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In vitro antiplasmodial activity of methanolic extracts from seaweeds of South West Coast of India

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Asian Pacific Journal of Tropical Medicine 2011年第11期4卷 862-865页

作者： S Ravikumar G Ramanathan M Gnanadesigan A Ramu V vijayakumar School of Marine Sciences Department of Oceanography and Coastal Area StudiesAlagappa UniversityThondi CampusThondi - 623 409Ramanathapuram DistrictTamil NaduIndia Department of Microbiology V.H.S.N.College.Virudhunagar DistrictTamil NaduIndia School of Chemistry Department of Inorganic ChemistryMadurai Kamaraj UniversityMadurai DistrictTamil NaduIndia

Objective:To identify the in vitro antiplasmodial activity of seaweed plants against Plasmodium falciparum ***:A total of eight seaweeds were collecled from Kanvakumari district,Tainilnadu,*** in vitro antiplasmodial activity was performed in 96 well plates against Plasmodium falciparum,and preliminary phytochemcial analysis were performed for the ***:Of the selected plants Enteromorpha intestinalis(2.61%) showed maximum percentage of *** minimum concentration of inhibitory(IC_(50)) value was observed with Chaetomorpha antennina[(26.37±4.14)μg/ml.]further,the positive controls such as chloroquine and artemether showed antiplasmodial activities(IC_(50)) with(19.10±5.93) and(6.03±0.21)μg/mL concentrations,*** preliminary phytochemical analysis of the seaweed extracts showed a variety of phytochemical constituents such as carboxylic acids,phenols,protein, resins,steroids and ***:The antiplasmodial activity of the seaweed extract might due to the presence of sugars and phenolic *** the present findings,it is concluded that,the seaweed extract of Chaetomorpha antennina can be further used as a putative antiplasmodial drugs in near future.

关键词： Antiplasmodial activity IC_(50) Phytochemical Seaweeds Plasmodium falciparum

A Chaotic Pulse Train Generator Based on Henon Map

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Intelligent Automation & Soft Computing 2023年第7期37卷 1197-1207页

作者： Babu H.Soumya N.vijayakumar K.Gopakumar College of Engineering Trivandrum695016India Government Engineering College Barton HillTrivandrum695035India APJ Abdul Kalam Technological University Trivandrum695016India

The Henon map forms one of the most-studied two-dimensional discrete-time dynamical systems that exhibits chaotic *** Henon map takes a point(Xn,Yn)in the plane and maps it to a new point(Xn+1,Yn+1).In this paper,a chaotic pulse generator based on the chaotic Henon map is *** consists of a Henon map function subcircuit to realize the Henon map and another subcircuit to perform the iterative *** Henon map subcircuit comprises operational amplifiers,multipliers,delay elements and resistors,whereas,the iterative subcircuit is implemented with a simple design that comprises of an edge forming circuit followed by a monostable multivibrator and a voltage controlled switch without the use of any clock *** proposed design can be used to realize the Henon map and also to generate a chaotic pulse train,with a controllable time interval and pulse *** proposed circuit is implemented and simulated using Multisim 13.0 and MATLAB *** chaotic nature of the generated pulse train and also the time interval between the consecutive pulses is verified by the calculation of its Lyapunov exponents.

关键词： Chaos iterated maps henon map chaotic pulse train lyapunov exponents

The Variability of the Interannual Oscillations of the Indian Summer Monsoon Rainfall

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Advances in Atmospheric Sciences 1995年第1期12卷 95-102页

作者： R. vijayakumar J. R. Kulkarni Indian Institute of Tropical Meteorology Pune-411008 India Indian Institute of Tropical Meteorology Pune-411008 India

A new method of analysis namely, Singular Spectrum Analysis (SSA) is applied to the Indian Summer Monsoon (June-September) Rainfall (ISMR) series. The method is efficient in extracting the statistically significant oscillations with periods 2.8 and 2.3 year from the white noise of the ISMR series. The study shows that 2.8 / 2.3 year cycle captures the variability of the ISMR related to Southern Oscillation / Quasi Biennial Oscillation. The temporal structure of these oscillations show that these are in phase in extreme (excess and drought) monsoon conditions as well as in El Nino Southern Oscillation (ENSO) years. Both these oscillations show minimum variability during the period 1920-1940 and there is an increasing trend in the variability of these oscillations in the recent decades. The study enables to obtain pure signal consisting of reconstructed time series using these two Oscillations, from the original white noise series.

