Background: The topic "prevention and health promotion" (Q10) was introduced into the medical training in Germany by the new medical licensing regulations in 2004. For the conception of an effective curriculum in the context of quality assurance, a continuous evaluation by the target group is necessary. Of importance are particularly the subjective success in learning and its interdependence to invested time, achievement expenditure and perceived relevance of the topics.
Methods: Medical students (N=660) of the fifth academic years of 2007-2009 at the Martin-Luther-University Halle-Wittenberg were asked about their opinion after completing their Q10 curriculums by means of a standardised questionnaires. Emphasis of the questioning was placed on self estimates about success in learning, expenditure of time, evaluation of instruction elements, perceived relevance of prevention topics and the motivation for further occupation with the topic field. The collection instruments covered multiple choice questions, decimal number data and 5-point Likert scales.
Results: 510 questionnaires (77% return) could be evaluated. The curriculum "prevention and health promotion" was continuously evaluated over 3 years with increasingly indicated performance requirements and expenditure of time regarding instruction elements and success in learning. The invested time in lecture visits correlated positively with relevance-attribution (r=0.16, p<0.01) and subjective success in learning (r=0.29, p<0.001). The strongest correlations regarding subjective success in learning were shown in the evaluation of the instruction elements (r=0.65, p<0.001), perceived relevance of the topic (r=0.42, p<0.001) and motivation (r=0.45, p<0.001).
Conclusions: Self-estimated success in learning within the interdisciplinary field of prevention and health promotion can be fostered by elucidating the relevance of the topic. Increasing requirements and expenditure of time for the preparation of performance records seem to be a less effective stimulus for successes in learning as the promotion of the lecture visit. The selection of suitable teaching and testing formats for prevention and health should orient itself - apart from objective success measurement - also on student evaluations.
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Nat Commun
January 2025
Institute for Materials Science, University of Stuttgart, D-70569, Stuttgart, Germany.
The knowledge of diffusion mechanisms in materials is crucial for predicting their high-temperature performance and stability, yet accurately capturing the underlying physics like thermal effects remains challenging. In particular, the origin of the experimentally observed non-Arrhenius diffusion behavior has remained elusive, largely due to the lack of effective computational tools. Here we propose an efficient ab initio framework to compute the Gibbs energy of the transition state in vacancy-mediated diffusion including the relevant thermal excitations at the density-functional-theory level.
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Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.
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