2,281 research outputs found

    Atypical gaze-following behaviour in infants with congenital heart disease

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    BACKGROUND Neurodevelopmental impairments are the most prevalent non-cardiac long-term sequelae in children with complex congenital heart disease (CHD). Deficits include the social-emotional and social-cognitive domains. Little is known about the predecessors of social-cognitive development in infants with CHD during the first year of life. Gaze-following behaviour can be used to measure early social-cognitive abilities. AIMS To assess gaze-following development in infants with CHD compared to healthy controls. STUDY DESIGN Prospective cohort study. PARTICIPANTS Twenty-three infants who underwent neonatal correction for CHD and 84 healthy controls. OUTCOME MEASURES Gaze-following behaviour was assessed by eye tracking at 6 and 12 months. Difference scores for first fixation, fixation frequency and fixation duration towards the gaze-cued object were calculated across 6 trials and compared between groups at both testing time points while adjusting for known confounders. Linear mixed models were calculated to assess the longitudinal trajectory of gaze-following development while accounting for the nested and dependent data structure. RESULTS At 6 months, no difference in gaze-following behaviour between CHD and healthy controls was found. At 12 months, fixation frequency towards the gaze-cued was lower and looking duration was shorter in CHD compared to controls (p = 0.0077; p = 0.0068). Infants with CHD showed less increase with age in the fixation frequency towards the congruent object (p = 0.041) compared to controls. CONCLUSION During the first year of life, gaze-following development diverges in infants with CHD compared to healthy controls. Further research is needed to investigate the clinical relevance of these findings and the association with later social-cognitive development

    Strengthening of duplex stainless steel processed by equal channel angular pressing (ECAP)

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    This manuscript presents the study of the microstructural evolution, plastic anisotropy, and mechanical behavior of a duplex stainless steel (DSS) processed by the equal channel angular pressing (ECAP) technique. The ECAP process produced shear bands affecting both phases, austenite and ferrite, which in turns act as preferential sites for the appearance of the new ultrafine grains. Microstructural observations indicated grain sizes smaller than 300 nm in both phases. However, marked differences in the grain boundary misorientations were observed. Most ferrite grain boundaries showed low misorientations (average misorientation of 30°). In contrast, the austenite grain boundaries were mainly dominated by high-angle grain boundaries (average misorientation of 39°). The ECAP processing allowed to reach a yield strength over 1.1 GPa after one ECAP pass. Dislocations formed walls in the ferrite, while they were distributed evenly in the austenite grains creating plastic gradients between the two phases. Through the visco-plastic self-consistent model, it was found that austenite and ferrite strain hardening at different rates, generating plastic instabilities at different strain magnitudes. In this way, it was shown that austenite is the phase that provides more hardening while ferrite provides ductility. Regarding the anisotropy of the steel, crystal plasticity simulations showed that during the first passes of ECAP, the Lankford coefficients increase notably due to the heterogeneous microstructure of sheared grains with a higher density of defects forming subgrains in ferrite than austenite. Moreover, the austenite was more responsible for the larger planar anisotropy (¿r = 2.18) values than ferrite (¿r = 1.67) after two ECAP passes.Peer ReviewedPostprint (published version

    Natural variability of geochemical conditions, biogeochemical processes and element fluxes in sediments of the CCZ

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    During RV SONNE cruise SO239 in March/April 2015 five sites in the area of the Clarion-Clipperton Fracture Zone (CCZ) in the eastern equatorial Pacific were visited as part of the JPI Oceans pilot action Ecological Aspects of Deep-Sea Mining“. Here, we present a comparable study on (1) the redox zonation in the sediments induced by the input flux of organic matter, (2) biogeochemical reactions including the driver of organic matter degradation and (3) diagenetic manganese redistribution and implications for manganese nodule formation

    Use of Evidence-Based Practice Among Athletic Training Educators, Clinicians, and Students, Part 2: Attitudes, Beliefs, Accessibility, and Barriers

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    Context: Successful implementation of evidence-based practice (EBP) within athletic training is contingent upon understanding the attitudes and beliefs and perceived barriers toward EBP as well as the accessibility to EBP resources of athletic training educators, clinicians, and students. Objective: To assess the attitudes, beliefs, and perceived barriers toward EBP and accessibility to EBP resources among athletic training educators, clinicians, and students. Design: Cross-sectional study. Setting: Online survey instrument. Patients or Other Participants: A total of 1209 athletic trainers participated: professional athletic training education program directors (n = 132), clinical preceptors (n = 266), clinicians (n = 716), postprofessional athletic training educators (n = 24) and postprofessional students (n = 71). Main Outcome Measure(s):Likert-scale items (1 = strongly disagree, 4 = strongly agree) assessed attitudes and beliefs and perceived barriers, whereas multipart questions assessed accessibility to resources. Kruskal-Wallis H tests (P ≀ .05) and Mann-Whitney U tests with a Bonferroni adjustment (P ≀ .01) were used to determine differences among groups. Results:Athletic trainers agreed (3.27 ± 0.39 out of 4.0) that EBP has various benefits to clinical practice and disagreed (2.23 ± 0.42 out of 4.0) that negative perceptions are associated with EBP. Benefits to practice scores (P = .002) and negative perception scores (P \u3c .001) differed among groups. With respect to perceived barriers, athletic trainers disagreed that personal skills and attributes (2.29 ± 0.52 out of 4.0) as well as support and accessibility to resources (2.40 ± 0.40 out of 4.0) were barriers to EBP implementation. Differences were found among groups for personal skills and attributes scores (P \u3c .001) and support and accessibility to resources scores (P \u3c .001). Time (76.6%) and availability of EBP mentors (69.6%) were the 2 most prevalent barriers reported. Of the resources assessed, participants were most unfamiliar with clinical prediction rules (37.6%) and Cochrane databases (52.5%); direct access to these 2 resources varied among participants. Conclusions: Athletic trainers had positive attitudes toward the implementation of EBP within didactic education and clinical practice. However, accessibility and resource use remained low for some EBP-related resources. Although the perceived barriers to implementation are minimal, effective integration of EBP within athletic training will present challenges until these barriers dissolve

    Genetic vulnerability to diabetes and obesity: does education offset the risk?

