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                <text>Varma, Anushka; Saraiya, Aashi Samir; Tuli, Kashvi; Suresh, Sruthi; Srivastava, Srishti</text>
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                <text>Redefining Business in Volatile and Ambiguous Times;pp.243-281</text>
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                <text>Varma A., Infiheal Healthtech Private Limited, India; Saraiya A.S., Infiheal Healthtech Private Limited, India; Tuli K., Infiheal Healthtech Private Limited, India; Suresh S., Christ University, India; Srivastava S., Infiheal Healthtech Private Limited, India</text>
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                <text>Smart and digital wellbeing initiatives play a significant role in modern healthcare. This chapter explores current initiatives, their use and effectiveness, as well as their challenges and future directions, with a special focus on mental health. It explores digital wellbeing, the growing need for initiatives, and the tools available in India and the world. These initiatives enhance accessibility, reduce stigma, offer personalized interventions, and improve psychological and workplace wellbeing. However, current technology, especially AI-based chatbots, have limited user interaction and authentic therapeutic support. Additionally, biased datasets can lead to flawed responses and issues with inclusive support. Current initiatives face privacy concerns due to a lack of regulatory bodies, emphasizing the need for robust regulation and oversight. Collaborative development, appropriate marketing and improved security are key to improving existing initiatives. Future research needs to address and explore these concerns to ensure the development of effective and ethical initiatives.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Journal of Urbanism;Volume;18;Issue;2;pp.323-325</text>
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                <text>Varma S., Department of Economics, Christ (Deemed to be University), India</text>
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                <text>This short note is a recapturing of what Mike Davis stood for and how we all can pay homage to such a great figure who cannot be merely disciplined into any academic specializations. His wonderful marriage of theory and practice is a case in point emphasized throughout this note.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Modification of carbon dots (CDs) is essential to enhance their photophysical newlineproperties and applicability. Physical (e.g., composite material blending, coreshell architecture) and chemical (e.g., doping, surface passivation) methods exist to modify CDs. Different precursors can impart varied functionalities and heteroatomic dopants on CDs. Despite several modification strategies, the reproducibility and scalability of CDs still need to be improved. Newer approaches for modifying CDs are thus essential to ensure lab-to-lab and batchto-batch consistency. Our study focused on developing novel strategies for the physicochemical modifications of CDs. The theoretical simulation we performed for surface-functionalised CDs with the aid of density functional theory and time-dependent density functional theory helped to predict the mechanism of photoluminescence (PL) and to analyse the effect of hydrogen bonding on the newlineproperties of CDs (Chapter 3). We have developed a novel and general method for preparing amine functionalized CDs from modified paper precursors (Chapter 4). This strategy allows us to prepare CDs with customized functionalities, alleviating the post-synthesis modification. A novel ionimprinting strategy involving CDs synthesised from modified paper precursors newlinewas also developed through our research (Chapter 5). In another work, we utilized silk fibers as a matrix for immobilising CDs (Chapter 6). CDs prepared from mulberry leaves were fed to silkworms to produce CD-embedded silk fibres, which could be used to detect dopamine. In addition, we prepared CDs newlinefrom an unreported natural source (frankincense), which were used to detect lead ions (Chapter 7). We demonstrated the heavy metal sensing application of these newlineCDs in combination with a UV-light LED chip and a smartphone, which is relevant in resource-limited areas. The research results presented in the thesis are expected to inspire further investigations and applications related to CDs.</text>
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                <text>Varsha, Lisa John</text>
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                <text>Varshini, R. Loga; Ragesh, K.; Ramkumar, K.; Vel, R. Arun Shai Saravana; Kumar, R. Bharani Raj; Saravanan, M.</text>
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                <text>A Verilog-Based Design Framework for Real-Time Edge Detection in Image Processing</text>
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                <text>Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;</text>
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                <text>Varshini R.L., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ragesh K., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ramkumar K., School of Engineering and Technology, Christ (Deemed to be University), Bengaluru, India; Vel R.A.S.S., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Kumar R.B.R., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Saravanan M., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India</text>
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                <text>This article details the design process of a real-time image processing system developed in Verilog. The design has proven highly effective in real-time image acquisition, buffering, and processing, with a focus on hardware and performance optimization. The principal modules are a line buffer for image frame storage, a convolution engine featuring edge detection filters such as Sobel and Prewitt, and a control unit responsible for data flow and synchronization. The architecture facilitates the transmission of image data from a camera, with processed images transmitted via VGA/HDMI interfaces. Focus is placed on attaining low latency, high throughput, and optimal utilization of FPGA platform resources. The technology is particularly relevant for autonomous systems, medical imaging, industrial automation, and surveillance, where real-time edge detection is crucial for decision-making. 2025 IEEE.</text>
