Fully on-chip switched capacitor NMOS low dropout voltage regulator

CERN Document Server

Camacho, D; Camacho, Daniel; Moreira, Paulo

2010-01-01

This paper presents a 1.5 V 50 mA low dropout voltage (LDO) regulator using an NMOS transistor as the output pass element. Continuous time,operation of the LDO is achieved using a new switched floating capacitor scheme that raises the gate voltage of the pass element. The regulator has a 0.2 V dropout at a 50 mA load and is stable for a wide load current range with loading capacitances up to 50 pF. The output variation when a full load step is applied is 300 mV and the recovery time is below 0.3 mu s. it is designed in a 0.13 mu m CMOS process with an area of 0.008 mm(2) and its operation does not require any external component.

Towards dropout training for convolutional neural networks.

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Wu, Haibing; Gu, Xiaodong

2015-11-01

Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking activation based on a multinomial distribution at training time. In light of this insight, we advocate employing our proposed probabilistic weighted pooling, instead of commonly used max-pooling, to act as model averaging at test time. Empirical evidence validates the superiority of probabilistic weighted pooling. We also empirically show that the effect of convolutional dropout is not trivial, despite the dramatically reduced possibility of over-fitting due to the convolutional architecture. Elaborately designing dropout training simultaneously in max-pooling and fully-connected layers, we achieve state-of-the-art performance on MNIST, and very competitive results on CIFAR-10 and CIFAR-100, relative to other approaches without data augmentation. Finally, we compare max-pooling dropout and stochastic pooling, both of which introduce stochasticity based on multinomial distributions at pooling stage. Copyright © 2015 Elsevier Ltd. All rights reserved.

Lost without trace: oximetry signal dropout in preterm infants.

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Lim, Kathleen; Wheeler, Kevin I; Jackson, Hamish D; Sadeghi Fathabadi, Omid; Gale, Timothy J; Dargaville, Peter A

2015-09-01

Oxygen saturation (SpO2) signal dropout leaves caregivers without a reliable measure to guide oxygen therapy. We studied SpO2 dropout in preterm infants on continuous positive airway pressure, noting the SpO2 values at signal loss and recovery and thus the resultant change in SpO2, and the factors influencing this parameter. In 32 infants of median gestation 26 weeks, a total of 3932 SpO2 dropout episodes were identified (1.1 episodes/h). In the episodes overall, SpO2 decreased by 1.1%, with the SpO2 change influenced by starting SpO2 (negative correlation), but not dropout duration. For episodes starting in hypoxia (SpO2 dropout, with a downward trajectory in a quarter of cases. We conclude that after signal dropout SpO2 generally recovers in a relative normoxic range. Blind FiO2 adjustments are thus unlikely to be of benefit during most SpO2 dropout episodes. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Dropout during a driving simulator study: A survival analysis.

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Matas, Nicole A; Nettelbeck, Ted; Burns, Nicholas R

2015-12-01

Simulator sickness is the occurrence of motion-sickness like symptoms that can occur during use of simulators and virtual reality technologies. This study investigated individual factors that contributed to simulator sickness and dropout while using a desktop driving simulator. Eighty-eight older adult drivers (mean age 72.82±5.42years) attempted a practice drive and two test drives. Participants also completed a battery of cognitive and visual assessments, provided information on their health and driving habits, and reported their experience of simulator sickness symptoms throughout the study. Fifty-two participants dropped out before completing the driving tasks. A time-dependent Cox Proportional Hazards model showed that female gender (HR=2.02), prior motion sickness history (HR=2.22), and Mini-SSQ score (HR=1.55) were associated with dropout. There were no differences between dropouts and completers on any of the cognitive abilities tests. Older adults are a high-risk group for simulator sickness. Within this group, female gender and prior motion sickness history are related to simulator dropout. Higher reported experience of symptoms of simulator sickness increased rates of dropout. The results highlight the importance of screening and monitoring of participants in driving simulation studies. Older adults, females, and those with a prior history of motion sickness may be especially at risk. Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

Dropout in vocational education

DEFF Research Database (Denmark)

Jørgensen, Christian Helms

For the last ten years drop out of vocational education has increased strongly in Denmark. Only half of the students, who take up a vocational programme on upper secondary level, complete it. Like in other European countries the low completion rates has caused considerable alarm on the political...... level (Lamb and Markussen 2011). Continuing high dropout rates will make it very hard for the government to reach its target for educational completion, and the government has launched a series of measures to increase retention including the obligation for all colleges to make plans for retention...... and monitor the progress in achieving the goals. The questions addressed in this paper are why and how dropout in VET takes place. The objective is to provide more detailed and qualified knowledge of the complex processes of dropping out....

A Bayesian encourages dropout

OpenAIRE

Maeda, Shin-ichi

2014-01-01

Dropout is one of the key techniques to prevent the learning from overfitting. It is explained that dropout works as a kind of modified L2 regularization. Here, we shed light on the dropout from Bayesian standpoint. Bayesian interpretation enables us to optimize the dropout rate, which is beneficial for learning of weight parameters and prediction after learning. The experiment result also encourages the optimization of the dropout.

Working While Studying: The Impact of Term-Time Employment on Dropout Rates

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Hovdhaugen, Elisabeth

2015-01-01

There are many possible reasons why students leave university prior to degree completion, and one of the more commonly cited is being employed while studying. This paper analyses the impact of employment status on dropout rates using survival analysis. It finds that employment status does have an impact on dropout rates; students who work full…

Examining the Factors Affecting Student Dropout

Directory of Open Access Journals (Sweden)

Fethi Ahmet INAN

2006-07-01

Full Text Available This study examined the factors affecting student dropouts in an online certificate program. In this research, a combination of quantitative and qualitative methods was used. Online Course Dropout Survey was developed and used to determine which factors affect student attrition from the program. The dropout survey was sent by e-mail to 98 students who had dropped the program. Twenty-six students returned the survey. The findings show that the most important factor affecting student retention is finding sufficient time to study. Having personal problems and affordability of the program took second and third place.

[Dropout behavior during inpatient psychotherapy ].

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Martens, Ute; Rempel, Irene; Zipfel, Stephan; Enck, Paul; Teufel, Martin

2014-01-01

Dropouts result in far-reaching consequences for the individual patient, fellow patients, therapists, and the clinic. This study was aimed at early identification of patients with a dropout risk. Data from patients of the Department of Psychosomatic Medicine and Psychotherapy of the Medical University Clinic of Tübingen (Germany) were analyzed retrospectively in a case-control study (matched). Differences in the results of various questionnaires (SCL-90-R, IIP-D, SF-36) regarding reasons for dropout and sociodemographic data were analyzed. A total of 59 dropouts, 50 females and 9 males, were included. They were split into 28 early dropouts and 31 late dropouts. The data were compared between early and late dropouts and control group. Early dropouts were significantly younger than late dropouts; they tended to live with their parents or on their own, and suffered more frequently from eating disorders. Late dropouts lived together with partners and suffered from somatoform disorders more frequently than early dropouts. The reasons given for dropout did not differ between the groups. No differences between dropouts and the controls were found with respect to psychopathology (SCL- 90-R) and quality of life (SF-36). Late dropouts did show significantly lower scores on the scale "autocracy/dominance" than the controls (IIP). Therapy dropout is a multifactorial occurrence. It is generally not predictable, though it may be predicted with different instruments on the basis of a diagnosis, especially with respect to interpersonal behavior patterns. In further studies, targeted interventions should be developed and tested which enable procedures to minimize the risk of dropout and to achieve complete treatment according to patients' intentions.

The Dropout Learning Algorithm

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Baldi, Pierre; Sadowski, Peter

2014-01-01

Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dynamic properties of dropout is provided using Bernoulli gating variables, general enough to accommodate dropout on units or connections, and with variable rates. The framework allows a complete analysis of the ensemble averaging properties of dropout in linear networks, which is useful to understand the non-linear case. The ensemble averaging properties of dropout in non-linear logistic networks result from three fundamental equations: (1) the approximation of the expectations of logistic functions by normalized geometric means, for which bounds and estimates are derived; (2) the algebraic equality between normalized geometric means of logistic functions with the logistic of the means, which mathematically characterizes logistic functions; and (3) the linearity of the means with respect to sums, as well as products of independent variables. The results are also extended to other classes of transfer functions, including rectified linear functions. Approximation errors tend to cancel each other and do not accumulate. Dropout can also be connected to stochastic neurons and used to predict firing rates, and to backpropagation by viewing the backward propagation as ensemble averaging in a dropout linear network. Moreover, the convergence properties of dropout can be understood in terms of stochastic gradient descent. Finally, for the regularization properties of dropout, the expectation of the dropout gradient is the gradient of the corresponding approximation ensemble, regularized by an adaptive weight decay term with a propensity for self-consistent variance minimization and sparse representations. PMID:24771879

The new dropout challenge: bridging gaps among students, parents, and teachers.

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Bridgeland, John M

2010-01-01

Interview and survey data reveal significant disconnects among the insights and perspectives of dropouts, parents, teachers, and administrators on the causes and solutions to the dropout challenge. Many educators, for example, do not see boredom as a factor for most dropouts, while young people who drop out see it as the central cause. The author argues that if these disconnects are not more fully understood and bridged, they will continue to set back efforts to keep more students in school and on track to graduate ready for postsecondary education. Models for how communities can engage these constituencies in productive dialogue and transformative action are included in reports and in Grad Nation, a guidebook that helps communities tackle their dropout crises.

Joint modelling of longitudinal outcome and interval-censored competing risk dropout in a schizophrenia clinical trial

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Gueorguieva, Ralitza; Rosenheck, Robert; Lin, Haiqun

2011-01-01

Summary The ‘Clinical antipsychotic trials in intervention effectiveness’ study, was designed to evaluate whether there were significant differences between several antipsychotic medications in effectiveness, tolerability, cost and quality of life of subjects with schizophrenia. Overall, 74 % of patients discontinued the study medication for various reasons before the end of 18 months in phase I of the study. When such a large percentage of study participants fail to complete the study schedule, it is not clear whether the apparent profile in effectiveness reflects genuine changes over time or is influenced by selection bias, with participants with worse (or better) outcome values being more likely to drop out or to discontinue. To assess the effect of dropouts for different reasons on inferences, we construct a joint model for the longitudinal outcome and cause-specific dropouts that allows for interval-censored dropout times. Incorporating the information regarding the cause of dropout improves inferences and provides better understanding of the association between cause-specific dropout and the outcome process. We use simulations to demonstrate the advantages of the joint modelling approach in terms of bias and efficiency. PMID:22468033

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

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

2012-01-10

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

On Stochastic Finite-Time Control of Discrete-Time Fuzzy Systems with Packet Dropout

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Yingqi Zhang

2012-01-01

Full Text Available This paper is concerned with the stochastic finite-time stability and stochastic finite-time boundedness problems for one family of fuzzy discrete-time systems over networks with packet dropout, parametric uncertainties, and time-varying norm-bounded disturbance. Firstly, we present the dynamic model description studied, in which the discrete-time fuzzy T-S systems with packet loss can be described by one class of fuzzy Markovian jump systems. Then, the concepts of stochastic finite-time stability and stochastic finite-time boundedness and problem formulation are given. Based on Lyapunov function approach, sufficient conditions on stochastic finite-time stability and stochastic finite-time boundedness are established for the resulting closed-loop fuzzy discrete-time system with Markovian jumps, and state-feedback controllers are designed to ensure stochastic finite-time stability and stochastic finite-time boundedness of the class of fuzzy systems. The stochastic finite-time stability and stochastic finite-time boundedness criteria can be tackled in the form of linear matrix inequalities with a fixed parameter. As an auxiliary result, we also give sufficient conditions on the stochastic stability of the class of fuzzy T-S systems with packet loss. Finally, two illustrative examples are presented to show the validity of the developed methodology.

Modelling variable dropout in randomised controlled trials with longitudinal outcomes: application to the MAGNETIC study.

Science.gov (United States)

Kolamunnage-Dona, Ruwanthi; Powell, Colin; Williamson, Paula Ruth

2016-04-28

Clinical trials with longitudinally measured outcomes are often plagued by missing data due to patients withdrawing or dropping out from the trial before completing the measurement schedule. The reasons for dropout are sometimes clearly known and recorded during the trial, but in many instances these reasons are unknown or unclear. Often such reasons for dropout are non-ignorable. However, the standard methods for analysing longitudinal outcome data assume that missingness is non-informative and ignore the reasons for dropout, which could result in a biased comparison between the treatment groups. In this article, as a post hoc analysis, we explore the impact of informative dropout due to competing reasons on the evaluation of treatment effect in the MAGNETIC trial, the largest randomised placebo-controlled study to date comparing the addition of nebulised magnesium sulphate to standard treatment in acute severe asthma in children. We jointly model longitudinal outcome and informative dropout process to incorporate the information regarding the reasons for dropout by treatment group. The effect of nebulised magnesium sulphate compared with standard treatment is evaluated more accurately using a joint longitudinal-competing risk model by taking account of such complexities. The corresponding estimates indicate that the rate of dropout due to good prognosis is about twice as high in the magnesium group compared with standard treatment. We emphasise the importance of identifying reasons for dropout and undertaking an appropriate statistical analysis accounting for such dropout. The joint modelling approach accounting for competing reasons for dropout is proposed as a general approach for evaluating the sensitivity of conclusions to assumptions regarding missing data in clinical trials with longitudinal outcomes. EudraCT number 2007-006227-12 . Registration date 18 Mar 2008.

Freshman Year Dropouts: Interactions between Student and School Characteristics and Student Dropout Status

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Zvoch, Keith

2006-01-01

Data from a large school district in the southwestern United States were analyzed to investigate relations between student and school characteristics and high school freshman dropout patterns. Application of a multilevel logistic regression model to student dropout data revealed evidence of school-to-school differences in student dropout rates and…

Linking the Timing of Career and Technical Education Coursetaking with High School Dropout and College-Going Behavior

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Gottfried, Michael A.; Plasman, Jay Stratte

2018-01-01

While prior studies have examined the efficacy of career and technical education (CTE) courses on high school students' outcomes, there is little knowledge on timing of these courses and a potential link to student outcomes. We asked if the timing of these courses predicted differences in the likelihood of dropout and on-time high school…

Predicting Psychotherapy Dropouts: A Multilevel Approach.

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Kegel, Alexander F; Flückiger, Christoph

2015-01-01

The role of therapeutic processes in predicting premature termination of psychotherapy has been a particular focus of recent research. The purpose of this study was to contrast outpatients who completed therapy and those who dropped out with respect to their self-reported in-session experiences of self-esteem, mastery, clarification and the therapeutic alliance. The 296 patients with mixed disorders were treated with an integrative form of cognitive-behavioural therapy without pre-determined time limit (M = 20.2 sessions). Multilevel analyses indicated that patients who did not completetreatment reported, on average, lower levels of self-esteem, mastery and clarification and lower ratings of their therapeutic alliance in treatment in contrast to patients who completed therapy. Patient-reported change in self-esteem experiences over the course of treatment turned out to be the strongest predictor of dropout from psychotherapy or successful completion. When dropout occurred before the average treatment length was reached, patients reported fewer clarifying experiences as early as the first session and their ratings of the therapeutic alliance were characterized by an absence of positive development. Both of these aspects seem to be involved in patients' decisions to leave treatment early. The findings underscore the importance of the therapeutic process in understanding the mechanisms behind treatment dropout. Analyses data from 296 patients at a private outpatient clinic in a routine practice setting (CBT). Completer/dropout definition: presence or absence of measurement battery at post-assessment. Focuses on change in therapy processes by investigating post-session reports. Finds that positive changes in self-esteem experiences is the most robust predictor of dropout, followed by ratings of clarification experiences and the global alliance. In line with recent dropout research, these process indicators might help to detect therapeutic situations that are

Dropout and Federal Graduation Rates 2013-2014. Research Brief. Volume 1407

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Froman, Terry

2015-01-01

The District conducts two kinds of dropout analyses every year in Miami-Dade County Public Schools. The "cross-sectional" analysis of student dropouts examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same…

Drop-out from a psychodynamic group psychotherapy outpatient unit.

Science.gov (United States)

Jensen, Hans Henrik; Mortensen, Erik Lykke; Lotz, Martin

2014-11-01

BACKGROUND. Drop-out from psychotherapy is common and represents a considerable problem in clinical practice and research. Aim. To explore pre-treatment predictors of early and late drop-out from psychodynamic group therapy in a public outpatient unit for non-psychotic disorders in Denmark. Methods. Naturalistic design including 329 patients, the majority with mood, neurotic and personality disorders referred to 39-session group therapy. Predictors were socio-demographic and clinical variables, self-reported symptoms (Symptom Check List-90-Revised) and personality style (Millon Clinical Multiaxial Inventory-II). Drop-out was classified into early and late premature termination excluding patients who dropped out for external reasons. Results. Drop-out comprised 20.6% (68 patients) of the sample. Logistic regression revealed social functioning, vocational training, alcohol problems and antisocial behavior to be related to drop-out. However, early drop-outs had prominent agoraphobic symptoms, lower interpersonal sensitivity and compulsive personality features, and late drop-outs cognitive and somatic anxiety symptoms and antisocial personality features. Clinical and psychological variables accounted for the major part of variance in predictions of drop-out, which ranged from 15.6% to 19.5% (Nagelkerke Pseudo R-Square). Conclusion. Social functioning was consistently associated with drop-out, but personality characteristics and anxiety symptoms differentiated between early and late drop-out. Failure to discriminate between stages of premature termination may explain some of the inconsistencies in the drop-out literature. Clinical implications. Before selection of patients to time-limited psychodynamic groups, self-reported symptoms should be thoroughly considered. Patients with agoraphobic symptoms should be offered alternative treatment. Awareness of and motivation to work with interpersonal issues may be essential for compliance with group therapy.

Drop-out probabilities of IrisPlex SNP alleles

DEFF Research Database (Denmark)

Andersen, Jeppe Dyrberg; Tvedebrink, Torben; Mogensen, Helle Smidt

2013-01-01

In certain crime cases, information about a perpetrator's phenotype, including eye colour, may be a valuable tool if no DNA profile of any suspect or individual in the DNA database matches the DNA profile found at the crime scene. Often, the available DNA material is sparse and allelic drop-out...... of true alleles is possible. As part of the validation of the IrisPlex assay in our ISO17025 accredited, forensic genetic laboratory, we estimated the probability of drop-out of specific SNP alleles using 29 and 30 PCR cycles and 25, 50 and 100 Single Base Extension (SBE) cycles. We observed no drop-out...... when the amount of DNA was greater than 125 pg for 29 cycles of PCR and greater than 62 pg for 30 cycles of PCR. With the use of a logistic regression model, we estimated the allele specific probability of drop-out in heterozygote systems based on the signal strength of the observed allele...

Retrospective cohort study of the South Tyneside Exercise Referral Scheme 2009-14: predictors of dropout and barriers to adherence.

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Kelly, Michael C; Rae, Glen C; Walker, Diane; Partington, Sarah; Dodd-Reynolds, Caroline J; Caplan, Nick

2017-12-01

Exercise Referral Schemes (ERS) are a prevalent method of increasing physical activity levels. However, they suffer from participant dropout and research predicting dropout or barriers to adherence are limited. This study aimed to focus upon the effect of referral characteristics on dropout, dropout predictors and whether self-reported barriers to exercise predict dropout. ERS data from 2009 to 2014 were retrieved for analysis. Chi-squared and t-tests were used to investigate differences between referral characteristics, and logistic regression used to investigate dropout predictors. Of 6894 participants, 37.8% (n = 2608) dropped out within 6 weeks and 50.03% (n = 3449) by the final 12th week. More males adhered (P dropouts being significantly younger (P Dropout predictors were smoking (OR = 1.58, 95% CI: 1.29-1.93) or being a Tier 3 referral (OR = 1.47, 95% CI: 1.25-1.73). Increasing age (OR = 0.98, 95% CI: 0.98-0.99), drinking alcohol (OR = 0.82, 95% CI: 0.71-0.95), secondary care referrals (OR = 0.68, 95% CI: 0.52-0.90), having a lack of motivation (OR = 0.81, 95% CI: 0.69-0.95) or a lack of childcare (OR = 0.69, 95% CI: 0.50-0.95) decreased the likelihood of dropout. ERS dropout continues to be problematic. Smoking and having moderate-high comorbidities predicted dropout. Increasing age and patient-reported barriers of a lack of time or childcare decreased dropout risk. The reasons for dropout require further investigation. © The Author 2016. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

The Societal Benefits and Costs of School Dropout Recovery

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James S. Catterall

2011-01-01

Full Text Available This article reports an analysis of the societal benefits and costs of recovering school dropouts. Successful recovery is defined by subsequent graduation from high school. The analysis is based on established estimates of the societal costs of dropping out including reduced government tax collections and higher social costs of welfare, healthcare, and crime. These potential costs are cast as benefits when a dropout is recovered. A large dropout recovery program provides the setting for the analysis. Rigorous attention is given to accurate estimation of the number of students who would not have graduated without the program in the year assessed and to the induced public costs of their continued education. Estimated benefits are weighed against the total annual public costs of the program, which operates in 65 school centers and commands an annual budget of about $70 million. The estimated benefit-cost ratio for this program is 3 to 1, a figure comparable to benefit-cost ratio estimates reported in studies of dropout prevention. The sensitivity of this conclusion to specific assumptions within the analysis is discussed.

Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey

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Tijdens Kea

2014-03-01

Full Text Available Occupation is key in socioeconomic research. As in other survey modes, most web surveys use an open-ended question for occupation, though the absence of interviewers elicits unidentifiable or aggregated responses. Unlike other modes, web surveys can use a search tree with an occupation database. They are hardly ever used, but this may change due to technical advancements. This article evaluates a three-step search tree with 1,700 occupational titles, used in the 2010 multilingual WageIndicator web survey for UK, Belgium and Netherlands (22,990 observations. Dropout rates are high; in Step 1 due to unemployed respondents judging the question not to be adequate, and in Step 3 due to search tree item length. Median response times are substantial due to search tree item length, dropout in the next step and invalid occupations ticked. Overall the validity of the occupation data is rather good, 1.7-7.5% of the respondents completing the search tree have ticked an invalid occupation.

The influence of different curriculum designs on students' dropout rate: a case study.

Science.gov (United States)

Vergel, John; Quintero, Gustavo A; Isaza-Restrepo, Andrés; Ortiz-Fonseca, Martha; Latorre-Santos, Catalina; Pardo-Oviedo, Juan Mauricio

2018-12-01

The relationship between students' withdrawal and educational variables has generated a considerable number of publications. As the explosion of information in sciences and integration theories led to creating different curriculum designs, it has been assumed that differences among designs explain academic success and, therefore, students' retention. However, little attention has been given to examine explicitly how diverse designs influence dropout rates in practice, which questions if decisions to reform curricula are sufficiently informed. This article describes our curriculum reform, which exposes our former and current curriculum designs as having had dissimilar dropout percentages. Furthermore, we aimed to explore the influence of different curriculum designs on students' dropout rates. The conclusion is that dropout variations may be explained not only because of the curriculum design itself, but also because of the power relationship changes between teachers and students that brought out the design change. Consequently, more research is needed to fully understand the political implications of different curriculum designs and their influence on dropout rates.

The influence of different curriculum designs on students’ dropout rate: a case study

Science.gov (United States)

Vergel, John; Quintero, Gustavo A.; Isaza-Restrepo, Andrés; Ortiz-Fonseca, Martha; Latorre-Santos, Catalina; Pardo-Oviedo, Juan Mauricio

2018-01-01

ABSTRACT The relationship between students’ withdrawal and educational variables has generated a considerable number of publications. As the explosion of information in sciences and integration theories led to creating different curriculum designs, it has been assumed that differences among designs explain academic success and, therefore, students’ retention. However, little attention has been given to examine explicitly how diverse designs influence dropout rates in practice, which questions if decisions to reform curricula are sufficiently informed. This article describes our curriculum reform, which exposes our former and current curriculum designs as having had dissimilar dropout percentages. Furthermore, we aimed to explore the influence of different curriculum designs on students’ dropout rates. The conclusion is that dropout variations may be explained not only because of the curriculum design itself, but also because of the power relationship changes between teachers and students that brought out the design change. Consequently, more research is needed to fully understand the political implications of different curriculum designs and their influence on dropout rates. PMID:29392996

Characteristics of Early Community College Dropouts. CCRC Analytics

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Crosta, Peter M.

2013-01-01

For colleges to develop effective dropout prevention strategies, it is necessary to have a clear picture of who these early dropouts are. This report identifies distinguishing characteristics of this group by analyzing six years of transcript data on 14,429 first-time college students who in 2005 and 2006 enrolled at one of five community colleges…

Dropout Phenomena at Universities

DEFF Research Database (Denmark)

Larsen, Michael Søgaard; Kornbeck, Kasper Pihl; Kristensen, Rune

Dropout from university studies comprises a number of complex phenomena with serious complex consequences and profound political attention. Further analysis of the field is, therefore, warranted. Such an analysis is offered here as a systematic review which gives answers based on the best possible...... such dropout phenomena occur at universities? What can be done by the universities to prevent or reduce such dropout phenomena?...

Adolescent use of school-based health centers and high school dropout.

Science.gov (United States)

Kerns, Suzanne E U; Pullmann, Michael D; Walker, Sarah Cusworth; Lyon, Aaron R; Cosgrove, T J; Bruns, Eric J

2011-07-01

To determine the association between use of school-based health centers (SBHCs) and school dropout. Quasi-experimental longitudinal analysis of a retrospective student cohort, with SBHC use as the independent variable. We statistically controlled for dropout risk and used propensity score regression adjustment to control for several factors associated with SBHC use. Integrated database from an urban public school district (academic outcomes) and department of public health (SBHC use). District-enrolled students in their first semester of ninth grade in 2005 (N = 3334), followed up through their anticipated on-time graduation semester of 12th grade in 2009. Students were divided into 4 groups: never used (47%); low use (23%); moderate use (20%); and high users (10%). Time to nongraduation (described as dropout). Low to moderate SBHC use (0.125-2.5 visits per semester) was associated with a 33% reduction in dropout compared with non-SBHC users. The high-use group (>2.5 visits per semester) did not have dropout rates that differed from nonusers. For SBHC users who did drop out, dropout occurred approximately 1 semester later than nonusers. Exploratory analyses revealed that the association between SBHC use and prevention of dropout was greatest for higher-risk students. This study found an association between low to moderate SBHC use and reductions in dropout for high school students in an urban school district, especially for students at higher risk for dropout. This study supports the theory that benefits of SBHCs extend beyond managing physical and mental health needs to include academic outcomes.

PROXIMAL AND DISTAL FACTORS ASSOCIATED WITH DROPOUT VERSUS MAINTAINED PARTICIPATION IN ORGANIZED SPORT

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Julie C.S. Boiché

2009-03-01

Full Text Available The purpose of this study was to investigate a large number of determinants of sport dropout among French adolescents, in order to reveal proximal and distal factors of dropout. 261 current and 106 dropout athletes (M = 14.6 participated to the study. The data were collected by a questionnaire assessing demographic information, athletes' perceptions on their experience, their parents, teammates and coach. t-tests revealed that current and former athletes were distinct on numerous variables. A discriminant function analysis showed three proximal predictors of sport dropout (perceived value of the activity, satisfaction, parents' investment. Subsequent regression analyses showed that perceived value was positively predicted by perceived competence, the value of the activity for teammates, coach's investment, and negatively by conflicts of interest and goal conflict with teammates; satisfaction was positively predicted by the coach's mastery climate, but negatively predicted by conflicts of interest and goal conflict with teammates and with the coach; parents investment was negatively predicted by the goal conflicts with them. This study permitted to discriminate between proximal and more distal psychological antecedents of the dropout behaviour. It brings information relative to the possible targets of interventions aiming at preventing dropout from organized sport

Efficient batchwise dropout training using submatrices

OpenAIRE

Graham, Ben; Reizenstein, Jeremy; Robinson, Leigh

2015-01-01

Dropout is a popular technique for regularizing artificial neural networks. Dropout networks are generally trained by minibatch gradient descent with a dropout mask turning off some of the units---a different pattern of dropout is applied to every sample in the minibatch. We explore a very simple alternative to the dropout mask. Instead of masking dropped out units by setting them to zero, we perform matrix multiplication using a submatrix of the weight matrix---unneeded hidden units are neve...

Dynamic Average Consensus and Consensusability of General Linear Multiagent Systems with Random Packet Dropout

Directory of Open Access Journals (Sweden)

Wen-Min Zhou

2013-01-01

Full Text Available This paper is concerned with the consensus problem of general linear discrete-time multiagent systems (MASs with random packet dropout that happens during information exchange between agents. The packet dropout phenomenon is characterized as being a Bernoulli random process. A distributed consensus protocol with weighted graph is proposed to address the packet dropout phenomenon. Through introducing a new disagreement vector, a new framework is established to solve the consensus problem. Based on the control theory, the perturbation argument, and the matrix theory, the necessary and sufficient condition for MASs to reach mean-square consensus is derived in terms of stability of an array of low-dimensional matrices. Moreover, mean-square consensusable conditions with regard to network topology and agent dynamic structure are also provided. Finally, the effectiveness of the theoretical results is demonstrated through an illustrative example.

Dropout from cognitive-behavioral therapy for eating disorders: A meta-analysis of randomized, controlled trials.

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Linardon, Jake; Hindle, Annemarie; Brennan, Leah

2018-05-01

Cognitive-behavioral therapy (CBT) is efficacious for a range of eating disorder presentations, yet premature dropout is one factor that might limit CBTs effectiveness. Improved understanding of dropout from CBT for eating disorders is important. This meta-analysis aimed to study dropout from CBT for eating disorders in randomized controlled trials (RCTs), by (a) identifying the types of dropout definitions applied, (b) providing estimates of dropout, (c) comparing dropout rates from CBT to non-CBT interventions for eating disorders, and (d) testing moderators of dropout. RCTs of CBT for eating disorders that reported rates of dropout were searched. Ninety-nine RCTs (131 CBT conditions) were included. Dropout definitions varied widely across studies. The overall dropout estimate was 24% (95% CI = 22-27%). Diagnostic type, type of dropout definition, baseline symptom severity, study quality, and sample age did not moderate this estimate. Dropout was highest among studies that delivered internet-based CBT and was lowest in studies that delivered transdiagnostic enhanced CBT. There was some evidence that longer treatment protocols were associated with lower dropout. No significant differences in dropout rates were observed between CBT and non-CBT interventions for all eating disorder subtypes. Present study dropout estimates are hampered by the use of disparate dropout definitions applied. This meta-analysis highlights the urgency for RCTs to utilize a standardized dropout definition and to report as much information on patient dropout as possible, so that strategies designed to minimize dropout can be developed, and factors predictive of CBT dropout can be more easily identified. © 2018 Wiley Periodicals, Inc.

Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

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Cheng, X. Y.; Wang, H. B.; Jia, Y. L.; Dong, YH

2018-05-01

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

Revisiting the Link Between Depression Symptoms and High School Dropout: Timing of Exposure Matters.

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Dupéré, Véronique; Dion, Eric; Nault-Brière, Frédéric; Archambault, Isabelle; Leventhal, Tama; Lesage, Alain

2018-02-01

Recent reviews concluded that past depression symptoms are not independently associated with high school dropout, a conclusion that could induce schools with high dropout rates and limited resources to consider depression screening, prevention, and treatment as low-priority. Even if past symptoms are not associated with dropout, however, it is possible that recent symptoms are. The goal of this study was to examine this hypothesis. In 12 disadvantaged high schools in Montreal (Canada), all students at least 14 years of age were first screened between 2012 and 2015 (N screened  = 6,773). Students who dropped out of school afterward (according to school records) were then invited for interviews about their mental health in the past year. Also interviewed were matched controls with similar risk profiles but who remained in school, along with average not at-risk schoolmates (N interviewed  = 545). Interviews were conducted by trained graduate students. Almost one dropout out of four had clinically significant depressive symptoms in the 3 months before leaving school. Adolescents with recent symptoms had an odd of dropping out more than twice as high as their peers without such symptoms (adjusted odds ratio = 2.17; 95% confidence interval = 1.14-4.12). In line with previous findings, adolescents who had recovered from earlier symptoms were not particularly at risk. These findings suggest that to improve disadvantaged youths' educational outcomes, investments in comprehensive mental health services are needed in schools struggling with high dropout rates, the very places where adolescents with unmet mental health needs tend to concentrate. Copyright © 2017 The Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Electron Dropout Echoes Induced by Interplanetary Shock: A Statistical Study

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Liu, Z.; Zong, Q.; Hao, Y.; Zhou, X.; Ma, X.; Liu, Y.

2017-12-01

"Electron dropout echo" as indicated by repeated moderate dropout and recovery signatures of the flux of energetic electron in the out radiation belt region has been investigated systematically. The electron dropout and its echoes are usually found for higher energy (> 300 keV) channels fluxes, whereas the flux enhancements are obvious for lower energy electrons simultaneously after the interplanetary shock arrives at the Earth's geosynchronous orbit. 104 dropout echo events have been found from 215 interplanetary shock events from 1998 to 2007 based on LANL satellite data. In analogy to substorm injections, these 104 events could be naturally divided into two categories: dispersionless (49 events) or dispersive (55 events) according to the energy dispersion of the initial dropout. It is found that locations of dispersionless events are distributed mainly in the duskside magnetosphere. Further, the obtained locations derived from dispersive events with the time-of-flight technique of the initial dropout regions are mainly located at the duskside as well. Statistical studies have shown that the effect of shock normal, interplanetary magnetic field Bz and solar wind dynamic pressure may be insignificant to these electron dropout events. We suggest that the electric field impulse induced by the IP shock produces a more pronounced inward migration of electrons at the dusk side, resulting in the observed dusk-side moderate dropout of electron flux and its consequent echoes.

Dropout policies and trends for students with and without disabilities.

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Kemp, Suzanne E

2006-01-01

Students with and without disabilities are dropping out of school at an alarming rate. However, the precise extent of the problem remains elusive because individual schools, school districts, and state departments of education often use different definitional criteria and calculation methods. In addition, specific reasons why students drop out continues to be speculative and minimal research exists validating current dropout prevention programs for students with and without disabilities. This study examined methods secondary school principals used to calculate dropout rates, reasons they believed students dropped out of school, and what prevention programs were being used for students with and without disabilities. Results indicated that school districts used calculation methods that minimized dropout rates, students with and without disabilities dropped out for similar reasons, and few empirically validated prevention programs were being implemented. Implications for practice and directions for future research are discussed.

Dropout and Graduation Rates 2008-2009. Research Brief. Volume 0902

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Research Services, Miami-Dade County Public Schools, 2010

2010-01-01

The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

Dropout and Graduation Rates 2009-2010. Research Brief. Volume 1101

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Research Services, Miami-Dade County Public Schools, 2011

2011-01-01

The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

Dropout and Graduation Rates 2010-2011. Research Brief. Volume 1107

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Research Services, Miami-Dade County Public Schools, 2012

2012-01-01

The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

Dropout and Graduation Rates 2007-2008. Research Brief. Volume 0804

Science.gov (United States)

Research Services, Miami-Dade County Public Schools, 2009

2009-01-01

The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

Student engagement and its relationship with early high school dropout.

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Archambault, Isabelle; Janosz, Michel; Fallu, Jean-Sébastien; Pagani, Linda S

2009-06-01

Although the concept of school engagement figures prominently in most school dropout theories, there has been little empirical research conducted on its nature and course and, more importantly, the association with dropout. Information on the natural development of school engagement would greatly benefit those interested in preventing student alienation during adolescence. Using a longitudinal sample of 11,827 French-Canadian high school students, we tested behavioral, affective, cognitive indices of engagement both separately and as a global construct. We then assessed their contribution as prospective predictors of school dropout using factor analysis and structural equation modeling. Global engagement reliably predicted school dropout. Among its three specific dimensions, only behavioral engagement made a significant contribution in the prediction equation. Our findings confirm the robustness of the overall multidimensional construct of school engagement, which reflects both cognitive and psychosocial characteristics, and underscore the importance attributed to basic participation and compliance issues in reliably estimating risk of not completing basic schooling during adolescence.

Evidence on Dropout Phenomena at Universities

DEFF Research Database (Denmark)

Larsen, Malene Rode; Sommersel, Hanna Bjørnøy; Larsen, Michael Søgaard

This publication is an excerpt from the full technical report ‘Dropout Phenomena at Universities: What is Dropout? Why does Dropout Occur? What Can be Done by the Universities to Prevent or Reduce it? A systematic review’, which was completed in April 2013. The purpose of this excerpt is to present...... the knowledge we have on dropout phenomena at European universities in a short, precise and comprehensible form to allow readers to orient themselves on the subject in a more readable manner....

Is obesity associated with school dropout? Key developmental and ethnic differences

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Lanza, H. Isabella; Huang, David Y.C.

2015-01-01

Background We aimed to expand the literature on child obesity and school outcomes by examining associations between obesity and high school dropout, including the role of obesity onset and duration as well as ethnicity. Methods Data on 5066 children obtained between 1986 and 2010 from the child cohort of the 1979 National Longitudinal Study of Youth (NLSY79) were analyzed. Group-based trajectory analysis identified obesity trajectories from 6-18 years. School completion information from age 14 into young adulthood was used to calculate school dropout. Chi-square and pairwise comparison tests were used to identify significant associations between obesity trajectories and school dropout. Results Adolescents belonging to an increasing trajectory (adolescent-onset obesity) had a higher likelihood of dropping out of high school compared to those belonging to chronic, decreasing (childhood-only obesity), and non-obese trajectories. This association was particularly salient among white adolescents. Conclusions Obesity onset during early adolescence increased risk of high school dropout. White adolescents were particularly vulnerable. Given that early adolescence is marked by significant biological and social changes, future research should seek to identify the underlying processes linking adolescent-obesity and school dropout to decrease school dropout risk among this vulnerable population. PMID:26331748

Predicting dropout in adolescents receiving therapy for depression.

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O'Keeffe, Sally; Martin, Peter; Goodyer, Ian M; Wilkinson, Paul; Consortium, Impact; Midgley, Nick

2017-10-30

Therapy dropout is a common occurrence, especially in adolescence. This study investigated whether dropout could be predicted from a range of child, family, and treatment factors in a sample of adolescents receiving therapy for depression. This study draws on data from 406 participants of the IMPACT study, a randomized controlled trial, investigating three types of therapy in the treatment of adolescent depression. Logistic regression was used to estimate the effects of predictors on the odds of dropout. Few pre-treatment predictors of dropout were found, with the only significant predictors being older age, antisocial behaviour, and lower scores of verbal intelligence. Missed sessions and poorer therapeutic alliance early in treatment also predicted dropout. Most child and family factors investigated were not significantly associated with dropout. There may be little about depressed adolescents' presentation prior to therapy starting that indicates their risk of dropout. However, within-treatment factors indicated that warning signs of dropout may be identifiable during the initial phase of therapy. Identifying and targeting early treatment indicators of dropout may provide possibilities for improving engagement. Clinical and methodological significance of this article: In the literature, a great deal of attention has been paid to child and family factors that predict therapy dropout, yet in this study, few pre-treatment characteristics were predictive of dropout. However, findings revealed possible warning signs of dropout in the early part of treatment, as poor therapeutic alliance and missed sessions were both found to be predictive of dropout. These findings call for therapists to be aware of such warning signs and clinical guidelines for managing cases at risk of dropout are warranted.

Raising Their Voices: Engaging Students, Teachers, and Parents to Help End the High School Dropout Epidemic

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Bridgeland, John M.; Balfanz, Robert; Moore, Laura A.; Friant, Rebecca S.

2010-01-01

High dropout rates continue to be a silent epidemic afflicting the nation's schools. Although some measurable progress is being made in some school districts and states to raise high school graduation rates, and federal, state, and local policies and practices are changing to meet the dropout challenge, the nation's progress is too slow and the…

An Examination of Dropout Rates for Hispanic or Latino Students Enrolled in Online K-12 Schools

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Corry, Michael; Dardick, William; Stella, Julie

2017-01-01

As the number of online K-12 educational offerings continues to grow it is important to better understand key indicators of success for students enrolled in these classes. One of those indicators is student dropout rates. This is particularly important for Hispanic or Latino students who traditionally have high dropout rates. The purpose of this…

Uneven Meibomian Gland Dropout Over the Tarsal Plate and its Correlation With Meibomian Gland Dysfunction.

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Yin, Yue; Gong, Lan

2015-10-01

To evaluate the distribution of meibomian gland dropout and analyze the correlation between dropout and meibomian gland dysfunction (MGD). A total of 161 eyes of 85 patients with MGD were recruited as the MGD group; 88 eyes of 46 health volunteers were enrolled as the control group (2:1 matched for age and sex). Examinations included the Schirmer I test, breakup time, symptom questionnaire, corneal fluorescein staining, meibum quality, meibomian gland expressibility, and meibomian gland dropout. (1) The incidences of chalazion and eyelid surgery were significantly higher in patients with MGD. (2) All clinical indexes were better in healthy volunteers (all P dropout in the upper eyelid was statistically lower (P dropout than did the middle part, except in the lower eyelid of the control group. (4) The entire or partial dropout was positively related to MGD occurrence. Both additive dropout of the entire 2 eyelids and that of the 2 nasal parts had the strongest correlation (r = 0.792, P dropout (r = -0.229, P dropout of additive (r = 0.185, P dropouts exist in different or single eyelids. (2) Dropout evaluation is better when covering the entire area of both upper and lower meibomians. (3) Nasal part dropout plays a more essential role than the other dropouts in MGD occurrence.

San Diego's High School Dropout Crisis

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Wilson, James C.

2012-01-01

This article highlights San Diego's dropout problem and how much it's costing the city and the state. Most San Diegans do not realize the enormous impact high school dropouts on their city. The California Dropout Research Project, located at the University of California at Santa Barbara, has estimated the lifetime cost of one class or cohort of…

Primary Education and Dropout in Nepal

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Devkota, Shree Prasad; Bagale, Shiba

2015-01-01

This article tries to highlight the dropout rate of primary education of Nepal. The main essence of the article is to explore the situation of dropout of primary education. There are several programs and policies to reduce the dropout, out of the school children and so on but still there are several issues that are left behind. Educational budget…

Patient factors predicting early dropout from psychiatric outpatient care for borderline personality disorder.

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De Panfilis, Chiara; Marchesi, Carlo; Cabrino, Chiara; Monici, Alberto; Politi, Virginia; Rossi, Matteo; Maggini, Carlo

2012-12-30

Despite obvious clinical need, factors underlying early treatment discontinuation among 'real world' borderline personality disorder (BPD) patients are still unknown. This study investigates individual characteristics that can predict early (Disorders, fourth edition (DSM-IV) Personality. Sociodemographic, clinical and personality variables potentially relevant for dropout were assessed for all participants at baseline. Early dropouts (n=54) were compared to continuers (n=108) on all measures. Logistic regression was then used to identify independent predictors of early dropout. A history of suicide attempts predicted early discontinuation, whereas the presence of an eating disorder and of avoidant personality features protected from early dropout. If confirmed, these findings may help clinicians operating in general psychiatric settings with estimating the risk of premature treatment discontinuation, and stress the need to specifically address suicidal behaviours in order to improve treatment retention among borderline outpatients. In this regard, implementing general psychiatric care with specialised, evidence-based psychotherapeutic interventions may be deemed necessary. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Does the Empirical Literature Inform Prevention of Dropout among Students with Emotional Disturbance? A Systematic Review and Call to Action

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Sullivan, Amanda L.; Sadeh, Shanna

2016-01-01

For the past 30 years, the dropout rate for students with emotional disturbance has hovered around 50%, a rate substantially higher than the dropout rate for students with other disabilities and the general population. This systematic review evaluated the literature published between 1990 and 2013 on the effectiveness of dropout prevention and…

Star Formation at z~6: i-Dropouts in the Advanced Camera for Surveys Guaranteed Time Observation Fields

Science.gov (United States)

Bouwens, R. J.; Illingworth, G. D.; Rosati, P.; Lidman, C.; Broadhurst, T.; Franx, M.; Ford, H. C.; Magee, D.; Benítez, N.; Blakeslee, J. P.; Meurer, G. R.; Clampin, M.; Hartig, G. F.; Ardila, D. R.; Bartko, F.; Brown, R. A.; Burrows, C. J.; Cheng, E. S.; Cross, N. J. G.; Feldman, P. D.; Golimowski, D. A.; Gronwall, C.; Infante, L.; Kimble, R. A.; Krist, J. E.; Lesser, M. P.; Martel, A. R.; Menanteau, F.; Miley, G. K.; Postman, M.; Sirianni, M.; Sparks, W. B.; Tran, H. D.; Tsvetanov, Z. I.; White, R. L.; Zheng, W.

2003-10-01

Using an i-z dropout criterion, we determine the space density of z~6 galaxies from two deep ACS GTO fields with deep optical-IR imaging. A total of 23 objects are found over 46 arcmin2, or ~0.5+/-0.1 objects arcmin-2 down to zAB~27.3 (6 σ), or a completeness-corrected ~0.5+/-0.2 objects arcmin-2 down to zAB~26.5 (including one probable z~6 active galactic nucleus). Combining deep ISAAC data for our RDCS 1252-2927 field (JAB~25.7 and Ks,AB~25.0 5 σ) and NICMOS data for the Hubble Deep Field-North (J110,AB and H160,AB~27.3, 5 σ), we verify that these dropouts have relatively flat spectral slopes, as one would expect for star-forming objects at z~6. Compared with the average-color (β=-1.3) U-dropout in the Steidel et al. z~3 sample, i-dropouts in our sample range in luminosity from ~1.5L* (zAB~25.6) to ~0.3L* (zAB~27.3) with the exception of one very bright candidate at z850,AB~24.2. The half-light radii vary from 0.09" to 0.21", or 0.5 kpc to 1.3 kpc. We derive the z~6 rest-frame UV luminosity density (or star formation rate density) by using three different procedures. All three procedures use simulations based on a slightly lower redshift (z~5) V606-dropout sample from Chandra Deep Field-South ACS images. First, we make a direct comparison of our findings with a no-evolution projection of this V-dropout sample, allowing us to automatically correct for the light lost at faint magnitudes or lower surface brightnesses. We find 23%+/-25% more i-dropouts than we predict, consistent with no strong evolution over this redshift range. Adopting previous results to z~5, this works out to a mere 20%+/-29% drop in the luminosity density from z~3 to z~6. Second, we use the same V-dropout simulations to derive a detailed selection function for our i-dropout sample and compute the UV-luminosity density [(7.2+/-2.5)×1025 ergs s-1 Hz-1 Mpc-3 down to zAB~27]. We find a 39%+/-21% drop over the same redshift range (z~3-6), consistent with the first estimate. This is our

Evaluation of a Public Awareness Campaign to Prevent High School Dropout.

Science.gov (United States)

Babinski, Leslie M; Corra, Ashley J; Gifford, Elizabeth J

2016-08-01

Many advocacy organizations devote time and resources to increasing community awareness and educating the public in an effort to gain support for their issue. One such effort, the Dropout Prevention Campaign by America's Promise Alliance, aimed to increase the visibility of the high school dropout problem and mobilize the community to take action. The objective of this paper is to evaluate the framing of the Dropout Prevention Campaign in television news media. To evaluate this campaign, television news coverage about high school dropout in 12 U.S. communities (N = 982) was examined. A content analysis of news transcripts was conducted and coded to determine the definition of the problem, the reasons for dropout and the possible solutions. Findings indicated that the high school dropout problem was most often framed (30 % of news segments) in terms of the economic and societal implications for the community. Individual student factors as well as broader societal influences were frequently discussed as possible reasons for dropout. The most commonly mentioned solutions were school-based interventions. News segments that mentioned America's Promise Alliance were more likely to frame the issue as a crisis and to use statistics to illustrate that point. Solutions that were more likely to appear in America's Promise segments promoted community and cross-sector involvement, consistent with the messages promoted by the Dropout Prevention Campaign. The findings suggest that a media content analysis can be an effective framework for analyzing a prevention campaign.

Doctoral Students’ Social Support Profiles and Their Relationship to Burnout, Drop-Out Intentions, and Time to Candidacy

Directory of Open Access Journals (Sweden)

Jouni A Peltonen

2017-08-01

Full Text Available Aim/Purpose: The primary aim of this study was to better understand the individual variations in supervisory and researcher community support among doctoral students by analyzing the social support profiles of Finnish doctoral students. The differences among the profiles, in terms of satisfaction with supervision, experienced burnout, time to candidacy and disciplinary background were also examined. Background: This study explores social support profiles and their association with the experienced burnout, satisfaction with supervision, drop-out intentions, disciplinary background, and form of dissertation among doctoral students by employing a person-oriented approach. Methodology: In total, 402 doctoral students from a Finnish university completed a Doctoral Experience survey. Latent Profile Analysis (LPA was used to group doctoral students according to social support from supervisors and the researcher community. Contribution: The present study is among the first quantitative studies to explore doctoral student social support profiles and their association with burnout, drop-out intentions, and time to candidacy. It brings into focus the importance of supervisory and researcher community support as one of the most crucial assets of doctoral education in researcher communities. Findings: Two social support profiles, a sufficient support from supervisor and researched community, and b insufficient support from both of these, were identified. Further investigation suggested that the doctoral students who received sufficient support were less likely to suffer from burnout and were less likely to develop drop-out intentions than students who received insufficient support from their supervisor and the researcher community. Recommendations for Practitioners: A recommendation deriving from this research is to identify students at risk as early as possible and assist them with sufficient support.

Cigarette Smoking Trajectories From Sixth to Twelfth Grade: Associated Substance Use and High School Dropout.

