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                <text>A Comparative Performance Analysis of Convolution W/O OpenCL on a Standalone System</text>
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                <text>Convolution; float4; GPGPU; Mesh Segmentation; Vertex Buffer Objects</text>
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                <text>Initial approach of this paper is to provide a deep understanding of OpenCL architecture. Secondly, it proposes an implementation of a matrix and image convolution implemented in C (Serial Programming) and OpenCL (Parallel Programming), to describe detailed OpenCL programming flow and to provide a comparative performance analysis. The implementation is being carried on AMD A10 APU and various algebraic scenarios are created, to observe the performance improvement achieved on a single system when using Parallel Programming. In the related works authors have worked on AMDAPPSDK samples such as N-body &amp;amp; SimpleGL to understand the concept of vector data types in OpenCL and OpenCL-GL interoperability, have also implemented 3-D particle bouncing concept in OpenCL &amp;amp; 3D-Mesh rendering using OpenCL. Lastly, authors have also illuminated about their future work, where they intend to implement a novel algorithm for mesh segmentation using OpenCL, for which they have tried to form a strong knowledge base through this work.  2015 IEEE.</text>
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                <text>Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 378-383.</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/ICACCE.2015.108" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACCE.2015.108&lt;/a&gt;
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                <text>ISBN: 978-147991734-1</text>
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                <text>Keswani B., Computer Science Engineering Department, Christ University, Bangalore, India; Venugopalan J., Christ University, Bangalore, India</text>
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                <text>Videoconferencing-delivered psychological intervention for the treatment of COVID-19 related psychological distress in University students: study protocol for a randomised controlled trial in India</text>
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                <text>Controlled trial; COVID-19; Psychological distress; Psychosocial intervention</text>
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                <text>Background: The mental health impacts of the COVID-19 pandemic have been profound. This paper outlines the study protocol for a trial that tests the efficacy of a brief group-based psychological intervention (Coping with COVID; CWC), relative to Supportive Counselling, to reduce distress associated with COVID-19 in a young adult population in Bangalore, India. Methods: A single-blind, parallel, randomized controlled trial will be carried out via video conferencing in a small group format. Following informed consent, adults that screen positive for levels of psychological distress (Kessler 10 (K-10 score ? 20) and have access to a videoconferencing platform will be randomised to an adapted version of CWC (n = 90) or Supportive Counselling (SC) (n = 90). The primary outcome will be reduction in psychological distress including anxiety and depression at 2-months post treatment. Secondary outcomes include worry, positive wellbeing, and stress in relation to COVID-19. Discussion: This treatment trial will assess whether CWC will result in reduced distress relative to Supportive Counselling in a young adult population in Bangalore, India. This study will yield important insights into the role of nonspecific factors versus the interventions components in impacting COVID-19 related distress. Trial registration: This trial was prospectively registered on the Australian New Zealand Clinical Trials Registry (ACTRN12621001064897). Ethics and dissemination: Ethics approval has been obtained from the participating institution, CHRIST University in Bangalore. Results of the trial will be submittedfor publication in peer reviewed journals and findings presented at scientific conferences and to key service providers and policy makers.  2022, The Author(s).</text>
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                <text>Keyan D.; Dawson K.; Azevedo S.; Yadav S.; Choi-Christou J.; Maliakkal D.J.; Pillai M.K.; Thomas E.; George T.S.; Bryant R.A.</text>
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                <text>BMC Psychiatry, Vol-22, No. 1</text>
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                <text>&lt;a href="https://doi.org/10.1186/s12888-022-04471-4" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1186/s12888-022-04471-4&lt;/a&gt;
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                <text>ISSN: 1471244X; PubMed ID: 36539730; CODEN: BPMSC</text>
