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 Sweatshirt to noise interference and inherent imbalances among different classes.Moreover, understanding math
Sanaz Dehbashi,1 Hamed Tahmasebi,2 Mohammad Yousef Alikhani,1 Fariba Keramat,3 Mohammad Reza Arabestani1,4 1Microbiology Department, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran; 2Microbiology Department, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran; 3Brucellosis Research Center, Faculty o
Summary: The transitions from developing to adult quiescent and activated neural stem cells (NSCs) are not well understood.Here, we use single-cell transcriptional profiling and lineage tracing to characterize these transitions in the murine forebrain.We show that the two forebrain NSC parental populations, embryonic cortex and ganglionic eminence
We enlarge the dictionary between matrix models for long linear quivers preserving eight supercharges in $d=5$ and $d=3$ and Cereals type IIB supergravity backgrounds with AdS$_{d+1}$ factors.We introduce mass deformations of the field theory that break the quiver into a collection of interacting linear quivers, which are decoupled at the end of th