Soft robots benefit from their compliant materials, but the potential of safe and reliable operation remains limited without integration of strain and tactile sensors to detect contact, collisions, and robot pose. While humans achieve dexterous grasping through a dense distribution of mechan...

Summary: The rapid digitalization of work, accelerated by the COVID-19 pandemic, has fundamentally transformed organizational behavior and necessitated a reconceptualization of inclusion in virtual spaces. This editorial synthesizes six groundbreaking studies that advance our understanding of inclusive&#...

Private sector intelligence uses a vast array of terminology that obscures the boundaries, clear definition and demarcation of the field. This paper presents original empirical research to analyze job responsibilities and terminology. It first examines 2245 job postings in the UK through...

Alzheimer's disease (AD) is the most common cause of dementia, with global case numbers projected to reach 153 million in 20501. AD is highly heritable, with twin-based heritability estimates of 60-80%2. Although 1,200 causal loci are predicted to exist for AD3, approximately 80...

Solar-powered water splitting via photocatalysis provides a sustainable method towards low-carbon hydrogen generation. However, efficient capture and utilisation of solar energy remains a key challenge for existing reactor designs. Whilst Compound Parabolic Concentrators (CPCs) can enhance the Solar-To-Hydrogen...

The objective of this paper is to examine the role of policies and institutions in shaping inflation during the pandemic for a global sample of 106 countries. Our analysis unravels new evidence: central banks contribute to developing countries’ inflation but curb ASEAN inflation. F...

Chronic electricity outages can shift the burden of unreliable grid supply to local backup generation, yet cross-country evidence on the scale and consequences of this shift remains limited. This study develops a harmonized framework for 56 outage-affected countries that links reported outag...

The hot deformation behavior and workability of an extruded biodegradable Mg–1Zn–0.2Ca alloy (initial grain size 25.7 µm) were investigated by isothermal compression at temperatures of 200–400 °C and strain rates of 0.001–1 s⁻¹. The flow stress decreased with increasing temperature and incre...

This paper presents a machine learning-based predictive model that integrates semantic technology and artificial intelligence (AI) to optimise real-time job search and job-resume matching. The proposed model leverages natural language processing (NLP) and semantic feature extraction to improve contextual&#...