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20. Detection and Classification of Glioblastoma Brain Tumor

Author

Maurya, Utkarsh, Kalyan, Appisetty Krishna, Bohidar, Swapnil, and Sivakumar, S.

Subjects
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

Published
2023

22. Green Construction Project Management: A Bibliometric Analysis

Author

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

Published
2024
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23. Metro Route Selection Using Quantum GIS

Author

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

Published
2024
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24. NSTLBO-Based Approach for Optimal Scheduling of Hydrothermal Generating Units in Regulated Environment

Author

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

Published
2024
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25. Fusion of LBP and Median LBP for Dominant Region Based Multimodal Recognition Using Imperfect Face and Gait Cues

Author

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

Published
2024
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26. Performance Evaluation of Neural Networks-Based Virtual Machine Placement Algorithm for Server Consolidation in Cloud Data Centres

Author

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

Published
2024
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30. Resveratrol-Ampicillin Dual-Drug Loaded Polyvinylpyrrolidone/Polyvinyl Alcohol Biomimic Electrospun Nanofiber Enriched with Collagen for Efficient Burn Wound Repair

Author

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

Subjects
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

Published
2024

34. Limitations to Realize Quantum Zeno Effect in Beam Splitter Array -- a Monte Carlo Wavefunction Analysis

Author

Meher, Nilakantha, Raman, Akhil, and Sivakumar, S.

Subjects
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

Published
2022

36. A review on quantum information processing in cavities

Author

Meher, Nilakantha and Sivakumar, S.

Subjects
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

Published
2022
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38. Spectral characterization, analgesic, and anti-inflammatory effects of ethanolic extract of Calotropis procera leaf and dry latex from Jazan, Kingdom of Saudi Arabia

Author

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

Subjects
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.

Published
2024
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39. Spectral analysis and bioactive profiling of hot methanolic extracts from Phoenix dactylifera seeds: Antibacterial efficacy and in vitro cytotoxicity insights

Author

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

Subjects
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.

Published
2024
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49. Sustainable Turning of 6063 Aluminum Alloy in Dry Condition Using Gray Relational Analysis

Author

Kannan, A., Sivakumar, S., Balasundaram, P., Sivaram, N. M., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sivaram, N. M., editor, Sankaranarayanasamy, K., editor, and Davim, J. Paulo, editor

Published
2023
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