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                <text>Ara, Affreen; Rekha, V.</text>
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                <text>Enhancing Music Emotion Recognition with LSTM: Evaluating Various Embedding Techniques</text>
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                <text>Ara A., Department of Computer Science and Engineering, Christ University, Karnataka, India; Rekha V., Department of Computer Science and Engineering, Christ University, Karnataka, India</text>
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                <text>The study investigates the application of Long Short-Term Memory (LSTM) networks for emotion classification in music lyrics. It focuses on the comparative effectiveness of various word embedding techniques. It evaluates the performance of static embeddings (GloVe, Word2Vec, FastText) versus contextual embeddings (BERT, Distil BERT) across three datasets: MER Lyrics, Mood Lyrics, and Combined Lyrics. Additionally, the study examines the role of stylistic and content-based features in enhancing classification accuracy. The results demonstrate that contextual embeddings considerably outperform static embeddings, achieving accuracy rates of up to 98% compared to 60% for static approaches. Moreover, combining multiple lyric datasets leads to improved model generalization. The findings show the potential of transformer-based models for advancing music emotion recognition. Future research will focus on optimizing large embedding models using techniques such as pruning, quantization, and distillation to enhance computational efficiency.  2025 Seventh Sense Research Group.</text>
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                <text>22nd International Learning and Technology Conference: Human-Machine Dynamics Fueling a Sustainable Future, L and T 2025;pp.95-102</text>
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                <text>Ara A., University of Hail, College of Business Administration, Hail, Saudi Arabia; Ara A., Christ University, Computer Science Department, Bangalore, India</text>
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                <text>The study focuses on the use of intelligent technologies in sustainable town planning and smart city learning, both of which are needed to solve new urban problems. According to recent studies, there is a knowledge gap about studies related to smart urban planning and smart city studies The purpose of this study is to propose a way of smart city education and sustainable urban planning with necessary modern technology prioritizing citizen engagement and environmental sustainability. The principal objective of the study is to provide research-based recommendations on incorporating field-based activities in the course of smart city education. To accomplish this objective, the study uses five in-depth case studies. Each of the three case studies are real case. The potential implication of the study is to transform urban planning education, thus enhancing the participation of citizens in urban and city development. The findings provide a holistic approach by integrating technology, urban planning, and sustainability to improve urban living for sustainable, future smart city developments. This research hopes to provide insight into how new and existing technologies can create improved and more efficient urban areas across the globe.   2025 IEEE.</text>
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                <text>augmented reality; citizen engagement; digital twins; IoT; participatory planning; Smart cities; smart technology integration; sustainable urban planning; urban education; urban sustainability assessment</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Aradhya, S. Guru Basava; Gupta, V. Chithambar; Selvakumar, P.; Raman, Manju Shree; Singh, Jaspreet; Manjunath, T.C.; Sharma, Mohit</text>
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                <text>Sustainable Digitalization Strategies in Business and Healthcare;pp.171-198</text>
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                <text>Aradhya S.G.B., Chandigarh School of Business, Chandigarh Group of Colleges, India; Gupta V.C., Presidency University, India; Selvakumar P., Nehru Institute of Technology, Coimbatore, India; Raman M.S., Christ University, India; Singh J., Central University of Jammu, India; Manjunath T.C., Rajarajeswari College of Engineering, India; Sharma M., Maharshi Dayanand University, Rohtak, India</text>
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                <text>The rapid advancement of technology reshaped sectors, and the concept of digital health encompasses a broad spectrum of innovations, including telemedicine, technologies engagement and provided critical support systems around the world faced unprecedented challenges, digital health solutions emerged as vital tools for maintaining the continuity of care, improving accessibility, and enhancing the overall efficiency of health services. The COVID- 19 pandemic catalyzed a massive shift towards digital health, as physical severely limited facilities. Telemedicine platforms surged in popularity, allowing safety shifts was ongoing management. Digital technologies, could maintain regular contact with these patients, adjusting treatment plans and offering support. Moreover, digital health tools facilitated rapid data collection and analysis, enabling more of the evolving crisis. For instance, played a crucial symptom tracking contact tracing, helping to identify outbreaks and manage community spread. Additionally, allowed policymakers to inform resource allocation public health strategies. Copyright  2025 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Lightweight Anti DDoS Security Tool: Edge Level Filtering in SDN using P4</text>
