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                <text>Secured personal health records using pattern-based verification and two-way polynomial protocol in cloud infrastructure</text>
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                <text>correctness; healthcare; patient health records; privacy; security; two-way polynomial</text>
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                <text>This present research proposes the digitalised healthcare system that enables patients to generate, aggregate and store in the form of personal health records (PHRs). This requires more attention on cost effectiveness and less response time on public cloud platform. The existing cloud platforms have failed to implement the systemic approach for immediate verification and correction models on increasing PHR datasets. The storage and computation are two prime factors. Moreover, cloud systems need more attention on security and privacy breaches. In this proposed model the publisher-observer pattern-based healthcare systems allow the patients to verify and correct the PHRs before any type of computations. The cloud system acts as a backend framework that offers openness and easy accessibility. The experimental segment ensures the computational cost and response time for multiple polynomial PHR variations. The details evaluation also ensures the security and privacy preservation on sensitive healthcare datasets. Copyright  2022 Inderscience Enterprises Ltd.</text>
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                <text>Indira D.N.V.S.L.S.; Abinaya R.; Chandanapalli S.B.; Vatambeti R.</text>
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                <text>International Journal of Ad Hoc and Ubiquitous Computing, Vol-40, No. 45717, pp. 139-147.</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJAHUC.2022.123535" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJAHUC.2022.123535&lt;/a&gt;
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                <text>ISSN: 17438225</text>
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                <text>Indira D.N.V.S.L.S., Department of Information Technology, Gudlavalleru Engineering College, AP, Gudlavalleru, 521356, India; Abinaya R., Department of Computer Science and Engineering, Gudlavalleru Engineering College, AP, Gudlavalleru, 521356, India; Chandanapalli S.B., Department of Information Technology, Gudlavalleru Engineering College, AP, Gudlavalleru, 521356, India; Vatambeti R., Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Aquila Optimizer Based Optimal Allocation of Soft Open Points for Multi-Objective Operation in Electric Vehicles Integrated Active Distribution Networks</text>
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                <text>Active distribution networks; Aquila optimizer; Electric vehicles; Loss reduction; Renewable energy; Soft open points; Voltage profile improvement</text>
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                <text>The appropriate position and sizing of soft open points (SOPs) for reducing the detrimental impact of electric vehicle (EV) load penetration and renewable energy (RE) variation on active distribution networks (ADNs) are provided in this study. Soft open points (SOPs) have been used to create a multi-objective framework that considers loss minimization and voltage profile enhancement. The non-linear multi-variable complicated SOP allocation problem is solved for the first time using a modern meta-heuristic Aquila optimizer (AO). The modified IEEE 33-bus benchmark and IEEE 69-bus ADNs are used in the simulations. Before SOPs, the average real power loss in IEEE 33-bus AND was 370.329 kW, but after SOPs, it was reduced to 259.356 kW (i.e., 29.96 percent reduction). Similarly, effective SOPs integration in the IEEE 69-bus resulted in a loss reduction of 81.07 percent. AO's computational efficiency is also compared to that of multiobjective particle swarm optimization (MOPSO), particle swarm optimization (PSO), and cuckoo search algorithm (CSA). The AO has produced better results in terms of lower losses, improved voltage profile despite variations in EV load penetration, and RE and load volatility in ADNs, according to the results  2022. International Journal of Intelligent Engineering and Systems.All Rights Reserved</text>
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                <text>Kumari C.H.N.; Inkollu S.R.; Patil R.; Janamala V.</text>
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                <text>International Journal of Intelligent Engineering and Systems, Vol-15, No. 4, pp. 269-278.</text>
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              <elementText elementTextId="111765">
                <text>Intelligent Network and Systems Society</text>
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                <text>&lt;a href="https://doi.org/10.22266/ijies2022.0831.25" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22266/ijies2022.0831.25&lt;/a&gt;
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                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 2185310X</text>
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                <text>Kumari C.H.N., Guru Nanak Institute of Technology, Telangana, Ibrahimpatnam, 501506, India; Inkollu S.R., Dhanekula Institute of Engineering &amp;amp; Technology, Andhra Pradesh, Vijayawada, 521139, India; Patil R., SVERIS College of Engineering, Maharashtra, Pamdharpur,Solarpur, 413304, India; Janamala V., Christ (Deemed to be University), Karnataka, Bangalore, 560074, India</text>
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                <text>Multi-layer Stacking-based Emotion Recognition using Data Fusion Strategy</text>
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                <text>Electroencephalograph (eeg); Emotion recognition; Feature selection; Linear regression based correlation coefficient; Machine learning techniques; Multi-layer stacking model</text>
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                <text>Electroencephalography (EEG), or brain waves, is a commonly utilized bio signal in emotion detection because it has been discovered that the data recorded from the brain seems to have a connection between motions and physiological effects. This paper is based on the feature selection strategy by using the data fusion technique from the same source of EEG Brainwave Dataset for Classification. The multi-layer Stacking Classifier with two different layers of machine learning techniques was introduced in this approach to concurrently learn the feature and distinguish the emotion of pure EEG signals states in positive, neutral and negative states. First layer of stacking includes the support vector classifier and Random Forest, and the second layer of stacking includes multilayer perceptron and Nu-support vector classifiers. Features are selected based on a Linear Regression based correlation coefficient (LR-CC) score with a different range like n1, n2,n3,n4 a, for d1 used n1 and n2 dataset,for d2 dataset, combined dataset of n3 and n4 are used and developed a new dataset d3 which is the combination of d1 and d2 by using the feature selection strategy which results in 997 features out of 2548 features of the EEG Brainwave dataset with a classification accuracy of emotion recognition 98.75%, which is comparable to many state-of-the-art techniques. It has been established some scientific groundwork for using data fusion strategy in emotion recognition.  2022. International Journal of Advanced Computer Science and Applications. All Rights Reserved.</text>
