The purpose of this research is to validate and optimize the synthesis of the natively linked α-UbADPr & β-UbADPr (19α,β) on arginine 42 to further study in the enzymes of Legionella Pneumophilia. In the synthesis of UbADPr the sub goal was to synthesize as much as possible of two molecules (building …

The purpose of this study was to gain insight into change in attitudes held by students in oral healthcare about interprofessional learning and collaboration after one year of work in a student-run dental clinic (SRDC). Third- and fourth-year bachelor of dental hygiene students (n = 221) and first- and …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

BACKGROUND: Clinical reasoning is a crucial task within the Emergency Medical Services (EMS) care process. Both contextual and cognitive factors make the task susceptible to errors. Understanding the EMS care process' structure could help identify and address issues that interfere with clinical reasoning. …

Abstract: This case study examines the use of an eHealth application for improving preoperative rehabilitation (prehabilitation). We have analysed healthcare professionals' motivators and drivers for adopting eHealth for a surgical procedure at academic medical facilities. The research focused on when …

Kombucha is a drink made from fermented sweetened tea. Kombucha has a sweet and sour taste, it is slightly sparkling and in recent years, the drink has become increasingly popular in the western world. This surge in popularity is in part due to the supposed health benefits. The exact chemical composition …

Augmented Play Spaces (APS) are (semi-) public environments where playful interaction isfacilitated by enriching the existing environment with interactive technology. APS canpotentially facilitate social interaction and physical activity in (semi-)public environments. Incontrolled settings APS show promising …

The Nedap Healthcare business unit is developing a mobile wound recognition solution named Vesalius using Kotlin, Python and tools / libraries such as Anaconda and TensorFlow Lite in order to utilize machine learning to determine the boundary of a wound as bitmap based on its picture.This solution is …

Introduction: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. The aim of this paper is to modify the original patient version of the RMIC-MT for …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of …