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                <text>Edge level filtering; ICMP authentication; P4 programming language; Software Defined Network (SDN) security</text>
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                <text>Software Defined Network (SDN) which has a promising future in satellite communication was first introduced as the solution to solve problems existing in the traditional network architecture. So far in SDN, mitigation strategies employed hardware installation or software solution which is heavily dependent on SDN controllers. The disadvantage of these approaches is the a) cost for implementation, b) intensive resource usage, and 3) costly optimization strategy necessary to enhance SDN performance. This research aims to fill the gap of the previously seen defense mechanism by enabling edge-level filtering without involving the control plane. By implementing filtering functions in edge switches, it can provide an efficient and effective defense layer in SDN network systems so that SDN switch can become the first line of defense against packet injection attacks. The proposed solution, Lightweight Anti-DDoS Software (LADS) focuses on lightweight workloads and provisioning of effective filtering mechanism to allow SDN switches to drop and block malicious packets sent by attackers. It utilizes Programming Protocol-independent Packet Processors (P4) programming language to create custom functionalities in SDN switches. P4 allows SDN switches to conduct host authentication and malicious packet filtering as well as blacklisting to isolate attackers. Simulation result proves that LADS efficiently manages malicious activities and maintains network performance during attacks at the data plane independent of SDN controller.   2023 IEEE.</text>
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                <text>Arafune M.; Goswami B.; Kulkarni M.; Venkatachalam N.; Asadollahi S.</text>
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                <text>2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Covid has changed our lives in many ways. People are scared to even step out of their houses, but health care workers have no option but to continue to work and care for the sick. Health care workers play a vital role in providing care to the infected persons, working beyond their capacities and risking their own lives. There is a lot of stress involved in the medical profession, and the pandemic made it worse. Each frontline health worker is at risk of getting infected with Covid during work and carrying it to their families, causing a lot of anxiety and mental health issues among the health care workers. According to a recent by the US Centers for Disease Control and Prevention (CDC), more than half of public health workers have reported symptoms of at least one mental health condition like depression, anxiety, and post-traumatic stress disorder (PTSD) in the recent past. A recent study among 422 doctors revealed 63.5% symptoms of depression, and 45% symptoms of stress, among frontline COVID-19 doctors. Physicians who perceived organizational problems related to procedural and informational justice were exposed to high levels of occupational stress. Every physician should have a personal doctor, and he or she has to seek suitable help as needed. The health care workers' stress is mainly associated with work stress as they are expected to work on a war footing and get very little time to spend with their families. There is a need to set up good psychiatric care for the medical professionals in the hospitals. The administrators of the hospitals should frequently check on the health and well-being of their employees. This article attempts to provide strategies to hospital administrators to help medical professionals reduce their stress levels.  2022</text>
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                <text>Aranha R., Asst. Professor, School of Business &amp;amp; Management, Christ (Deemed to be University), Bangalore, India; Saldanha A., Asst. Professor, St. Joseph's Institute of Management, Bangalore, India; Aranha S., Sr. Resident, Department of Anaesthesiology, Fr. Muller Charitable Hospital, Thumbay, Mangalore</text>
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                <text>developing world; Khadi and village industries; neoliberalism; rural development; women and textile industry</text>
