1,720,960 research outputs found
Applications of the Stewart model for the analysis of acid-base disturbances in dogs with chronic renal insufficiency
No full textThe objective of these studies was to introduce the Stewart approach to analyses of acid-base changes in dogs with the chronic renal failure (CRF). The acid-base status was investigated in 12 healthy dogs and 20 dogs with CRF. In the CRF affected dogs the level of urea and creatinin rose to 350 mg/dl and 394.8 mu mol/l respectively. The three independence variables (P-CO2, SID-strog ion difference, and the A(tot)-sum of net charges of nonvolatile plasma buffers (albumin + inorganic phosphate) together with the strong ion gap (SIG) were calculated by a method adopted from articles employing Stewart's approach. The SID averaged 41.85 mEq/l and 48.81 mEq/1 in normal and diseased dogs respectively. Nonvolatile plasma buffers (A(tot)) were higher especially in more severely diseased dogs. The most considerable changes in affected dogs have been observed in SIG where, together with the increasing values of urea, the quantity of SIG successively dropped, attaining negative values (-28.03 mEq/l). The albumin values were significantly associated with the SID values. All affected dogs have metabolic acidosis partly compensated by respiratory alkalosis. As has been clearly observed the estimation of SIG may be used as an accurate marker of CRF in dogs
Application of Stewart model for analysis acid-base disturbances in dog with chronic renal insufficient
No full textStimulation of ovulation rate in ewes by continuous oxytocin administration during oestrus..
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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
Proliferative and oxidative response of hepatocytes (Hep) and hepatic stellate cells (HSC) isolated from rats exposed to ketogenic diet
No full textKetogenic diet (KD) is considered in the context of its anti-epileptic effects, but its influence on liver dysfunction has not been elucidated yet. The study was aimed to investigate the activity of hepatocytes (Hep) and hepatic stellate cells (HSC) isolated from rats fed with KD, in respect of NO and superoxide generation by these cells as well as their proliferative activity in vitro. We also sought to characterize the plasma FFA profiles in control and ketogenic rats. Hep and HSC were isolated by the collagenase perfusion method and separated by the Percoll gradient centrifugation. After the 4th, 8th and 12th day of incubation, the media were collected for further analysis. NO generation increased within the time of incubation both in Hep and HSC isolated from KD-rats. In HSC group NO production raised significantly from 2.65 ± 0.07 μM/10⁶ cells on 4th day of incubation to 5.49 ± 1.2 μM/10⁶ cells on 12th day of incubation. In respect to O₂-. generation experimental Hep and HSC provide considerably higher quantities of this free radical. until 12th day of incubation (2.5 ± 0.07 and 3.2 ± 0.3 nM/10⁶ cells, respectively). Although KD exerts anti-proliferative effect on hepatocytes, in respect to HSC it intensifies their proliferative activity. Furthermore, as we estimated on the basis of NO and O₂-. generation both Hep and HSC exposed to KD are the source of free radicals
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
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