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                <text>Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents</text>
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                <text>Adolescent; CNN; Deep learning; LSTM; Machine Learning algorithms; Stress</text>
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                <text>Stress is a psychological condition that people who are experiencing difficulties in their social and environmental well-being face, and it can cause several health problems. Young individuals experience major changes during this crucial time, and they are expected to succeed in society. It's critical for people to master appropriate stress management techniques to ensure a smooth transition into adulthood. The transition to new settings, lifestyles, and interactions with a variety of people, things, and events occurs during adolescence. In this study, a dataset was utilized to classify 520 Indian individuals' stress levels into three categories: normal, moderate, and severe. Support Vector Machines, KNN, Decision Trees, Naive Bayes and CNN were among the different classification techniques that were taken into consideration. The CNN Algorithm was found to be the most reliable method for categorizing diseases linked to mental stress. The study's main goal is to create a classification model that can correctly classify a variety of samples into distinct levels of psychological discomfort.  2023 IEEE.</text>
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                <text>Rappai S.; Gobi R.</text>
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                <text>4th International Conference on Communication, Computing and Industry 6.0, C216 2023</text>
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                <text>Rappai S., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; Gobi R., Department of Computer Science, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model</text>
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                <text>adolescents; Convolutional neural network; machine learning; neural networks; suicide detection; suicide ideation</text>
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                <text>Teenage suicidal ideation is on the rise, which emphasizes how crucial it is to recognize and comprehend the variables that contribute to this problem. Convolutional neural networks (CNNs), which are complex machine learning models capable of analysing intricate relationships within a network, are one possible strategy for addressing this issue. In our study, we employed a CNN-LSTM hybrid model to explore the complex relationships between teen suicide ideation and various risk variables, including depression, anxiety, and social support by analysing a substantial dataset of mental health surveys, seeking patterns and risk factors associated with suicidal thoughts. Our objective was clear: identify adolescents prone to suicidal ideation. With 24 parameters and a sample size of 3075 subjects, our model achieved an impressive F1-score of 97.8%. These findings provide valuable insights which helps in developing effective preventive interventions to address adolescent suicidal ideation, finding out the important patterns and risk variables related to suicidal thoughts. The study results offer important direction for developing preventive interventions that successfully address adolescent suicidal ideation.  2024 - IOS Press. All rights reserved.</text>
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                <text>Rappai S.; Ramasamy G.</text>
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                <text>Intelligent Decision Technologies, Vol-18, pp. 1797-1811.</text>
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                <text>Rappai S., Department Of Computer Science, Christ (Deemed To Be University), Karnataka, Bangalore, India; Ramasamy G., Department Of Computer Science, Christ (Deemed To Be University), Karnataka, Bangalore, India</text>
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                <text>Computational Methods to Predict Suicide Ideation among Adolescents</text>
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                <text>deep learning; machine learning; mental health; neural network analysis; suicide ideation; suicide prevention; suicide risk</text>
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                <text>Suicide has been a prominent cause of death worldwide, regardless of age, sex, geography, and so on, and predominantly suicide among teens, increased as the years have passed. Suicide ideation, suicide risk, suicide attempts have been studied extensively, and the most common cause has been identified as depression, followed by familial concerns, hereditary factors, stress, avoidance fear, and a variety of other variables. When visited by a doctor, most adolescents are unaware of their mental state and hence do not take action on their own or are not assisted by family or peer members to overcome their fear of social stigma or the treatment they must undergo. According to popular belief, early treatment and detection are the most effective ways to reduce the risk of suicide. As a result, the focus of this study is to illustrate some of the computational strategies utilized in deep learning and machine learning fields to detect kids at risk of suicide   2022 IEEE.</text>
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                <text>Rappai S.; Ramasamy G.</text>
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                <text>Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022</text>
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                <text>Rappai S., Christ(Deemed to Be University), Department of Computer Science, Bengaluru, India; Ramasamy G., Christ(Deemed to Be University), Department of Computer Science, Bengaluru, India</text>
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                <text>Moving Image Review &amp; Art Journal (MIRAJ), Vol.7, Issue 2, pp.191-201, ISSN No: 2045-6298.</text>
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                <text>Enhanced Data Security Architecture in Enterprise Networks</text>
