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                <text>Khanna A.; Gupta D.; Anand S.; Jaiswal A.; Bhattacharyya S.; Hassanien A.E.</text>
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                <text>Advances in Intelligent Systems and Computing, Vol-1165, pp. xi-xiii.</text>
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                <text>Khanna A., Maharaja Agrasen Institute of Technology, Rohini, Delhi, India; Gupta D., Maharaja Agrasen Institute of Technology, Rohini, Delhi, India; Anand S., Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Rohini, Delhi, India; Jaiswal A., Maharaja Agrasen Institute of Technology, Rohini, Delhi, India; Bhattacharyya S., CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Hassanien A.E., Department of Information Technology, Faculty of Computers and Information, Cairo University, Giza, Egypt</text>
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                <text>A First Report of Docosahexaenoic Acid-Clocked Polymer Enveloped Gold Nanoparticles: A Way to Precision Breast Cancer and Triple Negative Breast Cancer Therapy and Its Apoptosis Induction</text>
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                <text>apoptosis; breast cancer; docosahexaenoic acid; drug delivery; gold nanoparticles</text>
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                <text>Functionalized gold nanoparticles (GNPs) are extensively utilized in various disciplines due to their excellent bioactivity, biocompatibility, and extended drug half-life, influenced by the ligands and size that are changed on surfaces. In this study, we successfully fabricated GNPs coated with ligands containing docosahexaenoic acid (DHA) and polyethylene glycol (PEG) clocked by a carboxyl group. These nanoparticles are referred to as MPA@GNPs-PEG-DHA. The cytotoxicity results demonstrate that MPA@GNPs-PEG-DHA exhibits superior cell selectivity, explicitly inhibiting the proliferation of breast cancerous cells than noncancerous cell lines. Apoptosis is involved in the reduction of cell proliferation by MPA@GNPs-PEG-DHA, as demonstrated clearly through many assays measuring apoptotic index, including AO/EB staining, DAPI, annexin V-FITC staining, mitochondrial membrane potential (MMP), and reactive oxygen species (ROS) measurement. The efficacy of MPA@GNPs-PEG-DHA in inducing apoptosis was demonstrated by its inhibition of mitochondrial dysfunction by ROS. MPA@GNPs-PEG-DHA has the potential to improve the induction of apoptosis in breast cancerous cells.  2024 Wiley Periodicals LLC.</text>
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                <text>&lt;a href="https://doi.org/10.1002/app.56505" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/app.56505&lt;/a&gt;
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                <text>ISSN: 218995; CODEN: JAPNA</text>
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                <text>Khanna L., Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Pinjore, India; Ballal S., Department of Chemistry and Biochemistry, JAIN (Deemed-to-be University), Karnataka, Bangalore, India; Awasthi K.K., Department of Sciences, Vivekananda Global University, Jaipur, India; Singh D., Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Alahmadi T.A., Department of Pediatrics, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, Riyadh, Saudi Arabia; Abudoleh S.M., Faculty of Pharmacy, Middle East University, Amman, Jordan; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Creating inclusive spaces in virtual classroom sessions during the COVID pandemic: An exploratory study of primary class teachers in India</text>
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                <text>COVID-19; Inclusive education; India; Online teaching; Pedagogies; Teaching and learning</text>
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                <text>The research paper reports insights into the primary class teachers experiences and inclusive methodologies in India during virtual class sessions. Teaching online during the COVID pandemic has turned out to be an adaptive and transformative challenge for teachers. Though Indian teachers are used to the chalk-and-talk method, an online setup has compelled them to discover innovative strategies to maintain an inclusive classroom. It was found that teachers are using puppetry, storytelling, energizers, ice-breakers in their sessions to make it engaging. An in-depth study was undertaken to understand the experiences of five primary class teachers from private schools in India. Data thus collected were analyzed qualitatively. The study results demonstrated that the teachers had improved professionally they have become independent in using the internet and exploring new ways of teaching them per their needs. Nevertheless, it was also found that the schools lack support, fear among the teachers of being asked to quit the job, blocking students from the online class if they fail to pay the fees, and exorbitant salary cuts. The challenges related to young students were - lack of proper resources for online sessions, low attention span, technical distractions, lack of physical development, excessive interference of the parents and lack of socialization. The paper concludes with policy proposals regarding standardized online education platforms and provisions for proper resources for virtual class sessions to marginalized families to minimize India's digital divide.  2021</text>
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                <text>Khanna R.; Kareem D.J.</text>
