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                <text>Clonning and Characterization of An Exported Protein Present in the RD7 Region of Clinical Isolates of Mycobacterium Tuberculosis  </text>
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                <text>The bacterium Mycobacterium tuberculosis is responsible for causing the disease newlinetuberculosis in mammals, which is regarded as one of the oldest diseases haunting the human race. The only available tuberculosis vaccine Bacillus Calmette-Guerine (BCG), is effective against childhood tuberculosis but is regarded as having low efficacy in conferring protection in the case of tuberculosis in adults. A comparison of the M. tuberculosis H37Rv strain and clinical isolates from Kerala had earlier revealed that the clinical strains have a distinctive 4.5 kb genomic sequence that is lacking from the H37Rv strain in the RD7 region. The RD7 is a distinctive genomic region that is absent in M. tuberculosis H37Rv and Mycobacterium bovis BCG strain. The 4.5 kb genomic sequence is projected to include 6 potential ORFs by newlineNCBI ORF prediction tool, one of which Novel Hypothetical Protein (NHP2) is anticipated to encode an exported protein with a length of 268 amino acids. Studies demonstrate that Mycobacterium tuberculosis secretory proteins such as the Ag85 complex, the ESAT-6 family protein, and the PE-PPE family proteins were newlineeffective vaccine candidates because they trigger T cells. Here, we present an indepth analysis of the exported protein, which is 268 amino acids long. The putative exported protein with a gene 807 bp long was PCR amplified and cloned in the expression vector pET-32a for expression. The protein was over expressed using Isopropyl D-1-thiogalactopyranoside (IPTG) and was isolated and purified using column chromatography. Bioinformatics studies were conducted to study the characteristics of the expressed protein. A novel putative mycobacterial protein discovered by subtractive hybridization was studied for its potential as a vaccine candidate using cutting-edge computer technologies.</text>
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                <text>S, Suma.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/551690" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/551690&lt;/a&gt;</text>
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                <text>Machining Characteristics Evaluation of Al7075TiB2 In Situ Composite Using Abrasive Water Jet Machining with Varied Test Parameters</text>
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                <text>The study delves into the abrasive water jet (AWJ) cutting of an Al7075TiB2 metal matrix composite that was synthesized in situ. The primary goal is to investigate how variations in three key process parameters, namely, stand-off distance (SOD) ranging from 0.5 to 2.5mm, abrasive flow rate (100 to 300gmin), and traverse speed (100 to 500mmmin), affect three critical performance metrics: volumetric material removal rate (VMRR), dimensional accuracy, and surface roughness (SR). The study's findings were represented graphically, highlighting the relationships between these responses and the aforementioned process parameters. Scanning electron microscopy (SEM) was also used to examine the machined surfaces. It was discovered that increasing traverse speed resulted in significant increases in surface roughness, VMRR, and dimensional errors. An increase in the SOD, on the other hand, resulted in an increase in surface roughness, VMRR, and a decrease in dimensional accuracy. Furthermore, increasing the abrasive flow rate resulted in lower surface roughness and dimensional accuracy while achieving a higher VMRR.  2023, The Institution of Engineers (India).</text>
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                <text>Kavya J.T.; Keshavamurthy R.; Ravishankar M.K.; Pradeep Kumar G.S.</text>
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                <text>Journal of The Institution of Engineers (India): Series D</text>
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                <text>&lt;a href="https://doi.org/10.1007/s40033-023-00597-1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s40033-023-00597-1&lt;/a&gt;
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                <text>ISSN: 22502122</text>
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                <text>Kavya J.T., Department of Automobile Engineering, Dayananda Sagar College of Engineering, Bangalore, 560111, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, 560111, India; Ravishankar M.K., Department of Automobile Engineering, Malnad College of Engineering, Hassan, 573202, India; Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, Christ University, Bengaluru, 560074, India</text>
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                <text>Mathematical approach for impact of media awareness on measles disease</text>
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                <text>media awareness; predictor corrector method; SEIR model; stability</text>
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                <text>During the recent pandemic caused by COVID-19, media awareness played a crucial role in educating people about social distancing, wearing masks, quarantine, vaccination, and medication. Media awareness brought individual behavioral changes among the people, which in turn helped reduce the infection rate. Motivated by this, we have formulated a mathematical model introducing a media compartment to mitigate measles disease transmission. In this paper, the SEIR model is used to study measles disease in three cases: one with a delay in vaccination, the second with regular vaccination, and the third with the impact of media awareness on the spreading of measles disease. Further, the dynamical behavior of the models is studied in terms of positivity, boundedness, equilibrium, and basic reproduction number (BRN). The sensitivity analysis of the models is conducted, which verifies the importance of the BRN ((Formula presented.)) to be less than one for disease eradication. The numerical study confirms the impact of media awareness on exposed and infected populations.  2023 John Wiley &amp;amp; Sons Ltd.</text>
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                <text>Kavya K.N.; Veeresha P.</text>
