286
20
16481
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Articles
Article
Faculty Publications -Articles
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Addiction treatment in India: Legal, ethical and professional concerns reported in the media
Subject
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addiction; content analysis; India; substance use disorders; treatment ethics
Description
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As per the Magnitude of Substance Use in India 2019 survey report, over 57 million of the Indian population is in need of professional help for alcohol use disorders and around 7.7 million for opioid use disorders. The increasing demand for addiction treatment services in India calls for professionalising every aspect of the field. Frequent human rights violations and various unethical practices in Indian addiction treatment facilities have been reported in the mass media. This study is a content analysis of newspaper reports from January 1, 2016 to December 31, 2019 looking into legal, ethical and professional concerns regarding the treatment of substance use disorders in India. The content analysis revealed various human rights violations, the use of improper treatment modalities, the lack of basic facilities at treatment settings, and the presence of unqualified professionals in practice. Indian Journal of Medical Ethics 2021.
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Joseph S.; Hemalatha K.
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Indian Journal of Medical Ethics, Vol-6, No. 4, pp. 306-313.
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Forum for Medical Ethics Society
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2021-01-01
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<a href="https://doi.org/10.20529/IJME.2021.030" target="_blank" rel="noreferrer noopener">https://doi.org/10.20529/IJME.2021.030</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119317517&doi=10.20529%2FIJME.2021.030&partnerID=40&md5=5315b8f381abc08cdf2bca61c51e2224" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119317517&doi=10.20529%2fIJME.2021.030&partnerID=40&md5=5315b8f381abc08cdf2bca61c51e2224</a>
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All Open Access; Hybrid Gold Open Access
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ISSN: 9748466; PubMed ID: 34666979
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Online
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English
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Article
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Joseph S., Department of Social Work, Christ Deemed to be University, Bangalore, India; Hemalatha K., Department of Sociology and Social Work, Christ Deemed to be University, Bangalore, India
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Articles
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Social groupwork for promoting psychological well-being of adolescents enrolled in sponsorship programs
Subject
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Empowerment; Intervention Research; Marginalized adolescents; Psychological well-being; Social group work
Description
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Background: The dearth of data on adolescents highlighted in the UN's data disaggregation against the agenda 'no one left behind' calls for research on 'the second decade'. Moreover, India is a country with the world's largest adolescent population, and as such, studies and policies for developing competencies of adolescents are crucial to the country's development; interventions instilling confidence to aspire to a better future in underprivileged adolescents are vital to mitigate inequity. Methods: This intervention study adopted a quasi-experimental design to measure the effectiveness of social groupwork in raising the psychological well-being of adolescents in child sponsorship programs in Kerala. Forty adolescents from a Child Sponsorship Program (CSP) center in Kochi were recruited for the study. Those suggested by the CSP center considering their poor academic performance and behavior problems were allocated to the intervention group and the rest to the comparison group. The intervention was designed in response to the information garnered through a preliminary study and administered to the intervention group (n=20). We conducted pre-test and post-test for both the intervention group and comparison group (n=20). Results: Comparison between pre- and post-measurements carried out using paired sample t-test for the intervention group and comparison group separately gave a p-value of <0.05 for the intervention group and >0.05 for the comparison group. Thus, it was proved that psychological well-being of participants in the intervention group was raised significantly due to the social group work intervention. Conclusions: Applying refined granularity, this research adds data specifically on adolescents enrolled in child sponsorship programs and sets a blueprint for social groupwork to improve their psychological well-being. Proposing a conceptual framework for child sponsorship programs, this study recommends further research in all aspects of its functioning, and interventions at group, family, and community levels, for the well-being and empowerment of marginalized adolescents. 2021 Joseph S and Karalam DSRB.
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Joseph S.; Karalam D.S.R.B.
