10 resultados para 74816
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Resumo:
The authors conducted a cross-sectional short-term study using Lind's Moral Judgment Test (MJT) to compare moral judgment competence (C-score) among students from a medical school in the Northeast region of Brazil and a medical school in the Northern region of Portugal. This study compares the C-scores of groups in the first and eighth semesters of study within each medical school and groups from corresponding semesters between the two medical schools. This study also evaluates the influence of such factors as age and gender on moral competence. A regression of moral judgment competence among the students in their eighth semester versus the students in the first semester of Brazilian medical school (p < 0.001) and a stagnation of moral competence among students in their eighth semester versus the first semester students in the Portuguese medical school (p = 0.06) were observed. For both the first semester and eighth semester groups, the students in the Portuguese medical school had higher C-scores than the students in the Brazilian medical school. In the analysis of the students' performances in terms of MJT dilemmas, the phenomenon of moral segmentation was observed in all of the groups, and the students performed better on the worker's dilemma than on the doctor's dilemma. Among students in the same semester of study, older students had lower C-scores. There was generally no significant difference between men's and women's C-scores. © 2013 Springer Science+Business Media Dordrecht.
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Several lake ice phenology studies from satellite data have been undertaken. However, the availability of long-term lake freeze-thaw-cycles, required to understand this proxy for climate variability and change, is scarce for European lakes. Long time series from space observations are limited to few satellite sensors. Data of the Advanced Very High Resolution Radiometer (AVHRR) are used in account of their unique potential as they offer each day global coverage from the early 1980s expectedly until 2022. An automatic two-step extraction was developed, which makes use of near-infrared reflectance values and thermal infrared derived lake surface water temperatures to extract lake ice phenology dates. In contrast to other studies utilizing thermal infrared, the thresholds are derived from the data itself, making it unnecessary to define arbitrary or lake specific thresholds. Two lakes in the Baltic region and a steppe lake on the Austrian–Hungarian border were selected. The later one was used to test the applicability of the approach to another climatic region for the time period 1990 to 2012. A comparison of the extracted event dates with in situ data provided good agreements of about 10 d mean absolute error. The two-step extraction was found to be applicable for European lakes in different climate regions and could fill existing data gaps in future applications. The extension of the time series to the full AVHRR record length (early 1980 until today) with adequate length for trend estimations would be of interest to assess climate variability and change. Furthermore, the two-step extraction itself is not sensor-specific and could be applied to other sensors with equivalent near- and thermal infrared spectral bands.