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Orpinas, Pamela; Lacy, Beth; Nahapetyan, Lusine; Dube, Shanta R; Song, Xiao

2016-02-01

The purpose of this longitudinal study was to identify distinct trajectories of cigarette smoking from sixth to twelfth grade and to characterize these trajectories by use of other drugs and high school dropout. The diverse sample for this analysis consisted of a cohort of 611 students from Northeast Georgia who participated in the Healthy Teens Longitudinal Study (2003-2009). Students completed seven yearly assessments from sixth through twelfth grade. We used semi-parametric, group-based modeling to identify groups of students whose smoking behavior followed a similar progression over time. Current smoking (past 30 day) increased from 6.9% among sixth graders to 28.8% among twelfth graders. Four developmental trajectories of cigarette smoking were identified: Abstainers/Sporadic Users (71.5% of the sample), Late Starters (11.3%), Experimenters (9.0%), and Continuous Users (8.2%). The Abstainer/Sporadic User trajectory was composed of two distinct groups: those who never reported any tobacco use (True Abstainers) and those who reported sporadic, low-level use (Sporadic Users). The True Abstainers reported significantly less use of alcohol and other drugs and lower dropout rates than students in all other trajectories, and Sporadic Users had worse outcomes than True Abstainers. Experimenters and Continuous Users reported the highest drug use. Over one-third of Late Starters (35.8%) and almost half of Continuous Users (44.4%) dropped out of high school. Cigarette smoking was associated with behavioral and academic problems. Results support early and continuous interventions to reduce use of tobacco and other drugs and prevent high school dropout. © The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Shifting problems and shifting policies to reduce student drop-out

DEFF Research Database (Denmark)

Jørgensen, Christian Helms

2016-01-01

, as well as the policies that have been implemented in pursuit of improving student retention. The review identifies two pervasive ways in which the drop-out problem has been framed in both policy and research. The first locates the drop-out problem with individual students, while the second locates...... finds that the rate of student drop-out has been a cause for ongoing concern among policy makers for more than a century, and that the framing of the problem has shifted considerably over time. The problem has variously been placed with the individual apprentice, the basic structure of vocational......Education policy generally places a premium on raising the level of education attained by the young generation ultimately heading towards the labour market. While the rate of enrolment in post-compulsory education has risen in most countries, so too has the rate of drop-out, in particular from...

Illness perception of dropout patients followed up at bipolar outpatient clinic, Turkey.

Science.gov (United States)

Oflaz, Serap; Guveli, Hulya; Kalelioglu, Tevfik; Akyazı, Senem; Yıldızhan, Eren; Kılıc, Kasım Candas; Basyigit, Sehnaz; Ozdemiroglu, Filiz; Akyuz, Fatma; Gokce, Esra; Bag, Sevda; Kurt, Erhan; Oral, Esat Timucin

2015-06-01

Dropout is a common problem in the treatment of psychiatric illnesses including bipolar disorders (BD). The aim of the present study is to investigate illness perceptions of dropout patients with BD. A cross sectional study was done on the participants who attended the Mood Disorder Outpatient Clinic at least 3 times from January 2003 through June 2008, and then failed to attend clinic till to the last one year, 2009, determined as dropout. Thirty-nine dropout patients and 39 attendent patients with BD were recruited for this study. A sociodemographic form and brief illness perception questionnaire were used to capture data. The main reasons of patients with BD for dropout were difficulties of transport (31%), to visit another doctor (26%), giving up drugs (13%) and low education level (59%) is significant for dropout patients. The dropout patients reported that their illness did not critically influence their lives, their treatment had failed to control their illnesses, they had no symptoms, and that their illness did not emotionally affect them. In conclusion, the nonattendance of patients with serious mental illness can result in non-compliance of therapeutic drug regimens, and a recurrence of the appearance symptoms. The perception of illness in dropout patients with BD may be important for understanding and preventing nonattendance. Copyright © 2015 Elsevier B.V. All rights reserved.

Need satisfaction, work-school interference and school dropout: an application of self-determination theory.

Science.gov (United States)

Taylor, Geneviève; Lekes, Natasha; Gagnon, Hugo; Kwan, Lisa; Koestner, Richard

2012-12-01

In many parts of the world, it is common for secondary school students to be involved in part-time employment. Research shows that working can have a negative impact on school engagement. However, the majority of studies have focused on the amount of time that students spend working rather than on the quality of work experience and its influence on school engagement. This study explored the relation of part-time work and school experiences to dropout intentions among secondary school and junior college students. The study was conceptualized from a self-determination theory perspective (Deci & Ryan, 2000). Participants were 3,248 students from rural and suburban schools in the greater region of Montreal, Canada. Questionnaires were used to assess the number of hours worked, the extent to which work interfered with or facilitated school functioning, autonomy, competence, and relatedness experienced in the work and school domains. School performance and school dropout intentions were also assessed. A curvilinear relation between work hours and dropout intentions was found, reflecting that part-time work began to be associated with higher dropout intentions only when students worked more than 7 hr per week. Analyses also showed that work-school interference was related to dropout intentions, and that this variable served to mediate the relation of employer autonomy support to dropout intentions. These results suggest that both the quantity and the quality of students' part-time work experiences need to be considered when examining the relation of work to school engagement. ©2011 The British Psychological Society.

Factors associated with dropout in a group weight-loss programme: a longitudinal investigation.

Science.gov (United States)

Yackobovitch-Gavan, M; Steinberg, D M; Endevelt, R; Benyamini, Y

2015-02-01

Attrition is a major limitation of most weight management intervention programmes. The present study aimed to conduct an extensive investigation of personal, sociodemographic and treatment-related factors associated with attrition at different stages of a 10-week group weight-loss programme. The present study is part of a longitudinal, clinical intervention study comparing three conditions in a 10-week group programme: Control, Behavioural Intentions and Implementation Intentions. The study included 587 participants with a mean (SD) age of 46 (11) years (range 18-78 years) and a mean (SD) body mass index (BMI) of 31.9 (5.5) kg m(-2), with 90% being female. To characterise dropout in each week separately, as well as overall dropout (dropout until week 9, the median time of dropout), we tested several logistic regression models, including multiple imputations to cope with missing data. The results of the different dropout models consistently showed that a smaller reduction in BMI in the first 2 weeks of the programme was the strongest predictor of dropout. Dropout in the tenth and last week differed from the earlier weeks both in the relatively high dropout rate (56% of total dropout) and in that, in contrast to earlier weeks, the week 10 model included the reduction in BMI during the last 2 weeks before dropout but did not include the reduction in BMI at the initiation of the intervention. Weight-loss in the beginning of the programme is a crucial independent determinant of dropout in each week except the last one. This finding is important because it suggests a simple assessment for a major dropout risk factor in adult weight-loss intervention programmes. © 2014 The British Dietetic Association Ltd.

A District View: Dropouts and the Differentiated Diploma

Science.gov (United States)

Holden, E. Todd

2012-01-01

More students are deciding to dropout of school prior to graduation. As a result the dropout rate has become a hot topic in education across the United States. The average high school dropout salary is approximately 50% less than the salary of a high school graduate. The social factors are another reason the dropout rate needs to be a high…

Predictors of school dropout among adolescents in Puerto Rico.

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Calderón, José M; Robles, Rafaela R; Reyes, Juan C; Matos, Tomás D; Negrón, Juan L; Cruz, Miguel A

2009-12-01

This research aims to understand the circumstances associated with school dropout in a cohort of Puerto Rican adolescents. The study collected data from adolescents and their parents. Information related to school dropout among adolescents was obtained from the second year follow-up data from the longitudinal study funded by NIDA "Risky Families Embedded in Risky Environments" (Grant No. R01 DA 15301). Data was collected employing a self-administered and a face-to-face interview protocol. Prediction of school dropout was assessed throughout adolescent characteristics, family background, school experiences and behaviors. During the second follow-up, two years after the baseline assessment, approximately 6.2% of the adolescents reported dropping out from school. Logistic regression analysis indicates that older adolescents (OR = 6.6, 1.37-31.67), whose mother used drugs during pregnancy (OR = 4.9, 1.31-17.91), who reported high rates of absenteeism (OR = 4.8, 1.63-14.13), high school grade retention (OR = 3.7, 1.14-12.05), and attended school where teachers were attacked or wounded by students (O R =7.0, 1.44-34.17) were more likely to dropout of school. : These findings emphasize the need to further understand the effects of different elements of adolescents' environment such as family and school. It has been posited that dropping out of school is a process whose characteristics can be detected long before it occurs. The fact that students who dropout are more likely to report skip classes and grade retention can be relevant elements in prevention and early intervention for teachers and other school personnel.

Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic. Annual Update, 2010-2011

Science.gov (United States)

Balfanz, Robert; Bridgeland, John M.; Fox, Joanna Hornig; Moore, Laura A.

2011-01-01

America continues to make progress in meeting its high school dropout challenge. Leaders in education, government, nonprofits and business have awakened to the individual, social and economic costs of the dropout crisis and are working together to solve it. This year, all states, districts, and schools are required by law to calculate high school…

Factors associated with dropout in medical education: a literature review

DEFF Research Database (Denmark)

O'Neill, Lotte; Wallstedt, Birgitta; Eika, Berit

2011-01-01

Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised.......Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised....

Factors predicting dropout in student nursing assistants.

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Svensson, Annemarie Lyng; Strøyer, Jesper; Ebbehøj, Niels Erik; Mortensen, Ole Steen

2008-12-01

The dropout rate among student nursing assistants (NAs) in Danish health and social care education is high at >20%. To explore if recent low back pain (LBP) history is a predictor of dropout among NA students, taking into account conventional risk factors for LBP, general health and physical fitness. Prospective study with 14-month follow-up (the duration of the education) in two schools of health and social care in the Region of Copenhagen, Denmark. Participants completed a comprehensive questionnaire, and their physical fitness (balance, back extension endurance, back flexion endurance and sagittal flexibility) was assessed at baseline. Dropout was defined as failure to complete NA education. A total of 790 subjects, 87% of those invited, completed the questionnaire; 612 subjects also completed the physical tests and were included in the present study and 500 (83%) were women. Recent LBP was not an independent predictor of school dropout. However, only among women who had LBP were other factors (a history of previous exposure to heavy physical workload, a low mental health score and failure to pass the back extension endurance test) associated with risk of dropout, OR (95% CI)=2.5 (1.2-5.3). Among men, only low height was significantly associated with dropout risk. A recent LBP history was not an independent single predictor of dropout from NA education but was a risk factor in combination with other factors.

The reasons of dropout of sport in Hong Kong school athletes

OpenAIRE

Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W.; Wong, Anthony Siu Wo

2017-01-01

Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two...

The reasons of dropout of sport in Hong Kong school athletes.

Science.gov (United States)

Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W; Wong, Anthony Siu Wo

2017-05-16

Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two predominated reasons of dropout; Influence of parent and training seemed to affect the termination of the sport to a lesser extent. Moreover, the perception of social value and lost focus were significantly different between two groups. Character of coach and teammates affect the engagement of training in school athletes. However, the parental influence had less influence than expected. Training intensity played little role as the dropout reason. Previous experience of dropout had an impact of potential dropout reasons on their current sport training.

The reasons of dropout of sport in Hong Kong school athletes

Science.gov (United States)

Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W.; Wong, Anthony Siu Wo

2017-01-01

Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two predominated reasons of dropout; Influence of parent and training seemed to affect the termination of the sport to a lesser extent. Moreover, the perception of social value and lost focus were significantly different between two groups. Character of coach and teammates affect the engagement of training in school athletes. However, the parental influence had less influence than expected. Training intensity played little role as the dropout reason. Previous experience of dropout had an impact of potential dropout reasons on their current sport training. PMID:28959788

Modeling the Magnetopause Shadowing Loss during the October 2012 Dropout Event

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Tu, Weichao; Cunningham, Gregory

2017-04-01

The relativistic electron flux in Earth's outer radiation belt are observed to drop by orders of magnitude on timescales of a few hours, which is called radiation belt dropouts. Where do the electrons go during the dropouts? This is one of the most important outstanding questions in radiation belt studies. Radiation belt electrons can be lost either by precipitation into the atmosphere or by transport across the magnetopause into interplanetary space. The latter mechanism is called magnetopause shadowing, usually combined with outward radial diffusion of electrons due to the sharp radial gradient it creates. In order to quantify the relative contribution of these two mechanisms to radiation belt dropout, we performed an event study on the October 2012 dropout event observed by Van Allen Probes. First, the precipitating MeV electrons observed by multiple NOAA POES satellites at low altitude did not show evidence of enhanced precipitation during the dropout, which suggested that precipitation was not the dominant loss mechanism for the event. Then, in order to simulate the magnetopause shadowing loss and outward radial diffusion during the dropout, we applied a radial diffusion model with electron lifetimes on the order of electron drift periods outside the last closed drift shell. In addition, realistic and event-specific inputs of radial diffusion coefficients (DLL) and last closed drift shell (LCDS) were implemented in the model. Specifically, we used the new DLL developed by Cunningham [JGR 2016] which were estimated in realistic TS04 [Tsyganenko and Sitnov, JGR 2005] storm time magnetic field model and included physical K (2nd adiabatic invariant) or pitch angle dependence. Event-specific LCDS traced in TS04 model with realistic K dependence was also implemented. Our simulation results showed that these event-specific inputs are critical to explain the electron dropout during the event. The new DLL greatly improved the model performance at low L* regions (L*dropout

Rethinking Dropout in Online Higher Education: The Case of the Universitat Oberta de Catalunya

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Josep Grau-Valldosera

2014-02-01

Full Text Available In recent years, several studies have been carried out into the reasons why students drop out of online higher education, following the rise in the relative weight of this form of education. However, more effort has gone into analyzing the causes of this phenomenon than into trying to characterize students who drop out, that is defining what a dropout student is. But obtaining a proper definition of dropout is just as important as describing its causes. It also appears that the definition of dropout is very sensitive to context. As one of the main findings of this article, we reach a pure empirical definition, at a programme level, of students who drop out of an online higher education context with non-mandatory enrollment. This definition is based on the probability of students not continuing a specific academic programme following several consecutive semesters of “theoretical break”, and is highly adaptable to institutions offering distance education with no permanence requirements, that is ones offering the possibility of taking breaks. Our findings show that there are differences regarding the number of consecutive semesters that define dropout depending on whether the programme requires previous experience or not. Additionally, we observe significant differences in the dropout rate between specific programmes, as well as a higher level of dropout in the first semesters. Analyzing the reasons behind these facts should help higher education institutions to make more sound and efficient decisions.

Drop-out and admission cancel rate among the students in a selected medical college.

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Wahed, F; Latif, S A; Mahamud, M M; Nessa, A; Hossain, M A; Sultana, S Z; Hossain, M B

2011-04-01

A record based descriptive type of study was carried out among the under-graduate students of Mymensingh Medical College from the session 1966-67 to 2006-07. The academic years were divided into four decades and admission was followed into three categories such as retained, cancellation and drop-out. Total number of the students was 5892. Among them 3848(65.30%) were male and 2044(34.69%) were female. Out of 5892 students drop-out was 282(4.78%) and admission cancel was 304(5.15%). It was also found that drop-out in male was 232(6.02%) and in female was 50(2.44%) and admission cancel in male was 266(5.87%) and in female was 78(3.81%). The difference was found statistically significant (pcancel rate is decreasing from the very beginning to till now. It was also observed that all drop-out and admission cancellation were in first & second year students. There was no continuation of their class roll numbers in third year registration.

Predictors of dropout from inpatient dialectical behavior therapy among women with borderline personality disorder.

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Rüsch, Nicolas; Schiel, Sarah; Corrigan, Patrick W; Leihener, Florian; Jacob, Gitta A; Olschewski, Manfred; Lieb, Klaus; Bohus, Martin

2008-12-01

Inpatient dialectical behavior therapy (DBT) is an effective treatment for borderline personality disorder (BPD), but often treatment is ended prematurely and predictors of dropout are poorly understood. We, therefore, studied predictors of dropout among 60 women with BPD during inpatient DBT. Non-completers had higher experiential avoidance and trait anxiety at baseline, but fewer life-time suicide attempts than completers. There was a trend for more anger-hostility and perceived stigma among non-completers. Experiential avoidance and anxiety may be associated with dropout in inpatient DBT. Low life-time suicidality and high anger could reflect a subtype at risk for discontinuation of inpatient treatment.

Data-driven system to predict academic grades and dropout

Science.gov (United States)

Rovira, Sergi; Puertas, Eloi

2017-01-01

Nowadays, the role of a tutor is more important than ever to prevent students dropout and improve their academic performance. This work proposes a data-driven system to extract relevant information hidden in the student academic data and, thus, help tutors to offer their pupils a more proactive personal guidance. In particular, our system, based on machine learning techniques, makes predictions of dropout intention and courses grades of students, as well as personalized course recommendations. Moreover, we present different visualizations which help in the interpretation of the results. In the experimental validation, we show that the system obtains promising results with data from the degree studies in Law, Computer Science and Mathematics of the Universitat de Barcelona. PMID:28196078

The time to degree or dropout amongst full-time master's students at University of KwaZulu-Natal

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Temesgen Zewotir

2015-09-01

Full Text Available Universities around the world are grappling with strategies to increase throughput and minimise dropout rates of postgraduate students. This study focuses on students at the University of KwaZulu-Natal and we attempt to estimate the time that it takes for these students to successfully complete or drop out from a master's programme. We used survival analysis to identify the factors which affect this. The results of this analysis showed that having some form of financial aid and/or being a student in the Faculties of Humanities or Management, all significantly shortened the length of time that it took to eventually drop out from a master's programme. For students who successfully completed a master's degree, having some form of financial aid, being of international origin and/or being registered in the Faculties of Health, Humanities, Law or Management, all helped to significantly shorten the length of time it took to successfully complete a master's programme. Students in the Faculty of Medicine, however, took longer to successfully complete their studies. Black Africans took less time to complete their master's degrees when compared with otherwise identical students from the other race groups.

Comparing Dropouts and Persistence in E-Learning Courses

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Levy, Yair

2007-01-01

Several studies have been conducted related to dropouts from on-campus and distance education courses. However, no clear definition of dropout from academic courses was provided. Consequently, this study proposes a clear and precise definition of dropout from academic courses in the context of e-learning courses. Additionally, it is documented in…

Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care.

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Theunissen, Marie-José; Bosma, Hans; Verdonk, Petra; Feron, Frans

2015-01-01

To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks. In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC) files (that contain information from birth onwards) and additional questionnaires filled out by 529 youngsters, aged 18-23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample. One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43-0.93) in infancy and self-efficacy (OR 0.53, 95% CI 0.38-0.74) in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53-5.14) in middle childhood and (sickness) absence (OR 5.62, 95% CI 2.18-14.52) in adolescence increased the risks. To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care.

Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care.

Directory of Open Access Journals (Sweden)

Marie-José Theunissen

Full Text Available To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks.In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC files (that contain information from birth onwards and additional questionnaires filled out by 529 youngsters, aged 18-23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample.One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43-0.93 in infancy and self-efficacy (OR 0.53, 95% CI 0.38-0.74 in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53-5.14 in middle childhood and (sickness absence (OR 5.62, 95% CI 2.18-14.52 in adolescence increased the risks.To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care.

Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care

Science.gov (United States)

Theunissen, Marie-José; Bosma, Hans; Verdonk, Petra; Feron, Frans

2015-01-01

Background To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks. Methods In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC) files (that contain information from birth onwards) and additional questionnaires filled out by 529 youngsters, aged 18–23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample. Results One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43–0.93) in infancy and self-efficacy (OR 0.53, 95% CI 0.38–0.74) in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53–5.14) in middle childhood and (sickness) absence (OR 5.62, 95% CI 2.18–14.52) in adolescence increased the risks. Conclusion To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care

Parents and the School Dropout Problem.

Science.gov (United States)

Ferguson, Earl E.; Killingsworth, Jerry

1987-01-01

The school dropout problem is discussed, with suggestions for parents on ensuring that their children do not become part of the dropout population, including; monitoring children's school attendance patterns; making sure children understand how important school and attendance is; maintaining close contact with teachers; and helping children…

Patterns, Consequences, and Possible Causes of Dropout in Upper Secondary Education in Mexico

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Raja Bentaouet Kattan

2015-01-01

Full Text Available The present study provides a detailed analysis of upper secondary education dropout patterns in Mexico, exploring its consequences and possible causes. To perform the analysis we combine different databases and statistical methods ranging from the use of surveys with information on specific individuals to data aggregated at the municipal and state level. The main value added is the simultaneous analysis of the influence of individual-family, community, and macroaggregate factors, on school dropout in the country.

Allelic drop-out probabilities estimated by logistic regression

DEFF Research Database (Denmark)

Tvedebrink, Torben; Eriksen, Poul Svante; Asplund, Maria

2012-01-01

We discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. [7] and the concerns, that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out...... is occurring. With this discussion, we hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. We discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions....

Dropouts and Budgets: A Test of a Dropout Reduction Model among Students in Israeli Higher Education

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Bar-Am, Ran; Arar, Osama

2017-01-01

This article deals with the problem of student dropout during the first year in a higher education institution. To date, no model on a budget has been developed and tested to prevent dropout among Engineering Students. This case study was conducted among first-year students taking evening classes in two practical engineering colleges in Israel.…

Can a Public Scholarship Program Successfully Reduce School Drop-Outs in a Time of Economic Crisis? Evidence from Indonesia

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Cameron, Lisa

2009-01-01

This paper evaluates the role played by Indonesia's Social Safety Net Scholarships Program in reducing school drop-out rates during the Asian financial crisis. The expectation was that many families would find it difficult to keep their children in school and drop-out rates would be high. The scholarships are found to have been effective in…

Relativistic electron dropout echoes induced by interplanetary shocks

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Schiller, Q.; Kanekal, S. G.; Boyd, A. J.; Baker, D. N.; Blake, J. B.; Spence, H. E.

2017-12-01

Interplanetary shocks that impact Earth's magnetosphere can produce immediate and dramatic responses in the trapped relativistic electron population. One well-studied response is a prompt injection capable of transporting relativistic electrons deep into the magnetosphere and accelerating them to multi-MeV energies. The converse effect, electron dropout echoes, are observations of a sudden dropout of electron fluxes observed after the interplanetary shock arrival. Like the injection echo signatures, dropout echoes can also show clear energy dispersion signals. They are of particular interest because they have only recently been observed and their causal mechanism is not well understood. In the analysis presented here, we show observations of electron drift echo signatures from the Relativistic Electron-Proton Telescope (REPT) and Magnetic Electron and Ion Sensors (MagEIS) onboard NASA's Van Allen Probes mission, which show simultaneous prompt enhancements and dropouts within minutes of the associated with shock impact. We show that the observations associated with both enhancements and dropouts are explained by the inward motion caused by the electric field impulse induced by the interplanetary shock, and either energization to cause the enhancement, or lack of a seed population to cause the dropout.

West Virginia Dropout Study, 1985-86.

Science.gov (United States)

West Virginia State Dept. of Education, Charleston. Div. of General and Special Educational Development.

Reported in this document are dropout statistics from the State of West Virginia for the school year 1985-86. This annual survey of the 55 county school systems has been conducted since the 1968-69 school year. Topics surveyed include Education Consolidation and Improvement Act (ECIA) status, exit interviews, grade at exit, month dropout left…

University Drop-Out: An Italian Experience

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Belloc, Filippo; Maruotti, Antonello; Petrella, Lea

2010-01-01

University students' drop-out is a crucial issue for the universities' efficiency evaluation and funding. In this paper, we analyze the drop-out rate of the Economics and Business faculty of Sapienza University of Rome. We use administrative data on 9,725 undergraduates students enrolled in three-years bachelor programs from 2001 to 2007 and…

Addition by Subtraction: The Relation Between Dropout Rates and School-Level Academic Achievement.

Science.gov (United States)

Glennie, Elizabeth; Bonneau, Kara; Vandellen, Michelle; Dodge, Kenneth A

2012-01-01

Efforts to improve student achievement should increase graduation rates. However, work investigating the effects of student-level accountability has consistently demonstrated that increases in the standards for high school graduation are correlated with increases in dropout rates. The most favored explanation for this finding is that high-stakes testing policies that mandate grade repetition and high school exit exams may be the tipping point for students who are already struggling academically. These extra demands may, in fact, push students out of school. This article examines two hypotheses regarding the relation between school-level accountability and dropout rates. The first posits that improvements in school performance lead to improved success for everyone. If school-level accountability systems improve a school for all students, then the proportion of students performing at grade level increases, and the dropout rate decreases. The second hypothesis posits that schools facing pressure to improve their overall accountability score may pursue this increase at the cost of other student outcomes, including dropout rate. Our approach focuses on the dynamic relation between school-level academic achievement and dropout rates over time-that is, between one year's achievement and the subsequent year's dropout rate, and vice versa. This article employs longitudinal data of records on all students in North Carolina public schools over an 8-year period. Analyses employ fixed-effects models clustering schools and districts within years and controls each year for school size, percentage of students who were free/reduced-price lunch eligible, percentage of students who are ethnic minorities, and locale. This study finds partial evidence that improvements in school-level academic performance will lead to improvements (i.e., decreases) in school-level dropout rates. Schools with improved performance saw decreased dropout rates following these successes. However, we find

The Negative Impact of Early Peritonitis on Continuous Ambulatory Peritoneal Dialysis Patients

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Hsieh, Yao-Peng; Wang, Shu-Chuan; Chang, Chia-Chu; Wen, Yao-Ko; Chiu, Ping-Fang; Yang, Yu

2014-01-01

♦ Background: Peritonitis rate has been reported to be associated with technique failure and overall mortality in previous literatures. However, information on the impact of the timing of the first peritonitis episode on continuous ambulatory peritoneal dialysis (CAPD) patients is sparse. The aim of this research is to study the influence of time to first peritonitis on clinical outcomes, including technique failure, patient mortality and dropout from peritoneal dialysis (PD). ♦ Methods: A retrospective observational cohort study was conducted over 10 years at a single PD unit in Taiwan. A total of 124 patients on CAPD with at least one peritonitis episode comprised the study subjects, which were dichotomized by the median of time to first peritonitis into either early peritonitis patients or late peritonitis patients. Cox proportional hazard model was used to analyze the correlation of the timing of first peritonitis with clinical outcomes. ♦ Results: Early peritonitis patients were older, more diabetic and had lower serum levels of creatinine than the late peritonitis patients. Early peritonitis patients were associated with worse technique survival, patient survival and stay on PD than late peritonitis patients, as indicated by Kaplan-Meier analysis (log-rank test, p = 0.04, p peritonitis was still a significant predictor for technique failure (hazard ratio (HR), 0.54; 95% confidence interval (CI), 0.30 - 0.98), patient mortality (HR, 0.34; 95% CI, 0.13 - 0.92) and dropout from PD (HR, 0.50; 95% CI, 0.30 - 0.82). In continuous analyses, a 1-month increase in the time to the first peritonitis episode was associated with a 2% decreased risk of technique failure (HR, 0.98; 95% CI, 0.97 - 0.99), a 3% decreased risk of patient mortality (HR, 0.97; 95% CI, 0.95 - 0.99), and a 2% decreased risk of dropout from PD (HR, 98%; 95% CI, 0.97 - 0.99). Peritonitis rate was inversely correlated with time to first peritonitis according to the Spearman analysis (r = -0

Adjustment of High School Dropouts in Closed Religious Communities

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Itzhaki, Yael; Itzhaky, Haya; Yablon, Yaacov B.

2018-01-01

Background: While extensive research has been done on high-school dropouts' adjustment, there is little data on dropouts from closed religious communities. Objective: This study examines the contribution of personal and social resources to the adjustment of high school dropouts in Ultraorthodox Jewish communities in Israel. Method: Using a…

University Students’ Tendencies Toward and Reasons Behind Dropout

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Hüseyin ŞİMŞEK

2013-04-01

Full Text Available In this research conducted to investigate university students’ tendencies toward and reasons behind dropout, it was found that university students had a high level of tendency towards dropout (45%. This indicated that one out of two students wanted to drop out of school at least once for a reason. As a result, their tendencies toward dropout was due to personal factors as well as those related to family, friends, and school. The personal factors affecting tendency toward dropout were gender, academic performance, school attendance, out-of-school work, boredom at school, and discipline penalty. According to the results, the factors related to school were faculty type, level of satisfaction with administrative and teaching staff as well as with social activities, level of difficulty in the department, and willingness to choose faculty. Furthermore, in this study, a positive relationship was found between dropout tendency and possession of close friends who dropped out of school.

Parenting practices and school dropout: a longitudinal study.

Science.gov (United States)

Blondal, Kristjana S; Adalbjarnardottir, Sigrun

2009-01-01

Adolescents' perceptions of parenting style and parental involvement in their education were examined longitudinally and related to school dropout among Icelandic youth (N = 427). Results indicated that adolescents who, at age 14, characterized their parents as authoritative (showing acceptance and supervision) were more likely to have completed upper secondary school by age 22 than adolescents from non-authoritative families, controlling for adolescents' gender, socioeconomic status (SES), temperament, and parental involvement. Parenting style seems to more strongly predict school dropout than parental involvement. Further, parenting style may moderate the relationship between parental involvement and dropout, but not in all groups; only in authoritative families does parental involvement decrease the likelihood of school dropout. Furthermore, even after controlling for previous academic achievement, adolescents from authoritative families were less likely to drop out than adolescents from authoritarian and neglectful families. These findings emphasize the importance of encouraging quality parent-child relationships in order to reduce the likelihood of school dropout.

Electron dropout echoes induced by interplanetary shock: Van Allen Probes observations

International Nuclear Information System (INIS)

Hao, Y. X.; Zong, Q.-G.; Zhou, X.-Z.; Fu, S. Y.; Rankin, R.

2016-01-01

On 23 November 2012, a sudden dropout of the relativistic electron flux was observed after an interplanetary shock arrival. The dropout peaks at ~1 MeV and more than 80% of the electrons disappeared from the drift shell. Van Allen twin Probes observed a sharp electron flux dropout with clear energy dispersion signals. The repeating flux dropout and recovery signatures, or “dropout echoes”, constitute a new phenomenon referred to as a “drifting electron dropout” with a limited initial spatial range. The azimuthal range of the dropout is estimated to be on the duskside, from ~1300 to 0100 LT. We then conclude that the shock-induced electron dropout is not caused by the magnetopause shadowing. Furthermore, the dropout and consequent echoes suggest that the radial migration of relativistic electrons is induced by the strong dusk-dawn asymmetric interplanetary shock compression on the magnetosphere.

Socioeconomic differences in school dropout among young adults: the role of social relations.

Science.gov (United States)

Winding, Trine Nøhr; Andersen, Johan Hviid

2015-10-15

School dropout in adolescence is an important social determinant of health inequality in a lifetime perspective. It is commonly accepted that parental background factors are associated with later dropout, but to what extent social relations mediate this association is not yet fully understood. To investigate the effect of social relations on the association between parental socioeconomic position and school dropout in the Danish youth cohort Vestliv. This prospective study used data from questionnaires in 2004 and 2007 and register data in 2004 and 2010. The study population consisted of 3,054 persons born in 1989. Information on dropout was dichotomised into those who had completed a secondary education/were still attending one and those who had dropped out/had never attended a secondary education. Logistic regression analyses were used to investigate associations between parental socioeconomic position and dropout at age 21, taking into account effects of social relations at age 15 and 18. A large proportion of young people were having problems with social relations at age 15 and 18. In general, social relations were strongly related to not completing a secondary education, especially among girls. For instance, 18-year-old girls finding family conflicts difficult to handle had a 2.6-fold increased risk of not completing a secondary education. Young people from low socioeconomic position families had approximately a 3-fold higher risk of not completing a secondary education compared to young people from high position families, and the estimates did not change greatly after adjustment for social relations with family or friends. Poor relations with teachers and classmates at age 18 explained a substantial part of the association between income and dropout among both girls and boys. The study confirmed a social gradient in completion of secondary education. Despite the fact that poor social relations at age 15 and 18 were related to dropout at age 21, social

Baseline participant characteristics and risk for dropout from ten obesity randomized controlled trials: a pooled analysis of individual level data.

Science.gov (United States)

Kaiser, Kathryn A; Affuso, Olivia; Desmond, Renee; Allison, David B

Understanding participant demographic characteristics that inform the optimal design of obesity RCTs have been examined in few studies. The objective of this study was to investigate the association of individual participant characteristics and dropout rates (DORs) in obesity randomized controlled trials (RCT) by pooling data from several publicly available datasets for analyses. We comprehensively characterize DORs and patterns in obesity RCTs at the individual study level, and describe how such rates and patterns vary as a function of individual-level characteristics. We obtained and analyzed nine publicly-available, obesity RCT datasets that examined weight loss or weight gain prevention as a primary or secondary endpoint. Four risk factors for dropout were examined by Cox proportional hazards including sex, age, baseline BMI, and race/ethnicity. The individual study data were pooled in the final analyses with a random effect for study, and HR and 95% CIs were computed. Results of the multivariate analysis indicated that the risk of dropout was significantly higher for females compared to males (HR= 1.24, 95% CI = 1.05, 1.46). Hispanics and Non-Hispanic blacks had a significantly higher dropout rate compared to non-Hispanic whites (HR= 1.62, 95% CI = 1.37, 1.91; HR= 1.22, 95% CI = 1.11, 1.35, respectively). There was a significantly increased risk of dropout associated with advancing age (HR= 1.02, 95% CI = 1.01, 1.02) and increasing BMI (HR= 1.03, 95% CI = 1.03, 1.04). As more studies may focus on special populations, researchers designing obesity RCTs may wish to oversample in certain demographic groups if attempting to match comparison groups based on generalized estimates of expected dropout rates, or otherwise adjust a priori power estimates. Understanding true reasons for dropout may require additional methods of data gathering not generally employed in obesity RCTs, e.g. time on treatment.

Factors associated with HIV/AIDS treatment dropouts in a special care unit in the City of Rio de Janeiro, RJ, Brazil.

Science.gov (United States)

Schilkowsky, Louise Bastos; Portela, Margareth Crisóstomo; Sá, Marilene de Castilho

2011-06-01

This study aimed to identify factors associated with the health care of patients with HIV/AIDS who drop out. The study was developed in a specialized health care unit of a University hospital in Rio de Janeiro, Brazil, considering a stratified sample of adult patients including all dropout cases (155) and 44.0% of 790 cases under regular follow-up. Bivariate analyses were used to identify associations between health care dropout and demographic, socioeconomic and clinical variables. Logistic and Cox regression models were used to identify the independent effects of the explanatory variables on risk for dropout, in the latter by incorporating information on the outcome over time. Patients were, on average, 35 years old, predominantly males (66.4%) and of a low socioeconomic level (45.0%). In both models, health care dropout was consistently associated with being unemployed or having an unstable job, using illicit drugs and having psychiatric background--positive association; and with age, having AIDS, and having used multiple antiretroviral regimens--negative association. In the logistic regression, dropping out was also positively associated with time between diagnosis and the first outpatient visit, while in the Cox model, the hazard for dropping out was positively associated with being single, and negatively associated with a higher educational level. The results of this work allow for the identification of HIV/AIDS patients more likely to drop out from health care.

Dropout rates and factors associated with dropout from treatment among elderly patients attending the outpatient services of a tertiary care hospital.

Science.gov (United States)

Grover, Sandeep; Dua, Devakshi; Chakrabarti, Subho; Avasthi, Ajit

2018-01-01

This study aimed to evaluate the "dropout" rates from treatment and associated factors among elderly patients attending a tertiary care psychiatry outpatient facility. Data of 1422 patients aged ≥60 years, attending the walk-in clinic were evaluated. Out of 1422 patients, 406 (28.55%) belonged to the "dropout" group. In the "dropout" group, the age of patients was significantly higher than the followed-up group, and a higher proportion of patients were >70 years old. Significantly lower proportion of patients with diagnosis of depressive disorders belonged to the "dropout" group and significantly higher proportion of patients with "other" diagnoses belonged to the dropped out group. In patients with depressive disorders, a higher proportion of the patients in the "dropout" group were Hindu by religion (68.7% vs. 58.7%; χ 2 = 4.26; P = 0.03). In patients with bipolar disorder, patients in the "dropout" group had significantly higher income (Rs. 13,323 [standard deviation [SD] = 16,769] vs. 5681 [SD = 9422]; t -test value: 2-25; P = 0.028) and lesser proportion of patients were of the male gender (63.15 vs. 86.95%; Mann-Whitney U value = 257.5; P = 0.039). In the group of other diagnoses, a higher proportion of patients in the "dropout" group were currently single (32.3% vs. 18.7%; χ 2 = 4.12; P = 0.042), from rural locality (63.1% vs. 46.72%; χ 2 = 4.33; P = 0.037) and were not prescribed medications (40% vs. 22.4%; χ 2 = 6.05; P = 0.04). Dropout from treatment among elderly patients is associated with higher age, not being prescribed medications, and diagnosis other than the affective disorders, psychotic disorders, and the cognitive disorders.

Predicting secondary school dropout among South African ...

African Journals Online (AJOL)

... not living with one's mother, smoking cigarettes in the past month, and lower levels of leisure-related intrinsic motivation significantly predicted dropout. Results support comprehensive prevention programmes that target risk behaviour and leisure. Keywords: adolescence; leisure motivation; school dropout; substance use ...

Predictors of dropout from internet-based self-help cognitive behavioral therapy for insomnia.

Science.gov (United States)

Yeung, Wing-Fai; Chung, Ka-Fai; Ho, Fiona Yan-Yee; Ho, Lai-Ming

2015-10-01

Dropout from self-help cognitive-behavioral therapy for insomnia (CBT-I) potentially diminishes therapeutic effect and poses clinical concern. We analyzed the characteristics of subjects who did not complete a 6-week internet-based CBT-I program. Receiver operator characteristics (ROC) analysis was used to identify potential variables and cutoff for predicting dropout among 207 participants with self-report insomnia 3 or more nights per week for at least 3 months randomly assigned to self-help CBT-I with telephone support (n = 103) and self-help CBT-I (n = 104). Seventy-two participants (34.4%) did not complete all 6 sessions, while 42 of the 72 (56.9%) dropped out prior to the fourth session. Significant predictors of non-completion are total sleep time (TST) ≥ 6.82 h, Hospital Anxiety and Depression Scale depression score ≥ 9 and Insomnia Severity Index score dropout. Longer TST and less severe insomnia predict dropout in this study of self-help CBT-I, in contrast to shorter TST as a predictor in 2 studies of face-to-face CBT-I, while greater severity of depression predicts dropout in both this study and a study of face-to-face CBT-I. Strategies for minimizing dropout from internet-based CBT-I are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU data

Directory of Open Access Journals (Sweden)

Deslandes Emmanuelle

2010-07-01

Full Text Available Abstract Background Joint modeling of longitudinal and survival data has been increasingly considered in clinical trials, notably in cancer and AIDS. In critically ill patients admitted to an intensive care unit (ICU, such models also appear to be of interest in the investigation of the effect of treatment on severity scores due to the likely association between the longitudinal score and the dropout process, either caused by deaths or live discharges from the ICU. However, in this competing risk setting, only cause-specific hazard sub-models for the multiple failure types data have been used. Methods We propose a joint model that consists of a linear mixed effects submodel for the longitudinal outcome, and a proportional subdistribution hazards submodel for the competing risks survival data, linked together by latent random effects. We use Markov chain Monte Carlo technique of Gibbs sampling to estimate the joint posterior distribution of the unknown parameters of the model. The proposed method is studied and compared to joint model with cause-specific hazards submodel in simulations and applied to a data set that consisted of repeated measurements of severity score and time of discharge and death for 1,401 ICU patients. Results Time by treatment interaction was observed on the evolution of the mean SOFA score when ignoring potentially informative dropouts due to ICU deaths and live discharges from the ICU. In contrast, this was no longer significant when modeling the cause-specific hazards of informative dropouts. Such a time by treatment interaction persisted together with an evidence of treatment effect on the hazard of death when modeling dropout processes through the use of the Fine and Gray model for sub-distribution hazards. Conclusions In the joint modeling of competing risks with longitudinal response, differences in the handling of competing risk outcomes appear to translate into the estimated difference in treatment effect on the

Predictors of dropout from community clinic child CBT for anxiety disorders.

Science.gov (United States)

Wergeland, Gro Janne H; Fjermestad, Krister W; Marin, Carla E; Haugland, Bente Storm-Mowatt; Silverman, Wendy K; Öst, Lars-Göran; Havik, Odd E; Heiervang, Einar R

2015-04-01

The aim was to investigate predictors of treatment dropout among 182 children (aged 8-15 years) participating in an effectiveness trial of manual-based 10-session individual and group cognitive behavior therapy (CBT) for anxiety disorders in community clinics. The dropout rate was 14.4%, with no significant difference between the two treatment conditions. We examined predictors for overall dropout (n=26), early (≤session 4, n=15), and late dropout (≥session 5, n=11). Overall dropout was predicted by low child and parent rated treatment credibility, and high parent self-rated internalizing symptoms. Low child rated treatment credibility predicted both early and late dropout. High parent self-rated internalizing symptoms predicted early dropout, whereas low parent rated treatment credibility predicted late dropout. These results highlight the importance of addressing treatment credibility, and to offer support for parents with internalizing symptoms, to help children and families remain in treatment. Copyright © 2015 Elsevier Ltd. All rights reserved.

Early dropout predictive factors in obesity treatment.

Science.gov (United States)

Michelini, Ilaria; Falchi, Anna Giulia; Muggia, Chiara; Grecchi, Ilaria; Montagna, Elisabetta; De Silvestri, Annalisa; Tinelli, Carmine

2014-02-01

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

Stability Analysis of Networked Control Systems with Random Time Delays and Packet Dropouts Modeled by Markov Chains

Directory of Open Access Journals (Sweden)

Li Qiu

2013-01-01

unified Markov jump model. The random time delays and packet dropouts existed in feedback communication link are modeled by two independent Markov chains; the resulting closed-loop system is described by a new Markovian jump linear system (MJLS with Markov delays. Sufficient conditions of the stochastic stability for NCSs is obtained by constructing a novel Lyapunov functional, and the mode-dependent output feedback controller design method is presented based on linear matrix inequality (LMI technique. A numerical example is given to illustrate the effectiveness of the proposed method.

Selected determinants may account for dropout risks among medical students

DEFF Research Database (Denmark)

Mørcke, Anne Mette; O'Neill, Lotte; Kjeldsen, Inge Trads

2012-01-01

INTRODUCTION: The dropout level from the Danish medical schools is high, but we have only little insight into this problem. The purpose of this study was to qualify the ongoing discussions concerning dropout. MATERIAL AND METHODS: In this retrospective cohort study, relevant variables were...... extracted from the established database of Aarhus University for the 639 students initiating medicine studies between 1 January 1999 and 31December 2000. A multivariate pre-admission and post-admission model was examined. RESULTS: Of the 639 medical students, 20% dropped out. Most students dropped out...... during their first year. The type of admission exam was a strong predictor of dropout in the pre-admission model, whereas previous higher education protected against dropout. Obtaining leave was a very strong predictor of dropout in the post-admission model, whereas high grades protected against dropout...

Understanding Catalan University Dropout from a Comparative Approach

OpenAIRE

Rodríguez-Gómez, David; Feixas, Mònica; Gairín, Joaquín; Muñoz, José Luís

2012-01-01

Last decade yielded important research to understand the extent to which university dropout is having relevant consequences for higher education. The dropout rate has also been quantified and used as an indicator of performance (Dearing, 1996; Bricall, 2000; Rauret & Grifol, 2001; OECD, 2008; Mandelson, 2009). The aim of this paper is to offer an extensive perspective on how university dropout is being studied and faced in several contexts (America, Europe and, more concretely, Spain and Cata...

A meta-analysis of the effects of dropout prevention programs on school absenteeism.

Science.gov (United States)

Tanner-Smith, Emily E; Wilson, Sandra Jo

2013-10-01

This study reports findings from a systematic review and meta-analysis of literature examining the effects of school dropout prevention and intervention programs on students' school absenteeism outcomes. The meta-analysis synthesized 74 effect sizes measuring posttest differences in school absenteeism outcomes for youth enrolled in dropout prevention programs relative to a comparison group. Although results from randomized controlled trials indicated significant beneficial program effects, findings from quasi-experimental studies indicated no significant beneficial or detrimental effects. Examination of study characteristics suggested that dropout programs may have beneficial effects on school absenteeism among primarily male samples, and younger samples. Although no single type of intervention program was consistently more effective than others, vocational oriented and supplemental academic training programs showed some promise. However, the inconsistency in results and the possibility of small study bias mean the quality of evidence in this literature is low; at this time there is not enough evidence to conclude that dropout prevention programs have a universal impact on youth's school absenteeism outcomes.

Childhood Trauma and Psychiatric Disorders as Correlates of School Dropout in a National Sample of Young Adults

Science.gov (United States)

Porche, Michelle V.; Fortuna, Lisa R.; Lin, Julia; Alegria, Margarita

2010-01-01

The effect of childhood trauma, psychiatric diagnoses, and mental health services on school dropout among U.S. born and immigrant youth is examined using data from the Collaborative Psychiatric Epidemiology Surveys (CPES), a nationally representative probability sample of African Americans, Afro-Caribbeans, Asians, Latinos, and non-Latino Whites, including 2532 young adults, ages 21 to 29. The dropout prevalence rate was 16% overall, with variation by childhood trauma, childhood psychiatric diagnosis, race/ethnicity, and nativity. Childhood substance and conduct disorders mediated the relationship between trauma and school dropout. Likelihood of dropout was decreased for Asians, and increased for African Americans and Latinos, compared to non-Latino Whites as a function of psychiatric disorders and trauma. Timing of U.S. immigration during adolescence increased risk of dropout. PMID:21410919

Electron heat flux dropouts in the solar wind: Evidence for interplanetary magnetic field reconnection?

International Nuclear Information System (INIS)

McComas, D.J.; Gosling, J.T.; Phillips, J.L.; Bame, S.J.; Luhmann, J.G.; Smith, E.J.

1989-01-01

Electron heat flux dropout events have been observed in the solar wind using the ISEE 3 plasma electron data set. These events manifest themselves as dropouts of the solar wind halo electrons which are normally found streaming outward along the local magnetic field. These dropouts leave nearly isotropic distributions of solar wind halo electrons, and consequently, the heat flux in these events is reduced to near the observational noise level. We have examined ISEE 3 data from shortly after launch (August 16, 1978) through the end of 1978 and identified 25 such events ranging in duration from 20 min to over 11 hours. Comparison with the ISEE 3 magnetometer data indicates that these intervals nearly always occur in conjunction with large rotations of the interplanetary magnetic field. Statistical analyses of the plasma and magnetic field data for the 25 dropout intervals indicate that heat flux dropouts generally occur in association with high plasma densities low plasma velocities, low ion and electron temperatures, and low magnetic field magnitudes. A second set of 25 intervals chosen specifically to lie at large field rotations, but at times at which not heat flux dropouts were observed, do not show these characteristic plalsma variations. This suggests that the dropout intervals comprise a unique set of events. Since the hot halo electrons normally found streaming outward from the Sun along the interplanetary magnetic field (the solar wind electron heat flux) are a result of direct magnetic connection to the hot solar corona, heat flux dropout intervals may indicate that the spacecraft is sampling plasma regimes which are magnetically disconnected from the Sun and instead are connected to the outer heliosphere at both ends

The Causes of Dropout in Rural Primary Schools in Malawi

OpenAIRE

谷口, 京子

2017-01-01

High dropout rates is a critical issue in most of developing countries. Malawi follows this trend of student nonpersistence; in 2013, the primary school dropout rate was approximately 12.2%.This study aims to find the causes of dropout in rural Malawian primary schools. There are two features: data were collected through survival analysis, which has been used to study dropout in developed countries; a multilevel logistic regression was used to classify individual, family, teacher and school f...

Factors predicting dropout in student nursing assistants

DEFF Research Database (Denmark)

Svensson, Annemarie Lyng; Strøyer, Jesper; Ebbehøj, Niels Erik

2008-01-01

BACKGROUND: The dropout rate among student nursing assistants (NAs) in Danish health and social care education is high at >20%. AIMS: To explore if recent low back pain (LBP) history is a predictor of dropout among NA students, taking into account conventional risk factors for LBP, general health...

ACRES At-Risk Task Force: Dropout Survey.

Science.gov (United States)

Bull, Kay S.; And Others

This paper describes a study by the American Council on Rural Special Education (ACRES) to determine its membership's opinions on priorities and expertise regarding the dropout problem. ACRES members, primarily rural special-education teachers, parents, and collateral service workers, were surveyed about the dropout problem and what research they…

A meta-analysis of dropout rates in acceptance and commitment therapy.

Science.gov (United States)

Ong, Clarissa W; Lee, Eric B; Twohig, Michael P

2018-05-01

Many psychotherapies, including cognitive behavioral therapy and acceptance and commitment therapy (ACT), have been found to be effective interventions for a range of psychological and behavioral health concerns. Another aspect of treatment utility to consider is dropout, as interventions only work if clients are engaged in them. To date, no research has used meta-analytic methods to examine dropout in ACT. Thus, the objectives of the present meta-analysis were to (1) determine the aggregate dropout rate for ACT in randomized controlled trials, (2) compare dropout rates in ACT to those in other psychotherapies, and (3) identify potential moderators of dropout in ACT. Our literature search yielded 68 studies, representing 4,729 participants. The weighted mean dropout rates in ACT exclusive conditions and ACT inclusive conditions (i.e., those that included an ACT intervention) were 15.8% (95% CI: 11.9%, 20.1%) and 16.0% (95% CI: 12.5%, 19.8%), respectively. ACT dropout rates were not significantly different from those of established psychological treatments. In addition, dropout rates did not vary by client characteristics or study methodological quality. However, master's-level clinicians/therapists (weighted mean = 29.9%, CI: 17.6%, 43.8%) were associated with higher dropout than psychologists (weighted mean = 12.4%, 95% CI: 6.7%, 19.4%). More research on manipulable, process variables that influence dropout is needed. Copyright © 2018 Elsevier Ltd. All rights reserved.

Meta-analysis of Dropout in Treatments for Post-traumatic Stress Disorder

Science.gov (United States)

Imel, Zac E.; Laska, Kevin; Jakcupcak, Matthew; Simpson, Tracy L.

