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                <text>Evaluation of Photoswitching Properties for Hockey Stick-Shaped Mesogens Bearing Azo Benzene Moieties</text>
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                <text>azobenzene; hockey stick; optical storage devices; photoisomerization; thermal back relaxation</text>
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                <text>In this paper, we report the photoresponsive behavior of hockey stick-shaped mesogens bearing azo wing with different terminal alkoxy chains at one terminal end. Except for the compound E16, which exhibits SmC along with nematic phase, all other mentioned compounds exhibit nematic phase alone. Influence of chain length on the photophysical properties were investigated using UV-Vis spectroscopy. It is observed here that influence of chain length is negligible on thermal back relaxation time. Spectroscopic investigation with variable intensities of UV light studies reveals that reverse cis-trans isomerization process was inversely proportional to the intensity of illuminated light. The present study also reveals that the structure-property relationship plays a dominant role on shape anisotropic structures. A spectroscopic study of the solid sample using guest-host mixture was also carried out and the compilation of results forecast these mesogens as ideal candidates for optical storage devices.  Copyright  2021 Sunil, Monika, Shanker, Hegde and Prasad.</text>
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                <text>Sunil B.N.; Monika M.; Shanker G.; Hegde G.; Prasad V.</text>
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                <text>Frontiers in Physics, Vol-9</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Sunil B.N., BSN Centre for Nano-materials and Displays, B.M.S. College of Engineering, Bengaluru, India; Monika M., Centre for Nano and Soft Matter Sciences, Bengaluru, India; Shanker G., Department of Chemistry, Jnana Bharathi Campus, Bangalore University, Bengaluru, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Prasad V., Centre for Nano and Soft Matter Sciences, Bengaluru, India</text>
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                <text>Simulation of the Electrical Control Unit (ECU) in Automated Electric Vehicles for Reliability and Safety Using On-Board Sensors and Internet of Things</text>
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                <text>Electric Vehicles; Electronic Control Units; energy storage system; Hybrid Electric Vehicles</text>
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                <text>The adaptation of the energy storage system (ESS) with high power and energy density remains a difficulty for electric vehicles (EVs), despite the increasing demand they are experiencing around the world. A lightweight, compact ESS is necessary to deliver the responsive performance and driving range that modern vehicles need. When planning for widespread use of EVs, it's important to give careful attention to the factors of ESS selection, sizing, and administration. One of the most promising future mobility alternatives is the hybrid electric vehicle (HEV), which offers improved fuel economy and lower pollution levels. As a result, one of the most pressing needs is for automakers to develop new technologies for vehicle design that might help lessen emissions and boost economy. The environmental impact of emissions from light-duty cars is growing in tandem with the annual increase in the number of such vehicles on the road. The usage of other modes of transportation, such as ships and planes, is on the rise, but road transportation will always be the most common. Electronic Control Units, or ECUs, have been increasingly commonplace in cars during the past few decades. Vehicle network multicore CPU scheduling is notoriously difficult. This study's findings consist of a straightforward power-sharing control approach for the HESS based on battery and UC, with the goal of extending the battery's useful life in a city environment.   2023 IEEE.</text>
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                <text>Sunil Kumar M.; Anuradha T.; Srinivas Y.; Santhi Sri T.; Catherine T.J.; Aurelia S.</text>
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                <text>2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 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/ICECCT56650.2023.10179682" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECCT56650.2023.10179682&lt;/a&gt;
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                <text>ISBN: 978-166549360-4</text>
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                <text>Sunil Kumar M., School of Computing, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Department of Computer Science and Engineering, AP, Tirupathi, India; Anuradha T., KCG College of Technology, Department of Electrical and Electronics Engineering, Chennai, India; Srinivas Y., Vignana Bharathi Institute of Technology, Department of ECE, Hyderabad, India; Santhi Sri T., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Guntur, India; Catherine T.J., R.M.K. College of Engineering and Technology, Department of EEE, RSM Nagar, Puduvoyal, India; Aurelia S., CHRIST University, Department of Computer Science, Bangalore, India</text>
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                <text>Is there spill-over effect among metals?</text>
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                <text>Metal price volatility; Multivariate GARCH; Volatility persistence; Volatility spill-over effect</text>
