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Journal of Animal Science and Biotechnology 2022年第5期13卷 1240-1261页

作者： tamil selvi sundaram Carlotta Giromini Raffaella Rebucci Juraj Pistl Mangesh Bhide Antonella Baldi Department of Veterinary Science for Health Animal Production and Food SafetyUniversity of MilanVia Trentacoste 220134 MilanItaly University of Veterinary Medicine and Pharmacy in Kosice Komenskeho 68/7304181 KosiceSlovakia

The gastrointestinal tract of livestock and poultry is prone to challenge by feedborne antigens,pathogens,and other stress factors in the farm environment.Excessive physiological inflammation and oxidative stress that arises firstly disrupts the intestinal epithelial barrier followed by other components of the gastrointestinal tract.In the present review,the interrelationship between intestinal barrier inflammation and oxidative stress that contributes to the pathogenesis of inflammatory bowel disease was described.Further,the role of naturally existing immunomodulatory nutrients such as the omega-3 polyunsaturated fatty acids,citrus pectin,and milk-derived exosomes in preventing intestinal barrier inflammation was discussed.Based on the existing evidence,the possible molecular mechanism of these bioactive nutrients in the intestinal barrier was outlined for application in animal diets.

关键词： Citrus pectin Immunomodulatory nutrients Inflammation Intestinal epithelial barrier Milk-derived exosomes Omega-3 polyunsaturated fatty acids Oxidative stress

Modelling and Characterization of Basalt/Vinyl Ester/SiC Micro-and Nano-hybrid Biocomposites Properties Using Novel ANN–GA Approach

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Journal of Bionic Engineering 2024年第2期21卷 938-952页

作者： Yesudhasan Thooyavan Lakshmi Annamali Kumaraswamidhas Robinson Dhas Edwin Raj Joseph selvi Binoj Bright Brailson Mansingh Antony Sagai Francis Britto Alamry Ali Department of Mechanical Engineering Indian Institute of Technology Dhanbad(ISM)DhanbadJharkhand826004India Gati Shakti Vishwavidyalaya(GSV-A Central University Funded By GoI in the Ministry of Railways) LalbaugVadodaraGujarat390004India Institute of Mechanical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennaiTamilnadu602105India Metal Joining Research Centre Department of Mechanical EngineeringSri Ramakrishna Engineering CollegeCoimbatoreTamilnadu641022India Department of Mechanical Engineering Rohini College of Engineering and TechnologyPalkulamTamil Nadu629401India Department of Mechanical Engineering College of Engineering in Al-KharjPrince Sattam Bin Abdulaziz University11942Al-KharjSaudi Arabia

Basalt fiber reinforcement in polymer matrix composites is becoming more and more popular because of its environmental friendliness and mechanical qualities that are comparable to those of synthetic fibers.Basalt fiber strengthened vinyl ester matrix polymeric composite with filler addition of nano-and micro-sized silicon carbide(SiC)element spanning from 2 weight percent to 10 weight percent was studied for its mechanical and wear properties.The application of Artificial Neural Network(ANN)to correlate the filler addition composition for optimum mechanical properties is required due to the non-linear mechanical and tribological features of composites.The stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant properties.The predicted and tested ANN–GA optimal values obtained for the composite combination had a tensile,flexural,impact resilience,hardness and wear properties of 202.93 MPa,501.67 MPa,3.460 J/s,43 HV and 0.196 g,respectively,for its optimum combination of filler and reinforcement.It can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its applications.The predicted mechanical and wear values of the developed ANN–GA model were in closer agreement with the experimental values which validate the model.

