The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …

In their developmental model, Stodden et al. (2008) propose age- dependent relations between motor competence, physical activity, perceived motor competence, physical fitness, and weight status that can lead to a spiral of (dis)engagement. The goal of this study was to explore these relations in a large …

Background Hospital admissions are common in the last phase of life. However, palliative care and advance care planning (ACP) are provided late or not at all during hospital admission. Aim To provide insight into the perceptions of in-hospital healthcare professionals concerning current and ideal practice …

The number of Electric Vehicles (EVs) is expected to increase exponentially in the coming years. The growing presence of charging points generates a multitude of interactions between EV users, particularly in metropolitan areas where a charging infrastructure is largely part of the public domain. There …

In this paper, artificial intelligence tools are implemented in order to predict trajectory positions, as well as channel performance of an optical wireless communications link. Case studies for industrial scenarios are considered to this aim. In a first stage, system parameters are optimized using a …

A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations …

Background: Experienced assessors show good intra-rater reproducibility (within-session and between-session agreement and reliability) when using an algometer to determine pressure pain thresholds (PPT). However, it is unknown whether novice assessors perform equally well. This study aimed to determine …

Objectives: Health problems in patients with heritable connective tissue disorders (HCTD) are diverse and complex and might lead to lower physical activity (PA) and physical fitness (PF). This study aimed to investigate the PA and PF of children with heritable connective tissue disorders (HCTD). Methods: …

The complexity of analysing dynamical systems often lies in the difficulty to monitor each of their dynamic properties. In this article, we use qualitative models to present an exhaustive way of representing every possible state of a given system, and combine it with Bayesian networks to integrate quantitative …

The institutional adoption of learning analytics in the Netherlands is still low. This chapter presents a study on the challenges that Dutch higher educational institutions encounter when adopting learning analytics. The literature describes possible challenges regarding assets, data governance, data …