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Pilot validation of the Tuberous Sclerosis Associated Neuropsychiatric Disorders (TAND) checklist as a screening tool for neuropsychiatric manifestations
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Identification of natural TSC-Associated Neuropsychiatric Disorders (TAND) clusters
Get PDFTuberous Sclerosis Complex (TSC) is associated with many learning, behavioural, neurodevelopmental and psychiatric difficulties. Over 90% of individuals with TSC will have some of these concerns yet no more than 20% receive support and treatment, even though these issues may cause the greatest burden of disease in TSC. The Neuropsychiatry Panel at the 2012 TSC Consensus Conference coined the term TAND (TSC-Associated Neuropsychiatric Disorders) to capture the multidimensional concerns seen in TSC, and recommended that each person with TSC should be screened for TAND every year. To facilitate the process, a TAND Checklist was designed. Many professionals and families feel overwhelmed by the complexity of TAND and say that they do not know where to start and how to access relevant information, tips or 'next step' approaches. This may in part be due to the multi-dimensionality of TAND, and in part due to lack of access to clear, useful and evidence-based resources for TAND. This project aimed to address the complexity of TAND. The hypothesis was that, even though each individual will typically have their own unique TAND profile, there will be key natural TAND Clusters - combinations of behaviours across multi-dimensional levels - that will simplify further evaluations and treatment. The study was performed over 36 months, in two phases using a mixed-methods approach. Phase I was a pilot phase. TAND Checklist data were collected from 56 individuals with TSC in South Africa (n=20) and in Australia (n= 36). Using R, these data were explored with various multivariate data analysis techniques to identify suitable analysis methods for the identification of potential natural TAND clusters. WARD's cluster analysis method rendered six TAND clusters with good face validity, and convergence with a six-factor exploratory factor analysis solution. Pilot results suggested that a combination of cluster analysis and exploratory factor analysis methods may be able to identify clinically-meaningful natural TAND clusters. Phase II set out to replicate and expand on pilot results. TAND checklist data were collected from n=453 across six international TSC sites, and the multivariate analysis techniques identified in phase I were applied. WARD's method rendered seven natural TAND clusters with good clinical face validity. This data-driven strategy identified a 'Scholastic' cluster of TAND manifestations, a 'Neuropsychological' cluster, a 'Mood/Anxiety' cluster, an 'ASD-like' cluster, a 'Behaviours that Challenge' cluster, a 'Hyperactive/Impulsive' cluster, and an 'Eating/Sleeping' cluster. Results showed significant convergence with an exploratory factor analysis solution. The larger-scale study findings were remarkably consistent with pilot findings, supporting the robustness of these naturally occurring clusters. We propose that the seven natural TAND clusters identified can in future be used to generate clinical toolkits for use in real-life setting. In addition, findings suggest that the aetiology and molecular treatments of TAND may also show differential clustering across human and animal models, pointing towards novel hypotheses regarding neuropsychiatric phenomena in TSC to be explored in future studies
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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