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                <text>Tweaking the electrocatalytic ability of Cu-MOF by the inclusion of PTA: a selective electrochemical sensor for resorcinol</text>
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                <text>Resorcinol (RL) is a phenolic compound that is extensively utilized in the industrial sector, mostly for skin care applications as an antiseptic and disinfectant. However, this chemical has the potential to be very hazardous to people and the environment due to its pernicious nature in the environment owing to its high degree of toxicity and weak degradation capacity. Finding novel analytical techniques to monitor RL is therefore crucial. A facile and superior electrochemical fabrication route was procured to develop the composite of Cu-BTC-MOF/PTA/CFP for the sensitive detection of resorcinol (RL). The modified Cu-BTC-MOF/PTA/CFP (copper benzene-1,3,5-tricarboxylate-poly-3-thiophene acetic acid) electrode displayed improved electron transport features as well as excellent electrocatalytic performance. The developed electrode was characterized using physicochemical and electrochemical techniques. The enhanced electrochemical activity of the Cu-BTC-MOF/PTA/CFP electrode compared to the individual MOF and polymer electrode was examined using electrochemical characterization, which revealed a 10-fold increase in the current response for Cu-BTC-MOF/PTA/CFP (0.004 A) compared to the bare electrode. The cyclic voltammetric analysis of the Cu-BTC-MOF/PTA/CFP electrode in the presence of 120 nM analyte gave an oxidation peak at 0.62 V and a 5.4-fold increase in the current peak compared to the bare CFP electrode suggesting a higher sensitivity in sensing the analyte. The limit of detection for RL under optimal conditions was calculated to be 8 nM with a broad linear range from 0.025 ?M to 350 ?M. In addition, the Cu-MOF/PTAA/CFP electrode was scrutinized for its stability, reproducibility, and selectivity. Real sample analysis was carried out to validate the analytical applications.  2024 RSC.</text>
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                <text>Jose S.; Ghosh M.; Varghese A.</text>
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                <text>Materials Advances, Vol-5, No. 9, pp. 3812-3823.</text>
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                <text>Royal Society of Chemistry</text>
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                <text>&lt;a href="https://doi.org/10.1039/d3ma01027a" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d3ma01027a&lt;/a&gt;
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                <text>Jose S., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Ghosh M., Department of Chemistry, Ashoka University, Haryana, 131029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India</text>
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                <text>Informal Waste Recycling in Dharavi A Marxist Feminist Reading of The Women of Wasteland</text>
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                <text>John N.</text>
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                <text>Economic and Political Weekly, Vol-59, No. 10, pp. 64-65.</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-s2.0-85187362550&amp;amp;partnerID=40&amp;amp;md5=a214d179d88a6d39b78fbfb6b8461318" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187362550&amp;amp;partnerID=40&amp;amp;md5=a214d179d88a6d39b78fbfb6b8461318&lt;/a&gt;</text>
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                <text>ISSN: 129976</text>
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                <text>John N., Christ (Deemed to be University), Bengaluru, India</text>
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                <text>Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease</text>
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                <text>(ABPNN-ANFIS); Chronic kidney disease (CKD); DL algorithms; MATLAB; UCI CKD Dataset</text>
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                <text>A steady deterioration in kidney function over months or years is known as chronic kidney disease (CKD). Through a range of techniques, such as pharmacological intervention in moderate cases and hemodialysis and renal transport in severe cases, early identification of CKD is crucial and has a substantial influence on reducing the patient's health development. The outcomes show the patient's kidneys' present state. It is suggested to develop a system for detecting chronic renal disease using machine learning. Finding the best feature sets typically involves using metaheuristic algorithms since feature selection is an NP-hard issue with amorphous polynomials. Semi-crystalline tabu search (TS) is frequently used for both local and global searches. In this study, we employ a brand-new hybrid TS with stochastic diffusion search (SDX)-based feature selection. The adaptive backpropagation neural network (ABPNN-ANFIS) is then classified using fuzzy logic. Fuzzy logic may be used to combine the ABPNN findings. Consequently, these techniques can aid experts in determining the stage of chronic renal disease. The Adaptive Neuron Clearing Inference System (ABPNN-ANFIS) was utilised to develop adaptive inverse neural networks using the MATLAB programme. The outcomes demonstrate that the suggested ABPNN-ANFIS is 98 % accurate in terms of efficiency.  2024</text>
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                <text>KR V.; Maharajan M.S.; K B.; Sivakumar N.</text>
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                <text>e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol-7</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.prime.2024.100463" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.prime.2024.100463&lt;/a&gt;
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                <text>ISSN: 27726711</text>
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                <text>KR V., Computer Science, Christ Deemed to be University, Karnataka, Bangalore, 560029, India; Maharajan M.S., Department of ECE, SRM Institute of Science and Technology, Chennai, Kattankulathur, India; K B., Electronics and Communication Engineering, Alva's Institute of Engineering and Technology, Mijar, Moodbidri, Karnataka, 74225, India; Sivakumar N., Artificial Intelligence &amp;amp; Data Science, Panimalar Engineering College, Tamilnadu, Chennai, 600123, India</text>
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                <text>Precise surface molecular engineering of 2D-Bi2S3 enables the ultrasensitive simultaneous detection of dopamine, epinephrine, serotonin and uric acid</text>
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                <text>2D materials; Biosensor; Dopamine; Electrochemical; Epinephrine; Serotonin; Surface engineering; Uric acid</text>
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                <text>Multiple biomolecule detection at a single read is an emerging and highly desirable technology in point-of-care diagnostics. Thus, functional nanoscale materials with high precision and stability at an affordable cost are required to fabricate adaptable multiplex biosensing devices with exceptional performance. Herein, an ultrasensitive molecularly engineered 2D-Bi2S3 biosensor is developed via a two-step synthetic approach. Simultaneous detection of dopamine (DA), epinephrine (EP), serotonin (ST), and uric acid (UA) is achieved at the nanomolar level. The surface molecular engineered 2D-Bi2S3 by 4-mercaptobenzoic acid (MBA) exhibits a well crystalline nature and consists of 36 stacked layers with creased-paper-like morphology after an MBA molecule has been precisely linked at the basal plane of Bi2S3. Bi2S3-MBA's surface/vibrational spectroscopic and scanning tunneling microscopic studies demonstrate the Bi2S3-MBA electronic nature and the linked molecule present on the Bi2S3 surface with a comparatively large random distribution of MBA molecules at the basal plane than the edge plane. The density functional theory (DFT) calculation verifies the proposed molecular interaction mechanism. The success of this unique surface molecular engineering strategy, which effectively modified the electronic and surface configuration of the 2D-Bi2S3, offers an exciting possibility for building different variants of the versatile biosensor for real-world diagnostic device applications.  2024</text>
