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                <text>Optimizing Food Production with a Sustainable Lens: Exploring Blockchain Technology in Raw Plant Materials and Organic Techniques in Achieving Sustainable Development Goals</text>
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                <text>Environmental security; Food security; Long-term farming; Organic techniques; Raw plant materials utilization; Renewable resources; Sustainable agriculture; Waste reduction</text>
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                <text>Amidst a rising population and mounting environ- mental concerns, India seeks a transformative approach to ensure food security and sustainable agriculture by 2030, as outlined in Sustainable Development Goal 2 (SDG 2). This research explores the immense potential of organic farming methods and raw plant materials to unlock this vision. Plants have a wealth of unrealized potential that extends beyond their conventional functions. The study looks at how different plant parts, like branches, leaves, stems, and even "waste"materials, can be used in a variety of ways to increase self-sufficiency, lessen environmental impact, and access renewable resources. Case studies from across the globe highlight this potential, highlighting the many advantages for the environment and communities. Additionally, the study investigates the innovative use of blockchain technology to promote a more transparent and resilient agricultural environment in India. Imagine blockchain-powered climate-smart practices, safe and transparent transactions, and precision agriculture led by sensor data. Water-efficient irrigation, environmentally friendly pest control, and strong traceability systems are all part of this vision, which aims to strengthen the Indian agricultural sector's resilience. The study suggests a framework of customized policy recommendations centered on non-losable farming methods in recognition of the need for wider implementation. This framework, created especially for the Indian context, supports the promotion of agrotourism, improved education and extension services, accessible financial risk management tools, and the smart redistribution of subsidies. The research highlights the transformative potential of this approach by highlighting the many benefits of these practices, including the environmental (less water use, increased biodiversity, improved soil health, and carbon sequestration), social (better community resilience, food security, farmer income, preservation of cultural heritage, equitable trade), and economic (premium market access, lower input costs, and higher yields) gains. In the end, this research offers a strong plan of action for India to greatly advance SDG 2 and create a more sustainable future for all of its people. A food system that feeds people and the environment can be developed by carefully using organic farming methods and unprocessed plant resources in conjunction with successful legislative initiatives.   2024 IEEE.</text>
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                <text>Parameswaran S.; Sanghvi M.; Josephine Williams M.; Tandon A.; Rawat G.; Som A.; Monica L.</text>
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                <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Parameswaran S., Christ University, School of Business and Management, India; Sanghvi M., Christ University, School of Business and Management, India; Josephine Williams M., Sri Krishna Arts &amp;amp; Science College, School of Commerce, India; Tandon A., Christ University, School of Business and Management, India; Rawat G., Christ University, School of Business and Management, India; Som A., Christ University, School of Business and Management, India; Monica L., Christ University, School of Business and Management, India</text>
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                <text>Optimizing Kidney Ultrasound images through Pre-Processing Filters</text>
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                <text>edge detection; enhancement; Filters; Kidney images; Mean Standard Error (MSE); noise; Peak-Signal-Noise-Ratio (PSNR); Pre-processing; quality; Ultrasound (US)</text>
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                <text>Medical image processing and analysis have greatly advanced in the past decade, significantly contributing to the diagnosis of various diseases.However, It is crucial to address the need for effective data management in the medical field due to the significant rise in data generation and storage. It necessitates the exploration of compression methods as a means of achieving efficient data handling. Consideration should be given to image processing approaches to minimize redundancy. Ultrasound imaging has gained importance in recent years, but the presence of artifacts in ultrasound images has complicated diagnoses. An evaluation has been performed to identify appropriate Pre-processing techniques for kidney images before extracting kidney features. Observing the sensitivity and calculating the PSNR and MSE of the filtered image are used to assess the applied methods. The results indicate that the median filter is ideal for image quality enhancement, while the Sobel filter is highly effective in detecting kidney edges.  2023 IEEE.</text>
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                <text>Kausar F.; Ramamurthy B.</text>
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                <text>2023 1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICAEECI58247.2023.10370900" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICAEECI58247.2023.10370900&lt;/a&gt;
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                <text>ISBN: 979-835034279-6</text>
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                <text>Kausar F., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Ramamurthy B., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India</text>
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                <text>Optimizing malachite green adsorption with Co-PTC metal organic framework: Insights into mechanisms and performance</text>
