4,505 results on '"Sivakumar, S."'
Search Results
2. Gene action and contribution of different traits for enhanced green fodder yield and quality in pearl millet - napier interspecific hybrids
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Keerthana, K., Ganesan, K. N., lyanar, K., Sivakumar, S. D., and Jeyakumar, P.
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- 2022
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3. Genetic studies on green fodder yield and quality traits in fodder maize (Zea mays L.)
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Pavithra, A., Ganesan, K. N., Meenakumari, B., and Sivakumar, S. D.
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- 2022
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4. A high biomass yielding legume fodder variety Desmanthus CO2 suited for all states of India
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Iyanar, K., Kalamani, A., Babu, C., Sudhagar, R., Sivakumar, S. D., Premnath, Ameena, Ezhilarasi, T., Ganesamurthy, K., and Geetha, S.
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- 2021
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5. A high green fodder yielding Cumbu Napier hybrid grass CO 6 suited for the states of Central and North Western Zones
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Babu, C., Sudhagar, R., Iyanar, K., Sivakumar, S. D., Ezhilarasi, T., Ganesamurthy, K., and Geetha, S.
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- 2021
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6. A new high yielding dual purpose sorghum variety CO 32 for Tamil Nadu
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Selvi, B., Ganesamurthy, K., Sivakumar, S., Jeyaprakash, P., Yuvaraja, A., Kavithamani, D., Latha, R., Malini, N., Kalpana, R., Manoranjitham, S., Sudha, A., Anandhi, P., Manimegalai, S., Vadivel, N., Srinivasan, T., Vennila, P., Ravikesavan, R., and Geetha, S.
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- 2021
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7. Therapeutic Uses of Momordica Cymbalaria: Review
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Kiruba, S., Sumathy, Govindarajan, and Sivakumar, S.
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- 2019
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8. Efficient data routing for agricultural landscapes: ensemble fuzzy crossover based golden jackal approach
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Sivakumar, S., Yamini, B., Palaniswamy, Subhashini, and Vadivelan, N.
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- 2024
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9. Demand driven supply chains in augmenting the farm income of vegetable producers-evidence from eastern dry zone of Karnataka
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Kiran, R., Sivakumar, S. D., and Ranganath, G
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- 2018
10. Testing of power transformers
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Sivakumar, S. and Jaikhan, J.
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- 2018
11. The epidemiology of physocephalosis in camel in the united arab emirates
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Schuster, R.K., Kinne, J., Sivakumar, S., Nagy, P., Juhasz, J., Ismail, A.A., and Baumann, M.P.O.
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- 2017
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12. A Review of Cofiring Technologies to Reduce Greenhouse Gas Emissions from Coal Fired Power Plants
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Sivakumar, S., Rajesh, S., Pradeep, P., and Suresh, S.
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- 2017
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13. Design of Coproductive Systems: is Service Modularity Preferable over Resource Flexibility?
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Sivakumar, S. and Mahadevan, B.
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- 2024
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14. Isolation and characterization of l-asparaginase from seaweeds collected from Rameswaram coast, Southeast India
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Sivakumar, S. R., Annamalai, Aravinth, Ramasamy, Manikandan, and Sarbudeen, M.
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- 2024
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15. Use of dexemedetomodine or buprenorphine along with bupivacaine for ultrasound guided brachial plexus block: a comparative randomized prospective study
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Sivakumar, S. and Rajarajeswaran, K.
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- 2016
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16. Feature Selection Using ABC forthe Lung CT Scan Images
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Sivakumar, S. and Chandrasekar, C.
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- 2014
17. Internet of things connecting digital world through visible light communication
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Vijayalakshmi, B. Anitha, Pasupathi, Chitra, Subhashini, P., and Sivakumar, S.
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- 2024
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18. Economical probing of Chaetomorpha aerea seaweed biostimulant and harnessing its growth sustainability potential on Arachis hypogaea L.
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Sivakumar, S. R., Ravichandran, Mythili, and Dineshkumar, R.
