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                <text>&lt;em&gt;&lt;strong&gt;Promotional strategies used by electronic dance music festicals (Sunburn and VH1 supersonic) on social networking sites /&lt;/strong&gt;&lt;/em&gt;</text>
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                <text>Ranganayakulu, Koka Sai Pavan Sri. - 1424012</text>
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                <text>This study deals with promotional strategies used by Electronic Dance Music (EDM) festivals like Sunburn and Supernova on social networking sites. This study also tries to learn branding techniques used by these Electronic Dance Music’s. The interest Indian youth have on music festivals has increased and is still increasing mainly due to social networking sites especially in the past few years. Promotions used by these events are trending and are the most successful promotional strategies implemented till date.</text>
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                <text>Healthcare enhances ones physical and emotional well-being via the detection, treatment, and eventual cure of disease, illness, injuries, and other debilitating conditions. The importance of information systems has increased everywhere, particularly in the healthcare sector. Information technology has long benefitted the health business, from electronic health records to cloud-based platforms. Information systems are becoming increasingly important in advancing healthcare and healthcare administration. The pandemic brought virtual space and services to all sectors of the economy, especially healthcare, which was predominantly supported through face-to-face services earlier, but due to the requirement of social distancing, hospitals started offering services in virtual mode. Also, evolution in the information system and the Internet has paved the way for the Healthcare Internet of Things (HIoT). The Healthcare Internet of Things (HIoT) is the interconnection of intelligent objects or devices that enables the development of new healthcare services and applications. HIoT can take many forms, namely medical devices, public health services, innovative technology, medication refills, and remote monitoring. This healthcare data is a new treasure for healthcare stakeholders to improve patients health and experiences while creating revenue opportunities and improving healthcare operations. Thus, HIoT is redefining healthcare by ensuring better care, improved treatment outcomes, and reduced patient costs, as well as better processes and workflows, improved performance, and patient experience for healthcare providers. HIoT devices can also be useful for asset management tasks like controlling inventory at the pharmacy, checking refrigerator temperatures, and controlling humidity and temperature in the environment. Having said the advantages, one cannot deny the challenges it has brought to safety, security, privacy, and scalability aspects. Hence, this chapter will explore the evolution of IoT in healthcare, its elements, applications, and challenges.  2024 selection and editorial matter, Alex Khang.</text>
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                <text>Rangasamy S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Rajamohan K., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Basu D., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Menezes K.J., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Chongder A., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>The need to make informed decisions has become a matter of survival for every organisation in the current unprecedented and dynamic business environment. The exponential growth in technology along with the internet has brought in enormous volume and variety of data access to all organisations irrespective of their industry. Organisations should consider their resources and industry environment to build their analytics capabilities, as it involves a tremendous investment. In this context, it is essential to understand the role of financial analytics in decision-making for better firm performance. Hence, this chapter proposes to throw light on the evolution of big data analytics, theoretical linkages, dimensions and benefits of using financial analytics, technological support for financial analytics along with use cases, and Strengths, Weaknesses, Opportunities, and Challenges (SWOC) analysis.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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                <text>Analytics Enabled Decision Making, pp. 139-169.</text>
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                <text>Rangasamy S., CHRIST (Deemed to be University), Bangalore, India; Rajamohan K., CHRIST (Deemed to be University), Bangalore, India; Janardhanan A.K., Southern Cross Institute, Parramatta, NSW, Australia; Manu K.S., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Technological development has led us to various paths. Though each technological change has evolved in its own space and time, it resulted in amenities and a pragmatic approach to problem-solving. One such technology is the "Internet of Things" - IoT which was coined in the year 1999 by a computer scientist called Kevin Ashton. Despite its start in the late 90s, it has come a long way to achieve the status of 10 Billion active IoT devices by the end of 2021, with the IoT solutions costing an estimated economic value of 4-11 trillion by 2025.  2023, IGI Global.</text>
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                <text>Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries, pp. 407-434.</text>
