454
20
16481
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Dublin Core
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Articles
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Title
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In silico study of some selective phytochemicals against a hypothetical SARS-CoV-2 spike RBD using molecular docking tools
Subject
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ACE2; Coronavirus; COVID-19; In silico study; Mutated spike; Spike-RBD
Description
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Background: This world is currently witnessing a pandemic outbreak of COVID-19? caused by a positive-strand RNA virus SARS-CoV-2. Millions have succumbed globally to the disease, and the numbers are increasing day by day. The viral genome enters into the human host through interaction between the spike protein (S) and host angiotensin-converting enzyme-2 (ACE2) proteins. S is the common target for most recently rolled-out vaccines across regions. A recent surge in single/multiple mutations in S region is of great concern as it may escape vaccine induced immunity. So far, the treatment regime with repurposed drugs has not been too successful. Hypothesis: Natural compounds are capable of targeting mutated spike protein by binding to its active site and destabilizing the spike-host ACE2 interaction. Materials and methods: A hypothetical mutated spike protein was constructed by incorporating twelve different mutations from twelve geographical locations simultaneously into the receptor-binding domain (RBD) and docked with ACE2 and seven phytochemicals namely allicin, capsaicin, cinnamaldehyde, curcumin, gingerol, piperine and zingeberene. Molecular Dynamic (MD) simulation and Principal Component Analysis (PCA) were finally used for validation of the docking results. Result: The docking results showed that curcumin and piperine were most potent to bind ACE2, mutated spike, and mutated spike-ACE2 complex, thereby restricting viral entry. ADME analysis also proved their drug candidature. The docking complexes were found to be stable by MD simulation. Conclusion: This result provides a significant insight about the phytochemicals' role, namely curcumin and piperine, as the potential therapeutic entities against mutated spike protein of SARS-CoV-2. 2021
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Nag A.; Paul S.; Banerjee R.; Kundu R.
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Computers in Biology and Medicine, Vol-137
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Elsevier Ltd
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2021-01-01
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<a href="https://doi.org/10.1016/j.compbiomed.2021.104818" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compbiomed.2021.104818</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113962801&doi=10.1016%2Fj.compbiomed.2021.104818&partnerID=40&md5=213321e78f5719ca89485aa2495e68a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113962801&doi=10.1016%2fj.compbiomed.2021.104818&partnerID=40&md5=213321e78f5719ca89485aa2495e68a5</a>
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All Open Access; Green Open Access
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ISSN: 104825; PubMed ID: 34481181; CODEN: CBMDA
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Online
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English
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Article
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Nag A., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Paul S., School of Biotechnology, Presidency University, Canal Bank Rd, DG Block, Action Area 1D, New Town, 700156, West Bengal, India; Banerjee R., School of Biological and Environmental Sciences, Shoolini University, Solan, 173229, Himachal Pradesh, India; Kundu R., Department of Botany, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Beta carotene inhibiting HIV-1 reverse transcriptase, an in silico approach
Subject
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Beta-carotene; Docking; In silico; Phytochemicals; Reverse transcriptase
Description
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Due to the outspread of various emerging diseases, research on the discovery of new drugs is being carried out extensively. Several phytochemicals with medicinal importance are now being used for this purpose due to its effectiveness and safety in comparison to the conventional synthetic ones. Computational docking is further being used for the fast and cost-effective screening. Reverse transcriptase is a key enzyme involved in the conversion of viral RNA sequence into complementary DNA (cDNA) sequence leading to various retroviral diseases like HIV/AIDS. Patchdock docking server was used in this study to perform in silico enzyme-inhibitor binding experiment between twenty phytocompounds and HIV-1 reverse transcriptase enzyme. Beta-carotene was found to have strongest binding potential in comparison to other phytochemicals. The results suggested that this compound can be used as therapeutics in the future as naturally occurring HIV-1 reverse transcriptase inhibitor. 2020 World Research Association. All rights reserved.
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Nag A.; Reema D.
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Research Journal of Biotechnology, Vol-15, No. 1, pp. 69-73.
