0000000001117094
AUTHOR
A. Rodriguez-sanchez
The strong coupling constant: State of the art and the decade ahead
This document provides a comprehensive summary of the state-of-the-art, challenges, and prospects in the experimental and theoretical study of the strong coupling $\alpha_s$. The current status of the seven methods presently used to determine $\alpha_s$ based on: (i) lattice QCD, (ii) hadronic $\tau$ decays, (iii) deep-inelastic scattering and parton distribution functions fits, (iv) electroweak boson decays, hadronic final-states in (v) e+e-, (vi) e-p, and (vii) p-p collisions, and (viii) quarkonia decays and masses, are reviewed. Novel $\alpha_s$ determinations are discussed, as well as the averaging method used to obtain the PDG world-average value at the reference Z boson mass scale, $\…
Surgeons' fear of getting infected by COVID19: A global survey
During the last three months, COVID- 19 pandemic had led to a serious backlog of operations globally, and plans for restarting operation are imperative. Recommendations for surgical activities were studied, aiming to protect the surgical staff from being infected. In the meantime, it is also important to give attention to the surgeon’s personal feeling during work. We conducted a survey to investigate global surgi- cal practices during the COVID-19 pandemic, and the surgeon’s personal feeling was also investigated in the sur- vey. In this special letter, we performed multivariate analysis to explore factors that associated with surgeon’s fear of getting infected by COVID-19.
Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals
A methodology for identifying brain areas from the brain MER signals (microelectrode recordings) is presented, which is based on a nonlinear feature set. We propose nonlinear dynamics measures such as correlation dimension, Hurst exponent and the largest Lyapunov exponent to characterize the dynamic structure. The MER records belong to the Polytechnical University of Valencia, 24 records for each zone (black substance, thalamus, subthalamus nucleus and uncertain area). The detection of each area using characteristics derived from complexity analysis was obtained through a classifier (support vector machine). The joint information between areas is remarkable and the best accuracy result was …
Impact of asymptomatic COVID-19 patients in global surgical practice during the COVID-19 pandemic
The rapid spread of COVID-19 has changed the global surgical care. Patients infected with COVID-19 may present without typical symptoms, and such asymptomatic patients may potentially trigger in-hospital outbreaks by transmitting the disease to health care providers and other hospitalized patients. Further, asymptomatic COVID-19 patients have worse postop- erative outcomes with an unexpectedly high morbidity and mortality, reaching 20⋅5 per cent deaths. However, we do not have objective global data on this issue. In an attempt to clarify the current global surgical practice under the COVID-19 pandemic particularly focusing on the preoperative screening of asymptomatic COVID-19 patients, we …