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                <text>Perla, Someswari; Veledendi, Sudhakar; Jaiswal, Pooja; Muppidi, Satish; Mandala, Jyothi; Maram, Balajee</text>
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                <text>Transfer Learning based Analysis of Chest X-rays for Accurate Lung Disease Detection and Interpretation</text>
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                <text>Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025;</text>
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                <text>Perla S., Gmr Institute of Technology, Department of Cse - Ai&amp;amp;ml, Andhra Pradesh, Rajam, India; Veledendi S., Sr University, School of Computer Science and Artificial Intelligence, Warangal, India; Jaiswal P., Galgotias University, India; Muppidi S., Gmr Institute of Technology, Departnent of Computer Science and Engineering, Rajam, India; Mandala J., Christ(Deemed to be) University, Department of Computer Science and Engineering, Banglore, India; Maram B., Sr University, School of Computer Science and Artificial Intelligence, Telangana, Warangal, 506371, India</text>
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                <text>This is a research paper based on a transfer learning approach with a primary aim at the analysis of chest Xrays for accurate detection and interpretation of lung diseases. The proposed method relies heavily on the use of pretrained deep learning models to enhance diagnostic accuracy and reduce the time and computational resources taken during training. Applying transfer learning to a large chest X-ray dataset, the model successfully detects key patterns associated with common lung diseases, such as pneumonia and tuberculosis. The manuscript encompasses data preprocessing, model finetuning, and performance evaluation and demonstrates huge improvements over the traditional methods both in terms of accuracy and interpretability. It has been experimentally proven that the model is competent enough to provide localization of disease areas, as it can be visualized through heatmaps obtained from predictions, which might further help the radiologists perform their diagnosis tasks. This work advocates for medical imaging automation for the early and efficient detection of lung disease.   2025 IEEE.</text>
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                <text>chest X-rays; deep learning; lung disease detection; medical imaging; Transfer learning</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy</text>
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                <text>A Web proxy caching system is an intermediary between the users and servers that tries to alleviate the loads on the servers by caching selective Web objects and behaves as the proxy for the server and service the requests that are made to the servers by the users. In this paper the performance of a proxy system is measured by the number of hits at the proxy. A higher number of hits at the proxy server reflects the effectiveness of the proxy system. The number of hits is determined by the replacement policies chosen by the proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The outcomes of the paper are proactive strategies that augment the traditional replacement policies with data mining techniques. In this paper, the performances of the greedy replacement policies such as GDS, GDSF and GD* are adapted by the data mining method and weight assignment policy. Experiments were conducted on various data sets. Hit ratio and byte hit ratio were chosen as parameters for performance.  2018 ISSN.</text>
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                <text>Pernabas J.B.; Fidele S.F.</text>
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                <text>International Journal of Innovative Computing, Information and Control, Vol-14, No. 4, pp. 1311-1326.</text>
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                <text>ICIC International</text>
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                <text>&lt;a href="https://doi.org/10.24507/ijicic.14.04.1311" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.24507/ijicic.14.04.1311&lt;/a&gt;
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                <text>ISSN: 13494198</text>
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                <text>Pernabas J.B., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Kengeri Campus Mysore Road, Kanmanike, Kumbalgodu, Bangalore, 560074, India; Fidele S.F., Department of Computer Science and Engineering, Pondicherry Engineering College, Pillaichavadi, 605014, Puducherry, India</text>
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                <text>Enhancing Greedy Web Proxy caching using Weighted Random Indexing based Data Mining Classifier</text>
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                <text>Clustering; Data Mining; GD&lt;sup&gt;?&lt;/sup&gt;                             ; GDS; GDSF; Proxy; Random indexing</text>
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                <text>Web Proxy caching system is an intermediary between the Web users and servers that try to alleviate the loads on the origin servers by caching particular Web objects and behaves as the proxy for the server and services the requests that are made to the servers. In this paper, the performance of a Proxy system is measured by the number of hits at the Proxy. Higher number of hits at the Proxy server reflects the effectiveness of the Proxy system. The number of hits is determined by the replacement policies chosen by the Proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The performance of the web proxy caching system is improved by adapting Data Mining Classifier model based on Web User clustering and Weighted Random Indexing Methods. The outcome of the paper are proactive strategies that augment the traditional replacement policies such as GDS, GDSF, GD? which uses the Data Mining techniques.  2019</text>
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                <text>Pernabas J.B.; Fidele S.F.; Vaithinathan K.K.</text>
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                <text>Egyptian Informatics Journal, Vol-20, No. 2, pp. 117-130.</text>
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                <text>Elsevier B.V.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 11108665</text>
