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Chinese Chemical Letters 2014年第3期25卷 419-422页

作者： Sangaraiah Nagarajan Poovan Shanmugavelan Murugan Sathishkumar ramasamy selvi Alagusundaram Ponnuswamy Hariharan Harikrishnan Vellasamy Shanmugaiah Department of Organic Chemistry School of ChemistryMadurai Kamaraj University Department of Microbial Technology School of Biological SciencesMadurai Kamaraj University

An elegant and efficient synthesis of novel 1,2,3-triazole fused 2-aminopyrimidine hybrids has been accomplished for the first time in the green solvent viz, water. The hybrid molecules exhibit significant anti-bacterial activity when screened against three human pathogens viz. Staphylococcus aureus, Pseudomonas aeruginosa and Klebsiella pneumoniae. In comparison to the commercially marketed drug tetracycline, some of them are equally potent and a few are more potent.

关键词： Water promotedAntibacterial1 2 3-TriazolePyrimidine

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 *** 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 *** 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 *** stuffing blend and composition of the composite are optimized using the hybrid model and Genetic Algorithm(GA)to maximize the mechanical and wear-resistant *** 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 *** can be noted that the nano-sized SiC filler particle enhances most of the properties of the composite which diversifies its *** 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

Inflammatory responses in esophageal mucosa before and after laparoscopic antireflux surgery

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World Journal of Gastrointestinal Surgery 2024年第3期16卷 871-881页

作者： Pelin Ergun Sezgi Kipcak Nur selvi Gunel Eser Yildirim Sozmen Serhat Bor Department of Otolaryngology Medical College of WisconsinMilwaukeeWI 53226United States Division of Gastroenterology Ege UniversityFaculty of MedicineEge Reflux GroupIzmir 35100Turkiye Department of Medical Biology Ege UniversityFaculty of MedicineIzmir 35100Turkiye Department of Medical Biochemistry Ege UniversityFaculty of MedicineIzmir 35100Turkiye

BACKGROUND Currently,the primary treatment for gastroesophageal reflux is acid suppression with proton pump inhibitors,but they are not a cure,and some patients don’t respond well or refuse long-term ***,alternative therapies are needed to understand the disease and develop better *** anti-reflux surgery(LARS)can resolve symptoms of these patients and plays a significant role in evaluating esophageal healing after preventing harmful *** LARS improves typical gastroesophageal reflux symptoms in most patients,main-ly by reducing the exposure time to gastric contents in the ***-ration of the inflammatory response and a recovery response in the esophageal epithelium is expected following the cessation of the noxious *** To explore the role of inflammatory biomolecules in LARS and assess the time required for esophageal epithelial *** Of 22 patients with LARS(pre-and post/5.8±3.8 months after LARS)and 25 healthy controls(HCs)were *** subjects underwent 24-h multichannel intraluminal impedance-pH monitoring and upper gastrointestinal endoscopy,during which esophageal biopsy samples were collected using endoscopic *** molecules in esophageal biopsies were investigated by reverse transcription-polymerase chain reaction and multiplex-enzyme-linked immunosorbent *** Post-LARS samples showed significant increases in proinflammatory cytokines[interleukin(IL)-1β,interferon-γ,C-X-C chemokine ligand 2(CXCL2)],anti-inflammatory cytokines[CC chemokine ligand(CCL)11,CCL13,CCL17,CCL26,CCL1,CCL7,CCL8,CCL24,IL-4,IL-10],and homeostatic cytokines(CCL27,CCL20,CCL19,CCL23,C-CL25,CXCL12,migration inhibitory factor)compared to both HCs and pre-LARS ***17 and CCL21 levels were higher in pre-LARS than in HCs(P<0.05).The mRNA expression levels of AKT1,fibroblast growth factor 2,HRAS,and mitogen-activated protein kinase 4 were significantly decreased post-LARS vs pre-LARS.

