Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychosocial Determinants of Attrition in a Longitudinal Study of Tobacco Use in Youth

To gain knowledge on psychosocial characteristics that predict the propensity of participation in longitudinal studies, attrition was analysed in a cohort of 3020 adolescents participating in the baseline survey of a longitudinal study with repeated followup focusing on adolescents' tobacco use. During the followup surveys, the proportion of responders was constantly at or above 90%. There were 941 adolescents (31.2%) who failed to participate in at least one of the six followup surveys. Boys had a fifty percent increased risk of nonparticipation compared with girls. Adolescents in families with experience of divorce, unemployment, and change of residence had a higher risk of nonparticipation. An increasing number of stressful life events during the previous year, uptake of tobacco use, number of friends, perceived performance at school, truancy, and alcohol use during the last term also independently associated with nonparticipation. Diverse psychosocial characteristics are independently associated with nonparticipation of youths in longitudinal studies.
THE EFFECTS OF MODEL SUPPORTED COOPERATIVE AND INDIVIDUAL LEARNING METHODS ON PROSPECTIVE SCIENCE TEACHERS’ UNDERSTANDING OF SOLUTIONS

This research was conducted to facilitate the conceptual understanding of the solutions that contain abstract concepts and not to understand easily. The aim of this research is to determine the effect of applied methods on the achievement level of prospective science teachers and conceptual understanding level at the particulate nature of matter in solution chemistry. The research was conducted with 58 prospective science teachers and a pre-test/posttest non-equivalent quasi-experimental design was used. Three experimental groups were determined as model supported Reading Writing Application method of cooperative learning (n=20), model supported Students Teams Achievement Divisions method of cooperative learning (n=20), and model supported individual learning method (n=18). The data collected with a Particulate Nature of Matter Test (PNMT) and a Module Test (MT). For analyzing data descriptive statistics, one–way ANOVA, and ANCOVA were used. The results showed that there was no significant effect with respect to the achievement level. According to findings from the post test of MT, all groups were more successful in terms of correct understanding of the solutions compared with the pre-tests. Keywords: cooperative learning, individual learning, pedagogical-analogical models, solution chemistry, particulate nature of matter.
Genetic Diversity and Local Connectivity in the Mediterranean Red Gorgonian Coral after Mass Mortality Events

Estimating the patterns of connectivity in marine taxa with planktonic dispersive stages is a challenging but crucial task because of its conservation implications. The red gorgonian Paramuricea clavata is a habitat forming species, characterized by short larval dispersal and high reproductive output, but low recruitment. In the recent past, the species was impacted by mass mortality events caused by increased water temperatures in summer. In the present study, we used 9 microsatellites to investigate the genetic structure and connectivity in the highly threatened populations from the Ligurian Sea (NW Mediterranean). No evidence for a recent bottleneck neither decreased genetic diversity in sites impacted by mass mortality events were found. Significant IBD pattern and high global FST confirmed low larval dispersal capability in the red gorgonian. The maximum dispersal distance was estimated at 20–60 km. Larval exchange between sites separated by hundreds of meters and between different depths was detected at each site, supporting the hypothesis that deeper subpopulations unaffected by surface warming peaks may provide larvae for shallower ones, enabling recovery after climatically induced mortality events.
Directed random testing