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                <text>Pernabas J.B., Department of Computer Science and Engineering, Faculty of Engineering, CHRIST(Deemed To be University), Kengeri Campus, Kanmanike, Bangalore, 560074, Karnataka, India; Fidele S.F., Department of Computer Science and Engineering, Pondicherry Engineering College, ECR, Pillaichavady, Pondicherry, 605014, India; Vaithinathan K.K., Department of Computer Engineering, Karaikal Polytechnic College, Varichikudy, Karaikal-609609, India</text>
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              <elementText elementTextId="86669">
                <text>Creating a Logic Divider Based on BCD and Utilizing the Vedic Direct Flag Method</text>
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                <text>Direct Flag Vedic Division Process; Reversible Gate technique; RSA Cryptographic</text>
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                <text>Reversible logic has potential for a variety of applications demanding low energy usage since it prevents information loss and energy waste. The purpose of this work is to design a new Vedic divider circuit with reversible gates. Efficiency in quantum and ASIC parameters is demonstrated by the Reversible Direct Flag Vedic Division Method (RDFVDM), which has been devised. Block-level reversible gates are used in the RDFVDM to provide benefits including lower quantum costs and less trash outputs. The performance of Cadence EDA Tool is validated by simulation trials. Based on a comparative examination utilizing current methodologies, RDFVDM performs better than comparable designs. Interestingly, it improves energy usage by 26%. Moreover, RDFVDM performs exceptionally well in terms of quantum cost while employing the RSA cryptographic technique, efficiently managing 1276,293 constant inputs and 311 garbage outputs.  2024 by the Perumal B, Balamanikandan A, Arunraja A, Venkatachalam K, Shaik Rahamtula, Dhanalakshmi M.</text>
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                <text>International Journal of Electrical and Electronics Research, Vol-12, No. 3, pp. 896-904.</text>
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                <text>&lt;a href="https://doi.org/10.37391/ijeer.120321" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.37391/ijeer.120321&lt;/a&gt;
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                <text>Perumal B., Adhiyamaan college of engineering, Hosur, India; Balamanikandan A., Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College), Tirupati, India; Arunraja A., Christ University, Bangaluru, India; Venkatachalam K., Audisankara college of engineering and technology, Gudur, India; Rahamtula S., Ramireddy Subbarami Reddy (RSR) Engineering College, Kavali, India; Dhanalakshmi M., Selvam College of Technology, Namakkal, India</text>
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                <text>Fault analysis in the 5-level multilevel NCA DCAC converter</text>
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                <text>fault compensation; Five-level inverter; multilevel inverter</text>
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                <text>The existing neutral clamped active inverter has common mode voltage with the high frequency which can reduce the severity with less voltage gain. The traditional active neutral point clamped (APC) DCAC converter maintains great common mode voltage with high-frequency (CMV-HF) reduction capability so, it has limited voltage gain. The paper presents a new 5-level active neutral point clamped DCAC converter that can change voltage step-up in a single-stage inversion. In the suggested design, a common ground not only reduces the CMV-HF but also improves DC link voltage use. Compared with the traditional two-stage 5-level APC DCAC converter, the proposed design has lower voltage stresses and greater uniformity. While improving the overall efficiency, the suggested clamped DCAC converter saves three power switches and a capacitor. Modelling and actual tests have proven the suggested active neutral point clamped inverters overall operation, efficacy and achievability. The proposed circuit is finally tested with fault clearance capability.  2023 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Perumal B.; Suresh K.; Parimalasundar E.</text>
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                <text>Automatika, Vol-64, No. 3, pp. 606-612.</text>
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                <text>&lt;a href="https://doi.org/10.1080/00051144.2023.2203553" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/00051144.2023.2203553&lt;/a&gt;
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              <elementText elementTextId="101596">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 51144</text>
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                <text>Perumal B., Department of EEE, Adhiyamaan College of Engineering, Hosur, India; Suresh K., Department of EEE, Christ deemed to be university, Bangalore, India; Parimalasundar E., Department of EEE, SreeVidyanikethan Engineering College, Tirupati, India</text>
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                <text>Perumal, Vivek Karthick; Jayabalan, Ramesh; Paul, Eldho; Selvaraj, Dhanasekaran</text>
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                <text>VLSI Implementation of High-Speed and Area-Efficient Multiplierless Address Generation Architecture for Deinterleaver in WiMAX Applications</text>
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              <elementText elementTextId="217931">
                <text>Journal of Electrical and Computer Engineering;Volume;2025;Issue;1;Article No.;2638291;</text>
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              <elementText elementTextId="217932">
                <text>&lt;a href="https://doi.org/10.1155/jece/2638291" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/jece/2638291&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105019803776?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105019803776?origin=resultslist&lt;/a&gt;</text>
