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                <text>Vijay S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India; Nayar A.C.V., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India; Anandhu S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>CMI and CMC Congregations; Education; Human Capital Formation; Knowledge Society; Kuriakose Elias Chavara; Skills; Transformation of the individual</text>
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                <text>Developing knowledge societies encompasses personal, social, ethical and political dimensions, integrating all its members and promoting new forms of solidarity involving both present and future generations. Kuriakose Elias Chavara had realized the power of human capital formation for the integral development of the society and initiated pioneering efforts to develop human capital, and established two indigenous religious congregations, Carmelites of Mary Immaculate (CMI) for men and Congregation of the Mother of Carmel (CMC) for women. The objective of this paper is to synthesize the vision of Kuriakose Elias Chavara regarding the concept of human capital formation and examine its result based on vision actualization of CMC congregation and its members and institutions. The paper is divided into three sections; the first section discusses the meaning of human capital formation in the Kerala and Indian context. The second section deals with the human capital formation through the vision and mission of Chavara and the last section explains the human capital formation and women empowerment, and its impact on knowledge societies through CMC congregation. It explains the transformation of individuals inspired by the vision of founder and support of the Congregation, which brings tremendous changes in the society.  2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore).</text>
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                <text>Journal of Dharma, Vol-44, No. 4, pp. 471-486.</text>
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                <text>Thomas D., Department of Education, Christ (Deemed to be University), Bengaluru, India; Thomas K.A., Centre for Education Beyond Curriculum (CEDBEC), India, School of Education Christ University, Bengaluru, India</text>
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                <text>Pasha, Mahaboob; Sharma, Deeplata; Khambhati, Dimpal Prafulchandra; Maharana, Laxmidhar; Thangavelu, Indumathi; Tadepalli, Srinivas; Bhran, Ahmed A.</text>
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                <text>Pasha M., Department of Physics, Presidency University, Karnataka, Bengaluru, India; Sharma D., Department of FBAS (Chemistry), Vivekananda Global University, Jaipur, India; Khambhati D.P., Department of Biomedical Engineering, Faculty of Engineering and Technology, Parul Institute of Technology, Parul University, Gujarat, Vadodara, India; Maharana L., Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Siksha O Anusandhan (Deemed to be University), Odisha, Bhubaneswar, India; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Tadepalli S., Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Bhran A.A., Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia</text>
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                <text>NiFe?O? nanoparticles and L-argininefunctionalized NiFe?O? (NiFe?O4LA) were synthesized, characterized, and evaluated for antimicrobial performance and in vivo biocompatibility in a zebrafish embryo model. The XRD and HRTEM studies confirmed the formation of single-phase cubic spinel NiFe?O? with average crystallite size ? 2030nm. Surface modification with LA preserved the spinel structure while reducing crystallinity and hydrodynamic size 128.7nm. FTIR and XPS verified successful surface functionalization. UV vis measurements showed band-gap narrowing after La conjugation (Eg ? 3.23 ? 3.15eV). NiFe?O?LA exhibited enhanced antimicrobial activity compared with bare NiFe?O? against MRSA and C. albicans an effect attributed to enhanced surface interaction and ROS-mediated oxidative damage. The MIC values of C. albicans is found to 1200g/mL while in the case MRSA is about 900g/mL. The ROS assays with histidine modulation supported a role for redox activity in antimicrobial action. In vivo zebrafish embryo assays showed minimal developmental toxicity at tested exposures with better viability for the LA coated material.  The Author(s), under exclusive licence to Springer Nature B.V. 2026.</text>
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                <text>One of the most famous applications of Graph Theory is in the field of Channel Assignment Problems. There are varieties of graph colouring concepts that are used for different requirements of frequency assignments in communication channels. We introduce here L(t, 1)-colouring of graphs. This has its foundation in T-colouring and L(p, q)-colouring. For a given finite set T including zero, an L(t, 1)-colouring of a graph G is an assignment of non-negative integers to the vertices of G such that the difference between the colours of adjacent vertices must not belong to the set T and the colours of vertices that are at distance two must be distinct. The variable t in L(t, 1) denotes the elements of the set T. For a graph G, the L(t, 1)-span of G is the minimum of the highest colour used to colour the vertices of a graph out of all the possible L(t, 1)-colourings. It is denoted by ?t,1(G). We study some properties of L(t, 1)-colouring. We also find upper bounds of ?t,1(G) of stars and multipartite graphs.  I??k University, Department of Mathematics, 2022; all rights reserved.</text>
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                <text>Sulphur doped graphitic carbon nitride (SGCN) was effectively prepared and comprehensively described. A straightforward synthetic process based on thermal condensation was reported for the synthesis of SGCN using thiourea as a precursor. Cyclic voltammetry (CV) and differential pulse voltammetry were used to evaluate the electrochemical performance of cortisol. SGCN sheets were used to boost the electro-catalytic activity, exhibiting very exceptional electrochemical behaviour towards cortisol. As a result, we obtained a broad linear response range of 0.1-100 ?M, as well as a comparatively low detection limit (15.8 10?8 M). Furthermore, the fabricated SGCN/CFP electrode shows excellent selectivity in the presence of a large number of possible interfering species. SGCN comprises (C with N and S) heteroatoms, which most likely would have led to a better current response towards cortisol detection. Furthermore, the structural defects that generate additional active sites on the surface of SGCN may enhance the quick electron transfer that occurs during the oxidation of cortisol.  2022 The Royal Society of Chemistry.</text>
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                <text>Cherian A.R., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Pa K., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Bhat V.S., Center for Nano-Materials and Displays (CND), B.M.S. College of Engineering, Bangalore, 560 019, India; Sirimahachai U., Center of Excellence for Innovation in Chemistry, Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560076, India</text>
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                <text>New Journal of Chemistry, Vol.46, Issue 41, pp.19975-19983, ISSN No: 1144-0546 (Print) 1369-9261 (Online).&#13;
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                <text>Proceedings - IEEE International Conference on Knowledge Graph, ICKG 2025;pp.35-42</text>
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                <text>Das R., NISER, OCC of HBNI, Bhubaneswar, India; Mohanty S., Christ University, Bangalore, India; Joshi R.B., The Cyprus Institute, Nicosia, Cyprus; Mishra S., NISER, OCC of HBNI, Bhubaneswar, India</text>
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                <text>Class imbalance is a pervasive issue in many realworld datasets, particularly in graph-structured data, where certain classes are significantly underrepresented. This imbalance can severely impact the performance of Graph Neural Networks (GNNs), leading to biased learning or over-fitting. The existing oversampling techniques often overlook the intrinsic properties of graphs, such as Label Informativeness (LI), which measures the amount of information a neighbor's label provides about a node's label. To address this, we propose Label Informativenessbased Minority Oversampling (LIMO), a novel algorithm that strategically oversamples minority class nodes by augmenting edges to maximize LI. This technique generates a balanced, synthetic graph that enhances GNN performance without significantly increasing data volume. Our theoretical analysis shows that the effectiveness of GNNs is directly proportional to label informativeness, with mutual information as a mediator. Additionally, we provide insights into how variations in the number of inter-class edges influence the LI by analyzing its derivative. Experimental results on various homophilous and heterophilous benchmark datasets demonstrate the effectiveness of LIMO in improving the performance of node classification for different imbalance ratios, with particularly significant improvements observed in heterophilous graph datasets. Our code is available at https://github.com/smlab-niser/limo.   2025 IEEE.</text>
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                <text>Efficient extraction of information from various sources is very tedious. Achieving this requires very sophisticated feature classification model and ability of the system to adapt to changing environments of data and its random distributions with an efficient use of computational resources. Label-based feature classification model (LFCM) with dynamic load balancing is proposed to address an efficient model to extract information in data set. This technique is effective in data analysis to discover the new feature set. Label approach incorporates unique label concept and it avoids any data duplication using labels. Each data sample is assigned to only one label to improve the accuracy and effectiveness of the retrieval process. Based on the data relevancy and specific features that can be extracted using proposed algorithm, classification model and semantic representation of data in vector form minimizes the data loss, and dimensionality reduction plays a vital role in building an efficient model. Various graphs and results obtained from the experiments show an improvement of information extraction using this proposed labeled LFCM approach. This approach brings lots of real time challenges that are handled to bring accuracy factor as the main focus in this proposed system. Both classification and extraction uses different model to obtain the intended results.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Swamy C.M., School of Engineering and Technology, Christ University, Bengaluru, India; Babu T.M.R., PES College of Engineering, Mandya, India; Kumar M.S.V., Maharaha Institute of Technology, Mysore, India; Vinodha D., School of Engineering and Technology, Christ University, Bengaluru, India; Kiran B., ATME College of Engineering, Mysore, India</text>
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                <text>Fluorescence imaging; MCF 7 cells; PEG/biotin; Surface modification; Y&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;: Eu</text>
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                <text>The development of non-toxic quantum dots (QDs) for fluorescence labelling of cancer cells can bring significant advancements in the disease detection. Such findings can effectively replace the conventional toxic fluorescent probes by virtue of its tunable optical characteristics. Through this work, we present the development of an efficient fluorescent probe based on B-type Y2O3: Eu QDs for labelling MCF 7 cell lines. The QDs surface was encapsulated by poly ethylene glycol (PEG) along with tumour targeting ligand, biotin. The luminescence capability of the QDs were established through photoluminescence experiments. The QDs were tested to be non-toxic through MTT assay. Fluorescence detection experiments on MCF 7 cells using the nanophosphor established the material's potential to serve as an efficient probe for cancer cell detection.  2024 Elsevier B.V.</text>
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                <text>Inorganic Chemistry Communications, Vol-169</text>
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                <text>Nath S.G., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India; Jose J., Division of Microbiology, Department of Biosciences, Rajagiri College of Social Sciences, Kalamassery, Kerala, Kochi, 683104, India; Bhat S.G., Cochin University of Science and Technology, Kerala, Thrikkakara, 682022, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Labor unrest at Wistron Corporation India plant  What went wrong?</text>
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                <text>Employee attitudes; Employee behavior; Employee commitment; International business; Labor market</text>
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                <text>Learning outcomes: After completion of this case study, students/managers will be able to analyze reasons for the labor unrest at Wistron Corporations Indian manufacturing plant; examine the implementation of labor regulations applicable to the employment of contract workers by Wistron Corporation; infer the problems associated with rapid expansion in the workforce; analyze the labor regulatory challenges faced by Wistron Corporation; and demonstrate problem-solving skills. Case overview/synopsis: The focus of this case study was the crisis faced by Apples contract manufacturer  Wistron Corporation due to labor unrest, riots and violence in its production facility located near Bangalore in India. This case study discussed the CEOs dilemma in resolving the crisis and regaining the confidence of stakeholders, namely, the contract employees, Apple Inc. and the State Government of Karnataka. To give the readers an overview of the crisis  this case discussed in detail the underlying reasons for the labor unrest such as a rapid increase in manpower, unilateral increase in working hours without extra pay, unjustified pay cuts, understaffed and underqualified human resources (HR) department, ill-equipped attendance and payroll system. It also gave an overview of mistakes in labor management that could be avoided by a manufacturing firm. The case also discussed the pressure faced by the Wistron CEO due to probation and a new business freeze by Apple Inc. This case study is suitable for understanding the complexities of labor laws and the legal complications that can arise when a corporation disregards local labor laws while operating in foreign countries. Complexity academic level: The case is best suited for postgraduate and executive MBA students studying labor law, industrial psychology and HR management in commerce and business management streams. The authors suggest that the instructor should inform students to read the case study before attending the 90-min session. It can be executed in the classroom after discussing the theoretical concepts. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 6: Human Resource Management.  2024, Emerald Publishing Limited.</text>
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                <text>Saldanha A.T., Department of Marketing, St. Joseph's Institute of Management, Bangalore, India; Aranha R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Chandran V., Global Institute of Business Studies (GIBS), Bangalore, India</text>
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                <text>Labour migration, the Arabian Gulf, and the expanding territorial imagination in Malayalam cinema</text>
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                <text>Arabian Gulf; caste; Kerala; Malayalam cinema; migration; New Malayalam cinema</text>
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                <text>Mainstream Malayalam cinema of the south Indian state of Kerala has, for the most part, attempted to sidestep the significance of Gulf migration to the regions development. Part of the reason for this historical neglect has been the prevalence of a particular hegemonic vantage point within the films that has centralized the narratives of the landed elites in Kerala, eliding the various historically marginalized communities within the state. This article engages with a recent development within the film industry. It examines how Gulf migration has shaped the affective dimensions and expanding territorial imagination of the New Malayalam Cinema, which has positioned labour migration as one of its central thematic concerns. It is argued that this shift was made possible by the displacement of the universalized territorial imagination of the landed elites in the state that dominated its film industry for most of its history. Subsequently, this article will closely study how director Zakariya places his debut film Sudani from Nigeria (2018) within this new cinematic category, and will demonstrate how he portrays the region of rural Malappuram in north Kerala as a nexus of various migrant experiences, crucially invoking an underlying older order of cosmopolitanism prevalent in the region, fuelled partly by the history of Gulf migration and partly by a tradition and history of migration and transnationalism that predates the formation of the Indian state.  The Author(s) 2023.</text>
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                <text>Journal of Commonwealth Literature, Vol-58, No. 1, pp. 52-67.</text>
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                <text>&lt;a href="https://doi.org/10.1177/00219894221145223" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/00219894221145223&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146621371&amp;amp;doi=10.1177%2F00219894221145223&amp;amp;partnerID=40&amp;amp;md5=ca3a883a48d33c2f1e8681bf25dd2331" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146621371&amp;amp;doi=10.1177%2f00219894221145223&amp;amp;partnerID=40&amp;amp;md5=ca3a883a48d33c2f1e8681bf25dd2331&lt;/a&gt;</text>
