predictor, missingness depending on the moderator and/or auxiliary variables, and correctly specified distributions for the focal predictor. In addition, more robust BE methods are needed in terms of the distribution mis-specification problem of the focal predictor. An empirical example was used to illustrate the applications of the methods with a simple sensitivity analysis. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Dynamic assembly of ultrasoft colloidal networks enables cell invasion within restrictive fibrillar polymers

PubMed Central

Douglas, Alison M.; Fragkopoulos, Alexandros A.; Gaines, Michelle K.; Lyon, L. Andrew; Fernandez-Nieves, Alberto

2017-01-01

In regenerative medicine, natural protein-based polymers offer enhanced endogenous bioactivity and potential for seamless integration with tissue, yet form weak hydrogels that lack the physical robustness required for surgical manipulation, making them difficult to apply in practice. The use of higher concentrations of protein, exogenous cross-linkers, and blending synthetic polymers has all been applied to form more mechanically robust networks. Each relies on generating a smaller network mesh size, which increases the elastic modulus and robustness, but critically inhibits cell spreading and migration, hampering tissue regeneration. Here we report two unique observations; first, that colloidal suspensions, at sufficiently high volume fraction (ϕ), dynamically assemble into a fully percolated 3D network within high-concentration protein polymers. Second, cells appear capable of leveraging these unique domains for highly efficient cell migration throughout the composite construct. In contrast to porogens, the particles in our system remain embedded within the bulk polymer, creating a network of particle-filled tunnels. Whereas this would normally physically restrict cell motility, when the particulate network is created using ultralow cross-linked microgels, the colloidal suspension displays viscous behavior on the same timescale as cell spreading and migration and thus enables efficient cell infiltration of the construct through the colloidal-filled tunnels. PMID:28100492

Dynamic assembly of ultrasoft colloidal networks enables cell invasion within restrictive fibrillar polymers

NASA Astrophysics Data System (ADS)

Douglas, Alison M.; Fragkopoulos, Alexandros A.; Gaines, Michelle K.; Lyon, L. Andrew; Fernandez-Nieves, Alberto; Barker, Thomas H.

2017-01-01

In regenerative medicine, natural protein-based polymers offer enhanced endogenous bioactivity and potential for seamless integration with tissue, yet form weak hydrogels that lack the physical robustness required for surgical manipulation, making them difficult to apply in practice. The use of higher concentrations of protein, exogenous cross-linkers, and blending synthetic polymers has all been applied to form more mechanically robust networks. Each relies on generating a smaller network mesh size, which increases the elastic modulus and robustness, but critically inhibits cell spreading and migration, hampering tissue regeneration. Here we report two unique observations; first, that colloidal suspensions, at sufficiently high volume fraction (ϕ), dynamically assemble into a fully percolated 3D network within high-concentration protein polymers. Second, cells appear capable of leveraging these unique domains for highly efficient cell migration throughout the composite construct. In contrast to porogens, the particles in our system remain embedded within the bulk polymer, creating a network of particle-filled tunnels. Whereas this would normally physically restrict cell motility, when the particulate network is created using ultralow cross-linked microgels, the colloidal suspension displays viscous behavior on the same timescale as cell spreading and migration and thus enables efficient cell infiltration of the construct through the colloidal-filled tunnels.

Shared and Unique Risk Factors Underlying Mathematical Disability and Reading and Spelling Disability.

PubMed

Slot, Esther M; van Viersen, Sietske; de Bree, Elise H; Kroesbergen, Evelyn H

2016-01-01

High comorbidity rates have been reported between mathematical learning disabilities (MD) and reading and spelling disabilities (RSD). Research has identified skills related to math, such as number sense (NS) and visuospatial working memory (visuospatial WM), as well as to literacy, such as phonological awareness (PA), rapid automatized naming (RAN) and verbal short-term memory (Verbal STM). In order to explain the high comorbidity rates between MD and RSD, 7-11-year-old children were assessed on a range of cognitive abilities related to literacy (PA, RAN, Verbal STM) and mathematical ability (visuospatial WM, NS). The group of children consisted of typically developing (TD) children (n = 32), children with MD (n = 26), children with RSD (n = 29), and combined MD and RSD (n = 43). It was hypothesized that, in line with the multiple deficit view on learning disorders, at least one unique predictor for both MD and RSD and a possible shared cognitive risk factor would be found to account for the comorbidity between the symptom dimensions literacy and math. Secondly, our hypotheses were that (a) a probabilistic multi-factorial risk factor model would provide a better fit to the data than a deterministic single risk factor model and (b) that a shared risk factor model would provide a better fit than the specific multi-factorial model. All our hypotheses were confirmed. NS and visuospatial WM were identified as unique cognitive predictors for MD, whereas PA and RAN were both associated with RSD. Also, a shared risk factor model with PA as a cognitive predictor for both RSD and MD fitted the data best, indicating that MD and RSD might co-occur due to a shared underlying deficit in phonological processing. Possible explanations are discussed in the context of sample selection and composition. This study shows that different cognitive factors play a role in mathematics and literacy, and that a phonological processing deficit might play a role in the occurrence of MD and RSD.

Multi-tissue DNA methylation age predictor in mouse.

PubMed

Stubbs, Thomas M; Bonder, Marc Jan; Stark, Anne-Katrien; Krueger, Felix; von Meyenn, Ferdinand; Stegle, Oliver; Reik, Wolf

2017-04-11

DNA methylation changes at a discrete set of sites in the human genome are predictive of chronological and biological age. However, it is not known whether these changes are causative or a consequence of an underlying ageing process. It has also not been shown whether this epigenetic clock is unique to humans or conserved in the more experimentally tractable mouse. We have generated a comprehensive set of genome-scale base-resolution methylation maps from multiple mouse tissues spanning a wide range of ages. Many CpG sites show significant tissue-independent correlations with age which allowed us to develop a multi-tissue predictor of age in the mouse. Our model, which estimates age based on DNA methylation at 329 unique CpG sites, has a median absolute error of 3.33 weeks and has similar properties to the recently described human epigenetic clock. Using publicly available datasets, we find that the mouse clock is accurate enough to measure effects on biological age, including in the context of interventions. While females and males show no significant differences in predicted DNA methylation age, ovariectomy results in significant age acceleration in females. Furthermore, we identify significant differences in age-acceleration dependent on the lipid content of the diet. Here we identify and characterise an epigenetic predictor of age in mice, the mouse epigenetic clock. This clock will be instrumental for understanding the biology of ageing and will allow modulation of its ticking rate and resetting the clock in vivo to study the impact on biological age.

Media multitasking is associated with symptoms of depression and social anxiety.

PubMed

Becker, Mark W; Alzahabi, Reem; Hopwood, Christopher J

2013-02-01

We investigated whether multitasking with media was a unique predictor of depression and social anxiety symptoms. Participants (N=318) completed measures of their media use, personality characteristics, depression, and social anxiety. Regression analyses revealed that increased media multitasking was associated with higher depression and social anxiety symptoms, even after controlling for overall media use and the personality traits of neuroticism and extraversion. The unique association between media multitasking and these measures of psychosocial dysfunction suggests that the growing trend of multitasking with media may represent a unique risk factor for mental health problems related to mood and anxiety. Further, the results strongly suggest that future research investigating the impact of media use on mental health needs to consider the role that multitasking with media plays in the relationship.

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.

2013-10-01

Statistical downscaling is widely used to overcome the scale gap between predictors from numerical weather prediction models or global circulation models and predictands like local precipitation, required for example for medium-term operational forecasts or climate change impact studies. The predictors are considered over a given spatial domain which is rarely optimised with respect to the target predictand location. In this study, an extended version of the growing rectangular domain algorithm is proposed to provide an ensemble of near-optimum predictor domains for a statistical downscaling method. This algorithm is applied to find five-member ensembles of near-optimum geopotential predictor domains for an analogue downscaling method for 608 individual target zones covering France. Results first show that very similar downscaling performances based on the continuous ranked probability score (CRPS) can be achieved by different predictor domains for any specific target zone, demonstrating the need for considering alternative domains in this context of high equifinality. A second result is the large diversity of optimised predictor domains over the country that questions the commonly made hypothesis of a common predictor domain for large areas. The domain centres are mainly distributed following the geographical location of the target location, but there are apparent differences between the windward and the lee side of mountain ridges. Moreover, domains for target zones located in southeastern France are centred more east and south than the ones for target locations on the same longitude. The size of the optimised domains tends to be larger in the southeastern part of the country, while domains with a very small meridional extent can be found in an east-west band around 47° N. Sensitivity experiments finally show that results are rather insensitive to the starting point of the optimisation algorithm except for zones located in the transition area north of this east-west band. Results also appear generally robust with respect to the archive length considered for the analogue method, except for zones with high interannual variability like in the Cévennes area. This study paves the way for defining regions with homogeneous geopotential predictor domains for precipitation downscaling over France, and therefore de facto ensuring the spatial coherence required for hydrological applications.

A metric for quantifying El Niño pattern diversity with implications for ENSO-mean state interaction

NASA Astrophysics Data System (ADS)

Lemmon, Danielle E.; Karnauskas, Kristopher B.

2018-04-01

Recent research on the El Niño-Southern Oscillation (ENSO) phenomenon increasingly reveals the highly complex and diverse nature of ENSO variability. A method of quantifying ENSO spatial pattern uniqueness and diversity is presented, which enables (1) formally distinguishing between unique and "canonical" El Niño events, (2) testing whether historical model simulations aptly capture ENSO diversity by comparing with instrumental observations, (3) projecting future ENSO diversity using future model simulations, (4) understanding the dynamics that give rise to ENSO diversity, and (5) analyzing the associated diversity of ENSO-related atmospheric teleconnection patterns. Here we develop a framework for measuring El Niño spatial SST pattern uniqueness and diversity for a given set of El Niño events using two indices, the El Niño Pattern Uniqueness (EPU) index and El Niño Pattern Diversity (EPD) index, respectively. By applying this framework to instrumental records, we independently confirm a recent regime shift in El Niño pattern diversity with an increase in unique El Niño event sea surface temperature patterns. However, the same regime shift is not observed in historical CMIP5 model simulations; moreover, a comparison between historical and future CMIP5 model scenarios shows no robust change in future ENSO diversity. Finally, we support recent work that asserts a link between the background cooling of the eastern tropical Pacific and changes in ENSO diversity. This robust link between an eastern Pacific cooling mode and ENSO diversity is observed not only in instrumental reconstructions and reanalysis, but also in historical and future CMIP5 model simulations.

Predicting PDZ domain mediated protein interactions from structure

PubMed Central

2013-01-01

Background PDZ domains are structural protein domains that recognize simple linear amino acid motifs, often at protein C-termini, and mediate protein-protein interactions (PPIs) in important biological processes, such as ion channel regulation, cell polarity and neural development. PDZ domain-peptide interaction predictors have been developed based on domain and peptide sequence information. Since domain structure is known to influence binding specificity, we hypothesized that structural information could be used to predict new interactions compared to sequence-based predictors. Results We developed a novel computational predictor of PDZ domain and C-terminal peptide interactions using a support vector machine trained with PDZ domain structure and peptide sequence information. Performance was estimated using extensive cross validation testing. We used the structure-based predictor to scan the human proteome for ligands of 218 PDZ domains and show that the predictions correspond to known PDZ domain-peptide interactions and PPIs in curated databases. The structure-based predictor is complementary to the sequence-based predictor, finding unique known and novel PPIs, and is less dependent on training–testing domain sequence similarity. We used a functional enrichment analysis of our hits to create a predicted map of PDZ domain biology. This map highlights PDZ domain involvement in diverse biological processes, some only found by the structure-based predictor. Based on this analysis, we predict novel PDZ domain involvement in xenobiotic metabolism and suggest new interactions for other processes including wound healing and Wnt signalling. Conclusions We built a structure-based predictor of PDZ domain-peptide interactions, which can be used to scan C-terminal proteomes for PDZ interactions. We also show that the structure-based predictor finds many known PDZ mediated PPIs in human that were not found by our previous sequence-based predictor and is less dependent on training–testing domain sequence similarity. Using both predictors, we defined a functional map of human PDZ domain biology and predict novel PDZ domain function. Users may access our structure-based and previous sequence-based predictors at http://webservice.baderlab.org/domains/POW. PMID:23336252

A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

PubMed

Singh, Karandeep; Betensky, Rebecca A; Wright, Adam; Curhan, Gary C; Bates, David W; Waikar, Sushrut S

2016-12-07

Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. We used natural language processing tools to extract concepts from the preceding year's clinical notes among patients newly referred to a tertiary care center's outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high-dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. Copyright © 2016 by the American Society of Nephrology.

Which neuropsychological functions predict various processing speed components in children with and without attention-deficit/hyperactivity disorder?

PubMed

Vadnais, Sarah A; Kibby, Michelle Y; Jagger-Rickels, Audreyana C

2018-01-01

We identified statistical predictors of four processing speed (PS) components in a sample of 151 children with and without attention-deficit/hyperactivity disorder (ADHD). Performance on perceptual speed was predicted by visual attention/short-term memory, whereas incidental learning/psychomotor speed was predicted by verbal working memory. Rapid naming was predictive of each PS component assessed, and inhibition predicted all but one task, suggesting a shared need to identify/retrieve stimuli rapidly and inhibit incorrect responding across PS components. Hence, we found both shared and unique predictors of perceptual, cognitive, and output speed, suggesting more specific terminology should be used in future research on PS in ADHD.

Gratifications, collective self-esteem, online emotional openness, and traitlike communication apprehension as predictors of Facebook uses.

PubMed

Zhang, Yin; Tang, Leo Shing-Tung; Leung, Louis

2011-12-01

This study explores whether and how gratifications and psychological traits impact people's Facebook use. First, a factor analysis of an online survey (N= 437) outlined a unique set of gratifications obtained from the use of Facebook. Six aspects of gratifications (i.e., social surveillance, entertainment, recognition, emotional support, network extension, and maintenance) were identified. Results from regression analyses showed that psychological traits (i.e., collective self-esteem, online emotional openness, and traitlike communication apprehension) were strong predictors of most Facebook gratifications. Additionally, gratifications and, to a lesser extent, psychological traits significantly predicted Facebook usage, both in perceived importance and different indicators in the level of Facebook use.

Physiological Reactivity to Psychological Stress in Human Pregnancy: Current Knowledge and Future Directions

PubMed Central

Christian, Lisa M.

2012-01-01

Cardiovascular and neuroendocrine reactivity to acute stress are important predictors of health outcomes in non-pregnant populations. Greater magnitude and duration of physiological responses have been associated with increased risk of hypertensive disorders and diabetes, greater susceptibility to infectious illnesses, suppression of cell-mediated immunity as well as risk for depression and anxiety disorders. Stress reactivity during pregnancy has unique implications for maternal health, birth outcomes, and fetal development. However, as compared to the larger literature, our understanding of the predictors and consequences of exaggerated stress reactivity in pregnancy is limited. This paper reviews the current state of this literature with an emphasis on gaps in knowledge and future directions. PMID:22800930

Effortful Control and Impulsivity as Concurrent and Longitudinal Predictors of Academic Achievement

ERIC Educational Resources Information Center

Valiente, Carlos; Eisenberg, Nancy; Spinrad, Tracy L.; Haugen, Rg; Thompson, Marilyn S.; Kupfer, Anne

2013-01-01

The goal of this study was to test if both effortful control (EC) and impulsivity, a reactive index of temperament, uniquely predict adolescents' academic achievement, concurrently and longitudinally (Time 1: "N" = 168, X-bar[subscript age] = 12 years). At Time 1, parents and teachers reported on students' EC and impulsivity.…

Are Career Centers Worthwhile?: Predicting Unique Variance in Career Outcomes through Career Center Usage

ERIC Educational Resources Information Center

Brotheridge, Celeste M.; Power, Jacqueline L.

2008-01-01

Purpose: This study seeks to examine the extent to which the use of career center services results in the significant incremental prediction of career outcomes beyond its established predictors. Design/methodology/approach: The authors survey the clients of a public agency's career center and use hierarchical multiple regressions in order to…

Academic and Athletic Motivation as Predictors of Academic Performance of Division I College Student-Athletes

ERIC Educational Resources Information Center

Carter, Christina Michelle

2012-01-01

Division I intercollegiate student-athletes represent a unique population of college students on college campuses today because they face competing demands between the student and athlete roles. Without the proper environment and motivation for academic performance, some Division I student-athletes are unable to obtain a college degree and leave…

Conventional and Piecewise Growth Modeling Techniques: Applications and Implications for Investigating Head Start Children's Early Literacy Learning

ERIC Educational Resources Information Center

Hindman, Annemarie H.; Cromley, Jennifer G.; Skibbe, Lori E.; Miller, Alison L.

2011-01-01

This article reviews the mechanics of conventional and piecewise growth models to demonstrate the unique affordances of each technique for examining the nature and predictors of children's early literacy learning during the transition from preschool through first grade. Using the nationally representative Family and Child Experiences Survey…

Acculturation and Hope as Predictors of Career Decision Self-Efficacy among Korean International Undergraduate Students

ERIC Educational Resources Information Center

In, Hyoyeon

2016-01-01

This study examined the role of acculturation to the host culture, acculturation to the home culture, and dispositional hope in career decision self-efficacy (CDSE) in a sample of 213 Korean international undergraduate students enrolled in U.S. universities. The findings revealed that hope and acculturation to the host culture uniquely and…

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

ERIC Educational Resources Information Center

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

2015-01-01

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

Predictors of Coping Strategies among Nursing College Students at AL-Zaytoonah University of Jordan

ERIC Educational Resources Information Center

Yehia, Dalal Bashir Moh'd; Jacoub, Shirooq M.; Eser, Seqlia Mohammad

2016-01-01

Background: Stress is a phenomenon faced by all individuals that show symptoms of vulnerability in physical, functional and social impairment as well as there is a unique ways to cope with these symptoms. Nursing students face many stressors during their academic period which influence their personality and academic performance. Objectives: The…

Poverty as a Predictor of 4-Year-Olds' Executive Function: New Perspectives on Models of Differential Susceptibility

ERIC Educational Resources Information Center

Raver, C. Cybele; Blair, Clancy; Willoughby, Michael

2013-01-01

In a predominantly low-income, population-based longitudinal sample of 1,259 children followed from birth, results suggest that chronic exposure to poverty and the strains of financial hardship were each uniquely predictive of young children's performance on measures of executive functioning. Results suggest that temperament-based vulnerability…

Leveraging Leadership Efficacy for College Students: Disaggregating Data to Examine Unique Predictors by Race

ERIC Educational Resources Information Center

Kodama, Corinne M.; Dugan, John P.

2013-01-01

Cultivating leaders who are prepared to tackle complex social issues is positioned as a critical outcome of higher education and a tool for diversification of the workforce. Both leadership studies literature and leadership development practice, however, are negligent in the attention directed at understanding the role of social identity in…

The Impact of Visual-Spatial Attention on Reading and Spelling in Chinese Children

ERIC Educational Resources Information Center

Liu, Duo; Chen, Xi; Wang, Ying

2016-01-01

The present study investigated the associations of visual-spatial attention with word reading fluency and spelling in 92 third grade Hong Kong Chinese children. Word reading fluency was measured with a timed reading task whereas spelling was measured with a dictation task. Results showed that visual-spatial attention was a unique predictor of…

Multivariate Models of Parent-Late Adolescent Gender Dyads: The Importance of Parenting Processes in Predicting Adjustment

ERIC Educational Resources Information Center

McKinney, Cliff; Renk, Kimberly

2008-01-01

Although parent-adolescent interactions have been examined, relevant variables have not been integrated into a multivariate model. As a result, this study examined a multivariate model of parent-late adolescent gender dyads in an attempt to capture important predictors in late adolescents' important and unique transition to adulthood. The sample…

Perceived Neighborhood Risk as a Predictor of Drug Use among Urban Ethnic Minority Adolescents: Moderating Influences of Psychosocial Functioning.

ERIC Educational Resources Information Center

Scheier, Lawrence M.; Miller, Nicole L.; Ifill-Williams, Michelle; Botvin, Gilbert J.

2001-01-01

Examines the moderating influences of psychosocial functioning on the relation between perceived neighborhood risk and alcohol, cigarette, and marijuana use in inner-city, ethnic minority youths. Neighborhood risk uniquely predicted alcohol, cigarette, and marijuana use; however, some relations were qualified by level of psychosocial functioning.…

Mother-Toddler Interaction Quality as a Predictor of Developmental and Behavioral Outcomes in a Very Preterm Sample

ERIC Educational Resources Information Center

Delonis, M. Susan; Beeghly, Marjorie; Irwin, Jessica L.

2017-01-01

Very preterm birth (<32 weeks of gestation) heightens the risk for developmental and behavioral problems, but individual outcomes vary greatly. We evaluated whether mother-toddler dyadic interaction quality, assessed longitudinally at 14, 20, and 30 months (corrected), could account for unique variance in very preterm and full-term children's…

Early Word Decoding Ability as a Longitudinal Predictor of Academic Performance

ERIC Educational Resources Information Center

Nordström, Thomas; Jacobson, Christer; Söderberg, Pernilla

2016-01-01

This study, using a longitudinal design with a Swedish cohort of young readers, investigates if children's early word decoding ability in second grade can predict later academic performance. In an effort to estimate the unique effect of early word decoding (grade 2) with academic performance (grade 9), gender and non-verbal cognitive ability were…

Latino College Students at Highly Selective Institutions: A Comparison of Their College Experiences and Outcomes to Other Racial/Ethnic Groups

ERIC Educational Resources Information Center

Kim, Young K.; Rennick, Liz A.; Franco, Marla A.

2014-01-01

This study examines unique patterns of college engagement and outcomes among Latino undergraduate students attending highly selective institutions in comparison with those from other racial/ethnic groups. The study also identifies predictors of select college outcomes--that is, cognitive, affective, and civic outcomes--for this population.…

Clozapine Treatment of Childhood-Onset Schizophrenia: Evaluation of Effectiveness, Adverse Effects, and Long-Term Outcome

ERIC Educational Resources Information Center

Sporn, Alexandra L.; Vermani, Anoop; Greenstein, Deanna K.; Bobb, Aaron J.; Spencer, Edgar P.; Clasen, Liv S.; Tossell, Julia W.; Stayer, Catherine C.; Gochman, Peter A.; Lenane, Marge C.; Rapoport, Judith L.; Gogtay, Nitin

2007-01-01

Objective: Clozapine is a unique atypical antipsychotic with superior efficacy in treatment-resistant schizophrenia. Plasma concentration of clozapine and its major metabolite N-desmethylclozapine (NDMC) as well as the ratio of NDMC to clozapine have been reported to be predictors of clozapine response. Here we evaluate these as well as other…

Optimism and Pessimism as Predictors of Alcohol Use Trajectories in Adolescence

ERIC Educational Resources Information Center

Wray, Tyler B.; Dvorak, Rob D.; Hsia, Jennifer F.; Arens, Ashley M.; Schweinle, William E.

2013-01-01

A range of research has recognized the benefits of optimism in a variety of health-related outcomes. Pessimism has received less attention but may be a distinct concept that is uniquely related to certain health behaviors, including drug use. The present study examined relationships between optimism and pessimism and alcohol use trajectories of…

General versus Specific Predictors of Male Arrest Trajectories: A Test of the Moffitt and Patterson Theories

ERIC Educational Resources Information Center

Wiesner, Margit; Capaldi, Deborah M.; Kim, Hyoun K.

2012-01-01

Developmental taxonomies of crime disagree on whether distinctive offender trajectories are related to common or unique risks. This study examined childhood risks of differing arrest trajectories across childhood through early adulthood (from ages 10-11 to 26-27 years) that were identified in prior work for 203 at-risk, predominantly Caucasian…

Incidence and Predictors of Incontinence Associated Skin Damage in Nursing Home Residents with New Onset Incontinence

PubMed Central

Bliss, Donna Z.; Mathiason, Michelle A.; Gurvich, Olga; Savik, Kay; Eberly, Lynn E.; Fisher, Jessica; Wiltzen, Kjerstie R.; Akermark, Haley; Hildebrandt, Amanda; Jacobson, Megan; Funk, Taylor; Beckman, Amanda; Larson, Reed

2016-01-01

Purpose The purpose of this study was to determine the incidence and predictors of incontinence associated dermatitis (IAD) in nursing home residents. Methods Records of a cohort of 10,713 elderly (aged 65+) newly incontinent nursing home residents in 448 nursing homes in 28 states free of IAD were followed for IAD development. Potential multi-level predictors of IAD were identified in four national datasets containing information about the characteristics of individual nursing home residents, nursing home care environment, and communities in which the nursing homes were located. A unique set of health practitioner orders provided information about IAD and the predictors of IAD prevention and pressure injuries in the extended perineal area. Analysis was based on hierarchical logistical regression. Results The incidence of IAD was 5.5%. Significant predictors of IAD were not receiving preventive interventions for IAD, presence of a perineal pressure injury, having greater functional limitations in activities of daily living, more perfusion problems, and lesser cognitive deficits. Conclusion Findings highlight the importance of prevention of IAD and treatment/prevention of pressure injuries. A Wound Ostomy and Continence (WOC) nurse offers expertise in these interventions and can educate staff about IAD predictors which can improve resident outcomes. Other recommendations include implementing plans of care to improve functional status, treat perfusion problems, and provide assistance with incontinence and skin care to residents with milder as well as greater cognitive deficits. PMID:28267124

Using robust Bayesian network to estimate the residuals of fluoroquinolone antibiotic in soil.

PubMed

Li, Xuewen; Xie, Yunfeng; Li, Lianfa; Yang, Xunfeng; Wang, Ning; Wang, Jinfeng

2015-11-01

Prediction of antibiotic pollution and its consequences is difficult, due to the uncertainties and complexities associated with multiple related factors. This article employed domain knowledge and spatial data to construct a Bayesian network (BN) model to assess fluoroquinolone antibiotic (FQs) pollution in the soil of an intensive vegetable cultivation area. The results show: (1) The relationships between FQs pollution and contributory factors: Three factors (cultivation methods, crop rotations, and chicken manure types) were consistently identified as predictors in the topological structures of three FQs, indicating their importance in FQs pollution; deduced with domain knowledge, the cultivation methods are determined by the crop rotations, which require different nutrients (derived from the manure) according to different plant biomass. (2) The performance of BN model: The integrative robust Bayesian network model achieved the highest detection probability (pd) of high-risk and receiver operating characteristic (ROC) area, since it incorporates domain knowledge and model uncertainty. Our encouraging findings have implications for the use of BN as a robust approach to assessment of FQs pollution and for informing decisions on appropriate remedial measures.

A Polarization Technique for Mitigating Low Grazing Angle Radar Sea Clutter

DTIC Science & Technology

2017-03-03

alarm mitigation, low grazing angles, polarimetry , radar, sea clutter. I. INTRODUCTION Sea clutter poses unique challenges for maritime radars looking...radar polarimetry offers a practical means of robustly mitigating LGA sea clutter across a range of radar and environmental parameters, we stood up a

Robust QRS peak detection by multimodal information fusion of ECG and blood pressure signals.

PubMed

Ding, Quan; Bai, Yong; Erol, Yusuf Bugra; Salas-Boni, Rebeca; Zhang, Xiaorong; Hu, Xiao

2016-11-01

QRS peak detection is a challenging problem when ECG signal is corrupted. However, additional physiological signals may also provide information about the QRS position. In this study, we focus on a unique benchmark provided by PhysioNet/Computing in Cardiology Challenge 2014 and Physiological Measurement focus issue: robust detection of heart beats in multimodal data, which aimed to explore robust methods for QRS detection in multimodal physiological signals. A dataset of 200 training and 210 testing records are used, where the testing records are hidden for evaluating the performance only. An information fusion framework for robust QRS detection is proposed by leveraging existing ECG and ABP analysis tools and combining heart beats derived from different sources. Results show that our approach achieves an overall accuracy of 90.94% and 88.66% on the training and testing datasets, respectively. Furthermore, we observe expected performance at each step of the proposed approach, as an evidence of the effectiveness of our approach. Discussion on the limitations of our approach is also provided.

A robust trust establishment scheme for wireless sensor networks.

PubMed

Ishmanov, Farruh; Kim, Sung Won; Nam, Seung Yeob

2015-03-23

Security techniques like cryptography and authentication can fail to protect a network once a node is compromised. Hence, trust establishment continuously monitors and evaluates node behavior to detect malicious and compromised nodes. However, just like other security schemes, trust establishment is also vulnerable to attack. Moreover, malicious nodes might misbehave intelligently to trick trust establishment schemes. Unfortunately, attack-resistance and robustness issues with trust establishment schemes have not received much attention from the research community. Considering the vulnerability of trust establishment to different attacks and the unique features of sensor nodes in wireless sensor networks, we propose a lightweight and robust trust establishment scheme. The proposed trust scheme is lightweight thanks to a simple trust estimation method. The comprehensiveness and flexibility of the proposed trust estimation scheme make it robust against different types of attack and misbehavior. Performance evaluation under different types of misbehavior and on-off attacks shows that the detection rate of the proposed trust mechanism is higher and more stable compared to other trust mechanisms.

Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study.

PubMed

Nielsen, Morten Birkeland; Tvedt, Sturle Danielsen; Matthiesen, Stig Berge

2013-11-01

This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12-2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07-2.10) emerged as the most robust predictors of subsequent distress. The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry.

The Role of Alcohol Perceptions as Mediators Between Personality and Alcohol-Related Outcomes Among Incoming College-Student Drinkers

PubMed Central

Hustad, John T. P.; Pearson, Matthew R.; Neighbors, Clayton; Borsari, Brian

2014-01-01

After high school, college students escalate their drinking at a faster rate than their noncollege-attending peers, and alcohol use in high school is one of the strongest predictors of alcohol use in college. Therefore, an improved understanding of the role of predictors of alcohol use during the critical developmental period when individuals transition to college has direct clinical implications to reduce alcohol-related harms. We used path analysis in the present study to examine the predictive effects of personality (e.g., impulsivity, sensation seeking, hopelessness, and anxiety sensitivity) and three measures of alcohol perception: descriptive norms, injunctive norms, and perceptions regarding the perceived role of drinking in college on alcohol-related outcomes. Participants were 490 incoming freshmen college students. Results indicated that descriptive norms, injunctive norms, and the role of drinking largely mediated the effects of personality on alcohol outcomes. In contrast, both impulsivity and hopelessness exhibited direct effects on alcohol-related problems. The perceived role of drinking was a particularly robust predictor of outcomes and mediator of the effects of personality traits, including sensation seeking and impulsivity on alcohol outcomes. The intertwined relationships observed in this study between personality factors, descriptive norms, injunctive norms, and the role of drinking highlight the importance of investigating these predictors simultaneously. Findings support the implementation of interventions that target these specific perceptions about the role of drinking in college. PMID:24467197

Foot and hip contributions to high frontal plane knee projection angle in athletes: a classification and regression tree approach.

PubMed

Bittencourt, Natalia F N; Ocarino, Juliana M; Mendonça, Luciana D M; Hewett, Timothy E; Fonseca, Sergio T

2012-12-01

Cross-sectional. To investigate predictors of increased frontal plane knee projection angle (FPKPA) in athletes. The underlying mechanisms that lead to increased FPKPA are likely multifactorial and depend on how the musculoskeletal system adapts to the possible interactions between its distal and proximal segments. Bivariate and linear analyses traditionally employed to analyze the occurrence of increased FPKPA are not sufficiently robust to capture complex relationships among predictors. The investigation of nonlinear interactions among biomechanical factors is necessary to further our understanding of the interdependence of lower-limb segments and resultant dynamic knee alignment. The FPKPA was assessed in 101 athletes during a single-leg squat and in 72 athletes at the moment of landing from a jump. The investigated predictors were sex, hip abductor isometric torque, passive range of motion (ROM) of hip internal rotation (IR), and shank-forefoot alignment. Classification and regression trees were used to investigate nonlinear interactions among predictors and their influence on the occurrence of increased FPKPA. During single-leg squatting, the occurrence of high FPKPA was predicted by the interaction between hip abductor isometric torque and passive hip IR ROM. At the moment of landing, the shank-forefoot alignment, abductor isometric torque, and passive hip IR ROM were predictors of high FPKPA. In addition, the classification and regression trees established cutoff points that could be used in clinical practice to identify athletes who are at potential risk for excessive FPKPA. The models captured nonlinear interactions between hip abductor isometric torque, passive hip IR ROM, and shank-forefoot alignment.