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                <text>Mathematical Methods in the Applied Sciences, Vol-47, No. 1, pp. 120-146.</text>
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                <text>&lt;a href="https://doi.org/10.1002/mma.9645" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/mma.9645&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169667479&amp;amp;doi=10.1002%2Fmma.9645&amp;amp;partnerID=40&amp;amp;md5=0501516e1d49e269dab499766958794e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169667479&amp;amp;doi=10.1002%2fmma.9645&amp;amp;partnerID=40&amp;amp;md5=0501516e1d49e269dab499766958794e&lt;/a&gt;</text>
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                <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; Akinyemi L., Department of Mathematics, Lafayette College, Easton, PA, United States</text>
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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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                <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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                <text>High-affinity binding of celastrol to monomeric ?-synuclein mitigates invitro aggregation</text>
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                <text>aggregation; celastrol; Parkinsons disease; phytochemical; ?-Synuclein</text>
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                <text>?-Synuclein (?Syn) aggregation is associated with Parkinsons disease (PD). The region ?Syn36-42 acts as the nucleation 'master controller and ?Syn1-12 as a secondary nucleation site. They drive monomeric ?Syn to aggregation. Small molecules targeting these motifs are promising for disease-modifying therapy. Using computational techniques, we screened thirty phytochemicals for ?Syn binding. The top three compounds were experimentally validated for their binding affinity. Amongst them, celastrol showed high binding affinity. NMR analysis confirmed stable ?Syn-celastrol interactions involving several residues in the N-terminus and NAC regions but not in the C-terminal tail. Importantly, celastrol interacted extensively with the key motifs that drive ?Syn aggregation. Thioflavin-T assay indicated that celastrol reduced ?Syn aggregation. Thus, celastrol holds promise as a potent drug candidate for PD. Communicated by Ramaswamy H. Sarma.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Kavya R.; Aouti S.; Jos S.; Prasad T.K.; Kumuda K.N.; Unni S.; Padmanabhan B.; Kamariah N.; Padavattan S.; Mythri R.B.</text>
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                <text>Journal of Biomolecular Structure and Dynamics, Vol-41, No. 22, pp. 12703-12713.</text>
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                <text>Kavya R., Department of Biotechnology, Mount Carmel College, Autonomous, Karnataka, Bengaluru, India; Aouti S., Department of Biophysics, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Jos S., Department of Biophysics, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Prasad T.K., Centre for Chemical Biology &amp;amp; Therapeutics, Institute for Stem Cell Science and Regenerative Medicine, Karnataka, Bengaluru, India; Kumuda K.N., Department of Biotechnology, Mount Carmel College, Autonomous, Karnataka, Bengaluru, India, Department of Biosciences, School of science and technology, Nottingham Trent University, Clifton Campus, Clifton Ln, Clifton, Nottingham, NG11 8NS, United Kingdom; Unni S., Department of Biophysics, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India, European Molecular Biology Laboratory, EMBL, 71, Avenue des Martyrs, CS 90181, Cedex 9, Grenoble, 34042, France; Padmanabhan B., Department of Biophysics, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Kamariah N., Centre for Chemical Biology &amp;amp; Therapeutics, Institute for Stem Cell Science and Regenerative Medicine, Karnataka, Bengaluru, India; Padavattan S., Department of Biophysics, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Mythri R.B., Department of Biotechnology, Mount Carmel College, Autonomous, Karnataka, Bengaluru, India, Department of Psychology, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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                <text>Kavya J.T., Department of Automobile Engineering, Dayananda Sagar College of Engineering, Bangalore, 560111, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, 560111, India; Ravishankar M.K., Department of Automobile Engineering, Malnad College of Engineering, Hassan, 573202, India; Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, Christ University, Bengaluru, 560074, India</text>
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                <text>The study delves into the abrasive water jet (AWJ) cutting of an Al7075TiB2 metal matrix composite that was synthesized in situ. The primary goal is to investigate how variations in three key process parameters, namely, stand-off distance (SOD) ranging from 0.5 to 2.5 mm, abrasive flow rate (100 to 300 g min), and traverse speed (100 to 500 mm min), affect three critical performance metrics: volumetric material removal rate (VMRR), dimensional accuracy, and surface roughness (SR). The studys findings were represented graphically, highlighting the relationships between these responses and the aforementioned process parameters. Scanning electron microscopy (SEM) was also used to examine the machined surfaces. It was discovered that increasing traverse speed resulted in significant increases in surface roughness, VMRR, and dimensional errors. An increase in the SOD, on the other hand, resulted in an increase in surface roughness, VMRR, and a decrease in dimensional accuracy. Furthermore, increasing the abrasive flow rate resulted in lower surface roughness and dimensional accuracy while achieving a higher VMRR.  The Institution of Engineers (India) 2023.</text>
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                <text>Kavya, K.M.; Almeida, Shaeril Michael</text>
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                <text>Structural Modelling of Homebuyer Behavior in The Residential Housing Market</text>