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                <text>Suriyaprakash J.; Thangavelu I.; Huang Y.; Hu Z.; Wang H.; Zhan Y.; Wu L.; Shan L.</text>
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                <text>Surfaces and Interfaces, Vol-46</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.surfin.2024.104021" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.surfin.2024.104021&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&amp;amp;doi=10.1016%2Fj.surfin.2024.104021&amp;amp;partnerID=40&amp;amp;md5=7bfc79ca43fb3260ed817ddfef1d9e99" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&amp;amp;doi=10.1016%2fj.surfin.2024.104021&amp;amp;partnerID=40&amp;amp;md5=7bfc79ca43fb3260ed817ddfef1d9e99&lt;/a&gt;</text>
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                <text>ISSN: 24680230</text>
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                <text>Suriyaprakash J., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Huang Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Hu Z., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wang H., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhan Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wu L., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Shan L., School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, China</text>
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                <text>Drivers of Rural Non-farm Sector Employment in India, 19832019</text>
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                <text>India; Job analysis; rural and regional economics; urban; youth work</text>
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                <text>Using the national-level employment and unemployment surveys (NSS and PLFS) and the macro-level data for the period 20052019, this article explores the trends and recent growth patterns of rural non-farm sector employment in India. It also examines the micro-level factors determining individuals preference towards non-farm sector jobs and the macro-level factors responsible for the growth of non-farm sector employment in rural India. The main findings of the study suggest that although rural non-farm sector employment is rising in absolute terms, its growth rate has slackened in recent years. While the level of education and skill training, market wage rates and socio-cultural setups are among the key micro-level factors determining farmnon-farm employment choices of rural folks, at the macro-level, the growth of investment in capital goods, the number of factories, investment in infrastructure development and the growth of the manufacturing sector are crucial for the growth of non-farm sector jobs in India. Based on these findings, it is argued that the improvement of human capabilities through increased investment in education and skill, and the growth of non-farm sector employment through the development of rural infrastructure and industrialization measures, are necessary to sustain the structural transformation and to harness the demographic dividend in India. JEL Codes: J01, J21, J43, J64  2024 Research and Information System for Developing Countries &amp;amp; Institute of Policy Studies of Sri Lanka.</text>
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                <text>Pattayat S.S.; Parida J.K.</text>
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              <elementText elementTextId="82565">
                <text>South Asia Economic Journal, Vol-25, No. 1, pp. 45-73.</text>
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              <elementText elementTextId="82566">
                <text>Sage Publications India Pvt. Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1177/13915614231221649" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/13915614231221649&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186572797&amp;amp;doi=10.1177%2F13915614231221649&amp;amp;partnerID=40&amp;amp;md5=3aa8ceb98d55a4e59e025973f20dd9c9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186572797&amp;amp;doi=10.1177%2f13915614231221649&amp;amp;partnerID=40&amp;amp;md5=3aa8ceb98d55a4e59e025973f20dd9c9&lt;/a&gt;</text>
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              <elementText elementTextId="82569">
                <text>Restricted Access</text>
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                <text>ISSN: 13915614</text>
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                <text>Pattayat S.S., Department of Economics, Christ University (YPR), Karnataka, Bangalore, India; Parida J.K., School of Economics, University of Hyderabad, Telangana, India</text>
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                <text>Rationally designed CeO2 decorated Ti3C2 MXene interface for efficient water splitting and enhanced supercapacitor performance</text>
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            <name>Subject</name>
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              <elementText elementTextId="82576">
                <text>CeO&lt;sub&gt;2&lt;/sub&gt;; Energy; MXene; Supercapacitor; Water splitting</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
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              <elementText elementTextId="82577">
                <text>MXenes serve as competent electrodes for applications such as energy storage and conversion owing to their unique characteristics, which include substantial surface area, excellent conductivity, abundant surface-terminating groups, and high hydrophilicity. However, MXene nanosheets exhibit a pronounced tendency to restack via Van der Waals force, hindering the active sites and resulting in sluggish electronic and ionic kinetics. This phenomenon limits the capabilities, processability, and overall performance of MXene. In this study, CeO2 is utilized as an interlayer spacer for the Ti3C2 MXene substrate, providing a promising noble metal-free multifunctional electrode. The Ti3C2/CeO2 composite, synthesized via the hydrothermal method, efficiently mitigates restacking while exhibiting excellent conductivity, substantial surface area, and enhanced kinetics. The as-synthesized catalysts undergo diverse physiochemical characterizations and electrochemical measurements to understand their properties and potential multiapplications. The fabricated electrode material, Ti3C2/CeO2, shows excellent specific capacitance of 1908.5 Fg?1 at 1 Ag?1 in a three-electrode setup using 3 M KOH as electrolyte. It has a capacitive retention of 91% even after 4000 cycles. Besides, Ti3C2/CeO2 also functions as a proficient electrode material for overall water splitting, having a lower overpotential of 178 mV and 350 mV for hydrogen and oxygen evolution reactions, respectively, at a current density of 10 mAcm?2. It also displays a lower cell voltage of 1.78 V to obtain a current density of 10 mAcm?2. This study introduces the multi applications of a well-designed interface between Ti3C2 layers and CeO2 within the realm of electrochemical energy storage and conversion.  2024 Elsevier B.V.</text>
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              <elementText elementTextId="82578">
                <text>Mathew S.; Devi K R S.</text>
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              <elementText elementTextId="82579">
                <text>Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-684</text>
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              <elementText elementTextId="82580">
