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                <text>This chapter attempts to understand the teaching-learning practices, programmes, courses, and pedagogies of an English department that recently co-opted cultural studies as a means of decolonisation in a private university in India to understand how cultural diversity, learner diversity, teacher experiences, and learner interests became considered factors in language learning pedagogies and selection of learning content. The research will employ mixed methods of qualitative and quantitative techniques of course content analysis, student interviews to gauge the impact of the learning on the decolonisation process, teacher interviews to understand approaches to task design, and the intended outcome and the strategies and perception changes in material production and task development when the learning shifted to the online mode as a result of the pandemic disruption.  2023 by IGI Global. All rights reserved.</text>
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                <text>Anuradha A., Department of MBA, Cambridge Institute of Technology, K.R. Puram, Bangalore, India; Shilpa R., Garden City University, Bengaluru, India; Thirupathi M., CHRIST University (Deemed), Bengaluru, India; Padmapriya S., CHRIST University (Deemed), Bengaluru, India; Supramaniam G., Acharya Institute of Graduate Studies, Bengaluru, India; Booshan B., Acharya Institute of Graduate Studies, Bengaluru, India; Booshan S., ISBR Business School, Bengaluru, India; Pol N., ISBR Business School, Bengaluru, India; Chavadi C.A., Presidency Business School, Presidency College, Bengaluru, India; Thangam D., Presidency Business School, Presidency College, Bengaluru, India</text>
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                <text>Education is the fundamental right of every child and an essential element of human growth. Indian education is divided into two parts: private and government education. Underprivileged children, affected by socio-economic factors, predominantly choose government education. Government primary educational institutions have failed to cope with the requirements of the corporate world. On the other hand, the students studying in private higher educational institutions seldom think of the challenges that socio-economically underprivileged children face. Genesys is the forum that unites these socio-economically underprivileged children with students at Christ University. Teaching and training disadvantaged children are the social responsibilities of young people, especially those in higher education. Each student should teach at least one person to make it a win-win situation for both learner and trainer. It helps University students build social skills and provides them with the opportunity to become part of the nation-building process. The chapter employed the quantitative study method to analyze the students' perception of teaching underprivileged children and how demographic variables impact it. It also identified the factors influencing the student's academic performance and psychological well-being. The study found that the students gained different skills like interpersonal skills, adaptability, teaching skills, and happiness, and these skills positively impacted their academic performance and psychological wellbeing. The expected outcome of the program supported by the university is to develop a win-win model for both University students and schoolchildren from low-income groups in society  2024 Nova Science Publishers, Inc.</text>
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                <text>Models for Social Responsibility Action by Higher Education Institutions, pp. 225-245.</text>
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                <text>Anuradha B., Department of Professional Studies, Christ University, Bengaluru, India; Kumar A.S., Department of Professional Studies, Christ University, Bengaluru, India</text>
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                <text>Sustainable development and fostering inclusive growth through microiinance in the indian economy</text>
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                <text>Anuradha P.S.; Ganesan G.</text>
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                <text>Anuradha P.S., Department Of Commerce, Christ University, Bangalore, India; Ganesan G., Department of Commerce, Bharathiar University, Coimbatore, Tamil Nadu, India</text>
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                <text>A CONCEPTUAL MODEL FOR SKILL DEVELOPMENT: A KEY DRIVER FOR INCLUSIVE GROWTH AND SUSTAINABLE DEVELOPMENT</text>
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                <text>community; inclusive growth; PMKVY; SANKALP; Skill Development Programmes; sustainable development goal</text>
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                <text>Purpose: This chapter explores the two major schemes applicable to skill development in India: Skill Acquisition and Knowledge Awareness for Livelihood Promotion (SANKALP) and Pradhan Mantri Kaushal Vikas Yojana (PMKVY). Need for the Study: The primary objective of this research is to check the role of these schemes in enhancing the skills of socio-economically stressed community members for their livelihoods. The secondary aim is to analyse the outcomes of these schemes through a qualitative inquiry. Methodology: A survey was conducted, and the data was collected from trainees of the skill development programmes. Based on the responses, a qualitative content analysis was performed, which showed that most trainees have the thirst and urge to enhance their life skills for a minimalistic livelihood. Findings: The study concluded that though there are many schemes, only PMKVY is active. They focus on more than just youth communities. Instead, they consider individuals in different age categories. Practical Implications: The Government of India (GOI) is progressing towards a healthy economy to compete with other countries. For this mission to be achieved, skill and labour development is paramount. Appropriate training must be provided and administrated through government schemes.  2024 by P. S. Anuradha, L. Mynavathi and M. Anand Shankar Raja Published under exclusive licence by Emerald Publishing Limited.</text>
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                <text>circumstellar matter; stars: emission-line, Be; techniques: photometric; techniques: spectroscopic</text>