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                <text>Rapid urbanization has significantly increased the demand for residential housing, underscoring the need for real estate retailers to comprehend the factors that drive homebuyers' purchasing behavior. This study employs a Structural Equation Modelling (SEM) framework to examine the critical determinants of purchase intention within the residential real estate sector. Key constructs analyzed include housing attributes, financial and economic considerations, location and service quality, environmental concerns, brand image, and information sources. The SEM analysis elucidates the strength and significance of the relationships among these variables, providing a comprehensive understanding of consumer decision-making processes. The findings yield actionable insights for real estate practitioners, offering guidance for the development of targeted marketing strategies, enhanced customer engagement practices, and improved service delivery. By aligning their offerings with buyer expectations, real estate firms can foster stronger client relationships and enhance their competitive positioning in a dynamic housing market.  Authors.</text>
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                <text>The Impact of Environmental Attributes on Purchase Intention Towards Sustainable Housing</text>
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                <text>Studies in Big Data;Volume;178;pp.381-392</text>
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                <text>Kavya K.M., Christ (Deemed to be University), Bengaluru, India; Almeida S.M., Christ (Deemed to be University), Bengaluru, India</text>
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                <text>The increasing environmental issues have remoulded consumer behaviour, forcing a shift towards sustainable consumption in the real estate sector. Prior research has focused more on demographic factors and environmental awareness as the main factors for eco-friendly purchases. However, there still exist gaps in acknowledging how certain specific environmental attributes impact purchase intention and, more specifically, the mediating role of consumer attitude towards behaviour concerning real estate sector. This current study uses the Theory of Planned Behavior framework to examine the influence of environmental attributes on purchase intentions for sustainable housing. The analysis has been performed using IBM SPSS Statistic Version 30 and JMP software. The findings show a significant impact of environmental attributes on purchase intention, and the mediation effect of attitude towards behaviour also leaves a significant impact between environmental attributes and purchase intention. These findings will also help contribute to the literature on sustainable housing by linking environmental attributes with consumer behavioural theory.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>This study investigates the association between Brand Image, Attitude Toward Behaviour, and Purchase Intention within the Indian real estate sector. The research employs the Theory of Planned Behaviour (TPB) to examine the impact of brand image on purchase intention, with attitude toward behaviour serving as a mediating role. Data were gathered from 422 respondents. The collected data is inspected using Structural Equation Modeling (SEM hereafter) utilising JMP Software. The findings demonstrate that brand image has a substantial effect on purchase intention, both directly as well as indirectly, via attitude towards behaviour. The results emphasize the need to establish a robust brand image to cultivate favourable consumer perceptions and influence purchasing decisions, providing essential insights for real estate developers in a competitive landscape.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Kavya N.S., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru 560029, India; Mishra S.S., Department of Mathematics, School of CS &amp;amp; AI, SR University, Telangana, Warangal, 506371, India; Sahoo P.K., Department of Mathematics, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, 500078, India; Capozziello S., Dipartimento di Fisica E Pancini, Universitdegli Studi di Napoli Federico II, Complesso Universitario di Monte S. Angelo, Via Cinthia Edificio 6, Napoli, I-80126, Italy, Scuola Superiore Meridionale, Via Mezzocannone 4, Napoli, I-80134, Italy, Istituto Nazionale di Fisica Nucleare  Sezione di Napoli, Via Cinthia, Napoli, I-80126, Italy</text>
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                <text>The observed late-time acceleration of the Universe challenges our understanding of gravity and the quantum vacuum. We investigate the framework of Topological Dark Energy, where cosmic acceleration emerges not from a fundamental cosmological constant or exotic fields, but from the topological structure of quantum spacetime. In this picture, the vacuum is a dynamic spacetime foam in which gravitational instantons-non-perturbative configurations in Euclidean quantum gravity-nucleate and alter global topology. The cumulative effect of these processes, coupled to macroscopic gravity through the Gauss-Bonnet invariant, yields a dynamical effective cosmological constant, ?eff. Its sign and magnitude are determined by the statistical ensemble of instantons, allowing the dark energy equation of state to evolve across the phantom divide. By embedding the Topological Dark Energy in a FriedmannLemareRobertsonWalker background, we derive its background and linear perturbative cosmological dynamics and confront the model with DESI DR2 BAO, Union3 supernova, and Planck CMB data. The results show that Topological Dark Energy is observationally viable, reproducing key features of the expansion history while offering a theoretically motivated alternative to ?CDM.  2026 Elsevier B.V.</text>
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                <text>Kavya N.S., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Mishra S.S., Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Telangana, Warangal, 506371, India, Department of Mathematics, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, 500078, India; Sahoo P.K., Department of Mathematics, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, 500078, India</text>