2013-01-01

Objective Many patients dropout of treatments for Post-traumatic stress disorder (PTSD) and some clinicians believe that ‘trauma focused’ treatments increase dropout. Method We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). Results The average dropout rate was 18%, but it varied significantly across studies. Group modality and greater number of sessions, but not trauma focus, predicted increased dropout. When the meta-analysis was restricted to direct comparisons of active treatments, there were no differences in dropout. Differences in trauma focus between treatments in the same study did not predict dropout. However, trauma focused treatments resulted in higher dropout as compared to Present Centered Therapy (PCT) – a treatment originally designed as a control, but now listed as a research supported intervention for PTSD. Conclusion Dropout varies between active interventions for PTSD across studies, but differences are primarily driven by differences between studies. There do not appear to be systematic differences across active interventions when they are directly compared in the same study. The degree of clinical attention placed on the traumatic event does not appear to be a primary cause of dropout from active treatments. However comparisons of PCT may be an exception to this general pattern, perhaps due to a restriction of variability in trauma focus among comparisons of active treatments. More research is needed comparing trauma focused interventions to trauma avoidant treatments such as PCT. PMID:23339535

Valued Youth Anthology: Articles on Dropout Prevention.

Science.gov (United States)

Intercultural Development Research Association, San Antonio, TX.

This document contains, in chronological order, all articles related to dropouts that have appeared in the Intercultural Development Research Association (IDRA) Newsletter from 1986 to 1989. The articles are: (1) "The Prevention and Recovery of Dropouts: An Action Agenda" (Robledo); (2) "Coca Cola Valued Youth Partnership Program Results of Second…

Child Psychotherapy Dropout: An Empirical Research Review

Science.gov (United States)

Deakin, Elisabeth; Gastaud, Marina; Nunes, Maria Lucia Tiellet

2012-01-01

This study aims to discuss the most recent data about child psychotherapy dropout, especially child psychoanalytical psychotherapy. The authors also try to offer some possible alternatives to prevent such a phenomenon. The definition of "child psychotherapy dropout" is extensively discussed. The goal has been to attempt to create a standardised…

The effects of the bologna process on college enrollment and drop-out rates

OpenAIRE

Horstschräer, Julia; Sprietsma, Maresa

2010-01-01

This paper estimates the short-term effects of the introduction of the Bachelor degree in the framework of the Bologna Process on college enrollment and drop-out rates. We use variation in the timing of the Bachelor implementation at the department level to identify the effect of the reform based on longitudinal administrative student data from Germany. We find no significant effects on college enrollment or drop-out rates for most subjects.

When and Why Dropouts Leave High School

Science.gov (United States)

Stearns, Elizabeth; Glennie, Elizabeth J.

2006-01-01

Teens may leave school because of academic failure, disciplinary problems, or employment opportunities. In this article, the authors test whether the reasons dropouts leave school differ by grade level and age. We compare dropout rates and reasons across grade levels and ages for all high school students, ethnic groups, and gender groups. Across…

Risk Factors for School Dropout in a Sample of Juvenile Offenders.

Science.gov (United States)

Fernández-Suárez, Asunción; Herrero, Juan; Pérez, Beatriz; Juarros-Basterretxea, Joel; Rodríguez-Díaz, Francisco J

2016-01-01

Backgrounds: The high rates of school dropout worldwide and their relevance highlight the need for a close study of its causes and consequences. Literature has suggested that school dropout might be explained by multiple causes at different levels (individual, family, school, and neighborhood). The aim of the current study is to examine the relation between individual (defiant attitude, irresponsibility, alcohol abuse, and illegal drugs use), family (educational figure absent and parental monitoring), school factors (truancy and school conflict) and school dropout. Method: Judicial files of all juvenile offenders (218 males and 46 females) with a judicial penal measure in Asturias (Spain) in the year 2012 were examined. Multivariate logistic regression analyses were performed to estimate the relationships between school dropout and individual, family and school variables. Results: As for the individual characteristics, results showed that school dropouts were more irresponsible than non-dropouts. Also they had higher rates of illegal drug use and alcohol abuse. Moreover, lack of parental monitoring emerged as a key predictive factor of school dropout, beyond the type of family structure in terms of the presence of both or only one educational figure. Finally, school factors did not show a significant relationship to school dropout. Conclusions : These findings indicate that school dropout is a multidimensional process. School and family policies that emphasize the role of parental monitoring and prevent alcohol and substance abuse are recommended.

Risk Factors for School Dropout in a Sample of Juvenile Offenders

Science.gov (United States)

Fernández-Suárez, Asunción; Herrero, Juan; Pérez, Beatriz; Juarros-Basterretxea, Joel; Rodríguez-Díaz, Francisco J.

2016-01-01

Backgrounds: The high rates of school dropout worldwide and their relevance highlight the need for a close study of its causes and consequences. Literature has suggested that school dropout might be explained by multiple causes at different levels (individual, family, school, and neighborhood). The aim of the current study is to examine the relation between individual (defiant attitude, irresponsibility, alcohol abuse, and illegal drugs use), family (educational figure absent and parental monitoring), school factors (truancy and school conflict) and school dropout. Method: Judicial files of all juvenile offenders (218 males and 46 females) with a judicial penal measure in Asturias (Spain) in the year 2012 were examined. Multivariate logistic regression analyses were performed to estimate the relationships between school dropout and individual, family and school variables. Results: As for the individual characteristics, results showed that school dropouts were more irresponsible than non-dropouts. Also they had higher rates of illegal drug use and alcohol abuse. Moreover, lack of parental monitoring emerged as a key predictive factor of school dropout, beyond the type of family structure in terms of the presence of both or only one educational figure. Finally, school factors did not show a significant relationship to school dropout. Conclusions: These findings indicate that school dropout is a multidimensional process. School and family policies that emphasize the role of parental monitoring and prevent alcohol and substance abuse are recommended. PMID:28082934

Influence analysis to assess sensitivity of the dropout process

OpenAIRE

Molenberghs, Geert; Verbeke, Geert; Thijs, Herbert; Lesaffre, Emmanuel; Kenward, Michael

2001-01-01

Diggle and Kenward (Appl. Statist. 43 (1994) 49) proposed a selection model for continuous longitudinal data subject to possible non-random dropout. It has provoked a large debate about the role for such models. The original enthusiasm was followed by skepticism about the strong but untestable assumption upon which this type of models invariably rests. Since then, the view has emerged that these models should ideally be made part of a sensitivity analysis. One of their examples is a set of da...

Service-Learning. National Dropout Prevention Center/Network Newsletter. Volume 22, Number 4

Science.gov (United States)

Duckenfield, Marty, Ed.

2011-01-01

The "National Dropout Prevention Newsletter" is published quarterly by the National Dropout Prevention Center/Network. This issue contains the following articles: (1) Dropouts and Democracy (Robert Shumer); (2) 2011 NDPN Crystal Star Winners; (3) Service-Learning as Dropout Intervention and More (Michael VanKeulen); and (4) Teacher…

Meta-Analysis of Dropout in Treatments for Posttraumatic Stress Disorder

Science.gov (United States)

Imel, Zac E.; Laska, Kevin; Jakupcak, Matthew; Simpson, Tracy L.

2013-01-01

Objective: Many patients drop out of treatments for posttraumatic stress disorder (PTSD); some clinicians believe that trauma-focused treatments increase dropout. Method: We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). Results: The average dropout rate was 18%, but it…

Revisiting Primary School Dropout in Rural Cambodia

Science.gov (United States)

No, Fata; Sam, Chanphirun; Hirakawa, Yukiko

2012-01-01

Previous studies on school dropout in Cambodia often used data from subjects after they already dropped out or statistics from education-related institutions. Using data from children in two rural provinces before they dropped out, this study examines four main factors in order to identify their influence on primary school dropout in Cambodia.…

Time-delay analyzer with continuous discretization

International Nuclear Information System (INIS)

Bayatyan, G.L.; Darbinyan, K.T.; Mkrtchyan, K.K.; Stepanyan, S.S.

1988-01-01

A time-delay analyzer is described which when triggered by a start pulse of adjustable duration performs continuous discretization of the analyzed signal within nearly 22 ns time intervals, the recording in a memory unit with following slow read-out of the information to the computer and its processing. The time-delay analyzer consists of four CAMAC-VECTOR systems of unit width. With its help one can separate comparatively short, small-amplitude rare signals against the background of quasistationary noise processes. 4 refs.; 3 figs

Incorporating Allelic Dropout

Czech Academy of Sciences Publication Activity Database

Slovák, Dalibor

2014-01-01

Roč. 2, č. 1 (2014), s. 31-33 ISSN 1805-8698 Grant - others:SVV(CZ) 260034 Institutional support: RVO:67985807 Keywords : drop-out * peak height * DNA interpretation Subject RIV: IN - Informatics, Computer Science http://www.ijbh.org/ijbh2014-1.pdf

Influence of mental disorders on school dropout in Mexico.

Science.gov (United States)

Borges, Guilherme; Medina Mora-Icaza, María Elena; Benjet, Corina; Lee, Sing; Lane, Michael; Breslau, Joshua

2011-11-01

To study the impact of mental disorders on failure in educational attainment in Mexico. Diagnoses and age of onset for each of 16 DSM-IV disorders were assessed through retrospective self-reports with the Composite International Diagnostic Instrument (CIDI) during fieldwork in 2001-2002. Survival analysis was used to examine associations between early onset DSM-IV/CIDI disorders and subsequent school dropout or failure to reach educational milestones. More than one of two Mexicans did not complete secondary education. More than one-third of those who finished secondary education did not enter college, and one of four students who entered college did not graduate. Impulse control disorders and substance use disorders were associated with higher risk for school dropout, secondary school dropout and to a lesser degree failure to enter college. Anxiety disorders were associated with lower risk for school dropout, especially secondary school dropout and, to a lesser degree, primary school dropout. The heterogeneity of results found in Mexico may be due to the effect of mental disorders being diminished or masked by the much greater effect of economic hardship and low cultural expectations for educational achievement. Future research should inquire deeper into possible reasons for the better performance of students with anxiety disorders in developing countries.

From discrete-time models to continuous-time, asynchronous modeling of financial markets

NARCIS (Netherlands)

Boer, Katalin; Kaymak, Uzay; Spiering, Jaap

2007-01-01

Most agent-based simulation models of financial markets are discrete-time in nature. In this paper, we investigate to what degree such models are extensible to continuous-time, asynchronous modeling of financial markets. We study the behavior of a learning market maker in a market with information

Psychological well-being as a predictor of dropout among recently qualified Danish eldercare workers.

Science.gov (United States)

Giver, Hanne; Faber, Anne; Hannerz, Harald; Strøyer, Jesper; Rugulies, Reiner

2010-05-01

The eldercare sector is characterized by a shortage of labour and a high turnover rate, which constitutes a major challenge for the ageing societies of western Europe. The aim of the present study was to investigate if a low level of psychological well-being at the time of graduation predicts dropout among eldercare workers two years later. We included 4,968 female eldercare trainees in this prospective study, recruited from 27 of the 28 Danish colleges for eldercare. Psychological well-being in 2004 was measured with the five-item Mental Health Inventory (MHI-5) of the 36-item Short-Form Health Survey (SF-36). We linked the survey data with national register data to obtain information about labour market attachment two years after qualification. In 2006, 37% of all participants had left the eldercare sector. Compared to participants with high psychological well-being at baseline, participants with medium and low psychological well-being were more likely to dropout to sectors unrelated to health and welfare (odds ratio (OR) 1.40 (95% confidence interval (95% CI) = 1.06-1.85) and 1.66 (95% CI = 1.27-2.19), respectively). They were also more likely to drop out of the labour market (OR 1.48 (95% CI = 1.08-2.04) and 1.60 (95% CI = 1.12-2.20), respectively). Psychological well-being was not related to dropout to other health- and welfare sectors or dropout to further education. The fact that more than one third of all participants had left the eldercare sector two years after qualification demonstrates the importance of retention initiatives early in working life. In addition a focus on psychological well-being among eldercare workers should be considered.

Hidden School Dropout among Immigrant Students: A Cross-Sectional Study

Science.gov (United States)

Makarova, Elena; Herzog, Walter

2013-01-01

Actual school dropout among immigrant youth has been addressed in a number of studies, but research on hidden school dropout among immigrant students is rare. Thus, the objective of this paper is to analyze hidden school dropout among primary school students with an immigrant background. The analyses were performed using survey data of 1186…

A review of mental health treatment dropout by ethnic minority youth.

Science.gov (United States)

de Haan, Anna M; Boon, Albert E; de Jong, Joop T V M; Vermeiren, Robert R J M

2018-02-01

A large proportion of treatments in youth mental health care are prematurely terminated by the patient. Treatment dropout can have severe consequences. Since ethnic minority youth are treated less often for mental disorders than other youth, it is important to analyse their risk for dropout and to determine if there are ethnicity-specific determinants. This review aimed to provide an overview of the findings from empirical studies on child and adolescent therapy dropout by ethnic minority and to determine if there were ethnicity-specific dropout determinants. An extensive literature search was performed to locate relevant journal articles. Identified articles were inspected for relevant references and these articles were then included in the meta-analysis. A total of 27 studies were accepted for analysis. The results showed that ethnic minority patients have a higher risk of treatment dropout than ethnic majority patients and that dropout rates are ethnically specific. Several differences in dropout predictors among the ethnic groups were found. In spite of diverse results, review limitations, and the lack of several key variables in the available research, some clinical recommendations are made. The review indicates that to prevent dropout, therapists should pay attention to variables such as ethnic background, therapist-patient ethnic match, and the quality of the therapeutic relationship.

High School Dropouts: Implications in the Economic Development of West Virginia. Research Paper 9909.

Science.gov (United States)

De Sousa, Semoa C. B.; Gebremedhin, Tesfa

Despite increased government investments in education, West Virginia continues to have one of the nation's highest high school dropout rates and is among the states with the highest unemployment rates. Human capital theory provides the conceptual basis for evaluating the relationship between investment in education and economic development. An…

Socioeconomic differences in school dropout among young adults

DEFF Research Database (Denmark)

Winding, Trine Nøhr; Andersen, Johan Hviid

2015-01-01

Background School dropout in adolescence is an important social determinant of health inequality in a lifetime perspective. It is commonly accepted that parental background factors are associated with later dropout, but to what extent social relations mediate this association is not yet fully...

Treatment dropout in web-based cognitive behavioral therapy for patients with eating disorders.

Science.gov (United States)

Ter Huurne, Elke D; Postel, Marloes G; de Haan, Hein A; van der Palen, Job; DeJong, Cor A J

2017-01-01

Treatment dropout is an important concern in eating disorder treatments as it has negative implications for patients' outcome, clinicians' motivation, and research studies. Our main objective was to conduct an exploratory study on treatment dropout in a two-part web-based cognitive behavioral therapy with asynchronous therapeutic support. The analysis included 205 female patients with eating disorders. Reasons for dropout, treatment experiences, and predictors of dropout were analyzed. Overall treatment dropout was 37.6%, with 18.5% early dropout (before or during treatment part 1) and 19.0% late dropout (after part 1 or during part 2). Almost half of the participants identified personal circumstances as reason for dropout. The other participants mostly reported reasons related to the online delivery or treatment protocol. Predictors of early dropout included reporting less vigor and smoking at baseline and a longer average duration per completed treatment module of part 1. Late dropout was predicted by reporting less vigor at baseline and uncertainty about recommendation of the treatment to others after completion of treatment part 1. Generally, the web-based treatment and online therapeutic support were evaluated positively, although dropouts rated the treatment as significantly less helpful and effective than completers did. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Exploring the Effects of Financial Aid on the Gap in Student Dropout Risks by Income Level

Science.gov (United States)

Chen, Rong; DesJardins, Stephen L.

2008-01-01

Using national survey data and discrete-time logit modeling, this research seeks to understand whether student aid mediates the relationship between parental income and student dropout behavior. Our analysis confirms that there is a gap in dropout rates for low-income students compared with their upper income peers, and suggests that some types of…

Tracking Drop-out Students in Palestinian Refugee Camps in Lebanon

Science.gov (United States)

Al-Hroub, Anies

2015-01-01

This research paper examines the perceptions of students on the school drop-out problem in Palestinian refugee camps in Lebanon regarding (a) the social and economic causes associated with the phenomenon of school drop-out; (b) the educational policies and practices used in UNRWA schools and their relationship to student drop-out; and (c) the role…

Baseline participant characteristics and risk for dropout from ten obesity randomized controlled trials: a pooled analysis of individual level data

Directory of Open Access Journals (Sweden)

Kathryn Ann Kaiser

2014-12-01

Full Text Available Introduction: Understanding participant demographic characteristics that inform the optimal design of obesity RCTs have been examined in few studies. The objective of this study was to investigate the association of individual participant characteristics and dropout rates (DORs in obesity randomized controlled trials (RCT by pooling data from several publicly available datasets for analyses. We comprehensively characterize DORs and patterns in obesity RCTs at the individual study level, and describe how such rates and patterns vary as a function of individual-level characteristics. Methods: We obtained and analyzed nine publicly-available, obesity RCT datasets that examined weight loss or weight gain prevention as a primary or secondary endpoint. Four risk factors for dropout were examined by Cox proportional hazards including sex, age, baseline BMI, and race/ethnicity. The individual study data were pooled in the final analyses with a random effect for study, and HR and 95% CIs were computed. Results: Results of the multivariate analysis indicated that the risk of dropout was significantly higher for females compared to males (HR= 1.24, 95% CI = 1.05, 1.46. Hispanics and Non-Hispanic blacks had a significantly higher dropout rate compared to non-Hispanic whites (HR= 1.62, 95% CI = 1.37, 1.91; HR= 1.22, 95% CI = 1.11, 1.35, respectively. There was a significantly increased risk of dropout associated with advancing age (HR= 1.02, 95% CI = 1.01, 1.02 and increasing BMI (HR= 1.03, 95% CI = 1.03, 1.04. Conclusion/Significance: As more studies may focus on special populations, researchers designing obesity RCTs may wish to oversample in certain demographic groups if attempting to match comparison groups based on generalized estimates of expected dropout rates, or otherwise adjust a priori power estimates. Understanding true reasons for dropout may require additional methods of data gathering not generally employed in obesity RCTs, e.g. time on

Dropout in VET – institutional selection and social exclusion

DEFF Research Database (Denmark)

Jørgensen, Christian Helms

Dropout – institutional selection and social exclusion For the last ten years dropout of vocational education has increased strongly in Denmark. The questions addressed in this paper are why and how dropout in VET takes place. The objective is to provide more detailed and qualified knowledge...... of the complex processes of dropping out. The present study is part of a large national research project on retention in VET. The paper aims to understand dropout as a result of the interplay of students’ agentic actions and social interactions and the opportunities for participation afforded by the colleges...... area, sub-cultural style, etc. It is shown how the students, through the interplay of institutional selection and social in- and exclusion, pass through different trajectories of participation in the programmes....

Risk Psychosocial Factors to School Dropout and Early Teenage Pregnancy

Directory of Open Access Journals (Sweden)

Fabián Antonio Dávila Ramírez

2016-01-01

Full Text Available To explore the frequency and weight that psychosocial risk factors predispose to outcomes of early pregnancy and scholar dropout, a descriptive review was conducted. Materials and Meth­ods: A search and review of the results reported by observational studies in the PubMed data­base indexed from July 27, 2010 until July 25, 2013 was performed, restricting the search to studies in humans, Spanish or English written, not made in countries in Africa or Asia. Search was widened to LILACS database for the years 2006 to 2013 for Latinamerican countries. For inclusion, all case-control studies comparing different types of interventions and psychosocial risk factors in adolescents were eligible. Results: The review suggests violence experienced dur­ing adolescence, sexual abuse, belonging to a low socioeconomic status, low self-esteem, eating behavior disorders, smoking, alcoholism and drug addiction, mental disorders, early initiation of sex, poor family ties, lack of access to information, and resources for family planning as main psychosocial factors related to early pregnancy and scholar dropout in adolescents. Conclusions: Both risk factors associated with pregnancy and scholar dropout were described, and interven­tions targeting the described risk factors could potentially contribute to the reduction of these outcomes were described.

Deliberate practice predicts performance over time in adolescent chess players and drop-outs: a linear mixed models analysis.

Science.gov (United States)

de Bruin, Anique B H; Smits, Niels; Rikers, Remy M J P; Schmidt, Henk G

2008-11-01

In this study, the longitudinal relation between deliberate practice and performance in chess was examined using a linear mixed models analysis. The practice activities and performance ratings of young elite chess players, who were either in, or had dropped out of the Dutch national chess training, were analysed since they had started playing chess seriously. The results revealed that deliberate practice (i.e. serious chess study alone and serious chess play) strongly contributed to chess performance. The influence of deliberate practice was not only observable in current performance, but also over chess players' careers. Moreover, although the drop-outs' chess ratings developed more slowly over time, both the persistent and drop-out chess players benefited to the same extent from investments in deliberate practice. Finally, the effect of gender on chess performance proved to be much smaller than the effect of deliberate practice. This study provides longitudinal support for the monotonic benefits assumption of deliberate practice, by showing that over chess players' careers, deliberate practice has a significant effect on performance, and to the same extent for chess players of different ultimate performance levels. The results of this study are not in line with critique raised against the deliberate practice theory that the factors deliberate practice and talent could be confounded.

So Close, yet So Far Away: Early vs. Late Dropouts

Science.gov (United States)

Ma, Yanli; Cragg, Kristina M.

2013-01-01

While some students drop out early in their academic career, others drop out close to completion. What similarities and differences exist between these early and late dropouts? Using a sample 3,520 first-time, full-time (FTFT) students seeking a bachelor's degree at a state university, this study employs multinomial logistic regression to model…

Networked Estimation for Event-Based Sampling Systems with Packet Dropouts

Directory of Open Access Journals (Sweden)

Young Soo Suh

2009-04-01

Full Text Available This paper is concerned with a networked estimation problem in which sensor data are transmitted over the network. In the event-based sampling scheme known as level-crossing or send-on-delta (SOD, sensor data are transmitted to the estimator node if the difference between the current sensor value and the last transmitted one is greater than a given threshold. Event-based sampling has been shown to be more efficient than the time-triggered one in some situations, especially in network bandwidth improvement. However, it cannot detect packet dropout situations because data transmission and reception do not use a periodical time-stamp mechanism as found in time-triggered sampling systems. Motivated by this issue, we propose a modified event-based sampling scheme called modified SOD in which sensor data are sent when either the change of sensor output exceeds a given threshold or the time elapses more than a given interval. Through simulation results, we show that the proposed modified SOD sampling significantly improves estimation performance when packet dropouts happen.

Demand- and supply-side determinants of diphtheria-pertussis-tetanus nonvaccination and dropout in rural India.

Science.gov (United States)

Ghosh, Arpita; Laxminarayan, Ramanan

2017-02-15

Although 93% of 12- to 23-month-old children in India receive at least one vaccine, typically Bacillus Calmette-Guérin, only 75% complete the recommended three doses of diphtheria-pertussis-tetanus (DPT, also referred to as DTP) vaccine. Determinants can be different for nonvaccination and dropout but have not been examined in earlier studies. We use the three-dose DPT series as a proxy for the full sequence of recommended childhood vaccines and examine the determinants of DPT nonvaccination and dropout between doses 1 and 3. We analyzed data on 75,728 6- to 23-month-old children in villages across India to study demand- and supply-side factors determining nonvaccination with DPT and dropout between DPT doses 1 and 3, using a multilevel approach. Data come from the District Level Household and Facility Survey 3 (2007-08). Individual- and household-level factors were associated with both DPT nonvaccination and dropout between doses 1 and 3. Children whose mothers had no schooling were 2.3 times more likely not to receive any DPT vaccination and 1.5 times more likely to drop out between DPT doses 1 and 3, compared with children whose mothers had 10 or more years of schooling. Although supply-side factors related to availability of public health facilities and immunization-related health workers in villages were not correlated with dropout between DPT doses 1 and 3, children in districts where 46% or more villages had a healthcare subcentre were 1.5 times more likely to receive at least one dose of DPT vaccine compared with children in districts where 30% or fewer villages had subcentres. Nonvaccination with DPT in India is influenced by village- and district-level contextual factors over and above individuals' background characteristics. Dropout between DPT doses 1 and 3 is associated more strongly with demand-side factors than with village- and district-level supply-side factors. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

An Overdensity of i-Dropouts among a Population of Excess Field Objects in the Virgo Cluster

Science.gov (United States)

Yan, Haojing; Hathi, Nimish P.; Windhorst, Rogier A.

2008-03-01

Using a set of deep imaging data obtained by the Advanced Camera for Surveys (ACS) on the Hubble Space Telescope (HST) shortly after its deployment, Yan, Windhorst, & Cohen found a large number of F775W-band dropouts (i-dropouts), which are consistent with being galaxies at z ≈ 6. The surface density of i-dropouts thus derived, however, is an order of magnitude higher than those subsequent studies found in other deep ACS fields, including the Hubble Ultra Deep Field (HUDF). Here we revisit this problem, using both existing and new data. We confirm that the large overdensity of i-dropouts does exist in this field, and that their optical-to-IR colors are similar to those in the HUDF. However, we have discovered that the i-dropout overdensity is accompanied by an even larger excess of faint field objects in this region and its vicinity. This large excess of field objects is most likely caused by the fact that we have resolved the faint diffuse light extending from an interacting galaxy pair in the Virgo Cluster, M60/NGC 4647, which lies several arcminutes away from the region where the excess is found. The i-dropouts in this field are within the magnitude range where this excess of field objects occurs, and their spatial distribution seems to follow the same gradient as the entire excess field population. This excess population is also red in color, and the red wing of its color distribution continuously extends to the regime where the i-dropouts reside. While we still cannot completely rule out the possibility that the overdensity of i-dropouts might be a genuine large-scale structure of galaxies at z ≈ 6, we prefer the interpretation that most of them are part of the excess stellar population related to M60/NGC 4647. Based on observations made with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. These

Continuous-variable quantum information processing

DEFF Research Database (Denmark)

Andersen, Ulrik Lund; Leuchs, G.; Silberhorn, C.

2010-01-01

the continuous degree of freedom of a quantum system for encoding, processing or detecting information, one enters the field of continuous-variable (CV) quantum information processing. In this paper we review the basic principles of CV quantum information processing with main focus on recent developments...... in the field. We will be addressing the three main stages of a quantum information system; the preparation stage where quantum information is encoded into CVs of coherent states and single-photon states, the processing stage where CV information is manipulated to carry out a specified protocol and a detection...... stage where CV information is measured using homodyne detection or photon counting....

Authoritative school climate and high school dropout rates.

Science.gov (United States)

Jia, Yuane; Konold, Timothy R; Cornell, Dewey

2016-06-01

This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high school dropout rates. Analyses controlled for school demographics of school enrollment size, percentage of low-income students, percentage of minority students, and urbanicity. Consistent with authoritative school climate theory, moderation analyses found that when students perceive their teachers as supportive, high academic expectations are associated with lower dropout rates. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Continuous Time Structural Equation Modeling with R Package ctsem

Directory of Open Access Journals (Sweden)

Charles C. Driver

2017-04-01

Full Text Available We introduce ctsem, an R package for continuous time structural equation modeling of panel (N > 1 and time series (N = 1 data, using full information maximum likelihood. Most dynamic models (e.g., cross-lagged panel models in the social and behavioural sciences are discrete time models. An assumption of discrete time models is that time intervals between measurements are equal, and that all subjects were assessed at the same intervals. Violations of this assumption are often ignored due to the difficulty of accounting for varying time intervals, therefore parameter estimates can be biased and the time course of effects becomes ambiguous. By using stochastic differential equations to estimate an underlying continuous process, continuous time models allow for any pattern of measurement occasions. By interfacing to OpenMx, ctsem combines the flexible specification of structural equation models with the enhanced data gathering opportunities and improved estimation of continuous time models. ctsem can estimate relationships over time for multiple latent processes, measured by multiple noisy indicators with varying time intervals between observations. Within and between effects are estimated simultaneously by modeling both observed covariates and unobserved heterogeneity. Exogenous shocks with different shapes, group differences, higher order diffusion effects and oscillating processes can all be simply modeled. We first introduce and define continuous time models, then show how to specify and estimate a range of continuous time models using ctsem.

Factors associated with dropout in a long term observational cohort of fishing communities around lake Victoria, Uganda.

Science.gov (United States)

Abaasa, Andrew; Asiki, Gershim; Mpendo, Juliet; Levin, Jonathan; Seeley, Janet; Nielsen, Leslie; Ssetaala, Ali; Nanvubya, Annet; De Bont, Jan; Kaleebu, Pontiano; Kamali, Anatoli

2015-12-24

Fishing communities are potentially suitable for Human immunodeficiency virus (HIV) efficacy trials due to their high risk profile. However, high mobility and attrition could decrease statistical power to detect the impact of a given intervention. We report dropout and associated factors in a fisher-folk observational cohort in Uganda. Human immunodeficiency virus-uninfected high-risk volunteers aged 13-49 years living in five fishing communities around Lake Victoria were enrolled and followed every 6 months for 18 months at clinics located within each community. Volunteers from two of the five communities had their follow-up periods extended to 30 months and were invited to attend clinics 10-40 km (km) away from their communities. Human immunodeficiency virus counseling and testing was provided, and data on sexual behaviour collected at all study visits. Study completion was defined as completion of 18 or 30 months or visits up to the date of sero-conversion and dropout as missing one or more visits. Discrete time survival models were fitted to find factors independently associated with dropout. A total of 1000 volunteers (55% men) were enrolled. Of these, 91.9% completed 6 months, 85.2% completed 12 months and 76.0% completed 18 months of follow-up. In the two communities with additional follow-up, 76.9% completed 30 months. In total 299 (29.9%) volunteers missed at least one visit (dropped out). Dropout was independently associated with age (volunteers aged 13-24 being most likely to dropout), gender [men being more likely to dropout than women [adjusted hazard ratio (aHR) 1.4; 95% confidence interval (CI) 1.1-1.8)], time spent in the fishing community (those who stayed dropout), History of marijuana use (users being more likely to dropout than non-users [1.7; (1.2-2.5)], ethnicity (non-Baganda being more likely to dropout than Baganda [1.5; (1.2-1.9)], dropout varied between the five fishing communities, having a new sexual partner in the previous 3 months [1

Selected determinants may account for dropout risks among medical students.

Science.gov (United States)

Mørcke, Anne Mette; O'Neill, Lotte; Kjeldsen, Inge Trads; Eika, Berit

2012-09-01

The dropout level from the Danish medical schools is high, but we have only little insight into this problem. The purpose of this study was to qualify the ongoing discussions concerning dropout. In this retrospective cohort study, relevant variables were extracted from the established database of Aarhus University for the 639 students initiating medicine studies between 1 January 1999 and 31 December 2000. A multivariate pre-admission and post-admission model was examined. Of the 639 medical students, 20% dropped out. Most students dropped out during their first year. The type of admission exam was a strong predictor of dropout in the pre-admission model, whereas previous higher education protected against dropout. Obtaining leave was a very strong predictor of dropout in the post-admission model, whereas high grades protected against dropout. The dropout rate has been decreasing during the past decade. Young people considering studying medicine could be advised to choose natural science subjects in high school, and a number of research questions concerning preparedness for medical school are worth pursuing. Leave or very low grades during the first and second study years might serve as red flags to supervisors. Study research was funded by Aarhus University. Not relevant, register-based research with no biological human material cannot be notified to the Danish Committee System. The Danish Data Protection Agency allows schools to conduct anonymized, non-sensitive, educational analyses without notification.

Locating the Dropout Crisis. Which High Schools Produce the Nation's Dropouts? Where Are They Located? Who Attends Them? Report 70

Science.gov (United States)

Balfanz, Robert; Legters, Nettie

2004-01-01

The purpose of this report was to locate the dropout crisis- to determine its scale and scope by identifying the number of high schools with severe dropout problems, detailing the states, cities, and locales where they are concentrated, and establishing who attends them. For this analysis of high schools across the country, two cut-points were…

Determinants of High-School Dropout: A Longitudinal Study in a Deprived Area of Japan.

Science.gov (United States)

Tabuchi, Takahiro; Fujihara, Sho; Shinozaki, Tomohiro; Fukuhara, Hiroyuki

2018-05-19

Our objective in this study was to find determinants of high-school dropout in a deprived area of Japan using longitudinal data, including socio-demographic and junior high school-period information. We followed 695 students who graduated the junior high school located in a deprived area of Japan between 2002 and 2010 for 3 years after graduation (614 students: follow-up rate, 88.3%). Multivariable log-binomial regression models were used to calculate the prevalence ratios (PRs) for high-school dropout, using multiple imputation (MI) to account for non-response at follow-up. The MI model estimated that 18.7% of students dropped out of high school in approximately 3 years. In the covariates-adjusted model, three factors were significantly associated with high-school dropout: ≥10 days of tardy arrival in junior high school (PR 6.44; 95% confidence interval [CI], 1.69-24.6 for "10-29 days of tardy arrival" and PR 8.01; 95% CI, 2.05-31.3 for "≥30 days of tardy arrival" compared with "0 day of tardy arrival"), daily smoking (PR 2.01; 95% CI, 1.41-2.86) and severe problems, such as abuse and neglect (PR 1.66; 95% CI, 1.16-2.39). Among students with ≥30 days of tardy arrival in addition to daily smoking or experience of severe problems, ≥50% high-school dropout rates were observed. Three determinants of high-school dropout were found: smoking, tardy arrival, and experience of severe problems. These factors were correlated and should be treated as warning signs of complex behavioral and academic problems. Parents, educators, and policy makers should work together to implement effective strategies to prevent school dropout.

Patterns and Factors of High School Dropout Risks of Racial and Linguistic Groups

Science.gov (United States)

Kim, Sunha; Chang, Mido; Singh, Kusum; Allen, Katherine R.

2015-01-01

This study examined the dropout trajectories of racial and linguistic minority students and explored the effects of students' contextual factors on their high school dropout risks. Our motivation was to identify the dropout patterns of Black, Hispanic, and Hispanic English language learner (ELL) students, who have comparatively high dropout rates,…

Tenth Grade Dropout Rates by Native Language, Race/Ethnicity, and Socioeconomic Status

OpenAIRE

Rumberger, Russell W.

2006-01-01

One of the most important indicators of educational performance is the high school dropout rate. Reducing dropout rates and improving high school graduation rates are important goals for both educators and policymakers. Yet there is a great deal of controversy about how best to measure dropout and graduation rates. This issue of EL Facts provides estimates of dropout rates for language minority students, racial and ethnic groups, and socioeconomic groups.

School Dropouts in Perspective.

Science.gov (United States)

Sherraden, Michael W.

1986-01-01

Discusses aspects of the school dropout problem: figures and trends, related youth problems (unemployment, crime and vandalism, drug and alcohol abuse, political alienation, teen pregnancy and childbirth, homicide and suicide), and suggestions for solving the problem. (CT)

SIMULATIONS OF LATERAL TRANSPORT AND DROPOUT STRUCTURE OF ENERGETIC PARTICLES FROM IMPULSIVE SOLAR FLARES

Energy Technology Data Exchange (ETDEWEB)

Tooprakai, P. [Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok 10330 (Thailand); Seripienlert, A.; Ruffolo, D.; Chuychai, P. [Thailand Center of Excellence in Physics, CHE, Ministry of Education, Bangkok 10400 (Thailand); Matthaeus, W. H., E-mail: david.ruf@mahidol.ac.th [Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, DE 19716 (United States)

2016-11-10

We simulate trajectories of energetic particles from impulsive solar flares for 2D+slab models of magnetic turbulence in spherical geometry to study dropout features, i.e., sharp, repeated changes in the particle density. Among random-phase realizations of two-dimensional (2D) turbulence, a spherical harmonic expansion can generate homogeneous turbulence over a sphere, but a 2D fast Fourier transform (FFT) locally mapped onto the lateral coordinates in the region of interest is much faster computationally, and we show that the results are qualitatively similar. We then use the 2D FFT field as input to a 2D MHD simulation, which dynamically generates realistic features of turbulence such as coherent structures. The magnetic field lines and particles spread non-diffusively (ballistically) to a patchy distribution reaching up to 25° from the injection longitude and latitude at r ∼ 1 au. This dropout pattern in field line trajectories has sharper features in the case of the more realistic 2D MHD model, in better qualitative agreement with observations. The initial dropout pattern in particle trajectories is relatively insensitive to particle energy, though the energy affects the pattern’s evolution with time. We make predictions for future observations of solar particles near the Sun (e.g., at 0.25 au), for which we expect a sharp pulse of outgoing particles along the dropout pattern, followed by backscattering that first remains close to the dropout pattern and later exhibits cross-field transport to a distribution that is more diffusive, yet mostly contained within the dropout pattern found at greater distances.

SIMULATIONS OF LATERAL TRANSPORT AND DROPOUT STRUCTURE OF ENERGETIC PARTICLES FROM IMPULSIVE SOLAR FLARES

International Nuclear Information System (INIS)

Tooprakai, P.; Seripienlert, A.; Ruffolo, D.; Chuychai, P.; Matthaeus, W. H.

2016-01-01

We simulate trajectories of energetic particles from impulsive solar flares for 2D+slab models of magnetic turbulence in spherical geometry to study dropout features, i.e., sharp, repeated changes in the particle density. Among random-phase realizations of two-dimensional (2D) turbulence, a spherical harmonic expansion can generate homogeneous turbulence over a sphere, but a 2D fast Fourier transform (FFT) locally mapped onto the lateral coordinates in the region of interest is much faster computationally, and we show that the results are qualitatively similar. We then use the 2D FFT field as input to a 2D MHD simulation, which dynamically generates realistic features of turbulence such as coherent structures. The magnetic field lines and particles spread non-diffusively (ballistically) to a patchy distribution reaching up to 25° from the injection longitude and latitude at r ∼ 1 au. This dropout pattern in field line trajectories has sharper features in the case of the more realistic 2D MHD model, in better qualitative agreement with observations. The initial dropout pattern in particle trajectories is relatively insensitive to particle energy, though the energy affects the pattern’s evolution with time. We make predictions for future observations of solar particles near the Sun (e.g., at 0.25 au), for which we expect a sharp pulse of outgoing particles along the dropout pattern, followed by backscattering that first remains close to the dropout pattern and later exhibits cross-field transport to a distribution that is more diffusive, yet mostly contained within the dropout pattern found at greater distances.

Coaction versus reciprocity in continuous-time models of cooperation.

Science.gov (United States)

van Doorn, G Sander; Riebli, Thomas; Taborsky, Michael

2014-09-07

Cooperating animals frequently show closely coordinated behaviours organized by a continuous flow of information between interacting partners. Such real-time coaction is not captured by the iterated prisoner's dilemma and other discrete-time reciprocal cooperation games, which inherently feature a delay in information exchange. Here, we study the evolution of cooperation when individuals can dynamically respond to each other's actions. We develop continuous-time analogues of iterated-game models and describe their dynamics in terms of two variables, the propensity of individuals to initiate cooperation (altruism) and their tendency to mirror their partner's actions (coordination). These components of cooperation stabilize at an evolutionary equilibrium or show oscillations, depending on the chosen payoff parameters. Unlike reciprocal altruism, cooperation by coaction does not require that those willing to initiate cooperation pay in advance for uncertain future benefits. Correspondingly, we show that introducing a delay to information transfer between players is equivalent to increasing the cost of cooperation. Cooperative coaction can therefore evolve much more easily than reciprocal cooperation. When delays entirely prevent coordination, we recover results from the discrete-time alternating prisoner's dilemma, indicating that coaction and reciprocity are connected by a continuum of opportunities for real-time information exchange. Copyright © 2014 Elsevier Ltd. All rights reserved.

Student Drop-Out from German Higher Education Institutions

Science.gov (United States)

Heublein, Ulrich

2014-01-01

28% of students of any one year currently give up their studies in bachelor degree programmes at German higher education institutions. Drop-out is to be understood as the definite termination in the higher education system without obtaining an academic degree. The drop-out rate is thereby calculated with the help of statistical estimation…

Gambling Disorder: Exploring Pre-treatment and In-treatment Dropout Predictors. A UK Study.

Science.gov (United States)

Ronzitti, Silvia; Soldini, Emiliano; Smith, Neil; Clerici, Massimo; Bowden-Jones, Henrietta

2017-12-01

The aim of this study was to identify predictors of treatment dropout in a sample of gamblers attending a specialist clinic for gambling disorder. We analysed data on 846 treatment-seeking pathological gamblers. Firstly, we investigated differences in socio-demographic and clinical variables between treatment completers and pre-treatment dropouts, as well as between treatment completers and during-treatment dropouts. Subsequently, variables were entered into a multinomial logistic regression model to identify significant predictors of pre-treatment and in-treatment dropout. Overall, 44.8% of clients did not complete the treatment: 27.4% dropped out before starting it, while 17.4% dropped out during the treatment. Younger age and use of drugs were associated with pre-treatment dropout, while family history of gambling disorder, a lower PGSI score, and being a smoker were related with in-treatment dropout. Our findings suggest that pre-treatment dropouts differ from in-treatment dropouts, and, thus, further research will benefit from considering these groups separately. In addition, this newly gained knowledge will also be helpful in increasing treatment retention in specific subgroups of problem gamblers.

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

Science.gov (United States)

Karyotaki, E; Kleiboer, A; Smit, F; Turner, D T; Pastor, A M; Andersson, G; Berger, T; Botella, C; Breton, J M; Carlbring, P; Christensen, H; de Graaf, E; Griffiths, K; Donker, T; Farrer, L; Huibers, M J H; Lenndin, J; Mackinnon, A; Meyer, B; Moritz, S; Riper, H; Spek, V; Vernmark, K; Cuijpers, P

2015-10-01

It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Using self-determination theory to explain sport persistence and dropout in adolescent athletes.

Science.gov (United States)

García Calvo, Tomás; Cervelló, Eduardo; Jiménez, Ruth; Iglesias, Damián; Moreno Murcia, Juan Antonio

2010-11-01

Motivational characteristics are influential in shaping adolescents' desire to persist in sport or to discontinue their sport participation. Self-determination theory (Deci & Ryan, 2000) was utilized as the theoretical framework for this study. This theory examines whether sustained participatory involvement, defined as continued participation in the sport through the next year, was influenced by individuals' self-determined motivation and by the fulfillment of the three basic psychological needs of autonomy, competence, and relatedness. Four hundred ninety two soccer players between the ages of 13 and 17 years comprised the sample. Results indicated sport dropout was explained by higher levels of amotivation, external regulation, and introjected regulation and by lower satisfaction of relatedness and autonomy needs. The findings of this study contribute to the knowledge base on sport dropout as they supported many of self-determination theory.

Diplomas Count 2013: Second Chances--Turning Dropouts into Graduates

Science.gov (United States)

Education Week, 2013

2013-01-01

The 2013 edition of "Diplomas Count," entitled "Second Chances: Turning Dropouts into Graduates," examines dropout recovery and innovative strategies for returning to the educational fold the 1 million students who leave school without a diploma each year. "Education Week's" journalists investigate interventions that…

The impact of community schools on student dropout in pre-vocational education

NARCIS (Netherlands)

Heers, Marieke; Van Klaveren, Chris; Groot, Wim; van den Brink, Henriëtte Maassen

2014-01-01

Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors determine student dropout. Community schools recognize this and aim to modernize education such that it better accommodates

The impact of community schools on student dropout in pre-vocational education

NARCIS (Netherlands)

Heers, M.; van Klaveren, C.; Groot, W.; Maassen van den Brink, H.

2012-01-01

Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors are determining student dropout. Community schools recognize this and modernize education such that it better accommodates

Quantifying the Precipitation Loss of Radiation Belt Electrons during a Rapid Dropout Event

Science.gov (United States)

Pham, K. H.; Tu, W.; Xiang, Z.

2017-12-01

Relativistic electron flux in the radiation belt can drop by orders of magnitude within the timespan of hours. In this study, we used the drift-diffusion model that includes azimuthal drift and pitch angle diffusion of electrons to simulate low-altitude electron distribution observed by POES/MetOp satellites for rapid radiation belt electron dropout event occurring on May 1, 2013. The event shows fast dropout of MeV energy electrons at L>4 over a few hours, observed by the Van Allen Probes mission. By simulating the electron distributions observed by multiple POES satellites, we resolve the precipitation loss with both high spatial and temporal resolution and a range of energies. We estimate the pitch angle diffusion coefficients as a function of energy, pitch angle, and L-shell, and calculate corresponding electron lifetimes during the event. The simulation results show fast electron precipitation loss at L>4 during the electron dropout, with estimated electron lifetimes on the order of half an hour for MeV energies. The electron loss rate show strong energy dependence with faster loss at higher energies, which suggest that this dropout event is dominated by quick and localized scattering process that prefers higher energy electrons. The estimated pitch angle diffusion rates from the model are then compared with in situ wave measurements from Van Allen Probes to uncover the underlying wave-particle-interaction mechanisms that are responsible for the fast electron precipitation. Comparing the resolved precipitation loss with the observed electron dropouts at high altitudes, our results will suggest the relative role of electron precipitation loss and outward radial diffusion to the radiation belt dropouts during storm and non-storm times, in addition to its energy and L dependence.

Clinical outcomes of psychotherapy dropouts: does dropping out of psychotherapy necessarily mean failure?

Directory of Open Access Journals (Sweden)

Rodrigo T. Lopes

2017-09-01

Full Text Available Objective: A large proportion of psychotherapy patients remain untreated, mostly because they drop out. This study compares the short- and long-term outcomes of patients who dropped out of psychotherapy to those of therapy completers. Methods: The sample included 63 patients (23 dropouts and 40 completers from a controlled clinical trial, which compared narrative therapy vs. cognitive-behavioral therapy for major depressive disorder. Patients were assessed at the eighth session, post-treatment, and at 31-month follow-up. Results: Dropouts improved less than completers by the last session attended, but continued to improve significantly more than completers during the follow-up period. Some dropout patients improved with a small dose of therapy (17% achieved a clinically significant change before abandoning treatment, while others only achieved clinically significant change after a longer period (62% at 31-month follow-up. Conclusion: These results emphasize the importance of dealing effectively with patients at risk of dropping out of therapy.Patients who dropped out also reported improvement of depressive symptoms without therapy, but took much longer to improve than did patients who completed therapy. This might be attributable to natural remission of depression. Further research should use a larger patient database, ideally gathered by meta-analysis.

The role of nailfold capillary dropout on mortality in systemic sclerosis.

Science.gov (United States)

Tieu, Joanna; Hakendorf, Paul; Woodman, Richard J; Patterson, Karen; Walker, Jenny; Roberts-Thomson, Peter

2018-05-01

Semi-quantitative wide-field nailfold capillaroscopy (NFC) is a simple technique with proven utility in the early diagnosis of systemic sclerosis (SSc). Its role in prognosis, however, remains uncertain. To investigate the possible utility of NFC in predicting survival. Patients with SSc listed on the South Australian Scleroderma Register (SASR) with prior NFC performed at Flinders Medical Centre from 1991 to 2015 were included in this study. Baseline demographic data, diagnosis, scleroderma antibody status and mortality status were also collected for each patient. The cohort consisted of 99 patients with limited cutaneous SSc, 30 patients with diffuse cutaneous SSc and 23 with an overlap scleroderma syndrome. Fifty-six patients died during the period of study (censured end June 2015). Patients with diffuse scleroderma had significantly greater capillary dropout compared with limited and overlap scleroderma (P dropout scores (log-rank χ 2 = 8.75, P = 0.003) and antibody status (log-rank χ 2 = 13.94, P = 0.003) were associated with mortality. ANOVA showed a significant association between antibody status and capillary dropout (P dropout attenuated the impact of autoantibody group on survival. Nailfold capillary dropout was significantly associated with mortality and the severity of dropout attenuates survival dictated by antibody status. Together these observations support the hypothesis that capillary dropout is on the causal pathway between induction of scleroderma associated autoantibodies and mortality. © 2018 Royal Australasian College of Physicians.

A numerical simulation of solar energetic particle dropouts during impulsive events

International Nuclear Information System (INIS)

Wang, Y.; Qin, G.; Zhang, M.; Dalla, S.

2014-01-01

This paper investigates the conditions for producing rapid variations of solar energetic particle (SEP) intensity commonly known as 'dropouts'. In particular, we use numerical model simulations based on solving the focused transport equation in the three-dimensional Parker interplanetary magnetic field to put constraints on the properties of particle transport coefficients in both directions perpendicular and parallel to the magnetic field. Our calculations of the temporal intensity profile of 0.5 and 5 MeV protons at the Earth show that the perpendicular diffusion must be small while the parallel mean free path is long in order to reproduce the phenomenon of SEP dropouts. When the parallel mean free path is a fraction of 1 AU and the observer is located at 1 AU, the perpendicular to parallel diffusion ratio must be below 10 –5 if we want to see the particle flux dropping by at least several times within 3 hr. When the observer is located at a larger solar radial distance, the perpendicular to parallel diffusion ratio for reproducing the dropouts should be even lower than that in the case of 1 AU distance. A shorter parallel mean free path or a larger radial distance from the source to observer will cause the particles to arrive later, making the effects of perpendicular diffusion more prominent and SEP dropouts disappear. All of these effects require the magnetic turbulence that resonates with the particles to be low everywhere in the inner heliosphere.

Student Drop-Out Trends at Sultan Qaboos University and Kuwait University: 2000-2011

Science.gov (United States)

Al Ghanboosi, Salim Saleem; Alqahtani, Abdulmuhsen Ayedh

2013-01-01

The current study aims to explore the drop-out trends at Sultan Qaboos. University and Kuwait University. Archival data of the period 2000-2011 were used to achieve this goal. Main findings showed that (a) male drop-out rates are higher than female drop-out rates; (b) drop- out rates at scientific colleges are higher; (c) drop-out rates of…

Electron Flux Dropouts at L ˜ 4.2 From Global Positioning System Satellites: Occurrences, Magnitudes, and Main Driving Factors

Science.gov (United States)

Boynton, R. J.; Mourenas, D.; Balikhin, M. A.

