31 research outputs found

    Earthquakes, cancer and cultures of fear: qualifying as a Skills for Life teacher in an uncertain economic climate

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    The Skills for Life (SfL) initiative followed the Moser Report (1999) and incarnated a Third Way agenda that sought to address England's perceived adult skills deficit. SfL marked a large investment in adult education but also a distinct shift to a more focused, instrumentalist role for Further Education (FE) in England. A new structure of teacher standards and qualifications underpinned this development with its own, newly devised and matriculated knowledge base. Teachers emerged from these new programmes with subject specialisms in Literacy, Numeracy and English for Speakers of Other Languages (ESOL). The landscape that these ‘new professionals' have entered is one that suggests the autonomy of colleges within a competitive market, but this disguises a funding methodology that facilitates ongoing centralised policy intervention. In the last two years policy makers have used this funding methodology to shift monies decisively towards 14-19 provision and away from adult education. This article draws on qualitative data from a study into the experiences of pre and in-service SfL teachers in the final stages of qualification. The data explore the impact of these latest movements in the FE market on these student teachers who are qualifying in some of the newest subjects in FE

    Neuroimaging-based classification of PTSD using data-driven computational approaches: a multisite big data study from the ENIGMA-PGC PTSD consortium

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    Background: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. Methods: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. Results: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for D-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. Conclusion: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.Stress-related psychiatric disorders across the life spa

    HIV/STI risk-reduction intervention efficacy with South African adolescents over 54 months

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    Little research has tested HIV/sexually transmitted infection (STI) risk-reduction interventions' effects on early adolescents as they age into middle and late adolescence. This study tested whether intervention-induced reductions in unprotected intercourse during a 12-month period endured over a 54-month period and whether the intervention reduced the prevalence of STIs, which increase risk for HIV. Grade 6 learners (mean age = 12.4 years) participated in a 12-month trial in Eastern Cape Province, South Africa, in which 9 matched pairs of schools were randomly selected and within pairs randomized to a theory-based HIV/STI risk-reduction intervention or an attention-control intervention. They completed 42- and 54-month post-intervention measures of unprotected intercourse (the primary outcome), other sexual behaviors, theoretical constructs, and, at 42- and 54-month follow-up only, biologically confirmed curable STIs (chlamydial infection, gonorrhea, and trichomoniasis) and herpes simplex virus 2. Results: The HIV/STI risk-reduction intervention reduced unprotected intercourse averaged over the entire follow-up period, an effect not significantly reduced at 42- and 54-month follow-up compared with 3-, 6-, and 12-month follow-ups. The intervention caused positive changes on theoretical constructs averaged over the 5 follow-ups, although most effects weakened at long-term follow-up. Although the intervention's main effect on STIs was nonsignificant, an Intervention Condition X Time interaction revealed that it significantly reduced curable STIs at 42-month follow-up in adolescents who reported sexual experience. These results suggest that theory-based behavioral interventions with early adolescents can have long-lived effects in the context of a generalized severe HIV epidemic.
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