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                <text>Revisiting Television in India: Mapping the Portrayal of Women in Soap Operas</text>
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                <text>Construction of womanhood; portrayal of women; serials; soap operas; television in India</text>
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                <text>This article attempts to map the portrayal of women in popular soap operas on television in India. It begins with the discourses around portrayal of women on Doordarshan in the pre-liberalisation era and goes on to analyse a few soap operas in the past one decade. With substantive review of visual texts, it aims to disprove the claim that there is a paradigm shift especially with respect to the portrayal of women in the contemporary and so-called progressive soap operas. It concludes by comparing all the phases of development of television in India with respect to construction of women and stating how very little and inconsequential change has occurred in this regard in spite of all the efforts from the state and the intellectual community.  2018 Indian Sociological Society.</text>
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                <text>Sociological Bulletin, Vol-67, No. 2, pp. 204-219.</text>
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                <text>Sahu S., Department of Sociology, Christ University, Bangalore, India</text>
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                <text>The COVID-19 pandemic has wracked even the most modern healthcare systems worldwide and has influenced Indias healthcare sector and vastly affected the governments and corporate stakeholders healthcare reform plans; hence, this chapter is intended to unfold the paradigm shift in Indias primary healthcare industry due to the pandemic in the last one and half years. This chapter described Indias experience with the coronavirus during the first and second waves and tried examining the public health difficulties in the COVID era. It provides a timeline of significant events of the pandemics growth in India and worldwide and how India responded to the situations through their economic and healthcare policies. We also go through some of the pandemics impacts and Indias recovery approach and strategies for its revival. All possibly available secondary data like Scopus, Web of Science, Medline/PubMed, and Google Scholar search engines, newspapers, government websites, etc., were excavated to meet this purpose; secondary sources were used to analyze the data. This chapter also examined the effect of COVID-19 on healthcare workers in India. This chapter critically examined the primary healthcares role during this pandemic and the governments policies and processes to deal with COVID-19 and any other unforeseen situations which the country may encounter in the future.  2022 Elsevier Inc. All rights reserved.</text>
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                <text>Lessons from COVID-19: Impact on Healthcare Systems and Technology, pp. 139-169.</text>
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                <text>&lt;a href="https://doi.org/10.1016/B978-0-323-99878-9.00009-1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-323-99878-9.00009-1&lt;/a&gt;
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                <text>Rai R., School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Singh P., School of Management and Commerce, Poornima University, Rajasthan, Jaipur, India</text>
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                <text>In India, as of 2021, there was a 7.2% increase in suicides. With the economic burden inflicted by the pandemic and increasing suicides, a systematic investigation needs to be done. This empirical investigation uses the Autoregressive Distributed Lag (ARDL) model to obtain long and short-term estimates for the relationship between suicides and prominent economic indicators. The findings suggest that economic indicators like GDP per capita growth, age dependency ratio, and unemployment rate have a significant dynamic relationship with suicides. In this regard, preventive measures can be formulated and implemented in such a way that focuses on improving the countrys economic scenario which will in turn reduce suicides. Organizations and governments can plan training and mental health care programs for farmers, workers, and students. Mental health care services require attention from the government so that at a macro level the problem of increasing suicides can be handled.  The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.</text>
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                <text>Studies in Systems, Decision and Control, Vol-487, pp. 751-760.</text>
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                <text>Sannapureddy K., CHRIST (Deemed to be University), Bangalore, India; Shaw J., CHRIST (Deemed to be University), Bangalore, India; Bashir S., CHRIST (Deemed to be University), Bangalore, India; Vijayalakshmi S., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Joseph J., Marian College Kuttikkanam, Idukki, Kerala, India; Gillariose J., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India</text>