关键词： Singular Spectrum Analysis Monsoon Variability.

Detection of Diabetic Retinopathy from Retinal Images Using DenseNet Models

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Computer Systems Science & Engineering 2023年第4期45卷 279-292页

作者： R.Nandakumar P.Saranya vijayakumar Ponnusamy Subhashree Hazra Antara Gupta Department of ECE K S R Institute for Engineering and TechnologyTiruchengode637215India Department of Computer Science and Engineering SRM Institute of Science and TechnologyChennai603203India Department of Electronics and Communication and Engineering SRM Institute of Science and TechnologyChennai603203India

A prevalent diabetic complication is Diabetic Retinopathy(DR),which can damage the retina’s veins,leading to a severe loss of *** treated in the early stage,it can help to prevent vision *** since its diagnosis takes time and there is a shortage of ophthalmologists,patients suffer vision loss even before ***,early detection of DR is the necessity of the *** primary purpose of the work is to apply the data fusion/feature fusion technique,which combines more than one relevant feature to predict diabetic retinopathy at an early stage with greater *** procedures for diabetic retinopathy analysis are fundamental in taking care of these *** profound learning for parallel characterization has accomplished high approval exactness’s,multi-stage order results are less noteworthy,especially during beginning phase *** Connected Convolutional Networks are suggested to detect of Diabetic Retinopathy on retinal *** presented model is trained on a Diabetic Retinopathy Dataset having 3,662 images given by *** results suggest that the training accuracy of 93.51%0.98 precision,0.98 recall and 0.98 F1-score has been achieved through the best one out of the three models in the proposed *** same model is tested on 550 images of the Kaggle 2015 dataset where the proposed model was able to detect No DR images with 96%accuracy,Mild DR images with 90%accuracy,Moderate DR images with 89%accuracy,Severe DR images with 87%accuracy and Proliferative DR images with 93%accuracy.

关键词： Convolutional Neural Networks vision loss pathogenic blood vessels DenseNet AlexNet ResNet

Nickel oxide nanoparticles catalyzed synthesis of poly-substituted quinolines via Friedlander hetero-annulation reaction

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Chinese Chemical Letters 2014年第12期25卷 1595-1600页

作者： B.Palakshi Reddy P.Iniyavan S.Sarveswari V.vijayakumar Centre for Organic and Medicinal Chemistry VIT University

Reusable acidic nickel oxide nanoparticles have been synthesized,characterized and applied as a catalyst to convert 2-aminoaryl ketones and β-ketoesters/ketones into the corresponding quinolines in good yields with h... 详细信息

关键词： o-Aminoaryl ketones NiO NPs Friedlander annulation Quinolines

Free radical scavenging potential of Lagenaria siceraria(Molina) Standl fruits extract

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Asian Pacific Journal of Tropical Medicine 2013年第1期6卷 20-26页

作者： vijayakumar Mayakrishnan Selvi Veluswamy Krishnakumari Shanmuga Sundaram Priya Kannappan Noorlidah Abdullah Institute of Biological Science Faculty of ScienceUniversity of MalayaKuala Lumpur-50603Malaysia Department of Biochemistry Kongunadu Arts and ScienceCoimbatore-641029TamilnaduIndia Department of Biochemistry.PSG college of Arts and Science Coimbatore-641029TamilnaduIndia

Objective:To elucidate free radical scavenging activity of ethanolic extract Lagenaria siceraria （***）（Molina） ***:The free radical scavenging activity of the L siceraria （Molina） fruit extract was assayed by usingα,α-diphenyl-β-picrylhydrazyl（DPPH）. 2,20-azinobis 3-ethyl henzothiazoline-6-sulfonate（ABTS）,FRAP,reducing power,chelating ability andβ-carotene bleaching ***:The IC50values of DPPH and ABTS radicalscavenging activity was found to be 1.95 mg/mL and 19 mg/mL,*** ferrous chelation assay,the percentage of inhibition was found to be 89.21%.The reducing power of ethanolic extract of L siceraria（Molina） fruit was 0.068 at 1 mg/mL and increased to 0.192 at 5 mg/mL Theβ-carotene linoleate bleaching assay was 46.7%at 5 mg/mL and antioxidant activity using FRAP at 0.305 for 1 mg/mL to 0.969 for 5 mg/mL Conclusions:The results indicate that L siceraria （Molina） fruit could be an important sources of natural radical scavengers.

