Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Objective To help to clarify whether long term use of proton pump inhibitors is associated with an increased risk of gastric adenocarcinoma by designing a study that considered the existing literature ...

Increased NSCLC risk in never-smokers is linked to chronic lung disease, living in noncapital regions, unemployment, and ...

Dec 12 (Reuters) - Crypto giants including Ripple and Circle on Friday received preliminary approval from a top U.S. banking regulator to establish national trust banks, in a major move that could ...

OCC charter expands Ripple's regulatory reach and reinforces RLUSD as the gold standard for compliance and trust. SAN FRANCISCO--(BUSINESS WIRE)--The Office of the Comptroller of the Currency (OCC) ...

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.

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

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 ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

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 ...