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                <text>We report the first systematic study to identify and characterize a sample of classical Ae stars in the Galaxy. The spectra of these stars were retrieved from the A-star catalogue using the Large sky Area Multi-Object fibre Spectroscopic Telescope (LAMOST) survey. We identified the emission-line stars in this catalogue from which 159 are confirmed as classical Ae stars. This increases the sample of known classical Ae stars by about nine times from the previously identified 21 stars. The evolutionary phase of classical Ae stars in this study is confirmed from the relatively small mid- and far-infrared excess and from their location in the optical colour-magnitude diagram. We estimated the spectral type using MILES spectral templates and identified classical Ae stars beyond A3, for the first time. The prominent emission lines in the spectra within the wavelength range 3700-9000 are identified and compared with the features present in classical Be stars. The H ? emission strength of the stars in our sample show a steady decrease from late-B type to Ae stars, suggesting that the disc size may be dependent on the spectral type. Interestingly, we noticed emission lines of Fe ii, O i, and Paschen series in the spectrum of some classical Ae stars. These lines are supposed to fade out by late B-type and should not be present in Ae stars. Further studies, including spectra with better resolution, is needed to correlate these results with the rotation rates of classical Ae stars.   2021 2020 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.</text>
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                <text>Anusha R., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Shridharan B., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Arun R., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Nidhi S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Banerjee G., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Bhattacharyya S., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India</text>
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                <text>Cloud computing is the latest technology that has a significant influence on everyones life. During the COVID-19 crisis, cloud computing aids cooperation, communication, and vital Internet services. The pandemic situation made the people switch to online mode. The technology helped to bridge the gap between the work space and personal space. A quick evaluation of cloud computing services to health care is conducted through this study in COVID situation. A short overview on how cloud computing technologies are critical for addressing the current predicament has been held. The paper also discusses distant working of cloud computing in health care. Moreover, cloud infrastructure provides a way to connect with different aid personnel. The patient data can be transferred to the cloud for monitoring, surveillance, and diagnosis. Thus, health care is provided instantaneously to all the individuals. Additionally, the study addresses the privacy and security-related issues with appropriate solutions. The paper also briefs on the different kind of services are provided by different CSPs that are cloud service providers to confront this epidemic. This article primarily focuses on cloud computing technology involvement in COVID, and secondary focus is on other technology like blockchain, drones, machine learning and Internet of things in COVID-19.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Anushka Xavier K.; Chetradevee S.L.; Jayapandian N.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-461, pp. 223-233.</text>
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                <text>ISSN: 23673370; ISBN: 978-981192129-2</text>
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                <text>Anushka Xavier K., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Chetradevee S.L., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India</text>
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                <text>Analytical Methods of Machine Learning Model for E-Commerce Sales Analysis and Prediction</text>
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                <text>Boosting; Explained Variance; Extreme Gradient Boosting; Machine Learning; Sales Prediction</text>
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                <text>In the commercial market, E-commerce sales show a significant trend and have attracted many consumers. Ecommerce sales forecasting has a significant role in an organization's growth and aids in improved operation. Many studies have been conducted in the past using statistical, fundamental, and data mining techniques for better analysis and prediction of sales. However, the current scenario calls for a better study that combines the available information to propose different machine-learning techniques. The sole motive of the study is to analyze and determine different machine learning models to predict accurate results. The research observed that the Extreme Gradient Boosting model outperformed all other models and brought a good result. It produced an RMSE value of 0.0004 and Explained Variance score of 0.99. Decision Tree algorithm also shows an exemplary result.   2023 IEEE.</text>
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                <text>Anushka Xavier K.; Manjunath C.; Manohar M.; Gurudas V.R.; Jayapandian N.; Balamurugan M.</text>
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                <text>Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications</text>
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                <text>Anushka Xavier K., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India; Manjunath C., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India; Manohar M., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India; Gurudas V.R., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India; Jayapandian N., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India; Balamurugan M., CHRIST (Deemed to Be University), Department of CSE, Bangalore, India</text>
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                <text>Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing</text>
