1,721,121 research outputs found
Sequence-based GWAS using thousands Sardinian genomes: an application to quantitative traits
Full text linkIn the last ten years, genome-wide association studies (GWAS) have been extensively used to dissect the genetic architecture of complex quantitative traits.Despite these findings, much of the genetic contribution to complex traits remains largely unexplained, even in diseases for which large GWAS meta-analyses have been undertaken.It is plausible that, using whole genome sequencing data and enlarging the spectrum of variants, these could explain additional disease risk or trait variability.Here I present how two different applications of sequence-based GWAS improve the current knowledge of genetic variation associated to important human traits. In particular, I show how whole-genome sequencing integrated with genotyping arrays by statistical inference led to the identification of novel common, low frequency and rare variants associated with levels of five inflammatory biomarkers and with two parameters related to thyroid function.This work highlights not only advantages but also current pitfalls of the sequence-based GWAS approach, such as the statistical methods utilized and the difficulty in replication of the association results and in estimation of variance explained.Nevertheless, sequence-based GWAS will enlarge our current knowledge of genes associated to complex traits, highlight novel biological pathways and elucidate underlying mechanisms, suggesting critical points and issues to be considered in further developments and improvements of existing statistical methods
An Initial Investigation of Mental Well-being Monitoring through Personal Healthcare Devices
Full text linkSmart sensory devices, such as smart watches, scales, and blood pressure gauges, are increasingly adopted by individuals aiming to improve their health and fitness. Those devices gather extensive data about cardiovascular parameters, physical activities, sleep quality, and behavior. Thanks to data analytics and artificial intelligence algorithms, they provide insights into the health status of individuals. Derived data is used to support self-care interventions and to provide practitioners with additional health information acquired on a continuous basis. However, most of the current solutions focus on the physical dimension of health, while the mental dimension is often neglected. In this paper, we present the initial investigation of a system to recognize a wide range of psychological parameters, including behavioral inhibition/activation, anxiety, and stress, leveraging data acquired from personal healthcare devices. We experimented with the application of different supervised learning algorithms on features extracted from heart, sleep, and inertial sensor data acquired from a cohort of 21 individuals over 24 hours each. Our preliminary findings suggest that our method may yield promising outcomes in recognizing different aspects of mental well-being. However, due to the limited size of the used dataset, a more comprehensive experimental evaluation, with a broader number of participants and carried out over an extended monitoring period, is imperative to substantiate the results
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
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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