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                <text>Tahseen S.; Danti A.</text>
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                <text>International Journal of Advanced Computer Science and Applications, Vol-13, No. 6, pp. 433-442.</text>
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                <text>Science and Information Organization</text>
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                <text>&lt;a href="https://doi.org/10.14569/IJACSA.2022.0130654" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14569/IJACSA.2022.0130654&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 2158107X</text>
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                <text>Tahseen S., Dept. of Computer Science and Engineering, Christ University, Bangalore, India; Danti A., Dept. of Computer Science and Engineering, Christ University, Bangalore, India</text>
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                <text>A privatised approach in enhanced spam filtering techniques using TSAS over cloud networks</text>
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              <elementText elementTextId="111789">
                <text>abstraction scheme; cloud networks; privatised e-mail spam filtering; spam detection; spam ontology</text>
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              <elementText elementTextId="111790">
                <text>Major problem over cloud networks is the effect of malicious code that protrudes its own activity without intend of network user in resource sharing. One such activity is the spam-filtering techniques which assumes the data with training and testing sets and also rely on fundamental classification through distribution. A privatised spam filtering approach is a classic problem which automatically recognises user context and incoming mail information relevance. To filter mail contents learning based methods, probabilistic based method trying to improve their accuracy but they cannot attain an improvement in identifying suspicious contents and also in segregating legitimate mail entries. Here a novel representation of structured abstraction scheme (SAS) used to generate abstraction in e-mail process using HTML tag content in e-mail and its algorithm for filtering such process of spam filtering is depicted. In this SAS methodology near duplicate matching process with HTML tag ordering will be processed and newly assigned position ordering were deliberated. The experimental setup shows that there will be a great improvement while filtering spam in accuracy of e-mail content while sharing in cloud networks. Copyright  2022 Inderscience Enterprises Ltd.</text>
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              <elementText elementTextId="111791">
                <text>Paul P.M.; Jingle I.D.J.</text>
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              <elementText elementTextId="111792">
                <text>International Journal of Intelligent Enterprise, Vol-9, No. 3, pp. 332-343.</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJIE.2022.123759" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJIE.2022.123759&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111796">
                <text>Restricted Access</text>
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              <elementText elementTextId="111797">
                <text>ISSN: 17453232</text>
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            <elementTextContainer>
              <elementText elementTextId="111799">
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              <elementText elementTextId="111801">
                <text>Paul P.M., Department of Information Technology, Alliance College of Engineering and Design, Alliance University, Bangalore, India; Jingle I.D.J., Department of Computer Science and Engineering, CHRIST University, Bangalore, India</text>
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            <description>A name given to the resource</description>
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                <text>LGBTQIA+ rights, mental health systems, and curative violence in India</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="111803">
                <text>conversion therapy; LGBTQIA+ rights; mental health; sexual identities; social justice</text>
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            </elementTextContainer>
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            <description>An account of the resource</description>
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                <text>This commentary examines the spaceattitudeadministrative complex of mainstream mental health systems with regard to its responses to decriminalisation of nonheteronormative sexual identities. Even though the Supreme Court, in its 2018 order, instructed governments to disseminate its judgment widely, there has been no such attempt till date. None of the governmentrun mental health institutions has initiated an LGBTQIA+ rights-based awareness campaign on the judgment, considering that lack of awareness about sexualities in itself remains a critical factor for a noninclusive environment that forces queer individuals to end their lives. That the State did not come up with any awareness campaign as mandated in the landmark judgment reflects an attitude of queerphobia in the State. Drawing on the concept of biocommunicability, analysing the public interfaces of staterun mental health institutions, and the responses of mental health systems to the death by suicide of a queer student, I illustrate how mental health institutions function to further antiLGBTQIA+ sentiments of the state by churning out customerpatients out of structural violence and systemic inequalities, benefitting the mental health economy at the cost of queer citizens on whom curative violence is practised.  Indian Journal of Medical Ethics 2022.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="111805">
                <text>Kottai S.R.</text>
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            <elementTextContainer>
              <elementText elementTextId="111806">
                <text>Indian Journal of Medical Ethics, Vol-7, No. 2, pp. 127-133.</text>
