365 20 16481 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 A name given to the resource Faculty Publications Note Faculty Publications- notes 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/. Creator An entity primarily responsible for making the resource Paul, Susmita; Rai, Pratiksha Title A name given to the resource Fair skin, unfair trade and invisible victims 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 Round Table;Volume;114;Issue;3;pp.335-337 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00358533.2025.2473479" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00358533.2025.2473479</a> <a href="https://www.scopus.com/pages/publications/105001930284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001930284?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paul S., Ph.D. Scholar, Department of International Studies, Political Science and History, Christ University, Bangalore, India; Rai P., Ph.D. Scholar, Department of International Studies, Political Science and History, Christ University, Bangalore, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 358533; Language A language of the resource English Type The nature or genre of the resource Notes Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Faculty Publications Note Faculty Publications- notes 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/. Creator An entity primarily responsible for making the resource Paul, Susmita; Rai, Pratiksha Title A name given to the resource Fair skin, unfair trade and invisible victims 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 Round Table;Volume;114;Issue;3;pp.335-337 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00358533.2025.2473479" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00358533.2025.2473479</a> <a href="https://www.scopus.com/pages/publications/105001930284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001930284?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paul S., Ph.D. Scholar, Department of International Studies, Political Science and History, Christ University, Bangalore, India; Rai P., Ph.D. Scholar, Department of International Studies, Political Science and History, Christ University, Bangalore, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 358533; Language A language of the resource English Type The nature or genre of the resource Notes Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource George, Agnus Maria; Kavitha, R.; Kumar, Dalvin Vinoth Title A name given to the resource Fairness-Aware and Interpretable Depression Detection on Social Media Using BERT with Gender Bias Mitigations 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 2025 17th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2025;pp.1973-1979 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CICN67655.2025.11368263" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CICN67655.2025.11368263</a> <a href="https://www.scopus.com/pages/publications/105034683213?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034683213?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George A.M., CHRIST (Deemed to Be University), Bangalore, India; Kavitha R., CHRIST (Deemed to Be University), Bangalore, India; Kumar D.V., CHRIST (Deemed to Be University), Bangalore, India Description An account of the resource Reddit and similar social media platforms offer substantial information regarding mental health issues. The automatic detection of depression raises different issues pertaining to fairness and transparency. This paper presents a Fairness Aware and Interpretable Depression Detection framework that utilizes BERT and incorporates an explicit gender bias mitigation mechanism. Data were obtained from gender-specific forums on Reddit. The Mistral language model based classifier was used to set a high confidence threshold, which helped in inferring gender labels while both depressed and non-depressed were among the patients assigned the labels. A balanced dataset with four groups (Depressed-Male, Depressed-Female, NonDepressed-Male, NonDepressed-Female) was prepared. Two pipelines were carried out where one involved a baseline BERT classifier while the other employed a fairness aware BERT model that incorporated gender embeddings during the training phase. The models were assessed using accuracy, precision, recall, F1 score, and confusion matrices and the fairness metrics applied were Demographic Parity Difference (DPD) and Equal Opportunity Difference (EOD). To enhance the model's reasoning transparency, SHAP was applied due to its capability to provide clear and comprehensive explanations. The results indicated that the fairness centered model effectively reduced gender biasness and equalized error rates among the different groups without losing its original accuracy. The essential point is that the model had learned to give precedence to clinical indicators over gender specific language. This study suggests a roadmap for the creation of ethical AI by combining fairness, interpretability and high performance into a seamless framework. 2025 IEEE. Subject The topic of the resource BERT; Depression detection; Fairness aware machine learning; Gender bias mitigation; Interpretability; Social media Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158733-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter 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 A name given to the resource Faith and culture in education: Fostering inclusive environments Description An account of the resource This chapter explores the role of faith and religious diversity in educational practices, focusing on creating and sustaining inclusive environments. Educators can foster a sense of belonging for students from diverse backgrounds by understanding the importance of faith-based education, creating safe spaces for discussion around faith and culture, and promoting inclusivity. The chapter examines the impact of exclusion and discrimination on students from diverse faith backgrounds and offers strategies for promoting diversity and inclusion in the classroom and school community. By embracing diversity and promoting inclusivity, we can create positive and productive learning environments that celebrate diversity and encourage respect for all students. The chapter concludes with a call to action for educators to create inclusive environments that value diversity and promote respect for all students. 2023 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Singha R.; Singha S. Source A related resource from which the described resource is derived The Role of Faith and Religious Diversity in Educational Practices, pp. 149-172. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-9184-3.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9184-3.ch007</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173517228&doi=10.4018%2F978-1-6684-9184-3.ch007&partnerID=40&md5=8ba02bd0ea80a1fe93f1120c8a256a53" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173517228&doi=10.4018%2f978-1-6684-9184-3.ch007&partnerID=40&md5=8ba02bd0ea80a1fe93f1120c8a256a53</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849185-0; 978-166849184-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singha R., Christ University (Deemed), India; Singha S., Kristu Jayanti College (Autonomous), India 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 A name given to the resource Faculty Publications Article Faculty Publications -Articles 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/. Creator An entity primarily responsible for making the resource Sujana, D. Swainson; Augustine, D. Peter Title A name given to the resource FaithfulNet: An explainable deep learning framework for autism diagnosis using structural MRI 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 Brain Research;Volume;1866;Issue;;Article No.;149904; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.brainres.2025.149904" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.brainres.2025.149904</a> <a href="https://www.scopus.com/pages/publications/105014541873?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014541873?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sujana D.S., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bangalore, 560 029, India; Augustine D.P., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bangalore, 560 029, India Description An account of the resource Explainable Artificial Intelligence (XAI) can decode the black box models, enhancing trust in clinical decision-making. XAI makes the predictions of deep learning models interpretable, transparent, and trustworthy. This study employed XAI techniques to explain the predictions made by a deep learning-based model for diagnosing autism and identifying the memory regions responsible for children's academic performance. This study utilized publicly available sMRI data from the ABIDE-II repository. First, a deep learning model, FaithfulNet, was developed to aid in the diagnosis of autism. Next, gradient-based class activation maps and the SHAP gradient explainer were employed to generate explanations for the model's predictions. These explanations were integrated to develop a novel and faithful visual explanation, Faith_CAM. Finally, this faithful explanation was quantified using the pointing game score and analyzed with cortical and subcortical structure masks to identify the impaired brain regions in the autistic brain. This study achieved a classification accuracy of 99.74% with an AUC value of 1. In addition to facilitating autism diagnosis, this study assesses the degree of impairment in memory regions responsible for the children's academic performance, thus contributing to the development of personalized treatment plans. 2025 Elsevier B.V. Subject The topic of the resource Autism diagnosis; Grad_CAM; SHAP; sMRI; XAI Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 68993; CODEN: BRREA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource 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 A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Kundu, Baidurjyo; Nagariya, Ramji Title A name given to the resource Fake news and its impacts on businesses: Political communication, propaganda, and economic implications 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 Digital Populism and the Use of Neo-Propaganda and Fake News;pp.323-356 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9999-6.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9999-6.ch014</a> <a href="https://www.scopus.com/pages/publications/105008835686?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008835686?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kundu B., Christ University, India; Nagariya R., Christ University, India Description An account of the resource Fake news and disinformation have become powerful tools in political communication, particularly in the context of populism and digital propaganda. While misinformation has always been part of political strategy, digital platforms have intensified its spread, allowing political actors to construct narratives that manipulate public opinion, mobilize support, and delegitimize opponents. This study examines fake news as a politically constructed phenomenon, exploring how digital populism and propaganda use disinformation to reinforce ideological divides and influence democratic processes. Using a constructivist framework, we analyze how fake news is socially produced and legitimized within political discourse, shaping perceptions of truth and power. We also investigate how major social media platforms profit from misinformation while simultaneously positioning themselves as arbiters of truth. By focusing on the intersection of political communication, propaganda, and economic incentives, this research highlights the role of digital media in sustaining misinformation ecosystems. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730001-6; 979-836939999-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Articles Article Faculty Publications -Articles 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 A name given to the resource Fake news and social media: Indian perspective Subject The topic of the resource Facebook; Fake news; India; Media law; Policy; Social media; WhatsApp Description An account of the resource The unlimited freedom made social media platforms are susceptible to misuse, misinformation, and thus, fake news. In the last few years, social media has turned out to be a massive player in shaping public discourse in a democratic space (Marda & Milan, 2018). Though there have been pressures from policymakers on service/platform providers, nothing concrete has built up towards accountability of the user or platform proprietors. In India, there has been a consistent increase of social media users and instances of the misuse of this medium. This paper seeks to examine how the propagation of fake news has disrupted the public sphere and possible policies that can be implemented to curb the plague of fake news. The relationship between various events of violence reported in India media and the role of fake news in instigating chaos are discussed in this paper. It also tries to review policies initiatives taken by various countries, especially in Europe and possible measures which India could take to restrict the flow of fake news. Media Watch. Creator An entity primarily responsible for making the resource Bali A.; Desai P. Source A related resource from which the described resource is derived Media Watch, Vol-10, No. 3, pp. 737-750. Publisher An entity responsible for making the resource available Media Watch Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.15655/mw/2019/v10i3/49687" target="_blank" rel="noreferrer noopener">https://doi.org/10.15655/mw/2019/v10i3/49687</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070763809&doi=10.15655%2Fmw%2F2019%2Fv10i3%2F49687&partnerID=40&md5=5257b72b421441afa40d536bda062c18" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070763809&doi=10.15655%2fmw%2f2019%2fv10i3%2f49687&partnerID=40&md5=5257b72b421441afa40d536bda062c18</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access; Green Open Access Relation A related resource ISSN: 9760911 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Bali A., Christ University, India; Desai P., Christ University, India 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 A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A name given to the resource Fake News Detection and Classify the Category Subject The topic of the resource Artificial Intelligence Algorithm; Distillbert; Fake news; Identification; Multinomial Nae Bayes; Natural Language Processing Description An account of the resource A new type of disinformation has emerged: fake news, or untrue stories that have been presented as actual occurrences. We can no longer tell whether the information is true from fraudulent since so much information is published on social media these days. Artificial intelligence algorithms are helpful in resolving the fake news identification issue. In the field of natural language processing, fake news identification is a crucial yet difficult issue (NLP). In this article, we discuss similar duties as well as the difficulties associated with finding bogus news. Based on these findings, we suggest intriguing avenues for future study, such as developing more accurate, thorough, fair, and useful detection models. The average public's life is impacted by mass media since it happens regularly. Because of this, news stories are written that are somewhat true or even entirely untrue. Using online social networking sites, people deliberately promote these fake goods. It is crucial to decide whether the news is false owing to its potential to have detrimental social and national effects. The false news identification process made use of many criteria, including the headline and body content of the news piece. The suggested method works effectively in terms of producing results with excellent accuracy, precision, and memory. Comparing all the models employed in this study, it was discovered that Distillbert and multinomial nae bayes models perform better than Logistic and others ml models. The credibility of the story may be evaluated using a larger dataset for better results and additional variables like the author and publisher of the news. Grenze Scientific Society, 2023. Creator An entity primarily responsible for making the resource Mitra P.; Jacob L. Source A related resource from which the described resource is derived 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 2053-2065. Publisher An entity responsible for making the resource available Grenze Scientific Society Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174225258&partnerID=40&md5=b7a6298ff981f1c0b761da29a55e9bc7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174225258&partnerID=40&md5=b7a6298ff981f1c0b761da29a55e9bc7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Mitra P., Department of Data Science, Christ University, Pune, Lavasa Campus, Pune, India; Jacob L., Department of Data Science, Christ University, Pune, Lavasa Campus, Pune, India 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 A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A name given to the resource Fake News Detection and Classify the Category Subject The topic of the resource Artificial Intelligence; Logistic Regression; Machine Learning; Multi-layer Perceptron; Natural