Publications by authors named "J M Fernandez Menendez"
Background: Lung cancer (LC) is Europe's primary cause of cancer-related mortality largely due to its historically low survival rates. The aim of this study was to analyze 26-year survival trends in the province of Girona, Spain, and to identify key prognostic factors.
Methods: Population-based study of LC cases collected between 1994 and 2019, with follow-up until December 31, 2021.
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 PDFArticle Synopsis
- SLITs are proteins that act as ligands for ROBO receptors, which are important for cell signaling.
- Research indicates that ROBO1 helps mammary cells differentiate and produce milk by blocking Notch signaling.
- In experiments, knockout mice lacking SLIT2 and SLIT3 showed better development of milk-producing cells and higher milk production, suggesting that SLITs inhibit this process by interfering with ROBO1.
Fatty acid synthase (FASN)-catalyzed endogenous lipogenesis is a hallmark of cancer metabolism. However, whether FASN is an intrinsic mechanism of tumor cell defense against T cell immunity remains unexplored. To test this hypothesis, here we combined bioinformatic analysis of the FASN-related immune cell landscape, real-time assessment of cell-based immunotherapy efficacy in CRISPR/Cas9-based FASN gene knockout (FASN KO) cell models, and mathematical and mechanistic evaluation of FASN-driven immunoresistance.
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.