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              <elementText elementTextId="111807">
                <text>Forum for Medical Ethics Society</text>
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                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.20529/IJME.2021.090" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.20529/IJME.2021.090&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133107069&amp;amp;doi=10.20529%2FIJME.2021.090&amp;amp;partnerID=40&amp;amp;md5=33cf5f80cf18388f245596385edee179" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133107069&amp;amp;doi=10.20529%2fIJME.2021.090&amp;amp;partnerID=40&amp;amp;md5=33cf5f80cf18388f245596385edee179&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111810">
                <text>All Open Access; Hybrid Gold Open Access</text>
              </elementText>
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                <text>ISSN: 9748466; PubMed ID: 35765258</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="111813">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="111815">
                <text>Kottai S.R., Department of Psychology, CHRIST (Deemed-to-be) University, Bengaluru, India</text>
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          <elementContainer>
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              <description>A name given to the resource</description>
              <elementTextContainer>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111816">
                <text>A Sampling-Based Stack Framework for Imbalanced Learning in Churn Prediction</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111817">
                <text>Churn prediction; ensemble classifiers; ensemble stack; over-sampling; under-sampling</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111818">
                <text>Churn prediction is gaining popularity in the research community as a powerful paradigm that supports data-driven operational decisions. Datasets related to churn prediction are often skewed with imbalanced class distribution. Data-level solutions, like over-sampling and under-sampling, have been commonly used by researchers to address this problem. There are limited number of case studies that attempt to evolve these data-level solutions by integrating them with computationally advanced frameworks, like ensembles. Ensembles primarily employ algorithmic diversity using a fixed set of training instances to achieve superior performance. This study aims to introduce algorithmic diversity in ensembles by modifying the fixed set of training instances using diverse sampling strategies to increase predictive performance in imbalanced learning. Data is acquired from the world's largest open hotel commerce platform company. A four-part series of experiments is conducted to analyze the effectiveness of sampling techniques and ensemble solutions on model performance. A new sampling-based stack framework called 'Stacking of Samplers for Imbalanced Learning' is proposed. The framework combines the prediction capabilities of sampling solutions to stimulate the information gain of the meta features in ensemble. It is observed that the proposed framework leads to improvement in model performance with AUC of 86.4% and top-decile lift of 4.7 for customers of the hotel technology provider. Additionally, results show that the framework records a higher information gain for meta features used in a stack, compared to commonly used stack frameworks.   2013 IEEE.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111819">
                <text>De S.; Prabu P.</text>
              </elementText>
            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="111820">
                <text>IEEE Access, Vol-10, pp. 68017-68028.</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="111821">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="111822">
                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/ACCESS.2022.3185227" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCESS.2022.3185227&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674427&amp;amp;doi=10.1109%2FACCESS.2022.3185227&amp;amp;partnerID=40&amp;amp;md5=8b07a43d126087ba6ccedc68eb3a7c0a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674427&amp;amp;doi=10.1109%2fACCESS.2022.3185227&amp;amp;partnerID=40&amp;amp;md5=8b07a43d126087ba6ccedc68eb3a7c0a&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111824">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 21693536</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="111826">
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            <elementTextContainer>
              <elementText elementTextId="111827">
                <text>English</text>
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              <elementText elementTextId="111828">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="111829">
                <text>De S., CHRIST (Deemed to Be University), Department of Data Science, Bengaluru, 560029, India; Prabu P., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111830">
                <text>Automated Risk Management Based Software Security Vulnerabilities Management</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111831">
                <text>integrated security management system; machine learning; quantitative risk assessment; Quantitative threat modeling; software security</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111832">
                <text>An automated risk assessment approach is explored in this work. The focus is to optimize the conventional threat modeling approach to explore software system vulnerabilities. Data produced in the software development processes are better leveraged using Machine Learning approaches. A large amount of industry knowledge around security vulnerabilities can be leveraged to enhance current threat modeling approaches. Work done here is in the ecosystem of software development processes that use Agile methodology. Insurance business domain data are explored as a target for this study. The focus is to enhance the traditional threat modeling approach with a better quantitative approach and reduce the biases introduced by the people who are part of software development processes. This effort will help bridge multiple data sources prevalent across the software development ecosystem. Bringing these various data sources together will assist in understanding patterns associated with security aspects of the software systems. This perspective further helps to understand and devise better controls. Approaches explored so far have considered individual areas of software development and their influence on improving security. There is a need to build an integrated approach for a total security solution for the software systems. A wide variety of machine learning approaches and ensemble approaches will be explored. The insurance business domain is considered for the research here. CWE (Common Weaknesses Enumeration) mapping from industry knowledge are leveraged to validate the security needs from the industry perspective. This combination of industry and company data will help get a holistic picture of the software system's security. Combining the industry and company data helps lay down the path for an integrated security management system in software development. The risk management framework with the quantitative threat modeling process is the work's uniqueness. This work contributes toward making the software systems secure and robust with time.   2013 IEEE.</text>
