1,720,955 research outputs found
Delving into the Practices Involved in the Creation and Dissemination of Misinformation
Full text linkThis study investigates the authenticity of news with specific training features validating the same with specific machine-learning techniques. The contents of fake news are created to make credible information that would create mass opinions and provide a strong basis to convince the readers or confuse them utterly. The fake information is usually disseminated using numerous automated algorithms. Therefore, it is very quintessential to identify the sources and authenticity of such information. With recent advancements in information communication technology, there exists a cluster of deep knowledge from which a user intends to retrieve relevant information such as news articles. For data mining and classification tasks such as fake news classification, the approach of machine learning can be employed for effective experimentation. To address the raised issues in this study, a comprehensive and diversified dataset was required that must contain relevant knowledge with sentiment tags such as authentic and fake news. To fulfill the same, a corpus comprising over 44k authentic and fake news items is collected. Moreover, this study emphasizes news classification as fake or authentic using data mining and analytics
A CROSS-SECTIONAL RESEARCH STUDY TO DETERMINE THE PREVALENCE OF BURNOUT IN POSTGRADUATE DOCTORS ACCORDING TO THEIR SPECIALTY, IN SERVICES HOSPITAL, LAHORE
Full text linkAim: The objective of the research was to determine occurrence of burnout among postgraduate doctors as per their specialty.
Introduction: Burnout refers to higher level of emotional exhaustion, reduced personal accomplishment and higher level of depersonalization.
Method: This cross-sectional research was carried out at Services Hospital, Lahore from 09-05-19 to 05-06-19. Through non-probability sampling technique, we short listed two hundred participants. Research utilized Maslach Burnout Inventory. We used SPSS for outcomes analysis.
Results: The outcomes of burnout according as per the doctor’s specialty were as pathology (17.5%), gynecology (30%), surgery (55%), medicine (90%) and others (42.5%).
Conclusions: Various burnout degrees were present in the specialist with higher levels of surgical interventions and medicine; whereas the pathology was at lowest level. Age, gender, time served and working hours of the postgraduates influenced the burnout prevalence. Higher burnout incidence demonstrates the requirement of proper strategies in order to avoid adverse effects on the life quality of the undergraduates and patient care quality.
Keywords: Burnout Syndrome, Postgraduates, Inter-Specialty Variation and Associated Factors
Delving into the Practices Involved in the Creation and Dissemination of Misinformation
Full text linkThis study investigates the authenticity of news with specific training features validating the same with specific machine-learning techniques. The contents of fake news are created to make credible information that would create mass opinions and provide a strong basis to convince the readers or confuse them utterly. The fake information is usually disseminated using numerous automated algorithms. Therefore, it is very quintessential to identify the sources and authenticity of such information. With recent advancements in information communication technology, there exists a cluster of deep knowledge from which a user intends to retrieve relevant information such as news articles. For data mining and classification tasks such as fake news classification, the approach of machine learning can be employed for effective experimentation. To address the raised issues in this study, a comprehensive and diversified dataset was required that must contain relevant knowledge with sentiment tags such as authentic and fake news. To fulfill the same, a corpus comprising over 44k authentic and fake news items is collected. Moreover, this study emphasizes news classification as fake or authentic using data mining and analytics
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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