2017-11-01

Dropouts in electron fluxes at L ˜ 4.2 were investigated for a broad range of energies from 120 keV to 10 MeV, using 16 years of electron flux data from Combined X-ray Dosimeter on board Global Positioning System (GPS) satellites. Dropouts were defined as flux decreases by at least a factor 4 in 12 h, or 24 h during which a decrease by at least a factor of 1.5 must occur during each 12 h time bin. Such fast and strong dropouts were automatically identified from the GPS electron flux data and statistics of dropout magnitudes, and occurrences were compiled as a function of electron energy. Moreover, the Error Reduction Ratio analysis was employed to search for nonlinear relationships between electron flux dropouts and various solar wind and geomagnetic activity indices, in order to identify potential external causes of dropouts. At L ˜ 4.2, the main driving factor for the more numerous and stronger 1-10 MeV electron dropouts turns out to be the southward interplanetary magnetic field Bs, suggesting an important effect from precipitation loss due to combined electromagnetic ion cyclotron and whistler mode waves in a significant fraction of these events, supplementing magnetopause shadowing and outward radial diffusion which are also effective at lower energies.

Therapist effects on dropout from a college counseling center practice research network.

Science.gov (United States)

Xiao, Henry; Castonguay, Louis G; Janis, Rebecca A; Youn, Soo Jeong; Hayes, Jeffrey A; Locke, Benjamin D

2017-07-01

Dropout has been a pervasive and costly problem in psychotherapy, particularly for college counseling centers. The present study examined potential predictors of dropout using a large data set (N = 10,147 clients, 481 therapists) that was gathered through a college counseling center practice research network as a replication and extension of recent findings regarding therapist effects on dropout. The final model resulted in a dropout rate of 15.9% and a therapist effect of 9.51% on dropout variance. Therapist demographic variables were investigated, though none were found to be significant. Variables found to be predictive of increased likelihood of dropping out included higher levels of general presenting concerns, alcohol-related distress, and current financial stress. Ultimately, this study showed that therapists may play an important role in the likelihood of client dropout, and that additional research should be conducted to identify additional predictors, particularly at the therapist and center level. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Factors associated with dropout in medical education: a literature review.

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O'Neill, Lotte Dyhrberg; Wallstedt, Birgitta; Eika, Berit; Hartvigsen, Jan

2011-05-01

Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised. This review aimed to systematically and critically review studies dealing with factors found to be associated with dropping out of medical school. A systematic critical literature review of the international peer-reviewed research literature on medical education was performed. A primary search was conducted and subsequently supplemented with ancestry and descendancy searches. The population of interest was medical students and the outcome was dropout. Abstract/title screening and quality assessment were performed by two independent researchers. Studies were assessed on six domains of quality: study participation; study attrition; predictor measurement; measurement of and accounting for confounders; outcome measurement, and analysis. Only studies that accounted for confounding were included in the final analysis. Of 625 studies found, 48 were quality-assessed and 13 of these were eventually included based on their fulfilment of our quality-related criteria. A range of entry qualifications seemed to be associated with greater chances of a student dropping out (odds ratio [OR] = 1.65-4.00). Struggling academically in medical school may be strongly associated with dropout. By contrast, no specific pattern of demographic variables was particularly important in relation to dropout. The effects of socio-economic, psychological and educational variables on dropout were not well investigated. More research into causal models and theory testing, which considers the effects of education, organisation and institution, is necessary if we are to learn more about how we can actively prevent medical student withdrawal. © Blackwell Publishing Ltd 2011.

A comparison of pre-dropout and temporary rupture sessions in psychotherapy.

Science.gov (United States)

Gülüm, I Volkan; Soygüt, Gonca; Safran, Jeremy D

2016-11-15

Although numerous studies have investigated the relationship between the therapeutic alliance and dropout, most have focused on the relationship between alliance quality and psychotherapy outcomes. To compare sessions with therapeutic alliance ruptures and two sessions prior to treatment dropout (pre-dropout) in terms of rupture subtypes, psychotherapists' behavior, attitudes, and session content. We implemented quantitative methods to select the sessions and qualitative methods to analyze them. We analyzed 16 temporary rupture sessions from 12 therapist-patient dyads and 16 pre-dropout sessions from 8 different therapist-patient dyads. The sessions originate from clinical psychology Master's or Doctoral students under supervision in either cognitive behavioral or schema therapy. Pre-dropout sessions were considered unrepaired rupture sessions while rupture sessions were subsequently repaired. Results revealed apparent differences and similarities between the session types in positive and negative psychotherapist behaviors, content intensity, and the type and frequency of ruptures. We explored three new rupture subtypes: attributing positive developments to other sources, indirect speech, and sarcastic hostility. A striking implication is that the frequency of positive and negative psychotherapist behaviors, ruptures, and session content is more likely to decrease in the pre-dropout sessions than in the temporary rupture sessions.

Problems With Using Patient Retention in the Evaluation of Mental Health Providers: Differences in Type of Dropout.

Science.gov (United States)

Brown, Halley J; Andreason, Hope; Melling, Amy K; Imel, Zac E; Simon, Gregory E

2015-08-01

Retention, or its opposite, dropout, is a common metric of psychotherapy quality, but using it to assess provider performance can be problematic. Differences among providers in numbers of general dropouts, "good" dropouts (patients report positive treatment experiences and outcome), and "bad" dropouts (patients report negative treatment experiences and outcome) were evaluated. Patient records were paired with satisfaction surveys (N=3,054). Binomial mixed-effects models were used to examine differences among providers by dropout type. Thirty-four percent of treatment episodes resulted in dropout. Of these, 14% were bad dropouts and 27% were good dropouts. Providers accounted for approximately 17% of the variance in general dropout and 10% of the variance in both bad dropout and good dropout. The ranking of providers fluctuated by type of dropout. Provider assessments based on patient retention should offer a way to isolate dropout type, given that nonspecific metrics may lead to biased estimates of performance.

Factors associated with non-participation and drop-out in a lifestyle intervention for workers with an elevated risk of cardiovascular disease

Directory of Open Access Journals (Sweden)

van der Beek Allard J

2009-12-01

Full Text Available Abstract Background Non-response and drop-out are problems that are commonly encountered in health promotion trials. Understanding the health-related characteristics of non-participants and drop-outs and the reasons for non-participation and drop-out may be beneficial for future intervention trials. Methods Male construction workers with an elevated risk of cardiovascular disease (CVD were invited to participate in a lifestyle intervention study. In order to investigate the associations between participation and CVD risk factors, and drop-out and CVD risk factors, crude and multiple logistic regression analyses were performed. The reasons for non-participation and drop-out were assessed qualitatively. Results 20% of the workers who were invited decided to participate; 8.6% of the participants dropped out before the first follow-up measurement. The main reasons for non-participation were 'no interest', 'current (para-medical treatment', and 'feeling healthy', and for drop-out they were 'lack of motivation', 'current (para-medical treatment', and 'disappointment'. Participants were 4.2 years older, had a higher blood pressure, higher total cholesterol, and lower HDL cholesterol than non-participants, and were more likely to report 'tiredness and/or stress' and 'chest pain and/or shortness of breath'. After adjusting for age, most risk factors were not significantly associated with participation. Drop-outs were 4.6 years younger than those who completed the study. The prevalence of smoking was higher among non-participants and drop-outs. Conclusion Participants had a worse CVD risk profile than non-participants, mainly because of the difference in age. Non-participants and drop-outs were younger and more likely to be smokers. The main reasons for non-participation and drop-out were health-related. Investigators in the field of health promotion should be encouraged to share comparable information. Trial registration Current Controlled Trials ISRCTN

Valued Youth Partnerships: Programs in Caring. Cross-Age Tutoring Dropout Prevention Strategies.

Science.gov (United States)

Intercultural Development Research Association, San Antonio, TX.

This booklet provides information about the Valued Youth Partnership (VYP) program for dropout prevention. Begun in 1984 with the support of the Coca-Cola Company and the collaboration of the Intercultural Development Research Association, the VYP program is being implemented in the Edgewood and South San Antonio school districts in San Antonio,…

Understanding Catalan University Dropout from a Cross-National Approach

Science.gov (United States)

Rodríguez-Gómez, David; Feixas, Mònica; Gairín, Joaquín; Muñoz, José Luís

2015-01-01

The dropout rate is an indicator of complex analysis and there is no consensus on its significance. Universities lack systematized, univocal methods for collecting student dropout data, making measurement problematic. In consequence, the formulas applied to analyze this phenomenon differ between countries and it is therefore an immense challenge…

School Dropout Indicators, Trends, and Interventions for School Counselors

Science.gov (United States)

Dockery, Donna J.

2012-01-01

School counselors are expected to develop programs that promote academic success for all students, including those at risk for dropping out of school. Knowledge of key indicators of potential dropouts and current trends in dropout prevention research may assist school counselors in better understanding this complex issue. Implementing recommended…

Dropout of Children from schools in Nepal

OpenAIRE

Wagle, Dhirendra

2012-01-01

Nepal, a developing country of the south-asian region has bigger problem of children not completing the full cycle of basic education. In other words, large number of children dropout of schools, especially in the primary and secondary level of schooling. Especially, the situation is worse for those of the backward and socially disadvantaged populations and of the rural and the remote areas. Being in this frame, this study focused on the reasons of dropout of children from schools and the pos...

Model-Free Adaptive Control Algorithm with Data Dropout Compensation

Directory of Open Access Journals (Sweden)

Xuhui Bu

2012-01-01

Full Text Available The convergence of model-free adaptive control (MFAC algorithm can be guaranteed when the system is subject to measurement data dropout. The system output convergent speed gets slower as dropout rate increases. This paper proposes a MFAC algorithm with data compensation. The missing data is first estimated using the dynamical linearization method, and then the estimated value is introduced to update control input. The convergence analysis of the proposed MFAC algorithm is given, and the effectiveness is also validated by simulations. It is shown that the proposed algorithm can compensate the effect of the data dropout, and the better output performance can be obtained.

Factors associated with non-participation and dropout among cancer patients in a cluster-randomised controlled trial.

Science.gov (United States)

Roick, J; Danker, H; Kersting, A; Briest, S; Dietrich, A; Dietz, A; Einenkel, J; Papsdorf, K; Lordick, F; Meixensberger, J; Mössner, J; Niederwieser, D; Prietzel, T; Schiefke, F; Stolzenburg, J-U; Wirtz, H; Singer, S

2018-01-01

We investigated the impact of demographic and disease related factors on non-participation and dropout in a cluster-randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non-participation and dropout were documented at each time point. Factors considered to be potentially related with non-participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non-participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6-0.9) and those with advanced disease (OR 2.0, CI: 0.1-1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8-1.2), advanced disease (OR 3.0, CI: 1.0-1.2), being married (OR 2.4, CI 0.7-1.1) and less frequent with university education (OR 0.4, CI -1.3 to -0.8) and middle income (OR 0.4, CI -0.9 to -0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non-participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation. © 2017 John Wiley & Sons Ltd.

Drop-out rate and drop-out reasons among promising Norwegian track and field athletes: a 25 year study

OpenAIRE

Enoksen, Eystein

2011-01-01

© Eystein Enoksen, 2011 The aim of the present study was to identify the total drop-out rate and drop-out reasons for a group of promising track and field athletes. 202 males and 98 females, aged 16 ±2 years, took part in this study. Questionnaires were administrated in 1975, 1983, and 1989. In-depth interviews were conducted in 1989 and in 2000. A chi-square test was administrated to test the difference between males and females dropping out and to test the most significant reasons influe...

Research-Based Strategies and Best Practices for Dropout Prevention

Science.gov (United States)

Smink, Jay

2009-01-01

The National Dropout Prevention Center (NDPC) at Clemson University has been at the forefront of identifying model dropout prevention programs and promoting the use of best practices to increase the graduation rates in schools since 1986. The structure for these varied interventions and solutions takes the form of effective strategies, model…

Dropout Prevalence and Associated Factors in Randomized Clinical Trials of Adolescents Treated for Depression: Systematic Review and Meta-analysis.

Science.gov (United States)

Rohden, Adriane Isabel; Benchaya, Mariana Canellas; Camargo, Roger Santos; Moreira, Taís de Campos; Barros, Helena M T; Ferigolo, Maristela

2017-05-01

Depression currently affects 350 million people, and its prevalence among adolescents is 4% to 8%. Adolescents who abandon antidepressant treatment or drop out of clinical trials are less likely to recover or experience a remission of symptoms because they are not being followed up by a medical team. The objective of this study was to analyze the dropout rates of randomized clinical trials of depressed adolescents receiving treatment with antidepressant drugs and the factors associated with nonadherence by summarizing this information in a systematic review and meta-analysis. Articles were retrieved from MEDLINE, EMBASE, Cochrane, Clinical Trial, PsycINFO, and Web of Science using the MeSH terms "depressive disorder," "randomized trials," and "adolescents." The evaluation of study quality was performed by using the Cochrane Handbook for Systematic Reviews of Interventions and the Jadad scale. The final sample included 50 articles, of which 44 presented dropout rates. The overall dropout prevalence was 23% (95% CI, 20-27; P dropout prevalence, respectively (33% [95% CI, 27-39], 45% [95% CI, 31-64], and 15% [95% CI, 13-17]). The adverse effects most associated with dropout were attempted suicide followed by mania, skin rash, and headache. Problems relating to clinical trials and family arbitration were also related with dropout. Serotonin/norepinephrine reuptake inhibitor treatment, adolescent age >16 years, and receiving medication were the only factors demonstrating a higher association with dropout rates. Selective serotonin reuptake inhibitors were linked to the lowest prevalence, probably due to fewer perceived problems with related adverse effects and higher efficacy in adolescents. Cognitive-behavioral therapy combined with pharmacotherapy produced a lower nonadherence prevalence; this approach can be an alternative to avoid dropouts and relapse. Prospero identifier: CRD42014013475. Copyright © 2017 Elsevier HS Journals, Inc. All rights reserved.

How can we strengthen students’ social relations in order to reduce school dropout?

DEFF Research Database (Denmark)

Ingholt, Liselotte; Sørensen, Betina Bang; Andersen, Susan

2015-01-01

on ethnographic methods, including 22 qualitative interviews with students 17-19 years old and fieldwork with participant observations at four vocational schools over 40 days, including informal interviews and discussion meetings with managers, teachers, counselors and students. As part of the fieldwork, four......BACKGROUND: This article describes the rationale and contents of an intervention program aimed at strengthening students' social relations in order to reduce dropout from vocational schools in Denmark. Taking its theoretical cue from the concept of 'social participation', a qualitative study...... was performed to investigate the specific relationships between the social environment within the schools and the institutional structures in order to analyse reasons for school dropout and their relation to well-being, cigarette smoking and substance use. METHODS: The development study was based...

Public High School Four-Year On-Time Graduation Rates and Event Dropout Rates: School Years 2010-11 and 2011-12. First Look. NCES 2014-391

Science.gov (United States)

Stetser, Marie C.; Stillwell, Robert

2014-01-01

This National Center for Education Statistics (NCES) First Look report introduces new data for two separate measures of 4-year on-time graduation rates as well as event dropout rates for school year (SY) 2010-11 and SY 2011-12. Specifically this report provides the following: (1) Four-year adjusted cohort graduation rate (ACGR) data reported by…

Dropout and completion in higher education in Europe: main report

NARCIS (Netherlands)

Vossensteyn, Johan J.; Kottmann, Andrea; Jongbloed, Benjamin W.A.; Kaiser, Franciscus; Cremonini, Leon; Stensaker, Bjorn; Hovdhaugen, Elisabeth; Wollscheid, Sabine

2015-01-01

Improving completion and reducing dropout in higher education are key concerns for higher education in Europe. This study on dropout and completion in higher education in Europe demonstrates that national governments and higher education institutions use three different study success objectives:

Complete plasma dropouts at Vela satellites during thinning of the plasma sheet

International Nuclear Information System (INIS)

Lui, A.T.Y.; Hones, E.W. Jr.; Venkatesan, D.; Akasofu, S.; Bame, S.J.

1975-01-01

Five satellite years of Vela data are examined for plasma sheet thinnings. Complete proton disappearances (plasma dropouts) are the main subject here. During such times, the Vela satellite is temporarily in the high-latitude tail lobe. The distribution of such plasma dropouts within the magnetotail suggests that the semithickness of the plasma sheet near midnight seldom reaches less than 1 R/sub E/ during substorms and that the dawn and dusk portions of the plasma sheet remain thicker than the midnight portion. But it is also shown that the plasma sheet occasionally becomes very thin near the dusk magnetopause. No such severe thinnings of the plasma sheet are found near the dawn magnetopause. Plasma dropouts can occur regardless of the sign of the Z component of the IMF, but their frequency of occurrence seems to be greater when the Z component is negative.Three plasma dropouts which occurred in the midnight sector at unusually large distances from the estimated position of the neutral sheet were observed during geomagnetic storms. It is likely that the midnight sector of the plasma sheet can become very thick (approx.18 R/sub E/) at certain times during the main phase of storms. Detailed measurements in the plasma sheet were obtained near the beginning of a geomagnetic storm whose sc triggered a substorm. A compression of the plasma sheet at X/sub SM/approx. =-15 R/sub E/ occurred about 10 min after the sc onset at the earth and about 5 min after the start of plasma sheet thinning associated with the sc-related substorm. If compression-thinning of the plasma sheet initiated this substorm, the triggering action must have occurred earthward of X/sub SM/approx. =-15 R/sub E/

Factors associated with dropout from treatment for eating disorders: a comprehensive literature review

Directory of Open Access Journals (Sweden)

Tomba Elena

2009-10-01

Full Text Available Abstract Background Dropout (DO is common in the treatment of eating disorders (EDs, but the reasons for this phenomenon remain unclear. This study is an extensive review of the literature regarding DO predictors in EDs. Methods All papers in PubMed, PsycINFO and Cochrane Library (1980-2009 were considered. Methodological issues and detailed results were analysed for each paper. After selection according to inclusion criteria, 26 studies were reviewed. Results The dropout rates ranged from 20.2% to 51% (inpatient and from 29% to 73% (outpatient. Predictors of dropout were inconsistent due to methodological flaws and limited sample sizes. There is no evidence that baseline ED clinical severity, psychiatric comorbidity or treatment issues affect dropout. The most consistent predictor is the binge-purging subtype of anorexia nervosa. Good evidence exists that two psychological traits (high maturity fear and impulsivity and two personality dimensions (low self-directedness, low cooperativeness are related to dropout. Conclusion Implications for clinical practice and areas for further research are discussed. Particularly, these results highlight the need for a shared definition of dropout in the treatment of eating disorders for both inpatient and outpatient settings. Moreover, the assessment of personality dimensions (impulse control, self-efficacy, maturity fear and others as liability factors for dropout seems an important issue for creating specific strategies to reduce the dropout phenomenon in eating disorders.

Theoretical and methodological considerations to investigate school dropout

Directory of Open Access Journals (Sweden)

Román Hernández –Dávila

2017-07-01

Full Text Available This work offers an exhaustive analysis of different authors and studies– falling under general and methodological criteria – of the reasons responsible for school dropouts, predominantly in vulnerable areas. To do so it is necessary to reflect on the problem with the intention of identifying the contributing factors. In these situations, various elements come into play, ranging from the organization of education systems, application of public policies, social conditions, the individual’s situation, health, the psychological and emotional impact, as well as the cultural patterns that may in compass the minor’s family, student-teacher relationship and school management. As an addition, a series of useful proposals is offered in bringing about change in the educational sector, focused on the reducing of school dropouts. It is assumed that research about dropouts should be undertaken from a qualitative concept, with hermeneutical characteristics, that allow the phenomenon under study to be interpreted reliably. This methodological basis has ethnographic foundations since it requires the reviewing of specific aspects of the socio cultural context present in the factors subject to investigation. Works of this nature should identify the determinants of school dropouts in a specific line of inquiry, describe them, and generate a database that displays the indicators of the causes that create this phenomenon.

Electron–Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

International Nuclear Information System (INIS)

Tan, Lun C.

2017-01-01

Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron–ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

Electron-Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

Science.gov (United States)

Tan, Lun C.

2017-09-01

Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron-ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

Electron–Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

Energy Technology Data Exchange (ETDEWEB)

Tan, Lun C., E-mail: ltan@umd.edu [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States)

2017-09-01

Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron–ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

No-shows, drop-outs and completers in psychotherapeutic treatment

DEFF Research Database (Denmark)

Fenger, Morten Munthe; Mortensen, Erik Lykke; Poulsen, Stig Bernt

2011-01-01

A primary challenge in mental health services is a high rate of non-attendance (i.e. no-show and drop-out) for patients referred to treatment for psychiatric disorders.......A primary challenge in mental health services is a high rate of non-attendance (i.e. no-show and drop-out) for patients referred to treatment for psychiatric disorders....

Discriminating Factors between Completers of and Dropouts from Online Learning Courses

Science.gov (United States)

Lee, Youngju; Choi, Jaeho; Kim, Taehyun

2013-01-01

This study examined the differences between persistent and dropout students enrolled in an online course with five factors: support from family and work, academic locus of control, academic self-efficacy, time and environment management skills, and metacognitive self-regulation skills. Moreover, this study investigated the most significant factors…

An exploration of students’ own explanations about dropout in vocational education in a danish context

DEFF Research Database (Denmark)

Tanggaard, Lene

2013-01-01

The present paper addresses the phenomenon of student dropout from vocational education in Denmark. It does so by addressing the need to critically discuss the term ‘drop-out’ taking the perspective of students’ own reflections on the topic. The empirical findings indicate that dropout...... is considered in terms of two very different, but intersecting broad explanations voiced by students themselves: (1) as something created in educational institutions in various situations, such as when teachers spend more time and resources on the more affluent, quick-witted and clever students or when...... there is a lack of trainee places and (2) an act resulting from individual initiative and or a lack of perseverance. Secondly, and as a result of analysing the possible interplay between and differences related to the above two broad explanations, the empirical material reveals alternatives to the dropout concept...

Treatment planning: A key milestone to prevent treatment dropout in adolescents with borderline personality disorder.

Science.gov (United States)

Desrosiers, Lyne; Saint-Jean, Micheline; Breton, Jean-Jacques

2015-06-01

The aim of this study was to gain a broader appreciation of processes involved in treatment dropout in adolescents with borderline personality disorder (BPD). A constructivist grounded theory was chosen using a multiple-case research design with three embedded levels of analysis (adolescent, parent, and care setting). Theoretical sampling and the different stages of analysis specific to grounded theory were performed according to the iterative process of constant comparative analysis. Twelve cases were examined (nine dropouts among adolescents with BPD and for the purpose of falsification, one dropout of suicidal adolescent without BPD and two completed treatments among adolescents with BPD). To document the cases, three groups of informants were recruited (adolescents, parents, and therapists involved in the treatment) and 34 interviews were conducted. Psychological characteristics, perception of mental illness and mental health care, and help-seeking context were the specific treatment dropout vulnerabilities identified in adolescents with BPD and in their parents. However, their disengagement became an issue only when care-setting response--including mitigation of accessibility problems, adaptation of services to needs of adolescents with BPD, preparation for treatment, and concern for clinicians' disposition to treat--was ill-suited to these treatment dropout vulnerabilities. Treatment planning proves to be a key milestone to properly engage adolescents with BPD and their parent. Systematic assessment of treatment dropout vulnerabilities before the intervention plan is laid out could foster better-suited responses of the care setting thus decreasing the incidence of treatment discontinuation in adolescents with BPD. Treatment dropout vulnerabilities specific to adolescents with BPD and their parents can be detected before the beginning of treatment. Premature treatment termination may be prevented if the care setting considers these vulnerabilities at treatment

Predicting dropout using student- and school-level factors: An ecological perspective.

Science.gov (United States)

Wood, Laura; Kiperman, Sarah; Esch, Rachel C; Leroux, Audrey J; Truscott, Stephen D

2017-03-01

High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors associated with dropout for the purpose of better understanding how to prevent it. We used the Education Longitudinal Study of 2002 dataset. Participants included 14,106 sophomores across 684 public and private schools. We identified variables of interest based on previous research on dropout and implemented hierarchical generalized linear modeling. In the final model, significant student-level predictors included academic achievement, retention, sex, family socioeconomic status (SES), and extracurricular involvement. Significant school-level predictors included school SES and school size. Race/ethnicity, special education status, born in the United States, English as first language, school urbanicity, and school region did not significantly predict dropout after controlling for the aforementioned predictors. Implications for prevention and intervention efforts within a multitiered intervention model are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

An Energetic Electron Flux Dropout Due to Magnetopause Shadowing on 1 June 2013

Science.gov (United States)

Kang, Suk-Bin; Fok, Mei-Ching; Komar, Colin; Glocer, Alex; Li, Wen; Buzulukova, Natalia

2018-02-01

We examine the mechanisms responsible for the dropout of energetic electron flux during 31 May to 1 June 2013 using Van Allen Probe (Radiation Belt Storm Probes (RBSP)) electron flux data and simulations with the Comprehensive Inner Magnetosphere-Ionosphere (CIMI) model. During the storm main phase, L-shells at RBSP locations are greater than 8, which are connected to open drift shells. Consequently, diminished electron fluxes were observed over a wide range of energies. The combination of drift shell splitting, magnetopause shadowing, and drift loss all results in butterfly electron pitch angle distributions (PADs) at the nightside. During storm sudden commencement, RBSP observations display electron butterfly PADs over a wide range of energies. However, it is difficult to determine whether there are butterfly PADs during the storm main phase since the maximum observable equatorial pitch angle from RBSP is not larger than 40° during this period. To investigate the causes of the dropout, the CIMI model is used as a global 4-D kinetic inner magnetosphere model. The CIMI model reproduces the dropout with very similar timing and flux levels and PADs along the RBSP trajectory for 593 keV. Furthermore, the CIMI simulation shows butterfly PADs for 593 keV during the storm main phase. Based on comparison of observations and simulations, we suggest that the dropout during this event mainly results from magnetopause shadowing.

Do lifestyle factors and general health predict dropout among recently qualified eldercare workers? A two-year follow-up study.

Science.gov (United States)

Giver, Hanne; Faber, Anne; Strøyer, Jesper; Hannerz, Harald; Albertsen, Karen

2011-05-01

The eldercare sector in Denmark as in many industrialised countries is characterised by difficulties in retaining labour. Research suggests a possible imbalance between lifestyle and health among eldercare trainees and the demanding work encountered as eldercare employees. The aim of the present study was to determine the predictive effect of lifestyle and self-rated health on dropout from the Danish eldercare sector two years after qualification. We included 4,526 female eldercare trainees in the analyses of lifestyle parameters and 5,023 in the analyses of self-rated health. The participants in this prospective study were recruited from 27 of the 28 Danish colleges for eldercare. We linked survey data with national register data to obtain information about labour market attachment two years after qualification. The results of the present study showed that the poorer self-rated health, the higher the risk for dropout from the labour market (p lifestyle. We found that overweight/obesity (p = 0.0021 and p = 0.0012) as well as smoking (p = 0.0017) decreased the risk of dropout from eldercare into education. We found no support for increased likelihood of dropout among physically inactive. The results of the present study show that a poorer self-rated health is a predictor for dropout, not only from the eldercare two years after qualification, but from the labour market as a whole. However, the results were less consistent regarding the predictive effect of a detrimental lifestyle on dropout.

Psychosocial risk and protective factors of secondary school dropout in Luxembourg: the protocol of an exploratory case-control study.

Science.gov (United States)

Esch, Pascale; Bocquet, Valéry; Pull, Charles; Couffignal, Sophie; Graas, Marc; Lair, Marie-Lise; Lehnert, Torsten; Fond-Harmant, Laurence; Ansseau, Marc

2011-07-13

In Luxembourg, the extensive phenomenon of school dropout is a prime policy concern in the light of individual, social and economic consequences. Although the authorities report an overall decrease of the national dropout rate, the proportion of early school leavers who remain without any specific occupation is still alarming. Therefore, this study intends a shift of focus from system-inherent to individual factors, including mental health and family correlates, to provide a more comprehensive analysis of the dropout phenomenon. The objectives of this study are to investigate the type and prevalence of psychiatric disorders among school dropouts and to compare the findings with those by a matched control group of regularly enrolled students. Furthermore, family variables and socioeconomic status will be analysed, as they are factors likely to interfere with both educational attainment and mental health. A trained psychologist will use structured interviews and self-report forms to investigate for mental health issues, information on schooling, socioeconomic situation and family life. Controls will be matched for gender, age, school type and educational grade. As school dropouts face a serious risk of long term professional and social marginalization, there is an evident need for action. Identifying psychosocial risk and protective factors of school dropout will deliver solid insight on how to conceive public health strategies for young people who may need a more customized support to carry out their academic potential. ClinicalTrials.gov Identifier: NCT01354236.

Relationship of dropout and psychopathology in a high school sample in Mexico.

Science.gov (United States)

Chalita, Pablo J; Palacios, Lino; Cortes, Jose F; Landeros-Weisenberger, Angeli; Panza, Kaitlyn E; Bloch, Michael H

2012-01-01

School dropout has significant consequences for both individuals and societies. Only 21% of adults in Mexico achieve the equivalent of a high school education. We examined the relationship between school dropout and self-reported psychiatric symptoms in a middle school in a suburb of Mexico City. We used binomial logistic regression to examine the odds ratio (OR) of school dropout associated with students' self-reported psychopathology. Two-hundred thirty-seven students participated in the study. Psychosis [OR = 8.0 (95% confidence interval, CI: 1.7-37.2)], depression [OR = 4.7 (95% CI: 2.2-9.7)], tic disorders [OR = 3.7 (95% CI: 1.4-9.5)], ADHD [OR = 3.2 (95% CI: 1.5-6.4)], and social phobia [OR = 2.6 (95% CI: 1.2-5.8)] were associated with increased risk of school dropout after controlling for age and gender as covariates. Our study suggested that students' self-reported psychopathology is associated with increased school dropout in Mexico. ADHD and depression may be particularly useful childhood psychiatric disorders to target with public health interventions because they explain the greatest amount of the variance in school dropout of child psychiatric disorders.

Simulation of a Rapid Dropout Event for Highly Relativistic Electrons with the RBE Model

Science.gov (United States)

Kang, S-B.; Fok, M.-C.; Glocer, A.; Min, K.-W.; Choi, C.-R.; Choi, E.; Hwang, J.

2016-01-01

A flux dropout is a sudden and sizable decrease in the energetic electron population of the outer radiation belt on the time scale of a few hours. We simulated a flux dropout of highly relativistic 2.5 MeV electrons using the Radiation Belt Environment model, incorporating the pitch angle diffusion coefficients caused by electromagnetic ion cyclotron (EMIC) waves for the geomagnetic storm events of 23-26 October 2002. This simulation showed a remarkable decrease in the 2.5 MeV electron flux during main phase of the storm, compared to those without EMIC waves. This decrease was independent of magnetopause shadowing or drift loss to the magnetopause. We suggest that the flux decrease was likely to be primarily due to pitch angle scattering to the loss cone by EMIC waves. Furthermore, the 2.5 MeV electron flux calculated with EMIC waves correspond very well with that observed from Solar Anomalous and Magnetospheric Particle EXplorer spacecraft. EMIC wave scattering is therefore likely one of the key mechanisms to understand flux dropouts. We modeled EMIC wave intensities by the Kp index. However, the calculated dropout is a several hours earlier than the observed one. We propose that Kp is not the best parameter to predict EMIC waves.

Celebrating 25 Years. National Dropout Prevention Center/Network Newsletter. Volume 22, Number 3

Science.gov (United States)

Duckenfield, Marty, Ed.

2011-01-01

The "National Dropout Prevention Newsletter" is published quarterly by the National Dropout Prevention Center/Network. This issue contains the following articles: (1) Leading the Way in Dropout Prevention; (2) The 15 Effective Strategies in Action; (3) Technology Changes 1986-2011 (Marty Duckenfield); (4) 25 Years of Research and Support…

Treatment of the Aged Patients at a Large Cardiac Rehabilitation Center in the Southern Brazil and Some Aspects of Their Dropout from the Therapeutic Programs.

Science.gov (United States)

Nesello, Pietro Felice Tomazini; Tairova, Olga; Tairova, Maria; Graciolli, Lucas; Baroni, Allan; Comparsi, Eduardo; Marchi, Thiago De

2016-12-15

This paper aims to assess the dropout rate in different age groups through the example of the large cardiac rehabilitation centre affiliated with the Institute of Sports Medicine, University of Caxias do Sul. A historic cohort study comprising the following groups: Non-Old dropout was defined as attendance of 50% of sessions or less. Logistic binominal regression was performed to assess the risk of dropout. For all analyses, a two-tailed P value of dropout rate was 38.6%. The Young-Old and Middle-Old groups showed lower dropouts compared to Non-Old patients (p = 0.01). Young-Old has 96% less risk for dropout compared to Non-Old group (adjusted odds ratios = 1.96 [1.16-3.29]). Furthermore, patients underwent the Coronary Artery Bypass Graft showed a lower rate of dropout (p = 0.001). The absence of CABG involved three times more risk of dropout (p = 0.001). The Non-Old and the Middle-Old patients showed higher dropout rates compared to Young-Old. To ensure the best possible rehabilitation and to improve patients´ participation in CR, these programs should be adjusted to the needs of patients in terms of their age.

The Population Impact of Childhood Health Conditions on Dropout from Upper-Secondary Education.

Science.gov (United States)

Mikkonen, Janne; Moustgaard, Heta; Remes, Hanna; Martikainen, Pekka

2018-05-01

To quantify how large a part of educational dropout is due to adverse childhood health conditions and to estimate the risk of dropout across various physical and mental health conditions. A registry-based cohort study was conducted on a 20% random sample of Finns born in 1988-1995 (n = 101 284) followed for school dropout at ages 17 and 21. Four broad groups of health conditions (any, somatic, mental, and injury) and 25 specific health conditions were assessed from inpatient and outpatient care records at ages 10-16 years. We estimated the immediate and more persistent risks of dropout due to health conditions and calculated population-attributable fractions to quantify the population impact of childhood health on educational dropout, while accounting for a wide array of sociodemographic confounders and comorbidity. Children with any health condition requiring inpatient or outpatient care at ages 10-16 years were more likely to be dropouts at ages 17 years (risk ratio 1.71, 95% CI 1.61-1.81) and 21 years (1.46, 1.37-1.54) following adjustment for individual and family sociodemographic factors. A total of 30% of school dropout was attributable to health conditions at age 17 years and 21% at age 21 years. Mental disorders alone had an attributable fraction of 11% at age 21 years, compared with 5% for both somatic conditions and injuries. Adjusting for the presence of mental disorders reduced the effects of somatic conditions. More than one fifth of educational dropout is attributable to childhood health conditions. Early-onset mental disorders emerge as key targets in reducing dropout. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Development of a Program to Reduce Dropout Rates of Pregnant and Parenting Teens.

Science.gov (United States)

Pollack, Andrew M.

1987-01-01

Describes a program to reduce the dropout rate for pregnant and parenting teens at York Vocational-Technical School (Pennsylvania) for the second semester of 1985-86. One successful feature was a "caring class" providing information about pregnancy, childcare, nutrition, and other subjects. The program retained most of its enrollees. Includes 1…

Business continuity strategies for cyber defence: battling time and information overload.

Science.gov (United States)

Streufert, John

2010-11-01

Can the same numbers and letters which are the life blood of modern business and government computer systems be harnessed to protect computers from attack against known information security risks? For the past seven years, Foreign Service officers and technicians of the US Government have sought to maintain diplomatic operations in the face of rising cyber attacks and test the hypothesis that an ounce of prevention is worth a pound of cure. As eight out of ten attacks leverage known computer security vulnerabilities or configuration setting weaknesses, a pound of cure would seem to be easy to come by. Yet modern security tools present an unusually consequential threat to business continuity - too much rather than too little information on cyber problems is presented, harking back to a phenomenon cited by social scientists in the 1960s called 'information overload'. Experience indicates that the longer the most serious cyber problems go untreated, the wider the attack surface adversaries can find. One technique used at the Department of State, called 'risk scoring', resulted in an 89 per cent overall reduction in measured risk over 12 months for the Department of State's servers and personal computers. Later refinements of risk scoring enabled technicians to correct unique security threats with unprecedented speed. This paper explores how the use of metrics, special care in presenting information to technicians and executives alike, as well as tactical use of organisational incentives can result in stronger cyber defences protecting modern organisations.

The impact of community schools on student dropout in pre-vocational education

OpenAIRE

Heers, M.; van Klaveren, C.; Groot, W.; Maassen van den Brink, H.

2012-01-01

Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors are determining student dropout. Community schools recognize this and modernize education such that it better accommodates students' personal needs. As a result these schools cooperate more with external organizations, stimulate parental involvement in the educational process and organize more extracurricular activities. ...

Dropout from exercise programs for seniors: A prospective cohort study

NARCIS (Netherlands)

Stiggelbout, M.; Hopman-Rock, M.; Tak, E.; Lechner, L.; Mechelen, W. van

2005-01-01

This study examines dropout incidence, moment of dropout, and switching behavior in organized exercise programs for seniors in the Netherlands, as determined in a prospective cohort study (with baseline measurements at the start of the exercise program and follow-up after 6 months; N = 1,725,

Work environment and school dropout

DEFF Research Database (Denmark)

Hansen, Claus D.; Andersen, Johan Hviid; Lund, Thomas

Aim The aim of this presentation is to examine the possible impact of work environment (and especially psychosocial work environment) on school dropout. The questions raised are: to what extent do psychosocial work environment and especially the social relations between young apprentices...... and their colleagues and managers play a role in dropping out of upper secondary education? Methods A cohort of 3058 adolescents born in 1989 and a cohort of approximately 2000 young adults born in 1983 are used to examine the associations between work environment and subsequent dropout in upper secondary educational...... indicated that ‘being treated badly by superior’ was part of the reason for doing so. Further analyses show that reporting repetitive and monotonous work tasks increases the risk of dropping out (OR: 1.74) and that reporting bad working climate at ones work place increases the risk of considering...

CORONAL SOURCES, ELEMENTAL FRACTIONATION, AND RELEASE MECHANISMS OF HEAVY ION DROPOUTS IN THE SOLAR WIND

Energy Technology Data Exchange (ETDEWEB)

Weberg, Micah J. [PhD Candidate in Space Science, Department of Atmospheric, Oceanic, and Space Sciences, University of Michigan, 2134A Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Lepri, Susan T. [Associate Professor, Department of Atmospheric, Oceanic, and Space Sciences, University of Michigan, 2429 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Zurbuchen, Thomas H., E-mail: mjweberg@umich.edu, E-mail: slepri@umich.edu, E-mail: thomasz@umich.edu [Professor, Space Science and Aerospace Engineering, Associate Dean for Entrepreneurship Senior Counselor of Entrepreneurship Education, Department of Atmospheric, Oceanic, and Space Sciences, University of Michigan, 2431 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States)

2015-03-10

The elemental abundances of heavy ions (masses larger than He) in the solar wind provide information about physical processes occurring in the corona. Additionally, the charge state distributions of these heavy ions are sensitive to the temperature profiles of their respective source regions in the corona. Heavy ion dropouts are a relatively new class of solar wind events identified by both elemental and ionic charge state distributions. We have shown that their origins lie in large, closed coronal loops where processes such as gravitational settling dominate and can cause a mass-dependent fractionation pattern. In this study we consider and attempt to answer three fundamental questions concerning heavy ion dropouts: (1) 'where are the source loops located in the large-scale corona?'; (2) 'how does the interplay between coronal processes influence the end elemental abundances?'; and (3) 'what are the most probable release mechanisms'? We begin by analyzing the temporal and spatial variability of heavy ion dropouts and their correlation with heliospheric plasma and magnetic structures. Next we investigate the ordering of the elements inside dropouts with respect to mass, ionic charge state, and first ionization potential. Finally, we discuss these results in the context of the prevailing solar wind theories and the processes they posit that may be responsible for the release of coronal plasma into interplanetary space.

CORONAL SOURCES, ELEMENTAL FRACTIONATION, AND RELEASE MECHANISMS OF HEAVY ION DROPOUTS IN THE SOLAR WIND

International Nuclear Information System (INIS)

Weberg, Micah J.; Lepri, Susan T.; Zurbuchen, Thomas H.

2015-01-01

The elemental abundances of heavy ions (masses larger than He) in the solar wind provide information about physical processes occurring in the corona. Additionally, the charge state distributions of these heavy ions are sensitive to the temperature profiles of their respective source regions in the corona. Heavy ion dropouts are a relatively new class of solar wind events identified by both elemental and ionic charge state distributions. We have shown that their origins lie in large, closed coronal loops where processes such as gravitational settling dominate and can cause a mass-dependent fractionation pattern. In this study we consider and attempt to answer three fundamental questions concerning heavy ion dropouts: (1) 'where are the source loops located in the large-scale corona?'; (2) 'how does the interplay between coronal processes influence the end elemental abundances?'; and (3) 'what are the most probable release mechanisms'? We begin by analyzing the temporal and spatial variability of heavy ion dropouts and their correlation with heliospheric plasma and magnetic structures. Next we investigate the ordering of the elements inside dropouts with respect to mass, ionic charge state, and first ionization potential. Finally, we discuss these results in the context of the prevailing solar wind theories and the processes they posit that may be responsible for the release of coronal plasma into interplanetary space

An Analysis of the Impact of Socio-Economic Disadvantage and School Quality on the Probability of School Dropout

Science.gov (United States)

Mahuteau, S.; Mavromaras, K.

2014-01-01

This paper combines the Australian Programme for International Student Assessment (PISA) micro-level data with its longitudinal continuation, the Longitudinal Survey of Australian Youth data, to measure the association between individual PISA scores and early school dropouts. We use multilevel modelling to distinguish between student and school…

Dropout from individual psychotherapy for major depression: A meta-analysis of randomized clinical trials.

Science.gov (United States)

Cooper, Andrew A; Conklin, Laren R

2015-08-01

Dropout from mental health treatment poses a substantial problem, but rates vary substantially across studies and diagnoses. Focused reviews are needed to provide more detailed estimates for specific areas of research. Randomized clinical trials involving individual psychotherapy for unipolar depression are ubiquitous and important, but empirical data on average dropout rates from these studies is lacking. We conducted a random-effects meta-analysis of 54 such studies (N=5852) including 80 psychotherapy conditions, and evaluated a number of predictors of treatment- and study-level dropout rates. Our overall weighted dropout estimates were 19.9% at the study level, and 17.5% for psychotherapy conditions specifically. Therapy orientation did not significantly account for variance in dropout estimates, but estimates were significantly higher in psychotherapy conditions with more patients of minority racial status or with comorbid personality disorders. Treatment duration was also positively associated with dropout rates at trend level. Studies with an inactive control comparison had higher dropout rates than those without such a condition. Limitations include the inability to test certain potential predictors (e.g., socioeconomic status) due to infrequent reporting. Overall, our findings suggest the need to consider how specific patient and study characteristics may influence dropout rates in clinical research on individual therapy for depression. Copyright © 2015 Elsevier Ltd. All rights reserved.

Reducing Dropouts in Online Education-Group Tutoring in Virtual Seminars and Support Structures

Science.gov (United States)

Holmgren, Robert; Johansson, Sigurd

2012-01-01

This paper describes a development project aimed at reducing the large number of dropouts in online degree project courses. The idea was that the introduction of group tutorials in virtual seminars, combined with extensive support materials, would reduce dropout rates. Among the students who participated, the dropout rate was reduced by 50%…

Immunization dropout rate and data quality among children 12-23 months of age in Ghana.

Science.gov (United States)

Baguune, Benjamin; Ndago, Joyce Aputere; Adokiya, Martin Nyaaba

2017-01-01

Immunization against diseases is one of the most important public health interventions with cost effective means to preventing childhood morbidity, mortality and disability. However, a proportion of children particularly in Africa are not fully immunized with the recommended vaccines. Thus, many children are still susceptible to the Expanded Program on Immunization (EPI) targeted diseases. The objective of this study was to determine the immunization dropout rate and data quality among children aged 12-23 months in Techiman Municipality, Ghana. A cross-sectional cluster survey was conducted among 600 children. Data was collected using semi-structured questionnaire through face-to-face interviews. Before the main data collection, the tools were pre-tested in three different communities in the Municipality. The mothers/caregivers were interviewed, extracted information from the child immunization cards and observation employed to confirm the presence of Bacillus Calmette-Guerin (BCG) scar on each child. Routine immunization data was also extracted from immunization registers and annual reports in the Municipality. I mmunization coverage for each of the fifteen vaccines doses is above 90.0% while full childhood immunized status is 89.5%. Immunization dropout rate was 5.6% (using BCG and Measles as proxy vaccines). This is lower than the 10.0% cutoff point by World Health Organization. However, routine administrative data was characterized by some discrepancies (e.g. > 100.0% immunization coverage for each of the vaccines) and high dropout rate (BCG - Measles = 31.5%). Binary regression was performed to determine predictors of dropout rate. The following were statistically significant: married (OR = 0.31; 95% = CI 0.15-0.62; and p  = 0.001), Christianity (OR = 0.27; 95% CI = 0.13-0.91; and p  dropout. Childhood full immunized status (89.5%) and immunization coverages (>90%) are high while dropout rate is lower than the recommended cutoff point by WHO

Relationship between Self-Reported Psychopathology and Future Dropout in a Mexican School

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Pablo J Chalita

2012-03-01

Full Text Available School dropout has significant consequences for both individuals and societies. Only 21% of adults in Mexico achieve the equivalent of a high school education. We examined the relationship between school dropout and self-reported psychiatric symptoms in a middle school in a suburb of Mexico City. We used binomial logistic regression to examine the odd ratio of school dropout associated with student’s self-reported psychopathology. Two-hundred thirty seven students participated in the study. Psychosis (Odds Ratio (OR=8.0 (95% Confidence Interval (CI: 1.7-37.2, depression (OR=4.7 (95% CI: 2.2-9.7, tic disorders (OR=3.7 (95%CI: 1.4-9.5, ADHD (OR=3.2 (95%CI:1.5-6.4, and social phobia (OR=2.6 (95%CI: 1.2-5.8 were associated with increased risk of school dropout after controlling for age and gender as covariates. Our study suggested that students’ self-reported psychopathology is associated with increased school dropout in Mexico.

Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study.

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Andersson, Helle Wessel; Steinsbekk, Aslak; Walderhaug, Espen; Otterholt, Eli; Nordfjærn, Trond

2018-01-01

Dropout from inpatient treatment for substance use disorder (SUD) is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. A total of 132 patients (28%) did not complete the planned treatment stay (dropped out). Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79). Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97). The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies.

Switching Schools: Reconsidering the Relationship Between School Mobility and High School Dropout

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Gasper, Joseph; DeLuca, Stefanie; Estacion, Angela

2014-01-01

Youth who switch schools are more likely to demonstrate a wide array of negative behavioral and educational outcomes, including dropping out of high school. However, whether switching schools actually puts youth at risk for dropout is uncertain, since youth who switch schools are similar to dropouts in their levels of prior school achievement and engagement, which suggests that switching schools may be part of the same long-term developmental process of disengagement that leads to dropping out. Using data from the National Longitudinal Survey of Youth 1997, this study uses propensity score matching to pair youth who switched high schools with similar youth who stayed in the same school. We find that while over half the association between switching schools and dropout is explained by observed characteristics prior to 9th grade, switching schools is still associated with dropout. Moreover, the relationship between switching schools and dropout varies depending on a youth's propensity for switching schools. PMID:25554706

Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study

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Andersson, Helle Wessel; Steinsbekk, Aslak; Walderhaug, Espen; Otterholt, Eli; Nordfjærn, Trond

2018-01-01

Introduction: Dropout from inpatient treatment for substance use disorder (SUD) is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. Materials and methods: A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. Results: A total of 132 patients (28%) did not complete the planned treatment stay (dropped out). Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79). Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97). Conclusions: The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies. PMID:29531472

Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study

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Helle Wessel Andersson

2018-02-01

Full Text Available Introduction: Dropout from inpatient treatment for substance use disorder (SUD is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. Materials and methods: A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. Results: A total of 132 patients (28% did not complete the planned treatment stay (dropped out. Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79. Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97. Conclusions: The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies.

Psychological Treatment as Part of Dropout Prevention: An Israeli Program

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Schwartz, Hava; Hain, Rebecca

2014-01-01

This article reports on the integration of psychotherapy in a comprehensive dropout prevention program developed at the Dean of Students' office of Ben-Gurion University of the Negev in Israel. The program's psychologists conducted psychotherapy with a subset of dropout prevention program participants who had reacted with emotional turmoil to the…

Young adults' reasons for dropout from residential substance use disorder treatment.

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Nordheim, Kristoffer; Walderhaug, Espen; Alstadius, Ståle; Kern-Godal, Ann; Arnevik, Espen; Duckert, Fanny

2018-01-01

Dropout from substance use disorder treatment is usually investigated and understood from a perspective of quantitative patient-related factors. Patients' own perspectives (user perspective) are rarely reported. This study, therefore, aimed to explore patients' own understanding of their dropout from residential substance use disorder treatment. The participants were 15 males and females, aged 19-29 years, who had dropped out of residential substance use disorder treatment at the Department of Addiction Treatment, Oslo University Hospital, Norway. Qualitative methodology with semistructured interviews was used to explore how the participants described their dropout and their reasons for doing so. Thematic analysis was used as the framework for analyzing the data derived from the interviews. Dropout had different meanings for different participants. It was understood as a break from treatment, as an end to treatment, or as a means of reduced treatment intensity . Against that background, four main themes for dropout were found: drug craving , negative emotions , personal contact, and activity . Patient and treatment factors seem to interact when participants explore reasons for their dropout. A complex pattern of variables is involved. As remedies, participants suggested that substance use disorder treatment should provide more focus on drug craving and training to understand and tolerate emotional discomfort. They also wanted closer contact with the staff during treatment, more activities, and rigorous posttreatment follow-up. These findings from the user perspective have important implications for substance use disorder treatment, clinical and social work practice, management, and research.

Effect of child marriage on girls' school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014.

