Objectives Hypertension and depression frequently co-occur, complicating patient management and worsening outcomes. This scoping review aims to systematically map non-pharmacological interventions for ...

NEWPORT NEWS, Va. — The U.S. Army has taken a significant step to modernize how it manages Soldiers’ training data. On Nov. 15, ATIS Training — a streamlined, intuitive platform for managing ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of a superalloy used in aircraft engines. The system successfully produced an ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Managing a library manually takes a lot of time, effort, and paperwork. A Library Management System (LMS) solves this problem. It is used by the libraries to increase the workflow and reduce human ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

The Trump administration has, for the first time ever, built a searchable national citizenship data system. The tool, which is being rolled out in phases, is designed to be used by state and local ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Abstract: As a public resource, the library has the very important value. Whether it is paper book or digital resource, library as a reservoir of knowledge meets people's daily learning and research ...

Operatives from Elon Musk’s so-called Department of Government Efficiency (DOGE) are building a master database at the Department of Homeland Security (DHS) that could track and surveil undocumented ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...