In this manuscript, the authors investigate programmed DNA elimination (PDE) across nematodes using a large-scale cytological approach. This work is potentially significant because it expands PDE ...
Abstract: Uncertainties for conventional nonparametric magnetotelluric (MT) impedance tensor estimates are typically quantified by analytic and asymptotic confidence bounds. Here, we consider MT ...
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...
Patients with chronic limb‐threatening ischemia (CLTI) face a high long‐term mortality risk. Identifying novel mortality predictors and risk profiles would enable individual health care plan design ...
We retrospectively studied all the first-onset stroke patients with one-side hemiplegia, then 36 patients that met the criteria were included. The patients’ data concerning a wide spectrum of ...
Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...
A deep learning (DL) model learns a function relating a set of input variables with a set of target variables. While the representation of this function in form of the DL model often lacks ...
Decision trees are popular machine learning models due to their simplicity and ease of interpretation. Node splitting is essential for decision trees to effectively learn from data attributes. Gini ...
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