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Delayed spontaneous resolution of a double anterior chamber following deep anterior lamellar keratoplasty (DALK).
BMC Ophthalmol
December 2024
Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: This study reports a rare case of delayed spontaneous resolution of double anterior chambers (AC) resulting from non-rhegmatogenous Descemet membrane detachment (DMD) after deep anterior lamellar keratoplasty (DALK). Currently, management guidelines for this condition have not been established.
Case Presentation: A 65-year-old woman with lattice corneal dystrophy underwent uncomplicated DALK, during which an unrecognized type 2 big bubble was present.
Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization.
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
Article Synopsis
- The paper tackles the complexities of scheduling clean energy in power grids, proposing an AI-driven method using Environmental, Social, and Governance (ESG) big data to optimize multi-objective scheduling.
- It combines Particle Swarm Optimization (PSO) for initial scheduling and Deep Q-Network (DQN) for real-time adjustments to enhance efficiency and adapt to changes in renewable energy output.
- Simulation results show this method boosts clean energy utilization from 62.4% to 87.7% and cuts scheduling costs by 22%, although increased communication delays extend instruction generation times.
Introduction: The DMAIC approach is a five-phase improvement cycle which enables the advancement of pre-existing processes and was implemented as part of the "lean" process improvement initiative. The present study aims to improve the work efficiency of chemotherapy daycare unit (CDU) at a cancer hospital. The objectives include studying the process flow of the CDU, estimating the patient wait time (PWT) before infusion at the CDU, and implementing new measures to improve its functioning.
View Article and Find Full Text PDFOptimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework.
PLoS One
December 2024
School of Computer and Big Data, Minjiang University, Fuzhou, Fujian, China.
Cloud environment handles heterogeneous services, data, and users collaborating on different technologies and resource scheduling strategies. Despite its heterogeneity, the optimality in load scheduling and data distribution is paused due to unattended requests for a prolonged time. This article addresses the aforementioned issue using a Two-level Scheduling and Distribution Framework (TSDF) using Fuzzy Logic (FL).
View Article and Find Full Text PDFApplication of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration.
Pharmaceuticals (Basel)
October 2024
Department of Translational Medicine and for Romagna, University of Ferrara, 44121 Ferrara, Italy.
Neovascular age-related macular degeneration (nAMD) is one of the major causes of vision impairment that affect millions of people worldwide. Early detection of nAMD is crucial because, if untreated, it can lead to blindness. Software and algorithms that utilize artificial intelligence (AI) have become valuable tools for early detection, assisting doctors in diagnosing and facilitating differential diagnosis.
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