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Hepatoprotective efficiency of methanol extract of red algae against chromium-induced oxidative damage in Wistar rats

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Journal of Coastal Life Medicine 2016年第7期4卷 541-546页

作者： Murugesan Subbiah Bhuvaneswari Sundaresan Kalandar,Ameer sivamurugan vajiravelu Division of Algal Biotechnology and Bionano Technology Post Graduate and Research Department of BotanyPachaiyappa’s CollegeChennai600030.India Faculty of Medical Sciences Haramaya UniversityHararEthiopia Post Graduate and Research Department of Chemistry Pachaiyappa’s CollegeChennai600030India

Objective:To investigate the hepatoprotective activity of red algae Portieria hornemannii(Lyngbye)Silva(***)and Spyridia fusiformis Boergesen(***)by using the chromium treated rat liver as the animal ***:The extract of red algae at a dosage of 0.200 g/kg of whole body weight was orally administrated to Cr(VI)intoxicated rats for 28 consecutive *** effect of drug in rats was evaluated by comparing the degree of the production of enzymes responsible for antioxidant activity such lipid peroxidase,superoxide dismutase,catalase and reduced glutathione with Cr(VI)analogs in the absence of any secondary *** overall damage of liver was detected by measuring serum enzymes such as aspartate amino transferase and alanine aminotransferase activities which released into the blood from the damaged ***:It was observed that these enzyme levels were noticed in the animals treated with methanol extracts of red algae(200 mg/kg)through preventing the leakage of the above enzymes into the *** hepatoprotection obtained using LIV 52(standard reference drug)appeared relatively *** antihepatotoxic potential of red algae *** and *** might be due to their antioxidative and membrane stabilizing ***:Our results indicated that the extract of *** and *** obtained from methanol could be a promising hepatoprotective agent against chromium(VI)-induced liver damage.

关键词： Oxidative liver injury Red algae Chromium(VI) Hepatoprotection Lipid peroxidantion Antioxidant enzymes

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In vitro cytotoxic studies of red algae Portieria hornemannii and Spyridia fusiformis against Dalton’s lymphoma ascite and Ehrlich ascite carcinoma cell lines

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Journal of Coastal Life Medicine 2016年第12期4卷 949-952页

作者： Murugesan Subbiah Bhuvaneswari Sundaresan Thamizh Selvam Natarajan sivamurugan vajiravelu Division of Algal Biotechnology and Bionano Technology Post Graduate and Research Department of BotanyPachaiyappa’s CollegeChennai-600030India Central Ayurveda Research Institute for Neuromuscular and Musculo-Skeletal Disorders (CCRASMinistry of AyushGovt.of India)CheruthuruthyThrissurKerala-679531India Post Graduate and Research Department of Chemistry Pachaiyappa’s CollegeChennai 600030India

Objective:To study the in vitro cytotoxic activities of methanol extract of Portieria hornemannii(***)and Spyridia fusiformis(***)using Dalton’s lymphoma ascite and Ehrlich ascite carcinoma cell ***:The effect of cytotoxicity of *** and *** was evaluated with the concentrations(100 to 200μg/mL)and assessed for the antitumour activity *** selected cell lines using Trypan blue ***:The methanol extracts of *** and *** showed potent cytotoxic activity with IC_(50)values of(209.00±0.05)μg/mL and(190.00±0.05)μg/mL against the Dalton’s lymphoma ascite cell line and IC_(50)values of(190.00±0.05)μg/mL and(182.00±0.05)μg/mL against the Ehrlich ascite carcinoma cell line *** vitro cytotoxicity against the tested cancer cell lines showed strong activity by the abnormal activities of algal residue in the normal ***:The methanol solvent residue of red algae(*** and ***)could be a good *** would be a novel marine resource as a antitumor medicine demonstrated by cytotoxic studies that the above marine algae can be a potential candidate sources as antitumor drugs.

关键词： Cytotoxic activity Red algae Dalton’s lymphoma ascite cell line Ehrlich ascite carcinoma cell line

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Diabetic Retinopathy Diagnosis Using Interval Neutrosophic Segmentation with Deep Learning Model

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Computer Systems Science & Engineering 2023年第3期44卷 2129-2145页

作者： V.Thanikachalam M.G.Kavitha V.sivamurugan Department of Information Technology Sri Sivasubramaniya Nadar College of EngineeringChennai603110India Department of Computer Science and Engineering University College of Engineering PtukottaiRajamadam614701India

In recent times,Internet of Things(IoT)and Deep Learning(DL)mod-els have revolutionized the diagnostic procedures of Diabetic Retinopathy(DR)in its early stages that can save the patient from vision *** the same time,the recent advancements made in Machine Learning(ML)and DL models help in developing Computer Aided Diagnosis(CAD)models for DR recognition and *** this background,the current research works designs and develops an IoT-enabled Effective Neutrosophic based Segmentation with Optimal Deep Belief Network(ODBN)model i.e.,NS-ODBN model for diagnosis of *** presented model involves Interval Neutrosophic Set(INS)technique to dis-tinguish the diseased areas in fundus *** addition,three feature extraction techniques such as histogram features,texture features,and wavelet features are used in this ***,Optimal Deep Belief Network(ODBN)model is utilized as a classification model for *** model involves Shuffled Shepherd Optimization(SSO)algorithm to regulate the hyperparameters of DBN technique in an optimal *** utilization of SSO algorithm in DBN model helps in increasing the detection performance of the model *** presented technique was experimentally evaluated using benchmark DR dataset and the results were validated under different evaluation *** resultant values infer that the proposed INS-ODBN technique is a promising candidate than other existing techniques.

关键词： Diabetic retinopathy machine learning internet of things deep belief network image segmentation

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