Language Processing; Random Forest; Support Vector Machine Description An account of the resource Everyone depends on numerous sources of E-news in today's world when the internet is ubiquitous. Online content abounds, especially social media feeds, many of which are unreliable and may not always be factual. For people to utilise social media platforms like Facebook, Twitter, and others, fake news is a topic that may be studied through Natural Language Processing techniques. Using ideas from natural language processing and machine learning applied to social media, our goal in this work is to conduct categorization of different news items that are available online. Our intention is to empower the user to utilise NLP (Natural Language Processing) methods to identify 'fake news,' which refers to misinformed material that may be categorised as genuine or false using software like Python. The model focuses on identifying false news sources based on several articles from a website, categorising the news as false or true, and determining its veracity using unreliable sources like scikit-learn and NLP for textual analysis of the website distributing the news. When a source is identified as a publisher of false news, which can be predicted with high vectorization and also suggested using the Python scikit-learn module to do tokenization and feature development, biased viewpoints may be identified and categorised in any subsequent articles from that source. 2022 IEEE. Creator An entity primarily responsible for making the resource Mitra P.; Jacob L. Source A related resource from which the described resource is derived 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT54229.2022.10041596" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT54229.2022.10041596</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149182145&doi=10.1109%2FTQCEBT54229.2022.10041596&partnerID=40&md5=00e69431597f7985c16388c24548f01e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149182145&doi=10.1109%2fTQCEBT54229.2022.10041596&partnerID=40&md5=00e69431597f7985c16388c24548f01e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545361-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Mitra P., Christ University Pune, Lavasa Campus, Department of Data Science, Pune, India; Jacob L., Christ University Pune, Lavasa Campus, Department of Data Science, Pune, India 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 A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Hormese, Tessa; Rajesh, R. Title A name given to the resource Fake News Detection in Healthcare Using Machine Learning 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 Mathematics and Computer Science for Real-World Applications;pp.235-250 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394275359.ch15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394275359.ch15</a> <a href="https://www.scopus.com/pages/publications/105013712230?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013712230?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hormese T., Department of Statistics and Data Science, Christ (Deemed to be University), Bangalore, India; Rajesh R., Department of Statistics and Data Science, Christ (Deemed to be University), Bangalore, India Description An account of the resource The internet has revolutionary power in todays society, acting as an unmatched catalyst for technical innovation, worldwide connectedness, and information dissemination. It has transformed communication and made knowledge more accessible to all, and given people, companies, and society the tools they need to prosper in the connected digital world. However, this power is responsible for navigating issues, such as the proliferation of fake news and safeguarding information integrity. As peoples health comes first, false information about it might have disastrous consequences. Even for the most knowledgeable professionals in the field, identifying false information about health can be difficult because of the variety of factors that must be considered. New advances in machine learning have enabled automatic classification of bogus news. For the detection of fake news correctly, we must train the automation in such a way that it captures the bogus correctly, and for that the data we input is of at most importance and, in fact, the most important as well. To enhance the models capacity to discern between authentic and fake news, this study investigates the extraction of structural and semantic information from text using a combination of named entity recognition and syntactic parsing. Utilizing these characteristics, we trained a variety of machine learning algorithms, assessed their effectiveness, and found that the Random Forest classifier outperformed the others in classification. 2025 Scrivener Publishing LLC. Subject The topic of the resource Fake news; Healthcare; Natural language processing; Vectorization Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139427535-9; 978-139427532-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A name given to the resource Fake News Detection using Machine Learning and Deep Learning Hybrid Algorithms Subject The topic of the resource Convolutional neural networks; Fake news; Hybrid model; Long short-term memory Description An account of the resource Spreading misinformation or fake news for personal, political, or financial gain has become very common these days. The influence of this misinformation on peoples opinions can be significant, i.e., the 2016 presidential election in the United States was a perfect illustration of how false news may be used to deceive people. In todays fast-paced world, automatic detection of fake news has become an importantrequirement. In this paper, multiple machine learning algorithms have been implemented to perform classification. A proposition of a hybrid architecture consisting of CNN along with LSTM has also been made. The proposed model outperforms the other traditional approaches. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Saha A.; Thomas K.T. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 447-456. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-2211-4_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135067536&doi=10.1007%2F978-981-19-2211-4_40&partnerID=40&md5=97dbdcbdc9db64878174301d3c1700b6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135067536&doi=10.1007%2f978-981-19-2211-4_40&partnerID=40&md5=97dbdcbdc9db64878174301d3c1700b6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Saha A., Department of Data Science, Christ (Deemed to be University), Bangalore, India; Thomas K.T., Department of Data Science, Christ (Deemed to be University), Bangalore, India 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 A name given to the resource Articles Article Faculty Publications -Articles 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 A name given to the resource Fake News Detection Using TF-IDF Weighted with Word2Vec: An Ensemble Approach Subject The topic of the resource Convolutional Neural Networks; Machine learning; TF-IDF Weighted Vector; Word2Vec Description An account of the resource Social media platforms' utilization for news consumption is steadily growing due to their accessibility, affordability, appeal, and ability to propagate misinformation. False information, whether intentionally or unintentionally created, is being disseminated across the internet. Certain individuals spread inaccurate information on social media to gain attention, financial benefits, or political advantage. This has a detrimental impact on a substantial portion of society that is heavily influenced by technology. It is imperative for us to develop better discernment in distinguishing between fake and genuine news. In this research paper, we present an ensemble approach for detecting fake news by using TF-IDF Weighted Vector with Word2Vec. The extracted features capture specific textual characteristics, which are converted into numerical representations for training the models and balanced dataset with the Random over Sampling technique. The implementation of our proposed framework utilized the ensemble approach with majority voting which combines 2 machine learning models like Random Forest and Decision Tree. The proposed strategy was adopted empirically evaluated against contemporary techniques and basic classifiers, including Gaussian Nae Bayes, Logistic Regression, Multilayer Perceptron, and XGBoost Classifier. The effectiveness of our approach is validated through the evaluation of the accuracy, F1-Score, Precision, Recall, and Auc curve, yielding an impressive accuracy score of 94.24% on the FakeNewsNet dataset. 2023, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Khan Z.A.; Rekha V. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 3, pp. 1065-1076. Publisher An entity responsible for making the resource available Ismail Saritas Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174857890&partnerID=40&md5=fffe94079b40d894912d13c37d245571" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174857890&partnerID=40&md5=fffe94079b40d894912d13c37d245571</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Khan Z.A., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Rekha V., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India 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 A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A name given to the resource Fake News Detection: An Effective Content-Based Approach Using Machine Learning Techniques Subject The topic of the resource Fake News; Machine Learning; Natural Language Processing; Passive-Aggressive Classifier; Support Vector Classifier; Voting Classifier Description An account of the resource Fake news is any information fabricated to mislead readers to spread an idea for certain gains (usually political or financial). In today's world, accessing and sharing information is very fast and almost free. Internet users are growing significantly than ever before. Therefore, online platforms are perfect grounds to spread information to a broader section of society. What could circulate between a relative few can now circulate globally overnight. This advantage also marked the increase in the number of fake news attacks by its users, which is unsuitable for a healthy society. Therefore, there is a need for good algorithms to identify and take down fake information as soon as they appear. This paper aims at solving the problem by automating the process of identifying fake news using its content. Evaluation metrics like the accuracy of correct classification, precision, recall and f1-score assess the performance of the approach. The machine learning approach achieved its best performance with 96.7 percentage accuracy, 96.2 percentage precision, 97.5 percentage recall and 96.9 percentage f1 score on the ISOT dataset. 