A framework for benchmarking performance of switch fabrics

Author(s):  
S. Ayandeh
Biomedicines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 124
Author(s):  
Jaco Botha ◽  
Haley R. Pugsley ◽  
Aase Handberg

Flow cytometry remains a commonly used methodology due to its ability to characterise multiple parameters on single particles in a high-throughput manner. In order to address limitations with lacking sensitivity of conventional flow cytometry to characterise extracellular vesicles (EVs), novel, highly sensitive platforms, such as high-resolution and imaging flow cytometers, have been developed. We provided comparative benchmarks of a conventional FACS Aria III, a high-resolution Apogee A60 Micro-PLUS and the ImageStream X Mk II imaging flow cytometry platform. Nanospheres were used to systematically characterise the abilities of each platform to detect and quantify populations with different sizes, refractive indices and fluorescence properties, and the repeatability in concentration determinations was reported for each population. We evaluated the ability of the three platforms to detect different EV phenotypes in blood plasma and the intra-day, inter-day and global variabilities in determining EV concentrations. By applying this or similar methodology to characterise methods, researchers would be able to make informed decisions on choice of platforms and thereby be able to match suitable flow cytometry platforms with projects based on the needs of each individual project. This would greatly contribute to improving the robustness and reproducibility of EV studies.


2001 ◽  
Vol 24 (15-16) ◽  
pp. 1589-1606 ◽  
Author(s):  
H.S. Laskaridis ◽  
A.A. Veglis ◽  
G.I. Papadimitriou ◽  
A.S. Pombortsis

2014 ◽  
Vol 13 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Angik Sarkar ◽  
Dmitri E. Nikonov ◽  
Ian. A. Young ◽  
Behtash Behin-Aein ◽  
Supriyo Datta

2003 ◽  
Author(s):  
Javier Sosa ◽  
Juan A. Montiel-Nelson ◽  
Hector Navarro ◽  
Mahendra V. Shahdadpuri ◽  
Roberto Sarmiento

Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy, and therefore performance measurement, being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness. The purpose of this chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing super-efficiency models of data envelopment analysis (DEA) on secondary data of CONCOR container terminals from 1994-95 to 2015-16 for performance evaluation within CONCOR. The exercise identified efficiency trends fluctuating between 75.83% to 109.51% (CCR model) and 93.52% to 100% (BCC model) within CONCOR, owing to lack of operational planning and lack of efficient staff.


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