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            <elementTextContainer>
              <elementText elementTextId="111833">
                <text>Althar R.R.; Samanta D.; Kaur M.; Singh D.; Lee H.-N.</text>
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            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="111834">
                <text>IEEE Access, Vol-10, pp. 90597-90608.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="111835">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
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              <elementText elementTextId="111836">
                <text>2022-01-01</text>
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                <text>Althar R.R., Christ University, Data Science Department, Karnataka, Bangalore, 560029, India, First American India Private Ltd., Qms, Karnataka, Bangalore, 560038, India; Samanta D., Christ University, Department of Computer Science, Karnataka, Bangalore, 560029, India; Kaur M., First American India Private Ltd., Qms, Karnataka, Bangalore, 560038, India; Singh D., First American India Private Ltd., Qms, Karnataka, Bangalore, 560038, India; Lee H.-N., First American India Private Ltd., Qms, Karnataka, Bangalore, 560038, India</text>
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                <text>ISSN: 20492073</text>
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                <text>Pandey P., Applied Psychology, Amity University, Lucknow, India; Srivastava A., Department of Psychology, School of Social Sciences at CHRIST (Deemed to be University) Delhi NCR, India</text>
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                <text>Behavioural drivers of access-based consumption among millennial and generation Z in India</text>
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                <text>The world of consumerism is very dynamic, and technology driven changes in the field of consumerism are unavoidable especially among new generation customers  millennial and generation Z. The customers, especially in urban areas, gradually move from ownership-based consumption to access-based consumption. The purpose of this study is to explore the behavioural drivers of new generation customers towards access-based consumption. The study is descriptive in nature and employed a survey method for data collection. The drivers identified are tested through a quantitative study and the primary data are collected using online questionnaires. The study has also analysed the impact of behavioural drivers on current usage of access-based consumption as well as on willingness to use access-based consumption in the future. The study has found that sustainability is the only driver that significantly motivates access-based consumption in Indian urban areas. Copyright  2022 Inderscience Enterprises Ltd.</text>
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                <text>Ravikumar T.; Sriram M.; Prakash N.; Divakar G.M.; Halaswamy D.</text>
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                <text>International Journal of Business Excellence, Vol-27, No. 2, pp. 261-276.</text>
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                <text>ISSN: 17560047</text>
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                <text>Ravikumar T., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sriram M., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Prakash N., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Divakar G.M., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Halaswamy D., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>ENVIRONMENTAL JURISPRUDENCE IN INDIA: A JOURNEY TOWARDS ATTAINING ECO-CENTRIC IDEALS</text>
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                <text>Environmental Law has had a long, arduous journey in India, but has been able to keep up with the many changes that have taken place, around the globe, and has helped shape India's environmental legal regime. By tracing the growth of environmental law, through different ages, and by highlighting some of those factors, which have contributed immensely to its growth, the idea is to identify certain false grounds and figure out ways to make environmental law more effective. By looking at it through a sociocultural lens, the aim is to examine as to whether culture, tradition and rituals can be imbibed into law or given a legal recognition, and thereby giving more power to law. The development of Earth Jurisprudence principles and the way in which it is sought to be imbibed in India and the challenges that it faces too are discussed.  2022 Universitat Rovira i Virgili. All right reserved.</text>
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                <text>Brand Love for Sports Apparels Among Indians: A Triangular Theory of Love Perspective</text>
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                <text>Brand Advocacy; Brand Intimacy; Brand Love; Brand Passion; Purchase Intention; Triangular Theory of Love</text>
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                <text>This study aims to evaluate the concept of brand love among the Indians in sports apparel industry. Drawing on Sternbergs (1986) triangular theory of love, we propose a three-dimensional brand love model. We further discuss the interrelationship between these variables and provide a theoretical model for explaining the concept using sports apparels. Then, this theoretical model is tested using empirical research undertaken among 327 respondents. These exploratory results indicated that the concept of brand love in India is similar to that of interpersonal love, contradicting the earlier finding in the field of brand love. These contradicting findings were attributed to the cultural differences between Eastern and Western cultures, especially in the field of extended self (Markus &amp;amp; Kitayama, 1991). These findings create the possibility for future research into brand love via the triangular theory of love to understand how the changes in the perceptions of self influence the brand love.  2022 Management Development Institute.</text>
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                <text>Thomas T.; Jain D.S.</text>
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                <text>&lt;a href="https://doi.org/10.1177/09722629221105672" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09722629221105672&lt;/a&gt;
