Abstract Machine Learning algorithms produce accurate classifiers when trained on large,
balanced datasets. However, it is generally expensive to acquire labeled data, while …

Among the most compelling applications of Augmented Reality are spatially registered tutorials.
The effort of creating such instructions remains one of the obstacles precluding a wider …

Exams are an integral assessment component in CS1 courses. However, little research exists
concerning the impact of the exam format on student performance. To address this deficit, …

Dyslipidemia is a significant threat to public health worldwide and the identification of its
pathogenic mechanisms, as well as novel lipid-lowering agents, are warranted. Magnesium (Mg…

Elderly patients are a special category of patients, due to the physiological changes induced
by age, the great number of comorbidities and drug treatment and last, but not least, to the …

Patients with type 2 diabetes exhibit higher cardiovascular risk than normal individuals.
Optimal blood glucose levels are rarely achieved in diabetic patients. Glucagon‑like peptide‑1 …

In the last 50 years, several clinical and epidemiological studies during have shown that
increased levels of low-density lipoprotein cholesterol (LDLc) are associated with the …

Background and objectives: Self-medication is a global phenomenon in both developed
and emerging countries. At present, data regarding the practice, patterns, and factors …

Non-alcoholic fatty liver disease (NAFLD) has a growing prevalence in recent years. Its
association with cardiovascular disease has been intensively studied, and certain correlations …

Introduction Telemedicine has emerged as a critical technology to mitigate SARS-CoV-2
infection. We aim in this work to explore how general practitioners (GPs) perceived the use of …