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- 2024
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19. Performance Optimization in Photovoltaic Systems: A Review
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Sangeetha, B., Manjunatha, K., Thirusenthil Kumaran, P., Sheela, A., Yamuna, K. S., and Sivakumar, S.
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- 2024
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20. Enhanced Sun Light Driven Photocatalytic Activity of Silver Tungstate/Reduced Graphene Oxide Nanocomposites for Methylene Blue Dye Degradation
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Malathi, A., Priyadharsan, A., Ragupathy, S., Sivakumar, S., Vadivel, P., Arun, V., Sivakumar, M., and Sakthi, D.
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- 2024
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21. Boosted solar-driven photocatalysis: silver molybdate/reduced graphene oxide nanocomposites for methylene blue decomposition
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Malathi, A., Priyadharsan, Arumugam, Handayani, Murni, Hasan, Imran, Divya, G., Sivaranjani, K., and Sivakumar, S.
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- 2024
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22. Detection and Classification of Glioblastoma Brain Tumor
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Maurya, Utkarsh, Kalyan, Appisetty Krishna, Bohidar, Swapnil, and Sivakumar, S.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Glioblastoma brain tumors are highly malignant and often require early detection and accurate segmentation for effective treatment. We are proposing two deep learning models in this paper, namely UNet and Deeplabv3, for the detection and segmentation of glioblastoma brain tumors using preprocessed brain MRI images. The performance evaluation is done for these models in terms of accuracy and computational efficiency. Our experimental results demonstrate that both UNet and Deeplabv3 models achieve accurate detection and segmentation of glioblastoma brain tumors. However, Deeplabv3 outperforms UNet in terms of accuracy, albeit at the cost of requiring more computational resources. Our proposed models offer a promising approach for the early detection and segmentation of glioblastoma brain tumors, which can aid in effective treatment strategies. Further research can focus on optimizing the computational efficiency of the Deeplabv3 model while maintaining its high accuracy for real-world clinical applications. Overall, our approach works and contributes to the field of medical image analysis and deep learning-based approaches for brain tumor detection and segmentation. Our suggested models can have a major influence on the prognosis and treatment of people with glioblastoma, a fatal form of brain cancer. It is necessary to conduct more research to examine the practical use of these models in real-life healthcare settings., Comment: 12 pages, 8 figures
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- 2023
23. Resveratrol-Ampicillin Dual-Drug Loaded Polyvinylpyrrolidone/Polyvinyl Alcohol Biomimic Electrospun Nanofiber Enriched with Collagen for Efficient Burn Wound Repair
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Kanaujiya S, Arya DK, Pandey P, Singh S, Pandey G, Anjum S, Anjum MM, Ali D, Alarifi S, MR V, Sivakumar S, Srivastava S, and Rajinikanth PS
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electrospinning ,nanofiber ,resveratrol ,ampicillin ,burn wound healing ,collagen ,Medicine (General) ,R5-920 - Abstract
Shubham Kanaujiya,1,* Dilip Kumar Arya,1,* Prashant Pandey,1 Sneha Singh,2 Giriraj Pandey,1 Shabnam Anjum,3 Md Meraj Anjum,1 Daoud Ali,4 Saud Alarifi,4 Vijayakumar MR,1 Sri Sivakumar,2 Saurabh Srivastava,5 PS Rajinikanth1 1Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Lucknow, India; 2Department of Chemical Engineering, IIT Kanpur, Kanpur, India; 3Department of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, 110122, People’s Republic of China; 4Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia; 5Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India*These authors contributed equally to this workCorrespondence: PS Rajinikanth, Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Lucknow, India, Email psrajinikanth222@gmail.comBackground: The healing of burn wounds is a complicated physiological process that involves several stages, including haemostasis, inflammation, proliferation, and remodelling to rebuild the skin and subcutaneous tissue integrity. Recent advancements in nanomaterials, especially nanofibers, have opened a new way for efficient healing of wounds due to burning or other injuries.Methods: This study aims to develop and characterize collagen-decorated, bilayered electrospun nanofibrous mats composed of PVP and PVA loaded with Resveratrol (RSV) and Ampicillin (AMP) to accelerate burn wound healing and tissue repair.Results: Nanofibers