Organizational commitment as a predictor variable in nursing turnover research: literature review.

PubMed

Wagner, Cheryl M

2007-11-01

This paper is a report of a literature review to (1) demonstrate the predictability of organizational commitment as a variable, (2) compare organizational commitment and job satisfaction as predictor variables and (3) determine the usefulness of organizational commitment in nursing turnover research. Organizational commitment is not routinely selected as a predictor variable in nursing studies, although the evidence suggests that it is a reliable predictor. Findings from turnover studies can help determine the previous performance of organizational commitment, and be compared to those of studies using the more conventional variable of job satisfaction. Published research studies in English were accessed for the period 1960-2006 using the CINAHL, EBSCOHealthsource Nursing, ERIC, PROQUEST, Journals@OVID, PubMed, PsychINFO, Health and Psychosocial Instruments (HAPI) and COCHRANE library databases and Business Source Premier. The search terms included nursing turnover, organizational commitment or job satisfaction. Only studies reporting mean comparisons, R(2) or beta values related to organizational commitment and turnover or turnover antecedents were included in the review. There were 25 studies in the final data set, with a subset of 23 studies generated to compare the variables of organizational commitment and job satisfaction. Results indicated robust indirect predictability of organizational commitment overall, with greater predictability by organizational commitment vs job satisfaction. Organizational commitment is a useful predictor of turnover in nursing research, and effective as a variable with the most direct impact on antecedents of turnover such as intent to stay. The organizational commitment variable should be routinely employed in nursing turnover research studies.

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

PubMed

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

2008-09-30

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

Does the Value of Dynamic Assessment in Predicting End-of-First-Grade Mathematics Performance Differ as a Function of English Language Proficiency?

PubMed Central

Seethaler, Pamela M.; Fuchs, Lynn S.; Fuchs, Douglas; Compton, Donald L.

2015-01-01

The purpose of this study was to assess the added value of dynamic assessment (DA) beyond more conventional static measures for predicting individual differences in year-end 1st-grade calculation (CA) and word-problem (WP) performance, as a function of limited English proficiency (LEP) status. At the start of 1st grade, students (129 LEP; 163 non-LEP) were assessed on a brief static mathematics test, an extended static mathematics test, static tests of domain-general abilities associated with CAs and WPs (vocabulary; reasoning), and DA. Near end of 1st grade, they were assessed on CA and WP. Regression analyses indicated that the value of the predictor depends on the predicted outcome and LEP status. In predicting CAs, the extended mathematics test and DA uniquely explained variance for LEP children, with stronger predictive value for the extended mathematics test; for non-LEP children, the extended mathematics test was the only significant predictor. However, in predicting WPs, only DA and vocabulary were uniquely predictive for LEP children, with stronger value for DA; for non-LEP children, the extended mathematics test and DA were comparably uniquely predictive. Neither the brief static mathematics test nor reasoning was significant in predicting either outcome. The potential value of a gated screening process, using an extended mathematics assessment to predict CAs and using DA to predict WPs, is discussed. PMID:26523068

Response to comment on "Climate legacies drive global soil carbon stocks in terrestrial ecosystem".

PubMed

Delgado-Baquerizo, Manuel; Eldridge, David J; Maestre, Fernando T; Karunaratne, Senani B; Trivedi, Pankaj; Reich, Peter B; Singh, Brajesh K

2018-03-01

The technical comment from Sanderman provides a unique opportunity to deepen our understanding of the mechanisms explaining the role of paleoclimate in the contemporary distribution of global soil C content, as reported in our article. Sanderman argues that the role of paleoclimate in predicting soil C content might be accounted for by using slowly changing soil properties as predictors. This is a key point that we highlighted in the supplementary materials of our article, which demonstrated, to the degree possible given available data, that soil properties alone cannot account for the unique portion of the variation in soil C explained by paleoclimate. Sanderman also raised an interesting question about how paleoclimate might explain the contemporary amount of C in our soils if such a C is relatively new, particularly in the topsoil layer. There is one relatively simple, yet plausible, reason. A soil with a higher amount of C, a consequence of accumulation over millennia, might promote higher contemporary C fixation rates, leading to a higher amount of new C in our soils. Thus, paleoclimate can be a good predictor of the amount of soil C in soil, but not necessarily of its age. In summary, Sanderman did not question the validity of our results but rather provides an alternative potential mechanistic explanation for the conclusion of our original article, that is, that paleoclimate explains a unique portion of the global variation of soil C content that cannot be accounted for by current climate, vegetation attributes, or soil properties.

Sequential Prediction of Literacy Achievement for Specific Learning Disabilities Contrasting in Impaired Levels of Language in Grades 4 to 9.

PubMed

Sanders, Elizabeth A; Berninger, Virginia W; Abbott, Robert D

Sequential regression was used to evaluate whether language-related working memory components uniquely predict reading and writing achievement beyond cognitive-linguistic translation for students in Grades 4 through 9 ( N = 103) with specific learning disabilities (SLDs) in subword handwriting (dysgraphia, n = 25), word reading and spelling (dyslexia, n = 60), or oral and written language (oral and written language learning disabilities, n = 18). That is, SLDs are defined on the basis of cascading level of language impairment (subword, word, and syntax/text). A five-block regression model sequentially predicted literacy achievement from cognitive-linguistic translation (Block 1); working memory components for word-form coding (Block 2), phonological and orthographic loops (Block 3), and supervisory focused or switching attention (Block 4); and SLD groups (Block 5). Results showed that cognitive-linguistic translation explained an average of 27% and 15% of the variance in reading and writing achievement, respectively, but working memory components explained an additional 39% and 27% of variance. Orthographic word-form coding uniquely predicted nearly every measure, whereas attention switching uniquely predicted only reading. Finally, differences in reading and writing persisted between dyslexia and dysgraphia, with dysgraphia higher, even after controlling for Block 1 to 4 predictors. Differences in literacy achievement between students with dyslexia and oral and written language learning disabilities were largely explained by the Block 1 predictors. Applications to identifying and teaching students with these SLDs are discussed.

Predictors of chain acquisition among independent dialysis facilities.

PubMed

Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C

2010-04-01

To determine the predictors of chain acquisition among independent dialysis providers. Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996-2003. Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status.

Nonword Repetition and Vocabulary Knowledge as Predictors of Children's Phonological and Semantic Word Learning.

PubMed

Adlof, Suzanne M; Patten, Hannah

2017-03-01

This study examined the unique and shared variance that nonword repetition and vocabulary knowledge contribute to children's ability to learn new words. Multiple measures of word learning were used to assess recall and recognition of phonological and semantic information. Fifty children, with a mean age of 8 years (range 5-12 years), completed experimental assessments of word learning and norm-referenced assessments of receptive and expressive vocabulary knowledge and nonword repetition skills. Hierarchical multiple regression analyses examined the variance in word learning that was explained by vocabulary knowledge and nonword repetition after controlling for chronological age. Together with chronological age, nonword repetition and vocabulary knowledge explained up to 44% of the variance in children's word learning. Nonword repetition was the stronger predictor of phonological recall, phonological recognition, and semantic recognition, whereas vocabulary knowledge was the stronger predictor of verbal semantic recall. These findings extend the results of past studies indicating that both nonword repetition skill and existing vocabulary knowledge are important for new word learning, but the relative influence of each predictor depends on the way word learning is measured. Suggestions for further research involving typically developing children and children with language or reading impairments are discussed.

Suicidal Ideation in Anxiety-Disordered Youth: Identifying Predictors of Risk

PubMed Central

O'Neil Rodriguez, Kelly A.; Kendall, Philip C.

2014-01-01

Objective Evidence is mixed regarding an independent association between anxiety and suicidality. Beyond associations with demographic factors and depression, do anxiety disorders increase risk for suicidality in youth? Given that not all anxiety-disordered youth experience suicidal ideation, potential predictors of risk also require investigation. Method The present study examined (a) the independent relationship between anxiety and suicidal ideation and (b) emotion dysregulation and distress intolerance as predictors of risk for suicidal ideation in a sample of anxiety-disordered youth aged 7-17 (N = 86, M = 11.5). Youth and their parents reported on suicidality, emotion dysregulation, and distress intolerance. Distress tolerance was also measured by a computerized behavioral task. Results Results support an independent relationship between anxiety symptomatology and youth-reported suicidal ideation, controlling for depressive symptoms. Youth self-report of emotion dysregulation and distress intolerance predicted higher levels of suicidal ideation in univariate analyses. In a multivariate analysis including all significant predictors, only anxiety symptomatology uniquely predicted suicidal ideation. Conclusions Results provide recommendations for the assessment and treatment of suicidality in anxiety-disordered youth. Suggestions for future research investigating the relationship between anxiety and suicidal ideation are offered. PMID:24156368

Predictors of depressive symptoms in older Japanese primiparas at 1 month post-partum: A risk-stratified analysis.

PubMed

Iwata, Hiroko; Mori, Emi; Tsuchiya, Miyako; Sakajo, Akiko; Maehara, Kunie; Ozawa, Harumi; Morita, Akiko; Maekawa, Tomoko; Aoki, Kyoko; Tamakoshi, Koji

2016-01-01

Older maternal age has become more common in Japan. Studies suggest that older maternal age and primiparity are associated with post-partum depression. The present study aimed to identify predictors of post-partum depression in older Japanese primiparas at 1 month post-partum. Participants were 479 primiparas aged 35 years and over, drawn from a prospective cohort study. Data were collected using self-report questionnaires. Depression was measured with the Japanese version of the Edinburgh Postnatal Depression Scale. Stepwise logistic regression analysis was conducted on binary outcome variables of depression at 1 month post-partum, along with a stratified analysis based on the risk status of depression. Five predictors were identified: (i) the depression score during hospital stay; (ii) financial burden; (iii) dissatisfaction with appraisal support; (iv) physical burden in daily life; and (v) concerns about infant caretaking. Stratified analysis identified dissatisfaction with instrumental support in the low-risk group, and the Child-care Value Scale score as unique predictors in the high-risk group. These results highlight the importance of early assessment of depressive symptoms and the provision of continuous care. © 2015 Japan Academy of Nursing Science.

Personal and perceived public mental-health stigma as predictors of help-seeking intentions in adolescents.

PubMed

Nearchou, Finiki A; Bird, Niamh; Costello, Audrey; Duggan, Sophie; Gilroy, Jessica; Long, Roisin; McHugh, Laura; Hennessy, Eilis

2018-07-01

This study aimed to determine predictors of help-seeking intentions for symptoms of depression/anxiety and self-harm in adolescents. It focused on personal and perceived public stigma to gather data of value for the design of anti-stigma interventions. Participants (n = 722; 368 girls) were recruited from three cohorts of secondary school students in Ireland (mean ages: 1st = 12.9 years; 3rd = 14.9 years; 5th = 16.6 years). Hierarchical regression models indicated that perceived public stigma is a significant unique predictor of help-seeking intentions for depression [F(4, 717) = 13.4, p < .001] and self-harm [F(4, 717) = 13.5, p < .001]. This indicates that young people's beliefs about other people's stigma towards mental health problems was a stronger predictor of help-seeking intentions than their own stigma beliefs. These findings highlight the importance of looking separately at different types of stigma when investigating the role of stigma in predicting help-seeking intentions. Copyright © 2018 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Advanced techniques for mitigating the effects of temporal distortions in human in the loop control systems

NASA Astrophysics Data System (ADS)

Guo, Liwen

The desire to create more complex visual scenes in modern flight simulators outpaces recent increases in processor speed. As a result, the simulation transport delay remains a problem. Because of the limitations shown in the three prominent existing delay compensators---the lead/lag filter, the McFarland compensator and the Sobiski/Cardullo predictor---new approaches of compensating the transport delay in a flight simulator have been developed. The first novel compensator is the adaptive predictor making use of the Kalman filter algorithm in a unique manner so that the predictor can provide accurately the desired amount of prediction, significantly reducing the large spikes caused by the McFarland predictor. Among several simplified online adaptive predictors it illustrates mathematically why the stochastic approximation algorithm achieves the best compensation results. A second novel approach employed a reference aircraft dynamics model to implement a state space predictor on a flight simulator. The practical implementation formed the filter state vector from the operator's control input and the aircraft states. The relationship between the reference model and the compensator performance was investigated in great detail, and the best performing reference model was selected for implementation in the final tests. Piloted simulation tests were conducted for assessing the effectiveness of the two novel compensators in comparison to the McFarland predictor and no compensation. Thirteen pilots with heterogeneous flight experience executed straight-in and offset approaches, at various delay configurations, on a flight simulator where different predictors were applied to compensate for transport delay. Four metrics---the glide slope and touchdown errors, power spectral density of the pilot control inputs, NASA Task Load Index, and Cooper-Harper rating on the handling qualities---were employed for the analyses. The overall analyses show that while the adaptive predictor results in slightly poorer compensation for short added delay (up to 48 ms) and better compensation for long added delay (up to 192 ms) than the McFarland compensator, the state space predictor is fairly superior for short delay and significantly superior for long delay to the McFarland compensator. The state space predictor also achieves better compensation than the adaptive predictor. The results of the evaluation on the effectiveness of these predictors in the piloted tests agree with those in the theoretical offline tests conducted with the recorded simulation aircraft states.

Pilot Evaluation of Adaptive Control in Motion-Based Flight Simulator

NASA Technical Reports Server (NTRS)

Kaneshige, John T.; Campbell, Stefan Forrest

2009-01-01

The objective of this work is to assess the strengths, weaknesses, and robustness characteristics of several MRAC (Model-Reference Adaptive Control) based adaptive control technologies garnering interest from the community as a whole. To facilitate this, a control study using piloted and unpiloted simulations to evaluate sensitivities and handling qualities was conducted. The adaptive control technologies under consideration were ALR (Adaptive Loop Recovery), BLS (Bounded Linear Stability), Hybrid Adaptive Control, L1, OCM (Optimal Control Modification), PMRAC (Predictor-based MRAC), and traditional MRAC

Compensation of distributed delays in integrated communication and control systems

NASA Technical Reports Server (NTRS)

Ray, Asok; Luck, Rogelio

1991-01-01

The concept, analysis, implementation, and verification of a method for compensating delays that are distributed between the sensors, controller, and actuators within a control loop are discussed. With the objective of mitigating the detrimental effects of these network induced delays, a predictor-controller algorithm was formulated and analyzed. Robustness of the delay compensation algorithm was investigated relative to parametric uncertainties in plant modeling. The delay compensator was experimentally verified on an IEEE 802.4 network testbed for velocity control of a DC servomotor.

Robust Regression Procedures for Predictor Variable Outliers.

DTIC Science & Technology

1982-03-01

space of probability dis- tributions. Then the influence function of the estimator is defined to be the derivative of the functional evaluated at the...measure of the impact of an outlier x0 on the estimator . . . . . .0 10 T(F) is the " influence function " which is defined to be T(F) - lirT(F")-T(F...positive and negative directions. An em- pirical influence function can be defined in a similar fashion simply by replacing F with F in eqn. (3.4).n

Men’s Facial Width-to-Height Ratio Predicts Aggression: A Meta-Analysis

PubMed Central

Haselhuhn, Michael P.; Ormiston, Margaret E.; Wong, Elaine M.

2015-01-01

Recent research has identified men’s facial width-to-height ratio (fWHR) as a reliable predictor of aggressive tendencies and behavior. Other research, however, has failed to replicate the fWHR-aggression relationship and has questioned whether previous findings are robust. In the current paper, we synthesize existing work by conducting a meta-analysis to estimate whether and how fWHR predicts aggression. Our results indicate a small, but significant, positive relationship between men’s fWHR and aggression. PMID:25849992

Preschoolers' Autobiographical Memory Specificity Relates to Their Emotional Adjustment

ERIC Educational Resources Information Center

Valentino, Kristin; McDonnell, Christina G.; Comas, Michelle; Nuttall, Amy K.

2018-01-01

Reduced autobiographical memory specificity (AMS) has robust associations with psychopathology. As such, understanding the development of AMS (or its inverse, overgeneral autobiographical memory) and how it may be unique from other aspects of memory performance is important. In particular, it is unclear whether child AMS is distinct from…

Utilizing cattle genetic trends to evaluate the robust nature of gene bank collections

USDA-ARS?s Scientific Manuscript database

The National Animal Germplasm Program has developed substantial germplasm collections (>800,000 samples) for more than 300 unique livestock populations or breeds. Gene bank utilization is relatively new to the livestock sector and the long term genetic relevance of such collections has not been docu...

Setting the Stage for Academic Success through Antecedent Intervention

ERIC Educational Resources Information Center

Kruger, Alicia M.; Strong, Whitney; Daly, Edward J., III; O'Connor, Maureen; Sommerhalder, Mackenzie S.; Holtz, Jill; Weis, Nicole; Kane, Elizabeth J.; Hoff, Natalie; Heifner, Allison

2016-01-01

Behavior-analytic academic intervention research has gained popularity among school psychologists because it offers a unique combination of robust principles of behavior and a degree of clarity and precision about functional relationships that is unparalleled in other learning paradigms. This article reviews the literature for a type of antecedent…

In Defence of the Classroom Science Demonstration

ERIC Educational Resources Information Center

McCrory, Paul

2013-01-01

Science demonstrations are often criticised for their passive nature, their gratuitous exploitation and their limited ability to develop scientific knowledge and understanding. This article is intended to present a robust defence of the use of demonstrations in the classroom by identifying some of their unique and powerful benefits--practical,…

On Teacher Quality in Independent Schools

ERIC Educational Resources Information Center

Balossi, Matt; Hernandez, Natalia R.

2016-01-01

Independent schools pride themselves on providing a unique educational experience for students, one that is robust and mission-driven and capitalizes on lower student-to-teacher ratios that allow for more personalized learning and high-quality teachers. Numerous studies measure teacher effectiveness in public schools, yet there is little research…

Unique geologic insights from "non-unique" gravity and magnetic interpretation

USGS Publications Warehouse

Saltus, R.W.; Blakely, R.J.

2011-01-01

Interpretation of gravity and magnetic anomalies is mathematically non-unique because multiple theoretical solutions are always possible. The rigorous mathematical label of "nonuniqueness" can lead to the erroneous impression that no single interpretation is better in a geologic sense than any other. The purpose of this article is to present a practical perspective on the theoretical non-uniqueness of potential-field interpretation in geology. There are multiple ways to approach and constrain potential-field studies to produce significant, robust, and definitive results. The "non-uniqueness" of potential-field studies is closely related to the more general topic of scientific uncertainty in the Earth sciences and beyond. Nearly all results in the Earth sciences are subject to significant uncertainty because problems are generally addressed with incomplete and imprecise data. The increasing need to combine results from multiple disciplines into integrated solutions in order to address complex global issues requires special attention to the appreciation and communication of uncertainty in geologic interpretation.

Psychological predictors of children' s recess physical activity motivation and behavior.

PubMed

Stellino, Megan Babkes; Sinclair, Christina D

2013-06-01

This study explored the relationship between children's basic psychological needs satisfaction at recess, level of recess physical activity motivation (RPAM), and recess physical activity (RPA). Fifth-grade children (N = 203; 50.2% boys; 71.7% healthy-weight) completed measures of age, gender, basic psychological need satisfaction, and level of self-determined motivation for RPA. Children also wore pedometers during six consecutive 30-min mid-school-day recesses. Multiple regression analyses indicated unique significant predictors of RPAM and RPA according to gender and weight status. RPAM was significantly predicted by all three basic psychological needs for boys and only competence need satisfaction for girls and healthy-weight children. RPA was predicted by RPAM for girls, competence need satisfaction for overweight children, and autonomy need satisfaction for boys and healthy-weight children. Findings support self-determination theory and provide important insight into the variations in psychological predictors of motivation for RPA and actual physical activity behavior based on gender and weight status.

Childhood Predictors of Young Adult Male Crime

PubMed Central

Ou, Suh-Ruu; Reynolds, Arthur J.

2010-01-01

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

Measuring Motivation: Change Talk and Counter-Change Talk in Cognitive Behavioral Therapy for Generalized Anxiety

PubMed Central

Lombardi, Diana R.; Button, Melissa

2013-01-01

How clients talk about change early in treatment has been found to be a potent predictor of their subsequent treatment success. Studies examining such client motivational language (arguments for and against change) have typically been conducted in the context of motivational interviewing for addictions. The present study examined the capacity of client motivational language to predict treatment outcomes in the context of cognitive behavioral therapy (CBT) for generalized anxiety. Client early in-session statements against change (counter-change talk) were found to be robust predictors of post-treatment worry scores and differentiated treatment responders from nonresponders. Moreover, client motivational language predicted outcomes beyond initial symptom severity and self-report measures of motivation. These results strongly support the relevance of client motivational language outcomes in CBT and provide a foundation for advancing research on motivation for change in a CBT context. PMID:24134594

Measuring motivation: change talk and counter-change talk in cognitive behavioral therapy for generalized anxiety.

PubMed

Lombardi, Diana R; Button, Melissa L; Westra, Henny A

2014-01-01

How clients talk about change early in treatment has been found to be a potent predictor of their subsequent treatment success. Studies examining such client motivational language (arguments for and against change) have typically been conducted in the context of motivational interviewing for addictions. This study examined the capacity of client motivational language to predict treatment outcomes in the context of cognitive behavioral therapy (CBT) for generalized anxiety. Client early in-session statements against change (counter-change talk) were found to be robust predictors of post-treatment worry scores and differentiated treatment responders from nonresponders. Moreover, client motivational language predicted outcomes beyond initial symptom severity and self-report measures of motivation. These results strongly support the relevance of client motivational language outcomes in CBT and provide a foundation for advancing research on motivation for change in a CBT context.

Medical image enhancement using resolution synthesis

NASA Astrophysics Data System (ADS)

Wong, Tak-Shing; Bouman, Charles A.; Thibault, Jean-Baptiste; Sauer, Ken D.

2011-03-01

We introduce a post-processing approach to improve the quality of CT reconstructed images. The scheme is adapted from the resolution-synthesis (RS)1 interpolation algorithm. In this approach, we consider the input image, scanned at a particular dose level, as a degraded version of a high quality image scanned at a high dose level. Image enhancement is achieved by predicting the high quality image by classification based linear regression. To improve the robustness of our scheme, we also apply the minimum description length principle to determine the optimal number of predictors to use in the scheme, and the ridge regression to regularize the design of the predictors. Experimental results show that our scheme is effective in reducing the noise in images reconstructed from filtered back projection without significant loss of image details. Alternatively, our scheme can also be applied to reduce dose while maintaining image quality at an acceptable level.

Trait hostility and hostile interpretation biases in daily smokers: associations with reasons for smoking, motivation to quit, and early smoking lapse.

PubMed

Cougle, Jesse R; Hawkins, Kirsten A; Macatee, Richard J; Zvolensky, Michael J; Sarawgi, Shivali

2014-09-01

Hostility has emerged as an important predictor of smoking cessation difficulties, though the mechanisms underlying the hostility and smoking relationship are poorly understood. Further, research has yet to explore relations between hostile interpretation biases and different aspects of smoking behavior. In the present study, current daily smokers (N = 106) were administered measures of smoking characteristics, smoking motivation, reasons for quitting, hostility, and hostile interpretation bias. Neither trait hostility nor hostile interpretation bias were uniquely associated with motivation to quit, reasons for quitting, nicotine dependence, or problematic symptoms following past cessation attempts. However, hostility and hostile interpretation biases were uniquely associated with different reasons for smoking. Additionally, greater hostile interpretation bias (but not hostility) was uniquely associated with early relapse following past cessation attempts. The current findings add uniquely to the growing, but still relatively small, literature on hostility and smoking and implicate hostile interpretation bias as a potential treatment target in smoking cessation interventions.

A Concept–Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure

PubMed Central

Betensky, Rebecca A.; Wright, Adam; Curhan, Gary C.; Bates, David W.; Waikar, Sushrut S.

2016-01-01

Background and objectives Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. Design, setting, participants, & measurements We used natural language processing tools to extract concepts from the preceding year’s clinical notes among patients newly referred to a tertiary care center’s outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Results Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high–dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Conclusions Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. PMID:27927892

Child Sexual Abuse, Post-Traumatic Stress Disorder, and Substance Use: Predictors of Revictimization in Adult Sexual Assault Survivors

ERIC Educational Resources Information Center

Ullman, Sarah E.; Najdowski, Cynthia J.; Filipas, Henrietta H.

2009-01-01

This study examined the unique effects of child sexual abuse simultaneously with post-traumatic stress disorder symptom clusters, problem drinking, and illicit drug use in relation to sexual revictimization in a community sample of female adult sexual assault victims. Participants (N = 555) completed two surveys a year apart. Child sexual abuse…

Predictors of Suicide Ideation and Depression in Hong Kong Adolescents: Perceptions of Academic and Family Climates

ERIC Educational Resources Information Center

Lee, Margaret T. Y.; Wong, Betty P.; Chow, Bonnie W.-Y.; McBride-Chang, Catherine

2006-01-01

The unique dimensions of perceptions of school and family contributing to depression and suicide ideation in Hong Kong adolescents were examined in two studies. In Study 1, among 327 Hong Kong Chinese female students ages 13-18, 47% reported some suicide ideation. Suicide ideation was significantly associated with depression, test anxiety,…

Maternal Jail Time, Conviction, and Arrest as Predictors of Children's 15-Year Antisocial Outcomes in the Context of a Nurse Home Visiting Program

ERIC Educational Resources Information Center

Shlafer, Rebecca J.; Poehlmann, Julie; Donelan-McCall, Nancy

2012-01-01

Data from the Nurse-Family Partnership intervention program were analyzed to compare the "selection" versus "unique" effects of maternal jail time on adolescent antisocial and health risk outcomes. Data from 320 women and their firstborn children were available from the prenatal, birth, and 15-year assessments. Consistent with…

Mental Health Stigma, Self-Concealment, and Help-Seeking Attitudes among Asian American and European American College Students with No Help-Seeking Experience

ERIC Educational Resources Information Center

Masuda, Akihiko; Boone, Matthew S.

2011-01-01

The present study examined whether mental health stigma (i.e., negative attitudes toward people with a psychological disorder) and self-concealment are unique predictors of help-seeking attitudes in Asian American and European American college students with no history of seeking professional psychological services. The Asian American group had…

Is Neocortical-Hippocampal Connectivity a Better Predictor of Subsequent Recollection than Local Increases in Hippocampal Activity? New Insights on the Role of Priming

ERIC Educational Resources Information Center

Gagnepain, Pierre; Henson, Richard; Chetelat, Gael; Desgranges, Beatrice; Lebreton, Karine; Eustache, Francis

2011-01-01

During memory encoding, increased hippocampal activity--thought to reflect the binding of different types of information into unique episodes--has been shown to correlate with subsequent recollection of those episodes. Repetition priming--thought to induce more efficient perceptual processing of stimuli--is normally associated with decreased…

Predictors of Colorectal Screening in Rural Colorado: Testing to Prevent Colon Cancer in the High Plains Research Network

ERIC Educational Resources Information Center

Young, Walter F.; McGloin, Joe; Zittleman, Linda; West, David R.; Westfall, John M.

2007-01-01

Context: Colorectal cancer is the second leading cause of cancer death in the United States, yet screening rates are well below target levels. Rural communities may face common and unique barriers to health care, particularly preventive health care. Purpose: To establish baseline attitudinal, knowledge, belief, and behavior measures on colorectal…

Nonword Repetition and Vocabulary Knowledge as Predictors of Children's Phonological and Semantic Word Learning

ERIC Educational Resources Information Center

Adlof, Suzanne M.; Patten, Hannah

2017-01-01

Purpose: This study examined the unique and shared variance that nonword repetition and vocabulary knowledge contribute to children's ability to learn new words. Multiple measures of word learning were used to assess recall and recognition of phonological and semantic information. Method: Fifty children, with a mean age of 8 years (range 5-12…

Learning Goals of AACSB-Accredited Undergraduate Business Programs: Predictors of Conformity versus Differentiation

ERIC Educational Resources Information Center

Brink, Kyle E.; Palmer, Timothy B.; Costigan, Robert D.

2014-01-01

Learning goals are central to assurance of learning. Yet little is known about what goals are used by business programs or how they are established. On the one hand, business schools are encouraged to develop their own unique learning goals. However, business schools also face pressures that would encourage conformity by adopting goals used by…

Competence with Fractions in Fifth or Sixth Grade as a Unique Predictor of Algebraic Thinking?

ERIC Educational Resources Information Center

Pearn, Catherine; Stephens, Max

2016-01-01

Researchers have argued that there are strong links between primary school students' competence with fraction concepts and operations and their algebraic readiness. This study involving 162 Years 5/6 students in three primary schools examined the strength of that relationship using a test based on familiar fraction tasks and a test of algebraic…

The Joint Effect of Peer Victimization and Conflict with Teachers on Student Engagement at the End of Elementary School

ERIC Educational Resources Information Center

Archambault, Isabelle; Kurdi, Vanessa; Oliver, Elizabeth; Goulet, Mélissa

2016-01-01

The present study examined the unique and joint effects of peer victimization and conflicts with teachers on student behavioral and affective engagement across the school year among a sample of 333 fifth- and sixth-grade students. Results first showed that peer victimization was not a significant predictor of students' affective engagement,…

Moral Emotion Attributions and Personality Traits as Long-Term Predictors of Antisocial Conduct in Early Adulthood: Findings from a 20-Year Longitudinal Study

ERIC Educational Resources Information Center

Krettenauer, Tobias; Asendorpf, Jens B.; Nunner-Winkler, Gertrud

2013-01-01

The study investigated long-term relations between moral emotion attributions in childhood and adolescence and antisocial conduct in early adulthood while taking into account potentially confounding personality factors. Specifically, onset of prediction, unique and indirect effects of moral emotion attributions were examined. In a longitudinal…

Mental Health Stigma and Self-Concealment as Predictors of Help-Seeking Attitudes among Latina/o College Students in the United States

ERIC Educational Resources Information Center

Mendoza, Hadrian; Masuda, Akihiko; Swartout, Kevin M.

2015-01-01

The study examined whether mental health stigma and self-concealment are uniquely related to various dimensions of attitudes toward seeking professional psychological services (i.e., help-seeking attitudes) in Latina/o college students. Data from 129 Latina/o undergraduates (76% female) were used in the analysis. Results revealed that mental…

Contextual Risk Factors as Predictors of Disruptive Behavior Disorder Trajectories in Girls: The Moderating Effect of Callous-Unemotional Features

ERIC Educational Resources Information Center

Kroneman, Leoniek M.; Hipwell, Alison E.; Loeber, Rolf; Koot, Hans M.; Pardini, Dustin A.

