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                <text>A study on paired-domination and independent

domination in relation with domination in graphs</text>
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                <text>Pious Femlin</text>
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                <text>Sexual Function and Sexual Satisfaction among Non-Working Married Women in Bengaluru  </text>
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                <text>Background: Sexual function and satisfaction are two important components of the sexual health of women. Both are influenced by various external and internal factors over their life cycle. This study aims to explore the factors of sexual function and newlinesatisfaction among non-working married women in Bengaluru using an exploratory newlinesequential research study and highlighting the implications for social work practices. newlineMaterials and Methods: The study has two phases. The first phase was a qualitative newlineexploratory research study that adopted an inductive thematic data analysis. In-depth newlinequalitative interviews were conducted with 11 non-working working married women. The interviews were audio recorded and the transcribed data were analyzed with ATLAS.ti software. The results were presented thematically. The second phase was a newlinecross-sectional survey of 180 non-working married women. The data were collected newlinethrough semi-structured interviews with the Female Sexual Function Index, the New newlineSexual Satisfaction scale, the Psychological Distress Scale, the Subjective Happiness newlinescale, and questions related to socio-demographic details, and health. Descriptive and inferential statistics were carried out and multiple regression analyses were conducted with jamovi v2.3. to find the predictors of both sexual function and satisfaction. Results: In the qualitative phase various factors of sexual function and satisfaction were explored and organized into three global themes. They are Somatic and personal factors, Factors related to the mind, and Situational and extrinsic factors. The quantitative study found that physical, psychological, couples characteristics-related, family, and socio-cultural factors together predict a 17.3% variance in sexual function and a 78.6% variance in sexual satisfaction of women. Conclusion: The study could find positive and negative factors of sexual function and satisfaction.</text>
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                <text>Pious, Anu Anns</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>C, Amaresha</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/575081" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/575081&lt;/a&gt;</text>
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                <text>Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches</text>
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          <element elementId="49">
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                <text>ant lion optimization; feature selection; genetic algorithm; Infant mortality; multi objective optimization</text>
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                <text>The rate of infant mortality (IMR) in a population under one year of age is a marker for infant mortality. It is a major sensitive marker of a community's overall physical health. Protecting the lives of newborns has become a challenging issue in public health, development programs, and humanitarian initiatives. Almost 10.1% infants died in the United States of America (USA) in 2021. Therefore, this paper aims to extract and understand the various influential factors causing infant deaths in the USA. A crowding distance-based multi-objective ant lion optimization (MOALO-CD) is proposed here with statistical evidence for feature selection. The proposed technique is compared with competitive metaheuristic models such as multi-objective genetic algorithm based on crowding distance (MOGA-CD), multi-objective filter approaches, and recursive feature elimination. Various machine learning classifiers are applied to the selected feature subset obtained from MOALO-CD on the USA's infant dataset. Extensive experimental results indicate that the proposed model outperforms the existing metaheuristic approaches in terms of Generational Distance, Inverted Generational Distance, Spread, and Hyper volume. Also, the comparative analysis of various machine learning models reveals that random forest achieves significantly better performance on the feature subset obtained from MOALO-CD.   2013 IEEE.</text>
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                <text>Piri J.; Mohapatra P.; Singh D.; Samanta D.; Singh D.; Kaur M.; Lee H.-N.</text>
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                <text>IEEE Access, Vol-10, pp. 32622-32638.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ACCESS.2022.3161154" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCESS.2022.3161154&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127058988&amp;amp;doi=10.1109%2FACCESS.2022.3161154&amp;amp;partnerID=40&amp;amp;md5=e56d237d01d7354a2877ee6279ced0e9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127058988&amp;amp;doi=10.1109%2fACCESS.2022.3161154&amp;amp;partnerID=40&amp;amp;md5=e56d237d01d7354a2877ee6279ced0e9&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 21693536</text>
