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                <text>Portrayal of cricket in bollywood movies from 2011-2016 /</text>
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                <text>Movies and cricket are two of the big entertainment and revenue generating industries in India. The first feature film in India can be dated back to 1913 while cricket had its emergence in the 16th century itself. Cricket can also be seen in movies in recent years. This study focuses on films which were released between the years 2011 and 2016 which have depicted cricket in them. The study uses the Representation theory by Stuart Hall as a theoretical framework.</text>
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                <text>Patent Number: 202141013761, Applicant: Dr. C Kailasanathan.&#13;
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                <text>Patent Number: 202141022914, Applicant: Dr. Ajith Danti.&#13;
The present invention relates to system and Method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning. The objective of the present invention is to solve the problems in the prior art technologies of crop and fertilizer recommendation based on soil nutrient, soil type and agriculture field location.</text>
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                <text>Biowaste-Derived, Highly Efficient, Reusable Carbon Nanospheres for Speedy Removal of Organic Dyes from Aqueous Solutions</text>
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                <text>adsorption; carbon nanospheres; kinetics; oil palm leaves</text>
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                <text>The current work explores the adsorptive efficiency of carbon nanospheres (CNSs) derived from oil palm leaves (OPL) that are a source of biowaste. CNSs were synthesized at 400, 600, 800 and 1000 C, and those obtained at 1000 C demonstrated maximum removal efficiency of ~91% for malachite green (MG). Physicochemical and microscopic characteristics were analysed by FESEM, TEM, FTIR, Raman, TGA and XPS studies. The presence of surface oxygen sites and the porosity of CNSs synergistically influenced the speed of removal of MG, brilliant green (BG) and Congo red (CR) dyes. With a minimal adsorbent dosage (1 mg) and minimum contact time (10 min), and under different pH conditions, adsorption was efficient and cost-effective (nearly 99, 91 and 88% for BG, MG and CR, respectively). The maximum adsorption capacities of OPL-based CNSs for BG were 500 and 104.16 mg/g for MG and 25.77 mg/g for CR. Adsorption isotherms (Freundlich, Langmuir and Temkin) and kinetics models (pseudo-first-order, pseudo-second-order and Elovich) for the adsorption processes of all three dyes on the CNSs were explored in detail. BG and CR adsorption the Freundlich isotherm best, while MG showed a best fit to the Temkin model. Adsorption kinetics of all three dyes followed a pseudo-second-order model. A reusability study was conducted to evaluate the effectiveness of CNSs in removing the MG dye and showed ~92% efficiency even after several cycles. Highly efficient CNSs with surface oxygen groups and speedy removal of organic dyes within 10 min by CNSs are highlighted in this paper.  2022 by the authors.</text>
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                <text>Krishnappa B.; Bhat V.S.; Ancy V.; Joshi J.C.; S J.M.; Naik M.; Hegde G.</text>
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                <text>Krishnappa B., Centre for Nano-Materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India, Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India; Bhat V.S., Centre for Nano-Materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India; Ancy V., Centre for Nano-Materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India; Joshi J.C., Centre for Nano-Materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India; S J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Main Road, Karnataka, Bangalore, 560083, India; Naik M., Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560019, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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                <text>Acid orange-7(C&lt;sub&gt;16&lt;/sub&gt;H&lt;sub&gt;11&lt;/sub&gt;N&lt;sub&gt;2&lt;/sub&gt;NaO&lt;sub&gt;4&lt;/sub&gt;S); adsorption; biowaste; carbon nanospheres; oil palm leaves</text>
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                <text>Acid-dyes, typically used in textile productions, could infer poisoning harmful effects on the environment as well as on human health, if not properly treated during their disposal. Henceforth, there is an absolute necessity to achieve new efficient low-cost techniques to remove these dyes from industrial chemical waste. Here, the leaves of oil palm, which are abundant in tropical countries, were used as precursor in the development of carbon nanospheres (adsorbent) to remove hazardous acid Orange-7 (AO-7) dye (C16H11N2NaO4S). The removal efficacy of spherical-shaped nanocarbons was investigated as a function of contact period, by varying their dose (0.5, 1, 1.5, 2 and 2.5mg), pH (acidic, native and basic), and initial AO-7 concentration (10, 15, 20, 25 and 30?M). Amazingly, the oil palm leavesbased carbon nanospheres removed acid-dye up to an efficiency of about 99%. Pseudo second-order kinetics governs the adsorption mechanism and the RedlichPeterson isotherm model fits well to the adsorption results, with regression co-efficient close to unity. This study suggests the importance of natural biowaste-based carbon nanoparticles in sustainable recycling, within the worldwide demanded circular economy.  The Author(s) 2021.</text>
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                <text>Krishnappa B.; Mannekote Shivanna J.; Naik M.; Padova P.D.; Hegde G.</text>
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                <text>Nanomaterials and Nanotechnology, Vol-11</text>