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                <text>Emotional Intelligence is a set of qualities and competencies that captures a broad collection of individual skills and dispositions, usually referred to as soft skills or inter and intra-personal skills, that are outside the traditional areas of specific knowledge, general intelligence, and technical or professional skills. Emotions are an intrinsic part of our biological makeup, and every morning they march into the office with us and influence our behavior. Emotional intelligence consists of five factors: Knowing one's emotions, managing emotions, motivating oneself, recognizing emotions in others, and handling relationships Goleman (1995). Researchers today are interested in finding the effects of emotional intelligence on employees and thereby, organizations, and analyzing the various other facets of EQ. Emotional intelligence improves individual and organizational performance.</text>
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                <text>Narrative therapy is an evidence-based therapeutic intervention that can help address trauma experienced by women who have experienced violence. Narrative therapists open up new perspectives for their clients by examining moments of strength, vitality, and autonomy, which are often hidden in stories about oppression, suffering, and marginalization. Dalit women who participated in the research revealed how the stories opened up new possibilities for constructing unique narratives. A multiple case study design was used to elicit the responses of female survivors with severe mental illness to physical, sexual, and psychological abuse perpetrated by Dalit and higher caste men.  2024 Mary Ann Liebert Inc.. All rights reserved.</text>
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                <text>Violence and Gender, Vol-11, No. 1, pp. 53-57.</text>
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                <text>Rani A., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India; Raman K.J., Departments of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Antony S., Departments of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Ammapattian T., Departments of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Chethan B., Departments of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India</text>
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                <text>Persons with severe mental illness (PwSMI) are at risk of being victimized due to persistent cognitive, emotional, and behavioral symptoms, which can become potential threats for effective reintegration into the community. A total of 217 PwSMI, receiving outpatient psychiatric treatment from a tertiary hospital, were screened for abuse, and if they were identified as abuse, then information about contextual factors contributing to abuse, sociodemographic, family, and clinical and legal profiles was created. Overall, 150 PwSMI were victimized, of which 56% were females, 50.7% were married, 20.7% were educated up to middle school, and 31.4% were homemaker. The most common form of diagnosis was schizophrenia (43.3%), with a mean duration of illness of 14 years. All the victimized PwSMI were subjected to emotional abuse. PwSMI were more likely to be victimized by multiple family members due to poor knowledge and understanding about illness (24%). The majority of the PwSMI had disclosed abuse (62.7%) to nonformal sources (33.3%) with no documentation in the clinical file (82.7%). PwSMI experience ongoing abuse and are more likely to be re-victimized, which increases the need for regular screening and culturally sensitive and comprehensive community-coordinated care and support.  2023 Indian Journal of Community Medicine.</text>
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                <text>Rani A.; Raman K.J.; Antony S.; Thirumoorthy A.; Basavarajappa C.</text>
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                <text>Indian Journal of Community Medicine, Vol-48, No. 6, pp. 920-925.</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>Rani A., Department of Psychology, School of Social Sciences, Bangalore Central Campus, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Raman K.J., Departments of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Karnataka, Bengaluru, India; Antony S., Departments of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Karnataka, Bengaluru, India; Thirumoorthy A., Departments of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Karnataka, Bengaluru, India; Basavarajappa C., Departments of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Karnataka, Bengaluru, India</text>
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                <text>A Qualitative Study to Understand the Nature of Abuse Experienced by Persons with Severe Mental Illness</text>
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                <text>Persons with Severe Mental Illness (PwSMI) living in the community are considered high-risk groups for victimization. However, the nature of violence experienced by PwSMI is not well understood in India, which limits the effectiveness of clinical interventions to prevent revictimization. The Key Informant Interviews (KIIs) and Focused Group Discussion guides were developed, content validated, and pilot tested. A total of 27 KIIs and 5 focus groups were conducted with 14 PwSMIs, 19 experts, and 18 caregivers. Thematic analysis was done using Braun and Clarke's six stages of thematic analysis. The saturation of themes was determined using the Comparative Method for Themes Saturation (CoMeTS). Some of the themes and subthemes that emerged were (1) Physical Abuse (physical restraining, hitting, spitting), (2) Psychological Abuse (living in a controlling environment, criticized, neglected, scapegoated, symptomization of emotions and behavior),(3) Sexual Abuse (sexual assault, reproductive coercion, sexual exploitation), (4) Social Abuse (teased or labeled, social deprivation, abandonment, discrimination, and exclusion), and (5) Trauma in formal care (Coercive treatment practices, seclusion, negative attitude of staff, surreptitious prescribing of medicines, patronizing behavior). Abuse experienced by PwSMI has significant treatment and health care costs and an increased burden on families and society, so comprehensive psychosocial care and support are needed to prevent revictimization.  Copyright 2023, Mary Ann Liebert, Inc., publishers 2023.</text>
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                <text>Rani A.; Raman K.J.; Antony S.; Thirumoorthy A.; Chethan B.</text>