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                <text>International Journal of Educational Research Open, Vol-2</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.ijedro.2021.100038" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijedro.2021.100038&lt;/a&gt;
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                <text>ISSN: 26663740</text>
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                <text>Khanna R., School of Education, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Kareem D.J., School of Education, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India</text>
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                <text>Voicing Out Parental Experiences of Schooling Their Children with Learning Disabilities: A Qualitative Study of Inclusive Government Schools of India</text>
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                <text>The paper shone light on the lived experiences of parents of children with learning disabilities. The specific objective was to understand the challenges, experiences and aspirations of parents for their children. A phenomenological study was adopted for the study so as to focus on the experiences of the parents. Participants were parents (female- 17 and male- 3) of children in primary classes, who were identified through purposive sampling from government schools of Delhi, NCR from 3 underdeveloped areas of Delhi - Nangloi, Mangolpuri and Ranhaula. The data was collected by semi-structured interviews and later thematically analyzed. The findings were on the basis of the past and present experiences and further their future aspirations for the children. They revealed that the parents faced challenges with applying and issuance of the UDID certificates, but with the collaborative efforts of the special educator and the parents along with various support systems that are provided by the school their experiences became positive. It was also brought to light that the mother was the main caregiver in most of the cases. All the parents were worried, what will happen to their children if they are not there with them. They aspired that the students will be financially independent and have a safe future ahead of them. They dream of a society where all the students are equal in an inclusive environment.  The Author(s) 2025.</text>
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                <text>inclusive education; India; qualitative research; role of special education teachers; special education teachers</text>
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                <text>The role of special education teachers (SETs) is multifaceted. A gap was recognised in the literature in the lack of studies on the roles and responsibilities of SETs in India and the field realities of carrying out the role. The aim was to explore to what extent the special education teachers fulfil their roles and responsibilities. The following is an exploratory study, using open-ended questions that interviewed 12 SETs from five public schools in Delhi, India. The policy documents shared that the SETs were responsible for direct instruction to special needs students, parentteacher collaboration and documentation, including IEPs for students with special needs. But in practice, there were not any clear-cut boundaries, the SETs played multiple rolesSubject teacher, taking substitution periods, para teachers, these were keeping the SETs away from their core responsibilities. The results of the study demonstrated an undervaluation of the work of SETs and lack of support from the principal and regular teachers. The results concluded with recommendations for policy proposal with regards to defining the role of all stakeholders in an inclusive education school and improvements for the teacher education program.  2024 National Association for Special Educational Needs.</text>
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                <text>ISSN: 2682141</text>
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                <text>Khanna R., School of Education, CHRIST (Deemed to be University), Bangalore, India; Kareem J., School of Education, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Household waste management policy and practices in bengaluru</text>
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                <text>Cleanliness; Garrett's ranking method; Households; Waste management policy development</text>
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                <text>Households play a very important role in waste management policy development and its implementation in any city. This study is done among households of 12 wards in Urban Bengaluru(India). It is observed that waste management is open of the most important issue among households and households in general are not satisfied by waste collection, segregation its transport service and maintenance of public places, provided by local municipal body. Garrett's ranking method is also used to give ranking for various waste management practices adopted by various wards. The results suggest that problems faced by households across the city is not same, also perception towards the policy and practices of local bodies towards waste management differs significantly across the city. Cleanliness of public places and waste collection process should be given highest priority by the policy makers. The study also determines a different perspective towards understanding behaviour of household. the policymakers may use this technique to identify specific geographic areas where immediate action is required.  BEIESP.</text>