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                <text>Piri J., Department of Cse, International Institute of Information Technology, Odisha, Bhubaneswar, 751029, India; Mohapatra P., Department of Cse, International Institute of Information Technology, Odisha, Bhubaneswar, 751029, India; Singh D., Department of Computer Application, Institute of Technical Education and Research (ITER), Siksha 'o' Anusandhan (SOA) Deemed to Be University, Odisha, Bhubaneswar, 751030, India; Samanta D., Department of Computer Science, Christ University, Karnataka, Bangalore, 560029, India; Singh D., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea; Kaur M., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea; Lee H.-N., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea</text>
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                <text>An efficient ZnO and Ag/ZnO honeycomb nanosheets for catalytic green one-pot synthesis of coumarins through Knoevenagel condensation and antibacterial activity</text>
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                <text>catalyst; coumarins; green chemistry; Knoevenagel condensation; silver doped zinc oxide (Ag/ZnO)</text>
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                <text>This study pioneers the synthesis of porous Ag/ZnO nanosheets, focusing on their role as a catalyst in Knoevenagel condensation. Notably, these nanosheets display exceptional catalytic efficacy and captivating antibacterial properties. The research delves into the Ag/ZnO catalyst's recyclability and proposes a potential reaction mechanism, marking the first comprehensive exploration of Knoevenagel condensation on porous Ag/ZnO nanosheets. Key findings underscore the successful synthesis of coumarin derivatives using various o-hydroxy benzaldehyde and 1,3-dicarbonyl compounds, with nano-Ag/ZnO serving as a catalyst via a monomode microwave-assisted approach. X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM), Transmission Electron Microscopy (TEM) and UV-Vis spectroscopy were used in conjunction with other physicochemical methods to characterize the synthesized catalytic samples. The method boasts advantages such as high product yields, brief reaction durations, and the ability to reuse the catalyst for multiple cycles. The Ag/ZnO nanosheets, functioning as an acid catalyst, activate carbonyl groups and facilitate their interaction with methylene-containing active molecules. In addition, antibacterial activity assessments demonstrate the superior effectiveness of Ag/ZnO nanocomposites compared to ZnO nanosheets against Staphylococcus aureus germs. This multifaceted study not only advances catalytic synthesis but also unveils promising biological applications of porous Ag/ZnO nanosheets.   2024 Walter de Gruyter GmbH, Berlin/Boston 2024.</text>
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                <text>Pn P.K.; Ks P.; H Pattanashetty S.; Bc V.K.; Kv A.A.; Abraham A.L.; Varghese F.; Bahir A.A.</text>
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                <text>Zeitschrift fur Physikalische Chemie</text>
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                <text>Walter de Gruyter GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1515/zpch-2024-0607" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1515/zpch-2024-0607&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194410151&amp;amp;doi=10.1515%2Fzpch-2024-0607&amp;amp;partnerID=40&amp;amp;md5=9f95a3b62bda2a6f4641cde9db5ebd80" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194410151&amp;amp;doi=10.1515%2fzpch-2024-0607&amp;amp;partnerID=40&amp;amp;md5=9f95a3b62bda2a6f4641cde9db5ebd80&lt;/a&gt;</text>
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                <text>ISSN: 9429352; CODEN: ZPCFA</text>
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                <text>This research delves into how OTT platforms are transforming media consumption patterns and explores the role of consumer ethnocentrism in shaping buying behaviors within this context. Through a literature review and quantitative research methodology using a Likert-scale questionnaire, the study investigates the relationship between consumer ethnocentrism, buying intentions, and various influencing factors on OTT platforms. Contrary to expectations, the findings show that consumer ethnocentrism has minimal impact on buying behavior. Instead, factors such as price, content variety, personalized recommendations, cultural alignment, ease of platform usage, familiarity with foreign content, and language preferences are crucial in determining viewers' buying intentions. The chapter concludes by recommending that OTT platforms integrate cultural sensitivities into their strategies to better cater to diverse viewer preferences, thereby enhancing market competitiveness and audience engagement.  2024, IGI Global.</text>