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                <text>Perumal V.K., Department of Electronics and Communication Engineering, Sona College of Technology, Salem, India; Jayabalan R., Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India; Paul E., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India</text>
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                <text>This paper presents a VLSI implementation of a high-speed, area-efficient, multiplierless address generation architecture for the WiMAX deinterleaver, conforming to the IEEE 802.16e standard. The primary motivation of this work is to reduce hardware complexity and delay by eliminating multipliers, which are traditionally used in address generation. The proposed architecture is designed for FPGA and ASIC platforms, emphasizing simplicity, reduced latency, and efficient hardware utilization. The design supports standard modulation schemesQPSK, 16-QAM, and 64-QAMwith their respective code rates. Two key performance evaluations were conducted: Score 1, which refers to FPGA implementation on the Xilinx XC3S400, demonstrated a 13% increase in speed, and Score 2, based on ASIC analysis using 45-nm CMOS technology, and achieved improvements of 17% in power delay product (PDP) and 22% in area delay product (ADP) over existing architectures. These results confirm the architectures effectiveness for high-speed, low-power applications in modern communication systems. Copyright  2025 Vivek Karthick Perumal et al. Journal of Electrical and Computer Engineering published by John Wiley &amp;amp; Sons Ltd.</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="217935">
                <text>address generator; deinterleaver; FPGA; VLSI; WiMAX</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="217936">
                <text>John Wiley and Sons Ltd</text>
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                <text>ISSN: 20900147;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="217940">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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              <elementText elementTextId="224484">
                <text>Perumalsamy, Deepalakshmi; Cornelius, Sharon Roji Priya; Thinakaran, Rajermani</text>
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                <text>AdaptiveNet: A Novel Architecture for Reducing Computation Complexity to Fake Review Classification</text>
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              <elementText elementTextId="224487">
                <text>Information (Switzerland);Volume;17;Issue;4;Article No.;388;</text>
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                <text>&lt;a href="https://doi.org/10.3390/info17040388" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/info17040388&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105037265369?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105037265369?origin=resultslist&lt;/a&gt;</text>
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                <text>Perumalsamy D., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, India; Cornelius S.R.P., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Thinakaran R., Faculty of Data Science and Information Technology, INTI International University, Negeri Sembilan, 71800, Malaysia</text>
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                <text>The exponential rise of e-commerce platforms has resulted in a dramatic increase in online reviews, which creates a challenge in distinguishing fake reviews that erode consumer confidence and harm commerce ecosystems. Traditional approaches for fake review detection employ computationally expensive deep learning networks which are resource-intensive and difficult to use in practice. In this paper, we describe AdaptiveNet, a new lightweight neural architecture that achieves fake review detection with much lower computational resources while maintaining a higher detection and classification precision. The model proposed in this paper is based on three original innovations: a Multi-Scale Semantic Fusion (MSSF) layer for hierarchical feature extraction, Dynamic Attention Scaling (DAS) with complexity measure attention, and Adaptive Parameter Sharing (APS) context-gated networks. With thorough evaluation on Amazon, Yelp, and TripAdvisor datasets of reviews totalling 1.2 million reviews, AdaptiveNet attains 94.8% accuracy while achieving 65% computational overhead in comparison to traditional models. The architecture outperformed all other state-of-the-art models, BERT-base (92.1%), RoBERTa (91.8%), and other more recent efficient models, requiring 70% lower parameters and 60% lower energy consumption. This work markedly advances the other efficient deep learning architectures for text classification and allows for the practical implementation of fake review detection systems in resource-limited settings as process innovation.  2026 by the authors.</text>
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                <text>computational efficiency; dynamic attention; fake review detection; lightweight neural networks; multi-scale feature fusion; natural language processing; parameter sharing; text classification</text>
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            </elementTextContainer>
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                <text>Multidisciplinary Digital Publishing Institute (MDPI)</text>
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                <text>ISSN: 20782489;</text>
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                <text>adolescent; children; HIV; India; quality of life; systematic review</text>