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                <text>This study introduces a novel reflectiveformative hierarchical model specification for the classic pushpull tourist motivation construct, aligning its measurement with the theoretical distinction between intrinsic push drives and external pull attributes. Unlike the traditional reflective-reflective structuring of tourist motivation we defied the higher order factors (novelty, knowledge and facilities as formative. Using partial least squares structural equation modeling (PLS-SEM) on a purposive sample of 319 international tourists, we empirically validate the reflectiveformative (reflective first-order, formative second-order) model. The reflectiveformative model showed a superior fit and predictive power: it explained substantially more variance in key outcome constructs (social motives (R2 = 53.60) and self-actualization (R2 = 23.10)) than the traditional reflectivereflective specification (social motives (R2 = 49.30) and self-actualization (R2 = 21.70)), which is consistent with best-practice guidelines for theoretically grounded models. In contrast, the incorrectly specified reflectivereflective model showed stronger effects between unrelated constructs, supporting concerns that choosing the wrong type of measurement model can lead to incorrect conclusions. By reconciling the pushpull theory with measurement design, this works main contributions are a theoretically justified reflectiveformative model for tourist motivation, and evidence of its empirical benefits. These findings highlight a methodological innovation in motivation modeling and underscore that modeling pushpull motives formatively yields more accurate insights for theory and practice.  2025 by the authors.</text>
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                <text>model misspecifications; push pull motive; tourist motive; tourist satisfaction</text>
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                <text>Purpose: This paper documents a robust empirical regularity: higher trade openness is associated with a lower unemployment rate. This paper also examines whether or not the effects of trade liberalisation depend on countries' income levels. Further, the dynamic causation between trade openness and unemployment is also examined. Design/methodology/approach: In order to obtain insight into the opennessunemployment nexus, following empirical methods were utilised - static panel models, dynamic panel models and a novel panel Granger causality approach proposed by Juodis etal. (2021). Findings: Results suggest that openness negatively affects unemployment; the extent to which trade liberalisation affects unemployment depends on the income level of each country. The Juodis, Karavias, and Sarafidis (JKS) test confirmed that the past values of trade openness, inflation, foreign direct investment and gross domestic product per capita contain information that helps to predict unemployment in a more robust manner. To simply put, opening upto trade may eventually become a requirement for creating more job opportunities, but this alone may not be enough. The extent to which nations benefit from trade liberalisation is largely dependent on the overall economic conditions and their capability to move up the income scale. Originality/value: A major difference between this study and those performed previously is that this study does not only examine the impact of trade openness on unemployment, but also investigates whether the unemployment effect of liberalisation is affected by countries' income levels  an issue that has received little attention in the past. Additionally, the unique panel non-causality approach put forth by Juodis etal. (2021) is used in the first instance to look into the causal link between trade openness and unemployment. This method has advantages in that the method enables capturing Granger-causality in homogeneous or heterogeneous panels amongst multiple variables.  2023, Emerald Publishing Limited.</text>
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                <text>Bhat M.A.; Beg M.N.</text>
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                <text>Journal of Economic Studies, Vol-50, No. 8, pp. 1889-1907.</text>
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                <text>Bhat M.A., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India; Beg M.N., GDC, Kokernag, Srinagar, India</text>
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                <text>Bashir S., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Ayoub T., Centre of Central Asian Studies, University of Kashmir, Srinagar, India</text>
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                <text>C32; Current account deficit; E62; Exchange rate; F32; F41; Fiscal deficit; India; Nonlinear ARDL; TodaYamamoto test; Twin Deficit Hypothesis</text>