2011-01-01

Background: The presence of callous-unemotional (CU) features may delineate a severe and persistent form of conduct problems in children with unique developmental origins. Contextual risk factors such as poor parenting, delinquent peers, or neighborhood risk are believed to influence the development of conduct problems primarily in children with…

Influence of Difficulty with Language of Mathematics on Perceived Self-Efficacy in Learning Mathematics among Upper Primary Students of Kerala

ERIC Educational Resources Information Center

Sarabi, M. K.; Gafoor, K. Abdul

2017-01-01

There is increasing realization that mathematics-related self-efficacy expectations are a strong predictor of an array of significant mathematics outcomes. It is also evident that the curricular practice in schools largely neglects development of a student understanding in the unique language of mathematics. Consequently, this study probes how…

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

PubMed

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

2011-12-01

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

Effects of Parental Stress, Optimism, and Health-Promoting Behaviors on the Quality of Life of Primiparous and Multiparous Mothers.

PubMed

Loh, Jennifer; Harms, Craig; Harman, Bronwyn

Parental stress, optimism, and health-promoting behaviors (HPBs) are important predictors of the quality of life (QoL) of mothers. However, it is unclear how strongly these predictors affect the QoL of mothers. It is also unclear if the impact of these predictors on QoL differs between primiparous and multiparous mothers. In this study, we defined primiparous as "bearing young for the first time" and multiparous as "having experienced one or more previous childbirths." The first objective of this study was to examine the relative effect of parental stress, optimism, and HPBs on the QoL of mothers. The second objective was to investigate if the effect of these predictors differed between primiparous and multiparous mothers. One hundred ninety-four Australian mothers (n = 87, 44.8% primiparous mothers) participated in an online survey that included the Parental Stress Scale, the Health-Promoting Lifestyle Profile II, the Revised Life Orientation Test, and the Quality of Life Enjoyment and Satisfaction Questionnaire. All predictors (parental stress, optimism, and HPBs) significantly affected the QoL of mothers; higher levels of optimism, greater use of HPBs, and lower parental stress were associated with higher levels of QoL for all mothers. Parity did not affect the relationships. This study sheds light on the nature and unique effect of parental stress, optimism, and HPBs on the QoL of mothers.

Social network analysis of children with autism spectrum disorder: Predictors of fragmentation and connectivity in elementary school classrooms

PubMed Central

Anderson, Ariana; Locke, Jill; Kretzmann, Mark; Kasari, Connie

2016-01-01

Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and without autism spectrum disorder using a social network analysis. Participants included 182 children with autism spectrum disorder and 152 children without autism spectrum disorder, aged 5–12 years in 152 general education K-5 classrooms. General linear models were used to compare how age, classroom size, gender, baseline connectivity, diagnosis, and intelligence quotient predicted changes in social connectivity (closeness). Gender and classroom size had a unique interaction in predicting final social connectivity and the change in connectivity for children with autism spectrum disorder; boys who were placed in larger classrooms showed increased social network fragmentation. This increased fragmentation for boys when placed in larger classrooms was not seen in typically developing boys. These results have implications regarding placement, intervention objectives, and ongoing school support that aimed to increase the social success of children with autism spectrum disorder in public schools. PMID:26567264

Inaccuracy in health research news: a typology and predictions of scientists' perceptions of the accuracy of research news.

PubMed

Chang, Chingching

2015-01-01

This article introduces an integrated inaccuracy typology to explore the prevalence of inaccurate news coverage of health research. This typology suggests that errors, omissions, and misinterpretations are three common types of inaccuracy; errors and omissions are objective, whereas misinterpretations are subjective. Objective inaccuracy involves errors and omissions in describing the background or substantive information about the research, such as how, when, where, and on whom research was conducted. Subjective inaccuracy entails misinterpretations as a result of a lack of expertise among journalists (e.g., misstating facts, errors in inferences, offering speculations as facts) or media's interest in profits (e.g., overemphasis on unique findings, overgeneralizations of findings, shifting emphases). For this study, coders analyzed objective inaccuracy, while scientists rated subjective inaccuracy. In turn, it identifies what can account for the variance in scientists' perceptions of inaccuracy in news articles citing their research. Objective and subjective inaccuracy offer significant predictors. Of the different types of objective inaccuracy, omissions of research methods represent a significant factor, whereas of the types of subjective inaccuracy, errors in inferences, overemphasis on uniqueness, and overgeneralizations of findings are all significant predictors.

Developmental, Component-Based Model of Reading Fluency: An Investigation of Predictors of Word-Reading Fluency, Text-Reading Fluency, and Reading Comprehension.

PubMed

Kim, Young-Suk Grace

2015-01-01

The primary goal was to expand our understanding of text reading fluency (efficiency or automaticity)-how its relation to other constructs (e.g., word reading fluency and reading comprehension) changes over time and how it is different from word reading fluency and reading comprehension. We examined (1) developmentally changing relations among word reading fluency, listening comprehension, text reading fluency, and reading comprehension; (2) the relation of reading comprehension to text reading fluency; (3) unique emergent literacy predictors (i.e., phonological awareness, orthographic awareness, morphological awareness, letter name knowledge, vocabulary) of text reading fluency vs. word reading fluency; and (4) unique language and cognitive predictors (e.g., vocabulary, grammatical knowledge, theory of mind) of text reading fluency vs. reading comprehension. These questions were addressed using longitudinal data (two timepoints; Mean age = 5;24 & 6;08) from Korean-speaking children ( N = 143). Results showed that listening comprehension was related to text reading fluency at time 2, but not at time 1. At both times text reading fluency was related to reading comprehension, and reading comprehension was related to text reading fluency over and above word reading fluency and listening comprehension. Orthographic awareness was related to text reading fluency over and above other emergent literacy skills and word reading fluency. Vocabulary and grammatical knowledge were independently related to text reading fluency and reading comprehension whereas theory of mind was related to reading comprehension, but not text reading fluency. These results reveal developmental nature of relations and mechanism of text reading fluency in reading development.

Associations between maternal and paternal depressive symptoms and early child behavior problems: Testing a mutually adjusted prospective longitudinal model.

PubMed

Narayanan, Martina K; Nærde, Ane

2016-05-15

While there is substantial empirical work on maternal depression, less is known about how mothers' and fathers' depressive symptoms compare in their association with child behavior problems in early childhood. In particular, few studies have examined unique relationships in the postpartum period by controlling for the other parent, or looked at longitudinal change in either parent's depressive symptoms across the first living years as a predictor of child problems. We examined depressive symptoms in parents at 6, 12, 24, 36 and 48 months following childbirth, and child behavior problems at 48 months. Linear growth curve analysis was used to model parents' initial levels and changes in symptoms across time and their associations with child outcomes. Mothers' depressive symptoms at 6 months predicted behavior problems at 48 months for all syndrome scales, while fathers' did not. Estimates for mothers' symptoms were significantly stronger on all subscales. Change in fathers' depressive symptoms over time was a significantly larger predictor of child aggressive behavior than corresponding change in mothers'. No interaction effects between parents' symptoms on behavior problems appeared, and few child gender differences. Child behavior was assessed once precluding tests for bidirectional effects. We only looked at linear change in parental symptoms. Mothers' postpartum depressive symptoms are a stronger predictor for early child behavior problems than fathers'. Change in fathers' depressive symptoms across this developmental period was uniquely and strongly associated with child aggressive problems, and should therefore be addressed in future research and clinical practice. Copyright © 2016 Elsevier B.V. All rights reserved.

Developmental, Component-Based Model of Reading Fluency: An Investigation of Predictors of Word-Reading Fluency, Text-Reading Fluency, and Reading Comprehension

PubMed Central

Kim, Young-Suk Grace

2015-01-01

The primary goal was to expand our understanding of text reading fluency (efficiency or automaticity)—how its relation to other constructs (e.g., word reading fluency and reading comprehension) changes over time and how it is different from word reading fluency and reading comprehension. We examined (1) developmentally changing relations among word reading fluency, listening comprehension, text reading fluency, and reading comprehension; (2) the relation of reading comprehension to text reading fluency; (3) unique emergent literacy predictors (i.e., phonological awareness, orthographic awareness, morphological awareness, letter name knowledge, vocabulary) of text reading fluency vs. word reading fluency; and (4) unique language and cognitive predictors (e.g., vocabulary, grammatical knowledge, theory of mind) of text reading fluency vs. reading comprehension. These questions were addressed using longitudinal data (two timepoints; Mean age = 5;24 & 6;08) from Korean-speaking children (N = 143). Results showed that listening comprehension was related to text reading fluency at time 2, but not at time 1. At both times text reading fluency was related to reading comprehension, and reading comprehension was related to text reading fluency over and above word reading fluency and listening comprehension. Orthographic awareness was related to text reading fluency over and above other emergent literacy skills and word reading fluency. Vocabulary and grammatical knowledge were independently related to text reading fluency and reading comprehension whereas theory of mind was related to reading comprehension, but not text reading fluency. These results reveal developmental nature of relations and mechanism of text reading fluency in reading development. PMID:26435550

A prospective study of pre-trauma risk factors for post-traumatic stress disorder and depression.

PubMed

Wild, J; Smith, K V; Thompson, E; Béar, F; Lommen, M J J; Ehlers, A

2016-09-01

It is unclear which potentially modifiable risk factors best predict post-trauma psychiatric disorders. We aimed to identify pre-trauma risk factors for post-traumatic stress disorder (PTSD) or major depression (MD) that could be targeted with resilience interventions. Newly recruited paramedics (n = 453) were assessed for history of mental disorders with structured clinical interviews within the first week of their paramedic training and completed self-report measures to assess hypothesized predictors. Participants were assessed every 4 months for 2 years to identify any episodes of PTSD and MD; 386 paramedics (85.2%) participated in the follow-up interviews. In all, 32 participants (8.3%) developed an episode of PTSD and 41 (10.6%) an episode of MD during follow-up. In all but nine cases (2.3%), episodes had remitted by the next assessment 4 months later. At 2 years, those with episodes of PTSD or MD during follow-up reported more days off work, poorer sleep, poorer quality of life, greater burn-out; and greater weight-gain for those with PTSD. In line with theories of PTSD and depression, analyses controlling for psychiatric and trauma history identified several pre-trauma predictors (cognitive styles, coping styles and psychological traits). Logistic regressions showed that rumination about memories of stressful events at the start of training uniquely predicted an episode of PTSD. Perceived resilience uniquely predicted an episode of MD. Participants at risk of developing episodes of PTSD or depression could be identified within the first week of paramedic training. Cognitive predictors of episodes of PTSD and MD are promising targets for resilience interventions.

Hadley circulation extent and strength in a wide range of simulated climates

NASA Astrophysics Data System (ADS)

D'Agostino, Roberta; Adam, Ori; Lionello, Piero; Schneider, Tapio

2017-04-01

Understanding the Hadley circulation (HC) dynamics is crucial because its changes affect the seasonal migration of the ITCZ, the extent of subtropical arid regions and the strength of the monsoons. Despite decades of study, the factors controlling its strength and extent have remained unclear. Here we analyse how HC strength and extent change over a wide range of climate conditions from the Last Glacial Maximum to future projections. The large climate change between paleoclimate simulations and future scenarios offers the chance to analyse robust HC changes and their link to large-scale factors. The HC shrinks and strengthens in the coldest simulation relative to the warmest. A progressive poleward shift of its edges is evident as the climate warms (at a rate of 0.35°lat./K in each hemisphere). The HC extent and strength both depend on the isentropic slope, which in turn is related to the meridional temperature gradient, subtropical static stability and tropopause height. In multiple robust regression analysis using these as predictors, we find that the tropical tropopause height does not add relevant information to the model beyond surface temperature. Therefore, primarily the static stability and secondarily the meridional temperature contrast together account for the bulk of the almost the total HC variance. However, the regressions leave some of the northern HC edge and southern HC strength variance unexplained. The effectiveness of this analysis is limited by the correlation among the predictors and their relationship with mean temperature. In fact, for all simulations, the tropical temperature explains well the variations of HC except its southern hemisphere intensity. Hence, it can be used as the sole predictor to diagnose the HC response to greenhouse-induced global warming. How to account for the evolution of the southern HC strength remains unclear, because of the large inter-model spread in this quantity.

Predictors of Competency to Stand Trial in Connecticut's Inpatient Juvenile Competency Restoration Program.

PubMed

Chien, Joseph; Coker, Kendell L; Parke, Susan; Tejani, Nabyl; Sirken, Remy A; Sanchez-Jaquez, Christina; Rausch, Fernando; Azeem, Muhammad W

2016-12-01

There are substantial differences between adults and juveniles in the context of competency restoration. Among juveniles, factors such as maturity level, age, intellectual functioning, and psychiatric diagnoses may affect competency to stand trial. In this study, subjects included all juveniles who were admitted to the Albert J. Solnit Children's Center for inpatient competency restoration in the period spanning January 1, 2005, through December 31, 2012. Sixty-one juveniles were referred during this period, and 58 were included in the final analyses. Several demographic and clinical variables were tested to identify which factors were associated with successful competency restoration. There was a high rate of psychiatric comorbidity in the sample, with 54 of 58 juveniles (93%), having more than one Axis I disorder. IQ was the only significant predictor of successful competency restoration. These findings suggest that cognitive limitations may be a robust predictor of competency restoration among juveniles who are deemed incompetent to stand trial. Furthermore, policy makers may want to consider more specialized services for youths whose intellectual deficits are severe enough to impact their ability to regain competency. Limitations of this study, policy recommendations, and suggestions for future research are discussed. © 2016 American Academy of Psychiatry and the Law.

Modeling the human development index and the percentage of poor people using quantile smoothing splines

NASA Astrophysics Data System (ADS)

Mulyani, Sri; Andriyana, Yudhie; Sudartianto

2017-03-01

Mean regression is a statistical method to explain the relationship between the response variable and the predictor variable based on the central tendency of the data (mean) of the response variable. The parameter estimation in mean regression (with Ordinary Least Square or OLS) generates a problem if we apply it to the data with a symmetric, fat-tailed, or containing outlier. Hence, an alternative method is necessary to be used to that kind of data, for example quantile regression method. The quantile regression is a robust technique to the outlier. This model can explain the relationship between the response variable and the predictor variable, not only on the central tendency of the data (median) but also on various quantile, in order to obtain complete information about that relationship. In this study, a quantile regression is developed with a nonparametric approach such as smoothing spline. Nonparametric approach is used if the prespecification model is difficult to determine, the relation between two variables follow the unknown function. We will apply that proposed method to poverty data. Here, we want to estimate the Percentage of Poor People as the response variable involving the Human Development Index (HDI) as the predictor variable.

Multivariate Analysis of Conformational Changes Induced by Macromolecular Interactions

NASA Astrophysics Data System (ADS)

Mitra, Indranil; Alexov, Emil

2009-11-01

Understanding protein-protein binding and associated conformational changes is critical for both understanding thermodynamics of protein interactions and successful drug discovery. Our study focuses on computational analysis of plausible correlations between induced conformational changes and set of biophysical characteristics of interacting monomers. It was done by comparing 3D structures of unbound and bound monomers to calculate the RMSD which is used as measure of the structural changed induced by the binding. We correlate RMSD with volumetric and interfacial charge of the monomers, the amino acid composition, the energy of binding, and type of amino acids at the interface. as predictors. The data set was analyzed with SVM in R & SPSS which is trained on a combination of a new robust evolutionary conservation signal with the monomeric properties to predict the induced RMSD. The goal of this study is to undergo parametric tests and heirchiacal cluster and discriminant multivariate analysis to find key predictors which will be used to develop algorithm to predict the magnitude of conformational changes provided by the structure of interacting monomers. Results indicate that the most promising predictor is the net charge of the monomers, however, other parameters as the type of amino acids at the interface have significant contribution as well.

Adverse fetal outcome in road accidents: Injury mechanism study and injury criteria development in a pregnant woman finite element model.

PubMed

Auriault, F; Thollon, L; Pérès, J; Behr, M

2016-12-01

This study documents the development of adverse fetal outcome predictors dedicated to the analysis of road accidents involving pregnant women. To do so, a pre-existing whole body finite element model representative of a 50th percentile 26 weeks pregnant woman was used. A total of 8 accident scenarios were simulated with the model positioned on a sled. Each of these scenarios was associated to a risk of adverse fetal outcome based on results from real car crash investigations involving pregnant women from the literature. The use of airbags and accidents involving unbelted occupants were not considered in this study. Several adverse fetal outcome potential predictors were then evaluated with regard to their correlation to this risk of fetal injuries. Three predictors appeared strongly correlated to the risk of adverse fetal outcome: (1) the intra uterine pressure at the placenta fetal side area (r=0.92), (2) the fetal head acceleration (HIC) (r=0.99) and (3) area of utero-placental interface over a strain threshold (r=0.90). Finally, sensitivity analysis against slight variations of the simulation parameters was performed and assess robustness of these criteria. Copyright © 2016 Elsevier Ltd. All rights reserved.

Predictors of nurse absenteeism in hospitals: a systematic review.

PubMed

Davey, Mandy M; Cummings, Greta; Newburn-Cook, Christine V; Lo, Eliza A

2009-04-01

This study aimed to identify and examine predictors of short-term absences of staff nurses working in hospital settings reported in the research literature. Front-line staff nurse absenteeism contributes to discontinuity of patient care, decreased staff morale and is costly to healthcare. A systematic review of studies from 1986 to 2006, obtained through electronic searches of 10 online databases led to inclusion of 16 peer-reviewed research articles. Seventy potential predictors of absenteeism were examined and analysed using content analysis. Our findings showed that individual 'nurses' prior attendance records', 'work attitudes' (job satisfaction, organizational commitment and work/job involvement) and 'retention factors' reduced nurse absenteeism, whereas 'burnout' and 'job stress' increased absenteeism. Remaining factors examined in the literature did not significantly predict nurse absenteeism. Reasons underlying absenteeism among staff nurses are still poorly understood. Lack of robust theory about nursing absenteeism may underlie the inconsistent results found in this review. Further theory development and research is required to explore the determinants of short-term absenteeism of nurses in acute care hospitals. Work environment factors that increase nurses' job satisfaction, and reduce burnout and job stress need to be considered in managing staff nurse absenteeism.

Motivational predictors of coping with academic examination.

PubMed

Doron, Julie; Stephan, Yannick; Maiano, Christophe; Le Scanff, Christine

2011-01-01

The present study focused on the motivational predictors of coping with academic examination through the test of the contribution of self-determination for academic studies and achievement goals. Coping strategies, academic motivation and achievement goals were assessed among 199 undergraduate students. Regression analysis revealed that problem-focused coping is positively predicted by identified regulation and negatively by amotivation, whereas emotion-focused coping is positively predicted by introjected regulation and amotivation. Mastery approach goals contributed positively to problem-focused coping. Identified regulation and mastery approach goals made a unique positive contribution to problem-focused coping, and amotivation was negatively related. Students' coping actions may vary according to both the reasons why they engage in academic studies and the goals they pursue in this setting.

Physiological reactivity to psychological stress in human pregnancy: current knowledge and future directions.

PubMed

Christian, Lisa M

2012-11-01

Cardiovascular and neuroendocrine reactivity to acute stress are important predictors of health outcomes in non-pregnant populations. Greater magnitude and duration of physiological responses have been associated with increased risk of hypertensive disorders and diabetes, greater susceptibility to infectious illnesses, suppression of cell-mediated immunity as well as risk for depression and anxiety disorders. Stress reactivity during pregnancy has unique implications for maternal health, birth outcomes, and fetal development. However, as compared to the larger literature, our understanding of the predictors and consequences of exaggerated stress reactivity in pregnancy is limited. This paper reviews the current state of this literature with an emphasis on gaps in knowledge and future directions. Copyright © 2012 Elsevier Ltd. All rights reserved.

Model-driven meta-analyses for informing health care: a diabetes meta-analysis as an exemplar.

PubMed

Brown, Sharon A; Becker, Betsy Jane; García, Alexandra A; Brown, Adama; Ramírez, Gilbert

2015-04-01

A relatively novel type of meta-analysis, a model-driven meta-analysis, involves the quantitative synthesis of descriptive, correlational data and is useful for identifying key predictors of health outcomes and informing clinical guidelines. Few such meta-analyses have been conducted and thus, large bodies of research remain unsynthesized and uninterpreted for application in health care. We describe the unique challenges of conducting a model-driven meta-analysis, focusing primarily on issues related to locating a sample of published and unpublished primary studies, extracting and verifying descriptive and correlational data, and conducting analyses. A current meta-analysis of the research on predictors of key health outcomes in diabetes is used to illustrate our main points. © The Author(s) 2014.

The associations of social self-control, personality disorders, and demographics with drug use among high-risk youth.

PubMed

Sussman, Steve; McCuller, William J; Dent, Clyde W

2003-08-01

A 10-item self-report measure of social self-control was examined for its association with substance use, controlling for its associations with 12 personality disorder indices and 4 demographic variables among a sample of 1050 high-risk youth. Social self-control was found to be associated with 30-day cigarette smoking, alcohol use, marijuana use, and hard drug use, controlling for these other variables. The most consistent concurrent predictors of substance use were male gender, antisocial personality disorder, and social self-control. These results highlight the importance of social self-control as a unique concurrent predictor of substance use and suggest that social self-control skill training is relevant in substance abuse prevention programming.

MODEL-DRIVEN META-ANALYSES FOR INFORMING HEALTH CARE: A DIABETES META-ANALYSIS AS AN EXEMPLAR

PubMed Central

Brown, Sharon A.; Becker, Betsy Jane; García, Alexandra A.; Brown, Adama; Ramírez, Gilbert

2015-01-01

A relatively novel type of meta-analysis, a model-driven meta-analysis, involves the quantitative synthesis of descriptive, correlational data and is useful for identifying key predictors of health outcomes and informing clinical guidelines. Few such meta-analyses have been conducted and thus, large bodies of research remain unsynthesized and uninterpreted for application in health care. We describe the unique challenges of conducting a model-driven meta-analysis, focusing primarily on issues related to locating a sample of published and unpublished primary studies, extracting and verifying descriptive and correlational data, and conducting analyses. A current meta-analysis of the research on predictors of key health outcomes in diabetes is used to illustrate our main points. PMID:25142707

A Highly Stretchable and Robust Non-fluorinated Superhydrophobic Surface.

PubMed

Ju, Jie; Yao, Xi; Hou, Xu; Liu, Qihan; Zhang, Yu Shrike; Khademhosseini, Ali

2017-08-21

Superhydrophobic surface simultaneously possessing exceptional stretchability, robustness, and non-fluorination is highly desirable in applications ranging from wearable devices to artificial skins. While conventional superhydrophobic surfaces typically feature stretchability, robustness, or non-fluorination individually, co-existence of all these features still remains a great challenge. Here we report a multi-performance superhydrophobic surface achieved through incorporating hydrophilic micro-sized particles with pre-stretched silicone elastomer. The commercial silicone elastomer (Ecoflex) endowed the resulting surface with high stretchability; the densely packed micro-sized particles in multi-layers contributed to the preservation of the large surface roughness even under large strains; and the physical encapsulation of the microparticles by silicone elastomer due to the capillary dragging effect and the chemical interaction between the hydrophilic silica and the elastomer gave rise to the robust and non-fluorinated superhydrophobicity. It was demonstrated that the as-prepared fluorine-free surface could preserve the superhydrophobicity under repeated stretching-relaxing cycles. Most importantly, the surface's superhydrophobicity can be well maintained after severe rubbing process, indicating wear-resistance. Our novel superhydrophobic surface integrating multiple key properties, i.e. stretchability, robustness, and non-fluorination, is expected to provide unique advantages for a wide range of applications in biomedicine, energy, and electronics.

Dual Task Gait Performance in Frail Individuals with and without Mild Cognitive Impairment.

PubMed

Martínez-Ramírez, Alicia; Martinikorena, Ion; Lecumberri, Pablo; Gómez, Marisol; Millor, Nora; Casas-Herrero, Alvaro; Zambom-Ferraresi, Fabrício; Izquierdo, Mikel

2016-01-01

Several studies have stated that frailty is associated with cognitive impairment. Based on various studies, cognition impairment has been considered as a component of frailty. Other authors have shown that physical frailty is associated with low cognitive performance. Dual task gait tests are used as a strong predictor of falls in either dementia or frailty. Consequently, it is important to investigate dual task walking tests in elderly populations including control robust oldest old, frail oldest old with mild cognitive impairment (MCI) and frail oldest old without MCI. Dual task walking tests were carried out to examine the association between frailty and cognitive impairment in a population with advanced age. Forty-one elderly men and women participated in this study. The subjects from control, frail with MCI and frail without MCI groups, completed the 5-meter walk test at their own gait velocity. Arithmetic and verbal dual task walking performance was also assessed. Kinematic data were acquired from a unique tri-axial inertial sensor. The spatiotemporal and frequency parameters related to gait disorders did not show any significant differences between frail with and without MCI groups. The evaluation of these parameters extracted from the acceleration signals led us to conclude that these results expand the knowledge regarding the common conditions in frailty and MCI and may highlight the idea that the impairment in walking performance does not depend of frailty and cognitive status. © 2016 S. Karger AG, Basel.

Drinking motives as mediators of the impulsivity-substance use relation: pathways for negative urgency, lack of premeditation, and sensation seeking.

PubMed

Adams, Zachary W; Kaiser, Alison J; Lynam, Donald R; Charnigo, Richard J; Milich, Richard

2012-07-01

Trait impulsivity is a reliable, robust predictor of risky, problematic alcohol use. Mounting evidence supports a multidimensional model of impulsivity, whereby several distinct traits serve as personality pathways to rash action. Different impulsivity-related traits may predispose individuals to drink for different reasons (e.g., to enhance pleasure, to cope with distress) and these different motives may, in turn, influence drinking behavior. Previous findings support such a mediational model for two well-studied traits: sensation seeking and lack of premeditation. This study addresses other impulsivity-related traits, including negative urgency. College students (N=432) completed questionnaires assessing personality, drinking motives, and multiple indicators of problematic drinking. Negative urgency, sensation seeking, and lack of premeditation were all significantly related to problematic drinking. When drinking motives were included in the model, direct effects for sensation seeking and lack of premeditation remained significant, and indirect effects of sensation seeking and lack of premeditation on problematic drinking were observed through enhancement motives. A distinct pathway was observed for negative urgency. Negative urgency bore a significant total effect on problematic drinking through both coping and enhancement motives. This study highlights unique motivational pathways through which different impulsive traits may operate, suggesting that interventions aimed at preventing or reducing problematic drinking should be tailored to individuals' personalities. For instance, individuals high in negative urgency may benefit from learning healthier strategies for coping with distress. Copyright © 2012 Elsevier Ltd. All rights reserved.

Drinking Motives as Mediators of the Impulsivity-Substance Use Relation: Pathways for Negative Urgency, Lack of Premeditation, and Sensation Seeking

PubMed Central

Adams, Zachary W.; Kaiser, Alison J.; Lynam, Donald R.; Charnigo, Richard J.; Milich, Richard

2012-01-01

Trait impulsivity is a reliable, robust predictor of risky, problematic alcohol use. Mounting evidence supports a multidimensional model of impulsivity, whereby several distinct traits serve as personality pathways to rash action. Different impulsivity-related traits may predispose individuals to drink for different reasons (e.g., to enhance pleasure, to cope with distress) and these different motives may, in turn, influence drinking behavior. Previous findings support such a mediational model for two well-studied traits: sensation seeking and lack of premeditation. This study addresses other impulsivity-related traits, including negative urgency. College students (N = 432) completed questionnaires assessing personality, drinking motives, and multiple indicators of problematic drinking. Negative urgency, sensation seeking, and lack of premeditation were all significantly related to problematic drinking. When drinking motives were included in the model, direct effects for sensation seeking and lack of premeditation remained significant, and indirect effects of sensation seeking and lack of premeditation on problematic drinking were observed through enhancement motives. A distinct pathway was observed for negative urgency. Negative urgency bore a significant total effect on problematic drinking through both coping and enhancement motives. This study highlights unique motivational pathways through which different impulsive traits may operate, suggesting that interventions aimed at preventing or reducing problematic drinking should be tailored to individuals' personalities. For instance, individuals high in negative urgency may benefit from learning healthier strategies for coping with distress. PMID:22472524

Parent and child cigarette use: a longitudinal, multigenerational study.

PubMed

Vuolo, Mike; Staff, Jeremy

2013-09-01

Using longitudinal data from the multigenerational Youth Development Study (YDS), this article documents how parents' long-term smoking trajectories are associated with adolescent children's likelihood of smoking. Prospective data from the parents (from age 14-38 years) enable unique comparisons of the parents' and children's smoking behavior, as well as that of siblings. Smoking trajectories are constructed using latent class analysis for the original YDS cohort (n = 1010). Multigenerational longitudinal data from 214 parents and 314 offspring ages 11 years and older are then analyzed by using logistic regression with cluster-corrected SEs. Four latent smoking trajectories emerged among the original cohort: stable nonsmokers (54%), early-onset light smokers who quit/reduce (16%), late-onset persistent smokers (14%), and early-onset persistent heavy smokers (16%). Although 8% of children of stable nonsmokers smoked in the last year, the other groups' children had much higher percentages, ranging from 23% to 29%. Multivariate logistic regression models confirm that these significant differences were robust to the inclusion of myriad child- and parent-level measures (for which child age and grade point average [GPA] are significant predictors). Older sibling smoking, however, mediated the link between parental heavy smoking and child smoking. Even in an era of declining rates of teenage cigarette use in the United States, children of current and former smokers face an elevated risk of smoking. Prevention efforts to weaken intergenerational associations should consider parents' long-term cigarette use, as well as the smoking behavior of older siblings in the household.

Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.

PubMed

Shuryak, Igor

2017-01-01

The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties associated with conducting studies in radioactively-polluted areas. Data sets from severely contaminated locations can therefore be small. Moreover, many potentially important factors, such as soil concentrations of toxic chemicals, pH, and temperature, can be correlated with radiation levels and with each other. In such situations, commonly-used statistical techniques like generalized linear models (GLMs) may not be able to provide useful information about how radiation and/or these other variables affect the outcome (e.g. abundance of the studied organisms). Ensemble machine learning methods such as random forests offer powerful alternatives. We propose that analysis of small radioecological data sets by GLMs and/or machine learning can be made more informative by using the following techniques: (1) adding synthetic noise variables to provide benchmarks for distinguishing the performances of valuable predictors from irrelevant ones; (2) adding noise directly to the predictors and/or to the outcome to test the robustness of analysis results against random data fluctuations; (3) adding artificial effects to selected predictors to test the sensitivity of the analysis methods in detecting predictor effects; (4) running a selected machine learning method multiple times (with different random-number seeds) to test the robustness of the detected "signal"; (5) using several machine learning methods to test the "signal's" sensitivity to differences in analysis techniques. Here, we applied these approaches to simulated data, and to two published examples of small radioecological data sets: (I) counts of fungal taxa in samples of soil contaminated by the Chernobyl nuclear power plan accident (Ukraine), and (II) bacterial abundance in soil samples under a ruptured nuclear waste storage tank (USA). We show that the proposed techniques were advantageous compared with the methodology used in the original publications where the data sets were presented. Specifically, our approach identified a negative effect of radioactive contamination in data set I, and suggested that in data set II stable chromium could have been a stronger limiting factor for bacterial abundance than the radionuclides 137Cs and 99Tc. This new information, which was extracted from these data sets using the proposed techniques, can potentially enhance the design of radioactive waste bioremediation.

Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets

PubMed Central

Shuryak, Igor

2017-01-01

The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties associated with conducting studies in radioactively-polluted areas. Data sets from severely contaminated locations can therefore be small. Moreover, many potentially important factors, such as soil concentrations of toxic chemicals, pH, and temperature, can be correlated with radiation levels and with each other. In such situations, commonly-used statistical techniques like generalized linear models (GLMs) may not be able to provide useful information about how radiation and/or these other variables affect the outcome (e.g. abundance of the studied organisms). Ensemble machine learning methods such as random forests offer powerful alternatives. We propose that analysis of small radioecological data sets by GLMs and/or machine learning can be made more informative by using the following techniques: (1) adding synthetic noise variables to provide benchmarks for distinguishing the performances of valuable predictors from irrelevant ones; (2) adding noise directly to the predictors and/or to the outcome to test the robustness of analysis results against random data fluctuations; (3) adding artificial effects to selected predictors to test the sensitivity of the analysis methods in detecting predictor effects; (4) running a selected machine learning method multiple times (with different random-number seeds) to test the robustness of the detected “signal”; (5) using several machine learning methods to test the “signal’s” sensitivity to differences in analysis techniques. Here, we applied these approaches to simulated data, and to two published examples of small radioecological data sets: (I) counts of fungal taxa in samples of soil contaminated by the Chernobyl nuclear power plan accident (Ukraine), and (II) bacterial abundance in soil samples under a ruptured nuclear waste storage tank (USA). We show that the proposed techniques were advantageous compared with the methodology used in the original publications where the data sets were presented. Specifically, our approach identified a negative effect of radioactive contamination in data set I, and suggested that in data set II stable chromium could have been a stronger limiting factor for bacterial abundance than the radionuclides 137Cs and 99Tc. This new information, which was extracted from these data sets using the proposed techniques, can potentially enhance the design of radioactive waste bioremediation. PMID:28068401

Advanced Control Algorithms for Compensating the Phase Distortion Due to Transport Delay in Human-Machine Systems

NASA Technical Reports Server (NTRS)

Guo, Liwen; Cardullo, Frank M.; Kelly, Lon C.

2007-01-01

The desire to create more complex visual scenes in modern flight simulators outpaces recent increases in processor speed. As a result, simulation transport delay remains a problem. New approaches for compensating the transport delay in a flight simulator have been developed and are presented in this report. The lead/lag filter, the McFarland compensator and the Sobiski/Cardullo state space filter are three prominent compensators. The lead/lag filter provides some phase lead, while introducing significant gain distortion in the same frequency interval. The McFarland predictor can compensate for much longer delay and cause smaller gain error in low frequencies than the lead/lag filter, but the gain distortion beyond the design frequency interval is still significant, and it also causes large spikes in prediction. Though, theoretically, the Sobiski/Cardullo predictor, a state space filter, can compensate the longest delay with the least gain distortion among the three, it has remained in laboratory use due to several limitations. The first novel compensator is an adaptive predictor that makes use of the Kalman filter algorithm in a unique manner. In this manner the predictor can accurately provide the desired amount of prediction, while significantly reducing the large spikes caused by the McFarland predictor. Among several simplified online adaptive predictors, this report illustrates mathematically why the stochastic approximation algorithm achieves the best compensation results. A second novel approach employed a reference aircraft dynamics model to implement a state space predictor on a flight simulator. The practical implementation formed the filter state vector from the operator s control input and the aircraft states. The relationship between the reference model and the compensator performance was investigated in great detail, and the best performing reference model was selected for implementation in the final tests. Theoretical analyses of data from offline simulations with time delay compensation show that both novel predictors effectively suppress the large spikes caused by the McFarland compensator. The phase errors of the three predictors are not significant. The adaptive predictor yields greater gain errors than the McFarland predictor for short delays (96 and 138 ms), but shows smaller errors for long delays (186 and 282 ms). The advantage of the adaptive predictor becomes more obvious for a longer time delay. Conversely, the state space predictor results in substantially smaller gain error than the other two predictors for all four delay cases.

Silyl Radical Activation of Alkyl Halides in Metallaphotoredox Catalysis: A Unique Pathway for Cross-Electrophile Coupling.

PubMed

Zhang, Patricia; Le, Chi Chip; MacMillan, David W C

2016-07-06

A strategy for cross-electrophile coupling has been developed via the merger of photoredox and transition metal catalysis. In this report, we demonstrate the use of commercially available tris(trimethylsilyl)silane with metallaphotoredox catalysis to efficiently couple alkyl bromides with aryl or heteroaryl bromides in excellent yields. We hypothesize that a photocatalytically generated silyl radical species can perform halogen-atom abstraction to activate alkyl halides as nucleophilic cross-coupling partners. This protocol allows the use of mild yet robust conditions to construct Csp(3)-Csp(2) bonds generically via a unique cross-coupling pathway.

Computing Robust, Bootstrap-Adjusted Fit Indices for Use with Nonnormal Data

ERIC Educational Resources Information Center

Walker, David A.; Smith, Thomas J.

2017-01-01

Nonnormality of data presents unique challenges for researchers who wish to carry out structural equation modeling. The subsequent SPSS syntax program computes bootstrap-adjusted fit indices (comparative fit index, Tucker-Lewis index, incremental fit index, and root mean square error of approximation) that adjust for nonnormality, along with the…

Discovery of an acidic, thermostable and highly NADP+ dependent formate dehydrogenase from Lactobacillus buchneri NRRL B-30929

USDA-ARS?s Scientific Manuscript database

Objectives: To identify a robust NADP+ dependent formate dehydrogenase from Lactobacillus buchneri NRRL B-30929 (LbFDH) with unique biochemical properties. Results: A new NADP+ dependent formate dehydrogenase gene (fdh) was cloned from genomic DNA of L. buchneri NRRL B-30929. The recombinant constru...

Leadership: Theory and Practice. Sixth Edition

ERIC Educational Resources Information Center

Northouse, Peter G.

2012-01-01

Adopted at more than 1,000 colleges and universities worldwide, the market-leading text owes its success to the unique way in which it combines an academically robust account of the major theories and models of leadership with an accessible style and practical exercises that help students apply what they learn. Each chapter of Peter…

History, Context, and Policies of a Learning Object Repository

ERIC Educational Resources Information Center

Simpson, Steven Marshall

2016-01-01

Learning object repositories, a form of digital libraries, are robust systems that provide educators new ways to search for educational resources, collaborate with peers, and provide instruction to students in unique and varied ways. This study examines a learning object repository created by a large suburban school district to increase teaching…

The Metropolitan Studies Institute at USC Upstate: Translational Research that Drives Community Decision-Making

ERIC Educational Resources Information Center

Brady, Kathleen

2012-01-01

The Metropolitan Studies Institute (MSI) at the University of South Carolina Upstate (USC Upstate) demonstrates a robust and unique record of community impact through community indicators research and other translational research. The MSI's work drives programmatic priorities and funding decisions, generates revenue, and increases the community's…

The Pearson-Readhead AGN Survey

NASA Astrophysics Data System (ADS)

Lister, M. L.

2009-08-01

The Pearson-Readhead survey of active galactic nuclei (AGN) was the first complete sample to be studied by VLBI, and was the subject of a detailed investigation by the VSOP program. We discuss the scientific findings from this unique survey, and how it has provided robust confirmation of the relativistic beaming model for AGN jets.

Facile fabrication of robust TiO2@SnO2@C hollow nanobelts for outstanding lithium storage

NASA Astrophysics Data System (ADS)

Tian, Qinghua; Li, Lingxiangyu; Chen, Jizhang; Yang, Li; Hirano, Shin-ichi

2018-02-01

Elaborate fabrication of state-of-the-art nanostructure SnO2@C-based composites greatly contributes to alleviate the huge volume expansion issue of the SnO2 anodes. But the preparation processes of most of them are complicated and tedious, which is generally adverse to the development of SnO2@C-based composite anodes. Herein, a unique nanostructure of TiO2@SnO2@C hollow nanobelts (TiO2@SnO2@C HNBs), including the characteristics of one-dimensional architecture, sandwich protection, hollow structure, carbon coating, and a mechanically robust TiO2 support, has been fabricated by a facile approach for the first time. As anodes for lithium-ion batteries, the as-fabricated TiO2@SnO2@C HNBs exhibit an outstanding lithium storage performance, delivering capacity of 804.6 and 384. 5 mAh g-1 at 200 and even 1000 mA g-1 after 500 cycles, respectively. It is demonstrated that thus outstanding performance is mainly attributed to the unique nanostructure of TiO2@SnO2@C HNBs.

Geometry in Biomimetic Network: Double Gyroid to Pseudo-Single Gyroid in Nanohybrid Materials

NASA Astrophysics Data System (ADS)

Hsueh, Han-Yu; Ho, Rong-Ming; Hung, Yu-Chueh; Ling, Yi-Chun; Hasegawa, Hirokazu

2013-03-01

Biological systems have developed delicately arranged micro- and architectures to produce striking optical effects since millions of years ago. Inspired by the textures of butterfly wings with single gyroid (SG) structure, herein, we aim to fabricate biocompatible and robust materials with SG-like structure in nanometer size so as to give new materials with unprecedented optical properties for applications. Biommicking from the biological photonic structures of butterfly wings, a double gyroid (DG) structure in nanometer size is obtained from the self-assembly of polystyrene-b-poly(L-lactide) (PS-PLLA). To acquire robust backbone networks, inorganic networks in polymer matrix are fabricated by using the hydrolyzed PS-PLLA with DG structure as a template for sol-gel reaction. Owing to the soft polymer matrix, two co-continuous inorganic networks embedded in the polymer matrix can be rearranged by thermal annealing at temperature above the glass transition of the polymer. Consequently, the rearrangement of these inorganic networks leads the formation of SG-like structure possessing unique nanohybrids with ordered texture. This unique nanomaterials with SG-like structure is referred as a pseudo-SG (p-SG) nanohybrids.

TH-E-BRF-04: Characterizing the Response of Texture-Based CT Image Features for Quantification of Radiation-Induced Normal Lung Damage

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

Krafft, S; Court, L; Briere, T

2014-06-15

Purpose: Radiation induced lung damage (RILD) is an important dose-limiting toxicity for patients treated with radiation therapy. Scoring systems for RILD are subjective and limit our ability to find robust predictors of toxicity. We investigate the dose and time-related response for texture-based lung CT image features that serve as potential quantitative measures of RILD. Methods: Pre- and post-RT diagnostic imaging studies were collected for retrospective analysis of 21 patients treated with photon or proton radiotherapy for NSCLC. Total lung and selected isodose contours (0–5, 5–15, 15–25Gy, etc.) were deformably registered from the treatment planning scan to the pre-RT and availablemore » follow-up CT studies for each patient. A CT image analysis framework was utilized to extract 3698 unique texture-based features (including co-occurrence and run length matrices) for each region of interest defined by the isodose contours and the total lung volume. Linear mixed models were fit to determine the relationship between feature change (relative to pre-RT), planned dose and time post-RT. Results: Seventy-three follow-up CT scans from 21 patients (median: 3 scans/patient) were analyzed to describe CT image feature change. At the p=0.05 level, dose affected feature change in 2706 (73.1%) of the available features. Similarly, time affected feature change in 408 (11.0%) of the available features. Both dose and time were significant predictors of feature change in a total of 231 (6.2%) of the extracted image features. Conclusion: Characterizing the dose and time-related response of a large number of texture-based CT image features is the first step toward identifying objective measures of lung toxicity necessary for assessment and prediction of RILD. There is evidence that numerous features are sensitive to both the radiation dose and time after RT. Beyond characterizing feature response, further investigation is warranted to determine the utility of these features as surrogates of clinically significant lung injury.« less

Reliable Multi-Label Learning via Conformal Predictor and Random Forest for Syndrome Differentiation of Chronic Fatigue in Traditional Chinese Medicine

PubMed Central

Wang, Huazhen; Liu, Xin; Lv, Bing; Yang, Fan; Hong, Yanzhu

2014-01-01

Objective Chronic Fatigue (CF) still remains unclear about its etiology, pathophysiology, nomenclature and diagnostic criteria in the medical community. Traditional Chinese medicine (TCM) adopts a unique diagnostic method, namely ‘bian zheng lun zhi’ or syndrome differentiation, to diagnose the CF with a set of syndrome factors, which can be regarded as the Multi-Label Learning (MLL) problem in the machine learning literature. To obtain an effective and reliable diagnostic tool, we use Conformal Predictor (CP), Random Forest (RF) and Problem Transformation method (PT) for the syndrome differentiation of CF. Methods and Materials In this work, using PT method, CP-RF is extended to handle MLL problem. CP-RF applies RF to measure the confidence level (p-value) of each label being the true label, and then selects multiple labels whose p-values are larger than the pre-defined significance level as the region prediction. In this paper, we compare the proposed CP-RF with typical CP-NBC(Naïve Bayes Classifier), CP-KNN(K-Nearest Neighbors) and ML-KNN on CF dataset, which consists of 736 cases. Specifically, 95 symptoms are used to identify CF, and four syndrome factors are employed in the syndrome differentiation, including ‘spleen deficiency’, ‘heart deficiency’, ‘liver stagnation’ and ‘qi deficiency’. The Results CP-RF demonstrates an outstanding performance beyond CP-NBC, CP-KNN and ML-KNN under the general metrics of subset accuracy, hamming loss, one-error, coverage, ranking loss and average precision. Furthermore, the performance of CP-RF remains steady at the large scale of confidence levels from 80% to 100%, which indicates its robustness to the threshold determination. In addition, the confidence evaluation provided by CP is valid and well-calibrated. Conclusion CP-RF not only offers outstanding performance but also provides valid confidence evaluation for the CF syndrome differentiation. It would be well applicable to TCM practitioners and facilitate the utilities of objective, effective and reliable computer-based diagnosis tool. PMID:24918430

A cross-cultural investigation into the relationships among parental support for basic psychological needs, sense of uniqueness, and happiness.

PubMed

Simşek, Omer Faruk; Demir, Melikşah

2014-01-01

A significant number of empirical studies have reported that parental support for basic psychological needs is a robust correlate of adolescent happiness. Yet, less is known about the mechanisms responsible for this link. The present study proposed a model suggesting that personal sense of uniqueness explains why satisfaction of basic psychological needs in parent-child relationships is related to happiness. This mediational model was tested among late adolescents in Turkey and the United States. Analyses relying on structural equation modeling and bootstrapping supported the model in both cultures. Implications of the findings for theory and cross-cultural research are discussed. Directions for future research that could improve our understanding of the dynamic interplay between basic needs, sense of uniqueness and well-being are provided.

Teachers' Autonomy Support, Autonomy Suppression and Conditional Negative Regard as Predictors of Optimal Learning Experience among High-Achieving Bedouin Students

ERIC Educational Resources Information Center

Kaplan, Haya

2018-01-01

The study is based on self-determination theory and focuses on the motivation of high-achieving Bedouin students who belong to a hierarchical-collectivist society. The study focuses on the question: What are the relations between teachers' autonomy support and control and an optimal learning experience among students? The study is unique in its…

Smoke Signals: Adolescent Smoking and School Continuation. Working Papers Series. SAN06-05

ERIC Educational Resources Information Center

Cook, Philip J.; Hutchinson, Rebecca

2006-01-01

This paper presents an exploratory analysis using NLSY97 data of the relationship between the likelihood of school continuation and the choices of whether to smoke or drink. We demonstrate that in the United States as of the late 1990s, smoking in 11th-grade was a uniquely powerful predictor of whether the student finished high school, and if so…

Hope and hopelessness as predictors of suicide ideation in Hungarian college students.

PubMed

Chang, Edward C

2017-08-01

This study investigated whether hopelessness and dispositional hope predict suicide ideation in 395 Hungarian college students. Both hopelessness and hope uniquely predicted suicide ideation, a pattern that remained unchanged even after controlling for psychological symptoms. Moreover, a significant Hopelessness × Hope interaction predicted suicide ideation. Present findings highlight how hope buffers the association between hopelessness and suicide risk in college students.

Using Student Characteristics in an Institutional Context to Examine Predictors of a Community College Student Passing a Developmental Education Course: A Multilevel Analysis

ERIC Educational Resources Information Center

Huneycutt Sullivan, Kristie

2010-01-01

Community colleges are uniquely charged with providing postsecondary educational opportunities to students who are generally the least prepared to receive them (Rosenbaum, 2007). To increase access and success, community colleges offer a variety of pre-college level courses often paired with academic and student services. The courses and services…

Evaluation of the Bitterness of Traditional Chinese Medicines using an E-Tongue Coupled with a Robust Partial Least Squares Regression Method.

PubMed

Lin, Zhaozhou; Zhang, Qiao; Liu, Ruixin; Gao, Xiaojie; Zhang, Lu; Kang, Bingya; Shi, Junhan; Wu, Zidan; Gui, Xinjing; Li, Xuelin

2016-01-25

To accurately, safely, and efficiently evaluate the bitterness of Traditional Chinese Medicines (TCMs), a robust predictor was developed using robust partial least squares (RPLS) regression method based on data obtained from an electronic tongue (e-tongue) system. The data quality was verified by the Grubb's test. Moreover, potential outliers were detected based on both the standardized residual and score distance calculated for each sample. The performance of RPLS on the dataset before and after outlier detection was compared to other state-of-the-art methods including multivariate linear regression, least squares support vector machine, and the plain partial least squares regression. Both R² and root-mean-squares error (RMSE) of cross-validation (CV) were recorded for each model. With four latent variables, a robust RMSECV value of 0.3916 with bitterness values ranging from 0.63 to 4.78 were obtained for the RPLS model that was constructed based on the dataset including outliers. Meanwhile, the RMSECV, which was calculated using the models constructed by other methods, was larger than that of the RPLS model. After six outliers were excluded, the performance of all benchmark methods markedly improved, but the difference between the RPLS model constructed before and after outlier exclusion was negligible. In conclusion, the bitterness of TCM decoctions can be accurately evaluated with the RPLS model constructed using e-tongue data.

Student-directed retrieval practice is a predictor of medical licensing examination performance.

PubMed

Deng, Francis; Gluckstein, Jeffrey A; Larsen, Douglas P

2015-12-01

A large body of evidence indicates that retrieval practice (test-enhanced learning) and spaced repetition increase long-term information retention. Implementation of these strategies in medical curricula is unfortunately limited. However, students may choose to apply them autonomously when preparing for high-stakes, cumulative assessments, such as the United States Medical Licensing Examination Step 1. We examined the prevalence of specific self-directed methods of testing, with or without spaced repetition, among preclinical students and assessed the relationship between these methods and licensing examination performance. Seventy-two medical students at one institution completed a survey concerning their use of user-generated (Anki) or commercially-available (Firecracker) flashcards intended for spaced repetition and of boards-style multiple-choice questions (MCQs). Other information collected included Step 1 score, past academic performance (Medical College Admission Test [MCAT] score, preclinical grades), and psychological factors that may have affected exam preparation or performance (feelings of depression, burnout, and test anxiety). All students reported using practice MCQs (mean 3870, SD 1472). Anki and Firecracker users comprised 31 and 49 % of respondents, respectively. In a multivariate regression model, significant independent predictors of Step 1 score included MCQs completed (unstandardized beta coefficient [B] = 2.2 × 10 - 3 , p < 0.001), unique Anki flashcards seen (B = 5.9 × 10 - 4 , p = 0.024), second-year honours (B = 1.198, p = 0.002), and MCAT score (B = 1.078, p = 0.003). Test anxiety was a significant negative predictor (B= - 1.986, p < 0.001). Unique Firecracker flashcards seen did not predict Step 1 score. Each additional 445 boards-style practice questions or 1700 unique Anki flashcards was associated with an additional point on Step 1 when controlling for other academic and psychological factors. Medical students engage extensively in self-initiated retrieval practice, often with spaced repetition. These practices are associated with superior performance on a medical licensing examination and should be considered for formal support by educators.

Adiposity and Chronic Inflammation in Young Women Predict Inflammation during Normal Pregnancy in the Philippines.

PubMed

McDade, Thomas W; Borja, Judith B; Largado, Fe; Adair, Linda S; Kuzawa, Christopher W

2016-02-01

Rates of overweight and obesity are on the rise globally, and excess adipose tissue may contribute to elevations in inflammation during pregnancy, leading to pregnancy complications and adverse birth outcomes. The purpose of this study was to evaluate adiposity and inflammation in young women as predictors of inflammation in the third trimester of pregnancy in a community-based sample of healthy women. Female participants (24-30 y) in a prospective observational cohort study (Cebu Longitudinal Health and Nutrition Survey) were contacted between 2009 and 2014 to identify new pregnancies. A total of 309 women provided data from 409 pregnancies. An in-home interview was scheduled for the third trimester to collect pregnancy information, anthropometric measurements, and a blood sample. Circulating C-reactive protein (CRP) was measured with a high-sensitivity immunoassay. Data collected from assessments in 2005 and 2009 were used to assess body mass index (BMI) and CRP in young adulthood, before pregnancy. Robust regression models were implemented to evaluate BMI and CRP in young adulthood as predictors of pregnancy CRP. Pre-pregnancy BMI was a stronger predictor of third-trimester circulating CRP than BMI in the third trimester. No association was found between pregnancy weight gain and CRP. Pre-pregnancy CRP was a significant predictor of CRP in pregnancy, independent of BMI. Levels of overweight/obesity and inflammation in young adulthood, before pregnancy, are important predictors of inflammation in the third trimester of pregnancy. These results may have implications for addressing the growing concern about the contribution of obesity to adverse birth outcomes, and they suggest that factors that influence the regulation of inflammation, before pregnancy and independent of adiposity, may be important in shaping the inflammatory response to pregnancy. © 2016 American Society for Nutrition.

Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2

NASA Astrophysics Data System (ADS)

Kurkcuoglu, Zeynep; Koukos, Panagiotis I.; Citro, Nevia; Trellet, Mikael E.; Rodrigues, J. P. G. L. M.; Moreira, Irina S.; Roel-Touris, Jorge; Melquiond, Adrien S. J.; Geng, Cunliang; Schaarschmidt, Jörg; Xue, Li C.; Vangone, Anna; Bonvin, A. M. J. J.

2018-01-01

We present the performance of HADDOCK, our information-driven docking software, in the second edition of the D3R Grand Challenge. In this blind experiment, participants were requested to predict the structures and binding affinities of complexes between the Farnesoid X nuclear receptor and 102 different ligands. The models obtained in Stage1 with HADDOCK and ligand-specific protocol show an average ligand RMSD of 5.1 Å from the crystal structure. Only 6/35 targets were within 2.5 Å RMSD from the reference, which prompted us to investigate the limiting factors and revise our protocol for Stage2. The choice of the receptor conformation appeared to have the strongest influence on the results. Our Stage2 models were of higher quality (13 out of 35 were within 2.5 Å), with an average RMSD of 4.1 Å. The docking protocol was applied to all 102 ligands to generate poses for binding affinity prediction. We developed a modified version of our contact-based binding affinity predictor PRODIGY, using the number of interatomic contacts classified by their type and the intermolecular electrostatic energy. This simple structure-based binding affinity predictor shows a Kendall's Tau correlation of 0.37 in ranking the ligands (7th best out of 77 methods, 5th/25 groups). Those results were obtained from the average prediction over the top10 poses, irrespective of their similarity/correctness, underscoring the robustness of our simple predictor. This results in an enrichment factor of 2.5 compared to a random predictor for ranking ligands within the top 25%, making it a promising approach to identify lead compounds in virtual screening.

Do cell phones, iPods/MP3 players, siblings and friends matter? Predictors of child body mass in a U.S. Southern Border City Middle School.

PubMed

Ynalvez, Marcus Antonius; Ynalvez, Ruby; Torregosa, Marivic; Palacios, Horacio; Kilburn, John

2012-01-01

This study examines the association of children's (i) micro-social environment, specifically siblings [kin-friends] and friends from school and neighborhood [non-kin-friends], and (ii) ownership of information and communication technologies (ICT), specifically cell phones and iPod/MP3 players, with body mass index percentile (BMIp). Fifty-five randomly selected 6th graders with a mean age of 12 years, stratified by gender (23 boys and 32 girls), from a Texas middle school located in a city along the U.S. southern border. The linear regression of BMIp on number of siblings and of non-kin-friends, and ownership of cell phone and of iPod/MP3 player was examined using two models: M1 was based on the manual selection of predictors from a pool of potential predictors. M2 was derived from the predictors specified in M1 using backward elimination technique. Because sample size was small, the significance of regression coefficients was evaluated using robust standard errors to calculate t-values. Data for predictors were obtained through a survey. Height and weight were obtained through actual anthropometric measurements. BMIp was calculated using the on-line BMI calculator of the Center for Disease Control and Prevention. Findings reveal that children's social environment and ICT ownership predict BMIp; specifically, number of siblings (M2: β = -0.34, p-value < .001), and ownership of iPod/MP3 players (M2: β = 0.33, p-value < .001). These results underscore the importance of family in configuring, and of new personal technical devices (that encourage solitary, and oftentimes sedentary, activities) in predicting child body mass. © 2012 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.

Observation of topologically protected bound states in photonic quantum walks.

PubMed

Kitagawa, Takuya; Broome, Matthew A; Fedrizzi, Alessandro; Rudner, Mark S; Berg, Erez; Kassal, Ivan; Aspuru-Guzik, Alán; Demler, Eugene; White, Andrew G

2012-06-06

Topological phases exhibit some of the most striking phenomena in modern physics. Much of the rich behaviour of quantum Hall systems, topological insulators, and topological superconductors can be traced to the existence of robust bound states at interfaces between different topological phases. This robustness has applications in metrology and holds promise for future uses in quantum computing. Engineered quantum systems--notably in photonics, where wavefunctions can be observed directly--provide versatile platforms for creating and probing a variety of topological phases. Here we use photonic quantum walks to observe bound states between systems with different bulk topological properties and demonstrate their robustness to perturbations--a signature of topological protection. Although such bound states are usually discussed for static (time-independent) systems, here we demonstrate their existence in an explicitly time-dependent situation. Moreover, we discover a new phenomenon: a topologically protected pair of bound states unique to periodically driven systems.

Predictors of treatment attrition and treatment length in Parent-Child Interaction Therapy in Taiwanese families✩,✩✩

PubMed Central

Chen, Yi-Chuen; Fortson, Beverly L.

2015-01-01

Parent–Child Interaction Therapy (PCIT) has been used successfully in the United States and in other countries around the world, but its use in Asian countries has been more limited. The present study is the first of its kind to examine the predictors of treatment attrition and length in a sample of Taiwanese caregivers and their children. It is also the first to examine PCIT outcomes in Taiwanese families. Maladaptive personality characteristics of the caregiver were the best predictor of attrition, followed by single-parent, removal of the child from the home, and lower levels of caregiver education. Treatment length was predicted by child minority status and parent–child interactions (i.e., parent commands and negative parent talk). In terms of outcomes, statistically significant treatment changes were noted for all treatment outcome variables at post-treatment and at 3-month follow-up. These findings suggest that PCIT is a promising intervention for this population. The predictors of treatment attrition and length can be used when Taiwanese caregiver–child dyads present for services so that additional assistance can be provided prior to or during treatment to increase adherence to the recommended number of treatment sessions for maximal impact. Future studies may replicate the present study with a larger clinical sample to examine the long-term effects of PCIT and to include a no-treatment control condition to afford a more robust empirical evaluation. PMID:26705373

An investigation of maternal food intake and maternal food talk as predictors of child food intake.

PubMed

DeJesus, Jasmine M; Gelman, Susan A; Viechnicki, Gail B; Appugliese, Danielle P; Miller, Alison L; Rosenblum, Katherine L; Lumeng, Julie C

2018-08-01

Though parental modeling is thought to play a critical role in promoting children's healthy eating, little research has examined maternal food intake and maternal food talk as independent predictors of children's food intake. The present study examines maternal food talk during a structured eating protocol, in which mothers and their children had the opportunity to eat a series of familiar and unfamiliar vegetables and desserts. Several aspects of maternal talk during the protocol were coded, including overall food talk, directives, pronoun use, and questions. This study analyzed the predictors of maternal food talk and whether maternal food talk and maternal food intake predicted children's food intake during the protocol. Higher maternal body mass index (BMI) predicted lower amounts of food talk, pronoun use, and questions. Higher child BMI z-scores predicted more first person pronouns and more wh-questions within maternal food talk. Mothers of older children used fewer directives, fewer second person pronouns, and fewer yes/no questions. However, maternal food talk (overall and specific types of food talk) did not predict children's food intake. Instead, the most robust predictor of children's food intake during this protocol was the amount of food that mothers ate while sitting with their children. These findings emphasize the importance of modeling healthy eating through action and have implications for designing interventions to provide parents with more effective tools to promote their children's healthy eating. Copyright © 2018 Elsevier Ltd. All rights reserved.

Chronic and Episodic Interpersonal Stress as Statistically Unique Predictors of Depression in Two Samples of Emerging Adults

PubMed Central

Vrshek-Schallhorn, Suzanne; Stroud, Catherine B.; Mineka, Susan; Hammen, Constance; Zinbarg, Richard; Wolitzky-Taylor, Kate; Craske, Michelle G.

2016-01-01

Few studies comprehensively evaluate which types of life stress are most strongly associated with depressive episode onsets, over and above other forms of stress, and comparisons between acute and chronic stress are particularly lacking. Past research implicates major (moderate to severe) stressful life events (SLEs), and to a lesser extent, interpersonal forms of stress; research conflicts on whether dependent or independent SLEs are more potent, but theory favors dependent SLEs. The present study used five years of annual diagnostic and life stress interviews of chronic stress and SLEs from two separate samples (Sample 1 N = 432; Sample 2 N = 146) transitioning into emerging adulthood; one sample also collected early adversity interviews. Multivariate analyses simultaneously examined multiple forms of life stress to test hypotheses that all major SLEs, then particularly interpersonal forms of stress, and then dependent SLEs would contribute unique variance to major depressive episode (MDE) onsets. Person-month survival analysis consistently implicated chronic interpersonal stress and major interpersonal SLEs as statistically unique predictors of risk for MDE onset. In addition, follow-up analyses demonstrated temporal precedence for chronic stress; tested differences by gender; showed that recent chronic stress mediates the relationship between adolescent adversity and later MDE onsets; and revealed interactions of several forms of stress with socioeconomic status (SES). Specifically, as SES declined, there was an increasing role for non-interpersonal chronic stress and non-interpersonal major SLEs, coupled with a decreasing role for interpersonal chronic stress. Implications for future etiological research were discussed. PMID:26301973

Early social behaviors and the trajectory of peer victimization across the school years.

PubMed

Sugimura, Niwako; Berry, Daniel; Troop-Gordon, Wendy; Rudolph, Karen D

2017-08-01

Research has established that long-term exposure to peer victimization is associated with higher levels of emotional and behavioral maladjustment. Yet, relatively little is known regarding predictors of stable versus declining victimization across extended periods of time. To fill this knowledge gap, the present study used latent growth curve modeling to examine the separate and unique contributions of 3 early social behaviors in 2nd grade (aggression, anxious solitude, and prosocial behavior) to victimization across 2nd to 8th grade. Five hundred and 76 youth (M = 7.96 years, SD = .34) reported their level of exposure to victimization once a year from 2nd to 8th grade, and their teachers rated each youth on the 3 social behaviors in 2nd grade. When examined separately, the analyses revealed that (a) all 3 social behaviors contributed to 2nd-grade victimization; (b) anxious solitude and prosocial behavior contributed to the trajectory of victimization differently for boys and girls; and (c) aggression and anxious solitude contributed to significantly different levels of 8th-grade victimization in girls. Of interest, some effects were stronger in boys during elementary school and others were stronger in girls after the transition to middle school. When examined simultaneously, aggression remained the only significant predictor of 2nd-grade victimization; both anxious solitude and prosocial behavior uniquely predicted the trajectory of victimization, and aggression and anxious solitude uniquely predicted 8th-grade victimization in girls. Results are discussed with regard to prevention of prolonged victimization, with attention to gender differences. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Predicting Word Reading and Comprehension with Executive Function and Speed Measures Across Development: A Latent Variable Analysis

PubMed Central

Christopher, Micaela E.; Miyake, Akira; Keenan, Janice M.; Pennington, Bruce; DeFries, John C.; Wadsworth, Sally J.; Willcutt, Erik; Olson, Richard K.

