122,497 research outputs found

    On apprend mieux à lire sur des textes « prédictibles »

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    Bridge et Winograd donnent des cours sur la lecture et la rééducation à l'Université du Kentucky à Lexington. Ils mènent aussi des recherches en psychologie génétique. Haley enseigne en première année d'école élémentaire à Cardinal Valley, Lexington. Leur étude porte sur des élèves «lents» de première année d'école élémentaire ; on y montre que les mots s'apprennent mieux dans le contexte répétitif de livres « prédictives » et les tableaux (L.E.A.) que dans les manuels de lecture plus rigides. Cette méthode convient particulièrement aux débutants.Bridge Connie A., Winograd Peter N., Haley Dariene, Proux Michelle. On apprend mieux à lire sur des textes « prédictibles ». In: Communication et langages, n°58, 4ème trimestre 1983. pp. 21-27

    Modified Winograd FFT algorithm and its variants for transform size N = pk and their implementations

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    AbstractWe continue the program, initiated by the authors (IEEE Trans. Acoust. Speech Signal Process., in press), of designing multiplicative FFT algorithms with highly structured data flow. In this paper, we take up the cases of transform sizes N, N = p2 and pk, p an odd prime. These algorithms have operational counts close to the Winograd algorithm, but they have a better structure, which simplifies their implementation. Two algorithms are given in this paper for N = p2. The first is suited for parallel computing. The second has a better operational count and is suited for conventional serial machines

    The Modified versus the Conventional Winograd Technique for the Treatment of Onychocryptosis: A Retrospective Study

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    The Winograd technique is a common surgical treatment for ingrown toenails. Attempting to improve the results of this technique, two modifications were adopted: the incisional approach and the use of adhesive approximation strips. This study aimed to compare the conventional technique and the modified version based on (i) postoperative complications, (ii) healing time, (iii) recurrence rate, and (iv) overall patient satisfaction. A longitudinal, observational, and retrospective design was used, with a sample of 208 patients divided into the modified Winograd technique (n = 111) and the conventional Winograd technique (n = 97) in three clinics in Portugal, with follow-up periods of more than 15 years and 10 years, respectively. The modifications to the Winograd technique revealed fewer postsurgical complications, in terms of infections (1.8% vs. 20.62%, p 0.05), shorter recovery time (8.10 ± 0.76 vs. 14.51 ± 3.48 days, p < 0.001), and lower postoperative pain and better satisfaction with the functional and esthetic results, with the patient’s overall satisfaction, and with significant differences in relation to the conventional technique (p < 0.001). The modifications performed showed a lower rate of infection, decreased healing time, and better patient satisfaction, suggesting that it may be adopted in clinical practice for the treatment of stages II and III ingrown toenails

    Nail braces as an alternative treatment for ıngrown toenails: Results from a comparison with the winograd technique

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    WOS: 000356836600021PubMed ID: 25937564Ingrown toenails are one of the most frequent nail disorders and can be treated with conservative or surgical approaches. Although discovered a long time ago, the available data are still very limited on the potential effectiveness of nail braces for ingrown toenail treatment. In the present retrospective study, we compared nail braces with surgical wedge excision using the Winograd technique with respect to the time to return to work, recurrence, interval to recurrence, and patient satisfaction. A total of 159 patients were divided into the nail brace (n = 74; mean age 29.51 + 8.48 years) and Winograd technique (n = 85; mean age 26.95 +/- 8.06 years) groups. In the nail brace group, the mean time to return to work (4.15 +/- 1.07 days) was significantly shorter than that in the Winograd technique group (13.8 +/- 2.26 days; p .05). A statistically significant difference was observed in the mean interval to recurrence (12.46 +/- 1.60 versus 13.24 +/- 2.48 months, respectively; p = .031). The progression-free follow-up periods for the nail brace and Winograd technique groups were 15.45 +/- 0.22 months (95% confidence interval 15.02 to 15.88) and 17.18 +/- 0.29 months (95% confidence interval 16.61 to 17.84), respectively. We have concluded that the use of nail braces is an appropriate alternative treatment of ingrown toenails with high patient satisfaction, fast recovery times, and a low recurrence rate

    On the Derivation of Winograd-Type DFT Algorithms for Input Sequences Whose Length Is a Power of Two

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    Winograd&rsquo;s algorithms are an effective tool for calculating the discrete Fourier transform (DFT). These algorithms described in well-known articles are traditionally represented either with the help of sets of recurrent relations or with the help of products of sparse matrices obtained on the basis of various methods of the DFT matrix factorization. Unfortunately, in the mentioned papers, it is not shown how the described relations were obtained or how the presented factorizations were found. In this paper, we use a simple, understandable and fairly unified approach to the derivation of the Winograd-type DFT algorithms for the cases N = 8, N = 16 and N = 32. It is easy to verify that algorithms for other lengths of sequences that are powers of two can be synthesized in a similar way

    A Multi-Language Comparison of Influences on Author Verification using Character N-Grams

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    We create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
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