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F1000Research, Vol-10
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F1000 Research Ltd
Date
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2021-01-01
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<a href="https://doi.org/10.12688/f1000research.52532.1" target="_blank" rel="noreferrer noopener">https://doi.org/10.12688/f1000research.52532.1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109510267&doi=10.12688%2Ff1000research.52532.1&partnerID=40&md5=e7848f062176858b665e9d6e83976919" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109510267&doi=10.12688%2ff1000research.52532.1&partnerID=40&md5=e7848f062176858b665e9d6e83976919</a>
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ISSN: 20461402; PubMed ID: 34316362
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Online
Language
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English
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Article
Coverage
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Joseph S., Department of Sociology and Social Work, CHRIST (Deemed to be) University, Bengaluru, Karnataka, 560029, India; Karalam D.S.R.B., Department of Sociology and Social Work, CHRIST (Deemed to be) University, Bengaluru, Karnataka, 560029, India
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Articles
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Faculty Publications -Articles
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Title
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Social Work Intervention Research in Child Sponsorship Programs: Enhancing Psychological Well-being of Marginalized Adolescents
Subject
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adolescents; child sponsorship program; psychological well-being; social group work; social work intervention research; underprivileged children
Description
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The Child Sponsorship Program (CSP) is critical to enhancing the objective and subjective well-being of enrollees. Meanwhile, social work interventions emphasize scientific approaches aimed at empowering marginalized populations. This intervention research (IR) was focused on raising the psychological well-being (PWB) of adolescents in a prominent CSP located in Kochi, Kerala. Preliminary findings from a pilot study underscored the need for intervention, and subsequent Delphi survey results guided the formulation of an intervention strategy. Capitalizing on the transformative power of peer groups, IR implemented a social group work intervention to enhance adolescent PWB in CSP. Using a nonequivalent comparison group interrupted time-series design, the PWB of participants in the intervention group (IG, N = 20) and comparison group (CG, N = 20) was measured and compared. Ryffs PWB scale with 42 items served as the assessment instrument. Descriptive statistics confirmed the normal distribution of baseline data for all participants (N = 40), while repeated measures ANOVA in SPSS 25 validated the alternative hypothesis, indicating significant differences in PWB measures over time within IG and between IG and CG. Additionally, along with statistical evidence of intervention effectiveness, this study used a qualitative design for ongoing evaluation of the intervention process, providing insights for program refinement and demonstrating intervention outcomes. By defining a model for group work intervention among CSP adolescents to improve PWB, this study underscores the important role of social work interventions in empowering marginalized populations. The Author(s) 2024.
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Joseph S.; Karalam S.R.B.; Mathew J.
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SAGE Open, Vol-14, No. 4
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SAGE Publications Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1177/21582440241305311" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/21582440241305311</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212409027&doi=10.1177%2F21582440241305311&partnerID=40&md5=b33a2206ada5e8ff00b4dfc9cf934595" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212409027&doi=10.1177%2f21582440241305311&partnerID=40&md5=b33a2206ada5e8ff00b4dfc9cf934595</a>
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All Open Access; Gold Open Access
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ISSN: 21582440
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Online
Language
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English
Type
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Article
Coverage
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Joseph S., Rajagiri College of Social Sciences (Autonomous), Kerala, Kochi, India; Karalam S.R.B., CHRIST (Deemed to be) University, Karnataka, Bengaluru, India; Mathew J., Rajagiri College of Social Sciences (Autonomous), Kerala, Kochi, India
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Articles
Article
Faculty Publications -Articles
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Title
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Knowledge society and the era of post-truth: Challenges to democracy
Subject
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Authoritarianism; Democracy; Knowledge Society; New media; Post-Truth; Power; Truth
Description
An account of the resource
The future of any country in the contemporary era lies in its ability to harness the knowledge potential. The fruits of knowledge society have transformed the terrain of social and political scenario of countries around the world. Democracy as a form of government, to be successful, requires a critically-engaged and politically literate population. Democracy, therefore, requires not only political literacy but also media and digital literacies given the influence of media in our lives. If democracy is viewed as a relationship between knowledge and power, there needs to be a strong distinction between the ideas, the truth of power and the power of truth. The term, 'Post-truth', signifies that objective facts have become less influential in shaping public opinion than appeals to emotion and personal beliefs. The political processes in various democracies seem to have become more managerial and technologically fixated. There has been significant erosion in the ideas of transparency of information and political leadership has become nothing but a propaganda exercise. The paper analyses how the information technology revolution and the surge of new media has impacted the political processes in democracies, and presents the phenomenon of post-truth as a threat to the modern democratic systems. 2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore).