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                <text>Poddar P., School of Business and Management, Christ University, Bangalore, India; Anand K., School of Business and Management, Christ University, Bangalore, India; Babita B., School of Business and Management, Christ University, Bangalore, India</text>
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                <text>Research Initiative on Sustainable Education System: Model of Balancing Green Computing and ICT in Quality Education</text>
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                <text>Green computing; Hybrid mode of Education; ICT based teaching-learning; Sustainable Education</text>
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                <text>Green Computing Practices (GCP) convey the revolutionary changes of the modern education system. The education system is transforming into a hybrid mode of operations in effective teaching and learning procedure. In the modern era, computer devices are playing a foremost role in performing ICT based teaching and learning (ICT-BTL). The GCP and ICT-BTL are the creative and innovative practices that can ensure the eco-friendly enactment and safeguard from various harmful environmental impacts. The motive of projecting the present research outcome is to address the impact of GCP on ICT-BTL activities. The creative and innovative practices of ICT-BTL support the implementation of GCP towards a sustainable education system. A sustainable education system interconnects the teachers, learners, institutions, and industrial experts through eco-friendly electronic and computer devices that ensure maximum efficiency in education with minimum environmental impacts.  2022 IEEE.</text>
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                <text>Podder S.K.; Karuppiah M.; Thomas B.; Samanta D.</text>
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                <text>Podder S.K., Dayananda Sagar College Of Arts, Science And Commerce, Department Of Commerce And Management, Bangalore, India; Karuppiah M., Srm Institute Of Science And Technology, Delhi-NCR Campus, Department Of Computer Science And Engineering, Uttar Pradesh, Ghaziabad, 201204, India; Thomas B., Christ (Deemed To Be University), Department Of Computer Science And Engineering, Bangalore, India; Samanta D., Christ (Deemed To Be University), Department Of Computer Science, Bangalore, India</text>
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                <text>E-Development and Sustainable Management Education for Effective Leadership and Sustainable Society</text>
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                <text>Creativity; E-Development; Innovation; Interpersonal Skills; Leadership; Leadership Skills; Sustainability; Sustainable Management Education; Sustainable Society</text>
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                <text>Electronic development is the process of systematic evolution for mankind and society at large that ensures the overall progress of the electronic mode of learning, education, healthcare, society, and corporate governance. The main objective of the chapter was to address the impacts of e-development and sustainable management education for effective leadership that leads to constructing a sustainable society. The required data were collected both from primary and secondary sources. Primary data were collected from 120 respondents. The secondary data sources included official websites. The study is empirical and various statistical tools like mean, standard deviation, and t-test were executed for data analysis. The results of the research study were indicated the high degree and low degree of contribution from e-development and sustainable management education are not significant between effective leadership and sustainable society. E-development can be effective for creating a sustainable society with the goal setting of improving effective leadership skills. Copyright  2022, IGI Global.</text>
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                <text>Level of green computing based management practices for digital revolution and new india</text>
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                <text>The reality is staring us in the form of global warming, climate changes and air-quality degradation. This reality constitutes an increasing zone on the strategic front. These strategic changes need necessarily to be responded through employees of an organization. Against this backdrop, the Green Information Technology and Green HRM have emerged as a sequel to rapid degradation of our planet due to human activities. Therefore, incorporating the environmentally friendly practices through IT practices, recruitment, training and performance management functions constitute important components of Green IT and HRM. Green information technology is the revolutionary initiatives especially for human resources management practices that lead to digital life towards sustainable society. Keeping this practical and emergent context in view, the present study makes an attempt to develop a framework for assessing the level of green HRM practices actually prevailing in Indian organizations. The requisite data were collected from original sources and clarified with existing sources. The results of the study led to the inference that Information Technology and HRM practices of promoting individual performance needs fine-tuning because any green initiative has necessarily to be a collective exercise by all concerned.  BEIESP.</text>