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                <text>The paper aims at bringing out the cultural, economic, and political importance that Khadi has for India from pre-colonial times, during the colonial rule and after independence till the present times. The paper brings out Khadis potential in rural development by solving the pressing concerns of unemployment and working conditions in developing countries like India. In spite of this, Khadis potential at rural development is subsided by the contemporary threats the industry faces due to the different agents of neoliberalism, discussed in the paper. The questionnaire report on workers collected at the Cheriyakonni production unit and information collected at the District Project Office Trivandrum; brings out that rural women are the largest workforce victims of these threats, as the industry is slowly showing signs of degradation. Methodology: The research paper is based on both quantitative and qualitative data analysis. Data is collected from Kerala Khadi and Village Industries Board (KVIB) Project Office Thiruvananthapuram through interviews. Questionnaire is conducted on workers of Cheriyakonni Production Unit, Thiruvananthapuram that operates under the board.  2022 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Textile: The Journal of Cloth and Culture, Vol-22, No. 1, pp. 2-19.</text>
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                <text>Aravind V., Department of International Studies, Christ University Bangalore, India; Girisanker S.B., School of International Studies, Jawaharlal Nehru University, India</text>
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                <text>Synthesis of novel Se capped polymer photocatalyst mobilized under visible light: Exploration of piezoelectric effect and charge transfer mechanism in polymer matrix</text>
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                <text>Electrical measurements; Photocatalysis; Piezoelectricity; Polymer; Selenium semiconductor</text>
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                <text>The present study has shown the original and promising usage of zero valent metallic selenium in the photocatalysis process under visible light. Selenium (Se) dispersed into the Polyvinyl Chloride (PVC) and Polyvinylidene Fluoride (PVDF) polymeric solution (Se-PVC/Se-PVDF matrix) by reflux-calcination method. The SEM and TEM results shows Se nanoparticles are well disseminated into the polymer solution and homogenously mixed to avert cluster of particles. The results shows that Se-PVC matrix effectively enhanced the generation rate of photoinduced electrons and reduced transfer resistance endorsed by photoluminescence, transient photocurrent, and electrical impedance spectroscopy techniques. Further, photocatalytic activity studied in presence of potassium iodide (KI) and isopropyl alcohol (IPA). The decrease in photocatalytic activity order is: Se-PVC &amp;gt; Se-PVDF &amp;gt; Se-PVC + KI &amp;gt; Se-PVDF + KI &amp;gt; Se-PVC + IPA &amp;gt; Se-PVDF + IPA systems. The piezoelectricity phenomena and Surface Plasmon Resonance (SPR) effect proposed for Se-PVC/Se-PVDF matrix and correlated with photocatalytic mechanism for the degradation of Methyl Orange (MO).  2023 Elsevier B.V.</text>
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                <text>Aravinda T.; Kavya K.; Nagendra G.; Srinivas M.; Vishwa P.; Kandaiah S.; Nizam A.; Munirathnam K.; Ramesh K.B.</text>
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                <text>Materials Science and Engineering: B, Vol-296</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.mseb.2023.116633" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.mseb.2023.116633&lt;/a&gt;
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                <text>ISSN: 9215107; CODEN: MSBTE</text>
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                <text>Aravinda T., Department of Chemistry, Nitte Meenakshi Institute of Technology, Yelahanka, Bangalore, India; Kavya K., Department of Chemistry, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Nagendra G., Department of Chemistry, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Srinivas M., Department of Chemistry, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Vishwa P., Department of Chemistry, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Kandaiah S., Department of Chemistry, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Munirathnam K., Department of Physics, School of Applied Sciences, REVA University, Kattigenahalli, Yelahanka, Bangalore, 560064, India; Ramesh K.B., Department of Chemistry, Sharanabasaveshwar College of Science, Kalburgi, 585103, India</text>
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                <text>An Efficient Technique for One-Dimensional Fractional Diffusion Equation Model for Cancer Tumor</text>
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                <text>This study intends to examine the analytical solutions to the resulting one-dimensional differential equation of a cancer tumor model in the frame of time-fractional order with the Caputo-fractional operator employing a highly efficient methodology called the q-homotopy analysis transform method. So, the preferred approach effectively found the analytic series solution of the proposed model. The procured outcomes of the present framework demonstrated that this method is authentic for obtaining solutions to a time-fractional-order cancer model. The results achieved graphically specify that the concerned paradigm is dependent on arbitrary order and parameters and also disclose the competence of the proposed algorithm.   2024 The Authors.</text>
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                <text>CMES - Computer Modeling in Engineering and Sciences, Vol-141, No. 2, pp. 1347-1363.</text>
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                <text>&lt;a href="https://doi.org/10.32604/cmes.2024.053916" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.32604/cmes.2024.053916&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 15261492</text>
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                <text>Archana D.K., Department of Mathematics, Davangere University, Davangere, 577007, India; Prakasha D.G., Department of Mathematics, Davangere University, Davangere, 577007, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Nisar K.S., Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia, Saveetha School of Engineering, SIMATS, Chennai, 602105, India</text>
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                <text>HER2 siRNA Facilitated Gene Silencing Coupled with Doxorubicin Delivery: A Dual Responsive Nanoplatform Abrogates Breast Cancer</text>
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                <text>breast cancer; doxorubicin; gene-drug co-delivery; HER2 siRNA; RNA interference</text>
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                <text>The present study investigated the concurrent delivery of antineoplastic drug, doxorubicin, and HER2 siRNA through a targeted theranostic metallic gold nanoparticle designed using polysaccharide, PSP001. The as-synthesized HsiRNA@PGD NPs were characterized in terms of structural, functional, physicochemical, and biological properties. HsiRNA@PGD NPs exposed adequate hydrodynamic size, considerable ? potential, and excellent drug/siRNA loading and encapsulation efficiency. Meticulous exploration of the biocompatible dual-targeted nanoconjugate exhibited an appealing biocompatibility and pH-sensitive cargo release kinetics, indicating its safety for use in clinics. HsiRNA@PGD NPs deciphered competent cancer cell internalization, enhanced cytotoxicity mediated via the induction of apoptosis, and excellent downregulation of the overexpressing target HER2 gene. Further in vivo explorations in the SKBR3 xenograft breast tumor model revealed the appealing tumor reduction properties, selective accumulation in the tumor site followed by significant suppression of the HER2 gene which contributed to the exclusive abrogation of breast tumor mass by the HsiRNA@PGD NPs. Compared to free drugs or the monotherapy constructs, the dual delivery approach produced a synergistic suppression of breast tumors both in vitro and in vivo. Hence the drawings from these findings implicate that the as-synthesized HsiRNA@PGD NPs could offer a promising platform for chemo-RNAi combinational breast cancer therapy.  2024 American Chemical Society.</text>
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                <text>Archana M.G.; Anusree K.S.; Unnikrishnan B.S.; Reshma P.L.; Syama H.P.; Sreekutty J.; Joseph M.M.; Sreelekha T.T.</text>
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                <text>ACS Applied Materials and Interfaces, Vol-16, No. 20, pp. 25710-25726.</text>
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                <text>ISSN: 19448244; PubMed ID: 38739808</text>
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                <text>Archana M.G., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India; Anusree K.S., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India; Unnikrishnan B.S., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India, Centre for Nanotechnology, Indian Institute of Technology (IIT), Uttarakhand, Roorkee, 247667, India; Reshma P.L., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India; Syama H.P., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India; Sreekutty J., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India; Joseph M.M., Chemical Sciences &amp;amp; Technology Division (CSTD), Organic Chemistry Section, CSIR-National Institute for Interdisciplinary Science &amp;amp; Technology (CSIR-NIIST), Kerala, Thiruvananthapuram, 695019, India, Department of Life Sciences, CHRIST University, Banglore, 560029, India; Sreelekha T.T., Laboratory of Biopharmaceuticals and Nanomedicine, Division of Cancer Research, Regional Cancer Centre (RCC), Kerala, Thiruvananthapuram, 695011, India</text>
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                <text>AUTONOMOUS IOT MOVEMENT IN HOSTILE AREAS USING ROBOTICS AND DEEP FEDERATED ALGORITHMS</text>
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                <text>Autonomous IoT; Deep Federated Algorithms; Hostile Areas; Robotics</text>
