543 research outputs found

    Spoken word classification in children and adults

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    Purpose: Preschool children often have difficulties in word classification, despite good speech perception and production. Some researchers suggest they represent words using phonetic features rather than phonemes. We examine whether there is a progression from feature based to phoneme based processing across age groups, and whether responses are consistent across tasks and stimuli. Method: In Study 1, 120 3 to 5 year old children completed three tasks assessing use of phonetic features in classification, with an additional 58 older children completing one of the three tasks. In Study 2, all of the children, together with an additional adult sample, completed a nonword learning task. Results: In all four tasks, children classified words sharing phonemes as similar. In addition, children regarded words as similar if they shared manner of articulation, particularly word-finally. Adults also showed this sensitivity to manner, but across the tasks there was a pattern of increasing use of phonemic information with age. Conclusions: Children tend to classify words as similar if they share phonemes or share manner of articulation word finally. Use of phonemic information becomes more common with age. These findings are in line with the theory that phonological representations become more detailed in the preschool years

    Service user experience of the Norfolk youth service

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    Purpose: There is an international drive to improve mental health services for young people. This study aims to investigate service user experience of a youth mental health service in Norfolk, UK. In addition to suggesting improvements to this service, recommendations are made for the development of youth mental health services in general. Design/methodology/approach: A mixed-methods approach was used. Quantitative data from satisfaction questionnaires were analysed using descriptive statistics and compared between two time points. A semi-structured interview was used to generate qualitative data. Thematic analysis was used to identify themes in the interview transcripts and triangulation was used to synthesise quantitative and qualitative data. Findings: Service users appeared satisfied with the service. Significant improvements in satisfaction were found between two time points. Qualitative analysis identified three main themes that were important to service users, including support, information and personhood. Practical implications: Recommendations for the development of youth mental health services are provided. Although these are based on findings from the Norfolk youth service, they are likely to apply to other mental health services for young people. Originality/value: Mental health care for young people requires significant improvement. The Norfolk youth service is one of the first services of its kind in the UK. The findings from this study might be helpful to consider in the development of youth mental health services across the world

    Speech and language difficulties in children with and without a family history of dyslexia

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    Comorbidity between SLI and dyslexia is well documented. Researchers have variously argued that dyslexia is a separate disorder from SLI, or that children with dyslexia show a subset of the difficulties shown in SLI. This study examines these hypotheses by assessing whether family history of dyslexia and speech and language difficulties are separable risk factors for literacy difficulties. Forty-six children with a family risk of dyslexia (FRD) and 36 children receiving speech therapy (SLT) were compared to 128 typically developing children. A substantial number (41.3%) of the children with FRD had received SLT. The nature of their difficulties did not differ in severity or form from those shown by the other children in SLT. However, both SLT and FRD were independent risk factors in predicting reading difficulties both concurrently and 6 months later. It is argued that the results are best explained in terms of Pennington's (2006) multiple deficits model

    Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments

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    In longitudinal and spatial studies, observations often demonstrate strong correlations that are stationary in time or distance lags, and the times or locations of these data being sampled may not be homogeneous. We propose a nonparametric estimator of the correlation function in such data, using kernel methods. We develop a pointwise asymptotic normal distribution for the proposed estimator, when the number of subjects is fixed and the number of vectors or functions within each subject goes to infinity. Based on the asymptotic theory, we propose a weighted block bootstrapping method for making inferences about the correlation function, where the weights account for the inhomogeneity of the distribution of the times or locations. The method is applied to a data set from a colon carcinogenesis study, in which colonic crypts were sampled from a piece of colon segment from each of the 12 rats in the experiment and the expression level of p27, an important cell cycle protein, was then measured for each cell within the sampled crypts. A simulation study is also provided to illustrate the numerical performance of the proposed method.Comment: Published in at http://dx.doi.org/10.1214/009053607000000082 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Using a Place-Based Approach in Preparing Community Teachers for High-Need Schools

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    This case study describes actions and outcomes of a school-university partnership to better prepare teachers for high-need schools with large numbers of English Learners. Using a place-based approach to preparing community teachers, preservice and inservice teachers and teacher educators collaboratively learned how to work with families and community members to address student needs and developed core practices attuned to the socio-cultural context. The partnership also established a pathway to teaching for bilingual/bicultural students from the community. Data are derived from semi-structured interviews, focus groups, intern and teacher surveys, journal reflections, and a statewide teacher employment database

    A scoping review of augmented/virtual reality health and wellbeing Interventions for older adults: redefining Immersive virtual reality

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    Augmented and virtual reality (AR/VR) technologies are regularly used in psychology research to complement psychological interventions and to enable an individual to feel as if they are in an environment other than that of their immediate surroundings. A scoping review was performed to identify how AR/VR was being used with older adult populations to impact their physical and mental health. The review also sought to determine whether the terminology used in AR/VR research was consistent. The results show that 65 studies have been published in the last 20 years that meet the inclusion criteria (virtual/augmented reality) technology to impact older adultsā€™ physical/mental health and wellbeing. Participants included healthy, physically, and cognitively impaired, and emotionally vulnerable older adults. We argue that over 70% of the studies included in this review were mislabeled as VR and only six papers included fully immersive VR/AR. The remaining studies use less immersive variants of virtual reality with their populations, and only one study made use of AR, which prompted the suggestion of a new definition for virtual reality. This paper also calls for an updated taxonomy of augmented and virtual reality definitions to address the lack of consistency found in studies that identify themselves as AR/VR when they are using less immersive technical set-ups, including displaying non-interactive videos on 2D screens

    Stakeholder views regarding ethical issues in the design and conduct of pragmatic trials : study protocol

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    This work is supported by the Canadian Institutes of Health Research through the Project Grant competition (competitive, peer reviewed), award number PJT-153045. Jeremy Grimshaw holds a Canada Research Chair in Health Knowledge Transfer and Uptake and a CIHR Foundation Grant (FDN-143269). Charles Weijer holds a Canada Research Chair in Bioethics. Joanne McKenzie is supported by an Australian National Health and Medical Research Council Career Development Fellowship (1143429). Vipul Jairath hold a personal Endowed Chair at Western University (John and Susan McDonald Endowed Chair). Marion Campbell is based with the Health Services Research Unit which is core-funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. Ian Graham is a CIHR Foundation Grant recipient (FDN# 143237).Peer reviewedPublisher PD

    COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations

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    The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.This project has received funding from the European Unionā€™s Horizon 2020 research and innovation program under grant agreement No 769830
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