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Joseph S.V.
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Journal of Dharma, Vol-44, No. 1, pp. 69-88.
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Dharma Research Association
Date
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2019-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081740282&partnerID=40&md5=d82faa110a710877503f9d109ee57ad9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081740282&partnerID=40&md5=d82faa110a710877503f9d109ee57ad9</a>
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Restricted Access
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ISSN: 2537222
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Online
Language
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English
Type
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Article
Coverage
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Joseph S.V., Department of International Studies and History, CHRIST (Deemed to be University), Bangalore, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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COOPERATIVE FEDERALISM IN A MULTINATIONAL COUNTRY: Examining the Case of Pakistan
Description
An account of the resource
Pakistan, as a multilingual and multiethnic country, has had to deal with issues of ethnic conflict and separatism. Cooperative federalism is used as a device by countries across the world to accommodate and manage the immense diversities they possess. This chapter examines the need for cooperative federalism in a multinational country like Pakistan to strengthen its federal model, ensuring that ethnic groups in the country do not feel insecure and alienated from the union, demanding secession. Beyond national security concerns, cooperative federalism in Pakistan will ensure economic security, human rights, social security, effective policymaking and much more, which form the basis of a welfare state. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors.
Creator
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Joseph S.V.; Prabhu J.R.
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Cooperative Federalism in South Asia and Europe: Contemporary Issues and Trends, pp. 228-245.
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Taylor and Francis
Date
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2023-01-01
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<a href="https://doi.org/10.4324/9781003461197-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003461197-18</a>
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ISBN: 978-100382628-6; 978-103245167-1
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Online
Language
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English
Type
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Book chapter
Coverage
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Joseph S.V., Department of International Studies, Political Science, and History, CHRIST (Deemed to be University), Bangalore, India; Prabhu J.R.
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Title
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Articles
Article
Faculty Publications -Articles
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India as a climate leader in the indo-pacific: challenges and opportunities
Subject
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climate change; climate leader; Indo-pacific; regional cooperation
Description
An account of the resource
The non-traditional security threats in the form of incessant floods, cyclones, and all-time rising sea levels in the Indo-Pacific region call for an integrated and constructive response led by a climate leader. Climate change is seen way beyond the lens of a mere environmental catastrophe having the potential to destabilize a nations economy and polity. The global state and non-state actors have acknowledged climate change to be an alarming global security threat. However, the failure of collective management of the climate crisis has mandated a responsible climate leader to monitor the mitigation efforts. In the context of initiatives like the National Solar Mission that envisages India to be a global leader in solar energy, the paper intends to weigh the possibilities for Indias role as a cogent climate leader in the Indo-Pacific region. It seeks to evaluate Indias climate leadership based on its green policies and assistance to Indo-Pacific countries. 2024 Indian Ocean Research Group.
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Joseph S.V.; Sadhasivam S.
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Journal of the Indian Ocean Region, Vol-19, No. 3, pp. 255-277.