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                <text>ISSN: 219894</text>
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              <elementText elementTextId="98012">
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              <elementText elementTextId="98014">
                <text>P T Y., Christ University, India</text>
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                <text>Labour Rights in the Wake of the WTO</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="100542">
                <text>Free Trade; Globalization; International Labour Organization; International Labour Rights; Labour Rights; Labour standards; Trade; Transnational Corporations; World Trade Organization</text>
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                <text>One of the most contentious issues surrounding globalization includes trade and labours rights. In the real world, trade and labour circumstances have an impact on one another. Trading nations should be subject to significant labour standards. It was believed that enforcing labour standards via trade agreements helps to improve the working conditions and income in poor countries, and minimize wage inequalities between rich and poor countries. The World Trade Organizations (WTOs) establishment has resulted in the liberalization of trade and investment. Transnational corporations (TNCs) have become more economically powerful than many countries around the world in todays era of globalization and free trade. These powerful TNCs are violating labour rights and are not accountable for that because of the lack of a legal framework. This calls for a look at issues that arise at the interface of international trade and labour standards, including a brief historical review of labour rights and the, as well as the impact of TNCs on labours and accountability.  2023 Kluwer Law International BV, The Netherlands</text>
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                <text>Singh A.; Mishra A.</text>
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            <elementTextContainer>
              <elementText elementTextId="100545">
                <text>Global Trade and Customs Journal, Vol-18, No. 45876, pp. 284-293.</text>
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              <elementText elementTextId="100546">
                <text>Kluwer Law International</text>
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                <text>&lt;a href="https://doi.org/10.54648/gtcj2023033" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.54648/gtcj2023033&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167876368&amp;amp;doi=10.54648%2Fgtcj2023033&amp;amp;partnerID=40&amp;amp;md5=9ab9d4ec5a0282870b65cd6cede86075" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167876368&amp;amp;doi=10.54648%2fgtcj2023033&amp;amp;partnerID=40&amp;amp;md5=9ab9d4ec5a0282870b65cd6cede86075&lt;/a&gt;</text>
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              <elementText elementTextId="100549">
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                <text>ISSN: 1569755X</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>English</text>
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                <text>Singh A., Christ University Bengaluru, Karnataka, India; Mishra A., Christ University Bengaluru, Karnataka, India</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>Laccase mediated electrosynthesis of heliotropin on mango-kernel derived carbon nanosphere composite: A sustainable approach</text>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="104421">
                <text>Carbon nanospheres; Electrochemical oxidation; Heliotropin or piperonal; Laccase; Mango-seed kernel; TEMPO</text>
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            </elementTextContainer>
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              <elementText elementTextId="104422">
                <text>Facile fabrication of enzyme immobilized carbon nanospheres (CNS) based catalysts with high electrical conductivity and catalytic efficiency are of decisive importance for their electrocatalysis. A novel, green and highly efficient synthesis route for the development of an electrode surface with enhanced electrical conductivity and better catalytic activity for the electrochemical synthesis of heliotropin. The obtained biowaste (mango seed kernels) was pyrolyzed and subjected to acid treatment to form functionalized CNS (f-CNS). The functionalized carbon fiber paper (CFP) electrode was employed as a template for laccase immobilization which was further treated with free laccase resulting in the formation of Lac-fCNS/CFP electrode. The developed electrode exhibited excellent electrooxidation of piperonyl alcohol in the presence of 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO), which served as the mediator. A high yield (78%) of heliotropin was achieved during the electrooxidation at 0.78 V via bulk electrolysis. The obtained product (heliotropin aka piperonal) was confirmed via 1H NMR and 13C NMR. Additionally, computational molecular docking analysis of f-CNS:laccase composite showed strong binding affinity (?6.2 kcal/mol) with TEMPO in comparison with free laccase (?5.1 kcal/mol). The excellent selectivity and efficiency of the developed electrocatalyst aim to surpass all other reported laccase-TEMPO mediated based electrocatalytic oxidation reactions.  2022 Vietnam National University, Hanoi</text>
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              <elementText elementTextId="104423">
                <text>Benny L.; Cherian A.R.; P K.; Varghese A.; Hegde G.</text>
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              <elementText elementTextId="104424">
                <text>Journal of Science: Advanced Materials and Devices, Vol-7, No. 4</text>
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              <elementText elementTextId="104425">