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                <text>Children and adolescents living with HIV (CALHIV) encounters compromised health and well-being especially in developing countries. Understanding the health-related quality of life (HRQOL) of CALHIV living in India is vital in planning and developing comprehensive care approach. A systematic review and meta-analysis were conducted to explore and examine the HRQOL of CALHIV in India. Five electronic databases were searched, retrieving 2,729 citations with a final eight studies that met the inclusion criteria. Methodological quality was assessed using the Joanna Briggs Institute (JBI) critical appraisal tools. The included studies predominantly evaluated quality of life using the Paediatric Quality of Life Inventory, with a mean self-reported HRQOL score of 77.62 (95% CI 72.9182.34, I  2 = 93%). HRQOL of CALHIV observed to be better than other chronically ill children. However, CALHIV demonstrated lower HRQOL than the matched general population. Younger age children and boys reported better HRQOL. Poor socio-economic status, immunological status and advanced clinical stages noted to be adversely affecting HRQOL. HRQOL of children reared in institutional care reported to better or in par with family reared children. The review highlights the sparse evidence investigating the HRQOL of children with HIV in India, and the need for further well-designed studies in this population. A population-specific holistic-care approach recommended to be benefiting the well-being of CALHIV.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Vulnerable Children and Youth Studies, Vol-19, No. 1, pp. 103-123.</text>
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                <text>&lt;a href="https://doi.org/10.1080/17450128.2023.2254550" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/17450128.2023.2254550&lt;/a&gt;
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                <text>Perumbil Pathrose S., School of Nursing and Midwifery, The NSW Centre for Evidence Based Health Care, A Joanna Briggs Institute Affiliated Group, Western Sydney University, Penrith, Australia; Washington R.G., Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada, Division of Infectious Diseases, St Johns Research Institute, Bengaluru, India, Community Health, KHPT/IHAT, Bengaluru, India; Washington M., Division of Epidemiology &amp;amp; Population Health, SJRI, St Johns Research Institute, Bengaluru, India; Raj M., Sneha Charitable trust, Bangalore, India; Sreenath K., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; Sudhesh N.T., Department of Psychology, School of Social Sciences, CHRIST (Deemed to be University), Bangalore, India; He S., School of Nursing and Midwifery, Western Sydney University, Penrith, Australia; Ramjan L., School of Nursing and Midwifery, Western Sydney University, Penrith, Australia</text>
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                <text>A Space Vector Modulated Direct Torque Control of Induction Motor with Improved Transient Performance and Reduced Parameters Dependency</text>
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                <text>Direct torque control (DTC) of induction motors is hampered by high torque and current ripple. Integrating DTC with space vector pulse width modulation (DTC-SVPWM) is one of the frequently used approaches to solve this problem. However, it adds to the computational complexity, increases the number of necessary motor parameters needed for control scheme implementation, and also affects the transient performance of the induction motor; this approach compromises the robustness and simplicity of DTC scheme. To get around these restrictions, a novel control strategy is put forth in this paper. The suggested scheme enhances the steady-state performance and transient response of the motor while preserving the simplicity and robustness of the DTC scheme. To accomplish this, the proposed control scheme operates at varying switching frequencies during transient conditions and constant switching frequencies during steady-state. The suggested speed control method does not employ any rotating reference frame transformations or usage of many rotor parameters for computation, nor does it call for sector identification and operates with a single PI controller. The suggested topology also uses a bus-clamped PWM modulation technique, which lowers the average switching frequency to 2/3 times the actual switching frequency. Thus, switching losses are also decreased. Simulation results show the effectiveness of the proposed topology in enhancing the transient and steady-state performance of the induction motor. The results are compared with the traditional DTC and DTC-SVPWM scheme.   2023 IEEE.</text>
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                <text>Peter A.K.; Haneesh K.M.; Hrudhya Kurian C.</text>
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                <text>2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation, SeFet 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/SeFeT57834.2023.10245340" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/SeFeT57834.2023.10245340&lt;/a&gt;
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                <text>ISBN: 979-835031997-2</text>
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                <text>Peter A.K., School of Engineering and Technology, Christ University, Eee Department, Bengaluru, India; Haneesh K.M., School of Engineering and Technology, Christ University, Eee Department, Bengaluru, India; Hrudhya Kurian C., School of Engineering and Technology, Christ University, Eee Department, Bengaluru, India</text>
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                <text>A novel framework for cloud-based analytic of massive and multi-structured  healthcare images for real-time insights  </text>
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                <text>The dependency of healthcare industry on the information and communication technology newline(ICT) domain is consistently on the rise in order to conceptualize and provide1537608 newlinesophisticated services to various newlinestakeholders including patients, newlinecaregivers, support service providers, medical practitioners, and experts. There are a variety of decisive advancements in the diagnosis, medication and surgical processes, medical electronics, instruments and equipment, healthcare-centric robots, a bevy of cloud-based healthcare software solutions, medical data hubs, etc. One direct offshoot of all these developments is that the amount of multi-structured data is exponentially growing. There is a litany of support and expert systems in order to lessen the doctors workloads. However the brewing challenges and new-generation requirements include the real-time processing of medical data to extract real-time insights and decision-enablement, the substantial enhancements in appropriate and accurate processing and understanding of various and overlapped symptoms towards correct and strategically sound decisions, the real-time analytics of medical data, the empowerment of medical devices to assist surgeons and specialists in performing their tasks in an assured manner, etc. newlineThe Problem Description - Medical imaging is one of the fundamental and most important areas of the healthcare system. This needs accuracy in processing and producing best results for further diagnosis and action. There are various factors impelling medical imaging like patient preparation, different scanning modalities, the scanner used to capture the image and various algorithms adopted for processing the captured images. </text>