Random testing can quickly generate many tests, is easy to implement, scales to large software applications, and reveals software errors. But it tends to generate many tests that are illegal or that exercise the scone parts of the code as other tests, thus limiting its effectiveness. Directed random testing is a new approach to test generation that overcomes these limitations, by combining a bottom-up generation of tests with runtime guidance. A directed random test generator takes a collection of operations under test and generates new tests incrementally, by randomly selecting operations to apply and finding arguments from among previously-constructed tests. As soon as it generates a new test, the generator executes it, and the result determines whether the test is redundant, illegal, error-revealing, or useful for generating more tests. The technique outputs failing tests pointing to potential errors that should be corrected, and passing tests that can be used for regression testing. The thesis also contributes auxiliary techniques that post-process the generated tests, including a simplification technique that transforms a failing test into a smaller one that better isolates the cause of failure, and a branch-directed test generation technique that aims to increase the code coverage achieved by the set of generated tests. Applied to 14 widely-used libraries (including the Java JDK and the core NET framework libraries), directed random testing quickly reveals many serious, previously unknown errors in the libraries. And compared with other test generation tools (model checking, symbolic execution, and traditional random testing), it reveals more errors and achieves higher code coverage. In an industrial case study, a test team at Microsoft using the technique discovered in fifteen hours of human effort as many errors as they typically discover in a person-year of effort using other testing methods. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)
Melanopsin‐expressing ganglion cells on macaque and human retinas form two morphologically distinct populations

The long‐term goal of this research is to understand how retinal ganglion cells that express the photopigment melanopsin, also known as OPN4, contribute to vision in humans and other primates. Here we report the results of anatomical studies using our polyclonal antibody specifically against human melanopsin that confirm and extend previous descriptions of melanopsin cells in primates. In macaque and human retina, two distinct populations of melanopsin cells were identified based on dendritic stratification in either the inner or the outer portion of the inner plexiform layer (IPL). Variation in dendritic field size and cell density with eccentricity was confirmed, and dendritic spines, a new feature of melanopsin cells, were described. The spines were the sites of input from DB6 diffuse bipolar cell axon terminals to the inner stratifying type of melanopsin cells. The outer stratifying melanopsin type received inputs from DB6 bipolar cells via a sparse outer axonal arbor. Outer stratifying melanopsin cells also received inputs from axon terminals of dopaminergic amacrine cells. On the outer stratifying melanopsin cells, ribbon synapses from bipolar cells and conventional synapses from amacrine cells were identified in electron microscopic immunolabeling experiments. Both inner and outer stratifying melanopsin cell types were retrogradely labeled following tracer injection in the lateral geniculate nucleus (LGN). In addition, a method for targeting melanopsin cells for intracellular injection using their intrinsic fluorescence was developed. This technique was used to demonstrate that melanopsin cells were tracer coupled to amacrine cells and would be applicable to electrophysiological experiments in the future. J. Comp. Neurol. 524:2845–2872, 2016. © 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc.
Control-Value Appraisals, Enjoyment, and Boredom in Mathematics: A Longitudinal Latent Interaction Analysis

Based on the control-value theory of achievement emotions, this longitudinal study examined students’ control-value appraisals as antecedents of their enjoyment and boredom in mathematics. Self-report data for appraisals and emotions were collected from 579 students in their final year of primary schooling over three waves. Data were analyzed using latent interaction structural equation modeling. Control-value appraisals predicted emotions interactively depending on which specific subjective value was paired with perceived control. Achievement value amplified the positive relation between perceived control and enjoyment, and intrinsic value reduced the negative relation between perceived control and boredom. These longitudinal findings demonstrate that control and value appraisals, and their interaction, are critically important for the development of students’ enjoyment and boredom over time.
Centralized Multisensor Unscented Joint Probabilistic Data Association Algorithm

A centralized multisensor unscented joint probabilistic data association algorithm, CMSUJPDA, is proposed for the multisensor multitarget tracking problem of the nonlinear system in clutter. In the algorithm, UKF is used for the propagation of state distribution in the nonlinear system at first. Then the association of measurements to track is implemented according to the method of JPDA. Based on this, the CMSUJPDA algorithm is derived by use of the idea of sequential MSJPDA. Due to higher order of accuracy of UKF than EKF, the association probabilities and state estimates in our algorithm are not affected by the linearization error. Hence compared with MSJPDA/EKF, the accuracy and robustness of CMSUJPDA are more favorable. Finally simulation results show the superiority of the proposed algorithm.
Action selection performance of a reconfigurable basal ganglia inspired model with Hebbian–Bayesian Go-NoGo connectivity

