186,842 research outputs found

    sarah-hanus/pipeline_oggm_cwatm: v1.0.0

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    <p>This is the first release of the pipeline to transform OGGM outputs to CWatM inputs and thus allow to sequentially couple OGGM to CWatM.</p&gt

    OGGM/massbalance-sandbox: Version used in Hanus et al. glacier-hydro coupling manuscript

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    <p>This is the OGGM/massbalance-sandbox version used by @sarah-hanus for her manuscript ("Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – Towards an improved representation of mountain water resources in global assessments") that is soon submitted to Geoscientific Model Development (GMD). The branch is identical to the commit: https://github.com/OGGM/massbalance-sandbox/commit/7c055cc96e45389f9d1643cf6b5c28bca643957c</p&gt

    Hanus Michel — Drogues et drogués

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    B H. Hanus Michel — Drogues et drogués. In: Population, 29ᵉ année, n°6, 1974. p. 1172

    Hanus, Gilles (2021). Relief de la mémoire: Théorie des trous de mémoire

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    Obra ressenyada: Gilles HANUS, Relief de la mémoire: Théorie des trous de mémoire. Montreal: Liber, 2021

    On genomic coding theory

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    This paper gives a brief overview of several applications from the emerging interdisciplinary field of genomic coding theory that aims at applying concepts and techniques from the field of coding theory to problems from the field of molecular biology. This is motivated by the high precision and robustness found in genomic processes in addition to the increase in the availability of genomic data for a wide range of species. The considered applications include source coding for DNA classification, channel coding for modelling gene expression with emphasis on the process of translation, existence of error correcting codes in the DNA and channel coding structure in the genetic code. Example results are presented that demonstrate the relevance of the proposed approaches and open questions are formulated to suggest future research work. Copyright © 2007 John Wiley and Sons, Ltd.BATTAIL G, 2006, INTRO BIOSEMIOTICS; BLANCHETTE M, 2003, P 7 ANN INT C RES CO, P57, DOI 10.1145-640075.640082; Chen X, 2002, BIOINFORMATICS, V18, P1696, DOI 10.1093-bioinformatics-18.12.1696; DAWY Z, 2005, P IEEE ICC 2005 MAY; Freeland SJ, 2003, ORIGINS LIFE EVOL B, V33, P457, DOI 10.1023-A:1025771327614; GOLDMAN N, 1994, MOL BIOL EVOL, V11, P725; HANUS P, 2005, P GERM C BIOINF OCT; Hayes B, 1998, AM SCI, V86, P8, DOI 10.1511-1998.17.3338; Li M, 2001, BIOINFORMATICS, V17, P149, DOI 10.1093-bioinformatics-17.2.149; Liebovitch LS, 1996, BIOPHYS J, V71, P1539; Mac Donaill DA, 2003, ORIGINS LIFE EVOL B, V33, P433; Margulies EH, 2003, GENOME RES, V13, P2507, DOI 10.1101-gr.1602203; MAY E, 2004, J FRANKLIN I, V34, P89; Rosen GL, 2006, IEEE ENG MED BIOL, V25, P62, DOI 10.1109-MEMB.2006.1578665; Siepel A, 2005, GENOME RES, V15, P1034, DOI 10.1101-gr.3715005; STEITZ JA, 1975, P NATL ACAD SCI USA, V72, P4734, DOI 10.1073-pnas.72.12.4734; TAFT RG, 2004, QBIOGN0401020; Yockey HP, 1992, INFORM THEORY MOL BI53

    Bergeron M. et Hanus M. — Les états démentiels réversibles. Ann. Méd. Ps., 1964, 1. 1, n°4, pp. 529-553

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    Bergeron M. et Hanus M. — Les états démentiels réversibles. Ann. Méd. Ps., 1964, 1. 1, n°4, pp. 529-553. In: Bulletin de psychologie, tome 23 n°281, 1970. p. 315

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt
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