1,720,984 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    GINGIVITIS PADA IBU HAMIL SEBAGAI FAKTOR RISIKO TERJADINYA BAYI BERAT BADAN LAHIR RENDAH KURANG BULAN DI RS. DR. KARIADI SEMARANG

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    Background: Preterm Low Birth Weight (PLBW) is a public health problem both in developed and developing countries. PLBW can caused by infection, premature rupture membrane, toxic agent (tobacco, alcohol, drugs use), maternal stress, socio-economic status, inadequate prenatal care and some unknown. Gingivitis is infection from oral that considered influenced of fetal growth both via systemic infections (hematogenous) and elevated of inflammatory mediators that caused of preterm low birth weight. Objective: Understanding of gingivitis among pregnant women as a risk factor of preterm low birth weight. Method: This study was an analytic observational study with a cross sectional design. Sample involve delivered women at dr. Kariadi Hospital, Tugurejo Hospital and Semarang City District Hospital, subject ages were between 20 and 30 years, observed three months after delivery. Exclusion criteria were diabetes mellitus, hypertension, heart disease, tobacco use and alcohol us. Data were collected by interview and examine of the gingival index. The data analysis was conducted by SPSS for windows program with Chi square test, and done calculation POR (Prevalence Odds Ratio ) to know relation and how much risk factor. Results: Fifty seven delivered women with 21 PLBW and 36 normal babies. This study showed that gingivitis among pregnant women as a risk factor of preterm low birth weight with Prevalence Odds Ratio (POR) 8,75 (95% CI: 2,56 – 29,94). Conclusion: In this study, gingivitis among pregnant women as a risk factor of preterm low birth weight. Keyword: preterm low birth weight, gingivitis

    Variations on the Author

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    “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

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    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

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    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

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    Ekstraksi Ciri Pada Telapak Tangan Dengan Metode Local Binary Pattern (Lbp)

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    Ekstraksi ciri dapat dilakukan pada objek dalam bentuk citra dengan menggunakan beberapa fitur. Ekstraksi ciri dapat dipadukan dengan ilmu biometrik. Biometrik merupakan karakteristik fisik atau biologi dan tingkah laku yang unik serta terukur. Identifikasi biometrik dapat dimanfaatkan untuk meningkatkan keamanan maupun menghindari penggunaan identitas palsu. Dalam penelitian ini, penulis menggunakan telapak tangan sebagai objek penelitian dikarenakan telapak tangan memiliki fitur unik yang berbeda pada setiap individu. Selain fitur unik, luas permukaan telapak tangan menjadi salah satu pertimbangan penulis dalam menentukan objek penelitian. Luas permukaan telapak tangan lebih besar jika dibandingkan dengan luas permukaan salah satu jari. Salah satu metode yang dapat dimanfaatkan dalam proses identifikasi adalah metode ekstraksi ciri LBP (Local Binary Pattern) yang menerapkan jarak ketetanggaan dan jumlah tetangga yang dibandingkan. Dimulai dengan tahapan Pre-processing atau tahap persiapan citra berwarna yang akan dirubah menjadi citra keabuan kemudian dilanjutkan dengan proses regioning atau proses pembagian citra menjadi beberapa sub-region. Dilanjutkan dengan tahap ekstraksi ciri dengan metode LBP. Pada penelitian ini citra yang digunakan berjumlah 208 citra yang diperoleh dari College of Engineering Pune dengan 26 individu yang masing-masing memiliki 8 citra. Hasil akurasi tertinggi yang diperoleh dari penelitian ini sebesar 92,31% dengan jarak ketetanggaan 2, jumlah tetangga yang dibandingkan = 8, jumlah region = 16 dan jumlah pembagian height = 4 dan width =
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