1,721,153 research outputs found
Jiang Tang Fang Long Jiao Nang in Treating Non–Insulin Dependent Diabetes Mellitus with Hearing Loss
No full textAbstractObjectiveTo study the efficacy and safety of the Jiang Tang Fang Long Jiao Nang (Hypoglycemic Anti–Deafness Capsule) in treating non–insulin dependent diabetes mellitus with hearing loss.MethodsTwo hundred ninety six patients with non–insulin dependent diabetes mellitus and hearing loss were randomly assigned to a treatment group(n=164, 208 ears) and a control group(n=132, 184 ears). Patients in the treatment group were treated with the Jiang Tang Fang Long Jiao Nang and supplement herbal preparations as indicated by traditional Chinese medicine dialectical assessment, while control patients received glibenclamide and conventional treatments for deafness. Hearing, fasting blood glucose (FBG), post–prandial blood glucose (PBG), 24 hour urine sugar, platelet function indices, blood superoxide dismutase(SOD) and lipid peroxides (LPO) levels, and symptom improvement were compared between the two groups.ResultsThe rate of hearing improvement was 56.7% for the treatment group and 26.6% for the control. FBG, PBG and 24 hour urine sugar improved in both groups, but the last two were superior in the treatment group compared to the control. Symptoms improvement was also superior in the treatment group compared to the control. In patients receiving Jiang Tang Fang Long Jiao Nang treatment, platelet function indices, SOD and LPO were all improved, while only LOP improvement was noticed in control patients. No acute or long–term toxicity was demonstrated for the Jiang Tang Fang Long Jiao Nang in animal tests. The Jiang Tang Fang Long Jiao Nang lowered blood glucose and serum triglycerides in a rat model of alloxan–induced diabetes.ConclusionThe Jiang Tang Fang Long Jiao Nang is effective in improving hearing and diabetic indices in diabetic patients with deafness, without significant side effects
Effects of Jiang Tang Fang Long Formula on Insulin Production and Function in an Animal Model of Diabetic Hearing Loss
No full textAbstractObjectiveTo study the influence of Jiang Tang Fang Long formula on insulin production and function in an animal model of diabetic hearing loss.MethodsWistar rats (n=60) were randomly divided into 6 groups (10 in each) to receive no treatment (the normal control, Group A), or to receive intra-peritoneal 55 mg/kg streptozotocin with (Groups C, D and E) or without (Group B) subsequent Jiang Tang Fang Long formula treatment at various doses or Yu Long Wan treatment (Group F). After 60 days, fasting blood glucose (FBG), body weight (BW) and fasting insulin (FINS) were recorded and the HOMA-IR and HOMA-β calculated. Insulin expression in pancreatic tissues was measured by radioimmunoassay.ResultsCompared with animals that received streptozotocin without rescue treatment (Group B), animals that received higher doses of Jiang Tang Fang Long formula(Groups D and E) showed improved indices of diabetes manifestation (P< 0.05) and improved HOMA-β (P<0.05) in a dose-dependent manner, as well as improved insulin expression in pancreatic islets (P<0.05). The difference between low dose Jiang Tang Fang Long formula treatment (Group C) and Group B was not significant (P>0.05).ConclusionOur results suggest that Jiang Tang Fang Long formula may improve pancreatic β-cells function which may explain its efficacy in treating diabetic hearing loss
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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