1,720,958 research outputs found
Variasi DNA Mitokhondria dari Ikan kakap Putih Budidaya dan Dari Tangkapan Liar Di Thailand
Kakap Putih (Lates calcarifer Bloch) adalah salah satu ikan ekonomis penting yang benihnya dapat diproduksi Thailand. Data genetik merupakan salah satu aspek penting dalam mengatur pemijahan induk untuk pemuliaan, namun hingga saat ini informasi terkait keragaman genetiknya masih minim. Penelitian ini bertujuan mengkaji keragaman dan perbedaan genetik kakap putih pada tiga populasi hatchery dan dua populasi alam di Thailand dengan menggunakan metode gabungan antara Restriction Fragment Length Polymorphisms dan Polymerase Chain Reaction (PCR-RFLP) pada D-loop control region di DNA mitokondria. Ditemukan tujuh potongan endonuklease dari 268 sampel yang diamati. Populasi alami Chantaburi (CH) memiliki keragaman haplotipe dan nukleotida tertinggi (h = 0.6626, π = 0.0554) dibandingkan populasi lainnya: tiga populasi hatcheri yaitu Rayong (RA), Chonburi (CB) dan Nakhon Si Thammarat (NK) ) (h berkisar antara 0.2709 – 0.3227; π berkisar antara 0.0195 – 0.386) dan populasi alam Nakhon Si Thammarat (PN) (h = 0.172, π = 0.0091). Mismatch distribution analysis mengungkap kejadian bottleneck pada beberapa generasi sebelumnya di populasi alam PN dan seluruh populasi hatcheri. Analysis of Molecular Variance (AMOVA) menunjukkan 88.95% keragaman disebabkan perbedaan dalam populasi dan 11.05 % disebabkan perbedaan antar populasi. Perbedaan genetik yang signifikan terdapat pada perbedaan antar populasi alam (ΦST = 0.239, P<0.001), namun perbedaan antar populasi hatchery tidak signifikan, menunjukkan terjadi pencampuran genetik sekerabat antar satu dengan hatcheri lainnya. Hal ini karena minimnya masukkan indukan baru dari alam. Kedua hal tersebut dapat menurunkan keragaman dan perbedaan genetik pada setiap populasi hatchery dan antar populasi hatchery. Data awal penelitian ini dapat digunakan unt
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
Detection of multiple paternity in green turtle clutches during a reproductive season at Khram Island, Thaiand
Organized by Graduate School of Informatics, Kyoto University ; JSPS Bangkok Liaison Office ; Japanese Society of Bio-logging Science ; Informatics Research Center for Development of Knowledge Society InfrastructureDecember 13-15, 2004, Imperial Tara Hotel, Bangkok, ThailandAlthough direct observations have been suggesting that multiple mating in green turtle (Chelonia mydas) may be quite common at Khram Island, Chonburi, Thailand, the number of successful males is still in question. Genetic analysis technique is a tool for investigation. We preliminary evaluated the proportions of successful breeding males and females of green turtle in a natural population at Khram Island, Gulf of Thailand, using two microsatellite markers. We analyzed genotypes of 77 tissue samples collected from 3 nesting females, and at least seven offsprings per clutch in three successive clutches within a reproductive season (total of nine clutches). We were able to detect multiple paternity of the hatchlings. For most clutches, at least two males successfully sired hatchlings within each clutch. Throughout a nesting season, at least three different males could mate with the same female and there were at least seven males successfully mating with this set of females. This study confirmed the effectiveness of microsatellite DNA markers in detecting multiple paternity within natural populations of green turtle. However, to reduce the confounding effects of mutations on allele assignment and to increase power to monitor individual's genetic contribution, we need additional variable genetic markers
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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