关键词： Hybrid polymer composite Prediction Process modelling Artificial neural networks Genetic algorithm

Co-administration of rlpaB domain of Shigella with rGroEL of s. Typhi enhances the immune responses and protective efficacy against Shigella infection

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Cellular & Molecular Immunology 2015年第6期12卷 757-767页

作者： Sekar tamil selvi Chitradevi Gurpreet Kaur Sivaramakrishna Uppalapati Anandprakash Yadav Dependrapratap Singh1 Anju Bansal Division of Experimental Biology Defence Institute of Physiology and Allied Sciences Delhi India Division of Microbiology Defence Food Research Laboratory Mysore India Division of Immunomodulation Defence Institute of Physiology and Allied Sciences Delhi India

Shigella species cause severe bacillary dysentery in humans and are associated with high morbidity and mortality. The Invasion plasmid antigen （IpaB） protein, which is conserved across all Shigella spp., induces macrophage cell death and is required to invade host cells. The present study evaluates the immunogenicity and protective efficacy of the recombinant （r） domain region of IpaB （rlpaB） of S. flexneri, rlpaB was administered either alone or was co-administered with the rGroEL （heat shock protein 60） protein from S. Typhi as an adjuvant in a mouse model of intranasal immunization. The IpaB domain region （37 kDa） of S. flexneriwas amplified from an invasion plasmid, cloned, expressed in BL21 Escherichia colicells and purified. Immunization with the rlpaB domain alone stimulated both humoral and cell-mediated immune responses. Furthermore, robust antibody （IgG, IgA） and T-cell responses were induced when the rlpaB domain was co-administered with rGroEL. Antibody isotyping revealed higher IgG 1 and IgG2a antibody titers and increased interferon-gamma （IFN-γ） secretion in the co-administered group. Immunization of mice with the rlpaB domain alone protected 60%-70% of the mice from lethal infection by S. flexneri, S. boydiiand S. sonnei, whereas co-administration with rGroEL increased the protective efficacy to 80%-85%. Organ burden and histopathological studies also revealed a significant reduction in lung infection in the co-immunized mice compared with mice immunized with the rlpaB domain alone. This study emphasizes that the co-administration of the rlpaB domain and rGroEL protein improves immune responses in mice and increases protective efficacy against Shigella infection. This is also the first report to evaluate the potential of the GroEL （Hsp 60） protein of S. Typhi as an adjuvant molecule, thereby overcoming the need for commercial adjuvants.

关键词： GroEL heat shock protein IpaB Shigella S. Typhi

Full Duplex Media Access Control Protocol for Multihop Network Computing

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Computer Systems Science & Engineering 2023年第1期44卷 297-309页

作者： J.Avila selvi Therase S.Allwin A.Ahilan Department of CSE Infant Jesus College EngineeringThoothukudiTamil Nadu628851India Department of ECE PSN College of Engineering and TechnologyMelathediyoorTamil Nadu627152India

Intelligent communication technologies beyond the network are pro-posed by using a new full-duplex protocol.The Media Access Control(MAC)is a data interaction network protocol,which outperforms the IEEE 802.15.4e.This research discusses the planning and execution of full-duplex(FD)pipeline MAC protocol for multihop wireless networks(MWN).The design uses a com-bination of Radio frequency and baseband methods to realize full-duplexing with smallest impact on cross layer functions.The execution and trial results specify that Pipeline Media Access Control(PiMAC)protocol considerably develops net-work implementation in terms of transmission protocol(TP)and transmission delay.The advantage of using FD-MAC will increase the range of nodes.Also takes benefit of the FD mode of the antenna,which outperforms additionally 80%for all assessed cases.In this analysis,it was considered of that Psz=8184 bits and Rc=1Mbps;that’s,T_(DATA) represents an excellent portion of total UTC.Tests on real nodes displays that the FD theme achieves a median gain of 90%in mix-ture throughput as equated to half-duplex(HD)theme for MWN.The energy con-sumption of proposed system method is 29.8%reduced when compared with existing system method.