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World Research Association
Date
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2020-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078586671&partnerID=40&md5=cbdeba6200de969a20dc3c0260c409c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078586671&partnerID=40&md5=cbdeba6200de969a20dc3c0260c409c6</a>
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Restricted Access
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ISSN: 9736263
Format
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Online
Language
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English
Type
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Article
Coverage
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Nag A., CHRIST (Deemed to be University), Bangalore, 560029, India; Reema D., CHRIST (Deemed to be University), Bangalore, 560029, India
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Title
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Articles
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In Silico Analysis of the Apoptotic and HPV Inhibitory Roles of Some Selected Phytochemicals Detected from the Rhizomes of Greater Cardamom
Subject
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Apoptosis; Docking; HPV; In silico analysis; Large cardamom; Phytochemicals
Description
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Occurrence of cervical cancer, caused due to persistent human papilloma virus (HPV) infection, is common in women of developing countries. As the conventional treatments are expensive and associated with severe side effects, there is a need to find safer alternatives, which is affordable and less toxic to the healthy human cells. Present study aimed to evaluate the anti-HPV and apoptotic potential of four compounds from the greater cardamom (Amomum subulatum Roxb. var. Golsey), namely rhein, phytosphingosine, n-hexadecenoic acid and coronarin E. Their anti-HPV and apoptotic potential were studied against viral E6, E7 and few anti-apoptotic proteins of host cell (BCL2, XIAP, LIVIN) by in silico docking technique. Phytochemicals from the plant extract were analysed and identified by LC/MS and GC/MS. Involvement of the target proteins in various biological pathways was determined through KEGG. Structural optimization of the three-dimensional structures of the ligands (four phytochemicals and control drug) was done by Avogadro1.1. Receptor protein models were built using ProMod3 and other advanced tools. Pharmacophore modelling of the selected phytochemicals was performed in ZINCPharmer. Swiss ADME studies were undertaken to determine drug likeness. The ligands and proteins were digitally docked in DockThor docking program. Protein flexibility-molecular dynamic simulation helped to study proteinligand stability in real time. Finally, the correlation of evaluated molecules was studied by the use of principal component analysis (PCA) based on the docking scores. All the ligands were found to possess apoptotic and anti-cancer activities and did not violate Lipinsky criteria. n-Hexadecanoic acid and its analogues showed maximum efficacy against the target proteins. All the proteinligand interactions were found to be stable. The uncommon phytochemicals identified from rhizomes of greater cardamom have anti-cancer, apoptotic and HPV inhibitory potentials as analysed by docking and other in silico studies, which can be utilized in drug development after proper experimental validation. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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Nag A.; Verma P.; Paul S.; Kundu R.
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Applied Biochemistry and Biotechnology, Vol-194, No. 10, pp. 4867-4891.
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Springer
Date
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2022-01-01
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<a href="https://doi.org/10.1007/s12010-022-04006-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12010-022-04006-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131586223&doi=10.1007%2Fs12010-022-04006-3&partnerID=40&md5=2694883fcf778d947cd6f4ff11960e44" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131586223&doi=10.1007%2fs12010-022-04006-3&partnerID=40&md5=2694883fcf778d947cd6f4ff11960e44</a>
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All Open Access; Bronze Open Access; Green Open Access
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ISSN: 2732289; PubMed ID: 35670907
Format
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Online
Language
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English
Type
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Article
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Nag A., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, India; Verma P., Laboratory of Advanced Cell Biology, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, West Bengal, Kolkata, 700019, India; Paul S., Institute of Health Sciences, Presidency University, 2Nd Campus, Kolkata, Newtown, India; Kundu R., Laboratory of Advanced Cell Biology, Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, West Bengal, Kolkata, 700019, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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An Integrated and Optimized Fog Computing enabled Framework to minimize Time Complexity in Smart Grids
Subject
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Cloud Computing; Edge Computing; Fog Computing; Smart Grid
Description
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A distributed computing paradigm known as 'cloud computing'works as a connection between IoT devices and cloud data centres. The environment system model in this work is on basis of clouds and fog and includes smart grids, which we explore. Prior to understanding the use of fog computing in smart grids we discuss about various features of cloud computing and talk about how to manage the connection between fog and cloud computing. Along with the usual performance of low latency, low cost, and high intelligence, the distinctive characteristics and service scenarios are also explored. Based on the outcome of the simulation, it appears that our suggested PSO-SA algorithm outperforms other optimization algorithms. It recorded a least mean response time of 3.86 seconds only. While the model build up delay was 4.6 seconds, the model execution delay was also found to be only 4.9 seconds with PSO-SA method. The improved efficiency of the technique can be credited to the best aspects of particle swarm optimisation (PSO) and a modified inertia weight obtained by simulated annealing. 2023 IEEE.
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Nag R.; Samantraj A.S.; Mishra S.; Sharma V.
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Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 455-459.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/IC3I59117.2023.10397706" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I59117.2023.10397706</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185228345&doi=10.1109%2FIC3I59117.2023.10397706&partnerID=40&md5=d78a795570b166bac821e9336d862912" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185228345&doi=10.1109%2fIC3I59117.2023.10397706&partnerID=40&md5=d78a795570b166bac821e9336d862912</a>
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Restricted Access
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ISBN: 979-835030448-0
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Online
Language
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English
Type
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Conference paper
Coverage
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Nag R., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Samantraj A.S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Mishra S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Nag, Arindam
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Embedded Finance in Action: A Pathway to Sustainable Growth
Date
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01-01-2025
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Reshaping Financial Systems and Fostering Sustainability Through Embedded Finance;pp.197-226
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<a href="https://doi.org/10.4018/979-8-3373-2464-7.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2464-7.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024840967?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024840967?origin=resultslist</a>
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Nag A., Christ University, India
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This chapter examines how embedded finance reshapes sustainable investment through AI, machine learning, and DeFi integration with ESG practices. These technologies can address behavioral biases such as loss aversion, yet major challenges remain. ESG data is fragmented, with rating providers often showing correlations below 0.6, weakening automated screening. Greenwashing risks rise as automation favors convenience over impact checks, while regulation lags behind and leaves fiduciary duties unclear. The discussion links these issues to finance theory, applying CAPM to test whether ESG factors improve risk- adjusted returns and using behavioral insights to assess how embedded systems may correct cognitive limits. Case studies show that while embedded finance reduces transaction friction, turning convenience into measurable sustainability outcomes is still uncertain. The chapter contributes by connecting finance theory with emerging technologies to evaluate real versus promised effects on sustainable investment. 2026, IGI Global Scientific Publishing.