2012-01-01

The present study explored whether different executive control and speed measures (working memory, inhibition, processing speed, and naming speed) independently predict individual differences in word reading and reading comprehension. Although previous studies suggest these cognitive constructs are important for reading, we analyze the constructs simultaneously to test whether each is a unique predictor. We used latent variables from 483 participants (ages 8 to 16) to portion each cognitive and reading construct into its unique and shared variance. In these models we address two specific issues: (a) given that our wide age range may span the theoretical transition from “learning to read” to “reading to learn,” we first test whether the relation between word reading and reading comprehension is stable across two age groups (ages 8 to 10 and 11 to 16); and (b) the main theoretical question of interest: whether what is shared and what is separable for word reading and reading comprehension are associated with individual differences in working memory, inhibition, and measures of processing and naming speed. The results indicated that: (a) the relation between word reading and reading comprehension is largely invariant across the age groups; (b) working memory and general processing speed, but not inhibition or the speeded naming of non-alphanumeric stimuli, are unique predictors of both word reading and comprehension, with working memory equally important for both reading abilities and processing speed more important for word reading. These results have implications for understanding why reading comprehension and word reading are highly correlated yet separable. PMID:22352396

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

PubMed

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

2014-01-01

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

Low back pain at school: unique risk deriving from unsatisfactory grade in maths and school-type recommendation.

PubMed

Erne, Cordula; Elfering, Achim

2011-12-01

Psychosocial stress and pain may relate to educational selection. At the end of primary school (International Standard Classification of Education: ISCED level 1) children are recommended for one of three performance-based lower secondary level types of school (ISCED level 2). The study examines the association of educational selection and other risk factors with pain in the upper back (UBP), lower back pain (LBP), peripheral (limb) pain (PP), and abdominal pain (AP). Teacher reports of unsatisfactory grades in mathematics, and official school-type recommendation are included as objective psychosocial risk factors. One hundred and ninety-two schoolchildren, aged between 10 and 13 from 11 classes of 7 schools in Switzerland participated in the cross-sectional study. In logistic regression analysis, predictor variables included age, sex, BMI, participation in sport, physical mobility, weight of satchel, hours of daily TV, video, and computer use, pupils' back pain reported by the mother and father, psychosocial strain, unsatisfactory grade in mathematics, and school-type recommendation. Analysis of pain drawings was highly reliable and revealed high prevalence rates of musculoskeletal pain in the last 4 weeks (UBP 15.3%, LBP 13:8%, PP 33.9%, AP 20.1%). Psychosocial risk factors were uniquely significant predictors of UBP (psychosocial strain), LBP (psychosocial strain, unsatisfactory grade in mathematics, school-type recommendation), and AP (school-type recommendation). In conclusion, selection in terms of educational school system was uniquely associated with LBP in schoolchildren. Stress caused by educational selection should be addressed in primary prevention of musculoskeletal pain in schoolchildren.

Predictors of First-Onset Substance Use Disorders During the Prospective Course of Bipolar Spectrum Disorders in Adolescents

PubMed Central

Goldstein, Benjamin I.; Strober, Michael; Axelson, David; Goldstein, Tina R.; Gill, Mary Kay; Hower, Heather; Dickstein, Daniel; Hunt, Jeffrey; Yen, Shirley; Kim, Eunice; Ha, Wonho; Liao, Fangzi; Fan, Jieyu; Iyengar, Satish; Ryan, Neal D.; Keller, Martin B.; Birmaher, Boris

2013-01-01

Objective Substance use disorders (SUD) are common and problematic in bipolar disorder (BP). We prospectively examined predictors of first-onset SUD among adolescents with BP. Method Adolescents (12–17 years old; N=167) in the Course and Outcome of Bipolar Youth (COBY) study fulfilling criteria for BP-I, BP-II, or operationalized BP not otherwise specified, without SUD at intake, were included. Baseline demographic, clinical, and family history variables, and clinical variables assessed during follow-up, were examined in relation to first-onset SUD. Participants were prospectively interviewed every 38.5±22.2 weeks for an average of 4.25±2.11 years. Results First-onset SUD developed among 32% of subjects, after a mean of 2.7±2.0 years from intake. Lifetime alcohol experimentation at intake most robustly predicted first-onset SUD. Lifetime oppositional defiant disorder and panic disorder, family history of SUD, low family cohesiveness, and absence of antidepressant treatment at intake were also associated with increased risk of SUD, whereas BP subtype was not. Risk of SUD increased with increasing number of these six predictors: 54.7% of subjects with ≥3 predictors developed SUD vs. 14.1% of those with <3 predictors (Hazard Ratio 5.41 95% CI 2.7–11.0 p<0.0001). Greater hypo/manic symptom severity in the preceding 12 weeks predicted greater likelihood of SUD onset. Lithium exposure in the preceding 12 weeks predicted lower likelihood of SUD. Conclusions This study identifies several predictors of first-onset SUD in the COBY sample which, if replicated, may suggest targets of preventive interventions for SUD among youth with BP. Treatment-related findings are inconclusive and must be interpreted tentatively given the limitations of observational naturalistic treatment data. There is a substantial window of opportunity between BP and SUD onset during which preventive strategies may be employed. PMID:24074469

Is the Speech Transmission Index (STI) a robust measure of sound system speech intelligibility performance?

NASA Astrophysics Data System (ADS)

Mapp, Peter

2002-11-01

Although RaSTI is a good indicator of the speech intelligibility capability of auditoria and similar spaces, during the past 2-3 years it has been shown that RaSTI is not a robust predictor of sound system intelligibility performance. Instead, it is now recommended, within both national and international codes and standards, that full STI measurement and analysis be employed. However, new research is reported, that indicates that STI is not as flawless, nor robust as many believe. The paper highlights a number of potential error mechanisms. It is shown that the measurement technique and signal excitation stimulus can have a significant effect on the overall result and accuracy, particularly where DSP-based equipment is employed. It is also shown that in its current state of development, STI is not capable of appropriately accounting for a number of fundamental speech and system attributes, including typical sound system frequency response variations and anomalies. This is particularly shown to be the case when a system is operating under reverberant conditions. Comparisons between actual system measurements and corresponding word score data are reported where errors of up to 50 implications for VA and PA system performance verification will be discussed.

Robust shifts in S100a9 expression with aging: a novel mechanism for chronic inflammation.

PubMed

Swindell, William R; Johnston, Andrew; Xing, Xianying; Little, Andrew; Robichaud, Patrick; Voorhees, John J; Fisher, Gary; Gudjonsson, Johann E

2013-01-01

The S100a8 and S100a9 genes encode a pro-inflammatory protein (calgranulin) that has been implicated in multiple diseases. However, involvement of S100a8/a9 in the basic mechanisms of intrinsic aging has not been established. In this study, we show that shifts in the abundance of S100a8 and S100a9 mRNA are a robust feature of aging in mammalian tissues, involving a range of cell types including the central nervous system. To identify transcription factors that control S100a9 expression, we performed a large-scale transcriptome analysis of 62 mouse and human cell types. We identified cell type-specific trends, as well as robust associations linking S100a9 coexpression to elevated frequency of ETS family motifs, and in particular, to motifs recognized by the transcription factor SPI/PU.1. Sparse occurrence of SATB1 motifs was also a strong predictor of S100a9 coexpression. These findings offer support for a novel mechanism by which a SPI1/PU.1-S100a9 axis sustains chronic inflammation during aging.

Robust and Simple Non-Reflecting Boundary Conditions for the Euler Equations: A New Approach Based on the Space-Time CE/SE Method

NASA Technical Reports Server (NTRS)

Chang, Sin-Chung; Himansu, Ananda; Loh, Ching-Yuen; Wang, Xiao-Yen; Yu, Shang-Tao

2003-01-01

This paper reports on a significant advance in the area of non-reflecting boundary conditions (NRBCs) for unsteady flow computations. As a part of the development of the space-time conservation element and solution element (CE/SE) method, sets of NRBCs for 1D Euler problems are developed without using any characteristics-based techniques. These conditions are much simpler than those commonly reported in the literature, yet so robust that they are applicable to subsonic, transonic and supersonic flows even in the presence of discontinuities. In addition, the straightforward multidimensional extensions of the present 1D NRBCs have been shown numerically to be equally simple and robust. The paper details the theoretical underpinning of these NRBCs, and explains their unique robustness and accuracy in terms of the conservation of space-time fluxes. Some numerical results for an extended Sod's shock-tube problem, illustrating the effectiveness of the present NRBCs are included, together with an associated simple Fortran computer program. As a preliminary to the present development, a review of the basic CE/SE schemes is also included.

Nonword Repetition and Vocabulary Knowledge as Predictors of Children's Phonological and Semantic Word Learning

PubMed Central

Patten, Hannah

2017-01-01

Purpose This study examined the unique and shared variance that nonword repetition and vocabulary knowledge contribute to children's ability to learn new words. Multiple measures of word learning were used to assess recall and recognition of phonological and semantic information. Method Fifty children, with a mean age of 8 years (range 5–12 years), completed experimental assessments of word learning and norm-referenced assessments of receptive and expressive vocabulary knowledge and nonword repetition skills. Hierarchical multiple regression analyses examined the variance in word learning that was explained by vocabulary knowledge and nonword repetition after controlling for chronological age. Results Together with chronological age, nonword repetition and vocabulary knowledge explained up to 44% of the variance in children's word learning. Nonword repetition was the stronger predictor of phonological recall, phonological recognition, and semantic recognition, whereas vocabulary knowledge was the stronger predictor of verbal semantic recall. Conclusions These findings extend the results of past studies indicating that both nonword repetition skill and existing vocabulary knowledge are important for new word learning, but the relative influence of each predictor depends on the way word learning is measured. Suggestions for further research involving typically developing children and children with language or reading impairments are discussed. PMID:28241284

Predictors of Chain Acquisition among Independent Dialysis Facilities

PubMed Central

Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C

2010-01-01

Objective To determine the predictors of chain acquisition among independent dialysis providers. Data Sources Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996–2003. Study Design Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. Data Collection The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Principal Findings Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Conclusions Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status. PMID:20148985

What contributes to perceived stress in later life? A recursive partitioning approach.

PubMed

Scott, Stacey B; Jackson, Brenda R; Bergeman, C S

2011-12-01

One possible explanation for the individual differences in outcomes of stress is the diversity of inputs that produce perceptions of being stressed. The current study examines how combinations of contextual features (e.g., social isolation, neighborhood quality, health problems, age discrimination, financial concerns, and recent life events) of later life contribute to overall feelings of stress. Recursive partitioning techniques (regression trees and random forests) were used to examine unique interrelations between predictors of perceived stress in a sample of 282 community-dwelling adults. Trees provided possible examples of equifinality (i.e., subsets of people with similar levels of perceived stress but different predictors) as well as identification both of contextual combinations that separated participants with very high and very low perceived stress. Random forest analyses aggregated across many trees based on permuted versions of the data and predictors; loneliness, financial strain, neighborhood strain, ageism, and to some extent life events emerged as important predictors. Interviews with a subsample of participants provided both thick description of the complex relationships identified in the trees, as well as additional risks not appearing in the survey results. Together, the analyses highlight what may be missed when stress is used as a simple unidimensional construct and can guide differential intervention efforts.

What contributes to perceived stress in later life? A recursive partitioning approach

PubMed Central

Scott, Stacey B.; Jackson, Brenda R.; Bergeman, C. S.

2011-01-01

One possible explanation for the individual differences in outcomes of stress is the diversity of inputs that produce perceptions of being stressed. The current study examines how combinations of contextual features (e.g., social isolation, neighborhood quality, health problems, age discrimination, financial concerns, and recent life events) of later life contribute to overall feelings of stress. Recursive partitioning techniques (regression trees and random forests) were used to examine unique interrelations between predictors of perceived stress in a sample of 282 community-dwelling adults. Trees provided possible examples of equifinality (i.e., subsets of people with similar levels of perceived stress but different predictors) as well as for the identification both of contextual combinations that separated participants with very high and very low perceived stress. Random forest analyses aggregated across many trees based on permuted versions of the data and predictors; loneliness, financial strain, neighborhood strain, ageism, and to some extent life events emerged as important predictors. Interviews with a subsample of participants provided both thick description of the complex relationships identified in the trees, as well as additional risks not appearing in the survey results. Together, the analyses highlight what may be missed when stress is used as a simple unidimensional construct and can guide differential intervention efforts. PMID:21604885

Changes in Self-Perceptions in Children With ADHD: A Longitudinal Study of Depressive Symptoms and Attributional Style

PubMed Central

McQuade, Julia D.; Hoza, Betsy; Waschbusch, Daniel A.; Murray-Close, Dianna; Owens, Julie S.

2012-01-01

This study examined positive self-perceptions in relation to depressive symptoms and attributional style in a sample of 88 boys with attention-deficit/hyperactivity disorder (ADHD) assessed at baseline and at a 2- to 3-year follow-up. Change in boys’ self-perceptions of competency in the scholastic, social, and behavioral domains was examined as a predictor of changes in depressive symptoms and depressive attributional style. Additionally, teacher-rated perceptions of competency at baseline and follow-up were considered as unique predictors. Results indicated that across all three domains, a reduction in children’s self-perceptions of competency over time predicted greater depressive symptoms at follow-up, even when controlling for teacher-rated competency. Analyses also suggested that a reduction in self-perceptions in the social domain was the strongest relative predictor of later depressive symptoms and also predicted greater depressive attributional style at follow-up. In contrast, teacher-rated competency was not a significant predictor of depressive symptoms or attributional style at follow-up. Results support a protective function of positive self-perceptions in regards to depressive cognitions over a 2- to 3-year period for children with ADHD. However, literature suggesting risks for other negative outcomes also is discussed. PMID:21496504

Incidence and Predictors of Acute Psychological Distress and Dissociation after Motor Vehicle Collision: a Cross-Sectional Study

PubMed Central

Lewis, Gemma C.; Platts-Mills, Timothy F.; Liberzon, Israel; Bair, Eric; Swor, Robert; Peak, David; Jones, Jeffrey; Rathlev, Niels; Lee, David; Domeier, Robert; Hendry, Phyllis; McLean, Samuel A.

2014-01-01

Objective The authors examined the incidence and predictors of peritraumatic distress and dissociation after one of the most common forms of civilian trauma exposure: motor vehicle collision (MVC). Methods In this study, patients presenting to the emergency department after MVC who were without serious injury and discharged to home after evaluation (n = 935) completed an emergency department interview evaluating sociodemographic, collision-related, and psychological characteristics. Results The incidence and predictors of distress (Peritraumatic Distress Inventory score ≥ 23) and dissociation (Michigan Critical Events Perception Scale score >3) were assessed. Distress was present in 355 of 935 patients (38%) and dissociation was present in 260 of 942 patients (28%). These outcomes showed only moderate correlation (r = 0.45), and had both shared and distinct predictors. Female gender, anxiety symptoms prior to MVC, and vehicle damage severity predicted both distress and dissociation. Higher socioeconomic status (higher education, higher income, full time employment) had a protective effect against distress but not dissociative symptoms. Better physical health and worse overall mental health were associated with increased risk of dissociation, but not distress. Distress but not dissociation was associated with lower patient confidence in recovery and a longer expected duration of recovery. Conclusion There are unique predictors of peritraumatic distress and dissociation. Further work is needed to better understand the neurobiology of peritraumatic distress and dissociation, and the influence of these peritraumatic outcomes on persistent psychological sequelae. PMID:24983475

Crowdsourcing novel childhood predictors of adult obesity.

PubMed

Bevelander, Kirsten E; Kaipainen, Kirsikka; 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.

Identifying Trajectories of Borderline Personality Features in Adolescence

PubMed Central

Haltigan, John D.

2016-01-01

Objective: To examine trajectories of adolescent borderline personality (BP) features in a normative-risk cohort (n = 566) of Canadian children assessed at ages 13, 14, 15, and 16 and childhood predictors of trajectory group membership assessed at ages 8, 10, 11, and 12. Method: Data were drawn from the McMaster Teen Study, an on-going study examining relations among bullying, mental health, and academic achievement. Participants and their parents completed a battery of mental health and peer relations questionnaires at each wave of the study. Academic competence was assessed at age 8 (Grade 3). Latent class growth analysis, analysis of variance, and logistic regression were used to analyze the data. Results: Three distinct BP features trajectory groups were identified: elevated or rising, intermediate or stable, and low or stable. Parent- and child-reported mental health symptoms, peer relations risk factors, and intra-individual risk factors were significant predictors of elevated or rising and intermediate or stable trajectory groups. Child-reported attention-deficit hyperactivity disorder (ADHD) and somatization symptoms uniquely predicted elevated or rising trajectory group membership, whereas parent-reported anxiety and child-reported ADHD symptoms uniquely predicted intermediate or stable trajectory group membership. Child-reported somatization symptoms was the only predictor to differentiate the intermediate or stable and elevated or rising trajectory groups (OR 1.15, 95% CI 1.04 to 1.28). Associations between child-reported reactive temperament and elevated BP features trajectory group membership were 10.23 times higher among children who were bullied, supporting a diathesis–stress pathway in the development of BP features for these youth. Conclusions: Findings demonstrate the heterogeneous course of BP features in early adolescence and shed light on the potential prodromal course of later borderline personality disorder. PMID:27254092

Spatial cognition and science achievement: The contribution of intrinsic and extrinsic spatial skills from 7 to 11 years.

PubMed

Hodgkiss, Alex; Gilligan, Katie A; Tolmie, Andrew K; Thomas, Michael S C; Farran, Emily K

2018-01-22

Prior longitudinal and correlational research with adults and adolescents indicates that spatial ability is a predictor of science learning and achievement. However, there is little research to date with primary-school aged children that addresses this relationship. Understanding this association has the potential to inform curriculum design and support the development of early interventions. This study examined the relationship between primary-school children's spatial skills and their science achievement. Children aged 7-11 years (N = 123) completed a battery of five spatial tasks, based on a model of spatial ability in which skills fall along two dimensions: intrinsic-extrinsic; static-dynamic. Participants also completed a curriculum-based science assessment. Controlling for verbal ability and age, mental folding (intrinsic-dynamic spatial ability), and spatial scaling (extrinsic-static spatial ability) each emerged as unique predictors of overall science scores, with mental folding a stronger predictor than spatial scaling. These spatial skills combined accounted for 8% of the variance in science scores. When considered by scientific discipline, mental folding uniquely predicted both physics and biology scores, and spatial scaling accounted for additional variance in biology and variance in chemistry scores. The children's embedded figures task (intrinsic-static spatial ability) only accounted for variance in chemistry scores. The patterns of association were consistent across the age range. Spatial skills, particularly mental folding, spatial scaling, and disembedding, are predictive of 7- to 11-year-olds' science achievement. These skills make a similar contribution to performance for each age group. © 2018 The Authors. British Journal of Education Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.

Growing old with fibromyalgia: factors that predict physical function.

PubMed

Torma, Linda M; Houck, Gail M; Wagnild, Gail M; Messecar, Deborah; Jones, Kim Dupree

2013-01-01

Fibromyalgia, a persistent, widespread pain condition, significantly limits physical function, threatening an older adult's health and ability to live independently. The aim of the study was to identify predictors of physical function in older adults living with fibromyalgia and to examine the influence of resilience on the relationship between fibromyalgia pain and physical function. This was a descriptive correlational, cross-sectional design using mailed questionnaires to analyze relationships between health-related variables and physical function in a convenience sample of community-dwelling older adults diagnosed with fibromyalgia (n = 224; age M = 62.1 years, SD = 6.75 years). Multiple regression was used to identify a priori predictors of physical function; hierarchical multiple regression was used to examine resilience as a moderator of pain and physical function. The sample was predominantly women, Caucasian, married, well educated, had moderate levels of income and tangible social support, and had low levels of physical function. Three-fourths were overweight or obese. Despite impaired physical function (Late Life Function and Disability Index, M = 51.5/100, SD = 9) and moderate levels of pain (Numeric Rating Scale, M = 5.47/10, SD = 2.6), resilience was moderately high (Resilience Scale, M = 137/175, SD = 20). An eight-variable disablement-based model accounted for 48% of variance in physical function: age, income, education, depressive symptoms, body mass index, and physical activity accounted for 31%; pain added 14%; and resilience contributed an additional 3%. Resilience was not a moderator of fibromyalgia pain and physical function; resilience did contribute uniquely to physical function variance. Resilience, a novel variable in fibromyalgia research, was a unique predictor of physical function. Further research is needed to learn more about the relationships between resilience, fibromyalgia impact, and the aging process.

Identifying Trajectories of Borderline Personality Features in Adolescence: Antecedent and Interactive Risk Factors.

PubMed

Haltigan, John D; Vaillancourt, Tracy

2016-03-01

To examine trajectories of adolescent borderline personality (BP) features in a normative-risk cohort (n = 566) of Canadian children assessed at ages 13, 14, 15, and 16 and childhood predictors of trajectory group membership assessed at ages 8, 10, 11, and 12. Data were drawn from the McMaster Teen Study, an on-going study examining relations among bullying, mental health, and academic achievement. Participants and their parents completed a battery of mental health and peer relations questionnaires at each wave of the study. Academic competence was assessed at age 8 (Grade 3). Latent class growth analysis, analysis of variance, and logistic regression were used to analyze the data. Three distinct BP features trajectory groups were identified: elevated or rising, intermediate or stable, and low or stable. Parent- and child-reported mental health symptoms, peer relations risk factors, and intra-individual risk factors were significant predictors of elevated or rising and intermediate or stable trajectory groups. Child-reported attention-deficit hyperactivity disorder (ADHD) and somatization symptoms uniquely predicted elevated or rising trajectory group membership, whereas parent-reported anxiety and child-reported ADHD symptoms uniquely predicted intermediate or stable trajectory group membership. Child-reported somatization symptoms was the only predictor to differentiate the intermediate or stable and elevated or rising trajectory groups (OR 1.15, 95% CI 1.04 to 1.28). Associations between child-reported reactive temperament and elevated BP features trajectory group membership were 10.23 times higher among children who were bullied, supporting a diathesis-stress pathway in the development of BP features for these youth. Findings demonstrate the heterogeneous course of BP features in early adolescence and shed light on the potential prodromal course of later borderline personality disorder. © The Author(s) 2015.

Social and Behavioral Characteristics of Young Adult Drink/Drivers Adjusted for Level of Alcohol Use

PubMed Central

Bingham, C. Raymond; Elliott, Michael R.; Shope, Jean T.

2007-01-01

Background Alcohol consumption and drink/driving are positively correlated and many predictors of alcohol use also predict drink/driving. Past research has not fully distinguished the contributions of personal risk factors from the level of alcohol use in the prediction of drink/driving. As a result, the extent to which predictors are specific to drink/driving, versus due to a mutual association to alcohol use, is unclear. Methods This study examined the unique and shared risk factors for drink/driving and alcohol use, and examined the attributable risk (AR) associated with predictors of drink/driving while adjusting for alcohol use. Study data were from a telephone survey of 3,480 Michigan-licensed young adults who were drinkers. Four groups of drink/drivers were formed based on the prior 12-month maximum severity of drink/driving: (1) never drink/driving; (2) driving at least once within an hour of 1 or 2 drinks; (3) driving within an hour of 3 or more drinks or while feeling the effects of alcohol; and (4) drinking while driving. Results Lower perceived risk of drink/driving, greater social support for drinking and drink/driving, greater aggression and delinquency, more cigarette smoking, and more risky driving behaviors uniquely predicted drink/driving severity in models adjusted for alcohol use. The largest ARs were associated with social support for drinking and drink/driving and perceived risk of drink/driving. Conclusions These results confirm that alcohol use and drink/driving share risk factors, but also indicate that part of the variation in these factors is specific to drink/driving. Implications for interventions to reduce drink/driving are discussed. PMID:17374045

Inverse optimal design of input-to-state stabilisation for affine nonlinear systems with input delays

NASA Astrophysics Data System (ADS)

Cai, Xiushan; Meng, Lingxin; Zhang, Wei; Liu, Leipo

2018-03-01

We establish robustness of the predictor feedback control law to perturbations appearing at the system input for affine nonlinear systems with time-varying input delay and additive disturbances. Furthermore, it is shown that it is inverse optimal with respect to a differential game problem. All of the stability and inverse optimality proofs are based on the infinite-dimensional backstepping transformation and an appropriate Lyapunov functional. A single-link manipulator subject to input delays and disturbances is given to illustrate the validity of the proposed method.

Fluorescent Photo-conversion: A second chance to label unique cells.

PubMed

Mellott, Adam J; Shinogle, Heather E; Moore, David S; Detamore, Michael S

2015-03-01

Not all cells behave uniformly after treatment in tissue engineering studies. In fact, some treated cells display no signs of treatment or show unique characteristics not consistent with other treated cells. What if the "unique" cells could be isolated from a treated population, and further studied? Photo-convertible reporter proteins, such as Dendra2 , allow for the ability to selectively identify unique cells with a secondary label within a primary labeled treated population. In the current study, select cells were identified and labeled through photo-conversion of Dendra2 -transfected human Wharton's Jelly cells (hWJCs) for the first time. Robust photo-conversion of green-to-red fluorescence was achieved consistently in arbitrarily selected cells, allowing for precise cell identification of select hWJCs. The current study demonstrates a method that offers investigators the opportunity to selectively label and identify unique cells within a treated population for further study or isolation from the treatment population. Photo-convertible reporter proteins, such as Dendra2 , offer the ability over non-photo-convertible reporter proteins, such as green fluorescent protein, to analyze unique individual cells within a treated population, which allows investigators to gain more meaningful information on how a treatment affects all cells within a target population.

Using Quantum Confinement to Uniquely Identify Devices

PubMed Central

Roberts, J.; Bagci, I. E.; Zawawi, M. A. M.; Sexton, J.; Hulbert, N.; Noori, Y. J.; Young, M. P.; Woodhead, C. S.; Missous, M.; Migliorato, M. A.; Roedig, U.; Young, R. J.

2015-01-01

Modern technology unintentionally provides resources that enable the trust of everyday interactions to be undermined. Some authentication schemes address this issue using devices that give a unique output in response to a challenge. These signatures are generated by hard-to-predict physical responses derived from structural characteristics, which lend themselves to two different architectures, known as unique objects (UNOs) and physically unclonable functions (PUFs). The classical design of UNOs and PUFs limits their size and, in some cases, their security. Here we show that quantum confinement lends itself to the provision of unique identities at the nanoscale, by using fluctuations in tunnelling measurements through quantum wells in resonant tunnelling diodes (RTDs). This provides an uncomplicated measurement of identity without conventional resource limitations whilst providing robust security. The confined energy levels are highly sensitive to the specific nanostructure within each RTD, resulting in a distinct tunnelling spectrum for every device, as they contain a unique and unpredictable structure that is presently impossible to clone. This new class of authentication device operates with minimal resources in simple electronic structures above room temperature. PMID:26553435

Child-Directed Teaching and Social Learning at 18 Months of Age: Evidence from Yucatec Mayan and US Infants

ERIC Educational Resources Information Center

Shneidman, Laura; Gaskins, Suzanne; Woodward, Amanda

2016-01-01

In several previous studies, 18-month-old infants who were directly addressed demonstrated more robust imitative behaviors than infants who simply observed another's actions, leading theorists to suggest that child-directed interactions carried unique informational value. However, these data came exclusively from cultural communities where direct…

Symptomatic spinal metastasis: A systematic literature review of the preoperative prognostic factors for survival, neurological, functional and quality of life in surgically treated patients and methodological recommendations for prognostic studies

PubMed Central

Nater, Anick; Martin, Allan R.; Sahgal, Arjun; Choi, David

2017-01-01

Purpose While several clinical prediction rules (CPRs) of survival exist for patients with symptomatic spinal metastasis (SSM), these have variable prognostic ability and there is no recognized CPR for health related quality of life (HRQoL). We undertook a critical appraisal of the literature to identify key preoperative prognostic factors of clinical outcomes in patients with SSM who were treated surgically. The results of this study could be used to modify existing or develop new CPRs. Methods Seven electronic databases were searched (1990–2015), without language restriction, to identify studies that performed multivariate analysis of preoperative predictors of survival, neurological, functional and HRQoL outcomes in surgical patients with SSM. Individual studies were assessed for class of evidence. The strength of the overall body of evidence was evaluated using GRADE for each predictor. Results Among 4,818 unique citations, 17 were included; all were in English, rated Class III and focused on survival, revealing a total of 46 predictors. The strength of the overall body of evidence was very low for 39 and low for 7 predictors. Due to considerable heterogeneity in patient samples and prognostic factors investigated as well as several methodological issues, our results had a moderately high risk of bias and were difficult to interpret. Conclusions The quality of evidence for predictors of survival was, at best, low. We failed to identify studies that evaluated preoperative prognostic factors for neurological, functional, or HRQoL outcomes in surgical patients with SSM. We formulated methodological recommendations for prognostic studies to promote acquiring high-quality evidence to better estimate predictor effect sizes to improve patient education, surgical decision-making and development of CPRs. PMID:28225772

Finger gnosis predicts a unique but small part of variance in initial arithmetic performance.

PubMed

Wasner, Mirjam; Nuerk, Hans-Christoph; Martignon, Laura; Roesch, Stephanie; Moeller, Korbinian

2016-06-01

Recent studies indicated that finger gnosis (i.e., the ability to perceive and differentiate one's own fingers) is associated reliably with basic numerical competencies. In this study, we aimed at examining whether finger gnosis is also a unique predictor for initial arithmetic competencies at the beginning of first grade-and thus before formal math instruction starts. Therefore, we controlled for influences of domain-specific numerical precursor competencies, domain-general cognitive ability, and natural variables such as gender and age. Results from 321 German first-graders revealed that finger gnosis indeed predicted a unique and relevant but nevertheless only small part of the variance in initial arithmetic performance (∼1%-2%) as compared with influences of general cognitive ability and numerical precursor competencies. Taken together, these results substantiated the notion of a unique association between finger gnosis and arithmetic and further corroborate the theoretical idea of finger-based representations contributing to numerical cognition. However, the only small part of variance explained by finger gnosis seems to limit its relevance for diagnostic purposes. Copyright © 2016. Published by Elsevier Inc.

Symptoms of Conduct Disorder, Oppositional Defiant Disorder, Attention-Deficit/Hyperactivity Disorder, and Callous-Unemotional Traits as Unique Predictors of Psychosocial Maladjustment in Boys: Advancing an Evidence Base for DSM-V

ERIC Educational Resources Information Center

Pardini, Dustin A.; Fite, Paula J.

2010-01-01

Objective: The incremental utility of symptoms of conduct disorder (CD), oppositional defiant disorder (ODD), attention-deficit/hyperactivity disorder (ADHD), and callous-unemotional (CU) traits for predicting psychosocial outcomes across multiple domains was examined in a community sample of 1,517 boys. Method: Several outcomes were assessed…

Achievement Goals, Reasons for Goal Pursuit, and Achievement Goal Complexes as Predictors of Beneficial Outcomes: Is the Influence of Goals Reducible to Reasons?

ERIC Educational Resources Information Center

Sommet, Nicolas; Elliot, Andrew J.

2017-01-01

In the present research, we proposed a systematic approach to disentangling the shared and unique variance explained by achievement goals, reasons for goal pursuit, and specific goal-reason combinations (i.e., achievement goal complexes). Four studies using this approach (involving nearly 1,800 participants) led to 3 basic sets of findings. First,…

Direct and indirect relations between parent-child attachments, peer acceptance, and self-esteem for preschool children.