Several studies have shown a strong involvement of the basal ganglia (BG) in action selection and dopamine dependent learning. The dopaminergic signal to striatum, the input stage of the BG, has been commonly described as coding a reward prediction error (RPE), i.e., the difference between the predicted and actual reward. The RPE has been hypothesized to be critical in the modulation of the synaptic plasticity in cortico-striatal synapses in the direct and indirect pathway. We developed an abstract computational model of the BG, with a dual pathway structure functionally corresponding to the direct and indirect pathways, and compared its behavior to biological data as well as other reinforcement learning models. The computations in our model are inspired by Bayesian inference, and the synaptic plasticity changes depend on a three factor Hebbian–Bayesian learning rule based on co-activation of pre- and post-synaptic units and on the value of the RPE. The model builds on a modified Actor-Critic architecture and implements the direct (Go) and the indirect (NoGo) pathway, as well as the reward prediction (RP) system, acting in a complementary fashion. We investigated the performance of the model system when different configurations of the Go, NoGo, and RP system were utilized, e.g., using only the Go, NoGo, or RP system, or combinations of those. Learning performance was investigated in several types of learning paradigms, such as learning-relearning, successive learning, stochastic learning, reversal learning and a two-choice task. The RPE and the activity of the model during learning were similar to monkey electrophysiological and behavioral data. Our results, however, show that there is not a unique best way to configure this BG model to handle well all the learning paradigms tested. We thus suggest that an agent might dynamically configure its action selection mode, possibly depending on task characteristics and also on how much time is available.
Neuronal Expression of GalNAc Transferase Is Sufficient to Prevent the Age-Related Neurodegenerative Phenotype of Complex Ganglioside-Deficient Mice

Gangliosides are widely expressed sialylated glycosphingolipids with multifunctional properties in different cell types and organs. In the nervous system, they are highly enriched in both glial and neuronal membranes. Mice lacking complex gangliosides attributable to targeted ablation of the B4galnt1 gene that encodes β-1,4-N-acetylegalactosaminyltransferase 1 (GalNAc–transferase; GalNAcT−/−) develop normally before exhibiting an age-dependent neurodegenerative phenotype characterized by marked behavioral abnormalities, central and peripheral axonal degeneration, reduced myelin volume, and loss of axo-glial junction integrity. The cell biological substrates underlying this neurodegeneration and the relative contribution of either glial or neuronal gangliosides to the process are unknown. To address this, we generated neuron-specific and glial-specific GalNAcT rescue mice crossed on the global GalNAcT−/− background [GalNAcT−/−-Tg(neuronal) and GalNAcT−/−-Tg(glial)] and analyzed their behavioral, morphological, and electrophysiological phenotype. Complex gangliosides, as assessed by thin-layer chromatography, mass spectrometry, GalNAcT enzyme activity, and anti-ganglioside antibody (AgAb) immunohistology, were restored in both neuronal and glial GalNAcT rescue mice. Behaviorally, GalNAcT−/−-Tg(neuronal) retained a normal “wild-type” (WT) phenotype throughout life, whereas GalNAcT−/−-Tg(glial) resembled GalNAcT−/− mice, exhibiting progressive tremor, weakness, and ataxia with aging. Quantitative electron microscopy demonstrated that GalNAcT−/− and GalNAcT−/−-Tg(glial) nerves had significantly increased rates of axon degeneration and reduced myelin volume, whereas GalNAcT−/−-Tg(neuronal) and WT appeared normal. The increased invasion of the paranode with juxtaparanodal Kv1.1, characteristically seen in GalNAcT−/− and attributed to a breakdown of the axo-glial junction, was normalized in GalNAcT−/−-Tg(neuronal) but remained present in GalNAcT−/−-Tg(glial) mice. These results indicate that neuronal rather than glial gangliosides are critical to the age-related maintenance of nervous system integrity.
Spatialized N budgets in a large agricultural Mediterranean watershed: high loading and low transfer