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                <text>Innovative solutions are required when Internet of Things (IoT) devices are deployed in hostile or difficult locations to ensure dependable and effective operation. In order to enable autonomous IoT mobility in such challenging circumstances, this study suggests a novel approach integrating robotics and deep federated algorithms. Robotics and IoT can work together to create a system that can adapt to dangerous environments, extreme weather conditions, and unexpected terrain. Deep federated algorithms further improve system performance by facilitating dispersed device collaboration for learning while protecting data privacy. The suggested framework covers the issues of communication stability, energy optimization, and real-time decision-making. We illustrate the practicality of this strategy in strengthening the dependability and efficiency of IoT deployments in hostile situations through simulations and tests.  2023 IEEE.</text>
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                <text>Archana U.; Roslin Dayana K.; Jayadurga R.; Sahaana G.; Praveena K.; Saravanan V.</text>
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                <text>2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023</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/RMKMATE59243.2023.10369410" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/RMKMATE59243.2023.10369410&lt;/a&gt;
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                <text>ISBN: 979-835030570-8</text>
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                <text>Archana U., Department of Computer Science and Design, R.M.K. Engineering College, Tamilnadu, Kavaraipettai, India; Roslin Dayana K., Department of Computer Science and Engineering, R.M.D. Engineering College, Tamilnadu, Kavaraipettai, India; Jayadurga R., Department of Computer Science, Christ University, Yeshwantpur(YPR) Campus, Karnataka, Bengaluru, India; Sahaana G., Department of ECE, Veltech Multitech Dr Rangarajan Dr Shakuntala Engineering College, Tamilnadu, Chennai, India; Praveena K., Department of ECE, Mohan Babu University, Erstwhile Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Saravanan V., Department of Computer Science, Dambi Dollo University, Oromia Region, Dambi Dollo, Ethiopia</text>
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                <text>Education in TQM Way</text>
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                <text>The International Journal's Research Journal of Social Science &amp; Management, Vol-2 (8), pp. 1-4. ISSN-2251-1571</text>
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                <text>Arcot Purna Prasad</text>
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                <text>How safe is the information in this digital era? –A critical review of the status quo /</text>
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                <text>Cyber Security</text>
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                <text>Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770.</text>
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                <text>&lt;a href="https://www.jmra.in/article-details/6097" target="_blank" title="How safe is the information in this digital era? - A critical review of the status quo" rel="noreferrer noopener"&gt;https://www.jmra.in/article-details/6097&lt;/a&gt;</text>
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                <text>Intellect Discover</text>
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                <text>Bulirsch-Stoer computations for bioconvective magnetized nanomaterial flow subjected to convective thermal heating and Stefan blowing: a revised Buongiorno model for theranostic applications</text>
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              <elementText elementTextId="111263">
                <text>bioconvective flow; convective boundary condition; MHD; Nanofluid; response surface methodology; Stefan blowing; theranostic applications</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="111264">
                <text>Theranostics is a novel procedure that integrates therapy and diagnosis in a single platform. For its application in theranostic and photothermal therapy for melanoma skin cancer, the hydromagnetic bioconvective flow of a nanomaterial over a lengthening surface is investigated. Realistic nanomaterial modeling is achieved by incorporating passive control of the nanoparticles at the boundary. The impact of the Newtonian heating and Stefan blowing constraints are also accounted. Apposite transformations are employed and then transmuted nonlinear ODEs are resolved using the Bulirsch-Stoer and Newton-Raphson methods. The influence of Stefan blowing parameter (Formula presented.), the magnetic field parameter (Formula presented.), and the Biot number (Formula presented.) on the heat transfer rate has been scrutinized and optimized utilizing the response surface methodology (RSM). The sensitivity of heat transport rate is computed. It is found that the Newtonian thermal condition intensifies the nanomaterial temperature that serves asa crucial role in the termination of cancerous cells or tumors. The maximum drag coefficient is experienced for the insignificant intensity of the magnetic field and Stefan blowing. Further, the heat transfer rate is maximum when the Stefan blowing and Biot numbers are at a high level and the Hartmann number is at a low level.  