Objectives: People with intellectual disabilities are more vulnerable to and experience mental health concerns at a higher incidence than their peers without intellectual disabilities. This may be directly related to the aetiology of their intellectual disability but also occur because of negative psychological …

Background and purpose: Many older patients with cancer have their family members, often their adult children, involved in a process of treatment decision making. Despite the growing awareness that family members can facilitate a process of shared decision making (SDM), literature about SDM pays little …

This paper presents a report of some of the activities of the International Energy Agency's (IEA) Wind TCP Task 39. By identifying best practices in an international collaboration, Task 39 hopes to provide the scientific evidence to inform improved regulations and standards, increasing the effectiveness …

Industry 4.0 has placed an emphasis on real-time decision making in the execution of systems, such as semiconductor manufacturing. This article will evaluate a scheduling methodology called Evolutionary Learning Based Simulation Optimization (ELBSO) using data generated by a Manufacturing Execution System …

There appears to be some hesitation within the forensic biology community to formally evaluate and report on findings given activity level propositions. This hesitance in part stems from concerns about the lack of relevant data on the dynamics of biological traces and doubt about the relevance of such …

Het UPPScAle-partnerschap heeft tot doel de bachelorcurricula voor pijnwetenschappen in de bachelor fysiotherapie in heel Europa te innoveren, verbeteren en standaardiseren. Er is een dynamische Open Education Source ontwikkeld om academici te ondersteunen met behulp van een verscheidenheid aan onderwijs- …

In the past few years, the EU has shown a growing commitment to address the rapid transformations brought about by the latest Artificial Intelligence (AI) developments by increasing efforts in AI regulation. Nevertheless, despite the growing body of technical knowledge and progress, the governance of …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …