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                <text>A comparison of algorithms for controller replacement in software defined networking</text>
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                <text>Controller placement; Greedy-SA algorithm; K-Critical algorithm; Latency; Network partition; SDN controller; Software Defined Net-working (SDN)</text>
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                <text>Software Defined Network (SDN) partitions the control plane and the information plane to decrease the cost and for increasing the capacity for upgrading, and this will be helpful for the network administrators to manage the network services. It's the location where the controller exists. One of the main issue in Software Defined Networking is the location of the controllers as this could affect network execution and cost. In this paper, we have done an analysis on some algorithms that have been used for minimizing the number of controllers to reduce the latency, delay, etc. while placing a controller with the consideration of communication among the controller and the nodes.  2018 Authors.</text>
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                <text>Anitson T.T.; Vinod S.</text>
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                <text>International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 1-4.</text>
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                <text>Anitson T.T., Department of Computer Science, Christ University, Bengaluru, India; Vinod S., Department of Computer Science, Christ University, Bengaluru, India</text>
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                <text>A comparison of distressed and non distressed married couples on marital quality emotional intelligence and conflict resolution styles  </text>
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                <text>Aim: To compare and study the marital quality, emotional intelligence newlineand conflict resolution styles of distressed and non-distressed married couples; and to examine the interrelationships between these variables. Method: The study utilized a cross sectional, between group, mixed method research design. The sample consisted of 43 heterosexual married couples (N=86) in non-clinical settings, in the age range of 20-60 years, living in Bangalore, who met the inclusion and exclusion criteria, were newlinerecruited through purposive/ snowball sampling. The participants were administered a demographic data sheet, the Marital Quality Scale (Shah, 1995), the Emotional Intelligence Scale (Schutte, Malouff, Hall, newlineHaggerty, Cooper, and Golden, 1998), the Conflict Resolution Scale (Kurdek, 1994) and a Semi-structured Interview Schedule for qualitative data (prepared by the researcher). Quantitative and Qualitative analysis was carried out. The MQS cutoff score of 80 was used to divide the sample into distressed and nondistressed couples. newlineResults: The two groups significantly differed on the conflict resolution styles. A significant relationship was found between marital quality and conflict resolution styles of distressed as well as non distressed group. There was a significant positive relationship between withdrawal as a newlineconflict resolution style and marital quality among distressed wives. Correlations between marital quality and conflict resolution styles among non-distressed couples showed that withdrawal had a significant positive newlinerelationship with the marital quality of the husband. From the correlation between the emotional intelligence and conflict resolution styles of distressed couples, compliance had a significant positive relationship with the wife s emotional intelligence. Among non-distressed wives conflict engagement was negatively correlated and positive problem solving was positively correlated with their emotional intelligence.</text>
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                <text>Sheena, Mathew.</text>
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                <text>Anant, Shalini.</text>
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                <text>A comparison of distressed and non distressed married couples on marital quality emotional intelligence and conflict resolution styles  /</text>
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                <text>Aim: To compare and study the marital quality, emotional intelligence and conflict resolution styles of distressed and non-distressed married couples; and to examine the interrelationships between these variables. Method: The study utilized a cross sectional, between group, mixed method research design. The sample consisted of 43 heterosexual married couples (N=86) in non-clinical settings, in the age range of 20-60 years, living in Bangalore, who met the inclusion and exclusion criteria, were&#13;
recruited through purposive/ snowball sampling. The participants were administered a demographic data sheet, the Marital Quality Scale (Shah, 1995), the Emotional Intelligence Scale (Schutte, Malouff, Hall, Haggerty, Cooper, &amp; Golden, 1998), the Conflict Resolution Scale (Kurdek, 1994) and a Semi-structured Interview Schedule for qualitative data (prepared by the researcher). Quantitative and Qualitative analysis was carried out. The MQS cutoff score of 80 was used to divide the sample into distressed and nondistressed couples. Results: The two groups significantly differed on the conflict resolution styles. A significant relationship was found between marital quality and conflict resolution styles of distressed as well as non distressed group. There was a significant positive relationship between withdrawal as a&#13;
conflict resolution style and marital quality among distressed wives. Correlations between marital quality and conflict resolution styles among non-distressed couples showed that withdrawal had a significant positive relationship with the marital quality of the husband. From the correlation between the emotional intelligence and conflict resolution styles of&#13;
distressed couples, compliance had a significant positive relationship with the wife’s emotional intelligence. Among non-distressed wives conflictxii engagement was negatively correlated and positive problem solving was positively correlated with their emotional intelligence. Through the thematic analysis, multiple themes were identified as factors that are fundamental for a happy and long-term marriage and at the same time reveal the factors that can be detrimental to a successful marital&#13;
