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                <text>Future of customer engagement through marketing intelligence</text>
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                <text>In the competitive world of contemporary business, the challenge of developing marketing strategies that bridge the gap between traditional and innovative techniques has become more critical than ever. As marketing shifts between physical and digital realms, companies grapple with the central question of how to navigate this evolution successfully. The key lies in data - the linchpin that can unravel vital problems in modern marketing. The need for sustainable and effective marketing strategies permeates all sectors, emphasizing the urgency for businesses to combine traditional methods with innovative approaches, such as harnessing alternative data and leveraging AI-based solutions. Future of Customer Engagement Through Marketing Intelligence emerges as a compelling solution to the pressing challenges faced by businesses in this transformative landscape. It offers a step-by-step roadmap, guiding readers on how market intelligence can utilize data and transform it into actionable insights. By emphasizing the crucial role of data in crafting great marketing strategies, the book advocates for a deep understanding of market-supported content and factual data. It asserts that marketing intelligence, encompassing data collection, analysis, and strategic utilization, is the key to becoming customer-centric, understanding market demands, and gaining a competitive advantage. Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders, academics, researchers, consultants, technology developers, and policymakers. By delving into various topics, from AI-driven customer experiences to the application of advanced technologies like text mining and blockchain, the book serves as a valuable resource for navigating the evolving landscape of customer engagement and marketing intelligence. Ultimately, it stands as a beacon, illuminating the path toward sustainable and responsible customer engagement strategies in the ever-evolving world of marketing.  2024 by IGI Global. All rights reserved.</text>
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                <text>Future of Customer Engagement Through Marketing Intelligence, pp. 1-286.</text>
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                <text>&lt;a href="https://doi.org/10.4018/9798369323670" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/9798369323670&lt;/a&gt;
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                <text>Sinha M., Christ University, India; Bhandari A., Presidency University, India; Priya S.S., Lal Bahadur Shastri Institute of Management, India; Kabiraj S., He University of Applied Sciences, Finland</text>
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                <text>Future of knowledge management in investment banking: Role of personal intelligent assistants</text>
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                <text>investment banking; knowledge management; machine learning and industrial revolution; Personal intelligent assistants; structural equation modelling</text>
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                <text>Purpose: The studys objective focuses on investigating the involvement of Personal Intelligent Assistants (PIAs) in the Knowledge Management Process (KMP) in Investment Banking Companies leading to Industrial Revolution 5.0 leading to effective Organizational Knowledge Management. Design/Methodology: A Self-administered Survey Questionnaire was circulated to 695 employees of Investment Banking Companies operating in Bangalore, Mumbai, Delhi, Hyderabad, Chennai, and Pune using the Cluster Sampling method. The Covariance-based Structural Equation Modelling (CB-SEM) and Gradient Boosting Regression technique of Machine Learning were used to validate the hypothesis through JASP V.18 Software. Knowledge Creation, Knowledge Sharing, Knowledge Retrieval, Knowledge Application, and Organizational Knowledge Management are the crucial constructs considered in the study. Findings: The results revealed that Knowledge Application is the most influencing factor in effective organizational Knowledge management among the Investment Banks followed by Knowledge Sharing. It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. Implications: The PIAs can facilitate effective Data Analysis and research in managing vast data eliminating the repeated tasks in portfolio reconciliation and offering personalized recommendations to manage portfolios. It enables in compliance, risk management, client relationship management, real-time monitoring and leveraged decision-making through predictive analysis.  The Author(s) 2024.</text>
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                <text>Radhakrishna V.; Ravi H.; Elango S.; Divyashree V.; Jaganathan A.; Ponnusamy M.</text>
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                <text>Methodological Innovations, Vol-17, No. 4, pp. 229-247.</text>
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                <text>&lt;a href="https://doi.org/10.1177/20597991241287118" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/20597991241287118&lt;/a&gt;
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                <text>Radhakrishna V., Mount Carmel College, School of Commerce, Bangalore, India; Ravi H.; Elango S., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Divyashree V., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Jaganathan A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Ponnusamy M., Sona College of Technology, Tamil Nadu, Salem, India</text>