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                <text>ISSN: 9722629</text>
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                <text>Thomas T., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Jain D.S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Optimization of Abrasive Wear Parameters of Halloysite Nanotubes Reinforced Silk/Basalt Hybrid Epoxy Composites using Taguchi Approach</text>
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                <text>Basalt fibre; HNTs; Hybrid nanocomposites; Silk fibre; Taguchi method; Three body abrasive wear</text>
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                <text>The demand for environmentally friendly and sustainable materials for nonstructural and structural applications grows by the day. Polymeric composites reinforced with fillers and fibres are considered to have increased strength and desirable wear resistance. Abrasive wear of industrial and agricultural based components are currently one of the most serious issue. Therefore, the current research reports on the influence of Halloysite-Nanotubes (HNTs) loading on the three body abrasive behavior of bi-directional silk fibre (SF) and basalt fibre (BF) reinforced epoxy (Ep) composites. Rubber wheel with dry sand abrasion testing in accordance with ASTM G65-16e1 was performed with four control parameters such as filler content, load, abrading distance and silica sand size. The tests were planned as per orthogonal array of Taguchi (L27). Significant impact of control factors were identified using ANOVA (Analysis of variance). The results demonstrated that adding HNTs to SF-BF/Ep nanocomposites significantly improved the wear resistance and the combination of A2, B1, C3 and D1 control factors yields the lower specific wear rate (SWR). Findings exhibit that the load and abrading distance were the most significant parameters affecting the abrasive wear of SF-BF/Ep nanocomposites followed by filler content and silica sand size. Microstructural features were observed via scanning-electron-microscopy (SEM).  2022 Published by Faculty of Engineering.</text>
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                <text>Darshan S.M.; Suresha B.; Jamadar I.M.</text>
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                <text>Tribology in Industry, Vol-44, No. 2, pp. 253-267.</text>
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              <elementText elementTextId="111905">
                <text>Faculty of Engineering, University of Kragujevac</text>
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                <text>&lt;a href="https://doi.org/10.24874/ti.1131.06.21.08" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.24874/ti.1131.06.21.08&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132433996&amp;amp;doi=10.24874%2Fti.1131.06.21.08&amp;amp;partnerID=40&amp;amp;md5=2b11ec60aa8e1c6af95391ede31fa79a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132433996&amp;amp;doi=10.24874%2fti.1131.06.21.08&amp;amp;partnerID=40&amp;amp;md5=2b11ec60aa8e1c6af95391ede31fa79a&lt;/a&gt;</text>
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              <elementText elementTextId="111908">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 3548996</text>
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                <text>Darshan S.M., Centre for Composite Material Research, Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India, Department of Mechanical Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 570008, India; Suresha B., Centre for Composite Material Research, Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India; Jamadar I.M., Centre for Composite Material Research, Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India</text>
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          <element elementId="50">
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                <text>Job satisfaction while working from home during the COVID-19 pandemic: do subjective work autonomy, work-family conflict, and anxiety related to the pandemic matter?</text>
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          <element elementId="49">
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                <text>anxiety; COVID-19; job satisfaction; work autonomy; Work from home; work-family conflict</text>
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                <text>The imposed lockdown, due to the COVID-19 outbreak, resulted in the rise to a new normal of working from home. This study explores how the lockdown and the sudden shift in the working style affected the job satisfaction of employees in India. We examined the relationship of job satisfaction with work autonomy, and determined whether work-family conflict, and anxiety due to COVID-19 are negatively related to job satisfaction amongst employees working from home in India. Through a correlational research design, a total of 211 participants took part in the study, and only 200 of the data, representing a 95% response rate, were eligible for further analysis. The data were analyzed using Structural Equation Modeling, and the results showed that work-family conflict and anxiety related to COVID-19 have a negative correlation with job satisfaction, while work autonomy had a positive correlation with job satisfaction. Perceived work autonomy, work-family conflict, and anxiety related to the COVID-19 pandemic significantly predicted job satisfaction and accounted for an overall 37.8% of the variance in job satisfaction. The findings of the current study provide valuable insight into the consequences of a pandemic or similar uncontrollable event, and augmented the literature on organizational behavior where most employees are compelled to work remotely, either full-time or part-time. The theoretical and empirical implications of how work-family conflict and anxiety related to the COVID-19 pandemic negatively impact the job satisfaction of employees in India were discussed. Evaluation of the structural relationship (SEM) reveals that the overall exogenous constructs significantly predicted job satisfaction of employees working from home in India during the COVID-19 pandemic.  2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.</text>
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              <elementText elementTextId="111917">
                <text>Mohammed Z.; Nandwani D.; Saboo A.; Padakannaya P.</text>
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                <text>Cogent Psychology, Vol-9, No. 1</text>
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                <text>Cogent OA</text>
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                <text>&lt;a href="https://doi.org/10.1080/23311908.2022.2087278" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/23311908.2022.2087278&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132280233&amp;amp;doi=10.1080%2F23311908.2022.2087278&amp;amp;partnerID=40&amp;amp;md5=e22172f4dd790847d29958f01b79d350" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132280233&amp;amp;doi=10.1080%2f23311908.2022.2087278&amp;amp;partnerID=40&amp;amp;md5=e22172f4dd790847d29958f01b79d350&lt;/a&gt;</text>