2022 IEEE. Creator An entity primarily responsible for making the resource Mathews E.Z.; Preethi N. Source A related resource from which the described resource is derived 2022 International Conference on Computer Communication and Informatics, ICCCI 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCI54379.2022.9741049" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCI54379.2022.9741049</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128773843&doi=10.1109%2FICCCI54379.2022.9741049&partnerID=40&md5=f59d64605561af35639b878a5f55f26e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128773843&doi=10.1109%2fICCCI54379.2022.9741049&partnerID=40&md5=f59d64605561af35639b878a5f55f26e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548035-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Mathews E.Z., Christ University, Data Science Department, Pune, India; Preethi N., Christ University, Data Science Department, Pune, India https://archives.christuniversity.in/files/original/8cae3117291407f2da63a26ee03df934.jpg 96e0cb74b7edc75db27cde5309115286 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 A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 A name given to the resource Falling cat inspired intelligent quadrupedal robot to assist people during risky mountain trekking / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202141048690, Applicant: Dr.S.Balamurugan.A falling cat always goes from feet-up position to feet-down position, in a falling reference frame without violating the conversation of angular momentum. The first thing a cat does while falling is figuring out which way is up. This is capable using the gyro in the cats ears. Research shows that the safe landing of a falling cat is due to a phenomenon called cat riding reflex. Once a cat falls, it divides its body into two separate rotational axes that are tilted from one another. During falling the front part is released with decreased moment of inertia so that it can spin faster. At the back the moment of inertia is increased, so that a large twist in the front part is equivalent to the smaller twist in the latter. Creator An entity primarily responsible for making the resource N, Arul Kumar. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1k_fiupS5pM2B0I4EWkchKtr8GW9BR2Ow/view" target="_blank" title="Falling cat inspired intelligent quadrupedal robot to assist people during risky mountain trekking /" rel="noreferrer noopener">https://drive.google.com/file/d/1k_fiupS5pM2B0I4EWkchKtr8GW9BR2Ow/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-06 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/776a560edae5067244b7815b973bba1b.pdf 90e9f276bfc4fad6c4037f1f1ae0fab4 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 A name given to the resource MPHIL Mphil Mphil Thesis 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 A name given to the resource Families Experience with Family Therapy: A Qualitative Inquiry Creator An entity primarily responsible for making the resource James Roby Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived Department of Psychology Description An account of the resource Various studies have found out that the experiences of the families with family therapy in several countries have generally been positive and the number of the people who benefit from family therapy is also high. Studies reveal that though there is a heightened need for family therapy in India, there is a kind of reluctance among the people towards it. When there is good number of literature in India that reveals the general attitude of Indian population towards family therapy, there is a lack of studies that explore the lived experience of the family members who have undergone family therapy. This study was designed to examine therapy from the point of view of the families. The participants of this study were eight families from Kerala and Karnataka who had completed entire family therapy under the trained professionals in the duration of last five months. The data was collected through in-depth interviews. The study reveals the common factors that led the families to family therapy, their experience with the whole therapeutic process, the barriers that prevented them and the perceived benefits of family therapy. Ten global themes and twenty seven organizing themes have been identified on the whole in relation with the research query. The findings are described along with the practical implication, suggestions and future research agendas. Keywords: Therapeutic process, Rapport building, Working phase, Termination, Interventions, Mental well-being 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 A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter 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 A name given to the resource Family Caregiving in Dementia in India: Challenges and Emerging Issues Subject The topic of the resource Challenges in caregiving; Dementia; Emerging issues; Family caregiving; Family-based interventions; India Description An account of the resource This chapter would provide an overview of the caregiving scenario in India with a focus on families as the mainstay of support and care for people with dementia. The various aspects of caregiving in dementia would be discussed in the light of the Indian sociocultural context. The impact of caregiving and challenges faced by the family and informal caregivers would be described in the light of the changing demographics and urbanization in India. The need for different kinds of caregiver education and training programmes tailored to the domiciliary and socioeconomic status of the family would be discussed. The resources available for family caregivers, like existing programmes for psychoeducation, family self-care, online and other resources for support would be described. We would discuss the challenges faced in developing culturally appropriate interventions for India that can be delivered within existing resources, such as supporting families in their role as caregivers and providing training and support for them. The chapter would discuss the emerging issues in the models of care for low- and middle-income countries like India, where the care is primarily home-based. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. Creator An entity primarily responsible for making the resource Varghese M.; Baruah U.; Loganathan S. Source A related resource from which the described resource is derived Dementia Care: Issues, Responses and International Perspectives, pp. 121-136. Publisher An entity responsible for making the resource available Springer Singapore Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-3864-0_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-3864-0_8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158963719&doi=10.1007%2F978-981-16-3864-0_8&partnerID=40&md5=7acde69e298c5a16406763960d13335c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158963719&doi=10.1007%2f978-981-16-3864-0_8&partnerID=40&md5=7acde69e298c5a16406763960d13335c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981163864-0; 978-981163863-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Varghese M., Geriatric Clinic and Services, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India; Baruah U., Geriatric Clinic and Services, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India, Department of Psychology, Christ (Deemed to be University), Bangalore, 560029, India; Loganathan S., Geriatric Clinic and Services, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India 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 A name given to the resource Reviews Review Faculty Publications- Reviews 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 A name given to the resource Family Factors Associated with Problematic Use of the Internet in Children: A Scoping Review Subject The topic of the resource adolescents; children; family factors; internet addiction; online gaming addiction; Parenting; problematic use of internet; scoping review Description An account of the resource Background: Problematic use of the internet (PUI) is a growing concern, particularly in the young population. Family factors influence internet use among children in negative ways. This study examined the existing literature on familial or parental factors related to PUI in children. Methods: A scoping review was conducted in EBSCOhost, PubMed, ScienceDirect, JSTOR, Biomed Central, VHL Regional Portal, Cochrane Library, Emerald Insight, and Oxford Academic Journal databases. Studies reporting data on family factors associated with PUI in children, published in English in the 10 years to July 2020 were included. The following data were extracted from each paper by two independent reviewers: methodology and demographic, familial, psychiatric, and behavioral correlates of PUI in children. Results: Sixty-nine studies fulfilled the eligibility criteria. Three themes emerged: parenting, parental mental health, and intrafamilial demographic correlates of PUI in children. Parenting styles, parental mediation, and parentchild attachment were the major parenting correlates. Conclusion: Literature on significant familial and parental factors associated with PUI in children is scarce. More research is required to identify the interactions of familial and parental factors with PUI in children, to develop informed management strategies to address this issue. 2022 Indian Psychiatric Society - South Zonal Branch. Creator An entity primarily responsible for making the resource Nannatt A.; Tariang N.M.; Gowda M.; Devassy S.M. Source A related resource from which the described resource is derived Indian Journal of Psychological Medicine, Vol-44, No. 4, pp. 341-348. Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/02537176221090862" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02537176221090862</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132845502&doi=10.1177%2F02537176221090862&partnerID=40&md5=236352fba6a2c97abdc804ce02821b12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132845502&doi=10.1177%2f02537176221090862&partnerID=40&md5=236352fba6a2c97abdc804ce02821b12</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 2537176 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nannatt A., Dept. of Sociology and Social Work, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Tariang N.M., Dept. of Sociology and Social Work, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Gowda M., Director and Consultant Psychiatrist, Spandana Health Care, Karnataka, Bangalore, India; Devassy S.M., Dept. of Social Work, Rajagiri College of Social Sciences, Kerala, Cochin, India 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 A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Simon, Soumya; Krishnan, Uma Title A name given to the resource Family Functioning and Differentiation in Indian Homeschooling Families: A Systems Perspective on Stress and Coping Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;649;pp.567-578 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-13119-5_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-13119-5_47</a> <a href="https://www.scopus.com/pages/publications/105039630343?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039630343?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Simon S., Department of Psychology, Christ (Deemed to be University), Bengaluru, India; Krishnan U., Department of Psychology, Christ (Deemed to be University), Bengaluru, India Description An account of the resource Family system and functioning play an integral part in individuals emotional development and channel the various coping mechanisms adopted by individuals to deal with multiple situations in life. The study explored family functioning, family differentiation, family stress, and family coping strategies among homeschooling families. A sample of 115 homeschooling families was selected by snowball sampling from India. A quantitative approach using correlation and regression analysis was used for the study. There has been a surge in families opting for home-based education post-pandemic. There is a need for an in-depth exploration of how these families function, develop differentiation, experience stress, and cope in a collectivistic culture like India. The results indicate that balanced cohesion in families predicts better differentiation in the motherchild subsystem, while family satisfaction predicts better differentiation in the husband and wife subsystem. The research findings can form a basis for developing family therapy specific to homeschooling and enhance the knowledge and understanding regarding the benefits and costs of homeschooling. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Differentiation in family system; Family functioning; Family stress and family coping strategies; Homeschooling Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A name given to the resource Articles Article Faculty Publications -Articles 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 A name given to the resource FAMILY OF CONGRUENCES FOR (2, ?)?REGULAR BIPARTITION TRIPLES Subject The topic of the resource Bipartition Triples; Congruences; Integer partitions; q?series Description An account of the resource Though congruences have their limitations, they have significant importance in the field of number theory and helps in proving many interesting results. Thus, this article has adopted the technique and properties of congruences to identify and prove a set of congruent properties for integer partition. The partition of a positive integer is a way of expressing the number as a sum of positive integers. One such partitions known as regular bipartition triple are discussed in this article. New congruences modulo even integers and modulo prime (p ? 5) powers are derived for (2, ?)?regular bipartition triples. Also infinite families of congruences modulo 2 for some (2, ?)?regular bipartition triples are derived. The theorems stated in this article are proved using the q?series notation and some of the prominent results such as Eulers pentagonal number theorem and Jacobis triple product identities. There are certain lemmas which are derived using these results that help in proving the major results of this article. 2022, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved. Creator An entity primarily responsible for making the resource Puneeth V.; Roy A. Source A related resource from which the described resource is derived South East Asian Journal of Mathematics and Mathematical Sciences, Vol-18, No. 3, pp. 1-14. Publisher An entity responsible for making the resource available RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.56827/SEAJMMS.2022.1803.1" target="_blank" rel="noreferrer noopener">https://doi.org/10.56827/SEAJMMS.2022.1803.1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165894676&doi=10.56827%2FSEAJMMS.2022.1803.1&partnerID=40&md5=92c2bf760d05d1daccdbc8f5b4edcf70" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165894676&doi=10.56827%2fSEAJMMS.2022.1803.1&partnerID=40&md5=92c2bf760d05d1daccdbc8f5b4edcf70</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 9727752 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Puneeth V., Department of Computational Sciences, CHRIST University, Bengaluru, 560029, India; Roy A., Department of Sciences and Humanities, CHRIST University, Bengaluru, 560029, India 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 A name given to the resource Articles Article Faculty Publications -Articles 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 A name given to the resource Farm bills in the parliament: impact of farmers protest and the democratisation of legislative process in India Subject The topic of the resource Centre-State Relations; Democratisation; Farmer's Protest; Indian Parliament; Legislative practice; Majoritarianism; National Populism Description An account of the resource This research article analyses the impact of the farmers agitation on the legislative process in India. The Indian farmers protest against the 2020 Indian Agriculture Reform Acts, dubbed as Kala Kanoon (black laws), not only voiced dissatisfaction with the contents of the farm bills but also confronted the undemocratic legislative practices. We provide descriptive evidence by discussing five major dimensions of the impact of the protest and the outcome i.e. the repeal of the laws. First, the protest movement and the resultant repeal helped discern a valuable public policy lesson to abandon top-down policy-making. Second, the protest questioned the bureaucratic approach to legislation that excluded the primary stakeholder group from policy-making. Third, it revealed the diminished role of the legislature and the concentration of power in the executive. Fourth, it exposed vulnerabilities in the parliamentary system when the ruling party holds a brute majority. Fifth, the protest emphasized the importance of state autonomy and legislative accountability to hold the executive accountable. We conclude with the summation of the major arguments from the discussion by highlighting the implications of the farmers movement for Indias future legislative processes. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Georgekutty M.V.; Varghese P. Source A related resource from which the described resource is derived Theory and Practice of Legislation, Vol-12, No. 2, pp. 206-228. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/20508840.2024.2351319" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/20508840.2024.2351319</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193030771&doi=10.1080%2F20508840.2024.2351319&partnerID=40&md5=cd3455a712d42931c4bd19b9762f1512" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193030771&doi=10.1080%2f20508840.2024.2351319&partnerID=40&md5=cd3455a712d42931c4bd19b9762f1512</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20508840 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Georgekutty M.V., Department of International Studies, Political Science and History, Christ University, Delhi, India; Varghese P., Department of International Studies, Political Science and History, Christ University, Delhi, India, United Nations University Institute for the Advanced Study of Sustainability, Tokyo, Japan