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                <text>Raj, Pethuru</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/121882" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/121882&lt;/a&gt;</text>
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                <text>One among the major modern life-style diseases is Diabetes. Diabetic Retinopathy is a major cause for blindness even at an early age. Clinical assessments for eye disease are done using visual examinations and probing. Retinal vessel segmentation is an important technique which helps in detection of changes that happens in blood vessel as well as gives information regarding the location of vessels. The work presented in this paper tries to detect and analyze the changes occurred in the blood vessels of human retina caused by diabetic retinopathy. Using digital imaging techniques, the severity screening technique facilitates the diagnosis of diabetic retinopathy. The model works in such a way that it helps the Ayurvedic treatment methodology for Diabetic Retinopathy. Results are obtained to categorize the data elements according to the severity of the disease and different classifications.   2022 IEEE.</text>
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                <text>Peter C.S.; Elappila M.; Swathi A.C.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICDCECE53908.2022.9793131" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDCECE53908.2022.9793131&lt;/a&gt;
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                <text>Peter C.S., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Elappila M., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Swathi A.C., K. T. G. Ayurvedic Medical College, Department of Shalakya Tantra, Bangalore, India</text>
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                <text>Nine Level Quadra Boost Inverter with Modified Level Shifted Pulse Width Modulation Technique</text>
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                <text>Harmonic distortion; LS-VFPD; MLI; NLMLI; Phase disposition; SC-9LBI; THD; VFPWM</text>
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                <text>This research initiatives to introduce a switched capacitor based nine level boost inverter (SC-9LBI) powered by modified level shifted pulse width modulation (PWM) technique. The SC-9LBI equipped with single DC source along with three capacitors and eight controlled switches to develop nine level inverter output voltage. The suggested inverter configuration has the ability of boosting the inverter input voltage into 1:4 ratio. Also, this research involves modified level shifted PWM technique to enhance the quality of inverter output voltage. The effectiveness of the NLMLI is assessed through parameters such as harmonic distortion, peak voltage, and output voltage root mean square value (rms). Simulation studies have been conducted using MATLAB/Simulink to evaluate the proposed inverter's performance.  2024 IEEE.</text>
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                <text>Peter G.; Arun V.; Stonier A.A.; Praghash K.; Jency Rubia J.; Iderus S.</text>
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                <text>Peter G., University of Technology, Crisd, School of Engineering and Technology, Sarawak, Malaysia; Arun V., Mohan Babu University, Department of Electrical and Electronics Engineering, India; Stonier A.A., Vellore Institute of Technology, School of Electrical Engineering, Vellore, India; Praghash K., Christ University, Department of Electronics and Communication Engineering, India; Jency Rubia J., Vel Tech Rangarajan Dr.Sagunthala R&amp;amp;d Institute of Science and Technology, Department of Electronics and Communication Engineering, India; Iderus S., University of Technology, Crisd, School of Engineering and Technology, Sarawak, Malaysia</text>
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                <text>Level Shifted Phase Disposition PWM Control for Quadra Boost Multi Level Inverter</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>LS-PD; MLI; NBSCI; THD</text>
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                <text>This article introduces a novel boost switched capacitor Inverter (NBSCI) that significantly advances existing designs. Many recently developed multilevel voltage source inverters stand out for their ability to reduce the number of DC sources while markedly improving voltage levels with fewer switching devices. Building on these advancements, our work proposes an innovative inverter arrangement that, utilizing 1 DC source, eight switches and 3 capacitors, achieves 9-level output voltage waveforms. The increased range of voltage levels facilitates the generation of high-quality sine wave output signals with minimal Total Harmonic Distortion (THD). Also, this work employs Level shifted - Phase Disposition (LS-PD) pulse width modulation techniques to generate gating signals, ensuring the production of superior output waveforms. The article also presents various simulation results conducted using MATLAB-SIMULINK, providing a comprehensive assessment of the proposed configuration's precise effectiveness under diverse modulation index.  2024 IEEE.</text>
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                <text>Peter G.; Arun V.; Stonier A.A.; Praghash K.; Jency Rubia J.; Iderus S.</text>
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                <text>2024 4th International Conference on Intelligent Technologies, CONIT 2024</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/CONIT61985.2024.10626836" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CONIT61985.2024.10626836&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774734&amp;amp;doi=10.1109%2FCONIT61985.2024.10626836&amp;amp;partnerID=40&amp;amp;md5=07d2cdc3261a44b0d3ffc5a209d663f3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774734&amp;amp;doi=10.1109%2fCONIT61985.2024.10626836&amp;amp;partnerID=40&amp;amp;md5=07d2cdc3261a44b0d3ffc5a209d663f3&lt;/a&gt;</text>
