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Techniques and Processes Involved in Nanoencapsulation of Omega-3, -6, and -9 Fatty AcidsOmega fatty acids are essential for young children’s growth and development. They also have essential functions in cell receptors of membranes and regulation of hormones synthesis. Essential fatty acids such as omega-3 and -6 can only be obtained through food mainly fish and other seafood and to a lesser extent through nuts, seeds, and plant oils.
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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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Play Active physical activity policy intervention and implementation support in early childhood education and care: results from a pragmatic cluster randomised trialPolicy interventions to increase physical activity in early childhood education and care (ECEC) services are effective in increasing physical activity among young children. However, a large proportion of ECEC services do not have nor implement a physical activity policy.
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How Families Manage the Complex Medical Needs of Their Children with MECP2 Duplication SyndromeMECP2 duplication syndrome (MDS) is a rare, X-linked, neurodevelopmental disorder resulting from the duplication of the methyl-CpG-binding protein 2 (MECP2) gene. The clinical features of MDS include severe intellectual disability, global developmental delay, seizures, recurrent respiratory infections, and gastrointestinal problems. The aim of this qualitative study was to explore how the parents of children with MDS manage their child's seizures, recurrent respiratory infections, and gastrointestinal symptoms, and the impact on them as parents.
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Health service utilisation for acute respiratory infections in infants graduating from the neonatal intensive care unit: a population-based cohort studyDespite advances in neonatal intensive care, babies admitted to Neonatal Intensive Care Units (NICU) suffer from adverse outcomes. We aim to describe the longer-term respiratory infectious morbidity of infants discharged from NICU using state-wide population-based linked data in Western Australia.
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Hospitalizations from Birth to 28 Years in a Population Cohort of Individuals Born with Five Rare Craniofacial Anomalies in Western AustraliaTo describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.
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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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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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Pulmonary bacteriophage and cystic fibrosis airway mucus: friends or foes?For those born with cystic fibrosis (CF), hyper-concentrated mucus with a dysfunctional structure significantly impacts CF airways, providing a perfect environment for bacterial colonization and subsequent chronic infection. Early treatment with antibiotics limits the prevalence of bacterial pathogens but permanently alters the CF airway microenvironment, resulting in antibiotic resistance and other long-term consequences.
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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.