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Immunological characterization of recombinant Wuchereria bancrofti cuticular collagen(COL-4)as putative vaccine candidate for human lymphatic filariasis

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Asian Pacific Journal of Tropical Medicine 2014年第7期7卷 505-512页

作者： chakkaravarthy arunkumar Pandurangan Pandiaraja P.R.Prince Perumal Kaliraj Centre for Biotechnology Anna University

Objective:To elucidate immunoprophylactic potential of recombinant Wuchereria bancrofti(***)cuticular collagen(COL-4)in BALB/c mice and filarial clinical ***:col-4 gene was PCR amplified from *** L3 cDNA library and cloned in pRSET B *** COL-4 was over expressed in salt inducible system and was purified by nickel afiinity *** and cellular responses were measured by EUSA and peripheral blood mononuclear cells(PBMC)of various filarial clinical samples respectively using purified recombinant COL-4 *** the protective immune responses of COL-4 immunized BALB/c mice were ***:Sequence analysis of COL-4 with human host proteins reveals lack of *** recombinant COL-4 was found to be at 15 kDa fusion *** affinity purified COL-4 showed significant reactivity with putatively immune sere and in a similar fashion it demonstrated marked proliferation in PBMC *** studies in experimental filarial host(mice)elicited significant liters with protective antibody isotype profile(IgM and IgG).Cellular immune responses were also significant in terms of splenocytes proliferation assay on mice ***:Our immunological findings in experimental host suggest Th2mediated immune ***,we propose that *** COL-4 could be an efficacious vaccine candidate against lymphatic filariasis.

关键词： Lymphatic filariasis Wuchereria banerofti Cuticular collagen Vaccine

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Logistic Regression with Elliptical Curve Cryptography to Establish Secure IoT

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Computer Systems Science & Engineering 2023年第6期45卷 2635-2645页

作者： J.R.arunkumar S.Velmurugan Balarengadurai Chinnaiah G.Charulatha M.Ramkumar Prabhu A.Prabhu chakkaravarthy Department of Information Technology Sree Vidyanikethan Engineering College(Autonomous)TirupatiAndhra PradeshIndia Department of Electronics and Communication Engineering TJS Engineering CollegeKavaraipettaiChennaiTamil NaduIndia Department of Computer Science and Engineering Vidyavardhaka College of EngineeringMysuruKarnatakaIndia Department of Electronics and Communication Engineering Peri Institute of TechnologyChennaiTamil NaduIndia Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical ScienceChennaiTamil NaduIndia

Nowadays,Wireless Sensor Network(WSN)is a modern technology with a wide range of applications and greatly attractive benefits,for example,self-governing,low expenditure on execution and data communication,long-term function,and unsupervised access to the *** Internet of Things(IoT)is an attractive,exciting *** applying communication technologies in sensors and supervising features,WSNs have initiated communication between the IoT *** IoT offers access to the highest amount of information collected through WSNs,it leads to privacy management ***,this paper provides a Logistic Regression machine learning with the Elliptical Curve Cryptography technique(LRECC)to establish a secure IoT structure for preventing,detecting,and mitigating *** approach uses the Elliptical Curve Cryptography(ECC)algorithm to generate and distribute security *** algorithm is a light weight key;thus,it minimizes the routing ***,the Logistic Regression machine learning technique selects the transmitter based on intelligent *** main application of this approach is smart *** approach provides continuing reliable routing paths with small *** addition,route nodes cooperate with IoT,and it handles the resources proficiently and minimizes the 29.95%delay.

关键词： Wireless sensor network internet of things security elliptical curve cryptography machine learning regression analysis

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