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                <text>ISBN: 979-835034990-0</text>
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                <text>Peter G., University of Technology, Crisd, School of Engineering and Technology, Sarawak, Malaysia; Arun V., Mohan Babu University, Department of Electrical and Electronics Engineering, India; Stonier A.A., Vellore Institute of Technology, School of Electrical Engineering, Vellore, India; Praghash K., Christ University, Department of Electronics and Communication Engineering, India; Jency Rubia J., Vel Tech Rangarajan Dr.Sagunthala R&amp;amp;d Institute of Science and Technology, Department of Electronics and Communication Engineering, India; Iderus S., University of Technology, Crisd, School of Engineering and Technology, Sarawak, Malaysia</text>
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          <element elementId="39">
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              <elementText elementTextId="224218">
                <text>Peter, Rupa; Roshith, Veni; Lawrence, Sheethal; Mona, Arthi Efcibha; Narayanan, Kodhai B.; Yusaira, Fathima</text>
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                <text>Gen AI  Gen Z: understanding Gen Zs emotional responses and brand experiences with Gen AI-driven, hyper-personalized advertising</text>
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                <text>Frontiers in Communication;Volume;10;Issue;;Article No.;1554551;</text>
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                <text>&lt;a href="https://doi.org/10.3389/fcomm.2025.1554551" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3389/fcomm.2025.1554551&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105011510634?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105011510634?origin=resultslist&lt;/a&gt;</text>
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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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                <text>Peter R., St Joseph's University, Bengaluru, India; Roshith V., Bath Spa University, Bath, United Kingdom; Lawrence S., Christ University, Karnataka, Bengaluru, India; Mona A.E., Central University of Karnataka, Gulbarga, India; Narayanan K.B., St Joseph's University, Bengaluru, India; Yusaira F., Christ University, Karnataka, Bengaluru, India</text>
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                <text>Introduction: Gen Z, a tech-savvy consumer group, has highly evolved in its approach to new-age advertising. The rise of Generative Artificial Intelligence (Gen AI) has revolutionized advertising by enabling hyper-personalized content, making it essential to understand its influence on Generation Z (Gen Z) population. This study explores the responses of Gen Z participants in India to Generative Artificial Intelligence based, hyper-personalized advertisements, with a specific focus on emotional responses and brand interactions which are significant predictors of advertisement success. Methods: Using qualitative research methods, semi-structured interviews were conducted with 40 Gen Z participants. Thematic analysis of the data was performed to understand the major themes pertaining to emotional responses and brand interactions to this form of Gen AI-driven advertising. Results: Two major themes and five sub-themes were revealed through thematic analysis. The first theme, diverse emotional responses, encompassed two sub-themes, curiosity and interest as well as fear and suspicion. The second major theme, enhanced brand experience, encompassed three sub-themes of advanced targeted marketing; initial attraction and brand engagement; and brand connection and loyalty, as perceived by the participants. Discussion: Findings imply that brands can harness Gen AI-driven, hyper-personalized advertisements to evoke meaningful emotions, enhancing consumer loyalty and building stronger, more personal connections with their audience. Copyright  2025 Peter, Roshith, Lawrence, Mona, Narayanan and Yusaira.</text>
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                <text>Experimental observations and the GCMC (Grand Canonical Monte Carlo) simulations with fixed and mobile cations in their cavities have been used to study nitrogen and carbon dioxide sorption in divalent cation (Ca, Sr, and Ba) exchanged Zeolite X. Simulations of carbon dioxide and nitrogen adsorption isotherms and the heat of adsorption in divalent cation exchanged zeolite X produced results that were similar to those found in experimental results. Both experimental and simulated isotherms showed that carbon dioxide adsorption capacity is saturated at lower pressure with high adsorption capacity than the nitrogen isotherm in all zeolite samples. In the order of electronegativity of the extra-framework cations, the isosteric heat of sorption results show that carbon dioxide as well as nitrogen molecules interact more with divalent metal ion exchanged zeolites. Simulations of carbon dioxide and the nitrogen sorption in zeolite -X revealed that the mobile extra-framework cations in the cages of zeolite X had a significant advantage over zeolite molecular sieves in the separation process. The simulation with mobile cations can be a good tool for developing selective and purposeful zeolite-based adsorbents by knowing the cation position and its migration upon the adsorption of various gases.  2022</text>
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                <text>Materials Today: Proceedings, Vol-68, pp. 85-92.</text>
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                <text>Peters S., Department of Chemistry, School of Basic Sciences, SRM Institute of Science and Technology, Kattankulathur, 603 203, India; Pillai R.S., Department of Chemistry, Christ University, Bangalore, 560029, India; Jasra R.V., Reliance Technology Group, Reliance Industries Limited, Vadodara Manufacturing Division, Vadodara, 391 346, India</text>
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                <text>Molecular simulations to investigate the guest-induced flexibility of Pu-UiO-66 MOF</text>
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                <text>Actinide Metal-Organic Frameworks; Flexibility; GCMC simulation; MD simulation</text>