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                <text>Susobhanan, Abhimanyu; Paladi, Avinash Kumar; Desmecht, Ra; Amarnath; Bagchi, Manjari; Chakraborty, Manoneeta; Chowdhury, Shaswata; Das, Suruj Jyoti; Deb, Debabrata; Desai, Shantanu; Dwivedi, Churchil; Grover, Himanshu; Jose, Jibin; Joshi, Bhal Chandra; Kala, Shubham; Kareem, Fazal; Meena, Kuldeep; Mondal, Sushovan; Nobleson, K.; Pandian, B Arul; Rai, Kaustubh; Shukla, Adya; Singh, Manpreet; Srivastava, Aman; Surnis, Mayuresh; Tahbildar, Hemanga; Takahashi, Keitaro; Tarafdar, Pratik; Vara, Kunjal; Vyasraj, Vaishnavi; Zuraiq, Zenia</text>
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                <text>&lt;a href="https://doi.org/10.1093/mnras/stag444" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1093/mnras/stag444&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105036690637?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105036690637?origin=resultslist&lt;/a&gt;</text>
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                <text>Susobhanan A., MaxPlanckInstitut f Gravitationsphysik (AlbertEinsteinInstitut), Liebniz Universit Hannover, Callinstra 38, Hannover, D-30167, Germany, School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram, Maruthamala P.O., Kerala, Thiruvananthapuram, 695551, India; Paladi A.K., MaxPlanckInstitut f Gravitationsphysik (AlbertEinsteinInstitut), Liebniz Universit Hannover, Callinstra 38, Hannover, D-30167, Germany, Department of Physics, Indian Institute of Science, C. V. Raman Avenue, Karnataka, Bengaluru, 560012, India; Desmecht R., MaxPlanckInstitut f Gravitationsphysik (AlbertEinsteinInstitut), Liebniz Universit Hannover, Callinstra 38, Hannover, D-30167, Germany, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, B-1050, Belgium; Amarnath, Raman Research Institute, Karnataka, Bengaluru, 560080, India; Bagchi M., The Institute of Mathematical Sciences, C. I. T. Campus, Taramani, Tamil Nadu, Chennai, 600113, India, Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Maharashtra, Mumbai, 400094, India; Chakraborty M., Department of Astronomy, Astrophysics, and Space Engineering, Indian Institute of Technology Indore, Madhya Pradesh, Indore, 453552, India; Chowdhury S., The Institute of Mathematical Sciences, C. I. T. Campus, Taramani, Tamil Nadu, Chennai, 600113, India; Das S.J., Particle Theory and Cosmology Group, Center for Theoretical Physics of the Universe, Institute for Basic Science, Daejeon, 34126, South Korea; Deb D., Centre for Space Research, NorthWest University, Private Bag X6001, Potchefstroom, 2520, South Africa; Desai S., Department of Physics, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India; Dwivedi C., Astronomy and Astrophysics Division, Physical Research Laboratory, Thaltej Campus, Gujarat, Ahmedabad, 380059, India; Grover H., Department of Physics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India; Jose J., Department of Astronomy, Astrophysics, and Space Engineering, Indian Institute of Technology Indore, Madhya Pradesh, Indore, 453552, India; Joshi B.C., Department of Physics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India, National Centre for Radio Astrophysics, Savitribhai Phule Pune University Campus, Maharashtra, Pune, 411007, India; Kala S., The Institute of Mathematical Sciences, C. I. T. Campus, Taramani, Tamil Nadu, Chennai, 600113, India; Kareem F., MaxPlanckInstitut f Radioastronomie, Auf dem Hel 69, Bonn, D-53121, Germany; Meena K., UM  DAE Centre for Excellence in Basic Sciences, University of Mumbai, Vidyanagari, Maharashtra, Mumbai, 400098, India; Mondal S., The Institute of Mathematical Sciences, C. I. T. Campus, Taramani, Tamil Nadu, Chennai, 600113, India, Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Maharashtra, Mumbai, 400094, India; Nobleson K., Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan; Pandian B.A., Raman Research Institute, Karnataka, Bengaluru, 560080, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Rai K., Department of Physics, Indian Institute of Science Education and Research Bhopal, Madhya Pradesh, Bhopal, 462066, India; Shukla A., Department of Physics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India; Singh M., Department of Physical Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Punjab, Mohali, 140306, India; Srivastava A., Department of Physics, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India, Department of Physics, GLA University, Uttar Pradesh, Mathura, 281406, India; Surnis M., Department of Physics, Indian Institute of Science Education and Research Bhopal, Madhya Pradesh, Bhopal, 462066, India; Tahbildar H., Department of Physics, Indian Institute of Science Education and Research Bhopal, Madhya Pradesh, Bhopal, 462066, India; Takahashi K., Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan; Tarafdar P., INAF  Osservatorio Astronomico di Cagliari, via della Scienza 5, CA, Selargius, 09047, Italy; Vara K., Department of Physics, Indian Institute of Science Education and Research Bhopal, Madhya Pradesh, Bhopal, 462066, India; Vyasraj V., Department of Physics, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India; Zuraiq Z., Department of Physics, Indian Institute of Science, C. V. Raman Avenue, Karnataka, Bengaluru, 560012, India</text>
