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Comprehensive investigation of congenital anomalies in cerebral palsy: Protocol for a European-Australian population-based data linkage study

The aim of this study is to generate new knowledge about the aetiologies of CP through a focused investigation into the role of congenital anomalies

Differential Sensitivity of Human Hepatocellular Carcinoma Xenografts to an IGF-II Neutralizing Antibody May Involve Activated STAT3

These findings implicate the activation of STAT3 as one pathway that may mediate resistance to IGF-II-targeted therapy in HCC

Study protocol for a self-controlled cluster randomised trial of the Alert Program to improve self-regulation and executive function in Australian Aboriginal children

This trial is evaluating the effectiveness of an Alert Program school curriculum for improving self-regulation and executive function in children living in remote Australian Aboriginal communities

Rheumatic Heart Disease Worldwide: JACC Scientific Expert Panel

The authors present a variety of pressing clinical research questions on optimal RHD prevention and advanced care

How New and Expecting Fathers Engage With an App-Based Online Forum: Qualitative Analysis

These data show that fathers are prepared to use a breastfeeding-focused online forum in a variety of ways to facilitate social support

The influence of incomplete case ascertainment on measures of vaccine efficacy

A biologically active vaccine may produce a low measured vaccine efficacy under a range of epidemiological, vaccine-related and logistical conditions

Vitamin D is crucial for maternal care and offspring social behaviour in rats

These data highlight that early life levels of vitamin D are an important consideration for maternal behavioural adaptations as well as offspring neuropsychiatry

Large-Scale Structural Variation Detection in Subterranean Clover Subtypes Using Optical Mapping

The accuracy of structural variations detection by Bionano optical mapping is highly dependent on the quality of reference genomes and the density of selected nickases

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood

Using linked data to investigate developmental vulnerabilities in children of convicted parents

Although children of convicted parents experience a higher incidence of sociodemographic risk, their parents' criminal activity constitutes an independent risk factor for their development