with smooth surfaces and web-like structures with diameters ranging from 200 to 400 nm were successfully produced by electrospinning. These fibres exhibited excellent in vitro properties, including the ability to absorb wound exudates and undergo biodegradation over a two-week period. Additionally, these nanofibers demonstrated sustained and controlled release of encapsulated Resveratrol (RSV) and Ampicillin (AMP) through in vitro release studies. The zone of inhibition (ZOI) of PVP-PVA-RSV-AMP nanofibers against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) was found 31± 0.09 mm and 12± 0.03, respectively, which was significantly higher as compared to positive control. Similarly, the biofilm study confirmed the significant reduction in the formation of biofilms in nanofiber-treated group against both S. aureus and E. coli. X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) analysis proved the encapsulation of RSV and AMP successfully into nanofibers and their compatibility. Haemolysis assay (%) showed no significant haemolysis (less than 5%) in nanofiber-treated groups, confirmed their cytocompatibility with red blood cells (RBCs). Cell viability assay and cell adhesion on HaCaT cells showed increased cell proliferation, indicating its biocompatibility as well as non-toxic properties. Results of the in-vivo experiments on a burn wound model demonstrated potential burn wound healing in rats confirmed by H&E-stained images and also improved the collagen synthesis in nanofibers-treated groups evidenced by Masson-trichrome staining. The ELISA assay clearly indicated the efficient downregulation of TNF-alpha and IL-6 inflammatory biomarkers after treatment with nanofibers on day 10.Conclusion: The RSV and AMP-loaded nanofiber mats, developed in this study, expedite burn wound healing through their multifaceted approach. Keywords: electrospinning, nanofiber, resveratrol, ampicillin, burn wound healing, collagen
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- 2024
24. Genetic variability and heritability studies for different quantitative traits in sweet sorghum [Sorghum bicolor (L.) Moench] genotypes
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Tomar, Sandeep Singh, Sivakumar, S., and Ganesamurthy, K.
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- 2012
25. Green Construction Project Management: A Bibliometric Analysis
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Gunanandhini, T., Sivakumar, S., Sreenivasan, Aswathy, Suresh, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Xie, Juanying, editor, and Rathore, Vijay Singh, editor
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- 2024
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26. Metro Route Selection Using Quantum GIS
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Chandrakanthamma, L., Sivakumar, S., Sushma, V. A., Karunamoorthy, S., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Reddy, Krishna R., editor, Ravichandran, P. T., editor, Ayothiraman, R., editor, and Joseph, Anil, editor
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- 2024
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27. NSTLBO-Based Approach for Optimal Scheduling of Hydrothermal Generating Units in Regulated Environment
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Pasupulati, Baburao, Sibbala, Bhargava Reddy, Sivakumar, S., Amosedinakaran, S., Palanisamy, Rajakumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shaw, Rabindra Nath, editor, Siano, Pierluigi, editor, Makhilef, Saad, editor, Ghosh, Ankush, editor, and Shimi, S. L., editor
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- 2024
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28. Fusion of LBP and Median LBP for Dominant Region Based Multimodal Recognition Using Imperfect Face and Gait Cues
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Annbuselvi, K., Santhi, N., Sivakumar, S., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Malhotra, Ruchika, editor, Sumalatha, L., editor, Yassin, S. M. Warusia, editor, Patgiri, Ripon, editor, and Muppalaneni, Naresh Babu, editor
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- 2024
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29. Performance Evaluation of Neural Networks-Based Virtual Machine Placement Algorithm for Server Consolidation in Cloud Data Centres
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Pandiselvi, C., Sivakumar, S., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Malhotra, Ruchika, editor, Sumalatha, L., editor, Yassin, S. M. Warusia, editor, Patgiri, Ripon, editor, and Muppalaneni, Naresh Babu, editor
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- 2024
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30. Limitations to Realize Quantum Zeno Effect in Beam Splitter Array -- a Monte Carlo Wavefunction Analysis
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Meher, Nilakantha, Raman, Akhil, and Sivakumar, S.
