Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Department of Society, Human Development and Health, Harvard School of Public Health, Boston, USA Correspondence to: Dr S V Subramanian Department of Society, Human Development and Health, Harvard ...

Abstract: Learning a function from input and output data pairs is one of the most fundamental tasks in machine learning. In this work, we propose a generalization of the Canonical Polyadic ...

Abstract: A super-multivariate optimization algorithm is proposed to suppress the grating lobes (GLs) of non-uniform arrays. For position-only variable cases of any huge array, it is always difficult ...

Residual mitral regurgitation (rMR) ≤1+ has been associated with improved 1-year outcomes after mitral valve transcatheter edge-to-edge repair, regardless of the mean mitral pressure gradient (MPG).

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...

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This repository implements the core function of paper "Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments". Firstly, we generate the patterns ...

SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...

Ecological genomics approaches have informed us about the structure of genetic diversity in natural populations that might underlie patterns in trait variation. However, we still know surprisingly ...