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                <text>Cu/Pd bimetallic supported on mesoporous TiO2 for suzuki coupling reaction</text>
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                <text>4-Nitrobiphenyl; Biphenyl; Cu/Pd-TiO&lt;sub&gt;2&lt;/sub&gt;; Heterogeneous Catalysis; Suzuki Reaction</text>
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                <text>Generally bimetallic catalysts are more superior to monometallic catalysts and provide a better platform for the development of novel catalysts with enhanced activity, selectivity, and stability. In the current work we have prepared Cu/Pd bimetallic supported on mesoporous TiO2 by hydrothermal method. The prepared system was characterized by various physico-chemical techniques such as XRD, TG-DTG, SEM, EDAX, BJH isotherm, and XPS. Thermal stability and complete electronic structure were identified from TG and XPS measurements respectively. The bimetallic system was found to be very active in Suzuki cross-coupling reaction using different substrates. The products were separated and purified by column chromatography and the resultant products were characterized thoroughly by 1H NMR, and FT-IR analysis.  Copyright 2018 BCREC Group. All rights reserved.</text>
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                <text>Mohan M.K.; Sunajadevi K.R.; Daniel N.K.; Gopi S.; Sugunan S.; Perumparakunnel N.C.</text>
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                <text>Bulletin of Chemical Reaction Engineering and Catalysis, Vol-13, pp. 286-294.</text>
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                <text>Diponegoro University</text>
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                <text>ISSN: 19782993</text>
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                <text>Mohan M.K., Department of Applied Chemistry, Cochin University of Science and Technology, Cochin-22, Kerala, India, Department of Sciences and Humanities, Christ University Faculty of Engineering, Bangalore, Karnataka, 560074, India; Sunajadevi K.R., Department of Chemistry, Christ University, Bangalore, Karnataka, 560029, India; Daniel N.K., Department of Sciences and Humanities, Christ University Faculty of Engineering, Bangalore, Karnataka, 560074, India; Gopi S., Department of Applied Chemistry, Cochin University of Science and Technology, Cochin-22, Kerala, India; Sugunan S., Department of Applied Chemistry, Cochin University of Science and Technology, Cochin-22, Kerala, India; Perumparakunnel N.C., Department of Chemistry, Sree Narayana College, Kollam, Kerala, India</text>
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                <text>Mohan P, Aswathy; Ashraf, Muhammed Niyas; Varghese, Anna</text>
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                <text>K???an???am Performance: K???a Devotion, Ritual Ecology, and Colonial Transformation in South India</text>
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                <text>Religions;Volume;16;Issue;12;Article No.;1503;</text>
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                <text>Mohan P A., Department of International Studies, Political Science and History, CHRIST University, Bengaluru, 560029, India; Ashraf M.N., Department of History, GITAM (Deemed to be University), Bengaluru, 560064, India, Faculty of Arts and Philosophy, Ghent University, Campus Boekentoren, Gent, 9000, Belgium; Varghese A., Department of International Studies, Political Science and History, CHRIST University, Bengaluru, 560029, India</text>
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                <text>This paper critically explores K???an???am, a Sanskrit ritual dance-theater tradition from Kerala, as a product of socio-political and religious transformations in early modern South India. Conceived in the mid-17th century by the Zamorin King M?nav?da, author of the Sanskrit text K???ag?ti, K???an???am was both a devotional offering to Lord K???a and a strategic expression of ritual sovereignty. Rooted in K???a bhakti (devotion), the tradition reflects how religious performance was mobilized to assert political legitimacy, particularly amid rivalry with regional powers such as Travancore. The Guruvayur Sri Krishna Temple, situated in the Malabar region of northern Kerala and central to the performance of K???an???am, emerged as a vital sacred space where royal patronage, ritual authority, and caste hierarchy intersected. The performances exclusivity restricted to Hindu audiences within temple premises reinforced patterns of spatial control and caste-based exclusion. Institutional support codified the tradition, sustaining it across generations within a narrow sociocultural framework. With the decline of Zamorin rule and the onset of colonialism, K???an???am faced structural disruptions. Colonial interventions in temple administration, landholding, and religious patronage weakened its ritual foundations. Guruvayurs transformation into a public devotional center reflected wider shifts in ritual ecology and sacred geography under colonial modernity. In both the colonial and postcolonial periods, K???an???am struggled to survive, nearly facing extinction before its revival under the Guruvayur temples custodianship. By examining K???a devotion, royal ambition, caste dynamics, and colonial transformation, this paper offers a critical lens on Keralas evolving religious and cultural landscapes.  2025 by the authors.</text>
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                <text>caste; colonialism; k???a devotion; K???an???am; postcolonial transformation; sacred space; zamorin</text>
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                <text>Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation</text>
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                <text>arithmetic optimisation algorithm; feature selection; financial crisis prediction; FinTech; hyperautomation; invasive weed optimisation</text>
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                <text>Hyper automation is the group of approaches and software companies utilised to automate manual procedures. Financial Technology (FinTech) was processed as a distinctive classification that highly inspects the financial technology sector from a broader group of functions for enterprises with utilise of Information Technology (IT) application. Financial crisis prediction (FCP) is the most essential FinTech technique, defining institutions financial status. This study proposes an Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest (ESAOA-ODCF) based FinTech Application for Hyperautomation. The ESAOA-ODCF technique has achieved exceptional performance with maximum accu y of 98.61%, and F score of 98.59%. Extensive experimental research revealed that the ESAOA-ODCF model beat more modern, cutting-edge approaches in terms of overall performance.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Mohan P.; Neelakandan S.; Mardani A.; Maurya S.; Arulkumar N.; Thangaraj K.</text>
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                <text>Enterprise Information Systems, Vol-17, No. 10</text>
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                <text>&lt;a href="https://doi.org/10.1080/17517575.2023.2188123" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/17517575.2023.2188123&lt;/a&gt;
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                <text>Mohan P., School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India; Neelakandan S., Department of Computer Science and Engineering, R.M.K Engineering College, Chennai, India; Mardani A., Business School, Worcester Polytechnic Institute, Worcester, MA, United States; Maurya S., School of Computing, Graphic Era Hill University, Dehradun, India; Arulkumar N., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Thangaraj K., Department of Information Technology, Sona College of Technology, Salem, India</text>
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                <text>In the field of accident avoidance systems, figuring out how to keep drivers from getting sleepy is a major challenge. The only way to prevent dozing off behind the wheel is to have a system in place that can accurately detect when a driver's attention has drifted and then alert and revive them. This paper presents a method for detection that makes use of image processing software to examine video camera stills of the driver's face. Driver inattention is measured by how much the eyes are open or closed. This paper introduces Regularized Extreme Learning Machine, a novel approach based on the structural risk reduction principle and weighted least squares, which is applied following preprocessing, binarization, and noise removal. Generalization performance was significantly improved in most cases using the proposed algorithm without requiring additional training time. This approach outperforms both the CNN and ELM models, with an accuracy of around 99% being achieved.   2023 IEEE.</text>
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                <text>Mohan R., Shri Ram Institute of Technology, Ece, Department, Madya Pradesh, Jabalpur, India; Chalasani S., Eluru Vatluru, Department of Computer Science and Engineering, Andhra Pradesh, India; Suma Christal Mary S., Panimalar Engineering College, Department of Information Technology, Tamilnadu, Chennai, India; Chauhan A., Deemed to Be University, Christ, Department of Life Sciences, Karnataka, Bengaluru, India; Parte S.A., Mits Gwalior, Department of Computer Science and Engineering, Madhya Pradesh, India; Anusuya S., K.Ramakrishnan College of Engineering, Department of Electronics and Communication Engineering, Tamilnadu, India</text>
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                <text>Enhanced Edge Computing Model by using Data Combs for Big Data in Metaverse</text>