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                <text>International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 5059-5066.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22773878</text>
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                <text>Khanna S., School of Business studies and Social sciences, CHRIST (Deemed to be University), Bengaluru, India; Bhargava A., School of Business studies and Social sciences, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Successful footprints of ChatGPT deployments in the education sector: Pros outweigh cons by embracing ethics and etiquette</text>
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                <text>Artificial intelligence (AI) is essential in all aspects of life. One crucial area to examine is the integration of artificial intelligence in education. The true essence is in providing individuals with the necessary knowledge, skills, and values needed to have a fulfilling and meaningful life. Education must adapt to equip students with essential abilities to navigate life's challenges while upholding integrity in a dynamic world. Artificial intelligence (AI), shown by technologies such as ChatGPT, exhibits significant promise in educational environments. This chapter explores personalized learning enabled by artificial intelligence (AI). Furthermore, intelligent tutoring systems are also analyzed. The text delves into various facets of the educational system where ChatGPT might offer help. Additionally, offering explanations for the prohibition of Chat GPT in many countries and educational institutions. The discussion has focused on how AI affects the socio-economic gap in the education sector.  2024, IGI Global. All rights reserved.</text>
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                <text>Revolutionizing the Service Industry With OpenAI Models, pp. 219-242.</text>
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                <text>This study creates a framework by looking into various research on customer acceptance of new selfservice technologies and internet purchasing behaviour systems. According to this research, customers' attitudes towards online purchasing are initially influenced by the direct impacts of relevant characteristics of online shopping. These characteristics include functional, utilitarian characteristics and usefulness, emotional and hedonic characteristics. It looks at the technology acceptance theory (TAM) established by David in 1989 and the theory of reasoned action (TRA) to understand factors determining the attitudes of users towards online shopping for users using technology. It also provides conceptual models by using the brand image of the online platform, past experiences of buyers, information related to the product, convenience of the shoppers and trust of the customers towards online shopping.  2024, IGI Global. All rights reserved.</text>
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                <text>There has been a recent deep learning revolution in Computer Vision and Natural Language Processing. One of the biggest reasons for this has been the availability of large-scale datasets to pre-train on. One can argue that the Time Series domain has been left out of the aforementioned revolution. The lack of large scale pretrained models could be one of the reasons for this.While there have been prior experiments using pre-trained models for time series forecasting, the scale of the dataset has been relatively small. One of the few time series problems with large scale data available for pre-training is the financial domain. Therefore, this paper takes advantage of this and pretrains a ID CNN using a dataset of 728 US Stock Daily Closing Price Data in total, 2,533,901 rows. Then, we fine-tune and evaluate a dataset of the NIFTY 200 stocks' Closing Prices, in total 166,379 rows. Our results show a 32% improvement in RMSE and a 36% improvement in convergence speed when compared to a baseline non pre trained model.   2023 IEEE.</text>
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                <text>Khanna V.; Joshua J.; Pramila R.M.</text>
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                <text>2023 2nd International Conference for Innovation in Technology, INOCON 2023</text>
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                <text>Khanna V., Christ (Deemed to Be University)Lavasa, Department of Data Science, Maharashtra, Pune, India; Joshua J., Christ (Deemed to Be University)Lavasa, Department of Data Science, Maharashtra, Pune, India; Pramila R.M., Christ (Deemed to Be University)Lavasa, Department of Data Science, Maharashtra, Pune, India</text>
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                <text>Khanna, Akanksha; Thomas, Mary Rani</text>
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                <text>OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA</text>
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                <text>Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.1-21</text>
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                <text>Khanna A., Department of Management, Symbiosis International University, Dubai, United Arab Emirates; Thomas M.R., School of Commerce, Finance and Accountancy, Central Campus, CHRIST University, Karnataka, India</text>