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                <text>Future Perspectives of Microplastic towards Environmental Assessment</text>
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                <text>Microplastic (MP) pollution is an outcome of the widespread use of non-biodegradable plastic and improper disposal. This leads to contamination of environmental resources, such as landfills, and all kinds of water reservoirs including but not limited to sea, fresh water, drinking water, and even wastewater. Recent reports have highlighted the presence of MPs in the human body, including blood, lungs, placentas, and breast milk, indicating the severity of the issue. It is thus crucial to eliminate these hazardous contaminants from the environment. One of the effective methods to address the concern while reducing the adverse effects is to remove the MPs at their discharge points. Nanomaterials with exceptional properties like high surface area, ease of functionalization, and high affinity toward various pollutants act as excellent adsorbents. In this chapter, we present an overview of emerging nanomaterial-based adsorbents, such as photocatalysts, metal-organic frameworks, carbon-based nanomaterials, and nanocomposites, for effective removal of MPs from aqueous media via adsorption, photo-catalysis, and membrane filtration. However, considering that the research in the area of MP pollution is still in its infant stage, we aim to provide a brief account of the strengths, weaknesses, and future research dimensions of nanomaterial-based adsorbents for removing MPs from aqueous media.  2025 selection and editorial matter, Nirmala Kumari Jangid and Rekha Sharma; individual chapters, the contributors.</text>
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                <text>Murthy H.</text>
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                <text>Microplastics: Detection, Extraction, Remediation Techniques, and Future Perspectives, pp. 212-229.</text>
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                <text>&lt;a href="https://doi.org/10.1201/9781003486947-11" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003486947-11&lt;/a&gt;
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                <text>Murthy H., Department of Electronics and Communication Engineering, School of Engineering and Technology, CHRIST Deemed to be University, India</text>
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                <text>Future perspectives on new innovative technologies comparison against hybrid renewable energy systems</text>
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                <text>Fuel cell electric vehicles; Hybrid renewable energy; Renewable energy systems; Storage-based geothermal; Storage-based hydropower; Vehicle energy management</text>
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                <text>The increase in the dispatchable amount of renewable energy and rural access to the point is proposed. The fuel is used to generate power and electrical energy for the machine. This causes the electricity to manage the single connection point to analyze the hybrid generations. Improving this hybrid generator of renewable power resources can be enabled for the analysis. Photovoltaic power sources have been introduced for converting the power loads and the dumps. The vehicle energy power management technique and the renewable energy system have been used for the analysis. This study shows how vehicle and renewable energy management can help develop geothermal against hydrothermal vents. Hydropower and vehicles can enable bioethanol for vehicle biodiesel. This study allows for the analysis of hydrothermal and biodiesel. In this study, the power of the energy enables the hybrid system, and the combination of the power generator to access the vehicle is proposed.  2023</text>
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                <text>Kannan N., Department of Electrical Engineering, Faculty of Engineering, Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Pradhan R., GLA University, Mathura, India; Dhingra M., Department of Mathematics and Statistics, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Kalimuthukumar S., Department of Biomedical Engineering, Kalasalingam Academy of Research and Education, India; Mahaveerakannan R., Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, Chennai, India; Gayathri R., Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, India</text>
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                <text>In recent years, with the rapid advancement of technology and the global shift towards digital education, e-learning has gained significant momentum from education sectors. However, there are still several challenges and areas for improvement in the field of e-learning. This work discusses several future research directions that contribute to the effective implementation and enhancement of e-learning in solving real world problems. Also, various components like pedagogical strategies, technology integration, learner support and engagement, assessment and evaluation, accessibility and inclusivity, professional development for educators, quality assurance and accreditation, and ethical and legal issues are explained towards implementation of e-learning. Hence, this chapter explains the effectiveness, accessibility, and inclusivity of e-learning as providing effective educational opportunities for learners globally.  2024, IGI Global. All rights reserved.</text>