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                <text>The Metaverse is a huge project undertaken by Facebook in order to bring the world closer together and help people live out their dreams. Even handicapped can travel across the world. People can visit any place and would be safe in the comfort of their homes. Meta (Previously Facebook) plans to execute this by using a combination of AR and VR (Augmented Reality and Virtual Reality). Facebook aims to bring this technology to the people soon. However, a big factor in this idea that needs to be accounted for is the amount of data generation that will take place. Many Computer Science professors and scientists believe that the amount of data Meta is going to generate in one day would almost be equal to the amount of data Instagram/Facebook would have generated in their entire lifetime. This will push the entire data generation by at least 30%, if not more. Using traditional methods such as cloud computing might seem to become a shortcoming in the near future. This is because the servers might not be able to handle such large amounts of data. The solution to this problem should be a system that is designed specifically for handling data that is extremely large. A system that is not only secure, resilient and robust but also must be able to handle multiple requests and connections at once and yet not slow down when the number of requests increases gradually over time. In this model, a solution called the DHA (Data Hive Architecture) is provided. These DHAs are made up of multiple subunits called Data Combs and those are further broken down into data cells. These are small units of memory which can process big data extremely fast. When information is requested from a client (Example: A Data Warehouse) that is stored in multiple edges across the world, then these Data Combs rearrange the data cells within them on the basis of the requested criteria. This article aims to explain this concept of data combs and its usage in the Metaverse.   2023 IEEE.</text>
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                <text>IDCIoT 2023 - International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings, pp. 249-255.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Graphene family materials with non-photocatalytic biocidal properties are highly sought after in the field of biomedicine and nanobiotechnology. But the applications of graphene-based materials were often hampered by their high production cost, low yield, non-renewable precursors, harmful processing newlinetechniques, etc. In this context, this study presented the successful usage of biomass materials as sustainable feedstock for the production of graphene derivatives. Five raw materials of biological origin namely, coconut shell, wood, sugarcane bagasse, Colocasia esculenta leaves and Nelumbo nucifera leaves, were investigated. The graphitized forms of the above materials were newlineused as precursors for the graphene nanomaterial synthesis. They were chemically oxidized and functionalized with tin oxide nanoparticles to form the composite. Nano-systems obtained using an identical chemical route from a universal source of carbon nanomaterials, namely carbon black, were also newlinestudied for the purpose of validation and comparison. The synthesis protocols adopted for the preparation of graphene-based materials were devoid of hazardous reducing agents or byproducts. The products obtained after each stage of treatment were characterized with the help of various spectroscopic and microscopic techniques. newlineEven though structural properties of all the precursors appeared to be broadly the same, a variation in their morphology and defect density was discerned. Various analyses revealed the formation of graphene oxide domains with distinct dimensions after the oxidative treatment. An increase in defect newlinedensity was also observed due to the intercalation of oxygen groups to the carbon layers. Post composite formation, a distribution of ultrafine tin oxide newlinenanoparticles on the graphene surface was observed. The distribution of oxygen newlinefunctionalities on the carbon backbone were found to play a major role in governing the dispersal of tin oxide particles during the nanocomposite formation.</text>
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                <text>Zinc oxide nanoparticles synthesized by hydrothermal technique are used as reinforcements to synthesize polyaniline nanocomposite via in-situ chemical oxidation method. The XRD analysis confirms the formation of polyaniline/zinc oxide nanocomposites. SEM images shows that nano reinforcement is covered with polymer matrix. Nanoparticles are found to be immersed in polyaniline matrix in the TEM images of nanocomposites. Significance of filler morphology in polyaniline nanocomposites is analysed by reinforcing zinc oxide nanoflowers, rods and spheres into polyaniline. Addition of metal oxide into polyaniline improves thermal stability. An increase of 227 % in UV absorption is observed for nanoflower composite compared to pure polyaniline in the absorption spectrum. Photoluminescence spectral analysis shows minimum peak intensity for polyaniline/zinc oxide nanoflower composite. Based on the optical property analysis, Dye-sensitized solar cells are fabricated by coating polyaniline and its nanocomposite with zinc oxide nanoflower. Power conversion efficiency of 5.23 % is obtained for the device based on pristine polyaniline and 7.03 % for nanoflower composite.  2026 Indian Chemical Society.</text>
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                <text>Greener Future: Building Sustainable Tourism Communities;pp.125-138</text>
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                <text>Mohanan S.A., CHRIST (Deemed to be University), Bangalore, India; John S., School of Business Studies and Social Sciences, CHRIST (Deemed to be University), India</text>
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                <text>Community-based tourism (CBT) is an emerging tool for community development, fostering social and economic growth through the active participation of Indigenous communities. This study employs a conceptual approach to examine the current application of CBT and sustainable tourism development (STD), focusing on their potential to address challenges faced by Indigenous women. Drawing on previous research, it highlights womens empowerment and community development advancements while exploring future trends. Mental health in Indigenous communities remains a significant concern, with societal changes, environmental threats, and resource exploitation exacerbating issues such as collective suicide, alcoholism, and violence. Political and socioeconomic factors further contribute to high incidences of mental distress. This chapter explores how CBT and STD can tackle these challenges, empowering Indigenous women and fostering community development and environmental conservation. A comprehensive blueprint for sustainable communities is proposed, addressing environmental, economic, and social factors through collaboration among various stakeholders. This model, grounded in existing literature, aims to guide future research and practical applications. The study is relevant for government agencies, local businesses, residents, tourists, academics, and scholars, offering insights into the empowering potential of CBT and STD for Indigenous women and their communities.  2025 Andrea Edurne Jimenez Ruiz, Volha Rudkouskaya, and Shivam Bhartiya.</text>
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                <text>Agripreneurship, Digital Inclusion and Sustainability: Rural Innovation and Growth in the Global South;pp.100-118</text>
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                <text>Mohanan S.A., Department of Tourism Management, Christ University, Bangalore, India; Sathiyaseelan A., Department of Psychology, Christ University, Bangalore, India; John S., Department of Tourism Management, Christ University, Bangalore, India; Hassan S.C., Department of Home Economics, Isa Kaita College of Education, Dutsinm, Nigeria</text>
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                <text>Gender inequality and climate change are pressing global issues, with income disparity further exacerbating the challenges faced by women, especially in rural and tribal communities. This chapter investigates the empowerment journey of rural and tribal women through rural entrepreneurship, specifically focusing on the efforts of the Uravu Organization in Wayanad, Kerala, India. Uravu, a non-profit non-governmental organization, aims to empower rural communities through sustainable practices, particularly emphasizing the bamboo industry and womens skill enhancement in handicrafts. Using Scheyvens theoretical framework, the qualitative research this chapter is based on in-depth interviews with female employees of Uravu to evaluate their empowerment levels. The findings reveal that while these women experience significant psychological and economic empowerment, they continue to face challenges in achieving political and social empowerment. This study underscores the potential of zero waste and environmentally friendly organizations in fostering job creation for rural and tribal women, thereby contributing to resilient community building and community-based sustainable development.  CAB International 2026.</text>
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                <text>CABI International</text>
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                <text>Mohanani, Jayesh; Tulasi, B.; Divya, V.R.</text>
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                <text>3rd International Conference on Emerging Computation and Information Technologies, ICECIT 2025 - Book of Abstracts;</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICECIT67774.2025.11451087" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECIT67774.2025.11451087&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105036375089?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105036375089?origin=resultslist&lt;/a&gt;</text>
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                <text>Mohanani J., CHRIST (Deemed to be University), Dept. of Statistics and Data Science, Bangalore, India; Tulasi B., CHRIST (Deemed to be University), Dept. of Statistics and Data Science, Bangalore, India; Divya V.R., CHRIST (Deemed to be University), Dept. of Statistics and Data Science, Bangalore, India</text>
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                <text>Microplastics are one of the major contaminants of processed foods at a global scale and they contain high risks for human health. Even though the public understanding of the issue has become wider, the knowledge of individual levels of exposure is still very much limited together with the practical tools which can estimate microplastic ingestion. This study proposes a complete data pipeline and a machine learning framework for predicting microplastic contamination and estimating personalised exposure to microplastics depending on country, specific consumption patterns and contamination trends of a long, term nature. The dataset consisted of approximately 18 food groups across 109 countries. So far the data has been through a very thorough preprocessing stage, exploratory analysis, and feature engineering was undertaken, which among other things, included microplastic load aggregation, the addition of lagged variables, and mixing serving sizes information. Random Forest and XGBoost regressors models were trained to predict the levels of contamination from 2019 to 2030. Polynomial Regression delivered the highest accuracy on the training data of R2= 0.9897. While XGBoost gave the best generalization result of R2 = 0.9469 and was therefore chosen as a final forecasting model. The consumption of microplastics through the global food chains is predicted to keep increasing. The originality of this study is in the combination of the long, term contamination data with the selective food, category modelling that allows to generate a reliable framework for the forecasting of the individual intake and to provide to the policy makers EBP (Evidence, Based Policy) advice.  2025 IEEE.</text>
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                <text>SN Computer Science;Volume;6;Issue;2;Article No.;117;</text>
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                <text>&lt;a href="https://doi.org/10.1007/s42979-024-03619-1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s42979-024-03619-1&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/85218136650?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/85218136650?origin=resultslist&lt;/a&gt;</text>
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                <text>Mohanapriya D., Department of Computer Science (SF), Sourasthra College, Tamil Nadu, Madurai, India; Rajalakshmi K., Department of Computer Applications, CMR Institute of Technology, Karnataka, Bangalore, India; Helen Josephine V.L., Business Analytics, School of Business and Management, Christ University, Karnataka, Bangalore, India; Panneerselvam K., Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Tamilnadu, Uthupalayam, 641407, India</text>
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                <text>The activity of the object in question is alerted directly upon completion of an effective object tracking. Dependent on hardware support or not, a strong object tracking protocol is required for a precise object tracking application. According to these methods, tracking an object accurately within a predetermined processing time window required a significant amount of computer complexity. In contrast, a variety of quality-degrading elements, including occlusion, shifting lighting, shadows, and so on, have an adverse effect on tracking. All of these tracking shortcomings will be fixed by a revolutionary residual network based on loss operator and anchor creation. Detection of object has concerns that rely on the process of feature extraction to afford efficient quality. For this purpose a model called ResNet has been used that comprises thirty layers and hence named as Resnet-thirty. These networks are a type of Convolutional Neural Network (CNN) that contain residual connections among various layers. The various merits of these connections is the network has the capability to learn the features of global, local and intermediate in parallel. As such, the system is robust against changes in lighting. These variations in light were understood in terms of tracking objects within a changing background. The proposed work uses MOT datasets. This dataset comprises of MOT 15, MOT16, MOT17 and MOT20. The results have been found by using these datasets. Hence, it evidently outperforms in terms of precision, recall, MOTA, IDF, MOTP, SAIDF and F1 measure to track the objects.  The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>Improved Henon Chaotic Map-based Progressive Block-based visual cryptography strategy for securing sensitive data in a cloud EHR system</text>
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                <text>Henon maps; Improved henon chaotic map; Lorentz maps; Progressive visual cryptography; Secret sharing</text>
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                <text>The core objective of secret sharing concentrates on developing a novel technique that prevents the destruction and leakage of original data during the distribution and encoding processes. Progressive Visual Cryptography (VC) is considered for the potential over the traditional VC schemes since the former does not require and does not suffer from the limitations of requiring a minimum number of participants during the process of encryption and sharing. The chaotic map-based Progressive VC is superior in facilitating predominant secrecy under sharing and encryption. In this paper, an Improved Henon Chaotic Map-based Progressive Block-based VC (IHCMPBVC) scheme is proposed to prevent the leakage and destruction of sensitive information during an exchange and encryption. This proposed IHCMPBVC technique uses the merits of Henon and Lorentz maps for effective encryption since it introduces the option of deriving non-linear behavior that results in sequence generation that covers the complete range with proper distribution in order to minimize the degree of leaks in sharing. The simulation results of the proposed IHCMPBVC technique investigated using entropy, PSNR, and Mean Square Error were improved at an average rate of 27%, 23%, and 31%, predominant to the baseline VC approaches considered in the comparison.  2022 The Authors</text>
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                <text>Mohanasundaram A.; Aruna S.K.</text>
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              <elementText elementTextId="110811">
                <text>International Journal of Intelligent Networks, Vol-3, pp. 109-112.</text>
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              <elementText elementTextId="110812">
                <text>KeAi Communications Co.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.ijin.2022.08.004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijin.2022.08.004&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138500541&amp;amp;doi=10.1016%2Fj.ijin.2022.08.004&amp;amp;partnerID=40&amp;amp;md5=c06307b2ae517d72b0f57d8278b1b671" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138500541&amp;amp;doi=10.1016%2fj.ijin.2022.08.004&amp;amp;partnerID=40&amp;amp;md5=c06307b2ae517d72b0f57d8278b1b671&lt;/a&gt;</text>
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              <elementText elementTextId="110815">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>A related resource</description>
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              <elementText elementTextId="110816">
                <text>ISSN: 26666030</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="110817">
                <text>Online</text>
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              <elementText elementTextId="110818">
                <text>English</text>
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              <elementText elementTextId="110820">
                <text>Mohanasundaram A., Department of Applied Computer Science, Vrije Universiteit Brussel, Belgium; Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), India</text>
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                  <text>Faculty Publications</text>
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              <elementText elementTextId="207950">
                <text>Mohandoss, Anusa Arunachalam; Thavarajah, Rooban</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="207951">
                <text>Paraquat associated stomatitis: A forensic marker of exposure intent and prognosis</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="207952">
                <text>01-01-2026</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="207953">
                <text>Journal of Forensic and Legal Medicine;Volume;119;Issue;;Article No.;103113;</text>
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              <elementText elementTextId="207954">
                <text>&lt;a href="https://doi.org/10.1016/j.jflm.2026.103113" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jflm.2026.103113&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035119169?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035119169?origin=resultslist&lt;/a&gt;</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="207955">
                <text>Mohandoss A.A., Department of Psychiatry, Shri Sathya Sai Medical College and Research Institute, Affiliated to Sri Balaji Vidyapeeth, Deemed to be University, SBV Nagar, Chennai Campus, Tamil Nadu, 603108, India; Thavarajah R., Marundeeswara Oral Pathology Services and Analytics, B-1, Mistral Apartments, Wipro Street (Off Rajiv Gandhi IT Highway), Shollinganallur, Chennai, 600119, India, Department of Oral and Maxillofacial Pathology, Ragas Dental College &amp;amp; Hospital, (Affiliated to the Tamil Nadu Dr. MGR Medical University, Chennai) 2/102 East Coast Road, Uthandi, Chennai, 600119, India</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="207956">
                <text>Introduction: Paraquat-associated stomatitis (PAS) is a hallmark of paraquat poisoning but its potential as an intent-specific or prognostic marker remains unexplored. This study investigated whether PAS patterns differ between accidental and suicidal exposures. Methods: A pooled, individual case analysis of 170 paraquat poisoning cases from 122 publications was conducted following PRISMA guidelines. Data on demographics, exposure intent, and detailed oral lesion characteristics (morphology, pattern, severity) were extracted. Statistical analyses identified predictors of intent and prognosis. Results: Oral lesions were present in 78.8% of cases. While the overall prevalence of PAS did not differ between accidental (85.1%) and suicidal (83.9%) intents, lesion morphology was a key differentiator. Widespread ulcers were strongly associated with suicidal ingestion (aOR=6.37; 95% CI 1.9520.78; P=0.002), independent of lesion severity or WHO grade. Conversely, focal but objectively more severe ulcers characterized accidental exposures. Lesion morphology, not severity, distinguishes intent. Other independent predictors of suicidal intent included female sex (aOR=3.40; P=0.031), oliguria (aOR=4.21; P=0.006), and delayed treatment (aOR=8.39; P=0.023). Paradoxically, accidental exposures were associated with significantly higher mortality (68.9%) compared to suicidal cases (39.8%) (P=0.001). The absence of PAS reliably indicated a non-oral exposure route (P&amp;lt;0.001). Discussion: This work introduces the novel concept of intent-specific PAS morphology, establishing ulcer pattern as a forensic marker. It is demonstrated, for the first time, that widespread lesions objectively indicate suicide, while focal, severe ulcers signify accidental exposurea finding linked to a paradoxical mortality risk. This intent-specific signature could provide clinicians with a rapid, objective tool for stratification. For medicolegal investigations, it qualifies PAS as crucial physical evidence to clarify disputed histories, advocating for its systematic documentation in clinical and autopsy practice as a new standard in forensic toxicology.  