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              <elementText elementTextId="114846">
                <text>All Open Access; Gold Open Access</text>
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                <text>Krishnappa B., Centre for Nano-materials Displays, B.M.S. College of Engineering, Bengaluru, Karnataka, India, Department of Civil Engineering, B.M.S. College of Engineering, Bengaluru, Karnataka, India; Mannekote Shivanna J., Department of Chemistry, DayanandaSagar College of Engineering, Bengaluru, Karnataka, India; Naik M., Department of Civil Engineering, B.M.S. College of Engineering, Bengaluru, Karnataka, India; Padova P.D., Istituto di Struttura della Materia-CNR (ISM-CNR), Rome, Italy; Hegde G., Centre for Nano-materials Displays, B.M.S. College of Engineering, Bengaluru, Karnataka, India, Centre for Advanced Research and Development, Department of Chemistry, CHRIST (Deemed to be) University, Karnataka, India</text>
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                <text>Fast and effective removal of textile dyes from the wastewater using reusable porous nano-carbons: a study on adsorptive parameters and isotherms</text>
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                <text>Adsorption; Methylene blue; Onion Peels; Porous nano-carbons; Speedy removal; Wastewater; Wastewater</text>
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                <text>In the present study, recyclable porous nano-carbons (PNCs) were used to remove textile dyes (mainly methylene blue, methyl orange, and rhodamine B) from an aqueous environment. Due to their high surface area and mesoporous nature, PNCs exhibited extremely fast and efficient adsorption behavior. PNCs synthesized at an elevated temperature of 1000 C are used in batch experiments, as they showed maximum dye removal with high surface area. Batch mode was used to optimize operational parameters such as initial dye concentration, contact time, adsorbent dose and pH as a function of time. Within ~7 minutes of treatment, PNCs achieved a maximum removal efficacy of ~99 percent for methylene blue. The recyclability of PNCs was investigated, and it retained its efficiency even after seven cycles. The efficacy of PNCs in treating industrial water contaminated with methylene blue dye was assessed. Different adsorption isotherms were carried out to determine maximum amount of dye that can be adsorbed on to surface of PNCs. The maximum adsorption capacity attained using Langmuir isotherm for methylene blue was around 1216.54 mg g-1. Adsorption kinetics were applied on experimental data to identify the rate of adsorption. It was confirmed that novel onion peel-based porous PNCs were successful in removing methylene blue dye effectively with short duration in comparison with other dyes mainly rhodamine B and methyl orange. Graphical abstract: [Figure not available: see fulltext.]  2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Krishnappa B.; Saravu S.; Shivanna J.M.; Naik M.; Hegde G.</text>
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                <text>Environmental Science and Pollution Research, Vol-29, No. 52, pp. 79067-79081.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11356-022-21251-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11356-022-21251-5&lt;/a&gt;
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                <text>Krishnappa B., Centre for Nano-materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Saravu S., Centre for Nano-materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Department of Chemistry, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Naik M., Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Hegde G., Centre for Nano-materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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                <text>ALLEVIATION OF POVERTY THROUGH PANCHAYAT RAJ INSTITUTIONS: A CRITICAL STUDY OF CHALLENGES AND PROSPECTS IN KARNATAKA, INDIA; [REDUO DA POBREZA ATRAV DE INSTITUIES PANCHAYAT RAJ: UM ESTUDO CRICO DOS DESAFIOS E PERSPECTIVAS EM KARNATAKA, DIA]</text>
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                <text>Purpose: The purpose of this paper is to: Analyse the role of Panchayat Raj Institutions (PRIs) in alleviating poverty in Karnataka, India. Identify the challenges faced by PRIs in implementing poverty alleviation programs. Explore potential solutions to overcome these challenges and improve program effectiveness. Provide recommendations for strengthening the role of PRIs in poverty alleviation efforts. Theoretical reference: This paper draws on several theoretical frameworks, including: heories of poverty alleviation, focusing on the role of local governance and community participation. Theories of decentralization and the devolution of power to local governments. Theories of social justice and equity, emphasizing the need to address the root causes of poverty. Theories of sustainable development, highlighting the importance of integrating economic, social, and environmental considerations. Method: This research is primarily a doctrinal study, relying on a variety of primary and secondary sources: Primary Sources: Statutory enactments: Constitution of India, 1950, Central Government Schemes implemented by PRIs, The Karnataka Gram Swaraj and Panchayat Raj Act, 1993. Policy documents: National Rural Development Policy, Karnataka State Rural Development Policy, Poverty alleviation scheme guidelines. Secondary Sources: Statistical analysis: Government reports and data sets, Research reports and surveys, Research publications: Peer-reviewed articles and books on poverty alleviation, local governance, and development. Case studies: Examples of successful poverty alleviation programs implemented by PRIs. Results: This research identified several key challenges faced by PRIs in implementing poverty alleviation programs in Karnataka: Corruption: Misuse of funds and resources hinders the effectiveness of programs and prevents benefits from reaching the intended beneficiaries. Caste: Deep-rooted social inequalities limit access to resources and opportunities for marginalized communities. Lack of awareness: Many people remain unaware of available schemes and benefits, leading to underutilization of resources. Limited capacity: PRIs often lack the necessary skills and resources to effectively plan, implement, and monitor programs. Lack of coordination: Poor coordination between different levels of government and stakeholders can lead to delays, duplication of efforts, and inefficient resource allocation. Despite these challenges, the research also identified several promising practices and potential solutions: Transparency and accountability: Initiatives like social audits and public hearings can improve transparency and hold PRI officials accountable for program outcomes. Community participation: Engaging communities in program design and decision-making can ensure programs are relevant and address local needs. Capacity building: Training programs can equip PRI officials with the necessary skills and knowledge to manage programs effectively. Technology and innovation: Utilizing technology can enhance program efficiency, data management, and communication with beneficiaries. Partnerships: Collaborations with NGOs, civil society organizations, and private sector can contribute resources, expertise, and innovation. Conclusion: PRIs play a crucial role in alleviating poverty in India. While they face numerous challenges, there are also promising solutions and opportunities for improvement. By investing in capacity building, promoting transparency, fostering community participation, and embracing technology and innovation, PRIs can be empowered to become more effective agents of poverty alleviation in Karnataka and beyond.  2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved.</text>
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                <text>Krishnappa R.; Agarwal P.</text>
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                <text>Revista de Gestao Social e Ambiental, Vol-18, No. 1</text>
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                <text>Krishnappa R., CHRIST (Deemed to be University), Bengaluru, India; Agarwal P., CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>PANCHAYAT SYSTEM IN KARNATAKA: DEMOCRACY, REPRESENTATION AND POLITICAL PARTIES; [SISTEMA PANCHAYAT EM KARNATAKA: DEMOCRACIA, REPRESENTAO E PARTIDOS POLICOS]</text>
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                <text>Amendment; Decentralisation; Democracy; Panchayats; Political Parties; Representation</text>
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                <text>As far as the Indian sub-continent is concerned local governance/panchayat has an elaborate history. The rural population have for long practiced this system of governing themselves through their representatives. The mode of working and the powers vested in the local bodies, have not been uniform throughout. The federation conferred constitutional status to the local governance bodies in 1993 and this system has progressed in an interesting way. Karnataka, a southern State in India has been ahead of time in enacting legislations dealing with local governance. Even before the amendment inserting provisions to the Constitution of India was passed, Karnataka had and was implementing extravagant laws pertaining to panchayats. Since democracy and decentralisation are closely associated with the panchayats, the idea of representation has a key role to play. The concerns with respect to involvement and influence of political parties in the local body elections are an important aspect as well. This paper ventures out to understand the panchayat system in Karnataka, pre and post the Constitutional amendment. The paper intends to throw light on the essence of the legislations relating to panchayats in Karnataka and understand the idea of democracy, representational factor and the concept of elections on a non-party basis. The researchers have keenly pondered upon the implementation of apolitical elections in Karnataka, the flaws in the proposed phenomenon. The paper also aims to look into hurdles in the way of these local bodies and propose suggestions to get over the same. Purpose: To Analyze the panchayat system in Karnataka, both before and after the 1993 constitutional amendment. Examine the essence of Karnataka's panchayat-related legislation. Explore the concepts of democracy, representation, and non-party elections in the context of panchayats. Evaluate the implementation of non-partisan elections in Karnataka and identify potential flaws. Analyze the challenges faced by panchayats and propose solutions. Theoretical Reference: Mainly Doctrinal research methodology. Relies on primary sources like the Indian Constitution, relevant statutes relating to panchayaths, and relevant data. Draws on secondary sources like articles and research papers. Method: Analyzes relevant legal documents and scholarly works. Analytical Method of Study Comparative Studies in relation to various factors pertaining to the research between the three levels of Panchayat (Gram Panchayat, Taluk Panchayat and Zilla Panchayat) Results and Conclusion: Non-partisan elections in Karnataka are largely theoretical; political parties influence local elections. Political interference hinders effective panchayat functioning. The paper likely proposes recommendations for strengthening panchayats and minimizing political influence. Implications of Research: Provides insights into the challenges and potential of decentralized governance in India. Informs policymakers and stakeholders about improving panchayat effectiveness. May contribute to debates on non-partisan elections and local democracy. Originality/Value: The study offers a focused analysis of Karnataka's panchayat system within a specific theoretical framework. Its findings on the limitations of non-partisan elections could be valuable for other regions considering similar approaches.  2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved.</text>
