Background: Risk factors for loneliness operate at micro, meso and macro level. Evidence about loneliness risk factors is dominated by individual level data. Evidence about meso level factors is sparse and research rarely differentiates different loneliness trajectories. We address these gaps...

The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.* The total of 175 full papers and 78 short papers presented in this book set were&#x...

In this paper, we propose an approach for enhancing the usability of Web services. Our approach is based on a set of common interaction characteristics permeating through several interaction design methodologies, such as User-Centred Design, Participatory Design, Meta-Design and Semiotic Engineer...

Deploying six-dimensional movable antenna (6DMA) systems in Internet-of-Vehicles (IoV) scenarios can greatly enhance spectral efficiency. However, the high mobility of vehicles causes rapid spatio-temporal channel variations, posing a significant challenge to real-time 6DMA optimization. In this work, we p...

This demonstration presents U-Parking, a distributed Ultra-Wideband (UWB)-assisted autonomous parking system. By integrating Large Language Models (LLMs)-assisted planning with robust fusion localization and trajectory tracking, it enables reliable automated parking in challenging indoor environments, as validated t...

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) has accelerated the efficiency of modern wireless systems, yet its performance is constrained by the propagation blocking effect and the receiver analog-to-digital converters (ADC) saturation. Motivated by these, this paper first attempted to s...

The valorisation of combustion residues offers a sustainable route to support sustained development of biomass power plants. This study investigates the synthesis of Ca-enhanced porous carbons from biomass combustion residues sourced from Drax Power Station (UK) and post-consumer chicken eggshells.&#x...

Deploying deep learning-based speech enhancement in wearable hearing aids is challenging due to strict constraints on latency and real-time processing. Conventional models are often computationally intensive and unsuitable for resource-limited edge devices. To address this, we propose a lightweight an...

As a relatively new type of eco-friendly material, magnesium oxysulfate (MOS) cement offers a sustainable alternative to Portland cement. However, its poor water resistance poses a significant challenge to its wider applications. White carbon black (FS) predominantly consists of SiO₂ and exh...