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                <text>Keyan D., University of New South Wales, Sydney, Australia; Dawson K., University of New South Wales, Sydney, Australia; Azevedo S., University of New South Wales, Sydney, Australia; Yadav S., University of New South Wales, Sydney, Australia; Choi-Christou J., University of New South Wales, Sydney, Australia; Maliakkal D.J., CHRIST (Deemed to be University), Bangalore, India; Pillai M.K., CHRIST (Deemed to be University), Bangalore, India; Thomas E., CHRIST (Deemed to be University), Bangalore, India; George T.S., CHRIST (Deemed to be University), Bangalore, India; Bryant R.A., University of New South Wales, Sydney, Australia</text>
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                <text>Keyan, Dharani; Dawson, Katie S.; Yadav, Srishti; Azevedo, Suzanna; Choi-Christou, Jasmine; Maliakkal, Deepthi J.; Pillai, Mohan K.; Chokani, Ritika; Thomas, Elizabeth; George, Tony S.; Bryant, Richard A.</text>
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                <text>Efficacy of a peer-delivered group psychological intervention to reduce psychological distress among university students in India: a randomised controlled trial using an active control condition; [Eficacia de una intervenci psicolica grupal realizada por pares para la reducci del malestar psicologico en estudiantes universitarios en India: ensayo clico aleatorizado empleando una condici de control activo]</text>
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                <text>European Journal of Psychotraumatology;Volume;16;Issue;1;Article No.;2503603;</text>
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                <text>Keyan D., University of New South Wales, Sydney, NSW, Australia; Dawson K.S., University of New South Wales, Sydney, NSW, Australia; Yadav S., University of New South Wales, Sydney, NSW, Australia; Azevedo S., University of New South Wales, Sydney, NSW, Australia; Choi-Christou J., University of New South Wales, Sydney, NSW, Australia; Maliakkal D.J., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Pillai M.K., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Chokani R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Thomas E., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; George T.S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bryant R.A., University of New South Wales, Sydney, NSW, Australia</text>
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                <text>Background: Brief psychological interventions in low-and-middle-income-countries (LMICs) have been typically tested against usual or enhanced usual care (EUC). This design precludes understanding of the role of non-specific factors in influencing outcomes. Objective: This study evaluated an adapted version of WHOs Problem Management Plus (gPM+), titled Coping with COVID, against an active control condition to reduce anxiety and depression during the COVID-19 pandemic. Methods: In this two-arm, single-blind, randomised controlled trial, young adults aged 1824 years who screened positive for COVID-19 related psychological distress in Bengaluru (India) were randomly allocated to either Coping with COVID (n = 91) or non-directive Supportive Counselling (SC; n = 92) groups. Coping with COVID was a 6-sesion, group-based programme that taught coping strategies for stress. SC was a 6-sesion, group-based programme that offered non-directive support. The primary outcomes were anxiety and depression as measured by the Hospital Anxiety and Depression Scales (HADS) assessed at baseline, post-intervention, 2-months (primary outcome timepoint), and 6-months after treatment. Secondary outcomes included generalised worry, positive wellbeing, pandemic-related stress, and suicidal ideation. Results: Between October 2021 and December 2022, 183 participants were enrolled into the trial. Relative to SC, Coping with COVID did not lead to significant reductions in anxiety (mean difference 0.24 [95% CI, ?1.01,1.48], p&amp;gt;.05), or depression (mean difference.03 [95% CI, ?1.19, 1.26], p&amp;gt;.05). Similarly, there were no significant differences between conditions for all secondary outcomes. Conclusions: The findings suggest that the benefits of strategies that comprise transdiagnostic scalable psychological interventions may not surpass non-specific factors in driving symptom reduction. Clinical implications: There is a need to further evaluate the role of non-specific factors in scalable psychological programmes because focusing on these may have implications for ease of training and implementation. Trial registration:Australian New Zealand Clinical Trials Registry identifier: ACTRN12621001064897.  2025 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>controlled trial; depression and anxiety; group support; non-specific factors; Scalable intervention; video teleconferencing</text>
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                <text>The memoirs titled In Order to Live; A North Korean Girl's Journey, to Freedom and; A Thousand Miles to Freedom: My Escape from North Korea are written by Yeonmi Park and Eunsun Kim two women who managed to escape from North Korea. They went through an experience of being forced into labour in China as victims of trafficking. In their memoirs these authors vividly depict the pain that comes with being exploited. The main aim of this study is to analyse how memoirs can effectively address the issue of trafficking. These remarkable women skilfully use the memoir genre to make a personal plea for action. They strategically make choices appeal to readers emotions openly share their distressing experiences and support their stories with research and evidence that connect their experiences with the broader problem of human trafficking in China. This study clearly shows that both these memoirs emphasize the importance of the memoir genre in advocating for rights. It also highlights how survivor memoirs have the potential to inspire advocacy and involvement, in combating trafficking.  2025 Sciedu Press. All rights reserved.</text>
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                <text>Consumer dissatisfaction and complaining behaviour have always been a topic of discussion in educational institutes and industries alike. Whereas dissatisfaction with product purchases and subsequent returns or associated consumer responses is very common, the same in the service sector has been quite different. In India, it is not only the patient who decides, which healthcare service to opt for, because Indians are culturally embedded in a system of collective consumption where other family members or relatives or friends also influence their decision-making. This paper is an exploratory study done to comprehend the chosen behavioural responses of dissatisfied inpatients in India through a questionnaire survey. The survey followed a retrospective recall technique in which the recall window was fixed at six months. The sampling technique followed was probability sampling. The data collection tool was structured and self-administered questionnaire administered in the sampled nine districts of Kerala. A good number of respondents attributed their overt complaining behaviour to lack of cordiality of doctors, nurses or the attending staff and lack of proper care and concern from doctors or nurses. Post complaining, service recovery was found to be satisfactory for most of the complainers.  2020, Kamala-Raj Enterprises. All rights reserved.</text>
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                <text>Studies on Ethno-Medicine, Vol-14, No. 45689, pp. 30-40.</text>
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                <text>Khadir F., School of Business Studies and Social Sciences, Christ University, Bengaluru, Karnataka, India; Swamynathan R., School of Business, Manipal Academy of Higher Education, Dubai International Academic City, Dubai, United Arab Emirates</text>
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                <text>The Role of Semiotics in Digital Marketing: Study on Consumer Interpretation and Brand Communication</text>
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                <text>Khaitan S., Christ University, Bengaluru, India; Singh K., Christ University, Bengaluru, India</text>
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                <text>This paper aims to examine the concept of semiotics with an emphasis on the manner in which consumers analyse brand messages through signifying practices. Being the science of meaning, semiotics in central to the formation of perception towards brand image and communication. Given the proliferation of digital communications in many different channels, it is vital for modern marketing to engage with semiotic features. Hence, the present research uses semi structured interviews as its data collection method to explore how consumers assign meaning to visuals and the symbols used to depict them as a means of gaining their attention and securing their attention and loyalty. Research results indicates semiotic assets including picture, iconography, and storyline boost brand familiarity/identity and consumer bond. Culture- sensitive signs enhances perception and ensure that messages passed do not create confusion. These observations present marketers with valuable information useful when developing cultural and interpretational strategies in the market.  2026, IGI Global Scientific Publishing.</text>
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                <text>Khakha A.Y., Christ University, Department of Computer Science, Delhi NCR, India; Poonia R.C., Christ University, Department of Computer Science, Delhi NCR, India</text>
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                <text>Tuberculosis is a critical global health issue, particularly in resource-limited regions where early and accurate diagnosis is important and is in need so that the treatment is effective and the control transmission is controlled. The known diagnostic methods, such as sputum smear microscopy and nucleic acid amplification tests are costly, time-consuming, and require trained professionals. Due this in some cases it is inaccessible in many regions. Deep learning-based automated TB detection offers a promising alternative by enhancing diagnostic efficiency through medical imaging analysis. This study presents a comparative evaluation of five deep learning models, InceptionResNetV2, DenseNet, VGG16, ANN, and a custom CNN, trained on a dataset of 3,008 chest radiograph images, evenly distributed between TB-positive and normal cases. The dataset underwent advanced preprocessing techniques, pixel normalization, and data augmentation. The hyperparameter tuning process was