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Walsh, David J.,Sills, E. Scott,Collins, Gary S.,Hawrylyshyn, Christine A.,Sokol, Piotr,Walsh, Anthony P.H. The Korean Society for Reproductive Medicine 2013 Clinical and Experimental Reproductive Medicine Vol.40 No.4
Objective: To measure Irish opinion on a range of assisted human reproduction (AHR) treatments. Methods: A nationally representative sample of Irish adults (n=1,003) were anonymously sampled by telephone survey. Results: Most participants (77%) agreed that any fertility services offered internationally should also be available in Ireland, although only a small minority of the general Irish population had personal familiarity with AHR or infertility. This sample finds substantial agreement (63%) that the Government of Ireland should introduce legislation covering AHR. The range of support for gamete donation in Ireland ranged from 53% to 83%, depending on how donor privacy and disclosure policies are presented. For example, donation where the donor agrees to be contacted by the child born following donation, and anonymous donation where donor privacy is completely protected by law were supported by 68% and 66%, respectively. The least popular (53%) donor gamete treatment type appeared to be donation where the donor consents to be involved in the future life of any child born as a result of donor fertility treatment. Respondents in social class ABC1 (58%), age 18 to 24 (62%), age 25 to 34 (60%), or without children (61%) were more likely to favour this donor treatment policy in our sample. Conclusion: This is the first nationwide assessment of Irish public opinion on the advanced reproductive technologies since 2005. Access to a wide range of AHR treatment was supported by all subgroups studied. Public opinion concerning specific types of AHR treatment varied, yet general support for the need for national AHR legislation was reported by 63% of this national sample. Contemporary views on AHR remain largely consistent with the Commission for Assisted Human Reproduction recommendations from 2005, although further research is needed to clarify exactly how popular opinion on these issues has changed. It appears that legislation allowing for the full range of donation options (and not mandating disclosure of donor identity at a stipulated age) would better align with current Irish public opinion.
Walsh, Thomas J. 대한의진균학회 1996 대한의진균학회지 Vol.1 No.1
Patients with neoplastic diseases are predisposed to develop invasive fungal infections as the result of impairment of host defense, due principally to pharmacological immunosu-ppression as the resulting from intensive cytotoxic chemotherapy, ablative radiation therapy, and corticosteroids^1. Candida spp., Aspergillus spp., and emerging opportunistic fungal pathogens comprise the principal etiological agents of opportunistic mycoses in cancer patients^2-9. This paper will briefly review the recent progress in management of invasive fungal infections and the current problems of invasive mycosis, which currently confront patients with neoplastic diseases.
Walsh-Messinger, Julie,Jiang, Haoran,Lee, Hyejoo,Rothman, Karen,Ahn, Hongshik,Malaspina, Dolores Elsevier/North Holland Biomedical Press 2019 Psychiatry Research Vol. No.
<P><B>Abstract</B></P> <P>This study used machine-learning algorithms to make unbiased estimates of the relative importance of various multilevel data for classifying cases with schizophrenia (<I>n</I> = 60), schizoaffective disorder (<I>n</I> = 19), bipolar disorder (<I>n</I> = 20), unipolar depression (<I>n</I> = 14), and healthy controls (<I>n</I> = 51) into psychiatric diagnostic categories. The Random Forest machine learning algorithm, which showed best efficacy (92.9% SD: 0.06), was used to generate variable importance ranking of positive, negative, and general psychopathology symptoms, cognitive indexes, global assessment of function (GAF), and parental ages at birth for sorting participants into diagnostic categories. Symptoms were ranked most influential for separating cases from healthy controls, followed by cognition and maternal age. To separate schizophrenia/schizoaffective disorder from bipolar/unipolar depression, GAF was most influential, followed by cognition and paternal age. For classifying schizophrenia from all other psychiatric disorders, low GAF and paternal age were similarly important, followed by cognition, psychopathology and maternal age. Controls misclassified as schizophrenia cases showed lower nonverbal abilities, mild negative and general psychopathology symptoms, and younger maternal or older paternal age. The importance of symptoms for classification of cases and lower GAF for diagnosing schizophrenia, notably more important and distinct from cognition and symptoms, concurs with current practices. The high importance of parental ages is noteworthy and merits further study.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Machine-learning algorithms estimated importance of multilevel data for diagnostic classification. </LI> <LI> Symptoms were most influential for differentiating psychiatric cases from healthy controls. </LI> <LI> Function was most important for separating the schizophrenias from affective disorder cases. </LI> <LI> Function and paternal age were equally important for separating schizophrenia from all other cases. </LI> <LI> Misclassified controls had mild symptoms, lower cognition, and/or younger mothers/older fathers. </LI> </UL> </P>