53 research outputs found

    Implementing community-based participatory research among African Americans with serious and persistent mental illness: A qualitative study

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    Community-based participatory research (CBPR) is an approach that involves community members in research, not as research participants, but as partners. However, few studies have examined CBPR projects conducted among African Americans with serious and persistent mental illness (SPMI). This article focuses specifically on the Inspiring Change (IC) model, which includes a leadership trio comprised of an academic researcher, health service provider and an African American with lived experience of SPMI. Our purpose is to investigate how the IC model shapes not only how research is conducted but how research is understood and experienced by the community. We achieve this purpose by (1) describing an innovative CBPR model and pilot projects that involved African Americans with SPMI in all stages of the research project; and (2) presenting findings from qualitative interviews conducted with CBPR team members about strengths, challenges and leadership particular to this model of CBPR, an area rarely explored in CBPR literature. With the guidance of an advisory board and the manualised IC curriculum, two CBPR teams initiated and conducted nine-month long research projects focusing on health disparities for African Americans with SPMI. Members of the two CBPR teams (n = 13), which included individuals with lived experience, service providers and researchers, completed qualitative interviews. Benefits of CBPR projects included opportunities to learn, a sense of purpose in helping others and increased trust of research participants. Challenges pertained to disorganisation of leadership, lack of transparency with compensation, time pressures and interpersonal conflicts. These challenges highlight the importance of preparing and supporting those from both academic and lived experience backgrounds in skills necessary to thrive in leadership roles for CBPR projects. &nbsp

    The influence of children's exposure to language from two to six years: the case of nonword repetition

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    Nonword repetition (NWR) is highly predictive of vocabulary size, has strong links to language and reading ability, and is a clinical marker of language impairment. However, it is unclear what processes provide major contributions to NWR performance. This paper presents a computational model of NWR based on Chunking Lexical and Sub-lexical Sequences in Children (CLASSIC) that focuses on the child’s exposure to language when learning lexical phonological knowledge. Based on language input aimed at 2–6 year old children, CLASSIC shows a substantial fit to children’s NWR performance for 6 different types of NWR test across 6 different NWR studies that use children of various ages from 2;1 to 6;1. Furthermore, CLASSIC’s repetitions of individual nonwords correlate significantly with children’s repetitions of the same nonwords, NWR performance shows strong correlations to vocabulary size, and interaction effects seen in the model are consistent with those found in children. Such a fit to the data is achieved without any need for developmental parameters, suggesting that between the ages of two and six years, NWR performance measures the child’s current level of linguistic knowledge that arises from their exposure to language over time and their ability to extract lexical phonological knowledge from that exposure

    Vision, challenges and opportunities for a Plant Cell Atlas

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    With growing populations and pressing environmental problems, future economies will be increasingly plant-based. Now is the time to reimagine plant science as a critical component of fundamental science, agriculture, environmental stewardship, energy, technology and healthcare. This effort requires a conceptual and technological framework to identify and map all cell types, and to comprehensively annotate the localization and organization of molecules at cellular and tissue levels. This framework, called the Plant Cell Atlas (PCA), will be critical for understanding and engineering plant development, physiology and environmental responses. A workshop was convened to discuss the purpose and utility of such an initiative, resulting in a roadmap that acknowledges the current knowledge gaps and technical challenges, and underscores how the PCA initiative can help to overcome them.</jats:p
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