Superconductivity provides a way to develop energy-efficient components that could impact everything from transportation and quantum computing to power lines and MRI machines. It refers to the ...

This nanoscale structure significantly enhances conductivity, improves rate capability, and increases energy density, delivering a major performance advantage across a range of battery applications.

The point is that the data has an underlying structure that is complex, but can be predicted ... Using a Quantile Loss ...

W hether you’re building a second brain, or just trying to keep your thoughts organized in one place, Obsidian makes the entire process feel remarkably intuitive and deeply rewa ...

Four qualities that elevate this paper from good to great in style are: its structure, captivity, soulfulness, and precision. Structured Outline, Paragraphs, and Sentences Structurally ...

This paper proposes GSLTE, a graph structure learning method for MTAD. GSLTE employs Fast Fourier Transform to conduct iterative segmentation of the whole series, selecting the dominant Fourier ...

Using a scanning electron microscope (SEM), the research team discovered that the infrared-cooked samples maintained consistent internal structure without the dramatic swelling in oven-baked items.

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...