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                <text>Architecture and Technological Advancements of Education 4.0, pp. 75-105.</text>
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                <text>Distributed generation; Electric distribution networks; Electric vehicle fleet; Greenhouse gas emission minimization; Loss minimization; Voltage stability enhancement</text>
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                <text>In this paper, a new nature-inspire meta-heuristic algorithm called future search algorithm (FSA) is proposed for the first time to solve the simultaneous optimal allocation of distribution generation (DG) and electric vehicle (EV) fleets considering techno-environmental aspects in the operation and control of radial distribution networks (RDN). By imitating the human behavior in getting fruitful life, the FSA starts arbitrary search, discovers neighborhood best people in different nations and looks at worldwide best individuals to arrive at an ideal solution. A techno-environmental multi-objective function is formulated using real power loss, voltage stability index. The active and reactive power compensation limits and different operational constraints of RDN are considered while minimizing the proposed objective function. Post optimization, the impact of DGs on conventional energy sources is analyzed by evaluating their greenhouse gas emission. The effectiveness of the proposed methodology is presented using different case studies on Indian practical 106-bus agriculture feeder for DGs and 36-bus rural residential feeder for simultaneous allocation of DGs and EV fleets. Also, the superiority of FSA in terms of global optima, convergence characteristics is compared with various other recent heuristic algorithms.  2021, The Author(s).</text>
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                <text>Janamala V.; Kamal Kumar U.; Pandraju T.K.S.</text>
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                <text>SN Applied Sciences, Vol-3, No. 4</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 25233971</text>
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                <text>Janamala V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed To Be University), Bangalore, 560 074, Karnataka, India; Kamal Kumar U., Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupati, 517 102, Andhra Pradesh, India; Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, 521 139, Andhra Pradesh, India</text>
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                <text>Future Technology and Labour - Are we Heading Towards a Jobless Future?</text>
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                <text>Artificial Intelligence; Fourth Industrial Revolution; Redundancy of Labour</text>
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                <text>Technological innovations and the invention of machines powered by Artificial intelligence2have changed the way we work, interact and carry on our everyday lives. Automation wave has revolutionized the manner in which the traditional manufacturing and service-oriented industries are functioning today. The first industrial revolution was triggered with the invention of steam engine and also led to mechanical production. The invention of electricity and assembly lines resulted in the second industrial revolution where mass production became feasible. The third industrial revolution was driven by computer, digital technology and the internet. The future technologies have resulted in the fourth industrial revolution. The new age technological innovations and inventions such as the automated robots; big data and analytics; augmented reality; the cloud; cyber security; additive manufacturing; horizontal and vertical integration; the internet of things are transforming industrial production and labour relations. There is a drastic improvement in the entire chain of production ranging from design up to productivity, the speed and the quality at which the goods are produced. As a result of the new age technologies various concerns are raised especially its impact on the employment. Many labourers are rendered unemployed and redundant due to automation. The question that arises is whether we are approaching a jobless future?? The job market in India is also undergoing a transformation and posing many social, economic, legal and ethical challenges. Job structure is changing and the workers need to equip themselves with new skills to fit into the new jobs that are emerging as a result of technological innovation. The education system in any country plays a pivotal role in the overall development of an economy as it caters to the needs of the trained and skilled manpower. It is vital for the education system in the country to re-orient itself to cater to the needs of the students to fit into the changing paradigm. The focus of the education needs to be on imparting life-skills and to improve the thinking, problem-solving and decision-making ability of the individuals in a society. In the light of the above, it is also important to address and discuss the various changes, issues and challenges that are taking place in the labour market including the impact of these technologies on the working hours, wages, the working environment and the labour relations amongst others.  2019, Department of Law, University of North Bengal. All rights reserved.</text>
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                <text>Indian Journal of Law and Justice, Vol-10, No. 2, pp. 1-15.</text>
