1,721,243 research outputs found
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
Bioinformatics to Guide Musculoskeletal Modeling: A Retrospective Study from Olympic Water Polo Athletes
Full text linkGNYACSM Original Research Abstract
Bioinformatics to Guide Musculoskeletal Modeling: A Retrospective Study from Olympic Water Polo Athletes
DEL VECCHIO TONY, WHITNEY HAYLEY, GABBETT TIM
Seshadri Lab; Bioengineering; Lehigh University; Bethlehem, PA
Category: Masters
Advisor / Mentor: Seshadri, Dhruv [email protected]
ABSTRACT
There is a pressing need for effective injury prevention methods to mitigate time-loss injuries. This study aims to develop a robust injury risk assessment model for water polo athletes by assessing the interplay between load-response metrics, and leveraging artificial intelligence to forecast wellness based on prior assessments.
PURPOSE
Water polo athletes present with upper extremity injuries in the hip, knee, and elbow due to the physical demands of the constant treading of water coupled with the overhead throwing motions required to compete. There lacks longitudinal data to ascertain workload injury relationships in water polo. This study addressed this shortcoming by studying load-response relationships on Olympic water polo athletes during training and performance over a two-year period.
METHODS
Load response variables, such as energy, sleep duration, and acute to chronic workload ratio (ACWR) were studied on thirteen female Australian Olympic water polo athletes from 2019-2021 spanning 17,000 data points. Tests such as Shapiro and ANOVA tests were used to correlate workload and wellbeing profiles to injury risk. The training load and wellbeing metrics were compared for the least and most injured athletes (p \u3c 0.05 deemed statistically significant). Principal component analysis (PCA) clustering was used to identify a linear combination of variables that captures their interrelationships, optimizing data representation through dimensionality reduction, creating optimized variables. RESULTS
The most injured athlete tended to exhibit higher average ACWR values (1.15 + 0.4) compared to uninjured counterparts (1.13 + 0.4), (p = 0.874). Injured athletes had wellness metrics that were 10% higher compared to uninjured athletes. The most injured athlete reported slightly higher average energy, (1.14 ± 0.6), when compared with the least injured athlete, (1.14 ± 0.6). The PCA model accounted for 91% of variance in the data. CONCLUSION
Self-reported wellbeing metrics alone may not suffice for comprehensive athlete wellness assessment. The integration of wearable technology with subjective assessments would provide both objective and subjective data to augment the predictive power of such models thereby enabling the development of athlete-specific training and rehabilitation protocols
The training-performance puzzle : how can the past inform future training directions?
Full text linkOver the past 20 years, research on the training-load-injury relationship has grown exponentially. With the benefit of more data, our understanding of the training-performance puzzle has improved. What were we thinking 20 years ago, and how has our thinking changed over time? Although early investigators attributed overuse injuries to excessive training loads, it has become clear that rapid spikes in training load, above what an athlete is accustomed, explain (at least in part) a large proportion of injuries. In this respect, it appears that overuse injuries may arise from athletes being underprepared for the load they are about to perform. However, a question of interest to both athletic trainers (ATs) and researchers is why some athletes sustain injury at low training loads, while others can tolerate much greater training loads? A higher chronic training load and well-developed aerobic fitness and lower body strength appear to moderate the training-injury relationship and provide a protective effect against spikes in load. The training-performance puzzle is complex and dynamic-at any given time, multiple inputs to injury and performance exist. The challenge facing researchers is obtaining large enough longitudinal data sets to capture the time-varying nature of physiological and musculoskeletal capacities and training-load data to adequately inform injury-prevention efforts. The training-performance puzzle can be solved, but it will take collaboration between researchers and clinicians as well as an understanding that efficacy (ie, how training load affects performance and injury in an idealized or controlled setting) does not equate to effectiveness (ie, how training load affects performance and injury in the real-world setting, where many variables cannot be controlled). © by the National Athletic Trainers' Association, Inc www.natajournals.or
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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