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                <text>In the wideband paradigm of pulsar timing, the time of arrival of a pulsar pulse is measured simultaneously with the corresponding dispersion measure from a frequency-resolved integrated pulse profile. We present a new method for performing wideband measurements that rigorously accounts for measurement noise. We demonstrate this method using observations of PSR J2124?3358 made as part of the Indian Pulsar Timing Array experiment using the upgraded Giant Metre-wave Radio Telescope, and show that our method produces more realistic measurement uncertainty estimates compared to the existing wideband measurement method.  The Author(s) 2026. Published by Oxford University Press on behalf of Royal Astronomical Society.</text>
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                <text>Educational equity, school transformation, and policy and practice alignment are crucial in the evolution of educational systems. It requires an all-encompassing comprehension that transcends historical contexts, technological impacts, and conceptual frameworks to address students' varied requirements and eliminate inequalities. Acknowledging educational equity as a moral imperative underscores the ethical obligation of stakeholders. School transformation necessitates the presence of forward-thinking administrators, the active involvement of stakeholders, and a comprehensive reassessment. A cohesive approach to equity requires the utilization of robust frameworks, ongoing professional development, and continuous assessment to align policy and practice. Overcoming obstacles requires confronting opposition, capitalizing on technological advancements, deriving lessons from past failures, and establishing the foundation for a future characterized by greater inclusivity.  2024, IGI Global. All rights reserved.</text>
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                <text>Exploring Educational Equity at the Intersection of Policy and Practice, pp. 195-211.</text>
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                <text>Singha S., Kristu Jayanti College (Autonomous), India; Singha R., Christ University, India; Ruben V.M., Christ University, India</text>
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                <text>This chapter presents an all-encompassing strategy for combating digital fatigue in second language acquisition (SLA). It examines digital exhaustion's symptoms, causes, and psychological effects, emphasizing the need for healthy digital practices. Excessive use of technology, such as language applications and social media, can exacerbate exhaustion and necessitate self-care and stress management. Learners should prioritize their well-being by engaging in self-reflection, relaxation, and non-language activities, including mindfulness and meditation. Instructors are essential for fostering supportive environments incorporating feedback and a development mindset. Peer participation fosters community and reduces fatigue. This comprehensive strategy engages learners, instructors, parents, and peers to ensure a successful SLA journey in the digital age, with well-being at its core.  2023, IGI Global.</text>
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                <text>Perspectives on Digital Burnout in Second Language Acquisition, pp. 222-247.</text>
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                <text>Revocable and Secure Multi-Authority Attribute-Encryption Scheme</text>
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                <text>Access policy; Elliptic curve cryptography; Lagrange interpolation; Multi-Authority CP-ABE; Revocation</text>
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                <text>Security is an important factor as nowadays many systems generates and process huge amount of data. This also leads many of us to rely on a third-party service provider for storing sensitive and confidential data. Providing outsourcing means the data owner will encrypt and store the data in a third-party storage system. In this paper, we are proving solutions for two main problems. The first issue is what if the attribute authority itself can access the data because the attributes and secret keys are known by attribute. This issue is called the key escrow problem. For solving it we are proposing a multi-authority system with Elliptic Curve Cryptography. The second issue that we addressed in this paper is the revocation problem, which means when someone leaves the system should be prohibited from accessing subsequent data this is called forward security and as a second case when someone joins the system should be prevented from accessing previous shared date this is called backward security. In this paper, we address both forward and backward security. For solving this problem we are using the concept of the Lagrange interpolation technique for generating and verifying secret keys. Based on this technique secret key will be dynamically altered and used for encryption and due to this can achieve greater security.  2023, Ismail Saritas. All rights reserved.</text>
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                <text>Krishna A.V.N.; Ancy P.R.</text>
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                <text>International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 6, pp. 52-58.</text>
