Displaying all 2 publications

Abstract:
Sort:
  1. One world is not enough: the structured phenomenology of lifestyle migrants in East Asia
    Stones R, Botterill K, Lee M, O'Reilly K
    Br J Sociol, 2019 Jan;70(1):44-69.
    PMID: 29479667 DOI: 10.1111/1468-4446.12357
    The paper is based on original empirical research into the lifestyle migration of European migrants, primarily British, to Thailand and Malaysia, and of Hong Kong Chinese migrants to Mainland China. We combine strong structuration theory (SST) with Heideggerian phenomenology to develop a distinctive approach to the interplay between social structures and the lived experience of migrants. The approach enables a rich engagement with the subjectivities of migrants, an engagement that is powerfully enhanced by close attention to how these inner lives are deeply interwoven with relevant structural contexts. The approach is presented as one that could be fruitfully adopted to explore parallel issues within all types of migration. As is intrinsic to lifestyle migration, commitment to a better quality of life is central to the East Asian migrants, but they seek an uncomplicated, physically enhanced texture of life, framed more by a phenomenology of prosaic well-being than of self-realization or transcendence. In spite of possessing economic and status privileges due to their relatively elite position within global structures the reality for a good number of the lifestyle migrants falls short of their prior expectations. They are subject to particular kinds of socio-structural marginaliszation as a consequence of the character of their migration, and they find themselves relatively isolated and facing a distinct range of challenges. A comparison with research into various groups of migrants to the USA brings into relief the specificities of the socio-structural positioning of the lifestyle migrants of the study. Those East Asian migrants who express the greatest sense of ease and contentment seem to be those who have responded creatively to the specific challenges of their socio-structural situation. Often, this appears to have been achieved through understated but active involvements with their new settings and through sustaining focused transnational connections and relationships.
  2. Fulltext An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos
    Diakiw SM, Hall JMM, VerMilyea M, Lim AYX, Quangkananurug W, Chanchamroen S, et al.
    Reprod Biomed Online, 2022 Dec;45(6):1105-1117.
    PMID: 36117079 DOI: 10.1016/j.rbmo.2022.07.018
    RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics of an artificial intelligence model for evaluating the likelihood of clinical pregnancy based on analysis of day-5 blastocyst-stage embryos, such that performance evaluation more closely reflects clinical use in IVF procedures, and correlations with known features of embryo quality are identified?

    DESIGN: De-identified images were provided retrospectively or collected prospectively by IVF clinics using the artificial intelligence model in clinical practice. A total of 9359 images were provided by 18 IVF clinics across six countries, from 4709 women who underwent IVF between 2011 and 2021. Main outcome measures included clinical pregnancy outcome (fetal heartbeat at first ultrasound scan), embryo morphology score, and/or pre-implantation genetic testing for aneuploidy (PGT-A) results.

    RESULTS: A positive linear correlation of artificial intelligence scores with pregnancy outcomes was found, and up to a 12.2% reduction in time to pregnancy (TTP) was observed when comparing the artificial intelligence model with standard morphological grading methods using a novel simulated cohort ranking method. Artificial intelligence scores were significantly correlated with known morphological features of embryo quality based on the Gardner score, and with previously unknown morphological features associated with embryo ploidy status, including chromosomal abnormalities indicative of severity when considering embryos for transfer during IVF.

    CONCLUSION: Improved methods for evaluating artificial intelligence for embryo selection were developed, and advantages of the artificial intelligence model over current grading approaches were highlighted, strongly supporting the use of the artificial intelligence model in a clinical setting.

Related Terms
    Try searching for something
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links