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                <text>Krishnappa R.; Agarwal P.</text>
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                <text>Revista de Gestao Social e Ambiental, Vol-18, No. 1</text>
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                <text>A study of the effectiveness of technology enabled learning strategy based on multiple intelligences on the achievement in history and civics of elementary school students in Bangalore</text>
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                <text>Education in ancient India in its traditional form was closely related to religion and was limited to a very small section of Indian society. Ancient education in India followed an oral tradition, which laid stress on memory. Subjects like arts and sciences related to government: politics, economics, philosophy, and historical traditions were taught (Thapar, 2002). With the arrival of Islam in India, the traditional methods of education underwent a change. Islamic institutions of education in India taught grammar, philosophy, mathematics, and law influenced by the Greek traditions inherited by Persia and the Middle East, before Islam spread from these regions into India. A feature of this traditional Islamic education was its emphasis on the connection between science and humanities.</text>
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                <text>The handicraft sector plays a significant role in providing employment opportunities in rural and semi-urban areas of the country. It helps in generating substantial income for the artisans. The uses for palm leaves are abundant. Attractive items made of Palm Leaves are very popular in South India, mostly in Southern Andhra Pradesh and Tamil Nadu. However, to generate sustainable revenue through their products, the artisans need to understand the buyers requirements. This study aims to understand the consumers purchasing behavior when buying palm leaf products. The sample consists of 233 consumers with diverse backgrounds from the state of Tamil Nadu, India. A questionnaire was developed to measure awareness and attitude influence while purchasing palm leaf products. The results can help the artisans to get an insight into end-user expectations and requirements toward palm leaf products and suggest strategies to increase the income of artisans.  2022 Taylor &amp;amp; Francis.</text>
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                <text>Journal of Natural Fibers, Vol-19, No. 15, pp. 11610-11620.</text>
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                <text>Krishnaraj G., Department of Textile Design, National Institute of Fashion Technology, NIFT Campus, Chennai, India; Elangovan N., Institute of Management, Christ University, Bengaluru, India; Prakash C., Department of Handloom and Textile Technology, Indian Institute of Handloom Technology, Fulia, Ministry of Textile, Govt. of India, Shantipur, India</text>
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                <text>Predicting present climate and the evolution of the ecosystem is more crucial than ever because of the huge climatic shift that has occurred in nature. Weather forecasts normally are made through compiling numerical data on from the atmospheric state at the moment and also applying scientific knowledge in the atmospheric processes to forecast on how the weather atmosphere would evolve. The most popular study subject nowadays is rainfall forecasting because of complexity in handling the data processing in addition to applications in weather monitoring. Four different state temperature data were collected and applied deep learning methods to predict the temperature level in the forthcoming months. The results brought out with the accuracy from 92.5% to 97.2% for different state temperature data.  2023 IEEE.</text>
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                <text>Krishnasamy L., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Anand D.V., Kongu Engineering College, Department of Information Technology, Erode, India; Vigneshwaran T., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Pathak L.K., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Maheswaran S., Kongu Engineering College, Department of Electronics and Communication Engineering, Erode, India</text>
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                <text>An endocrine gland that is allocated in the front of the neck is called the thyroid, which produces thyroid hormones as its main job. Thyroid hormone may be produced insufficiently or excessively as a result of its potential malfunction. There are various thyroid types including Hyperthyroidism, Hypothyroidism, Thyroid Cancer Thyroiditis, swelling of the thyroid. A goiter is an enlarged thyroid gland. When your thyroid gland produces more thyroid hormones than your body requires, you have hyperthyroidism. When the thyroid gland in our body doesnt provide enough thyroid hormones, then our body has hypothyroidism; when you have euthyroid sick, your thyroid function tests during critical illness taken in an inpatient or intensive care setting show alterations. Hypothyroid, hyperthyroid, and euthyroid conditions are expected from these thyroid conditions. The Three similarly used machine learning algorithms are: Support Vector Machine (SVM), Logistic Regression, and Random Forest methods, were evaluated from among the various machine learning techniques to forecast and evaluate their performance in terms of accuracy. Random forest can perform both regression and classification tasks. Logistic Regression is used to calculate or predict the probability of a binary (yes/no) event occurring. SVM classifiers offers great accuracy and work well with high dimensional space. A thyroid data set from Kaggle is used for this. This study has demonstrated the use of SVM, logistic regression, and random forest as classification tools, as well as the understanding of how to forecast thyroid disease.