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                <text>International Journal of Engineering and Advanced Technology, Vol-8, No. 3, pp. 133-136.</text>
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                <text>Podder S.K., Dayananda Sagar College of Arts, Science and Commerce, India; Samanta D., Department of Computer Science, CHRIST, Bangalore, India</text>
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                <text>Impact of blended education system on outcome-based learning and sector skills development</text>
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                <text>Blended Education System; Effective Education System; Outcome Based Learning; Sector Skill Development</text>
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                <text>An effective education system transforms the teaching and learning process into innovative idea generation and independent working ability. A blended education system is the representation of effective education that connects the teachers, students, and educational institutions for content development, delivery of effective teaching methods, and choice-based learning. The motive for initiating the research work was to address the demand for outcome-based learning in society that can fulfill the sector-wise human resource requirements and sector skill development. A blended education system helps to design effective courses and degrees with the capacity of choosing subjects, lectures, and teachers either in online or offline mode of education. The system may also assist in preparing the learning pattern like classroom-based learning, internship-based learning, or learning through project works. The researchers identified the dependent and independent variables with the help of expert opinion. The questionnaire was designed with all relevant questions based on the variables and refined through a pilot study. The research outcomes are described by understanding the nature of quantitative data using statistical tools like frequency distribution, t-test, and ANOVA test with the connectivity of qualitative data and the reality of social issues.  2023 IEEE.</text>
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                <text>Podder S.K.; Samanta D.; Thomas B.; Dutta S.; Bhattacharya A.</text>
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                <text>11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks, IEMECON 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Podder S.K., Dayananda Sagar College of Arts,Science and Commerce, Dept. of Commerce and Management, Karnataka, Bangalore, India; Samanta D., Rochester Institute of Technology, Rit Global Campus, Rit Kosovo (A.U.K), Dept. of Computing and Information Technologies, Kosovo, Europe, Prishtina, 10000, Serbia; Thomas B., Christ University, Dept. of Cse, Karnataka, Bangalore, India; Dutta S., Institute of Engineering &amp;amp; Management, Dept. of Computer Science &amp;amp; Applications, Kolkata, India; Bhattacharya A., Institute of Engineering &amp;amp; Management, Dept. of Computer Science &amp;amp; Applications, Kolkata, India</text>
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                <text>The future of business management with the power of distributed systems and computing</text>
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                <text>Blockchain; Business management; Cost; Distributed systems; Flexibility; Internet of things; Scalability</text>
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                <text>Distributed systems and computing have emerged as key technologies for businesses seeking to improve their operations, decision-making, and customer experience. In this chapter, we examine the potential of distributed systems and computing for the future of business management. We analyze the key characteristics and advantages of distributed systems and computing for business management, including improved scalability, flexibility, and availability, as well as increased efficiency and reduced costs. We also discuss the various applications of distributed systems and computing in business management, including inventory management, supply chain optimization, customer relationship management, financial management and accounting, data analytics, decision-making, and collaboration and communication. We also explore the emerging trends and technologies in distributed systems and computing, including edge computing, blockchain, and artificial intelligence, and their potential implications for the future of business management. Furthermore, we discuss the opportunities for research and innovation in the field of distributed systems and computing, including the development of new algorithms and protocols, the exploration of novel applications, and the investigation of the social and ethical implications of distributed systems and computing. In conclusion, distributed systems and computing offer a powerful set of tools for businesses seeking to enhance their performance and competitiveness in the digital age. However, the adoption of distributed systems and computing also entails a range of challenges and risks that must be addressed through careful planning and management. By embracing the potential of distributed systems and computing while also addressing its challenges, businesses can position themselves for success in the increasingly interconnected and digital world of the future.  2024 John Wiley &amp;amp; Sons Ltd. All rights reserved.</text>
