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Effect of variation in gridded cattle diet composition on estimated enteric methane emissions in data sparse tropical regions.
Animal
December 2024
School of Geosciences, University of Edinburgh, Edinburgh, United Kingdom; Global Academy of Agriculture and Food Systems, University of Edinburgh, Edinburgh, United Kingdom.
Livestock directly contribute to greenhouse gas emissions, mainly through enteric fermentation and to a lesser extent manure management. Livestock feed composition plays a crucial role in diet quality and the resulting emissions from livestock. Diet composition varies seasonally particularly in tropical environments with long dry periods.
View Article and Find Full Text PDFHow does age impact understanding of epistemic adverbs in health communication?
Geriatr Nurs
January 2025
School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia.
Objective: Not much is known about how one's understanding of words may differ with age. Here we explore how epistemic adverbs - as used in health communication to indicate degrees of uncertainty and risk - are understood by older and younger monolingual speakers of Australian English.
Methods: We used an online dissimilarity rating task with sentence pairs presented as first and second doctor opinions which differed only with respect to the embedded epistemic adverbs (e.
Women's views about online communities for gestational diabetes mellitus: A qualitative interview study.
Midwifery
December 2024
Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Problem And Background: Gestational diabetes mellitus (GDM) is a common medical complication of pregnancy, and the emerging evidence demonstrates how GDM online communities have a positive impact on promoting self-management and improving outcomes. Further analysis of such groups can increase understanding of how peer support in GDM online communities is enabled and enacted.
Aim: To examine women's experiences of GDM online communities on Facebook, their motivations for participation, and perceptions of dynamics within the community.
Network-based biomarkers in background electroencephalography in childhood epilepsies-A scoping review and narrative synthesis.
Seizure
November 2024
Neuronostics, Bristol, United Kingdom; Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham B15 2TT, United Kingdom; Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Background: Brain network analysis is an emerging field of research that could lead to the development, testing and validation of novel biomarkers for epilepsy. This could shorten the diagnostic uncertainty period, improve treatment, decrease seizure risk and lead to better management. This scoping review summarises the current state of electroencephalogram (EEG)-based network abnormalities for childhood epilepsies.
View Article and Find Full Text PDFBackground Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR. Methods Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
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