2022 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Titanium dioxide plays a vital role in cancer therapy methods (including photothermal therapy and photodynamic therapy), skincare products, heat exchangers, and car radiators. Therefore, the dynamics of the TiO2 nanomaterial with H2O as basefluid over a nonlinearly stretched surface is investigated. For realistic nanoliquid modeling, the conventional Buongiorno model has been improvised (called modified Buongiorno model [MBM]) by incorporating the effective thermophysical properties of the nanoliquid. Experimentally derived correlations of the thermal conductivity and dynamic viscosity of the nanofluid are utilized. The significance of passive control of nanoparticles is also studied. The heat transfer analysis includes the mechanism of Rosseland heat flux and exponential heat source. Similarity theory is used to obtain nonlinear ordinary differential equations (ODEs) from the governing partial differential equations which are solved numerically using bvp5c, a finite difference-based routine in MATLAB. Further, the heat transfer rate is statistically scrutinized for the consequence of magnetic field (Formula presented.), thermal radiation (Formula presented.) and exponential heat source (Formula presented.) by employing Response Surface Methodology (RSM) and sensitivity analysis. The temperature of nanofluid ascends with the exponential heat source, thermal radiation, and thermophoresis aspects. Furthermore, when the MBM is utilised, the thermal field of the nanofluid is greater than when the classic Buongiorno model is used. The rate of heat transfer correlates positively with radiative heat flux. The exponential heat source exhibits a negative sensitivity towards the rate of heat transfer.  2021 Wiley-VCH GmbH</text>
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                <text>Areekara S., Department of Mathematics, St. Thomas College (Autonomous), Kerala, Thrissur, India; Mackolil J., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mahanthesh B., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mathew A., Department of Mathematics, St. Thomas College (Autonomous), Kerala, Thrissur, India; Rana P., Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China</text>
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                <text>A Heuristic Approach to Resolve Priority-Driven Unbalanced Transportation Problem (PUTP)</text>
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                <text>This research addresses the priority-driven unbalanced transportation Problem (PUTP), characterized by a situation where the overall demand surpasses the available supply. We propose the Max-flow Min-cost Priority-driven Unbalanced Transportation Problem (MMPUTP) as a heuristic approach to handle this issue effectively. The strategy of MMPUTP focuses on optimizing resource allocation and reducing costs, making it highly effective in fulfilling high priority needs in a cost-efficient manner. Through a comparison with Vogel's Approximation Method (VAM) over different sets of problems ranging in size from 5?5 to 50?50, the effectiveness of the MMPUTP algorithm is evident. The findings underscore the significance of choosing the right algorithm based on the size and complexity of the problem set in the context of the Priority-driven Unbalanced Transportation Problem, with MMPUTP proving to be a flexible and reliable option in various situations.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Arif A.S.; Babu M.A.; Islam M.N.; Sharif Uddin M.; Poonia R.C.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-409 SIST, pp. 337-349.</text>
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                <text>ISSN: 21903018; ISBN: 978-981977093-9</text>
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                <text>Arif A.S., Department of Mathematics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Babu M.A., Department of Physical Sciences, Independent University, Bangladesh, Dhaka, 1229, Bangladesh; Islam M.N., Department of Mathematics, Jahangirnagar University, Dhaka, 1342, Bangladesh; Sharif Uddin M., Department of Industrial Engineering, Prince Sattam Bin Abdulaziz University, Al Kharj, 11942, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Delhi-NCR, New Delhi, 201003, India</text>
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                <text>Priority-driven Unbalanced Transportation Problem (PUTP) to obtain better Initial Feasible Solution</text>
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                <text>In this paper, we tackle the Priority-driven Unbalanced Transportation Problem (PUTP), a scenario where total demand exceeds total supply. An innovative algorithm, the Penalty-driven Priority-driven Unbalanced Transportation Problem (PPUTP) is introduced to solve this challenge. PPUTP allocates supplies to high-priority demands by computing penalties and sequentially addressing the most penalized demands, thereby ensuring priority demands are met efficiently. A comparative analysis with Vogel's Approximation Method (VAM) across various problem sets ranging from 5x5 to 50x50 dimensions demonstrates the efficiency of our algorithms. PPUTP consistently shows lower percentage increments from the optimal solution, indicating its robustness in providing near-optimal solutions. This study highlights the importance of algorithm selection based on problem set dimensions and complexity in Priority-driven Unbalanced Transportation Problem, with PPUTP emerging as a versatile and robust solution across various scenarios.   2024 IEEE.</text>