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Routledge
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2023-01-01
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<a href="https://doi.org/10.1080/19480881.2024.2314176" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/19480881.2024.2314176</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186191687&doi=10.1080%2F19480881.2024.2314176&partnerID=40&md5=b4f2d4e2b67ac9097787e497cd25544e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186191687&doi=10.1080%2f19480881.2024.2314176&partnerID=40&md5=b4f2d4e2b67ac9097787e497cd25544e</a>
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Restricted Access
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ISSN: 19480881
Format
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Online
Language
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English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph S.V., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bangalore, India; Sadhasivam S., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bangalore, India
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https://archives.christuniversity.in/files/original/04592dcbb377f097b49f58cafb30f004.pdf
5019890e30536538dbfc43e4d61e63a5
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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A Study On The Effectiveness Of New Technology Integrated Teaching Of English Grammar On Achievement Of First Degree
Creator
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Joseph Saly
Date
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2014
Source
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Philosophy
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https://archives.christuniversity.in/files/original/645d8d5fa0e4872e515fb240fdf299be.pdf
6d87a7f2af392c09da6923502f440c57
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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The impact of catechism on the religiosity and self-esteem of adolescents in the diocese of mananthavady
Creator
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Joseph Siju
Date
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2014
Source
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Psychology
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Title
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Articles
Article
Faculty Publications -Articles
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Title
A name given to the resource
Supreme court dialogue classification using machine learning models
Subject
The topic of the resource
Legal classification model; Logistic classifier; Machine learning; Natural language processing; Nae Bayes model
Description
An account of the resource
Legal classification models help lawyers identify the relevant documents required for a study. In this study, the focus is on sentence level classification. To be more precise, the work undertaken focuses on a conversation in the supreme court between the justice and other correspondents. In the study, both the nae Bayes classifier and logistic regression are used to classify conversations at the sentence level. The performance is measured with the help of the area under the curve score. The study found that the model that was trained on a specific case yielded better results than a model that was trained on a larger number of conversations. Case specificity is found to be more crucial in gaining better results from the classifier. 2023 Institute of Advanced Engineering and Science. All rights reserved.
Creator
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Joseph T.; Adiyillam V.
Source
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International Journal of Electrical and Computer Engineering, Vol-13, No. 2, pp. 2350-2355.
Publisher
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Institute of Advanced Engineering and Science
Date
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2023-01-01
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<a href="https://doi.org/10.11591/ijece.v13i2.pp2350-2355" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v13i2.pp2350-2355</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 20888708
Format
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Online
Language
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English
Type
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Article
Coverage
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Joseph T., Department of Computer Science, Christ (Deemed to be University), Bengaluru, India; Adiyillam V., Department of Computer Science, Christ (Deemed to be University), Bengaluru, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Analysis of Multinomial Classification for Legal Document Categorization
Subject
The topic of the resource
Legal document classification; Machine learning; Natural language processing
Description
An account of the resource
A major area of research today is the application of Machine Learning Techniques for Document or Text Classification. Document Classification is an important aspect of Electronic Discovery in the Legal domain. The need for the process to be automated has been realized over the past few years. Multinomial Classification is a well-known Supervised Machine Learning Technique that helps us classify if there are more than two classes used for the purpose of Classification. Evaluation metrics such as Precision, Recall, and F1 Score have been used to measure the efficiency of Classification. Logistic Regression and Gradient Boosting Algorithms have outperformed other Multiclass Classification techniques. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Creator
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Joseph T.; Adiyillam V.
Source
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 177-183.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-0975-5_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_15</a>
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ISSN: 23673370; ISBN: 978-981970974-8
Format
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Online
Language
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English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph T., Research Scholar, Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Adiyillam V., Department of Statistics and Data Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Detection of Various Security Threats in IoT and Cloud Computing using Machine Learning
Subject
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Artificial Intelligence; Cloud Computing; COVID; Internet of Things (IoT); Machine Learning
Description
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Due to the growth of internet technology, there is a sharp rise in the growth of IoT enabled devices. IoT (Internet of Things) refers to the connection of various embedded devices with limited processing and memory. With the heavy adoption of IoT applications, cloud computing is gaining traction with the ever-increasing demand to process and compute a massive amount of data coming from various devices. Hence, cloud computing and IoT are often related to each other. However, there are two challenges in deploying the IoT and cloud computing frameworks: security and Privacy. This article discusses various types of security threats affecting IoT and cloud computing, and threats are classified using machine learning (ML). ML has gained much momentum in recent years and is applied in various domains. One of the main subdomains of machine learning is used in IoT and cloud security. A machine learning model can be trained with data based on which the model can predict the impending security threats. Popular security techniques to protect IoT devices from hackers are IoT authentication, access control, malware detection, and secure overloading. Supervised learning algorithms can be used to detect malware in the runtime behavior of applications. The malware is detected from network traffic and is labeled based on its suspicious behavior. Post identification of malware, the application data is stored in a database trained via an ML classifier algorithm (KNN or Random Forest). With increased training, the model can identify malware applications with higher accuracy. 2022 IEEE.