applied, which optimized the learning rates, dropout rates, convolutional filter sizes, and batch sizes to enhance model performance. The models were assessed using accuracy, precision, recall, F1-score, sensitivity, specificity.. Experimental results indicated that the custom CNN achieved the highest classification accuracy (99.51). The superior performance of the custom CNN over other models is attributed to optimized feature extraction, effective preprocessing, and structured hyperparameter tuning. A comparative analysis with previous studies highlights how this approach mitigates dataset limitations and improves model interpretability, and the potential of AI-driven TB detection, enhancing future diagnostic efficiency by improving model generalizability and deployment in real-world healthcare settings.   2025 IEEE.</text>
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                <text>chronic infectious disease; detection of tuberculosis (TB); Digital image processing techniques; Medical practice; Mycobacterium tuberculosis</text>
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                <text>2025 Control Instrumentation System Conference, CISCON 2025;</text>
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                <text>Khalandari M., REVA University, Department of Mathematics, Bengaluru, India; Saradha M., REVA University, Department of Mathematics, Bengaluru, India; Deepa B.G., Christ University, Department of Computer Science, Bengaluru, India; Chitty A., CSE-(AI&amp;amp;ML), CVR College of Engineering, Telangana, Ibrahimpatnam, India; Nisha B.A., St. Joseph's Institute of Technology, Department of Mathematics, Tamilnadu, Chennai, 600119, India</text>
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                <text>The relationship between macronutrient composition and energy content plays a crucial role in dietary planning and metabolic health. Regression analysis and Anova are used in this study to analyze the effects of macronutrients (fats, sugars, and proteins) and micronutrients (iron) on the calorie content of Indian breakfast items. This study develops a data driven explanation of the primary determinants of caloric density by examining a dataset that include nutritional characteristics and environmental impact components, such as carbon footprint. The study also looks at how changes in the combination of macronutrients impact the energy balance of the diet, providing information on how to select foods that are best for sustainability and health. Considering environmental factors into the analysis also emphasizes the necessity of sustainable food consumption habits. The results contribute in the development of individualized nutrition plans, supporting people in making wise food choices with the least possible negative environmental effects. This study provides the groundwork for further research in the food industry and public health by highlighting the importance of establishing a balance between sustainability objectives and nutritional sufficiency.  2025 IEEE.</text>
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                <text>Blowing Your Own Trumpet: How to Increase the Online Visibility of Your Publication?</text>
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                <text>After seeing ones manuscript in the print form in a journal, the author feels a sense of elation which is indescribable. However, if one really want peers and other researchers to take note of the work, some more effort is needed. With the massive increase in the number of biomedical journals in print  supplemented by another large chunk onlinequite a few published papers remain unread by majority of the readers. The availability of social sites, persistent identifiers, and manuscript-sharing sites has simplified the job of increasing the impact of an article. We herein share some of these tricks-of-the-trade.  2018, Indian Academy of Pediatrics.</text>
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                <text>Khalil S.; Mishra D.; Upadhyay D.</text>
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                <text>Indian Pediatrics, Vol-55, No. 1, pp. 49-54.</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 196061; PubMed ID: 29396935; CODEN: INPDA</text>
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                <text>Khalil S., Department of Pediatrics, Vardhman Mahavir Medical College, Delhi, India; Mishra D., Department of Pediatrics, Maulana Azad Medical College, Delhi, 110002, India; Upadhyay D., Department of Commerce, Christ University, Bengaluru, Karnataka, India</text>
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                <text>An internet of health things-driven deep learning framework for detection and classification of skin cancer using transfer learning</text>