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                <text>Meta-Heuristic Algorithms for Advanced Distributed Systems, pp. 1-20.</text>
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                <text>&lt;a href="https://doi.org/10.1002/9781394188093.ch1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/9781394188093.ch1&lt;/a&gt;
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                <text>Podile V., K. L. Business School, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India; Kulshrestha N., Christ (Deemed to be University), Bengaluru, Karnataka, India; Goswami S., Institute of Business Management, GLA University, Mathura, Uttar Pradesh, India; Durga L., Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh, India; Rachanasree B., Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh, India; Reddy T.P., Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh, India; Sarojini P.S., Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh, India</text>
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                <text>With MUSE, Chandra, VLA, ALMA, and UVIT data from the GASP program, we study the multiphase baryonic components in a jellyfish galaxy (JW100) with a stellar mass 3.2 1011 M o hosting an active galactic nucleus (AGN). We present its spectacular extraplanar tails of ionized and molecular gas, UV stellar light, and X-ray and radio continuum emission. This galaxy represents an excellent laboratory to study the interplay between different gas phases and star formation and the influence of gas stripping, gas heating, and AGNs. We analyze the physical origin of the emission at different wavelengths in the tail, in particular in situ star formation (related to H?, CO, and UV emission), synchrotron emission from relativistic electrons (producing the radio continuum), and heating of the stripped interstellar medium (ISM; responsible for the X-ray emission). We show the similarities and differences of the spatial distributions of ionized gas, molecular gas, and UV light and argue that the mismatch on small scales (1 kpc) is due to different stages of the star formation process. We present the relation H?-X-ray surface brightness, which is steeper for star-forming regions than for diffuse ionized gas regions with a high [O i]/H? ratio. We propose that ISM heating due to interaction with the intracluster medium (either for mixing, thermal conduction, or shocks) is responsible for the X-ray tail, observed [O i] excess, and lack of star formation in the northern part of the tail. We also report the tentative discovery in the tail of the most distant (and among the brightest) currently known ULX, a pointlike ultraluminous X-ray source commonly originating in a binary stellar system powered by either an intermediate-mass black hole or a magnetized neutron star.  2019. The American Astronomical Society. All rights reserved.</text>
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                <text>Poggianti B.M.; Ignesti A.; Gitti M.; Wolter A.; Brighenti F.; Biviano A.; George K.; Vulcani B.; Gullieuszik M.; Moretti A.; Paladino R.; Bettoni D.; Franchetto A.; JaffY.L.; Radovich M.; Roediger E.; Tomi?i? N.; Tonnesen S.; Bellhouse C.; Fritz J.; Omizzolo A.</text>
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                <text>Astrophysical Journal, Vol-887, No. 2</text>
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            <elementTextContainer>
              <elementText elementTextId="128258">
                <text>All Open Access; Bronze Open Access; Green Open Access</text>
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                <text>Poggianti B.M., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Ignesti A., Dipartimento di Fisica e Astronomia, Universita' di Bologna, via Gobetti 93/2, Bologna, I-40129, Italy, INAF, Istituto di Radioastronomia di Bologna, via Gobetti 101, Bologna, I-40129, Italy; Gitti M., Dipartimento di Fisica e Astronomia, Universita' di Bologna, via Gobetti 93/2, Bologna, I-40129, Italy, INAF, Istituto di Radioastronomia di Bologna, via Gobetti 101, Bologna, I-40129, Italy; Wolter A., INAF-Brera Astronomical Observatory, via Brera 28, Milano, I-20121, Italy; Brighenti F., Dipartimento di Fisica e Astronomia, Universita' di Bologna, via Gobetti 93/2, Bologna, I-40129, Italy, INAF, Istituto di Radioastronomia di Bologna, via Gobetti 101, Bologna, I-40129, Italy; Biviano A., INAF, Astronomical Observatory of Trieste, via Tiepolo 11, Trieste, I-34131, Italy; George K., Faculty of Physics, Ludwig-Maximilians-Universitat, Scheinerstr. 