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IGI Global
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ISBN: 979-833732466-1; 979-833732464-7;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications
Book Chapter
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Naga Baru, Sahithi Venkata; Mathew, Gicy; Maanasa, Dhevi B.; Lakshmaiah, Vasantha Veerappa; Nagella, Praveen
Title
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Carbon Nanotubes as Carriers in Plant Science
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01-01-2025
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Nanocarriers in Plant Science and Agriculture;pp.63-87
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<a href="https://doi.org/10.4018/979-8-3693-9869-2.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9869-2.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013722877?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013722877?origin=resultslist</a>
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Naga Baru S.V., Christ University, India; Mathew G., Christ University, India; Maanasa D.B., Christ University, India; Lakshmaiah V.V., Christ University, India; Nagella P., Christ University, India
Description
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Carbon nanotubes have emerged as promising nanomaterials in plant sciences, offering innovative solutions for enhancing sustainable agricultural production. This chapter provides a comprehensive analysis of the structural variations of CNTs, including single-walled, stacked-cup, and multi-walled nanotubes, and their applications in gene delivery, biosensing, and development of nano-pesticides and nano-insecticides. CNTs facilitate improved nutrient uptake, promote plant growth, and enhance stress tolerance through their unique physicochemical properties. Additionally, their interactions with plant-associated microbes and soil microbial communities, plant health and soil fertility are discussed. However, challenges related to CNT toxicity, environmental persistence, and their effects on plant physiology necessitate further research. The chapter also explores the integration of machine learning, artificial intelligence, and multi omics approaches in optimizing CNT applications for plant breeding, precision agriculture, and crop improvement. 2025 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836939871-5; 979-836939869-2;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Faculty Publications
Article
Faculty Publications -Articles
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Naga Sahithi, Baru Venkata; Lakshmaiah, Vasantha Veerappa
Title
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Biogenically forged ZnO nanoparticles using Salvia hispanica L. microgreens for their potential antimicrobial activity towards food-borne pathogens
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01-01-2025
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RSC Advances;Volume;15;Issue;35;pp.28721-28729
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<a href="https://doi.org/10.1039/d5ra04728e" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d5ra04728e</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012990650?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012990650?origin=resultslist</a>
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Naga Sahithi B.V., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India
Description
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Microgreens have been extensively researched because of their dense nutritional content and high concentration of health-promoting and therapeutic bioactive compounds. Simultaneously, green synthesis of nanoparticles has emerged as a biogenic and sustainable approach for nanomaterial preparation using plant extracts as reducing and stabilizing agents. In the current study, zinc oxide nanoparticles (ZnO NPs) were synthesized using phytochemically enriched extracts of chia (Salvia hispanica) microgreens. The synthesis of ZnO NPs was systematically optimized, and the resulting nanomaterials were characterized using UV-Visible spectroscopy, XRD, FTIR, SEM, DLS, and TEM to confirm their structural, morphological, and physicochemical properties. The characterization results confirmed the successful formation of ZnO NPs with a crystalline size of 79.4 nm and a zeta potential of ?42.2 0.29 mV, indicating good stability and uniformity. To further explore the bioactivity, in silico molecular docking was performed to investigate the interactions between chia-derived phytochemicals and key receptors of food-borne pathogens Aeromonas caviae and Staphylococcus pasteuri isolated from chicken meat. Based on these insights, the antimicrobial activity of MG-ZnO NPs (Microgreen-derived zinc oxide nanoparticles) was evaluated. The nanoparticles exhibited notable antibacterial activity, with greater effectiveness against S. pasteuri. MIC values for S. pasteuri and A. caviae were found to be 62.5 ?g mL?1 and 250 ?g mL?1, respectively, while the corresponding MBC values were 125 ?g mL?1 and 500 ?g mL?1. The MBC/MIC ratios confirmed the bactericidal nature of MG-ZnO NPs against both strains. These findings highlight the potential of chia microgreen-derived ZnO nanoparticles as promising antimicrobial agents for combating foodborne pathogens. 2025 The Royal Society of Chemistry.
