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Microservice Workflow Scheduling with a Resource Configuration Model Under Deadline and Reliability Constraints.
Sensors (Basel)
February 2025
School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou 325000, China.
With the continuous evolution of microservice architecture and containerization technology, the challenge of efficiently and reliably scheduling large-scale cloud services has become increasingly prominent. In this paper, we present a cost-optimized scheduling approach with resource configuration for microservice workflows in container environments, taking into account deadline and reliability constraints. We introduce a graph deep learning model (DeepMCC) that automatically configures containers to meet various service quality (QoS) requirements.
View Article and Find Full Text PDFResidents Vote! A Framework and Toolkit to Improve Resident Voting Rates.
J Grad Med Educ
February 2025
is Director, Government Affairs, Henry Ford Health, Detroit, Michigan, USA.
Elections substantially impact health care, yet physicians vote less frequently compared to the general population. Engaging residents and fellows in elections, during training when professional identities are formed, may improve physician voting rates. To examine the feasibility and acceptability of a centralized, institution-wide approach to improve graduate medical education (GME) trainee awareness, registration, and participation in the electoral process.
View Article and Find Full Text PDFAssessing the determinants of out-of-pocket health expenditures among Cambodian households in informal employment using survey data.
Int J Equity Health
January 2025
Department of Clinical Sciences, Malmoe (IKVM), Division of Social Medicine and Global Health (SMGH), CRC, Lund University, Jan Waldenstroems Gata 35, Malmoe, Sweden.
Background: As the deadline for the Sustainable Development Goals approaches, financial protection in Cambodia remains inadequate, especially for nonpoor informal workers lacking formal social health protection coverage or access to other prepayment schemes. This exposes them to high out-of-pocket health expenditures (OOPE) and related financial hardship. To better understand the drivers behind these expenditures, our study aims to model their healthcare, health, and social determinants and to assess their relative importance.
View Article and Find Full Text PDFOptimizing multiprocessor performance in real-time systems using an innovative genetic algorithm approach.
Sci Rep
January 2025
Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, 12677, Egypt.
Due to its enormous influence on system functionality, researchers are presently looking into the issue of task scheduling on multiprocessors. Establishing the most advantageous schedules is often regarded as a difficult-to-compute issue. Genetic Algorithm is a recent tool employed by researchers to optimize scheduling tasks and boost performance, although this field of research is yet mostly unexplored.
View Article and Find Full Text PDFThe Effect of Extending the Window to Disenroll From Medicare Advantage Among Post-Acute Users.
Med Care Res Rev
April 2025
Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, USA.
Post-acute care users in Medicare Advantage (MA) plans may seek coverage changes if facing issues with plan benefits. In 2019, the Centers for Medicare and Medicaid Services extended the deadline to disenroll from an MA plan from February 14 to March 31 and, for the first time, permitted beneficiaries to switch to a different MA plan instead of traditional Medicare. Using 2016-2019 Medicare administrative data, we implemented a difference-in-differences approach to evaluate the impact of this policy on disenrollment from a plan within 1 month of initiating skilled nursing facility or home health services.
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