Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

It was delightful to read a recent investigative report detailing Attorney General Aaron Ford’s busy travel schedule. Having worked alongside leadership figures in both public and private business ...

Marc Santos is a Guides Staff Writer from the Philippines. He's a seasoned writer with over four years of industry experience, and he is an enjoyer of all things difficult in gaming. If Marc's not ...

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Trends and disparities in liver cell carcinoma and hepatic failure–related mortality in the US: A retrospective analysis. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

Abstract business analytics. An array of information in the form of waves. Large data stream on a dark background, glowing lines and squares. Data set analysis and visualization. Royalty-free licenses ...

Chinese scientists have made a groundbreaking analysis of the first lunar farside samples returned by the Chang’e-6 mission, revealing significant insights into lunar evolution, volcanic activity ...

After an in-depth analysis of the genetic material from hundreds of swabs taken from the walls, floors, machines and drains inside the Huanan Seafood Wholesale Market in Wuhan, China — a site that’s ...

Quantitative analysis in analytical chemistry is a fundamental aspect of scientific research and industrial applications. Precise measurement of compounds in complex mixtures is essential to ...

Purpose: Ovarian cancer (OC) is a common gynecological malignancy with poor prognosis and substantial tumor heterogeneity. Due to the complex tumor immune microenvironment (TIME) among ovarian cancer, ...