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                <text>Utilization of Electric Vehicle as an auxiliary power source to a DC micro-grid for active power regulation is examined here. This paper focus on development of a Fuzzy based controller capable of regulating the bi-directional active power flow between a 10 kW DC Micro-grid and an Electric Vehicle. The system enables to balance the load on grid by performing peak shaving during peak hours and valley filling during off-peak hours. The load curve of Bangalore city for a typical day was taken as the reference and was used to implement the power flow control. The DC grid was designed for a 10 kW PV based micro-grid. The integrated DC micro-grid was simulated on MATLAB/Simulink platform and the obtained characteristics demonstrate that the power flow from grid to vehicle and vehicle to grid during the peak and off-peak periods respectively. The auxiliary battery pack was stressed only to 10.7 % of its 1C-rating leaving scopes for higher level power transmission possible between the systems.  2019 IEEE.</text>
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                <text>Jose C.P., Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Haneesh K.M., Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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                <text>Fuzzy Logic Based Energy Storage Management for Parallel Hybrid Electric Vehicle</text>
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                <text>Energy management strategies; Forward facing; Fuel economy; Fuzzy logic; Optimizing; Power controller</text>
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                <text>For the parallel hybrid electric vehicle, the various control strategies for energy management are illustrated with the implementation of fuzzy logic. The controller is designed and simulated in two modes for the economy and fuel optimisation. In order to manage the energy in HEV with three separate energy sources - batteries, Fuel cell and a supercapacitor system, - this article intends to create a fuzzy logic controller. By considering a complete system, the operating efficiency of the components need to be optimized. the control strategy implementation will be performed by the forward-facing approach. The fuel economy is optimised by maximising the operating efficiency in this strategy while other strategies does not have this extra aspect. The ability controller for parallel hybrid vehicles is mentioned in this research to enhance fuel economy. Although the earlier installed power controllers optimise operation, they do not fully utilise the capabilities. Hybrid vehicles can be equipped with a variety of power and energy sources such as batteries, internal combustion engines, fuel cell systems, supercapacitor systems or flywheel systems.   The Authors, published by EDP Sciences, 2024.</text>
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                <text>Hussein A.H.A.; Vijaya Rama Raju V.; Saritha G.; Subramani R.; Alsalami Z.</text>
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                <text>E3S Web of Conferences, Vol-564</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Hussein A.H.A., College of Pharmacy, Ahl Al Bayt University, Karbala, Iraq; Vijaya Rama Raju V., Department of EEE, GRIET, Bachupally, Telangana, Hyderabad, India; Saritha G., Sri Sai Ram Institute of Technology, Chennai, India; Subramani R., Department of Mathematics, Christ University, Bangalore, India; Alsalami Z., Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq</text>
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                <text>Samanta, Debabrata.</text>
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                <text>&lt;a href="https://drive.google.com/file/d/1I2maJakOQDmhzxAA_qs_7rAvcyMfdD67/view" target="_blank" title="Fuzzy logic based system of intelligent electric solar dyer for fruits /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1I2maJakOQDmhzxAA_qs_7rAvcyMfdD67/view&lt;/a&gt;</text>
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The present invention is related to a system of intelligent electric solar dyer for fruits using fuzzy logic based algorithm processed by at least one processor of a central processing unit of the system.</text>
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                <text>&lt;a href="https://drive.google.com/file/d/1bR9QIpq9CA7QRJROlAE-5X53aj6FcppY/view" target="_blank" title="Fuzzy logic based system of intelligent electric solar dyer for fruits /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1bR9QIpq9CA7QRJROlAE-5X53aj6FcppY/view&lt;/a&gt;</text>
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                <text>FUZZY MODULARITY AND FUZZY COMPLEMENTS IN FUZZY LATTICES</text>
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                <text>In this paper, we study the concept of fuzzy modularity in fuzzy lattices. We also define a fuzzy Birkhoff lattice and study fuzzy complements in fuzzy lattices. We prove that the notions of a right and a left complement coincide in a fuzzy lattice  I??k University, Department of Mathematics, 2022; all rights reserved</text>
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                <text>Wasadikar M.; Khubchandani P.</text>
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                <text>Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, Vol-12, No. 4, pp. 1368-1379.</text>
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                <text>Wasadikar M., Formerly of Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 431004, India; Khubchandani P., Department of Data Science, Christ (Deemed to be University), Pune Lavasa Campus, India</text>