关键词： Anti-reflux surgery Gastroesophageal reflux disease Cytokine Inflammatory response Esophagus

Scale Invariant Feature Transform with Crow Optimization for Breast Cancer Detection

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Intelligent Automation & Soft Computing 2023年第5期36卷 2973-2987页

作者： A.selvi S.Thilagamani Department of Computer Science and Engineering M.Kumarasamy College of EngineeringKarur639113India

Mammography is considered a significant image for accurate breast cancer ***-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images from the *** CBIR system helps a physician to give better *** features must be described with the input images to retrieve similar ***-ing methods are inefficient and inaccurate by failing in local features ***,efficient digital mammography image retrieval needs to be *** paper proposed reliable recovery of the mammographic image from the data-base,which requires the removal of noise using Kalman filter and scale-invariant feature transform(SIFT)for feature extraction with Crow Search Optimization-based the deep belief network(CSO-DBN).This proposed technique decreases the complexity,cost,energy,and time *** the proposed model using a deep belief network and validation is ***,the testing pro-cess gives better performance compared to existing *** accuracy rate of the proposed work CSO-DBN is 0.9344,whereas the support vector machine(SVM)(0.5434),naïve Bayes(NB)(0.7014),Butterfly Optimization Algorithm(BOA)(0.8156),and Cat Swarm Optimization(CSO)(0.8852).

关键词： SIFT Kalman filter crow search optimization deep neural network noise removal

SA-MSVM:Hybrid Heuristic Algorithm-based Feature Selection for Sentiment Analysis in Twitter

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Computer Systems Science & Engineering 2023年第3期44卷 2439-2456页

作者： C.P.Thamil selvi R.PushpaLaksmi Department of Computer science and Engineering Sri Ranganathar Institute of Engineering and TechnologyCoimbatoreTamilnadu641009India Department of Information and Technology PSNA College of Engineering and TechnologyDindigulTamilnadu624622India

One of the drastically growing and emerging research areas used in most information technology industries is Bigdata *** is created from social websites like Facebook,WhatsApp,Twitter,*** about products,persons,initiatives,political issues,research achievements,and entertainment are discussed on social *** unique data analytics method cannot be applied to various social websites since the data formats are *** approaches,techniques,and tools have been used for big data analytics,opinion mining,or sentiment analysis,but the accuracy is yet to be *** proposed work is motivated to do sentiment analysis on Twitter data for cloth products using Simulated Annealing incorporated with the Multiclass Support Vector Machine(SA-MSVM)***-MSVM is a hybrid heuristic approach for selecting and classifying text-based sentimental words following the Natural Language Processing(NLP)process applied on tweets extracted from the Twitter dataset.A simulated annealing algorithm searches for relevant features and selects and identifies sentimental terms that customers ***-MSVM is implemented,experimented with MATLAB,and the results are *** results concluded that SA-MSVM has more potential in sentiment analysis and classification than the existing Support Vector Machine(SVM)***-MSVM has obtained 96.34%accuracy in classifying the product review compared with the existing systems.

关键词： Bigdata analytics Twitter dataset for cloth product heuristic approaches sentiment analysis feature selection classification

Influence of SiC Nanoparticles Reinforcement in Areca/Tamarind Hybrid Biopolymer Composites:Thermo-mechanical,Tribological and Morphological Features

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Journal of Bionic Engineering 2023年第4期20卷 1723-1736页

作者： Gajendiran Hariharan Pattipati Chinna Krishnamachary Joseph selvi Binoj Bright Brailson Mansingh Department of Mechanical Engineering University College of Engineering KancheepuramKancheepuram631552TamilnaduIndia Department of Mechanical Engineering J.B.Institute of Engineering&Technology(Autonomous)MoinabadHyderabad500075TelanganaIndia Institute of Mechanical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105TamilnaduIndia Department of Mechanical Engineering Sri Ramakrishna Engineering CollegeCoimbatore641022TamilnaduIndia

Natural fibers are displacing synthetic fibers as reinforcement in polymer composites due to their ease of processing,low cost,wide availability,biodegradability and *** this study,industrially discarded agro-waste areca fruit husk and tamarind fruit fibers were processed and used as reinforcement with unsaturated polyester resin to create a hybrid composite containing SiC nano filler *** SiC nano filler particles were varied from 1 to 4 wt.%in incremental steps of 1 wt.%with a constant 40 wt.%fiber reinforcement to determine its impact on the thermo-mechanical,morphological,wear and hygro-aging properties of the developed hybrid ***,the composite made of 3 wt.%SiC nano filler particles exposed overall better properties with better tensile(9.137 MPa),flexural(104.056 MPa),impact(7.983 J/cm^(2)),hardness(91.577 HRRW),wear(2.2×10^(-6)µm),crystallite size(7.9 nm)and thermal stability(360℃).Further advancement in weight percent of filler material,has worsened the properties due to poor dispersion and agglomeration factors by reducing the tensile,flexural,impact and hardness characteristics by 4.6%,6.4%,4.5%and 2.18%***,the microstructural investigation revealed the failure pattern,information on interfacial adhesion between the reinforcement,filler and matrix of the hybrid *** addition,the crystalline characteristics and availability of functional groups in hybrid polymer composite with 3 wt.%SiC nano filler particles were disclosed by X-ray diffraction(XRD)and Fourier Transform Infrared(FTIR)spectrum analysis,*** above findings reflects that the produced hybrid polymer composites suits well for interiors of automobiles and maritime interior applications to support loads with in the specified range.