关键词： Beyondfifth-generation(B5G) FD MAC wi-finetworks wireless relay network multihop wireless networks

Optimized Resource Allocation for IoT-D2D Communication Using WSN

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Computer Systems Science & Engineering 2023年第5期45卷 1789-1804页

作者： S.Arun Mozhi selvi Roobaea Alroobaea Saeed Rubaiee Abdulkader S.Hanbazazah Department of Computer Science and Engineering Holy Cross Engineering CollegeVagaikulam628851Tamil NaduIndia Department of Computer Sceience College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21974Saudi Arabia Department of Industrial and Systems Engineering College of EngineeringUniversity of JeddahJeddah21959Saudi Arabia

The need for a strong system to access radio resources demands a change in operating frequency in wireless networks as a part of Radio Resource Management(RRM).In the fifth-generation(5G)wireless networks,the capacity of the system is expected to be enhanced by Device-to-Device(D2D)communication.The cooperation and Resources Allocation(RA)in the development of Internet of Things(IoT)enabled 5G wireless networks are investigated in this paper.Developing radio RA methods for D2D communication while not affecting any Mobile Users’(MU)communication is the main challenge of this research.Distinct performance goals such as practising equality in the rates of user data,increasing Network Throughput(NT),and reducing End-to-End Delay(EED)are achieved by RA.The study undertaken on optimising performance for various wireless networks is focused on in this research work.Proposing a polynomialtime Proportional Fair Resource Allocation Method(PFRAM),which considers the MU’s rate requirements,is the prime objective of this paper.Any Resource Allocation Method(RAM)can be used by the proposed method for MU,and the time and differing location channel conditions are the factors to be adapted with.Allotting more than one resource block is allowed by our PFRAM to a D2D pair.The automatic maintenance of battery-less IoT wireless devices’energy level is done potentially using an Extensible Energy Management System(EEMS).Finally,the device’s Node Transmission Power(NTP)can be managed using an Energy-Saving Algorithm(ESA)designed in this work for Node Uplink Data Transmission(NUDT).The trade-off between the Packet Loss Rate(PLR)and NTP is balanced by the algorithm.The cost of NUDT’s average Energy Consumption(EC)is reduced by locating the optical NTP.In order to free much bandwidth for wireless information,NUDT conserves the harvested energy for minimising Radio Frequency(RF)Energy Transmission(ET).MATLAB simulations are used to assess the proposed EEMS.The IoT device’s NTP is managed using ESA designed for NUDT.The significant minimisat

关键词： IoT energy transmission WSN mobility resource allocation

Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER

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Intelligent Automation & Soft Computing 2023年第3期35卷 3545-3555页

作者： C.P.Thamil selvi P.Muneeshwari K.Selvasheela D.Prasanna Department of Computer Science and Engineering Sri Ranganathar Institute of Engineering and TechnologyCoimbatore641009TamilnaduIndia Department of Artificial Intelligence and Machine Learning Saveetha School of Engineering Chennai602105Tamil NaduIndia Department of Computer Science and Engineering Sreesakthi Engineering CollegeKaramadai641104Tamil NaduIndia Department of Computer Science and Engineering Mahendra Engineering CollegeNamakkal637503Tamil NaduIndia

The term sentiment analysis deals with sentiment classiﬁcation based on the review made by the user in a social network.The sentiment classiﬁcation accuracy is evaluated using various selection methods,especially those that deal with algorithm selection.In this work,every sentiment received through user expressions is ranked in order to categorise sentiments as informative and non-informative.In order to do so,the work focus on Query Expansion Ranking(QER)algorithm that takes user text as input and process for sentiment analysis andﬁnally produces the results as informative or non-informative.The challenge is to convert non-informative into informative using the concepts of classiﬁers like Bayes multinomial,entropy modelling along with the traditional sentimental analysis algorithm like Support Vector Machine(SVM)and decision trees.The work also addresses simulated annealing along with QER to classify data based on sentiment analysis.As the input volume is very fast,the work also addresses the concept of big data for information retrieval and processing.The result com-parison shows that the QER algorithm proved to be versatile when compared with the result of SVM.This work uses Twitter user comments for evaluating senti-ment analysis.