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                <text>The accelerated expansion of the Universe remains a fundamental challenge in cosmology, motivating model-independent methods to reconstruct its expansion history without relying on specific dark energy models. Cosmography, which employs series expansions of cosmological observables around the present epoch, provides a powerful kinematic framework rooted in the cosmological principle. However, standard Taylor expansions suffer from limited convergence at high redshift, prompting the exploration of alternative expansions. In this work, logarithmic polynomial cosmography is investigated, which expands observables in powers of the logarithm of redshift, thereby enhancing convergence over a broad redshift range while maintaining physical insight. The logarithmic polynomial parameters are constrained using recent datasets, including gravitational-wave standard sirens, DESI DR2, cosmic chronometers, and multiple Type Ia supernova compilations (DES-SN5YR, Union3, Pantheon+SH0ES). The analysis demonstrates the efficacy of the logarithmic approach in accurately modeling the cosmic expansion history, providing an interpretable alternative to traditional cosmographic techniques.  2026 Wiley-VCH GmbH.</text>
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                <text>Kavya N.S., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Swagat Mishra S., Department of Mathematics, Birla Institute of Technology and Science, Pilani, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, Hyderabad, 500078, India; Sahoo P.K., Department of Mathematics, Birla Institute of Technology and Science, Pilani, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, Hyderabad, 500078, India</text>
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                <text>Kazim, Syed; Dave, Komal A.; Fernandes, Arthur; Azharshaheen, S.S.; Swaroop, Kotigari Reddi; Jaheer Mukthar, K.P.</text>
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                <text>Exploring the Roots of Customer Adaptability Through the Landscape of Physical Retail Environments</text>
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                <text>Studies in Systems, Decision and Control;Volume;568;pp.177-193</text>
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                <text>Kazim S., CMS Business School, JAIN (Deemed-to-be University), Bengaluru, India; Dave K.A., St. Josephs College of Commerce (Autonomous), Bengaluru, India; Fernandes A., Kirloskar Institute of Management, Harihar, India; Azharshaheen S.S., Kirloskar Institute of Management, Pune, India; Swaroop K.R., School of Business and Management, CHRIST University, Bengaluru, India; Jaheer Mukthar K.P., Kristu Jayanti College (Autonomous), Bengaluru, India</text>
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                <text>This research delves into the intricate dynamics of customer adaptability within the realm of brick-and-mortar retail, examining the pivotal role of managing customer knowledge capabilities. As traditional retail spaces evolve in response to technological advancements and shifting consumer behaviors, understanding the antecedents of customer agility becomes paramount. Drawing on insights from customer knowledge management literature and retail studies, this paper elucidates the nuanced interplay between customer adaptability and the strategies employed to harness and leverage customer knowledge. Through a comprehensive analysis of the contextual landscape of physical retail environments, we uncover the underlying factors that influence customer adaptability. By illuminating these connections, this study offers valuable insights for practitioners and scholars alike, contributing to a deeper understanding of how organizations can effectively navigate the evolving retail landscape to enhance customer experiences and foster sustainable growth.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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                <text>Brick-and-mortar retail; Consumer behavior; Customer adaptability; Customer knowledge management; Physical retail environments</text>
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                <text>R &amp;amp; python; Scoring; Sentiment analysis; Social media; Word cloud</text>
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                <text>Social media has become a part, where people say what they think. It has made remarkable condition for individuals to impart their thoughts to the world. More consumers are writing their reviews which help people to make decisions about the quality and whether they should purchase the product. With respect to distinguishing perspectives out of this immense pool of conclusions, it turns into a laborious task and doing it physically is in every practical sense impossible. When we want to purchase things the best way to choose the finest product is to rely upon the opinions of others who already purchased those items. Sentiment analysis is utilized to choose whether the author's view is positive, negative, or neutral towards a specific item. This paper provides a review of apple mobile phone where we find polarity of a product based on scoring. We also worked on identifying negative comments in a positive sentence. We found the count of different polarity of words from overall positive feedbacks and stored the negative words so that we can identify which feature of the product is not acceptable and should be work with. We are representing our final result using wordcloud where we can detect which features has flaws.  IAEME Publication.</text>
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                <text>Kedia M.; Das D.</text>
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                <text>International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 644-654.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044747870&amp;amp;partnerID=40&amp;amp;md5=39ba4bb35628ff4a9e1d92578b6b667a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044747870&amp;amp;partnerID=40&amp;amp;md5=39ba4bb35628ff4a9e1d92578b6b667a&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 9766340</text>
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                <text>Kedia M., Department of Computer Science, Christ University, Bengaluru, India; Das D., Department of Computer Science, Christ University, Bengaluru, India</text>
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