PubMed

Pinto, Alexandra; Veríssimo, Manuela; Gatinho, Ana; Santos, António J; Vaughn, Brian E

2015-01-01

The present study aims to test Bowlby's suggestions concerning relations between the child's attachment quality with parents and subsequently constructed models of self-worth during early childhood. In most research on this question, attachment with mothers is considered in relation to self-worth but the child's attachment with fathers is not. Neither has the peer group been studied as an influence on child self-esteem, in the context of attachment research. This study addresses these relatively unstudied influences on child self-esteem. Attachment security to mother and father was measured by the Attachment Behavior Q-Set at two and half years of age. At five years of age social acceptance was measured using two sociometric techniques, and the self-esteem with the California Child Q-Sort. Our analyses indicated that security of the attachment to father and peer acceptance are both unique, significant predictors of the childrens' self-esteem. The security of the attachment to mother was also related to child self-esteem but did not emerge as a uniquely significant predictor. Peer acceptance appeared to moderate of the effect of the security of the attachment to father on the self-esteem of children. Our results extend the relatively sparse literature relating early attachments to self-esteem during early childhood.

Combinations of Stressors in Midlife: Examining Role and Domain Stressors Using Regression Trees and Random Forests

PubMed Central

2013-01-01

Objectives. Global perceptions of stress (GPS) have major implications for mental and physical health, and stress in midlife may influence adaptation in later life. Thus, it is important to determine the unique and interactive effects of diverse influences of role stress (at work or in personal relationships), loneliness, life events, time pressure, caregiving, finances, discrimination, and neighborhood circumstances on these GPS. Method. Exploratory regression trees and random forests were used to examine complex interactions among myriad events and chronic stressors in middle-aged participants’ (N = 410; mean age = 52.12) GPS. Results. Different role and domain stressors were influential at high and low levels of loneliness. Varied combinations of these stressors resulting in similar levels of perceived stress are also outlined as examples of equifinality. Loneliness emerged as an important predictor across trees. Discussion. Exploring multiple stressors simultaneously provides insights into the diversity of stressor combinations across individuals—even those with similar levels of global perceived stress—and answers theoretical mandates to better understand the influence of stress by sampling from many domain and role stressors. Further, the unique influences of each predictor relative to the others inform theory and applied work. Finally, examples of equifinality and multifinality call for targeted interventions. PMID:23341437

Naturalistic Assessment of Everyday Functioning in Individuals with Mild Cognitive Impairment: The Day Out Task

PubMed Central

Schmitter-Edgecombe, Maureen; McAlister, Courtney; Weakley, Alyssa

2012-01-01

Objective The Day Out Task (DOT), a naturalistic task that requires multitasking in a real-world setting, was used to examine everyday functioning in individuals with mild cognitive impairment (MCI). Method Thirty-eight participants with MCI and 38 cognitively healthy older adult controls prioritized, organized, initiated and completed a number of subtasks in a campus apartment to prepare for a day out (e.g., determine and gather change for bus, bring a magazine). Participants also completed tests assessing cognitive constructs important in multitasking (i.e., retrospective memory, prospective memory, planning). Results Compared to controls, the MCI group required more time to complete the DOT and demonstrated poorer task accuracy, performing more subtasks incompletely and inaccurately. Despite poorer DOT task accuracy, the MCI and control groups approached completion of the DOT in a similar manner. For the MCI group, retrospective memory was a unique predictor of the number of subtasks left incomplete and inaccurate, while prospective memory was a unique predictor of DOT sequencing. The DOT measures, but not the cognitive tests, were predictive of knowledgeable informant report of everyday functioning. Conclusions These findings suggest that difficulty remembering and keeping track of multiple goals and subgoals may contribute to the poorer performance of individuals with MCI in complex everyday situations. PMID:22846035

Cognitive Correlates of Functional Abilities in Individuals with Mild Cognitive Impairment: Comparison of Questionnaire, Direct Observation and Performance-based Measures

PubMed Central

Schmitter-Edgecombe, Maureen; Parsey, Carolyn M.

2014-01-01

The relationship between and the cognitive correlates of several proxy measures of functional status were studied in a population with mild cognitive impairment (MCI). Participants were 51 individuals diagnosed with MCI and 51 cognitively healthy older adults (OA). Participants completed performance-based functional status tests, standardized neuropsychological tests, and performed eight activities of daily living (e.g., watered plants, filled medication dispenser) while under direct observation in a campus apartment. An informant interview about everyday functioning was also conducted. Compared to the OA control group, the MCI group performed more poorly on all proxy measures of everyday functioning. The informant-report of instrumental activities of daily living (IADL) did not correlate with the two performance-based measures; however, both the informant-report IADL and the performance-based everyday problem-solving test correlated with the direct observation measure. After controlling for age and education, cognitive predictors did not explain a significant amount of variance in the performance-based measures; however, performance on a delayed memory task was a unique predictor for the informant-report IADL, and processing speed predicted unique variance for the direct observation score. These findings indicate that differing methods for evaluating functional status are not assessing completely overlapping aspects of everyday functioning in the MCI population. PMID:24766574

Apathy is associated with lower mental and physical quality of life in persons infected with HIV.

PubMed

Kamat, Rujvi; Woods, Steven Paul; Cameron, Marizela V; Iudicello, Jennifer E

2016-10-01

HIV infection is associated with lower health-related quality of life (HRQoL), which is influenced by immunovirological factors, negative affect, neurocognitive impairment, and functional dependence. Although apathy is a common neuropsychiatric sequela of HIV infection, emerging findings regarding its unique role in lower HRQoL have been mixed. The present study was guided by Wilson and Cleary's (1995), model in examining the association between apathy and physical and mental HRQoL in 80 HIV+ individuals who completed a neuromedical examination, neuropsychological assessment, structured psychiatric interview, and a series of questionnaires including the SF-36. Apathy was measured using a composite of the apathy subscale of the Frontal Systems Behavioral Scale and the vigor-activation subscale of the Profile of Mood States. Independent of major depressive disorder, neurocognitive impairment, functional status, and current CD4 count, apathy was strongly associated with HRQoL. Specifically, apathy and CD4 count were significant predictors of physical HRQoL, whereas apathy and depression were the only predictors of mental HRQoL. All told, these findings suggest that apathy plays a unique role in HRQoL and support the importance of assessing and managing apathy in an effort to maximize health outcomes among individuals with HIV disease.

Cognitive correlates of functional abilities in individuals with mild cognitive impairment: comparison of questionnaire, direct observation, and performance-based measures.

PubMed

Schmitter-Edgecombe, Maureen; Parsey, Carolyn M

2014-01-01

The relationship between, and the cognitive correlates of, several proxy measures of functional status were studied in a population with mild cognitive impairment (MCI). Participants were 51 individuals diagnosed with MCI and 51 cognitively healthy older adults (OA). Participants completed performance-based functional status tests and standardized neuropsychological tests, and performed eight activities of daily living (e.g., watered plants, filled medication dispenser) while under direct observation in a campus apartment. An informant interview about everyday functioning was also conducted. Compared to the OA control group, the MCI group performed more poorly on all proxy measures of everyday functioning. The informant report of instrumental activities of daily living (IADL) did not correlate with the two performance-based measures; however, both the informant-report IADL and the performance-based everyday problem-solving test correlated with the direct observation measure. After controlling for age and education, cognitive predictors did not explain a significant amount of variance in the performance-based measures; however, performance on a delayed memory task was a unique predictor for the informant-report IADL, and processing speed predicted unique variance for the direct observation score. These findings indicate that differing methods for evaluating functional status are not assessing completely overlapping aspects of everyday functioning in the MCI population.

Examining the Predictive Validity of a Dynamic Assessment of Decoding to Forecast Response Tier 2 to Intervention

PubMed Central

Cho, Eunsoo; Compton, Donald L.; Fuchs, Doug; Fuchs, Lynn S.; Bouton, Bobette

2013-01-01

The purpose of this study was to examine the role of a dynamic assessment (DA) of decoding in predicting responsiveness to Tier 2 small group tutoring in a response-to-intervention model. First-grade students (n=134) who did not show adequate progress in Tier 1 based on 6 weeks of progress monitoring received Tier 2 small-group tutoring in reading for 14 weeks. Student responsiveness to Tier 2 was assessed weekly with word identification fluency (WIF). A series of conditional individual growth curve analyses were completed that modeled the correlates of WIF growth (final level of performance and growth). Its purpose was to examine the predictive validity of DA in the presence of 3 sets of variables: static decoding measures, Tier 1 responsiveness indicators, and pre-reading variables (phonemic awareness, rapid letter naming, oral vocabulary, and IQ). DA was a significant predictor of final level and growth, uniquely explaining 3% – 13% of the variance in Tier 2 responsiveness depending on the competing predictors in the model and WIF outcome (final level of performance or growth). Although the additional variances explained uniquely by DA were relatively small, results indicate the potential of DA in identifying Tier 2 nonresponders. PMID:23213050

Examining the predictive validity of a dynamic assessment of decoding to forecast response to tier 2 intervention.

PubMed

Cho, Eunsoo; Compton, Donald L; Fuchs, Douglas; Fuchs, Lynn S; Bouton, Bobette

2014-01-01

The purpose of this study was to examine the role of a dynamic assessment (DA) of decoding in predicting responsiveness to Tier 2 small-group tutoring in a response-to-intervention model. First grade students (n = 134) who did not show adequate progress in Tier 1 based on 6 weeks of progress monitoring received Tier 2 small-group tutoring in reading for 14 weeks. Student responsiveness to Tier 2 was assessed weekly with word identification fluency (WIF). A series of conditional individual growth curve analyses were completed that modeled the correlates of WIF growth (final level of performance and growth). Its purpose was to examine the predictive validity of DA in the presence of three sets of variables: static decoding measures, Tier 1 responsiveness indicators, and prereading variables (phonemic awareness, rapid letter naming, oral vocabulary, and IQ). DA was a significant predictor of final level and growth, uniquely explaining 3% to 13% of the variance in Tier 2 responsiveness depending on the competing predictors in the model and WIF outcome (final level of performance or growth). Although the additional variances explained uniquely by DA were relatively small, results indicate the potential of DA in identifying Tier 2 nonresponders. © Hammill Institute on Disabilities 2012.

On the Relationship Between Automatic Attitudes and Self-Reported Sexual Assault in Men

PubMed Central

Widman, Laura; Olson, Michael

2013-01-01

Research and theory suggest rape supportive attitudes are important predictors of sexual assault; yet, to date, rape supportive attitudes have been assessed exclusively through self-report measures that are methodologically and theoretically limited. To address these limitations, the objectives of the current project were to: (1) develop a novel implicit rape attitude assessment that captures automatic attitudes about rape and does not rely on self-reports, and (2) examine the association between automatic rape attitudes and sexual assault perpetration. We predicted that automatic rape attitudes would be a significant unique predictor of sexual assault even when self-reported rape attitudes (i.e., rape myth acceptance and hostility toward women) were controlled. We tested the generalizability of this prediction in two independent samples: a sample of undergraduate college men (n = 75, M age = 19.3 years) and a sample of men from the community (n = 50, M age = 35.9 years). We found the novel implicit rape attitude assessment was significantly associated with the frequency of sexual assault perpetration in both samples and contributed unique variance in explaining sexual assault beyond rape myth acceptance and hostility toward women. We discuss the ways in which future research on automatic rape attitudes may significantly advance measurement and theory aimed at understanding and preventing sexual assault. PMID:22618119

Predictors of Nurses' Intentions to Administer As-Needed Opioid Analgesics for Pain Relief to Postoperative Orthopaedic Patients in the Acute Care Setting.

PubMed

Taylor, Colleen Y; Sheu, Jiunn-Jye; Chen, Huey-Shys; Glassman, Tavis; Dake, Joseph

Patients undergoing orthopaedic surgery experience severe postoperative pain that is frequently undertreated. No study was found that examined the predictors of nurses' intentions to administer as needed (PRN) opioid analgesics for postoperative pain relief. The purpose of this study was to determine what constructs from the Integrated Behavioral Model (IBM) can predict nurses' intentions to administer PRN opioid analgesics for pain relief to hospitalized postoperative orthopaedic patients. A nonexperimental, cross-sectional quantitative format was used. The sample consisted of 800 nurses. Data collection was done by survey. Path analysis revealed the significant predictors of nurses' intention to administer opioid analgesics to be self-efficacy (β= 0.15), normative beliefs (β= 0.21), and salience (importance) of the behavior (β= 0.25). The study showed that the IBM constructs are useful for predicting intentions toward performance of a professional behavior. The inclusion of self-efficacy, underlying beliefs, and salience of the behavior was new and unique contributions to the existing body of knowledge.

Geographically distributed real-time digital simulations using linear prediction

DOE PAGES

Liu, Ren; Mohanpurkar, Manish; Panwar, Mayank; ...

2016-07-04

Real time simulation is a powerful tool for analyzing, planning, and operating modern power systems. For analyzing the ever evolving power systems and understanding complex dynamic and transient interactions larger real time computation capabilities are essential. These facilities are interspersed all over the globe and to leverage unique facilities geographically-distributed real-time co-simulation in analyzing the power systems is pursued and presented. However, the communication latency between different simulator locations may lead to inaccuracy in geographically distributed real-time co-simulations. In this paper, the effect of communication latency on geographically distributed real-time co-simulation is introduced and discussed. In order to reduce themore » effect of the communication latency, a real-time data predictor, based on linear curve fitting is developed and integrated into the distributed real-time co-simulation. Two digital real time simulators are used to perform dynamic and transient co-simulations with communication latency and predictor. Results demonstrate the effect of the communication latency and the performance of the real-time data predictor to compensate it.« less

Changing abilities vs. changing tasks: Examining validity degradation with test scores and college performance criteria both assessed longitudinally.

PubMed

Dahlke, Jeffrey A; Kostal, Jack W; Sackett, Paul R; Kuncel, Nathan R

2018-05-03

We explore potential explanations for validity degradation using a unique predictive validation data set containing up to four consecutive years of high school students' cognitive test scores and four complete years of those students' college grades. This data set permits analyses that disentangle the effects of predictor-score age and timing of criterion measurements on validity degradation. We investigate the extent to which validity degradation is explained by criterion dynamism versus the limited shelf-life of ability scores. We also explore whether validity degradation is attributable to fluctuations in criterion variability over time and/or GPA contamination from individual differences in course-taking patterns. Analyses of multiyear predictor data suggest that changes to the determinants of performance over time have much stronger effects on validity degradation than does the shelf-life of cognitive test scores. The age of predictor scores had only a modest relationship with criterion-related validity when the criterion measurement occasion was held constant. Practical implications and recommendations for future research are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Respiratory Sinus Arrhythmia, Effortful Control, and Parenting as Predictors of Children’s Sympathy Across Early Childhood

PubMed Central

Taylor, Zoe E.; Eisenberg, Nancy; Spinrad, Tracy L.

2015-01-01

The goal of this study was to examine physiological and environmental predictors of children’s sympathy (an emotional response consisting of feelings of concern or sorrow for others who are distressed or in need) and whether temperamental effortful control mediated these relations. Specifically, in a study of 192 children (23% Hispanic; 54% male), respiratory sinus arrhythmia (RSA), a measure thought to reflect physiological regulation, and observed authoritative parenting (both at 42 months) were examined as predictors of children’s effortful control (at 54 months) and, in turn, children’s sympathy (at 72 and 84 months). Measures of both baseline RSA and RSA suppression were examined. In a structural equation model, observed parenting was positively related to children’s subsequent sympathy through its positive relation to effortful control. Furthermore, the indirect path from baseline RSA to higher sympathy through effortful control was marginally significant. Authoritative parenting and baseline RSA uniquely predicted individual differences in children’s effortful control. Findings highlight the potential role of both authoritative parenting and physiological regulation in the development of children’s sympathy. PMID:25329555

Geographically distributed real-time digital simulations using linear prediction

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

Liu, Ren; Mohanpurkar, Manish; Panwar, Mayank

Real time simulation is a powerful tool for analyzing, planning, and operating modern power systems. For analyzing the ever evolving power systems and understanding complex dynamic and transient interactions larger real time computation capabilities are essential. These facilities are interspersed all over the globe and to leverage unique facilities geographically-distributed real-time co-simulation in analyzing the power systems is pursued and presented. However, the communication latency between different simulator locations may lead to inaccuracy in geographically distributed real-time co-simulations. In this paper, the effect of communication latency on geographically distributed real-time co-simulation is introduced and discussed. In order to reduce themore » effect of the communication latency, a real-time data predictor, based on linear curve fitting is developed and integrated into the distributed real-time co-simulation. Two digital real time simulators are used to perform dynamic and transient co-simulations with communication latency and predictor. Results demonstrate the effect of the communication latency and the performance of the real-time data predictor to compensate it.« less

Respiratory sinus arrhythmia, effortful control, and parenting as predictors of children's sympathy across early childhood.

PubMed

Taylor, Zoe E; Eisenberg, Nancy; Spinrad, Tracy L

2015-01-01

The goal of this study was to examine physiological and environmental predictors of children's sympathy (an emotional response consisting of feelings of concern or sorrow for others who are distressed or in need) and whether temperamental effortful control mediated these relations. Specifically, in a study of 192 children (23% Hispanic; 54% male), respiratory sinus arrhythmia (RSA), a measure thought to reflect physiological regulation, and observed authoritative parenting (both at 42 months) were examined as predictors of children's effortful control (at 54 months) and, in turn, children's sympathy (at 72 and 84 months). Measures of both baseline RSA and RSA suppression were examined. In a structural equation model, observed parenting was positively related to children's subsequent sympathy through its positive relation to effortful control. Furthermore, the indirect path from baseline RSA to higher sympathy through effortful control was marginally significant. Authoritative parenting and baseline RSA uniquely predicted individual differences in children's effortful control. Findings highlight the potential role of both authoritative parenting and physiological regulation in the development of children's sympathy.

Explicit and Implicit Stigma of Mental Illness as Predictors of the Recovery Attitudes of Assertive Community Treatment Practitioners.

PubMed

Stull, Laura G; McConnell, Haley; McGrew, John; Salyers, Michelle P

2017-01-01

While explicit negative stereotypes of mental illness are well established as barriers to recovery, implicit attitudes also may negatively impact outcomes. The current study is unique in its focus on both explicit and implicit stigma as predictors of recovery attitudes of mental health practitioners. Assertive Community Treatment practitioners (n = 154) from 55 teams completed online measures of stigma, recovery attitudes, and an Implicit Association Test (IAT). Three of four explicit stigma variables (perceptions of blameworthiness, helplessness, and dangerousness) and all three implicit stigma variables were associated with lower recovery attitudes. In a multivariate, hierarchical model, however, implicit stigma did not explain additional variance in recovery attitudes. In the overall model, perceptions of dangerousness and implicitly associating mental illness with "bad" were significant individual predictors of lower recovery attitudes. The current study demonstrates a need for interventions to lower explicit stigma, particularly perceptions of dangerousness, to increase mental health providers' expectations for recovery. The extent to which implicit and explicit stigma differentially predict outcomes, including recovery attitudes, needs further research.

Baseline predictors of DMT reinitiation among patients with multiple sclerosis following an MI-CBT intervention.

PubMed

Thelen, Joanie; Bruce, Amanda; Catley, Delwyn; Lynch, Sharon; Goggin, Kathy; Bradley-Ewing, Andrea; Glusman, Morgan; Norouzinia, Abigail; Strober, Lauren; Bruce, Jared

2018-04-01

Patients with multiple sclerosis (MS) are often nonadherent to their disease modifying therapy (DMT). While recent studies demonstrate enhanced DMT adherence following intervention grounded in motivational interviewing (MI), little is known about how to address DMT reinitiation among MS patients who have prematurely discontinued DMT against medical advice and do not intend to reinitiate. We examined baseline predictors of DMT reinitiation among patients with MS who discontinued medications against medical advice following a telephone-based MI and Cognitive Behavioral Therapy (MI-CBT) intervention. Following MI-CBT intervention, 66 patients reported whether or not they opted to reinitiate DMT. Rate of disease progression (β = 0.295) and perceived personal control (β = - 0.131) emerged as unique significant predictors of DMT reinitiation following intervention. Clinical characteristics and health-related beliefs may be used to prospectively identify patients most likely to reinitiate DMT following MI-CBT intervention, furthering the goal of preserving brain health and preventing neurologic decline in MS via appropriate DMT utilization. Further study is warranted to delineate potential mediators and moderators of DMT reinitiation outcomes.

Advances in chemical labeling of proteins in living cells.

PubMed

Yan, Qi; Bruchez, Marcel P

2015-04-01

The pursuit of quantitative biological information via imaging requires robust labeling approaches that can be used in multiple applications and with a variety of detectable colors and properties. In addition to conventional fluorescent proteins, chemists and biologists have come together to provide a range of approaches that combine dye chemistry with the convenience of genetic targeting. This hybrid-tagging approach amalgamates the rational design of properties available through synthetic dye chemistry with the robust biological targeting available with genetic encoding. In this review, we discuss the current range of approaches that have been exploited for dye targeting or for targeting and activation and some of the recent applications that are uniquely permitted by these hybrid-tagging approaches.

The robustness of truncated Airy beam in PT Gaussian potentials media

NASA Astrophysics Data System (ADS)

Wang, Xianni; Fu, Xiquan; Huang, Xianwei; Yang, Yijun; Bai, Yanfeng

2018-03-01

The robustness of truncated Airy beam in parity-time (PT) symmetric Gaussian potentials media is numerically investigated. A high-peak power beam sheds from the Airy beam due to the media modulation while the Airy wavefront still retain its self-bending and non-diffraction characteristics under the influence of modulation parameters. Increasing the modulation factor results in the smaller value of maximum power of the center beam, and the opposite trend occurs with the increment of the modulation depth. However, the parabolic trajectory of the Airy wavefront does not be influenced. By utilizing the unique features, the Airy beam can be used as a long distance transmission source under the PT symmetric Gaussian potentials medium.

Reversible Redox Activity by Ion-pH Dually Modulated Duplex Formation of i-Motif DNA with Complementary G-DNA.

PubMed

Chang, Soyoung; Kilic, Tugba; Lee, Chang Kee; Avci, Huseyin; Bae, Hojae; Oskui, Shirin Mesbah; Jung, Sung Mi; Shin, Su Ryon; Kim, Seon Jeong

2018-04-08

The unique biological features of supramolecular DNA have led to an increasing interest in biomedical applications such as biosensors. We have developed an i-motif and G-rich DNA conjugated single-walled carbon nanotube hybrid materials, which shows reversible conformational switching upon external stimuli such as pH (5 and 8) and presence of ions (Li⁺ and K⁺). We observed reversible electrochemical redox activity upon external stimuli in a quick and robust manner. Given the ease and the robustness of this method, we believe that pH- and ion-driven reversible DNA structure transformations will be utilized for future applications for developing novel biosensors.

Sexual Risk Behavior in Young Adulthood: Broadening the Scope Beyond Early Sexual Initiation

PubMed Central

Epstein, Marina; Bailey, Jennifer A.; Manhart, Lisa E.; Hill, Karl G.; Hawkins, J. David

2013-01-01

A robust link between early sexual initiation and sexual risk-taking behavior is reported in previous studies. The relationship may not be causal, however, as the effect of common risk factors is often not considered. The current study examined whether early initiation is a key predictor of risky sexual behavior in the 20s and 30s, over and above co-occurring individual and environmental factors. Data were drawn from the Seattle Social Development Project, a longitudinal panel of 808 youth. Early predictors (ages 10–15) and sexual risk-taking (ages 21–24 and 30–33) were assessed prospectively. Early sexual initiation (before age 15) was entered into a series of probit regressions that also included family, neighborhood, peer, and individual risk factors. Although a positive bivariate relation between early sexual initiation and sexual risk-taking was observed at both ages, the link did not persist when co-occurring risk factors were included. Behavioral disinhibition and antisocial peer influences emerged as the strongest predictors of sexual risk over and above early sexual initiation. These results suggest that early sexual initiation must be considered in the context of common antecedents; public health policy aimed at delaying sexual intercourse alone is unlikely to substantially reduce sexual risk behavior in young adulthood. PMID:24423058

LIBS data analysis using a predictor-corrector based digital signal processor algorithm

NASA Astrophysics Data System (ADS)

Sanders, Alex; Griffin, Steven T.; Robinson, Aaron

2012-06-01

There are many accepted sensor technologies for generating spectra for material classification. Once the spectra are generated, communication bandwidth limitations favor local material classification with its attendant reduction in data transfer rates and power consumption. Transferring sensor technologies such as Cavity Ring-Down Spectroscopy (CRDS) and Laser Induced Breakdown Spectroscopy (LIBS) require effective material classifiers. A result of recent efforts has been emphasis on Partial Least Squares - Discriminant Analysis (PLS-DA) and Principle Component Analysis (PCA). Implementation of these via general purpose computers is difficult in small portable sensor configurations. This paper addresses the creation of a low mass, low power, robust hardware spectra classifier for a limited set of predetermined materials in an atmospheric matrix. Crucial to this is the incorporation of PCA or PLS-DA classifiers into a predictor-corrector style implementation. The system configuration guarantees rapid convergence. Software running on multi-core Digital Signal Processor (DSPs) simulates a stream-lined plasma physics model estimator, reducing Analog-to-Digital (ADC) power requirements. This paper presents the results of a predictorcorrector model implemented on a low power multi-core DSP to perform substance classification. This configuration emphasizes the hardware system and software design via a predictor corrector model that simultaneously decreases the sample rate while performing the classification.

On the interest of combining an analog model to a regression model for the adaptation of the downscaling link. Application to probabilistic prediction of precipitation over France.

NASA Astrophysics Data System (ADS)

Chardon, Jérémy; Hingray, Benoit; Favre, Anne-Catherine

2016-04-01

Scenarios of surface weather required for the impact studies have to be unbiased and adapted to the space and time scales of the considered hydro-systems. Hence, surface weather scenarios obtained from global climate models and/or numerical weather prediction models are not really appropriated. Outputs of these models have to be post-processed, which is often carried out thanks to Statistical Downscaling Methods (SDMs). Among those SDMs, approaches based on regression are often applied. For a given station, a regression link can be established between a set of large scale atmospheric predictors and the surface weather variable. These links are then used for the prediction of the latter. However, physical processes generating surface weather vary in time. This is well known for precipitation for instance. The most relevant predictors and the regression link are also likely to vary in time. A better prediction skill is thus classically obtained with a seasonal stratification of the data. Another strategy is to identify the most relevant predictor set and establish the regression link from dates that are similar - or analog - to the target date. In practice, these dates can be selected thanks to an analog model. In this study, we explore the possibility of improving the local performance of an analog model - where the analogy is applied to the geopotential heights 1000 and 500 hPa - using additional local scale predictors for the probabilistic prediction of the Safran precipitation over France. For each prediction day, the prediction is obtained from two GLM regression models - for both the occurrence and the quantity of precipitation - for which predictors and parameters are estimated from the analog dates. Firstly, the resulting combined model noticeably allows increasing the prediction performance by adapting the downscaling link for each prediction day. Secondly, the selected predictors for a given prediction depend on the large scale situation and on the considered region. Finally, even with such an adaptive predictor identification, the downscaling link appears to be robust: for a same prediction day, predictors selected for different locations of a given region are similar and the regression parameters are consistent within the region of interest.

Intraspecific Variation in Learning: Worker Wasps Are Less Able to Learn and Remember Individual Conspecific Faces than Queen Wasps.

PubMed

Tibbetts, Elizabeth A; Injaian, Allison; Sheehan, Michael J; Desjardins, Nicole

2018-05-01

Research on individual recognition often focuses on species-typical recognition abilities rather than assessing intraspecific variation in recognition. As individual recognition is cognitively costly, the capacity for recognition may vary within species. We test how individual face recognition differs between nest-founding queens (foundresses) and workers in Polistes fuscatus paper wasps. Individual recognition mediates dominance interactions among foundresses. Three previously published experiments have shown that foundresses (1) benefit by advertising their identity with distinctive facial patterns that facilitate recognition, (2) have robust memories of individuals, and (3) rapidly learn to distinguish between face images. Like foundresses, workers have variable facial patterns and are capable of individual recognition. However, worker dominance interactions are muted. Therefore, individual recognition may be less important for workers than for foundresses. We find that (1) workers with unique faces receive amounts of aggression similar to those of workers with common faces, indicating that wasps do not benefit from advertising their individual identity with a unique appearance; (2) workers lack robust memories for individuals, as they cannot remember unique conspecifics after a 6-day separation; and (3) workers learn to distinguish between facial images more slowly than foundresses during training. The recognition differences between foundresses and workers are notable because Polistes lack discrete castes; foundresses and workers are morphologically similar, and workers can take over as queens. Overall, social benefits and receiver capacity for individual recognition are surprisingly plastic.

A novel literature-based approach to identify genetic and molecular predictors of survival in glioblastoma multiforme: Analysis of 14,678 patients using systematic review and meta-analytical tools.

PubMed

Thuy, Matthew N T; Kam, Jeremy K T; Lee, Geoffrey C Y; Tao, Peter L; Ling, Dorothy Q; Cheng, Melissa; Goh, Su Kah; Papachristos, Alexander J; Shukla, Lipi; Wall, Krystal-Leigh; Smoll, Nicolas R; Jones, Jordan J; Gikenye, Njeri; Soh, Bob; Moffat, Brad; Johnson, Nick; Drummond, Katharine J

2015-05-01

Glioblastoma multiforme (GBM) has a poor prognosis despite maximal multimodal therapy. Biomarkers of relevance to prognosis which may also identify treatment targets are needed. A few hundred genetic and molecular predictors have been implicated in the literature, however with the exception of IDH1 and O6-MGMT, there is uncertainty regarding their true prognostic relevance. This study analyses reported genetic and molecular predictors of prognosis in GBM. For each, its relationship with univariate overall survival in adults with GBM is described. A systematic search of MEDLINE (1998-July 2010) was performed. Eligible papers studied the effect of any genetic or molecular marker on univariate overall survival in adult patients with histologically diagnosed GBM. Primary outcomes were median survival difference in months and univariate hazard ratios. Analyses included converting 126 Kaplan-Meier curves and 27 raw data sets into primary outcomes. Seventy-four random effects meta-analyses were performed on 39 unique genetic or molecular factors. Objective criteria were designed to classify factors into the categories of clearly prognostic, weakly prognostic, non-prognostic and promising. Included were 304 publications and 174 studies involving 14,678 unique patients from 33 countries. We identified 422 reported genetic and molecular predictors, of which 52 had ⩾2 studies. IDH1 mutation and O6-MGMT were classified as clearly prognostic, validating the methodology. High Ki-67/MIB-1 and loss of heterozygosity of chromosome 10/10q were classified as weakly prognostic. Four factors were classified as non-prognostic and 13 factors were classified as promising and worthy of additional investigation. Funnel plot analysis did not identify any evidence of publication bias. This study demonstrates a novel literature and meta-analytical based approach to maximise the value that can be derived from the plethora of literature reports of molecular and genetic factors in GBM. Caution is advised in over-interpreting the results due to study limitations. Further research to develop this methodology and improvements in study reporting are suggested. Copyright © 2014 Elsevier Ltd. All rights reserved.

Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA

USGS Publications Warehouse

Stapanian, Martin A.; Gara, Brian; Schumacher, William

2018-01-01

The loss of wetland habitats and their often-unique biological communities is a major environmental concern. We examined vegetation data obtained from 380 wetlands sampled in a statistical survey of wetlands in the USA. Our goal was to identify which surrounding land cover types best predict two indices of vegetation quality in wetlands at the regional scale. We considered palustrine wetlands in four regions (Coastal Plains, North Central East, Interior Plains, and West) in which the dominant vegetation was emergent, forested, or scrub-shrub. For each wetland, we calculated weighted proportions of eight land cover types surrounding the area in which vegetation was assessed, in four zones radiating from the edge of the assessment area to 2 km. Using Akaike's Information Criterion, we determined the best 1-, 2- and 3-predictor models of the two indices, using the weighted proportions of the land cover types as potential predictors. Mean values of the two indices were generally higher in the North Central East and Coastal Plains than the other regions for forested and emergent wetlands. In nearly all cases, the best predictors of the indices were not the dominant surrounding land cover types. Overall, proportions of forest (positive effect) and agriculture (negative effect) surrounding the assessment area were the best predictors of the two indices. One or both of these variables were included as predictors in 65 of the 72 models supported by the data. Wetlands surrounding the assessment area had a positive effect on the indices, and ranked third (33%) among the predictors included in supported models. Development had a negative effect on the indices and was included in only 28% of supported models. These results can be used to develop regional management plans for wetlands, such as creating forest buffers around wetlands, or to conserve zones between wetlands to increase habitat connectivity.

