995 resultados para script A


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Collaborative activities, in which students actively interact with each other, have proved to provide significant learning benefits. In Computer-Supported Collaborative Learning (CSCL), these collaborative activities are assisted by technologies. However, the use of computers does not guarantee collaboration, as free collaboration does not necessary lead to fruitful learning. Therefore, practitioners need to design CSCL scripts that structure the collaborative settings so that they promote learning. However, not all teachers have the technical and pedagogical background needed to design such scripts. With the aim of assisting teachers in designing effective CSCL scripts, we propose a model to support the selection of reusable good practices (formulated as patterns) so that they can be used as a starting point for their own designs. This model is based on a pattern ontology that computationally represents the knowledge captured on a pattern language for the design of CSCL scripts. A preliminary evaluation of the proposed approach is provided with two examples based on a set of meaningful interrelated patters computationally represented with the pattern ontology, and a paper prototyping experience carried out with two teaches. The results offer interesting insights towards the implementation of the pattern ontology in software tools.

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Television script for commercial "Corn Girl" featuring the song "Mellow Yellow"

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1980 script for Attack a Big Mac

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A draft with handwritten notes of "The Swimmer" script for use in the 1984 nutrition campaign.

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This script is dated 1996, but may have been reused from a commercial used in 1983.

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Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

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La pratique de l’hématologie, comme celle de toute profession, implique l’acquisition d’un raisonnement adéquat. Se basant sur une théorie de psychologie cognitive, le test de concordance de script (TCS) a été développé et validé comme un instrument permettant d’évaluer le raisonnement clinique dans diverses spécialités médicales. Le but de cette étude était d’examiner l’utilité et les paramètres psychométriques d’un TCS en hématologie. Nous avons construit un TCS composé de 60 questions que nous avons administré à 15 résidents juniors (R1 à R3 en médecine interne), 46 résidents séniors (R4, R5 et R6 en hématologie) et 17 hématologues à travers le Canada. Après optimisation, le TCS comptait 51 questions. Sa consistance interne mesurée par le coefficient de Cronbach alpha était 0.83. Le test était en mesure de discriminer entre les résidents selon leur niveau de formation. Les questions contenant des images (n=10) semblaient avoir un potentiel discriminatoire plus élevé. Les scores obtenus par les résidents séniors corrélaient modéremment avec ceux obtenus à un test conventionnel d’hématologie composé de questions à choix multiples et à courte réponse (r de Pearson = 0.42; p=0.02). Le TCS a été complété en 36 minutes en moyenne et a été bien reçu par les participants. Le TCS est un instrument d’évaluation utile et valide en hématologie. Il peut être utilisé à des fins formatives en aidant au suivi de la progression des résidents. Il pourrait aussi être combiné à d’autres instruments d’évaluation à des fins sanctionnelles, ou encore, en éducation médicale continue.

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This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malayalam. A framework for the recognition of Grantha script using online character recognition is designed and implemented. The features extracted from the Grantha script comprises mainly of time-domain features based on writing direction and curvature. The recognized characters are mapped to corresponding Malayalam characters. The framework was tested on a bed of medium length manuscripts containing 9-12 sample lines and printed pages of a book titled Soundarya Lahari writtenin Grantha by Sri Adi Shankara to recognize the words and sentences. The manuscript recognition rates with the system are for Grantha as 92.11%, Old Malayalam 90.82% and for new Malayalam script 89.56%. The recognition rates of pages of the printed book are for Grantha as 96.16%, Old Malayalam script 95.22% and new Malayalam script as 92.32% respectively. These results show the efficiency of the developed system

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In this paper, we propose a handwritten character recognition system for Malayalam language. The feature extraction phase consists of gradient and curvature calculation and dimensionality reduction using Principal Component Analysis. Directional information from the arc tangent of gradient is used as gradient feature. Strength of gradient in curvature direction is used as the curvature feature. The proposed system uses a combination of gradient and curvature feature in reduced dimension as the feature vector. For classification, discriminative power of Support Vector Machine (SVM) is evaluated. The results reveal that SVM with Radial Basis Function (RBF) kernel yield the best performance with 96.28% and 97.96% of accuracy in two different datasets. This is the highest accuracy ever reported on these datasets

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The full script and worksheet for the 6th form outreach event where the practical extraction of trimyristin is undertaken.The PDF also contains a detailed NMR spectrum

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The script used in the 2015 January Twilight sessions for chemistry.

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