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                <text>As specified by World Health Organization, the occurrence of skin cancer has been growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and 132 000 melanoma skin cancers arise worldwide annually. The detection and classification of skin cancer in early stage of development allow patients to have proper diagnosis and treatment. The goal of this article is to present a novel deep learning internet of health and things (IoHT) driven framework for skin lesion classification in skin images using the concept of transfer learning. In proposed framework, automatic features are extracted from images using different pretrained architectures like VGG19, Inception V3, ResNet50, and SqueezeNet, which are fed into fully connected layer of convolutional neural network for classification of skin benign and malignant cells using dense and max pooling operation. In addition, the proposed system is fully integrated with an IoHT framework and can be used remotely to assist medical specialists in the diagnosis and treatment of skin cancer. It has been observed that performance metric evaluation of proposed framework outperformed other pretrained architectures in term of precision, recall, and accuracy in detection and classification of skin cancer from skin lesion images.  2020 John Wiley &amp;amp; Sons, Ltd.</text>
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                <text>This paper is concerned with assessing different neural network based predictive models. Each of these predictive models has one goal and that is to predict the price of a cryptocurrency, Bitcoin is the cryptocurrency taken into consideration. The models will be focusing on predicting the USD equivalent value of bitcoin using historical data and live data. The neural network models being assessed are a Convolutional Neural Network, and two variations of the Recurrent Neural Network that are Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). The goal is to observe the validation loss of each model and also the time it takes to train or epoch for each training set which basically just determine its efficiency and performance. The results that are achieved are almost what was expected as LSTM outperforms CNN but the when we take a look at GRU, it is at par with LSTM. However, CNN is quicker at training or creating epochs and the validation loss is acceptable and not too high but it looks so when it is compared with the Recurrent Neural Networks such as Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU).  BEIESP.</text>
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                <text>Khan A.S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Augustine P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India</text>
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                <text>These days, many CS experts focus their efforts on IoT. IoT is an emerging &amp;amp; cutting-edge technology that enables many items, including vehicles and home appliances, to connect and cooperate via mechanisms like machine to machine communication, big data, and AI. It has found use in a wide range of settings, from smart homes and cities, to healthcare and agriculture, to factory automation. Smart cities are becoming smarter, cars are getting more features, and health and fitness devices are getting more sophisticated thanks to the internet of things. Many problems that are directly relevant to the IoT's development have yet to be resolved. The exponential development of IoT has given birth to new problems, including concerns about personal data and security. There is need of a comprehensive approach that tackles the scalability, security, efficiency, and privacy concerns raised by the widespread deployment of IoT.  2023, IGI Global.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151810809&amp;amp;doi=10.4018%2F978-1-6684-6408-3.ch013&amp;amp;partnerID=40&amp;amp;md5=e305aeb9ef00ee661806254c57b722bd" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151810809&amp;amp;doi=10.4018%2f978-1-6684-6408-3.ch013&amp;amp;partnerID=40&amp;amp;md5=e305aeb9ef00ee661806254c57b722bd&lt;/a&gt;</text>
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                <text>Khan H., Rungta College of Engineering and Technology, Bhilai, India; Veeraiah V., Adichunchanagiri University, Mandya, India; Jain V., Teerthanker Mahaveer University, Moradabad, India; Rajkumar A., Teerthanker Mahaveer University, Moradabad, India; Ganesh Kumar R., School of Engineering and Technology, CHRIST University (Deemed), Kengeri, India; Gupta A., Vaish College of Engineering, Rohtak, India; Pandey D., Department of Technical Education, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India</text>
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                <text>Dielectric properties; Energy gap; Graphene oxide; Soot</text>
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                <text>Graphene oxide was synthesized from kerosene soot, by adapting three different treatments. The properties of each sample were studied using X-ray diffraction, UV-visible spectroscopy, FTIR and impedance measurements. The XRD results showed that the structural parameters (layer spacing, number of layers) were in agreement with expected values, indicating the reliability of kerosene soot as a precursor for graphene. The grain size was found to be small (1 to 2 nm) confirming the nanostructure of kerosene soot. The UV-visible spectra revealed high band gap even while conductivity was appreciably high. Other characteristic measurements showed frequency-independent conductivity, low resistance and low capacitance. FTIR spectra of all the treated samples and the precursor show the differences brought about in functionalization, due to the different methods of treatment. These differences, however, does not appreciably affect parameters such as band gap, conductivity and dielectric loss in any drastic way.  2018 Chemical Publishing Co. All Rights Reserved.</text>