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Joseph T.A.; Jayapandian N.
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International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 - Proceedings, pp. 996-1001.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICSCDS53736.2022.9760791" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCDS53736.2022.9760791</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130090123&doi=10.1109%2FICSCDS53736.2022.9760791&partnerID=40&md5=046f6405b0fe607215c41d48ab635383" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130090123&doi=10.1109%2fICSCDS53736.2022.9760791&partnerID=40&md5=046f6405b0fe607215c41d48ab635383</a>
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ISBN: 978-166547884-7
Format
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph T.A., School of Engineering and Technology, Christ (Deemed to Be University), India; Jayapandian N., School of Engineering and Technology, Christ (Deemed to Be University), India
-
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Title
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Articles
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Faculty Publications -Articles
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Title
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Linear and non-linear analyses of electrothermo convection in a micropolar fluid
Subject
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Electrothermo convection; Heat transfer; Micropolar fluid; Nusselt number; Rayleigh number
Description
An account of the resource
The linear and weakly non-linear stability analyses of electrothermo convention in a micropolar fluid layer heated from below are studied. The linear and non-linear analyses are, respectively, based on normal mode technique and truncated representation of Fourier series. The influence of various parameters on the onset of convection has been analyzed in the linear case. The resulting autonomous Lorenz model obtained in non-linear analysis is solved numerically to quantify the heat transfer through Nusselt number. It is observed that the increase in concentration of suspended particles stabilizes the system and decreases the heat transfer and increase in electric Rayleigh number destabilizes the system and increases the heat transfer. 2017 Pushpa Publishing House, Allahabad, India.
Creator
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Joseph T.V.; Pranesh S.; Manjunath S.
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JP Journal of Heat and Mass Transfer, Vol-14, No. 4, pp. 461-484.
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Pushpa Publishing House
Date
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2017-01-01
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<a href="https://doi.org/10.17654/HM014040461" target="_blank" rel="noreferrer noopener">https://doi.org/10.17654/HM014040461</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044254467&doi=10.17654%2FHM014040461&partnerID=40&md5=7a174452cb310fd571e14118c5c1961f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044254467&doi=10.17654%2fHM014040461&partnerID=40&md5=7a174452cb310fd571e14118c5c1961f</a>
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ISSN: 9735763
Format
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Online
Language
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English
Type
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Article
Coverage
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Joseph T.V., Department of Mathematics, Christ University, Bangalore, India; Pranesh S., Department of Mathematics, Christ University, Bangalore, India; Manjunath S., Department of Mathematics, B N M Institute of Technology, Bangalore, India
-
https://archives.christuniversity.in/files/original/cd5a7246233a665a043a9244542e6a95.pdf
7207d9660d10244411b12fb9805db410
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Title
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MPHIL
Mphil
Mphil Thesis
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Title
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A STUDY ON THE INFLUENCE OF FAMILY ENVIRONMENT IN THE DEVELOPMENT OF AGGRESSIVE BEHAVIOR IN CHILDREN
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JOSEPH TIGI
Date
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2013
Source
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Social Work
Description
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This study designates the influence of family environment in the development of aggressive behavior in children. The purpose of the study was to find out how the family environment influences the aggressive behavior in children.
The study was conducted in 5 government aided schools run by the diocese of Mananthavady in Wayanad district of Kerala State. The study included fifty, 10 to 12 year old school going children and their mothers. Family environment scale was used to find the family environment of the children and Aggressive Questionnaire was used to find the level of aggression in children. The raw data were subjected to various statistical analyses.
