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                <text>Novel super stack passivation in AlGaN/GaN HEMT for power electronic applications</text>
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                <text>AlGaN/GaN interface; current collapse; Johnson figure of merit; surface passivation</text>
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                <text>A super-stack passivation technique is proposed for an AlGaN/GaN HEMT in order to improve the breakdown voltage and cutoff frequency. The performance of the proposed technique is benchmarked against a conventional GaN HEMT. The analysis and investigation are carried out using Technology Computer-Aided Design (TCAD). The simulation results are validated with experimental data. It is observed that the breakdown voltage of the conventional and proposed devices is 356V and 449V, respectively. In contrast to the conventional device, the breakdown voltage of the proposed device is improved by 21%. This is the manifestation of the suppression of the electric field by the super-stack passivation technique in the proposed device. Furthermore, it is also observed that the Johnsons figure of merit in the proposed GaN-HEMT is also improved.  2024 The Author(s). Published by IOP Publishing Ltd.</text>
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                <text>Arunraja A.; Suresh K.; Senthilnathan S.</text>
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                <text>Materials Research Express, Vol-11, No. 11</text>
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                <text>Institute of Physics</text>
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                <text>Arunraja A., Department of ECE, Christ University, Kanminike Kumbalgodu Kengeri, Karnataka, Bangalore, 560029, India; Suresh K., Department of EEE, Christ University, Kanminike Kumbalgodu Kengeri, Karnataka, Bangalore, 560029, India; Senthilnathan S., Department of ECE, Christ University, Kanminike Kumbalgodu Kengeri, Karnataka, Bangalore, 560029, India</text>
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                <text>An Analytical Review on Data Privacy and Anonymity in 'Internet of Things (IoT) Enabled Services'</text>
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                <text>challenges; data complexity; integration; IoT; IoT applications; scalability</text>
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                <text>Nowadays, the Internet of Things (IoT) is an emerging technology, spreading all over the world so the number of devices is increasing day by day. So, the volume and data complexity has increased drastically in the past three years. The resultant system might contain a significant number of heterogeneous devices, posing integration and scalability issues that must be addressed. In such a situation, security and privacy are commonly regarded as a significant concern. On the other hand, user privacy, defined as the capacity to provide data protection and anonymity, must be protected, which is especially important when personal and/or sensitive information is involved. This paper presents the comprehensive survey, characteristics, and application of IoT and the immense number of challenges raced and faced during the implementation of IoT frameworks.   2021 IEEE.</text>
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                <text>Arya A.; Jha S.</text>
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                <text>Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 1432-1438.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-166543811-7</text>
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                <text>Arya A., Chandigarh University, Computer Science and Engineering, Mohali, India; Jha S., Christ University, Computer Science and Engineering, Delhi NCR, India</text>
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                <text>Arya V.; Arora N.; Sharma P.; Yadav R.</text>
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                <text>World Review of Science, Technology and Sustainable Development, Vol-17, No. 4, pp. 295-297.</text>
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                <text>Arya V., Rabat Business School, International University of Rabat, Campus de IUIR, Parc Technopolis, Recade de Rabat-Sale, Sale al Jadida, Rabat, 11100, Morocco; Arora N., University School of Business, Chandigarh University, NH-95, Ludhiana-Chandigarh Highway, Punjab, Mohali, 140413, India; Sharma P., DIT University, Mussoorie, Diversion Road, Makka Wala, Uttarakhand, Dehradun, 248009, India; Yadav R., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Cross Correlation Between Plasmaspheric Hiss Waves and Enhanced Radiation Levels at Aviation Altitudes</text>
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                <text>aviation altitudes; dose rates; enhanced radiation; plasmaspheric hiss waves; space hazards; Van Allen radiation belt</text>
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                <text>Enhanced radiation in the Earth's atmosphere can pose serious hazards to pilots, aircraft passengers, and commercial space travelers. Recent results have shown, statistically, that there is a strong correlation between dose rates observed by Automated Radiation Measurements for Aerospace Safety (ARMAS) instruments at aviation altitudes (&amp;gt;9km) and plasmaspheric hiss wave power measured by NASA's Van Allen Probes within the inner magnetosphere. Plasmaspheric hiss waves play a very important role in removing energetic electrons from the Earth's radiation belts by precipitating them into the upper atmosphere. These relativistic electrons generally drift eastwards along closed magnetic drift shells. In this study, we use magnetic conjunction events between ARMAS and the Van Allen Probes to analyze the causality between plasmaspheric hiss waves and enhanced radiation observed at aviation altitude. We specifically study how the size of the conjunction window and a shift in L and MLT of the conjunction window affect the correlation between dose rates and plasmaspheric hiss wave power. This is to determine if the observed enhanced radiation at aviation altitude is indeed caused by the plasmaspheric hiss waves in the inner magnetosphere. The results show that the enhanced radiation levels are only correlated with plasmaspheric hiss waves within conjunction windows of ?1 (Formula presented.) L (Formula presented.) 1 and 0 (Formula presented.) MLT (Formula presented.) 2. The correlation between dose rate and hiss wave power increases slightly if ARMAS is shifted approximately 1hr in MLT to the east of the Van Allen Probes, consistent with the drift trajectory of the electrons precipitating into the atmosphere.  2025. The Author(s).</text>