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              <elementText elementTextId="111922">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23311908</text>
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                <text>Mohammed Z., Department of Psychology, Ashoka University, Sonipat, India, Department of Psychological Science, The University of Vermont, Burlington, VT, United States; Nandwani D., Department of Psychology, Ashoka University, Sonipat, India; Saboo A., Department of Psychology, Ashoka University, Sonipat, India; Padakannaya P., Department of Psychology, Ashoka University, Sonipat, India, Department of Psychology, Christ (Deemed to be) University, Bengaluru, India</text>
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                <text>Determinants of adoption of digital payment services among small fixed retail stores in Bangalore, India</text>
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                <text>Bangalore; digital payments; fixed retail stores; India; payment technologies</text>
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            <description>An account of the resource</description>
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                <text>India is well on its way to becoming a trillion-dollar digital economy and the government is actively working towards it. Digital payment is taking up and gaining momentum in India. Digital payments have penetrated in all parts of life in India. But it is reported that digital payments are less penetrated among small vendors across the country. This study intends to identify and analyse the factors that determine the adoption of digital payment technologies among small fixed retail stores in tier 1 cities such as Bangalore. The study is based on primary data which is collected through well-structured questionnaires from small fixed retail merchants. The collected data are analysed to determine the factors affecting the adoption of digital payment services among small fixed retail merchants using appropriate statistical tools. The study has found that habit, pervasiveness, and operating costs are the factors that significantly affect the adoption of digital payment services among small fixed retail merchants. Copyright  2022 Inderscience Enterprises Ltd.</text>
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                <text>Ravikumar T., School of Business and Management, Christ University, Karnataka, Bangalore, 560029, India; Prakash N., School of Business and Management, Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Analysis and dynamics of the Ivancevic option pricing model with a novel fractional calculus approach</text>
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                <text>Atangana-Baleanu derivative; Ivancevic option pricing model; Laplace transform; q-homotopy analysis method; q-homotopy analysis transform method</text>
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                <text>The aim of the current study is to capture the complex behavior of the Ivancevic option pricing (IOP) model using the (Formula presented.) -homotopy analysis transform method ((Formula presented.) -HATM) with novel fractional operator. The generalization of the Black-Scholes model with the nonlinear Schringer equation plays a pivotal role in financial mathematics in studying the option-pricing wave function associated with two parameters. Based on adaptive market potential and volatility constant with distinct initial situations, we hired three distinct cases to exemplify the ability of (Formula presented.) -HATM. The considered method is elegant unification of the (Formula presented.) -homotopy analysis and Laplace transform algorithms. The derivative of fractional order is projected with the Atangana-Baleanu (AB) operator. The fixed-point theorem is used to present the existence and uniqueness of the attained result for the considered model, and we hire five distinct initial conditions. The hired scheme is highly methodical and exact to analyze the insights of the complex system with integer and fractional order exemplifying associated areas of science, which can be observed using plots and table.  2022 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Waves in Random and Complex Media</text>
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                <text>Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Kumar D., Department of Mathematics, University of Rajasthan, Jaipur, India</text>
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                <text>Experimental Investigations on Static, Dynamic, and Morphological Characteristics of Bamboo Fiber-Reinforced Polyester Composites</text>
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              <elementText elementTextId="111957">
                <text>The use of natural fiber-reinforced polymer composites has increased over a period of time, majorly due to the ecosustainability and biodegradability of the composites. Among several grades of natural fibers, bamboo fibers offer numerous environmental and cost benefits and possess excellent mechanical characteristics. The superior properties of the bamboo fibers have triggered the research interests in the domain of bamboo fiber-reinforced polymer composites. Among the polymers, polyesters are long chain molecules made up of atoms arranged in various ways with other elements to form the basic building blocks of a polymeric chain. Polyester is being increasingly employed in today's industrial products due to its inherent advantages. As a result, based on the potential properties of bamboo fibers as reinforcing materials and polyester resin as matrix material, the biocomposites are synthesized by hand lay-up technique and the specimens cut as per the standard dimensions and subjected to mechanical investigations, vibration, and morphological characterization as per the ASTM test methods. The increase in fiber weight content has enhanced flexural, tensile, and impact characteristics and improved the damping characteristics of the composite specimens. The microstructural evaluations have revealed the uniform distribution of the bamboo fibers in the resin, and the morphological studies of the fractured specimens have revealed that the fracture is majorly due to the matrix cracks rather than the fiber debonding, which is a major attribute ascertaining the strong coherent strengthening mechanism brought about by the inclusion of bamboo fiber in the polyester resin.  2022 N. Santhosh et al.</text>
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                <text>Santhosh N.; Praveena B.A.; Srikanth H.V.; Angadi S.; Gunge A.; Rudra Naik M.; Shankar G.; Ramesha K.; Ravichandran G.</text>
