This thesis investigates the development of internal shear stresses in stiffened-core deep composite pile foundations, with particular focus on the FUNDEX Combi Pile system. These piles are widely used in urban environments due to their vibration-free installation and ability to perform under challenging …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

Accurate and reliable decision-making in the criminal justice system depends on accurate expert reporting and on the correct interpretation of evidence by the judges, prosecutors, and defense lawyers. The present study aims to gain insight into the judiciary's capability to assess the accuracy and reliability …

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. …

INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine …

The rapid advancement of Generative AI (GenAI), particularly large language models (LLMs), has significantly reshaped how individuals and organizations engage in decision-making. From customer service and education to strategic planning and design, these technologies are no longer limited to providing …

The increasing interest in Aronia melanocarpa berries for their antioxidant properties sets the necessity to define sustainable strategies to valorize the by-products. This study investigates the use of supercritical carbon dioxide (scCO2) extraction, with and without ethanol as a co-solvent, for recovering …