This study focuses on the representativeness heuristic effects of healthy food labels on consumer choice of healthy food. A within-subject experiment was arranged to identify whether consumers rely on representativeness ...

This study explores fact‐checking practices in Ethiopia and Mali in times of conflict and in a context marked by increasing restrictions to press freedom. The objective is to understand how, in this hostile environment, ...

Several applications involve the automatic analysis of hand images such as biometry, digit-ratio measurements, and gesture recognition. A key problem common to these applications is the separation of hands from the background. ...

In Sweden, children and adolescents with intellectual disability in special residences often have complex support needs. In this study, co-production refers to when and how staff in special residences and children and ...

Recent years have witnessed a surge in online food provisioning services spanning from online mass retail to alternative food networks with digital sales platforms. Hence, enhancing our understanding of consumer preferences ...

Background Knowledge of co-occurring mental disorders (termed ‘dual diagnosis’) among patients receiving opioid agonist treatment (OAT) is scarce. This study aimed (1) to estimate the prevalence and structure of dual ...

Background: Although older people often have challenges with fractures and dizziness/balance problems, knowledge concerning the impact of reablement of people with these conditions is limited. Aim: To explore functional ...

Writing is a central yet under-researched activity in teacher education classrooms. In this study, we explore in-class writing activities used by a multidisciplinary group of teacher educators at one teacher education ...

We address ECG data classification, using methods from explainable artificial intelligence (XAI). In particular, we focus on the extended performance of the ST-CNN-5 model compared to established mod- els. The model ...

Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...