1,721,363 research outputs found
sj-docx-1-joh-10.1177_27551938241230761 - Supplemental material for An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India
No full textSupplemental material, sj-docx-1-joh-10.1177_27551938241230761 for An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India by Aashima and Rajesh Sharma in International Journal of Social Determinants of Health and Health Services</p
sj-docx-1-wem-10.1177_10806032241226691 - Supplemental material for Pilot Training Program on Hands-Only CPR and Choking First Aid for Frontline Police Responders in Rural Nepal
No full textSupplemental material, sj-docx-1-wem-10.1177_10806032241226691 for Pilot Training Program on Hands-Only CPR and Choking First Aid for Frontline Police Responders in Rural Nepal by Ghan B. Thapa, MD, Roshan Sapkota, BS, Anjana Thapa, BPH, Rajesh Sharma, MBBS, Derek Lubetkin, MD, Camille Lubetkin, MPH, Samuel Nesemann, MD, and Ramu Kharel, MD, MPH in Wilderness & Environmental Medicine</p
An attempt to understand the encoding of reduced transitivity in Hindi: the case of compound verbs with jānā
No full textSince the 1960s much attention has been paid to the categorization and development of the so-called New Indo-Aryan ‘compound verbs’. As a conse-quence, we possess numerous investigations on this topic of linguistic research. However, although there are many analysis devoted to the semantic contrast of the compound as opposed to the simple verb, it is rather surprising that no sig-nificant research has been conducted to investigate the semantic contrast be-tween the use of different vector verbs with the same polar verb. The main aim of the paper is to understand the factors involved in this choice, in particular if these factors are semantic or pragmatic. The analysis is a synchronic one, grounded in a corpus-based research starting from data taken from present-day original Hindi sources and focused on the two Hindi polar transitive verbs khānā ‘to eat’ and pīnā ‘to drink’ compounded with the vector intransitive one jānā ‘to go’
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
Detecting Corruption in Public Procurement Through Open Data Analysis
Full text linkMagistritöö eesmärgiks oli uurida, kas ainult andmeanalüüsile tuginedes on võimalik ennustada korruptsiooni võimalikkust Eesti riigihangetes ning tulenevalt eelnevast teha riigile soovitusi, kuidas parandada korruptsiooni tuvastamise võimalusi. Seatud eesmärgi saavutamiseks andis autor muuhulgas ülevaate korruptsioonist ja korruptsioonist riigihangetest ning nende vastu võitlemise strateegiast ja olulisematest viimastel aastatel toimunud arengutest maailmas. Kõrgele korruptsiooniriskile on viidanud nii üleeuroopalised uuringud kui ka meedia. Olemasolevatele andmetele tuginedes tegi autor masinõppe algoritmi, mis hindab korruptsiooni võimalikust riigihangetes Eestis.Rakenduse automatiseeritud lähenemise ja andmete analüüsi tulemusena jõudis autor tulemusteni, mis näitavad, et antud andmetele tuginedes on võimalik hinnata korruptsiooni tõenäosust Eesti riigihangetes. Eelneva põhjal saab seega öelda, et andmeanalüüsi kasutades on võimalik muuta korruptsiooni tuvastamine konkreetsemaks, lihtsamaks ja efektiivsemaks. Lähtudes teooriast ja tehtud praktilisest tööst, esitas autor enda poolsed soovitused riigile, milliste andmete kasutamisel ja analüüsil oleks võimalik korruptsiooniriski täpsemini ennustada ja seeläbi korruptsiooniriski maandada.Corruption is present in all aspects of the society and it hinders the progress of various sectors of the economy. In this context, corruption is defined as the act of dishonesty for personal gain by those in power. One of the biggest sectors it influences is public procurement. Previous research has shown that corruption is present in public procurement and it reduces the transparency of the process. Taking into account the monetary value of the public procurement sector, it is clear that this is a problem that must be addressed. Various studies have used qualitative analysis to root out the core of the issue, but as it still thrives, it essential that more accurate and acute measures are used. In order to tackle this problem, there have also been studies that try to quantify the likelihood of it, rather than only looking at qualitative research and this is where data analytics comes into play – the core of this study. This thesis aims to determine whether using open data resources and data analytics it is possible to classify corruption in the public procurement processes and therefore suggest a suitable set of data to make the detection of corruption easier and quicker. Building on existing work on corruption, it asks: what data could be analysed in classifying corruption and what methods could be used? Based on a review of the literature on corruption and theories of machine learning, data analytics was used to assess possible corruption in public procurement in Estonia. In the data analytical process the author used machine learning approaches that predict the classification of procurement as corrupt or non-corrupt. The analysis of the results demonstrated that based on available data it is possible to predict corruption in public procurement in Estonia. Furthermore, the results also indicate that some features have a bigger impact on corruption in public procurement. Taking into account the background, related work and the current results, the author suggests that data analytics is vital in the fight against corruption and using machine learning can yield in good results in predicting corruption. Further research is needed to identify other factors that could strengthen the effectiveness of these approaches
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
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