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Kazutaka Sekine

Full Text Available School dropout and child marriage are interrelated outcomes that have an enormous impact on adolescent girls. However, the literature reveals gaps in the empirical evidence on the link between child marriage and the dropout of girls from school. This study identifies the 'tipping point' school grades in Nepal when the risk of dropout due to marriage is highest, measures the effect of child marriage on girls' school dropout rates, and assesses associated risk factors. Weighted percentages were calculated to examine the grades at highest risk and the distribution of reasons for discontinuing school. Using the Nepal Multiple Indicator Cluster Survey (MICS 2014 data, we estimated the effect of marriage on school attendance and dropout among girls aged 15-17 by constructing logistic regression models. A multivariate logistic regression model was used to assess risk factors of school dropout due to child marriage. It was found that early marriage is the most common reason given for leaving school. Overall, the risk of school dropout due to marriage heightens after girls complete the fifth or sixth grade. The risk of girls' dropping out peaks in the seventh and eighth grades and remains noteworthy in the ninth and tenth grades. Married girls in Nepal are 10 times more likely to drop out than their unmarried peers. Little or no education of the household head, belonging to the Kirat religion, and membership of a traditionally disadvantaged social class each elevate the risk of school dropout due to early marriage. The findings underscore the need to delay girl's marriage so as to reduce girls' school dropout in Nepal. School-based programmes aimed at preventing child marriage should target girls from the fifth grade because they are at increased risk of dropping out, as well as prioritizing girls from disadvantaged groups.

Allelic drop-out probabilities estimated by logistic regression--Further considerations and practical implementation

DEFF Research Database (Denmark)

Tvedebrink, Torben; Eriksen, Poul Svante; Asplund, Maria

2012-01-01

We discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. [7] and the concerns, that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out...... is occurring. With this discussion, we hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. We discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions....

Comorbidities and Psychosocial Characteristics as Determinants of Dropout in Outpatient Cardiac Rehabilitation.

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Pardaens, Sofie; De Smedt, Delphine; De Bacquer, Dirk; Willems, Anne-Marie; Verstreken, Sofie; De Sutter, Johan

Despite the clear benefits of cardiac rehabilitation (CR), a considerable number of patients drop out early. Therefore, we wanted to evaluate dropout in CR with a special focus on comorbidities and psychosocial background. Patients who attended CR after acute coronary syndrome, cardiac surgery, or heart failure (N = 489) were prospectively included. Dropout was defined as attending 50% of the training sessions or less (n = 96 [20%]). Demographic and clinical characteristics, exercise parameters, and psychosocial factors were analyzed according to dropout, and those with a trend toward a significant difference (P dropout, and a comparable trend was seen for the presence of chronic obstructive pulmonary disease (2.55 [0.99-6.54]). Attending the training program only twice per week also implicated a higher risk of an early withdrawal (3.76 [2.23-6.35]). In contrast, patients on β-blockers were less likely to withdraw prematurely (0.47 [0.22-0.98]). Singles were more likely to drop out (2.89 [1.56-5.35]), as well as those patients who were dependent on others to get to CR (2.01 [1.16-3.47]). Finally, the reporting of severe problems on the anxiety/depression subscale of the EuroQOL-5D questionnaire involved a higher odds for dropout (7.17 [1.46-35.29]). Neither demographic characteristics nor clinical status or exercise capacity could independently identify patients who were at risk of dropout. The presence of comorbidities and a vulnerable psychosocial background rather seem to play a key role in dropout.

Addition by Subtraction: The Relation Between Dropout Rates and School-Level Academic Achievement

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GLENNIE, ELIZABETH; BONNEAU, KARA; VANDELLEN, MICHELLE; DODGE, KENNETH A.

2013-01-01

Background/Context Efforts to improve student achievement should increase graduation rates. However, work investigating the effects of student-level accountability has consistently demonstrated that increases in the standards for high school graduation are correlated with increases in dropout rates. The most favored explanation for this finding is that high-stakes testing policies that mandate grade repetition and high school exit exams may be the tipping point for students who are already struggling academically. These extra demands may, in fact, push students out of school. Purpose/Objective/Focus This article examines two hypotheses regarding the relation between school-level accountability and dropout rates. The first posits that improvements in school performance lead to improved success for everyone. If school-level accountability systems improve a school for all students, then the proportion of students performing at grade level increases, and the dropout rate decreases. The second hypothesis posits that schools facing pressure to improve their overall accountability score may pursue this increase at the cost of other student outcomes, including dropout rate. Research Design Our approach focuses on the dynamic relation between school-level academic achievement and dropout rates over time—that is, between one year’s achievement and the subsequent year’s dropout rate, and vice versa. This article employs longitudinal data of records on all students in North Carolina public schools over an 8-year period. Analyses employ fixed-effects models clustering schools and districts within years and controls each year for school size, percentage of students who were free/reduced-price lunch eligible, percentage of students who are ethnic minorities, and locale. Findings/Results This study finds partial evidence that improvements in school-level academic performance will lead to improvements (i.e., decreases) in school-level dropout rates. Schools with improved

Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

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Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic

2014-01-01

This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…

Barriers for Nonparticipation and Dropout of Women in Cardiac Rehabilitation Programs: A Systematic Review.

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Resurrección, Davinia M; Motrico, Emma; Rigabert, Alina; Rubio-Valera, Maria; Conejo-Cerón, Sonia; Pastor, Luis; Moreno-Peral, Patricia

2017-08-01

Cardiovascular disease (CVD) is a major health problem worldwide. Cardiac rehabilitation (CR) programs are effective in reducing mortality and improving the quality of life of patients with CVD. Women are under-represented in CR and have a higher dropout rate than men. We aimed to systematically review the literature on barriers perceived by women with CVD affecting their nonparticipation in and/or dropping out from CR programs. Systematic review was done using MEDLINE, Embase, Scopus, Open Grey, and Cochrane Database from inception to September 2016. Search terms included (1) heart disease and other cardiac conditions, (2) CR and secondary prevention, and (3) nonparticipation in and/or dropout. Databases were searched following the "participants, interventions, comparisons, outcomes, and study design" method. A total of 24 studies (17 descriptive, 6 qualitative, and 1 randomized controlled trial) reporting several barriers were grouped into five broad categories: intrapersonal barriers (self-reported health, health beliefs, lack of time, motivation, and religious reasons); interpersonal barriers (lack of family/social support and work conflicts); logistical barriers (transport, distance, and availability of personal/community resources); CR program barriers (services offered, group format, exercise component, and CR sessions); and health system barriers (lack of referral, cost, negative experiences with the health system, and language). We found differences between the barriers related to nonparticipation in and dropout from CR programs. Women reported multilevel barriers for nonparticipation in and dropout from CR programs. Future clinical guidelines should evaluate and eliminate these barriers to improve adherence to CR programs in women. In addition, understanding the barriers for nonparticipation and dropout may be beneficial for future intervention trials.

Comparison of Personal, Social and Academic Variables Related to University Drop-out and Persistence.

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Bernardo, Ana; Esteban, María; Fernández, Estrella; Cervero, Antonio; Tuero, Ellián; Solano, Paula

2016-01-01

Dropping out of university has serious consequences not only for the student who drops out but also for the institution and society as a whole. Although this phenomenon has been widely studied, there is a need for broader knowledge of the context in which it occurs. Yet research on the subject often focuses on variables that, although they affect drop-out rates, lie beyond a university's control. This makes it hard to come up with effective preventive measures. That is why a northern Spanish university has undertaken a ex post facto holistic research study on 1,311 freshmen (2008/9, 2009/10, and 2010/11 cohorts). The study falls within the framework of the ALFA-GUIA European Project and focuses on those drop-out factors where there is scope for taking remedial measures. This research explored the possible relationship of degree drop-out and different categories of variables: variables related to the educational stage prior to university entry (path to entry university and main reason for degree choice), variables related to integration and coexistence at university (social integration, academic integration, relationships with teachers/peers and value of the living environment) financial status and performance during university studies (in terms of compliance with the program, time devoted to study, use of study techniques and class attendance). Descriptive, correlational and variance analyses were conducted to discover which of these variables really distinguish those students who drop-out from their peers who complete their studies. Results highlight the influence of vocation as main reason for degree choice, path to university entry, financial independency, social and academic adaptation, time devoted to study, use of study techniques and program compliance in the studied phenomenon.

DETERMINANT FACTORS FOR UNDERGRADUATE STUDENT’S DROPOUT IN AN ACCOUNTING STUDIES DEPARTMENT OF A BRAZILIAN PUBLIC UNIVERSITY

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Samuel de Oliveira Durso

2018-05-01

Full Text Available ABSTRACT: The purpose of this article was to identify explanatory factors for undergraduate student’s dropout from the Accounting program of a Brazilian public university. The theoretical platform that guided the study was formulated using three evasion models related to higher education. The survey database consisted of socioeconomic and demographic information of 371 students. The research used quantitative and qualitative methodologies to reach the proposed goal. Quantitative data analysis was performed through logistic regression. The model proposed by the study was able to accurately predict 77% of the cases of dropout/completion from the sample. The qualitative step was based on five semi-structured interviews with those in the sample who dropped out of their studies. The findings of the research have helped understand the phenomenon of undergraduate student dropout from the Accounting program and stresses the importance of rethinking public policies for the retention of talent and, especially, of those students who depend on their work to maintain their studies.

Superior memory efficiency of quantum devices for the simulation of continuous-time stochastic processes

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Elliott, Thomas J.; Gu, Mile

2018-03-01

Continuous-time stochastic processes pervade everyday experience, and the simulation of models of these processes is of great utility. Classical models of systems operating in continuous-time must typically track an unbounded amount of information about past behaviour, even for relatively simple models, enforcing limits on precision due to the finite memory of the machine. However, quantum machines can require less information about the past than even their optimal classical counterparts to simulate the future of discrete-time processes, and we demonstrate that this advantage extends to the continuous-time regime. Moreover, we show that this reduction in the memory requirement can be unboundedly large, allowing for arbitrary precision even with a finite quantum memory. We provide a systematic method for finding superior quantum constructions, and a protocol for analogue simulation of continuous-time renewal processes with a quantum machine.

Pharmacogenetic analysis of opioid dependence treatment dose and dropout rate.

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Crist, Richard C; Li, James; Doyle, Glenn A; Gilbert, Alex; Dechairo, Bryan M; Berrettini, Wade H

2018-01-01

Currently, no pharmacogenetic tests for selecting an opioid-dependence pharmacotherapy have been approved by the US Food and Drug Administration. Determine the effects of variants in 11 genes on dropout rate and dose in patients receiving methadone or buprenorphine/naloxone (ClinicalTrials.gov Identifier: NCT00315341). Variants in six pharmacokinetic genes (CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP2D6, CYP3A4) and five pharmacodynamic genes (HTR2A, OPRM1, ADRA2A, COMT, SLC6A4) were genotyped in samples from a 24-week, randomized, open-label trial of methadone and buprenorphine/naloxone for the treatment of opioid dependence (n = 764; 68.7% male). Genotypes were then used to determine the metabolism phenotype for each pharmacokinetic gene. Phenotypes or genotypes for each gene were analyzed for association with dropout rate and mean dose. Genotype for 5-HTTLPR in the SLC6A4 gene was nominally associated with dropout rate when the methadone and buprenorphine/naloxone groups were combined. When the most significant variants associated with dropout rate were analyzed using pairwise analyses, SLC6A4 (5-HTTLPR) and COMT (Val158Met; rs4860) had nominally significant associations with dropout rate in methadone patients. None of the genes analyzed in the study was associated with mean dose of methadone or buprenorphine/naloxone. This study suggests that functional polymorphisms related to synaptic dopamine or serotonin levels may predict dropout rates during methadone treatment. Patients with the S/S genotype at 5-HTTLPR in SLC6A4 or the Val/Val genotype at Val158Met in COMT may require additional treatment to improve their chances of completing addiction treatment. Replication in other methadone patient populations will be necessary to ensure the validity of these findings.

Aggressive Students and High School Dropout: An Event History Analysis

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Orozco, Steven R.

2016-01-01

Aggressive students often struggle in multiple domains of their school functioning and are at increased risk for high school dropout. Research has identified a variety of warning flags which are strong predictors of high school dropout. While it is known that aggressive students exhibit many of these warning flags, there is little research which…

Predicting dropout in outpatient dialectical behavior therapy with patients with borderline personality disorder receiving psychiatric disability.

Science.gov (United States)

Landes, Sara J; Chalker, Samantha A; Comtois, Katherine Anne

2016-01-01

Rates of treatment dropout in outpatient Dialectical Behavior Therapy (DBT) in the community can be as high as 24 % to 58 %, making dropout a great concern. The primary purpose of this article was to examine predictors of dropout from DBT in a community mental health setting. Participants were 56 consumers with borderline personality disorder (BPD) who were psychiatrically disabled participating in a larger feasibility trial of Dialectical Behavior Therapy- Accepting the Challenges of Exiting the System. The following variables were examined to see whether they predicted dropout in DBT: age, education level, baseline level of distress, baseline level of non-acceptance of emotional responses, and skills module in which a consumer started DBT skills group. These variables were chosen based on known predictors of dropout in consumers with BPD and in DBT, as well as an interest in what naturally occurring variables might impact dropout. The dropout rate in this sample was 51.8 %. Results of the logistic regression show that younger age, higher levels of baseline distress, and a higher level of baseline non-acceptance of emotional responses were significantly associated with dropout. The DBT skills module in which an individual started group did not predict dropout. The implications of these findings are that knowledge of consumer age and pretreatment levels of distress and non-acceptance of emotional responses can impact providers' choice of commitment and treatment strategies to reduce dropout. Future research should examine these strategies, as well as the impact of predictor variables on outcome and reasons for dropout.

High School Dropouts: Interactions between Social Context, Self-Perceptions, School Engagement, and Student Dropout

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Fall, Anna-Maria; Roberts, Greg

2012-01-01

Research suggests that contextual, self-system, and school engagement variables influence dropping out from school. However, it is not clear how different types of contextual and self-system variables interact to affect students' engagement or contribute to decisions to dropout from high school. The self-system model of motivational development…

Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy.

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Suh, Min Hee; Zangwill, Linda M; Manalastas, Patricia Isabel C; Belghith, Akram; Yarmohammadi, Adeleh; Akagi, Tadamichi; Diniz-Filho, Alberto; Saunders, Luke; Weinreb, Robert N

2018-04-01

To investigate the association between the microstructure of β-zone parapapillary atrophy (βPPA) and parapapillary deep-layer microvasculature dropout assessed by optical coherence tomography angiography (OCT-A). Thirty-seven eyes with βPPA devoid of the Bruch's membrane (BM) (γPPA) ranging between completely absent and discontinuous BM were matched by severity of the visual field (VF) damage with 37 eyes with fully intact BM (βPPA+BM) based on the spectral-domain (SD) OCT imaging. Parapapillary deep-layer microvasculature dropout was defined as a dropout of the microvasculature within choroid or scleral flange in the βPPA on the OCT-A. The widths of βPPA, γPPA, and βPPA+BM were measured on six radial SD-OCT images. Prevalence of the dropout was compared between eyes with and without γPPA. Logistic regression was performed for evaluating association of the dropout with the width of βPPA, γPPA, and βPPA+BM, and the γPPA presence. Eyes with γPPA had significantly higher prevalence of the dropout than did those without γPPA (75.7% versus 40.8%; P = 0.004). In logistic regression, presence and longer width of the γPPA, worse VF mean deviation, and presence of focal lamina cribrosa defects were significantly associated with the dropout (P 0.10). Parapapillary deep-layer microvasculature dropout was associated with the presence and larger width of γPPA, but not with the βPPA+BM width. Presence and width of the exposed scleral flange, rather than the retinal pigmented epithelium atrophy, may be associated with deep-layer microvasculature dropout.

DROPOUT OF DIRECTIONAL ELECTRON INTENSITIES IN LARGE SOLAR ENERGETIC PARTICLE EVENTS

Energy Technology Data Exchange (ETDEWEB)

Tan, Lun C. [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States); Reames, Donald V., E-mail: ltan@umd.edu [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)

2016-01-10

In the “gradual” solar energetic particle (SEP) event during solar cycle 23 we have observed the dispersionless modulation (“dropout”) in directional intensities of nonrelativistic electrons. The average duration of dropout periods is ∼0.8 hr, which is consistent with the correlation scale of solar wind turbulence. During the dropout period electrons could display scatter-free transport in an intermittent way. Also, we have observed a decrease in the anisotropic index of incident electrons with increasing electron energy (E{sub e}), while the index of scattered/reflected electrons is nearly independent of E{sub e}. We hence perform an observational examination of the correlation between the anisotropic index of low-energy scattered/reflected electrons and the signature of the locally measured solar wind turbulence in the dissipation range, which is responsible for resonant scattering of nonrelativistic electrons. Since during the dropout period the slab turbulence fraction is dominant (0.8 ± 0.1), we pay close attention to the effect of slab fraction on the correlation examined. Our observation is consistent with the simulation result that in the dominance of the slab turbulence component there should exist a dispatched structure of magnetic flux tubes, along which electrons could be transported in a scatter-free manner. Since a similar phenomenon is exhibited in the “impulsive” SEP event, electron dropout should be a transport effect. Therefore, being different from most ion dropout events, which are due to a compact flare source, the dropout of directional electron intensities should be caused by the change of turbulence status in the solar wind.

DROPOUT OF DIRECTIONAL ELECTRON INTENSITIES IN LARGE SOLAR ENERGETIC PARTICLE EVENTS

International Nuclear Information System (INIS)

Tan, Lun C.; Reames, Donald V.

2016-01-01

In the “gradual” solar energetic particle (SEP) event during solar cycle 23 we have observed the dispersionless modulation (“dropout”) in directional intensities of nonrelativistic electrons. The average duration of dropout periods is ∼0.8 hr, which is consistent with the correlation scale of solar wind turbulence. During the dropout period electrons could display scatter-free transport in an intermittent way. Also, we have observed a decrease in the anisotropic index of incident electrons with increasing electron energy (E e ), while the index of scattered/reflected electrons is nearly independent of E e . We hence perform an observational examination of the correlation between the anisotropic index of low-energy scattered/reflected electrons and the signature of the locally measured solar wind turbulence in the dissipation range, which is responsible for resonant scattering of nonrelativistic electrons. Since during the dropout period the slab turbulence fraction is dominant (0.8 ± 0.1), we pay close attention to the effect of slab fraction on the correlation examined. Our observation is consistent with the simulation result that in the dominance of the slab turbulence component there should exist a dispatched structure of magnetic flux tubes, along which electrons could be transported in a scatter-free manner. Since a similar phenomenon is exhibited in the “impulsive” SEP event, electron dropout should be a transport effect. Therefore, being different from most ion dropout events, which are due to a compact flare source, the dropout of directional electron intensities should be caused by the change of turbulence status in the solar wind

Comparison of Urban and Rural Dropout Rates of Distance Students

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de Hart, K. L.; Venter J. M. P.

2013-01-01

South Africa has one of the highest university dropout rates in the world. As a country, it also has a history of forced location and the withholding of resources, including quality education, from certain rural areas. This study investigates, the effect of urbanization (of the area in which a student resides) on the dropout rate of distance…

Predictors of dropout in concurrent treatment of posttraumatic stress disorder and alcohol dependence: Rate of improvement matters.

Science.gov (United States)

Zandberg, Laurie J; Rosenfield, David; Alpert, Elizabeth; McLean, Carmen P; Foa, Edna B

2016-05-01

The present study examined predictors and moderators of dropout among 165 adults meeting DSM-IV criteria for posttraumatic stress disorder (PTSD) and alcohol dependence (AD). Participants were randomized to 24 weeks of naltrexone (NAL), NAL and prolonged exposure (PE), pill placebo, or pill placebo and PE. All participants received supportive AD counseling (the BRENDA manualized model). Logistic regression using the Fournier approach was conducted to investigate baseline predictors of dropout across the entire study sample. Rates of PTSD and AD symptom improvement were included to evaluate the impact of symptom change on dropout. Trauma type and rates of PTSD and AD improvement significantly predicted dropout, accounting for 76% of the variance in dropout. Accidents and "other" trauma were associated with the highest dropout, and physical assault was associated with the lowest dropout. For participants with low baseline PTSD severity, faster PTSD improvement predicted higher dropout. For those with high baseline severity, both very fast and very slow rates of PTSD improvement were associated with higher dropout. Faster rates of drinking improvement predicted higher dropout among participants who received PE. The current study highlights the influence of symptom trajectory on dropout risk. Clinicians may improve retention in PTSD-AD treatments by monitoring symptom change at regular intervals, and eliciting patient feedback on these changes. Copyright © 2016 Elsevier Ltd. All rights reserved.

Predictors of dropout in concurrent treatment of posttraumatic stress disorder and alcohol dependence: Rate of improvement matters

Science.gov (United States)

Zandberg, Laurie J.; Rosenfield, David; Alpert, Elizabeth; McLean, Carmen P.; Foa, Edna B.

2016-01-01

Objective The present study examined predictors and moderators of dropout among 165 adults meeting DSM-IV criteria for posttraumatic stress disorder (PTSD) and alcohol dependence (AD). Participants were randomized to 24 weeks of naltrexone (NAL), NAL and prolonged exposure (PE), pill placebo, or pill placebo and PE. All participants received supportive AD counseling (the BRENDA manualized model). Method Logistic regression using the Fournier approach was conducted to investigate baseline predictors of dropout across the entire study sample. Rates of PTSD and AD symptom improvement were included to evaluate the impact of symptom change on dropout. Results Trauma type and rates of PTSD and AD improvement significantly predicted dropout, accounting for 76% of the variance in dropout. Accidents and “other” trauma were associated with the highest dropout, and physical assault was associated with the lowest dropout. For participants with low baseline PTSD severity, faster PTSD improvement predicted higher dropout. For those with high baseline severity, both very fast and very slow rates of PTSD improvement were associated with higher dropout. Faster rates of drinking improvement predicted higher dropout among participants who received PE. Conclusions The current study highlights the influence of symptom trajectory on dropout risk. Clinicians may improve retention in PTSD-AD treatments by monitoring symptom change at regular intervals, and eliciting patient feedback on these changes. PMID:26972745

THE CHANGING Lyα OPTICAL DEPTH IN THE RANGE 6 < z < 9 FROM THE MOSFIRE SPECTROSCOPY OF Y-DROPOUTS

International Nuclear Information System (INIS)

Treu, Tommaso; Schmidt, Kasper B.; Trenti, Michele; Bradley, Larry D.; Stiavelli, Massimo

2013-01-01

We present the MOSFIRE spectroscopy of 13 candidate z ∼ 8 galaxies selected as Y-dropouts as part of the Brightest of Reionization Galaxies pure parallel survey. We detect no significant Lyα emission (our median 1σ rest-frame equivalent width sensitivity is in the range 2-16 Å). Using the Bayesian framework derived in a previous paper, we perform a rigorous analysis of a statistical subsample of non-detections for 10 Y-dropouts, including data from the literature, to study the cosmic evolution of the Lyα emission of Lyman break galaxies. We find that Lyα emission is suppressed at z ∼ 8 by at least a factor of three with respect to z ∼ 6 continuing the downward trend found by previous studies of z-dropouts at z ∼ 7. This finding suggests a dramatic evolution in the conditions of the intergalactic or circumgalactic media in just 300 Myr, consistent with the onset of reionization or changes in the physical conditions of the first generations of star-forming regions

Medical school dropout--testing at admission versus selection by highest grades as predictors.

Science.gov (United States)

O'Neill, Lotte; Hartvigsen, Jan; Wallstedt, Birgitta; Korsholm, Lars; Eika, Berit

2011-11-01

Very few studies have reported on the effect of admission tests on medical school dropout. The main aim of this study was to evaluate the predictive validity of non-grade-based admission testing versus grade-based admission relative to subsequent dropout. This prospective cohort study followed six cohorts of medical students admitted to the medical school at the University of Southern Denmark during 2002-2007 (n=1544). Half of the students were admitted based on their prior achievement of highest grades (Strategy 1) and the other half took a composite non-grade-based admission test (Strategy 2). Educational as well as social predictor variables (doctor-parent, origin, parenthood, parents living together, parent on benefit, university-educated parents) were also examined. The outcome of interest was students' dropout status at 2 years after admission. Multivariate logistic regression analysis was used to model dropout. Strategy 2 (admission test) students had a lower relative risk for dropping out of medical school within 2 years of admission (odds ratio 0.56, 95% confidence interval 0.39-0.80). Only the admission strategy, the type of qualifying examination and the priority given to the programme on the national application forms contributed significantly to the dropout model. Social variables did not predict dropout and neither did Strategy 2 admission test scores. Selection by admission testing appeared to have an independent, protective effect on dropout in this setting. © Blackwell Publishing Ltd 2011.

Student dropout in primary and secondary education in the Republic of Serbia

Directory of Open Access Journals (Sweden)

Krstić Ksenija

2017-01-01

Full Text Available Student dropout from school is a serious problem in educational systems all over the world. This paper will provide an overview of the various dropout definitions and their consequences for measuring and monitoring. Since a diversity of factors (individual, familial, school and systematic is connected with student attrition in foreign research, the attempt has been made to systematise their results and provide data regarding similar Serbian studies. Considering the fact that there are no systematic analyses of students’ dropout rate in Serbia, the existing data from primary and secondary schools from a variety of statistical sources will be presented. We conclude that one way to reduce dropout in Serbia is to further develop research interest in the topic, as well as the strategies for monitoring, prevention and intervention.

Predicting Dropout Using Student- and School-Level Factors: An Ecological Perspective

Science.gov (United States)

Wood, Laura; Kiperman, Sarah; Esch, Rachel C.; Leroux, Audrey J.; Truscott, Stephen D.

2017-01-01

High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…

Reexamining Gifted Underachievement and Dropout through the Lens of Student Engagement

Science.gov (United States)

Landis, Rebecca N.; Reschly, Amy L.

2013-01-01

The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…

Improving quantitative structure-activity relationship models using Artificial Neural Networks trained with dropout.

Science.gov (United States)

Mendenhall, Jeffrey; Meiler, Jens

2016-02-01

Dropout is an Artificial Neural Network (ANN) training technique that has been shown to improve ANN performance across canonical machine learning (ML) datasets. Quantitative Structure Activity Relationship (QSAR) datasets used to relate chemical structure to biological activity in Ligand-Based Computer-Aided Drug Discovery pose unique challenges for ML techniques, such as heavily biased dataset composition, and relatively large number of descriptors relative to the number of actives. To test the hypothesis that dropout also improves QSAR ANNs, we conduct a benchmark on nine large QSAR datasets. Use of dropout improved both enrichment false positive rate and log-scaled area under the receiver-operating characteristic curve (logAUC) by 22-46 % over conventional ANN implementations. Optimal dropout rates are found to be a function of the signal-to-noise ratio of the descriptor set, and relatively independent of the dataset. Dropout ANNs with 2D and 3D autocorrelation descriptors outperform conventional ANNs as well as optimized fingerprint similarity search methods.

High school dropouts: interactions between social context, self-perceptions, school engagement, and student dropout.

Science.gov (United States)

Fall, Anna-Mária; Roberts, Greg

2012-08-01

Research suggests that contextual, self-system, and school engagement variables influence dropping out from school. However, it is not clear how different types of contextual and self-system variables interact to affect students' engagement or contribute to decisions to dropout from high school. The self-system model of motivational development represents a promising theory for understanding this complex phenomenon. The self-system model acknowledges the interactive and iterative roles of social context, self-perceptions, school engagement, and academic achievement as antecedents to the decision to dropout of school. We analyzed data from the Education Longitudinal Study of 2002-2004 in the context of the self-system model, finding that perception of social context (teacher support and parent support) predicts students' self-perceptions (perception of control and identification with school), which in turn predict students' academic and behavioral engagement, and academic achievement. Further, students' academic and behavioral engagement and achievement in 10th grade were associated with decreased likelihood of dropping out of school in 12th grade. Published by Elsevier Ltd.

Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women: a systematic review.

Science.gov (United States)

Mutsaerts, M A Q; Kuchenbecker, W K H; Mol, B W; Land, J A; Hoek, A

2013-04-01

What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24% in overweight and obese infertile women who participated in a LIP; clinical useful intervention or patient-related factors associated with dropout could not be identified. Overweight and obese infertile women might improve their chance of conception when they improve their lifestyle and lose weight. Dropout from LIPs reduces the chance of losing considerable weight and is therefore considered to be an important limiting factor of the success of LIPs. This systematic review included 15 studies published between January 1980 and December 2012. The included studies investigated the effect of LIPs for overweight and obese infertile women with infertility. From these studies, dropout rates and intervention- and patient-related baseline factors associated with dropout, as well as weight loss and pregnancy rates, were recorded. There were 15 studies identified, of which 10 reported dropout rates. The median dropout rate was 24% (range: 0-31%). Four studies reported baseline characteristics of women who dropped out, but modifiable predictors of dropout could not be identified. Weight loss and pregnancy rates were lower in women who dropped out than in women who completed the LIPs. There were limited numbers of studies investigating patient-related factors associated with dropout. The heterogeneity in the studies precluded us from drawing firm conclusions on the relation between the type of intervention and dropout. Dropout from LIPs is a major drawback because it predisposes to less weight loss and lower pregnancy rates. Identification of predictors of dropout is needed to identify overweight and obese infertile women who are prone for dropout. These women might benefit from extra support and monitoring, to potentially

Enhanced low-template DNA analysis conditions and investigation of allele dropout patterns.

Science.gov (United States)

Hedell, Ronny; Dufva, Charlotte; Ansell, Ricky; Mostad, Petter; Hedman, Johannes

2015-01-01

Forensic DNA analysis applying PCR enables profiling of minute biological samples. Enhanced analysis conditions can be applied to further push the limit of detection, coming with the risk of visualising artefacts and allele imbalances. We have evaluated the consecutive increase of PCR cycles from 30 to 35 to investigate the limitations of low-template (LT) DNA analysis, applying the short tandem repeat (STR) analysis kit PowerPlex ESX 16. Mock crime scene DNA extracts of four different quantities (from around 8-84 pg) were tested. All PCR products were analysed using 5, 10 and 20 capillary electrophoresis (CE) injection seconds. Bayesian models describing allele dropout patterns, allele peak heights and heterozygote balance were developed to assess the overall improvements in EPG quality with altered PCR/CE settings. The models were also used to evaluate the impact of amplicon length, STR marker and fluorescent label on the risk for allele dropout. The allele dropout probability decreased for each PCR cycle increment from 30 to 33 PCR cycles. Irrespective of DNA amount, the dropout probability was not affected by further increasing the number of PCR cycles. For the 42 and 84 pg samples, mainly complete DNA profiles were generated applying 32 PCR cycles. For the 8 and 17 pg samples, the allele dropouts decreased from 100% using 30 cycles to about 75% and 20%, respectively. The results for 33, 34 and 35 PCR cycles indicated that heterozygote balance and stutter ratio were mainly affected by DNA amount, and not directly by PCR cycle number and CE injection settings. We found 32 and 33 PCR cycles with 10 CE injection seconds to be optimal, as 34 and 35 PCR cycles did not improve allele detection and also included CE saturation problems. We find allele dropout probability differences between several STR markers. Markers labelled with the fluorescent dyes CXR-ET (red in electropherogram) and TMR-ET (shown as black) generally have higher dropout risks compared with those

Bariatric surgery insurance requirements independently predict surgery dropout.

Science.gov (United States)

Love, Kaitlin M; Mehaffey, J Hunter; Safavian, Dana; Schirmer, Bruce; Malin, Steven K; Hallowell, Peter T; Kirby, Jennifer L

2017-05-01

Many insurance companies have considerable prebariatric surgery requirements despite a lack of evidence for improved clinical outcomes. The hypothesis of this study is that insurance-specific requirements will be associated with a decreased progression to surgery and increased delay in time to surgery. Retrospective data collection was performed for patients undergoing bariatric surgery evaluation from 2010-2015. Patients who underwent surgery (SGY; n = 827; mean body mass index [BMI] 49.1) were compared with those who did not (no-SGY; n = 648; mean BMI: 49.4). Univariate and multivariate analysis were performed to identify specific co-morbidity and insurance specific predictors of surgical dropout and time to surgery. A total of 1475 patients using 12 major insurance payors were included. Univariate analysis found insurance requirements associated with surgical drop out included longer median diet duration (no-SGY = 6 mo; SGY = 3 mo; Psurgery dropout. Additionally, surgical patients had an average interval between initial visit and surgery of 5.8±4.6 months with significant weight gain (2.1 kg, Psurgery insurance requirements were associated with lack of patient progression to surgery in this study. In addition, delays in surgery were associated with preoperative weight gain. Although prospective and multicenter studies are needed, these findings have major policy implications suggesting insurance requirements may need to be reconsidered to improve medical care. Copyright © 2017 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

Drop-out from a drug treatment clinic and associated reasons.

Science.gov (United States)

Hoseinie, Leila; Gholami, Zhaleh; Shadloo, Behrang; Mokri, Azarakhsh; Amin-Esmaeili, Masoumeh; Rahimi-Movaghar, Afarin

2017-05-01

The aim of this study was to assess drop-out rates and associated reasons among patients at the Iranian National Center for Addiction Studies (INCAS) clinic. In a one-year period (April 2014 to March 2015), all patients with drug dependence who had been referred for treatment and attended for a first assessment were included in this study (N=242). Those who received treatment were followed until March 2016. Survival analysis showed that 70.2% had dropped out from treatment. Log rank test showed that treatment drop-out rates differed between the different approaches used (P < 0.001), with the lowest slope inbuprenorphine maintenance treatment and the highest in the detoxification programme. Drop-out rates within the first three months was 62% (SE= 0.05) and 82.4% (SE=0.03) for opioids and stimulants dependence, respectively. Analyses were performed using SPSS (Version 21.0) and STATA software, (version 13.0). From the patients' perspective, motivational inconsistencies were considered as the main reason for not starting or leaving treatment. The findings of this study could give service providers a better grasp of drop-out rates and the associated reasons.

A Comparative Study of Dropout Rates and Causes for Two Different Distance Education Courses

Directory of Open Access Journals (Sweden)

Christos Pierrakeas

2004-08-01

Full Text Available This paper reports the results of a survey conducted to examine the root causes leading to student dropout at a Greek distance education university. Data was gathered from two different courses – an undergraduate course leading to a Bachelors degree in Informatics (characterized by high dropout rates, and a postgraduate course leading to a Masters degree in education (characterized by low dropout rates. A comparative analysis of these two different courses revealed important similarities in dropout percentages and the reasons cited by students for dropping out. Our analysis also revealed important differences as well. This paper presents the results of a survey designed to investigate the relationship between dropout with intrinsic (student-related factors such as sickness, work/ school conflict etc., and extrinsic (institutional-related factors such as study methods and materials, educational approach, and tutor influence.

Dimensions Of Basic School Dropouts In Rural Ghana: The Case Of ...

African Journals Online (AJOL)

The objective of this paper was to investigate the various dimensions of basic school dropouts in rural Ghana using the Asutifi district as a case study. The analysis of data (both quantitative and qualitative) gathered from several stakeholders of basic education in the district, revealed that the causes of school dropout were ...

Alaskan Native High School Dropouts: A Report Prepared for Project ANNA.

Science.gov (United States)

Jacobson, Desa

Presented is a summary of the Alaskan Native high school dropouts. The data collected on 180 Native Alaskan high school dropouts was taken from the regional dormitories at Nome, Kodiak, Bethel and Boarding Home programs in Anchorage, Tok, Fairbanks, Dillingham, and Ketchikan. Students who terminated for academic reasons, failed to attend school,…

STATISTIC MODEL OF DYNAMIC DELAY AND DROPOUT ON CELLULAR DATA NETWORKED CONTROL SYSTEM

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MUHAMMAD A. MURTI

2017-07-01

Full Text Available Delay and dropout are important parameters influence overall control performance in Networked Control System (NCS. The goal of this research is to find a model of delay and dropout of data communication link in the NCS. Experiments have been done in this research to a water level control of boiler tank as part of the NCS based on internet communication network using High Speed Packet Access (HSPA cellular technology. By this experiments have been obtained closed-loop system response as well as data delay and dropout of data packets. This research contributes on modeling of the NCS which is combination of controlled plant and data communication link. Another contribution is statistical model of delay and dropout on the NCS.

Distributed synthesis in continuous time

DEFF Research Database (Denmark)

Hermanns, Holger; Krčál, Jan; Vester, Steen

2016-01-01

We introduce a formalism modelling communication of distributed agents strictly in continuous-time. Within this framework, we study the problem of synthesising local strategies for individual agents such that a specified set of goal states is reached, or reached with at least a given probability....... The flow of time is modelled explicitly based on continuous-time randomness, with two natural implications: First, the non-determinism stemming from interleaving disappears. Second, when we restrict to a subclass of non-urgent models, the quantitative value problem for two players can be solved in EXPTIME....... Indeed, the explicit continuous time enables players to communicate their states by delaying synchronisation (which is unrestricted for non-urgent models). In general, the problems are undecidable already for two players in the quantitative case and three players in the qualitative case. The qualitative...

20 CFR 664.310 - When is dropout status determined, particularly for youth attending alternative schools?

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false When is dropout status determined... INVESTMENT ACT Out-of-School Youth § 664.310 When is dropout status determined, particularly for youth attending alternative schools? A school dropout is defined as an individual who is no longer attending any...

The Effects of the Introduction of Bachelor Degrees on College Enrollment and Dropout Rates

Science.gov (United States)

Horstschräer, Julia; Sprietsma, Maresa

2015-01-01

We estimate the short-term effects of the introduction of the Bachelor degree system in Germany, a change in degree regulations such that students need less time to earn a first degree, on college enrollment and dropout rates. We use variation in the timing of the reform at the university department level to identify the effects of the reform…

ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION

Directory of Open Access Journals (Sweden)

A. Saranya

2016-01-01

Full Text Available Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students. In this paper, we have collected different database from various colleges, among these 500 best real attributes are identified in order to identify the factor that affecting dropout students using neural based classification algorithm and different mining technique are implemented for data processing. We also propose a Dropout Prediction Algorithm (DPA using fuzzy logic and Logistic Regression based inference system because the weighted average will improve the performance of whole system. We are experimented our proposed work with all other classification systems and documented as the best outcomes. The aggregated data is given to the decision trees for better dropout prediction. The accuracy of overall system 98.6% it shows the proposed work depicts efficient prediction.

ACE/SWICS OBSERVATIONS OF HEAVY ION DROPOUTS WITHIN THE SOLAR WIND

Energy Technology Data Exchange (ETDEWEB)

Weberg, Micah J. [PhD Candidate in Space and Planetary Physics, 2435 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Zurbuchen, Thomas H. [Professor, Space Science and Aerospace Engineering, Associate Dean for Entrepreneurship, 2429 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Lepri, Susan T., E-mail: mjweberg@umich.edu, E-mail: thomasz@umich.edu, E-mail: slepri@umich.edu [Associate Research Scientist, 2417 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States)

2012-11-20

We present the first in situ observations of heavy ion dropouts within the slow solar wind, observed for select elements ranging from helium to iron. For iron, these dropouts manifest themselves as depletions of the Fe/H ratio by factors up to {approx}25. The events often exhibit mass-dependent fractionation and are contained in slow, unsteady wind found within a few days from known stream interfaces. We propose that such dropouts are evidence of gravitational settling within large coronal loops, which later undergo interchange reconnection and become source regions of slow, unsteady wind. Previously, spectroscopic studies by Raymond et al. in 1997 (and later Feldman et al. in 1999) have yielded strong evidence for gravitational settling within these loops. However, their expected in situ signature plasma with heavy elements fractionated by mass was not observed prior to this study. Using data from the SWICS instrument on board the Advanced Composition Explorer (ACE), we investigate the composition of the solar wind within these dropouts and explore long term trends over most of a solar cycle.

ACE/SWICS OBSERVATIONS OF HEAVY ION DROPOUTS WITHIN THE SOLAR WIND

International Nuclear Information System (INIS)

Weberg, Micah J.; Zurbuchen, Thomas H.; Lepri, Susan T.

2012-01-01

We present the first in situ observations of heavy ion dropouts within the slow solar wind, observed for select elements ranging from helium to iron. For iron, these dropouts manifest themselves as depletions of the Fe/H ratio by factors up to ∼25. The events often exhibit mass-dependent fractionation and are contained in slow, unsteady wind found within a few days from known stream interfaces. We propose that such dropouts are evidence of gravitational settling within large coronal loops, which later undergo interchange reconnection and become source regions of slow, unsteady wind. Previously, spectroscopic studies by Raymond et al. in 1997 (and later Feldman et al. in 1999) have yielded strong evidence for gravitational settling within these loops. However, their expected in situ signature plasma with heavy elements fractionated by mass was not observed prior to this study. Using data from the SWICS instrument on board the Advanced Composition Explorer (ACE), we investigate the composition of the solar wind within these dropouts and explore long term trends over most of a solar cycle.

Experimental control of power dropouts by current modulation in a semiconductor laser with optical feedback

International Nuclear Information System (INIS)

Ticos, Catalin M; Andrei, Ionut R; Pascu, Mihail L; Bulinski, Mircea

2011-01-01

The injection current of an external-cavity semiconductor laser working in a regime of low-frequency fluctuations (LFFs) is modulated at several MHz. The rate of power dropouts in the laser emission is correlated with the amplitude and frequency of the modulating signal. The occurrence of dropouts becomes more regular when the laser is driven at 7 MHz, which is close to the dominant frequency of dropouts in the solitary laser. Driving the laser at 10 MHz also induces dropouts with a periodicity of 0.1 μs, resulting in LFFs with two dominant frequencies.

An Examination of Dropout in the Online, Computer-conferenced Classroom

OpenAIRE

Giles, Inez Marie

1999-01-01

Three questions guided this research study: a) Is Goal Accomplishment Style, as measured by Atman's Goal Orientation Index (GOI), related to persistence and dropout in an online, computer-conferenced class? b) Is there a relationship between other selected variables (Demographic, Personal, Institutional, and Participative) and student persistence or dropout in the online, computer-conferenced environment? And, c) Can a relationship between goal accomplishment style and the other selected stud...

Dropouts, spreading, and squeezing of solar particle distributions and space weather variability

Science.gov (United States)

Matthaeus, W. H.; Ruffolo, D. J.; Seripienlert, A.; Tooprakai, P.; Chuychai, P.

2015-12-01

In the past 15 years, observations and theories concerning dropouts of solar energetic particles have made it clear that the lateral spread of field lines and particles from a given location near the Sun is not a purely diffusive process. Particles of low energy from impulsive solar events exhibit abrupt changes in flux (dropouts) due to filamentation of magnetic connection from the Sun, indicating that magnetic flux tube-like structures at least partially persist to Earth orbit. Our simulations based on a corresponding spherical two-component model of Alfvénic (slab) and 2D magnetic fluctuations indicate that such particles mostly follow field lines, which spread over ˜25° at Earth orbit, and exhibit dropout features. On the other hand, gradual solar events are of practical interest because they can produce greatly enhanced high-energy ion fluxes, which can cause radiation damage to satellites, spacecraft, and astronauts. While gradual events do not exhibit dropouts in the above sense, we show that the distribution of high-energy (E≥1 GeV) protons is squeezed toward magnetic flux tube-like structures with a specific polarity due to the structures' conical shape. Since it is difficult to observationally determine what polarity of flux structure the Earth is in at a given time, this transport phenomenon contributes to event-to-event variability in ground level enhancements of GeV-range ions from solar storms, presenting a fundamental uncertainty in space weather prediction. Partially supported by the Thailand Research Fund (Grant BRG5880009), a Postdoctoral Fellowship from the Thailand Center of Excellence in Physics, a Research Fellowship from the Faculty of Science at Mahidol University, the U.S. NSF (AGS-1063439 and SHINE AGS-1156094), NASA (Heliophysics Theory NNX14AI63G, and LWS NNX15AB88G), and the Solar Probe Plus/ISIS project (D99031L).

Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout.

Science.gov (United States)

Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela; Moga, Daniela C; Allore, Heather

2018-04-18

ABSTRACTBackground:Longitudinal studies of older adults are characterized by high dropout rates, multimorbid conditions, and multiple medication use, especially proximal to death. We studied the association between multiple medication use and incident dementia diagnoses including Alzheimer's disease (AD), vascular dementia (VD), and Lewy-body dementia (LBD), simultaneously accounting for dropout. Using the National Alzheimer's Coordinating Center data with three years of follow-up, a set of covariate-adjusted models that ignore dropout was fit to complete-case data, and to the whole-cohort data. Additionally, covariate-adjusted joint models with shared random effects accounting for dropout were fit to the whole-cohort data. Multiple medication use was defined as polypharmacy (⩾ five medications), hyperpolypharmacy (⩾ ten medications), and total number of medications. Incident diagnoses were 2,032 for AD, 135 for VD, and 139 for LBD. Percentages of dropout at the end of follow-up were as follows: 71.8% for AD, 81.5% for VD, and 77.7% for LBD. The odds ratio (OR) estimate for hyperpolypharmacy among those with LBD versus AD was 2.19 (0.78, 6.15) when estimated using complete-case data and 3.00 (1.66, 5.40) using whole-cohort data. The OR reduced to 1.41 (0.76, 2.64) when estimated from the joint model accounting for dropout. The OR for polypharmacy using complete-case data differed from the estimates using whole-cohort data. The OR for dementia diagnoses on total number of medications was similar, but non-significant when estimated using complete-case data. Reasons for dropout should be investigated and appropriate statistical methods should be applied to reduce bias in longitudinal studies among high-risk dementia cohorts.

An Exploration of Students' Own Explanations about Dropout in Vocational Education in a Danish Context

Science.gov (United States)

Tanggaard, Lene

2013-01-01

The present paper addresses the phenomenon of student dropout from vocational education in Denmark. It does so by addressing the need to critically discuss the term "drop-out" taking the perspective of students' own reflections on the topic. The empirical findings indicate that dropout is considered in terms of two very different, but…

Is Drop-Out from University Dependent on National Culture and Policy? The Case of Denmark

Science.gov (United States)

Troelsen, Rie; Laursen, Per F.

2014-01-01

National cultures are known to influence educational institutions and practices in many ways. It therefore seems reasonable to assume that drop-out from university is also influenced by differences in national cultures. In this article, we compare drop-out from Danish universities with drop-out from European universities. Based on Danish national…

The Meaning of School from Dropout's View Point (A Phenomenological Study)

Science.gov (United States)

Habibi; Setiawan, Cally

2017-01-01

Student dropouts are complex problems in Indonesia. Some of the dropouts living in rural areas have migrated to the large cities. It contributes to the child labor growth which is already one the major problems in Indonesia. Knowledge about the meaning of school from their perspective could be helpful for policy and programs related to dropout…

Emotional variables, dropout and academic performance in Spanish nursing students.

Science.gov (United States)

Roso-Bas, Fátima; Pades Jiménez, Antonia; García-Buades, Esther

2016-02-01

The dropout of university studies is a main concern in many countries, also for Health Sciences degrees. The reviews on dropout in all university degrees as well as nursing generally show multidimensional causes with factors related both to institutional and students' characteristics. Regarding the personal variables of students, researchers have focused on financial, family and personality features. Far less attention has been devoted to emotional variables. This study aims to explore whether individual variables of the emotional domain such as perceived emotional intelligence, dispositional optimism/pessimism and depressive rumination are related and/or can predict students' intention to dropout and academic performance. Using a cross-correlational approach, data were obtained from a sample of 144 nursing students. Students with a pessimistic disposition revealed a greater tendency to drop out. The remaining variables correlated significantly with pessimism but had no predictive value on dropout. Our results suggest that students with low levels of emotional clarity and repair and high depressive rumination have pessimistic expectations, so they are more likely to leave studies. No significant results were found in relation to academic performance. We conclude with an identification of strategies to increase retention and academic success. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Determinants of University Dropouts: A Bivariate Probability Model with Sample Selection.

Science.gov (United States)

Montmarquette, Claude; Mahseredjian, Sophie; Houle, Rachel

2001-01-01

Studies determinants of university dropouts, using a longitudinal data set on student enrollments at the University of Montreal. Variables explaining persistence and dropouts are related to a nontraditional class-size effect in first-year required courses and to type of university program. Strong academic performance influences student…

When Does Premature Treatment Termination Occur? Examining Session-by-Session Dropout Among Clients with Gambling Disorder.

Science.gov (United States)

Pfund, Rory A; Peter, Samuel C; Whelan, James P; Meyers, Andrew W

2018-06-01

Premature termination challenges the successful outcomes of psychological treatments for gambling disorder. To date, research has primarily identified clients who are at particular risk for dropping out of treatment. A smaller but growing body of literature has investigated when dropout occurs. Typically, those studies have not considered improvement in psychological distress within their operationalizations of dropout and therefore may have misrepresented when dropout occurs. The current study examined when dropout occurs using an operationalization based on the criteria of attaining reliable change in a naturalistic sample of clients with gambling disorder, and the classification rates yielded from that operationalization were compared to the rates from a more common operationalization. Participants (n = 334) were clients meeting diagnostic criteria for gambling disorder at an outpatient private practice who completed a measure of psychological distress at baseline and prior to each subsequent treatment session. A survival analysis was conducted to determine temporal patterns of treatment dropout (i.e., clients who discontinued treatment before realizing reliable changes in psychological distress) and completion (i.e., clients who discontinued treatment after realizing reliable changes in distress) at each treatment session. Forty-nine percent of clients were classified as dropouts, and the majority of those clients did so in the first few sessions. The more common operationalization of dropout classified clients as dropouts when they had improved in their distress and clients as completers when they had not improved in their distress. Discussion centers on the implications of dropout occurring at various stages of treatment and future directions.

Language Emptiness of Continuous-Time Parametric Timed Automata

DEFF Research Database (Denmark)

Benes, Nikola; Bezdek, Peter; Larsen, Kim Guldstrand

2015-01-01

Parametric timed automata extend the standard timed automata with the possibility to use parameters in the clock guards. In general, if the parameters are real-valued, the problem of language emptiness of such automata is undecidable even for various restricted subclasses. We thus focus on the case...... where parameters are assumed to be integer-valued, while the time still remains continuous. On the one hand, we show that the problem remains undecidable for parametric timed automata with three clocks and one parameter. On the other hand, for the case with arbitrary many clocks where only one......-time semantics only. To the best of our knowledge, this is the first positive result in the case of continuous-time and unbounded integer parameters, except for the rather simple case of single-clock automata....

Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study.

Science.gov (United States)

Hjorth, Cathrine F; Bilgrav, Line; Frandsen, Louise Sjørslev; Overgaard, Charlotte; Torp-Pedersen, Christian; Nielsen, Berit; Bøggild, Henrik

2016-09-15

dropout among students in vocational and higher education. Males in higher education had five times the risk of dropout when reporting poor mental health, while no such association was found for females.