relationship. These themes, including the importance of emotional intelligence in marital quality and ways of conflict resolution were classified. The study has implications for clinical practice and marital research. The study findings can be used by counsellors and therapists in helping distressed couples, and for premarital counselling work with individuals and dating couples to improve the chances of their marital quality. The primary limitation of the study was its small sample size that limits the&#13;
ability to generalize the findings of the study. For future research a larger sample size can be considered to study the influence and impact in depth. The variables can be studied in different cultures to understand the cultural differences.</text>
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                <text>Mathew, Sheena - 0944202</text>
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                <text>A comparison of in vitro cytotoxicity of undoped and doped surface modified CaS nanoparticles</text>
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                <text>In the present study we compare the cytotoxicity of undoped and doped surface modified CaS nanoparticles synthesized by wet chemical co-precipitation technique using L929 human fibroblasts cell lines. The toxicity was determined by evaluating the cell viability and changes in cell morphology. In addition, the half-maximal inhibitory concentration (IC50) values for all the samples were also compared. This analysis shows that undoped and terbium doped TEOA capped CaS nanoparticles are more biocompatible and will be better candidates for various applications in the biomedical field.  2021 Elsevier B.V.</text>
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                <text>Rekha S.; Maya S.S.; Anila E.I.</text>
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                <text>Materials Letters, Vol-311</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matlet.2021.131578" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matlet.2021.131578&lt;/a&gt;
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                <text>To assist users in identifying the right book, recommendation systems are crucial to e-commerce websites. Methodologies that recommend data can lead to the collection of irrelevant data, thus losing the ability to attract users and complete their work in a swift and consistent manner. Using the proposed method, information can be used to offer useful information to the user to help enable him or her to make informed decisions. Training, feedback, management, reporting, and configuration are all included. Our research evaluated user-based collaborative filtering (UBCF) and estimated the performance of similarity measures (distance) in recommending books, music, and goods. Several years have passed since recommendation systems were first developed. Many people struggle with figuring out what book to read next. When students do not have a solid understanding of a topic, it can be difficult determining which textbook or reference they should read.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Cloud computing is one the emerging technology which provides all the necessary resources required for day to day operations of an organization in a virtual environment. It is also known as green computing as it reduces the physical existence of the hardware resources. Health is being considered as a basic right for an individual. Even though there are advancements in the healthcare sector of India when compared to earlier stages, there is still a need for betterment in this sector. In order to make progress in this field, constant learning and better economic standards are needed. This paper provides a comparative view of the progress made by India in the healthcare sector after the introduction of two major technologies such as cloud computing and big data.  2017 IEEE.</text>
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                <text>The COVID-19 pandemic has spread quickly throughout the world, posing a serious threat to human-to-human transmission. The novel coronavirus pandemic is described quantitatively in this paper using a mathematical model of COVID-19 driven by a system of ordinary differential equations. The suggested model is used to provide predictions regarding the behavior of a COVID-19 outbreak over a shorter time frame. It is demonstrated that the system of model equations has a unique and existing solution. Furthermore, the answer is positive and bounded. Thus, it is argued that the model created and discussed in this work is both mathematically and biologically sound. A threshold parameter that controls the disease transmission is used in a qualitative analysis of the model to confirm the existence and stability of disease-free and endemic equilibrium points. Additionally, the key parameters undergo sensitivity analysis to ascertain their relative significance and potential influence on the COVID-19 virus dynamics.  2024 NSP Natural Sciences Publishing Cor.</text>
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                <text>Batu G.B., Department of Mathematics, Natural Science College, Arsi University, Asella, Ethiopia; Gurmu E.D., Department of Applied Mathematics, Natural Science College, Adama Science and Technology University, Adama, Ethiopia; Veeresha P., Department of Mathematics, Natural Science College, CHRIST (Deemed to be University, Bengaluru, 560029, India; Ahmed M.H., Department of Civil Engineering, Faculty of Engineering and Quantity Surviving, INTI International University Colleges, Nilai, Malaysia</text>
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                <text>A Compatible Hexadecimal Encryption-Booster Algorithm for Augmenting Security in the Advanced Encryption Standard</text>
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                <text>AES enhancement; content hide; hide content; hide encrypted data; hide encryption content; hide storage utilization</text>