The study brings in (1) the structure and systems in the families (2) the types and levels of aggression in children. The study found that 54 % of the children are with high aggression and 36 % of the children are with very high aggression. Over all the result found that the family environment has a significant role in the development of aggressive behavior in children. The more poor structure and systems in family environment creates the more aggressive children.
Key words: family environment, physical aggression, verbal aggression, anger, hostility.
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Joseph, A.; Dominic, C.
Title
A name given to the resource
EDGE INCIDENT 2-EDGE COLORING SUM OF GRAPHS
Date
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01-01-2025
Source
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Turkish World Mathematical Society Journal of Applied and Engineering Mathematics;Volume;15;Issue;1;pp.98-109
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<a href="https://www.scopus.com/pages/publications/85214305503?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85214305503?origin=resultslist</a>
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Joseph A., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India, Department of Mathematical Sciences, University of Essex, Essex, Colchester, CO4 3SQ, United Kingdom
Description
An account of the resource
The edge incident 2-edge coloring number, ?ein2(G), of a graph G is the highest coloring number used in an edge coloring of a graph G such that the edges incident to an edge e = uv in G is colored with at most two distinct colors. The edge incident 2-edge coloring sum of a graph G, denoted as (Formula presented.), is the greatest sum among all the edge incident 2-edge coloring of graph G which receives maximum ?ein2(G) colors. The main objective of this paper is to study the edge incident 2-edge coloring sum of graphs and find the exact values of this parameter for some known graphs. I??k University, Department of Mathematics, 2025; all rights reserved.
Subject
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Edge incident 2-edge coloring; edge incident 2-edge coloring number; edge incident 2-edge coloring sum
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Isik University
Relation
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ISSN: 21461147;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Joseph, Akash Varughese; Mariya, Isa; Thontadari, C.
Title
A name given to the resource
A Deep Learning Approach to Clinical Decision Support in Heart Disease Diagnosis
Date
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01-01-2025
Source
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Lecture Notes in Networks and Systems;Volume;1354 LNNS;pp.351-361
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<a href="https://doi.org/10.1007/978-981-96-4880-1_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4880-1_28</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019309862?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019309862?origin=resultslist</a>
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Joseph A.V., Department of Computer Science, Christ University, Bangalore, India; Mariya I., Department of Computer Science, Christ University, Bangalore, India; Thontadari C., Department of Computer Science, Christ University, Bangalore, India
Description
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Heart disease is the dominant cause of extinction worldwide, emphasizing the importance of early diagnosis and treatment planning. In this article, the authors developed a Clinical Decision Support System (CDSS) for heart disease prediction using deep learning techniques. This system will suggest a neural network architecture with Leaky ReLU as the activation function in the hidden layers and Sigmoid as the activation function in the output layer for binary classification. The configuration neural network is enhanced across three to nine hidden layers. The proposed approach is evaluated using accuracy as the measurable value on five multivariate datasets. By integrating advanced deep learning with clinical expertise, this study aims to enhance predictive accuracy, contributing to reduced heart disease mortality. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
The topic of the resource
Activation functions; Decision support system; Deep learning; Heart disease prediction; LeakyReLu; Medical diagnosis
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23673370; ISBN: 978-981964879-5;
Language
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English
Type
The nature or genre of the resource
Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
A name given to the resource
Faculty Publications
Note
Faculty Publications- notes
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Creator
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Joseph, Akhil P.
