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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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Clinical Trials in the Brain Tumour Population: Challenges and Strategies for the FutureThis review identifies challenges and barriers to successful development of drugs in neuro-oncology trials at the preclinical, clinical and translational stages that we believe has contributed to poor outcomes for patients over the last 30 years.
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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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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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The inhibitory and inactivating effects of visible light on SARS-CoV-2: A narrative updatePrior to the coronavirus disease-19 pandemic, the germicidal effects of visible light were well known. This review provides an overview of new findings that suggest there are direct inactivating effects of visible light - particularly blue wavelengths on exposed severe acute respiratory syndrome coronavirus 2 virions, and inhibitory effects on viral replication in infected cells. These findings complement emerging evidence that there may be clinical benefits of orally administered blue light for limiting the severity of COVID-19.
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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.