                <text>Elsevier B.V.</text>
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                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.jsamd.2022.100510" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jsamd.2022.100510&lt;/a&gt;
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              <elementText elementTextId="104428">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
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          </element>
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                <text>ISSN: 24682284</text>
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              <elementText elementTextId="104431">
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              <elementText elementTextId="104433">
                <text>Benny L., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Cherian A.R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; P K., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India</text>
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              <elementText elementTextId="12045">
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                <text>Journal of Science: Advanced Materials and Devices, Vol.7, Issue 4, pp.1-11, ISSN No: 2468-2179.&#13;
Facile fabrication of enzyme immobilized carbon nanospheres (CNS) based catalysts with high electrical conductivity and catalytic efficiency are of decisive importance for their electrocatalysis. A novel, green and highly efficient synthesis route is reported here for the development of an electrode surface with enhanced electrical conductivity and better catalytic activity for the electrochemical synthesis of heliotropin. The obtained biowaste (mango seed kernels) was pyrolyzed and subjected to acid treatment to form functionalized CNS (f-CNS). The functionalized carbon fiber paper (CFP) electrode was employed as a template for laccase immobilization which was further treated with free laccase resulting in the formation of Lac-fCNS/CFP electrode.</text>
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                <text>Benny, Libina., Cherian, Anila Rose., Keerthana, P., Varghese, Anitha., Hegde, Gurumurthy.</text>
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                <text>Laccase-immobilized biochar as a unique host matrix for electrochemical detection of gallic acid: a sustainable engineering approach</text>
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                <text>RSC Advances;Volume;15;Issue;33;pp.26886-26896</text>
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                <text>Thomas S.M., Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Rajeev R., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, 560029, India; Sariga, Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, 560029, India; Benny L., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, 560029, India; Jose S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, 560029, India; Varghese A., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Centre for Renewable Energy and Environmental Sustainability, Christ University, Karnataka, 560029, India</text>
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                <text>An electrochemical platform for the detection of organic persistent polyphenolic pollutant, gallic acid (GA), was fabricated using an enzyme-immobilization approach over acid-functionalized biochar (f-BC) modified carbon fiber electrode (CFP) electrode. The f-BC was synthesized from dried pineapple leaves and was characterised using X-ray diffraction analysis (XRD), Raman spectroscopy, scanning electron microscopy (SEM), Fourier Transform-Infrared Spectroscopy (FT-IR), and X-ray photoelectron spectroscopy (XPS) for analysing the physicochemical characteristics. The SEM image of Lac/f-BC/CFP confirmed the presence of a porous and granulated surface upon laccase immobilization, while the FTIR spectrum confirmed the presence of C 00000000 00000000 00000000 00000000 11111111 00000000 11111111 00000000 00000000 00000000 O stretch and N-H bend, indicating amide bond formation. The acid treatment of biochar introduced -OH and -COOH groups that further aided in the successful immobilization of laccase via covalent bonding. The fabricated electrode could demonstrate a linear response within the concentration range of 0.012-40 ?M and a low detection limit (LOD) of 9 nM with high selectivity. The fabricated electrode also showcased high practical utility as it could attain high recovery percentage during real sample analysis in tap, pond, sewage and industrial effluent samples.  2025 The Royal Society of Chemistry.</text>
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                <text>The Atangana-Baleanu derivative and the Laguerre polynomial are used in this analysis to define a new computational technique for solving fractional differential equations. To serve this purpose, we have derived the operational matrices of fractional integration and fractional integro-differentiation via Laguerre polynomials. Using the derived operational matrices and collocation points, we reduce the fractional differential equations to a system of linear or nonlinear algebraic equations. For the error of the operational matrix of the fractional integration, an error bound is derived. To illustrate the accuracy and the reliability of the projected algorithm, numerical simulation is presented, and the nature of attained results is captured in diverse order. Finally, the achieved consequences enlighten that the solutions obtained by the proposed scheme give better convergence to the actual solution than the results available in the literature.  2021 The Author(s).</text>
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                <text>Baishya C.; Veeresha P.</text>
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                <text>Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol-477, No. 2253, pp. 86-90.</text>
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                <text>ISSN: 13645021</text>