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Quantum Physics - Abstract
Effects of non-ideal optical components in realizing quantum Zeno effect in an all-optical setup are analyzed. Beam splitters are the important components in this experimental configuration. Nonuniform transmission coefficient, photon absorption and thermal noise are considered. Numerical simulation of the experiment is performed using the Monte Carlo wavefunction method. It is argued that there is an optimal number of beam splitters to be used for maximizing the expected output in the experiment., Comment: To be published in the Journal of the Physical Society of Japan
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- 2022
31. Shimmy vibration analysis of unmanned aircraft coupled with landing gears
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Sivakumar, S., Ganapathy Subramanian, L. R., and Giridharan, V.
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- 2024
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32. Optical properties, total control of Gram-positive and Gram-negative bacteria, anti-fungal activity using Ag nanoparticles synthesized by eco-friendly approach
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Sivakumar, S. and Hariharakrishnan, V.
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- 2023
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33. Effect of refrigerated storage period on textural qualities of carrot incorporated chicken nuggets
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Devatkal, S.K., Sivakumar, S., Sahoo, J., and Balasubramanian, S.
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- 2008
34. Green Construction Project Management: A Bibliometric Analysis
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Gunanandhini, T., primary, Sivakumar, S., additional, Sreenivasan, Aswathy, additional, and Suresh, M., additional
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- 2024
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35. Spectral characterization, analgesic, and anti-inflammatory effects of ethanolic extract of Calotropis procera leaf and dry latex from Jazan, Kingdom of Saudi Arabia
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Md S. ALAM, Bassam R. RAJHI, Mohammad F. ALAM, Malik M. HAMZI, Mohammed ALBRATTY, Hassan A. ALHAZMI, Asim NAJMI, Khalid ZOGHEBI, Zia ur REHMAN, and Sivakumar S. MONI
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analgesic activity ,acute toxicity ,anti-inflammatory activity ,bioactive principles ,Calotropis procera ,Forestry ,SD1-669.5 ,Agriculture (General) ,S1-972 - Abstract
Traditional healers have used the shrub Calotropis procera (CP) for many years for various therapies. The present study investigated the bioactive constituents of ethanolic extract of CP leaf and dried latex using gas chromatography-mass spectrometry and Fourier transforms infrared spectroscopy. The identification and characterization of the compounds were confirmed by examining the constituents' mass spectrum fragmentations and FT-IR spectra and comparing the results with those in the literature. The tail-flick method was used to investigate the analgesic properties of the extract and its anti-inflammatory activities using a rat model of formalin-induced oedema. Acute oral toxicity in rats was studied per OECD recommendations. Twenty male rats were divided into four groups and received an ethanolic extract of the leaves and dried milky sap of CP (200 mg/Kg) in groups 1, 2, and 3. Group 4 rats were administered aspirin 50 mg/kg as a positive control. The CP dried latex extract has the highest content of lupeol and its acetate derivative compared to its leaf extract. The CP dried latex extract inhibited inflammation more significantly than the ethanolic leaf extract and the drug indomethacin at a higher dosage (200 mg/kg). The ethanolic extracts showed analgesia comparable to aspirin. It suggests that fatty acids and their esters, particularly ethyl linoleate (8.96%), ethyl palmitate (7.99%), ethyl linoleate (6.98%), and palmitic acid (5.18%), may be valuable biomarkers for characterizing leaf and latex samples and describing the medicinal potential of CP.
