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Effect of Emilia sonchifolia(Linn.)DC on alcohol- induced oxidative stress in pancreas of male albino rats

Asian Pacific Journal of Tropical Medicine 2011年第12期4卷 973-977页

作者： Dominic Sophia murugesan gomathy Thomas Shebin Paramasivam Ragavendran Chinthamony Arulraj Velliyur Kanniapan Gopalakrishnan Department of Biochemistry Karpagam UniversityCoimbatore-641021(T.N.)India

Objective:To explore the efficacy of n-hexane extract of Emilia sonchifolia(***) against ethanol induced pancreatic dysfunction in the young Wistar albino ***:The rats were divided into four *** rats in group I received distilled water orally,groupⅡreceived oral administration of 20%(w/v) ethanol dissolved in drinking water,groupⅢreceived oral administration of 20%(w/v) ethanol in distilled water+n-hexane extract of *** (250 mg/kg body weight),and groupⅣreceived oral administration of n-hexane extract of ***(250 mg/kg body weight) *** marker enzymes aspartate aminotransferase (AST),alanine aminotransferase(ALT),pancreatic enzymatic antioxidants superoxide dismutase. lipid peroxidation,catalase,glutathione peroxidase,non-enzymatic antioxidants glutathione and vitamin C were measured and ***:Administration of 20%ethanol lor 16 weeks significantly increased the liver marker enzymes AST,ALT(P<0.05).reduced the pancreatic enzymatic antioxidants superoxide *** peroxidation,catalase,glutathione peroxidase,glutathione and vitamin C(P<0.05).Histopathological examination showed that the ethanol provoked the oxidative stress which was demonstrated as pancreatic necrosis and *** administration of n-hexane extract of ***(250 mg/kg body weight) protected the pancreas against the damage induced by ethanol which was confirmed by the histopathological studies and the normalization of biochemical ***: Thus n-hexane extract of *** shows a promise in therapeutic use in alcohol induced oxidative stress.

关键词： Pancreas Ethanol Emilia sonchifolia Antioxidants Histopathology

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Efficient Routing Protocol with Localization Based Priority&Congestion Control for UWSN

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Computers, Materials & Continua 2023年第3期74卷 4747-4768页

作者： S.Sandhiyaa C.gomathy Electronics and Communication of Engineering SRM Institute of Science and TechnologyVadapalaniChennai600026TNIndia

The nodes in the sensor network have a wide range of uses,particularly on under-sea links that are skilled for detecting,handling as well as *** underwater wireless sensor networks support collecting pollution data,mine survey,oceanographic information collection,aided navigation,strategic surveillance,and collection of ocean samples using detectors that are submerged ***,congestion routing,and prioritizing the traffic is the major issue in an underwater sensor *** scheme differentiates the different types of traffic and gives every type of traffic its requirements which is considered regarding network *** of localization error using the proposed angle-based forwarding scheme is explained in this *** choose the shortest path to the destination using the fitness function which is calculated based on fault ratio,dispatching of packets,power,and distance among the *** work contemplates congestion conscious forwarding using hard stage and soft stage schemes which reduce the congestion by monitoring the status of the energy and buffer of the nodes and controlling the *** study with the use of the ns3 simulator demonstrated that a given algorithm accomplishes superior performance for loss of packet,delay of latency,and power utilization than the existing algorithms.

关键词： Congestion aware routing angle-based forwarding scheme fitness function hard stage soft stage scheme

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Hybrid Deep Learning Method for Diagnosis of Cucurbita Leaf Diseases

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Computer Systems Science & Engineering 2023年第3期44卷 2585-2601页

作者： V.Nirmala B.gomathy M.Kumarasamy College of Engineering KarurTamilnaduIndia K.P.R.Institute of Technology CoimbatoreTamilnaduIndia

In agricultural engineering,the main challenge is on methodologies used for disease *** manual methods depend on the experience of the *** to large variation in environmental condition,disease diagnosis and classification becomes a challenging *** from the disease,the leaves are affected by climate changes which is hard for the image processing method to discriminate the disease from the other *** Cucurbita gourd family,the disease severity examination of leaf samples through computer vision,and deep learning methodologies have gained popularity in recent *** this paper,a hybrid method based on Convolutional Neural Network(CNN)is proposed for automatic pumpkin leaf image *** Proposed Denoising and deep Convolutional Neural Network(CNN)method enhances the Pumpkin Leaf Pre-processing and *** time data base was used for training and testing of the proposed *** on existing pre-trained network Alexnet and googlenet was investigated is done to evaluate the performance of the pro-posed *** system and computer simulations were performed using Matlab tool.

关键词： Cucurbita farming disease diagnosis classification Convolutional Neural Network(CNN) preprocessing deep learning

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Plant growth-promoting rhizobacteria(PGPR)and its mechanisms against plant diseases for sustainable agriculture and better productivity

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BIOCELL 2022年第8期46卷 1843-1859页

作者： PRANAB DUTTA gomathy MUTHUKRISHNAN SABARINATHAN KUTALINGAM GOPALASUBRAMAIAM RAJAKUMAR DHARMARAJ ANANTHI KARUPPAIAH KARTHIBA LOGANATHAN KALAISELVI PERIYASAMY MARUMUGAM PILLAI GK UPAMANYA SARODEE BORUAH LIPA DEB ARTI KUMARI MADHUSMITA MAHANTA PUNABATI HEISNAM AK MISHRA School of Crop Protection Central Agricultural University(Imphal)UmiamIndia Department of Soil Science and Agricultural Chemistry Agricultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Department of Crop physiology Agricultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Departments of Pulses Tamil Nadu Agricultural UniversityCoimbatoreKoyingbatoreIndia Department of Environmental Sciences Horticultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Department of Plant pathology Assam Agricultural UniversityDhubriIndia KVK-Tinsukia Assam Agricultural UniversityTinsukiaIndia Department of Plant Pathology Central Agricultural University(Imphal)PasighatIndia Department of Plant Pathology Dr Rajendra Prasad Central Agricultural UniversityBiharIndia

Plant growth-promoting rhizobacteria(PGPR)are specialized bacterial communities inhabiting the root rhizosphere and the secretion of root exudates helps to,regulate the microbial dynamics and their interactions with the *** bacteria viz.,Agrobacterium,Arthobacter,Azospirillum,Bacillus,Burkholderia,Flavobacterium,Pseudomonas,Rhizobium,etc.,play important role in plant growth *** addition,such symbiotic associations of PGPRs in the rhizospheric region also confer protection against several diseases caused by bacterial,fungal and viral *** biocontrol mechanism utilized by PGPR includes direct and indirect mechanisms direct PGPR mechanisms include the production of antibiotic,siderophore,and hydrolytic enzymes,competition for space and nutrients,and quorum sensing whereas,indirect mechanisms include rhizomicrobiome regulation *** of root exudates,phytostimulation through the release of phytohormones viz.,auxin,cytokinin,gibberellic acid,1-aminocyclopropane-1-carboxylate and induction of systemic resistance through expression of antioxidant defense enzymes viz.,phenylalanine ammonia lyase(PAL),peroxidase(PO),polyphenyloxidases(PPO),superoxide dismutase(SOD),chitinase andβ-*** the suppression of plant diseases potent bio inoculants can be developed by modulating the rhizomicrobiome through rhizospheric *** addition,understandings of different strategies to improve PGPR strains,their competence,colonization efficiency,persistence and its future implications should also be taken into consideration.

关键词： Plant growth-promoting rhizobacteria Biocontrol Plant diseases PGPR mechanisms Sustainable agriculture

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