1,721,075 research outputs found
TAFI and PAI-1 levels in human sepsis
No full textBACKGROUND: Plasminogen activator inhibitor type-1 (PAI-1) is considered to be the main inhibitor of fibrinolysis in sepsis. However, the contribution of TAFI to the inhibition of fibrinolysis in sepsis is currently unknown. METHODS: TAFI antigen and PAI-1 levels were measured in severe sepsis (n = 32) and septic shock (n = 8) patients. In addition, TAFI antigen levels had been determined in 151 controls. RESULTS: Septic patients had significantly (p < 0.0001) decreased TAFI levels (median: 78.9% [range: 32.4-172.6]) as compared to controls (108.1% [35.9-255.4]). TAFI levels were equal in septic shock and severe sepsis (68.9% [32.4-172.6] vs. 82.5% [32.7-144.9], p = 0.987) as well as in survivors and non-survivors (87.1% [32.7-172.6] vs. 65.8% [32.4-129.5], p = 0.166). PAI-1 levels were significantly (705.5 ng/ml [131-5788]) higher in septic shock as in severe sepsis patients (316.5 ng/ml [53-1311], p = 0.016) and were equal in survivors and non-survivors (342 ng/ml [53-1311] vs. 413 ng/ml [55-5788], p = 0.231). TAT/PAP ratio (R((TAT/PAP))) reflecting the dysbalance between coagulation and fibrinolysis was calculated. R((TAT/PAP)) significantly increased with fatality and was significantly dependent on PAI-1, but not on TAFI. PAI-1 levels (570.5 ng/ml [135-5788]) and R((TAT/PAP)) (1.6 [0.3-6.1]) were significantly (p = 0.008 and p = 0.047) higher in patients with overt DIC as compared to patients without overt DIC (310 ng/ml [53-1128] and 0.6 [0.1-4.3]), whereas no difference was found for TAFI levels (68.9% [32.7-133.2] vs. 86.4% [32.4-172.6], p = 0.325). CONCLUSIONS: Although inhibition in sepsis is mediated by both, PAI-1 might be involved early in the sepsis process, whereas TAFI might be responsible for ongoing fibrinolysis inhibition in later stages of sepsis
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
Factor XIII in severe sepsis and septic shock
No full textOBJECTIVE: In sepsis, activation of coagulation and inhibition of fibrinolysis lead to microvascular thrombosis. Thus, clot stability might be a critical issue in the development of multiple organ dysfunction syndrome. Activated FXIII (FXIIIa) forms stable fibrin clots by covalently cross-linking fibrin monomers. Therefore, we investigated the impact of FXIII antigen and activity levels on disease severity and fatality in sepsis patients. PATIENTS AND METHODS: FXIII subunit A (FXIIIA) and FXIII cross-linking activity (FXIIICA) were measured in 151 controls, in 32 patients with severe sepsis and 8 with septic shock. In addition, FXIII subunit B (FXIIIB) was measured in the sepsis patients. Moreover, clotting parameters were determined. RESULTS: Patients suffering from sepsis (n=40) had significantly (p<0.005) lower FXIIIA levels (median [range]: 36.5% [8.8-127.4%]) and FXIIICA levels (76.5% [9.4-266%]) as compared to healthy controls (n=151, 119% [31.3-283.2] and 122.4% [40.6-485.3], respectively). No difference in FXIIIA, FXIIIB and FXIIICA levels between survivors and non-survivors, nor between patients with severe sepsis and septic shock was found. The specific activity of FXIII (FXIIICA/FXIIIA, SA(FXIII)) was significantly (p<0.001) higher in sepsis patients (2.0 [0.8-5.3]) as compared to healthy controls (1.0 [0.4-5.1]). SA(FXIII) significantly (p<0.05) increased with fatality (non-survivors [n=13] vs. survivors [n=27]: 3.3 [1.2-5.0] vs. 1.9 [0.8-5.3]) and disease severity (septic shock vs. severe sepsis: 3.4 [1.8-4.3] vs. 1.9 [0.8-5.3]). CONCLUSION: We show decreased FXIIICA and FXIIIA levels, but higher SA(FXIII) in sepsis as compared to controls. Increased SA(FXIII) correlates with disease severity and fatality in sepsis patients
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