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                <text>Edge Detection; FPGA; Hardware Acceleration; Hardware Design; High-Throughput Architecture; Image Processing; Line Buffer; Low Latency; Parallel Processing; Real-Time Image Processing; Real-Time Processing; Verilog; VGA/HDMI Output</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: bursts; X-rays: individual: 4U 1702?429</text>
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                <text>Varun M., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India</text>
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                <text>Wireless sensor networks are communication networks that deal with sensor devices that are wirelessly interconnected in order to collect and forward data between different environments. Network scaling of small sensor devices with all its limitations has a foolproof scope for future applications. The advantage of minimal infrastructural cost and applicability within challenging environments make it an attractive choice. Statistics have been shown to prove the demand for research for synchronization and localization as a research problem. WSNs are capable of dynamically building virtual infrastructure and getting synchronized with the rhythm of communication setup. Limitations in the amount of energy that can be utilized make it a necessity for the networks to be more optimal in terms of energy consumption. These challenges necessitate the need to study and analyze the recent advancements implemented in approaching synchronization and localization problems. This paper reviews recent research proposals and methodologies to identify related attributes and their relation to the system. A detailed comparative study is conducted to identify relevant patterns that influence the performance of the networks in terms of energy consumption.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Varun Somanna M.N.; Sandeep J.; Thomas L.</text>
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                <text>Lecture Notes in Electrical Engineering, Vol-840, pp. 585-602.</text>
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                <text>Varun Somanna M.N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Sandeep J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Thomas L., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Varun M., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Giridharan L., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India</text>
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                <text>In this work, we present spectral and burst analyses of three thermonuclear type I X-ray bursts (B1, B2, and B3) detected from the ultracompact neutron star low-mass X-ray binary M15 X-2, using data from the Neutron Star Interior Composition Explorer (NICER). Time-averaged spectral fitting with the model tbabsthcompiskbb) suggests that the source was in a soft or soft-intermediate spectral state, characterized by a photon power law index of ??2 and an average mass accretion rate of ?0.09 m?Edd. The type I X-ray bursts exhibited rapid rise times of 1.25?2.75 s, followed by longer decay phases lasting 14.50?23.25 s, with characteristic burst timescales (?) of ?11 s, which are consistent with pure helium burning. Notably, burst B3 displayed a double-peaked profile indicative of a photospheric radius expansion event, from which we inferred the neutron star radius to be 10.8+2.4?2.2 km. Based on the peak flux of the burst, we estimated the source distance to be 10.54+1.43?1.26 kpc under the assumption of isotropic emission, and 14.06+1.90?1.68 kpc for anisotropic emission geometry. A strong ?420 Hz burst oscillation candidate was detected in the cooling tail of burst B1.  2025 Elsevier B.V.</text>
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                <text>Discovery of a 459 Hz Burst Oscillation in XTE J1810?189 with NICER</text>
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                <text>Astrophysical Journal;Volume;995;Issue;2;Article No.;153;</text>
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                <text>Varun M., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India</text>
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                <text>We present a detailed temporal study of a type I X-ray burst from the neutron star low-mass X-ray binary (NS-LMXB) XTE J1810?189, observed on 2023 April 27 using the Neutron Star Interior Composition Explorer. The burst exhibited a rapid rise time of 2.55 s, followed by an exponential decay lasting for 7.5 s, with a total duration of ?13 s. Type I X-ray bursts are driven by thermonuclear burning on the surface of a neutron star in an NS-LMXB. As these bursts originate from the stellar surface they can exhibit highly coherent signals known as burst oscillations, which serve as probes of the neutron stars spin frequency. We report the detection of a burst oscillation signal at ?459 Hz at the cooling tail of the burst. The oscillation showed a strong Leahy-normalized power of PL = 35.95 at 458.92 Hz, corresponding to a single-trial significance of 5.53? and a multiple-trial corrected significance of 3.14?. The folded pulse profile in the 0.212 keV band is well described by a constant plus sinusoid with a fractional rms amplitude of 14.63%. These results suggest that the burst oscillation frequency of XTE J1810-189 directly reflects on the neutron stars spin, measured here to be ?2.18 ms, placing it among the rapidly rotating NS-LMXBs. This burst oscillation signal at the cooling tail of the burst can be interpreted through surface mode model or the asymmetric cooling wake model.  2025. The Author(s). Published by the American Astronomical Society.</text>
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                <text>Production of bioactive compounds from cell and organ cultures of Centella asiatica </text>
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                <text>bioreactor; Centella asiatica; centellosides; elicitation; plant tissue culture</text>