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                <text>Adsorption; Cobalt; Malachite green; Metal-organic framework; Perylene</text>
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                <text>The removal of organic pollutants from aqueous environments has garnered significant attention in environmental science and engineering. Metal-organic frameworks (MOFs) have emerged as promising materials for this purpose due to their intriguing structures, high surface area, and perpetual porosity. In this study, we investigate the adsorption performance of Co-based MOF for the removal of malachite green (MG), a common organic dye pollutant. The MOF, abbreviated as Co-PTC is synthesized via a one-pot green approach using perylene-3,4,9,10-tetracarboxylic dianhydride (PTC) as the ligand at room temperature. Basic to advanced characterization techniques are employed to elucidate the structure and interactions within the MOF. Through a comprehensive analysis, the underlying mechanisms governing the adsorption process are explored, and optimization studies have been carried out. Co-PTC in minute amounts exhibits an adsorption capacity of 79.3 % selectively for MG in 50 min. The kinetics and isotherm models governing the adsorption process are well investigated.  2024 Elsevier B.V.</text>
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                <text>Anand S.; K? R? S.</text>
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                <text>Journal of Molecular Structure, Vol-1318</text>
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                <text>Elsevier B.V.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.molstruc.2024.139256" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.molstruc.2024.139256&lt;/a&gt;
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                <text>ISSN: 222860; CODEN: JMOSB</text>
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                <text>Anand S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; K? R? S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>Optimizing milk run and use of bin-packing in waste collection problems /</text>
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                <text>Option or necessity: Role of environmental education as transformative change agent</text>
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                <text>There is a consensus around the importance of environmental education in mitigating the ill effects of environmental problems and preserving the natural environment and promoting green behaviours. The present paper studies the role of environmental education based on transformative learning theory. It intends to present and test a model proposal using sequential mediation analysis of several constructs as the Environmental Education Support (EES) and Volunteer Attitude (VA). A quantitative study was carried out by using data obtained through online questionnaires from several Indian and Brazilian Higher Education Institutions. A multivariate statistical method was employed to analyse the data by using partial least squares structural equation modelling. The results demonstrated that environmental education positively influences students environmental concern, willingness to be environmentally friendly, and volunteer attitude. As a novelty, it reports that environmental education beliefs, concern for the environment and willingness to be environmentally friendly sequentially mediate the relationship between environmental education support and volunteering attitude.  2023 Elsevier Ltd</text>
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                <text>Sharma N.; Pa A.; Upadhyay D.</text>
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                <text>Evaluation and Program Planning, Vol-97</text>
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                <text>ISSN: 1497189; PubMed ID: 36716606; CODEN: EPPLD</text>
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                <text>Sharma N., International Management Institute New Delhi, India; Pa A., Universidade da Beira Interior, NECE-UBI (Research Centre for Business Sciences), R. Marqu D'ila e Bolama, Covilh 6201-001, Portugal; Upadhyay D., School of Commerce, Finance &amp;amp; Accountancy, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Opto-electric property relationship in phosphorus embedded nanocarbon</text>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="132653">
                <text>Dielectric strength; Fluorescence; Nanocarbon; Phosphorus</text>
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            <description>An account of the resource</description>
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                <text>Graphene, due to its zero band gap, has an excellent combination of the important features such as ballistic transport, tensile strength and chemical tuning, which are practically hindered in opto-electric applications. The precursors used in the production of nanocarbon are relatively costlier; however, that their production processes include difficulties is a harder problem. It is possible to control the size, structure and properties of the produced nanocarbon matrix by tuning sp2 domains in the matrix. In this respect, the coal, being a potential candidate for the synthesis of nanocarbon which holds promising applications, has attracted remarkable interest. The nanocarbon structure reported in this paper was synthesized from bituminous coal and then phosphorus atoms were added into the produced structure in order to obtain resultant composite structure, whose structural properties were illustrated here in detail by using the X-ray, IR and UVVisible spectroscopy techniques. A systematical analysis of the optical and electrical properties of the produced composite has revealed that a composite structure to be produced in the ratio 1:2 of nanocarbon + phosphorus has better optical and electrical properties. We report here that the composite produced in this study from nanocarbon by adding phosphorous atoms shows unique photoluminescent property in particular due to the dominance of quantum confinement and oxygen functionalities. The observed increase in the dielectric strength, which results from interfacial polarization and its frequency independent nature, is desirable for the fields such as supercapacitor, sensor, stealth applications etc.  2018 The Authors</text>
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                <text>Thomas R.; Jayaseeli E.; Sharma N.M.S.; Manoj B.</text>
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                <text>Results in Physics, Vol-10, pp. 633-639.</text>
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                <text>Elsevier B.V.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.rinp.2018.07.018" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.rinp.2018.07.018&lt;/a&gt;
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              <elementText elementTextId="132660">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22113797</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
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                <text>Thomas R., CHRIST (Deemed to be) University, Bengaluru, 560029, India; Jayaseeli E., CHRIST (Deemed to be) University, Bengaluru, 560029, India; Sharma N.M.S., CHRIST (Deemed to be) University, Bengaluru, 560029, India; Manoj B., CHRIST (Deemed to be) University, Bengaluru, 560029, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="132193">
                <text>Oral cancer analysis using machine learning techniques</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="132194">
                <text>Decision tree; KNN; Machine learning; Oral cancer; OSCC; Prediction; Random forest; SVM; TNM</text>
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            <elementTextContainer>
              <elementText elementTextId="132195">
                <text>Oral cancer staging is most required task of examining treatment and required medication for the patients. In oral cancer staging is of two types, namely, clinical and pathological. TNM (Tumor, Node, and Metastasis) staging is clinical system of predicting oral cancer stages, on the other hand Histology, p63 and podoplanin expressions are pathological staging system which is obtained after biopsy test. These staging systems are used in machine leaning techniques to analyze the different stages of oral cancer. The main aim of the paper is to classify different stages of oral cancer using machine learning techniques. The experimental work is based on clinical and pathological staging system. The data set used for this research work is based on Oral Leukoplakia. The data transformation is applied to standardize the data and the features were extracted using correlation coefficient. The extracted features were classified using Decision tree and random forest which are compared against other popular classification methods like SVM, KNN, MLP and Logistic Regression. From the experimental work, it is found that the various stage classification of oral cancer can be classified efficiently with help of Random Forest and Decision Tree. So the classification of various oral cancers can be performed with help of random forest and Decision Tree.  International Research Publication House.</text>
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                <text>Lavanya L.; Chandra J.</text>
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              <elementText elementTextId="132197">
                <text>International Journal of Engineering Research and Technology, Vol-12, No. 5, pp. 596-601.</text>
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              <elementText elementTextId="132198">
                <text>International Research Publication House</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069983569&amp;amp;partnerID=40&amp;amp;md5=91a9887b0af5454295b0d85a5105732d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069983569&amp;amp;partnerID=40&amp;amp;md5=91a9887b0af5454295b0d85a5105732d&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="132201">
                <text>Restricted Access</text>
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                <text>ISSN: 9743154</text>
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                <text>Lavanya L., Department of Computer Science, CHRIST (Deemed to be University), India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), India</text>
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                <text>Orality and the archive: Teaching the partition of India through oral histories /</text>
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                <text>Partition of India</text>
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                <text>Jayagopalan, Gaana.</text>
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                <text>&lt;a href="https://radicalteacher.library.pitt.edu/ojs/radicalteacher/article/view/274" target="_blank" title="Orality and the archive: Teaching the partition of India through oral histories" rel="noreferrer noopener"&gt;https://radicalteacher.library.pitt.edu/ojs/radicalteacher/article/view/274&lt;/a&gt;</text>
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                <text>Amreen J., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Organic food products: A study on perceptions of indian consumers</text>
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                <text>Demography; Organic food products and factors of consumer perception</text>
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                <text>Organic food products are popular across Europe and United States of America. Asia is not far behind with India being a prominent player. The concept of organic food products is not new to Indian farmers. However, there is not much of a consumption taking place domestically despite the fact that India is one of the top 10 players in the world when it comes to the number of farmers engaged in organic cultivation. This study was conducted to understand the factors of consumer perception towards organic food products. The study covered both primary investigation and secondary literature review. Data was collected with the help of a structured questionnaire and was analyzed using percentage analysis and factor analysis to identify the factors of consumer perception.</text>
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                <text>Balaji V.; Injodey J.I.</text>
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                <text>Indian Journal of Marketing, Vol-47, No. 1, pp. 26-40.</text>
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                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>Balaji V., Institute of Management, Christ University, Bengaluru, India; Injodey J.I., Rajagiri College of Social Sciences andRajagiri Business School, Kochi, Kerala, India</text>
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                <text>Organic growth of folk epics : Ownership and contestation of tamil folk epic AnnanmarKathai ( Elder brothers' story) /</text>
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                <text>Folk Religion</text>
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                <text>International Journal Of Humanities and Social Science Invention, Vol.4, Issue 8, pp.299-308, ISSN No: 2319-7722 (Online) 2319-7714 (Print)</text>
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                <text>P. Krishnaswami., Krishnaswami, Mallika</text>
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              <elementText elementTextId="11772">
                <text>&lt;a href="https://www.ijhssi.org/papers/v4(8)/Version-2/G0482057066.pdf" target="_blank" title="Organic growth of folk epics : Ownership and contestation of tamil folk epic AnnanmarKathai ( Elder brothers' story)" rel="noreferrer noopener"&gt;https://www.ijhssi.org/papers/v4(8)/Version-2/G0482057066.pdf&lt;/a&gt;</text>
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                <text>IJHSSI</text>
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                <text>Organic produce and millennials: Motives, attitudes and purchase intention</text>
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                <text>Attitude; Consumer behaviour; Health consciousness; Organic produce; Purchase intentions; Structural equation modelling</text>
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                <text>In this paper, we focus and discuss the factors, which motivates and influence consumer behavior towards organic produce. We extract findings from the Bengaluru city and target population of the study is the millennials i.epeople who belongs to the age group of 23-38. The shift in the attitude and preference of the modern consumers is greatly influenced by the proliferation of various health problems. This study provides a framework for organic industry to understand consumers demand and preferences and provides a perspective of Indian organic produce industry from consumers perspective which might serve as a basis for the future development of organic produce market.  2019 SERSC.</text>
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                <text>Priyansha; Fukey L.N.</text>
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                <text>International Journal of Advanced Science and Technology, Vol-28, No. 20, pp. 912-925.</text>
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                <text>Science and Engineering Research Support Society</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081190149&amp;amp;partnerID=40&amp;amp;md5=625ed1355dd5fe671453a9b2000751f6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081190149&amp;amp;partnerID=40&amp;amp;md5=625ed1355dd5fe671453a9b2000751f6&lt;/a&gt;</text>
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                <text>ISSN: 20054238</text>
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                <text>Priyansha, CHRIST (Deemed to be University), Bangalore, India; Fukey L.N., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support</text>
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                <text>job performance; organisational justice; supervisory support; work engagement</text>
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                <text>The study establishes a relationship between organisational justice, work engagement, job performance, perceived supervisory support and their sub-dimensions. The major research objectives of the study were to check if perceived supervisory support does mediate between organisational justice, work engagement and job performance of faculty in higher educational institutions. A research model was framed and tested to determine the direct and indirect effect of justice of faculty members on work engagement and job performance in the presence of supervisory support in higher education sector. The present study is based on 912 faculty members of higher educational institutions. Five valid, reliable and standard questionnaires were adopted to collect primary data from the higher educational institutions' faculty members in south India. From the study, it is proved that perceived supervisory support partially mediates organisational justice, work engagement and job performance.  2023 British Educational Research Association.</text>
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                <text>Ahamed A.A.; Patrick H.A.; Kareem J.; Mukherjee U.; Nepoleon M.P.</text>
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              <elementText elementTextId="96773">
                <text>Review of Education, Vol-11, No. 1</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/rev3.3390" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/rev3.3390&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153241007&amp;amp;doi=10.1002%2Frev3.3390&amp;amp;partnerID=40&amp;amp;md5=2a707cc7ddb149e33eb68c6c8973366b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153241007&amp;amp;doi=10.1002%2frev3.3390&amp;amp;partnerID=40&amp;amp;md5=2a707cc7ddb149e33eb68c6c8973366b&lt;/a&gt;</text>
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                <text>ISSN: 20496613</text>
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                <text>Ahamed A.A., CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Patrick H.A., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Kareem J., School of Education, CHRIST (Deemed-to-be University), Karnataka, Bangalore, India; Mukherjee U., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India; Nepoleon M.P., Faculty of Management Studies, CMS Business School, Jain (Deemed-to-be University), Karnataka, Bangalore, India</text>
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