                <text>Elsevier B.V.</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.colsurfa.2024.133170" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.colsurfa.2024.133170&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182886128&amp;amp;doi=10.1016%2Fj.colsurfa.2024.133170&amp;amp;partnerID=40&amp;amp;md5=bce776041fa8d4da2357721dfc463006" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182886128&amp;amp;doi=10.1016%2fj.colsurfa.2024.133170&amp;amp;partnerID=40&amp;amp;md5=bce776041fa8d4da2357721dfc463006&lt;/a&gt;</text>
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              <elementText elementTextId="82583">
                <text>Restricted Access</text>
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                <text>ISSN: 9277757; CODEN: CPEAE</text>
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              <elementText elementTextId="82586">
                <text>English</text>
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                <text>Mathew S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Devi K R S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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  <item itemId="13262" public="1" featured="0">
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82589">
                <text>A computational approach for the generalised GenesioTesi systems using a novel fractional operator</text>
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              <elementText elementTextId="82590">
                <text>02.30.Hq; 02.60.Cb; 98.80.Cq; caputo fractional derivative; fractional order; GenesioTesi system; lyapunov stability; numerical method</text>
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                <text>This article presents the novel fractional-order GenesioTesi system, along with discussions of its boundedness, stability of the equilibrium points, Lyapunov stability, uniqueness of the solution and bifurcation. The efficient predictorcorrector approach is employed to quantitatively analyse the GenesioTesi system in fractional order. The findings enable conceptualisation and visualisation of the presented novel fractional-order GenesioTesi systems. The modified systems are proposed for future study on chaos control and applying the same for secure communication. Bifurcation analysis is carried out to see the variation in the systems behaviour from stability to chaos. The results of the bifurcation analysis support the results obtained for the stability of the equilibrium points. The system behaves chaotically since all the equilibrium points are unstable. The findings demonstrate a torus attractor for some of the suggested systems and a chaotic attractor for some of the novel fractional-order GenesioTesi systems. The systems torus attractor changes into a steady state when the order is reduced from integer to fractional. Changing the parameter values for one of the modified systems also shifts the systems behaviour, with the point attractor replacing the torus attractor. The point attractor of one of the systems changes into a steady character when the systems order is reduced from integer to fractional. The behaviour for one modified system is the same for fractional and integer orders. This discovery paves the way for the future study of the modified GenesioTesi system. This article gives a new direction to utilise these proposed GenesioTesi systems and study them extensively. The chaotic behaviour of the modified system can be used for secure communication. The synchronisation and chaos control of the modified system is recommended.  2024, Indian Academy of Sciences.</text>
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            <elementTextContainer>
              <elementText elementTextId="82592">
                <text>Deepika S.; Ranganathan H.B.; Veeresha P.</text>
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            <elementTextContainer>
              <elementText elementTextId="82593">
                <text>Pramana - Journal of Physics, Vol-98, No. 1</text>
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              <elementText elementTextId="82594">
                <text>Springer</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s12043-023-02706-x" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s12043-023-02706-x&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183673656&amp;amp;doi=10.1007%2Fs12043-023-02706-x&amp;amp;partnerID=40&amp;amp;md5=7f33546ff91245cf88c416a3eb5eb3ad" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183673656&amp;amp;doi=10.1007%2fs12043-023-02706-x&amp;amp;partnerID=40&amp;amp;md5=7f33546ff91245cf88c416a3eb5eb3ad&lt;/a&gt;</text>
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                <text>ISSN: 3044289; CODEN: PRAMC</text>
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                <text>Deepika S., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Ranganathan H.B., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Centre for Mathematical Needs, Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India</text>
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                <text>Innovation and Progress: An Insight into the Indian Business Start- Ups and the Promotion of Scientific Temper for Socio-Economic Advancement</text>
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              <elementText elementTextId="82604">
                <text>Academics; Business; development; Ecosystem; India; Innovation; laws; policies; Progress; Science; Scientific temper; Socio-economic; Start-Ups</text>
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                <text>The Constitution of India through its 42nd Amendment of 1976, incorporated scientific temper' as one of the Fundamental Duties to every Indian citizen under Article 51 A (h). The first Prime Minister of India, Pandit Jawahar Lal Nehru mentions this term in his book Discovery of India where he characterized scientific temper as a mind-set to change or alter one's intuition in the light of evidences and not to accept anything which appears to be irrational or without proof. Our country has consistently put forth attempts to concede to the scientific temper, time and again and emphasised its significance. In 2013, the Science, Technology, and Innovation policy, developed by the Government of India pushed on the advancement of scientific temper amongst every citizen. However, it needs to go quite far to appropriately show this temperament while fostering the resolutions for achieving socio-economic goals of the country. Presently, it has been noticed that business ventures are intensely reliant uponscientific temper and this will be ultimately essential for the entrepreneurs to succeed. Thus, small and micro undertakings backed by competitive and state of the art technology will be the foundation for greater enterprises in the country, resulting in economic boom. All future businesses will be driven by science and technology and hence, it is called for addition of new avenues and enterprises, with changing time and further with scientific temper as its major ingredient. Start-ups can be considered as one such innovation that has been leading businesses growing by leaps and bounds. In India, the last decade emerged with great start-ups like CRED, Meesho, Swiggy, Zomato, Delhivery, Oyo and many more, making itself one of the most important start-up hubs in Asia and perhaps even in the world. The scientific temper in start-ups can further do wonders to Indias socioeconomic growth in the long run. Hence, in this paper, the authors shall make an attempt to bring out the essence of scientific temper in bringing forth the technologically advanced start-ups in India and its capacity to form the basis of India's future in the global market, in terms of both technological advancements and entrepreneurship. The paper will also highlight the hindrances to its growth and suggest measures in contributing to the growth of start-up ecosystem in India.  2024, Department of Law, University of North Bengal. All rights reserved.</text>
