186,517 research outputs found
Morlat Patrice, Les Grands Commis de l’Empire colonial français, 2010
No full textDroz Bernard. Morlat Patrice, Les Grands Commis de l’Empire colonial français, 2010. In: Outre-mers, tome 100, n°380-381,2013. Missions chrétiennes et pouvoir colonial. p. 346
Morlat Patrice (dir.), Les grands commis de l'empire colonial français
No full textBonin Hubert. Morlat Patrice (dir.), Les grands commis de l'empire colonial français. In: Outre-mers, tome 98, n°370-371, 1er semestre 2011. Le contact colonial dans l'empire français : XIXe-XXe siècles, sous la direction de Maria Romo-Navarrete et Sarah Mohamed-Gaillard . p. 373
Assessment of the Chain Dependence Relationships Between Geology, Soil Properties and Grape Composition Using a Metric Generalization of Partial Least Squares Regression
No full textAuthor-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
The disjointed influence of soil and climate on grape productivity and quality. An assessment by OMCIA-PLSR statistics on a case study in southern Italy
No full textThis paper reports the results of an investigation aiming to assess: i) the influence of soil and/or climate on the qualitative and quantitative features of grape, and, ii) the consistency of soil-wine-grape relationships under contrasting climatic conditions. The grapes were from Falanghina which is a relevant autochthonous vineyard of Southern Italy. To stress results, the analysis considered two different years (2002 and 2003), characterised by very contrasting climatic conditions in terms of both rain and temperature. Differences in the mean values of grape characteristics from one year to another were statistically evaluated using the usual student t-test. Relationships between soil properties and 2002-2003 grape variables were then simultaneously evaluated using the explorative OMCIA-PLSR statistics. OMCIA-PLSR is a new multivariate statistical method for making predictive models and belonging to the class of the explorative data analysis. Titratable acidity (TAc) and malic acid (Mal) were positively correlated to soil total nitrogen (N), exchangeable potassium (K), and organic carbon (OC), whereas tartaric acid (Tar) was negatively related with soil exchangeable calcium (Ca), pH and carbonates (CaCO3). Statistical analysis revealed that the mean weight of cluster and berry did not change during the investigated period, as well as the structure of relationships between soil and grape variables was highly comparable and consistent from one year to another. Contrastingly, the values of grape compositional compounds, as TAc, Mal, tartaric acid (Tar), soluble solids (Brix) and grape pH (GpH) varied significantly from 2002 to 2003 vintage. Results showed that soil and climate independently affect quantitative and qualitative grape features, respectively
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full textWe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Edward P. Wimberly, ITC, July 2011
No full textThis video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
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