1,720,959 research outputs found
An unusual unplanned complex suicide by arm cutting, poisoning, and self-immolation
Different methods of suicide, when combined with contamination of the scene, increase the difficulty of interpreting the dynamics of an event. In the presented case, the discovery of a corpse with widespread burns, singed hair, an “X”-shaped cut on the arm with a weapon distant from the body, and the death scene significantly altered by subjects with psychiatric disorders raised the hypothesis of murder in the initial phase. However, the integration of the death scene investigation with medicolegal, toxicological, and radiological analyses allowed for the identification of an unusual unplanned complex suicide by arm cutting, poisoning, and self-immolation
The difficult role of Artificial Intelligence in Medical Liability: To err is not only human
The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has encouraged important legal and ethical considerations among the experts. On the one hand, there is the request to establish a new and dedicated legal background involving AI and AI-related technologies, while others believe there is no need to add new laws in the attempt to define AI's role in healthcare. The aim of this paper is to analyse the possible role of AI in civil liability in healthcare practice, underlining its limits of autonomy in a field where the attribution of liability cannot be uncertain
Coronavirus lockdown: Excessive alcohol consumption and illicit substance use in DUI subjects
Objective: This study investigates the consequences of the SarS-CoV-2 outbreak and of the resulting control measures on alcohol and illicit substance use in a high-risk population for substance-related disorders, utilizing an integrated medico-legal and toxicological approach. Methods: The research was structured as a retrospective case-control study of subjects found to be driving under the influence (DUI) of alcohol and/or other psychoactive substances who were examined for driver’s license regranting. Alcohol and/or drug use was assessed by comparing cases examined in the period from May to August 2020 (immediately after the lockdown in Italy) to control subjects examined in the same period in 2019. DUI subjects were examined by an integrated approach, descriptive analyses were conducted, and significance was determined by chi-square and Mann-Whitney tests. Variables linked to the pandemic outbreak and resulting lockdown were investigated as predictive factors in determining unfitness to drive. Results: Cases (281) were significantly different from controls (261) concerning the judgment of unfitness to drive (p<.001) and had more subjects with chronic excessive alcohol use and/or illicit substance use. The two groups were rather homogeneous concerning the other variables, except for a difference in blood alcohol concentration (BAC) at the time of DUI (p =.027). No statistical association was found between the investigated variables linked to the lockdown and the judgment of unfitness to drive. Conclusions: Chronic excessive alcohol consumption and illicit substance use were more frequently observed in cases, which suggests a possible correlation between the pandemic/lockdown restrictions and an increase in psychoactive substance misuse. While these potentially correlative factors are discussed in this article, they require further study. If confirmed, the results should be considered in forensic and clinical settings
Il controllo di gestione nel sistema dei controlli interni. Spessore ontologico e centralità del ruolo, in un approccio performance–oriented
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
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