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              <elementText elementTextId="82606">
                <text>Rakshit S.; Moitra S.</text>
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            <elementTextContainer>
              <elementText elementTextId="82607">
                <text>Indian Journal of Law and Justice, Vol-15, No. 1, pp. 377-399.</text>
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              <elementText elementTextId="82608">
                <text>Department of Law, University of North Bengal</text>
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                <text>2024-01-01</text>
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              <elementText elementTextId="82610">
                <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-s2.0-85203261241&amp;amp;partnerID=40&amp;amp;md5=cf33212ffa3943a325f66f66d87120f9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203261241&amp;amp;partnerID=40&amp;amp;md5=cf33212ffa3943a325f66f66d87120f9&lt;/a&gt;</text>
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              <elementText elementTextId="82612">
                <text>ISSN: 9763570</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <elementTextContainer>
              <elementText elementTextId="82616">
                <text>Rakshit S., School of Law, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Moitra S., Department of Law, University of North Bengal, West Bengal, Darjeeling, India</text>
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      <name>Article</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82617">
                <text>Patriarchy and Wifehood: A Feminist Reading of One Part Woman and Singarevva and the Palace</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="82618">
                <text>Marriage is a socially approved relationship between a man and a woman that binds each other into a permanent, official relation of husband and wife. In a patriarchal culture, the husbands personify dominance and liberty, whereas the wives are expected to be the epitome of fidelity, fecundity and chastity. In the Indian context, the intense devotion of wives towards their husbands defines married women as pativratas. The present study intends to analyze the various aspects that contribute to and shape the formation of the identity of a wife in a marital space through Ponna and Singarevva, the female protagonists of the novels One Part Woman and Singarevva and the Palace, respectively. The paper demonstrates how these female protagonists identity as wives gets suppressed over a period of time and how they succeed in reconstructing their identities, sailing against all odds stacked against them. The paper views these issues through the feminist theoretical lens.  2024 IUP. All Rights Reserved.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
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            <elementTextContainer>
              <elementText elementTextId="82619">
                <text>Divya R.; Sharmila N.</text>
              </elementText>
            </elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="82620">
                <text>IUP Journal of English Studies, Vol-19, No. 1, pp. 51-66.</text>
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            </elementTextContainer>
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              <elementText elementTextId="82621">
                <text>IUP Publications</text>
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              <elementText elementTextId="82622">
                <text>2024-01-01</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-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d&lt;/a&gt;</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="82624">
                <text>Restricted Access</text>
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            <elementTextContainer>
              <elementText elementTextId="82625">
                <text>ISSN: 9733728</text>
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            </elementTextContainer>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82626">
                <text>Online</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="82627">
                <text>English</text>
              </elementText>
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          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82628">
                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="82629">
                <text>Divya R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sharmila N., CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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  <item itemId="13265" public="1" featured="0">
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              <name>Title</name>
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                <elementText elementTextId="64">
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82630">
                <text>An ensemble deep learning model for automatic classification of cotton leaves diseases</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82631">
                <text>Classification; Convolutional neural network; Ensemble model; Hyperparameter tuning; Machine learning</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="82632">
                <text>Cotton plant (Gossypium herbaceum), is one of the significant fiber crop grown worldwide. However, the crop is quite prone to leaves diseases, for which deep learning (DL) techniques can be utilized for early disease prediction and prevent stakeholders from losing the harvest. The objective of this paper is to develop a novel ensemble based deep convolutional neural network (DCNN) model developed on two base pretrained models named: VGG16 and InceptionV3 for early detection of cotton leaves diseases. The proposed ensemble model trained on cotton leaves dataset reports higher training and testing prediction accuracies as compared to the base pretrained models. Given that, deep learning architectures have hyper-parameters, this paper presents exhaustive experimental evaluations on ensemble model to tune hyper-parameters named learning rate, optimizer and no of epochs. The suggested hyper-parameter settings can be directly utilized while employing the ensemble model for cotton plant leaves disease detection and prediction. With suggested hyper-parameters settings of learning rate 0.0001, 20 epochs and stochastic gradient descent (SGD) optimizer, ensemble model reported training and testing accuracies of 98% and 95% respectively, which was higher than the training and testing accuracies of VGG16 and InceptionV3 pretrained DCNN models.  2024 Institute of Advanced Engineering and Science. All rights reserved.</text>
              </elementText>
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          <element elementId="39">
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82633">
                <text>Kukadiya H.; Arora N.; Meva D.; Srivastava S.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="82634">
                <text>Indonesian Journal of Electrical Engineering and Computer Science, Vol-33, No. 3, pp. 1942-1949.</text>
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            </elementTextContainer>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="82635">
                <text>Institute of Advanced Engineering and Science</text>
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          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82636">
                <text>2024-01-01</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="82637">