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                <text>Violence and Gender, Vol-10, No. 1, pp. 45-56.</text>
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                <text>Mary Ann Liebert Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1089/vio.2022.0046" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1089/vio.2022.0046&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150453096&amp;amp;doi=10.1089%2Fvio.2022.0046&amp;amp;partnerID=40&amp;amp;md5=5da98b06c5f50c19ae888efef32555a3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150453096&amp;amp;doi=10.1089%2fvio.2022.0046&amp;amp;partnerID=40&amp;amp;md5=5da98b06c5f50c19ae888efef32555a3&lt;/a&gt;</text>
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                <text>ISSN: 23267836</text>
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                <text>Rani A., Department of Psychology, School of Social Sciences, Bangalore Central Campus, Christ (Deemed to Be University), Bengaluru, India; Raman K.J., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Antony S., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Thirumoorthy A., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Chethan B., Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India</text>
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                <text>Enhancing stochastic optimization: investigating fixed points of chaotic maps for global optimization</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="77343">
                <text>Chaos optimization algorithms; Chaotic maps; Global solutions; Newton's method; Random number generation; Stochastic optimization</text>
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                <text>Chaotic maps, despite their deterministic nature, can introduce controlled randomness into optimization algorithms. This chaotic map behaviour helps overcome the lack of mathematical validation in traditional stochastic methods. The chaotic optimization algorithm (COA) uses chaotic maps that help it achieve faster convergence and escape local optima. The effective use of these maps to find the global optimum would be possible only with a complete understanding of them, especially their fixed points. In chaotic maps, fixed points repeat indefinitely, disrupting the map's characteristic unpredictability. While using chaotic maps for global optimization, it is crucial to avoid starting the search at fixed points and implement corrective measures if they arise in between the sequence. This paper outlines strategies for addressing fixed points and provides a numerical evaluation (using Newton's method) of the fixed points for 20 widely used chaotic maps. By appropriately handling fixed points, researchers and practitioners across diverse fields can avoid costly failures, improve accuracy, and enhance the reliability of their systems.  2024 Institute of Advanced Engineering and Science. All rights reserved.</text>
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              <elementText elementTextId="77345">
                <text>Rani G.S.; Jayan S.; Alatas B.; Rajamanickam S.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="77346">
                <text>Indonesian Journal of Electrical Engineering and Computer Science, Vol-35, No. 3, pp. 1817-1834.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="77347">
                <text>Institute of Advanced Engineering and Science</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="77348">
                <text>2024-01-01</text>
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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="77349">
                <text>&lt;a href="https://doi.org/10.11591/ijeecs.v35.i3.pp1817-1834" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijeecs.v35.i3.pp1817-1834&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197866435&amp;amp;doi=10.11591%2Fijeecs.v35.i3.pp1817-1834&amp;amp;partnerID=40&amp;amp;md5=88a3227017c3a058582de21828895ef6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197866435&amp;amp;doi=10.11591%2fijeecs.v35.i3.pp1817-1834&amp;amp;partnerID=40&amp;amp;md5=88a3227017c3a058582de21828895ef6&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="77350">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
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              <elementText elementTextId="77351">
                <text>ISSN: 25024752</text>
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          <element elementId="42">
            <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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              <elementText elementTextId="77353">
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              <elementText elementTextId="77354">
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              <elementText elementTextId="77355">
                <text>Rani G.S., Department of Mathematics, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India; Jayan S., Department of Mathematics, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India; Alatas B., Department of Software Engineering, Firat University, Elazig, Turkey; Rajamanickam S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India</text>
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      <name>Article</name>
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    <elementSetContainer>
      <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="107852">
                <text>Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107853">
                <text>Agricultural load; Bald eagle search; D-statcom; Electric vehicle load; Electrical distribution networks; Loss minimization; Voltage profile improvement</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107854">