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                <text>innovations, and their implications for talent management and organizational success. Design/methodology/approach: This chapter guides the shaping of future research agendas by converting qualitative analysis into empirical and quantitative analysis, laying the foundation for integrating the concepts of OQ and DQ within the proposed conceptual framework to retain talent in the digital era. The current chapter follows a narrative review approach to synthesize the existing literature. Findings: The current chapter highlights the role of OQ and DQ in the digital era, as well as their key elements, which will empower various stakeholders with actionable insights. It offers valuable insights as a benchmark for strategic decision-making for meaningful work that would result in effective organizational development (ODV). Introduction: In todays workplace culture, organizations, and HR professionals have a strong case for embracing diversity and inclusion (D&amp;amp;I) to enhance talent management. Occupational intelligence (OQ), when linked with diversity intelligence (DQ), can pave the way for effective individual development and organizational success. When integrated with the expanding use of artificial intelligence (AI), the synergy between these two carries the potential for creating future-ready workplaces. Purpose: Several studies highlight the role of emotional, social, cultural, and workplace intelligence and their impact on occupational success. There has been a conspicuous absence of studies that unravel the evolution of OQ and the future scope of integration with DQ in the digitalized world, which needs attention. Scope: The study would deepen the understanding of the evolving landscape of OQ and DQ, as well as industry trends and Individual chapters  2026 The authors.</text>
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                <text>attitudes; neurodiversity; Occupational intelligence; diversity intelligence; performance management; talent management; knowledge; skills</text>
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                <text>Khanna, Lalit; Ballal, Suhas; Awasthi, Kumud Kant; Singh, Dhiraj; Chinnathambi, Arunachalam; Alahmadi, Tahani Awad; Abudoleh, Suha Mujahed; Thangavelu, Indumathi</text>
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                <text>The role of special education teachers (SETs) is multifaceted. A gap was recognised in the literature in the lack of studies on the roles and responsibilities of SETs in India and the field realities of carrying out the role. The aim was to explore to what extent the special education teachers fulfil their roles and responsibilities. The following is an exploratory study, using open-ended questions that interviewed 12 SETs from five public schools in Delhi, India. The policy documents shared that the SETs were responsible for direct instruction to special needs students, parentteacher collaboration and documentation, including IEPs for students with special needs. But in practice, there were not any clear-cut boundaries, the SETs played multiple rolesSubject teacher, taking substitution periods, para teachers, these were keeping the SETs away from their core responsibilities. The results of the study demonstrated an undervaluation of the work of SETs and lack of support from the principal and regular teachers. The results concluded with recommendations for policy proposal with regards to defining the role of all stakeholders in an inclusive education school and improvements for the teacher education program.  2024 National Association for Special Educational Needs.</text>
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                <text>Khanna R., School of Education, CHRIST (Deemed to be University), Bangalore, India; Kareem J., School of Education, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>The paper shone light on the lived experiences of parents of children with learning disabilities. The specific objective was to understand the challenges, experiences and aspirations of parents for their children. A phenomenological study was adopted for the study so as to focus on the experiences of the parents. Participants were parents (female- 17 and male- 3) of children in primary classes, who were identified through purposive sampling from government schools of Delhi, NCR from 3 underdeveloped areas of Delhi - Nangloi, Mangolpuri and Ranhaula. The data was collected by semi-structured interviews and later thematically analyzed. The findings were on the basis of the past and present experiences and further their future aspirations for the children. They revealed that the parents faced challenges with applying and issuance of the UDID certificates, but with the collaborative efforts of the special educator and the parents along with various support systems that are provided by the school their experiences became positive. It was also brought to light that the mother was the main caregiver in most of the cases. All the parents were worried, what will happen to their children if they are not there with them. They aspired that the students will be financially independent and have a safe future ahead of them. They dream of a society where all the students are equal in an inclusive environment.  The Author(s) 2025.</text>
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                <text>International Journal of Research in Commerce &amp; Management Vol.4, No.03, pp.134-136 ISSN No. 0976-2183</text>
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                <text>Implication of big data in hospitality with special reference to ecoresorts in Karnataka</text>