                <text>&lt;a href="https://doi.org/10.11591/ijeecs.v33.i3.pp1942-1949" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijeecs.v33.i3.pp1942-1949&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185585750&amp;amp;doi=10.11591%2Fijeecs.v33.i3.pp1942-1949&amp;amp;partnerID=40&amp;amp;md5=69791800f23c19717224e468349a1fbc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185585750&amp;amp;doi=10.11591%2fijeecs.v33.i3.pp1942-1949&amp;amp;partnerID=40&amp;amp;md5=69791800f23c19717224e468349a1fbc&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82638">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="82639">
                <text>ISSN: 25024752</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82640">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82641">
                <text>English</text>
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            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="82642">
                <text>Article</text>
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            </elementTextContainer>
          </element>
          <element elementId="38">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="82643">
                <text>Kukadiya H., Department of Computer Application, Marwadi University, Rajkot, India; Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India; Meva D., Department of Computer Application, Marwadi University, Rajkot, India; Srivastava S., School of Sciences, Christ (Deemed to be University), Delhi NCR, India</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="13266" public="1" featured="0">
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                <text>Post-operative brain magnetic resonance imaging (MRI) segmentation is inherently challenging due to the diverse patterns in brain tissue, which makes it difficult to accurately identify resected areas. Therefore, there is a crucial need for a precise segmentation model. Due to the scarcity of post-operative brain MRI scans, it is not feasible to use complex models that require a large amount of training data. This paper introduces an innovative approach for accurately segmenting and quantifying post-operative brain resection cavities in MRI scans. The proposed model, named Attention-Enhanced VGG-U-Net, integrates VGG16 initial weights in the encoder section and incorporates a self-attention module in the decoder, offering improved accuracy for postoperative brain MRI segmentation. The attention mechanism enhances its accuracy by concentrating on a specific area of interest. The VGG16 model is comparatively lightweight, has pre-trained weights, and allows the model to extract incredibly detailed information from the input. The model is trained on publicly available post-operative brain MRI data and achieved a Dice coefficient value of 0.893. The model is then assessed using a clinical dataset of postoperative brain MRIs. The model facilitates the quantification of the resected regions and enables comparisons with each brain region based on pre-operative images. The capabilities of the model assist radiologists in evaluating surgical success and directing follow-up procedures.  2024 by the authors of this article.</text>
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                <text>International journal of online and biomedical engineering, Vol-20, No. 5, pp. 133-149.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Xavier P.S., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Platinum decorated phosphorous doped graphitic carbon nitride supported molecularly imprinted carbon fibre electrode as a nano-interface for the detection of butylated hydroxy anisole</text>
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                <text>BHA; Conducting polymer; Electrochemical sensor; MIP; PgCN; Pt NPs</text>
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                <text>This research generated an electrochemical sensor using a carbon fibre (CFP) paper electrode coated using platinum-decorated phosphorous doped graphitic carbon nitride (Pt/PgCN). This sensor was designed to detect butylated hydroxy anisole (BHA) selectively and sensitively. The molecularly imprinted polymers (MIPs) were synthesized onto the Pt/PgCN coated CFP surface through electropolymerization using BHA as a template and 3-thiophene acetic acid as monomer. Numerous analytical methods were used to characterise the sensor electrode, including cyclic voltammetry, impedance spectroscopy, and electron microscopy. The results showed that the synergetic effect of PgCN, Pt nanoparticles, and PTAA, PgCN and Pt had a positive impact on the electrochemical detection, the sensor's linear range was determined to be between 5 10?10 M and 2.1 10?7 M. The sensor demonstrated excellent stability, good reproducibility, and high selectivity for detecting BHA. Moreover, the proposed sensor successfully detected BHA in real samples.  2024 Elsevier Ltd</text>
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                <text>Materials Today Chemistry, Vol-36</text>
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                <text>ISSN: 24685194</text>
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                <text>George A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Keerthana P., 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</text>
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                <text>Commercialization potential of PET (polyethylene terephthalate) recycled nanomaterials: A review on validation parameters</text>
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          <element elementId="49">
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              <elementText elementTextId="82673">
                <text>Circular economy; Growth drivers; Nanomaterials; PET commercialization; Safety considerations; Scale-up and manufacturing challenges</text>
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                <text>Polyethylene Terephthalate (PET) is a polymer which is considered as one of the major contaminants to the environment. The PET waste materials can be recycled to produce value-added products. PET can be converted to nanoparticles, nanofibers, nanocomposites, and nano coatings. To extend the applications of PET nanomaterials, understanding its commercialization potential is important. In addition, knowledge about the factors affecting recycling of PET based nanomaterials is essential. The presented review is focused on understanding the PET commercialization aspects, keeping in mind market analysis, growth drivers, regulatory affairs, safety considerations, issues associated with scale-up, manufacturing challenges, economic viability, and cost-effectiveness. In addition, the paper elaborates the challenges associated with the use of PET based nanomaterials. These challenges include PET contamination to water, soil, sediments, and human exposure to PET nanomaterials. Moreover, the paper discusses in detail about the factors affecting PET recycling, commercialization, and circular economy with specific emphasis on life cycle assessment (LCA) of PET recycled nanomaterials. 2024 Elsevier Ltd</text>
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                <text>Kumar V.; Sharma N.; Umesh M.; Sharma R.; Sharma M.; Sharma D.; Sondhi S.; Thomas J.; Kumar D.; Kansal L.; Jha N.K.</text>
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                <text>Chemosphere, Vol-352</text>
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                <text>ISSN: 456535; CODEN: CMSHA | LS; 2023-2024; Vol-2; 0232-0250</text>
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                <text>Kumar V., Bioconversion and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sharma R., Department of Biotechnology, Chandigarh College of Technology, Chandigarh Group of Colleges, Landran, Punjab, Mohali, 140307, India; Sharma M., Department of Plant Sciences, Central University of Himachal Pradesh, Shahpur Campus, Himachal Pradesh, Kangra, 176206, India; Sharma D., Department of Biotechnology, Chandigarh College of Technology, Chandigarh Group of Colleges, Landran, Punjab, Mohali, 140307, India; Sondhi S., Haryana State Pollution Control Board, C-11, Haryana, Panchkula, India; Thomas J., Department of Biotechnology, Mar Athanasius College, Kerala, India; Kumar D., Department of Biotechnology-UIBT, Chandigarh University, Punjab, India; Kansal L., School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, India; Jha N.K., Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India, Centre for Research Impact and Outcomes, Chitkara University, Punjab, Rajpura, India, Department of Biotechnology, School of Applied &amp;amp; Life Sciences (SALS), Uttaranchal University, Dehradun, 248007, India</text>
