Researchers hope to adapt a successful Hong Kong injury-prediction model using the Horseracing Integrity and Safety Authority ...

Learn Microsoft Access from scratch with this complete beginner-friendly tutorial! Follow step by step to create and manage databases confidently. #MicrosoftAccess #DatabaseManagement #TutorialForBegi ...

This data series is part of the Center for Monetary Research. The U.S. Monetary Policy Event-Study Database (USMPD) collects high-frequency changes of interest rates and asset prices around Federal ...

Objectives To identify the clinical risk factors that influence in-hospital mortality in elderly patients with persistent sepsis-associated acute kidney injury (S-AKI) and to establish and validate a ...

The increasing prevalence and mortality of sepsis and acute kidney injury (AKI) pose significant threats to the survival of critically ill patients worldwide. Consequently, it’s essential to identify ...

Abstract: Geo-localization through image matching has achieved remarkable success but is often constrained by the necessity of large, curated galleries and computationally expensive search processes.

Abstract: This study aims to categorize the following dogs' primary emotional states: anger, fear, and happiness. We used transfer learning (TL) and advanced 2D/3D Convolutional Neural Networks (CNNs) ...

The IMF’s World Revenue Longitudinal Database (WoRLD) tracks government revenue trends since the early 1980s. This invaluable resource offers policymakers, researchers, and the public crucial insights ...

Nearly half of CDC-run public databases on federal health surveillance stopped or delayed updates in 2025, including many webpages on vaccinations, according to a study published Jan. 27 in Annals of ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...

This paper introduces the U.S. Monetary Policy Event-Study Database (USMPD), a novel, public, and regularly updated dataset of financial market data around Federal Open Market Committee (FOMC) policy ...