1, Munich, D-81679, Germany, Department of Physics, Christ University, Hosur Road, Bangalore, 560029, India, Indian Institute of Astrophysics, Koramangala II Block, Bangalore, India; Vulcani B., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Gullieuszik M., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Moretti A., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Paladino R., INAF-Istituto di Radioastronomia, via P. Gobetti 101, Bologna, I-40129, Italy; Bettoni D., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Franchetto A., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy, Dipartimento di Fisica e Astronomia, vicolo dell'Osservatorio 5, Padova, I-35136, Italy; JaffY.L., Instituto de Fisica y Astronomia, Universidad de Valparaiso, Avda. Gran Bretana 1111, Valparaiso, Chile; Radovich M., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Roediger E., E.A. Milne Centre for Astrophysics, Department of Physics and Mathematics, University of Hull, Hull, HU6 7RX, United Kingdom; Tomi?i? N., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy; Tonnesen S., Flatiron Institute, CCA, 162 5th Avenue, New York, 10010, NY, United States; Bellhouse C., University of Birmingham, School of Physics and Astronomy, Edgbaston, Birmingham, United Kingdom; Fritz J., Instituto de Radioastronomia y Astrofisica, UNAM, Campus Morelia, AP 3-72, CP 58089, Mexico; Omizzolo A., INAF-Padova Astronomical Observatory, Vicolo dell'Osservatorio 5, Padova, I-35122, Italy, Vatican Observatory, Vatican City, Vatican State, Italy</text>
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                <text>1,2-diazoles; aza-Michael addition; cyclic enones; N-cycloalkyl heterocycles; T3P-mediated</text>
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                <text>An efficient and mild protocol was realized using 1,2-diazoles and related heterocycles with cyclic and acyclic enones in presence of T3P (2,4,6-tripropyl-1,3,5,2,4,6-trioxatriphosphorinane-2,4,6-trioxide) toward the regioselective formation of N-cycloalkyl heterocycles at room temperature. The developed reaction conditions showcased good selectivity over a wide range of 1,2-diazoles and enones by delivering N-cycloalkyl heterocycles in excellent yields.  2020 Wiley Periodicals LLC.</text>
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                <text>Polina S.; Putta V.P.R.K.; Gujjarappa R.; Pujar P.P.; Malakar C.C.</text>
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                <text>Journal of Heterocyclic Chemistry, Vol-58, No. 4, pp. 1029-1033.</text>
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              <elementText elementTextId="118058">
                <text>Restricted Access</text>
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                <text>Polina S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Putta V.P.R.K., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Imphal, India; Pujar P.P., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Imphal, India</text>
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                <text>P(III)-Mediated Cascade C-N/C-S Bond Formation: A Protocol towards the Synthesis of N,S-Heterocycles and Spiro Compounds</text>
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                <text>Benzothiazin-4-ones; Cascade reaction; N,S-heterocycles; P(NMe&lt;sub&gt;2&lt;/sub&gt;)&lt;sub&gt;3&lt;/sub&gt;; Spiro compounds</text>
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                <text>A P(III)-mediated entry towards construction of C?N/C?S bond has been devised. The developed heterocyclization method was exercised for the synthesis of a diverse range of N,S-heterocycles and related spiro molecules. P(NMe2)3 revealed the maximum efficacies under the aerobic reaction conditions and a spectrum of bis-nucleophiles, and isothiocyanates were tolerated well to serve the access of manifold immense molecules. (Figure presented.).  2020 Wiley-VCH GmbH</text>
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                <text>Polina S.; Putta V.P.R.K.; Gujjarappa R.; Singh V.; Pujar P.P.; Malakar C.C.</text>
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              <elementText elementTextId="119209">
                <text>Advanced Synthesis and Catalysis, Vol-363, No. 2, pp. 431-445.</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="119210">
                <text>Wiley-VCH Verlag</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="119211">
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1002/adsc.202001149" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/adsc.202001149&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="119213">