2026 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="207957">
                <text>Forensic toxicology; Oral mucositis; Paraquat; Poisoning; Stomatitis</text>
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            <name>Publisher</name>
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              <elementText elementTextId="207958">
                <text>Churchill Livingstone</text>
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                <text>ISSN: 1752928X;</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="207960">
                <text>English</text>
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                <text>Article</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="207962">
                <text>Restricted Access; Hardcopy may be available in the library</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="207963">
                <text>online</text>
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          <element elementId="50">
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            <elementTextContainer>
              <elementText elementTextId="97655">
                <text>Effect of Short Glass Fiber Addition on Flexural and Impact Behavior of 3D Printed Polymer Composites</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="97656">
                <text>Fused deposition modeling (FDM), one of the most widely used additive manufacturing (AM) processes, is used for fabrication of 3D models from computer-aided design data using various materials for a wide scope of applications. The principle of FDM or, in general, AM plays an important role in minimizing the ill effects of manufacturing on the environment. Among the various available reinforcements, short glass fiber (SGF), one of the strong reinforcement materials available, is used as a reinforcement in the acrylonitrile butadiene styrene (ABS) matrix. At the outset, very limited research has been carried out till date in the analysis of the impact and flexural strength of the SGF-reinforced ABS polymer composite developed by the FDM process. In this regard, the present research investigates the impact and flexural strength of SGF-ABS polymer composites by the addition of 15 and 30 wt % SGF to ABS. The tests were conducted as per ASTM standards. Increments in flexural and impact properties were observed with the addition of SGF to ABS. The increment of 42% in impact strength was noted for the addition of 15 wt % SGF and 54% increase with the addition of 30 wt % SGF. On similar lines, flexural properties also showed improved values of 44 and 59% for the addition of 15 and 30 wt % SGF to ABS. SGF addition greatly enhanced the properties of flexural and impact strength and has paved the path for the exploration of varied values of reinforcement into the matrix.  2023 The Authors. Published by American Chemical Society</text>
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              <elementText elementTextId="97657">
                <text>Mohankumar H.R.; Benal M.G.M.; Pradeepkumar G.S.; Tambrallimath V.; Ramaiah K.; Khan T.M.Y.; Bhutto J.K.; Ali M.A.</text>
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              <elementText elementTextId="97658">
                <text>ACS Omega, Vol-8, No. 10, pp. 9212-9220.</text>
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              <elementText elementTextId="97659">
                <text>American Chemical Society</text>
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              <elementText elementTextId="97660">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1021/acsomega.2c07227" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1021/acsomega.2c07227&lt;/a&gt;
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                <text>Mohankumar H.R., Department of Mechanical Engineering, Government Engineering College, Kushalnagar, 571234, India; Benal M.G.M., Department of Mechanical Engineering, Government Engineering College, Kushalnagar, 571234, India; Pradeepkumar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, 560029, India; Tambrallimath V., Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Ramaiah K., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, 560078, India; Khan T.M.Y., Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Bhutto J.K., Department of Electrical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Ali M.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia</text>
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