Publications by authors named "M Suhail Zubairy"

Gaussian states with nonclassical properties such as squeezing and entanglement serve as crucial resources for quantum information processing. Accurately quantifying these properties within multimode Gaussian states has posed some challenges. To address this, we introduce a unified quantification: the "classical-nonclassical polarity," represented by P.

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 Troponins are classically raised in acute coronary syndrome (ACS) although other cardiovascular and non-cardiovascular causes are recognized. We aimed to see the association of high sensitivity (Hs) Troponin I values exceeding the sex-specific 99th percentile upper reference limit (URL) with diagnoses, emergency department (ED) outcomes, 30-day outcomes of admitted patients and predictors of ACS in both genders.  A retrospective study of all patients presenting to the emergency department from January 2019 to April 2021 with suspicion of ACS and Hs-Troponin I values greater than the sex-specific 99th percentile URL.

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The spin angular momentums of surface plasmon polaritons (SPPs) on chiral material interfaces and the Imbert-Fedorov shifts of linearly polarized light beams are investigated. Compared to a traditional TM-polarized SPP having a transverse spin, the SPP on a chiral material interface also has a longitudinal spin component, resulting from the nature that this new kind of SPP is a hybrid of TE and TM-polarized evanescent waves. When a light beam is incident on a sandwich structure composed of chiral material, prisms, and metal layers, in which the SPP is supported, the reflection and transmission processes can be analogous to the transport of a photon in a waveguide QED system.

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Introduction: Troponin I levels are biomarkers of choice for diagnosis of acute myocardial infarction (AMI). However, prognostic significance of values below the 99th percentile upper reference limit (URL) in patients presenting with symptoms suggestive of Acute coronary syndrome (ACS) need further evaluation.

Aim: The objectives of the study were to find the association of High sensitivity (hs)-Troponin I values below 99th percentile URL with age and the Emergency Department (ED) outcome, to determine single cut-off for safe discharge of these patients from the ED and to determine the 30-day outcome of the patients admitted under cardiac speciality.

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The present study aims to characterize and predict models for antibacterial activity of a novel oligosaccharide from against subsp. using an adaptive neuro-fuzzy inference system and an artificial neural network. The mathematical predication models were used to determine the optimal conditions to produce oligosaccharide and determine the relationship between the factors (pH, temperature, and time).

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