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                <text>Encryption and storing important information is one of the risky and most challenging tasks. It is the need of the hour in todays fast growing technological transformations that the world is undergoing. A simple Enterprise network is the communication backbone of any organization. It mostly provides better information storage and efficient retrieval, which helps the organization to function smoothly, without having to think twice about their crucial datas security aspects. The information technology paradigm, cloud computing is used to help the organization to focus on its core business. In cloud computing is dealing with many services. That service is used for provide Platform service with infrastructure and software service. This paper, promotes the idea of combining various security and encryption algorithms to connect different enterprise networks using cloud computing, security layer concepts and giving no room for hackers to intrude into the confidential system of data.  Springer Nature Switzerland AG 2020.</text>
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                <text>Rashmi Shree V.; Antony Z.C.F.; Jayapandian N.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-31, pp. 857-864.</text>
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                <text>ISSN: 23674512</text>
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                <text>Rashmi Shree V., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Antony Z.C.F., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Survey study on the methods of bird vocalization classification</text>
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              <elementText elementTextId="188824">
                <text>Bird Sound Classification; Bird vocalization; Context Aware System; Human Computer Interaction; Signal Processing</text>
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                <text>The technologies holds the ability to change the world. Current digital era is a product of the evolutionary technologies. It created the necessity to increase the Human Computer Interaction (HCI) and it became one of the most emerging research areas of the decade. HCI is an interface between the users and the system to improve the interaction. HCI concept came into existence in early 1980's. One of the emerging new research area in HCI is Context Aware System (CAS). The technological advancements in HCI created a new outlook in the research of CAS. CAS is a system which understand the user, their surroundings, and location. CAS make this possible by processing the environmental and bio-acoustic. Sound is one of the important media for both humans and animals to communicate and understand information. Bird sound, vehicle sound, wind sound etc. are some of the environmental and bio acoustics. Processing these sounds or signals will help us to create a better performing CAS. This paper profiles a survey study on bird sound classification and identification. Automatic identification of bird sound is one among the difficult task in signal processing. Also, the paper will profile the previous research works on various phases in bird vocalization processing; such as preprocessing, feature selection and classification.  2016 IEEE.</text>
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                <text>Rassak S.; Nachamai M.; Krishna Murthy A.</text>
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              <elementText elementTextId="188827">
                <text>2016 IEEE International Conference on Current Trends in Advanced Computing, ICCTAC 2016</text>
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              <elementText elementTextId="188828">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCTAC.2016.7567337" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCTAC.2016.7567337&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991678432&amp;amp;doi=10.1109%2FICCTAC.2016.7567337&amp;amp;partnerID=40&amp;amp;md5=2085dbf70b690f1901c85b53b3762ada" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991678432&amp;amp;doi=10.1109%2fICCTAC.2016.7567337&amp;amp;partnerID=40&amp;amp;md5=2085dbf70b690f1901c85b53b3762ada&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="188831">
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                <text>ISBN: 978-150901936-6</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="188834">
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                <text>Rassak S., Dept. of Computer Science, Christ University, Bangalore, India; Nachamai M., Dept. of Computer Science, Christ University, Bangalore, India; Krishna Murthy A., Dept. of Computer Science, Christ University, Bangalore, India</text>
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            <element elementId="50">
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          <element elementId="50">
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              <elementText elementTextId="135927">
                <text>Re-evaluating Emperor Asoka a relational contract theory explanation for economic transformation</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="135928">
                <text>Asoka; Economic transformation; Edicts; Enforcement; Incompleteness; Iteration; Relational contracts</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="135929">
                <text>Emperor Asoka's rein is considered an important era in ancient Indian history because of the vastness of his empire and the Buddhist elements in his administration. We propose that in addition to these reasons for highlighting Asoka's rein, there is an important economic argument as well. It was during the century or two around Asoka's rule that the subcontinent's economy underwent a transformation from a simple pastoralagricultural economy to a more mature economy with large scale production, specialisation and trade. The element that Asoka introduced into the social relations in his empire is Buddha's Dhamma, which formed and strengthened relational contracts. A key feature of relational contracts is incompleteness of arrangements that is managed by social iterations and formal and informal enforcement mechanisms. Each of these is reflected in Asoka's edicts, the earliest surviving writing samples from the subcontinent. Asoka planned for these measures to ensure political and economic stability. In addition, he also laid the most important foundational material in a rather unique way for all future economic transformations.  2017 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore).</text>
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              <elementText elementTextId="135930">
                <text>Rassendren G.; Bharat S.</text>
