Also found in: Medical.
MRSEMetal Resonance Sound Effect
MRSEMethicillin-Resistant Staphylococcus Epidermidis
MRSEMagnetic Resonance Safety Expert (radiology)
MRSEManifest Refraction Spherical Equivalent (vision)
MRSEMessage Retrieval Service Element
MRSEMetal Resonance Sound Effect (speakers)
MRSEMean Radial Spherical Error
MRSEMassachusetts Rebuild Service and Export, Inc. (West Brookfield, MA)
References in periodicals archive ?
We use the MRSE framework [10, 25] to construct a searchable encrypted ESSEC scheme based on context-sensitive conceptual graph.
In the present study, 22.5% were MRSA, 71% were MSSA and the rest 6.5% were MRSE. Bukhari et al in 2007 reported 27.9% of their isolates as MRSA of all S.
Four parallel reactions were found to be sufficient to describe the OS combustion process (RMSE 0.011 and MRSE 0.027 at 50 K/min).
[31], firstly executed a plain idea of Single Keyword Search over Encrypted Data as well as Multi-keyword Ranked Search over Encrypted cloud data (MRSE) which is mainly dependent on protected inner product computation in addition to the effective similarity of coordinate matching.
ATCC 35984, Methicillin-resistant Staphylococcus epidermidis (MRSE); ATCC 25923, Methicillin-resistant Staphylococcus aureus (MRSA); ATCC 29213, Methicillin-susceptible Staphylococcus aureus (MSSA); ATCC 13883, Klebsiella pneumoniae; ATCC 7966, Aeromonas hydrophila; ATCC 25922, Escherichia coli.
This comparison can be measured quantitatively using the root mean square error (RMSE) and the mean relative square error (MRSE) metrics.
Biosynthesis of silver nanoparticles from Staphylococcus aureus and its antimicrobial activity against MRSA and MRSE. Nanomedicine: NBM, 5:452-456, doi:
epidermidis ([double dagger]) -- -- MRSE ([section]) SSI -- Streptococcus salivarius ([double -- -- dagger]) Enterococcus faecalis ([double dagger]) Micrococcus sp.
The method in [12] is the first proposal, to the best of our knowledge that addresses Multi-keyword Ranked Search over Encrypted cloud data (MRSE).
(%) Staphylococcus aureus 43 (19.5) MSSA 34 (15.4) MRSA 9 (4.1) CoNS 110 (a) (49.8) MSSE (b) 4 (1.8) MRSE (b) 15 (6.8) CoNS, not speciated 91 (41.2) Staphylococcus lugdunensis 1 (0.5) Enterococcus faecalis 19 (8.6) Enterococcus faecium 9 (4.1) VSE 6 (2.7) VRE 3 (1.4) Streptococcus pneumoniae 7 (3.2) Streptococcus pyogenes 4 (1.8) Streptococcus agalactiae 7 (3.2) Streptococcus spp 27 (12.2) Polymicrobial 15 (6.8) Organism Postimplementation, P Value n = 219, No.
Mean Root Square Error (MRSE) was used as a metric to estimate the improvement of the accuracy of our Backpropagation Neural Network with popularity (BPNN-POP) and our hybridization of ARIMA and BPNN-POP (Hybrid-POP) when comparing with other methods.