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Insights into respiratory disease through bioinformaticsHere, we review the basic concepts in bioinformatics and genomic data analysis and illustrate the application of these tools to further our understanding of lung diseases
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Explaining the evolution of ethnicity differentials in academic achievements: The role of time investmentsThis paper is the first to explore whether differences in time use by children of Asian-born parents may help to explain the observed differentials in school achievements
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Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysisHigher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity
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Assessing Diversity in Early Childhood Development in the East Asia-PacificIn all six countries, child development scores increased with age and urban children consistently performed better than rural children
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Identifying pediatric lung disease: A comparison of forced oscillation technique outcomesThese findings suggest the utility of specific FOT outcomes is dependent on the respiratory disease being assessed
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Delivering Elder- and Community-Led Aboriginal Early Childhood Development Research: Lessons from the Ngulluk Koolunga Ngulluk Koort ProjectWe describe the application of a participatory action research methodology that is grounded in Aboriginal worldviews
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The ORVAC trial: A clinical trial of a third scheduled dose of Rotarix rotavirus vaccine in Australian Indigenous infants to improve protection against gastroenteritisWe hypothesised that scheduling an additional (third) dose of oral human rotavirus vaccine for children aged 6 to <12 months would improve protection
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Cochrane corner: platinum-induced hearing loss after treatment for childhood cancerThis systematic review shows that children treated with platinum analogues are at risk of developing hearing loss
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Functional connectivity of the vigilant-attention network in children and adolescents with attention-deficit/hyperactivity disorderADHD patients showed substantially diminished intrinsic coupling for 7 connections and increased coupling for 4 connections
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medicationThe majority of staff and machine learning models were not more accurate than suggested by chance