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                <text>Baishya C., Department of Studies and Research in Mathematics, Tumkur University, Karnataka, Tumkur, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, India</text>
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                <text>Mukku, Lalasa; SivaChitraLakshmi, S.</text>
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                <text>Lalasa Quantum Computing Method: A Unique Quantum Convolutional Neural Network Architecture</text>
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                <text>2025 IEEE 2nd International Conference on Electrical, Electronics, Communication and Computers, ELEXCOM 2025;</text>
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                <text>Mukku L., Department Of Computer Science and Engineering, CHRIST(Deemed to be University), Bengaluru, 560074, India; SivaChitraLakshmi S., Department Of Computer Science and Engineering(Emerging Technologies), SRM Institute of Science and Technology, Vadapalani, chennai, 600026, India</text>
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                <text>A novel Lalasa Quantum Computing Method architecture is presented in this paper for classification of medical images, aiming to enable efficient early detection of cancer. The proposed framework integrates a custom preprocessing pipeline that removes specular reflections using a SWIN Transformer and segments regions of interest via an Enhanced Gaussian Mixture Model. The quantum classification module employs amplitude encoding to map classical image data into quantum states, enabling structured feature extraction through a sequence of quantum convolutional layers with trainable variational circuits. The model was implemented using IBM Qiskit and trained on the publicly available Intel &amp;amp; Mobile ODT Cervical Cancer Screening dataset. Experimental results show a high overall classification accuracy of 98.58%, with moderate performance on class-specific F1-scores, recall, and precision. These results demonstrate the feasibility and effectiveness of quantum-classical hybrid models for medical image analysis, particularly in high-dimensional, low-sample scenarios. The study sets stage for future advancements in quantum machine learning applications in healthcare, with potential extensions involving real quantum hardware deployment and multiclass classification improvements.  2025 IEEE.</text>
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                <text>artificial intelligence; cervical cancer; Quantum computing; quantum machine learning; Quantum neural networks</text>
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                <text>Laminating techniques for luxury textiles</text>
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                <text>Asian Textile Journal;Volume;34;Issue;2;pp.53-56</text>
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                <text>Gurusamy M., Adarsh Inst of Management and Information Technology, Bengaluru, 560018, India; Bhargavi V.R., Seshadripuram College, Bengaluru, India; Seranmadevi R., CHRIST (Deemed to be University), Bengaluru, India; Mohanraj P., SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India; Sankar M., Knowledge Institute of Technology, Salem, India; Francis S., Karunya Institute of Technology and Sciences, Coimbatore, India</text>
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                <text>In this paper, we delved into the transformative aspects of lamination techniques in luxury textiles. We started by explaining luxury textiles and what makes them premium: craftsmanship, exclusivity, superior ingredients, silk, cashmere, fine wool etc. They presented the lamination procedures that are considered pre-processing steps to improve the functionality, lifespan, and appearance of such textiles.</text>
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                <text>Mahendra H.N., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560060, India; Pushpalatha V., Department of Information Science and Engineering, JSS Academy of Technical Education, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560060, India; Rekha V., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, 560060, India; Sharmila N., Department of Electrical and Electronics Engineering, JSS Science and Technology University, Karnataka, Mysuru, 570015, India; Kumar D.M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560060, India; Pavithra G.S., Department of Computer Science and Engineering, AI-ML, RNS Institute of Technology, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560098, India; Basavaraj N.M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560060, India; Mallikarjunaswamy S., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, Bengaluru, 560060, India</text>
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                <text>Land Use and Land Cover (LULC) classification is critical for monitoring and managing natural resources and urban development. This study focuses on LULC classification for change detection analysis of remotely sensed data using a machine learning-based Random Forest classifier. The research aims to provide a detailed analysis of LULC changes between 2010 and 2020. The Random Forest classifier is chosen for its robustness and high accuracy in handling complex datasets. The classifier achieved a classification accuracy of 86.56% for the 2010 data and 88.42% for the 2020 data, demonstrating an improvement in classification performance over the decade. The results indicate significant LULC changes, highlighting areas of urban expansion, deforestation, and agricultural transformation. These findings highlight the importance of continuous monitoring and provide valuable insights for policymakers and environmental managers. The study demonstrates the effectiveness of using advanced machine-learning techniques for accurate LULC classification and change detection in remotely sensed data.  2025 by the authors.</text>
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