186,365 research outputs found
Aspin (Hautes-Pyrénées). Mont Saint-Georges (Sondages)
No full textBoudartchouk Jean-luc. Aspin (Hautes-Pyrénées). Mont Saint-Georges (Sondages). In: Archéologie médiévale, tome 23, 1993. p. 409
Aspin (Hautes-Pyrénées). Mont Saint-Georges (Sondages)
No full textBoudartchouk Jean-luc. Aspin (Hautes-Pyrénées). Mont Saint-Georges (Sondages). In: Archéologie médiévale, tome 23, 1993. p. 409
NMR chemical shift perturbations in Bm-Aspin due to pepsin interactions.
No full text<p>Perturbations in the chemical shift position of the residues Y215 (a), I214 (b), and A213 (c) respectively in Bm-Aspin upon addition of increasing concentrations of pepsin. Ratios of Bm-Aspin to pepsin are: 1∶0 (red), 1∶0.1 (cyan), 1∶0.5 (green), and 1.1 (yellow).</p
NMR screening on Bm-Aspin with different detergents.
No full text<p><sup>15</sup>N HSQC spectra of Bm-Aspin at pH 7.0 with the addition of: (i) No detergent (ii) 0.5 M Urea and 1% glycerol (iii) 1% <i>n</i>-octyl-β-D-glucoside (OG), (iv) 100 mM n-Dodecyl β-D-Maltopyranoside (DDM) (v) 1% triton X-100, and (vi) 100 mM SDS.</p
Kinetics of aspartic protease inhibition by Bm-Aspin.
No full text<p>Lineweaver-Burk Plots showing the variation (1/V with that of 1/S) of competitive inhibition of pepsin (A) and cathepsin-E (C), non-competitive for renin (B) and mixed inhibition for cathepsin-D (D) respectively. Assays were carried out in triplicates, with the fixed quantity of proteases (5 mM) and varying concentrations of Bm-Aspin (0 mM, 1 mM, 2.5 mM and 5 mM) The inhibition constants were determined using Graphpad Prism 2.0 (San Diego, CA).</p
Bm-Aspin <sup>15</sup>N HSQC spectra at varying concentrations of SDS.
No full text<p>Comparison of Bm-Aspin <sup>15</sup>N HSQC spectra in the presence of varying concentrations of SDS; (<b>i</b>) 50 mM SDS, (ii) 100 mM SDS, (iii) 150 mM SDS, and (iv) 200 mM SDS. The inset box indicates the well resolved glycine peaks for comparison to identify the optimum solvent conditions for a well behaved NMR spectrum.</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
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