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                <text>BSLnO: Multi-agent based distributed intrusion detection system using Bat Sea Lion Optimization-based hybrid deep learning approach</text>
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                <text>deep maxout network; deep residual network; intrusion detection system; multi-agent system; Sea Lion Optimization</text>
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                <text>Intrusion detection system (IDS) is a robust model that plays an essential role in dealing with intrusion detection, especially in detecting abnormal anomalies and unknown attacks. The major challenges faced by IDS are the computation time required for analysis, and the exchange of a huge amount of data from one division of the network to another. For the sake of tackling such limitations, this probe proposes a multi-agent enabled IDS for detecting intrusions using the Bat Sea Lion Optimization (BSLnO) algorithm. The proposed strategy consists of five phases, namely pre-processor agent, reducer agent, augmentation agent, classifier agent, and decision agent. Initially, input data is subjected to pre-processor agent, where pre-processing is carried out using data normalization and missing value imputation. Thereafter, the pre-processed result is fed up to the reducer agent, where dimension reduction is carried out using mutual information. The third step is data augmentation in which the dimensionality of data is enhanced. After that, the augmented result is subjected to classifier agent to classify intrusions or malicious activities present in the network based on hybrid deep learning strategies, namely deep maxout network and deep residual network. A developed BSLnO is implemented by incorporating Bat Algorithm (BA) and Sea Lion Optimization (SLnO) algorithm to train the hybrid classifier. The proposed scheme has acquired a higher precision of 0.936, recall of 0.904, and F-measure of 0.920.  2022 John Wiley &amp;amp; Sons Ltd.</text>
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                <text>Maram B.; Mandala J.; Satish A.R.</text>
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                <text>International Journal of Adaptive Control and Signal Processing, Vol-36, No. 8, pp. 1909-1930.</text>
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                <text>John Wiley and Sons Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1002/acs.3427" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/acs.3427&lt;/a&gt;
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                <text>Maram B., Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Himachal Pradesh, Chitkara University, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bengaluru, India; Satish A.R., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, Vijayawada, India</text>
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                <text>BSSA: Binary Salp Swarm Algorithm with Hybrid Data Transformation for Feature Selection</text>
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                <text>Data transformation; fast independent component analysis; feature selection; principal component analysis; salp swarm optimizer</text>
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                <text>Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature subsets. Selecting optimal features within this high dimensional data space is time-consuming and negatively affects the system's performance. This paper proposes a new binary Salp Swarm Algorithm (bSSA) for selecting the best feature set from transformed datasets. The proposed feature selection method first transforms the original data-set using Principal Component Analysis (PCA) and fast Independent Component Analysis (fastICA) based hybrid data transformation methods; next, a binary Salp Swarm optimizer is used for finding the best features. The proposed feature selection approach improves accuracy and eliminates the selection of irrelevant features. We validate our technique on fifteen different benchmark data sets. We conduct an extensive study to measure the performance and feature selection accuracy of the proposed technique. The proposed bSSA is compared to Binary Genetic Algorithm (bGA), Binary Binomial Cuckoo Search (bBCS), Binary Grey Wolf Optimizer (bGWO), Binary Competitive Swarm Optimizer (bCSO), and Binary Crow Search Algorithm (bCSA). The proposed method attains a mean accuracy of 95.26% with 7.78% features on PCA-fastICA transformed datasets. The results show that bSSA outperforms the existing methods for the majority of the performance measures.  2013 IEEE.</text>
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                <text>Shekhawat S.S.; Sharma H.; Kumar S.; Nayyar A.; Qureshi B.</text>
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                <text>IEEE Access, Vol-9, pp. 14867-14882.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ACCESS.2021.3049547" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCESS.2021.3049547&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 21693536</text>
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                <text>Shekhawat S.S., Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India; Kumar S., Department of Computer Science and Engineering, Christ (Deemed to Be University), Bengaluru, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, 550000, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam; Qureshi B., Department of Computer Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia</text>
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                <text>Bt cotton and the voices of the widows in the face of farmer-suicides</text>
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                <text>culture-centered approach; Development communication; farmer suicides; subalternity; voice</text>
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                <text>This article deploys the culture-centered approach to foreground the everyday constructions of farmer-suicides amid the agrarian epidemic among the farmer-widows to attend to the everyday structures that constitute the meanings of the suicides. The depictions of the patriarchal structures of decision-making in agriculture are intertwined with the broader erasure of the interplays of inequality in farmers experiences from the discursive sites of neoliberal agriculture. Furthermore, the voices of the widows disrupt the monolithic construction of agricultural technologies as tools of modernization and progress dominant in the development communication scholarship, instead, depicting the ways in which new technologies (such as Bt cotton) are constituted within, and reproduce, the overarching inequalities.  2020 National Communication Association.</text>
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                <text>Falnikar A.; Dutta M.J.</text>
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                <text>Journal of International and Intercultural Communication, Vol-14, No. 2, pp. 95-111.</text>
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                <text>&lt;a href="https://doi.org/10.1080/17513057.2020.1764611" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/17513057.2020.1764611&lt;/a&gt;
