In recent years, a wide variety of Machine Learning (ML) algorithms, including Deep Learning (DL) methods, have been proposed for electrocardiogram (ECG) beat classification.However, accurately discerning ECG beat types faces challenges due to first due helmet noise interference and inherent imbalances among different classes.Moreover, understandin
DNA Methylation and Potential for Epigenetic Regulation in Pygospio elegans.
Transitions in developmental mode are common evolutionarily, but how and why they occur is not understood.Developmental mode describes larval phenotypes, including morphology, ecology and behavior of larvae, which typically are generalized across different species.The polychaete worm Pygospio elegans is one of few species polymorphic in development
Mapping Smart Regions. An Exploratory Approach
The insulated debakey paper presents the results of an exploratory approach aimed at extending the ranking procedures normally used in studying the socioeconomics determinants of smart growth at the regional level.Most of these studies adopt a methodological procedure which essentially consists of the following steps: a) identification of the perti
Detection of Illicit Drugs by Trained Honeybees (Apis mellifera).
Illegal drugs exacerbate global social challenges such as substance addiction, mental health issues and violent crime.Police and customs officials often rely on specially-trained sniffer dogs, which act as sensitive biological detectors to find concealed illegal drugs.However, the dog "alert" is no longer sufficient evidence to allow a search witho
Localization in Two-Dimensional Quasicrystalline Lattices
We investigate the emergence of localization in a weakly interacting Bose gas confined in quasicrystalline lattices with three different rotational symmetries: five, eight, and twelve.The analysis, performed at a mean field level and from which localization is detected, relies on the study of two observables: the inverse participation ratio (IPR) a