University of Bath

The ‘legging up’ burden: Hidden struggles of model minorities in racialized mentoring at work

Drawing on contemporaneous microstoria narrated by Black model minorities (BMMs), this paper theorizes the legging up burden: the implicit expectation that BMMs, positioned as token representatives of their race, will provide mentoring and support to organizational members with w...

A cross‑sectional survey and content analysis of local youth vaping prevention initiatives

Abstract Background Youth vaping is an increasing public health concern in the UK. While national strategies address regulation, little is known about local authority-led vaping prevention initiatives. This study synthesised information on existing local approaches to identify th...

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

ABSTRACT Durable, high‐performance, and environmentally friendly lead‐free piezoceramics are essential for next‐generation sustainable energy transducers and electromechanical systems. However, piezoceramics are mechanically weak, which negatively impacts their working conditions...

Quantifying temporal changes in the monetary value of forest cultural ecosystem services globally: a meta-analysis

Abstract The world’s forests, and the biodiversity they contain, provide multiple cultural ecosystem services that are essential to people’s well-being. However, interactions between people and forests evolve alongside broader societal and environmental change, raising questions...

Integrated numerical modeling of landslide-induced wave at Shahrchay Dam using PLAXIS and MIKE 21

Landslides entering dam reservoirs can generate hazardous impulse waves that threaten human lives and infrastructure, particularly in densely populated downstream areas. The Shahrchay Dam, located 12 km upstream of Urmia city (population > 700,000), is situated near an unstable s...

ImmTACs overcome cytotoxic T cell suppression

Abstract Immune mobilizing monoclonal TCR against cancer (ImmTAC) are cancer therapeutics that activate T cells through recognition of a tumor-associated antigenic MHC/peptide complex. A first-in-class ImmTAC, Tebentafusp, is approved for the treatment of metastatic uveal melanom...

Metal–OrganicFrameworks (MOFs) for the Deliveryof Small-Molecule Therapeutics

Abstract As cutting-edge porous materials, the properties of metal–organic frameworks (MOFs) are governed by their metal nodes and organic linkers, as well as the assembly mode of these subunits. This allows the loading capacity of MOFs for small-molecule drugs to be readily tail...

Element-Specific DonorNumbers for Anions

Abstract Anion interactions with cations/molecules are crucial across chemistry and biology: in battery electrolytes, synthesis, atmospheric processes, and protein denaturation. Selecting the optimum anion represents an immense challenge, as anion interactions are diverse and com...

Measuring Ocean Surface Waves

Abstract Propagating waves on the ocean surface can be represented as a stochastic process whose statistics are characterized by a spectrum. This paper reviews methods for measuring the wave spectrum and related quantities. Observations begin by sensing fluid dynamical properties...

A proof-theoretic bound extraction theorem for monotone operators in Banach spaces

Abstract We utilize a proof-theoretically tame approach to the dual of an abstract Banach space in systems amenable to methods from proof mining, as recently introduced by the author, to provide similar such systems with accompanying logical metatheorems on the extraction of unif...

Vitamin–Metal Synergy: Folic-Acid-Based Carbon Nanoassemblies for Optimized Plant Growth

Abstract Developing sustainable strategies to enhance crop yields is critical to meeting global food demands under intensifying climate stress. This study investigates the synthesis and application of folic-acid-based carbon nanoassemblies (FA-CNAs) that integrate magnesium (Mg)...

Revisitingthe LSER Approach in the Era of MachineLearning: Insights from IAM Chromatography

Abstract The present study demonstrates the integration of the linear solvation energy relationship (LSER) concept with machine learning (ML) methodologies to improve the predictive and interpretative capabilities of chromatographic retention modeling. Immobilized artificial memb...

Childhood obesity governance in Qatar: a policy and legal benchmarking analysis against international child rights and WHO frameworks

Abstract Background Childhood obesity prevention requires coherent national policy packages that address children’s food, physical activity, school, health service, and governance environments. Yet country-level policy claims are often made without auditable verification against...