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                <text>ASDET; Cloud computing; Delay; Energy; Health care; Machine learning; Malicious node; MDSR; NEHR; Security</text>
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                <text>The recent growth of cloud computing has led to most companies storing their data in the cloud and sharing it efficiently with authorized users. Health care is one of the initiatives to adopt cloud computing for services. Both patients and healthcare providers need to have access to patient health information. Healthcare data must be shared and maintained more securely. While transmitting health data from sender to receiver through intermediate nodes, intruders can create falsified data at intermediate nodes. Therefore, security is a primary concern when sharing sensitive medical data. It is thus challenging to share sensitive data in the cloud because of limitations in resource availability and concerns about data privacy. Healthcare records struggle to meet the needs of security, privacy, and other regulatory constraints. To address these difficulties, this novel proposes a machine learning-based Maximum Decision Support Regression (MDSR)-based Advanced Secure Data Encrypt Transmission (ASDET) approach for efficient data communication in cloud storage. Initially, the proposed method analyzed the node's trust, energy, delay, and mobility using Node Efficiency Hit Rate (NEHR) method. Then identify the efficient route using an Efficient Spider Optimization Scheme (ESOS) for healthcare data sharing. After that, MDSR analyzes the malicious node for efficient data transmission in the cloud. The proposed Advanced Secure Data Encrypt Transmission (ASDET) algorithm is used to encrypt the data. ASDET achieved 92% in security performance. The proposed simulation result produces better performance compared with PPDT and FAHP methods.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Anusuya V., Associate Professor/CSE, Ramco Institute of Technology, Rajapalayam, India; Bejoy B.J., Assistant Professor/CSE, CHRIST (Deemed to Be University), Bangalore, India; Ramkumar M., Associate Professor/CSBS, Knowledge Institute of Technology, Salem, India; Shanmugaraja P., Associate Professor/IT, Sona College of Technology, Salem, India; Dhiyanesh B., Associate Professor/CSE, Dr. N.G.P. Institute of Technology, Coimbatore, India; Kiruthiga G., Associate Professor/CSE, IES College of Engineering, Thrissur, India</text>
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                <text>Knowledge, preparedness, and resilience related to end of life decision making among family caregivers of ICU patients</text>
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                <text>End-of-Life decision making is the process that is treating team, patients, and patients??? families go through when considering what treatments will or will not be used to treat a life-threatening illness. In India, End-of-Life Care is a new phenomenon and rarely investigated. The religious and societal attitudes and an absence of education in medical ethics can be seen as reasons for the underdevelopment of End-of-Life Care field. It seems that social workers, particularly who assist patients in Intensive care unit treatment have an important role to play in this regard. Social workers deliver assistance to the critically ill person and their family members as they get admission to the Intensive care unit, enhancing the conversation among treating group, patients and family members. The objective of this study is to assess the knowledge, preparedness and resilience among family caregivers related to End-of-Life decision making. This study utilizes a descriptive research design and purposive sampling method. The study includes 71 first degree relatives of patients who are significantly involved in caring of the patient and related to decision making. All the participants had their family members admitted to the Intensive Care Unit of St. John???s Medical College Hospital, Bengaluru. This study found that there is minimal knowledge among family caregivers and they had no high level of preparedness. There is ethical concern along with finance and they seem to be confused about the decisions taken. Due to lack of awareness among the family caregivers, they surrender the patient to the treating team. Religious conflict is another aspect which is an obstacle to family caregivers for an End-of-Life decision making. The study also found that as the duration of Intensive Care Unit hospitalization increases the resilience among family caregiver???s decreases. It is important that Medical Social workers identify ways to improve End-of-Life care process through interventions. This can be achieved through training in Master of Social Work programs and by educating social workers. The study concludes that there is an immense gap between the family caregivers and the patient with regard to their knowledge on End-of-Life decision making. Hence, this study highlights the importance of Medical Social Worker in Intensive Care Unit to facilitate patient autonomy and the family caregivers??? decisions on the patient.</text>
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                <text>Analysis of nonlinear convection and diffusion in viscoelastic fluid flow with variable thermal conductivity and thermal radiations</text>
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                <text>The study offers a thorough evaluation of the complex fluid dynamics and heat transfer phenomena in Williamson viscoelastic fluid flow, taking into account thermal radiations and variable thermal conductivity. The paper extends its analysis to include heat transfer effects, which are critical in several engineering and industrial applications, and digs into the complexity of non-Newtonian fluid behavior, with a special focus on thermal radiation, heat production, diffusion and viscous dissipation. The study makes use of mathematical models and numerical method RK4 to clarify the nonlinear interactions between convection and diffusion processes in this viscoelastic fluid. The energy and concentration equations are simulated in the presence of the modified Fourier and Fick laws. Moreover, the predicted heat flow is based on the Cattaneo-Christov theory. This research also sheds light on the interaction between rheological properties and thermal characteristics, providing important new knowledge to the broader field of fluid dynamics and heat transfer.   2024 World Scientific Publishing Company.</text>
