Outputs (462)

Accepting your Body after Cancer (ABC), a group-based online intervention for women treated for breast cancer: Study protocol for a feasibility randomised controlled trial (2025)
Journal Article

Introduction Breast cancer is the most common cancer among women worldwide. While increasing numbers of women are living beyond breast cancer, treatment-related body image concerns are common and associated with adverse consequences. Nonetheless, rig... Read More about Accepting your Body after Cancer (ABC), a group-based online intervention for women treated for breast cancer: Study protocol for a feasibility randomised controlled trial.

Serotonergic mechanisms in proteinoid-based protocells (2025)
Journal Article

This study examines the effects of incorporating serotonin (5-HT) into proteinoid microspheres. It looks at the microspheres' structure and electrochemical properties. Proteinoid-serotonin assemblies have better symmetry and membrane organization tha... Read More about Serotonergic mechanisms in proteinoid-based protocells.

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.

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.

Edge intelligence: A deep distilled model for wearables to enable proactive eldercare (2025)
Journal Article

Wearable devices are becoming affordable in our society to provide services from simple fitness tracking to the detection of heartbeat disorders. In the case of elderly populations, these devices have great potential to enable proactive eldercare, wh... Read More about Edge intelligence: A deep distilled model for wearables to enable proactive eldercare.

On oscillations in the external electrical potential of sea urchins (2025)
Journal Article

Sea urchins display complex bioelectric activity patterns, even with their decentralized nervous system. Electrophysiological recordings showed distinct spiking patterns. The baseline potential was about 8.80 mV. It had transient spikes with amplitud... Read More about On oscillations in the external electrical potential of sea urchins.

Chondroitin sulfate and proteinoids in neuron models (2025)
Journal Article

This study examines the relationship between chondroitin sulfate, proteinoids, and computational neuron models, with a specific emphasis on the Izhikevich neuron model. We investigate the effect of chondroitin sulfate-proteinoid complexes on the beha... Read More about Chondroitin sulfate and proteinoids in neuron models.

Domain-specific implications of error-type metrics in risk-based software fault prediction (2025)
Journal Article

In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on the varyi... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases (2025)
Presentation / Conference Contribution

In precision medicine, predicting the onset and progression of autoimmune and neurodegenerative diseases poses a multifaceted challenge due to their intricate molecular complexities. Traditional diagnostic methods, while foundational, often fall shor... Read More about Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases.