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

Background Systolic murmurs are common in adults without significant valvular heart disease (VHD) and are more prevalent in ...

There are uncertainties regarding long‐term outcomes of low‐flow, low‐gradient (LFLG) severe aortic stenosis (AS) following transcatheter aortic valve replacement (TAVR). This study investigates ...

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 ...

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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 ...

This paper analyses various methods of ecological ordering that are often used in modelling the relationship between vegetation and habitat. The results of direct gradient ordination by Canonical ...

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Choices between immediate smaller reward and long-term larger reward are referred to as intertemporal choice. Numerous functional magnetic resonance imaging (fMRI) studies have investigated the neural ...

The discovery of functional gradients introduce a new perspective in understanding the cortical spectrum of intrinsic dynamics, as it captures major axes of functional connectivity in low-dimensional ...