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Royal Society of Chemistry
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ISSN: 20462069; CODEN: RSCAC
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English
Type
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Article
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All Open Access; Gold Open Access
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online
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Faculty Publications
Conference Paper
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Nagadeepa, C.; Singh, Arti; Singh, Shalini; Yadav, Shubhanker
Title
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Robot-Assisted Children-Centric Strategies in the Hotel Industry: Enhancing Parental Attraction and Sales Growth
Date
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01-01-2025
Source
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Lecture Notes in Electrical Engineering;Volume;1400 LNEE;pp.231-239
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<a href="https://doi.org/10.1007/978-981-96-4391-2_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4391-2_25</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014107720?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014107720?origin=resultslist</a>
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Nagadeepa C., Kristu Jayanti College (Autonomous), Bengaluru, India; Singh A., Kristu Jayanti College (Autonomous), Bengaluru, India; Singh S., CHRIST (Deemed to be University), NCR, Delhi, India; Yadav S., CHRIST (Deemed to be University), NCR, Delhi, India
Description
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The hotel industry is undergoing a profound transformation, shaped by shifting consumer preferences and technological innovations. An intriguing trend within this transformation is the growing adoption of robotic technology to elevate the guest experience. Of particular interest is the emergence of child-centric robots designed to engage and educate young guests. These robots have the potential to significantly influence parental attraction to hotels, a factor that bears substantial implications for hotel sales and profitability. This research delves into the phenomenon of Robot-Assisted Child-Centric Strategies in the Hotel Industry and its impact on increasing parental attraction and, in turn, driving sales growth. It explores how hotels strategically integrate child-centric robots to create distinctive and engaging experiences for families. These robots offer interactive concierge services, in-room companions, educational support, and entertainment, enriching childrens stays and allowing parents to relax. The study investigates the technological innovations and capabilities of these robots, the strategies hotels employ to seamlessly incorporate them, and their impact on parental attraction. Employing a mixed-methods approach, including surveys, interviews, and data analysis, it uncovers the drivers behind the adoption of child-centric strategies and their correlation with sales growth. Ultimately, this research reveals how child-centric robots can revolutionize the hotel industry by attracting families and enhancing guest experiences. It provides valuable insights for hoteliers seeking to leverage this trend, helping them find the delicate balance between guest satisfaction and profitability in a competitive market. Child-centric robots offer a promising avenue for hotels, providing unforgettable stays for families while boosting sales and profitability. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Child-centric robots; Child-centric strategies; Family-centric amenities; Hospitality innovation; Hotel sales growth
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Springer Science and Business Media Deutschland GmbH
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A related resource
ISSN: 18761100; ISBN: 978-981964390-5;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Nagar, Mahek Gunjan; Jha, Deepak
Title
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Edible Innovation: How Youth-Driven Trends Are Shaping the Future of Food Marketing
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01-01-2025
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Innovative Trends Shaping Food Marketing and Consumption;pp.291-303
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<a href="https://doi.org/10.4018/979-8-3693-8542-5.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8542-5.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009575277?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009575277?origin=resultslist</a>
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Nagar M.G., Christ University, India; Jha D., Christ University, India
Description
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The food market is undergoing changes, and consumers 2020 to 2024 are shaping a market segment with unique eating behaviours. Nowhere is the impact of transformative trends that are reshaping the present and near future of markets and populations so pronounced than in food marketing and consumption. Dates throughout 2020-2024 are being pondered in this chapter to explain what makes this current generation tick. It also contains an overview of new innovations and modern changes in products and process, promotional, and marketing activities. This chapter looks at how the strong will, character, and ambition of the new generation are paving new paths in the food industry, leaving outdated practices behind and hitting the reset button on standards of health and sustainability. 2025 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836938544-9; 979-836938542-5;
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Creator
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Nagar, Mahek Gunjan; Jha, Deepak
Title
A name given to the resource
Edible Innovation: How Youth-Driven Trends Are Shaping the Future of Food Marketing
Date
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01-01-2025
Source
A related resource from which the described resource is derived
Innovative Trends Shaping Food Marketing and Consumption;pp.291-303
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<a href="https://doi.org/10.4018/979-8-3693-8542-5.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8542-5.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009575277?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009575277?origin=resultslist</a>
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Nagar M.G., Christ University, India; Jha D., Christ University, India
Description
An account of the resource
The food market is undergoing changes, and consumers 2020 to 2024 are shaping a market segment with unique eating behaviours. Nowhere is the impact of transformative trends that are reshaping the present and near future of markets and populations so pronounced than in food marketing and consumption. Dates throughout 2020-2024 are being pondered in this chapter to explain what makes this current generation tick. It also contains an overview of new innovations and modern changes in products and process, promotional, and marketing activities. This chapter looks at how the strong will, character, and ambition of the new generation are paving new paths in the food industry, leaving outdated practices behind and hitting the reset button on standards of health and sustainability. 2025 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836938544-9; 979-836938542-5;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Articles
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Faculty Publications -Articles
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Title
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Prediction of Material Removal Rate and Surface Roughness in Hot Air Assisted Hybrid Machining on Soda-Lime-Silica Glass using Regression Analysis and Artificial Neural Network
Subject
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Artificial neural network (ANN); Hot air assisted hybrid machining (HAAHM); Material removal rate; Regression analysis (RA); Surface roughness
Description
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Hybrid machining is a combination of conventional with the non-conventional process or two non-conventional processes. In the present work, an attempt has been made to combine hot air with a conventional cutting tool to form a novel Hot Air Assisted Hybrid Machining (HAAHM) for the machining of soda-lime-silica glass. The mathematical model for the Material Removal Rate (MRR) and Surface Roughness (Ra) using Regression Analysis (RA) and the Artificial Neural Network (ANN) models has been developed for the grooving process. The deviation of 8.24% and 7.70% were found in the prediction of MRR and Ra by regression analysis and the deviation of 1.89% and 1.70% for MRR and Ra using an artificial neural network model. The deviation between the predicted and the experimental results of both the models are found to be within the permissible limit. Higher predictive capabilities were observed in ANN model than the regression model. However, both models demonstrated good agreement with the MRR of soda-lime-silica glass by this hybrid machining process. 2020, Springer Nature B.V.
