1,721,081 research outputs found
The ischemic/nephrotoxic acute kidney injury and the use of renal biomarkers in clinical practice
The term Acute Renal Failure (ARF) has been replaced by the term Acute Kidney Injury (AKI). AKI indicates an abrupt (within 24–48 h) decrease in Glomerular Filtraton Rate, due to renal damage, that causes fluid and metabolic waste retention and alteration of electrolyte and acid-base balance. The renal biomarkers of AKI are substances or processes that are indicators of normal or impaired function of the kidney. The most used renal biomarker is still serum creatinine that is inadequate for several reasons, one of which is its inability to differentiate between hemodynamic changes of renal function (“prerenal azotemia”) from intrinsic renal failure or obstructive nephropathy. Cystatin C is no better in this respect. After the description of the pathophysiology of “prerenal azotemia” and of Acute Kidney Injury (AKI) due to ischemia or nephrotoxicity, the renal biomarkers are listed and described: urinary NAG, urinary and serum KIM-1, serum and urinary NGAL, urinary IL-18, urinary L-FABP, serum Midkine, urinary IGFBP7 and TIMP2, urinary α-GST and π-GST, urinary ɣGT and AP, urinary β2M, urinary RBP, serum and urinary miRNA. All have been shown to appear much earlier than the rise of serum Creatinine. Some of them have been demonstrated to predict the clinical outcomes of AKI, such as the need for initiation of dialysis and mortality
Elevated 1-h post-load plasma glucose levels in subjects with normal glucose tolerance are associated with a pro-atherogenic lipid profile
Background and aims Evidence suggests that plasma glucose concentration ≥155 mg/dl at 1h during an oral glucose tolerance test (OGTT) (NGT 1 h-high) predicts both development of type 2 diabetes (T2DM) and cardiovascular events, among adults with normal glucose tolerance (NGT). An atherogenic lipid profile is detectable in subjects with impaired glucose tolerance (IGT) and T2DM. Whether individuals with NGT-1h-high also exhibit a pro-atherogenic lipid profile is still uncertain. Methods The study cohort includes 1011 non-diabetic Caucasian adults participating in the CATAMERI study. All participants were submitted to anthropometrical evaluation before undergoing an OGTT. Subjects were categorized into NGT 1 h-low (1 h glucose < 155 mg/dl), NGT 1 h-high, IGT, and newly diagnosed T2DM. Lipid profile includes triglycerides, total and HDL cholesterol, apolipoprotein B (ApoB) and ApoA-1. Results 510 subjects were NGT 1 h-low, 211 NGT 1 h-high, 232 IGT and 58 were newly diagnosed T2DM. Triglyceride and ApoB levels were significantly higher in NGT 1 h-high, IGT and T2DM subjects compared to NGT 1 h-low, and HDL cholesterol was significantly lower. Triglycerides-to-HDL cholesterol ratio was significantly higher in NGT 1 h-high, IGT and T2DM groups compared with NGT 1 h-low individuals. The ApoB/ApoA-1 ratio was significantly higher in NGT 1 h-high, IGT and T2DM groups than in the NGT 1 h-low group. NGT 1 h-high, IGT and T2DM subjects exhibited reduced LDL/ApoB ratio compared with NGT 1 h-low. Noticeably, there were no significant differences in ApoB/ApoA-1 and LDL/ApoB ratios when comparing NGT 1 h-high with IGT and T2DM. Conclusions Individuals with NGT 1-h-high exhibited an atherogenic lipid pattern qualitatively and quantitatively similar to that observed in individuals with IGT and newly diagnosed T2DM
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
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
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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