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                <text>International Journal of Polymer Science, Vol-2022</text>
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                <text>Hindawi Limited</text>
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                <text>&lt;a href="https://doi.org/10.1155/2022/1916877" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/2022/1916877&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 16879422</text>
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                <text>Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Bengaluru, 560067, India; Praveena B.A., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Srikanth H.V., Department of Aeronautical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Angadi S., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Gunge A., Department of Mechanical Engineering, Nagarjuna College of Engineering &amp;amp; Technology, Bengaluru, 562164, India; Rudra Naik M., Department of Electro-Mechanical Engineering, Arba Minch University, Sawla Campus, Ethiopia; Shankar G., Department of Mechanical Engineering, MVJ College of Engineering, Bengaluru, 560067, India; Ramesha K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Kengeri Campus, Karnataka, Bangalore, India; Ravichandran G., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Kengeri Campus, Karnataka, Bangalore, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
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                <text>Relationship Between Job Stress, Employee Engagement and Job Satisfaction: A Study Based on Women Managers in 4 and 5 star Hotels in India</text>
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                <text>Women account for a very small percentage of the employee population in Indian luxury hotels. While they have proved themselves as valuable assets, the average tenure of a woman in a managerial role in the sector is still around 2 to 4 years. The Government of India in its India Skills report has identified the sector as a focus area, in the drive to achieve better gender ratios. This study takes a small step towards understanding the factors that could influence the tenure of women in the hotel sector. The study examines the role of job stress in determining the levels of job satisfaction of women in the Indian hotel industry. The study also examines the mediating effect that employee engagement may have on the relation. The researchers have studied women in managerial roles in 4 and 5-star hotels, across India. The findings suggest that there is a strong negative correlation between job stress and job satisfaction and that this relationship is partially mediated by the presence of employee engagement. The findings are particularly important for the hospitality sector in India, as it struggles to retain its talented female employees.  2022 K. J. Somaiya Institute of Management.</text>
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                <text>Nair S.; Mathew J.</text>
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              <elementText elementTextId="111973">
                <text>Business Perspectives and Research</text>
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                <text>SAGE Publications Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1177/22785337221107770" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/22785337221107770&lt;/a&gt;
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              <elementText elementTextId="111977">
                <text>Restricted Access</text>
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                <text>ISSN: 22785337</text>
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                <text>Nair S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mathew J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>VERTEX INDUCED 2-EDGE COLORING AND VERTEX INCIDENT 2-EDGE COLORING OF SOME GRAPH PRODUCTS</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="111984">
                <text>Cartesian product; rooted product; strong product; vertex incident 2-edge coloring number; Vertex induced 2-edge coloring number</text>
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                <text>Let G = (V, E) be a simple connected graph with vertex set V and edge set E. The vertex induced 2-edge coloring number ?vi2? (G) is the maximum number of colors used in coloring the edges of a graph G such that for each vertex v ? V, at most two edges in the induced subgraph ?N[v]?, generated by the closed neighborhood N[v], receive different colors. The vertex incident 2-edge coloring number ?vin2? (G) of graph G is the maximum number of colors required to color the edges of G such that at most two edges incident to a vertex v in G receive different colors. In this paper, the vertex induced 2-edge coloring number and vertex incident 2-edge coloring number of some graph products such as Cartesian product and strong product are discussed. The ?vi2?(G) and??vin2(G) number in the rooted product of a general connected graphs with some graph classes are also discussed in this paper.  Palestine Polytechnic University-PPU 2022.</text>
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                <text>Joseph A.; Dominic C.</text>
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                <text>Palestine Journal of Mathematics, Vol-11, No. 3, pp. 86-95.</text>
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              <elementText elementTextId="111988">
                <text>Palestine Polytechnic University</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132163181&amp;amp;partnerID=40&amp;amp;md5=1eb11558fac7ab40b0299dbd366d149f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132163181&amp;amp;partnerID=40&amp;amp;md5=1eb11558fac7ab40b0299dbd366d149f&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="111991">
                <text>Restricted Access</text>
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                <text>ISSN: 22195688</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="111993">
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            <name>Language</name>
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              <elementText elementTextId="111994">
                <text>English</text>
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              <elementText elementTextId="111996">
                <text>Joseph A., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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  <item itemId="15374" public="1" featured="0">
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      <elementSetContainer>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
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              </elementTextContainer>
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          </elementContainer>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <elementSet elementSetId="1">
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111997">