Abstract. Despite the particular management practices and climate characteristics of the Mediterranean regions, the literature dealing with N budgets in large catchments subjected to Mediterranean conditions is scarce. The present study aims to deepen our knowledge on the N cycle within the Ebro River Basin (NE Spain) by means of two different approaches: (1) calculating a global N budget in the Ebro River Basin and (2) calculating a series of detailed regional budgets at higher geographical resolution. N inputs and outputs were spatialized by creating a map based on the most detailed information available. Fluvial and atmospheric N export was estimated together with N retention. The Ebro River Basin annually receives a relatively high amount of new N (5118 kg N km−2 yr−1), mostly in the form of synthetic fertilizers (50%). Although it is a highly productive catchment, the net N input as food and feed import is also high (33%). Only 8% of this N is finally exported to the delta zone. Several territorial units characterized by different predominant uses (rainfed agriculture, irrigated agriculture and pastures) have differentiated N dynamics. However, due to the high density of irrigation channels and reservoirs that characterize Mediterranean catchments, N retention is very high in all of them (median value, 91%). These results indicate that problems of eutrophication due to N delivery in the coastal area may not be too severe but that high N retention values may instead lead to problems within the catchment, such as pollution of aquifers and rivers, as well as high atmospheric emissions. The most promising management measures are those devoted to reducing agricultural surpluses through a better balanced N fertilization.
Relationship Between Workplace Ostracism and Unsafe Behaviors: The Mediating Effect of Psychological Detachment and Emotional Exhaustion

This research tests whether the stressor-detachment model can explain the mechanism between workplace ostracism and employees’ unsafe behaviors. We used a self-report questionnaire to assess Chinese construction workers’ workplace ostracism, psychological detachment, emotional exhaustion, and unsafe behaviors. In total, 349 valid questionnaires were collected. We used cross-sectional structural equation modeling to assess our conceptual model. The results indicate that workplace ostracism has a significant effect on psychological detachment and emotional exhaustion and thus affects employees’ unsafe behaviors. In addition, workplace ostracism could influence employees’ unsafe behaviors through the sequential combination of psychological detachment and emotional exhaustion. Moreover, psychological detachment mediates the relationship between workplace ostracism and emotional exhaustion. Taken together, our findings extend the application of the stressor-detachment model by revealing how workplace ostracism influences employees’ unsafe behaviors.
Wide-Field Survey around Local Group Dwarf Spheroidal Galaxy Leo II: Spatial Distribution of Stellar Content

We carried out a wide-field V, I imaging survey of the Local Group dwarf spheroidal galaxy Leo II using the Subaru Prime Focus Camera on the 8.2 m Subaru Telescope. The survey covered an area of 26.67 × 26.67 arcmin2, far beyond the tidal radius of Leo II (8.63′), down to the limiting magnitude of V ≃ 26, which is roughly 1 mag deeper than the turnoff point of the main-sequence stars of Leo II. Radial number density profiles of bright and faint red giant branch (RGB) stars were found to change their slopes at around the tidal radius, and extend beyond the tidal radius with shallower slopes. A smoothed surface brightness map of Leo II suggests the existence of a small substructure (4 × 2.5 arcmin2, 270 × 170 pc 2 in physical size) of globular cluster luminosity beyond the tidal radius. We investigated the properties of the stellar population by means of a color-magnitude diagram. The horizontal branch (HB) morphology index shows a radial gradient in which red HB stars are more concentrated than blue HB stars, which is common to many Local Group dwarf spheroidal galaxies. The color distribution of RGB stars around the mean RGB sequence shows a larger dispersion at the center than in the outskirts, indicating a mixture of stellar populations at the center and a more homogeneous population in the outskirts. Based on the age estimation using subgiant branch stars, we found that although the major star formation took place ∼8 Gyr ago, a considerable stellar population younger than 8 Gyr is found at the center; such a younger population is insignificant in the outskirts. The following star formation history is suggested for Leo II. Star-forming activity occurred more than ∼8 Gyr ago throughout the galaxy at a modest star formation rate. The star-forming region gradually shrank from the outside toward the center, and star-forming activity finally dropped to ∼0 by ∼4 Gyr ago, except for the center, where a small population younger than 4 Gyr is present.
Is it a Fact? Timed Arithmetic Performance of Children With Mathematical Learning Disabilities (MLD) Varies as a Function of How MLD is Defined

