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Technical Advance: Transcription factor, promoter, and enhancer utilization in human myeloid cellsThe generation of myeloid cells from their progenitors is regulated at the level of transcription by combinatorial control of key transcription factors...
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Matrix metalloproteinase activation by free neutrophil elastase contributes to bronchiectasis progression in early cystic fibrosisThe aim of this study was to assess if MMP activation positively correlates with neutrophil elastase activity, disease severity and bronchiectasis in young...
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The mental health of asbestos-exposed subjects with pleural abnormalitiesThe presence of pleural abnormalities did not further affect the mental health of asbestos-exposed people beyond a decrement associated with exposure per se.
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The relationship between nutrition in infancy and cognitive performance during adolescenceNutrition in early childhood may have a long-term association with fundamental cognitive processing speed, which is likely to be related to enhanced brain...
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Maternity care: A narrative overview of what women expect across their care continuumThe objective of this study was to provide a narrative overview of the values schema underpinning women's expectations of public maternity-care services...
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Engaging, supporting and working with children and families in Tasmania’s Child and Family CentresThe results showed that Tasmania's Child and Family Centres had a positive impact on parents' use and experiences of services and supports for young 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.
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Consultation informs strategies for improving the use of functional evidence in variant classificationWhen investigating whether a variant identified by diagnostic genetic testing is causal for disease, applied genetics professionals evaluate all available evidence to assign a clinical classification. Functional assays of higher and higher throughput are increasingly being generated and, when appropriate, can provide strong functional evidence for or against pathogenicity in variant classification. Despite functional assay data representing unprecedented value for genomic diagnostics, challenges remain around the application of functional evidence in variant curation.
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Does exercise in cool water cause a higher risk of hypoglycaemia than in thermoneutral conditions in type 1 diabetes?The aim of this study was to test the hypothesis that exercise in cool water results in a greater decrease in blood glucose concentration than in thermoneutral water or on land in individuals with type 1 diabetes.
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Combination of curcumin or chitosan with photodynamic therapy as an effective alternative therapy for overcoming wound infection associated with multidrug-resistant Acinetobacter baumanniiThe increasing prevalence of multidrug-resistant Acinetobacter baumannii as an opportunistic pathogen in wound infections raises significant concerns due to its antibiotic resistance and biofilm-mediated antibiotic tolerance. This underscores the urgent need to explore an alternative approach to effectively managing wound infections caused by MDR A. baumannii.