1,720,954 research outputs found
The impact of delayed disease treatment on inmates' right to life and health: A comparative study of correctional healthcare systems
Background: Correctional institutions are responsible for ensuring inmates’ right to life and health. However, many prisons prioritize curative healthcare over preventive measures, leading to severe health risks. This study examines the case of inmate AM’s death at Blitar Prison, which resulted from delayed medical intervention. The study also compares healthcare practices in different correctional facilities to highlight best practices. Methods: The method used in this research is doctrinal research. Additionally, a comparative analysis is performed by evaluating healthcare standards in other prisons, particularly Class IIB Sampit Prison, which implements daily health check-ups. Findings: The study reveals that Blitar Prison failed to implement adequate preventive healthcare services, which contributed to AM’s death. The lack of health education and routine medical check-ups resulted in delayed treatment, violating inmates' fundamental rights. A comparison with Sampit Prison demonstrates that proactive healthcare policies, including daily medical examinations and in-cell visits, significantly improve inmate health outcomes. Conclusion: To prevent similar cases, correctional institutions must enhance preventive healthcare services through regular medical screenings and health education for inmates. Additionally, the Directorate General of Corrections must establish a revised Basic Healthcare Service Standard for prisons in accordance with Law No. 22 of 2022. Novelty/Originality of this article: This study provides a critical evaluation of prison healthcare policies and emphasizes the shift from a curative approach to a preventive one. By highlighting best practices, the research contributes to policy recommendations that can improve healthcare in correctional institutions
Antara Tuntutan dan Kesepakatan: BLBI dan Era Deferred Prosecution Agreement
This article discusses the settlement of criminal cases through Deferred Prosecution Agreement (“DPA”) procedures, particularly in the context of the Bantuan Likuiditas Bank Indonesia (“BLBI”) Case. The purpose of this discussion is to find a mechanism for settling criminal cases that aligns with principles of simple, fast, and cost-effective justice, especially in cases involving corporations. The focus of the article includes two aspects: the impact of using DPA mechanisms in resolving criminal cases and the impact of using DPA mechanisms in improving the efficiency of BLBI case resolution. The method used in this research is a doctrinal study focusing on research regarding rules, principles, and norms related to the settlement of criminal cases, specifically using the DPA mechanism. In the BLBI case, it is known that the case was settled through a non-criminal mechanism using the Master Settlement Acquisition Agreement (“MSAA”). MSAA is an application of the Non-Prosecution Agreement (“NPA”) mechanism because there was no involvement of Prosecutors and Courts in drafting the MSAA. If at that time the government had chosen the DPA mechanism, the settlement of the BLBI case could have been faster. This is because in DPA, Prosecutors can immediately prosecute if the party fails to comply with the terms of the agreement within the specified time. Thus, it would no longer be necessary to involve the criminal justice system process starting from the investigation stage.
Keywords: Deferred Prosecution Agreement (“DPA”), BLBI case, corporations
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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