1,720,956 research outputs found
SGOT/SGPT levels in blood serum on rats (Rattus norvegicus) that CCl4 induced then its treatment by ethanol extract of Curcuma xanthorrhiza rhizome as hepatoprotector
CCl4 is a xenobiotic compound that could be entered into body by digestion and ingestion system. It trigger to produce ROS until lipid peroxydation which can increase SGOT/SGPT levels on blood serum. Both SGOT and SGPT are transaminase enzymes that activated on blood serum and they were produced in hepatocyte. If there are radicals in hepatocyte as final product of lipid peroxydation, then they are exit from cytoplasm on hepatocyte to intravenous so theirs levels is increase in blood. Producing of radicals from ROS in lipid peroxydation can be scavenged by antioxidant compounds on ethanol extract of Curcuma xanthorrhiza rhizome. This research are aimed to determine of SGOT/SGPT levels on blood serum in each of groups. This research used male rats that divided into five groups, that were negative control (A group), positive control (CCl4 10% induced (B group)) and therapy groups (200, 400, and 800 mg/kg BW of Curcuma xanthorrhiza rhizome ethanol extracts (C, D, E groups respectively)). SGOT/SGPT levels was analyzed, its result was 165/92, 264/141, 161/64, 130/59 and 135/55 U/L respectively. Based on the Tukey’s HSD test (p = 0.1), SGOT/SGPT levels in positive control was significance different (p < 0.1) to negative control, but theirs levels in 400 and 800 mg/kg BW of Curcuma xanthorrhiza rhizome ethanol extract therapy groups were not significance different (p > 0.1) to negative control. Thereby, 400 and 800 mg/kg BW of Curcuma xanthorrhiza rhizome ethanol extracts was more effective as hepatoprotector which known from decreasing of SGOT/SGPT levels
STUDI TOKSISITAS SUBKRONIK EKSTRAK KULIT BAWANG MERAH (ALLIUM SP) PADA PARU TIKUS (RATTUS NORVEGICUS) DIINDUKSI OLEH KETOROLAC
Ketorolac adalah obat antiinflamasi nonsteroid (NSAID) yang sering digunakan karena efektivitasnya dalam meredakan nyeri dan inflamasi. Namun, penggunaan jangka panjang atau dosis tinggi dapat menyebabkan toksisitas organ, termasuk paru-paru. Kerusakan jaringan paru akibat ketorolac sering melibatkan edema, inflamasi difus, dan fibrosis ringan. Untuk mengatasi efek samping ini, ekstrak kulit bawang merah (Allium sp.), yang kaya akan senyawa flavonoid dan antioksidan seperti quercetin, dievaluasi potensinya sebagai agen pelindung paru. Tujuan dari penelitian ini adalah untuk mengetahui efek protektif dan potensi toksisitas subkronik ekstrak kulit bawang merah terhadap jaringan paru tikus putih (Rattus norvegicus) yang diinduksi ketorolac. Desain penelitian ini bersifat eksperimental dengan lima kelompok perlakuan: kontrol negatif, ketorolac, ketorolac+ranitidine, serta ketorolac dengan ekstrak kulit bawang merah dosis 100 mg/kgBB dan 200 mg/kgBB. Evaluasi dilakukan selama 7 hari melalui pengamatan histopatologis paru menggunakan pewarnaan Hematoxylin-Eosin, dan penilaian dilakukan dengan skoring terhadap edema, inflamasi, dan fibrosis. Hasil menunjukkan bahwa kelompok ketorolac mengalami kerusakan paling parah, sedangkan pemberian ekstrak 200 mg/kgBB mampu menurunkan tingkat edema dan inflamasi secara signifikan serta memperbaiki struktur alveoli. Kesimpulannya, ekstrak kulit bawang merah pada dosis 200 mg/kgBB memberikan efek protektif terhadap jaringan paru yang rusak akibat ketorolac. Penelitian ini membuka peluang penggunaan bahan alam sebagai terapi adjuvan dalam pengurangan toksisitas obat, namun diperlukan studi lanjutan pada tingkat molekuler dan klinis
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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