Institution
Teesside University
Recent research
- Society & EconomicsOpen access
Complete strategy spaces reveal hidden pathways to cooperation
Understanding how cooperation emerges and persists is a central challenge in evolutionary game theory. However, models of communication often rely on restricted strategy sets, making it unclear whether omitted behaviours alter cooperation. Here, we study the complete deterministi...
- Society & EconomicsOpen access
Stakeholder agency in humanitarian projects addressing forced displacement
Purpose Humanitarian projects address critical global issues such as poverty, climate change and forced displacement. However, research reveals that many such projects yield limited results when managed through a top-bottom approach. In this research, we investigate how the agenc...
- Society & EconomicsOpen access
Abstract This article argues that, during the Second World War, Irish neutrality was constantly debated in gendered terms. For its proponents, neutrality was situated within a nationalist tradition which spoke a markedly masculine language and thus supplied a useful justification...
- Society & EconomicsOpen access
Social welfare optimisation under institutional reward and punishment
Institutional incentives are widely used to promote cooperation among autonomous, self-regarding agents, from human societies to multi-agent and AI systems. Existing work typically treats incentive design as a bi-objective problem: minimise institutional cost while achieving a hi...
- Engineering & TechnologyOpen access
Side-boss parallel channels can enhance reactant transport and water removal in proton exchange membrane fuel cells, but their local protrusions increase the forming difficulty of ultra-thin metallic bipolar plates. This study numerically investigates the single-step stamping for...
- Society & EconomicsOpen access
Abstract In 2021, the government of late President Muhammad Buhari signed the Finance Act of 2021 into law. This law, through the Customs, Excise, Tariffs, etc. (Consolidation) Act, instituted a ₦10-per-litre tax on Sugar-Sweetened Beverages to reduce excessive added-sugar consum...
- Health & MedicineOpen access
High-accuracy lung region segmentation and injury classification using deep networks
This study developed and evaluated a hybrid deep learning framework for automated lung segmentation and multi-class severity classification in chest CT scans, addressing key methodological gaps including heterogeneous dataset labeling, pseudo-label bias in segmentation, limited i...