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                <text>Actinide metal-organic frameworks are highly popular because of their significant coordination benefits. Due to production and characterisation challenges, An-MOFs are a relatively less explored coordination polymer. In this study, we considered the experimentally synthesised Pu-UiO-66 MOF, which was the first reported plutonium MOF. In most MOF studies, the framework has been maintained rigid, however, in this case, we investigate both rigid and flexible frameworks. To gain a better understanding of the framework's flexibility, flexible Grand Canonical Monte Carlo (GCMC) simulations were conducted and the calculated results were compared with that of rigid frameworks. Molecular Dynamics (MD) simulations were carried out to examine the effects of framework flexibility of Pu-UiO-66 MOF, a force field-built Grand Canonical Monte Carlo (GCMC) on adsorption of guest molecules, and to analyse the self-diffusion coefficients of acidic gases such as CO2, SO2, and NO2 in the framework. The adsorption isotherms and radial distribution functions for both rigid and flexible frameworks in the presence of gas molecules were compared and analysed using GCMC simulation. Similarly, molecular dynamics simulations including guest molecules were carried out. Following that, the GCMC and MD results were compared and analysed to determine the flexibility of the system. Diffusion studies were conducted at various temperatures and the coefficient of self-diffusion of each gas was examined. In addition, structural analyses, such as angle analysis, were carried out to explore the local changes, such as tilting, observed in the organic ligand derivative. It was also shown that the UFF force field is suitable for Pu-UiO-66.  2022</text>
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                <text>Peters S.; Renjith Pillai S.; Varathan E.</text>
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                <text>Materials Today: Proceedings, Vol-68, pp. 35-42.</text>
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                <text>Peters S., Department of Chemistry, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Renjith Pillai S., Department of Chemistry, Christ University, Bangalore, 560029, India; Varathan E., Department of Chemistry, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India</text>
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              <elementText elementTextId="201784">
                <text>Petrov, Nikolay; Robinson, Oliver C.; Vleioras, Georgios; k, Figen; do?an, H. Kra; Yeler, Zehra; Berber, Kra; Millova, Katarina; Sajjad, Saba; Dutra-Thom Luciana; Rahayu, Maria Nugraheni Mardi; Rasyida, Afinnisa; Aprodita, Nindya Putri; Mishra, Shefali; Sharma, Payal; Srivastava, Akancha; Dermitzaki, Irini; Spyrou, Anastasia; Mante, Emmanouela; Laila, Ume</text>
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                <text>The Relationship Between Developmental Crisis and Meaning in Life in Emerging Adulthood: An Analysis of Data from Eight Countries</text>
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                <text>01-01-2026</text>
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            <elementTextContainer>
              <elementText elementTextId="201787">
                <text>Journal of Adult Development;</text>
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                <text>&lt;a href="https://doi.org/10.1007/s10804-026-09554-0" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10804-026-09554-0&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035706119?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035706119?origin=resultslist&lt;/a&gt;</text>
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                <text>Petrov N., University of Cambridge, Cambridge, United Kingdom; Robinson O.C., Regents University, London, United Kingdom; Vleioras G., University of Thessaly, Volos, Greece; k F., Ba?kent University, Ankara, Turkey; do?an H.K., Ba?kent University, Ankara, Turkey; Yeler Z., TED University, Ankara, Turkey; Berber K., Ankara University, Ankara, Turkey; Millova K., University of Ostrava, Ostrava, Czech Republic; Sajjad S., International institute of Science Arts and Technology, Gujranwala, Pakistan; Dutra-ThomL., Federal University of Bahia, Salvador, Brazil; Rahayu M.N.M., Satya Wacana Christian University, Salatiga, Indonesia; Rasyida A., University of Surabaya, Surabaya, Indonesia; Aprodita N.P., University of Bunda Mulia, Jakarta, Indonesia; Mishra S., Christ University, Delhi, India; Sharma P., Christ University, Delhi, India; Srivastava A., O. P. Jindal Global University, Son?pat, India; Dermitzaki I., University of Thessaly, Volos, Greece; Spyrou A., University of Thessaly, Volos, Greece; Mante E., University of Thessaly, Volos, Greece; Laila U., GIFT University, Gujranwala, Pakistan</text>
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                <text>Developmental crisis episodes are common during emerging adulthood. Evidence from existing research suggests that existential concerns about lifes meaning are prominent during crisis episodes in emerging adulthood, but little quantitative research exists on this topic. The current cross-cultural study investigated the relationships between components of developmental crisis (measured using the 3-factor Developmental Crisis Questionnaire), and meaning in life (measured using the Meaning in Life Questionnaire, which has two factors: search for and presence of meaning in life). The sample comprised 1967 emerging adults across eight countries (Brazil, Czechia, Greece, India, Indonesia, Pakistan, Turkey and the United Kingdom). Two components of developmental crisis  being in transition/turning point and feeling disconnected/distressed  were positively associated with a search for meaning in life. Feeling disconnected/distress and lacking clarity/control were negatively associated with a presence of meaning in life. The findings emphasize the need for organizations and services that focus on supporting young adults in crisis, and that these should provide help with the often-hidden existential sense that life may be lacking meaning, and the corresponding endeavour to search for meaning.  The Author(s) 2026.</text>