Predictive factors of dropout from inpatient treatment for anorexia nervosa.

Science.gov (United States)

Roux, H; Ali, A; Lambert, S; Radon, L; Huas, C; Curt, F; Berthoz, S; Godart, Nathalie

2016-09-30

Patients with severe Anorexia Nervosa (AN) whose condition is life-threatening or who are not receiving adequate ambulatory care are hospitalized. However, 40 % of these patients leave the hospital prematurely, without reaching the target weight set in the treatment plan, and this can compromise outcome. This study set out to explore factors predictive of dropout from hospital treatment among patients with AN, in the hope of identifying relevant therapeutic targets. From 2009 to 2011, 180 women hospitalized for AN (DSM-IV diagnosis) in 10 centres across France were divided into two groups: those under 18 years (when the decision to discharge belongs to the parents) and those aged 18 years and over (when the patient can legally decide to leave the hospital). Both groups underwent clinical assessment using the Morgan & Russell Global Outcome State questionnaire and the Eating Disorders Examination Questionnaire (EDE-Q) for assessment of eating disorder symptoms and outcome. Psychological aspects were assessed via the evaluation of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS). Socio-demographic data were also collected. A number of factors identified in previous research as predictive of dropout from hospital treatment were tested using stepwise descending Cox regressions. We found that factors predictive of dropout varied according to age groups (being under 18 as opposed to 18 and over). For participants under 18, predictive factors were living in a single-parent family, severe intake restriction as measured on the "dietary restriction" subscale of the Morgan & Russell scale, and a low patient-reported score on the EDE-Q "restraint concerns" subscale. For those over 18, dropout was predicted from a low depression score on the HADS, low level of concern about weight on the EDE-Q subscale, and lower educational status. To prevent dropout from hospitalization for AN, the appropriate therapeutic measures vary according to whether

The Impact of the State-Wide and District Dropout Prevention Plans on the Dropout Rates, Graduation Rates, GED Completions, and Truancy Rates of High School Teens in Mississippi

Science.gov (United States)

Spencer, Amanda Jean Martin

2011-01-01

In 2006, as part of the compliance with the No Child Left Behind Act of 2001, Mississippi implemented a state-wide dropout prevention plan. The Mississippi Department of Education through the Office of Dropout Prevention supplied a skeletal format to serve as a guideline for all 152 individual school districts within the state. The school…

Higher dropout rate in non-native patients than in native patients in rehabilitation in The Netherlands

NARCIS (Netherlands)

Sloots, Maurits; Scheppers, Emmanuel F.; van de Weg, Frans B.; Bartels, Edien A.; Geertzen, Jan H.; Dekker, Joost; Dekker, Jaap

Dropout from a rehabilitation programme often occurs in patients with chronic nonspecific low back pain of non-native origin. However, the exact dropout rate is not known. The objective of this study was to determine the difference in dropout rate between native and non-native patients with chronic

A continuous-time/discrete-time mixed audio-band sigma delta ADC

International Nuclear Information System (INIS)

Liu Yan; Hua Siliang; Wang Donghui; Hou Chaohuan

2011-01-01

This paper introduces a mixed continuous-time/discrete-time, single-loop, fourth-order, 4-bit audio-band sigma delta ADC that combines the benefits of continuous-time and discrete-time circuits, while mitigating the challenges associated with continuous-time design. Measurement results show that the peak SNR of this ADC reaches 100 dB and the total power consumption is less than 30 mW. (semiconductor integrated circuits)

Student Dropout from the Perspectives of Junior High Counselors in Northeast Mississippi

Science.gov (United States)

Bennett, Kelly Ann

2013-01-01

I investigated fifteen junior high counselors' understandings about student dropout, particularly about identification of and interventions for students at risk for dropping out of school. As an educator, I desired to research the phenomenon of student dropout to understand how to better reach these types of students. Research is available…

A Systematic Review of Dropout from Organized Sport among Children and Youth

Science.gov (United States)

Crane, Jeff; Temple, Viviene

2015-01-01

Leisure constraints theory was used as a framework to systematically review factors associated with dropout of organized sport among children and adolescents. Keyword searches for the population, context and construct of interest (i.e. dropout) identified articles from the entire contents of the following databases: Academic Search Complete, ERIC,…

Early Onset of Distress Disorders and High-School Dropout: Prospective Evidence From a National Cohort of Australian Adolescents.

Science.gov (United States)

Butterworth, Peter; Leach, Liana S

2018-06-01

Prior research examining whether depression and anxiety lead to high-school dropout has been limited by a reliance on retrospective reports, the assessment of mental health at a single point in time (often remote from the time of high-school exit), and the omission of important measures of the social and familial environment. The present study addressed these limitations by analyzing 8 waves of longitudinal data from a cohort of Australian adolescents (n = 1,057) in the Household, Income and Labor Dynamics in Australia (HILDA) Survey (2001-2008). Respondents were followed from the age of 15 years through completion of or exit from high school. Discrete-time survival analysis was used to assess whether the early experience of a distress disorder (indicated by scores dropout, after controlling for household and parental socioeconomic characteristics and for tobacco smoking and alcohol consumption. Adolescents with a prior distress disorder had twice the odds of high-school dropout compared with those without (odds ratio = 1.99, 95% confidence interval: 1.24, 3.17). This association was somewhat attenuated but remained significant in models including tobacco and alcohol consumption (odds ratio = 1.74, 95% confidence interval: 1.74; 1.09, 2.78). These results suggest that improving the mental health of high-school students may promote better educational outcomes.

Identification of Liver Transplant Candidates with Hepatocellular Carcinoma and Very Low Dropout Risk: Implications for the Current Organ Allocation Policy

Science.gov (United States)

Mehta, Neil; Dodge, Jennifer L.; Goel, Aparna; Roberts, John P.; Hirose, Ryutaro; Yao, Francis Y.

2013-01-01

It has been shown that patients with hepatocellular carcinoma (HCC) meeting UNOS T2 (Milan) criteria are advantaged compared to patients without HCC under the current organ allocation system for liver transplant (LT). We hypothesize that within T2 HCC, there is a subgroup with a low risk of waitlist dropout, and should not receive the same listing priority. This study evaluated 398 consecutive patients with T2 HCC listed for LT with MELD exception from 2005 to 2010 at our center. Competing risk (CR) regression was used to determine predictors of dropout. Probabilities of dropout due to tumor progression or death without LT by CR analysis were 9.4% at 6 months and 19.6% at 12 months. The median time from listing to LT was 8.8 months, and from listing to dropout or death without LT was 7.2 months. Significant predictors of dropout or death without LT by multivariate CR regression included 1 tumor 3–5 cm (vs. ≤3 cm), 2 or 3 tumors, lack of a complete response to first loco-regional therapy (LRT), and high alpha-fetoprotein (AFP) after the first LRT. A subgroup (19.9%) meeting the following criteria: 1 tumor 2 to 3 cm, complete response after first LRT, and AFP ≤20 ng/mL after first LRT, had 1- and 2-year probabilities of dropout of 1.3% and 1.6%, respectively, compared to 21.6% and 26.5% for all other patients (p=0.004). In conclusion, a combination of tumor characteristics and complete response to the first LRT define a subgroup of patients with a very low risk of waitlist dropout who does not require the same listing priority. Our results may have important implications for the organ allocation policy for HCC. PMID:24285611

Factors influencing dropout rate of intermittent preventive treatment of malaria during pregnancy.

Science.gov (United States)

Doku, David Teye; Zankawah, Mumuni Mukaila; Adu-Gyamfi, Addae Boateng

2016-10-10

The burden of malaria in terms of morbidity and mortality is huge is Sub-Saharan Africa, particularly among pregnant women. Among the measures to curb down this burden include intermittent preventive treatment (IPT) and effective case management. These strategies were adopted by Ghana and implemented since 2003; however, there is still high dropout rate in IPT coverage. This study sought to investigate factors contributing to high dropout rate between IPT1 and IPT3 in the Tamale Metropolis, one of the health facilities with the highest IPT dropout rates in Ghana. Survey, in-depth interviews and short ethnographic techniques were conducted among pregnant women, antenatal care (ANC) health workers and heads of health facilities to investigate factors which account for dropout rate of intermittent treatment of malaria. Shortage of sulphadoxine pyrimethamine (SP), inadequate supply of portable water for administration of SP, unavailability of IPT during outreach services, lack of knowledge by ANC staff about the dropout rate in their area of jurisdiction and poor attitude of some health workers were identified as barriers to achieving high IPT3 coverage. Late ANC visit, provider and logistical barriers account for the women's missed opportunities to prevent malaria in pregnancy through IPT. Addressing the above barriers will contribute to saving lives and ensuring progress towards the goal of combating malaria as well as reducing maternal, neonatal and child mortalities.

Couple Therapy with Veterans: Early Improvements and Predictors of Early Dropout.

Science.gov (United States)

Fischer, Melanie S; Bhatia, Vickie; Baddeley, Jenna L; Al-Jabari, Rawya; Libet, Julian

2017-07-28

Family services within Veterans Affairs Medical Centers fulfill an important role in addressing relationship distress among Veterans, which is highly prevalent and comorbid with psychopathology. However, even for evidence-based couple therapies, effectiveness is weaker compared to controlled studies, maybe because many Veteran couples drop out early and do not reach the "active" treatment stage after the 3-4 session assessment. In order to improve outcomes, it is critical to identify couples at high risk for early dropout, and understand whether couples may benefit from the assessment as an intervention. The current study examined (a) demographics, treatment delivery mode, relationship satisfaction, and psychological symptoms as predictors of dropout during and immediately following the assessment phase, and (b) changes in relationship satisfaction during assessment. 174 couples completed questionnaires during routine intake procedures. The main analyses focused on 140 male Veterans and their female civilian partners; 36.43% dropped out during the assessment phase and 24.74% of the remaining couples immediately following the first treatment session. More severe depressive symptoms in non-Veteran partners were associated with dropout during assessment. Relationship satisfaction improved significantly during the assessment phase for couples who did not drop out, with larger gains for non-Veteran partners. No demographics or treatment delivery mode were associated with dropout. Although more research is needed on engaging couples at risk for early dropout and maximizing early benefits, the findings suggest that clinicians should attend to the civilian partner's and Veteran's depressive symptoms at intake and consider the assessment part of active treatment. © 2017 Family Process Institute.

Retrospective cohort study of the South Tyneside Exercise Referral scheme 2009-2014: Predictors of dropout and barriers to adherence

OpenAIRE

Kelly, Michael; Rae, Glen; Partington, Sarah; Dodd-Reynolds, Caroline; Caplan, Nick

2016-01-01

Background: Exercise Referral Schemes (ERS) are a prevalent method of increasing physical activity levels. However, they suffer from participant dropout and research predicting dropout or barriers to adherence is limited. This study aimed to focus upon the effect of referral characteristics on dropout, dropout predictors and whether self-reported barriers to exercise predict dropout.\\ud \\ud Methods: ERS data from 2009-2014 were retrieved for analysis. Chi squared and t-tests were used to inve...

Comparing Dropout Predictors for Two State-Level Panels Using Grade 6 and Grade 8 Data

Science.gov (United States)

Franklin, Bobby J.; Trouard, Stephen B.

2016-01-01

The purpose of this study was to examine the effectiveness of dropout predictors across time. Two state-level high school graduation panels were selected to begin with the seventh and ninth grades but end at the same time. The first panel (seventh grade) contained 29,554 students and used sixth grade predictors. The second panel (ninth grade)…

High School Dropout in Proximal Context: The Triggering Role of Stressful Life Events.

Science.gov (United States)

Dupéré, Véronique; Dion, Eric; Leventhal, Tama; Archambault, Isabelle; Crosnoe, Robert; Janosz, Michel

2018-03-01

Adolescents who drop out of high school experience enduring negative consequences across many domains. Yet, the circumstances triggering their departure are poorly understood. This study examined the precipitating role of recent psychosocial stressors by comparing three groups of Canadian high school students (52% boys; M age  = 16.3 years; N = 545): recent dropouts, matched at-risk students who remain in school, and average students. Results indicate that in comparison with the two other groups, dropouts were over three times more likely to have experienced recent acute stressors rated as severe by independent coders. These stressors occurred across a variety of domains. Considering the circumstances in which youth decide to drop out has implications for future research and for policy and practice. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.

Fast DCNN based on FWT, intelligent dropout and layer skipping for image retrieval.

Science.gov (United States)

ElAdel, Asma; Zaied, Mourad; Amar, Chokri Ben

2017-11-01

Deep Convolutional Neural Network (DCNN) can be marked as a powerful tool for object and image classification and retrieval. However, the training stage of such networks is highly consuming in terms of storage space and time. Also, the optimization is still a challenging subject. In this paper, we propose a fast DCNN based on Fast Wavelet Transform (FWT), intelligent dropout and layer skipping. The proposed approach led to improve the image retrieval accuracy as well as the searching time. This was possible thanks to three key advantages: First, the rapid way to compute the features using FWT. Second, the proposed intelligent dropout method is based on whether or not a unit is efficiently and not randomly selected. Third, it is possible to classify the image using efficient units of earlier layer(s) and skipping all the subsequent hidden layers directly to the output layer. Our experiments were performed on CIFAR-10 and MNIST datasets and the obtained results are very promising. Copyright © 2017 Elsevier Ltd. All rights reserved.

Treatment Dropout in Web-Based Cognitive Behavioral Therapy for Patients with Eating Disorders

NARCIS (Netherlands)

ter Huurne, E.D.; Postel, Marloes Gerda; de Haan, H.A.; van der Palen, Jacobus Adrianus Maria; de Jong, C.A.

2017-01-01

Treatment dropout is an important concern in eating disorder treatments as it has negative implications for patients’ outcome, clinicians’ motivation, and research studies. Our main objective was to conduct an exploratory study on treatment dropout in a two-part web-based cognitive behavioral

"Meta-Analysis of Dropout in Treatments for Posttraumatic Stress Disorder": Correction to Imel et al. (2013).

Science.gov (United States)

2016-09-01

Reports an error in "Meta-analysis of dropout in treatments for posttraumatic stress disorder" by Zac E. Imel, Kevin Laska, Matthew Jakupcak and Tracy L. Simpson ( Journal of Consulting and Clinical Psychology , 2013[Jun], Vol 81[3], 394-404). There are two errors in the Results section. Each is described alongside the corrected results. Corrections did not influence interpretation of the results. Neither the magnitude of effects nor statistical significance of any results is substantively altered. (The following abstract of the original article appeared in record 2013-01522-001.) Objective: Many patients drop out of treatments for posttraumatic stress disorder (PTSD); some clinicians believe that trauma-focused treatments increase dropout. We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). The average dropout rate was 18%, but it varied significantly across studies. Group modality and greater number of sessions, but not trauma focus, predicted increased dropout. When the meta-analysis was restricted to direct comparisons of active treatments, there were no differences in dropout. Differences in trauma focus between treatments in the same study did not predict dropout. However, trauma-focused treatments resulted in higher dropout compared with present-centered therapy (PCT), a treatment originally designed as a control but now listed as a research-supported intervention for PTSD. Dropout varies between active interventions for PTSD across studies, but variability is primarily driven by differences between studies. There do not appear to be systematic differences across active interventions when they are directly compared in the same study. The degree of clinical attention placed on the traumatic event does not appear to be a primary cause of dropout from active treatments. However, comparisons of PCT may be an exception to this general pattern, perhaps because of a restriction of

Longitudinal Examination of Aggression and Study Skills From Middle to High School: Implications for Dropout Prevention.

Science.gov (United States)

Orpinas, Pamela; Raczynski, Katherine; Hsieh, Hsien-Lin; Nahapetyan, Lusine; Horne, Arthur M

2018-03-01

High school completion provides health and economic benefits. The purpose of this study is to describe dropout rates based on longitudinal trajectories of aggression and study skills using teacher ratings. The sample consisted of 620 randomly selected sixth graders. Every year from Grade 6 to 12, a teacher completed a nationally normed behavioral rating scale. We used latent class mixture modeling to identify the trajectories. Participants followed 3 trajectories of aggression (Low, Medium Desisting, and High Desisting) and 5 trajectories of study skills (Low, Average-Low, Decreasing, Increasing, and High). Over three-quarters of the sample were in stable trajectories of study skills over time. Most students in the High Desisting Aggression group were in the Low Study Skills group, and all students in the High Study Skills group were in the Low Aggression group. The overall dropout rate was 17%, but varied dramatically across combined aggression and study skills groups, ranging from 2% to 50%. The results highlight the importance of early prevention that combines academic enhancement and behavioral management for reducing school dropout. © 2018, American School Health Association.

Continuous auditing & continuous monitoring : Continuous value?

NARCIS (Netherlands)

van Hillo, Rutger; Weigand, Hans; Espana, S; Ralyte, J; Souveyet, C

2016-01-01

Advancements in information technology, new laws and regulations and rapidly changing business conditions have led to a need for more timely and ongoing assurance with effectively working controls. Continuous Auditing (CA) and Continuous Monitoring (CM) technologies have made this possible by

78 FR 11803 - Proposed Waiver and Extension of the Project Period for the National Dropout Prevention Center...

Science.gov (United States)

2013-02-20

... the National Dropout Prevention Center for Students With Disabilities [Catalog of Federal Domestic... would enable the currently funded National Dropout Prevention Center for Students with Disabilities to... about dropout prevention for students with disabilities, and to develop a series of high-quality...

Basic school dropout in Ghana: a case study of the Amansie West ...

African Journals Online (AJOL)

In view of the increasing cost of education the persistent phenomenon of school dropout has become a constant worry to all stakeholders. The focus of this paper was to assess the trend of basic school dropout in Amansie West, a predominantly rural district in Ghana and to further determine the main causes and policy ...

Impact of Dupoto-e-Maa education project on dropout rate and academic performance

Directory of Open Access Journals (Sweden)

James B. Ouda

2016-09-01

Conclusion: The study recommended that there is need to increase the number of non-governmental organisations modelled around the Dupoto-e-Maa education project so as to reduce dropout rate and improve pupil academic performance. The findings could also inform government policy in terms of recruitment and placement of teachers in schools in arid and semi-arid lands. Project funding could be increased to improve visibility and sustainability of project activities.

[ANALYSIS OF BACKGROUNDS AND LEVEL OF UNDERSTANDING OF TREATMENT OF POOR ADHERENCE AND DROPOUT CASES ON SUBLINGUAL IMMUNOTHERAPY FOR JAPANESE CEDAR POLLINOSIS IN THE FIRST FOLLOW-UP YEAR].

Science.gov (United States)

Kikkawa, Sayaka; Kamijo, Atsushi; Nakagome, Kazuyuki; Soma, Tomoyuki; Kobayashi, Takehito; Uchida, Yoshitaka; Morita, Eiji; Nagata, Makoto; Inoue, Tomoe; Kase, Yasuhiro

We considered the factors of poor adherence to and dropout from sublingual immunotherapy (SLIT) by verifying patient backgrounds 1 year after start of treatment. We recruited 38 patients who began SLIT between November 2014 and September 2015. We analyzed their attributes and level of understanding of the treatment, and conducted a self-reported survey on factors behind dropout cases and poor adherence cases. Four patients dropped out 1 year after start of treatment. Three left for reasons related to anxiety about side effects. There were five cases of poor adherence. There was no significant difference between good adherence, poor adherence, and dropout regarding level of understanding of the treatment (p=0.59). In the comparison between good and poor adherence groups, except four dropout patients, the adherence tended to be poor in patients with short duration of disease, smoking patients, and young patients. Continuous rate of SLIT achieved about 90%, suggesting relatively high level of adherence. It appears possible that anxiety related to side effects could be a factor affecting dropout from SLIT. There was no significant difference regarding level of understanding of the treatment. The adherence tended to be poor in patients with short duration of disease, smoking patients, and young patients.

Dropout from exercise randomized controlled trials among people with depression: A meta-analysis and meta regression.

Science.gov (United States)

Stubbs, Brendon; Vancampfort, Davy; Rosenbaum, Simon; Ward, Philip B; Richards, Justin; Soundy, Andrew; Veronese, Nicola; Solmi, Marco; Schuch, Felipe B

2016-01-15

Exercise has established efficacy in improving depressive symptoms. Dropouts from randomized controlled trials (RCT's) pose a threat to the validity of this evidence base, with dropout rates varying across studies. We conducted a systematic review and meta-analysis to investigate the prevalence and predictors of dropout rates among adults with depression participating in exercise RCT's. Three authors identified RCT's from a recent Cochrane review and conducted updated searches of major electronic databases from 01/2013 to 08/2015. We included RCT's of exercise interventions in people with depression (including major depressive disorder (MDD) and depressive symptoms) that reported dropout rates. A random effects meta-analysis and meta regression were conducted. Overall, 40 RCT's were included reporting dropout rates across 52 exercise interventions including 1720 people with depression (49.1 years (range=19-76 years), 72% female (range=0-100)). The trim and fill adjusted prevalence of dropout across all studies was 18.1% (95%CI=15.0-21.8%) and 17.2% (95%CI=13.5-21.7, N=31) in MDD only. In MDD participants, higher baseline depressive symptoms (β=0.0409, 95%CI=0.0809-0.0009, P=0.04) predicted greater dropout, whilst supervised interventions delivered by physiotherapists (β=-1.2029, 95%CI=-2.0967 to -0.3091, p=0.008) and exercise physiologists (β=-1.3396, 95%CI=-2.4478 to -0.2313, p=0.01) predicted lower dropout. A comparative meta-analysis (N=29) established dropout was lower in exercise than control conditions (OR=0.642, 95%CI=0.43-0.95, p=0.02). Exercise is well tolerated by people with depression and drop out in RCT's is lower than control conditions. Thus, exercise is a feasible treatment, in particular when delivered by healthcare professionals with specific training in exercise prescription. Copyright © 2015 Elsevier B.V. All rights reserved.

A fast transient response low dropout regulator with current control methodology

Energy Technology Data Exchange (ETDEWEB)

Ma Zhuo; Guo Yang; Duan Zhikui; Xie Lunguo; Chen Jihua; Yu Jinshan, E-mail: guoyang@nudt.edu.cn [School of Computer, National University of Defense Technology, Changsha 410073 (China)

2011-08-15

A transient performance optimized CCL-LDO regulator is proposed. In the CCL-LDO, the control method of the charge pump phase-locked loop is adopted. A current control loop has the feedback signal and reference current to be compared, and then a loop filter generates the gate voltage of the power MOSFET by integrating the error current. The CCL-LDO has the optimized damping coefficient and natural resonant frequency, while its output voltage can be sub-1-V and is not restricted by the reference voltage. With a 1 {mu}F decoupling capacitor, the experimental results based on a 0.13 {mu}m CMOS process show that the output voltage is 1.0 V; when the workload changes from 100 {mu}A to 100 mA transiently, the stable dropout is 4.25 mV, the settling time is 8.2 {mu}s and the undershoot is 5.11 mV; when the workload changes from 100 mA to 100 {mu}A transiently, the stable dropout is 4.25 mV, the settling time is 23.3 {mu}s and the overshoot is 6.21 mV. The PSRR value is more than -95 dB. Most of the attributes of the CCL-LDO are improved rapidly with a FOM value of 0.0097.

A fast transient response low dropout regulator with current control methodology

International Nuclear Information System (INIS)

Ma Zhuo; Guo Yang; Duan Zhikui; Xie Lunguo; Chen Jihua; Yu Jinshan

2011-01-01

A transient performance optimized CCL-LDO regulator is proposed. In the CCL-LDO, the control method of the charge pump phase-locked loop is adopted. A current control loop has the feedback signal and reference current to be compared, and then a loop filter generates the gate voltage of the power MOSFET by integrating the error current. The CCL-LDO has the optimized damping coefficient and natural resonant frequency, while its output voltage can be sub-1-V and is not restricted by the reference voltage. With a 1 μF decoupling capacitor, the experimental results based on a 0.13 μm CMOS process show that the output voltage is 1.0 V; when the workload changes from 100 μA to 100 mA transiently, the stable dropout is 4.25 mV, the settling time is 8.2 μs and the undershoot is 5.11 mV; when the workload changes from 100 mA to 100 μA transiently, the stable dropout is 4.25 mV, the settling time is 23.3 μs and the overshoot is 6.21 mV. The PSRR value is more than -95 dB. Most of the attributes of the CCL-LDO are improved rapidly with a FOM value of 0.0097.

Medical school dropout - testing at admission versus selection by highest grades as predictors

DEFF Research Database (Denmark)

O'Neill, Lotte; Hartvigsen, Jan; Wallstedt, Birgitta

2011-01-01

Medical Education 2011: 45: 1111-1120 Context  Very few studies have reported on the effect of admission tests on medical school dropout. The main aim of this study was to evaluate the predictive validity of non-grade-based admission testing versus grade-based admission relative to subsequent...... took a composite non-grade-based admission test (Strategy 2). Educational as well as social predictor variables (doctor-parent, origin, parenthood, parents living together, parent on benefit, university-educated parents) were also examined. The outcome of interest was students' dropout status at 2...... appeared to have an independent, protective effect on dropout in this setting....

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Directory of Open Access Journals (Sweden)

Donggeun Kim

2018-03-01

Full Text Available University dropout is a serious problem. It affects not only the individual who drops out but also the university and society. However, most previous studies have focused only on the subjective/individual level. University dropout is a very important issue in South Korea, but it has not received much research attention so far. This study examined the possible causes of university dropout in South Korea at the aggregate level, focusing on four fundamental categories: students, resources, faculty, and university characteristics. Three-year balanced panel data from 2013 to 2015 were constructed and estimated by using nonlinear panel data models. The findings show that cost and burden for students, financial resources, qualitative and quantitative features of faculty, and type/size of the university have significant effects on university dropout.

Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women: a systematic review

NARCIS (Netherlands)

Mutsaerts, M. A. Q.; Kuchenbecker, W. K. H.; Mol, B. W.; Land, J. A.; Hoek, A.

2013-01-01

What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24% in overweight and obese infertile women who

Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women : a systematic review

NARCIS (Netherlands)

Mutsaerts, M. A. Q.; Kuchenbecker, W. K. H.; Mol, B. W.; Land, J. A.; Hoek, A.

What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24 in overweight and obese infertile women who

Dropouts and Compliance in Exercise Interventions Targeting Bone Mineral Density in Adults: A Meta-Analysis of Randomized Controlled Trials

Directory of Open Access Journals (Sweden)

George A. Kelley

2013-01-01

Full Text Available Background. Dropouts and compliance to exercise interventions targeting bone mineral density (BMD in adults are not well established. The purpose of this study was to address that gap. Methods. Meta-analysis of randomized controlled exercise intervention trials in adults ≥18 years of age. The primary outcomes were dropouts in the exercise and control groups as well as compliance to the exercise interventions. A random-effects model was used to pool results. Moderator analyses were conducted using mixed-effects ANOVA-like models and metaregression. Statistical significance was set at . Results. Thirty-six studies representing 3,297 participants (1,855 exercise, 1,442 control were included. Dropout rates in the exercise and control groups averaged 20.9% (95% CI 16.7%–25.9% and 15.9% (11.8%–21.1% while compliance to exercise was 76.3% (71.7%–80.3%. For both exercise and control groups, greater dropout rates were associated with studies conducted in the USA versus other countries, females versus males, premenopausal versus postmenopausal women, younger versus older participants, longer studies (controls only, and high- versus moderate-intensity training (exercisers only. Greater compliance to exercise was associated with being female, home- or facility-based exercise versus both, and shorter studies. Conclusion. These findings provide important information for researchers and practitioners with respect to exercise programs targeting BMD in adults.

An Empirical Assessment of Dropout Rate of Learners at Selected High Schools in King William’s Town, South Africa

Directory of Open Access Journals (Sweden)

Wendy Manona

2015-12-01

Full Text Available This study investigated and analysed factors responsible for high dropout rate of learners at selected high schools in King William’s Town District, Province of the Eastern Cape. The aim of the study is provide an understanding into inherent problems of early exit of learners in the education sector, which impede the long-term production of professionals with bright future. The main findings of this study revealed that multiple motives, associated with individual characteristics of dropouts and social problems emanating from their family background and influence of the community, prompted learners to dropout. Moreover, learner dropout is inter alia caused by social factors such as lack of resources, the effect of poverty, orphans at school, the distance between the school and the community, drug abuse, pregnancy and HIV and AIDS prevalence in schools, gangsterism and learning barriers. The results of this research suggest that the government should make resources available with regard to scholar transport, school nurses to provide education awareness programmes in relation to early pregnancies, HIV and AIDS infection to improve attendance rate. The Department of Social Development should provide information with regard to benefits available to orphaned learners. The government should ensure sustainable provision of the school nutrition programme to alleviate hunger and poverty. School management should effectively regulate the behaviour of learners to promote discipline in schools so that substance abuse is eliminated.

Student Dropout at the Hellenic Open University: Evaluation of the Graduate Program, "Studies in Education"

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Dimitris Vergidis

2002-10-01

Full Text Available This study traces the root causes of dropout rates in one post-graduate course “Studies in Education,” offered by the Hellenic Open University (HOU. From our research findings, it was found that the main cause of dropping out stem from a combination of adult learners’ obligations, specifically balancing their academic workload with their employment commitments and family obligations (mainly for female students. The second reason for dropout rates among adult distance education learners include students’ miscalculation of the available time for studying and their underestimation of the extra effort required for effective learning. These reasons can be compared to the educational material, which, in general, was not considered overly difficult and did not appear to compel students to abandon their studies.

Baseline Motivation Type as a Predictor of Dropout in a Healthy Eating Text Messaging Program.

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Coa, Kisha; Patrick, Heather

2016-09-29

Growing evidence suggests that text messaging programs are effective in facilitating health behavior change. However, high dropout rates limit the potential effectiveness of these programs. This paper describes patterns of early dropout in the HealthyYou text (HYTxt) program, with a focus on the impact of baseline motivation quality on dropout, as characterized by Self-Determination Theory (SDT). This analysis included 193 users of HYTxt, a diet and physical activity text messaging intervention developed by the US National Cancer Institute. Descriptive statistics were computed, and logistic regression models were run to examine the association between baseline motivation type and early program dropout. Overall, 43.0% (83/193) of users dropped out of the program; of these, 65.1% (54/83; 28.0% of all users) did so within the first 2 weeks. Users with higher autonomous motivation had significantly lower odds of dropping out within the first 2 weeks. A one unit increase in autonomous motivation was associated with lower odds (odds ratio 0.44, 95% CI 0.24-0.81) of early dropout, which persisted after adjusting for level of controlled motivation. Applying SDT-based strategies to enhance autonomous motivation might reduce early dropout rates, which can improve program exposure and effectiveness.

Systematic review and meta-analysis of dropout rates in individual psychotherapy for generalized anxiety disorder.

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Gersh, Elon; Hallford, David J; Rice, Simon M; Kazantzis, Nikolaos; Gersh, Hannah; Gersh, Benji; McCarty, Carolyn A

2017-12-01

Despite being a relatively prevalent and debilitating disorder, Generalized Anxiety Disorder (GAD) is the second least studied anxiety disorder and among the most difficult to treat. Dropout from psychotherapy is concerning as it is associated with poorer outcomes, leads to service inefficiencies and can disproportionately affect disadvantaged populations. No study to date has calculated a weighted mean dropout rate for GAD and explored associated correlates. A systematic review was conducted using PsycINFO, Medline and Embase databases, identifying studies investigating individual psychotherapies for adults with GAD. Forty-five studies, involving 2224 participants, were identified for meta-analysis. The weighted mean dropout rate was 16.99% (95% confidence interval 14.42%-19.91%). The Q-statistic indicated significant heterogeneity among studies. Moderator analysis and meta-regressions indicated no statistically significant effect of client age, sex, symptom severity, comorbidity, treatment type, study type (randomized trial or not), study quality, number of sessions or therapist experience. In research investigating psychotherapy for GAD, approximately one in six clients can be expected to drop out of treatment. Dropout rate was not significantly moderated by the client, therapist or treatment variables investigated. Future research should specify the definition of dropout, reasons for dropout and associated correlates to assist the field's progression. Copyright © 2017 Elsevier Ltd. All rights reserved.

Leaving School and Its Outcomes on Health-related Fitness Among Drop-out Algerian High School Students

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Mohammed Zerf

2018-04-01

Full Text Available Purpose. Schools are ideal venues for the implementation of healthy behaviors allied to the levels of physical activities as the physical and mental health correlate to psychosocial well-being of scholars. Whereas, this advantage is not reliable with dropout students. Support through psychological studies via time structure unconnected to self-efficacy relative to self-physical activity motivation among this social class, especially with the economic crisis as challenges imposed for Algerian society, concerning the high unemployment rates in line with high school dropouts. Method. This controlled study tested 104 high-school Male adolescent students aged around 17 years for academic years 2015–2016 and those under 18 years for academic years 2016–2017. Built on the ALPHA-Fitness test battery accompanied by questionnaire relevant to their physical and social time for both years. Results. Based on the design, the tests practised and the statistical processes applied within the search limitation, the results support, on one hand, the benefits of school venue as an ideal implementation of health and levels of physical activities and well-being among our scholars, and on the other, we confirmed the leaving school as a negative time trend via dropout students, poorly correlate with times physically and socially inactive. This study inspected that inactive lifestyle relate to body image disorders and disturbances concomitant to energy-expending relative to missing recreational time and sporting endeavours. Conclusions. Leaving school in the Algerian communities is a stress-related biological pathway that links physical disorders and depression virtual to social time structure proceeded to manage the relevant tasks, goals and objectives. Indicated in similar as best when individuals are clear about what it is they are expected to achieve.

Study of the Factors Responsible for the Dropouts from the BSc Programme of Indira Gandhi National Open University

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Bharat Inder Fozdar

2006-12-01

Full Text Available This paper presents a report on students who decided to drop out of the BSc programme offered by Indira Gandhi National Open University (IGNOU. This study was designed to determine the reasons leading to students’ decisions to withdraw from the programme. Identified in this study are nine major reasons for dropouts. Results of this study lead to several suggestions for improving current instructional and delivery strategies of IGNOU’s BSc Programme. Following such suggestions could help to reduce students’ dropout rate for this particular programme through implementation of timely interventions at different critical stages of their learning journey.

Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method

OpenAIRE

Mingjie Tan; Peiji Shao

2015-01-01

The high rate of dropout is a serious problem in E-learning program. Thus it has received extensive concern from the education administrators and researchers. Predicting the potential dropout students is a workable solution to prevent dropout. Based on the analysis of related literature, this study selected student’s personal characteristic and academic performance as input attributions. Prediction models were developed using Artificial Neural Network (ANN), Decision Tree (DT) and Bayesian Ne...

New Approach to reduce High School Dropout Rates

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Mauricio Cristhian Portillo-Torres

2015-05-01

Full Text Available From 2006 to 2014, the Ministry of Public Education of Costa Rica implemented four strategic actions to reduce high school dropout rates. The main purpose of these actions was to promote student participation and student identification with their school. Studies prepared by the Ministry of Education and the Comptroller of the Republic were revised to assess the impact of these actions. The result of these actions does not show an actual decrease in the number of students who leave high school. Therefore, a more holistic view is necessary to ensure the students’ stay. This review suggests using use the concept of student engagement and applying a three tier system-wide dropout preventive actions: universal, targeted and intensive.

Did the 18 Drinking Age Promote High School Dropout? Implications for Current Policy.

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Plunk, Andrew D; Agrawal, Arpana; Tate, William F; Cavazos-Rehg, Patricia; Bierut, Laura J; Grucza, Richard A

2015-09-01

Disagreement exists over whether permissive minimum legal drinking age (MLDA) laws affected underage adolescents (e.g., those age 17 years with the MLDA of 18). We used MLDA changes during the 1970s and 1980s as a natural experiment to investigate how underage exposure to permissive MLDA affected high school dropout. MLDA exposure was added to two data sets: (a) the 5% public use microdata samples of the 1990 and 2000 censuses (n = 3,671,075), and (b) a combined data set based on the 1991-1992 National Longitudinal Alcohol Epidemiological Survey (NLAES) and the 2001-2002 National Epidemiological Survey on Alcohol and Related Conditions (NESARC; n = 16,331). We used logistic regression to model different thresholds of MLDA on high school dropout. We also estimated models conditioned on demographic variables and familial risk of developing alcohol problems. Only the MLDA of 18 predicted high school dropout. Exposure was associated with 4% and 13% higher odds of high school dropout for the census and NLAES/NESARC samples, respectively. We noted greater impact on women (5%-18%), Blacks (5%-19%), and Hispanics (6%). Self-report of parental alcohol problems was associated with 40% higher odds, which equals a 4.14-point increase in dropout rate for that population. The MLDA of 18 likely had a large impact on high school dropout rates, suggesting that the presence of legal-aged peers in a high school setting increased access to alcohol for younger students. Our results also suggest that policy can promote less dangerous drinking behavior even when familial risk of alcohol use disorders is high.

Continuous-time quantum walks on star graphs

International Nuclear Information System (INIS)

Salimi, S.

2009-01-01

In this paper, we investigate continuous-time quantum walk on star graphs. It is shown that quantum central limit theorem for a continuous-time quantum walk on star graphs for N-fold star power graph, which are invariant under the quantum component of adjacency matrix, converges to continuous-time quantum walk on K 2 graphs (complete graph with two vertices) and the probability of observing walk tends to the uniform distribution.

78 FR 33228 - Final Waiver and Extension of the Project Period for the National Dropout Prevention Center for...

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2013-06-04

... the National Dropout Prevention Center for Students With Disabilities [Catalog of Federal Domestic... period enables the currently funded National Dropout Prevention Center for Students with Disabilities... Dropout Prevention Center for Students with Disabilities. The Center was funded under the Technical...

[Eating Disorder Treatment in Iceland - Treatment adherence, psychiatric co-morbidities and factors influencing drop-out].

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Gunnarsdottir, Gudrun Mist; Palsson, Sigurdur Pall; Thorsteinsdottir, Gudlaug

2015-05-01

Treatment adherence in patients with eating disorders (ED) in Iceland is unknown. The aim of the study was to investigate treatment drop-out and explore factors that influence premature termination of treatment in a specialized ED treatment unit, at the University Hospital of Iceland, during the period of September 1, 2008 - May 1, 2012. The study is retrospective and naturalistic. Hospital records of referred patients were examined. Those meeting the ICD 10 criteria of anorexia nervosa (AN) (F50.0, F50.1), bulimia nervosa (BN) (F50.2, F50.3) and eating disorder not otherwise specified (EDNOS) (F50.9) were included. The total sample was 260 and 182 patients met inclusion criteria. No-shows were 7%. Drop-out was defined as premature termination of treatment without formal discharge. The sample consisted of 176 women and 6 men, mean age 26.3 years. BN was diagnosed in 52.7% of patients, EDNOS in 36.8% AN in 10.4%. 74.7% had one or more co-morbid psychiatric diagnosis. Anxiety- and/or depression were diagnosed in 72.5%, Attention hyperactivity deficiency disorder in 15.4% and personality disorders in 8.2%. Lifetime prevalence of substance use disorders (SUDs) was 30.8%. Drop-out from treatment occurred in 54.4% of cases (with approximately 1/3 returning to treatment), 27.5% finished treatment and 18.1% were still in treatment at the end of the follow up period. Treatment adherence was significantly higher in patients who had a university degree, in those who had themselves taken the initiative to seek ED treatment and in those with higher anxiety scores at assessment. AN patients did better than other ED patients while patients with SUDs showed a tendency for higher drop-out (p=0.079). The drop-out rates were similar to what has been reported from other western countries. Follow-up time was longer and AN patient did better than expected. Higher education, initiative in seeking treatment and higher anxiety scores on questionnaires were protective.

Dropout Phenomena at Universities:What is Dropout? Why does Dropout Occur? What Can be Done by the Universities to Prevent or Reduce it?

OpenAIRE

Larsen, Michael Søgaard; Kornbeck, Kasper Pihl; Kristensen, Rune; Larsen, Malene Rode; Sommersel, Hanna Bjørnøy

2013-01-01

Dropout from university studies comprises a number of complex phenomena with serious complex consequences and profound political attention. Further analysis of the field is, therefore, warranted. Such an analysis is offered here as a systematic review which gives answers based on the best possible evidence found in the research field comprised by the three review questions to be addressed.The aims of this systematic review can, thus, be summarized like this:Which answers can be offered from r...

Predicting Dropout from Intensive Outpatient Cognitive Behavioural Therapy for Binge Eating Disorder Using Pre-treatment Characteristics: A Naturalistic Study.

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Vroling, Maartje S; Wiersma, Femke E; Lammers, Mirjam W; Noorthoorn, Eric O

2016-11-01

Dropout rates in binge eating disorder (BED) treatment are high (17-30%), and predictors of dropout are unknown. Participants were 376 patients following an intensive outpatient cognitive behavioural therapy programme for BED, 82 of whom (21.8%) dropped out of treatment. An exploratory logistic regression was performed using eating disorder variables, general psychopathology, personality and demographics to identify predictors of dropout. Binge eating pathology, preoccupations with eating, shape and weight, social adjustment, agreeableness, and social embedding appeared to be significant predictors of dropout. Also, education showed an association to dropout. This is one of the first studies investigating pre-treatment predictors for dropout in BED treatment. The total explained variance of the prediction model was low, yet the model correctly classified 80.6% of cases, which is comparable to other dropout studies in eating disorders. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association.

A Systematic Review of Dropout From Psychotherapy for Posttraumatic Stress Disorder Among Iraq and Afghanistan Combat Veterans.

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Goetter, Elizabeth M; Bui, Eric; Ojserkis, Rebecca A; Zakarian, Rebecca J; Brendel, Rebecca Weintraub; Simon, Naomi M

2015-10-01

A significant number of veterans of the conflicts in Iraq and Afghanistan have posttraumatic stress disorder (PTSD), yet underutilization of mental health treatment remains a significant problem. The purpose of this review was to summarize rates of dropout from outpatient, psychosocial PTSD interventions provided to U.S. Operation Iraqi Freedom (OIF), Operation Enduring Freedom (OEF), and Operation New Dawn (OND) veterans with combat-related PTSD. There were 788 articles that were identified which yielded 20 studies involving 1,191 individuals eligible for the review. The dropout rates in individual studies ranged from 5.0% to 78.2%, and the overall pooled dropout rate was 36%, 95% CI [26.20, 43.90]. The dropout rate differed marginally by study type (routine clinical care settings had higher dropout rates than clinical trials) and treatment format (group treatment had higher dropout rates than individual treatment), but not by whether comorbid substance dependence was excluded, by treatment modality (telemedicine vs. in-person treatment), or treatment type (exposure therapy vs. nonexposure therapy). Dropout is a critical aspect of the problem of underutilization of care among OEF/OIF/OND veterans with combat-related PTSD. Innovative strategies to enhance treatment retention are needed. Copyright © 2015 Wiley Periodicals, Inc., A Wiley Company.

Stereotype confirmation concerns predict dropout from cognitive behavioral therapy for social anxiety disorder.

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Johnson, Suzanne; Price, Matthew; Mehta, Natasha; Anderson, Page L

2014-08-19

There are high attrition rates observed in efficacy studies for social anxiety disorder, and research has not identified consistent nor theoretically meaningful predictors of dropout. Pre-treatment symptom severity and demographic factors, such as age and gender, are sometimes predictive of dropout. The current study examines a theoretically meaningful predictor of attrition based on experiences associated with social group membership rather than differences between social group categories--fear of confirming stereotypes. This is a secondary data analysis of a randomized controlled trial comparing two cognitive behavioral treatments for social anxiety disorder: virtual reality exposure therapy and exposure group therapy. Participants (N = 74) with a primary diagnosis of social anxiety disorder who were eligible to participate in the parent study and who self-identified as either "African American" (n = 31) or "Caucasian" (n = 43) completed standardized self-report measures of stereotype confirmation concerns (SCC) and social anxiety symptoms as part of a pre-treatment assessment battery. Hierarchical logistic regression showed that greater stereotype confirmation concerns were associated with higher dropout from therapy--race, age, gender, and pre-treatment symptom severity were not. Group treatment also was associated with higher dropout. These findings urge further research on theoretically meaningful predictors of attrition and highlight the importance of addressing cultural variables, such as the experience of stereotype confirmation concerns, during treatment of social anxiety to minimize dropout from therapy.

Determinants of dropout in a community-based mental health crisis centre.

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Henzen, Alexandre; Moeglin, Clotilde; Giannakopoulos, Panteleimon; Sentissi, Othman

2016-04-19

Dropping out during the course of medical follow up is defined as an early therapy withdrawal without the agreement of the therapist. In a psychiatric crisis unit in Geneva, we empirically observed that almost 50% of the patients were not showing up to their first appointments, which were scheduled for 3 to 7 days post discharge. The aim of this naturalistic descriptive cohort study is to identify the demographic, patient and care-related predictive factors of dropout in a community-based psychiatric crisis centre. We included 245 consecutive outpatients followed-up for 4 to 6 weeks of intensive outpatient psychiatric treatment. Logistic regression models were built to examine the association between dropout and demographic, care and patient-related variables. Among the 245 outpatients, dropout occurred in 37.5% of cases, and it most frequently occurred (81.8%) in the first 2 days of follow-up. Among care-related variables, referral by hospital units or private psychiatrists led to significantly lower levels of dropout compared to patients referred by the psychiatric emergency unit (respectively: OR = .32; p = .04; 95% CI [.10, .93]; OR = .36; p = .04; 95% CI [.13, .96]; OR = .22; p = .002; 95% CI [.08, .58]). Among patient-related variables, younger age increased the risk of dropout (OR = .96; 95%; p = .002; 95% CI [.94, .99]). Anxiety and personality but not mood disorders were also related to higher rates of dropout (respectively: OR = 2.40; p = .02; 95% CI [1.14, 4.99]; and OR = 1.98; p = .02; 95% CI [1.09, 3.59]). Unipolar depression (72.2%; OR = 1.47; p = .48; 95% CI [.34, 1.21]) was the most frequent primary diagnosis in this sample. This study makes clear the need for increased efforts to improve care adherence in young patients with anxious or personality disorders seen in emergency rooms because they are prone to early discontinuation of treatments. Future studies in this field are warranted to gain

Impulsive Controller Design for Complex Nonlinear Singular Networked Systems with Packet Dropouts

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Xian-Lin Zhao

2013-01-01

Full Text Available Globally exponential stability of Complex (with coupling Nonlinear Singular Impulsive Networked Control Systems (CNSINCS with packet dropouts and time-delay is investigated. Firstly, the mathematic model of CNSINCS is established. Then, by employing the method of Lyapunov functional, exponential stability criteria are obtained and the impulsive controller design method is given. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed method.

A Systematic Review and Meta-Analysis Estimating the Expected Dropout Rates in Randomized Controlled Trials on Yoga Interventions.

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Cramer, Holger; Haller, Heidemarie; Dobos, Gustav; Lauche, Romy

2016-01-01

A reasonable estimation of expected dropout rates is vital for adequate sample size calculations in randomized controlled trials (RCTs). Underestimating expected dropouts rates increases the risk of false negative results while overestimating rates results in overly large sample sizes, raising both ethical and economic issues. To estimate expected dropout rates in RCTs on yoga interventions, MEDLINE/PubMed, Scopus, IndMED, and the Cochrane Library were searched through February 2014; a total of 168 RCTs were meta-analyzed. Overall dropout rate was 11.42% (95% confidence interval [CI] = 10.11%, 12.73%) in the yoga groups; rates were comparable in usual care and psychological control groups and were slightly higher in exercise control groups (rate = 14.53%; 95% CI = 11.56%, 17.50%; odds ratio = 0.82; 95% CI = 0.68, 0.98; p = 0.03). For RCTs with durations above 12 weeks, dropout rates in yoga groups increased to 15.23% (95% CI = 11.79%, 18.68%). The upper border of 95% CIs for dropout rates commonly was below 20% regardless of study origin, health condition, gender, age groups, and intervention characteristics; however, it exceeded 40% for studies on HIV patients or heterogeneous age groups. In conclusion, dropout rates can be expected to be less than 15 to 20% for most RCTs on yoga interventions. Yet dropout rates beyond 40% are possible depending on the participants' sociodemographic and health condition.

The therapeutic alliance and therapist adherence as predictors of dropout from cognitive therapy for depression when combined with antidepressant medication.

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Cooper, Andrew A; Strunk, Daniel R; Ryan, Elizabeth T; DeRubeis, Robert J; Hollon, Steven D; Gallop, Robert

2016-03-01

Previous psychotherapy research has examined the therapeutic alliance and therapist adherence as correlates or predictors of symptom change. While some initial evidence suggests the alliance is associated with risk of dropout in cognitive behavioral treatment for depression, evidence of such relations has been limited to date. We examined the relation of these psychotherapy process variables and dropout in the context of cognitive therapy for depression when provided in combination with pharmacotherapy. Patients were randomized to the CT plus pharmacotherapy condition of a clinical trial for chronic or recurrent depression. Consistent with the spirit of personalized medicine, patients were treated until they met remission and recovery criteria (or reached the maximum allowable time in the study). In a sample of 176 patients, we examined observer-rated alliance and therapist adherence in the first three CT sessions as potential predictors of treatment dropout. The therapeutic alliance and one facet of therapist adherence (i.e., Behavioral Methods/Homework) predicted reduced odds of dropout. Therapist use of Negotiating/Structuring predicted greater likelihood of dropout, but only when other variables were included in the model. Process ratings were not available for concurrent pharmacotherapy sessions. A minority of patients did not have session recordings available. Results are consistent with the possibility that the therapeutic alliance and therapists' focus on homework and behavioral methods promote treatment retention in combined treatment for depression. Copyright © 2015 Elsevier Ltd. All rights reserved.

Finishing high school: alternative pathways and dropout recovery.

