Accurate and reliable decision-making in the criminal justice system depends on accurate expert reporting and on the correct interpretation of evidence by the judges, prosecutors, and defense lawyers. The present study aims to gain insight into the judiciary's capability to assess the accuracy and reliability …

This presentation explores AI literacy as a critical and situated dimension of Artistic Research (AR), drawing from recent investigation conducted with Master’s students in a discursive artistic AI course at Frank Mohr Institute. Using a structured questionnaire as both a pedagogical and research tool, …

Introduction: Several barriers, such as lack of time, knowledge and support, hinder clinicians from providing an individually tailored physical activity (PA) prescription and referral to their patients. As a result, “exercise is medicine” (E = M) is not systematically implemented in clinical care today. …

Objective: In the context of a programme to improve people-centered care, launched by the Tanzanian Ministry of Health, an international project (HEALCARe) was initiated to enhance the health literacy (HL) and respectful compassionate care (RCC) competencies of Bachelor’s nursing and midwifery students. …

OBJECTIVE: To provide an overview of available strategies and tools that support physiotherapists to recognise patients with LHL and to adapt the physiotherapeutic communication during the diagnostic phase. METHODS: PubMed, Embase, CINAHL and PsycINFO were searched for publications appearing between …

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …

Study orientation tools are frequently grounded in the notion that achieving person-environment (PE) fit is key to academic success. Nevertheless, the literature reveals two notable gaps: the focus on predictive rather than explanatory role of PE fit within a broader set of variables, and its varying …

The energy transition requires a workforce equipped with both hard and soft skills. However, current training often emphasizes technical competencies, resulting in skill mismatches, particularly among professionals transitioning from fossil fuel sectors. To support a just and inclusive transition, boundary …

In this paper, we provide a concrete case study to better steer corporate reputation management in the light of recent proliferation of AI-generated product reviews. Firstly, we provide a systematic methodology for generating high quality AI-generated text reviews using pre-existing human written reviews …

The luxury real estate sector is a complex industry characterized by multiple factors. Hence, exclusivity, complex sales cycles, and, most importantly, the discerning expectations of high-net-worth individuals (HNWIs). Within Spain’s Costa del Sol, Drumelia Real Estate has established itself as a leading …