159 research outputs found

    Kedudukan Anak Akibat Batalnya Perkawinan Karena Hubungan Darah Menurut Hukum Positif

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    Penelitian ini dilakukan dengan tujuan untuk mengetahui bagaimana pengaturan hukum tentang Pembatalan Perkawinan karena hubungan darah menurut Hukum Positif Di Indonesia dan bagaimana kedudukan hukum anak yang lahir setelah pembatalan perkawinan menurut Hukum Positif di Indonesia. Dengan menggunakan metode penelitian yuridis normatif, maka dapat disimpulkan: 1. Pengaturan hukum mengenai pembatalan perkawinan di Indonesia masih beragam walaupun Undang-Undang perkawinan yaitu Undang-Undang Nomor 1 Tahun 1974 seringkali disebut unifikasi hukum perkawinan. Pembatalan perkawinan merupakan putusnya perkawinan disebabkan persyaratan perkawinan yang diatur dalam undang-undang dan larangan perkawinan tidak dipenuhi. 2. Status hukum anak yang lahir dalam perkawinan yang telah batal pada dasarnya merupakan anak yang sah sebagaimana diatur dalam Undang-Undang Nomor 1 Tahun 1974 dalam Pasal 28. Berdasarkan Putusan Mahkamah Konstitusi Nomor 46/PUU-VIII/2010 Tentang Pengujian pasal 2 ayat 2 dan pasal 43 ayat 1 Undang-Undang Perkawinan yaitu Undang-Undang Nomor 1 Tahun 1974 yang menyatakan bahwa pasal 43 ayat Undang-Undang Nomor 1 Tahun 1974 melanggar Undang-Undang Dasar Republik Indonesia pasal 28 B ayat 1 dan 2 dan pasal 28 D ayat 1

    The Relationship of Changes in Citable Items Between 2001 and 2008 to Changes in Eigenfactor Score and Impact Factor Between 2001 and 2008.

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    <p>R<sup>2</sup>β€Š=β€Š0.1957; pβ€Š=β€Š0.0099 for the relationship between changes in citable items and changes in Eigenfactor score and R<sup>2</sup>β€Š=β€Š0.1216; pβ€Š=β€Š0.0505* for the relationship between changes in citable items and changes in the impact factor. *The <i>New England Journal of Medicine</i> was excluded from the regression analysis, as it was an extreme outlier.</p

    Temporal Trends in Eigenfactor Score of Common Medical Journals Between 2001 and 2008.

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    Β§<p>n/a β€Š=β€Š not available.</p><p>Significant increase over time denoted by (↑), while significant decrease is denoted (↓).</p

    Temporal Trends in Article Influence Scores of Common Medical Journals Between 2001 and 2008.

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    Β§<p>n/a β€Š=β€Š not available.</p><p>Significant increase over time denoted by (↑), while significant decrease is denoted (↓).</p

    Temporal Trends in Citable Items of Common Medical Journals Between 2001 and 2008.

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    Β§<p>n/a β€Š=β€Š not available.</p><p>Significant increase over time denoted by (↑), while significant decrease is denoted (↓).</p

    The Relationship Between Impact Factor (IF) and Eigenvalue Score (ES) In 2008.

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    <p>The area of the circles is proportional to the number of citable items published in 2008. The area of the dotted line is expanded in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010204#pone-0010204-g001" target="_blank">figure 1B</a>. R<sup>2</sup>β€Š=β€Š0.5721; p<0.0001.</p

    Selected publications from the review with Biomarker ROC analysis performance.

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    <p>Selected publications from the review with Biomarker ROC analysis performance.</p

    A Systematic Review of Diagnostic Biomarkers of COPD Exacerbation

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    <div><p>The aims of this systematic review were to determine which blood-based molecules have been evaluated as possible biomarkers to diagnose chronic obstructive pulmonary disease (COPD) exacerbations (AECOPD) and to ascertain the quality of these biomarker publications. Patients of interest were those that have been diagnosed with COPD. MEDLINE, EMBASE, and CINAHL databases were searched systematically through February 2015 for publications relating to AECOPD diagnostic biomarkers. We used a modified guideline for the REporting of tumor MARKer Studies (mREMARK) to assess study quality. Additional components of quality included the reporting of findings in a replication cohort and the use of receiver-operating characteristics area-under-the curve statistics in evaluating performance. 59 studies were included, in which the most studied biomarkers were C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-Ξ±). CRP showed consistent elevations in AECOPD compared to control subjects, while IL-6 and TNF-Ξ± had variable statistical significance and results. mREMARK scores ranged from 6 to 18 (median score of 13). 12 articles reported ROC analyses and only one study employed a replication cohort to confirm biomarker performance. Studies of AECOPD diagnostic biomarkers remain inconsistent in their reporting, with few studies employing ROC analyses and even fewer demonstrating replication in independent cohorts.</p></div

    PRISMA flow diagram of study screening and selection.

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    <p>PRISMA flow diagram used in study selection and screening. 59 studies were included for review whereas the rest of the studies were excluded.</p
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