During the COVID-19—related lockdowns (2020–2022), mobility patterns and charging needs were substantially affected. Policies such as work from home, lockdowns, and curfews reduced traffic and commuting significantly. This global pandemic may have also substantially changed mobility patterns on the long …

Subcutaneous emphysema, pneumothorax and pneumomediastinum are well-known complications of invasive ventilation in patients with acute hypoxemic respiratory failure. We determined the incidences of air leaks that were visible on available chest images in a cohort of critically ill patients with acute …

The project X-TEAM D2D (extended ATM for door-to-door travel) has been funded by SESAR JU in the framework of the research activities devoted to the investigation of integration of Air Traffic Management (ATM) and aviation into a wider transport system able to support the implementation of the door-to-door …

The aim of the present study was to investigate if the presence of anterior cruciate ligament (ACL) injury risk factors depicted in the laboratory would reflect at-risk patterns in football-specific field data. Twenty-four female footballers (14.9 ± 0.9 year) performed unanticipated cutting maneuvers …

This special edition on coexisting with reptiles (guest edited by Dr Simon Pooley) highlights our deep cultural connection with biodiversity, including the scaly, slithering kind. Moving away from Eurocentric narratives of coexistence, the articles in this issue acknowledge the tolerance of local people …

In januari 2023 verscheen in Didactief een special over het lectoraat De Pedagogische Opdracht van Hogeschool InHolland. Met bijdragen van onder andere lector Mascha Enthoven, lerarenopleider en onderzoeker Theo van den Bogaart, en docent en onderzoeker Marietje Beemsterboer.

Introduction to the Special Issue of the Journal on Translation and Interpreting Studies 17:3 (2022)

Introduction: Acker's description of the ideal worker as “unencumbered with caring responsibilities and ready to devote his life to his job” (Acker, 2006a, p. 69) becomes haunting when considered in the context of a global health crisis. When, on a global scale, human life became more vulnerable, care …

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 …