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Numerous cybercriminals are active in the online realm, carrying out cyber-crimes according to predetermined and preplanned agendas. Cyberbullying, which was formerly limited to physical limits, has now expanded online as a result of technology advancements. One type of cyberbullying is denigration or insult. The cyberbullying cases are in exponential rise in social media as per the reports of Computer Emergency Team by Sri Lanka. Insulting words are changeable in dynamic and the same terminology may have numerous meanings depending on the context. Bullying cannot be defined just because a statement comprises such a term. As a result, when classifying comments, standard keyword detecting approaches are insufficient. Other languages also may have dealt with this issue by utilizing lexical databases like WordNet, which might give synonyms as well as homonyms for words. Because no adequate lexical database mainly for the English language has been built, recognizing a word like bullying is difficult. As a result, employed rules to solve the problem. Facebook comments containing profanity were gathered, outliers were eliminated, and the remaining messages were pre-processed. Five feature extraction rules were employed to assess insult in the text. Following that, used the Support Vector Machine (SVM) technique. Using an F1-score of 85%, the findings demonstrate that when compared to existing works, SVM performs better. The focus on English language cyberbully identification, which has never been addressed earlier, distinguishes this study.   2023 IEEE.</text>
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                <text>Krishnasamy L., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Kiruthika M., School of Computing, Department of Computational Intelligence, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, India; Manjunatha Swamy C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vigneshwaran T., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Sharon Roji Priya C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vijay Anand D., Kongu Engineering College, Department of Information Technology, Erode, India</text>
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                <text>In the current scenario, people are suffering and isolated by themselves by seizure detection and prediction in epilepsy. Also, it is highly essential that it needs to be identified through wearable devices. Researchers discussed this issue and outlined future developments in this field, suggesting that Machine Learning (ML) techniques could radically change how we diagnose and manage patients with epilepsy. However, as data availability has increased, Deep Learning (DL) techniques have become the most cutting-edge approach to adopt and use with wearable devices. On the other hand, large amounts of data are needed to train DL models, making overfitting problematic. DL models are created with open-source toolboxes and Python, allowing researchers to create automated systems and broaden computational accessibility. This work thoroughly overviews deep learning (DL) methods and neuroimaging modalities for automated epileptic seizure identification. It covers several MRI and EEG techniques for epileptic seizure diagnosis and treatment programmes designed to treat these seizures. The study also covers the difficulties in precise detection, the benefits and drawbacks of DL-based strategies, potential DL models and upcoming research in this area.   2024 IEEE.</text>
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                <text>Krishnasamy L., Nandha Engineering College, Department of Artificial Intelligence and Data Science, Erode, India; Sriwastav Y.K., School of Engineering and Technology, Christ University, Department of CSE, Bengaluru, India; Bharat S.P., School of Engineering and Technology, Christ University, Department of CSE AIML, Bengaluru, India; Ganachar S.R., School of Engineering and Technology, Christ University, Department of CSE, Bengaluru, India</text>
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                <text>Countering educational disruptions through an inclusive approach: Bridging the digital divide in distance education</text>
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                <text>The COVID-19 pandemic has created havoc across the globe, irrespective of governments, industries, and societies. The education sector is one of the most extensively affected by the global health crisis, manifesting expansive negative consequences to learners from various age groups and socioeconomic statuses. Despite the predicaments posed by the pandemic, academic institutions continue to provide education through a distance learning approach. However, the educational disruptions have underscored the lack of digital resources and competencies, excluding poor and unconnected students. Likewise, transitioning to remote education exposed the digital divide and inequalities that have been neglected for a long time. If the ultimate objective is to provide distance education, it is vital to devise solutions to problems faced by underprivileged students. This chapter investigates these challenges that impede the successful adoption of distance education and offers strategies to counter the disruptions as it seems apparent that online education is here to stay.  2022, IGI Global. All rights reserved.</text>
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                <text>Socioeconomic Inclusion During an Era of Online Education, pp. 204-224.</text>
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