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Tyler, John H; Lofstrom, Magnus

2009-01-01

John Tyler and Magnus Lofstrom take a close look at the problems posed when students do not complete high school. The authors begin by discussing the ongoing, sometimes heated, debate over how prevalent the dropout problem is. They note that one important reason for discrepancies in reported dropout rates is whether holders of the General Educational Development (GED) credential are counted as high school graduates. The authors also consider the availability of appropriate student data. The overall national dropout rate appears to be between 22 and 25 percent, but the rate is higher among black and Hispanic students, and it has not changed much in recent decades. Tyler and Lofstrom conclude that schools are apparently doing about as well now as they were forty years ago in terms of graduating students. But the increasingly competitive pressures associated with a global economy make education ever more important in determining personal and national well-being. A student's decision to drop out of school, say the authors, is affected by a number of complex factors and is often the culmination of a long process of disengagement from school. That decision, not surprisingly, carries great cost to both the student and society. Individual costs include lower earnings, higher likelihood of unemployment, and greater likelihood of health problems. Because minority and low-income students are significantly more likely than well-to-do white students to drop out of school, the individual costs fall unevenly across groups. Societal costs include loss of tax revenue, higher spending on public assistance, and higher crime rates. Tyler and Lofstrom go on to survey research on programs designed to reduce the chances of students' dropping out. Although the research base on this question is not strong, they say, close mentoring and monitoring of students appear to be critical components of successful programs. Other dropout-prevention approaches associated with success are family

Evaluation of factors associated with psychiatric patient dropout at a university outpatient clinic in Japan

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Minamisawa A

2016-09-01

Full Text Available Atsumi Minamisawa,1 Jin Narumoto,1 Isao Yokota,2 Kenji Fukui1 1Department of Psychiatry, 2Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan Background: Patient dropout from treatment can lead to a deterioration in clinical condition, thereby increasing the need for more intensive therapy that incurs substantial social and economic losses. The aim of this study was to identify factors related to psychiatric patient dropout at a university outpatient clinic in Japan.Methods: We retrospectively examined the medical charts of new psychiatric patients who were diagnosed with either a mood disorder (International Classification of Diseases, 10th revision, code: F3 or an anxiety disorder (F4 in the outpatient clinic at Kyoto Prefectural University of Medicine Hospital in Kyoto, Japan, between April 2010 and March 2013. The baseline characteristics of the patients (age, sex, Global Assessment of Functioning score, Clinical Global Impression–Severity of Illness score, education, occupation, marital status, duration of treatment, and prior treatment history, treating psychiatrist experience in years, and sex concordance between the patients and their treating psychiatrists were analyzed using Cox regression models.Results: From among 1,626 eligible new patients during the study period, 532 patients were enrolled in the study (F3: n=176; F4: n=356. The dropout rate was 35.7%, which was similar to that of previous studies. Higher educational level, being married, and lower Global Assessment of Functioning scores were associated with a lower dropout rate. Although psychiatrist experience was not significantly associated with patient dropout in the multivariate analysis, patients treated by less experienced psychiatrists had a higher hazard ratio for dropout (1.31; 95% confidence interval: 0.94–1.85.Conclusion: In order to reduce the dropout rate, special focus should be placed on

The Interactive Effects of Antisocial Personality Disorder and Court-Mandated Status on Substance Abuse Treatment Dropout

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Daughters, Stacey B.; Stipelman, Brooke A.; Sargeant, Marsha N.; Schuster, Randi; Bornovalova, Marina A.; Lejuez, C.W.

2013-01-01

The present study sought to examine the interactive effects of court-mandated (CM) treatment and antisocial personality disorder (ASPD) on treatment dropout among 236 inner-city male substance users receiving residential substance abuse treatment through a pretrial release to treatment program. Of the 236 participants, 39.4% (n = 93) met criteria for ASPD and 72.5 % (n = 171) were mandated to treatment by the court system. Results indicated a significant interaction between ASPD and CM status, such that ASPD patients voluntarily receiving treatment were significantly more likely to drop out of treatment than each of the other groups. Subsequent discrete-time survival analyses to predict days until dropout using Cox proportional hazards regression indicated similar findings, with ASPD patients voluntarily receiving treatment completing fewer days of treatment than each of the other groups. These findings suggest the effectiveness of the court system in retaining ASPD patients, as well as the role of ASPD in predicting treatment dropout for individuals who are voluntarily in treatment. Implications are discussed including the potential value of early implementation of specialized interventions aimed at improving adherence for ASPD patients who are receiving treatment voluntarily. PMID:17869050

Teacher professionalisation and dropout rates in adult education

DEFF Research Database (Denmark)

Wahlgren, Bjarne; Mariager-Anderson, Kristina

2015-01-01

in by the teachers, interviews with the teachers, and by the teachers’ written logbooks. The preliminary conclusion is that it is the general attitude in the teacher groups towards the importance of improving retention that is of significance for the documented effects on the drop-out rates.......This article reports findings from a research project titled New roles for the teacher - Increased completion through social responsibility. This research, designed as an intervention project, has an overall aim of reducing absence and drop-out rates in the Danish vocational and general adult...... educational system by developing and improving the teachers’ competences. This has been pursued in the research project through engaging teachers in training aimed at improving their socio-pedagogical competences. The effect of this training has been measured by electronic questionnaires filled...

Dropping Out or Keeping Up? Early-Dropouts, Late-Dropouts, and Maintainers Differ in Their Automatic Evaluations of Exercise Already before a 14-Week Exercise Course.

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Antoniewicz, Franziska; Brand, Ralf

2016-01-01

The aim of this study was to examine how automatic evaluations of exercising (AEE) varied according to adherence to an exercise program. Eighty-eight participants (24.98 years ± 6.88; 51.1% female) completed a Brief-Implicit Association Task assessing their AEE, positive and negative associations to exercising at the beginning of a 3-month exercise program. Attendance data were collected for all participants and used in a cluster analysis of adherence patterns. Three different adherence patterns (52 maintainers, 16 early dropouts, 20 late dropouts; 40.91% overall dropouts) were detected using cluster analyses. Participants from these three clusters differed significantly with regard to their positive and negative associations to exercising before the first course meeting ([Formula: see text] = 0.07). Discriminant function analyses revealed that positive associations to exercising was a particularly good discriminating factor. This is the first study to provide evidence of the differential impact of positive and negative associations on exercise behavior over the medium term. The findings contribute to theoretical understanding of evaluative processes from a dual-process perspective and may provide a basis for targeted interventions.

Can use of healthcare services among 15-16-year-olds predict an increased level of high school dropout? A longitudinal community study.

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Homlong, Lisbeth; Rosvold, Elin O; Haavet, Ole R

2013-09-19

To study associations between healthcare seeking in 15-16-year-olds and high school dropout 5 years later. Longitudinal community study. Data from a comprehensive youth health survey conducted in 2000-2004, linked to data from national registries up to 2010. 13 964 10th grade secondary school students in six Norwegian counties. Logistic regression was used to compute ORs for high school dropout. The total proportion of students not completing high school 5 years after registering was 29% (girls 24%, boys 34%). Frequent attenders to school health services and youth health clinics at age 15-16 years had a higher dropout rate (37/48% and 45/71%), compared with those with no or moderate use. Adolescents referred to mental health services were also more likely to drop out (47/62%). Boys with moderate use of a general practitioner (GP) had a lower dropout rate (30%). A multiple logistic regression analysis, in which we adjusted for selected health indicators and sociodemographic background variables, revealed that seeking help from the youth health clinic and consulting mental health services, were associated with increased level of high school dropout 5 years later. Frequent attenders (≥4 contacts) had the highest odds of dropping out. Yet, boys who saw a GP and girls attending the school health services regularly over the previous year were less likely than their peers to drop out from high school. Adolescents who seek help at certain healthcare services can be at risk of dropping out of high school later. Health workers should pay particular attention to frequent attenders and offer follow-up when needed. However, boys who attended a GP regularly were more likely to continue to high school graduation, which may indicate a protective effect of having a regular and stable relationship with a GP.

Reducing School Factors That Lead to Student Dropout at Sussex Central High School

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Jerns, Pamela Renee

2012-01-01

The focus of this Executive Position Paper (EPP) is to address the dropout rate at Sussex Central High School (SCHS) in the Indian River School District (IRSD). Studies conducted for this EPP align with current research--student dropout is a result of culminating school-based factors that include poor attendance and lack of exposure to rigorous…

Are Dropout and Degree Completion in Doctoral Study Significantly Dependent on Type of Financial Support and Field of Research?

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van der Haert, Margaux; Arias Ortiz, Elena; Emplit, Philippe; Halloin, Véronique; Dehon, Catherine

2014-01-01

In this article, the determinants of "time to dropout" from doctoral studies and "time to PhD completion" are studied using a discrete-time competing risks survival analysis for a sample of 3092 doctoral candidates from the Université libre de Bruxelles. Not surprisingly, results show that students supported with research…

Identifying potential dropouts from college physics classes

Science.gov (United States)

Wollman, Warren; Lawrenz, Frances

Hudson and Rottman (1981) established that mathematics ability is probably a secondary factor influencing dropout from college physics courses. Other factors remain to be found for predicting who will drop out or at least have difficulty with the course. When mathematics ability is coupled with general indicators of performance (total GPA and ACT natural science), prediction of performance for those who complete the course is substantially improved. Moreover, discriminant analyses reveal who will have at least some difficulty, but not who will drop out. The problem of isolating specific weaknesses of students who have difficulty persists. Physics achievement appears to depend on mathematics ability only to the extent that students possess the ability to utilize mathematics knowledge for solving physics problems. Identification of the specific aspects of this ability as well as the specific deficiencies leading to dropout should be the object of future research. For the present, interviews might be more revealing than group testing methods.

Comparison of personal, social and academic variables related to University Dropout and Persistence

Directory of Open Access Journals (Sweden)

Ana B. Bernardo

2016-10-01

Full Text Available Dropping out of university has serious consequences not only for the student who drops out but also for the institution and society as a whole. Although this phenomenon has been widely studied, there is a need for broader knowledge of the context in which it occurs. Yet research on the subject often focuses on variables that, although they affect drop-out rates, lie beyond a university's control. This makes it hard to come up with effective preventive measures. That is why a northern Spanish university has undertaken a ex post facto holistic research study on 1,311 freshmen (2008/9, 2009/10 and 2010/11 cohorts. The study falls within the framework of the ALFA-GUIA European Project and focuses on those drop-out factors where there is scope for taking remedial measures. This research explored the possible relationship of degree dropout and different categories of variables: variables related to the educational stage prior to university entry (path to entry university and main reason for degree choice, variables related to integration and coexistence at university (social integration, academic integration, relationships with teachers/ peers and value of the living environment financial status and performance during university studies (in terms ofcompliance with the program, time devoted to study, use of study techniques and class attendance. Descriptive, correlational and variance analyses were conducted to discover which of these variables really distinguish those students who drop out from their peers who complete their studies. Results highlight the influence of vocation as main reason for degree choice, path to university entry, financial independency, social and academic adaptation, time devoted to study, use of study techniques and program compliance in the studied phenomenon.

Reasons for dropout from drug abuse treatment: symptoms, personality, and motivation.

Science.gov (United States)

Ball, Samuel A; Carroll, Kathleen M; Canning-Ball, Monica; Rounsaville, Bruce J

2006-02-01

Previous research has identified risk factors for early attrition from substance abuse treatment, but has not assessed reasons for dropout from the client's perspective. Interview and self-report assessment data were collected from 24 clients who prematurely terminated outpatient treatment to evaluate their subjective reasons for dropping out and the association of these reasons with demographic and clinical variables. Items from scales indicating problems with client motivation or conflicts with program staff were the most commonly endorsed. The severity of participant's symptoms and logistical problems interfering with appointments were less commonly reported as reasons for dropping out. Demographic, substance abuse, and motivational stage indicators were infrequently associated with subjective reasons for dropout. In contrast, indicators of maladaptive personality functioning were strongly associated with many reasons for dropping out, especially concerns about privacy and boundary issues within the program. Results from this preliminary evaluation will guide the development of an instrument and intervention focused on dropout risk factors and treatment reengagement.

Stress and hazardous alcohol use: associations with early dropout from university.

Science.gov (United States)

Andersson, Claes; Johnsson, Kent O; Berglund, Mats; Ojehagen, Agneta

2009-09-01

The transition to studying at university is associated with increased levels of both stress and hazardous alcohol use. The aim of this study is to investigate the influence of these factors on first-year dropout from university studies. Two complete cohorts of university freshmen at two homogeneous universities, one in the north and one in the south of Sweden, were asked to participate in an intervention study. Participants responded to a baseline questionnaire including measures of stress and alcohol use. Official university records showing dropout over 12 months were collected. A multivariate analysis established that high stress and admission to the northern university were associated with dropout from university studies, while symptoms of depression and anxiety as well as hazardous drinking were not. There is a need to address the issue of stress associated with the start of university studies. It seems important to offer stress-reducing interventions, specifically aimed at reducing transitional stress, as soon as students start university.

Impact of therapist change after initial contact and traumatic burden on dropout in a naturalistic sample of inpatients with borderline pathology receiving dialectical behavior therapy.

Science.gov (United States)

Steuwe, Carolin; Berg, Michaela; Driessen, Martin; Beblo, Thomas

2017-01-01

This study focused on the predictors of therapy dropout in a naturalistic sample of patients with borderline pathology receiving dialectical behavior therapy (DBT) in an inpatient setting. We assumed that the change of the therapist between DBT-briefing and start of DBT-treatment as well as comorbid posttraumatic stress disorder (PTSD) and childhood trauma history were associated with elevated dropout. Eighty-nine participants with borderline pathology (≥ 3 borderline personality disorder criteria) receiving an inpatient DBT program completed a quality assurance questionnaire set assessing demographic information and pretreatment psychopathology during the days of their inpatient stay. Beyond that, changes of therapists were documented. The predictor analyses were investigated with generalized estimating equations. The dropout rate was 24.7%. A change of therapist between DBT-briefing and treatment as well as high childhood emotional abuse was associated with premature termination of treatment. Higher values of physical neglect during childhood were associated with a protective effect on treatment dropout. Surprisingly, this was also true for comorbid PTSD. This study supports the importance of therapy process variables as predictors of therapy dropout in borderline pathology. A change of therapist between DBT-briefing and treatment was associated with an increased vulnerability for dropping out of treatment and should therefore be avoided if possible. Against our hypotheses, a comorbid PTSD was even protective with regard to DBT dropout. Therefore, this severely suffering patient group should not be rejected from treatment assuming them to be too unstable for psychotherapy. However, results need to be replicated. ClinicalTrials.gov Identifier: NCT03018639, retrospectively registered on January 9, 2017.

Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study

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Cathrine F. Hjorth

2016-09-01

education, poor mental health was a predictor of dropout (OR = 5.2, CI = 1.6–17.3, which was not seen females in higher education (OR = 1.2, CI = 0.5–3.1. Conclusions Poor mental health was significantly associated to dropout among students in vocational and higher education. Males in higher education had five times the risk of dropout when reporting poor mental health, while no such association was found for females.

A Systematic Review and Meta-Analysis Estimating the Expected Dropout Rates in Randomized Controlled Trials on Yoga Interventions

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Holger Cramer

2016-01-01

Full Text Available A reasonable estimation of expected dropout rates is vital for adequate sample size calculations in randomized controlled trials (RCTs. Underestimating expected dropouts rates increases the risk of false negative results while overestimating rates results in overly large sample sizes, raising both ethical and economic issues. To estimate expected dropout rates in RCTs on yoga interventions, MEDLINE/PubMed, Scopus, IndMED, and the Cochrane Library were searched through February 2014; a total of 168 RCTs were meta-analyzed. Overall dropout rate was 11.42% (95% confidence interval [CI] = 10.11%, 12.73% in the yoga groups; rates were comparable in usual care and psychological control groups and were slightly higher in exercise control groups (rate = 14.53%; 95% CI = 11.56%, 17.50%; odds ratio = 0.82; 95% CI = 0.68, 0.98; p=0.03. For RCTs with durations above 12 weeks, dropout rates in yoga groups increased to 15.23% (95% CI = 11.79%, 18.68%. The upper border of 95% CIs for dropout rates commonly was below 20% regardless of study origin, health condition, gender, age groups, and intervention characteristics; however, it exceeded 40% for studies on HIV patients or heterogeneous age groups. In conclusion, dropout rates can be expected to be less than 15 to 20% for most RCTs on yoga interventions. Yet dropout rates beyond 40% are possible depending on the participants’ sociodemographic and health condition.

Evaluation of factors associated with psychiatric patient dropout at a university outpatient clinic in Japan.

Science.gov (United States)

Minamisawa, Atsumi; Narumoto, Jin; Yokota, Isao; Fukui, Kenji

2016-01-01

Patient dropout from treatment can lead to a deterioration in clinical condition, thereby increasing the need for more intensive therapy that incurs substantial social and economic losses. The aim of this study was to identify factors related to psychiatric patient dropout at a university outpatient clinic in Japan. We retrospectively examined the medical charts of new psychiatric patients who were diagnosed with either a mood disorder (International Classification of Diseases, 10th revision, code: F3) or an anxiety disorder (F4) in the outpatient clinic at Kyoto Prefectural University of Medicine Hospital in Kyoto, Japan, between April 2010 and March 2013. The baseline characteristics of the patients (age, sex, Global Assessment of Functioning score, Clinical Global Impression-Severity of Illness score, education, occupation, marital status, duration of treatment, and prior treatment history), treating psychiatrist experience in years, and sex concordance between the patients and their treating psychiatrists were analyzed using Cox regression models. From among 1,626 eligible new patients during the study period, 532 patients were enrolled in the study (F3: n=176; F4: n=356). The dropout rate was 35.7%, which was similar to that of previous studies. Higher educational level, being married, and lower Global Assessment of Functioning scores were associated with a lower dropout rate. Although psychiatrist experience was not significantly associated with patient dropout in the multivariate analysis, patients treated by less experienced psychiatrists had a higher hazard ratio for dropout (1.31; 95% confidence interval: 0.94-1.85). In order to reduce the dropout rate, special focus should be placed on patients with the factors identified in this study, and young psychiatrists should undergo further education to foster adherence.

Investigating the Impact of Financial Aid on Student Dropout Risks: Racial and Ethnic Differences

Science.gov (United States)

Chen, Rong; DesJardins, Stephen L.

2010-01-01

This study focuses on the differences in college student dropout behavior among racial/ethnic groups. We employ event history methods and data from the Beginning Postsecondary Students (BPS) and National Postsecondary Student Aid Study (NPSAS) surveys to investigate how financial aid may differentially influence dropout risks among these student…

Shaping the Social: design of a settings-based intervention study to improve well-being and reduce smoking and dropout in Danish vocational schools.

Science.gov (United States)

Andersen, Susan; Tolstrup, Janne Schurmann; Rod, Morten Hulvej; Ersbøll, Annette Kjær; Sørensen, Betina Bang; Holmberg, Teresa; Johansen, Christoffer; Stock, Christiane; Laursen, Bjarne; Zinckernagel, Line; Øllgaard, Anne Louise; Ingholt, Liselotte

2015-06-20

The social environment at schools is an important setting to promote educational attainment, and health and well-being of young people. However, within upper secondary education there is a need for evidence-based school intervention programmes. The Shaping the Social intervention is a comprehensive programme integrating social and educational activities to promote student well-being and reduce smoking and dropout in upper secondary vocational education. The evaluation design is reported here. The evaluation employed a non-randomised cluster controlled design, and schools were selected to either implement the intervention or continue with normal practice for comparison. In the baseline survey conducted 2011-2012, 2,329 students from four intervention schools and 3,371 students from six comparison schools answered a computer-based questionnaire during class, representing 73% and 81% of eligible students, and 22% of all technical/agricultural vocational schools in Denmark. Follow-up assessment was conducted 10 weeks after baseline and at the same time teachers of the intervention classes answered a questionnaire about implementation. School dropout rates will be tracked via national education registers through a 2-year follow-up period. Shaping the Social was designed to address that students at Danish vocational schools constitute a high risk population concerning health behaviour as well as school dropout by modifying the school environment, alongside developing appropriate evaluation strategies. To address difficulties in implementing settings-based interventions, as highlighted in prior research, the strategy was to involve intervention schools in the development of the intervention. Baseline differences will be included in the effectiveness analysis, so will the impact of likely mediators and moderators of the intervention. ISRCTN57822968. Date of registration: 16/01/2013.

ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION

OpenAIRE

A. Saranya; J. Rajeswari

2016-01-01

Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students. In this paper, we have collected different database from various colleges, among these 500 best real attributes are identified in order to identify the factor that affecting dropout students using neural based classification algorithm and different mining technique are implemented for dat...

Effectiveness of different nursing handover styles for ensuring continuity of information in hospitalised patients

NARCIS (Netherlands)

Smeulers, Marian; Lucas, Cees; Vermeulen, Hester

2014-01-01

An accurate handover of clinical information is of great importance to continuity and safety of care. If clinically relevant information is not shared accurately and in a timely manner it may lead to adverse events, delays in treatment and diagnosis, inappropriate treatment and omission of care.

How Do Tertiary Dropouts Fare in the Labour Market? A Comparison between EU Countries

Science.gov (United States)

Schnepf, Sylke V.

2017-01-01

Dropping out of university is regularly discussed as a negative indicator. However, research on actual career trajectories of dropouts is virtually non-existent. This study estimates the association between tertiary dropouts and career chances in 15 European countries. Using data from the 2011 Programme for the International Assessment of Adult…

Estimated mental retardation and school dropout in a sample of students from state public schools in Porto Alegre, Brazil

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Tramontina Silzá

2002-01-01

Full Text Available OBJECTIVES: To assess the association between estimated Mental Retardation (MR and school dropout in a sample of students of the third and fourth grades at state schools in Porto Alegre, the capital of the southernmost state of Brazil. METHOD: In this case - control study, students that dropped out from schools (n=44 and a control group who continued attending schools (n=44 had their intelligence quotient (IQ determined by the vocabulary and cubes subtests of the Wescheler Intelligence Scale fraction three-quarters third edition (WISCfraction three-quartersIII. Students with IQ lower than 70 were considered as potential cases of MR. Other prevalent mental disorders in this age range were assessed in both groups using the Schedule for Affective Disorders and Schizophrenia for Schoolfraction three-quarters Age Children, Epidemiological Version (K-SADS-E. RESULTS: The prevalence of potential MR was significantly higher in the dropped out group than in the control group (p<0.001. Odds ratio for school dropout was significantly higher in the presence of MR even after controlling for potentially confounding factors (age, conduct disorder, grade repetition, family structure and income (p<0.01. CONCLUSION: Children with IQ lower than 70 (potential MR were at higher risk for school dropout. These children need to be identified at school and specific educational strategies should be implemented to assure their inclusion in the learning process.

The space-time model according to dimensional continuous space-time theory

International Nuclear Information System (INIS)

Martini, Luiz Cesar

2014-01-01

This article results from the Dimensional Continuous Space-Time Theory for which the introductory theoretician was presented in [1]. A theoretical model of the Continuous Space-Time is presented. The wave equation of time into absolutely stationary empty space referential will be described in detail. The complex time, that is the time fixed on the infinite phase time speed referential, is deduced from the New View of Relativity Theory that is being submitted simultaneously with this article in this congress. Finally considering the inseparable Space-Time is presented the duality equation wave-particle.

Parental Background and University Dropout in Italy

Science.gov (United States)

Aina, Carmen

2013-01-01

Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household's cultural and financial conditions on shaping investment in tertiary education and its failure,…

Psychological and Educational Variables in University Dropout

Science.gov (United States)

Bethencourt, Jose Tomas; Cabrera, Lidia; Hernandez, Juan Andres; Alvarez-Perez, Pedro; Gonzalez-Afonso, Miriam

2008-01-01

Introduction: The purpose of this research is to demonstrate that on the perceptions of university students, the student variables are seen as most important than the context variables to dropout their university studies. Method: The used methodology was cross-sectional or of cut, of retrospective type. 558 undergraduates were interviewed by…

HST/WFC3 Early Release Science In The GOODS-South Field: UV-dropout Galaxies At Z=2-3

Science.gov (United States)

Hathi, Nimish P.; Ryan, R. E., Jr.; Cohen, S. H.; Yan, H.; Windhorst, R. A.; McCarthy, P. J.; O'Connell, R. W.; Koekemoer, A. M.; SOC, WFC3

2010-01-01

We combine new high sensitivity of Ultraviolet (UV) imaging from the Wide Field Camera 3 (WFC3) on the Hubble Space Telescope (HST) with existing deep HST/ACS optical (F435W, F606W, F775W and F850LP) images from the GOODS program to identify UV-dropouts, which are galaxy candidates at z=2-3. These new HST/WFC3 observations were taken over 50 sq. arcminutes in the GOODS-South field as a part of the Early Release Science program. The uniqueness of these new UV data is that they are observed in 3 filters (F225W, F275W and F336W), which allows us to identify two different sets of UV-dropout samples. We apply (F275W-F336W) vs. (F336W-F435W) color selection criteria to identify F275W-dropout (z=2) galaxy candidates and (F336W-F435W) vs. (F435W-F606W) criteria to identify F336W-dropout (z=3) galaxy candidates. Multi-wavelength imaging and extensive spectroscopic follow-up observations in this field enable us to carefully access validity of our UV-dropout candidates. We estimate number counts and rest-frame UV Luminosity functions for galaxies at z=2-3, and these results are compared to other surveys at similar redshifts. This project is based on Early Release Science observations made by the WFC3 Scientific Oversight Committee. We are grateful to the Director of the Space Telescope Science Institute for awarding Director's Discretionary time for this program. Support for program #11359 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555.

Impact of dropout of female volunteer community health workers: An exploration in Dhaka urban slums

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Alam Khurshid

2012-08-01

Full Text Available Abstract Background The model of volunteer community health workers (CHWs is a common approach to serving the poor communities in developing countries. BRAC, a large NGO in Bangladesh, is a pioneer in this area, has been using female CHWs as core workers in its community-based health programs since 1977. After 25 years of implementing of the CHW model in rural areas, BRAC has begun using female CHWs in urban slums through a community-based maternal health intervention. However, BRAC experiences high dropout rates among CHWs suggesting a need to better understand the impact of their dropout which would help to reduce dropout and increase program sustainability. The main objective of the study was to estimate impact of dropout of volunteer CHWs from both BRAC and community perspectives. Also, we estimated cost of possible strategies to reduce dropout and compared whether these costs were more or less than the costs borne by BRAC and the community. Methods We used the ‘ingredient approach’ to estimate the cost of recruiting and training of CHWs and the so-called ‘friction cost approach’ to estimate the cost of replacement of CHWs after adapting. Finally, we estimated forgone services in the community due to CHW dropout applying the concept of the friction period. Results In 2009, average cost per regular CHW was US$ 59.28 which was US$ 60.04 for an ad-hoc CHW if a CHW participated a three-week basic training, a one-day refresher training, one incentive day and worked for a month in the community after recruitment. One month absence of a CHW with standard performance in the community meant substantial forgone health services like health education, antenatal visits, deliveries, referrals of complicated cases, and distribution of drugs and health commodities. However, with an additional investment of US$ 121 yearly per CHW BRAC could save another US$ 60 invested an ad-hoc CHW plus forgone services in the community. Conclusion Although CHWs

Exploring Regional and Institutional Factors of International Students' Dropout: The South Korea Case

Science.gov (United States)

Jung, Jisun; Kim, Yangson

2018-01-01

With an increasing number of international students in South Korea, the issue of retaining these students and reducing their dropout rates has become important. This study explores the multilevel factors that affect the institutional dropout rate among international students in Korea. The research questions are as follows: (a) to what extent do…

Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks

DEFF Research Database (Denmark)

Bortsova, Gerda; van Tulder, Gijs; Dubost, Florian

2017-01-01

connections circumvent them. We investigate the effect of skip connections and dropout. In addition, we propose a simple problem-specific modification of the network objective function that restricts the focus to the most important image regions and simplifies the optimization. We train and validate our model...... convolutional neural network that we extend with two regularization techniques. Firstly, we use deep supervision to encourage discriminative features in the hidden layers. Secondly, we augment the network with skip connections, as in the recently developed ResNet, and dropout layers, inserted in a way that skip...

Dose-rate effects of low-dropout voltage regulator at various biases

International Nuclear Information System (INIS)

Wang Yiyuan; Zheng Yuzhan; Gao Bo; Chen Rui; Fei Wuxiong; Lu Wu; Ren Diyuan

2010-01-01

A low-dropout voltage regulator, LM2941, was irradiated by 60 Co γ-rays at various dose rates and biases for investigating the total dose and dose rate effects. The radiation responses show that the key electrical parameters, including its output and dropout voltage, and the maximum output current, are sensitive to total dose and dose rates, and are significantly degraded at low dose rate and zero bias. The integrated circuits damage change with the dose rates and biases, and the dose-rate effects are relative to its electric field. (authors)

Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks

DEFF Research Database (Denmark)

Bortsova, Gerda; van Tulder, Gijs; Dubost, Florian

2017-01-01

convolutional neural network that we extend with two regularization techniques. Firstly, we use deep supervision to encourage discriminative features in the hidden layers. Secondly, we augment the network with skip connections, as in the recently developed ResNet, and dropout layers, inserted in a way that skip...... connections circumvent them. We investigate the effect of skip connections and dropout. In addition, we propose a simple problem-specific modification of the network objective function that restricts the focus to the most important image regions and simplifies the optimization. We train and validate our model...

Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method

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Mingjie Tan

2015-02-01

Full Text Available The high rate of dropout is a serious problem in E-learning program. Thus it has received extensive concern from the education administrators and researchers. Predicting the potential dropout students is a workable solution to prevent dropout. Based on the analysis of related literature, this study selected student’s personal characteristic and academic performance as input attributions. Prediction models were developed using Artificial Neural Network (ANN, Decision Tree (DT and Bayesian Networks (BNs. A large sample of 62375 students was utilized in the procedures of model training and testing. The results of each model were presented in confusion matrix, and analyzed by calculating the rates of accuracy, precision, recall, and F-measure. The results suggested all of the three machine learning methods were effective in student dropout prediction, and DT presented a better performance. Finally, some suggestions were made for considerable future research.

A Maximum-Likelihood Method to Correct for Allelic Dropout in Microsatellite Data with No Replicate Genotypes

Science.gov (United States)

Wang, Chaolong; Schroeder, Kari B.; Rosenberg, Noah A.

2012-01-01

Allelic dropout is a commonly observed source of missing data in microsatellite genotypes, in which one or both allelic copies at a locus fail to be amplified by the polymerase chain reaction. Especially for samples with poor DNA quality, this problem causes a downward bias in estimates of observed heterozygosity and an upward bias in estimates of inbreeding, owing to mistaken classifications of heterozygotes as homozygotes when one of the two copies drops out. One general approach for avoiding allelic dropout involves repeated genotyping of homozygous loci to minimize the effects of experimental error. Existing computational alternatives often require replicate genotyping as well. These approaches, however, are costly and are suitable only when enough DNA is available for repeated genotyping. In this study, we propose a maximum-likelihood approach together with an expectation-maximization algorithm to jointly estimate allelic dropout rates and allele frequencies when only one set of nonreplicated genotypes is available. Our method considers estimates of allelic dropout caused by both sample-specific factors and locus-specific factors, and it allows for deviation from Hardy–Weinberg equilibrium owing to inbreeding. Using the estimated parameters, we correct the bias in the estimation of observed heterozygosity through the use of multiple imputations of alleles in cases where dropout might have occurred. With simulated data, we show that our method can (1) effectively reproduce patterns of missing data and heterozygosity observed in real data; (2) correctly estimate model parameters, including sample-specific dropout rates, locus-specific dropout rates, and the inbreeding coefficient; and (3) successfully correct the downward bias in estimating the observed heterozygosity. We find that our method is fairly robust to violations of model assumptions caused by population structure and by genotyping errors from sources other than allelic dropout. Because the data sets

Teachers Make the Critical Difference in Dropout Prevention.

Science.gov (United States)

Bucci, John A.; Reitzammer, Ann F.

1992-01-01

Teachers' daily interaction is a powerful influence on at-risk students. Effective dropout prevention components include positive instructional environment, enhancement of self-esteem, alternative education, absence monitoring, mentoring, parent involvement, social and health services, teen parent programs, and transition strategies. (SK)

Robust Controller for Delays and Packet Dropout Avoidance in Solar-Power Wireless Network

OpenAIRE

Al-Azzawi, Waleed

2013-01-01

Solar Wireless Networked Control Systems (SWNCS) are a style of distributed control systems where sensors, actuators, and controllers are interconnected via a wireless communication network. This system setup has the benefit of low cost, flexibility, low weight, no wiring and simplicity of system diagnoses and maintenance. However, it also unavoidably calls some wireless network time delays and packet dropout into the design procedure. Solar lighting system offers a clean environment, therefo...

DROPOUTS IN SOLAR ENERGETIC PARTICLES: ASSOCIATED WITH LOCAL TRAPPING BOUNDARIES OR CURRENT SHEETS?

International Nuclear Information System (INIS)

Seripienlert, A.; Ruffolo, D.; Matthaeus, W. H.; Chuychai, P.

2010-01-01

In recent observations by the Advanced Composition Explorer, the intensity of solar energetic particles exhibits sudden, large changes known as dropouts. These have been explained in terms of turbulence or a flux tube structure in the solar wind. Dropouts are believed to indicate filamentary magnetic connection to a localized particle source near the solar surface, and computer simulations of a random-phase model of magnetic turbulence have indicated a spatial association between dropout features and local trapping boundaries (LTBs) defined for a two-dimensional (2D) + slab model of turbulence. Previous observations have shown that dropout features are not well associated with sharp magnetic field changes, as might be expected in the flux tube model. Random-phase turbulence models do not properly treat sharp changes in the magnetic field, such as current sheets, and thus cannot be tested in this way. Here, we explore the properties of a more realistic magnetohydrodynamic (MHD) turbulence model (2D MHD), in which current sheets develop and the current and magnetic field have characteristic non-Gaussian statistical properties. For this model, computer simulations that trace field lines to determine magnetic connection from a localized particle source indicate that sharp particle gradients should frequently be associated with LTBs, sometimes with strong 2D magnetic fluctuations, and infrequently with current sheets. Thus, the 2D MHD + slab model of turbulent fluctuations includes some realistic features of the flux tube view and is consistent with the lack of an observed association between dropouts and intense magnetic fields or currents.

IRD dropout study

Science.gov (United States)

Yalowitz, Jeffrey S.; Schroer, Michael A.; Dickson, John E., Jr.

1992-01-01

This final report describes work performed by SRS Technologies for the NASA Marshall Space Flight Center under Contract NAS8-39077, entitled 'Integrated Receiver-Decoder Dropout Study'. The purpose of the study was to determine causes of signal fading effects on ultra-high-frequency (UHF) range safety transmissions to the Space Shuttle during flyout. Of particular interest were deep fades observed at the External Tank (ET) Integrated Receiver-Decoder (IRD) during the flyout interval between solid rocket booster separation and ET separation. Analytical and simulation methods were employed in this study to assess observations captured in flight telemetry data records. Conclusions based on the study are presented in this report, and recommendations are given for future experimental validation of the results.

Study the Precipitation of Radiation Belt Electrons during the Rapid Dropout Events

Science.gov (United States)

Tu, W.; Cunningham, G.; Li, X.; Chen, Y.

2015-12-01

During the main phase of storms, the relativistic electron flux in the radiation belt can drop by orders of magnitude on timescales of a few hours. Where do the electrons go? This is one of the most important outstanding questions in radiation belt studies. Radiation belt electrons can be lost either by transport across the magnetopause into interplanetary space or by precipitation into the atmosphere. In this work we first conduct a survey of the MeV electron dropouts using the Van Allen Probes data in conjunction with the low-altitude measurements of precipitating electrons by 6 NOAA/POES satellites. The dropout events are categorized into three types: precipitation-loss dominant, outward radial diffusion dominant, or with contributions from both mechanisms. The survey results suggest the relative importance of precipitation and outward radial diffusion to the fast dropouts of radiation belt electrons, and their extent in L-shell and electron energy. Then, for specific events identified as dominated by precipitation loss, we use the Drift-Diffusion model, which includes the effects of azimuthal drift and pitch angle diffusion, to simulate both the electron dropout observed by Van Allen Probes and the distributions of drift-loss-cone electrons observed by multiple low-earth-orbit satellites (6 POES and the Colorado Student Space Weather Experiment). The model quantifies the electron precipitation loss and pitch angle diffusion coefficient, Dxx, with high temporal and spatial resolution. Finally, by comparing the Dxx derived from the model with those estimated from the quasi-linear theory using wave data from Van Allen Probes and other event-specific wave models, we are able to test the validity of quasi-linear theory and seek direct evidence of the wave-particle interactions during the dropouts.

Rule-of-thumb adjustment of sample sizes to accommodate dropouts in a two-stage analysis of repeated measurements.

Science.gov (United States)

Overall, John E; Tonidandel, Scott; Starbuck, Robert R

2006-01-01

Recent contributions to the statistical literature have provided elegant model-based solutions to the problem of estimating sample sizes for testing the significance of differences in mean rates of change across repeated measures in controlled longitudinal studies with differentially correlated error and missing data due to dropouts. However, the mathematical complexity and model specificity of these solutions make them generally inaccessible to most applied researchers who actually design and undertake treatment evaluation research in psychiatry. In contrast, this article relies on a simple two-stage analysis in which dropout-weighted slope coefficients fitted to the available repeated measurements for each subject separately serve as the dependent variable for a familiar ANCOVA test of significance for differences in mean rates of change. This article is about how a sample of size that is estimated or calculated to provide desired power for testing that hypothesis without considering dropouts can be adjusted appropriately to take dropouts into account. Empirical results support the conclusion that, whatever reasonable level of power would be provided by a given sample size in the absence of dropouts, essentially the same power can be realized in the presence of dropouts simply by adding to the original dropout-free sample size the number of subjects who would be expected to drop from a sample of that original size under conditions of the proposed study.

Dropout rates in medical students at one school before and after the installation of admission tests in Austria.

Science.gov (United States)

Reibnegger, Gilbert; Caluba, Hans-Christian; Ithaler, Daniel; Manhal, Simone; Neges, Heide Maria; Smolle, Josef

2011-08-01

Admission to medical studies in Austria since academic year 2005-2006 has been regulated by admission tests. At the Medical University of Graz, an admission test focusing on secondary-school-level knowledge in natural sciences has been used for this purpose. The impact of this important change on dropout rates of female versus male students and older versus younger students is reported. All 2,860 students admitted to the human medicine diploma program at the Medical University of Graz from academic years 2002-2003 to 2008-2009 were included. Nonparametric and semiparametric survival analysis techniques were employed to compare cumulative probability of dropout between demographic groups. Cumulative probability of dropout was significantly reduced in students selected by active admission procedure versus those admitted openly (P students was only 0.145 (95% CI, 0.106-0.198). Among openly admitted students, but not for selected ones, the cumulative probabilities for dropout were higher for females (P students (P dropout hazard is highest during the second year of study. The introduction of admission testing significantly decreased the cumulative probability for dropout. In openly admitted students a significantly higher risk for dropout was found in female students and in older students, whereas no such effects can be detected after admission testing. Future research should focus on the sex dependence, with the aim of improving success rates among female applicants on the admission tests.

Dropout prediction in a public mental health intervention for sub-threshold and mild panic disorder

NARCIS (Netherlands)

Meulenbeek, Petrus Antonius Maria; Seeger, Kristin; ten Klooster, Peter M.

2015-01-01

Dropout is a common and serious problem in psychological research and practice. When participants terminate treatment prematurely, this may have methodological and clinical consequences. The aim of this study was to identify predictors of dropout in a sample of patients (N = 217) with sub-threshold

Factors associated with pretreatment and treatment dropouts: comparisons between Aboriginal and non-Aboriginal clients admitted to medical withdrawal management

Science.gov (United States)

2013-01-01

Background Addiction treatment faces high pretreatment and treatment dropout rates, especially among Aboriginals. In this study we examined characteristic differences between Aboriginal and non-Aboriginal clients accessing an inpatient medical withdrawal management program, and identified risk factors associated with the probabilities of pretreatment and treatment dropouts, respectively. Methods 2231 unique clients (Aboriginal = 451; 20%) referred to Vancouver Detox over a two-year period were assessed. For both Aboriginal and non-Aboriginal groups, multivariate logistic regression analyses were conducted with pretreatment dropout and treatment dropout as dependent variables, respectively. Results Aboriginal clients had higher pretreatment and treatment dropout rates compared to non-Aboriginal clients (41.0% vs. 32.7% and 25.9% vs. 20.0%, respectively). For Aboriginal people, no fixed address (NFA) was the only predictor of pretreatment dropout. For treatment dropout, significant predictors were: being female, having HCV infection, and being discharged on welfare check issue days or weekends. For non-Aboriginal clients, being male, NFA, alcohol as a preferred substance, and being on methadone maintenance treatment (MMT) at referral were associated with pretreatment dropout. Significant risk factors for treatment dropout were: being younger, having a preferred substance other than alcohol, having opiates as a preferred substance, and being discharged on weekends. Conclusions Our results highlight the importance of social factors for the Aboriginal population compared to substance-specific factors for the non-Aboriginal population. These findings should help clinicians and decision-makers to recognize the importance of social supports especially housing and initiate appropriate services to improve treatment intake and subsequent retention, physical and mental health outcomes and the cost-effectiveness of treatment. PMID:24325629

Psychological well-being as a predictor of dropout among recently qualified Danish eldercare workers

DEFF Research Database (Denmark)

Giver, Hanne; Faber, Anne; Hannerz, Harald

2010-01-01

BACKGROUND: The eldercare sector is characterized by a shortage of labour and a high turnover rate, which constitutes a major challenge for the ageing societies of western Europe. The aim of the present study was to investigate if a low level of psychological well-being at the time of graduation...... predicts dropout among eldercare workers two years later. METHODS: We included 4,968 female eldercare trainees in this prospective study, recruited from 27 of the 28 Danish colleges for eldercare. Psychological well-being in 2004 was measured with the five-item Mental Health Inventory (MHI-5) of the 36......-item Short-Form Health Survey (SF-36). We linked the survey data with national register data to obtain information about labour market attachment two years after qualification. RESULTS: In 2006, 37% of all participants had left the eldercare sector. Compared to participants with high psychological well...

Gender, Success, and Drop-Out during a Resistance Exercise Program in Community Dwelling Old Adults

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O. G. Geirsdottir

2017-01-01

Full Text Available Background. Resistance exercise training can be effective against sarcopenia. We identified predictors of drop-out and compared physical outcomes between men and women after such training. Methods. Subjects (N=236, 73.7±5.7 years participated in a 12-week resistance exercise program. Outcome variables were measured at baseline and endpoint. Results. Drop-out was 11.9% and not significantly different between genders. Drop-outs were significantly older and had poorer strength and physical function in comparison to completers. Anthropometrics, QoL, and cognitive function were not related to drop-out. According to multivariate analysis, gait speed and physical activity were the strongest predictors of drop-out. After the training, gains in lean mass or appendicular muscle were significantly higher in men than women; however relative gains in appendicular muscle as well as absolute improvements in strength and function were similar in men and women, respectively. Conclusions. Participants who drop out are older, have poorer physical function, and are less physically active. Old women do not drop out more frequently than men and show meaningful improvements in relevant outcomes similar to men after such a training program. The trial is registered at the US National Library of Medicine (NCT01074879.

Detectability of Granger causality for subsampled continuous-time neurophysiological processes.

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Barnett, Lionel; Seth, Anil K

2017-01-01

Granger causality is well established within the neurosciences for inference of directed functional connectivity from neurophysiological data. These data usually consist of time series which subsample a continuous-time biophysiological process. While it is well known that subsampling can lead to imputation of spurious causal connections where none exist, less is known about the effects of subsampling on the ability to reliably detect causal connections which do exist. We present a theoretical analysis of the effects of subsampling on Granger-causal inference. Neurophysiological processes typically feature signal propagation delays on multiple time scales; accordingly, we base our analysis on a distributed-lag, continuous-time stochastic model, and consider Granger causality in continuous time at finite prediction horizons. Via exact analytical solutions, we identify relationships among sampling frequency, underlying causal time scales and detectability of causalities. We reveal complex interactions between the time scale(s) of neural signal propagation and sampling frequency. We demonstrate that detectability decays exponentially as the sample time interval increases beyond causal delay times, identify detectability "black spots" and "sweet spots", and show that downsampling may potentially improve detectability. We also demonstrate that the invariance of Granger causality under causal, invertible filtering fails at finite prediction horizons, with particular implications for inference of Granger causality from fMRI data. Our analysis emphasises that sampling rates for causal analysis of neurophysiological time series should be informed by domain-specific time scales, and that state-space modelling should be preferred to purely autoregressive modelling. On the basis of a very general model that captures the structure of neurophysiological processes, we are able to help identify confounds, and offer practical insights, for successful detection of causal connectivity

Dynamic Output Feedback Control for Nonlinear Networked Control Systems with Random Packet Dropout and Random Delay

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Shuiqing Yu

2013-01-01

Full Text Available This paper investigates the dynamic output feedback control for nonlinear networked control systems with both random packet dropout and random delay. Random packet dropout and random delay are modeled as two independent random variables. An observer-based dynamic output feedback controller is designed based upon the Lyapunov theory. The quantitative relationship of the dropout rate, transition probability matrix, and nonlinear level is derived by solving a set of linear matrix inequalities. Finally, an example is presented to illustrate the effectiveness of the proposed method.

Dropout in the lower tracks of Dutch secondary education : Predictor variables and variation among schools

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Luyten, H; Bosker, R.J.; Dekkers, H; Derks, A

2003-01-01

This study analyses the data from a large-scale longitudinal investigation into the effect of both school and student characteristics on the dropout rate for students in lower secondary education in The Netherlands. Dropout rates were found to vary significantly between schools, but only a single

Of Needles and Haystacks: Building an Accurate Statewide Dropout Early Warning System in Wisconsin

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Knowles, Jared E.

2015-01-01

The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

Teachers' Opinions of Student Dropout from Formal Music Education Centres of the Canary Islands

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Lorenzo Socorro, Sonia; Escandell Bermúdez, María Olga; Castro Sánchez, José Juan

2016-01-01

One hundred and eighty-five teachers were surveyed to determine their opinion of student dropout from formal music centres in the Canary Islands. The goal of the study was to investigate the causes of dropout and strategies to prevent it. Teachers' opinions were collected by means of a questionnaire. The influence of the environment on the…

Student Enrollment and Dropout: An Evaluation Study of DCSA Program at Bangladesh Open University

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Rashid, Mohammad Mamunur; Jahan, Monira; Islam, Md. Anwarul; Ratna, Meherin Munjarin

2015-01-01

The aim of this study is to investigate the present status of DCSA program focusing on student enrollment, dropout, and completion trends. The study tries to explore the factors that attract or pull students to enroll in the program and push them to dropout from the program. Secondary data analysis and interview are used to generate data of the…

The problem with time in mixed continuous/discrete time modelling

NARCIS (Netherlands)

Rovers, K.C.; Kuper, Jan; Smit, Gerardus Johannes Maria

The design of cyber-physical systems requires the use of mixed continuous time and discrete time models. Current modelling tools have problems with time transformations (such as a time delay) or multi-rate systems. We will present a novel approach that implements signals as functions of time,

GOAL Academy: Giving Dropouts a Second Chance

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Dicksteen, Lisa Napell

2012-01-01

The U.S. Department of Education's (ED) National Center for Education Statistics defines dropouts as "16- through 21-year-olds who are not enrolled in school and have not earned a high school credential (either a diploma or an equivalency credential such as a General Education Development (GED) certificate)." According to the feds, the…

Consensus for linear multi-agent system with intermittent information transmissions using the time-scale theory

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Taousser, Fatima; Defoort, Michael; Djemai, Mohamed

2016-01-01

This paper investigates the consensus problem for linear multi-agent system with fixed communication topology in the presence of intermittent communication using the time-scale theory. Since each agent can only obtain relative local information intermittently, the proposed consensus algorithm is based on a discontinuous local interaction rule. The interaction among agents happens at a disjoint set of continuous-time intervals. The closed-loop multi-agent system can be represented using mixed linear continuous-time and linear discrete-time models due to intermittent information transmissions. The time-scale theory provides a powerful tool to combine continuous-time and discrete-time cases and study the consensus protocol under a unified framework. Using this theory, some conditions are derived to achieve exponential consensus under intermittent information transmissions. Simulations are performed to validate the theoretical results.

Quantum teleportation for continuous variables and related quantum information processing

International Nuclear Information System (INIS)

Furusawa, Akira; Takei, Nobuyuki

2007-01-01

Quantum teleportation is one of the most important subjects in quantum information science. This is because quantum teleportation can be regarded as not only quantum information transfer but also a building block for universal quantum information processing. Furthermore, deterministic quantum information processing is very important for efficient processing and it can be realized with continuous-variable quantum information processing. In this review, quantum teleportation for continuous variables and related quantum information processing are reviewed from these points of view

Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss

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Ryoko Sawamoto

2016-01-01

Full Text Available Objective: To investigate predictors of dropout from a group cognitive behavioral therapy (CBT intervention for overweight or obese women. Methods: 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. Results: 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Conclusion: Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women.

Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss.

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Sawamoto, Ryoko; Nozaki, Takehiro; Furukawa, Tomokazu; Tanahashi, Tokusei; Morita, Chihiro; Hata, Tomokazu; Komaki, Gen; Sudo, Nobuyuki

2016-01-01

To investigate predictors of dropout from a group cognitive behavioral therapy (CBT) intervention for overweight or obese women. 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude) were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women. © 2016 S. Karger GmbH, Freiburg.

Who Needs a Second Chance? The Challenge of Documenting K-12 Dropout and Why Adult Educators Should Be Concerned

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Zachry, Elizabeth M.

2010-01-01

This literature review examines current practice in reporting school dropout rates and the impact that school dropout may have on adult education programs and policies. First, I investigate the five dropout estimates commonly reported by the U.S. Department of Education (USDOE), examining how these measures vary in their estimation of school…

Dropout from physical activity interventions in people living with HIV: a systematic review and meta-analysis.