                <text>Trade in Pollution-intensive Products: Evidence from India</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111998">
                <text>Comparative Advantage; Dirty Industries; India; Pollution-intensive Industries; Pollution-intensive Products; Trade</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="111999">
                <text>This article explains Indias trade from an environmental perspective. Besides explaining trends and patterns of trade in pollution-intensive products, we investigate Indias comparative advantage in these products and discuss the emerging issues. The exercise based on the UN Comtrade dataset reveals that much of Indias exports happen under this category with better revealed comparative advantage (RCA) values, which do have high environmental concerns. We sum up the article by arguing that there is a need to attend to sector-specific problems encountered by these industries and have a well-knit environmental policy, so that trade and industrial expansion do not have a major environmental concern.  2022 Management Development Institute.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112000">
                <text>Tantri M.L.; Bhat V.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="112001">
                <text>Vision</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="112002">
                <text>Sage Publications India Pvt. Ltd</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112003">
                <text>2022-01-01</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="112004">
                <text>&lt;a href="https://doi.org/10.1177/09722629221105685" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09722629221105685&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133325372&amp;amp;doi=10.1177%2F09722629221105685&amp;amp;partnerID=40&amp;amp;md5=3e823e07edeae8dc6a16e2368b3948ae" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133325372&amp;amp;doi=10.1177%2f09722629221105685&amp;amp;partnerID=40&amp;amp;md5=3e823e07edeae8dc6a16e2368b3948ae&lt;/a&gt;</text>
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            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112005">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="112006">
                <text>ISSN: 9722629</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112007">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112008">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112009">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="112010">
                <text>Tantri M.L., CESP, Institute for Social and Economic Change, Karnataka, Bangalore, India; Bhat V., Christ Deemed to be University, Karnataka, Bangalore, India</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
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  <item itemId="15375" public="1" featured="0">
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      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112011">
                <text>Price Discovery of Currency Futures at NSE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112012">
                <text>Currency futures; Foreign exchange market; NSE; Spot market</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112013">
                <text>The current study aimed to examine the causal relationship between the NSE currency future rates and currency spot rates in order to identify the price discovery mechanism at NSE market and its integration with foreign exchange market (spot market). To study the causal relationship between the said markets, we have considered daily closing rates for NSE currency futures and currency spot rates for selected pairs of currencies, i.e. USD/INR, GBP/INR, JPY/INR and EURO/INR. The data was obtained from www.nseindia.com and www.investing.com for the period from Jan-2010 to Sep-2017, which makes approximately 1750 observations for each currency pair in each market. It is found that the spot rate for JPY/INR leads the future rate. It is also identified that the spot rate for USD/INR does not cause the changes in futures. It indicates that the market integration between spot and futures at NSE for currency pair USD/INR is strong compared to other selected currency pairs. From the variance decomposition test we found that there is almost no impact of variance in USD/INR spot rate on future rate variance forecast errors. It implies that the causal relationship between for USD/INR spot and future rates is strong and mature compared to the measured causal relationships for the remaining currency pairs. This study concludes that the price discovery process for currency pair USD/INR is better at NSE currency futures among the selected currency pairs. Copyright  2022 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112014">
                <text>Jose J.; Mandala G.N.; Desai K.; Hussaini N.; Shamshuddin S.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="112015">
                <text>Universal Journal of Accounting and Finance, Vol-10, No. 1, pp. 276-285.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="112016">
                <text>Horizon Research Publishing</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112017">
                <text>2022-01-01</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="112018">
                <text>&lt;a href="https://doi.org/10.13189/UJAF.2022.100128" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.13189/UJAF.2022.100128&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133620143&amp;amp;doi=10.13189%2FUJAF.2022.100128&amp;amp;partnerID=40&amp;amp;md5=f9705a3a91f816c3f7966271c93034e2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133620143&amp;amp;doi=10.13189%2fUJAF.2022.100128&amp;amp;partnerID=40&amp;amp;md5=f9705a3a91f816c3f7966271c93034e2&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112019">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>A related resource</description>
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              <elementText elementTextId="112020">
                <text>ISSN: 23319712</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112021">
                <text>Online</text>
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            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112022">
                <text>English</text>
              </elementText>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="112023">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="112024">
                <text>Jose J., Department of Professional Studies, Christ University, India; Mandala G.N., Department of Professional Studies, Christ University, India; Desai K., Department of Professional Studies, Christ University, India; Hussaini N., Department of Professional Studies, Christ University, India; Shamshuddin S., Department of Management Studies, Gandhi Institute of Technology and Management, India</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
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