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                <text>Digital Disruption in Hospitality, Sustainable Hospitality: A Global Perspective on People, Planet, and Profit;pp.167-186</text>
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                <text>Khanna S., Christ University, India; Tulasi B., Christ University, India; Nagarjuna G., Christ University, India; Sarkar B., Christ University, India</text>
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                <text>Big data with its velocity has revolutionized several industries, and the hospitality industry is no exception. Operational efficiency and services of ecoresorts can always be improved with customer reviews, and big data provide unprecedented opportunities toimplement it. Socialmedia has alwaysbeen instrumental in capturing customer feedback and understanding booking patterns. On this note, it has been aimed to understand the visitors' sentiment and to identify satisfactory indicators for this business. In this scholarly work, Tripadvisor website has been adopted as the collection platform. A total of 15 resorts with 7,235 reviews have been considered for the same. It has been intended to capture up-to-date data available till April 2024. The five-stage model has been considered for the smooth execution of the analysis which includesweb scraping for data extraction, data pre-processing, data storage, sentiment analysis, and understanding key insights. More specifically, with the help of Natural Language Processing (NLP), text analytics was executed to understand customers' sentiments. In total,150 high-frequencywords have been captured.The outcome of the study also revealed nine satisfactory indicators and those are "Variety of Experiences"; "Quality of Accommodation"; "Quality of Food"; "Cleanliness of the Resort"; "Level of Service by Staff"; "Service Staff were Helpful"; "Natural Environment of the Resort"; "Safety and Security;" and "Good Opportunities to enjoy local Cuisine".  2025 Shivi Khanna, Tulasi B., Nagarjuna G. and Bidisha Sarkar. All rights reserved.</text>
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                <text>The Context-Driven Software Development (CDSD) is a novel software development approach with an ability to thrive upon challenges of 21st century digital and disruptive technologies by using its innovative practices and implementation prowess. CDSD is a coherent set of multidisciplinary innovative and best practices like context-aware and self-adaptive system modelling, human-computer interaction, quality engineering, software development-testing-and continuous deployment frameworks, open-source tools-technology-and end-to-end automation, software governance, engaging stakeholders, adaptive solutioning, design thinking, and group creativity. Implementation prowess of CDSD approach stems from its three unique characteristics, namely, its principles, Contextualize-Build-Validate-Evolve (CBVE) product development element, and iterative and lean CDSD life cycle with Profiling, Contextualizing, Modelling, Transforming, and Deploying phases with in-process and phase-end Governance and Compliances. CDSD approach helps to address issues like complexity, software ageing, risks related to internal and external ecosystem, user diversity, and process-related issues including cost, documentation, and delay.  2021, Springer Nature Switzerland AG.</text>
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                <text>A study on the perception of MOOC (Massive Open Online Course) amongst the students of Christ University, Bengaluru /</text>
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                <text>Massive open online courses (MOOC) are a recent innovation in the field of online learning. Several top-tier universities around the world have started offering MOOC programmes in a wide array of professional, technical as well as creative fields. Top MOOC providers such as Coursera, Udacity and edX have a student fellowship from all across the world, pursuing one or more from the thousands of courses offered by these MOOC giants.</text>
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                <text>Kharsodiya K., Department of Biosciences, School of Liberal Arts and Science, Mody University of Science and Technology, Rajasthan, Lakshmangarh, 332311, India; Das K.P., Department of Computer Science, School of Science, Christ University, Karnataka, Bengaluru, 560029, India; Dhingra H.K., Department of Biosciences, School of Liberal Arts and Science, Mody University of Science and Technology, Rajasthan, Lakshmangarh, 332311, India</text>
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                <text>Microbial-associated vaginal infections are common among women of reproductive age and are linked to alterations in the local immune environment. Inflammatory biomarkers such as IL-6, IL-?, and TNF-?, along with vaginal pH have emerged as potential indicators of microbial dysbiosis. This study aimed to statistically evaluate the ability of these specific inflammatory cytokines and vaginal pH to identify infection status. Cytokine concentrations and vaginal pH were measured in clinically characterized samples. The group differences were analyzed using Mann-Whitney U tests and Cliff's Delta for effect size. ROC-AUC analysis was also performed to assess the discriminative power, and correlation heatmaps explored marker synergy. The infected individuals showed increased levels of all cytokines (p &amp;lt; 0.001), with large effect size (? &amp;gt; 0.9 for IL-6, IL-1?, TNF-?). Vaginal pH also differed significantly (? = 0.60). In addition, the combination of IL-6 and vaginal pH achieved excellent discriminative performance (AUC = 0.98). These findings suggest that IL-6, IL-1?, and TNF-?, when combined with vaginal pH, can function as reliable non-invasive biomarkers for the early detection and improved diagnostic triaging of vaginal microbial infections.  2024</text>