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Vancampfort, D; Mugisha, J; Richards, J; De Hert, M; Lazzarotto, A R; Schuch, F B; Probst, M; Stubbs, B

2017-05-01

Physical activity (PA) interventions have been shown to improve the health of people living with HIV (PLWH), yet treatment dropout poses an important challenge. We conducted a meta-analysis to investigate the prevalence and predictors of treatment dropout in PA interventions in PLWH. Electronic databases were searched for records up to September 2016. Randomized control trials of PA interventions in PLWH reporting dropout rates were included. Random effects meta-analysis and meta-regression analyses were employed. In 36 studies involving 49 PA intervention arms, 1128 PLWH were included (mean age = 41.6 years; 79.3% male; 39% White). The trim and fill adjusted treatment dropout rate was 29.3% (95% CI = 24.5-34.7%). There was a significant lower dropout rate in resistance training interventions compared with aerobic (p = 0.003) PA interventions, in studies utilizing supervised interventions throughout the study period (p dropout rates were a lower percentage of male participants (β = 1.15, standard error (SE) = 0.49, z = 2.0, p = 0.048), a lower body mass index(BMI) (β = 0.14, SE = 0.06, z = 2.16, p = 0.03), and a lower cardiorespiratory fitness (β = 0.10, SE = 0.04, z = 2.7, p = 0.006). The dropout from PA interventions is much higher in PLWH than in many other populations with chronic morbidities. Qualified professionals (i.e., exercise physiologists, physical educators, or physical therapists) should be incorporated as key care providers in the multidisciplinary care of HIV/AIDS and should prescribe supervised PA for PLWH in order to enhance adherence and reduce the burden of HIV/AIDS. Special attention should be given men, those with a higher BMI, and those with a lower cardiorespiratory fitness.

Allelic Dropout in the ENG Gene, Affecting the Results of Genetic Testing in Hereditary Hemorrhagic Telangiectasia

DEFF Research Database (Denmark)

Tørring, Pernille M; Kjeldsen, A.D.; Ousager, L.B.

2012-01-01

Background: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal-dominant vascular disorder with three disease-causing genes identified to date: ENG, ACVRL1, and SMAD4. We report an HHT patient with allelic dropout that on routine sequence analysis for a known mutation in the family (c.817......-3T>G in ENG) initially seemed to be homozygous for the mutation. Aim: To explore the possibility of allelic dropout causing a false result in this patient. Methods: Mutation analysis of additional family members was performed and haplotype analysis carried out. New primers were designed to reveal...... the presence of a possible sequence variant, which could explain the presumed allelic dropout. Results: Allelic dropout caused by a six-nucleotide duplication close to the standard reverse primer was the assumed cause of a false homozygous diagnosis. Conclusion: Sequence variants outside of the primer regions...

Social factors outside of family and school related to student dropout

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Stepanović-Ilić Ivana

2017-01-01

Full Text Available The paper presents a systematisation of broader social factors affecting student dropout in Serbia from the framework of Bronfenbrenner’s approach. Although recognised by authors and commonly related to community and education as a system, these factors are rarely investigated. Starting from our previous research into dropout, focused primarily on family and school, this study is aimed at investigating community and systemic factors. The data were compiled by semi-structured interviews with respondents from the following groups (including relevant public statistical data: students who dropped out/are at risk and their parents; school principals and counsellors from schools with high and low attrition rates; teachers’, parents’ and students’ representatives from schools with high dropout rates; social workers in charge of schools with a low attrition rate; representatives of national educational institutions. The findings reveal that factors with a negative impact on children’s education dominate over supportive ones which could have a preventive effect on attrition. Negative influences exist in all social niches: in microsystems (peers prone to risky behaviour, poor neighbourhoods, in weak mesosystem connections of school and family with local institutions, in exosystems (undeveloped regions, up to the macrosystem level (legislative inefficiency, lack of cooperation within educational institutions and between governmental departments. Productive features were observed in mesosystem connections of schools as examples of good practice, as well as at macrosystem level in the form of recognising the dropout problem at the national level. Although preliminary, the obtained results provide useful guidelines for future investigations.

Dropout Prevention: A Study of Prevention Programs Used by High Schools to Increase Graduation Rate

Science.gov (United States)

Simmons, Christopher L.

2013-01-01

This mixed methods study focused on the relationship between dropout prevention programs and graduation rates in one school district in Florida during the 2010-2011 school year. The dropout prevention program data analyzed included high school principals' perceptions in regard to perceived effectiveness, fidelity of implementation, cost efficacy,…

Ethnic Background, Socioeconomic Status, and Problem Severity as Dropout Risk Factors in Psychotherapy with Youth

Science.gov (United States)

de Haan, Anna M.; Boon, Albert E.; Vermeiren, Robert R. J. M.; Hoeve, Machteld; de Jong, Joop T. V. M.

2015-01-01

Background: Dropout from child and adolescent psychotherapy is a common phenomenon which can have negative consequences for the individual later in life. It is therefore important to gain insight on dropout risk factors. Objective: Several potential risk factors [ethnic minority status, a lower socioeconomic status (SES), and higher problem…

School Dropouts or Pushouts? Overcoming Barriers for the Right to Education. CREATE Pathways to Access. Research Monograph No. 40

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Reddy, Anugula N.; Sinha, Shantha

2010-01-01

Persistently high dropout rates are one of the biggest challenges to fulfilling the right to education in India. This paper attempts to assess the magnitude of the problem of dropout. The paper critically reviews the evidence on some of the commonly cited reasons for dropout, including poverty, limited to access to credit, child labour, and…

Relative entropy and waiting time for continuous-time Markov processes

NARCIS (Netherlands)

Chazottes, J.R.; Giardinà, C.; Redig, F.H.J.

2006-01-01

For discrete-time stochastic processes, there is a close connection between return (resp. waiting) times and entropy (resp. relative entropy). Such a connection cannot be straightforwardly extended to the continuous-time setting. Contrarily to the discrete-time case one needs a reference measure on

Treatment processes and demographic variables as predictors of dropout from trauma-focused cognitive behavioral therapy (TF-CBT) for youth.

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Yasinski, Carly; Hayes, Adele M; Alpert, Elizabeth; McCauley, Thomas; Ready, C Beth; Webb, Charles; Deblinger, Esther

2018-05-22

Premature dropout is a significant concern in trauma-focused psychotherapy for youth. Previous studies have primarily examined pre-treatment demographic and symptom-related predictors of dropout, but few consistent findings have been reported. The current study examined demographic, symptom, and in-session process variables as predictors of dropout from Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) for youth. Participants were a diverse sample of Medicaid-eligible youth (ages 7-17; n = 108) and their nonoffending caregivers (n = 86), who received TF-CBT through an effectiveness study in a community setting. In-session process variables were coded from audio-recorded sessions, and these and pre-treatment demographic variables and symptom levels were examined as predictors of dropout prior to receiving an adequate dose of TF-CBT (parents or relatives. No other demographic or symptom-related factors predicted dropout. These findings highlight the importance of addressing avoidance and therapeutic relationship difficulties in early sessions of TF-CBT to help reduce dropout, and they have implications for improving efforts to disseminate evidence-based trauma-focused treatments. Copyright © 2018 Elsevier Ltd. All rights reserved.

Causes of Student Absenteeism and School Dropouts

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Sahin, Seyma; Arseven, Zeynep; Kiliç, Abdurrahman

2016-01-01

The aim of the study is to investigate the causes of student absenteeism and school dropouts at primary, secondary and high school level in Düzce Province and to develop suggestions for solving these problems. A "case study" design, which is one of the qualitative research approaches, was used in this study. The study group consisted of…

Robustness of crossover trials against subject drop-out - Examples of perpetually connected designs.

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Godolphin, P J; Godolphin, E J

2017-01-01

When performing a repeated measures experiment, such as a clinical trial, there is a risk of subject drop-out during the experiment. If one or more subjects leave the study prematurely, a situation could arise where the eventual design is disconnected, implying that very few treatment contrasts for both direct effects and carryover effects are estimable. This paper aims to identify experimental conditions where this problem with the eventual design can be avoided. It is shown that in the class of uniformly balanced repeated measurement designs consisting of two or more Latin squares, there are planned designs with the following useful property. Provided that all subjects have completed the first two periods of study, such a design will not be replaced by a disconnected eventual design due to drop-out, irrespective of the type of drop-out behaviour that may occur. Designs with this property are referred to as perpetually connected. These experimental conditions are identified and examined in the paper and an example of at least one perpetually connected uniformly balanced repeated measurement design is given in each case. The results improve upon previous contributions in the literature that have been confined largely to cases in which drop-out occurs only in the final periods of study.

a Continuous-Time Positive Linear System

Directory of Open Access Journals (Sweden)

Kyungsup Kim

2013-01-01

Full Text Available This paper discusses a computational method to construct positive realizations with sparse matrices for continuous-time positive linear systems with multiple complex poles. To construct a positive realization of a continuous-time system, we use a Markov sequence similar to the impulse response sequence that is used in the discrete-time case. The existence of the proposed positive realization can be analyzed with the concept of a polyhedral convex cone. We provide a constructive algorithm to compute positive realizations with sparse matrices of some positive systems under certain conditions. A sufficient condition for the existence of a positive realization, under which the proposed constructive algorithm works well, is analyzed.

Mapping of uncertainty relations between continuous and discrete time.

Science.gov (United States)

Chiuchiù, Davide; Pigolotti, Simone

2018-03-01

Lower bounds on fluctuations of thermodynamic currents depend on the nature of time, discrete or continuous. To understand the physical reason, we compare current fluctuations in discrete-time Markov chains and continuous-time master equations. We prove that current fluctuations in the master equations are always more likely, due to random timings of transitions. This comparison leads to a mapping of the moments of a current between discrete and continuous time. We exploit this mapping to obtain uncertainty bounds. Our results reduce the quests for uncertainty bounds in discrete and continuous time to a single problem.

Predicting Treatment Dropout in Parent Training Interventions for Families of School-Aged Children with ADHD

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Schneider, Brian W.; Gerdes, Alyson C.; Haack, Lauren M.; Lawton, Katie E.

2013-01-01

Premature treatment dropout is a problem for many families seeking mental health services for their children. Research is currently limited in identifying factors that increase the likelihood of dropout in families of school-aged children with Attention-Deficit/Hyperactivity Disorder (ADHD). Thus, the goal of the current study was to examine…

A meta-analytic review on treatment dropout in child and adolescent outpatient mental health care

NARCIS (Netherlands)

de Haan, A.M.; Boon, A.E.; de Jong, J.T.V.M.; Hoeve, M.; Vermeiren, R.R.J.M.

2013-01-01

A large proportion (28% up to 75%) of the treatments in youth mental health care results in premature termination (dropout). It is important to gain knowledge of the determinants of dropout because it can have very severe consequences. The aim of our meta-analytic review was to provide an overview

Dropout of a multidisciplinary treatment program for women with fibromyalgia

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Tatiana Rehder Gonçalves

2010-03-01

Full Text Available Objective: To evaluate the dropout of a multidisciplinary treatment program in fibromyalgia (FM. Methods: An observational study conducted during the period of April 2000 to December 2005, including 133 women with fibromyalgia, participating in a multidisciplinary treatment program. Those who had left the treatment for two weeks or more were classified as inactive and contacted by telephone to record the reasons for their noncompliance, which were divided into four groups: 1 Family; 2 Occupations; 3 Medical; 4 Other Reasons. Results: When collecting data, 92 (69.4% women were considered inactive. There was no significant difference between noncompliance before and after six months of treatment. Of the total number of inactive women, 54 (40.8% participants left for medical reasons, 30 (22.6% for other reasons, 26 (19.4% for family reasons and 23 (17.2% due to occupation. There was no statistical difference between the motives of dropout according to the length of stay in the program (p> 0.05. Conclusion: We conclude that the multidisciplinary program for women with fibromyalgia had high levels of noncompliance, half of them occurred in the first six months. Among the main reasons reported for dropout, the medical reasons were more frequent.

Grade Repetition and Primary School Dropout in Uganda

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Kabay, Sarah

2016-01-01

Research on education in low-income countries rarely focuses on grade repetition. When addressed, repetition is typically presented along with early school dropout as the "wasting" of educational resources. Simplifying grade repetition in this way often fails to recognize significant methodological concerns and also overlooks the unique…

Particle Trapping and Dropouts in Magnetic Turbulence in a Spherical Geometry

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Tooprakai, P.; Ruffolo, D.; Matthaeus, W. H.; Chuychai, P.

2006-12-01

The observed dropouts of solar energetic particles from impulsive solar events (i.e., the inhomogeneity and sharp gradients in particle density) indicate the partial filamentation of magnetic connection from small regions of the corona to Earth orbit. This can be understood in terms of persistent trapping of field lines due to small- scale topological structures in the solar wind. We further explore how this turbulence structure should be manifest in particle observations, by evaluating particle trajectories obtained from the Newton-Lorentz equations. By adapting a two-component model of turbulence to spherical geometry, we include the adiabatic focusing of particles. The 2D magnetic field is generated by either 1) a 2D fast Fourier transform, a valid approximation over a small angular region, or 2) a spherical harmonic series with ℓ up to 2000. Dropout features at 1 AU are clearly indicated for low-energy particles, but these features are washed out for E >~ 100 MeV. Different time-intensity profiles are found at locations at 1 AU that are distinct with regard to the small-scale topology. Partially supported by the Thailand Research Fund, the Rachadapisek Sompoj Fund of Chulalongkorn University, and NASA Grant NNG05GG83G.

Autonomous Information Fading and Provision to Achieve High Response Time in Distributed Information Systems

Science.gov (United States)

Lu, Xiaodong; Arfaoui, Helene; Mori, Kinji

In highly dynamic electronic commerce environment, the need for adaptability and rapid response time to information service systems has become increasingly important. In order to cope with the continuously changing conditions of service provision and utilization, Faded Information Field (FIF) has been proposed. FIF is a distributed information service system architecture, sustained by push/pull mobile agents to bring high-assurance of services through a recursive demand-oriented provision of the most popular information closer to the users to make a tradeoff between the cost of information service allocation and access. In this paper, based on the analysis of the relationship that exists among the users distribution, information provision and access time, we propose the technology for FIF design to resolve the competing requirements of users and providers to improve users' access time. In addition, to achieve dynamic load balancing with changing users preference, the autonomous information reallocation technology is proposed. We proved the effectiveness of the proposed technology through the simulation and comparison with the conventional system.

Are Barbie and Ken too cool for school? A case-control study on the relation between gender and dropout.

Science.gov (United States)

Theunissen, Marie-José; de Man, Inge; Verdonk, Petra; Bosma, Hans; Feron, Frans

2015-02-01

As school dropout is an important public health problem that needs to be addressed, we set out to examine whether and how, beyond the well-known effects of sex, gender beliefs and self-reported masculinity and femininity are related to school dropout. The study used a case-control design, consisting of 330 dropout cases and 330 controls still attending school. The respondents, aged between 18 and 23 years, living in the south-east of the Netherlands, were sent a self-administered questionnaire. Separate logistic regression analyses for the male and female participants were used to explore the relation between dropout and gender, controlling for sociodemographic determinants. As indicated by significant curvilinearity, young women were less likely to drop out when they occupied an intermediate positions on the gender variables. Odds of dropout were elevated among highly masculine women (odds ratio = 2.1, 95% confidence interval: 1.1-4.1), and, as indicated by significant interactions, also among highly masculine men with strong normative masculine beliefs and in feminine men who simultaneously considered themselves low on masculinity. Beyond sex, gender is important in the explanation of school dropout. To prevent dropout, public health professionals should assess, monitor and intervene on the basis of gender characteristics. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Potential risk factors associated with risk for drop-out and relapse during and following withdrawal of opioid prescription medication.

Science.gov (United States)

Heiwe, Susanne; Lönnquist, Ingeborg; Källmén, Håkan

2011-10-01

Withdrawal of opioid medication in patients with chronic pain has a drop-out and relapse problem. To evaluate if depressive symptoms, anxiety and pain intensity are potential risk factors for drop-out or relapse during the withdrawal process. Further, to assess internal consistency of scales for assessment of these potential risk factors. Twenty-nine patients were included. After 2 years 28 of these were followed-up. Those with depressive symptoms at baseline had a significant risk for drop-out from the withdrawal program (odds ratio 1.37) and relapse into use of opioids at follow-up (odds ratio 1.44). Drop-outs rated depressive symptoms significantly higher before detoxification. Those who relapsed rated significantly higher for pain intensity, depressive symptoms and abstinence prior to withdrawal. All scales had high reliability. To avoid drop-out and relapse clinical practice need to screen for depressive symptoms, pain intensity, and abstinence. This article presents significant reliability of scales useful within dependency centers. They can be used to identify these risk factors for drop-out and relapse, respectively, when initiating the withdrawal process. Taking these risk factors into consideration could improve the outcome of the withdrawal process by preventing drop-out and relapse. Copyright © 2011 European Federation of International Association for the Study of Pain Chapters. Published by Elsevier Ltd. All rights reserved.

Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time.

Science.gov (United States)

Gholamhosseini, Hamid; Meintjes, Andries; Baig, Mirza; Linden, Maria

2016-01-01

The increasing availability of low cost and easy to use personalized medical monitoring devices has opened the door for new and innovative methods of health monitoring to emerge. Cuff-less and continuous methods of measuring blood pressure are particularly attractive as blood pressure is one of the most important measurements of long term cardiovascular health. Current methods of noninvasive blood pressure measurement are based on inflation and deflation of a cuff with some effects on arteries where blood pressure is being measured. This inflation can also cause patient discomfort and alter the measurement results. In this work, a mobile application was developed to collate the PhotoPlethysmoGramm (PPG) waveform provided by a pulse oximeter and the electrocardiogram (ECG) for calculating the pulse transit time. This information is then indirectly related to the user's systolic blood pressure. The developed application successfully connects to the PPG and ECG monitoring devices using Bluetooth wireless connection and stores the data onto an online server. The pulse transit time is estimated in real time and the user's systolic blood pressure can be estimated after the system has been calibrated. The synchronization between the two devices was found to pose a challenge to this method of continuous blood pressure monitoring. However, the implemented continuous blood pressure monitoring system effectively serves as a proof of concept. This combined with the massive benefits that an accurate and robust continuous blood pressure monitoring system would provide indicates that it is certainly worthwhile to further develop this system.

A novel dual-feed low-dropout regulator

International Nuclear Information System (INIS)

Duan Zhikui; Hu Jianguo; Ding Yi; Lu Chong; Ding Yanyu; Wang Deming; Tan Hongzhou

2015-01-01

A novel dual-feed (DF) low-dropout (LDO) is presented. The DF-LDO adopts dual control loops to maintain the output voltage. The dual control loops include a feedback loop and a feedforward loop. There is an equilibrium point in dual control loops, and the equilibrium point is the output voltage of the DF-LDO. In addition, the transient performance is optimized by adjusting the damping ratio and natural frequency. With a 1 μF decoupling capacitor, the proposed DF-LDO is fabricated in a 0.18 μm CMOS process and its output voltage is 1.5 V. When the workload changes from 100 μA to 100 mA in 100 ns, load regulation of 7 mV for a 100 mA step is achieved, the settling time is 997 ns and the undershoot is 12.8 mV; when the workload changes from 100 mA to 100 μA in 100 ns, the settling time is 249 ns with an imperceptible overshoot. (paper)

Measuring and modelling occupancy time in NHS continuing healthcare

Directory of Open Access Journals (Sweden)

Millard Peter H

2011-06-01

Full Text Available Abstract Background Due to increasing demand and financial constraints, NHS continuing healthcare systems seek to find better ways of forecasting demand and budgeting for care. This paper investigates two areas of concern, namely, how long existing patients stay in service and the number of patients that are likely to be still in care after a period of time. Methods An anonymised dataset containing information for all funded admissions to placement and home care in the NHS continuing healthcare system was provided by 26 (out of 31 London primary care trusts. The data related to 11289 patients staying in placement and home care between 1 April 2005 and 31 May 2008 were first analysed. Using a methodology based on length of stay (LoS modelling, we captured the distribution of LoS of patients to estimate the probability of a patient staying in care over a period of time. Using the estimated probabilities we forecasted the number of patients that are likely to be still in care after a period of time (e.g. monthly. Results We noticed that within the NHS continuing healthcare system there are three main categories of patients. Some patients are discharged after a short stay (few days, some others staying for few months and the third category of patients staying for a long period of time (years. Some variations in proportions of discharge and transition between types of care as well as between care groups (e.g. palliative, functional mental health were observed. A close agreement of the observed and the expected numbers of patients suggests a good prediction model. Conclusions The model was tested for care groups within the NHS continuing healthcare system in London to support Primary Care Trusts in budget planning and improve their responsiveness to meet the increasing demand under limited availability of resources. Its applicability can be extended to other types of care, such as hospital care and re-ablement. Further work will be geared towards

Time-Frequency-Wavenumber Analysis of Surface Waves Using the Continuous Wavelet Transform

Science.gov (United States)

Poggi, V.; Fäh, D.; Giardini, D.

2013-03-01

A modified approach to surface wave dispersion analysis using active sources is proposed. The method is based on continuous recordings, and uses the continuous wavelet transform to analyze the phase velocity dispersion of surface waves. This gives the possibility to accurately localize the phase information in time, and to isolate the most significant contribution of the surface waves. To extract the dispersion information, then, a hybrid technique is applied to the narrowband filtered seismic recordings. The technique combines the flexibility of the slant stack method in identifying waves that propagate in space and time, with the resolution of f- k approaches. This is particularly beneficial for higher mode identification in cases of high noise levels. To process the continuous wavelet transform, a new mother wavelet is presented and compared to the classical and widely used Morlet type. The proposed wavelet is obtained from a raised-cosine envelope function (Hanning type). The proposed approach is particularly suitable when using continuous recordings (e.g., from seismological-like equipment) since it does not require any hardware-based source triggering. This can be subsequently done with the proposed method. Estimation of the surface wave phase delay is performed in the frequency domain by means of a covariance matrix averaging procedure over successive wave field excitations. Thus, no record stacking is necessary in the time domain and a large number of consecutive shots can be used. This leads to a certain simplification of the field procedures. To demonstrate the effectiveness of the method, we tested it on synthetics as well on real field data. For the real case we also combine dispersion curves from ambient vibrations and active measurements.

Immunization Dropout Rates in Ihe, Awgu Local Government Area ...

African Journals Online (AJOL)

vaccine. Subjects and Methods: This is a cross sectional study where immunization dropout rate of ... especially with the addition of other vaccines such as yellow fever in endemic areas and tetanus toxoid (injections for the pregnant women.

A path model analysis on predictors of dropout (at 6 and 12 months) during the weight loss interventions in endocrinology outpatient division.

Science.gov (United States)

Perna, Simone; Spadaccini, Daniele; Riva, Antonella; Allegrini, Pietro; Edera, Chiara; Faliva, Milena Anna; Peroni, Gabriella; Naso, Maurizio; Nichetti, Mara; Gozzer, Carlotta; Vigo, Beatrice; Rondanelli, Mariangela

2018-02-22

This study aimed to identify the dropout rate at 6 and 12 months from the first outpatient visit, and to analyze dropout risk factors among the following areas: biochemical examinations, anthropometric measures, psychological tests, personal data, and life attitude such as smoking, physical activity, and pathologies. This is a retrospective longitudinal observational study. Patients undergo an outpatient endocrinology visit, which includes collecting biographical data, anthropometric measurements, physical and pathological history, psychological tests, and biochemical examinations. The sample consists of 913 subjects (682 women and 231 men), with an average age of 50.88 years (±15.80) for the total sample, with a BMI of 33.11 ± 5.65 kg/m 2 . 51.9% of the patients abandoned therapy at 6 months after their first visit, and analyzing the dropout rate at 12 months, it appears that 69.5% of subjects abandon therapy. The main predictor of dropout risk factors at 6 and 12 months is the weight loss during the first 3 months (p dropout at 12 months. Patients who introduced physical activity had a reduction of - 17% (at 6 months) and -13% (at 12 months) of dropout risk (p dropout vs. other categories of worker (i = 0.58; p Dropout risk at 12 months decrease in patients with a previous history of cancer, Endocrine and psychic and behavioral disorders (p dropout.

Pseudo-Hermitian continuous-time quantum walks

Energy Technology Data Exchange (ETDEWEB)

Salimi, S; Sorouri, A, E-mail: shsalimi@uok.ac.i, E-mail: a.sorouri@uok.ac.i [Department of Physics, University of Kurdistan, PO Box 66177-15175, Sanandaj (Iran, Islamic Republic of)

2010-07-09

In this paper we present a model exhibiting a new type of continuous-time quantum walk (as a quantum-mechanical transport process) on networks, which is described by a non-Hermitian Hamiltonian possessing a real spectrum. We call it pseudo-Hermitian continuous-time quantum walk. We introduce a method to obtain the probability distribution of walk on any vertex and then study a specific system. We observe that the probability distribution on certain vertices increases compared to that of the Hermitian case. This formalism makes the transport process faster and can be useful for search algorithms.

Dropout prevention measures in the Netherlands, an evaluation

NARCIS (Netherlands)

de Witte, K.; Cabus, S.J.

2010-01-01

In line with the Lisbon Agenda, set by the European Council in the year 2000, European governments formulated ambitious plans to half the level of early school leavers by 2012. This paper outlines the dropout prevention measures in the Netherlands and analyzes their effect at both the individual

Pre-treatment Predictors of Dropout from Prolonged Exposure Therapy in Patients with Chronic Posttraumatic Stress Disorder and Comorbid Substance Use Disorders

Science.gov (United States)

Belleau, Emily L.; Chin, Eu Gene; Wanklyn, Sonya G.; Zambrano-Vazquez, Laura; Schumacher, Julie A.; Coffey, Scott F.

2017-01-01

Posttraumatic stress disorder (PTSD) and substance use disorders (SUDs) are commonly co-occurring disorders associated with more adverse consequences than PTSD alone. Prolonged exposure therapy (PE) is one of the most efficacious treatments for PTSD. However, among individuals with PTSD-SUD, 35–62% of individuals drop out of trauma-focused exposure treatments. Thus, it is important to identify predictors of PTSD treatment dropout among substance abusers with PTSD in order to gain information about adapting treatment strategies to enhance retention and outcomes. The current study explored pre-treatment predictors of early termination from PE treatment in a sample of 85 individuals receiving concurrent treatment for PTSD and a SUD in a residential treatment facility as part of a randomized controlled trial. The results indicated that less education and more anxiety sensitivity uniquely predicted PE treatment dropout. Demographic variables, PTSD severity, SUD severity, mental health comorbidities, and emotion regulation difficulties did not predict treatment dropout. These results suggest that adding pre-treatment interventions that address anxiety sensitivity, and promote social adjustment and cognitive flexibility, could possibly improve PE retention rates in clients with high anxiety or low education. PMID:28147254

Continuous-time quantum random walks require discrete space

International Nuclear Information System (INIS)

Manouchehri, K; Wang, J B

2007-01-01

Quantum random walks are shown to have non-intuitive dynamics which makes them an attractive area of study for devising quantum algorithms for long-standing open problems as well as those arising in the field of quantum computing. In the case of continuous-time quantum random walks, such peculiar dynamics can arise from simple evolution operators closely resembling the quantum free-wave propagator. We investigate the divergence of quantum walk dynamics from the free-wave evolution and show that, in order for continuous-time quantum walks to display their characteristic propagation, the state space must be discrete. This behavior rules out many continuous quantum systems as possible candidates for implementing continuous-time quantum random walks

Continuous-time quantum random walks require discrete space

Science.gov (United States)

Manouchehri, K.; Wang, J. B.

2007-11-01

Quantum random walks are shown to have non-intuitive dynamics which makes them an attractive area of study for devising quantum algorithms for long-standing open problems as well as those arising in the field of quantum computing. In the case of continuous-time quantum random walks, such peculiar dynamics can arise from simple evolution operators closely resembling the quantum free-wave propagator. We investigate the divergence of quantum walk dynamics from the free-wave evolution and show that, in order for continuous-time quantum walks to display their characteristic propagation, the state space must be discrete. This behavior rules out many continuous quantum systems as possible candidates for implementing continuous-time quantum random walks.

Sampling-based approaches to improve estimation of mortality among patient dropouts: experience from a large PEPFAR-funded program in Western Kenya.

Directory of Open Access Journals (Sweden)

Constantin T Yiannoutsos

Full Text Available Monitoring and evaluation (M&E of HIV care and treatment programs is impacted by losses to follow-up (LTFU in the patient population. The severity of this effect is undeniable but its extent unknown. Tracing all lost patients addresses this but census methods are not feasible in programs involving rapid scale-up of HIV treatment in the developing world. Sampling-based approaches and statistical adjustment are the only scaleable methods permitting accurate estimation of M&E indices.In a large antiretroviral therapy (ART program in western Kenya, we assessed the impact of LTFU on estimating patient mortality among 8,977 adult clients of whom, 3,624 were LTFU. Overall, dropouts were more likely male (36.8% versus 33.7%; p = 0.003, and younger than non-dropouts (35.3 versus 35.7 years old; p = 0.020, with lower median CD4 count at enrollment (160 versus 189 cells/ml; p<0.001 and WHO stage 3-4 disease (47.5% versus 41.1%; p<0.001. Urban clinic clients were 75.0% of non-dropouts but 70.3% of dropouts (p<0.001. Of the 3,624 dropouts, 1,143 were sought and 621 had their vital status ascertained. Statistical techniques were used to adjust mortality estimates based on information obtained from located LTFU patients. Observed mortality estimates one year after enrollment were 1.7% (95% CI 1.3%-2.0%, revised to 2.8% (2.3%-3.1% when deaths discovered through outreach were added and adjusted to 9.2% (7.8%-10.6% and 9.9% (8.4%-11.5% through statistical modeling depending on the method used. The estimates 12 months after ART initiation were 1.7% (1.3%-2.2%, 3.4% (2.9%-4.0%, 10.5% (8.7%-12.3% and 10.7% (8.9%-12.6% respectively. CONCLUSIONS/SIGNIFICANCE ABSTRACT: Assessment of the impact of LTFU is critical in program M&E as estimated mortality based on passive monitoring may underestimate true mortality by up to 80%. This bias can be ameliorated by tracing a sample of dropouts and statistically adjust the mortality estimates to properly evaluate and guide large

Stressors and Turning Points in High School and Dropout: A Stress Process, Life Course Framework

Science.gov (United States)

Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel

2015-01-01

High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…

A Monte Carlo study of time-aggregation in continuous-time and discrete-time parametric hazard models.

NARCIS (Netherlands)

Hofstede, ter F.; Wedel, M.

1998-01-01

This study investigates the effects of time aggregation in discrete and continuous-time hazard models. A Monte Carlo study is conducted in which data are generated according to various continuous and discrete-time processes, and aggregated into daily, weekly and monthly intervals. These data are

Modeling the Magnetopause Shadowing and Drift Orbit Bifurcation Loss during the June 2015 Dropout Event

Science.gov (United States)

Tu, W.; Cunningham, G.

2017-12-01

The relativistic electron flux in Earth's radiation belt are observed to drop by orders of magnitude on timescale of a few hours. Where do the electrons go during the dropout? This is one of the most important outstanding questions in radiation belt studies. Here we will study the 22 June 2015 dropout event which occurred during one of the largest geomagnetic storms in the last decade. A sudden and nearly complete loss of all the outer zone relativistic and ultra-relativistic electrons were observed after a strong interplanetary shock. The Last Closed Drift Shell (LCDS) calculated using the TS04 model reached as low as L*=3.7 during the shock and stay below L*=4 for 1 hour. The unusually low LCDS values suggest that magnetopause shadowing and the associated outward radial diffusion can contribute significantly to the observed dropout. In addition, Drift Orbit Bifurcation (DOB) has been suggested as an important loss mechanism for radiation belt electrons, especially when the solar wind dynamic pressure is high, but its relative importance has not been quantified. Here, we will model the June 2015 dropout event using a radial diffusion model that includes physical and event-specific inputs. First, we will trace electron drift shells based on TS04 model to identify the LCDS and bifurcation regions as a function of the 2nd adiabatic invariant (K) and time. To model magnetopause shadowing, electron lifetimes in our model will be set to electron drift periods at L*>LCDS. Electron lifetimes inside the bifurcation region have been estimated by Ukhorskiy et al. [JGR 2011, doi:10.1029/2011JA016623] as a function of L* and K, which will also be implemented in the model. This will be the first effort to include the DOB loss in a comprehensive radiation belt model. Furthermore, to realistically simulate outward radial diffusion, the new radial diffusion coefficients that are calculated based on the realistic TS04 model and include physical K dependence [Cunningham, JGR 2016

Growth Modeling with Non-Ignorable Dropout: Alternative Analyses of the STAR*D Antidepressant Trial

Science.gov (United States)

Muthén, Bengt; Asparouhov, Tihomir; Hunter, Aimee; Leuchter, Andrew

2011-01-01

This paper uses a general latent variable framework to study a series of models for non-ignorable missingness due to dropout. Non-ignorable missing data modeling acknowledges that missingness may depend on not only covariates and observed outcomes at previous time points as with the standard missing at random (MAR) assumption, but also on latent variables such as values that would have been observed (missing outcomes), developmental trends (growth factors), and qualitatively different types of development (latent trajectory classes). These alternative predictors of missing data can be explored in a general latent variable framework using the Mplus program. A flexible new model uses an extended pattern-mixture approach where missingness is a function of latent dropout classes in combination with growth mixture modeling using latent trajectory classes. A new selection model allows not only an influence of the outcomes on missingness, but allows this influence to vary across latent trajectory classes. Recommendations are given for choosing models. The missing data models are applied to longitudinal data from STAR*D, the largest antidepressant clinical trial in the U.S. to date. Despite the importance of this trial, STAR*D growth model analyses using non-ignorable missing data techniques have not been explored until now. The STAR*D data are shown to feature distinct trajectory classes, including a low class corresponding to substantial improvement in depression, a minority class with a U-shaped curve corresponding to transient improvement, and a high class corresponding to no improvement. The analyses provide a new way to assess drug efficiency in the presence of dropout. PMID:21381817

Unconditionally Stable Low Dropout Regulators for Extreme Environments, Phase II

Data.gov (United States)

National Aeronautics and Space Administration — We have developed a low dropout (LDO) regulator using a patented MESFET transistor technology that can be manufactured in commercial CMOS foundries with no changes...

Dropout from secondary education: All's well that begins well

NARCIS (Netherlands)

de Witte, K.

2010-01-01

Despite the increased attention to students leaving secondary education without a diploma, numerous students dropout yearly. This paper makes a distinction between the individual perspective and the institutional perspective of dropping out. The former is explored by multinominal logit models, with

Keeping Students on Track to Graduate: A Synthesis of School Dropout Trends, Prevention, and Intervention Initiatives

Science.gov (United States)

Ecker-Lyster, Meghan; Niileksela, Christopher

2016-01-01

This article reviews the literature on dropout trends, prevention, and intervention initiatives for school-aged children. Theoretical and consequential trends are highlighted to offer educators a perspective in which to view the dropout problem. This article also examines current trends in prevention and intervention initiatives aimed at reducing…

Generalization bounds of ERM-based learning processes for continuous-time Markov chains.

Science.gov (United States)

Zhang, Chao; Tao, Dacheng

2012-12-01

Many existing results on statistical learning theory are based on the assumption that samples are independently and identically distributed (i.i.d.). However, the assumption of i.i.d. samples is not suitable for practical application to problems in which samples are time dependent. In this paper, we are mainly concerned with the empirical risk minimization (ERM) based learning process for time-dependent samples drawn from a continuous-time Markov chain. This learning process covers many kinds of practical applications, e.g., the prediction for a time series and the estimation of channel state information. Thus, it is significant to study its theoretical properties including the generalization bound, the asymptotic convergence, and the rate of convergence. It is noteworthy that, since samples are time dependent in this learning process, the concerns of this paper cannot (at least straightforwardly) be addressed by existing methods developed under the sample i.i.d. assumption. We first develop a deviation inequality for a sequence of time-dependent samples drawn from a continuous-time Markov chain and present a symmetrization inequality for such a sequence. By using the resultant deviation inequality and symmetrization inequality, we then obtain the generalization bounds of the ERM-based learning process for time-dependent samples drawn from a continuous-time Markov chain. Finally, based on the resultant generalization bounds, we analyze the asymptotic convergence and the rate of convergence of the learning process.

Reasons for dropout in swimmers, differences between gender and age and intentions to return to competition.

Science.gov (United States)

Monteiro, Diogo M; Marinho, Daniel A; Moutão, João M; Vitorino, Anabela P; Antunes, Raúl N; Cid, Luís

2018-01-01

This study's main purpose was to analyze reasons for dropout in competitive swimmers and differences between gender and age groups. The influence of dropout on swimmers intentions to return to competition, invariance across gender and validation of Questionnaire of Reasons for Attrition were also analyzed. Study 1 - 366 athletes participated (N.=366; mean age 15.96, SD 5.99) and the data gathered was used for the exploratory analysis, and data gathered on 1008 athletes were used for the confirmatory analysis and the structural equations (N.=1008; mean age 16.26, SD 6.12); Study 2: 1008 athletes participated (N.=1008; mean age 16.26, SD 6.12) on the descriptive and inferential analysis of the reasons behind the practice dropout. The Questionnaire of Reasons Attrition was used in both studies to assess the reasons associated with the practice dropout. In study 1, the results showed an acceptable fit of the measurement model and invariance across gender and also predictive validity regarding swimmers intentions to return to competition (e.g., "demands/pressure" negatively predict intentions). In study 2, the main results showed that the most significant reason for dropout in both genders and all age groups was "dissatisfaction/other priorities"; the study also showed there to be differences between gender and age groups (e.g., female and younger athletes valued "demands/ pressure "more). This study offers useful guidelines for the training process and to support decisions on sports politics to be implemented to overcome the dropout rate. However, it is important to broaden the evidence to other sports and implement programs on identified priority areas based on longitudinal perspectives.

Parameter Estimation in Continuous Time Domain

Directory of Open Access Journals (Sweden)

Gabriela M. ATANASIU

2016-12-01

Full Text Available This paper will aim to presents the applications of a continuous-time parameter estimation method for estimating structural parameters of a real bridge structure. For the purpose of illustrating this method two case studies of a bridge pile located in a highly seismic risk area are considered, for which the structural parameters for the mass, damping and stiffness are estimated. The estimation process is followed by the validation of the analytical results and comparison with them to the measurement data. Further benefits and applications for the continuous-time parameter estimation method in civil engineering are presented in the final part of this paper.

Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data

International Nuclear Information System (INIS)

Gubernatis, J.E.; Bonca, J.; Jarrell, M.

1995-01-01

We present brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. We present the procedure we used, which is due to R. K. Bryan, and summarize several bottleneck issues

Anticontrol of chaos in continuous-time systems via time-delay feedback.

Science.gov (United States)

Wang, Xiao Fan; Chen, Guanrong; Yu, Xinghuo

2000-12-01

In this paper, a systematic design approach based on time-delay feedback is developed for anticontrol of chaos in a continuous-time system. This anticontrol method can drive a finite-dimensional, continuous-time, autonomous system from nonchaotic to chaotic, and can also enhance the existing chaos of an originally chaotic system. Asymptotic analysis is used to establish an approximate relationship between a time-delay differential equation and a discrete map. Anticontrol of chaos is then accomplished based on this relationship and the differential-geometry control theory. Several examples are given to verify the effectiveness of the methodology and to illustrate the systematic design procedure. (c) 2000 American Institute of Physics.

Meibomian gland dropout in patients with dry eye disease in China.

Science.gov (United States)

Feng, Yun; Gao, Ziqing; Feng, Kang; Qu, Hongqiang; Hong, Jing

2014-10-01

To examine the morphological changes in the meibomian glands of eyes of patients with dry eye disease using the non-contact infrared meibography system and to assess their relationship with meibomian dropout, signs, and tear-film function. Subjects included 264 randomly selected patients (528 eyes) suffering from dry eye disease (95 males, 169 females; age range, 7-85 years; mean male age, 39.83 ± 19.17 years; mean female age, 46.16 ± 17.38 years). Tear-film break-up time (BUT) was measured and tear-film production was evaluated by the Schirmer test I (SIT). Subjective symptoms were also scored. The upper and lower eyelids were turned over, and the meibomian glands were observed using the non-contact meibography system. Partial or complete loss of the meibomian glands (meibomian dropout) was scored for each eyelid from grade 0 (no loss) through grade 3 (lost area was >2/3 of the total meibomian gland area). The average SIT result was 6.71 ± 6.13 mm (range 0-30 mm) and that for BUT was 3.13 ± 2.39 s (range 0-10 s). The average fluorescein staining score was 4.25 ± 4.05 (range 0-12). In addition, the mean meibomian gland photographic score was 4.35 ± 1.39. The correlation between the meibomian gland photographic scores and various ocular surface examinations were evaluated using Kendall's correlation. SIT and BUT were significantly negatively correlated with the meibomian gland photographic score, whereas corneal fluorescein staining was positively correlated. The results suggest a large proportion of meibomian dropout cases among patients with dry eye disease, indicating that treatment targeted at the meibomian gland will become an important direction for treating dry eye disease. Meibography is recommended as a routine test for dry eye disease.

Predicting Drop-Out from Social Behaviour of Students

Science.gov (United States)

Bayer, Jaroslav; Bydzovska, Hana; Geryk, Jan; Obsivac, Tomas; Popelinsky, Lubomir

2012-01-01

This paper focuses on predicting drop-outs and school failures when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion board conversations, among other sources. We describe an extraction of new features from both student data and behaviour…

Reasons for Dropout for Vocational High School Students

Science.gov (United States)

Tas, Ali; Selvitopu, Abdullah; Bora, Veysel; Demirkaya, Yusuf

2013-01-01

This study aimed to determine the reasons for dropout for persons who have not completed vocational education programme and left school without a diploma. By using snowball sampling method, 19 persons, willing to participate in the study, were reached. Data were obtained by semi structured interview forms. In data analysis process, inductive…

Authoritative School Climate and High School Dropout Rates

Science.gov (United States)

Jia, Yuane; Konold, Timothy R.; Cornell, Dewey

2016-01-01

This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high…

Continuity of Local Time: An applied perspective

OpenAIRE

Ramirez, Jorge M.; Waymire, Edward C.; Thomann, Enrique A.

2015-01-01

Continuity of local time for Brownian motion ranks among the most notable mathematical results in the theory of stochastic processes. This article addresses its implications from the point of view of applications. In particular an extension of previous results on an explicit role of continuity of (natural) local time is obtained for applications to recent classes of problems in physics, biology and finance involving discontinuities in a dispersion coefficient. The main theorem and its corolla...

Huff 'n puff to revaporize liquid dropout in an Omani gas field

Energy Technology Data Exchange (ETDEWEB)

Al-Wadhahi, M.; Boukadi, F.H.; Al-Bemani, A.; Al-Maamari, R.; Al-Hadrami, H. [Department of Petroleum and Chemical Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khod 123 (Oman)

2007-01-15

In this study, Huff 'n Puff technique is used as a production mechanism to revaporize liquid dropout in the Saih Rawl retrograde condensate gas field, Oman. During the huff cycle, a number of wells were shut in to achieve revaporization. The same wells were put on stream, during the puff cycle. Liquid dropout induced a mechanical skin around the wellbore and hampered gas production capabilities but has been revaporized through pressurization. The pressure buildup in the rich-gas condensate reservoir was due to a cross flow originating from a deeper highly pressurized lean-gas bearing formation. The pressure communication was taking place through the wellbore during shut-in cycles. A compositional simulation model was used to confirm the theory of condensate revaporization. Simulation results indicated that Huff 'n Puff is a viable production technique. The technique improved gas deliverability and enhanced gas-liquid production by minimizing the skin caused by gas-liquid dropout. (author)

LED Current Balance Using a Variable Voltage Regulator with Low Dropout vDS Control

Directory of Open Access Journals (Sweden)

Hung-I Hsieh

2017-02-01

Full Text Available A cost-effective light-emitting diode (LED current balance strategy using a variable voltage regulator (VVR with low dropout vDS control is proposed. This can regulate the multiple metal-oxide-semiconductor field-effect transistors (MOSFETs of the linear current regulators (LCR, maintaining low dropout vDS on the flat vGS-characteristic curves and making all drain currents almost the same. Simple group LCRs respectively loaded with a string LED are employed to implement the theme. The voltage VVdc from a VVR is synthesized by a string LED voltage NvD, source voltage vR, and a specified low dropout vDS = VQ. The VVdc updates instantly, through the control loop of the master LCR, which means that all slave MOSFETs have almost the same biases on their flat vGS-characteristic curves. This leads to all of the string LED currents being equal to each other, producing an almost even luminance. An experimental setup with microchip control is built to verify the estimations. Experimental results show that the luminance of all of the string LEDs are almost equal to one another, with a maximum deviation below 1% during a wide dimming range, while keeping all vDS of the MOSFETs at a low dropout voltage, as expected.

Who benefits most from therapist-assisted internet-delivered cognitive behaviour therapy in clinical practice? Predictors of symptom change and dropout.

Science.gov (United States)

Edmonds, M; Hadjistavropoulos, H D; Schneider, L H; Dear, B F; Titov, N

2018-03-01

Internet-delivered cognitive behavioral therapy (ICBT) is effective for treating anxiety and depression, but not for all patients. Predictors of dropout and outcomes from ICBT remain unclear and the literature could benefit from study of response to ICBT among larger community samples using advanced statistical techniques. In this study, we sought to identify predictors of dropout and symptom change in a large community sample (n = 1201) who received therapist-assisted transdiagnostic ICBT targeting anxiety and/or depression. Logistic regression was used to assess dropout, and showed that those who fully completed ICBT lessons (n = 880) were older and endorsed lower psychological distress at intake than those who only partially completed ICBT lessons (n = 321). During the course of therapy, patients responded to the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 at six time points. Autoregressive latent trajectory models were fitted to this data to assess the ability of demographic variables, program engagement, psychological and medical service usage, and psychological distress to explain individual variance in initial symptom levels and symptom change over time. Higher symptom scores at pre-treatment were predictive of greater symptom improvement. Symptom improvement was greater in those who were off work on disability and those without higher post-secondary education. Clinical implications are discussed. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Ultra-Low-Dropout Linear Regulator

Science.gov (United States)

Thornton, Trevor; Lepkowski, William; Wilk, Seth

2011-01-01

A radiation-tolerant, ultra-low-dropout linear regulator can operate between -150 and 150 C. Prototype components were demonstrated to be performing well after a total ionizing dose of 1 Mrad (Si). Unlike existing components, the linear regulator developed during this activity is unconditionally stable over all operating regimes without the need for an external compensation capacitor. The absence of an external capacitor reduces overall system mass/volume, increases reliability, and lowers cost. Linear regulators generate a precisely controlled voltage for electronic circuits regardless of fluctuations in the load current that the circuit draws from the regulator.

Analyzing the Discourse of Dropouts and Resilient Students

Science.gov (United States)

Lessard, Anne; Butler-Kisber, Lynn; Fortin, Laurier; Marcotte, Diane

2014-01-01

The authors focused on high school students who were at risk of dropping out and examined why some of these students persevered and graduated while others ended up dropping out of school. Sixty resilient students and 80 dropouts participated in the study. Our results indicate that although learning difficulties were shared by participants, 4 types…

DECREASING SCHOOL DROPOUT RATE AS A FACTOR OF ECONOMIC GROWTH AND SOCIAL EMPOWERMENT. THEORETICAL INSIGHTS

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Alina Badulescu

2016-07-01

Full Text Available Economic development and social empowerment in Romania are unconcievable in the absence of a modern education system, which needs both economic and financial investments and social, political, cultural measures to increase the inclusion of young people in school system. In this particular context, given that Romania faces a high degree rate of school dropout, and moreover there are few chances that Romania reach its goals, we try in this paper to look inside the real situation. Indeed, school dropout present serious negative consequences both on individual level and for the whole society. Recognising this fact, next step is to investigate and reveal the determining factors for this situation, and we are particularly interested in the economic and systemic factors. Consequently, we present in this paper first a brief literature review on the fenomenon of school dropping out, including reviewing main studies related to factors, effects, causes etc. In the second part, starting from several statistical data provided by INS, EUROSTAT and UNICEF studies, we propose some theoretical models and policy reccomendations in order to decrease the school dropout rate and especially the early school dropout rate.

Interaction-aided continuous time quantum search

International Nuclear Information System (INIS)

Bae, Joonwoo; Kwon, Younghun; Baek, Inchan; Yoon, Dalsun

2005-01-01

The continuous quantum search algorithm (based on the Farhi-Gutmann Hamiltonian evolution) is known to be analogous to the Grover (or discrete time quantum) algorithm. Any errors introduced in Grover algorithm are fatal to its success. In the same way the Farhi-Gutmann Hamiltonian algorithm has a severe difficulty when the Hamiltonian is perturbed. In this letter we will show that the interaction term in quantum search Hamiltonian (actually which is in the generalized quantum search Hamiltonian) can save the perturbed Farhi-Gutmann Hamiltonian that should otherwise fail. We note that this fact is quite remarkable since it implies that introduction of interaction can be a way to correct some errors on the continuous time quantum search

Influence of X and gamma radiation and bias conditions on dropout voltage of voltage regulators serial transistors

International Nuclear Information System (INIS)

Vukic, V.; Osmokrovic, P.; Stankovic, S.; Kovacevic, M.

2005-01-01

Research topic presented in this paper is degradation of characteristics of low-dropout voltage regulator's serial transistor during exposure of device to the ionizing radiation. Voltage regulators were exposed to X and γ radiation in two modes: without bias conditions, and with bias conditions and load. Tested circuits are representatives of the first and the second generation of low-dropout voltage regulators, with lateral and vertical PNP serial transistor: LM2940 and L4940. Experimental results of output voltage and serial dropout voltage change in function of total ionizing dose, during the medium-dose-rate exposure, were presented. (author) [sr

Dropout from Secondary Education: All's Well That Begins Well

Science.gov (United States)

De Witte, Kristof; Rogge, Nicky

2013-01-01

Despite the increased attention to students leaving secondary education without a diploma numerous students still dropout yearly. This paper makes a distinction between the "individual perspective" and the "institutional perspective" of dropping out. The former is explored by multinominal logit models. We observe that…

Drop-out from parenting training programmes: a retrospective study ...

African Journals Online (AJOL)

Objective:Parent training programmes are a well-established treatment approach for children and adolescents with disruptive behaviour disorders. However, dropout from treatment is a common problem that confounds research on the efficacy of this approach, and wastes important mental health resources. This study ...