1,721,222 research outputs found
Construction of a Computational Framework to Automatically Interpret Chest X-rays and Diagnose Pneumonia
No full textThis study aimed to systematically diagnose pneumonia directly from paediatric chest X-ray images using a computational framework. The project research goals were 1) to establish a high-quality dataset of pneumonia labelled X-ray images, 2) to extend existing deep learning architectures for pneumonia diagnoses, and 3) to construct a computational pipeline, enabling members of the broader community to interface with the computational models to diagnose pneumonia from X-ray images. The paediatric chest x-ray images were derived from 1) a WHO-supported surveillance study at Dhaka Shishu Hospital (DSH), from 2) a community site at Kumudini Women’s Medical College (KWMCH), and from 3) the WHO Chest Radiography in Epidemiological Studies (WHO CRES) working group. The images were interpreted by at least two trained clinicians / radiologists for the presence of 1) primary end-point pneumonia (PEP), 2) other lung infiltrates, and/or 3) pleural fluid in either the left or right lung, for a total of six possible binary outcomes, which will henceforth be called “labels”. A third reader resolved discordant PEP labels found between the first and second readers. An X-ray image were included in this study if 1) the age of the child for whom the X-ray was performed was ≤59 months, 2) the X-ray was performed in one of the two study hospitals or from the WHO CRES reference image set, and 3) the image captured the lung area. Any Image that was marked “uninterpretable” (features of the images were not interpretable with respect to presence or absence of PEP) by two readers were excluded. The deposited datasets contain the resulting labels from the multiple readers for each dataset described above.Saha, Samir. (2021). Construction of a Computational Framework to Automatically Interpret Chest X-rays and Diagnose Pneumonia, 2013-2021 [dataset]. The University of Edinburgh. Usher Institute. NIHR Global Health Research Unit on Respiratory Health (RESPIRE). https://doi.org/10.7488/ds/3258
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
Assessing the feasibility and effectiveness of introducing pulse oximetry in IMCI services to manage acute respiratory infections at first level health facilities in Bangladesh
No full textObservation: This dataset contains data on observation of the use of pulse oximetry by IMCI service providers (government) by study nurses/paramedics to assess pulse oximeter use outcome and timing. This data was collected in two rounds. The same IMCI service providers took part in both rounds of data collection. Reassessment: This dataset contains data on the reassessment of the SpO2 status by study nurses/paramedics to assess the validity of SpO2 assessment in routine practice. It also includes the assessment of the children according to IMCI guidelines. This data was collected in two rounds. Exit interview: This dataset contains data on interviews of the caretakers of the sick children visiting IMCI corners to understand the community acceptance. This data was collected in two rounds. Phone follow-up: This dataset contains data on phone follow-up of the study participants visiting IMCI corners to assess their status on hospitalization, the occurrence of danger signs, and mortality. The follow-up was conducted on the 2nd and 14th days of visiting IMCI corners. This data was collected in two rounds. Register data extraction: This dataset contains data extracted from the IMCI registers for children aged 2-59 months during the six months of data collection period of both rounds. Knowledge assessment: This dataset contains data on knowledge assessment scores of the IMCI service providers participating in the study on hypoxaemia and the use of pulse oximetry. This knowledge assessment was conducted during the pretest and post-test of the IMCI training and also during the first and second rounds of data collection. IMCI corner monitoring assessment: This dataset contains data on IMCI service availability and readiness of IMCI corners of the demonstration facilities including availability of functioning pulse oximeters. This data was collected twice from the same facility: 1) at baseline (before the start of field implementation), and 2) at round 2. Challenges of using pulse oximetry: This dataset contains data on challenges faced by IMCI service providers participating in this study on using pulse oximetry using a Likert scale. This data was collected at the end of round 2 of data collection. We don't have a data codebook. However, for a better understanding of the variables, we have attached the questionnaire that corresponds to this dataset.Arifeen, Shams El. (2021). Assessing the feasibility and effectiveness of introducing pulse oximetry in IMCI services to manage acute respiratory infections at first level health facilities in Bangladesh, [dataset]. The University of Edinburgh. Usher Institute. NIHR Global Health Research Unit on Respiratory Health (RESPIRE). https://doi.org/10.7488/ds/3253
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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