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This study adopted a multidimensional approach to performance prediction within Olympic distance cross-country mountain biking (XCO-MTB). Twelve competitive XCO-MTB cyclists (VO2max 60.8 ± 6.7 ml · kg?1 · min?1) completed an incremental cycling test, maximal hand grip strength test, cycling power profile (maximal efforts lasting 6–600 s), decision-making test and an individual XCO-MTB time-trial (34.25 km). A hierarchical approach using multiple linear regression analyses was used to develop predictive models of performance across 10 circuit subsections and the total time-trial. The strongest model to predict overall time-trial performance achieved prediction accuracy of 127.1 s across 6246.8 ± 452.0 s (adjusted R2 = 0.92; P < 0.01). This model included VO2max relative to total cycling mass, maximal mean power across 5 and 30 s, peak left hand grip strength, and response time for correct decisions in the decision-making task. A range of factors contributed to the models for each individual subsection of the circuit with varying predictive strength (adjusted R2: 0.62–0.97; P < 0.05). The high prediction accuracy for the total time-trial supports that a multidimensional approach should be taken to develop XCO-MTB performance. Additionally, individual models for circuit subsections may help guide training practices relative to the specific trail characteristics of various XCO-MTB circuits.  相似文献   
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Die soziale Bedürftigkeit im Sinne des StudFG ist nicht am gesetzlichen Unterhalt zu messen. Die Selbsterhaltungsf?higkeit des Studierenden ist dabei nur insofern relevant, als dieser als Selbsterhalter iSd StudFG zu werten ist.  相似文献   
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Metric space is a universal and versatile model of similarity that can be applied in various areas of non-text information retrieval. However, a general, efficient and scalable solution for metric data management is still a resisting research challenge. In this work, we try to make an important step towards such management system that would be able to scale to data collections of billions of objects. We propose a distributed index structure for similarity data management called the Metric Index (M-Index) which can answer queries in precise and approximate manner. This technique can take advantage of any distributed hash table that supports interval queries and utilize it as an underlying index. We have performed numerous experiments to test various settings of the M-Index structure and we have proved its usability by developing a full-featured publicly-available Web application.  相似文献   
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In the past few years, science educators and the nation at large have become increasingly concerned about the “Crisis in Science Education.” An underlying cause of this crisis is the nonuniform quality of instruction delivered by secondary science teachers. One way to improve the quality of teaching in the schools is the application of science education research findings to teaching. Most teachers are unaware of the research findings and/or do not apply them in their classrooms. This study helps determine the areas of research which are of greatest interest to secondary science teachers. Results will be used by NSTA to determine the contents of future volumes of the monograph What Research Says to the Science Teacher. A random sample of 600 secondary science teachers was obtained from the National Registry of NSTA. Teachers were sent a 23 item questionnaire that asked them to rate their interest in each research topic on a five point scale. The questionnaire contained the 12 items prepared by a NARST-NSTA committee in 1979 and an additional 11 items using the same format. Demographic data collected from the survey included sex, teaching assignment, role in school, type of school, type of community, years of teaching experience, and familiarity with What Research Says. … Data were analyzed using this demographic data as well as according to whether teachers returned the original or a follow-up questionnaire. Teachers who returned the first questionnaire had basically the same preferences as those who returned the follow-up questionnaire. Sixty percent of the teachers completed the questionnaire in usable form. Overall results of the study based on both frequency of response and on mean rating indicate that the following five topics are of greatest interest to secondary science teachers: laboratory experiences, motivational techniques, effect on college courses, problem solving, and meaningful learning. Analysis of data according to the subject taught indicated that chemistry and physics teachers are more interested in problem solving than biology teachers, and that chemistry, physics, and earth science teachers are also interested in the sequence of the content. Males and females had the same top five interests but in a different order. The same is true for teachers of grades 7–9 versus grades 10–12. Rural teachers preferences varied substantially from those in other settings and differences were also found for teachers familiar with What Research Says … compared to the rest of the sample. For every classification of teacher, the area of least interest was sex difference research.  相似文献   
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