                <text>Currently, modern electrical distribution networks (EDNs) are experiencing high demand with emerging electric vehicle loads and are being planned for specific load requirements such as agricultural loads. In this connection, characterization and optimization of their performance become essential in planning studies. In this paper, optimal reactive power compensation using a distribution-static synchronous compensator (D-STATCOM) is proposed with the aim of loss reduction, voltage profile improvement and voltage stability enhancement different types of loads including agricultural and electric vehicle loads. A recent efficient meta-heuristic approach, improved bald eagle search (IBES), is implemented for solving the proposed optimization problem considering different operational and planning constraints. The simulation results are performed on IEEE 33-bus for different types of load modelling. The computational efficiency of IBES is compared with basic BES and other literature works. From the results, IBES has shown superior computational characteristics than all compared works. On the other hand, the optimal location and size of D-STATCOM caused significant loss reduction, voltage profile improvement and voltage stability enhancement for kinds of loads as experiencing in the modern EDNs  2022,International Journal of Intelligent Engineering and Systems.All Rights Reserved</text>
              </elementText>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107855">
                <text>Rani K.R.; Rani P.S.; Chaitanya N.; Janamala 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="107856">
                <text>International Journal of Intelligent Engineering and Systems, Vol-15, No. 2, pp. 554-563.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="107857">
                <text>Intelligent Network and Systems Society</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="107858">
                <text>2022-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="107859">
                <text>&lt;a href="https://doi.org/10.22266/ijies2022.0430.49" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22266/ijies2022.0430.49&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126762558&amp;amp;doi=10.22266%2Fijies2022.0430.49&amp;amp;partnerID=40&amp;amp;md5=3be69cbfc95d62582960c410f3ec5aab" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126762558&amp;amp;doi=10.22266%2fijies2022.0430.49&amp;amp;partnerID=40&amp;amp;md5=3be69cbfc95d62582960c410f3ec5aab&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="107860">
                <text>All Open Access; Bronze Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="107861">
                <text>ISSN: 2185310X</text>
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            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107862">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107863">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107864">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <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="107865">
                <text>Rani K.R., R.V.R&amp;amp; J.C. College of Engineering, Andhra Pradesh, Chowdavaram,Guntur, India; Rani P.S., Lakireddy Bali Reddy College of Engineering (Autonomous), Mylavaram, Jawaharlal Nehru Technological University, Andhra Pradesh, Kakinada,East Godavari, India; Chaitanya N., R.V.R&amp;amp; J.C. College of Engineering, Andhra Pradesh, Chowdavaram,Guntur, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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          </element>
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  <item itemId="15060" public="1" featured="0">
    <collection collectionId="5">
      <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>
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          </elementContainer>
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    </collection>
    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
    </itemType>
    <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="107629">
                <text>Adaptive Grasshopper Optimization Algorithm for Multi-Objective Dynamic Optimal Power Flow in Renewable Energy Integrated Microgrid</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107630">
                <text>Adaptive grasshopper optimization; Composite load modelling; Enhanced IEEE 33-bus benchmark test system; Optimal power flow; Photovoltaic generation</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107631">
                <text>Global warming has prompted several governments to adopt more sustainable policies in all areas. Incorporating renewable energy sources (RES) and adopting electric vehicles (EVs) are examples of such practises. Today's electrical distribution networks (EDNs) are becoming more reliable microgrids (MG) that can operate grid-connected or self-healing. As a result, the fluctuating nature of RES and EVs has raised numerous technical and economic concerns. This research proposes a novel multi-objective dynamic optimum power flow (OPF) addressing total load dispatch cost minimization and network security margin maximisation for various load profiles. A composite load model is proposed considering residential, industrial, commercial, EVs, agricultural loads. The proposed optimization issue is tackled using an adaptive grasshopper optimization algorithm (AGOA), a metaheuristic grasshopper optimization technique with adaptive control parameter (AGOA). A modified IEEE 33-bus benchmark test system with PV units and reactive power compensation devices is used for simulation over 24-hour horizon. The suggested AGOA's computing efficiency is compared for two scenarios. By combining good exploration and exploitation features with adaptive regulating variables, the AGOA outperformed in terms of global optima. Also, the techno-economics of MG operation and control are improved significantly. In scenario 1, the network is configured in a radial topology, with average operational costs, distribution losses, voltage variation, and transmission loadability of 1117.72 $/h, 82.4803 kW, 0.0058 p.u., and 0.7910 p.u., respectively, over a 24-hour period. In scenario 2, the network is run as a meshed network, with network performance of 1113.36 $/h, 43.15 kW, 0.0019 p.u., and 0.8524 p.u., respectively. This suggests that switching from radial to meshed configuration can result in lower losses, a better voltage profile, and increased loadability, as well as the applicability of the suggested methodology for managing uncertainty in modern EDNs.  2022. All Rights Reserved.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107632">
