Objective The left atrial stiffness index (LASI) has been proven to be a promising marker for assessing left atrial (LA) and ...
This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...
Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...
Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...
Abstract: The metal resonant gyro is characterized by small size, low cost, and strong overload resistance, and shows broad application prospects in the field of inertial navigation. Currently, ...
Introduction: Growth hormone stimulation tests are crucial in diagnosing growth hormone deficiency (GHD) in children; however, their limited reliability and inconsistent thresholds pose diagnostic ...
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...