University of the Sunshine Coast

The effects of fungal decay on timber connections: a systematic review

Abstract Connections are critical for the integrity of timber structures, yet they are highly susceptible to reduced capacity due to moisture intrusion and subsequent fungal decay. While the effects of decay on clear wood are well documented, the impacts on the mechanical perform...

Histological aging signatures for monitoring tissue-specific aging and disease

Aging is the primary risk factor for chronic disease and is characterized by profound structural and architectural remodeling of human tissues. Here, we present a comprehensive assessment of these changes using 25,712 whole-slide histopathological images from 40 tissue types acro...

Factors That Influence Technology-Facilitated Intimate Partner Violence: A Scoping Review Using Systems Thinking

Technology-facilitated intimate partner violence (TFIPV) is increasingly featured in cases of intimate partner violence and intimate partner homicide. There is emerging recognition of the use of technology to abuse and control intimate partners in domestic abuse research and the...

Community inclusion for people with complex disabling conditions from the perspective of people with lived experience and those who support their inclusion: a scoping review

Purpose To explore factors that influence community inclusion for adults with complex disabling conditions, from their perspective and that of their supports.Methods and Materials A scoping review was conducted in accordance with the Arksey and O’Malley approach. Studies were scr...

The lived employment experiences and support needs of persons with Younger Onset Dementia within Australia

Background There is limited evidence on the perspectives and support needs of persons with younger onset dementia (YOD) within employment. This poses challenges for supporting this demographic within the workplace and during their transition to retirement. Objective The aim of th...

SELM-CTR: a stacking ensemble deep learning model with SHAP-based analysis for large-scale click-through rate prediction

Purpose Click-through rate (CTR) prediction is a core challenge in digital advertising, as forecasting whether a user will click on an advertisement directly determines ad placement decisions and revenue outcomes. Standard machine learning and deep learning approaches achieve rea...