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All Outputs (143)

Film genre prediction and analysis using multimodal embeddings from large models: The case of noir (2025)
Journal Article

We used embeddings (numerical representations) from open-sourced language and image models to compare and contrast films in the “noir” and “neo-noir” genres with each other and with those in other genres, using as proxy sources the available plot sum... Read More about Film genre prediction and analysis using multimodal embeddings from large models: The case of noir.

A novel approach to document similarity retrieval using sentence transformers and vector databases (2025)
Presentation / Conference Contribution

This study introduces a novel method for document similarity retrieval, leveraging Sentence Transformers for efficient processing and Milvus for vector storage. The workflow starts by extracting text from crowd-sourced vector databases and segmenting... Read More about A novel approach to document similarity retrieval using sentence transformers and vector databases.

Making, knowing and seeing art: An exploration into the importance of art knowledge for teaching within a broad and rich primary school curriculum (2025)
Thesis

This thesis explores the importance of art knowledge for teaching within a broad and rich primary school curriculum. The research was conducted across an English city and surrounding area over a ten-month period, during the academic year of September... Read More about Making, knowing and seeing art: An exploration into the importance of art knowledge for teaching within a broad and rich primary school curriculum.

Total least squares algorithm for errors-in-variables systems: Iterative algorithm or two-step algorithm (2025)
Journal Article

The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the minimum eigenvalue of an augmented matrix. However, the TLS... Read More about Total least squares algorithm for errors-in-variables systems: Iterative algorithm or two-step algorithm.

Patient-reported outcomes 3- and 18-months after mastectomy and immediate prepectoral implant-based breast reconstruction in the UK Pre-BRA prospective multicentre cohort study (2025)
Journal Article

Introduction: Prepectoral techniques are becoming standard of care for implant-based breast reconstruction due to reduced impact on chest wall function and improved patient satisfaction. Evidence to support these benefits, however, is lacking. We rep... Read More about Patient-reported outcomes 3- and 18-months after mastectomy and immediate prepectoral implant-based breast reconstruction in the UK Pre-BRA prospective multicentre cohort study.

Printing glazes (2025)
Journal Article

This article documents the initial findings of my research into oil-based glazes and the potential for them to be combined with traditional wood engraving. In this project, funded by a UWE Bristol ‘RIS research grant’, I reworked traditional glazing... Read More about Printing glazes.

Exploring the ethical challenges of large language models in emergency medicine: A comparative international review (2025)
Presentation / Conference Contribution

Large Language Models (LLMs) hold promise for advancing Emergency Medicine by enhancing operational efficiency and supporting decision-making. This scoping review explores the ethical, legal, and global considerations influencing LLM deployment in em... Read More about Exploring the ethical challenges of large language models in emergency medicine: A comparative international review.