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                <text>Bacterial vaginosis; Inflammatory biomarkers; Vaginal microbial infections</text>
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                <text>Elsevier B.V.</text>
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                <text>Khatija, Liya; Vinoth, Dalvin; Kavitha, R.</text>
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                <text>Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN;Issue;2025;pp.217-221</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICRCICN68210.2025.11365012" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN68210.2025.11365012&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035365805?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035365805?origin=resultslist&lt;/a&gt;</text>
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                <text>Khatija L., Christ (Deemed-to-be University), Bengaluru, India; Vinoth D., Christ (Deemed-to-be University), Bengaluru, India; Kavitha R., Christ (Deemed-to-be University), Bengaluru, India</text>
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                <text>Demand forecasting is a key part of running operations efficiently in the fast-changing retail and online shopping industries. Regular methods that use statistics often have trouble handling the complex, changing, and time-based patterns found in actual sales data. This study introduces a new way to predict demand that uses multivariate Long Short-Term Memory (LSTM) models. The models take both the order of sales over time and other factors like prices and weather into account. Three model designs were tested: a simple straightforward model, a pure LSTM model, and a new hybrid LSTM model that mixes time-based data with steady economic factors. The combined hybrid model worked the best, by successfully balancing learning from sequences with keeping things stable. The study did experiments to see what would happen if weather conditions changed, like extreme heat, cold, storms, or dry spells and compared normal forecasts with these changed scenarios to see how demand would shift for products and overall sales. The results show that this new framework not only makes better predictions but also gives useful information on how weather events can affect store sales. By linking prediction with 'what if' analysis, this research moves demand forecasting from just predicting what will happen to helping make better decisions.  2025 IEEE.</text>
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                <text>counterfactual analysis; Demand forecasting; multivariate LSTM; retail time series; weather-aware forecasting</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Quantum Convolutional Neural Network for Medical Image Classification: A Hybrid Model</text>
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                <text>This study explores the application of Quantum Convolutional Neural Networks (QCNNs) in the realm of image classification, particularly focusing on datasets with a highly reduced number of features. We investigate the potential quantum computing holds in processing and classifying image data efficiently, even with limited feature availability. This research investigates QCNNs' application within a highly constrained feature environment, using chest X-ray images to distinguish between normal and pneumonia cases. Our findings demonstrate QCNNs' utility in classifying images from the dataset with drastically reduced feature dimensions, highlighting QCNNs' robustness and their promising future in machine learning and computer vision. Additionally, this study sheds light on the scalability of QCNNs and their adaptability across various training-test splits, emphasizing their potential to enhance computational efficiency in machine learning tasks. This suggests a possibility of paradigm shift in how we approach data-intensive challenges in the era of quantum computing. We are looking into quantum paradigms like Quantum Support Vector Machine (QSVM) going forward so that we can explore trade offs effectiveness of different classical and quantum computing techniques.   2024 IEEE.</text>
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                <text>Khatoniar R.; Vyas V.; Acharya V.; Saxena A.; Saxena A.; Neiwal R.; Korgaonkar K.</text>
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                <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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                <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545121" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545121&lt;/a&gt;
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                <text>ISBN: 979-835038427-7</text>
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                <text>Khatoniar R., Bits Pilani, Csis Department, K K Birla Goa Campus Goa, India; Vyas V., C-DAC Pune, Pune, India; Acharya V., Bits Pilani, Csis Department, K K Birla Goa Campus Goa, India; Saxena A., Christ University, Bengaluru, India; Saxena A., C-DAC Pune, Pune, India; Neiwal R., MeitY (Delhi), Delhi, India; Korgaonkar K., Bits Pilani, Csis Department, K K Birla Goa Campus Goa, India</text>
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