RSE
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Power System Robust State Estimation As a Layer: An Optimization-embedded End-to-end Learning Approach
Announce Type: replace Abstract: Serving as an essential prerequisite for modern power system operation, robust state estimation (RSE) could effectively resist noises and outliers in measurements. The emerging neural network (NN) based end-to-end (E2E) learning framework enables real-time application of RSE but potentially yields solutions that are statistically accurate yet physically inconsistent. To bridge this gap, this work proposes a novel E2E learning based RSE framework, where the...
RNA 'cut-and-patch' tool repairs faulty messages without altering DNA
A research team from the School of Biomedical Sciences at the LKS Faculty of Medicine, the University of Hong Kong (HKUMed), has achieved a significant advance in biotechnology that could revolutionize treatment strategies for neurodegenerative diseases. The team has developed a novel tool called RNA Segment Editing (RSE), which functions like a "cut-and-patch" tool for RNA. This innovative approach allows scientists to precisely remove or replace faulty segments of genetic messages within...
Modeling hepatitis D virus kinetics during bulevirtide monotherapy: challenges and solutions
Announce Type: replace Abstract: The entry inhibitor Bulevirtide (BLV) was recently approved in Europe for treatment of chronic hepatitis D virus (HDV) infection, which is considered the most severe viral hepatitis infection. Theory indicates that models that account for free virus and infected cells, but do not include target cell dynamics (historically called the two-equation model) are limited to predicting a monophasic viral decline for antiviral agents that act only to block viral...