                <text>Rani P.S.; Giridhar M.S.; Rani K.R.; Janamala 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="107633">
                <text>International Journal of Intelligent Engineering and Systems, Vol-15, No. 3, pp. 242-252.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="107634">
                <text>Intelligent Network and Systems Society</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="107635">
                <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="107636">
                <text>&lt;a href="https://doi.org/10.22266/ijies2022.0630.21" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22266/ijies2022.0630.21&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130069735&amp;amp;doi=10.22266%2Fijies2022.0630.21&amp;amp;partnerID=40&amp;amp;md5=e67ebffd07dd9e3064a28b7f7b146224" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130069735&amp;amp;doi=10.22266%2fijies2022.0630.21&amp;amp;partnerID=40&amp;amp;md5=e67ebffd07dd9e3064a28b7f7b146224&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>Rani P.S., Lakireddy Bali Reddy College of Engineering (Autonomous), Jawaharlal Nehru Technological University Kakinada (JNTUK), Andhra Pradesh, Kakinada, East Godavari, India; Giridhar M.S., Lakireddy Bali Reddy College of Engineering (Autonomous), Jawaharlal Nehru Technological University Kakinada (JNTUK), Andhra Pradesh, Kakinada, East Godavari, India; Rani K.R., R.V.R &amp;amp; J.C. College of Engineering, Andhra Pradesh, Chowdavaram, Guntur, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Unmanned Artificial Intelligence-Based Financial Volatility Prediction in International Stock Market</text>
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                <text>This study investigates the capacity of autonomous artificial intelligence to predict the volatility of the worldwide stock market and proposes an innovative approach utilizing cutting-edge AI algorithms. A comprehensive literature review examines the evolution of financial prediction systems and the transformative effects of artificial intelligence in improving predictive capabilities. The AI system under consideration employs machine learning techniques more effectively than traditional methods for collecting and predicting financial volatility. The strategy heavily relies on automated data capture, preprocessing, and model training. A recall of 76%, an accuracy rate of 94%, a precision of 81%, an area under the curve of 0.87, and a sharp ratio of 1.25 comprise the model's impressive specifications. This research illuminates the prospective financial applications of artificial intelligence and provides a way to navigate the intricacies of international stock markets.   2024 IEEE.</text>
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                <text>Rani T., SRM-IST, Fsh, Institute of Science and Technology, Department of Commerce, Chennai, Ramapuram, India; Vijayakumar L., Saveetha Institute of Medical and Technical Sciences, Saveetha College of Liberal Arts &amp;amp; Sciences, Department of Commerce, Tamil Nadu, Kanchipuram, India; Chandirasekar B., Saveetha Institute of Medical and Technical Sciences, Saveetha College of Liberal Arts &amp;amp; Sciences, Department of Commerce, Tamil Nadu, Kanchipuram, India; Geethanjali N., Psna College of Engineering and Technology, Department of Management Studies, Tamil Nadu, Dindigul, India; Roja M.P., Psna College of Engineering and Technology, Department of Management Studies, Tamil Nadu, Dindigul, India; Salunkhe H.A., Christ University (Deemed to Be University), Department School of Business and Management, Bangalore, India</text>
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                <text>Are Women Employees in Engineering Institutions Suffer from the Stress: An Investigation Approach</text>
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                <text>and workplace; Faculty; Females; Stress management</text>
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                <text>Workplace stress could be detrimental to both the employer and its employees. The greatest ways to keep distress at bay in the workplace are via competent management and well-organized processes. Supervisors must recognize signs of staff distress and be prepared to provide assistance. Whenever an individual is confronted with job expectations and pressures exceeding their skillset and expertise, they experience stress connected to their employment. Workplace stress is common and could exacerbate stress when workers don't perceive they have the backing of management or coworkers in dealing with the challenges they face. The term 'stressed' is frequently used as a justification for ineffective management and inadequate supervision, even though it is typically caused by a misunderstanding of the difference between pressure and challenge. Stress and other forms of adversity are at an all-time high, both in the job and in personal life. Employee stress could be further exacerbated by things like job uncertainty, excessive hours, frequent changes, workload, and unattainable targets. The purpose of this article is to understand the variables that contribute to high-stress levels amongst female faculty members in engineering institutions strain in the job atmosphere. One's ability to manage stressful work situations, the amount of social help and assistance one receives, and the coping mechanisms one employs all play significant roles in how much stress one endures on the job. This research was done because it was necessary and important. In addition, women play a larger role in society than males do. This study suggests that women experience much high levels of stress than men do employment reasons, repercussions, roles and obligations of women faculty in engineering education, and possible remedies are all explored in this paper.   2023 IEEE.</text>
