186,282 research outputs found
Grammaticae hebraicae et chaldaicae, ex optimis quae hactenus prodierunt nova facilique methodo concinnata, tomus II : complectens syntaxim figuratam sive rhetoricam sacram, grammaticae chaldaicae compendium, nec non varia ad literaturam hebraicam spectantia, cum indicibus locupletissimis
No full textSign. : a-o\p4\s, p\p2\s, A-Z\p4\s, 2A-2Z\p4\s, 3A-3Z\p4\s, 4A-4Z\p4\s, 5A-5D\p4\sPort. con grab. xilLas ilustraciones xil. y cal
Grammaticae hebraicae et chaldaicae, ex optimis, quae hactenus prodierunt, nova facilique methodo concinnatae, tomus II : complectens syntaxim figuratam, sive rhetoricam sacram, grammaticae chaldaicae compendium, necnon varia ad literaturam hebraicam spectantia, cum indicibus locupletissimis
No full textCopia digital : Google BooksLa segunda fecha consta en colofón, en verso de 5D\b4\sSign. : a-o\p4\s, p\p2\s, A-Z\p4\s, 2A-2Z\p4\s, 3A-3Z\p4\s, 4A-4Z\p4\s, 5A-5D\p4\sPortada con grabado xilográficoParte del texto a dos columnasLas ilustraciones xilográficas y calcográfica
Thomas Borrel, Amzat Boukari Yabara, Benoît Collombat, Thomas Deltombe (2021) - L\u27Empire qui ne veut pas mourir. Une histoire de la Françafrique
No full textCritical review: Thomas Borrel, Amzat Boukari Yabara, Benoît Collombat, Thomas Deltombe, L’Empire qui ne veut pas mourir. Une histoire de la Françafrique, Paris, Seuil, 2021, 1008 p.Recensé : Thomas Borrel, Amzat Boukari Yabara, Benoît Collombat, Thomas Deltombe, L’Empire qui ne veut pas mourir. Une histoire de la Françafrique, Paris, Seuil, 2021, 1008 p.
Traduction : Louise Barré et Camille Evrard
A genetic mouse model for progressive ablation and regeneration of insulin producing beta-cells
No full text<div><p>The putative induction of adult β-cell regeneration represents a promising approach for the treatment of type 1 diabetes. Toward this ultimate goal, it is essential to develop an inducible model mimicking the long-lasting disease progression. In the current study, we have established a novel β-cell ablation mouse model, in which the β-cell mass progressively declines, as seen in type 1 diabetes. The model is based on the β-cell specific genetic ablation of the transcription initiation factor 1A, TIF-IA, essential for RNA Polymerase I activity (TIF-IA<sup>Δ/Δ</sup>). Using this approach, we induced a slow apoptotic response that eventually leads to a protracted β-cell death. In this model, we observed β-cell regeneration that resulted in a complete recovery of the β-cell mass and normoglycemia. In addition, we showed that adaptive proliferation of remaining β-cells is the prominent mechanism acting to compensate for the massive β-cell loss in young but also aged mice. Interestingly, at any age, we also detected β-like cells expressing the glucagon hormone, suggesting a transition between α- and β-cell identities or <i>vice versa</i>. Taken together, the TIF-IA<sup>Δ/Δ</sup> mouse model can be used to investigate the potential therapeutic approaches for type 1 diabetes targeting β-cell regeneration.</p></div
Pancreatic beta-cells: From generation to regeneration.
No full textThe pancreas is composed of two main compartments consisting of endocrine and exocrine tissues. The majority of the organ is exocrine and responsible for the synthesis of digestive enzymes and for their transport via an intricate ductal system into the duodenum. The endocrine tissue represents less than 2% of the organ and is organized into functional units called islets of Langerhans, comprising alpha-, beta-, delta-, epsilon- and PP-cells, producing the hormones glucagon, insulin, somatostatin, ghrelin and pancreatic polypeptide (PP), respectively. Insulin-producing beta-cells play a central role in the control of the glucose homeostasis. Accordingly, absolute or relative deficiency in beta-cells may ultimately lead to type 1 and/or type 2 diabetes, respectively. One major goal of diabetes research is therefore to understand the molecular mechanisms controlling the development of beta-cells during pancreas morphogenesis, but also those underlying the regeneration of adult injured pancreas, and assess their significance for future cell-based therapy. In this review, we will therefore present new insights into beta-cell development with focus on beta-cell regeneration
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
The mouse orthologue of ARX, a gene mutated in several X-linked forms of mental retardation and epilepsy, is an early marker of most forebrain GABAergic neurons
No full textAppropriate 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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