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                <text>Heterocyclic building blocks have gained the utmost importance in recent past on the newlineaccount of their significance in biological and pharmaceutical fields. Among these newlinenitrogen and sulphur containing heterocyclic building blocks such as thiazines, newlinethiazinones and N-cycloalkyl heterocyclic motifs hold an important role in medicinal newlinechemistry. Thiazine cores are used for the treatment of various life threating diseases newlinelike cancer, cardiovascular and fabry diseases. Drugs containing thiazinone cores were used to treat Parkinson, Alzheimer s and various neuro degenerative diseases. Ncycloalkyl azole motifs are used to treat various life threating cancers like neck, lung, prostate, breast etc. As per the literature review, synthesis of these motifs are done using multi steps and harsh conditions, which limited the substrate scope. In this thesis we describe our studies on development of one pot, mild condition for newlinesynthesis of thiazinone cores using P(NMe2)3 (HMPT). We had developed HMPT [P(NMe2)3] mediated reactions towards synthesis of Carbon-Nitrogen/Carbon-Sulphur bond. The developed methodology was extended for thiazine cores as well. This new synthetic methodology is useful to synthesize various N, S-heterocycles including the novel spiro molecules. HMPT reagent under the mild and aerobic reaction conditions provided the access for many manifold immense molecules. Molecular docking studies were conducted for the synthesized compounds considering MOA-B inhibitors as target. MOA-B inhibitor motifs were approved for the treatment of Parkinson illness. The synthesized thiazine and thiazinone molecules showed good binding affinity in molecular docking studies conducted. We had developed a new strategy using T3P (1-Propanephosphonic anhydride, ~ 50 % wt, in EA solution) mediated synthetic procedure for the synthesis of N-cycloalkyl newlineazoles.</text>
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                <text>Nitrous oxide (N2O) in riverbeds affects hydrological processes by contributing to the greenhouse effect, indicating poor water quality, disrupting biogeochemical cycling, and linking to eutrophication. Elevated N2O levels signal environmental issues, impacting aquatic life and necessitating precise forecasting for effective environmental management and reduced greenhouse gas emissions. Precisely forecasting nitrous oxide (N2O) emissions from riverbeds is paramount for effective environmental management, given its significant potency as a greenhouse gas. This study focuses on the difficulties related to spatial feature extraction and modeling accuracy in predicting N2O in riverbeds in Tamil Nadu. To address the obstacles, the research suggests utilizing the Deep Learning Based Prediction of Nitrous Oxide Contaminants (DL-PNOC), which studies the N2O contaminants in water using Region-based Convolutional Neural Network (RCNN) for spatial feature extraction, to predict nitrous oxide contaminants. The study is centered on the Cauvery River Basin located in Tamil Nadu, where the emission of N2O is a matter of environment. The outcomes encompass the specialized N2O contaminant model for riverbeds and the implementation of RCNN achieves precise N2O forecasting. The DL-PNOC approach combines a contaminant model with RCNN deep learning techniques to capture spatial characteristics and predict N2O pollutants accurately. Furthermore, using the River Bed Dynamics Simulator reinforces the dependability of the findings. The DL-PNOC approach has exhibited encouraging results, as evidenced by the following metrics: a high IoU of 88.66%, precision of 88.96%, recall of 90.03%, F1 score of 89.22%, and low RMSE and MAE values of 9.14% and 7.59%, respectively. The findings highlight the efficacy of the DL-PNOC approach in precisely forecasting N2O pollutants in river sediments.  2024 Elsevier B.V.</text>
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                <text>Groundwater for Sustainable Development, Vol-26</text>
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                <text>Poluru R.K., Department of Information Technology, Institute of Aeronautical Engineering, Hyderabad, India; Sundararajan S., Business Management, Skyline University Nigeria, Kano State, Kano City, Nigeria; S V., Department of CSE, Rajalakshmi Engineering College, Chennai, India; Balakrishnan S., Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission's Research Foundation (Deemed to be University), Paiyanoor, Tamilnadu, Chennai, India; V S., Department of Computer Science, Periyar University, Salem, 11, India; Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Discovering the Micro-Clusters from a group of DHH learners: An approach using machine learning techniques</text>
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                <text>The e-learning environment is essentially helpful for improving the autonomous learning skills of the DHH learners. Facing numerous resources online, DHH learners need support to choose the right learning materials. This can be done by recommending suitable learning objects to similar types of learners. Hence, this research attempts to explore the possibilities of forming micro clusters from the group of DHH learners to improve the recommendation. As a result of k-means, three different micro clusters are formed. So, from the initial analysis, it is identified that the formation of micro clusters is possible, and features such as communication and learning ways play an important role in forming the well-defined micro clusters. This will definitely help the teachers in traditional classrooms and recommendation engines in e-learning to explore the micro clusters of learners with same learning patterns and communication preferences to appropriately stream the right pedagogical methods.  2024, IGI Global. All rights reserved.</text>
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                <text>Poly A.; Banu P.K.N.</text>