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                <text>This paper was aimed at examining the existence of volatility spill-over between precious and industrial metals by estimating Multi-variate GARCH model. Metals chosen for this study were aluminium, copper, gold and silver. Data from 1st march 2004 to 31st March 2018 were used for the analysis. Significant clustering effect was found in the variance of all the metals studied. Significantly strong volatility spill-over was found between aluminium and copper when compared to other metals. It was also noted that the persistence of volatility spill-over between copper and aluminium is the least among other metals. Since there is significant spill-over between aluminium and copper, portfolio managers are advised to avoid investing in them together in their portfolios.  2019 SERSC.</text>
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                <text>Sunil N.S.; Natchimuthu N.</text>
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                <text>International Journal of Advanced Science and Technology, Vol-29, No. 2, pp. 72-80.</text>
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                <text>Science and Engineering Research Support Society</text>
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                <text>ISSN: 20054238</text>
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                <text>Sunil N.S., Department of Commerce, Christ (Deemed to be university), Delhi NCR, Ghaziabad, 201003, Delhi NCR, India; Natchimuthu N., Department of Commerce, Christ (Deemed to be university), Hosur Main road, Bangalore, 560029, Karnataka, India</text>
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                <text>This paper measures and maps the past studies in the field of Computational Intelligence and Innovation and further understand the application of Computational Intelligence in the field of study of innovation related to businesses. The bibliometric analysis shows the associations of various sub themes of research that was done between the period 2000 to Aug 2022. Scopus database is used to collect relevant documents of the field of study where 115 documents are sourced. The descriptive nature of the field of studies is analyzed in detail and further using VOS Viewer, the network analysis study is conducted to understand the association of authors, author country publication, themes and publication pattern, in detail. Further, an in-depth review analysis is done to understand the application of Computational Intelligence in the fields of Business Management and Social Science with aids innovation in the respective fields. Recent studies focus on machine learning, neural network, digital transformation, internet of things and other upcoming areas. The growth in these sub themes exhibit the multidisciplinary research happening in this field. This is paving way for future researchers to use the already found computing intelligence techniques to varied subject areas like medicine, management, economics etc., to foster innovation.   2022 IEEE.</text>
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                <text>Sunil N.S.; Natchimuthu N.</text>
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                <text>Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 1492-1498.</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/IC3I56241.2022.10073029" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IC3I56241.2022.10073029&lt;/a&gt;
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                <text>ISBN: 979-835039826-7</text>
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                <text>Sunil N.S., Christ University, School of Commerce, Finance and Accountancy, India; Natchimuthu N., Christ University, School of Commerce, Finance and Accountancy, India</text>
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                <text>Grading of Apples Using Multiple Features</text>
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                <text>Apple; Discrete cosine transform; Drupes; Fast Fourier transform; Image processing; MATLAB; MLP; Naive Bayes; Random Forest; WEKA</text>
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                <text>Apple is the most demanding food product that has the utmost importance when it comes to drupes. Food is the very basic necessity for our survival. Every new day brings a change, and the demand for a better quality is no greed. Quality food benefits the health of the living beings, and thus, it increases the economic growth of our country. There is a huge possibility that identifying the different varieties of apples is quite a tedious job for these traders and time consuming. Generally, identification is done manually by the very three basic senses: sight, hearing and smell. In the proposed work, an image processing technique is used to differentiate between the varieties of apples such that the manual process can be eliminated. Commercially available seven varieties of apple with various size, shape and color are considered to create database. Apples are purchased from different places across Karnataka, India to create the database. Various spatial and frequency domain based features are extracted from the images of apple. Naive Bayes, Random Forest and Multilayer perceptron (MLP) classifiers are used and got motivating results. An average accuracy of 78.47% is obtained using methods like Fourier Transform and Discrete Cosine Transform.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Sunil S.R.; Anita H.B.; Renupriya P.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-356, pp. 191-200.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130361613&amp;amp;doi=10.1007%2F978-981-16-7952-0_18&amp;amp;partnerID=40&amp;amp;md5=c0460b83a93181bca693b53ba6950a4e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130361613&amp;amp;doi=10.1007%2f978-981-16-7952-0_18&amp;amp;partnerID=40&amp;amp;md5=c0460b83a93181bca693b53ba6950a4e&lt;/a&gt;</text>
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              <elementText elementTextId="181215">
                <text>Restricted Access</text>
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                <text>ISSN: 23673370; ISBN: 978-981167951-3</text>
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              <elementText elementTextId="181220">
                <text>Sunil S.R., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Anita H.B., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Renupriya P., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India</text>
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          <element elementId="39">
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              <elementText elementTextId="205711">
                <text>Sunil, Karthika; Thomas, Tinu</text>
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              <elementText elementTextId="205712">
                <text>In-silico analysis of the mechanism of action ofNerium oleanderbioactive compounds againstHelicoverpa armigera</text>
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                <text>01-01-2025</text>
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              <elementText elementTextId="205714">
                <text>Advanced Agrochem;Volume;4;Issue;4;pp.336-341</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.aac.2025.09.001" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.aac.2025.09.001&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105017600890?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105017600890?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="205716">
                <text>Sunil K., Department of Life Sciences, Christ University, Bangalore, India; Thomas T., Department of Life Sciences, Christ University, Bangalore, India, Centre for Landscapes, Wildlife and Marine Ecology (CLIME), Department of Life Sciences, Christ University, Bangalore, India</text>
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                <text>Helicoverpa armigera is one of the most destructive agricultural pests worldwide, noted for its wide host range, high fecundity, and rapid development of resistance to synthetic insecticides. To address this threat, sustainable botanical alternatives are urgently needed. In this study, Nerium oleander, a toxic ornamental plant rich in secondary metabolites, was evaluated as a potential botanical insecticide through in silico assays. Methanolic extracts were subjected to phytochemical screening, confirming the presence of alkaloids, saponins, cardiac glycosides, coumarins, and terpenoids. Gas Chromatography-Mass Spectrometry (GC-MS) profiling identified 20 major compounds, including terpenoids, fatty acids, sterols, and phenolics, with 2-methoxy-4-vinylphenol (2.7 %), neophytadiene (1.7 %), and phytol (0.9 %) among the key constituents. Cytochrome P450, a central detoxification enzyme in insects, was chosen as the molecular target. Docking analysis revealed strong binding affinities, with phytol (?6.92 kcal/mol, Ki 8.12 ?M), neophytadiene (?6.43 kcal/mol, Ki 14.57 ?M), and 2-methoxy-4-vinylphenol (?5.87 kcal/mol, Ki 45.13 ?M) demonstrating significant inhibitory potential. These findings indicate that N. oleander metabolites may disrupt detoxification pathways in H. armigera, providing a mechanistic basis for their insecticidal action and supporting the plant's promise as a candidate for integrated pest management.  2025 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. LtdThis is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/</text>
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                <text>Bollworm; Botanical insecticide; Cotton; Metabolite profiling; Molecular docking</text>
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              <elementText elementTextId="205719">
                <text>KeAi Communications Co.</text>
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                <text>ISSN: 27732371;</text>
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              <elementText elementTextId="205723">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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              <elementText elementTextId="289368">
                <text>Sunil, M.P.; Khanna, Akanksha</text>
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                <text>Antecedents of Farmers' Intentions to Adopt Drone Technology: Integrating TAM and TPB Models in Agriculture</text>
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                <text>01-01-2025</text>
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            <elementTextContainer>
              <elementText elementTextId="289371">
                <text>Smart Business and Education in the Age of VUCA and BANI;pp.75-106</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3373-7922-7.ch004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-7922-7.ch004&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105027178418?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105027178418?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="289373">
                <text>Sunil M.P., Christ University, India; Khanna A., Symbiosis International University, United Arab Emirates</text>
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                <text>This study examines farmers' behavioral intentions toward adopting drone technology in agriculture using a quantitative approach. Data will be collected from farmers familiar with Agri-based technologies through purposive sampling, with esponses analyzed via structural equation modeling (IBM SPSS AMOS V21). The study integrates the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to understand key factors influencing adoption. Findings highlight that farmers' knowledge of drone operations and economic factors impact their acceptance, while regulations and perceived behavioral control contribute to reluctance. Although the study focuses on farmers, future research can explore perspectives of agricultural specialists, AgriTech start-ups, and policymakers. The insights will help stakeholders enhance the adoption, quality, and flexibility of agricultural technologies. Uniquely, this study addresses the gap in research by examining the role of regulations and behavioral control in farmers' decisions on drone adoption.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>CRC Press</text>
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                <text>Sunil N., Department of Commerce, Christ Academy Institute for Advanced Studies, Christ Nagar, Hullahalli, Begur-Koppa Road, Sakkalwara, Post, Karnataka, Bengaluru, 560 083, India, School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560 029, India; Sathish Kumar B., School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560 029, India</text>
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                <text>Purpose: The current research focused on investigating the moderating effect of financial literacy and financial technology on the heuristic behavior of millennials. Research Approach: The research was based on the primary data; a survey method questionnaire was prepared to collect the data needed for the present research. With the purposive sampling method, 526 responses were collected from millennial investors. The partial least square-structural equation modeling (PLS-SEM) method was applied to infer the moderating effect of financial literacy and financial technology on millennials heuristic behavior. Findings: The results showed that financial literacy significantly moderated the relationship between millennials heuristics and behavioral biases, whereas financial technology had no moderating effect. Research Implications: Millennial investors were slammed or benefited by the stock market performance. The research aimed to help them understand their behavioral changes during market anomalies. Financial advisors and regulatory bodies should consider the studys outcome as it contributes to mitigating the misconception of behavioral bias. Originality: There are numerous articles describing individual investors behavioral biases, but the current researchs uniqueness was to measure the moderating effect of financial literacy and financial technology on millennials heuristics and behavioral biases and a significant contribution to the world of research in behavioral finance.  2025, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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                <text>financial literacy; financial technology; heuristics; millennial investors</text>
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                <text>Toxicon;Volume;268;Issue;;Article No.;108606;</text>
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                <text>Sunil S., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India; P A., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India, Centre for Landscapes, Wildlife and Marine Ecology (CLIME), India</text>
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                <text>Peganum harmala L., a perennial herb traditionally valued for medicinal and ritual uses, was comprehensively profiled to elucidate its chemical composition and cytotoxic potential. Methanolic seed extracts contained diverse primary and secondary metabolites, including alkaloids, flavonoids, saponins, glycosides, steroids, proteins, and carbohydrates. Proximate analysis revealed high moisture (45.88 %) and crude fibre (18.39 %) with moderate fat (14.74 %) and protein (7.67 %) levels. Spectroscopic studies supported the presence of ?-carboline alkaloids: FTIR spectra showed characteristic functional group vibrations, UVVis displayed a strong absorption at 440 nm, and X-ray diffraction revealed semi-crystalline patterns enriched in harmine and harmaline. GCMS provided definitive chemical identification, detecting harmine (53.13 %) and harmaline (39.12 %) as major constituents. Thermal analyses (TGADTA and DTG) indicated multiphase decomposition typical of complex organic matrices. Cytotoxicity assessment using the MTT assay on L929 fibroblast cells demonstrated a dose-dependent decline in cell viability, with an LC50 of 243.9 ?g/mL, signifying moderatehigh cytotoxic potential. These findings validate the ethnomedicinal significance of P. harmala and underscore its promise for phytomedicine, nutraceutical applications, and pharmaceutical research, while highlighting the necessity of standardized and regulated use to ensure efficacy and safety.  2025</text>
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                <text>GC-MS profiling; MTT assay; Phytochemical analysis; Syrian rue seeds; ?-carboline</text>
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                <text>Interrogating Populist Tendencies within the Left Rhetoric in Kerala</text>
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                <text>After the disintegration of the Soviet Union, there has been an increasing shift from class-based politics to politics based on mobilising "people" within the left-wing political praxis and rhetoric. Such tendencies are visible even within the left rhetoric in Kerala. In the particular context of Kerala, this process is enmeshed with sub-nationalist sentiments and concerns around vikasanam (development). It is possible that this tendency can metamorphose into different directions, depending on the tactical priorities of the left in Kerala.  2022 Economic and Political Weekly. All rights reserved.</text>
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                <text>Sunilraj B.; Sasikumar S.</text>
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                <text>Economic and Political Weekly, Vol-57, No. 16, pp. 14-18.</text>
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                <text>Sunilraj B., Department of International Studies Political Science and History, School of Social Sciences, Christ University, Bengaluru, India; Sasikumar S., Centre for Political Studies, Jawaharlal Nehru University, New Delhi, India</text>
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                <text>Parametric effect of minimum quantity lubrication unit using RSM technique to improve the machinability of Inconel 718</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="179635">
                <text>CNC; Inconel 718; MQL; RSM</text>
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            <description>An account of the resource</description>
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                <text>In recent years, a rapid demand of superalloys has been seen in all industrial sectors. Few growing industries such as aerospace and biomedical industries are in need of this superalloy for fabrication of variety of products. Inconel 718 is one such superalloy which is being used for the manufacture of these productions due to high tensile strength, corrosion resistance, hardness and toughness. Due to these superior quality feature of this material friction is being seen at the tool-work interface region. This friction can be reduced by minimum quantity lubrication (MQL) unit which provides coolant at the right time. This paper discusses the minimum quantity lubrication unit used in computer numerical control (CNC) milling machine to improve the machinability of Inconel 718 by reduction of temperature at tool-work interface region and also the parametric effect using response surface methodology (RSM). Minimum quantity lubrication unit allows the cutting fluid to flow out of the nozzle at minimum speed to the cutting region which provides maximum volume of heat removal at very minimized usage of fluid. RSM technique is being implemented to improvise the experimental runs with proper way of extracting the readings and providing the observations. Instead of generating huge datas, RSM shows the accurate path of providing the data in a specified generative table. [copyright information to be updated in production process]  2022</text>
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                <text>Sunit Rout I.; Pal Pandian P.; Raj A.; Melwyn Rego A.</text>
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            <elementTextContainer>
              <elementText elementTextId="179638">
                <text>Materials Today: Proceedings, Vol-66, pp. 2085-2092.</text>
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                <text>The global wellness industry is seeing a major shift in its relevance and growth post COVID-19. The fast-growing wellness industry is driven by organizations of all sizes and scope: large, medium, small and micro enterprises offering a range of services from holistic wellness offerings to focused services, such as beauty, spa, alternative therapy, gym and physical fitness. While we have heterogeneous businesses on the supply side, we have the entire global population on the demand side. Due to the size of the market and growth potential, the competition in wellness service space is intense. In such a situation, it is a challenge to register growth and sustain the same. The challenge is more pronounced for micro-entrepreneurs due to their limited resources and reach. It calls for a strategic approach to managing the businesses to endure the competition and succeed. Hence, wellness businesses are adopting Strategic Management Practices (SMPs) in greater numbers. However, not all strategies work. The purpose of this study is to analyze the impact of significant SMPs adopted by micro-entrepreneurs on business sustainability in the wellness industry. Responses of 392 microentrepreneurs from the wellness industry are recorded and analyzed for the SMPs adopted by them for the economic, environmental and social sustainability of their businesses. The study identified various strategic approaches that are implemented by micro-entrepreneurs in Mysore District and studied the impact SMPs had on sustainability factors of the wellness industry. A model is proposed to support the study. The results conclude that the application of a good amount of SMPs in the form of strategic entrepreneurship enhances the sustainability of a venture as well as the industry, aiding transformation from an unorganized to an organized sector and better regulations.  2024 by World Scientific Publishing Co. Pte. Ltd.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194755877&amp;amp;doi=10.1142%2F9789811286674_0011&amp;amp;partnerID=40&amp;amp;md5=7dea4e898524975861c49a840ae3c58c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194755877&amp;amp;doi=10.1142%2f9789811286674_0011&amp;amp;partnerID=40&amp;amp;md5=7dea4e898524975861c49a840ae3c58c&lt;/a&gt;</text>
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                <text>Sunitha S.P., MIT FGC, Karnataka, Mysore, India; Thomas P., CHRIST (Deemed to be University), Bangalore, India; Mahadev N., BNM Institute of Technology, Bangalore, India, Department of Business Administration, India</text>
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                <text>Available Transfer Capability (ATC) is a measure for transmission system security margin in open access electricity market. Determining the Available Transfer Capability (ATC) of the transmission networks, Repeated Power Flow (RPF) approach have been used since it can satisfy voltage, thermal and stability constraints among all other methods available. The main objectives include identification of best location for UPFC to get maximum ATC enhancement and to propose a novel method for optimizing the UPFC PV bus location using Generation Shift Factor (GSF) so that power system transmission network can deliver more number of power trades.  2016 IEEE.</text>
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                <text>Sunny A.; Janamala V.</text>
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                <text>Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992154183&amp;amp;doi=10.1109%2FICCPCT.2016.7530289&amp;amp;partnerID=40&amp;amp;md5=cfb8383c242c0893e47267b446c786a5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992154183&amp;amp;doi=10.1109%2fICCPCT.2016.7530289&amp;amp;partnerID=40&amp;amp;md5=cfb8383c242c0893e47267b446c786a5&lt;/a&gt;</text>
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                <text>Sunny A., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Bangalore, India; Janamala V., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Bangalore, India</text>
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