Differential Event Rates and Independent Predictors of Long-Term Major Cardiovascular Events and Death in 5795 Patients With Unprotected Left Main Coronary Artery Disease Treated With Stents, Bypass Surgery, or Medication: Insights From a Large International Multicenter Registry.

PubMed

Kang, Se Hun; Ahn, Jung-Min; Lee, Cheol Hyun; Lee, Pil Hyung; Kang, Soo-Jin; Lee, Seung-Whan; Kim, Young-Hak; Lee, Cheol Whan; Park, Seong-Wook; Park, Duk-Woo; Park, Seung-Jung

2017-07-01

Identifying predictive factors for major cardiovascular events and death in patients with unprotected left main coronary artery disease is of great clinical value for risk stratification and possible guidance for tailored preventive strategies. The Interventional Research Incorporation Society-Left MAIN Revascularization registry included 5795 patients with unprotected left main coronary artery disease (percutaneous coronary intervention, n=2850; coronary-artery bypass grafting, n=2337; medication alone, n=608). We analyzed the incidence and independent predictors of major adverse cardiac and cerebrovascular events (MACCE; a composite of death, MI, stroke, or repeat revascularization) and all-cause mortality in each treatment stratum. During follow-up (median, 4.3 years), the rates of MACCE and death were substantially higher in the medical group than in the percutaneous coronary intervention and coronary-artery bypass grafting groups ( P <0.001). In the percutaneous coronary intervention group, the 3 strongest predictors for MACCE were chronic renal failure, old age (≥65 years), and previous heart failure; those for all-cause mortality were chronic renal failure, old age, and low ejection fraction. In the coronary-artery bypass grafting group, old age, chronic renal failure, and low ejection fraction were the 3 strongest predictors of MACCE and death. In the medication group, old age, low ejection fraction, and diabetes mellitus were the 3 strongest predictors of MACCE and death. Among patients with unprotected left main coronary artery disease, the key clinical predictors for MACCE and death were generally similar regardless of index treatment. This study provides effect estimates for clinically relevant predictors of long-term clinical outcomes in real-world left main coronary artery patients, providing possible guidance for tailored preventive strategies. URL: https://clinicaltrials.gov. Unique identifier: NCT01341327. © 2017 American Heart Association, Inc.

Disclosure and Psychological Well-Being of Sexually Abused Adolescents in Hong Kong.

PubMed

Lam, Kindy Yuk-Ip

2015-01-01

The role of disclosure on psychological well-being of adolescents with child sexual abuse experience was investigated in a subsample of 74 disclosers among 800 adolescents recruited in the community in Hong Kong. The results supported that CSA experiences have differential impact on adolescents' psychological well-being. Family characteristics of the disclosers accounted for only a small amount of the variance in an array of psychological well-being measures. CSA characteristics were robust predictors of disclosers' sexual eroticism and externalizing behavioral symptoms. Disclosers' cognitive appraisal of CSA experience and quality of parental attachment were strong predictors of their self-esteem and internalizing behavioral problems. After controlling for the aforementioned factors, negative disclosure experience still significantly predicted lower self-esteem, higher sexual anxiety, more internalizing behavior, and more severe post-traumatic stress disorder responses. Research to understand the factors that generate negative disclosure experiences is needed for developing effective intervention strategies to mitigate the negative consequences of disclosure.

Pre-vaccination inflammation and B-cell signalling predict age-related hyporesponse to hepatitis B vaccination

PubMed Central

Fourati, Slim; Cristescu, Razvan; Loboda, Andrey; Talla, Aarthi; Filali, Ali; Railkar, Radha; Schaeffer, Andrea K.; Favre, David; Gagnon, Dominic; Peretz, Yoav; Wang, I-Ming; Beals, Chan R.; Casimiro, Danilo R.; Carayannopoulos, Leonidas N.; Sékaly, Rafick-Pierre

2016-01-01

Aging is associated with hyporesponse to vaccination, whose mechanisms remain unclear. In this study hepatitis B virus (HBV)-naive older adults received three vaccines, including one against HBV. Here we show, using transcriptional and cytometric profiling of whole blood collected before vaccination, that heightened expression of genes that augment B-cell responses and higher memory B-cell frequencies correlate with stronger responses to HBV vaccine. In contrast, higher levels of inflammatory response transcripts and increased frequencies of pro-inflammatory innate cells correlate with weaker responses to this vaccine. Increased numbers of erythrocytes and the haem-induced response also correlate with poor response to the HBV vaccine. A transcriptomics-based pre-vaccination predictor of response to HBV vaccine is built and validated in distinct sets of older adults. This moderately accurate (area under the curve≈65%) but robust signature is supported by flow cytometry and cytokine profiling. This study is the first that identifies baseline predictors and mechanisms of response to the HBV vaccine. PMID:26742691

Public Health Significance of Neuroticism

PubMed Central

Lahey, Benjamin B.

2009-01-01

The personality trait of neuroticism refers to relatively stable tendencies to respond with negative emotions to threat, frustration, or loss. Individuals in the population vary markedly on this trait, ranging from frequent and intense emotional reactions to minor challenges to little emotional reaction even in the face of significant difficulties. Although not widely appreciated, there is growing evidence that neuroticism is a psychological trait of profound public health significance. Neuroticism is a robust correlate and predictor of many different mental and physical disorders, comorbidity among them, and the frequency of mental and general health service use. Indeed, neuroticism apparently is a predictor of the quality and longevity of our lives. Achieving a full understanding of the nature and origins of neuroticism, and the mechanisms through which neuroticism is linked to mental and physical disorders, should be a top priority for research. Knowing why neuroticism predicts such a wide variety of seemingly diverse outcomes should lead to improved understanding of commonalities among those outcomes and improved strategies for preventing them. PMID:19449983

Implementation of the presence of companions during hospital admission for childbirth: data from the Birth in Brazil national survey.

PubMed

Diniz, Carmen Simone Grilo; d'Orsi, Eleonora; Domingues, Rosa Maria Soares Madeira; Torres, Jacqueline Alves; Dias, Marcos Augusto Bastos; Schneck, Camilla A; Lansky, Sônia; Teixeira, Neuma Zamariano Fanaia; Rance, Susanna; Sandall, Jane

2014-08-01

Robust evidence of the benefits of continuous support during childbirth led to the recommendation that it should be offered for all women. In Brazil, it has been guaranteed by law since 2005, but scarce data on implementation is available. We aimed to estimate the frequency and associated socio-demographic, obstetric and institutional predictors of women having companionship during childbirth in the Birth in Brazil survey. Descriptive statistical analysis was done for the characterization of companions (at different moments of hospital stay), maternal and institutional factors; associations were investigated in bivariate and multivariate models. We found that 24.5% of women had no companion at all, 18.8% had continuous companionship and 56.7% had partial companionship. Independent predictors of having no or partial companionship at birth were: lower income and education, brown color of skin, using the public sector, multiparity, and vaginal delivery. Implementation of companionship was associated with having an appropriate environment, and clear institution al rules about women's rights to companionship.

National GDP, Science Interest and Science Achievement: A Person-by-Nation Interaction

PubMed Central

Drob, Elliot M. Tucker; Cheung, Amanda K.; Briley, Daniel A.

2014-01-01

Maximizing science achievement is a critical target of educational policy, with important implications for national and international economic and technological competitiveness. Previous research has identified both science interest and socioeconomic status (SES) as robust predictors of science achievement, but little research has examined their joint effects. In a dataset drawn from approximately 400,000 high school students from 57 countries, we document large interest by SES and interest by per capita gross domestic product (GDP) interactions in the prediction of science achievement. Student interest in science is a substantially stronger predictor of science achievement in higher socioeconomic contexts and in higher GDP nations. Our results are consistent with the hypothesis that, in higher opportunity contexts, motivational factors play larger roles in learning and achievement. They add to the growing body of evidence indicating that substantial cross national differences in psychological effect sizes are not simply a logical possibility, but in many cases, an empirical reality. PMID:25304883

Gross domestic product, science interest, and science achievement: a person × nation interaction.

PubMed

Tucker-Drob, Elliot M; Cheung, Amanda K; Briley, Daniel A

2014-11-01

Maximizing science achievement is a critical target of educational policy and has important implications for national and international economic and technological competitiveness. Previous research has identified both science interest and socioeconomic status (SES) as robust predictors of science achievement, but little research has examined their joint effects. In a data set drawn from approximately 400,000 high school students from 57 countries, we documented large Science Interest × SES and Science Interest × Per Capita Gross Domestic Product (GDP) interactions in the prediction of science achievement. Student interest in science is a substantially stronger predictor of science achievement in higher socioeconomic contexts and in higher-GDP nations. Our results are consistent with the hypothesis that in higher-opportunity contexts, motivational factors play larger roles in learning and achievement. They add to the growing body of evidence indicating that substantial cross-national differences in psychological effect sizes are not simply a logical possibility but, in many cases, an empirical reality. © The Author(s) 2014.

Quality of Education Predicts Performance on the Wide Range Achievement Test-4th Edition Word Reading Subtest

PubMed Central

Sayegh, Philip; Arentoft, Alyssa; Thaler, Nicholas S.; Dean, Andy C.; Thames, April D.

2014-01-01

The current study examined whether self-rated education quality predicts Wide Range Achievement Test-4th Edition (WRAT-4) Word Reading subtest and neurocognitive performance, and aimed to establish this subtest's construct validity as an educational quality measure. In a community-based adult sample (N = 106), we tested whether education quality both increased the prediction of Word Reading scores beyond demographic variables and predicted global neurocognitive functioning after adjusting for WRAT-4. As expected, race/ethnicity and education predicted WRAT-4 reading performance. Hierarchical regression revealed that when including education quality, the amount of WRAT-4's explained variance increased significantly, with race/ethnicity and both education quality and years as significant predictors. Finally, WRAT-4 scores, but not education quality, predicted neurocognitive performance. Results support WRAT-4 Word Reading as a valid proxy measure for education quality and a key predictor of neurocognitive performance. Future research should examine these findings in larger, more diverse samples to determine their robust nature. PMID:25404004

Emotionality and self-regulation, threat appraisal, and coping in children of divorce.

PubMed

Lengua, L J; Sandler, I N; West, S G; Wolchik, S A; Curran, P J

1999-01-01

A model of the effects of children's temperament (negative and positive emotionality, impulsivity and attention focusing) on post-divorce threat appraisals, coping (active and avoidant), and psychological symptoms (depression and conduct problems) was investigated. The study utilized a sample of 223 mothers and children (ages 9 to 12 years) who had experienced divorce within the last two years. Evidence was found of direct effects of child-report negative emotionality on children's threat perceptions and of child-report positive emotionality and impulsivity on children's coping. Indirect effects of negative emotionality on active and avoidant coping through threat appraisal were found. Direct effects of the temperament variables on symptoms were also found. Cross group analyses indicated that the models were robust to age differences, but gender differences were found in the relation between negative emotionality and depression. The results of this study indicate that temperament and threat appraisals are important predictors of children's post-divorce symptoms, and that temperament is a predictor of children's appraisal and coping process.

Extension and refinement of the predictive value of different classes of markers in ADNI: Four year follow-up data

PubMed Central

Gomar, Jesus J; Conejero-Goldberg, Concepcion; Davies, Peter; Goldberg, Terry E

2014-01-01

Background This study examined the predictive value of different classes of markers in the progression from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD) over an extended 4 year follow-up in ADNI. Methods MCI patients assessed on clinical, cognitive, MRI, PET-FDG, and CSF markers at baseline, and followed on a yearly basis for four years to ascertain progression to AD. Logistic regression models were fitted in clusters including demographics, APOE genotype, cognitive markers, and biomarkers (morphometric, PET-FDG, CSF Abeta and tau). Results The predictive model at four years revealed that two cognitive measures, an episodic memory measure and a clock drawing screening test, were the best predictors of conversion (AUC= 0.78). Conclusions This model of prediction is consistent to the previous model at two years, thus highlighting the importance of cognitive measures in progression from MCI to AD. Cognitive markers were more robust predictors than biomarkers. PMID:24613706

Global motion compensated visual attention-based video watermarking

NASA Astrophysics Data System (ADS)

Oakes, Matthew; Bhowmik, Deepayan; Abhayaratne, Charith

2016-11-01

Imperceptibility and robustness are two key but complementary requirements of any watermarking algorithm. Low-strength watermarking yields high imperceptibility but exhibits poor robustness. High-strength watermarking schemes achieve good robustness but often suffer from embedding distortions resulting in poor visual quality in host media. This paper proposes a unique video watermarking algorithm that offers a fine balance between imperceptibility and robustness using motion compensated wavelet-based visual attention model (VAM). The proposed VAM includes spatial cues for visual saliency as well as temporal cues. The spatial modeling uses the spatial wavelet coefficients while the temporal modeling accounts for both local and global motion to arrive at the spatiotemporal VAM for video. The model is then used to develop a video watermarking algorithm, where a two-level watermarking weighting parameter map is generated from the VAM saliency maps using the saliency model and data are embedded into the host image according to the visual attentiveness of each region. By avoiding higher strength watermarking in the visually attentive region, the resulting watermarked video achieves high perceived visual quality while preserving high robustness. The proposed VAM outperforms the state-of-the-art video visual attention methods in joint saliency detection and low computational complexity performance. For the same embedding distortion, the proposed visual attention-based watermarking achieves up to 39% (nonblind) and 22% (blind) improvement in robustness against H.264/AVC compression, compared to existing watermarking methodology that does not use the VAM. The proposed visual attention-based video watermarking results in visual quality similar to that of low-strength watermarking and a robustness similar to those of high-strength watermarking.

Can personality traits and intelligence compensate for background disadvantage? Predicting status attainment in adulthood.

PubMed

Damian, Rodica Ioana; Su, Rong; Shanahan, Michael; Trautwein, Ulrich; Roberts, Brent W

2015-09-01

This study investigated the interplay of family background and individual differences, such as personality traits and intelligence (measured in a large U.S. representative sample of high school students; N = 81,000) in predicting educational attainment, annual income, and occupational prestige 11 years later. Specifically, we tested whether individual differences followed 1 of 3 patterns in relation to parental socioeconomic status (SES) when predicting attained status: (a) the independent effects hypothesis (i.e., individual differences predict attainments independent of parental SES level), (b) the resource substitution hypothesis (i.e., individual differences are stronger predictors of attainments at lower levels of parental SES), and (c) the Matthew effect hypothesis (i.e., "the rich get richer"; individual differences are stronger predictors of attainments at higher levels of parental SES). We found that personality traits and intelligence in adolescence predicted later attained status above and beyond parental SES. A standard deviation increase in individual differences translated to up to 8 additional months of education, $4,233 annually, and more prestigious occupations. Furthermore, although we did find some evidence for both the resource substitution and the Matthew effect hypotheses, the most robust pattern across all models supported the independent effects hypothesis. Intelligence was the exception, the interaction models being more robust. Finally, we found that although personality traits may help compensate for background disadvantage to a small extent, they do not usually lead to a "full catch-up" effect, unlike intelligence. This was the first longitudinal study of status attainment to test interactive models of individual differences and background factors. (c) 2015 APA, all rights reserved).

Motivational deficits in early schizophrenia: prevalent, persistent, and key determinants of functional outcome.

PubMed

Fervaha, Gagan; Foussias, George; Agid, Ofer; Remington, Gary

2015-08-01

Negative symptoms, in particular motivational deficits, are reported as impediments to functional recovery in patients with schizophrenia. This study examined the prevalence of motivational deficits in patients early in the illness, and the impact these deficits have on community functioning. Patients with schizophrenia between the ages of 18 and 35years, and within 5years of initiating antipsychotic treatment were included in the present investigation (N=166). The impact of motivation and cognition on concurrent and longitudinal functioning was evaluated. Motivational impairments were found in more than 75% of participants, and were not associated with receipt of social support. These deficits served as the most robust and reliable predictor of functional outcome, while neurocognition demonstrated significantly weaker associations with outcome. When considered together, motivational deficits demonstrated a reliable link with concurrent and longitudinal functioning, with cognition not offering any independent predictive value. Moreover, motivation was found to mediate the relationship between cognition and outcome. Changes in motivation were linked to changes in functioning; however, this was not the case for changes in cognitive performance. Motivation emerged as a significant predictor of functioning even after selected demographic and clinical characteristics (e.g., positive symptoms) were accounted for. These data indicate that motivational deficits are prevalent in patients with schizophrenia, even in the early stages of the illness, and these deficits stand as one of the most robust barriers to people with schizophrenia achieving functional recovery. Greater understanding of the mechanisms underlying these deficits is critical to effective treatment innovation. Copyright © 2015 Elsevier B.V. All rights reserved.

Can Personality Traits and Intelligence Compensate for Background Disadvantage? Predicting Status Attainment in Adulthood

PubMed Central

Damian, Rodica Ioana; Su, Rong; Shanahan, Michael; Trautwein, Ulrich; Roberts, Brent W.

2014-01-01

This paper investigates the interplay of family background and individual differences, such as personality traits and intelligence (measured in a large US representative sample of high school students; N = 81,000) in predicting educational attainment, annual income, and occupational prestige eleven years later. Specifically, we tested whether individual differences followed one of three patterns in relation to parental SES when predicting attained status: (a) the independent effects hypothesis (i.e., individual differences predict attainments independent of parental SES level), (b) the resource substitution hypothesis (i.e., individual differences are stronger predictors of attainments at lower levels of parental SES), and (c) the Matthew effect hypothesis (i.e., “the rich get richer,” individual differences are stronger predictors of attainments at higher levels of parental SES). We found that personality traits and intelligence in adolescence predicted later attained status above and beyond parental SES. A standard deviation increase in individual differences translated to up to 8 additional months of education, $4,233 annually, and more prestigious occupations. Furthermore, although we did find some evidence for both the resource substitution and the Matthew effect hypotheses, the most robust pattern across all models supported the independent effects hypothesis. Intelligence was the exception, where interaction models were more robust. Finally, we found that although personality traits may help compensate for background disadvantage to a small extent, they do not usually lead to a “full catch up” effect, unlike intelligence. This was the first longitudinal study of status attainment to test interactive models of individual differences and background factors. PMID:25402679

Attention-deficit/hyperactivity disorder in adolescence predicts onset of major depressive disorder through early adulthood.

PubMed

Meinzer, Michael C; Lewinsohn, Peter M; Pettit, Jeremy W; Seeley, John R; Gau, Jeff M; Chronis-Tuscano, Andrea; Waxmonsky, James G

2013-06-01

The aim of this study was to examine the prospective relationship between a history of attention-deficit/hyperactivity disorder (ADHD) assessed in mid-adolescence and the onset of major depressive disorder (MDD) through early adulthood in a large school-based sample. A secondary aim was to examine whether this relationship was robust after accounting for comorbid psychopathology and psychosocial impairment. One thousand five hundred seven participants from the Oregon Adolescent Depression Project completed rating scales in adolescence and structured diagnostic interviews up to four times from adolescence to age 30. Adolescents with a lifetime history of ADHD were at significantly higher risk of MDD through early adulthood relative to those with no history of ADHD. ADHD remained a significant predictor of MDD after controlling for gender, lifetime history of other psychiatric disorders in adolescence, social and academic impairment in adolescence, stress and coping in adolescence, and new onset of other psychiatric disorders through early adulthood (hazard ratio, 1.81; 95% confidence interval, 1.04, 3.06). Additional significant, robust predictors of MDD included female gender, a lifetime history of an anxiety disorder, and poor coping skills in mid-adolescence, as well as the onset of anxiety, oppositional defiant disorder, and substance-use disorder after mid-adolescence. A history of ADHD in adolescence was associated with elevated risk of MDD through early adulthood and this relationship remained significant after controlling for psychosocial impairment in adolescence and co-occurring psychiatric disorders. Additional work is needed to identify the mechanisms of risk and to inform depression prevention programs for adolescents with ADHD. © 2013 Wiley Periodicals, Inc.

Mortality predictors in a 60-year follow-up of adolescent males: exploring delinquency, socioeconomic status, IQ, high-school drop-out status, and personality.

PubMed

Trumbetta, Susan L; Seltzer, Benjamin K; Gottesman, Irving I; McIntyre, Kathleen M

2010-01-01

To examine whether socioeconomic status (SES), high school (HS) completion, IQ, and personality traits that predict delinquency in adolescence also could explain men's delinquency-related (Dq-r) mortality risk across the life span. Through a 60-year Social Security Death Index (SSDI) follow-up of 1812 men from Hathaway's adolescent normative Minnesota Multiphasic Personality Inventory (MMPI) sample, we examined mortality risk at various ages and at various levels of prior delinquency severity. We examined SES (using family rent level), HS completion, IQ, and MMPI indicators simultaneously as mortality predictors and tested for SES (rent level) interactions with IQ and personality. We ascertained 418 decedents. Dq-r mortality peaked between ages 45 years to 64 years and continued through age 75 years, with high delinquency severity showing earlier and higher mortality risk. IQ and rent level failed to explain Dq-r mortality. HS completion robustly conferred mortality protection through ages 55 years and 75 years, explained IQ and rent level-related risk, but did not fully explain Dq-r risk. Dq-r MMPI scales, Psychopathic Deviate, and Social Introversion, respectively, predicted risk for and protection from mortality by age 75 years, explaining mortality risk otherwise attributable to delinquency. Wiggins' scales also explained Dq-r mortality risk, as Authority Conflict conferred risk for and Social Maladjustment and Hypomania conferred protection from mortality by age 75 years. HS completion robustly predicts mortality by ages 55 years and 75 years. Dq-r personality traits predict mortality by age 75 years, accounting, in part, for Dq-r mortality.

Statistical forecast of seasonal discharge in Central Asia using observational records: development of a generic linear modelling tool for operational water resource management

NASA Astrophysics Data System (ADS)

Apel, Heiko; Abdykerimova, Zharkinay; Agalhanova, Marina; Baimaganbetov, Azamat; Gavrilenko, Nadejda; Gerlitz, Lars; Kalashnikova, Olga; Unger-Shayesteh, Katy; Vorogushyn, Sergiy; Gafurov, Abror

2018-04-01

The semi-arid regions of Central Asia crucially depend on the water resources supplied by the mountainous areas of the Tien Shan and Pamir and Altai mountains. During the summer months the snow-melt- and glacier-melt-dominated river discharge originating in the mountains provides the main water resource available for agricultural production, but also for storage in reservoirs for energy generation during the winter months. Thus a reliable seasonal forecast of the water resources is crucial for sustainable management and planning of water resources. In fact, seasonal forecasts are mandatory tasks of all national hydro-meteorological services in the region. In order to support the operational seasonal forecast procedures of hydro-meteorological services, this study aims to develop a generic tool for deriving statistical forecast models of seasonal river discharge based solely on observational records. The generic model structure is kept as simple as possible in order to be driven by meteorological and hydrological data readily available at the hydro-meteorological services, and to be applicable for all catchments in the region. As snow melt dominates summer runoff, the main meteorological predictors for the forecast models are monthly values of winter precipitation and temperature, satellite-based snow cover data, and antecedent discharge. This basic predictor set was further extended by multi-monthly means of the individual predictors, as well as composites of the predictors. Forecast models are derived based on these predictors as linear combinations of up to four predictors. A user-selectable number of the best models is extracted automatically by the developed model fitting algorithm, which includes a test for robustness by a leave-one-out cross-validation. Based on the cross-validation the predictive uncertainty was quantified for every prediction model. Forecasts of the mean seasonal discharge of the period April to September are derived every month from January until June. The application of the model for several catchments in Central Asia - ranging from small to the largest rivers (240 to 290 000 km2 catchment area) - for the period 2000-2015 provided skilful forecasts for most catchments already in January, with adjusted R2 values of the best model in the range of 0.6-0.8 for most of the catchments. The skill of the prediction increased every following month, i.e. with reduced lead time, with adjusted R2 values usually in the range 0.8-0.9 for the best and 0.7-0.8 on average for the set of models in April just before the prediction period. The later forecasts in May and June improve further due to the high predictive power of the discharge in the first 2 months of the snow melt period. The improved skill of the set of forecast models with decreasing lead time resulted in narrow predictive uncertainty bands at the beginning of the snow melt period. In summary, the proposed generic automatic forecast model development tool provides robust predictions for seasonal water availability in Central Asia, which will be tested against the official forecasts in the upcoming years, with the vision of operational implementation.

Evaluation of the Bitterness of Traditional Chinese Medicines using an E-Tongue Coupled with a Robust Partial Least Squares Regression Method

PubMed Central

Lin, Zhaozhou; Zhang, Qiao; Liu, Ruixin; Gao, Xiaojie; Zhang, Lu; Kang, Bingya; Shi, Junhan; Wu, Zidan; Gui, Xinjing; Li, Xuelin

2016-01-01

To accurately, safely, and efficiently evaluate the bitterness of Traditional Chinese Medicines (TCMs), a robust predictor was developed using robust partial least squares (RPLS) regression method based on data obtained from an electronic tongue (e-tongue) system. The data quality was verified by the Grubb’s test. Moreover, potential outliers were detected based on both the standardized residual and score distance calculated for each sample. The performance of RPLS on the dataset before and after outlier detection was compared to other state-of-the-art methods including multivariate linear regression, least squares support vector machine, and the plain partial least squares regression. Both R2 and root-mean-squares error (RMSE) of cross-validation (CV) were recorded for each model. With four latent variables, a robust RMSECV value of 0.3916 with bitterness values ranging from 0.63 to 4.78 were obtained for the RPLS model that was constructed based on the dataset including outliers. Meanwhile, the RMSECV, which was calculated using the models constructed by other methods, was larger than that of the RPLS model. After six outliers were excluded, the performance of all benchmark methods markedly improved, but the difference between the RPLS model constructed before and after outlier exclusion was negligible. In conclusion, the bitterness of TCM decoctions can be accurately evaluated with the RPLS model constructed using e-tongue data. PMID:26821026

Species Identification and Design Value Estimation of Wooden Members in Covered Bridges

Treesearch

Alex C. Wiedenhoeft; David E. Kretschmann

2014-01-01

Covered timber bridges are historic structures with unique aesthetic value. To preserve this value and maintain bridges in service, robust evaluation of their performance and safety is necessary. The strength of the timber found in covered bridges can vary considerably, not only because of age and condition, but also because of species and grade. For the practicing...

Combining Cloud Networks and Course Management Systems for Enhanced Analysis in Teaching Laboratories

ERIC Educational Resources Information Center

Abrams, Neal M.

2012-01-01

A cloud network system is combined with standard computing applications and a course management system to provide a robust method for sharing data among students. This system provides a unique method to improve data analysis by easily increasing the amount of sampled data available for analysis. The data can be shared within one course as well as…

Optical Microfibre Based Photonic Components and Their Applications in Label-Free Biosensing

PubMed Central

Wang, Pengfei; Bo, Lin; Semenova, Yuliya; Farrell, Gerald; Brambilla, Gilberto

2015-01-01

Optical microfibre photonic components offer a variety of enabling properties, including large evanescent fields, flexibility, configurability, high confinement, robustness and compactness. These unique features have been exploited in a range of applications such as telecommunication, sensing, optical manipulation and high Q resonators. Optical microfibre biosensors, as a class of fibre optic biosensors which rely on small geometries to expose the evanescent field to interact with samples, have been widely investigated. Due to their unique properties, such as fast response, functionalization, strong confinement, configurability, flexibility, compact size, low cost, robustness, ease of miniaturization, large evanescent field and label-free operation, optical microfibres based biosensors seem a promising alternative to traditional immunological methods for biomolecule measurements. Unlabeled DNA and protein targets can be detected by monitoring the changes of various optical transduction mechanisms, such as refractive index, absorption and surface plasmon resonance, since a target molecule is capable of binding to an immobilized optical microfibre. In this review, we critically summarize accomplishments of past optical microfibre label-free biosensors, identify areas for future research and provide a detailed account of the studies conducted to date for biomolecules detection using optical microfibres. PMID:26287252

Constructing robust selves after brain injury: positive identity work among members of a female self-help group.

PubMed

Gelech, Jan; Bayly, Melanie; Desjardins, Michel

2017-04-10

Despite common experiences of identity damage, decline, and deterioration, many brain injury survivors succeed in reconstructing robust identities in the wake of injury. Yet, while this accomplishment greatly benefits survivors' quality of life, little is known about how positive identity work might be facilitated or enhanced in therapeutic institutions. Drawing on data from a women's self-help group, we argue that an egalitarian, reflective, strength-focused, and gender-segregated environment can provide female ABI (acquired brain injury) survivors with a fertile scene for identity enhancement and offer unique opportunities for collective identity development. Sociolinguistic interactional analysis revealed four types of positive identity work undertaken within the group: constructing competent selves; tempering the threat of loss and impairment; resisting infantilisation and delegitimisation; and asserting a collective gender identity. This identity work was facilitated by specific programme attributes and activities and contributed to the global project of decentring disability and destigmatising impairments and losses. We call for increased attention to identity issues in brain injury rehabilitation and argue that gender-segregated programming can provide a unique space for female survivors to construct empowering individual and collective identities after injury.

Robust Hydrophobic Surfaces from Suspension HVOF Thermal Sprayed Rare-Earth Oxide Ceramics Coatings.

PubMed

Bai, M; Kazi, H; Zhang, X; Liu, J; Hussain, T

2018-05-03

This study has presented an efficient coating method, namely suspension high velocity oxy-fuel (SHVOF) thermal spraying, to produce large super-hydrophobic ceramic surfaces with a unique micro- and nano-scale hierarchical structures to mimic natural super-hydrophobic surfaces. CeO 2 was selected as coatings material, one of a group of rare-earth oxide (REO) ceramics that have recently been found to exhibit intrinsic hydrophobicity, even after exposure to high temperatures and abrasive wear. Robust hydrophobic REO ceramic surfaces were obtained from the deposition of thin CeO 2 coatings (3-5 μm) using an aqueous suspension with a solid concentration of 30 wt.% sub-micron CeO 2 particles (50-200 nm) on a selection of metallic substrates. It was found that the coatings' hydrophobicity, microstructure, surface morphology, and deposition efficiency were all determined by the metallic substrates underneath. More importantly, it was demonstrated that the near super-hydrophobicity of SHVOF sprayed CeO 2 coatings was achieved not only by the intrinsic hydrophobicity of REO but also their unique hierarchically structure. In addition, the coatings' surface hydrophobicity was sensitive to the O/Ce ratio, which could explain the 'delayed' hydrophobicity of REO coatings.

Optical Microfibre Based Photonic Components and Their Applications in Label-Free Biosensing.

