Výsledky vyhledávání - "Michael Arribas-Ayllon"

Can Genomics Remove Uncertainty from Adoption? Social Workers’ and Medical Advisors’ Accounts of Genetic Testing

Autor: Katherine Helen Shelton, Michael Arribas-Ayllon, Angus John Clarke

Publikováno v: The British Journal of Social Work. 52:719-737

Genetic testing is controversial in adoption with professionals taking different positions on whether children should be protected from genetic information or whether it can be used to assist adoption. In this article, we argue that advances in ‘ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6082ba9fbc688ba36c7389964092485f
https://doi.org/10.1093/bjsw/bcab017

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Co-creating a knowledge base in the '22q11.2 deletion syndrome' community

Autor: Marianne Bernadette van den Bree, Andrew Cuthbert, Michael Arribas Ayllon, Rose Thompson, Aimee Challenger, Roberta Rizzo, Angus John Clarke

Publikováno v: Journal of Community Genetics

22q11.2 DS is characterised by its variability, rarity and variety of features ranging from congenital heart conditions to psychiatric and behavioural issues. As a result, health information–seeking behaviour is different from other more common con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::713ce247cba8e7689da93e6c7bc3f592
https://doi.org/10.1007/s12687-019-00425-8

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Narrative Analysis: DNA Testing and Collaborative Knowledge-Building in a CFS/ME Forum

Autor: Michael Arribas-Ayllon

Publikováno v: Analysing Health Communication ISBN: 9783030681838

In the human and social sciences, the study of narrative has occupied a central place in understanding health and illness. Indeed, narrative has become something of a privileged medium for accessing the subjective experience of illness as ‘sickness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f579a8245f7c44888592b551eca1e1a
https://doi.org/10.1007/978-3-030-68184-5_4

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Comparing the utility of different classification schemes for emotive language analysis

Autor: Lowri Williams, Irena Spasic, Andreas Artemiou, Michael Arribas-Ayllon

In this paper we investigated the utility of different classification schemes for emotive language analysis with the aim of providing experimental justification for the choice of scheme for classifying emotions in free text. We compared six schemes:

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82f4192b0df3d4439b4e4b26ddfd7b9c
https://orca.cardiff.ac.uk/id/eprint/118835/13/Williams2019_Article_ComparingTheUtilityOfDifferent.pdf

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