1,721,027 research outputs found
Effect of the administration of alfaprostol 3 or 6 days after ovulation in jennies: ultrasonographic characteristic of corpora lutea and serum progesterone concentration
No full textDonkey jenny's corpus luteum (CL) response to PGF2α analogues has not been investigated in depth. Aim of this study was to evaluate the donkey jenny's corpus luteum (CL) ultrasonographic characteristics (diameter, area and vascularized area) by B-Mode, Color Doppler and serum progesterone concentration ([P4]) after treatment with the prostaglandins F2α analogue alfaprostol at day 3 or day 6 after ovulation (groups PG3 and PG6, respectively). [P4] was positively correlated (P < 0.0001) with CL diameter: r2 = 0.17; area: r2 = 0.21 and vascularized area: r2 = 0.54. The interovulatory interval was significantly reduced in the PG6 group (15 ± 1.8 days), compared to the control group (24.5 ± 2.9 days; P < 0,05), while there were no significant differences in interovulatory interval between PG3 (21.7 ± 7.9 days) and control or PG6 group. [P4], in the 6 jennies of the PG6 group, dropped under 1 ng/mL within 2 days after treatment, remaining under this concentration until [P4] raised again to levels comparable with those of the control group until spontaneous luteolysis. After alfaprostol administration, one of the 2 remaining PG3 group jennies showed a complete luteolysis, and the other one underwent a partial luteolysis and ovulated in diestrus
Andamento plasmatico di progesterone, 17b-estradiolo e IGF-I durante il ciclo estrale della cavalla
No full textDiversi ormoni entrano in gioco nella regolazione della fisiologia riproduttiva nella cavalla. Tra questi, il progesterone (P4),
il 17-β-estradiolo (E2) e il fattore di crescita insulino-simile I (IGF-I) giocano un ruolo fondamentale. Lo scopo di questo
studio è stato quello di fornire un quadro completo delle variazioni ormonali durante il ciclo estrale della cavalla, tramite
la valutazione dei livelli plasmatici di P4, E2 e IGF-I nel periodo compreso tra due ovulazioni successive. A questo scopo 10
cavalle sono state esaminate ecograficamente ogni 12 ore a partire dall’inizio dell’estro fino all’ovulazione. In seguito l’esame
ultrasonografico è stato ripetuto ogni giorno fino alla comparsa dell’estro successivo, momento dal quale si riprendeva
la valutazione ogni 12 ore fino alla seconda ovulazione. Contemporaneamente, da ogni cavalla sono stati raccolti campioni
ematici ogni mattina, tra le 8:00 e le 10:00, a partire dal giorno della prima ovulazione quotidianamente fino al giorno dell’ovulazione
successiva. L’analisi del P4, dell’E2 e dell’IGF-I è stata effettuata tramite metodica RIA. La lunghezza media del
ciclo estrale è stata di 22,1 giorni e il diametro follicolare preovulatorio medio è stato di 41,3 mm. Il valore medio di P4
plasmatico all’ovulazione è stato di 0,15 ng/ml; nei giorni successivi il P4 è cresciuto progressivamente raggiungendo valori
maggiori di 10 ng/ml da 5 a 13 giorni post-ovulazione. La concentrazione plasmatica media di E2 all’ovulazione è stata di 6,5
pg/ml. Il calo progressivo di E2 è stato osservato fino al nono giorno post-ovulazione, seguito da un rapido aumento delle
concentrazioni plasmatiche di questo ormone. Considerando entrambe le ovulazioni, i valori di IGF-I hanno mostrato un
range tra 40,1 e 80 ng/ml. Il valore più alto di questo ormone è stato riscontrato al giorno 19, che corrisponde al primo
giorno di estro, anche se durante tutto il periodo di osservazione l’IGF-I ha mostrato un andamento altalenante
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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