Researchers at the University of Massachusetts Amherst have analyzed nearly 86,500 surgeries at Baystate Medical Center to ...

In over 90% of cases, an AI-based clinical decision support system delivered colonoscopy surveillance intervals aligned with ...

I have managed online reputations for local businesses for over a decade, and the question I hear most often is always the same: where are the best sites to buy Google reviews without getting your ...

Abstract: In consideration of the uncertainty of the scientific workflows, an interval-based multi-objective cloud workflow scheduling problem is investigated, which widely exists in the cloud ...

The Precedence Diagram Method (PDM) is widely used for modeling large and complex construction projects characterized by non-linear execution logic, overlapping activities, and multiple precedence ...

Abstract: Dynamic interval multiobjective optimization problems, such as those encountered in wireless sensor network scheduling and portfolio selection, are increasingly prevalent. However, they ...

With the rapid advancement of fog-cloud computing, task offloading and workflow scheduling have become pivotal in determining system performance and cost efficiency. To address the inherent complexity ...

Timely reconstruction of epidemic dynamics is essential for public health, and structured coalescent models constitute an essential tool for this purpose. However, statistical and computational ...

The authors explore the limitations of the current system of revisit interval assignment and discuss the importance of standardization to optimize patient health care outcomes. Physicians often rely ...

This article explores the evolution of optimal start and stop strategies for HVAC systems, focusing on the latest innovation: an adaptive tuning algorithm developed in a PNNL-authored paper. This ...