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                <text>Falnikar A., School of Business and Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Dutta M.J., School of Communication, Journalism and Marketing; Director, Center for Culture-Centered Approach to Research and Evaluation (CARE), Massey University, Palmerston North, New Zealand</text>
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                <text>BTS: Belonging and Becoming</text>
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                <text>Kumar P., Department of Chemistry, Ashoka University, Rajiv Gandhi Education City, Haryana, Sonipat, 131029, India; Pattanayak S., Department of Chemistry, Ashoka University, Rajiv Gandhi Education City, Haryana, Sonipat, 131029, India; Bidarahalli A.R., Department of Chemistry, Ashoka University, Rajiv Gandhi Education City, Haryana, Sonipat, 131029, India, Department of Chemistry, Christ University, Bangalore, 560029, India; Ghosh M., Department of Chemistry, Ashoka University, Rajiv Gandhi Education City, Haryana, Sonipat, 131029, India</text>
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                <text>Elucidating proton transfer dynamics in water represents one of the most challenging problems in water splitting reactions due to the presence of multiple proton donors, which complicates the overall reaction kinetics. This study examines the impact of buffer pKa and its concentration on catalytic performance for hydrogen evolution catalyzed by a CoIII complex (1). The results demonstrate that buffer increases the catalytic rate of the hydrogen evolution reaction. This enhanced activity is supported by the number of buffer acids possessing varying pKa values, with 2-(N-morpholino)ethanesulfonic acid yielding the maximum catalytic current. A linear free energy relationship, a characteristic of a Brsted-type mechanism, is observed between the buffers pKa and catalytic rate constants. This substantiates that the rate-limiting step is controlled by the proton delivery mediated by the buffer acids. Moreover, the observed inhibition in catalytic activity at a higher concentration of buffer reveals the possible binding interaction between buffer and the cobalt center, thereby impeding substrate access. These findings underscore the critical role of buffer identity and its concentration in optimizing the proton-dependent catalytic reactions in water.  2026 American Chemical Society</text>
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                <text>Puthur L., Christ (Deemed to be) University, India; Karakunnel M., Christ (Deemed to be) University, India; Miranda D., Christ (Deemed to be) University, Bengaluru, India; Arora T., Department of Professional Studies, Christ (Deemed-to-be-University)., India</text>
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                <text>Kavitha R., Dept of Management, New horizon College, Bengaluru, 560 103, India, School of Business and Management, Christ University, Bengaluru, 560 029, India; Gour S., Dept of Management, New horizon College, Bengaluru, 560 103, India, School of Business and Management, Christ University, Bengaluru, 560 029, India; Srinivasa G., Dept of Management, New horizon College, Bengaluru, 560 103, India, School of Business and Management, Christ University, Bengaluru, 560 029, India; Arvind T., Dept of Management, New horizon College, Bengaluru, 560 103, India, School of Business and Management, Christ University, Bengaluru, 560 029, India</text>
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                <text>Finding new customers is costlier than retaining the existing customers for the business. Therefore, building a strong relationship with customers helps marketers to retain their existing customers. Incorporating ethical and moral values into marketing activities offer a way to build a strong relationship. This study identifies the factors that bind customers and marketers into a sustainable relationship in the Indian context. This study constitutes a framework to understand and apply sustainable relationship marketing in the personal care industry. This study touches certain marketing disciplines such as marketing mix policy, transparency in trades, building trust, product delivery, promises delivery, and sustainable relationship. The convenience sampling technique used for the selection of respondents from the Mohali City of Punjab, and interview them. The finding suggests that promises delivery is the most important factor for a sustainable relationship. If promises are delivered effectively then the life of the relationship will be longer. Copyright  2024 Inderscience Enterprises Ltd.</text>
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                <text>Kushwaha B.P., VIT Business School, Vellore Institute of Technology, Vellore, 632014, India; Singh R.K., School of Management, Graphic Era Hill University, Dehradun, 248002, India; Varghese N., School of Business and Management, CHRIST (Deemed to be University), Lavasa, Pune, 412112, India</text>
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                <text>Shivaram H., Christ (Deemed to Be University), Department of Data Science, Bangalore, India; Dutta K., Christ (Deemed to Be University), Department of Data Science, Bangalore, India; Kappil S.R., Christ (Deemed to Be University), Department of Data Science, Bangalore, India</text>
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                <text>Teacher Strategies for Addressing Social-Emotional Needs of P-12 Students;pp.71-108</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3373-1067-1.ch003" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-1067-1.ch003&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105023250429?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105023250429?origin=resultslist&lt;/a&gt;</text>
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                <text>Shetty R., Christ University, India; Padmakumari P., Christ University, India</text>
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                <text>Emotional development begins in early childhood, with the school environment and educators playing a crucial role in shaping children's relationship with emotions. Integrating social-emotional learning (SEL) can foster the skills to manage strong emotions and build healthy relationships. Through their daily interactions and structured lessons, teachers can help children identify, regulate, and express feelings appropriately. Children who effectively manage their emotions play a vital role in promoting teachers' well-being and job satisfaction. Emotion regulation doesn't involve blanket strategies that work for everyone. This chapter will explore the variations in emotional development across the Pre-K to 12 age range, highlighting the distinct stages and characteristics unique to each phase. Therefore, the proposed strategies, with a strong focus on parent-teacher collaboration are designed to align with the child's developmental stage, ensuring maximum effectiveness and benefits.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>ISBN: 979-833731069-5; 979-833731067-1;</text>
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