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                <text>Centella asiatica, commonly known as mandukaparni, has garnered recognition for its efficacy in addressing a spectrum of health concerns. Its diverse pharmacological properties encompass roles in treating neuro-related issues, gastrointestinal problems, and cardiovascular conditions. Furthermore, it exhibits multifaceted therapeutic effects, including antioxidant, antidiabetic, wound healing, skin protective, and anti-osteoporotic properties. This herbaceous plant is rich in bioactive compounds such as centellosides (triterpene saponins) including madecassoside, madecassic acid, asiatic acid, and asiaticoside. These compounds, crucial for their pharmacological potential, are biosynthetically produced through the mevalonate and methylerythritol phosphate pathways. However, the challenge lies in the production of these important secondary metabolites, given the adverse impact on the availability of mandukaparni due to increasing demand. To address this concern, this chapter emphasizes the biotechnological interventions for the production of bioactive phytochemicals. These include plant tissue culture techniques, such as cell and organ cultures, along with elicitation strategies, genetic engineering approaches, and bioreactor-scale production. These methods aim to enhance the sustainable production of centellosides, providing valuable insights for researchers and paving the way for future opportunities in the field of plant-based therapeutics.  2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.</text>
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              <elementText elementTextId="148014">
                <text>Vasantha V.L.; Sudheer W.N.; Al-Khayri J.M.; Jain S.M.; Nagella P.</text>
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                <text>Biotechnological Production of Bioactive Phytochemicals of Medicinal Value: a Comprehensive Treatise, pp. 585-603.</text>
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                <text>Vasantha V.L., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sudheer W.N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Jain S.M., Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Vasantha, V.L.; Bhoomika Prakash, P.; Yadav, Bhavana C.; Hiremath, Bhagyalakshmi N.; Mukherjee, Saptadeepa; Swathi, P.; Ramakrishnan, Rashmi; Nagella, Praveen; Al-Khayri, J.M.</text>
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                <text>Role of Antibiotics in Animal Feed: Prospects and Future Challenges</text>
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                <text>Antimicrobials in Animal Husbandry;pp.32-72</text>
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                <text>Vasantha V.L., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Bhoomika Prakash P., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Yadav B.C., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Hiremath B.N., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Mukherjee S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Swathi P., Institute for Stem Cell Science and Regenerative Medicine (inStem), GKVK Campus, Bangalore, 560065, India; Ramakrishnan R., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia</text>
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                <text>Antibiotics were discovered more than 50 years ago and are now commonly employed in cattle and poultry production to prevent animal illnesses and increase livestock productivity. They were quickly embraced as an integral part of livestock feeding programs after their benefits were recognized. To meet the increasing demand for animal protein for human consumption, antibiotics in animal feed are also highly sought after because they enhance the quality and quantity of meat as well as growth efficiency. Antibiotic overuse, however, has led to the emergence of resistant strains and presented health risks to people. The most significant negative impact of antibiotic residues entering the food chain has been the spread of antibiotic-resistant organisms to humans due to the transportable nature of resistance. Because of these drawbacks, there are many alternate strategies suggested for combating resistance. These include vaccines, bacteriocins, antimicrobial peptides, and phage therapy, to name a few. Even though they are not yet as effective as antibiotics, they can be utilized in preventive and management strategies. Overall, the combination of suggested alternative interventions with limited antibiotic use appears to be promising in combating antimicrobial resistance. In general, antibiotic usage in animal foods should be regulated because of these adverse repercussions, along with a need to concentrate on improving animal nutrition and the production of high-quality animal products.  2026 selection and editorial matter, Arti Gupta and Ram Prasad; individual chapters, the contributors.</text>
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                <text>Earlier identification of brain tumor (BT) is essential to increase the survival rate of the patients. The commonly used imaging technique for BT diagnosis is magnetic resonance imaging (MRI). Automated BT classification model is required for assisting the radiologists to save time and enhance efficiency. The classification of BT is difficult owing to the non-uniform shapes of tumors and location of tumors in the brain. Therefore, deep learning (DL) models can be employed for the effective identification, prediction, and diagnosis of diseases. In this view, this paper presents an automated BT diagnosis using rat swarm optimization (RSO) with deep learning based capsule network (DLCN) model, named RSO-DLCN model. The presented RSO-DLCN model involves bilateral filtering (BF) based preprocessing to enhance the quality of the MRI. Besides, non-iterative grabcut based segmentation (NIGCS) technique is applied to detect the affected tumor regions. In addition, DLCN model based feature extractor with RSO algorithm based parameter optimization processes takes place. Finally, extreme learning machine with stacked autoencoder (ELM-SA) based classifier is employed for the effective classification of BT. For validating the BT diagnostic performance of the presented RSO-DLCN model, an extensive set of simulations were carried out and the results are inspected under diverse dimensions. The simulation outcome demonstrated the promising results of the RSO-DLCN model on BT diagnosis with the sensitivity of 98.4%, specificity of 99%, and accuracy of 98.7%.   2023 World Scientific Publishing Company.</text>