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Nagaraj Y.; Jagannatha N.; Sathisha N.; Niranjana S.J.
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Silicon, Vol-13, No. 11, pp. 4163-4175.
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Springer Science and Business Media B.V.
Date
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2021-01-01
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<a href="https://doi.org/10.1007/s12633-020-00729-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12633-020-00729-2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091683594&doi=10.1007%2Fs12633-020-00729-2&partnerID=40&md5=3e25985e70844c5871167ce2568f14f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091683594&doi=10.1007%2fs12633-020-00729-2&partnerID=40&md5=3e25985e70844c5871167ce2568f14f2</a>
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ISSN: 1876990X
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Online
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English
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Article
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Nagaraj Y., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Jagannatha N., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Sathisha N., Department of Mechanical Engineering, Yenepoya Institute of Technology, Moodabidri, Mangaluru, Karnataka, India; Niranjana S.J., Department of Mechanical Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India
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Articles
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Faculty Publications -Articles
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Title
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Parametric optimization on hot air assisted hybrid machining of soda-lime glass using Taguchi based grey relational analysis
Subject
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Depth of cut; Hot air assisted hybrid machining; Material removal rate; SEM micrographs; Surface roughness
Description
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The present research underlines the development of a hybrid method for the machining of soda-lime glass known as the hot air assisted hybrid machining. It is a combination of conventional machining assisted with the jet of hot air. The influence of process variables such as feed of the cutting tool, flow of hot air, depth of cut, and the air temperature on the material removal rate (MRR) and surface roughness (Ra) applied to the grooving operation have been investigated. The Taguchi orthogonal array L27 was considered to reduce the number of experiments. The ANOVA was used to recognize the major influencing process parameters for the MRR and Ra. The results of ANOVA indicate that the air temperature is the most significant parameter for the objective of maximum MRR and minimum Ra with contributions ratios of 56.91% and 52.68% respectively for the grooving operation on soda-lime glass. The optimal machining parameters for the maximum MRR and minimum Ra were found to be A1B1C3D3 and A1B1C1D3 respectively. The multi-objective optimization was performed using the Taguchi based grey relational analysis (GRA). The optimal level of parameters based on GRA for maximum MRR and minimum Ra was found to be A1B1C3D3. In addition, the material removal process was explained with the help of SEM micrographs. 2021, Springer Nature Switzerland AG.
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Nagaraj Y.; Jagannatha N.; Sathisha N.; Niranjana S.J.
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Multiscale and Multidisciplinary Modeling, Experiments and Design, Vol-4, No. 3, pp. 169-185.
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Springer Science and Business Media B.V.
Date
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2021-01-01
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<a href="https://doi.org/10.1007/s41939-020-00085-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41939-020-00085-z</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098540423&doi=10.1007%2Fs41939-020-00085-z&partnerID=40&md5=93d27fd0c6cea48f089b5a44c93f97ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098540423&doi=10.1007%2fs41939-020-00085-z&partnerID=40&md5=93d27fd0c6cea48f089b5a44c93f97ff</a>
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Restricted Access
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ISSN: 25208160
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Online
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English
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Article
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Nagaraj Y., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Jagannatha N., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Sathisha N., Department of Mechanical Engineering, Yenepoya Institute of Technology, Moodabidri, Mangalore, Karnataka, India; Niranjana S.J., Department of Mechanical Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Nagaraj, Akash; J., Jayapriya; S., Deepa; M., Vinay
Title
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Comparative Analysis of Classification Models Using Various Feature Sets
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01-01-2025
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Lecture Notes in Electrical Engineering;Volume;1269;pp.141-154
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<a href="https://doi.org/10.1007/978-981-97-9515-4_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-9515-4_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003894987?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003894987?origin=resultslist</a>
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Nagaraj A., CHRIST (Deemed to be University), Bangalore, India; J. J., CHRIST (Deemed to be University), Bangalore, India; S. D., CHRIST (Deemed to be University), Bangalore, India; M. V., CHRIST (Deemed to be University), Bangalore, India
Description
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Feature selection is a fundamental step in Machine Learning (ML) that involves choosing some input data that would enhance the model performance. The model is able to run faster using lesser computational resources while giving reasonable results. Hence, feature selection as important as selection of a good model. In this chapter the aim is to analyze how the performance of different multiclass classification algorithms is affected on different features. The algorithms used are K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Linear Discriminant Analysis (LDA), and Convolutional Neural Network (CNN) on the CIFAR-10 dataset. To obtain the new dataset with modified features, we use dimension reduction methods on the original dataset. The new dataset is at least 500x smaller, and we have noticed that in the best case scenarios reducing dimensions reduces the accuracy score only marginally. The SVM is the most consistent among the experimented models. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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CNN; KNN; LDA; NMDS; PCA; SVM; tSNE
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Springer Science and Business Media Deutschland GmbH
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ISSN: 18761100; ISBN: 978-981979514-7;
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English
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Conference paper
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Nagaraj, S.
