Over the last five years, I have found myself circling around four key concepts: Performance. Philosophy. Animals. And Equality. And I have found myself thinking in and with circles. It began with the various references to circles we can find in the philosophy of Henri Bergson - in his idea of the field …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …

Food insecurity, highlighted by the COVID-19 pandemic, demands robust solutions, including digital technologies. In St. Lucia, producers show willingness to adopt basic tools like WhatsApp but face barriers such as insufficient knowledge, lack of support, financial constraints, and limited availability. …

ABSTRACT Background: Psychiatric-mental health nurse practitioners (PMHNPs) in the Netherlands have been allowed to perform the role of coordinating practitioner (CP) since 2018. This role is reserved for mental health care specialists who are trained and qualified at the master’s degree level. Earlier …

Over time memories are believed to undergo a time-dependent reorganization in the brain through a process known as systems consolidation during which they become less dependent on the hippocampus and more dependent on the neocortical structures. This reorganization is accompanied by a generalization …

The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable …

This thesis project presents a novel approach for detecting corrosion using drone-based surveillance systems by modifying the YOLOv5 object detection model and deploying it to a VOXL 2 flight controller for real-time image processing. The central goal is to enhance the model's accuracy in detecting corrosion …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

Background: Given the demands posed by excessive practice quantities in modern dance, physical and mental health can be compromised. Therefore, there is a need to consider how quality of practice may be improved and possibly even reduce training times. Sports literature has shown that instructions and …

Background: Training load is typically described in terms of internal and external load. Investigating the coupling of internal and external training load is relevant to many sports. Here, continuous kernel-density estimation (KDE) may be a valuable tool to capture and visualize this coupling. Aim: Using …