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                <text>Purpose: This study integrated the knowledge-attitude-behavior (KAB) model and the theory of planned behavior (TPB) to analyze how elements of electronic word of mouth (eWOM)argument quality (AQ) and source credibility (CR)influenced customers green cosmetics behavioral intention (BI). Methodology: Data were collected from a sample of 350 customers through an online survey, and a two-stage process was used to evaluate the research model. In the first stage, linear associations between the various elements of the theoretical model were determined using structural equation modeling (SEM). The second stage involved evaluating the predicting efficacy of the constructs, using an artificial neural network (ANN) framework. Findings: The findings of the multi-analytical study revealed that attitude (Atd), perceived behavioral control (Pbcon), and source credibility (CR) influenced consumers intentions to buy green cosmetics. Moreover, the sources credibility (CR) and the arguments quality (AQ) also positively influenced consumer attitude (Atd). The models appeared to have acceptable prediction accuracy based on the ANN studys root mean square of error (RMSE) values. Originality: The study contributed to the body of green cosmetics literature by integrating knowledge-attitude-behavior (KAB) and planned behavior (TPB) theory. The novelty of this research also lies in examining the moderating effect of perceived innovativeness (PI) for developing a robust predictive framework for green cosmetics purchase intention using artificial neural networks (ANN).  2024, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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            <elementTextContainer>
              <elementText elementTextId="82689">
                <text>Mathur S.; Vishnoi S.Kr.; Bagga T.; Mittal A.; Mittal A.</text>
              </elementText>
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              <elementText elementTextId="82690">
                <text>Prabandhan: Indian Journal of Management, Vol-17, No. 3, pp. 26-47.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="82691">
                <text>Associated Management Consultants Pvt. Ltd.</text>
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              <elementText elementTextId="82692">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.17010/pijom/2024/v17i3/173364" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.17010/pijom/2024/v17i3/173364&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189019976&amp;amp;doi=10.17010%2Fpijom%2F2024%2Fv17i3%2F173364&amp;amp;partnerID=40&amp;amp;md5=55f49dfa809b26d211443d22262014c4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189019976&amp;amp;doi=10.17010%2fpijom%2f2024%2fv17i3%2f173364&amp;amp;partnerID=40&amp;amp;md5=55f49dfa809b26d211443d22262014c4&lt;/a&gt;</text>
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              <elementText elementTextId="82694">
                <text>Restricted Access</text>
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            </elementTextContainer>
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                <text>ISSN: 9752854</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="82696">
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              <elementText elementTextId="82697">
                <text>English</text>
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                <text>Article</text>
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            <elementTextContainer>
              <elementText elementTextId="82699">
                <text>Mathur S., CHRIST (Deemed to be University) Delhi NCR, Nandgram Road, Marium Nagar Sewa Nagar, Uttar Pradesh, Ghaziabad, India; Vishnoi S.Kr., Institute of Management Studies, Grand Trunk Rd, Industrial Area, Lal Kuan, Uttar Pradesh, Ghaziabad, 201 009, India; Bagga T., Department of Management Studies, FMS, Jamia Millia Islamia, Jamia Nagar, Okhla, Delhi, New Delhi, 110 025, India; Mittal A., Dept. of Economics, Hansraj College, University of Delhi, Mahatma Hans Raj Marg, Malka Ganj, North Campus, Delhi, 110 007, India; Mittal A., Dept. of Commerce, Hansraj College, University of Delhi, Mahatma Hans Raj Marg, Malka Ganj, North Campus, Delhi, 110 007, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82700">
                <text>Determinants of renewable stock returns: The role of global supply chain pressure</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82701">
                <text>Climate policy uncertainty; crude oil prices; Global economic activity; Global supply chain pressure; renewable energy stocks</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="82702">
                <text>This study investigates the determinants of the global renewable stocks index returns from November 2003 to August 2022. The explanatory variables include global supply chain pressure measures, climate policy uncertainty, global economic activity, and crude oil prices. The long-run panel dynamic Autoregressive Distributed Lag estimations show that the global supply chain pressure, climate policy uncertainty, and global economic activity redound renewable stock returns. These results are robust enough to utilise different long-run estimation techniques. Potential policy implications are also discussed.  2023 The Authors</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82703">
                <text>Hu G.; Gozgor G.; Lu Z.; Mahalik M.K.; Pal S.</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="82704">
                <text>Renewable and Sustainable Energy Reviews, Vol-191</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="82705">
                <text>Elsevier Ltd</text>
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            </elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="82706">
                <text>2024-01-01</text>
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            </elementTextContainer>
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            <name>Identifier</name>
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                <text>&lt;a href="https://doi.org/10.1016/j.rser.2023.114182" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.rser.2023.114182&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179888809&amp;amp;doi=10.1016%2Fj.rser.2023.114182&amp;amp;partnerID=40&amp;amp;md5=6692a564989c54a016ada078af439f98" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179888809&amp;amp;doi=10.1016%2fj.rser.2023.114182&amp;amp;partnerID=40&amp;amp;md5=6692a564989c54a016ada078af439f98&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82708">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
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              <elementText elementTextId="82709">
                <text>ISSN: 13640321; CODEN: RSERF</text>
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            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82710">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82711">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="82712">
                <text>Article</text>
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            </elementTextContainer>
          </element>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="82713">
