Search
Research
Costs of primary healthcare presentations and hospital admissions for scabies and related skin infections in Fiji, 2018–2019Scabies and related bacterial skin and soft tissue infections are highly prevalent in many tropical, low- and middle-income settings. These skin conditions contribute to higher healthcare costs and burdens on healthcare systems.
Research
A near-complete genome of the uncultured Staphylococcus aureus phage COMBAT-CF_PAR1 isolated from the lungs of an infant with cystic fibrosisIn cystic fibrosis, bacteria–bacteriophage interaction in the lower airways is poorly understood. We present the near-complete genome of the uncultured Siphovirus-like bacteriophage, Staphylococcus aureus phage COMBAT-CF_PAR1, isolated from the lower airways. The genome spans 41,510 bp with 33.45% guanine–cytosine content and contains 65 open reading frames.
Research
Global Disparities of Cancer and Its Projected Burden in 2050Cancer prevention and care efforts have been challenged by the COVID-19 pandemic and armed conflicts, resulting in a decline in the global Human Development Index (HDI), particularly in low- and middle-income countries. These challenges and subsequent shifts in health care priorities underscore the need to continuously monitor cancer outcome disparities and statistics globally to ensure delivery of equitable and optimal cancer prevention and care in uncertain times.
Research
Risk and protective factors of youth crime: An umbrella review of systematic reviews and meta-analysesSeveral systematic reviews and meta-analyses have been conducted on the risk and protective factors of youth crime. This study aims to consolidate this evidence using an umbrella review methodology.
Research
Metagenomic Characterisation of the Gut Microbiome and Effect of Complementary Feeding on Bifidobacterium spp. in Australian InfantsComplementary feeding induces dramatic ecological shifts in the infant gut microbiota toward more diverse compositions and functional metabolic capacities, with potential implications for immune and metabolic health. The aim of this study was to examine whether the age at which solid foods are introduced differentially affects the microbiota in predominantly breastfed infants compared with predominantly formula-fed infants.
Research
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.
Research
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.
Research
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.
Research
Kindy Moves: the feasibility of an intensive interdisciplinary programme on goal and motor outcomes for preschool-aged children with neurodisabilities requiring daily equipment and physical assistanceTo determine the feasibility of an intensive interdisciplinary programme in improving goal and motor outcomes for preschool-aged children with non-progressive neurodisabilities. The primary hypothesis was that the intervention would be feasible.
Research
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.