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                <text>Among the most prominent encryption algorithms, Advanced Encryption Standard ranks first. Even so, many familiar characters can be seen when an AES encrypted file is opened. As of today, there have been very few contributions to research on suppressing known characters in AES encrypted files. It is possible to identify encrypted files not only by their name and content, but also by their size. As a result, hackers can identify files at source and target locations by comparing their sizes. In this paper, a methodology is presented to address these two research gaps. As a result of the proposed algorithm, almost all characters are transformed into an unintelligible format not only for humans, but also for computer interpreters. As an additional benefit, the proposed method makes the encrypted file appear smaller and conceals its actual size. The proposed Encryption Booster algorithm is also easily integrated with Advanced Encryption Standard.   2023 IEEE.</text>
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                <text>Shaik V.; Natarajan K.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174683188&amp;amp;doi=10.1109%2FInC457730.2023.10262922&amp;amp;partnerID=40&amp;amp;md5=04dc6f52e7f2a3a918ebb5443f20a09e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174683188&amp;amp;doi=10.1109%2fInC457730.2023.10262922&amp;amp;partnerID=40&amp;amp;md5=04dc6f52e7f2a3a918ebb5443f20a09e&lt;/a&gt;</text>
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                <text>Shaik V., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Karnataka, India; Natarajan K., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Karnataka, India</text>
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                <text>A compilation of interstellar column densities</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="139571">
                <text>dust, extinction; ISM: abundances; ISM: clouds</text>
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                <text>We have collated absorption line data toward 3008 stars in order to create a unified database of interstellar column densities. These data have been taken from a number of different published sources and include many different species and ionizations. The preliminary results from our analysis show a tight relation [N(H)/E(B - V)= 6.1210 21] between N(H) and E(B - V). Similar plots have been obtained with many different species, and their correlations along with the correlation coefficients are presented.  2012 The American Astronomical Society. All rights reserved.</text>
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                <text>Astrophysical Journal, Supplement Series, Vol-199, No. 1</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857885778&amp;amp;doi=10.1088%2F0067-0049%2F199%2F1%2F8&amp;amp;partnerID=40&amp;amp;md5=5d0c3049f7210027057cf1b9660b975c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857885778&amp;amp;doi=10.1088%2f0067-0049%2f199%2f1%2f8&amp;amp;partnerID=40&amp;amp;md5=5d0c3049f7210027057cf1b9660b975c&lt;/a&gt;</text>
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              <elementText elementTextId="139577">
                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 670049</text>
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                <text>Gudennavar S.B., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Bubbly S.G., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Preethi K., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Murthy J., Indian Institute of Astrophysics, Bangalore 560 034, Karnataka, II Block, Koramangala, India</text>
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                <text>A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors</text>
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                <text>Deep learning; Distance metric learning; Kernel PCA; Pedestrian detection; Person re-identification; Spatial descriptor; Video surveillance</text>
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                <text>Person re-identification is a challenging problem in computer vision. Lots of research interest is observed in this area over the past few years. A model for complete person re-identification can prove useful in this direction. Use of convolutional neural networks for pedestrian detection can improve the accuracy of detection to a larger extent. Deriving a descriptor which is invariant to the changes in the illumination, background and the pose can make the difference in the re-identification process. The predominant part of our work focuses on building a robust descriptor which can tackle such challenges. We have concentrated on building a descriptor by employing appearance-based features extracted both at local and global levels. Further, the dimensionality of the descriptor is reduced using kernel PCA. Distance metric learning algorithms are used to evaluate the descriptor on three major benchmark datasets. We propose a complete person re-identification system which involves both pedestrian detection and person re-identification. Major contributions of this work are to detect pedestrians from surveillance videos using CNN-based learning and to generate a kernel-PCA-based spatial descriptor and evaluate the descriptor using known distance metric learning methods on benchmark datasets.  2018, Springer-Verlag London Ltd., part of Springer Nature.</text>
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                <text>Sathish P.K.; Balaji S.</text>
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                <text>International Journal of Multimedia Information Retrieval, Vol-7, No. 4, pp. 221-229.</text>
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                <text>ISSN: 21926611</text>
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                <text>Sathish P.K., Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India; Balaji S., Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India</text>
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                <text>A Component Selection Framework of Cohesion and Coupling Metrics</text>
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                <text>cohesion metric; complexity component; Component-based software system; coupling metric; interface module density</text>
