Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...

In aerospace composite structure design, engineers need to clearly understand and evaluate the tradeoffs between total weight and design for manufacturability (DFM). For example, composite structures ...

Abstract: Graphic designs are pervasive in our daily lives and widely used to communicate information hierarchically to humans. To achieve this, the layout plays an essential role in guiding readers ...

Relay catalysis connects multiple catalytic reactions so that the product of one step becomes the reactant of the next. This approach can improve efficiency, increase selectivity, and reduce energy ...

Are you ready to go beyond those traditional needlepoint kits and create something truly your own? We showed you how to unlock the process of designing your very own large format needlepoint pattern, ...

ABSTRACT: This paper delves into the baseline design under the baseline parameterization model in experimental design, focusing on the relationship between the K -aberration criterion and the word ...

A factorial design investigating solder paste volume under varied squeegee pressure and squeegee types. It is generally agreed that, on average, 40% to 60% of the defects generated by a surface mount ...

Cedric Pobel, MD, discusses the design and objectives of the phase 3 PEACE-1 trial for patients with de novo metastatic castration-sensitive prostate cancer. Cedric Pobel, MD, medical oncologist, PhD ...

Based on various experimental design methodologies (e.g., full factorial, central composite design, and Box-Behnken), researchers develop an experimental design matrix by fixing one variable and ...

As Thomas Jefferson so eloquently first noted, some truths are self-evident. Most today would agree that a list of incontrovertible truths regarding electric vehicles would have to incorporate these ...