This study conducts a performance evaluation of a blockchain-based Human Resource Management System (HRMS) utilizing smart ...

ColdFront is an open source resource and allocation management system designed to provide a central portal for administration, reporting, and measuring scientific impact of cyberinfrastructure ...

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based ...

The investment seeks long-term total return. The adviser employs a dynamic investment strategy seeking to achieve, over time, a total return in excess of the broad U.S. equity market by selecting ...

The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...

The fund has returned 39.22 percent over the past year, 15.96 percent over the past three years, and 12.85 percent over the past five years.

UniFP is a GC zero-allocation C# functional programming framework for Unity, inspired by Rust, Haskell, and F#. It brings functional thinking and explicit error ...

President Donald Trump is using America’s most precious resource to fix its critical minerals problem: Cash. That could help mining investors in the long run.

Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, among distinct users ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

Law enforcement agencies, courts, and communities across the country face pressure to improve their criminal justice practices. Meanwhile, resources to do so remain constrained—even more so in recent ...

Abstract: While deep learning (DL) has made notable progress in addressing complex radio access network control challenges, DL has shown limitations in solving constrained NP-hard problems often ...