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                <text>Aryan H.; Bortnik J.; Tobiska W.K.; Mehta P.; Siddalingappa R.; Hogan B.</text>
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                <text>Asgharivaskasi R., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Mashayekhi V., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Nameni A., Shahrood University of Technology, Faculty of Mechanical Engineering, Shahrood, Iran; Azadi-Tinat N., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Kumar N., Christ University, Department of Electronics and Communication Engineering, Bengaluru, India; Koohestani M., ole Supieure d'ectronique de l'Ouest, Department of Electrical and Electronic Engineering, Angers, France</text>
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                <text>Asha M.S., Department of Computer Science and Engineering, Christ University (Deemed to be University), Karnataka, India; Yogish H.K., Department of Information Science and Engineering, M S Ramaiah Institute of Technology, Karnataka, India, Visvesvaraya Technological University, Belagavi, 590018, India</text>
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                <text>ASHILIN MARY  MATHEW</text>
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                <text>Parents play a major role while caring for a child with Cerebral Palsy (CP). Each child with CP and their caregivers needs constant professional support in terms of medical care, psycho-education, guidance and support in order to achieve maximum functioning. Mothers of children with cerebral palsy are vulnerable because the caregiving may affect their personal and marital life, work, finances, relationships, and other responsibilities. Therefore, it is important to understand their experiences this study explores caregiving experiences and needs of mothers of a child with cerebral palsy. This qualitative exploratory study used semi-structured open-ended interviews for data collection from 25 mothers of children with Cerebral Palsy who attended regular clinical assessments at Unit of Hope OP clinic. The data were analyzed in Atlas. ti 8 trial version using thematic analysis.

Six major themes emerged from the thematic analysis which includes: pathways of care, challenges in taking care of the child, impact (subjective and objective) on mothers and their family, coping mechanism and psycho-social needs. Mothers expressed that they experience unpreparedness; unsupportive interaction; insecurity/uncomfortable on caregiving by others; challenges in decision making, finding the right care, meeting individual family member???s needs; they had inappropriate expectations of improvement, difficulties in treatment adherence and lack of knowledge, lack of respite, lack of support from family members/relatives, changes in the family system, changes in personal life. Mothers had caregiver burden and emotional challenges. The mothers adopted both maladaptive and adaptive coping strategies. In this study, mothers expressed various needs like the need for professional support, the need for respite care, and the need for family support.

In conclusion, having a child with cerebral palsy negatively affect the mothers. During the caregiving process, they have some unmet needs which need to be addressed. The findings of the study emphasize that it is important to understand the caregiving experiences and needs of mothers of children with cerebral palsy to plan interventions to support these mothers in caring for their child.</text>
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                <text>With cyberbullying surging across social media, this study investigates the effectiveness of four prominent deep learning models - CNN, Bi-LSTM, GRU, and LSTM - in identifying cyberbullying within Twitter texts. Driven by the urgent need for robust tools, this research aims to enrich the field of cyberbullying detection by thoroughly evaluating these models' capabilities. A dataset of Twitter texts served as the training ground, rigorously preprocessed to ensure optimal model compatibility. Each model, CNN, Bi-LSTM, GRU, and LSTM, underwent independent training and evaluation, revealing distinct performance levels: CNN achieved the highest accuracy at 83.10%, followed by Bi-LSTM (81.90%), GRU (81.73%), and LSTM (16.07%). These differences highlight the unique strengths of each architecture in analysing and representing text data. The findings highlight the CNN model's superior performance, indicating its potential as a highly effective tool for Twitter-based cyberbullying detection. While the deep learning models explored here offer promising avenues for detecting cyberbullying on Twitter, their performance highlights the complexities inherent in this task. The limited space of tweets can often obscure the true intent behind words, making accurate identification a nuanced challenge. Despite this, the CNN model's robust performance suggests that carefully chosen architectures hold significant potential for combating online harassment. This research paves the way for further explorations in harnessing the power of AI to create a safer and more civil online experience where respectful communication can flourish even within the constraints of concision.   2024 IEEE.</text>
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                <text>Ashish Joseph V.A.; Prathap B.R.; Kumar K.P.</text>
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                <text>The legislative validation of the concepts of product liability and unfair contractual terms through the Consumer Protection Bill (CPB) paves the way for attuning Indian consumer laws with the global wavelength. Though the Indian judiciary has dealt with issues concerning product liability and unfair contractual terms, legal certainty has remained elusive, necessitating predictability. The extension of consumer protection to the domain of e-commerce further reformulates the existing notion of liability and the prevalent impunity. This paper analyses the manner in which the CPB redefines the notions of liability and the existent lacunae that need to be remedied.  The Author 2017. Published by Oxford University Press. All rights reserved.</text>
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                <text>Ashiya B., School of Law, Christ University, Bangalore, Karnataka, India</text>
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