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                <text>&lt;a href="https://doi.org/10.14233/ajchem.2018.21080" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14233/ajchem.2018.21080&lt;/a&gt;
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                <text>All Open Access; Bronze Open Access</text>
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                <text>Khan M., Department of Physics and Electronics, Christ University, Bengaluru, 560 029, India; Jayachandran P., Department of Physics and Electronics, Christ University, Bengaluru, 560 029, India; Manoj B., Department of Physics and Electronics, Christ University, Bengaluru, 560 029, India</text>
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                <text>Khan M.A., Department of Business Administration, Barani Institute of Sciences, Pakistan; Di Virgilio F., Department of Economics, University of Molise, Italy; Baber R., School of Business and Management, Christ University, Bengaluru, Karnataka, India</text>
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                <text>Isothermal autocatalysis of homogeneousheterogeneous chemical reaction in the nanofluid flowing in a diverging channel in the presence of bioconvection</text>
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                <text>differential transformation method; diverging channel; Gyrotactic microorganisms; heterogeneous reactions; homogeneous reactions; quartic autocatalysis</text>
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                <text>The nonlinear differential equations play a prominent role in the mathematical description of many phenomena that occur in our world. A similar set of equations appear in this paper that govern the homogeneous and heterogeneous chemical reactions in the nanofluid flowing between two non-parallel walls. Since the concentration of the homogeneous species is substantially high, quartic autocatalysis is considered for the analysis. It is found to be more effective than the cubic autocatalysis. Further, to avoid the deposition of nanoparticles on the surface, self-propelled microorganisms called gyrotactic microorganisms are allowed to swim in the nanofluid. This movement of microorganisms constitutes a major phenomenon called bioconvection. The set of governing equations thus formed are made dimensionless and the resulting system of equations are solved by Differential Transformation Method (DTM) with the help of Padapproximant that reduces the power series into rational function. This transformation helps in achieving a better convergence rate. The fluid flow analysis is interpreted through graphs and tables where it is observed that the heat source enhances the temperature of the nanofluid. Further, the homogeneous and heterogeneous chemical reaction parameters have significant impacts on the concentration of the reactants. Also, the outcomes indicated that the reaction profiles and motile density profiles increase with the increase in Schmidt number.  2021 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Khan M.I.; Puneeth V.</text>
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                <text>Waves in Random and Complex Media, Vol-34, No. 6, pp. 5438-5458.</text>
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                <text>&lt;a href="https://doi.org/10.1080/17455030.2021.2008547" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/17455030.2021.2008547&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121344231&amp;amp;doi=10.1080%2F17455030.2021.2008547&amp;amp;partnerID=40&amp;amp;md5=96f4c62757722d569fff0e6e3af9836a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121344231&amp;amp;doi=10.1080%2f17455030.2021.2008547&amp;amp;partnerID=40&amp;amp;md5=96f4c62757722d569fff0e6e3af9836a&lt;/a&gt;</text>
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                <text>ISSN: 17455030</text>
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                <text>Khan M.I., Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing, China, Department of Mathematics and Statistics, Ripah International University, Islamabad, I-14, Pakistan; Puneeth V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Numerical simulation of unsteady MHD bio-convective flow of viscous nanofluid through a stretching surface</text>
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                <text>Aligned MHD; Gyrotactic microorganisms; Heat source; Nanofluid; Stretched surface; Thermal radiation</text>
