Publications by authors named "J Manuel Cifuentes"
Article Synopsis
- A new species of woodlice called Armadillidium boalense sp. nov. has been identified in Asturias, northern Spain, and belongs to the 'pictum group.'
- This species is distinguished by its rounded shape, unique head structure, and clear differences in male reproductive features.
- The paper also includes a comparison with a previously debated species, Armadillidium galiciense, and provides an updated identification key and new ecological data for other related species in the region.
Melanoma, known for its aggressive metastatic potential, poses significant treatment challenges. Despite the potent antiproliferative effects of anticancer drugs, systemic toxicity and low water solubility limit their efficacy. This study addresses these challenges by employing magnetite (FeO) nanobioconjugates as a drug delivery system, aimed at enhancing drug solubility and reducing off-target effects in melanoma therapy.
View Article and Find Full Text PDFUsing 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 PDFThe addition of nanoparticles has been presented as an alternative approach to counteract the degradation of polymeric solutions for enhanced oil recovery. In this context, a nanohybrid (NH34) of partially hydrolyzed polyacrylamide (MW ∼12 MDa) and nanosilica modified with 2% 3-aminopropyltriethoxysilane (nSiO-APTES) was synthesized and evaluated. NH34 was characterized by using dynamic light scattering, Fourier-transform infrared spectroscopy, and thermogravimetric analysis.
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.