Publications by authors named "P Rebello Teles"
Background: Currently, there is an increase in procedures across various clinical specialties involving the use of ionising radiation.
Objective: The primary objective of this systematic review is to analyse and compare the existing literature regarding the effectiveness of leaded glasses for healthcare professionals.
Methods: Comprehensive literature searches were conducted for relevant studies published between 2018 and 2023 using the Scopus, PubMed, and Web of Science databases according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology.
Background: Dialysis recovery time (DRT) refers to the period during which fatigue and weakness subside following hemodialysis treatment, allowing patients to resume their daily routines. This study aimed to identify the factors influencing DRT in hemodialysis patients in Turkey and Portugal, where the prevalence of chronic kidney disease is notably high.
Methods: A cross-sectional observational study was conducted in a private dialysis center in Turkey and three dialysis centers in Portugal.
Purpose: Exergames, which combine digital games and physical exercise, have become increasingly popular for rehabilitation in the health domain. This study aimed to assess the effectiveness of exergame rehabilitation on the quality of life of cancer patients undergoing abdominal surgery.
Methods: This randomized controlled trial evaluated the effectiveness of exergame rehabilitation on the quality of life of cancer patients who had undergone abdominal surgery.
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.