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Developing fit-for-purpose funding models for rural settings: Lessons from the evaluation of a step-up/step-down service in regional AustraliaSub-acute mental health community services provide a bridging service between hospital and community care. There is limited understanding of the local factors that influence success, and of the funding implications of delivering services in rural areas.
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Excess Mortality Among People With Rheumatic Heart Disease in AustraliaJonathan Carapetis AM AM MBBS FRACP FAFPHM PhD FAHMS Executive Director; Co-Head, Strep A Translation; Co-Founder of REACH 08 6319 1000 contact@
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Reliability of the Commonly Used and Newly-Developed Autism MeasuresThe aim of the present study was to compare scale and conditional reliability derived from item response theory analyses among the most commonly used, as well as several newly developed, observation, interview, and parent-report autism instruments.
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Inter-rater reliability and agreement of the General Movement Assessment and Motor Optimality Score-Revised in a large population-based samplePrechtl's General Movement Assessment (GMA) at fidgety age (3-5 months) is a widely used tool for early detection of cerebral palsy. Further to GMA classification, detailed assessment of movement patterns at fidgety age is conducted with the Motor Optimality Score-Revised.
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Arriving at the empirically based conceptualization of restricted and repetitive behaviors: A systematic review and meta-analytic examination of factor analysesAn empirically based understanding of the factor structure of the restricted and repetitive behaviors (RRB) domain is a prerequisite for interpreting studies attempting to understand the correlates and mechanisms underpinning RRB and for measurement development. Therefore, this study aimed to conduct a systematic review and meta-analysis of RRB factor analytic studies.
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Gender non-conformity in childhood and adolescence and mental health through to adulthood: A longitudinal cohort study, 1995-2018Few studies have examined associations between gender non-conformity (GNC) in childhood or adolescence and mental health outcomes later in life. This study examined associations between GNC and mental health over multiple time points in childhood and adolescence, and GNC in childhood and/or adolescence and mental health in adulthood.
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Nature Connection: Providing a Pathway from Personal to Planetary HealthThe vast and growing challenges for human health and all life on Earth require urgent and deep structural changes to the way in which we live. Broken relationships with nature are at the core of both the modern health crisis and the erosion of planetary health. A declining connection to nature has been implicated in the exploitative attitudes that underpin the degradation of both physical and social environments and almost all aspects of personal physical, mental, and spiritual health.
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Maternal diet modulates the infant microbiome and intestinal Flt3L necessary for dendritic cell development and immunity to respiratory infectionPoor maternal diet during pregnancy is a risk factor for severe lower respiratory infections in the offspring, but the underlying mechanisms remain elusive. Here, we demonstrate that in mice a maternal low-fiber diet led to enhanced LRI severity in infants because of delayed plasmacytoid dendritic cell recruitment and perturbation of regulatory T cell expansion in the lungs.
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Copy number variation in tRNA isodecoder genes impairs mammalian development and balanced translationThe number of tRNA isodecoders has increased dramatically in mammals, but the specific molecular and physiological reasons for this expansion remain elusive. To address this fundamental question we used CRISPR editing to knockout the seven-membered phenylalanine tRNA gene family in mice, both individually and combinatorially.
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Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq dataMachine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.