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                <text>Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications</text>
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                <text>Arif A.S., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Babu M.A., Independent University Bangladesh, Department of Physical Sciences, Dhaka, 1229, Bangladesh; Khan A.R., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Islam M.N., Prince Sattam bin Abdulaziz University, Department of Industrial Engineering, Al Kharj, 11942, Saudi Arabia; Uddin M.S., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, India; Poonia R.C., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, India</text>
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                <text>Psychological Components for Marital Distress and Divorce in Newlywed Indian Couples</text>
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                <text>The personal and family consequences of the ever-increasing ratio of divorce have focused global attention on formulating tactics to avert marital breakdown. However, the increase in the rate of divorce cases indicates that its core reasons have not yet been tackled. The most recurrently asked question in the literature around divorce is this: Why do couples shatter so soon, even after marrying with high prospects? This study endeavors to find answers for this question from a family psychological perspective. Using a basic interpretative qualitative method and phenomenological research paradigm, this study has provided very personal experiences of 20 newlywed divorced participants and also their sole vision on crucial key psychological factors for marital distress and divorce. One superordinate theme derived in the analysis involves intrapsychic resistance to accommodate life cycle transitions. This research has vital inferences for identifying the challenges faced by contemporary couples on the newlywed life cycle transition.  , Copyright  Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Journal of Divorce and Remarriage, Vol-56, No. 1, pp. 1-24.</text>
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                <text>Ariplackal R., Department of Psychology, Christ University, Bangalore, India; George T.S., Department of Psychology, Christ University, Bangalore, India</text>
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                <text>Divorce prevention programme an intervention based on qualitatively derived psychological themes from newlywed distressed and divorced couples  </text>
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                <text>This study has aimed to develop a competent intervention program as a preventive measure to tackle the increasing divorce rate in the current Indian scenario. Towards this end, the study has been arranged in three phases, with specific objectives guided by specific research questions in each phase. Holding pragmatic philosophical stance, a mixed method framework has directed the entire study, precisely, exploratory mixed design. newlineThe first phase of the study has focused on investigating the in-depth psychological components or etiology of marital distress and divorce in the problem context. Using an Interpretative Phenomenological Analysis (IPA) design, the lived marital experiences of 14 separated and 36 divorced (n=50) newlywed participants has been rigorously explored. Five superordinate themes along with 23 subordinate and 35 emergent themes have been derived in the data analysis, as reasons for marital distress and divorce in newlywed couples. newlineThe challenge of the second phase was to spin a proficient intervention program that is competent to address the identified reasons for marital distress, during the phase-one of the study. Towards this target, the theoretical framework developed by Hughes (1994, 2012 and 2014), Framework for Developing Family Life Education Programme is the model utilized. Following the five steps in the Hughes s framework, the intervention program has been designed and titled Divorce Prevention Programme (DPP). Finally, the phase three task of the study includes experimentation over the immediate and short-term (two-month) effect of the DPP as to what extent marital satisfaction and consummate love would improve to prevent divorce. The pretest, posttest experimental, and waitlist control group design was utilized with a two months follow-up with the experimental group.</text>
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                <text>Ariplackal, Renni.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/204071" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/204071&lt;/a&gt;</text>
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