Poor fact retrieval is a frequently reported characteristic of children with mathematical learning disability (MLD). To better understand the nature and specificity of poor fact retrieval in MLD, in the present study, we examined eighth graders' accuracy on timed addition and multiplication problems of varying levels of difficulty. We compared the performance of 16 children with deficient math achievement (MLD), 19 children with below average (but not deficient) math achievement (LA), and 100 typically achieving (TA) children. Children in all three groups made errors. Errors made by children in the LA group were more numerous, but comparable in type, to those observed for typically developing children. Errors made by children with MLD were more numerous still, and included errors that differ qualitatively from those in the LA and TA groups. Thus the way in which performance linked to “math difficulties” differs from that of typically achieving children varies as a function of how we define math disabilities (MLD vs. LA). Moreover, the frequency and types of errors made by individuals varied within the MLD group, highlighting group heterogeneity even when using strict criteria to define this group of children. Finally, the types of errors made by children with MLD reflect reliance on processes other than retrieval to solve these alleged “math facts. ”
Reliability and Validity of an Arabic Translation of Academic Self-Efficacy Scale (ASE) on Students at King Faisal University.

RELIABILITY AND VALIDITY OF AN ARABIC TRANSLATION OF ACADEMIC SELF-EFFICACY SCALE (ASE) ON STUDENTS AT KING FAISAL UNIVERSITY by MOHAMMED F. AL MOHAZIE May 2018 Advisor: Dr. Shlomo Sawilowsky Major: Evaluation and Research Degree: Doctor of Philosophy Academic self-efficacy refers to a student’s confidence in successfully performing academic tasks at a designated level. Empirical research in US students suggests academic selfefficacy is a positive predictor of university student academic performance and retention, two outcomes that need to be increased in Saudi students. Given the potential predictive ability of academic self-efficacy on student academic performance and retention, a reliable and valid measure of academic self-efficacy appropriate for Arabic-speaking Saudi students is needed. This dissertation set out to create an Arabic translation of the eight-item Academic Self-Efficacy Scale (ASE) developed by Chemers, Hu, and Garcia (2001). Using comments from a panel of Educational Measurement and Evaluation experts, the nine-item Arabic ASE was created. Tests of reliability and validity of the Arabic ASE in a sample of 627 freshman Arabic-speaking Saudi university students (37.5% males, 61.2% females) found the Arabic ASE demonstrated high internal consistency reliability and acceptable construct validity due to its factor structure. Examination of gender differences found males had significantly lower scores than females on the full scale Arabic ASE, and on six of the nine items of the Arabic ASE.
Time-Varying Systemic Risk: Evidence From a Dynamic Copula Model of CDS Spreads

This article proposes a new class of copula-based dynamic models for high-dimensional conditional distributions, facilitating the estimation of a wide variety of measures of systemic risk. Our proposed models draw on successful ideas from the literature on modeling high-dimensional covariance matrices and on recent work on models for general time-varying distributions. Our use of copula-based models enables the estimation of the joint model in stages, greatly reducing the computational burden. We use the proposed new models to study a collection of daily credit default swap (CDS) spreads on 100 U.S. firms over the period 2006 to 2012. We find that while the probability of distress for individual firms has greatly reduced since the financial crisis of 2008–2009, the joint probability of distress (a measure of systemic risk) is substantially higher now than in the precrisis period. Supplementary materials for this article are available online.