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- 2024
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36. Spectral analysis and bioactive profiling of hot methanolic extracts from Phoenix dactylifera seeds: Antibacterial efficacy and in vitro cytotoxicity insights
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Sivakumar S. MONI, Syam MOHAN, Mohammad F. ALAM, Mohamed E. ELMOBARK, Aamena JABEEN, Fahad Y. SABEI, Zia ur REHMAN, Md Shamsher ALAM, Abdul M.H.M. ALOWAYNI, Ahmed M.O. ASIRI, Dalin A. HASSAN, Mawada ABUBAKER MOHAMED, Hana F. ABDALLAH, and Shanmuganathan SEETHARAMAN
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anti-bacterial effect ,hot methanolic extract ,human pathogenic bacteria ,in vitro cytotoxicity ,MCF-7 breast cancer cells ,Phoenix dactylifera ,Forestry ,SD1-669.5 ,Agriculture (General) ,S1-972 - Abstract
Phoenix dactylifera, commonly called date palm, has great importance as a fruiting plant. The hot methanolic extract of date seeds (HMEDSE), was further fractionated into three fractions (F1, F2, and F3) through column chromatography. The three fractions were composed of various bioactive constituents which was analysed through GC-MS and FT-IR analysis. The results revealed remarkable antibacterial properties of crude HMEDSE against various pathogenic microorganisms affecting humans. The spectrum of activity of HMEDSE against various human pathogenic bacteria showed the following sequence based on its efficacy, Escherichia coli (17.6 ± 2.5 mm), Klebsiella pneumoniae (16.3 ± 2.5 mm), Staphylococcus aureus (16.3 ± 1.5 mm), Streptococcus pyogenes (15 ± 2.6 mm), Pseudomonas aeruginosa (15 ± 2 mm), and lastly, Bacillus subtilis (14.3 ± 2 mm). Furthermore, HMEDSE exhibited cytotoxicity, with an IC50 of 73.5 ± 0.5 µg/mL against MCF-7 ATCC breast cancer cells, leading to gradual apoptosis.
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- 2024
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37. A review on quantum information processing in cavities
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Meher, Nilakantha and Sivakumar, S.
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Quantum Physics - Abstract
The processing of information and computation is undergoing a paradigmatic shift since the realization of the enormous potential of quantum features to perform these tasks. Coupled cavity array is one of the well-studied systems to carry out these tasks. It is a versatile platform for quantum networks for distributed information processing and communication. Cavities have the salient feature of retaining photons for longer durations, thereby enabling them to travel coherently through the array without losing them in dissipation. Many quantum information protocols have been implemented in arrays of coupled cavities. These advancements promise the suitability of cavity arrays for large-scale quantum communications and computations. This article reviews a few theoretical proposals and experimental realizations of quantum information tasks in cavities., Comment: Typo and grammatical mistakes corrected
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- 2022
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38. Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities
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Mrudula, Sunkara Teena, Meenakshi, Ritonga, Mahyudin, Sivakumar, S., Jawarneh, Malik, F, Sammy, Keerthika, T., Rane, Kantilal Pitambar, and Roy, Bhaskar
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- 2024
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39. Aggregation induced emission “Turn on” ultra-low detection of anti-inflammatory drug flufenamic acid in human urine samples by carbon dots derived from bamboo stem waste
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Adaikalapandi, Subitha, Thangadurai, T. Daniel, Sivakumar, S., Nataraj, D., Schechter, Alex, Kalarikkal, Nandakumar, and Thomas, Sabu
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- 2025
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40. Green synthesis of ultrafine gold nanoparticles from sweet flag (Acorus calamus) for effective anti-leukemic, anti-urolithiatic and in silico docking studies
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Jannathul Firdhouse, M., Lalitha, P., Arulpriya, P., Veerakumar, Pitchaimani, Arivalagan, G., Shahul Hameed, K., and Sivakumar, S.
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- 2024
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41. Enhanced efficiency in smart grid energy systems through advanced AI-based thermal modeling
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Santhosh Krishna, B.V., Pauline, S., Sivakumar, S., Anna Palagan, C., Talasila, Vamsidhar, and Masthan Siva Krishna, M.
