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                <text>Effect of post annealing on DC magnetron sputtered tungsten oxide (WO3) thin films for smartwindow applications</text>
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                <text>Annealing temperature; Coloration efficiency; Diffusion coefficient; Room temperature (RT); Sputtering; Tungsten oxide (WO&lt;sub&gt;3&lt;/sub&gt;)</text>
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                <text>Tungsten oxide (WO3) thin films were deposited on Fluorine Doped Tin Oxide (FTO) and Corning Glass (CG) glass substrate by DC magnetron sputtering. The annealing temperature was varied to study its effect on surface morphology, structural, electrochromic (EC), and optical properties and these are investigated by Scanning Electron Microscope (SEM), X-ray Diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, Cyclic voltammetry, and ultraviolet (UV) spectroscopy. From SEM analysis WO3 thin films annealed at 27 C, 100 C, 200 C, and 300 C were shown to crack free after that cracked film was observed for 400 C. From the XRD investigation that the WO3 thin films annealed at 27 C, 100 C, 200 C, and 300 C were amorphous and crystallized at 400 C. The optical band gap (Eg) of WO3 films was decreased from 2.98 eV to 2.30 eV with an increase in annealed temperature. The coloration efficiency (CE) was observed at 51.26 cm2/C at 300 C and 35.06 cm2/C at 400 C and the lowest diffusion coefficient was observed at 5.86 10?10 cm2/s at 400 C. On coloring efficiency, which can be very important in electrochromic (EC) applications, post-annealing has been seen to have a strong influence.  2023 Elsevier B.V.</text>
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                <text>Reddy G V A.; Naveen Kumar K.; Sattar S.A.; Shetty H.D.; Guru Prakash N.; Imran Jafri R.; Devaraja C.; B C M.; C S K.; Premkumar R.; Ansar S.</text>
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                <text>Physica B: Condensed Matter, Vol-664</text>
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                <text>Elsevier B.V.</text>
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                <text>2023-01-01</text>
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                <text>ISSN: 9214526; CODEN: PHYBE</text>
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                <text>Reddy G V A., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Karnataka, Bengaluru, 560064, India; Naveen Kumar K., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Karnataka, Bengaluru, 560064, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Sattar S.A., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Karnataka, Bengaluru, 560064, India; Shetty H.D., Department of Physics, Nitte Meenakshi Institute of Technology, Yelahanka, Karnataka, Bengaluru, 560064, India; Guru Prakash N., School of Mechanical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsangbuk-do, Gyoungsan-si, 38541, South Korea; Imran Jafri R., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Devaraja C., Department of Physics Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; B C M., Department of Physics, SJC Institute of Technology, Karnataka, Chickballapur, 562101, India; C S K., Department of Physics, BMS College of Engineering, Karnataka, Bengaluru, 560019, India; Premkumar R., Department of Physics, N.M.S.S.V.N. College, Nagamalai, Tamil Nadu, Madurai, 625019, India; Ansar S., Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433, Saudi Arabia</text>
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                <text>Deep Learning Based Age Estimation Model</text>
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                <text>Accuracy; convolutional neural network (CNN); Data Augmentation; Machine learning algorithm; Mean absolute error; Preprocessing; RELU</text>
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                <text>To improve accuracy and resilience in demographic categorization, this research presents a novel use of Convolutional Neural Networks (CNNs) for age prediction. Deep learning is utilized to achieve this goal. Precise estimation of age has become essential in a variety of areas, including human-computer interaction, marketing, and healthcare. The ability of CNNs to handle the intricacies of facial features for accurate demographic forecasts is examined in this study. The research covers every step of the age prediction process, including dataset collection, prepossessing, model architecture, and assessment measures. The CNN is trained to automatically extract hierarchical characteristics from facial photos, which enables the model to recognize complex patterns related to age. The architecture's flexibility to different lighting conditions, facial expressions, and postures. In this research, we deal with deep learning-based perceived age estimation in still-face pictures. Our Convolution Neural Network models (CNNs) have been trained prior on Image Net for picture classification, as they use the VGG architecture. In addition, we analyze the effects of tailoring over Web photos having known age, considering a lack of apparent age-annotated annotated images. In addition, this work adds to the increasing library of studies on the use of deep learning methods for demographic data evaluation by showing the effectiveness of CNNs to predict age. The results show how, in practical situations, CNNs could significantly enhance the precision and dependability of age prediction systems.   2024 IEEE.</text>
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                <text>Reddy G.J.; Bendili S.; Vinodha D.; Jenefa J.; Sambandam R.K.; Vetriveeran D.</text>
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                <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>2024-01-01</text>
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                <text>ISBN: 979-835038427-7</text>
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                <text>Reddy G.J., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Bendili S., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Vinodha D., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Jenefa J., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Sambandam R.K., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Vetriveeran D., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India</text>
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                <text>Securing the Digital Realm: Unmasking Fraud in Online Transactions Using Supervised Machine Learning Techniques</text>
