Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

The recent discovery of glycoRNAs on the cell surface upended the world of cell biology. These glycoRNAs were found to form highly organized clusters with cell surface RNA binding proteins (csRBPs), ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

In August 2025, the U.S. Securities and Exchange Commission (SEC) settled its case against Ripple Labs, XRP's parent company. The settlement reinforced a prior court finding that XRP itself is not ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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Abstract: In time series anomaly detection (TSAD), the scarcity of labeled data poses a challenge to the development of accurate models. Unsupervised domain adaptation (UDA) offers a solution by ...

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...

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