Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram.

This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify "cardiospikes" present in the ECG data of individuals who have experienced a COVID-19 infection. With a test sample, we achieve an 87 percent accuracy in detecting these cardiospikes.

Temperature- and Field-Induced Transformation of the Magnetic State in CoGeBO.

A tetravalent-substituted cobalt ludwigite CoGeBO has been synthesized using the flux method. The compound undergoes two magnetic transitions: a long-range antiferromagnetic transition at = 84 K and a metamagnetic one at = 36 K. The sample-oriented magnetization measurements revealed a fully compensated magnetic moment along the - and -axes and an uncompensated one along the -axis leading to high uniaxial anisotropy.