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                <text>The current flow model is prepared to explore the characteristics of heat and mass transfer through a time-dependent bio-convection slip flow of viscous nanofluid moving over a porous radiative stretched surface model. The outset of bio-thermal convection in a suspension comprising gyrotactic microorganisms and nanoparticles is considered along with radiation and velocity slip. The presence of these nanoparticles and their motion within the nanofluid gives rise to thermophoresis as well as the Brownian motion phenomena and the consideration of these aspects in the model gives realistic results. Moreover, the present model includes the collective influence of the aligned magnetic field, heat source, and mass suction on the boundary. The similarity analysis has been carried out to transform the basic model equations into nonlinear dimensionless ordinary differential equations (ODEs) which are solved numerically using the bvp4c technique in MATLAB. Some reasonable values have been assigned to the flow parameters based on the above different conditions which provide various graphical results. Certain finding states that velocity and temperature respectively decrease and increase as the aligned magnetic field angle is scaled up, whereas the nano particles concentration strengthens with the amplifying values of convection diffusion and thermophoresis parameter and slumps with the rising values of Brownian motion parameter and Schmidt number respectively. Moreover, the concentration of microorganism and nano particles diminishes with the rising values of Schmidt number, as well as the improvement of convection diffusion parameter and Schmidt number magnifies the Sherwood number. The local density of motile microorganisms reduces with the improvement of stretching parameter and bio-convection Schmidt respectively. The obtained results have been validated by comparing them with the published literature.  2023 The Authors</text>
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                <text>Khan M.R.; Puneeth V.; Alaoui M.K.; Almagrabi A.O.</text>
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                <text>Case Studies in Thermal Engineering, Vol-53</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.csite.2023.103830" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.csite.2023.103830&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178564747&amp;amp;doi=10.1016%2Fj.csite.2023.103830&amp;amp;partnerID=40&amp;amp;md5=0bf197f48c7bc3686c6b79080053ceac" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178564747&amp;amp;doi=10.1016%2fj.csite.2023.103830&amp;amp;partnerID=40&amp;amp;md5=0bf197f48c7bc3686c6b79080053ceac&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Khan M.R., Department of Mathematics, Quaid-i-Azam University, 45320, Islamabad, 44000, Pakistan; Puneeth V., Department of Mathematics, CHRIST University, Bengaluru, 560029, India; Alaoui M.K., Department of Mathematics, College of Science, King Khalid University, P.O. Box 9004, Abha, 61413, Saudi Arabia; Almagrabi A.O., Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia</text>
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                <text>Heat transfer in a dissipative nanofluid passing by a convective stretching/shrinking cylinder near the stagnation point</text>
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                <text>This contemporary article examines the transfer of heat properties and the flow behavior of water-based nanofluid suspended with silver nanoparticles. These silver nanoparticles have a very huge thermal conductivity and hence it is presumed that the resulting nanofluid shall have enhanced thermal conductance. This article is more focused on the study of (Formula presented.) nanofluid flowing past a cylinder that is modeled mathematically using the cylindrical coordinate system. The initial modeling is designed using a system of partial derivatives while at a later stage, this system is transformed into a nonlinear group of ordinary differential equations (ODEs). The equations in this system are solved to obtain the dual solutions by implementing the RKF-45 method which has a greater rate of convergence and additionally, it is computationally very effective. The findings of the study are dealt by plotting graphs and the discussions are based on the appearance of graphs. It is further noticed that the critical point (Formula presented.) remains constant at (Formula presented.) for any changes made in the values of heat generation/absorption coefficient. Similarly, the critical value remains constant at (Formula presented.) for any change made in the values of the Eckert number. Meanwhile, it is also observed that the increase in the Eckert number increases the temperature absorbed by the nanofluid whereas it decreases the Nusselt number. Furthermore, the higher values of the velocity slip reduce the skin friction coefficient.  2023 Wiley-VCH GmbH.</text>
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                <text>Khan M.R.; Puneeth V.; Alaoui M.K.; Alroobaea R.; Abdou M.M.M.</text>
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                <text>Khan M.R., Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan; Puneeth V., School of Sciences, CHRIST University, Delhi NCR, Ghaziabad, India; Alaoui M.K., Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia; Alroobaea R., Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia; Abdou M.M.M., Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia, Department of Mathematics, Faculty of Science, Aswan University, Aswan, Egypt</text>
