36 resultados para racial reasoning


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Voting Advice Applications (VAAs) render a valuable platform for tackling one of democracy's central challenges: low voter turnout. Studies indicate that lack of information and cost-benefit considerations cause voters to abstain from voting. VAAs are online voting assistance tools which match own political preferences with those of candidates and parties in elections. By assisting voters in their decision-making process prior to casting their votes, VAAs not only rebut rational choice reasoning against voting but also narrow existing information gaps. In this paper we examine the impact of VAAs on participation and voter turnout. Specifically, we present results on how the Swiss VAA smartvote affected voter turnout in the 2007 federal elections. Our analyses suggest that smartvote does have a mobilizing capacity, especially among young voters who are usually underrepresented at polls. Moreover, the study demonstrates how VAAs such as smartvote do affect citizen's propensity to deal with politics in general.

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The case of a patient with severe pulmonary hypertension whose etiology has remained unknown until an autopsy was performed is discussed in a symposium of pathological anatomy. This case helped to address the diagnostic and therapeutic management of pulmonary hypertension. The broad differential diagnosis of this disease requires a diagnostic strategy to be developped. Clinical reasoning leading to a probable diagnosis based on clinical biological and radiological information is not only a difficult task for the speaker but also a rich source of learning opportunities for our medical community.

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The present study investigates the short- and long-term outcomes of a computer-assisted cognitive remediation (CACR) program in adolescents with psychosis or at high risk. 32 adolescents participated in a blinded 8-week randomized controlled trial of CACR treatment compared to computer games (CG). Clinical and neuropsychological evaluations were undertaken at baseline, at the end of the program and at 6-month. At the end of the program (n = 28), results indicated that visuospatial abilities (Repeatable Battery for the Assessment of Neuropsychological Status, RBANS; P = .005) improved signifi cantly more in the CACR group compared to the CG group. Furthermore, other cognitive functions (RBANS), psychotic symptoms (Positive and Negative Symptom Scale) and psychosocial functioning (Social and Occupational Functioning Assessment Scale) improved signifi cantly, but at similar rates, in the two groups. At long term (n = 22), cognitive abilities did not demonstrated any amelioration in the control group while, in the CACR group, signifi cant long-term improvements in inhibition (Stroop; P = .040) and reasoning (Block Design Test; P = .005) were observed. In addition, symptom severity (Clinical Global Improvement) decreased signifi cantly in the control group (P = .046) and marginally in the CACR group (P = .088). To sum up, CACR can be successfully administered in this population. CACR proved to be effective over and above CG for the most intensively trained cognitive ability. Finally, on the long-term, enhanced reasoning and inhibition abilities, which are necessary to execute higher-order goals or to adapt behavior to the ever-changing environment, were observed in adolescents benefi ting from a CACR.

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Most theories of perception assume a rigid relationship between objects of the physical world and the corresponding mental representations. We show by a priori reasoning that this assumption is not fulfilled. We claim instead that all object-representation correspondences have to be learned. However, we cannot learn to perceive all objects that there are in the world. We arrive at these conclusions by a combinatory analysis of a fictive stimulus world and the way to cope with its complexity, which is perceptual learning. We show that successful perceptual learning requires changes in the representational states of the brain that are not derived directly from the constitution of the physical world. The mind constitutes itself through perceptual learning.

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The Wechsler Intelligence Scale for Children-fourth edition (i.e. WISC-IV) recognizes a four-factor scoring structure in addition to the Full Scale IQ (FSIQ) score: Verbal Comprehension (VCI), Perceptual Reasoning (PRI), Working Memory (WMI), and Processing Speed (PSI) indices. However, several authors suggested that models based on the Cattell-Horn-Carroll (CHC) theory with 5 or 6 factors provided a better fit to the data than does the current four-factor solution. By comparing the current four-factor structure to CHC-based models, this research aimed to investigate the factorial structure and the constructs underlying the WISC-IV subtest scores with French-speaking Swiss children (N = 249). To deal with this goal, confirmatory factor analyses (CFAs) were conducted. Results showed that a CHC-based model with five factors better fitted the French-Swiss data than did the current WISC-IV scoring structure. All together, these results support the hypothesis of the appropriateness of the CHC model with French-speaking children.