关键词： Sentiments QER SVM bayes multinomial big data analysis simulated annealing

End-to-end computational approach to the design of RNA biosensors for detecting miRNA biomarkers of cervical cancer

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Synthetic and Systems Biotechnology 2022年第2期7卷 802-814页

作者： Priyannth Ramasami S.Baabu Shivaramakrishna Srinivasan Swetha Nagarajan Sangeetha Muthamilselvan Thamarai selvi Raghavv R.Suresh Ashok Palaniappan Department of Bioinformatics School of Chemical and BiotechnologySASTRA Deemed UniversityThanjavurTamil Nadu 613401India Department of Bioengineering School of Chemical and BiotechnologySASTRA Deemed UniversityThanjavurTamil Nadu613401India School of Advanced Materials Science and Engineering Sungkyunkwan University(SKKU)Suwon16419Republic of Korea Life Sciences Division TCS ResearchTata Consultancy ServicesChennaiTamil Nadu600042India

Cervical cancer is a global public health subject as it affects women in the reproductive ages,and accounts for the second largest burden among cancer patients worldwide with an unforgiving 50%mortality rate.Relatively scant awareness and limited access to effective diagnosis have led to this enormous disease burden,calling for point-of-care,minimally invasive diagnosis methods.Here,an end-to-end quantitative unified pipeline for diagnosis has been developed,beginning with identification of optimal biomarkers,concurrent design of toehold switch sensors,and finally simulation of the designed diagnostic circuits to assess performance.Using miRNA expression data in the public domain,we identified miR-21-5p and miR-20a-5p as blood-based miRNA biomarkers specific to early-stage cervical cancer employing a multi-tier algorithmic screening.Synthetic riboregulators called toehold switches specific to the biomarker panel were then designed.To predict the dynamic range of toehold switches for use in genetic circuits as biosensors,we used a generic grammar of these switches,and built a neural network model of dynamic range using thermodynamic features derived from mRNA secondary structure and interaction.Second-generation toehold switches were used to overcome the design challenges associated with miRNA biomarkers.The resultant model yielded an adj.R^(2)~0.71,outperforming earlier models of toehold-switch dynamic range.Reaction kinetics modelling was performed to predict the sensitivity of the second-generation toehold switches to the miRNA biomarkers.Simulations showed a linear response between 10 nM and 100 nM before saturation.Our study demonstrates an end-to-end computational workflow for the efficient design of genetic circuits geared towards the effective detection of unique genomic/nucleic-acid signatures.The approach has the potential to replace iterative experimental trial and error,and focus time,money,and efforts.All software including the toehold grammar parser,neural network model and reaction kinetics simulati

关键词： Cervical cancer biosensor miRNA biomarker Synthetic toehold switches Genetic circuit design Reaction network modelling Toehold efficacy modelling Toehold switch grammar Machine learning

Cloud Security Service for Identifying Unauthorized User Behaviour

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Computers, Materials & Continua 2022年第2期70卷 2581-2600页

作者： D.Stalin David Mamoona Anam Chandraprabha Kaliappan S.Arun Mozhi selvi Dilip Kumar Sharma Pankaj Dadheech Sudhakar Sengan Department of Computer Science and Engineering IFET College of EngineeringVillupuram605108Tamil NaduIndia Department of Computer Sciences and Software Engineering Faculty of Basic and Applied SciencesInternational Islamic UniversityIslamabadPakistan Department of Information Technology Bannari Amman Institute of TechnologySathyamangalam638401Tamil NaduIndia Department of Computer Science Engineering DMI St.John the Baptist UniversityMangochiLilongweMalawi Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226Madhya PradeshIndia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement and Gramothan(SKIT)Jaipur302017RajasthanIndia Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia

Recently,an innovative trend like cloud computing has progressed quickly in InformationTechnology.For a background of distributed networks,the extensive sprawl of internet resources on the Web and the increasing number of service providers helped cloud computing technologies grow into a substantial scaled Information Technology service model.The cloud computing environment extracts the execution details of services and systems from end-users and developers.Additionally,through the system’s virtualization accomplished using resource pooling,cloud computing resources become more accessible.The attempt to design and develop a solution that assures reliable and protected authentication and authorization service in such cloud environments is described in this paper.With the help of multi-agents,we attempt to represent Open-Identity(ID)design to find a solution that would offer trustworthy and secured authentication and authorization services to software services based on the cloud.This research aims to determine how authentication and authorization services were provided in an agreeable and preventive manner.Based on attack-oriented threat model security,the evaluation works.By considering security for both authentication and authorization systems,possible security threats are analyzed by the proposed security systems.

