Saliva diagnostics have become increasingly popular due to their non-invasive nature and patient-friendly collection process. Various collection methods are available, yet these are not always well standardized for either quantitative or qualitative analysis. In line, the objective of this study was …

Introduction: Digital technologies , such as big AI and cloud computing are driving digital transformation (DT) in organizations. The World Economic Forum ( reports that over 75% of organizations plan to adopt these technologies within five years, leading to a skills disruption as employees lack the …

Objectives: The Toddler Oral Health Intervention (TOHI) was launched in 2017 to promote oral health prevention at well-baby clinics, with a focus on parents with chil- dren aged 6–48 months. This study aims to evaluate the integrity of motivational in- terviewing (MI) as one of the core intervention …

This article offers an overview of 94 scientific studies (published between 2006 and 2022) to examine how young people (ages 10–36) define, consume, and evaluate news. Research on news and youth has exploded over the past decades, but what can we conclude from it, and how should journalism scholars move …

The experience of living and working on intellectual projects in Africa often brings forth a sense of despair. For individuals educated in Western biased education systems, a constant struggle persists within their minds, questioning which perspective to adopt and how to evaluate different situations. …

Urban commons is presented as a challenge of collaborative governance. This study delivers a normative perspective to analyse and evaluate processes and outcomes of the governance of urban commons. It demonstrates the development and application of the perspective in action research on Amsterdam’s Zero …

For people with early-dementia (PwD), it can be challenging to remember to eat and drink regularly and maintain a healthy independent living. Existing intelligent home technologies primarily focus on activity recognition but lack adaptive support. This research addresses this gap by developing an AI …

Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …

We designed a wine recommendation robot and deployed it in a small supermarket. In a study aimed to evaluate our design we found that people with no intent to buy wine were interacting with the robot rather than the intended audience of wine-buying customers. Behavioural data, moreover, suggests a very …

Background: Recently, research focus has shifted to the combination of all 24-h movement behaviors (physical activity, sedentary behavior and sleep) instead of each behavior separately. Yet, no reliable and valid proxy-report tools exist to assess all these behaviors in 0–4-year-old children. By involving …