Title
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Reimagining digital mental health literacy from the Global South: a call for epistemic justice and innovation equity
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Frontiers in Psychiatry;Volume;16;Issue;;Article No.;1611988;
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<a href="https://doi.org/10.3389/fpsyt.2025.1611988" target="_blank" rel="noreferrer noopener">https://doi.org/10.3389/fpsyt.2025.1611988</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014946507?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014946507?origin=resultslist</a>
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Joseph A.P., Marian College Kuttikkanam Autonomous, Kuttikkanam, India, Christ (Deemed to be University), Bengaluru, India
Description
An account of the resource
[No abstract available]
Subject
The topic of the resource
cultural psychiatry; digital mental health literacy; epistemic justice; Global South; participatory action research
Publisher
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Frontiers Media SA
Relation
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ISSN: 16640640;
Language
A language of the resource
English
Type
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Notes
Rights
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All Open Access; Gold Open Access; Green Open Access
-
Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Joseph, Akhil P.; Babu, Anithamol
Title
A name given to the resource
The unseen dilemma of AI in mental healthcare
Date
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01-01-2025
Source
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AI and Society;Volume;40;Issue;3;pp.1533-1535
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<a href="https://doi.org/10.1007/s00146-024-01937-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00146-024-01937-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003306288?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003306288?origin=resultslist</a>
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Joseph A.P., Department of Sociology and Social Work, Christ (Deemed to be University), Bengaluru, India, School of Social Work, Marian College Kuttikkanam Autonomous, Kerala, Kuttikkanam, India; Babu A., School of Social Work, Marian College Kuttikkanam Autonomous, Kerala, Kuttikkanam, India, School of Social Work, Tata Institute of Social Sciences Guwahati Off-Campus, Assam, India
Description
An account of the resource
[No abstract available]
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 9515666;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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All Open Access; Bronze Open Access
Format
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online
-
Dublin Core
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/.
Title
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Faculty Publications
Article
Faculty Publications -Articles
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Joseph, Alina; Narayana, Sharmila
Title
A name given to the resource
Indigenous womens carework and environmental pedagogy in select contemporary native American fiction
Date
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01-01-2026
Source
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Environmental Education Research;
Identifier
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<a href="https://doi.org/10.1080/13504622.2026.2616706" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/13504622.2026.2616706</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028916664?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028916664?origin=resultslist</a>
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Joseph A., English Department, Christ University, Bangalore, India; Narayana S., Law Department, Christ University, Bangalore, India
Description
An account of the resource
This article explores how Indigenous womens fiction functions as a site of environmental education, reimagining pedagogy through relational ethics, affective care, and land-based knowledge. Drawing on The Night Watchman by Louise Erdrich (Chippewa), Crooked Hallelujah by Kelli Jo Ford (Cherokee), and The Removed by Brandon Hobson (Cherokee), the paper examines how storytelling, domestic labour, and ecological care become pedagogical practices that sustain cultural continuity. Grounded in Indigenous feminist and environmental humanities frameworks, the study integrates Leanne Betasamosake Simpsons (Michi Saagiig Nishnaabeg) concept of land as pedagogy, Mishuana Goemans (Tonawanda Band of Seneca) idea of spatial sovereignty, Kelli Keelers (Cherokee Nation) theorization of land as agent, and Beth Piatotes (Nez Perce) notion of the feminine everyday. Together, these theories reveal how the everyday practices of Indigenous women enact sustainable learning rooted in reciprocity and care. The analysis demonstrates that these literary works do not simply represent ecological consciousnessthey perform ittransforming narrative into a relational curriculum. By situating Indigenous storytelling within environmental education, the article argues that carework, kinship, and ecological reciprocity form a decolonial pedagogy aligned with Sustainable Development Goals (Quality Education), (Climate Action), and (Life on Land). 2026 Informa UK Limited, trading as Taylor & Francis Group.
Subject
The topic of the resource
ecofeminism; environmental humanities; Indigenous pedagogy; land-based education; material memory; storytelling and ecology
Publisher
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Routledge
Relation
A related resource
ISSN: 13504622;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Joseph, Alwin; Chandra, J.