关键词： Bio-waste Nano SiC filler Thermogravimetric analysis Mechanical properties Water absorption properties

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 *** Media Access Control(MAC)is a data interaction network protocol,which outperforms the IEEE *** 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 *** 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 *** advantage of using FD-MAC will increase the range of *** takes benefit of the FD mode of the antenna,which outperforms additionally 80%for all assessed *** this analysis,it was considered of that Psz=8184 bits and Rc=1Mbps;that’s,T_(DATA) represents an excellent portion of total *** 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 *** 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

Role of omega-3 polyunsaturated fatty acids,citrus pectin,and milk-derived exosomes on intestinal barrier integrity and immunity in animals

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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 *** physiological inflammation and oxidative stress that arises firstly disrupts the intestinal epithelial barrier followed by other components of the gastrointestinal *** the present review,the interrelationship between intestinal barrier inflammation and oxidative stress that contributes to the pathogenesis of inflammatory bowel disease was ***,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 *** 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

NDN Content Poisoning Mitigation Using Bird Swarm Optimization and Trust Value

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Intelligent Automation & Soft Computing 2023年第4期36卷 833-847页

作者： S.V.Vijaya Karthik J.Arputha Vijaya selvi Department of Electronics and Communication Engineering Kings College of EngineeringPudukkottai DistrictTamilnaduIndia

Information-Centric Networking(ICN)is considered a viable strategy for regulating Internet consumption using the Internet’s underlying *** Named Data Networking(NDN)and its reference-based implementa-tion,the NDN Forwarding Daemon(NFD),are the most established ICN solu-tions,their vulnerability to the Content Poisoning Attack(CPA)is regarded as a severe threat that might dramatically impact this *** Poisoning can signiﬁcantly minimize the impact of NDN’s universal data *** veriﬁcation signatures to protect against content poisoning attacks may be imprac-tical due to the associated costs and the volume of messages sent across the net-work,resulting in high computational ***,in this research,we designed a method in NDN called Bird Swarm Optimization Algorithm-Based Content Poisoning Mitigation(BSO-Content Poisoning Mitigation Scheme).By aggregating the security information of entire routers along the full path,this sys-tem introduces the BSO to explore the secure transmission path and alter the con-tent retrieval ***,based on the determined trustworthy value of each node,the BSO-Content Poisoning Mitigation Scheme can bypass malicious routers,preventing them from disseminating illicit content in the ***-ally,the suggested technique can minimize content poisoning utilizing removing erroneous Data packets from the cache-store during the pathﬁnding *** proposed method has been subjected to extensive analysis compared with the ROM scheme and improved performance justiﬁed in several ***-Con-tent Poisoning Mitigation Scheme is more efﬁcient and faster than the ROM tech-nique in obtaining valid Data packets and resulting in a higher good cache hit ratio in a comparatively less amount of time.

关键词： Named data network content poisoning bird swarm optimization content validation fake content

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)*** cooperation and Resources Allocation(RA)in the development of Internet of Things(IoT)enabled 5G wireless networks are investigated in this *** radio RA methods for D2D communication while not affecting any Mobile Users’(MU)communication is the main challenge of this *** 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 *** study undertaken on optimising performance for various wireless networks is focused on in this research *** a polynomialtime Proportional Fair Resource Allocation Method(PFRAM),which considers the MU’s rate requirements,is the prime objective of this *** 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 *** more than one resource block is allowed by our PFRAM to a D2D *** 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 *** cost of NUDT’s average Energy Consumption(EC)is reduced by locating the optical *** 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 *** IoT device’s NTP is managed using

关键词： IoT energy transmission WSN mobility resource allocation