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                <text>Fuzzy Rule-Based Multimodal Health Monitoring System Leveraging Machine Learning Techniques Using Eeg Datasets For Human Emotion And Psychological Disorders  </text>
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                <text>In recent decades, machine learning and data analysis have become increasingly important in mental health for diagnosing and treating psychological disorders. One area of particular interest is the use of electroencephalography (EEG) brainwave data to classify emotional states and predict psychological disorders. This study proposed a data fusion to enhance the precision of emotion recognition. A feature selection strategy using data fusion techniques was implemented, along with a multi-layer Stacking Classifier combining various algorithms such as support vector classifier, Random Forest, multilayer perceptron, and Nu-support vector classifiers. Features were selected based on Linear Regression-based correlation coefficient scores, resulting in a dataset with 39% of the original 2548 features. This framework achieved a high precision of 98.75% in identifying emotions. The study also focused on negative emotional states for recognizing psychological disorders. A Genetic Algorithm (GA) was used for feature selection, and k-means clustering organized the data. The dataset included 707 trials and 2542 unlabeled features. Resampling techniques ensured a balanced representation of emotional states, and GASearchCV optimized Gradient Boosting classifier hyperparameters. The Elbow Method determined the optimal number of k-Means clusters, and resampling addressed class imbalance. GA parameters and gradient- boosting hyperparameters were empirically determined. ROC curves and classification reports evaluated performance, resulting in a high accuracy of 97.21% in predicting psychological disorders. The proposed system employed fuzzy logic to calculate a health score that combines the outputs of the emotional and psychological disorder monitoring models for a multimodal health monitoring system. This
approach provides a more comprehensive assessment of an individual's overall mental health status. The findings suggest that the system achieved high efficiency in predicting emotions, showcasing comprehensive progress in EEG-based emotion analysis and disorder diagnosis. These advancements have potential implications for mental health monitoring and treatment, particularly with the integration of the PHQ-9 Scale and fuzzy logic.</text>
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                <text>Saba, Tahseen </text>
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                <text>Christ(Deemed to be University)</text>
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                <text>Addapalli, V N Krishna and Danti, Ajit</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/620497" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/620497&lt;/a&gt;</text>
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                <text>FUZZY SEMI-ESSENTIAL SUBMODULES AND FUZZY SEMI-CLOSED SUBMODULES</text>
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                <text>Fuzzy prime submodule; fuzzy semi-closed submodule; fuzzy semi-essential submodule</text>
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                <text>In this paper, we prove some properties of fuzzy semi-essential submodules and fuzzy semi-closed submodules  I??k University, Department of Mathematics, 2023; all rights reserved</text>
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                <text>Nimbhorkar S.K.; Khubchandani J.A.</text>
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                <text>Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, Vol-13, No. 2, pp. 568-575.</text>
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                <text>Nimbhorkar S.K., Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 431004, India; Khubchandani J.A., School of Business and Management, Christ (Deemed to be University), Pune Lavasa Campus, India</text>
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                <text>Corporate fed; Microstrip array; Rectangular patch; Return loss; VSWR</text>
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                <text>This paper presents the performance analysis of an optimized corporate-fed Rectangular Microstrip Antenna Array of four elements and Rectangular Microstrip Antenna array with Semi-Circular Tabs on the nonradiating edges of each element of the array to operate at 2.4 GHz, with detailed steps of the design process. The proposed antenna structures have been designed using FR4 dielectric substrate having a permittivity ?r of 4.4 with a thickness of 1.6 mm. The simulations have been carried out by using Antenna simulator HFSS version 15.0.0 and performance was analyzed for gain, bandwidth, VSWR, return loss and radiation pattern. The gain of these simulated antenna arrays is 2.4381 dB, 8.2684 dB and 8.5621 dB with a return loss of ?22.4123 dB, ?14.1095 dB and ?15.7621 dB for Single-Element patch, conventional Rectangular Microstrip array and Rectangular Microstrip Antenna array with semicircular tabs respectively at 2.4 GHz. Bandwidths exhibited by Single-Element patch, RMSACT and RMSA are 59.8 MHz, 83.9 MHz, and 212.7 MHz, respectively.  2020, Springer Nature Singapore Pte Ltd.</text>
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                <text>Shashi Kumar D.; Suganthi S.</text>