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                <text>Rani T.S.; Prathiba L.; Basha M.S.A.; Khangembam V.; Sucharitha M.M.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICONAT57137.2023.10080369" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICONAT57137.2023.10080369&lt;/a&gt;
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              <elementText elementTextId="175511">
                <text>Restricted Access</text>
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                <text>ISBN: 978-166547517-4</text>
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                <text>Rani T.S., Sri Padmavati Mahila Visvavidyalayam, Department of Communication and Journalism, Tirupati, India; Prathiba L., Ashoka Women's Engineering College, Department of M.B.A, Kurnool, India; Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to Be University), GITAM School of Business, Bengaluru, India; Khangembam V., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Sucharitha M.M., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India</text>
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                <text>Rani, V Uma. - 0935015</text>
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                <text>Feed is the largest input in any livestock enterprise and the rapid increase in feed prices and shortage of feed resources has been one of the major constraints for farmers, livestock industries, planners and the policy makers. This calls for prudent management of available resources and application of computing techniques can be one of the possible potential approaches. India is endowed with a wide range of feed resources varying widely in their composition and utility for different livestock species. Clustering of feed resource into different groups based on the composition can help in better feed management. To evaluate and to suggest a best technique for clustering feed resources, we have evaluated three clustering techniques viz. K-means, spectral k-means and auto spectral on two different data sets containing 236 and 106 feed resources with major constituents like crude protein, crude fiber ash, fat etc., .</text>
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                <text>Computer Science</text>
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                <text>CHRIST (Deemed To Be University)</text>
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                <text>Cutting across the Durand: Water dispute between Pakistan and Afghanistan on river Kabul</text>
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                <text>Afghanistan; Pakistan; River Kabul; River Kunar; transboundary waters</text>
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                <text>All nations firmly believe in the absolute sovereignty over the waters flow in their areas and that only riparian states have any legal right, apart from an agreement, to use the water from the shared river. To address some of their water concerns, the co-riparian states compete to have more quantity of waters. Significantly, no water agreement exists between upper riparian Afghanistan and lower riparian Pakistan, despite sharing nine big and small rivers. The simmering water dispute between them on the River Kabul is rarely noted mainly because it is overshadowed by their political tensions, differences, and the dispute over the Durand Line. Using an analytical framework, this article examines three aspects of the River Kabul water dispute: its context, identifying the challenges that hinder a formalized bilateral agreement from being implemented, and its future.  2020 Policy Studies Organization</text>
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                <text>In today's world, there's an enormous amount of information available on the Internet. Because of this, it's become really important to come up with better and smarter ways to search for things online. The old-fashioned methods, like just matching certain words or using statistics, don't work so well anymore. They often suggest web pages that are irrelevant. As the Semantic Web keeps getting bigger, it needs algorithms for the best fit. In this paper, a way to measure how different the words used for web search. This helps in suggesting the most relevant web pages. A special algorithm that can change its settings. Our proposed method demonstrates 94% accuracy.   2023 IEEE.</text>
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                <text>Recently, the world has experienced a big change due to the pandemic controlling our lives. The change is also experienced by the education sector. The pandemic has forced the whole system to go digital overnight. Although the learning system has been slowly moving towards digitalisation for a considerable period of time now, the social media platform is taking over the traditional method of learning. The study has 61 respondents and the data is collected through a questionnaire. The paper applies regression analysis with the help of SPSS. The development of digital learning platforms provides an alternative to offline learning. This recent spread of the e-learning environment was fast forwarded in the COVID period. The independent variables of the paper are professional skills and ethical proficiency in online learning. These challenges are evaluated, and their impact is assessed on the learning outcome. The chapter limits its approach to professional and ethical scales by ignoring the other important variables that decide the learning outcome of the students. However, the current body of literature has a very narrow approach to the learning system. So, the chapter inspires us to cover the gap through the proposed framework model for teaching practices in the digital era. The chapter intends to develop the teaching skills and moral conscience of the academicians and ease the learners into the new path of education. The future scope makes it definite for the growing learners to understand the advancement in technology and its repercussion on the skill development process.  2024 River Publishers. All rights reserved.</text>
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