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Situated within a positive psychology perspective, the current study examined the relations among academic achievement, self-esteem, and subjective well-being (SWB) in school among Chinese elementary school students using a longitudinal mediation model. A total of 807 elementary school students (Mage = 9.43 years; 52.9% male) completed a multimeasure questionnaire that tapped the targeted variables at 3 time points, across 18 months. After controlling for gender, age, and family socioeconomic status, the results revealed that (a) academic achievement positively predicted later SWB in school; (b) self-esteem at Time 2 completely mediated the relation between academic achievement at Time 1 and SWB in school at Time 3; and (c) significant bidirectional relations were observed between self-esteem and SWB in school. Limitations and practical applications related to the cultural context of China were discussed.

Résumé  L'accent mis sur les énergies renouvelables et les inquiétudes environnementales ont conduit, dans le monde entier, à un développement considérable des techniques éoliennes. Ces énergies, toutefois, ne sont pas sans poser des défis importants, liés au caractère intermittent et instable du vent. Les prévisions à court terme dans ce domaine sont d'une importance cruciale pour une mise en oeuvre fiable des systèmes d'exploitation. Cet article commence par une vue d'ensemble de l'état actuel des connaissances en matière de ressources d'énergie éolienne. Il passe ensuite en revue plusieurs modèles de prédiction à court terme des vitesses des vents comprenant, en particulier, les approches chronologiques traditionnelles, ainsi que certains modèles plus raffinés fondés sur les modèles du type spatio‐temporel. Nous poursuivons avec une discussion de la précision des prévisions, en mettant l'accent sur le choix de fonctions de perte appropriées. Quelques défis nouveaux liés aux changements soudains des vents et aux énergies éoliennes offshores sont aussi présentés.

Although controlled biomedical terminologies have been with us for centuries, it is only in the last couple of decades that close attention has been paid to the quality of these terminologies. The result of this attention has been the development of auditing methods that apply formal methods to assessing whether terminologies are complete and accurate. We have performed an extensive literature review to identify published descriptions of these methods and have created a framework for characterizing them. The framework considers manual, systematic and heuristic methods that use knowledge (within or external to the terminology) to measure quality factors of different aspects of the terminology content (terms, semantic classification, and semantic relationships). The quality factors examined included concept orientation, consistency, non-redundancy, soundness and comprehensive coverage. We reviewed 130 studies that were retrieved based on keyword search on publications in PubMed, and present our assessment of how they fit into our framework. We also identify which terminologies have been audited with the methods and provide examples to illustrate each part of the framework.