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                <text>Lecture Notes in Electrical Engineering, Vol-546, pp. 215-222.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064848505&amp;amp;doi=10.1007%2F978-981-13-6159-3_23&amp;amp;partnerID=40&amp;amp;md5=a3d0866d30053c90c946d28b3896568a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064848505&amp;amp;doi=10.1007%2f978-981-13-6159-3_23&amp;amp;partnerID=40&amp;amp;md5=a3d0866d30053c90c946d28b3896568a&lt;/a&gt;</text>
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                <text>ISSN: 18761100; ISBN: 978-981136158-6</text>
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                <text>Shashi Kumar D., Department of ECE, Christ University, Bangalore, India; Suganthi S., Department of ECE, Christ University, Bangalore, India</text>
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                <text>GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force</text>
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                <text>Walking (gait) irregularities and abnormalities are predictors and symptoms of disorder and disability. In the past, elaborate video (camera-based) systems, pressure mats, or a mix of the two has been used in clinical settings to monitor and evaluate gait. This article presents an artificial intelligence-based comprehensive investigation of ground reaction force (GRF) pattern to classify the healthy control and gait disorders using the large-scale ground reaction force. The used dataset comprised GRF measurements from different patients. The article includes machine learning- and deep learning-based models to classify healthy and gait disorder patients using ground reaction force. A deep learning-based architecture GaitRec-Net is proposed for this classification. The classification results were evaluated using various metrics, and each experiment was analysed using a fivefold cross-validation approach. Compared to machine learning classifiers, the proposed deep learning model is found better for feature extraction resulting in high accuracy of classification. As a result, the proposed framework presents a promising step in the direction of automatic categorization of abnormal gait pattern.   2022 Chandrasen Pandey et al.</text>
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                <text>PPAR Research, Vol-2022</text>
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                <text>&lt;a href="https://doi.org/10.1155/2022/9355015" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/2022/9355015&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&amp;amp;doi=10.1155%2F2022%2F9355015&amp;amp;partnerID=40&amp;amp;md5=5976153d18699af40373ab262d7d7e9c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&amp;amp;doi=10.1155%2f2022%2f9355015&amp;amp;partnerID=40&amp;amp;md5=5976153d18699af40373ab262d7d7e9c&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="111573">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 16874757</text>
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              <elementText elementTextId="111578">
                <text>Pandey C., National Institute of Technology, Meghalaya, India; Roy D.S., National Institute of Technology, Meghalaya, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Road, Karnataka, Bangalore, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India; Verma A., Department of Computer Science &amp;amp; Engineering, University Centre for Research &amp;amp; Development, Chandigarh University, Punjab, Mohali, 140413, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia</text>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="123079">
                <text>Galerkin finite element analysis of magneto-hydrodynamic natural convection of Cu-water nanoliquid in a baffled U-shaped enclosure</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="123080">
                <text>Baf?ed U-shaped; Galerkin ?nite element method; Nanoliquid; Natural convection; Nusselt number; Rayleigh number</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="123081">
                <text>In this paper, single-phase homogeneous nanofluid model is proposed to investigate the natural convection of magneto-hydrodynamic (MHD) flow of Newtonian CuH2O nanoliquid in a baffled U-shaped enclosure. The Brinkman model and Wasp model are considered to measure the effective dynamic viscosity and effective thermal conductivity of the nanoliquid correspondingly. Nanoliquid's effective properties such as specific heat, density and thermal expansion coefficient are modeled using mixture theory. The complicated PDS (partial differential system) is treated for numeric solutions via the Galerkin ?nite element method. The pertinent parameters Hartmann number (1 ? Ha ? 60), Rayleigh number (103 ? Ra ? 106) and nanoparticles volume fraction (0% ? ? ? 4%) are taken for the parametric analysis, and it is conducted via streamlines and isotherms. Excellent agreement between numerical results and open literature. It is ascertained that heat transfer rate enhances with Rayleigh number Ra and volume fraction ?, however it is diminished for larger Hartmann number Ha.  2020 Beihang University</text>
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              <elementText elementTextId="123082">
                <text>Zaim A.; Aissa A.; Mebarek-Oudina F.; Mahanthesh B.; Lorenzini G.; Sahnoun M.; El Ganaoui M.</text>
              </elementText>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="123083">
                <text>Propulsion and Power Research, Vol-9, No. 4, pp. 383-393.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="123084">
                <text>Elsevier Ltd</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="123085">