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                <text>The primary goal of this article is to explore the radiative stagnation point flow of nanofluid with cross-diffusion and entropy generation across a permeable curved surface. Moreover, the activation energy, Joule heating, slip condition, and viscous dissipation effects have been considered in order to achieve realistic results. The governing equations associated with the modeling of this research have been transformed into ordinary differential equations by utilizing appropriate transformation variable. The resulting system of equations was solved numerically by using Bvp4c built-in package in MATLAB. The impact of involved parameters have been graphically examined for the diverse features of velocity, temperature, and concentration profiles. Throughout the analysis, the volume fraction is assumed to be less than 5 % while the Prandtl number is set to be 6. In addition, the entropy generation, friction drag, Nusselt, and Sherwood numbers have been plotted for describing the diverse physical aspects of the underlying phenomena. The major outcomes reveal that the curvature parameter reduces the velocity profile and skin friction coefficient whereas the magnetic parameter, temperature difference parameter, and radiation parameter intensify the entropy generation.  2023, The Author(s).</text>
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                <text>Khan M.R.; Puneeth V.; Alqahtani A.M.; Alhazmi S.E.; Beinane S.A.O.; Shutaywi M.; Eldin S.M.; Alsenani T.R.</text>
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                <text>Scientific Reports, Vol-13, No. 1</text>
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                <text>Khan M.R., Department of Mathematics, Quaid-i-Azam University, 45320, Islamabad, 44000, Pakistan; Puneeth V., Department of Computational Sciences, CHRIST University, Bengaluru, 560029, India; Alqahtani A.M., Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia; Alhazmi S.E., Mathematics Department, Al-Qunfudah University College, Umm Al-Qura University, Mecca, Saudi Arabia; Beinane S.A.O., Mathematics Department, College of Science, Jouf University, P. O. Box 2014, Sakaka, Saudi Arabia; Shutaywi M., Department of Mathematics College of Science and Arts, King Abdulaziz University, P. O. Box 344, Rabigh, 21911, Saudi Arabia; Eldin S.M., Faculty of Engineering, Center of Research, Future University in Egypt, New Cairo, 11835, Egypt; Alsenani T.R., Department of Electrical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia</text>
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                <text>Cryptograph; elliptic curve cryptography; public key cryptography; RSA; security</text>
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                <text>In todays digital world, the Internet is an essential component of communication networks. It provides a platform for quickly exchanging information among communicating parties. There is a risk of unauthorized persons gaining access to our sensitive information while it is being transmitted. Cryptography is one of the most effective and efficient strategies for protecting our data and it are utilized all around the world. The efficiency of a cryptography algorithm is determined by a number of parameters, one of which is the length of the key. For cryptography, key (public/private) is an essential part. To provide robust security, RSA takes larger key size. If we use larger key size, the processing performance will be slowed. As a result, processing speed will decrease and memory consumption will increase. Due to this, cryptographic algorithms with smaller key size and higher security are becoming more popular. Out of the cryptographic algorithms, Elliptic Curve Cryptography (ECC) provides equivalent level of safety which RSA provides, but it takes smaller key size. On the basis of key size, our work focused on, studied, and compared the efficacy in terms of security among the well-known public key cryptography algorithms, namely ECC (Elliptic Curve Cryptography) and RSA (Rivets Shamir Adelman).  2023 River Publishers.</text>
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                <text>Journal of ICT Standardization, Vol-11, No. 4, pp. 355-378.</text>
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                <text>Khan M.R., Department of Computer &amp;amp; Network Engineering, CS &amp;amp; IT College, Jazan University, 45142, Saudi Arabia; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Alam M.I., Department of Computer &amp;amp; Network Engineering, CS &amp;amp; IT College, Jazan University, 45142, Saudi Arabia; Khan H., Department of Computer &amp;amp; Network Engineering, CS &amp;amp; IT College, Jazan University, 45142, Saudi Arabia; Siddiqui S.T., Department of Computer Science, CS &amp;amp; IT College, Jazan University, 45142, Saudi Arabia; Haque M., Dr. D.Y. Patil Vidyapeeths Centre for Online Learning, Dr. D.Y. Patil Vidyapeeth, Pune (Deemed to be University, India; Parashar J., Dept. of Computer Science &amp;amp; Engineering, Dr. Akhilesh Das Gupta Institute of Technology &amp;amp; Management, GGSIPU, New Delhi, India</text>
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