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              <elementText elementTextId="135931">
                <text>Journal of Dharma, Vol-42, No. 2, pp. 179-200.</text>
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              <elementText elementTextId="135932">
                <text>Dharmaram College, Centre for the Study of World Religions</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-s2.0-85033797935&amp;amp;partnerID=40&amp;amp;md5=885dac10ea1bf7d90dc36986ea8efb70" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033797935&amp;amp;partnerID=40&amp;amp;md5=885dac10ea1bf7d90dc36986ea8efb70&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="135935">
                <text>Restricted Access</text>
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              <elementText elementTextId="135936">
                <text>ISSN: 2537222</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="135938">
                <text>English</text>
              </elementText>
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          </element>
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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="135940">
                <text>Rassendren G., Department of Economics, Christ University, India; Bharat S., Department of Economics, Christ University, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <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>
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          <element elementId="50">
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                <text>Corporate social responsibility: Myth and reality</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="138405">
                <text>Corporate social responsibility (CSR); Ethical conflicts; Self interest and profit</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="138406">
                <text>Companies nowadays strive to be socially conscious in the way they do business by taking up corporate social responsibility (CSR) activities besides maintaining profitability. Similarly consumers modulate their purchase choices to be made up of products that have been produced and marketed through socially responsible processes. But the congruence between achieving gain and being responsible to the community has ethical contradictions due to the presence of self interest. This paper proposes to examine the dimensions of this conflict and towards the end suggest a new orientation that foregrounds social responsibility relative to profit or gain.  2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore).</text>
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              <elementText elementTextId="138407">
                <text>Rassendren G.; Prasad T.S.</text>
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                <text>Economists conceived the discipline of economics to be a science of social relations. In fact they believed that social relations between individuals are moderated and regulated. The Physiocratic, Classical and Neo - classical school which firmly believed in human liberty considered this moderation to be a matter of self regulation1 and also that the laws controlling human association to be as clear as the laws of geometry. Contrary to this economists belonging to the utopian common wealth, and the Marxists school believed the same can be dealt out only through social control by the state.2 Irrespective of ones  allegiance to any school of economic thought, human behaviour is central to the study of economics and to its place in knowledge structures as a social science.</text>
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                <text>Today market participants' choice behaviour has multiple objectives. Consumers through their purchase choices attempt to achieve both materialistic improvement and social betterment resulting in a phenomenon called Consumer Social Responsibility (CnSR). However there is very limited research on how consumers can impact corporate social responsibility (CSR) through their buying behaviour. This study seeks to explore whether consumers' awarenes  of CSR affects their purchase intent and if their knowledge of CSR situations would induce them to pay premium for such a product.</text>
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                <text>The demands in today's organizations are only growing at peaking high levels where turnover and burnout sets out to be major factors that challenge productivity. This is supported by previous findings which have identified turnover and burnout as a consequence of job demands. In today's demanding era of workforce, capacity to work effectively is a key component of employee's health, well-being and growth. Positive emotional and mental state of employees is a predictor of positive organization which will result in high performance, wellbeing and a conducive environment to flourish. Present study deals with workflow and its relationship with employee`s flourishing. This paper aims to explore the relationship between flourishing and experiences of work flow among working adults (n=105). Relationship among variables was analyzed through correlation and regression analysis. Results indicate that there is significant positive correlation between flourishing and experience of work flow (r (105) = 0.49, p&amp;lt;.01) and experience of work flow predicts the flourishing among employees.  2021 Ecological Society of India. All rights reserved.</text>
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                <text>While investing, it is most important for an investor that he/she understand and follows the basic principles of investing to gain maximum advantages out of it. The present study analyzes the investment behavior of 190 economically weaker section (EWS) investors and rank their preferences and reasons using Garret ranking. The study observes that investors prefer to invest in traditional investment avenue over modern avenue due to lack of awareness and ease of investing across demographics. Results of ANOVA inform a small shift to mutual funds and change in perceived risk and return behavior in selected age, income and education category. The study recommends for opening of dedicated small financial planning centers/branches/kiosks etc to increase their awareness level and participation so that they can gain maximum advantages from their investment.  The Electrochemical Society</text>
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