关键词： Lagenaria siceraria Antioxidant DPPH ABTS Free radical

Antimicrobial and antiproliferative prospective of kosinostatin-a secondary metabolite isolated from Streptomyces sp.

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Journal of Pharmaceutical Analysis 2015年第6期5卷 378-382页

作者： Vinayagam Rambabu Subramaniyan Suba Suburamaniyan vijayakumar P.G. and Research Department of Botany and Microbiology A.V.V.M. Sri Pushpam College (Autonomous) K.K Biotec Lab Service

Cancer is a communal health hazard worldwide. The present investigation attempts to evaluate anti- microbial and anticancer potential of kosinostatin on mammary carcinoma cell line （MCF-7）. The anticancer and antiproliferative activities of kosinostatin were analyzed on MCF cell line by MTT assay and cytotoxicity assays like lactate dehydrogenase （LDH） and glutathione （GSH）. The secondary metabolite kosinostatin exhibited its apoptotic nature by expressing p53 protein. Collectively, the results acquired from this study promise that kosinostatin shows the potent anticancer activity.

关键词： Kosinostatin Secondary metabolite Streptomyces sp. Cytotoxic activity MCF-7

Improved Specificity for Breast Cancer Screening Using an Oncogenic(miRNA-21)and a Gene Suppressor(miRNA-195)miRNA in the Serum for a Point of Care(POC)Screening Solution

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Biomedical and Environmental Sciences 2023年第6期36卷 549-552页

作者： Krishnamoorthy Kokilavani Ancy Terryna Chanayiltharayil John Bindu Salim Madhulika vijayakumar Sankar Ganesh Jeyaraj PSG Institute of Advanced Studies Avinashi RoadPeelameduCoimbatore641004 PSG Institute of Medical Science and Research Avinashi Road PeelameduCoimbatore641004 PSG Center for Molecular Medicine and Therapeutics PSG Institute of Medical Sciences and ResearchCoimbatoreTamil Nadu641004India PSG Centre for Genetics and Molecular Biology Off Avinashi RoadPeelameduCoimbatoreTamil Nadu641004India

The overall incidence and burden caused by breast cancer is increasing,affecting the global socio-economic development and life expectancy[1].According to“WHO Global Breast Cancer Initiative(GBCI)reports”,if the mortality rate due to breast cancer can be reduced by 2.4%annually,we may prevent 2.5 million breast cancer deaths between2020-2040.

关键词： Breast Cancer Serum

Zero-DCE++Inspired Object Detection in Less Illuminated Environment Using Improved YOLOv5

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Computers, Materials & Continua 2023年第12期77卷 2751-2769页

作者： Ananthakrishnan Balasundaram Anshuman Mohanty Ayesha Shaik Krishnadoss Pradeep Kedalu Poornachary vijayakumar Muthu Subash Kavitha Centre for Cyber Physical Systems Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India School of Computer Science and Engineering Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India School of Information and Data Sciences Nagasaki UniversityNagasaki8528521Japan

Automated object detection has received the most attention over the *** cases ranging from autonomous driving applications to military surveillance systems,require robust detection of objects in different illumination ***-of-the-art object detectors tend to fare well in object detection during daytime ***,their performance is severely hampered in night light conditions due to poor *** address this challenge,the manuscript proposes an improved YOLOv5-based object detection framework for effective detection in unevenly illuminated nighttime ***,the preprocessing strategies involve using the Zero-DCE++approach to enhance lowlight *** is followed by optimizing the existing YOLOv5 architecture by integrating the Convolutional Block Attention Module(CBAM)in the backbone network to boost model learning capability and Depthwise Convolutional module(DWConv)in the neck network for efficient compression of network *** Night Object Detection(NOD)and Exclusively Dark(ExDARK)dataset has been used for this *** proposed framework detects classes like humans,bicycles,and *** demonstrate that the proposed architecture achieved a higher Mean Average Precision(mAP)along with a reduction in model size and total parameters,*** proposed model is lighter by 11.24%in terms of model size and 12.38%in terms of parameters when compared to baseline YOLOv5.

关键词： Object detection deep learning nighttime road scenes YOLOv5 DWConv Zero-DCE++ CBAM