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Smart Wound Guard
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01-01-2025
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Smart Textiles and Wearables for Health and Fitness;pp.121-136
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<a href="https://doi.org/10.1002/9781394302895.ch6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394302895.ch6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015681423?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015681423?origin=resultslist</a>
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Nagaraj S., Christ University, Karnataka, Bangalore, India
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Traditional wound healing processes suffer from a lack of real-time monitoring, often relying on subjective assessments, leading to missed opportunities for timely treatment adjustments. This idea proposal is particularly concerning for patients with chronic wounds, as traditional dressings fail to provide essential information on wound conditions. To address this gap, wearable electronics are emerging as a promising solution. This context proposes the development of a flexible plaster embedded with electronics capable of sensing various wound-related factors such as pH, temperature, glucose, uric acid, moisture, oxygen, and protein levels in both the wound and its surrounding environment. By continuously monitoring these factors and providing alerts, this innovative solution aims to facilitate faster wound healing. Moreover, it enables automatic drug delivery, enhancing treatment efficacy and patient outcomes. This approach represents a significant advancement in wound care, offering real-time insights and interventions that can revolutionize how wounds are managed, ultimately improving patient care and reducing healthcare costs.
Subject
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automatic drug delivery; chronic wounds; faster wound healing; flexible plaster; real-time monitoring; Wearable electronics
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wiley
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ISBN: 978-139430289-5; 978-139430294-9;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Articles
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Faculty Publications -Articles
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Title
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Influence of heat treatment and reinforcements on tensile characteristics of aluminium aa 5083/silicon carbide/fly ash composites
Subject
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AA 5083 alloy; Characteristics; Composite; Composites; Denture base; Fly ash; Heat treatment; Sandblasting; Silicon carbide; Tensile
Description
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The effect of reinforcements and thermal exposure on the tensile properties of aluminium AA 5083silicon carbide (SiC)fly ash composites were studied in the present work. The specimens were fabricated with varying wt.% of fly ash and silicon carbide and subjected to T6 thermal cycle conditions to enhance the properties through precipitation hardening. The analyses of the microstructure and the elemental distribution were carried out using scanning electron microscopic (SEM) images and energy dispersive spectroscopy (EDS). The composite specimens thus subjected to thermal treatment exhibit uniform distribution of the reinforcements, and the energy dispersive spectrum exhibit the presence of Al, Si, Mg, O elements, along with the traces of few other elements. The effects of reinforcements and heat treatment on the tensile properties were investigated through a set of scientifically designed experimental trials. From the investigations, it is observed that the tensile and yield strength increases up to 160?C, beyond which there is a slight reduction in the tensile and yield strength with an increase in temperature (i.e., 200?C). Additionally, the % elongation of the composites decreases substantially with the inclusion of the reinforcements and thermal exposure, leading to an increase in stiffness and elastic modulus of the specimens. The improvement in the strength and elastic modulus of the composites is attributed to a number of factors, i.e., the diffusion mechanism, composition of the reinforcements, heat treatment temperatures, and grain refinement. Further, the optimisation studies and ANN modelling validated the experimental outcomes and provided the training models for the test data with the correlation coefficients for interpolating the results for different sets of parameters, thereby facilitating the fabrication of hybrid composite components for various automotive and aerospace applications. 2021 by the authors.
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Nagaraja S.; Kodanda R.; Ansari K.; Kuruniyan M.S.; Afzal A.; Kaladgi A.R.; Aslfattahi N.; Saleel C.A.; Gowda A.C.; Bindiganavile Anand P.