关键词： Cloud computing user behaviour access control security model

Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics

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Computers, Materials & Continua 2022年第2期70卷 2563-2579页

作者： D.Stalin David S.Arun Mozhi selvi S.Sivaprakash P.Vishnu Raja Dilip Kumar Sharma Pankaj Dadheech Sudhakar Sengan Department of Computer Science and Engineering IFET College of EngineeringVillupuram605108Tamil NaduIndia Department of Computer Science Engineering DMI St.John the Baptist UniversityMangochiLilongweMalawi Department of Information Technology CMR Engineering College(Autonomous)Hyderabad501401TelanganaIndia Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226Madhya PradeshIndia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement&Gramothan(SKIT)Jaipur302017RajasthanIndia Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia

Irretrievable loss of vision is the predominant result of Glaucoma in the retina.Recently,multiple approaches have paid attention to the automatic detection of glaucoma on fundus images.Due to the interlace of blood vessels and the herculean task involved in glaucoma detection,the exactly affected site of the optic disc of whether small or big size cup,is deemed challenging.Spatially Based Ellipse Fitting Curve Model(SBEFCM)classification is suggested based on the Ensemble for a reliable diagnosis of Glaucomain theOptic Cup(OC)and Optic Disc(OD)boundary correspondingly.This research deploys the Ensemble Convolutional Neural Network(CNN)classification for classifying Glaucoma or Diabetes Retinopathy(DR).The detection of the boundary between the OC and the OD is performed by the SBEFCM,which is the latest weighted ellipse fitting model.The SBEFCM that enhances and widens the multi-ellipse fitting technique is proposed here.There is a preprocessing of input fundus image besides segmentation of blood vessels to avoid interlacing surrounding tissues and blood vessels.The ascertaining of OCandODboundary,which characterizedmany output factors for glaucoma detection,has been developed by EnsembleCNNclassification,which includes detecting sensitivity,specificity,precision,andArea Under the receiver operating characteristic Curve(AUC)values accurately by an innovative SBEFCM.In terms of contrast,the proposed Ensemble CNNsignificantly outperformed the current methods.

关键词： Glaucoma and diabetic retinopathy detection ensemble convolutional neural network spatially based ellipse fitting curve optic disk optic cup

Comprehensive Characterization of Natural Cissus quadrangularis Stem Fiber Composites as an Alternate for Conventional FRP Composites

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Journal of Bionic Engineering 2018年第5期15卷 914-923页

作者： Suyambulingam Indran Robinson Dhas Edwin Raj Brainerd Samuel Sundar Daniel Joseph selvi Binoj Department of Mechanical Engineering Rohini College of Engineering and Technology Anjugramam - 629401 Tamil Nadu India Department of Mechanical Engineering St. Xavier's Catholic College of Engineering Nagercoil - 629003 Tamil Nadu India Department of Metallurgical and Materials Engineering Indian Institute of Technology Roorkee - 247667 Uttarakhand India Department of Mechanical Engineering Sree Vidyanikethan Engineering College (Autonomous) Tirupati - 517102 Andhra Pradesh India

Health and sustainability are the major concerns that drive researchers to find novel materials to replace artificial hazardous materials. In this investigation, the mechanical properties of Cissus quadrangularis Stem Fiber （CQSF） reinforced with unsaturated polyester composite were optimized by varying the fiber length and content. To substantiate the findings, chemical property, thermal property, microstructure, and water absorption property were analyzed. Progressive enhancement of mechanical properties was observed with increasing the fiber content and fiber length up to 30 wt.% and 40 ram. However, beyond that limit, there was a decline in the strength due to improper bonding of fiber with matrix. Optimal values of mechanical property for CQSF composite were obtained at 30 wt.% fiber content and 40 mm fiber length, which are comparable with that of common artificial fiber-reinforced polymer composites.

关键词： CQSF mechanical properties thermogravimetric anlaysis microstructure water absorption