Investigation of the use of power ultrasound to improve manufacturing processes in fluid phase See

Advanced manufacturing techniques play a crucial role in ensuring the efficiency and reliabil-ity of electric vehicle (EV) battery packs. In particular, the assembly of busbars and connect-ors—key components for current distribution—relies on joining dissimilar metals like copper and Aluminum. Alumini...

System Sizing of Hybrid Renewable Systems Under Inverter and Contracted Grid Power Constraints with Flexible Load Integration See

Island microgrids face significant challenges, including seasonal load variations, weak interconnections, and high demand charges leading to oversized energy systems. This paper introduces a novel bi-level optimization approach, combining a genetic algorithm for capacity sizing and a rolling-horizon mixed-...

A Mixed-Methods Investigation of a Novel, Co-developed Music-and-Movement Intervention for People with Parkinson’s See

Introduction: Research in Parkinson’s rehabilitation suggests that combining music and movement can improve both motor and non-motor symptoms for people with Parkinson's (PwP). Using an inclusive, participatory medicine approach, we co-developed a 12-week group intervention (<i>Songlines for Parkinson...

Effects of auditory stimuli during exhaustive exercise on cerebral oxygenation and psychophysical responses See

Asynchronous music has been commonly used to reduce perceived exertion and render the exercise experience more pleasant. Research has indicated that in-task asynchronous music can reallocate an individual’s attentional focus to task-unrelated signals and increase the use of dissociative thoughts. ...

A Bayesian Network Analysis of Exercise Experiences With Audio‐Visual Stimuli See

Audio-visual stimuli are widely used to enhance the exercise experience, yet the technological devices used to display these stimuli have received limited research attention. The aim of the present investigation was to apply a Bayesian Network (BN) to formally model and quantify the...

An Adaptive-Intelligent Distance-Aware Approach for Dynamic Network Connectivity See

Optimizing network connectivity characterizes a major challenge in different applications, e.g. IoT, where the efficiency of connectivity under constraints like distance and adaptability is essential. The key objective of the Minimum Spanning Tree (MST) methods is to construct a subset of&#...

Evaluating Patient and Public Involvement and Engagement Activity Within the 3DPiPPIn Trial: A Qualitative Exploration of Contributors' Perspectives on Their Impact See

Introduction: Patient and Public Involvement and Engagement (PPIE) is now considered essential to the delivery of high-quality, patient-centred and translational research. However, despite widespread recognition of this, PPIE remains poorly understood, inconsistently utilised and inadequately reported. &...

Synuclein Disorder‐Related Genetic Determinants of Mild Behavioural Impairment in a Pre‐Clinical Community Cohort See

Background: The GBA variant confers increased risk of synuclein disorders but it is unclear what impact it has in pre-clinical groups. This study aimed to identify early psychiatric and cognitive manifestations amongst pre-clinical GBA carriers in a community cohort. Meth...

Neuropsychiatric symptoms and their impact on cognitive functioning in patients with Parkinson's disease: A systematic review of the literature See

Parkinson's disease (PD) is a progressive, neurodegenerative disorder that affects the dopaminergic system and is characterized by motor and nonmotor symptoms, which affect the quality of life. Among these, neuropsychiatric symptoms (NPS), such as depression, hallucinations, and apathy, are common...