451 resultados para misuse


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In recent years an increasing number of papers have employed meta-analysis to integrate effect sizes of researchers’ own series of studies within a single paper (“internal meta-analysis”). Although this approach has the obvious advantage of obtaining narrower confidence intervals, we show that it could inadvertently inflate false-positive rates if researchers are motivated to use internal meta-analysis in order to obtain a significant overall effect. Specifically, if one decides whether to stop or continue a further replication experiment depending on the significance of the results in an internal meta-analysis, false-positive rates would increase beyond the nominal level. We conducted a set of Monte-Carlo simulations to demonstrate our argument, and provided a literature review to gauge awareness and prevalence of this issue. Furthermore, we made several recommendations when using internal meta-analysis to make a judgment on statistical significance.

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This workshop details the deculturalization process that takes place when Indigenous Peoples are used as mascots in school-related activities; examines the arguments(s) and defensive tactics used by sports fans and school officials to maintain these hegemonic images; and offers successful strategies for developing policy toward the elimination of Indigenous Peoples as mascots.

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[EN]Web meetings have recently become a common tool for eLearning in higher education. But what are they used for? How well do they work? How do they fit into the pedagogical context? In this paper, the wider context of social and technological change over recent years is discussed and, in this light, the (mis)use of webinars to recreate traditional classroom dynamics online is held up to criticism. Possible future educational fits for this technology are indicated.

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OBJECTIVE: The aims of the present study were to assess the associations between mood, anxiety and substance use disorders, including their subtypes, and the prevalence of cardiovascular risk factors (CVRFs). METHOD: Thorough physical investigations, biological measures and standardized interview techniques were used to assess 3716 subjects of an urban area, aged 35-66 years. RESULTS: Atypical depression was associated with increased prevalence of overweight, diabetes and the metabolic syndrome (OR = 1.5, 95% C.I. 1.1-2.0; OR = 2.0, 95% C.I. 1.1-3.5, OR = 1.6, 95% C.I. 1.0-2.4 respectively), whereas decreased prevalence of overweight was found in melancholic (OR = 0.7, 95% C.I. 0.6-0.9) and unspecified depression (OR = 0.8, 95% C.I. 0.7-1.0). Alcohol abuse was associated with diabetes (OR = 1.8, 95% C.I. 1.1-2.9) and dyslipidemia (OR = 1.3, 95% C.I. 1.0-1.8), alcohol dependence with dyslipidemia only (OR = 1.4, 95% C.I. 1.0-2.0). Almost all mental disorders were associated with a lifetime history of regular cigarette smoking, and atypical depression, alcohol misuse and drug dependence were associated with inactivity. CONCLUSION: To conclude results emphasize the need to subtype depression and to pay particular attention to the atypical subtype. Comorbid alcohol misuse may further increase the cardiovascular risk. Efforts to diminish smoking in subjects with mental disorders could be crucial measures to reduce their high incidence of cardiovascular disease.

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Debates over the merits of competing schemes for ranking metropolitan areas as hightech centers shed little light on the important policy questions that should be the core of economic development policy. There are no strong theoretical reasons for preferring one ranking system to others. Rankings often conflate different industries and ignore history, obscuring the varied and often idiosyncratic processes that drive growth in different regions. Although an occupational perspective is a useful one for examining economic activity, it is a supplement to, not a replacement for, a careful understanding of metropolitan industrial specialization. Practitioners should not put too much weight on any ranking system but instead should work to develop detailed knowledge of their region’s special economic niche and to develop relationships and strategies that build on established strengths.

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The Common European Asylum System (CEAS) is an EU policy area that is particularly evocative of the ‘politics of numbers’. The European Union has at its disposal a wide array of sources providing detailed information about the capacities and pressures of its member states’ asylum systems. This paper discusses the content of asylum data and the evolving interaction between its different sources, ranging from the United Nations High Commissioner for Refugees to the European Commission’s EUROSTAT and DG HOME, the European Asylum Support Office, FRONTEX, the European Migration Network (EMN) and national databases. However, the way in which such data are often misused, or even omitted, in political debate affects the soundness of policy decisions in the CEAS. Drawing on debates over the contested phenomenon of ‘asylum shopping’ and the exemption of victims of torture and unaccompanied minors from accelerated and border procedures in the recast asylum procedures Directive, this briefing paper argues that solid data-based evidence is often absent from political negotiations on CEAS measures affecting refugees and asylum-seekers.

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