                <text>Hu G., School of Business, Henan Normal University, Xinxiang, China, School of Digital Commerce, Zhejiang Yuexiu University, Shaoxing, China; Gozgor G., School of Management, University of Bradford, Bradford, United Kingdom, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon, Faculty of Political Sciences, Istanbul Medeniyet University, Istanbul, Turkey; Lu Z., School of Management, Qingdao City University, Qingdao, China; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, India, School of Business and Management, Christ University (Deemed to be University), Karnataka, Bangaluru, 560029, India</text>
              </elementText>
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  <item itemId="13271" public="1" featured="0">
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      <name>Article</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82714">
                <text>Nutritional, biochemical and antioxidant activities of edible and non-edible parts of Punica granatum L.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82715">
                <text>antioxidative properties; nutritional; phytochemical; Punica granatum L</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82716">
                <text>In the present study, the nutritional profiling and antioxidant analysis of the different parts of Punica granatum was done. In the nutritional profiling, different percentages of moisture content was found in the flower (9.63%), leaf (9.17%), peel (5.34%), root (8.08%), stem (4.09%) and fruit (3.54%). Ash content was recorded higher in the stem (30%/g) followed by root, leaf, flower, fruit and peel. Also, the major and minor elements like nitrogen, potassium, calcium, phosphorus, magnesium, sulphur, zinc, copper, manganese and iron were analysed in different parts of P. granatum. The fruit recorded the highest amount of nitrogen (5.710.01%) and phosphorus (5.710.01%) whereas peel was recorded with more potassium (0.990.01%). The phytochemical quantification showed the major content of carbohydrates in the flower (317.96 mg/g) and leaf (315.62 mg/g). The protein was recorded higher in fruit (69 mg/g) and proline in root (19.54 mg/g). The TPC was recorded more in the peel (240.72 g/g) followed by the flower (223.05 g/g). P. granatum peel was recorded with maximum flavonoid content (873.13 g/g) and had a higher antioxidative response in comparison to other plant parts of P. granatum. 2024, Indian journals. All rights reserved.</text>
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          <element elementId="39">
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            <elementTextContainer>
              <elementText elementTextId="82717">
                <text>Chole P.B.; Manjunath B.T.</text>
              </elementText>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="82718">
                <text>Medicinal Plants, Vol-16, No. 1, pp. 182-190.</text>
              </elementText>
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          <element elementId="45">
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="82719">
                <text>Indian journals</text>
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            <elementTextContainer>
              <elementText elementTextId="82720">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.5958/0975-6892.2024.00020.0" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.5958/0975-6892.2024.00020.0&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188288833&amp;amp;doi=10.5958%2F0975-6892.2024.00020.0&amp;amp;partnerID=40&amp;amp;md5=e020cc68522825e6c7a53887c3289f10" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188288833&amp;amp;doi=10.5958%2f0975-6892.2024.00020.0&amp;amp;partnerID=40&amp;amp;md5=e020cc68522825e6c7a53887c3289f10&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82722">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <elementText elementTextId="82723">
                <text>ISSN: 9754261 | LS; 2023-2024; Vol-2; 0063-0073</text>
              </elementText>
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          </element>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="82724">
                <text>Online</text>
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              <elementText elementTextId="82725">
                <text>English</text>
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              <elementText elementTextId="82726">
                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="82727">
                <text>Chole P.B., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Manjunath B.T., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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            <element elementId="50">
              <name>Title</name>
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                <elementText elementTextId="64">
                  <text>Articles</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
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              <elementText elementTextId="82728">
                <text>CABiT Cabs  Radhikas Dilemma</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82729">
                <text>The focus of this case is the human resources management challenges faced by the Chief Human Resources Officer (CHRO) at CABiT Cabs. This case discusses the CHROs dilemma in resolving the challenges. CABiT Cabs operations and expansion are discussed to provide students an overview of the dynamics and challenges of the radio taxi business. In addition, this case explores the weakness in the CABiT business model and the challenges on the human resources front. The case extensively discusses the dynamics of a start-up and the pressures faced by the top management. Finally, the options available to the protagonist to address the challenges are discussed. The dilemma faced by the protagonist in her career front is also discussed in this case.  2024 by World Scientific Publishing Co. and Asia Academy of Management.</text>
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              <elementText elementTextId="82730">
                <text>Dsouza A.; Aranha R.; Saldanha A.; Rani J.</text>
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            <elementTextContainer>
              <elementText elementTextId="82731">
                <text>Asian Case Research Journal, Vol-28, No. 1, pp. 1-15.</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="82732">
                <text>World Scientific</text>
              </elementText>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82733">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1142/S0218927524500019" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0218927524500019&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189873504&amp;amp;doi=10.1142%2FS0218927524500019&amp;amp;partnerID=40&amp;amp;md5=c557dd58e395d73884251fe5c21c4dee" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189873504&amp;amp;doi=10.1142%2fS0218927524500019&amp;amp;partnerID=40&amp;amp;md5=c557dd58e395d73884251fe5c21c4dee&lt;/a&gt;</text>
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                <text>Dsouza A., School of Business &amp;amp; Management, Christ (Deemed to be University), Lavasa Campus, Maharashtra, Lavasa, India; Aranha R., School of Business &amp;amp; Management, Christ (Deemed to be University), Karnataka, Bangalore, India; Saldanha A., St. Josephs Institute of Management, Karnataka, Bangalore, India; Rani J., Department of Management, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, East Sikkim, 737136, India</text>
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                <text>On equitable near proper coloring of graphs</text>
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                <text>equitable coloring; equitable near proper coloring; Improper coloring; near proper coloring</text>