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                <text>Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This cohesion measurement has been taken into two parameters for analyzing the result of complexity, with the help of low cohesion and high cohesion. In coupling measures between the component of inside parameters and outside parameters. The final process of coupling and cohesion, the measured values were used for the average calculation of components parameter. This paper measures the complexity of direct and indirect interaction among the component as well as the proposed algorithm selecting the optimal component for the repository. The better result is observed for high cohesion and low coupling in component-based software engineering.  2022 CRL Publishing. All rights reserved.</text>
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                <text>Iyyappan M.; Kumar A.; Ahmad S.; Jha S.; Alouffi B.; Alharbi A.</text>
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                <text>Computer Systems Science and Engineering, Vol-44, No. 1, pp. 351-365.</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>Iyyappan M., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Kumar A., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Ahmad S., Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia; Jha S., School of Sciences, Christ (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India; Alouffi B., Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alharbi A., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia</text>
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                <text>A Comprehensive Analysis of Digital Technologies for Climate Change</text>
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                <text>Studies in Big Data;Volume;177;pp.23-32</text>
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                <text>Anjali P.K., Department of Economics, Christ University, Bengaluru, India; Sreerekha S., Magma Communication, Kinfra IT Park, Kakkanchery, Chelari, India; Vinitha K., District Planning Office, Kottayam, India</text>
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                <text>This study examines how digital technologies can help us to solve climate change through mitigation and adaptation. Through a literature review of the evolution of digital technologies from simple communication applications to artificial intelligence tools, this analysis identifies urgent applications needed at each stage of technological development and critiques their utility in climate action. The findings point out that the digital technologies have the potential to play a large role in combating climate change, but implementation faces challenges that need to be addressed through coordinated action internationally. The research concludes that by integrating approach that are combining of technological innovation and suitable policy frameworks presents climate action's most auspicious path forward.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Adaptation; AI; Climate change; Digital technology; Mitigation</text>
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                <text>ISSN: 21976503;</text>
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                <text>Mukherjee, Ranit; Natarajan, Arul Kumar</text>
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              <elementText elementTextId="269218">
                <text>Lecture Notes in Electrical Engineering;Volume;1269;pp.407-424</text>
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                <text>Mukherjee R., Christ University, Bengaluru, India; Natarajan A.K., Samarkand International University of Technology, Samarkand, Uzbekistan</text>
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                <text>This research comprehensively explores the intricate relationship between social media, demographic factors, socioeconomic status, and online shopping behavior. It investigates how various elements, such as brand, quality, price, and reviews, intersect to influence consumers virtual shopping experiences. Recognizing the diversity among consumer populations, the study considers demographic traits like age, gender, and socioeconomic status. It identifies a research gap concerning the moderating effects of these factors on virtual shopping behavior and the influence of different advertisement sources. The research proposes a methodology involving machine learning approaches to address these gaps. Using a dataset collected from 331 respondents in Kolkata, the study employs statistical tests and machine learning models to analyze the correlations and predict online shopping behavior. The results underscore the importance of understanding consumer behavior in the evolving e-commerce landscape. Logistic Regression emerges as the most accurate algorithm for predicting online shopping decisions. Additionally, the research investigates the reasons limiting consumers use of online shopping platforms, providing practical insights for tailored marketing strategies. These findings empower businesses to adapt their marketing strategies to the evolving landscape of consumer behavior. Overall, the study enhances our understanding of the multifaceted variables shaping customers decisions in online marketplaces.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>A comprehensive analysis of various structural parameters of Indian coals with the aid of advanced analytical tools</text>
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                <text>An exhaustive structural analysis was carried out on three Indian coals (ranging from sub-bituminous to high volatile bituminous coal) using a range of advanced characterization tools. Detailed investigations were carried out using UVVisible spectroscopy, X-ray diffraction, scanning electron microscopy coupled energy dispersive spectroscopy, Raman spectroscopy and Fourier transform infrared spectroscopy. The X-ray and Raman peaks were deconvoluted and analyzed in details. Coal crystallites possess turbostratic structure, whose crystallite diameter and height increase with rank. The H/C ratio plotted against aromaticity exhibited a decreasing trend, confirming the graphitization of coal upon leaching. It is also found that, with the increase of coal rank, the dependency of I20/I26 on La is saturated, due to the increase in average size of sp2 nanoclusters. In Raman spectra, the observed G peak (1585cm?1) and the D2 band arises from graphitic lattices. In IR spectrum, two distinct peaks at 2850 and 2920cm?1 are attributed to the symmetric and asymmetric CH2 stretching vibrations. The intense peak at ~1620cm?1, is either attributed to the aromatic ring stretching of C=C nucleus.  2016, The Author(s).</text>
