Since the return of the grey wolf (Canis lupus) in the Netherlands in 2015, much research has been done on the ecology and distribution of the species. This has led to a dietary study using hair- and DNA-sampling of wolf scats, and preliminary analyses of DNA in wolf scats showed that DNA from non-prey, …

Objective: The aim of this study is to do research into the most effective training method in relation to injury prevention in alpine skiing. Results: After performing the search and data selection, 6 articles were included in this study. The collected data from these studies was divided into four different …

Location data is a sensitive data type that is collected on a wide scale and is easily misused as it can reveal sensitive personal information. Popular and upcoming technologies like AI and IoT devices can play a meaningful role in this as they become more prevalent and integrated into our daily-use …

Knowledge Building (KB) as a concept of social and societal knowledge production is meant to get away from the ‘mind-as-container’-based folk theory that posits learning as knowledge acquisition testedby reproduction quizzes (Bereiter, 2002). However, such a transitionmeans thinking differently to the …

This study used historical data from a Park & Ride facility in Amsterdam to build a validated computer (Python) model to optimize battery and grid connection sizing. The case study modelled is equipped with 8 EV chargers (16 connections), an on-site supplementary battery, and a limited capacity grid …

The world’s population is consistently increasing and as such is the demand for food. Current industrial farming methods pollute the environment and are unsustainable on multiple levels. To be able to feed future populations it is necessary to look for new, efficient, and more sustainable ways to feed …

Species rich grasslands provide ecosystem services such as floral and faunal diversity, livestock forage, carbon sequestration and water regulation. However, the best combinations of sward diversity and management intensity to achieve the above-mentioned ecosystem services are not fully known. To address …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

AIM: This study aimed to examine the extent, range and variety of research in Europe describing healthcare interventions for older people with dementia (PwD) and family caregivers. METHODS: This was a scoping review and followed the PRISMA Scoping Review guideline. MEDLINE, CINAHL and Cochrane library …

Objective This study investigates the feasibility of delivering inspiratory muscle training as part of the physical therapy treatment for patients with post-COVID dyspnoea. Design Mixed-methods pilot study. Subjects/patients Patients with complaints of dyspnoea after COVID-19 infection and their physical …