REDUCED SUSCEPTIBILITY OF MRSA TO VANCOMYCIN

Objective: This study was conducted to observe the antibiogram, vancomycin MIC (Minimum Inhibitory Concentration), and inducible clindamycin resistance in clinical isolates of MRSA (Methicillin-Resistance Staphylococcus aureus).Methods: Drug resistance pattern was studied by Kirby-Bauer disc diffusion methods. MIC of vancomycin was determined by agar dilution method.Results: MRSA was found to be highly resistant to gentamicin (76%), erythromycin (67.03%) and ciprofloxacin (65.09%) while glycopeptides showed uniform susceptibility.Conclusion: Though there was no drug resistance observed against vancomycin and linezolid, it's wise to use these antibiotics safely as emerging resistance has been reported for these drugs from all over the world

Mean-field synchronization model for open-loop, swirl controlled thermoacoustic system

Open-loop control is known to be an effective strategy for controlling self-excited thermoacoustic oscillations in turbulent combustors. In this study, we investigate the suppression of thermoacoustic instability in a lean premixed, laboratory-scale combustor using experiments and analysis. Starting with a self-excited thermoacoustic instability in the combustor, we find that a progressive increase in the swirler rotation rate transitions the system from thermoacoustic instability to the suppressed state through a state of intermittency. To model such transition while also quantifying the underlying synchronization characteristics, we extend the model of Dutta et al. [Phys. Rev. E 99, 032215 (2019)] by introducing a feedback between the ensemble of mean-field phase oscillators and the basis expansion of the acoustic pressure governing equation. The assumption that coupling strength among the oscillators is a linear combination of acoustic and swirler rotation frequency is justified \textit{a posteriori}. The link between the model and experimental results is quantitatively established by implementing an optimization algorithm for model parameter estimation. We show that the model replicates the bifurcation characteristics, time series, probability density function (PDF), and power spectral density (PSD) of the various dynamical states observed during the transition to the suppressed state, to excellent accuracy. Specifically, the model captures the change in the PDF of pressure and heat release rate fluctuations from a bimodal distribution during thermoacoustic instability to a unimodal distribution during suppression. Finally, we discuss the global and local flame dynamics and show that the model qualitatively captures various aspects of spatio-temporal synchronization that underlies the transition.Comment: S.S. and A. K. D. contributed equally in this paper. 8 pages and 6 figure

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-