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Joachim SCHÖPFEL 《Learned Publishing》2015,28(4):321-325
- In 25 years, open access has become a significant part of scientific communication, but its success story should not conceal a fundamental change of its nature.
- Open access started at the grassroots, as a bottom‐up, community‐driven model of open journals and repositories but today the driving forces are commercial, institutional, and political interests.
- The fall of open access as a community‐driven model is running the risk of becoming dysfunctional for scientists and may create new barriers and digital divides.
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Joachim Willems 《British Journal of Religious Education》2007,29(3):229-243
The question of religious education is one of the most controversial questions in the current discussions on religion and politics in Russia. Most notably a new subject, Fundamentals of Orthodox Culture (FOC), is of interest because it differs markedly from Western European approaches to religious education. Referring to ‘Culturology’ FOC combines an introduction into Russian culture and patriotism with moral education and the imparting of knowledge about Orthodox Christianity. According to its own self‐image FOC is a non‐denominational subject, but an analysis of two widespread textbooks will be used to show that FOC is, in all respects, Orthodox. 相似文献
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Joachim Henkel 《Research Policy》2006,35(7):953-969
This paper provides a quantitative study (N = 268) of patterns of free revealing of firm-developed innovations within embedded Linux, a type of open source software (OSS). I find that firms, without being obliged to do so, contribute many of their own developments back to public embedded Linux code, eliciting and indeed receiving informal development support from other firms. That is, they perform a part of their product development open to the public—an unthinkable idea for traditionally minded managers. Such openness obviously entails the challenge of protecting one's intellectual property. I find that firms address this issue by revealing selectively. They reveal, on average, about half of the code they have developed, while protecting the other half by various means. Revealing is strongly heterogeneous among firms. Multivariate analysis can partly explain this heterogeneity by firm characteristics and the firm's purpose behind revealing. An analysis of reasons for revealing and of the type of revealed code shows that different types of firms have different rationales for openness. Implications for management are that the conflict between downsides and benefits of openness appears manageable. Provided selective revealing is practiced deliberately, the opportunities of open development dominate. 相似文献
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Daniel J. Madigan Joachim Stoeber Troy Culley Louis Passfield Andrew P. Hill 《European Journal of Sport Science》2018,18(9):1271-1279
Recent research found perfectionistic strivings to predict performance in a novel basketball task among novice basketball players. The current study builds on this research by examining whether this is also the case for performance in a familiar basketball training task among experienced basketball players, and whether achievement goals mediated any observed relationships. Perfectionistic strivings, perfectionistic concerns, and 3?×?2 achievement goals were assessed prior to basketball training performance in 90 basketball players (mean age 20.9 years). Regression analyses showed that perfectionistic strivings predicted better performance. Furthermore, mediation analyses showed that other-approach goals (e.g. beliefs that one should and can outperform others) accounted for this relationship. The findings suggest that perfectionistic strivings may predict better performance in both novel and familiar athletic contexts. In addition, beliefs about the importance and ability to outperform others may explain this relationship. 相似文献
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Beat Knechtle Patrizia Knechtle Andrea Wirth Christoph Alexander Rüst Thomas Rosemann 《Journal of sports sciences》2013,31(11):1131-1140
Abstract In 219 recreational male runners, we investigated changes in body mass, total body water, haematocrit, plasma sodium concentration ([Na+]), and urine specific gravity as well as fluid intake during a 100-km ultra-marathon. The athletes lost 1.9 kg (s = 1.4) of body mass, equal to 2.5% (s = 1.8) of body mass (P < 0.001), 0.7 kg (s = 1.0) of predicted skeletal muscle mass (P < 0.001), 0.2 kg (s = 1.3) of predicted fat mass (P < 0.05), and 0.9 L (s = 1.6) of predicted total body water (P < 0.001). Haematocrit decreased (P < 0.001), urine specific gravity (P < 0.001), plasma volume (P < 0.05), and plasma [Na+] (P < 0.05) all increased. Change in body mass was related to running speed (r = ?0.16, P < 0.05), change in plasma volume was associated with change in plasma [Na+] (r = ?0.28, P < 0.0001), and change in body mass was related to both change in plasma [Na+] (r = ?0.36) and change in plasma volume (r = 0.31) (P < 0.0001). The athletes consumed 0.65 L (s = 0.27) fluid per hour. Fluid intake was related to both running speed (r = 0.42, P < 0.0001) and change in body mass (r = 0.23, P = 0.0006), but not post-race plasma [Na+] or change in plasma [Na+] (P > 0.05). In conclusion, faster runners lost more body mass, runners lost more body mass when they drank less fluid, and faster runners drank more fluid than slower runners. 相似文献
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