Title
A name given to the resource
A Novel Preprocessing Model for Multi Modal Brain MRI image Classification for Stroke Prognosis
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Northeast Journal of Complex Systems;Volume;7;Issue;1;Article No.;4;
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<a href="https://doi.org/10.22191/nejcs/vol7/iss1/4" target="_blank" rel="noreferrer noopener">https://doi.org/10.22191/nejcs/vol7/iss1/4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000090114?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000090114?origin=resultslist</a>
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Joseph A., CHRIST University, Bangalore, India; Chandra J., CHRIST University, Bangalore, India
Description
An account of the resource
Magnetic Resonance Imaging (MRI) is an imaging technique used for the diagnosis and observing the progression in various neurological disorders. Stroke is one of the prominent neurological disorders that creates significant impacts in the patients. It occurs when the blood supply to part of the brain is interrupted or reduced, preventing brain tissues from getting oxygen and nutrients. Multimodal data from various modalities help clinicians in proper prognosis of stroke. Ischemic Stroke Lesion Segmentation Challenge (ISLES22) provides data of stroke data for various stroke patients, the dataset consists of three modalities of data Fluid Attenuated Inversion Recovery (FLAIR), Apparent Diffusion Coefficient (ADC) and Diffusion-Weighted Imaging (DWI). Multimodal data gives a comprehensive understanding of the brain and the stroke lesions. Complex algorithms and processing steps are required to ensure that the data is prepared for further processing. The objective of this experimental research is to create a novel multimodal preprocessing model that can be used for the preprocessing of the multimodal data from various MRI modalities (FLAIR, DWI and ADC). The proposed model supports the automatic removal of artefacts from the multimodal data, by identifying and applying the best preprocessing techniques for Image Registration (Affine or non-rigid transformations), Normalization (Z Score or min-max normalizations), Denoising Techniques (Gaussian, Median, Non-Local Means, or Anisotropic Diffusion filters) and Bias Field correction. The best technique is identified using the evaluation techniques of Dice Coefficient, Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM) and Root Mean Squared Error (RMSE). Preprocessing is critical process to improve the outcome of the subsequent analysis including segmentation. Here, we propose an Enhanced Image Registration and Artefact Correction (EIRAC) model with Best Image Registration Technique (BIRT) and Multiple Orientation Normalization Denoising and Bias field correction Parallelly (MONDBP) algorithms for the preprocessing of multimodal MRI images to provides better results for the segmentation of stroke lesions through Machine Learning models. 2025, Binghamton University Libraries. All rights reserved.
Subject
The topic of the resource
Complex Processing; Machine Learning; Magnetic Resonance Imaging; Multimodal Preprocessing; Preprocessing; Preprocessing Model; Stroke
Publisher
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Binghamton University Libraries
Relation
A related resource
ISSN: 25778439;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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All Open Access; Gold Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
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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/.
Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Joseph, Amal; Pambhar, Bansi; George, Allen; Kokatnoor, Sujatha Arun; Kumar, Sandeep
Title
A name given to the resource
Prediction of Next-Day Stock Price Using Stacked Ensemble Learning TechniquesAn Exploration of Model Compatibility
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems;Volume;1239 LNNS;pp.253-265
Identifier
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<a href="https://doi.org/10.1007/978-981-96-1188-1_19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-1188-1_19</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105008496219?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008496219?origin=resultslist</a>
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Joseph A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Pambhar B., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; George A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India
Description
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Trading professionals can make well-informed decisions about what to purchase or sell in order to maximize short-term gains by forecasting stock prices for the next day. This research study focuses on exploring the compatibility of ensemble learning techniques through stacking to predict next-day stock prices. The models involvedRandom Forest, Extra Trees, AdaBoost, and Gradient Boosting, were paired two at a time, and their predictions were used as inputs to a Multi-Layer Perceptron (MLP) Regressor, which served as the meta-learner. The results revealed that the combination of Extra Trees Regressor and Gradient Boosting outperformed the individual base models, due to their complementary strengths and ability to capture non-linear relationships effectively. However, other model combinations showed only average performance. This outcome was attributed to overlapping model strengths, leading to increase in error and overfitting. The findings highlight the importance of thoughtful model selection in ensemble methods and suggest that not all combinations are equally beneficial. Understanding the compatibility of different models is crucial to improving performance in ensemble learning. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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AdaBoost; Ensemble machine learning models; Extra trees; Gradient boosting; Multi-Layer Perceptron (MLP); Random forest; Stacking
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
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ISSN: 23673370; ISBN: 978-981961187-4;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library