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All Outputs (467)

The impact of fashion clothing involvement and self-objectification on women’s mental health: A cross-sectional study among Brazilian women (2025)
Journal Article

Brazilian women experience a high level of appearance pressures, which are associated with risky health behaviours and adverse outcomes. Yet, the involvement with fashion clothing, a central aspect of appearance-related practices, has not undergone e... Read More about The impact of fashion clothing involvement and self-objectification on women’s mental health: A cross-sectional study among Brazilian women.

Explainable machine learning-based analysis for identifying risk factors of chronic obstructive pulmonary disease (2025)
Presentation / Conference Contribution

Chronic Obstructive Pulmonary Disease (COPD) is a major global health issue. Early detection and identification of risk factors are critical for effective management. This study applies explainable machine learning techniques using LIME and SHAP to a... Read More about Explainable machine learning-based analysis for identifying risk factors of chronic obstructive pulmonary disease.

TEMSET-24K: Densely annotated dataset for indexing multipart endoscopic videos using surgical timeline segmentation (2025)
Journal Article

Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. Despite its significance, current video analytics rely on manual indexing, a time-cons... Read More about TEMSET-24K: Densely annotated dataset for indexing multipart endoscopic videos using surgical timeline segmentation.

Exploring the feasibility of AI-enhanced biophilic design for educational spaces: A preliminary study (2025)
Presentation / Conference Contribution

This study explores the feasibility of AI-based image generation methods for biophilic design in educational space settings. A Prompt Optimization Framework and a Prompt Generation Engine were developed to enhance the quality of generated biophilic e... Read More about Exploring the feasibility of AI-enhanced biophilic design for educational spaces: A preliminary study.

Metaverse-edge cloud assisted glucose monitoring with nutrition and activities in interoperate transfer learning (2025)
Presentation / Conference Contribution

Nowadays, the prevalence of type 2 diabetes in humans is steadily increasing due to dietary habits and sedentary lifestyles. As a result, high-carbohydrate diets have caused imbalanced glucose levels, affecting people with diabetes since medieval tim... Read More about Metaverse-edge cloud assisted glucose monitoring with nutrition and activities in interoperate transfer learning.

Scale-dependent analysis of structure and electrical activity in kombucha mats and proteinoid-actin assemblies (2025)
Journal Article

This study examines, in detail, the scale-dependent properties and activity patterns in two systems: kombucha cultures and proteinoid-actin networks. These systems have complex features. Our analysis shows that their self-similarity may not be a true... Read More about Scale-dependent analysis of structure and electrical activity in kombucha mats and proteinoid-actin assemblies.

Differences in disease characteristics and outcomes as determined by biological sex in a large UK IPF population: Analysis from the British Thoracic Society, Interstitial Lung Disease (BTS-ILD) registry data (2025)
Journal Article

Abstract
Introduction
Growing evidence suggests that biological sex influences the incidence, presentation, diagnosis and outcomes of many lung diseases. Understanding these differences is the first step towards precision medicine to improve patie... Read More about Differences in disease characteristics and outcomes as determined by biological sex in a large UK IPF population: Analysis from the British Thoracic Society, Interstitial Lung Disease (BTS-ILD) registry data.

Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators (2025)
Journal Article

The characteristics of soft robots make them better candidates for applications such as healthcare, due to their enhanced safety, adaptability and more natural human-robot interaction compared to traditional counterparts. Different actuating systems... Read More about Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators.

Evaluating the effectiveness of a Roblox video game (Super U Story) in improving body image among children and adolescents in the United States: Randomized controlled trial (2025)
Journal Article

Body dissatisfaction is a global public health issue negatively impacting young people's mental and physical well-being, underscoring an urgent need to develop early interventions. Emerging evidence suggests that microinterventions are acceptable and... Read More about Evaluating the effectiveness of a Roblox video game (Super U Story) in improving body image among children and adolescents in the United States: Randomized controlled trial.

Development and clinical interpretation of an explainable AI model for predicting patient pathways in the emergency department: A retrospective study (2025)
Journal Article

Background: Overcrowded emergency departments (EDs) create significant challenges for patient management and hospital efficiency. In response, Amiens Picardy University Hospital (APUH) developed the “Prediction of the Patient Pathway in the Emergency... Read More about Development and clinical interpretation of an explainable AI model for predicting patient pathways in the emergency department: A retrospective study.

Transforming programming education: The effectiveness of motivational scenario-based design in serious games (2025)
Journal Article

Programming education faces persistent challenges, particularly in sustaining learner engagement and motivation while teaching abstract concepts like algorithms, data structures, and problem-solving skills. Traditional methods, focused heavily on the... Read More about Transforming programming education: The effectiveness of motivational scenario-based design in serious games.

Colours-of-the-Wind (COLD): A novel framework for image-based air quality prediction using deep learning and spatial-temporal analytics (2025)
Thesis

Urban air pollution is a critical global issue that negatively affects public health and the environment. Traditional air quality monitoring relies on physical monitoring stations, which are limited in geographic coverage and expensive to maintain. T... Read More about Colours-of-the-Wind (COLD): A novel framework for image-based air quality prediction using deep learning and spatial-temporal analytics.