1,720,976 research outputs found
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
Adversarial learning for beamforming domain transfer in ultrasound medical imaging
Beamforming, the process of reconstructing B-mode images from raw radiofrequency (RF) data, significantly
influences ultrasound image quality. While advanced beamforming methods aim to enhance the traditional Delay
and Sum (DAS) technique, they require access to raw RF data, which is often unavailable to researchers when
using clinical ultrasound scanners. Given that Filtered Delay Multiply and Sum (F-DMAS) is known to provide
superior image quality compared to conventional DAS, this study introduces the idea of employing generative
adversarial networks (GANs) that transform plane wave DAS images into ones resembling those produced by F-
DMAS. We validated the adversarial approach employing three different architectures (traditional Pix2Pix, Py-
ramidal Pix2Pix and CycleGAN) using full-reference metrics: Root Mean Square Error (RMSE) and Peak Signal-to-
Noise Ratio (PSNR). We further propose employing a texture analysis to validate consistency between the
generated images and target images, using 27 first-order and second-order parameters; contrast enhancement
was evaluated using the Contrast Improvement Index (CII), and clinical relevance was determined through expert
qualitative evaluation. The adversarial methods were also compared with traditional image enhancement
methods, such as contrast limited adaptive histogram equalization (CLAHE) and histogram matching. The image
similarity metrics between all methods were comparable, with the Pyramidal Pix2Pix GAN method showing the
best values compared to traditional techniques and other generative models (PSNR = 18.0 ± 0.6 dB, RMSE =
0.126 ± 0.008). The texture features proved to be a clear discriminant between traditional methods and
generative models, with values much closer to the target F-DMAS image for the generative models. All employed
methods showed an improved contrast over original PW DAS images. A clinical evaluation was then employed to
assess the contribution of the generated images compared to the original ones and to distinguish which gener-
ative model provided the best qualitative images. The proposed generative adversarial approach proves to be a
viable option for enhancing B-mode ultrasound images when there is no access to raw RF data and demonstrates
how texture features can be employed to validate deep learning generative model
Cross-cultural adaptation and validation of the Victorian Institute of Sports Assessment for Gluteal Tendinopathy questionnaire in Italian and investigation of the association between tendinopathy-related disability and pain
Background
The Victorian Institute of Sports Assessment for gluteal tendinopathy (VISA-G) questionnaire has recently been proposed as a condition-specific patient reported outcome measurement tool to assess the tendinopathy-related disability.
Aim
The aim was to evaluate the reliability of the Italian version of the VISA-G questionnaire and its construct validity and to investigate the association between tendinopathy-related disability and pain.
Design
It consists in a cross-sectional study.
Setting
The location of the study was a university laboratory.
Population
We evaluated patients with gluteal tendinopathy (N.=38) and healthy controls (N.=38).
Methods
Subjects were asked to fill the VISA-G questionnaire twice to evaluate its reliability. The construct validity was evaluated by comparing the VISA score with the Oswestry Disability Index score. Moreover, pain intensity, extent and location were also investigated.
Results
The VISA-G scores showed non-significant changes in the median values and the values of intraclass correlation coefficient showed very high correlation between the first and second administration (ICC>0.90 in both populations). No significant correlations were found between VISA-G score and either pain extent (R=-0.05, P=0.76), or resting pain intensity (R=-0.13, P=0.45), or palpation pain intensity (R= 0.01, P=0.97). Conversely, a high (and significant) negative correlation was obtained between VISA-G score and Oswestry Disability Index score (R=-0.80, P<0.0001).
Conclusions
These results indicated that the VISA-G Italian version presents excellent test-retest reliability.
Clinical rehabilitation impact
The evaluation of gluteal tendinopathy-related disability through VISA-G can be useful for the prognostic assessment and/or follow-up of tendinopathy patients in combination with the pain drawing assessment of pain extent
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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