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    The prevalence of type 2 diabetes (T2D) and obesity has recently increased dramatically. These common diseases are likely to arise from the interaction of multiple genetic, socio-demographic and environmental risk factors. While previous research has found genetic risk and education to be strong predictors of these diseases, few studies to date have examined their joint effects. This study investigates whether education modifies the association between genetic background and risk for type 2 diabetes (T2D) and obesity. Using data from non-Hispanic Whites in the Health and Retirement Study (HRS, n = 8398), we tested whether education modifies genetic risk for obesity and T2D, offsetting genetic effects; whether this effect is larger for individuals who have high risk for other (unobserved) reasons, i.e., at higher quantiles of HbA1c and BMI; and whether effects differ by gender. We measured T2D risk using Hemoglobin A1c (HbA1c) level, and obesity risk using body-mass index (BMI). We constructed separate genetic risk scores (GRS) for obesity and diabetes respectively based on the most current available information on the single nucleotide polymorphism (SNPs) confirmed as genome-wide significant predictors for BMI (29 SNPs) and diabetes risk (39 SNPs). Linear regression models with years of schooling indicate that the effect of genetic risk on HbA1c is smaller among people with more years of schooling and larger among those with less than a high school (HS) degree compared to HS degree-holders. Quantile regression models show that the GRS × education effect systematically increased along the HbA1c outcome distribution; for example the GRS × years of education interaction coefficient was −0.01 (95% CI = −0.03, 0.00) at the 10th percentile compared to −0.03 (95% CI = −0.07, 0.00) at the 90th percentile. These results suggest that education may be an important socioeconomic source of heterogeneity in responses to genetic vulnerability to T2D

    Transformer-based normative modelling for anomaly detection of early schizophrenia

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    Despite the impact of psychiatric disorders on clinical health, early-stage diagnosis remains a challenge. Machine learning studies have shown that classifiers tend to be overly narrow in the diagnosis prediction task. The overlap between conditions leads to high heterogeneity among participants that is not adequately captured by classification models. To address this issue, normative approaches have surged as an alternative method. By using a generative model to learn the distribution of healthy brain data patterns, we can identify the presence of pathologies as deviations or outliers from the distribution learned by the model. In particular, deep generative models showed great results as normative models to identify neurological lesions in the brain. However, unlike most neurological lesions, psychiatric disorders present subtle changes widespread in several brain regions, making these alterations challenging to identify. In this work, we evaluate the performance of transformer-based normative models to detect subtle brain changes expressed in adolescents and young adults. We trained our model on 3D MRI scans of neurotypical individuals (N=1,765). Then, we obtained the likelihood of neurotypical controls and psychiatric patients with early-stage schizophrenia from an independent dataset (N=93) from the Human Connectome Project. Using the predicted likelihood of the scans as a proxy for a normative score, we obtained an AUROC of 0.82 when assessing the difference between controls and individuals with early-stage schizophrenia. Our approach surpassed recent normative methods based on brain age and Gaussian Process, showing the promising use of deep generative models to help in individualised analyses.Comment: 10 pages, 2 figures, 2 tables, presented at NeurIPS22@PAI4M

    LexMAL: A quick and reliable lexical test for Malay speakers

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    Objective language proficiency measures have been found to provide better and more consistent estimates of bilinguals’ language processing than self-rated proficiency (e.g., Tomoschuk et al., 2019; Wen & van Heuven, 2017a). However, objectively measuring language proficiency is often not possible because of a lack of quick and freely available language proficiency tests (Park et al., 2022). Therefore, quick valid vocabulary tests, such as LexTALE (Lemhöfer & Broersma, 2012) and its extensions (e.g., LexITA: Amenta et al., 2020; LEXTALE-FR: Brysbaert, 2013; LexPT: Zhou & Li, 2022) have been developed to reliably assess language proficiency of speakers of various languages. The present study introduces a Lexical Test for Malay Speakers (LexMAL), which estimates language proficiency for Malay first language (L1) and second language (L2) speakers. An initial 180-item LexMAL prototype was evaluated using 60 Malay L1 and 60 L2 speakers in Experiment 1. Sixty words and 30 nonwords with the highest discriminative power that span across the full difficulty range were selected for the final LexMAL based on point-biserial correlations and an item response theory analysis. The validity of LexMAL was demonstrated through a reliable discrimination between L1 and L2 speakers, significant correlations between LexMAL scores and performance on other Malay language tasks (i.e., translation accuracy and cloze test scores), and LexMAL outperforming self-rated proficiency. A validation study (Experiment 2) with the 90-item final LexMAL tested with a different group of Malay L1 (N = 61) and L2 speakers (N = 61) replicated the findings of Experiment 1. LexMAL is freely available for researchers at www.lexmal.org
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