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Early development of emerging and English-proficient bilingual children at school entry in an Australian population cohortChildren who enter school with limited proficiency in the language of instruction face a range of challenges in negotiating this new context, yet limited...
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Early life arsenic exposure and acute and long-term responses to influenza A infection in miceExposure to arsenic in early life has been shown to increase the rate of respiratory infections during infancy, reduce childhood lung function, and increase...
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Childhood Education and Development Services in IndonesiaAlthough children's later experiences can still have an effect, developments in early childhood have long-lasting effects on health, behaviour and learning...
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Early Childhood Research and Indonesia's Young ChildrenThis chapter assesses what global evidence tells us about the importance of early childhood education and development...
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Inequalities in child healthy development: some challenges for effective implementationInequalities in child healthy development: some challenges for effective implementation
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Barriers to uptake and implementation of malaria chemoprevention in school-aged children: a stakeholder engagement meeting reportMalaria is a leading cause of death in school-aged children in sub-Saharan Africa, and non-fatal chronic malaria infections are associated with anaemia, school absence and decreased learning, preventing children from reaching their full potential. Malaria chemoprevention has led to substantial reductions in malaria in younger children in sub-Saharan Africa.
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Prevalence of attention deficit hyperactivity disorder/hyperkinetic disorder of pediatric and adult populations in clinical settings: a systematic review, meta-analysis and meta-regressionAttention-Deficit/Hyperactivity Disorder (ADHD)/Hyperkinetic Disorder (HD) is linked to increased risks of morbidity, comorbidity and mortality, with higher prevalence in clinical populations. The differential prevalence of ADHD/HD across adult and pediatric clinical populations, influenced by factors such as time trends, sex, age, geographic regions, and comorbidities, has not been systematically assessed.
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Evaluation of the Acceptability and Feasibility of the Social Attention and Communication Surveillance-Revised (SACS-R) Tool for Early Identification of Autism in Preterm InfantsPreterm birth is associated with a 3.3-fold increased likelihood of autism diagnosis, with lower gestational age conferring higher likelihood. In Australia, autism is typically diagnosed at around age four, potentially missing the optimal neuroplasticity window before age two. The Social Attention and Communication Surveillance-Revised (SACS-R) tool identifies early autism signs in children aged 11-30 months, enabling pre-emptive intervention.
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Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autismEye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.
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Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infantsProcessed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.