Heart murmurs are sounds made by rapid blood flow in the heart.Abnormal heart murmurs can be a sign of serious heart conditions such as arrhythmia and cardiovascular diseases.Therefore, heart murmur classification is crucial for early detection of such conditions.To this end, we study the heart murmur classification problem training selected convol
In this paper we want to, on the one hand, translate the Fireplaces Common Declaration of the Holy Father Francis and Ecumenical Patriarch Bartholomew I, signed 30 November 2014, and, on the other, to provide a brief theological interpretation.In the first chapter we have translated document in the Croatian language.In the second chapter we have in
Human cytomegalovirus (HCMV) is a ubiquitous human pathogen that can cause severe disease in immunocompromised individuals, transplant recipients, and to the developing foetus during pregnancy.There is no protective vaccine currently available, and with only a limited number of antiviral drug options, HIGH WHEY CHOCOLATE resistant strains are const
We propose a simple anomaly detection method that is applicable to unlabeled time series data and is sufficiently tractable, even for non-technical entities, by using the density ratio estimation based on the state space model.Our detection rule is based on the ratio of log-likelihoods estimated by the dynamic linear model, i.e.the ratio of log-lik
Objectives To examine i) the use of mobile apps and fitness trackers in adults during the COVID-19 pandemic to support health behaviors; ii) the use of COVID-19 apps; iii) associations between using mobile apps and fitness trackers, and health behaviors; iv) differences in usage amongst population subgroups.Methods An online cross-sectional survey