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                <text>International Journal of Coal Science and Technology, Vol-3, No. 2, pp. 123-132.</text>
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                <text>Manoj B., Department of Physics, Christ University, Bangalore, 560027, Karnataka, India</text>
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                <text>Jyrwa J.J.R., Department of Computer Science, Christ University, Bengaluru, 560029, India; Jayaraman C., Department of Computer Science, Christ University, Bengaluru, 560029, India; Joseph A., Department of Computer Science, Christ University, Bengaluru, 560029, India</text>
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                <text>Computational thinking (CT) is a cognitive approach for solving problems using the concepts of algorithmic thinking, decomposition of a problem into components, identifying patterns among commonly occurring activities, and abstraction. CT promotes interdisciplinary learning and enhances problem-solving and logical reasoning abilities. In this study, a comprehensive analysis of the current issues and challenges of applying CT in the educational landscape is presented with a focus on the various assessment tools and their implementation in teaching methods. The study identifies the various techniques that can be used by educators to evaluate the skills of students based on their ability to solve problems that require CT. A systematic review of the available literature and related works was conducted to analyze their importance in CT, as well as their issues and challenges. This study finds that there is a need for a unified definition and implementation guidelines on CT. The available assessment tools mainly focus on programming constructs, leaving little room for evaluating abstract concepts as challenges in the field; hence, designing and developing assessment mechanisms are also required for effective implementation of CT in an academic context.  2025 by the authors.</text>
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                <text>Jevoor, Susmita; Girish, V.; Chandan, N.; Umamaheswari, D.; Gondkar, Raju Ramakrishna</text>
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                <text>Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025;</text>
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                <text>Jevoor S., Christ (Deemed to be University), Dept. Computer Science, Bangalore, India; Girish V., Christ (Deemed to be University), Dept. Computer Science, Bangalore, India; Chandan N., Christ (Deemed to be University), Dept. Computer Science, Bangalore, India; Umamaheswari D., Christ (Deemed to be University), Dept. Computer Science, Bangalore, India; Gondkar R.R., Christ (Deemed to be University), Dept. Computer Science, Bangalore, India</text>
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                <text>Plant diseases have a strong impact on agricultural productivity due to economic factors and a reduction in crop quality. This work focuses on the classification of apple leaves into four classes: healthy, rust-infected, scab-infected, and infected by both diseases, using the Plant Pathology FGVC7-2020 dataset that contains 3,642 images in total. The work involves the analysis of three sophisticated deep learning architectures: ResNet50, MobileNet and InceptionV3.It turned out that MobileN et showed the highest performance, reaching a 92% accuracy rate; it was followed by ResNet50 with 75% accuracy and InceptionV3 at 73%, hence underlining its better generalization capability and efficiency in classifying. We discuss the proposed methodology, which includes data preprocessing techniques, experimental results and final conclusions, is discussed in detail. These results underline the fundamental importance of determining an appropriate neural network architecture for the recognition of plant diseases, which is of prime importance to improve agricultural productivity.  2025 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Cognitive Psychology; Consumer Behaviour; Health and fitness applications; heath valuation; hedonic motivation; machine learning algorithms; Management of Technology &amp;amp; Innovation; Marketing; Production, Operations &amp;amp; Information Management; smart PLS-SEM; utilitarian motivation</text>
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                <text>This research developed a theoretical framework based on the uses and gratification theory to investigate the intention to continue usage of Health and Fitness Apps (HFAs). In addition, this study explored how health valuation moderates the relationship between determinants and users intention to continue usage. A total of 447 HFA users data was collected from Delhi NCR, India through a purposive sampling technique. Partial least square-structure equation modeling was used to test the role of potential predictors influencing users behavioral intention to continue. The machine learning algorithms were employed to identify the features of importance. The results revealed that system quality, networkability, recordability, and task technology fit have a positive influence on hedonic motivation and utilitarian motivation. While information quality influences hedonic motivation but does not affect utilitarian motivation. Health valuation positively moderates the relationship between information quality, system quality, and networkability to intention to continue usage. We also observed that hedonic motivation emerged as a key predictor of users intention to continue usage of HFAs. The results would possibly offer useful recommendations for HFA developers, marketers, and health policymakers. The quality of fitness apps should be the primary concern of app developers. Furthermore, gamification can be incorporated into HFAs as it may influence the users hedonic motivations. The research contributes by developing a uses and gratification theory tailored for the HFAs. Additionally, this research incorporates hedonic and utilitarian motivation as mediating variables and health valuation as a moderator.  2024 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Sharma V.; Payal R.; Dutta K.; Poulose J.; Kapse M.</text>
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                <text>Cogent Business and Management, Vol-11, No. 1</text>
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