Increased NSCLC risk in never-smokers is linked to chronic lung disease, living in noncapital regions, unemployment, and ...
Five digital asset firms have received conditional approvals Friday to become federally chartered trust banks by the Office of the Comptroller of Currency (OCC) in a major step to bring U.S. dollar ...
The OCC has conditionally approved five crypto firms — Ripple, Circle, Fidelity Digital Assets, BitGo, and Paxos — to become national trust banks, advancing the integration of digital assets into U.S.
NEW YORK, Nov 23 (Reuters) - Stock market investors are preparing for a turbulent year-end sparked by uncertainty over near-term Federal Reserve interest rate cuts and mounting worries that artificial ...
SAN DIEGO, Nov. 02, 2025 (GLOBE NEWSWIRE) -- Belite Bio, Inc. (NASDAQ: BLTE), a clinical-stage drug development company focused on advancing novel therapeutics targeting degenerative retinal diseases ...
The United States Office of the Comptroller of the Currency (OCC) announced on Oct. 16 that it has conditionally approved a national bank charter for Erebor Bank, National Association, based in ...
Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
On July 22, it was announced that the United States and Japan had reached a trade deal after several months of active negotiations. The agreement is the most substantial struck so far by the Trump ...
Have you ever stared at a massive spreadsheet, overwhelmed by rows and columns of data, wondering how to make sense of it all? Imagine being able to instantly spot trends, outliers, or urgent tasks ...
ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.
ABSTRACT: This study investigates retirement planning strategies and financial literacy among formal sector employees at Zambia’s Food Reserve Agency (FRA). Using a quantitative approach, the research ...
Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...