Publications by authors named "A Mena Tobar"
Effective team science requires procedural harmonization for rigor and reproducibility. Multicenter studies across experimental modalities (domains) can help accelerate translation. The Translational Outcomes Project in NeuroTrauma (TOP-NT) is a pre-clinical traumatic brain injury (TBI) consortium charged with establishing and validating noninvasive TBI assessment tools through team science.
View Article and Find Full Text PDFThrombotic microangiopathy is a severe complication of renal transplantation. Little is known about risk factors, incidence of autoantibodies against complement components, and prognosis. Clinical and laboratory data were retrospectively collected for 13 patients diagnosed with post-transplant thrombotic microangiopathy (PT-TMA) in 2011-2018.
View Article and Find Full Text PDFArticle Synopsis
- - Cholangiopathies are complex disorders with limited understanding and no effective treatments, prompting a study on the extrahepatic biliary tree (EHBD) in Mdr2 mice, a cholestatic mouse model, across different ages (2 to 40 weeks).
- - The study assessed the effects of N-acetyl-L-Cysteine (NAC), an antioxidant and glutathione precursor, on EHBD injury both ex vivo (using bile duct samples) and in vivo (through oral administration for three weeks).
- - Results showed that NAC treatment improved bile duct morphology and reduced liver fibrosis along with lower liver enzyme levels, suggesting a shift in cellular state from apoptosis to proliferation, indicating NAC's potential as a therapeutic
Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .
View Article and Find Full Text PDFPortable Acceleration of CMS Computing Workflows with Coprocessors as a Service.
Comput Softw Big Sci
September 2024
Article Synopsis
- Demand for computing power in major scientific experiments, like the CMS at CERN, is expected to significantly increase over the coming decades.
- The implementation of coprocessors, particularly GPUs, in data processing workflows can enhance performance and efficiency, especially for machine learning tasks.
- The Services for Optimized Network Inference on Coprocessors (SONIC) approach allows for improved use of coprocessors, demonstrating successful integration and acceleration of workflows across various environments without sacrificing throughput.