Source
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Materials, Vol-14, No. 18
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MDPI
Date
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2021-01-01
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<a href="https://doi.org/10.3390/ma14185261" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/ma14185261</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114942397&doi=10.3390%2Fma14185261&partnerID=40&md5=876043e7f4ae8ed59efed69026c71691" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114942397&doi=10.3390%2fma14185261&partnerID=40&md5=876043e7f4ae8ed59efed69026c71691</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 19961944
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Online
Language
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English
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Article
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Nagaraja S., Department of Mechanical Engineering, MVJ College of Engineering, Near ITPB, Whitefield, Bangalore, 560067, India; Kodanda R., Department of Mechanical Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Ansari K., Department of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, 441110, India; Kuruniyan M.S., Department of Dental Technology, College of Applied Medical Science, King Khalid University, P.O. Box 394, Abha, 61421, Saudi Arabia; Afzal A., Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, 574153, India, Department of Mechanical Engineering, School of Technology, Glocal University, Delhi-Yamunotri Marg, SH-57, Saharanpur, Mirzapur Pole, 247121, India; Kaladgi A.R., Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, 574153, India; Aslfattahi N., Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia; Saleel C.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61421, Saudi Arabia; Gowda A.C., Department Studies of Mechanical Engineering, Visvesvaraya Technological University, Chikkaballapura, Muddenahalli, 562103, India; Bindiganavile Anand P., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bangalore, 560064, India
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Articles
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Faculty Publications -Articles
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Wear and Friction Behaviour of Aluminium Metal Matrix Composite Reinforced with Graphite Nano Particles for Vehicle Structures
Subject
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Friction; Optimization; PROMETHEE; Surface morphology
Description
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In the current research work, AA7050 a marine aluminium alloy was reinforced with the nano graphite particles processed through stir casting technique. The scanning electron microstructure reveals that the nano particles were uniformly distributed over the matrix material and the hardness of the composites increase with raise in weight percentage of Gr particles owing to the Hall-Petch effect. The wear experiments were conducted by varying reinforcement, load, velocity, distance and temperature. The experimental runs were designed using the L25 orthogonal array in which wear, coefficient of friction and worn surface hardness were recorded as response. The wear resistance of the composites increases with raise in the graphite content attributed to the formation of mechanical mixed layer, the wear rate transfer from mild to severe when there swift in temperature from 100C to 150C. The worn surface hardness of the composites was higher than the as cast composites owing to the presence of Fe on the surface confirmed through the EDAX mapping. The composites were optimized using the modified PROMETHEE optimization technique and results revealed that AA7050 reinforced with 8% Gr particles showed best result and recommended for the marine sector. 2024. Carbon Magics Ltd.
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Nagaraja T.K.; Jangam S.
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International Journal of Vehicle Structures and Systems, Vol-16, No. 2, pp. 262-270.
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MechAero Found. for Techn. Res. and Educ. Excellence
Date
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2024-01-01
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<a href="https://doi.org/10.4273/ijvss.16.2.21" target="_blank" rel="noreferrer noopener">https://doi.org/10.4273/ijvss.16.2.21</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198128829&doi=10.4273%2Fijvss.16.2.21&partnerID=40&md5=6f711acabc48175ef688e1a5eb12d871" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198128829&doi=10.4273%2fijvss.16.2.21&partnerID=40&md5=6f711acabc48175ef688e1a5eb12d871</a>
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Restricted Access
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ISSN: 9753060
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Online
Language
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English
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Article
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Nagaraja T.K., Dept. of Mech. & Automobile Engg, School of Engg. and Tech, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Jangam S., Dept. of Mech. & Automobile Engg, School of Engg. and Tech, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Articles
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Title
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WEAR AND FRICTION BEHAVIOUR OF ALUMINIUM METAL MATRIX COMPOSITE REINFORCED WITH GRAPHITE NANOPARTICLES
Subject
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friction; nano; optimization; PROMETHEE; surface morphology; wear
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In the current research work, AA7050 a marine aluminium alloy was reinforced with the nano-graphite particles, processed through the stir casting technique. The scanning electron microstructure reveals, that the nanoparticles were uniformly distributed over the matrix material and the hardness of the composites increased with a rise in the weight percentage of Gr particles owing to the Hall patch effect. The wear experiments were conducted by varying reinforcement, load, velocity, distance, and temperature, and the experimental runs were designed using the L25 orthogonal array, in which wear, coefficient of friction and worn surface hardness were recorded as a response. The wear resistance of the composites increases with a rise in the graphite content attributed to the formation of a mechanically mixed layer, the wear rate transfers from mild to severe, when there is shift in temperature from 100C to 150C. The worn surface hardness of the composites was higher than those of as-cast composites owing to the presence of Fe on the surface confirmed through the EDAX mapping. The composites were optimized using the modified PROMETHEE optimization technique and the results revealed that AA7050 reinforced with 8% Gr particles showed the best result and was recommended for the marine sector. 2024, Scibulcom Ltd.. All rights reserved.
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Nagaraja T.K.; Jangam S.
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Journal of the Balkan Tribological Association, Vol-30, No. 3, pp. 345-362.
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Scibulcom Ltd.