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                <text>Vasantharaj A., Department of ECE, Excel Engineering College (Autonomous), Namakkal Tamil Nadu, India; Rani P.S., Department of CSE, R.M.D Engineering College, Tamil Nadu, Chennai, India; Huque S., Department of CSE, Guru Nanak Institutions Technical Campus, Telangana, Hyderabad, India; Raghuram K.S., Department of Mechanical Engineering, Vignan's Institute of Information Technology(A), Andhra Pradesh, Visakhapatnam, India; Ganeshkumar R., Department of CSE, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Shafi S.N., Department of Computer Science, Institute of Technology, Woldia University, Ethiopia</text>
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                <text>Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications, pp. 118-134.</text>
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                <text>Vasaya F.N., CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Sandeep J., CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Thomas L., CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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                <text>Vashist, Dev Dutt; Sharma, Manjari; Pandey, Pallavi</text>
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                <text>The role of behavioral finance in shaping economic decision-making: Insights from AI and big data integration</text>
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                <text>Understanding Human Decision-Making in Economic Models;pp.27-64</text>
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                <text>This chapter examines how behavioral biases and institutional factors influence investment decisions, bridging gaps in behavioral finance literature. It explores cognitive biases like overconfidence, loss aversion, and herd behavior alongside institutional elements such as regulations and market stability. A mixed-methods approach combines survey data from 320 investors and 30 interviews. Findings show a strong link between biases and decisions, with overconfidence and loss aversion as key drivers. Regulatory transparency reduces bias impact, while uncertainty amplifies emotional reactions. The study highlights the need for clear policies, financial education, and future research on AI's role in mitigating biases.  2025, IGI Global Scientific Publishing.</text>
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                <text>Internet of Things Enhancing Sustainability of Business</text>
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                <text>Business sustainability; Competitive advantage; Digital revolution; IoT; Smart devices</text>
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                <text>When one assumes that the current era is the era for digital revolution then the Internet of Things (IoT) is supposed to be one of the most significant among all. It is the IoT which is assisting the bussinesses. Current IoT applications, on the other hand, are still in their early stages, and the true capacity of viable business opportunities has yet to be realised. However, IoT adoption may need considerable integration and experienced personnel. It also frequently generates new requirements in terms of security and interoperability, or the ability for different computer hardware systems as well as software applications to "speak"to one another.   2022 IEEE.</text>
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                <text>Journal of Psychiatric Research, Vol-134, pp. 30-31.</text>
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                <text>Vasudevan M., School of Business and Management, Christ University, Bangalore, India; Alagarsamy S., School of Business and Management, Christ University, Bangalore, India; Mehrolia S., School of Business and Management, Christ University, Bangalore, India; Jeevananda S., School of Business and Management, Christ University, Bangalore, India</text>
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                <text>Brand awareness of 'generation y' customers towards doughnut retail outlets in India</text>
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            <description>The topic of the resource</description>
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                <text>The Research is all about knowing the customers acquiring top of mind recall about doughnut retail outlets in Bangalore city, India through various methods. Once the brand is established in the minds of the consumers, it occupies a unique position and special meaning and value is generated. Brand awareness is the consumer's conscious or unconscious decision, expressed through intention or behavior, to repurchase a brand continually. In order to create brand loyalty, advertisers must break consumer habits, help them to acquire new habits and reinforce those habits by reminding consumers of their purchase and encourage them to continue purchasing those products in the future. 'Generation Y' refers to customers millennial, the generation of people born during the 1980s and early 2000s. 'Generation Y' consumer's access social media on daily basis but they often ignore advertisements that are targeted to them. The previous research works on' Generation Y' customers emphasize that marketers must focus on social media marketing to draw the attention of these customers. Determining the brand awareness of 'Generation Y' customers was considered, in order to know the present level of awareness about the doughnut brands, increase the customer traffic and sales as 'Generation Y' customers are the target customers for doughnut retail outlets.</text>
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                <text>Journal of Business and Retail Management Research, Vol-11, No. 4, pp. 108-113.</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>Vasudevan M., Institute of Management Christ University, Bangalore, India, Research and Development Centre Bharathiar University, Coimbatore, India; Senthilkumar V.M., Department of Humanities Sri Shanmuga College of Engineering and Technology, Sankari, Tamil Nadu, India</text>
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                <text>Vasudevan S.R., Department of Psychology, School of Psychological Sciences, CHRIST (Deemed to be University), Bengaluru, India; V. M A., Department of Psychology, School of Psychological Sciences, CHRIST (Deemed to be University), Bengaluru, India</text>
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