The idea that merely viewing nature can promote stress recovery has profound societal implications, driving the use of nature imagery in the design of environments where access to real nature is limited. Scientific support for this concept originates from a pioneering study by Ulrich et al. (1991), which …

The Developmental Model of Intercultural Sensitivity (DMIS) has been widely used to conceptualise changes in how individuals experience cultural difference, typically described as a progression from ethnocentric toward ethnorelative orientations. While the model’s value is considerable, its common interpretation …

This chapter “Sustainable City Logistics” explores how cities are transitioning toward more efficient, low-emission, and multimodal logistics systems. Traditional urban freight has long depended on vans and trucks, which, while essential, contribute significantly to congestion, emissions, and noise. …

This thesis introduces a cost-effective methodology for estimating tire contact patch forces and moments at wheel centre using axial force measurements from suspension linkages. The primary aim is to reconstruct these dynamic quantities, eliminating reliance on expensive wheel force transducers (WFTs) …

This chapter “Sustainable City Logistics” explores how cities are transitioning toward more efficient, low-emission, and multimodal logistics systems. Traditional urban freight has long depended on vans and trucks, which, while essential, contribute significantly to congestion, emissions, and noise. …

Nicotine is a well-known and highly addictive substance with complex effects on cognition, anxiety, and neurophysiology. Despite its short-term anxiolytic effects, this drug often exacerbates anxiety symptoms. It disrupts emotional regulation through its impact on the central nucleus of the amygdala …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

Everywhere you look, someone is calling themselves an “AI expert.” Some are. Many… aren’t. So how do we make sense of all the noise?

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …