Early diagnosis of dementia is critical for assessing disease progression and potential treatment. State-or-the-art machine learning techniques have been increasingly employed to take on this diagnostic task. In this study, we employed Generalized Matrix Learning Vector Quantization (GMLVQ) classifiers...

Previous research suggests declines in emotion perception in older as compared to younger adults, but the underlying neural mechanisms remain unclear. Here, we address this by investigating how “face-age” and “face emotion intensity” affect both younger and older participants’ behavioural and...

The digital transformation in higher education (HE) marketing has accelerated rapidly after the artificial intelligence (AI) advancement, especially through the integration of generative AI technologies. Institutions are increasingly relying on these innovations to enhance outreach, personalization, and operati...

Background: Children and young people (CYP) with intellectual developmental disabilities (IDD) experience substantial health needs and higher healthcare utilisation compared with the general paediatric population. However, factors affecting the emergency healthcare use among children with IDD ...

Integrated Programme Assessment (IPA) is an approach to curriculum design in which assessment is organised at programme rather than module level, enabling synoptic assessments requiring students to integrate knowledge and skills across a programme rather than within isolated modules. IPA is ...

The aim of this work was to examine the resistance of high-strength steel (HSS) doubly symmetric I-beams according to international codes (BS EN 1993-1-1:2022, ANSI/AISC 360-22 and AS 4100-2020). For this purpose, a database comprising 138 tests conducted between 1969 and 2023 was&...

Steel fibres are widely used to improve the mechanical performance of concrete but are associated with high density, corrosion susceptibility and increased material demand. This study experimentally evaluates the effectiveness of newly developed wavy macro-basalt fibres as an alternative reinforcement...

This research is based on numerical analyses to assess the level of damage by examining the formation and propagation of cracks, block fragmentation, and material degradation before failure. To this end, numerical simulations are carried out using ABAQUS, a software based on the fi...

This study introduces a novel machine learning-based inverse design methodology for predicting the parent cross-sectional and material properties of perforated steel beams with elliptically-based openings. Unlike conventional forward design or optimisation-based methods, the proposed approach frames structural ...