1,720,960 research outputs found
Machine learning survival analysis on couple time-to-divorce data
No full textMarriage life does not always last harmoniously and occasionally can lead to divorce. The trend for the last three years since 2019 shows that divorce cases in Palangka Raya occur with a fluctuating trend that has recently been increasing. This research used a machine learning method called Survival Support Vector Machine on the divorce dataset in Palangka Raya. This research developed a feature selection technique using backward elimination to determine the factors influencing the couple’s decision to have their divorce registered in the religious court. The backward elimination method yielded the variables contributing to divorce: the number of children, the defendant's occupation, the plaintiff's age at marriage, the cause of divorce, and the defendant's education. Based on the comparison of the survival model performance between the Cox proportional hazard and the Survival Support Vector Machine, it was found that the latter was better since it had a higher concordance index and hazard ratio, which were 61.24 and 0.54, respectively. Thus, 61.24% of divorce cases were classified precisely by SUR-SVM in terms of the time sequence of events. Moreover, the hazard ratio of 0.54 indicated that the divorce rate of couples with censored status was 0.54 times than that of couples with failed/endpoint status
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Analysis of Flood Vulnerability using Geographic Information Systems in the Kahayan Watershed, Gunung Mas District, Central Kalimantan: Analisis Tingkat Kerawanan Banjir Menggunakan Sistem Informasi Geografis Pada DAS Kahayan Kabupaten Gunung Mas, Kalimantan Tengah
No full textThis study aims to determined the level of flood vulnerability and most dominant factors that cause flood vulnerability in the Kahayan watershed, Gunung Mas District in Central Kalimantan. This study used a quantitative method by looking at the effect of each flood parameter to determine the level of flood vulnerability or vulnerable areas in the Kahayan watershed. The results are based on research carried out in the Kahayan watershed which has 4 levels of flood vulnerability classification: low vulnerability, medium vulnerability, high vulnerability, and very high vulnerability. The high level of flood vulnerability was the largest area with an area of 568.146 ha or 65,25% of the Kahayan watershed area of Gunung Mas District as a whole, the medium vulnerability level was 185.634 ha (21,32%), very high vulnerability level was 61,716 ha (7,09 %), and low vulnerability was the area with the smallest area of 55.231 ha (6,34%) of the total area of the Kahayan watershed in this district. The sub-districts with the highest area at a very high level of flood susceptibility were Tewah sub-district and Kurun sub-district. The most dominant factor that causes flood vulnerability in the Kahayan watershed area of Gunung Mas District was the slope that reaches 0-8% which was included in the flat category, with 3 land criteria, namely floodplain areas, river border areas, and basin areas
Struktur Komunitas Vegetasi Pada Blok Perlindungan di Kawasan Taman Hutan Raya Lapak Jaru Kabupaten Gunung Mas: Vegetation Community Structure in Protection Block in The Lapak Jaru Highway Forest Park Area Gunung Mas District
Get PDFBotanical Forest Park (Tahura) is very important to support human life and the environment. The purpose of the study was to analyze the structure of the vegetation community, including the level of diversity, and the similarity of the vegetation community. The research method follows the sampling technique procedure with the plot method. Data were analyzed using the Index of Important Value to test the mastery of the species, the Shannon-Wiener Index to test the level of diversity of vegetation species, and community stability, community similarity index to test the similarity between flora communities. The results obtained are the value of the species diversity index, in general, is included in the medium category, which means that productivity is sufficient, ecosystem conditions are quite balanced, and ecological pressure is moderate. The species evenness index is high, the species richness index is in the medium category, and the similarity index between plant communities is very high.Taman Hutan Raya (Tahura) sangat penting untuk menunjang kehidupan manusia dan lingkungan. Tujuan penelitian untuk menganalisis struktur komunitas vegetasi, termasuk tingkat keanekaragaman, dan kesamaan komunitas vegetasinya. Metode penelitian mengikuti prosedur teknik sampling dengan metode plot. Data dianalisis menggunakan Indeks Nilai Penting untuk menguji penguasaan jenis, Indeks Shannon-Wiener untuk menguji tingkat keanekaragaman jenis vegetasi, stabilitas komunitas, indeks kesamaan komunitas untuk menguji kesamaan antar komunitas flora. Hasil penelitian diperoleh yaitu nilai indeks keanekaragaman jenis secara umum termasuk dalam kategori sedang, yang berarti produktivitas cukup, kondisi ekosistem cukup seimbang, dan tekanan ekologi sedang. Indeks kemerataan jenis tergolong tinggi, indeks kekayaan jenis dalam kategori sedang, dan indeks kesamaan antar komunitas tumbuhan sangat tinggi
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