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                <text>Developmental crisis; Emerging adulthood; Meaning in life; Presence of meaning; Quarter-life crisis; Search for meaning</text>
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                <text>ISSN: 10680667;</text>
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              <elementText elementTextId="201796">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>Dynamics of Sustainable Economic Growth in Emerging Middle Power Economies: Does Institutional Quality Matter?</text>
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                <text>ARDL; Institutional variables; Macroeconomic variables; MIKTA; SDG; Second generation test</text>
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                <text>The present study investigates the relevance of Institutional structures quality as a determinant of the GDP of the Emerging Middle Power Economies (MIKTA) which constitute predominantly middle-income countries, namely Mexico, South Korea, Indonesia, Turkey, and Australia over the timeframe of 19852016. In addition to institutional variables such as Government Stability, Bureaucratic Quality and Socioeconomic Conditions, the study uses productive factors (per worker capital, human capital) and a macroeconomic indicator (inflation) to show the GDP of the above-mentioned countries. The impact that institutional variables taken have on Efficient Environmental resources, Sustainability and their management has shown to have an impact on the rate of growth of the middle-income economies. To estimate a long-run relation, the study employs the Autoregressive Distributed Lag model, also known as the ARDL model, bringing in controls for cointegration, nonstationary, heterogeneity and cross-sectional dependency and accounts for a mixed order of integration of variables. The model indicates that capital per worker, socio-economic conditions, bureaucratic quality, human capital and inflation have a long-run effect on the GDP of a country. The paper concludes with a positive impact of institutional variables during both, the short-run and the long-run, for the de-pendent variable.  The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.</text>
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                <text>Phadke M.; Raj J.; Rao S.; Bashir S.; Jos J.</text>
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                <text>Studies in Systems, Decision and Control, Vol-487, pp. 761-771.</text>
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                <text>ISSN: 21984182</text>
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                <text>Phadke M., CHRIST (Deemed to Be University), Bangalore, India; Raj J., CHRIST (Deemed to Be University), Bangalore, India; Rao S., CHRIST (Deemed to Be University), Bangalore, India; Bashir S., CHRIST (Deemed to Be University), Bangalore, India; Jos J., CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>Prediction of Rainfall Using Seasonal Auto Regressive Integrated Moving Average and Transductive Long Short-Term Model</text>
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                <text>Accuracy rate; Rainfall prediction; Seasonal Auto Regressive Integrated Moving Average; Time Series Analysis; Transductive Long Short-Term Model</text>
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                <text>One of the most crucial parts of the practical application in recent years has been the analysis of time series data for forecasting. Because of the extreme climate variations, it is now harder than ever to estimate rainfall accurately. It is possible to forecast rainfall using a number of time series models that uncover hidden patterns in past meteorological data. Choosing the right Time Series Analysis Models for predicting is a challenging task. This study suggests using a Seasonal Auto Regressive Integrated Moving Average (SARIMA) to forecast values that are similar to historical values that exhibit seasonal patterns. Twelve years of historical weather data for the city of Lahore (from 2005 to 2017) and Blora Regency are taken into account for the prediction. The dataset underwent pre-processing operations like cleaning and normalisation before to the classification procedure. For classification, Transductive Long Short-Term Model (TLSTM) is employed which has learned the dependency values where the memory blocks are recurring and capable of learning long-term dependencies on this model. Further, TLSTM's goal is to increase accuracy close to the test point, where test points are selected as a validation group. The performance of the models has been assessed based on accuracy (99%), precision (98%), recall (96%) and fl-score (98%). Proposed SARIMA model showed optimistic results when compared to existing models.  2023 IEEE.</text>
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                <text>Phadke R.; Mohamad Ramadan G.; Archana Reddy R.; Kumar Pani A.; Al-Jawahry H.M.</text>
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                <text>IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835031646-9</text>
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                <text>Phadke R., Nitte Meenakshi Institute of Technology, Department of Electronics and Communication Engineering, Bangalore, India; Mohamad Ramadan G., College of Mlt Ahl Al Bayt University, Karbala, Iraq; Archana Reddy R., School of Computer Science and Artificial Intelligence Sr University, Warangal, India; Kumar Pani A., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Al-Jawahry H.M., The Islamic University, Najaf, Iraq</text>
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                <text>Consequences of service quality linkage - an insight from an empirical investigation in higher education</text>
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                <text>Phadke S.K.</text>
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                <text>Indian Journal of Marketing, Vol-41, No. 8, pp. 11-19.</text>
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                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>ISSN: 9738703</text>
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                <text>Phadke S.K., Office of International Affairs, Christ University, Bangalore, Karnataka, 560029, India</text>
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