Publications by authors named "S A Meo"
Objectives: To assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration of Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with the potential to analyze sophisticated and extensive data sets, challenging the expertise of statisticians using traditional statistical tools for data analysis.
Methods: This study was performed in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia, in May 2024.
Objectives: To explore the global epidemiological trends in the prevalence and mortality due to mpox in various regions worldwide.
Methods: In this cross-sectional study the data about mpox outbreak were recorded by the "World Health Organization, Centers for Disease Control and Prevention, and GSAID" from August 2023 to August 2024, analyzing the epidemiological trends from different countries worldwide.
Results: The total number of mpox cases has reached 99,518 (95,196 cases from 115 countries that have not historically reported mpox; and 4,322 cases from 07 states that have traditionally reported mpox), from a total of 122 countries.
Article Synopsis
- The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
- A special data scouting method is utilized to pick out events with low combined momentum in jets.
- This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
View Article and Find Full Text PDFIntroduction: The rigorous nature of medical education, long and night shifts, and prevalent issues like stress, anxiety, and depression affect medical students' mental well-being and medical professionalism. This study aims to explore the intricate relationships between mental well-being, medical professionalism, and coping strategies, among undergraduate medical students, utilizing structural equation modeling (SEM) to unravel these dynamics.
Methods: Conducted at Universiti Sains Malaysia, this cross-sectional study involved 234 medical students from the 1st, 3rd, and 5th years of the MBBS program.