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                <text>Transforming Education for Personalized Learning, pp. 159-175.</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-0868-4.ch010" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-0868-4.ch010&lt;/a&gt;
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                <text>Poly A., Christ University (Deemed), India; Banu P.K.N., Christ University (Deemed), India</text>
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                <text>Unsupervised Learning for Understanding Diversity: Applying Feature Engineering and Cluster Analysis to Deaf and Hard of Hearing Data</text>
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                <text>DHH; feature engineering clustering; k-means; personalization</text>
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                <text>As e-Learning emerges as a promising tool for instruction delivery, personalizing the e-Learning platform for DHH learners will benefit them to improve their learning engagement and educational attainment. This study aims to collect and analyze the different features unique to DHH learners and analyze the significant features among them. This study highlights the importance of addressing the diversity among DHH learners, while creating a personalized learning environment for them. With this focus, we employ the K-Means clustering algorithm to group the learners based on similar needs and preferences and identified that distinguishing clusters can be formed within the DHH group. We also tried to understand the significant features contributing to forming well separated groups. These results provide valuable insights into the diverse preferences and requirements when they interact with the learning materials. These findings emphasize the significance of personalized approach for DHH learners in educational settings and serve as the stepping stone to develop a personalized learning environment for them.   2024 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835036102-5</text>
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                <text>Poly A., Christ (Deemed To Be University), Department of Computer Science, Bangalore, India; Banu P.K.N., Christ (Deemed To Be University), Department of Computer Science, Bangalore, India; Azar A.T., Prince Sultan University, College of Computer and Information Sciences, Riyadh, 11586, Saudi Arabia, Prince Sultan University, Automated Systems and Soft Computing Lab (ASSCL), Riyadh, Saudi Arabia, Benha University, Faculty of Computers and Artificial Intelligence, Benha, Egypt; Kamal N.A., Cairo University, Faculty of Engineering, Giza, Egypt</text>
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                <text>A Comprehensive Study on E-learning Environments for Deaf or Hard of Hearing Learners</text>
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                <text>adaptive e-learning; d/DHH; e-learning; machine learning; personalization</text>
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                <text>Quality education is the fundamental right of every individual regardless of the disabilities they have. For the Deaf or Hard of Hearing (d/DHH) people, e-learning is the most promising way to access the educational materials referred to as digital learning objects (LO) at any time and space which increase their autonomous learning skills. This form of instruction delivery was widely accepted during the outbreak of Covid-19. Hence a background study has been conducted to investigate the challenges in teaching the d/DHH learners during the pandemic. This research work aims at providing a personalized e-learning environment to the d/DHH student community belonging to St. Clare Oral Higher Secondary School for The Deaf, situated in Kerala. To build personalized systems, the primary step is to review the existing e-learning solutions available in the literature and the adaptation techniques implemented by them to offer personalization in line with the components of traditional adaptive e-learning systems. The study carried out in this paper illuminates the need of personalized e-learning platforms that adapt the basic needs, abilities and disabilities of deaf learners which will find the 'best learning solutions' in the form of learning objects.   2023 IEEE.</text>
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                <text>Poly A.; Nizar Banu P.K.</text>
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                <text>Proceedings of the ACCTHPA 2023 - Conference on Advanced Computing and Communication Technologies for High Performance Applications</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ACCTHPA57160.2023.10083367" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCTHPA57160.2023.10083367&lt;/a&gt;
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                <text>ISBN: 979-835039844-1</text>
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                <text>Poly A., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India; Nizar Banu P.K., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India</text>
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