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                <text>A defective vertex coloring of a graph is a coloring in which some adjacent vertices may have the same color. An edge whose adjacent vertices have the same color is called a bad edge. A defective coloring of a graph G with minimum possible number of bad edges in G is known as a near proper coloring of G. In this paper, we introduce the notion of equitable near proper coloring of graphs and determine the minimum number of bad edges obtained from an equitable near proper coloring of some graph classes.  2024 Azarbaijan Shahid Madani University.</text>
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                <text>Jose S.; Samuel L.C.; Naduvath S.</text>
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                <text>Communications in Combinatorics and Optimization, Vol-9, No. 1, pp. 131-143.</text>
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                <text>Azarbaijan Shahid Madani University</text>
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                <text>&lt;a href="https://doi.org/10.22049/CCO.2022.27240.1218" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22049/CCO.2022.27240.1218&lt;/a&gt;
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                <text>ISSN: 25382128</text>
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                <text>Jose S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Samuel L.C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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          <element elementId="50">
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            <elementTextContainer>
              <elementText elementTextId="82755">
                <text>Mathematical modeling to investigate the influence of vaccination and booster doses on the spread of Omicron</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82756">
                <text>Basic reproduction number; Omicron; Predictor corrector method; Stability; Vaccination</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
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            <elementTextContainer>
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                <text>The emergence of new variants, such as Omicron, has raised concerns regarding the transmission dynamics of COVID-19 and the effectiveness of vaccination strategies. This paper proposes a mathematical model to investigate the impact of vaccination and booster doses on Omicron transmission dynamics, considering various infection compartments. The model incorporates multiple compartments representing different stages of infection, including susceptible individuals, vaccinated individuals, boosted individuals, and those infected with Omicron. The infection dynamics are captured by parameters such as vaccine efficacy, vaccination with booster received efficacy, and infection rate. Using mathematical analysis and numerical simulations, we explore how different vaccination and booster strategies affect the spread of Omicron. The normalized sensitivity analysis method of R0 is investigated to understand the importance of parameters in disease transmission. Furthermore, we assess the influence of infection compartments, such as asymptomatic and symptomatic cases, on overall transmission dynamics.  2023 Elsevier B.V.</text>
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            <elementTextContainer>
              <elementText elementTextId="82758">
                <text>Kavya K.N.; Veeresha P.; Baskonus H.M.; Alsulami M.</text>
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            <elementTextContainer>
              <elementText elementTextId="82759">
                <text>Communications in Nonlinear Science and Numerical Simulation, Vol-130</text>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="82760">
                <text>Elsevier B.V.</text>
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              <elementText elementTextId="82761">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.cnsns.2023.107755" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.cnsns.2023.107755&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178497716&amp;amp;doi=10.1016%2Fj.cnsns.2023.107755&amp;amp;partnerID=40&amp;amp;md5=fcc0d4e770f99827b6bd02ecf19307bb" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178497716&amp;amp;doi=10.1016%2fj.cnsns.2023.107755&amp;amp;partnerID=40&amp;amp;md5=fcc0d4e770f99827b6bd02ecf19307bb&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82763">
                <text>Restricted Access</text>
              </elementText>
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              <elementText elementTextId="82764">
                <text>ISSN: 10075704</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="82766">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="82767">
                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="82768">
                <text>Kavya K.N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Baskonus H.M., Department of Mathematics and Science Education, Faculty of Education, Harran University, Sanliurfa, Turkey; Alsulami M., Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82769">
                <text>Bounds on Sombor Index for Corona Products on R-Graphs</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82770">
                <text>compounds graph; graph operations; Sombor index; triangle parallel graphs</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
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                <text>Operations in the theory of graphs has a substantial influence in the analytical and factual dimensions of the domain. In the realm of chemical graph theory, topological descriptor serves as a comprehensive graph invariant linked with a specific molecular structure. The study on the Sombor index is initiated recently by Ivan Gutman. The triangle parallel graph comprises of the edges of subdivision graph along with the edges of the original graph. In this paper, we make use of combinatorial inequalities related with the vertices, edges and the neighborhood concepts as well as the other topological descriptors in the computations for the determination of bounds of Sombor index for certain corona products involving the triangle parallel graph.  2024 Azarbaijan Shahid Madani University.</text>
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              <elementText elementTextId="82772">
                <text>Sarkar I.; Nanjappa M.; Gutman I.</text>
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              <elementText elementTextId="82773">
                <text>Communications in Combinatorics and Optimization, Vol-9, No. 1, pp. 101-117.</text>
              </elementText>
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            <elementTextContainer>
              <elementText elementTextId="82774">
                <text>Azarbaijan Shahid Madani University</text>
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              <elementText elementTextId="82775">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.22049/cco.2022.27904.1391" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22049/cco.2022.27904.1391&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185515894&amp;amp;doi=10.22049%2Fcco.2022.27904.1391&amp;amp;partnerID=40&amp;amp;md5=c7c410d21df03d1f0744f71bb0678302" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185515894&amp;amp;doi=10.22049%2fcco.2022.27904.1391&amp;amp;partnerID=40&amp;amp;md5=c7c410d21df03d1f0744f71bb0678302&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82777">
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                <text>ISSN: 25382128</text>
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              <elementText elementTextId="82780">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="82781">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="82782">
                <text>Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Nanjappa M., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, 560074, India; Gutman I., Faculty of Science, University of Kragujevac, P.O.Box 60, Kragujevac, 34000, Serbia</text>
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