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                <text>Modern Physics Letters B, Vol-38, No. 22</text>
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                <text>Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Alghamdi M., Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Muhammad T., Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Hussain M., Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore, 54890, Pakistan; Puneeth V., School of Sciences, CHRIST University, Delhi-NCR, Ghaziabad, India</text>
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                <text>Clay-based cementitious nanofluid flow subjected to Newtonian heating</text>
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                <text>clay nanoparticles; Constant proportional Caputo fractional derivative; Newtonian heating; slippage conditions; Zakian's algorithms</text>
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                <text>In recent years, a novel technique for producing robust cementitious materials, called nanocomposites, has emerged. These materials are comprised of clay minerals and polymers. As a result, a vertical flat plate has been used to evaluate a clay-based cementitious nanofluid in this research. The impacts of first-order chemical reactions, heat generation/heat absorption, and the Jeffrey fluid model are taken into account for the study of flow. Newtonian heating and the conditions for slippage velocity have also been considered. The mathematical problem for the flow analysis has been established in relations of partially coupled partial differential equations and the model has been generalized using constant proportional Caputo (CPC) fractional derivative. The problem is solved using the Laplace transform technique to provide precise analytical solutions. On the concentration, temperature, and velocity fields, the physics of a number of crucial flow parameters have been examined graphically. The acquired results have been condensed to a very well-known published work to verify the validity of the current work. It is important to note here that the rate of heat transfer in the fluid decreases by 10.17% by adding clay nanoparticles, while the rate of mass transfer decrease by 1.31% when the value of ? reaches 0.04.   2023 World Scientific Publishing Company.</text>
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                <text>Anwar M.S.; Hussain M.; Hussain Z.; Puneeth V.; Irfan M.</text>
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                <text>International Journal of Modern Physics B, Vol-37, No. 14</text>
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                <text>&lt;a href="https://doi.org/10.1142/S0217979223501400" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0217979223501400&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143688060&amp;amp;doi=10.1142%2FS0217979223501400&amp;amp;partnerID=40&amp;amp;md5=4b5d4cac148fe1bfee58e4599f0f1ca9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143688060&amp;amp;doi=10.1142%2fS0217979223501400&amp;amp;partnerID=40&amp;amp;md5=4b5d4cac148fe1bfee58e4599f0f1ca9&lt;/a&gt;</text>
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                <text>Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Hussain M., Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore, 54890, Pakistan; Hussain Z., Department of Mathematics, University of Baltistan, Skardu, Pakistan; Puneeth V., Department of Computational Science, Christ (Deemed to Be University), Ghaziabad, 201003, India; Irfan M., Department of Mathematical Sciences, Federal Urdu University of Arts Sciences &amp;amp; Technology, Islamabad, 44000, Pakistan</text>
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                <text>MHD nanofluid flow through Darcy medium with thermal radiation and heat source</text>
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                <text>heat transfer; Nanouid; porous medium; viscous dissipation; wedge</text>
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                <text>In this analysis, we have considered heat transmission in two-dimensional steady laminar nanouid ow past a wedge. Magnetohydrodynamic (MHD), Brownian motion, viscous dissipation and thermophoresis eects are considered over the porous surface. Similarity transformations have been used to change the governing partial dierential equations (PDEs) into nonlinear higher-order ordinary dierential equations (ODEs). Governing ODEs with boundary conditions are then converted to the system of first-order initial value problem. After that the modeled system is solved numerically by RK4 technique. Impact of the magnetic number, Eckert number, Prandtl number, Lewis number, Brownian motion, thermophoresis and permeability parameters on the ow domain is analyzed graphically as well as in tabular form. It is noted that magnitude of Nusselt number for the ow regime increases with the increase of nondimensional parameter Pr; Nb; Nt while opposite behavior is observed in case of R.  World Scientific Publishing Company.</text>
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                <text>Anwar M.S.; Muhammad T.; Khan M.; Puneeth V.</text>
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                <text>International Journal of Modern Physics B</text>
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                <text>World Scientific</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1142/S0217979224503867" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0217979224503867&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175433158&amp;amp;doi=10.1142%2FS0217979224503867&amp;amp;partnerID=40&amp;amp;md5=ec0e291dccd51fb1dba9bb3073db2617" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175433158&amp;amp;doi=10.1142%2fS0217979224503867&amp;amp;partnerID=40&amp;amp;md5=ec0e291dccd51fb1dba9bb3073db2617&lt;/a&gt;</text>
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                <text>ISSN: 2179792; CODEN: IJPBE</text>
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                <text>Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Muhammad T., Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Khan M., Faculty of Science, Jiangsu University, Jiangsu, Zhenjiang, 212013, China; Puneeth V., Department of Computational Sciences, Christ University, Delhi NCR, Ghaziabad, 201003, India</text>
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