Introduction: The optimal pre-participation screening strategy to identify athletes at risk for exercise-induced cardiovascular events is unknown. We therefore aimed to compare the American College of Sports Medicine (ACSM) and European Society of Cardiology (ESC) pre-participation screening strategies …

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …

Shipowners need to prepare for low-emission fuel alternatives to meet the IMO 2050 goals. This is a complex problem due to conflicting objectives and a high degree of uncertainty. To help navigate this problem, this paper investigates how methods that take uncertainty into account, like robust optimization …

(1) Background: Chemoradiotherapy (CRT) for head and neck cancer (HNC) is associated with severe toxicity resulting in fatigue and weight loss, including loss of skeletal muscle mass. Exercise interventions might positively affect physical fitness and quality of life. Sufficient adherence and compliance …

In this report, the researcher details the development of a dynamic weather system with a day and night cycle, seamlessly integrating it into an existing Virtual Reality (VR) application crafted by Indietopia for a local museum. To begin, the researcher delved into an exploration of various research …

In order to optimize collaboration between Speech and Language Therapists (SLTs) and parents of children with Developmental Language Disorders (DLD), our aim was to study what is needed for SLTs to transition from the parent-as-therapist aide model to the FCC model and optimal collaborate with parents. …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

The ever-increasing electrification of society has been a cause of utility grid issues in many regions around the world. With the increased adoption of electric vehicles (EVs) in the Netherlands, many new charge points (CPs) are required. A common installation practice of CPs is to group multiple CPs …