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2024-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198728411&partnerID=40&md5=c2b8ab2b04686cb62f11d6d7acc7944e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198728411&partnerID=40&md5=c2b8ab2b04686cb62f11d6d7acc7944e</a>
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ISSN: 13104772
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Online
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English
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Article
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Nagaraja T.K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Jangam S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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Fabrication and Characterization of AA7050 Nano Composites by Enhancing Directional Properties for High Impact Load Applications
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AA7050; Characterization; Directional properties; Fabrication; High impact load; Nanocomposites
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The demand for materials with superior strength and impact resistance has driven the exploration of innovative composite materials. In this research, Al 7050 is chosen as the matrix material due to its excellent mechanical properties, whereas SiC and graphene nanoparticles are incorporated to tailor its directional strength characteristics. The fabrication process involves the synthesis of Al7050 nanocomposites through a meticulous blending of nanoparticles with the matrix material. The characterization phase encompasses a comprehensive analysis of various techniques, including scanning electron microscopy, X-ray diffraction, and mechanical testing. The results shows that the directional strength improvements achieved through SiC and graphene nanoparticle reinforcement with Al7050. The tensile strength of the aluminum in the AA7050-7.5g composite rose from 185.3 to 256.1MPa upon the addition of SiC and graphene. The findings of this study contribute to the evolving field of nanocomposite materials, offering insights into the design and development of advanced materials tailored for specific directional strength requirements. The Institution of Engineers (India) 2024.
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Nagaraja T.K.; Jangam S.
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Journal of The Institution of Engineers (India): Series D
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Springer
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2024-01-01
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<a href="https://doi.org/10.1007/s40033-024-00743-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40033-024-00743-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192099585&doi=10.1007%2Fs40033-024-00743-3&partnerID=40&md5=16bac274d88ed9a4fd3549809421c79c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192099585&doi=10.1007%2fs40033-024-00743-3&partnerID=40&md5=16bac274d88ed9a4fd3549809421c79c</a>
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ISSN: 22502122
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Online
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English
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Article
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Nagaraja T.K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Jangam S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India
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Nagaraja, Santhosh; Kodandappa, Ramesha; Hanumanthappa, Naresh
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Physical aging of biopolymers and their nanocomposites
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01-01-2025
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Aging and Degradation of Polymer Nanocomposites;pp.125-142
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<a href="https://doi.org/10.1016/B978-0-443-28864-7.00001-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-28864-7.00001-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023913577?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023913577?origin=resultslist</a>
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Nagaraja S., MVJ College of Engineering, Department of Mechanical Engineering, Karnataka, Bangalore, India; Kodandappa R., CHRIST (Deemed to be University), Department of Mechanical Engineering, School of Engineering and Technology, Karnataka, Bengalore, India; Hanumanthappa N., Siddaganga Institute of Technology, Department of Mechanical Engineering, Karnataka, Tumakuru, India
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With growing environmental concerns, particularly around the widespread use of conventional plastics, there is an urgent need to develop sustainable alternatives like bioplastics and biocomposites. These eco-friendly materials offer the potential to significantly reduce the carbon footprint while enhancing product performance and durability in various applications. This chapter aims to expand scientific understanding of biocomposites, focusing on their behavior under different aging conditions. A comprehensive analysis is provided on aging processes, aging mechanisms, and strategies to improve the longevity and performance of biocomposites. Special emphasis is placed on future research directions and the adoption of innovative aging techniques to optimize the performance of biopolymers. This review explores both the advantages and challenges of using biocomposites as replacements for traditional petroleum-based plastics, with a particular focus on their degradation behavior over time. The insights presented here are essential for driving further research and development in bio-based and biodegradable polymers, highlighting their potential for both academic inquiry and industrial application. By addressing key aspects of biocomposite aging, this chapter aims to guide researchers in overcoming existing challenges and advancing the field toward a more sustainable future. 2026 Elsevier Ltd. All rights reserved.
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Aging; Biocomposites; Biodegradable polymers; Durability; Performance; Sustainability
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Elsevier
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ISBN: 978-044328864-7; 978-044328865-4;
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English
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
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Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
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Nagaraja, T.K.; Jangam, Sasidhar
Title
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Fabrication and Characterization of AA7050 Nano Composites by Enhancing Directional Properties for High Impact Load Applications
Date
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01-01-2025
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Journal of The Institution of Engineers (India): Series D;Volume;106;Issue;2;pp.1235-1243
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<a href="https://doi.org/10.1007/s40033-024-00743-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40033-024-00743-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85192099585?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85192099585?origin=resultslist</a>
Coverage
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Nagaraja T.K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Jangam S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India
Description
An account of the resource
The demand for materials with superior strength and impact resistance has driven the exploration of innovative composite materials. In this research, Al 7050 is chosen as the matrix material due to its excellent mechanical properties, whereas SiC and graphene nanoparticles are incorporated to tailor its directional strength characteristics. The fabrication process involves the synthesis of Al7050 nanocomposites through a meticulous blending of nanoparticles with the matrix material. The characterization phase encompasses a comprehensive analysis of various techniques, including scanning electron microscopy, X-ray diffraction, and mechanical testing. The results shows that the directional strength improvements achieved through SiC and graphene nanoparticle reinforcement with Al7050. The tensile strength of the aluminum in the AA7050-7.5g composite rose from 185.3 to 256.1MPa upon the addition of SiC and graphene. The findings of this study contribute to the evolving field of nanocomposite materials, offering insights into the design and development of advanced materials tailored for specific directional strength requirements. The Institution of Engineers (India) 2024.
Subject
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AA7050; Characterization; Directional properties; Fabrication; High impact load; Nanocomposites
Publisher
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Springer
Relation
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ISSN: 22502122;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online