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Incorporating Smart Software-defined Networks to Enhance Resilience and Survivability in the Cloud
Indushree Banerjee,Indika Perera,Amitava Nag,Joydeep Choudhury 한국산학기술학회 2015 SmartCR Vol.5 No.4
With increased dependence on grids and the cloud, resilience and survivability become pre-requisites of backbone network infrastructure. Due to the unprecedented migration of data centers to both public and private cloud services; the need of an environment that provides agility combined with security and scalability becomes mandatory. The changing network scenario requires a standardized separation of data and control planes that will allow transparency and increase network resilience as metrics to improve security. Software-defined networks are being considered by many vendors to provide the ultimate solution to meet the increasing demands and serve the elastic growth of cloud services while providing sufficient flow monitoring, fault detection, and network management properties in highly-complex backbone infrastructure networks.
Chattopadhyaya, Banani,Banerjee, Joydeep,Basu, Asitava,Sen, Soumitra K.,Maiti, Mrinal K. The Korean Society of Plant Biotechnology 2010 Plant biotechnology reports Vol.4 No.2
An efficient protocol for shoot regeneration was developed for sesame (Sesamum indicum L.) internodes using the transverse thin cell layer (tTCL) culture method. The frequency of shoot regeneration and the number of adventitious buds produced from regenerated shoots depend significantly on explant age, thickness of the tTCL sections, and the phytohormones supplemented to the culture medium. A combination of 6-benzyladenine (2.0 $mg\;l^{-1}$) and a-naphthaleneacetic acid (0.5 $mg\;l^{-1}$) was found to be the best phytohormone combination for shoot bud induction, with the maximum number of shoots obtained when the tTCL sections were 0.5-1.0 mm thick and derived from 4- to 6-week-old seedlings of sesame. Well-developed shoots were rooted on MS medium without phytohormones, and 80% of the regenerated plantlets were successfully established in soil.
Arka Dey,Mrinmay Das,Joydeep Datta,Rajkumar Jana,Joydeep Dhar,Sayantan Sil,Debasish Biswas,Chandan Banerjee,Partha Pratim Ray 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.4
Here we have presented the results of large area (30 × 30 cm2) siliconhydrogenalloy material and solar cell by argon dilution method. As analternative to hydrogen dilution, argon dilution method has been appliedto develop single junction solar cell with appreciable stability. Optimization of deposition conditions revealed that 95% argon dilutiongives a nanostructured material with improved transport property andless light induced degradation. The minority carrier diffusion length (Ld)and mobility-lifetime (μτ) product of the material with 95% argondilution degrades least after light soaking. Also the density of states(DOS) below conduction level reveals that this material is lessdefective. Solar cell with this argon diluted material has been fabricatedwith all the layers deposited by argon dilution method. Finally we havecompared the argon diluted solar cell results with the optimizedhydrogen diluted solar cell. Light soaking study proves that it is possibleto develop stable solar cell on large area by argon dilution method andthat the degradation of argon diluted solar cell is less than that ofhydrogen diluted one.
( Jung Yeob Ham ),( Hoo Sang Hwang ),( Euno Kim ),( Jeong Ah Kim ),( Sung Jin Cho ),( Jae Young Ko ),( Woo Jin Lee ),( Jae Hwan Lee ),( Harish Holla ),( Joydeep Banerjee ),( Seok Ho Kim ),( Jin Ho Yan 영남대학교 약품개발연구소 2012 영남대학교 약품개발연구소 연구업적집 Vol.22 No.0
We have discovered and demonstrated the in vitro and in vivo PPARδ-selective activity of novel Y-shaped agonists. These compounds activated hPPARδ with EC(50) values between 1 and 523 nM. Surprisingly, compounds 10a, 11d, 11e and 11f were the most potent and most selective hPPARδ agonists with 10(4)-fold selectivity over the other two subtypes, namely, hPPARα and hPPARγ. The PPARδ ligands 10a, 11e and 11f showed good bioavailability and in vivo efficacy. ⓒ 2012 Elsevier Masson SAS. All rights reserved.