                <text>2020-01-01</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1016/j.jppr.2020.10.002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jppr.2020.10.002&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097766438&amp;amp;doi=10.1016%2Fj.jppr.2020.10.002&amp;amp;partnerID=40&amp;amp;md5=f9e1c5fb04a4c6269c460406f1c03f32" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097766438&amp;amp;doi=10.1016%2fj.jppr.2020.10.002&amp;amp;partnerID=40&amp;amp;md5=f9e1c5fb04a4c6269c460406f1c03f32&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="123087">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="123088">
                <text>ISSN: 2212540X</text>
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            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="123089">
                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="123090">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="123092">
                <text>Zaim A., BLSTE Laboratory, Faculty of Science and Technology, University of Mascara, Mascara, Algeria; Aissa A., Laboratoire de Physique Quantique de La Matie et Modisation Mathatique (LPQ3M), UniversitMustapha Stambouli de Mascara, Mascara, Algeria; Mebarek-Oudina F., Department of Physics, Faculty of Sciences, University of 20 Ao 1955-Skikda, Skikda, 2100, Algeria, Laboratoire des Matiaux et Gie Energique (LMGE), University of 20 Ao 1955-Skikda, Skikda, 2100, Algeria; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Lorenzini G., Department of Engineering and Architecture, University of Parma, Parco Area Delle Scienze 181/A, Parma, 43124, Italy; Sahnoun M., Laboratoire de Physique Quantique de La Matie et Modisation Mathatique (LPQ3M), UniversitMustapha Stambouli de Mascara, Mascara, Algeria; El Ganaoui M., Laboratoire ergique de Longwy (FJV/LERMAB), Universitde Lorraine, France</text>
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  <item itemId="21577" public="1" featured="0">
    <collection collectionId="21">
      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="62842">
                  <text>Reviews</text>
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      <name>Review</name>
      <description>Faculty Publications- Reviews</description>
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      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="197360">
                <text>GalNAc-siRNA conjugates: Prospective tools on the frontier of anti-viral therapeutics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="197361">
                <text>GalNac conjugate; Hepatitis B; Hepatocytes; SiRNA; Virus</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="197362">
                <text>The growing use of short-interfering RNA (siRNA)-based therapeutics for viral diseases reflects the most recent innovations in anti-viral vaccines and drugs. These drugs play crucial roles in the fight against many hitherto incurable diseases, the causes, pathophysiologies, and molecular processes of which remain unknown. Targeted liver drug delivery systems are in clinical trials. The receptor-mediated endocytosis approach involving the abundant asialoglycoprotein receptors (ASGPRs) on the surfaces of liver cells show great promise. We here review N-acetylgalactosamine (GalNAc)-siRNA conjugates that treat viral diseases such as hepatitis B infection, but we also mention that novel, native conjugate-based, targeted siRNA anti-viral drugs may also cure several life-threatening diseases such as hemorrhagic cystitis, multifocal leukoencephalopathy, and severe acute respiratory syndrome caused by coronaviruses and human herpes virus.  2021 Elsevier Ltd</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="197363">
                <text>Thangamani L.; Balasubramanian B.; Easwaran M.; Natarajan J.; Pushparaj K.; Meyyazhagan A.; Piramanayagam S.</text>
              </elementText>
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            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="197364">
                <text>Pharmacological Research, Vol-173</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="197365">
                <text>Academic Press</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="197366">
                <text>2021-01-01</text>
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              <elementText elementTextId="197367">
                <text>&lt;a href="https://doi.org/10.1016/j.phrs.2021.105864" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.phrs.2021.105864&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&amp;amp;doi=10.1016%2Fj.phrs.2021.105864&amp;amp;partnerID=40&amp;amp;md5=018e550bd85fe60324a2a8024e78d290" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&amp;amp;doi=10.1016%2fj.phrs.2021.105864&amp;amp;partnerID=40&amp;amp;md5=018e550bd85fe60324a2a8024e78d290&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="197368">
                <text>All Open Access; Green Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 10436618; PubMed ID: 34474100; CODEN: PHMRE</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="197370">
                <text>Online</text>
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                <text>Mansurali A., School of Business and Management, Christ University, Bangalore, India; Harish V., PSG Institute of Management PSG College of Technology, Coimbatore, India; Hussain S., School of Business and Management, Christ University, Bangalore, India; Sharma R., Himalayan School of Management Studies, Swami Rama Himalayan University, Dehradun, India</text>
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