24 research outputs found

    Adult Learning Communities: Does Self-Efficacy Pre-Determine Participation?

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    In a voluntary online community structure, Western Governors University seeks to find correlations between adult learners’ self-efficacy, community participation and academic success. Based on surveys of 164 new Education students, self-efficacy was not correlated with either participation measures of interaction or academic measures of success

    Determining Writing Readiness: Effects on Retention, Persistence & Academic Success

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    WRITING READINESS INITIATIVE RESEARCH PLAN Phase I: The Impacts of the Writing Readiness Initiative Phase I examines the relationship between Writing Readiness and Retention, Persistence and Academic Success. (FRIG 2012 Grant) Phase II: The Student Experience Impact of the Writing Readiness Initiative. Phase II of the Impacts of Writing Readiness Initiative study will be surveying and interviewing students to determine their perspectives on this initiative as well as their perceived impact on their writing.https://scholarworks.waldenu.edu/archivedposters/1019/thumbnail.jp

    The genetic architecture of the human cerebral cortex

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    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

    Pragmatic Maxims and Presumptions in Legal Interpretation

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    The fields of linguistic pragmatics and legal interpretation are deeply interrelated. The purpose of this paper is to show how pragmatics and the developments in argumentation theory can contribute to the debate on legal interpretation. The relation between the pragmatic maxims and the presumptions underlying the legal canons are brought to light, unveiling the principles that underlie the types of argument usually used to justify a construction. The Gricean maxims and the arguments of legal interpretation are regarded as presumptions subject to default used to justify an interpretation. This approach can allow one to trace the different legal interpretive arguments back to their basic underlying presumptions, so that they can be compared, ordered, and assessed according to their defeasibility conditions. This approach allows one to understand the difference between various types of interpretive canons, and their strength in justifying an interpretation

    Neuropsychosocial profiles of current and future adolescent alcohol misusers

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    A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models1 can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers2 in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence3. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms4. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention

    Differential predictors for alcohol use in adolescents as a function of familial risk

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    Abstract: Traditional models of future alcohol use in adolescents have used variable-centered approaches, predicting alcohol use from a set of variables across entire samples or populations. Following the proposition that predictive factors may vary in adolescents as a function of family history, we used a two-pronged approach by first defining clusters of familial risk, followed by prediction analyses within each cluster. Thus, for the first time in adolescents, we tested whether adolescents with a family history of drug abuse exhibit a set of predictors different from adolescents without a family history. We apply this approach to a genetic risk score and individual differences in personality, cognition, behavior (risk-taking and discounting) substance use behavior at age 14, life events, and functional brain imaging, to predict scores on the alcohol use disorders identification test (AUDIT) at age 14 and 16 in a sample of adolescents (N = 1659 at baseline, N = 1327 at follow-up) from the IMAGEN cohort, a longitudinal community-based cohort of adolescents. In the absence of familial risk (n = 616), individual differences in baseline drinking, personality measures (extraversion, negative thinking), discounting behaviors, life events, and ventral striatal activation during reward anticipation were significantly associated with future AUDIT scores, while the overall model explained 22% of the variance in future AUDIT. In the presence of familial risk (n = 711), drinking behavior at age 14, personality measures (extraversion, impulsivity), behavioral risk-taking, and life events were significantly associated with future AUDIT scores, explaining 20.1% of the overall variance. Results suggest that individual differences in personality, cognition, life events, brain function, and drinking behavior contribute differentially to the prediction of future alcohol misuse. This approach may inform more individualized preventive interventions

    Argumentation in the Interpretation of Statutory Law and International Law: Not Ejusdem Generis

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    This contribution bridges three fields—pragmatics, argumentation, and law. Arguments can be seen as the verbal formulation of inferences that articulate justificatory relationships, meaning that behind every argument is at least one argumentative inference. As an argumentative activity and verbal practice, legal discourse has gaps to be filled by pragmatic inference. Neo- and post-Gricean frameworks can thus tentatively be used for its analysis. Based on these frameworks, this contribution asks whether argumentation in the interpretation of statutory law is the same as in international law. More precisely, it looks at judges’ legal interpretations, which function as justifying arguments because they are constrained by rules/canons of interpretation. It is shown that neither a pragma-dialectical hierarchy of statutory canons nor a hierarchy of related presumptions carries over to international law where there is no such hierarchy
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