PubMed

Wang, Pengfei; Bo, Lin; Semenova, Yuliya; Farrell, Gerald; Brambilla, Gilberto

2015-07-22

Optical microfibre photonic components offer a variety of enabling properties, including large evanescent fields, flexibility, configurability, high confinement, robustness and compactness. These unique features have been exploited in a range of applications such as telecommunication, sensing, optical manipulation and high Q resonators. Optical microfibre biosensors, as a class of fibre optic biosensors which rely on small geometries to expose the evanescent field to interact with samples, have been widely investigated. Due to their unique properties, such as fast response, functionalization, strong confinement, configurability, flexibility, compact size, low cost, robustness, ease of miniaturization, large evanescent field and label-free operation, optical microfibres based biosensors seem a promising alternative to traditional immunological methods for biomolecule measurements. Unlabeled DNA and protein targets can be detected by monitoring the changes of various optical transduction mechanisms, such as refractive index, absorption and surface plasmon resonance, since a target molecule is capable of binding to an immobilized optical microfibre. In this review, we critically summarize accomplishments of past optical microfibre label-free biosensors, identify areas for future research and provide a detailed account of the studies conducted to date for biomolecules detection using optical microfibres.

Predictors of response in generalized social phobia: effect of age of onset.

PubMed

Van Ameringen, Michael; Oakman, Jonathan; Mancini, Catherine; Pipe, Beth; Chung, Henry

2004-02-01

Selective serotonin reuptake inhibitors (SSRIs) are the gold standard for the pharmacological treatment of generalized social phobia (GSP). However, little is known about the predictors of response to treatment. Two hundred and four outpatients with GSP were randomized to sertraline (Zoloft) or placebo, for a 20-week double-blind study, with a flexible dose range of sertraline 50 to 200 mg/d. Response was defined as the percentage of patients with a Clinical Global Impression-Improvement scale (CGI-I) of 1 (very much improved) or 2 (much improved). Outcome analyses were conducted using regression models including treatment group as a categorical predictor and study visit as a repeated measure. Dependent measures included Marks Fear Questionnaire (MFQ), Brief Social Phobia Scale (BSPS), CGI-I, and Sheehan Disability Scale (SDS). We investigated several possible predictors of response to treatment including DSM-IV comorbidity, age, sex, age of onset of GSP, and duration of illness. Patients with later-onset (especially adult-onset) GSP tend to have a better response to treatment than those with earlier-onset GSP. This result generally appears in our analyses as a 2-way interaction, where the association with response is greatest for patients with adult-onset GSP (in contrast to those with child or adolescent onset). This finding is most robust for symptom measures, but is still apparent for the Sheehan measure of disability at work. This advantage for later-onset GSP can be accounted for neither by severity of illness nor by duration of illness. Superior treatment outcome for later-onset GSP may be mediated by the degree of social and family disability.

Predictors of the Onset of Cigarette Smoking: A Systematic Review of Longitudinal Population-Based Studies in Youth.

PubMed

Wellman, Robert J; Dugas, Erika N; Dutczak, Hartley; O'Loughlin, Erin K; Datta, Geetanjali D; Lauzon, Béatrice; O'Loughlin, Jennifer

2016-11-01

The onset of cigarette smoking typically occurs during childhood or early adolescence. Nicotine dependence symptoms can manifest soon after onset, contributing to sustained, long-term smoking. Previous reviews have not clarified the determinants of onset. In 2015, a systematic review of the literature in PubMed and EMBASE was undertaken to identify peer-reviewed prospective longitudinal studies published between January 1984 and August 2015 that investigated predictors of cigarette smoking onset among youth aged <18 years who had never smoked. Ninety-eight conceptually different potential predictors were identified in 53 studies. An increased risk of smoking onset was consistently (i.e., in four or more studies) associated with increased age/grade, lower SES, poor academic performance, sensation seeking or rebelliousness, intention to smoke in the future, receptivity to tobacco promotion efforts, susceptibility to smoking, family members' smoking, having friends who smoke, and exposure to films, whereas higher self-esteem and high parental monitoring/supervision of the child appeared to protect against smoking onset. Methodologic weaknesses were identified in numerous studies, including failure to account for attrition or for clustering in samples, and misidentification of potential confounders, which may have led to biased estimates of associations. Predictors of smoking onset for which there is robust evidence should be considered in the design of interventions to prevent first puff in order to optimize their effectiveness. Future research should seek to define onset clearly as the transition from never use to first use (e.g., first few puffs). Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Examining the Predictive Relations between Two Aspects of Self-Regulation and Growth in Preschool Children’s Early Literacy Skills

PubMed Central

Lonigan, Christopher J.; Allan, Darcey M.; Phillips, Beth M.

2016-01-01

There is strong evidence that self-regulatory processes are linked to early academic skills both concurrently and longitudinally. The majority of extant longitudinal studies, however, have been conducted using autoregressive techniques that may not accurately model change across time. The purpose of this study was to examine the unique associations between two components of self-regulation, attention and executive functioning (EF), and growth in early literacy skills over the preschool year using latent-growth-curve analysis. The sample included 1,082 preschool children (M-age = 55.0 months, SD = 3.73). Children completed measures of vocabulary, syntax, phonological awareness, print knowledge, cognitive ability, and self-regulation, and children’s classroom teachers completed a behavior rating measure. To examine the independent relations of the self-regulatory skills and cognitive ability with children’s initial early literacy skills and growth across the preschool year, growth models in which the intercept and slope were simultaneously regressed on each of the predictor variables were examined. Because of the significant relation between intercept and slope for most outcomes, slope was regressed on intercept in the models to allow a determination of direct and indirect effects of the predictors on growth in children’s language and literacy skills across the preschool year. In general, both teacher-rated inattention and directly measured EF were uniquely associated with initial skills level; however, only teacher-rated inattention uniquely predicted growth in early literacy skills. These findings suggest that teacher-ratings of inattention may measure an aspect of self-regulation that is particularly associated with the acquisition of academic skills in early childhood. PMID:27854463

Cultural and Personality Predictors of Facebook Intrusion: A Cross-Cultural Study.

PubMed

Błachnio, Agata; Przepiorka, Aneta; Benvenuti, Martina; Cannata, Davide; Ciobanu, Adela M; Senol-Durak, Emre; Durak, Mithat; Giannakos, Michail N; Mazzoni, Elvis; Pappas, Ilias O; Popa, Camelia; Seidman, Gwendolyn; Yu, Shu; Wu, Anise M S; Ben-Ezra, Menachem

2016-01-01

The increase in the number of users of social networking sites (SNS) has inspired intense efforts to determine intercultural differences between them. The main aim of the study was to investigate the cultural and personal predictors of Facebook intrusion. A total of 2628 Facebook users from eight countries took part in the study. The Facebook Intrusion Questionnaire, the Ten-Item Personality Inventory, and the Singelis Scale were used. We found that two variables related to Country were significantly related to Facebook intrusion: uniqueness (negatively) and low context (positively); of the personality variables, conscientiousness, and emotional stability were negatively related to the dependent variable of Facebook intrusion across different countries, which may indicate the universal pattern of Facebook intrusion. The results of the study will contribute to the international debate on the phenomenon of SNS.

The power of connections: Psychological sense of community as a predictor of volunteerism.

PubMed

Omoto, Allen M; Packard, Cody D

2016-01-01

Two studies explored psychological antecedents of volunteerism, including several dispositional constructs and psychological sense of community (PSOC). In Study 1, 140 retirees completed measures of empathy, self-esteem, generativity, and PSOC, as well as involvement in volunteer organizations and weekly volunteering hours at two points in time. PSOC predicted concurrent and future volunteerism even after controlling for the other predictors. In Study 2 (n = 427), PSOC and measures of environmental concern and connectedness were used to predict current environmental volunteerism and activism. PSOC was the only measure reliably and uniquely related to these behaviors. Across two different domains and operationalizations of PSOC, the findings support the validity and utility of PSOC for understanding general and issue-specific volunteerism. More generally, they highlight social relationships and psychological connections as potential pathways to volunteerism and social action.

Cultural and Personality Predictors of Facebook Intrusion: A Cross-Cultural Study

PubMed Central

Błachnio, Agata; Przepiorka, Aneta; Benvenuti, Martina; Cannata, Davide; Ciobanu, Adela M.; Senol-Durak, Emre; Durak, Mithat; Giannakos, Michail N.; Mazzoni, Elvis; Pappas, Ilias O.; Popa, Camelia; Seidman, Gwendolyn; Yu, Shu; Wu, Anise M. S.; Ben-Ezra, Menachem

2016-01-01

The increase in the number of users of social networking sites (SNS) has inspired intense efforts to determine intercultural differences between them. The main aim of the study was to investigate the cultural and personal predictors of Facebook intrusion. A total of 2628 Facebook users from eight countries took part in the study. The Facebook Intrusion Questionnaire, the Ten-Item Personality Inventory, and the Singelis Scale were used. We found that two variables related to Country were significantly related to Facebook intrusion: uniqueness (negatively) and low context (positively); of the personality variables, conscientiousness, and emotional stability were negatively related to the dependent variable of Facebook intrusion across different countries, which may indicate the universal pattern of Facebook intrusion. The results of the study will contribute to the international debate on the phenomenon of SNS. PMID:27994566

Temperament as a Predictor of Symptomotology and Adaptive Functioning in Adolescents with High-Functioning Autism

PubMed Central

Schwartz, Caley B.; Henderson, Heather A.; Inge, Anne P.; Zahka, Nicole E.; Coman, Drew C.; Kojkowski, Nicole M.; Hileman, Camilla M.; Mundy, Peter C.

2009-01-01

Variation in temperament is characteristic of all people but is rarely studied as a predictor of individual differences among individuals with autism. Relative to a matched comparison sample, adolescents with High-Functioning Autism (HFA) reported lower levels of Surgency and higher levels of Negative Affect. Variability in temperament predicted symptomotology, social skills, and social-emotional outcomes differently for individuals with HFA than for the comparison sample. This study is unique in that temperament was measured by self-report, while all outcome measures were reported by parents. The broader implications of this study suggest that by identifying individual variability in constructs, such as temperament, that may influence adaptive functioning, interventions may be developed to target these constructs and increase the likelihood that individuals with HFA will achieve more adaptive life outcomes. PMID:19165586

Flourishing: exploring predictors of mental health within the college environment.

PubMed

Fink, John E

2014-01-01

To explore the predictive factors of student mental health within the college environment. Students enrolled at 7 unique universities during years 2008 (n=1,161) and 2009 (n=1,459). Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment. In addition to replicating previous findings related to Keyes' Mental Health Continuum, multiple regression analysis revealed several predictors of college student mental health, including supportive college environments, students' sense of belonging, professional confidence, and civic engagement. However, multiple measures of engaged learning were not found to predict mental health. Results suggest that supportive college environments foster student flourishing. Implications for promoting mental health across campus are discussed. Future research should build on exploratory findings and test confirmatory models to better understand relationships between the college environment and student flourishing.

Self-efficacy, stress, and acculturation as predictors of first year science success among Latinos at a South Texas university

NASA Astrophysics Data System (ADS)

McNamara, Mark W.

The study tested the hypothesis that self-efficacy, stress, and acculturation are useful predictors of academic achievement in first year university science, independent of high school GPA and SAT scores, in a sample of Latino students at a South Texas Hispanic serving institution of higher education. The correlational study employed a mixed methods explanatory sequential model. The non-probability sample consisted of 98 university science and engineering students. The study participants had high science self-efficacy, low number of stressors, and were slightly Anglo-oriented bicultural to strongly Anglo-oriented. As expected, the control variables of SAT score and high school GPA were statistically significant predictors of the outcome measures. Together, they accounted for 19.80% of the variation in first year GPA, 13.80% of the variation in earned credit hours, and 11.30% of the variation in intent to remain in the science major. After controlling for SAT scores and high school GPAs, self-efficacy was a statistically significant predictor of credit hours earned and accounted for 5.60% of the variation; its unique contribution in explaining the variation in first year GPA and intent to remain in the science major was not statistically significant. Stress and acculturation were not statistically significant predictors of any of the outcome measures. Analysis of the qualitative data resulted in six themes (a) high science self-efficacy, (b) stressors, (c) positive role of stress, (d) Anglo-oriented, (e) bicultural, and (f) family. The quantitative and qualitative results were synthesized and practical implications were discussed.

First-Grade Cognitive Abilities as Long-Term Predictors of Reading Comprehension and Disability Status

PubMed Central

Fuchs, Douglas; Compton, Donald L.; Fuchs, Lynn S.; Bryant, V. Joan; Hamlett, Carol L.; Lambert, Warren

2012-01-01

In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children’s phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal reasoning. Throughout first grade, they also modeled the students’ reading progress by means of weekly Word Identification Fluency (WIF) tests to derive December and May intercepts. The authors assessed their reading comprehension in the spring of Grades 1–5. With the four cognitive variables and the WIF December intercept as predictors, 50.3% of the variance in fifth-grade reading comprehension was explained: 52.1% of this 50.3% was unique to the cognitive variables, 13.1% to the WIF December intercept, and 34.8% was shared. All five predictors were statistically significant. The same four cognitive variables with the May (rather than December) WIF intercept produced a model that explained 62.1% of the variance. Of this amount, the cognitive variables and May WIF intercept accounted for 34.5% and 27.7%, respectively; they shared 37.8%. All predictors in this model were statistically significant except RAN. Logistic regression analyses indicated that the accuracy with which the cognitive variables predicted end-of-fifth-grade RD status was 73.9%. The May WIF intercept contributed reliably to this prediction; the December WIF intercept did not. Results are discussed in terms of a role for cognitive abilities in identifying, classifying, and instructing students with severe reading problems. PMID:22539057

First-grade cognitive abilities as long-term predictors of reading comprehension and disability status.

PubMed

Fuchs, Douglas; Compton, Donald L; Fuchs, Lynn S; Bryant, V Joan; Hamlett, Carol L; Lambert, Warren

2012-01-01

In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children's phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal reasoning. Throughout first grade, they also modeled the students' reading progress by means of weekly Word Identification Fluency (WIF) tests to derive December and May intercepts. The authors assessed their reading comprehension in the spring of Grades 1-5. With the four cognitive variables and the WIF December intercept as predictors, 50.3% of the variance in fifth-grade reading comprehension was explained: 52.1% of this 50.3% was unique to the cognitive variables, 13.1% to the WIF December intercept, and 34.8% was shared. All five predictors were statistically significant. The same four cognitive variables with the May (rather than December) WIF intercept produced a model that explained 62.1% of the variance. Of this amount, the cognitive variables and May WIF intercept accounted for 34.5% and 27.7%, respectively; they shared 37.8%. All predictors in this model were statistically significant except RAN. Logistic regression analyses indicated that the accuracy with which the cognitive variables predicted end-of-fifth-grade RD status was 73.9%. The May WIF intercept contributed reliably to this prediction; the December WIF intercept did not. Results are discussed in terms of a role for cognitive abilities in identifying, classifying, and instructing students with severe reading problems.

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

PubMed Central

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

2011-01-01

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

Stable “Trait” Variance of Temperament as a Predictor of the Temporal Course of Depression and Social Phobia

PubMed Central

Naragon-Gainey, Kristin; Gallagher, Matthew W.; Brown, Timothy A.

2013-01-01

A large body of research has found robust associations between dimensions of temperament (e.g., neuroticism, extraversion) and the mood and anxiety disorders. However, mood-state distortion (i.e., the tendency for current mood state to bias ratings of temperament) likely confounds these associations, rendering their interpretation and validity unclear. This issue is of particular relevance to clinical populations who experience elevated levels of general distress. The current study used the “trait-state-occasion” latent variable model (Cole, Martin, & Steiger, 2005) to separate the stable components of temperament from transient, situational influences such as current mood state. We examined the predictive power of the time-invariant components of temperament on the course of depression and social phobia in a large, treatment-seeking sample with mood and/or anxiety disorders (N = 826). Participants were assessed three times over the course of one year, using interview and self-report measures; most participants received treatment during this time. Results indicated that both neuroticism/behavioral inhibition (N/BI) and behavioral activation/positive affect (BA/P) consisted largely of stable, time-invariant variance (57% to 78% of total variance). Furthermore, the time-invariant components of N/BI and BA/P were uniquely and incrementally predictive of change in depression and social phobia, adjusting for initial symptom levels. These results suggest that the removal of state variance bolsters the effect of temperament on psychopathology among clinically distressed individuals. Implications for temperament-psychopathology models, psychopathology assessment, and the stability of traits are discussed. PMID:24016004

A high-resolution transcriptome map of cell cycle reveals novel connections between periodic genes and cancer

PubMed Central

Dominguez, Daniel; Tsai, Yi-Hsuan; Gomez, Nicholas; Jha, Deepak Kumar; Davis, Ian; Wang, Zefeng

2016-01-01

Progression through the cell cycle is largely dependent on waves of periodic gene expression, and the regulatory networks for these transcriptome dynamics have emerged as critical points of vulnerability in various aspects of tumor biology. Through RNA-sequencing of human cells during two continuous cell cycles (>2.3 billion paired reads), we identified over 1 000 mRNAs, non-coding RNAs and pseudogenes with periodic expression. Periodic transcripts are enriched in functions related to DNA metabolism, mitosis, and DNA damage response, indicating these genes likely represent putative cell cycle regulators. Using our set of periodic genes, we developed a new approach termed “mitotic trait” that can classify primary tumors and normal tissues by their transcriptome similarity to different cell cycle stages. By analyzing >4 000 tumor samples in The Cancer Genome Atlas (TCGA) and other expression data sets, we found that mitotic trait significantly correlates with genetic alterations, tumor subtype and, notably, patient survival. We further defined a core set of 67 genes with robust periodic expression in multiple cell types. Proteins encoded by these genes function as major hubs of protein-protein interaction and are mostly required for cell cycle progression. The core genes also have unique chromatin features including increased levels of CTCF/RAD21 binding and H3K36me3. Loss of these features in uterine and kidney cancers is associated with altered expression of the core 67 genes. Our study suggests new chromatin-associated mechanisms for periodic gene regulation and offers a predictor of cancer patient outcomes. PMID:27364684

Traumatic stress and cellular senescence: The role of war-captivity and homecoming stressors in later life telomere length.

PubMed

Stein, Jacob Y; Levin, Yafit; Uziel, Orit; Abumock, Heba; Solomon, Zahava

2018-05-30

Telomere length (TL) serves as a biomarker of cellular senescence and is a robust predictor of mortality. The association between traumatic stress and TL erosion is rapidly realized, as are the complexities of this relation that include links to posttraumatic stress disorder (PTSD), depression, and psychosocial factors. Nevertheless, the relation between specific stressors in early adulthood and TL in later life, specifically among populations that have undergone extreme stress in early adulthood are largely uninvestigated. Examining 99 Israeli former prisoners of war (ex-POWs) 18 and 42 years after repatriation, the current study investigated the role that specific stressors during captivity (i.e., physical abuse, nourishment deprivation and solitary confinement) and homecoming (i.e., received social-support, loss of place in the family, loneliness and sense of being accused) play in predicting TL 42 years post-repatriation. Intercorrelations analysis and a hierarchical linear regression were utilized. Variables that have been empirically associated with TL: age, BMI, physical activity, smoking, substance abuse, negative life events since repatriation, depression and PTSD symptoms were controlled for in the regression. Solitary confinement during captivity, and loss of place in the family, loneliness and being accused at homecoming predicted shorter telomeres in later life. The remaining stressors did not significantly predict TL. These findings suggest that an adequate understanding of TL after trauma must consider the unique contributions of specific types of stressors across the lifespan, and particularly account for interpersonal deficits. The findings may inform preventive interventions aimed at improving ex-POWs' longevity and well-being. Copyright © 2018. Published by Elsevier B.V.

Parent and Child Cigarette Use: A Longitudinal, Multigenerational Study

PubMed Central

Staff, Jeremy

2013-01-01

OBJECTIVES: Using longitudinal data from the multigenerational Youth Development Study (YDS), this article documents how parents’ long-term smoking trajectories are associated with adolescent children’s likelihood of smoking. Prospective data from the parents (from age 14–38 years) enable unique comparisons of the parents’ and children’s smoking behavior, as well as that of siblings. METHODS: Smoking trajectories are constructed using latent class analysis for the original YDS cohort (n = 1010). Multigenerational longitudinal data from 214 parents and 314 offspring ages 11 years and older are then analyzed by using logistic regression with cluster-corrected SEs. RESULTS: Four latent smoking trajectories emerged among the original cohort: stable nonsmokers (54%), early-onset light smokers who quit/reduce (16%), late-onset persistent smokers (14%), and early-onset persistent heavy smokers (16%). Although 8% of children of stable nonsmokers smoked in the last year, the other groups’ children had much higher percentages, ranging from 23% to 29%. Multivariate logistic regression models confirm that these significant differences were robust to the inclusion of myriad child- and parent-level measures (for which child age and grade point average [GPA] are significant predictors). Older sibling smoking, however, mediated the link between parental heavy smoking and child smoking. CONCLUSIONS: Even in an era of declining rates of teenage cigarette use in the United States, children of current and former smokers face an elevated risk of smoking. Prevention efforts to weaken intergenerational associations should consider parents’ long-term cigarette use, as well as the smoking behavior of older siblings in the household. PMID:23918887

Temperament and job stress in Japanese company employees.

PubMed

Sakai, Y; Akiyama, T; Miyake, Y; Kawamura, Y; Tsuda, H; Kurabayashi, L; Tominaga, M; Noda, T; Akiskal, K; Akiskal, H

2005-03-01

This study aims to demonstrate the relevance of temperament to job stress. The subjects were 848 male and 366 female Japanese company employees. Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Autoquestionnaire version (TEMPS-A) and Munich Personality Test (MPT) were administered to assess temperaments, and the NIOSH Generic Job Stress Questionnaire (GJSQ) to assess job stress. We used hierarchical multiple linear regression analysis in order to demonstrate whether temperament variables added any unique variance after controlling the effects of other predictors such as gender, age and job rank. In all subscales of the GJSQ, temperament predicted a large share of the variance in job stress. Remarkably, for interpersonal relationship stressors, the temperament variables added greater variance than that predicted by gender, age and job rank. Summary of the hierarchical linear regression analysis showed that the irritable temperament was associated with the most prominent vulnerability, followed by cyclothymic and anxious temperaments. The schizoid temperament had difficulty in the area of social support. On the other hand, the hyperthymic temperament displayed significant robustness in facing most job stressors; the melancholic type showed a similar pattern to a lesser degree. The findings may be different in a clinical Japanese sample, or a cohort of healthy employees from a different cultural background. Temperament influences job stress significantly-indeed, it impacts on such stress with greater magnitude than age, gender and job rank in most areas examined. Temperament influences interpersonal relationship stressors more than workload-related stressors. Interestingly, in line with previous clinical and theoretical formulations, the hyperthymic and melancholic types actually appear to be "hyper-adapted" to the workplace.

Emotion Regulation Mediates the Association Between ADHD and Depressive Symptoms in a Community Sample of Youth

PubMed Central

Seymour, Karen E.; Chronis-Tuscano, Andrea; Iwamoto, Derek K.; Kurdziel, Gretchen; MacPherson, Laura

2014-01-01

The purpose of this study was to examine the longitudinal relationship between attention-deficit/ hyperactivity disorder (ADHD) symptoms, emotion regulation (ER) ability, and depressive symptoms within a diverse community sample of 277 youth, ages 9–12 (56 % male). Participants were drawn from a larger study examining adolescent risk behaviors, and completed annual assessments over 3 years. Youth ADHD symptoms were assessed at Time 1 (T1) using the parent-reported Disruptive Behavior Disorders Rating Scale, ER was assessed with the parent-reported Emotion Regulation Checklist at Time 2 (T2), and youth depressive symptoms were assessed using the self-reported Revised Child Anxiety and Depression Scales at Time 3 (T3). Analyses examined T2 ER as a mediator between T1 ADHD symptoms (including the unique contributions of inattentive [IA] versus hyperactive/impulsive [HI] symptoms) and T3 depressive symptoms. Structural equation modeling (SEM) indicated the path model specified provided an excellent fit to the data. Tests of indirect effects suggested that T2 ER appears to be a significant mechanism that underlies the relationship between T1 ADHD and T3 depression, even when accounting for T1 oppositional defiant and depressive symptoms. Furthermore, while both T1 IA and HI symptoms had significant indirect effects on T3 depression through the mechanism T2 ER, HI proved a more robust predictor of T2 ER than IA. Results of this prospective study support cross-sectional findings pointing to ER as a potential mechanism linking ADHD and depressive symptoms in youth. Clinical implications and future directions are discussed. PMID:24221724

Stable "trait" variance of temperament as a predictor of the temporal course of depression and social phobia.

PubMed

Naragon-Gainey, Kristin; Gallagher, Matthew W; Brown, Timothy A

2013-08-01

A large body of research has found robust associations between dimensions of temperament (e.g., neuroticism, extraversion) and the mood and anxiety disorders. However, mood-state distortion (i.e., the tendency for current mood state to bias ratings of temperament) likely confounds these associations, rendering their interpretation and validity unclear. This issue is of particular relevance to clinical populations who experience elevated levels of general distress. The current study used the "trait-state-occasion" latent variable model (D. A. Cole, N. C. Martin, & J. H. Steiger, 2005) to separate the stable components of temperament from transient, situational influences such as current mood state. We examined the predictive power of the time-invariant components of temperament on the course of depression and social phobia in a large, treatment-seeking sample with mood and/or anxiety disorders (N = 826). Participants were assessed 3 times over the course of 1 year, using interview and self-report measures; most participants received treatment during this time. Results indicated that both neuroticism/behavioral inhibition (N/BI) and behavioral activation/positive affect (BA/P) consisted largely of stable, time-invariant variance (57% to 78% of total variance). Furthermore, the time-invariant components of N/BI and BA/P were uniquely and incrementally predictive of change in depression and social phobia, adjusting for initial symptom levels. These results suggest that the removal of state variance bolsters the effect of temperament on psychopathology among clinically distressed individuals. Implications for temperament-psychopathology models, psychopathology assessment, and the stability of traits are discussed. PsycINFO Database Record (c) 2013 APA, all rights reserved.

The relationship between dietary restraint and binge eating: Examining eating-related self-efficacy as a moderator.

PubMed

Linardon, Jake

2018-05-01

Although dietary restraint has been shown to be a robust predictor of binge eating among women, many women report elevated levels of dietary restraint but do not concurrently exhibit symptoms of binge eating. Moderating variables could therefore interact with dietary restraint to affect its relation to binge eating. One potential factor that may attenuate this relationship is eating-related self-efficacy, defined as the tendency to feel confident in the ability to control eating behaviour under a diverse set of circumstances (e.g., under negative affect, social conflicts). This cross-sectional study examined whether eating-related self-efficacy moderated the relationship between flexible (i.e., a graded approach to dieting, defined by behaviour such as taking smaller servings to regulate body weight, yet still enjoying a variety of foods) and rigid restraint (i.e., an all-or-none approach to eating, characterised by inflexible diet rules) and binge eating. Data were analysed from 237 women. Greater levels of rigid restraint, flexible restraint, and a poorer self-efficacy were shown to predict unique variance in binge eating severity. A significant interaction effect was observed between flexible (but not rigid) restraint and self-efficacy scores on binge eating. Contrary to expectations, however, the flexible restraint-binge eating relationship was largest for those with moderate to strong self-efficacy, and was non-significant for those with poor self-efficacy. Overall, findings suggest that different mechanisms may be operating to maintain binge eating in those with varying levels of eating-related self-efficacy. Copyright © 2018 Elsevier Ltd. All rights reserved.

Applying a Multiple Group Causal Indicator Modeling Framework to the Reading Comprehension Skills of Third, Seventh, and Tenth Grade Students

PubMed Central

Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher

2015-01-01

This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade level. This model included latent predictor constructs of decoding, verbal reasoning, nonverbal reasoning, and working memory and accounted for a large portion of the reading comprehension variance (73% to 87%) across grade levels. Verbal reasoning contributed the most unique variance to reading comprehension at all grade levels. In addition, we fit a multiple group 4-factor MIMIC model to investigate the relative stability (or variability) of the predictor contributions to reading comprehension across development (i.e., grade levels). The results revealed that the contributions of verbal reasoning, nonverbal reasoning, and working memory to reading comprehension were stable across the three grade levels. Decoding was the only predictor that could not be constrained to be equal across grade levels. The contribution of decoding skills to reading comprehension was higher in third grade and then remained relatively stable between seventh and tenth grade. These findings illustrate the feasibility of using MIMIC models to explain individual differences in reading comprehension across the development of reading skills. PMID:25821346

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

NASA Astrophysics Data System (ADS)

Murari, A.; Lungaroni, M.; Peluso, E.; Gaudio, P.; Vega, J.; Dormido-Canto, S.; Baruzzo, M.; Gelfusa, M.; Contributors, JET

2018-05-01

Detecting disruptions with sufficient anticipation time is essential to undertake any form of remedial strategy, mitigation or avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but do not provide a natural estimate of the quality of their outputs and they typically age very quickly. In this paper a new set of tools, based on probabilistic extensions of support vector machines (SVM), are introduced and applied for the first time to JET data. The probabilistic output constitutes a natural qualification of the prediction quality and provides additional flexibility. An adaptive training strategy ‘from scratch’ has also been devised, which allows preserving the performance even when the experimental conditions change significantly. Large JET databases of disruptions, covering entire campaigns and thousands of discharges, have been analysed, both for the case of the graphite and the ITER Like Wall. Performance significantly better than any previous predictor using adaptive training has been achieved, satisfying even the requirements of the next generation of devices. The adaptive approach to the training has also provided unique information about the evolution of the operational space. The fact that the developed tools give the probability of disruption improves the interpretability of the results, provides an estimate of the predictor quality and gives new insights into the physics. Moreover, the probabilistic treatment permits to insert more easily these classifiers into general decision support and control systems.

Advanced statistics: linear regression, part II: multiple linear regression.

PubMed

Marill, Keith A

2004-01-01

The applications of simple linear regression in medical research are limited, because in most situations, there are multiple relevant predictor variables. Univariate statistical techniques such as simple linear regression use a single predictor variable, and they often may be mathematically correct but clinically misleading. Multiple linear regression is a mathematical technique used to model the relationship between multiple independent predictor variables and a single dependent outcome variable. It is used in medical research to model observational data, as well as in diagnostic and therapeutic studies in which the outcome is dependent on more than one factor. Although the technique generally is limited to data that can be expressed with a linear function, it benefits from a well-developed mathematical framework that yields unique solutions and exact confidence intervals for regression coefficients. Building on Part I of this series, this article acquaints the reader with some of the important concepts in multiple regression analysis. These include multicollinearity, interaction effects, and an expansion of the discussion of inference testing, leverage, and variable transformations to multivariate models. Examples from the first article in this series are expanded on using a primarily graphic, rather than mathematical, approach. The importance of the relationships among the predictor variables and the dependence of the multivariate model coefficients on the choice of these variables are stressed. Finally, concepts in regression model building are discussed.

Robust and Simple Non-Reflecting Boundary Conditions for the Euler Equations - A New Approach based on the Space-Time CE/SE Method

NASA Technical Reports Server (NTRS)

Chang, S.-C.; Himansu, A.; Loh, C.-Y.; Wang, X.-Y.; Yu, S.-T.J.

2005-01-01

This paper reports on a significant advance in the area of nonreflecting boundary conditions (NRBCs) for unsteady flow computations. As a part of t he development of t he space-time conservation element and solution element (CE/SE) method, sets of NRBCs for 1D Euler problems are developed without using any characteristics- based techniques. These conditions are much simpler than those commonly reported in the literature, yet so robust that they are applicable to subsonic, transonic and supersonic flows even in the presence of discontinuities. In addition, the straightforward multidimensional extensions of the present 1D NRBCs have been shown numerically to be equally simple and robust. The paper details the theoretical underpinning of these NRBCs, and explains t heir unique robustness and accuracy in terms of t he conservation of space-time fluxes. Some numerical results for an extended Sod's shock-tube problem, illustrating the effectiveness of the present NRBCs are included, together with an associated simple Fortran computer program. As a preliminary to the present development, a review of the basic CE/SE schemes is also included.