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                <text>Prashanth K.P., Department of Mechanical Engineering, Acharya Institute of Technology, Bangalore, 560107, India; Rudresh M., Department of Robotics and Artificial Intelligence, Dayananda Sagar College of Engineering, Bangalore, 560111, India; Venkatesh N., Department of Mechanical Engineering, University of Visvesvaraya College of Engineering, Bangalore, 560001, India; Shivarathri P.G., Department of Chemistry, New Horizon College of Engineering, Bangalore, 560103, India; Rajappa S., Department of Sciences and Humanities, Christ (Deemed to be University), Bangalore, 560074, India</text>
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                <text>Dang T.T.T., International School of Business (ISB), UEH University, Ho Chi Minh City, Viet Nam; Hoang T.G., International School of Business (ISB), UEH University, Ho Chi Minh City, Viet Nam; Majo A.M., Marian College, Kuttikkanam, India; Pandey P., School of Commerce, Finance and Accountancy, Christ University, Pune, India; Binh A.D.T., CIRTech Institute, HUTECH University, Ho Chi Minh City, Viet Nam</text>
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                <text>It integrates AI into learning environments, which is transforming the conventional and online learning environment by coming up with something groundbreaking in the way of a personalized virtual tutor known as ChatGPT. The chapter looks into how ChatGPT uses the sophisticated natural language processing to present tailormade learning experiences to suit the different preferences, paces, and requirements of individual students. The instant explanations, feedback, and support on diverse subjects increase the engagement, motivation, and ultimate educational success of the students. The chapter also presents practical insights on technical integration, data security, and ethical considerations to ensure accountable use. It emphasizes the importance of combining AI with human oversight in creating balanced educational solutions. Through many examples and case studies, it demonstrates how ChatGPT is capable of connecting old learning methods with modern e- learning, thereby encouraging stakeholders to consider AI for greater personalization and transformation in education.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Thomas A.A., CHRIST (Deemed to be University), Delhi NCR Campus, India; Baby R., Christ University, Bangalore, India; Davidson B.G.J., University of the Fraser Valley, Canada; George J.P., CHRIST (Deemed to be University), Bannerghatta Campus, India</text>
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                <text>The rapid evolution of artificial intelligence (AI) and educational technology (EdTech) tools is significantly transforming teaching and learning processes across the globe. This chapter seeks to critically examine the impact of Al-driven platforms and digi-tal learning tools on educational outcomes, learner engagement, and pedagogicalpractices. By exploring empirical evidence, theoretical frameworks, and real-world implementations, this chapter aims to provide a comprehensive understanding of how Al and EdTech tools are reshaping personalized learning, assessment, student support, and teacher facilitation. Particular emphasis will be given to the effectiveness of these tools in diverse educational contexts, including challenges related to accessibility, ethical considerations, and the digital divide. The chapter will also present recommendations for integrating Al and EdTech in ways that are pedagog-ically sound, inclusive, and outcome-focused.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>The pursuit of universal and high-quality healthcare services is a fundamental obligation of any responsible state, yet India faces persistent challenges in achieving this goal despite governmental efforts and policies. Notably, the 65th World Health Assembly emphasized universal health coverage (UHC) as pivotal for global public health advancement. Addressing this, a 2010 high-level expert group identified impediments in UHC implementation, highlighting issues such as health financing, infrastructure, skilled human resources, and access to medicines. This study focuses on exploring telemedicine's potential to mitigate these challenges and become instrumental in realizing universal health coverage in India. It aims to scrutinize government plans, critically assess policies on telemedicine implementation, and propose effective integration models, particularly in rural areas, to facilitate UHC. Additionally, the research aims to examine the role of AI, ML, deep learning, and neutral networks within telemedicine, envisaging their contribution to augmenting telemedicine's efficacy towards achieving universal health coverage in India.  2024, IGI Global. All rights reserved.</text>
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                <text>Upreti K., Christ University, India; Malik K., Christ University, India; Kapoor A., Maharaja Surajmal Institute of Technology, India; Patel N., Christ University, India; Tiwari P., Christ University, India</text>
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