Universidad de Londres

Social Strategies in Composing for Improvisers: Compositional Voice in/as Ensemble Microtradition

This paper will consider the roles of ensemble ‘microtradition’ in providing meaning(s) within compositional frameworks and strategies designed for improvisers. I will position such improvisation-reliant approaches within composer-led ensembles as particularly fruitful subjects o...

Seismic Resilience Evaluation of Double-Pier Bridge Substructures With Delay Time Consideration

Traditional bridges rely on ductile seismic design and hysteretic energy dissipation, followed by repairs to restore service. Double-pier bridge substructures are statically indeterminate; under transverse excitation, pier stresses hinder selecting damage indices, limiting seismi...

Directed Oxidative Folding of Disulfide-Rich Peptides (DRPs) Using a Pseudoproline Unit: Ion Mobility-Mass Spectrometry (IM-MS) Reveals the Conformational Landscape of the DRP

Abstract Disulfide-rich peptides (DRPs) are attractive drug development scaffolds due to their exceptional stability and specificity. Regioselective disulfide bond formation is often achieved via orthogonal Cys protecting groups or strategic Pro placement. However, Cys protection...

Greater attention to trauma-related information in refugees

This study examined emotional Stroop interference and attentional processing in refugees using an Emotional Stroop Task. The final analysed sample comprised 42 refugees and 39 non-refugees in the United Kingdom, who completed the task alongside the Impact of Event Scale–Revised (...

Machine learning and big data in finance*

Machine learning (ML) and the proliferation of large, granular, and unstructured data are reshaping how financial questions are posed and answered. Methods that relax the linearity, low dimensionality, and rigid distributional assumptions of classical econometrics are now applied...

Menstrual health as an occupational equity issue in high-stress industries: A narrative review

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Contesting care, navigating paradoxes: a thematic reflexive analysis of eating disorders advocates voices

Abstract Eating disorders (EDs) are a growing public health concern in the United States, yet advocacy for improved treatment and awareness remains underexplored in academic research. While advocacy movements in fields such as HIV/AIDS or breast cancer have received sustained att...

BOXBOX: Evaluating Large Language Models on Sequential Race-Strategy Decisions.

Large language models are increasingly proposed asdecision-makers in sequential, high-stakes settings, yet evaluatingtheir decision quality is difficult: benchmarks risk contaminationfrom training data, and the quality of a real decision is hardto score objectively. We introduce...

BOXBOX: Evaluating Large Language Models on Sequential Race-Strategy Decisions.

Large language models are increasingly proposed asdecision-makers in sequential, high-stakes settings, yet evaluatingtheir decision quality is difficult: benchmarks risk contaminationfrom training data, and the quality of a real decision is hardto score objectively. We introduce...

Reinforcement Technologies in Flexible Composite Pipes: Engineering principles, reinforcement architectures and application-based selection

Flexible composite pipes (FCPs) are increasingly used across energy and industrial applications, where their corrosion resistance, low weight, spoolability and installation efficiency offer significant advantages over conventional metallic pipeline systems. Central to their struc...

Reinforcement Technologies in Flexible Composite Pipes: Engineering principles, reinforcement architectures and application-based selection

Flexible composite pipes (FCPs) are increasingly used across energy and industrial applications, where their corrosion resistance, low weight, spoolability and installation efficiency offer significant advantages over conventional metallic pipeline systems. Central to their struc...

Explainable AI for Retail Futures & Options Risk Classification: An Applied Case Study Using Real NSE Data

This paper presents an applied case study in which a Random Forest classifier is trained on real NSE Futures & Options data to flag option contracts as high-risk or low-risk, using four established risk dimensions — implied volatility, leverage, days to expiry, and liquidity - wi...

Aphasia treatment research: a decision-making tool to guide the design of phased trials from the Collaboration of Aphasia Trialists (CATs) trials for aphasia panel

Background Systematic reviews of randomised controlled trials with meta-analyses indicate that speech and language therapy for aphasia after stroke is effective in improving communication. However, high-quality evidence to identify an intervention’s target population (who), regim...