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- 2024
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42. Photocatalytic degradation of phenolic pollutants over palladium-tungsten trioxide nanocomposite
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Veerakumar, Pitchaimani, Sangili, Arumugam, Chen, Shen-Ming, Kumar, Raju Suresh, Arivalagan, G., Firdhouse, M. Jannathul, Hameed, K. Shahul, and Sivakumar, S.
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- 2024
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43. Design and characterization of Lactotransferrin peptide-loaded dextran-docosahexaenoic acid nanoparticles: an immune modulator for hepatic damage
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Madkhali, Osama A., Moni, Sivakumar S., Sultan, Muhammad H., Bakkari, Mohammed Ali, Almoshari, Yosif, Shaheen, Emad Sayed, and Alshammari, Abdulrahman
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- 2023
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44. Deep learning based federated learning scheme for decentralized blockchain
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Ramkumar, Gowtham, primary, Sivakumar, S., additional, Soni, Mukesh, additional, Muhammed, Yasser, additional, Salman, Hayder Mahmood, additional, and Soomar, Arsalan Muhammad, additional
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- 2023
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45. Effect and design of Mn2+ doped ZnO nanostructures for photodegradation and energy storage devices
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Sivakumar, S. and Robinson, Yengkokpam
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- 2023
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46. Decoration of 2 H-MoS2 on the surfaces of activated carbon derived from bamboo stem biomass waste: A regenerative novel architecture for effective degradation of methylene blue under natural light
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Adaikalapandi, Subitha, Thangadurai, T. Daniel, Sivakumar, S., and Manjubaashini, N.
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- 2024
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47. Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial
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Faust, Saul N, Haynes, Richard, Jones, Christine E, Staplin, Natalie, Whittaker, Elizabeth, Jaki, Thomas, Juszczak, Ed, Spata, Enti, Wan, Mandy, Bamford, Alasdair, Dimitri, Paul, Finn, Adam, Furness, John, Ramanan, Athimalaipet V, Gale, Christopher, Cathie, Katrina, Drysdale, Simon, Bernatoniene, Jolanta, Murray, Clare, Roehr, Charles C, Fleming, Paul, Riordan, Andrew, Bandi, Srini, Jyothish, Deepthi, Evans, Jennifer, Emonts, Marieke, Kelly, Dominic, Pathan, Nazima, Davies, Patrick, Hague, Rosie, Pollock, Louisa, Semple, Malcolm G, Peto, Leon, Baillie, J Kenneth, Buch, Maya, Jeffery, Katie, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mukherjee, Aparna, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Mafham, Marion, Emberson, Jonathan, Landray, Martin J, Horby, Peter W, Chappell, Lucy, Day, Jeremy, Dung, DV, Quang, NN, Binh, Prof, Burhan, E, Alisjahbana, B, Koirala, J, Basnet, S, Kestelyn, E, Basnyat, B, Gyanwali, P, Hamers, RL, Sandercock, P, Darbyshire, J, DeMets, D, Fowler, R, 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Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A
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- 2024
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48. Evaluation of instrumental texture, colour and sensory qualities of chicken nuggets prepared with ground carrot
- Author
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Devatkal, S.K., Sivakumar, S., Biswas, A.K., Sahoo, J., Chatli, M.K., and Balasumaramanian, S.
- Published
- 2008
49. Developing Agri-tourism Based on Customer’s Preferences in Tamil Nadu
- Author
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Sarath, S., Sivakumar, S. D., Chandrasekar, V., Mishra, Prashant, editor, Sharma, Ashu, editor, Khanra, Sayantan, editor, Kundu, Sumit K., editor, and Mishra, Sushanta Kumar, editor
- Published
- 2023
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50. Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease
- Author
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Sivakumar, S., Anita, S., Jothi, S., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kadry, Seifedine, editor, and Prasath, Rajendra, editor
- Published
- 2023
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