1,720,978 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
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
Strukturoptimierung von Diarylverbindungen in Bezug auf die Wachstumshemmung von menschlichen Endothelzellen
vorgelegt von: Daniela DiglesZusammenfassung in deutscher und englischer SpracheMolecular BiotechnologyMasterarbeit FH Campus Wien 200
Dispelling the Myths Behind First-author Citation Counts
We 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
Combined in silico/in vitro screening tools for identification of new insulin receptor ligands
Die Interaktion von Insulin mit dem extrazellulären Teil des Insulinrezeptors ist ein entscheidender Schritt des Insulin-Signalweges. Der Insulinrezeptor wird daraufhin autophosphoryliert und die intrazelluläre Tyrosinkinasedomäne wird aktiviert. Im Jahr 1999 publizierten Zhang et al. einen Wirkstoff der in einem Pilzextrakt gefunden wurde und den humanen Insulinrezeptor aktivieren kann, indem er direkt mit der intrazellulären Domäne der beta-Subeinheit interagiert. Diese Substanz (Demethylasterriquinone B-1, DMAQ-B1) ist in der Lage den Blutzuckerspiegel in Mausmodellen für Typ-2 Diabetes zu senken. In den letzten Jahren wurden Strukturen und Aktivitätswerte zu ca. 100 Derivaten dieser Substanz publiziert. Die meisten dieser Verbindungen enthalten eine Quinon-Substruktur, die zu toxischen Nebenwirkungen führen könnte. Da die Behandlung von Typ-2 Diabetes die Langzeittherapie mit Antidiabetes-Medikamenten beinhaltet, wäre es vorteilhaft, Insulinrezeptor aktivierende Wirkstoffe aus einer anderen Strukturklasse zu finden.
Das Ziel dieser Dissertation war die Entwicklung von Computermodellen, die zur Identifizierung von neuen, Insulin- imitierenden Wirkstoffen führen können, sowie die anschließende Validierung der Modelle in biologischen (zellbasierten) Experimenten. Drei unterschiedliche ligandenbasierte Methoden, nämlich Self-organizing Maps, Fingerprint- sowie Shape-ähnlichkeit, wurden verwendet um in einer großen kommerziellen Datenbank nach potenziellen Insulinrezeptor aktivierenden Wirkstoffen zu suchen. Durch die Testung von 13 repräsentativen Verbindungen der identifizierten Substanzklassen konnten wir drei Strukturen identifizieren, die Akt, eine downstream Kinase des aktivierten Insulinrezeptors aktivierten.
Eine dieser Substanzen war in der Lage die Glukoseaufnahme in Muskelzellen zu verstärken. Derivate dieser Struktur wurden untersucht, um weiterführende Informationen über Struktur-Aktivitätsbeziehungen zu erhalten. Zusätzlich wurde die Zytotoxizität der Substanzen getestet, um zu zeigen, dass die Insulin imitierende Aktivität der identifizierten Moleküle nicht mit toxischen Effekten korreliert.The binding of insulin to the extracellular part of the insulin receptor is a key step in the insulin signalling pathway. Upon binding, the receptor is autophosphorylated and the intracellular tyrosine kinase is activated. In 1999, Zhang et al. published a small molecule identified from a fungal extract, which activates the human insulin receptor by binding directly to the intracellular domain of its beta-subunit. This compound (demethylasterriquinone B-1, DMAQ-B1) was shown to lower blood glucose levels in mouse models of type 2 diabetes mellitus. During the last years, structures and activities of approximately 100 derivatives of this compound have been published. Most of these structures contained a quinone substructure, which might cause toxic side effects. Since treatment of type 2 diabetes includes long-term administration of anti-diabetic compounds, it would be beneficial to find compounds with a different type of structure which activate the insulin receptor.
The aim of this dissertation was to build computational models which can be used to screen for new insulin-mimetic compounds and subsequent validation of the models by testing some of the obtained hits in relevant biological (i.e. cell-based) experiments. Three different ligand based computational methods, namely self-organizing maps, fingerprint similarity and shape similarity, have been used to screen a large vendor database for potential insulin receptor activating compounds. By testing 13 representative compounds from the identified scaffolds we found three compounds which are able to activate Akt kinase, an important downstream target of the activated insulin receptor.
One of the compounds increased glucose uptake in muscle cells. Derivatives of these compounds were further investigated to gain information on structure activity relationships. Additionally, the toxicity of the compounds in cells was assessed to show that the insulin-mimetic activity of our identified molecules is not correlated with toxic effects
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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