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                <text>Classification; Credit cards; Cyber security; Edited nearest neighbor; Fraud detection; Imbalanced datasets; Machine learning; Online transactions; SMOTE</text>
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                <text>A key component of contemporary banking systems and e-commerce platforms is identifying fraud in online transactions. Traditional rule-based techniques are insufficient for preventing sophisticated fraud schemes because of the increasing complexity and number of expanding online transactions. This research study examines the development of fraud detection methods, emphasizing data analytics and machine learning (ML) models. The study also focuses on the fact that developing efficient fraud detection systems requires continuous observation, data preprocessing, feature selection, and testing of models. Seven ML models, Logistic Regression (LR), Decision Trees (DT), k-Nearest Neighbors (kNN), Nae Bayes (NB), Support Vector Machine (SVM), Random Forests (RF), and Extreme Gradient Boosting (XGBoost) are considered for classifying the dataset into fraudulent or not. During the experimentation study, it was observed that XGBoost yielded the highest accuracy of 99% when compared to other models. Users can determine which features significantly influence the model's predictions by using XGBoost's feature significance insights. Additionally, XGBoost provides integrated support for managing missing values in data, negating the requirement for imputation and other preprocessing procedures. Due to these, it performed better.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Reddy G.Y.; Kokatnoor S.A.; Kumar S.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 477-489.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-97-7423-4_37" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-7423-4_37&lt;/a&gt;
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                <text>ISSN: 23673370; ISBN: 978-981977422-7</text>
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                <text>Reddy G.Y., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India</text>
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                <text>Background: Relatively few studies have assessed psychosocial correlates for secondary amenorrhea. Our study of the Gynaecological condition concerning personality factor (on introversion-extroversion dimension), parenting (authoritarian and authoritative) style, depression and perceived stress addresses this gap in the literature. The study inquires, whether these variables are related. Aims and objectives: To evaluate the relation of personality, parenting, stress and depression in patients with secondary amenorrhoea. Methods: Evaluation was done for forty-four young-adult female patients (with their fathers alive) affected by secondary amenorrhea, requesting help for menstrual disorders. The Parental Authority Questionnaire administered on the parent of patients, and Beck Depression Inventory, Perceived stress scale, Kundu Introversion-Extraversion Inventory on patients. In addition to that sixty healthy participants were recruited. The 104 participants were divided into two groups according to the presence (44 cases) or the absence (60 cases) of clinically diagnosed secondary amenorrhea. Results: Appropriate use of correlation coefficient followed by a test of significance revealed significant correlations between the variables which were hypothesised in accordance and hadbeen discussedregarding future research. Conclusions: Secondary amenorrhea was found to be possibly associated with personality factors, stress, depression and the kind of parenting individuals receive during their lifetime.</text>
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                <text>Andhra Pradesh Journal of Psychological Medicine, Vol-16, No. 2, pp. 138-145.</text>
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                <text>There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? How can social cognition be applied practically in clinical contexts and psycho-social rehabilitation? How does social cognition influence decision-making and cross-cultural perspectives? To find the answers to these concerns, researchers can now look to Principles and Clinical Interventions in Social Cognition, a research book which delves into recent advances, practical applications, and future trajectories within the intricate relationship between social processes and cognitive mechanisms. It adopts a unique structure, each chapter offering a concise introduction to a specific aspect of social cognition. From foundational principles to applications in clinical interventions and individual well-being, it covers neuro-cognitive processes, experiments, and social cognition in various clinical and health conditions. This book stands out for its emphasis on the practical applications of social cognition in interventions and rehabilitation for clinical populations. By addressing the intersection of social psychology and cognition, it provides actionable insights and potential solutions to the complex challenges in the field. The content spans a broad spectrum, including attention and perception, affect, motivation, behavior, learning, memory, language, decision-making, attitudes, prejudice, stereotyping, theory of mind, self, and others. The interdisciplinary nature of this book makes it an authoritative resource for professionals, researchers, and students in psychology, neuropsychology, cognitive psychology, cognitive neuroscience, social work, sociology, management, allied health sciences, and other areas of social science. By offering a blend of historical context, cognitive processes, social behavior, and real-world applications, this book bridges gaps and offers a holistic understanding of social cognition.  2024 by IGI Global. All rights reserved.</text>
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                <text>This pioneering work focuses on positive psychology and wellbeing from a neuropsychological perspective. It bridges social, emotional, and psychological principles to explore the burgeoning field of positive neuropsychology. Combining academic theory and clinical practice, it delves into foundational principles, assessments of neuro-cognitive health, evidence-based interventions, practical applications and real-life case studies, and the profound implications of positive neuropsychology in educational contexts. At the intersection between neuropsychology and positive psychology, this book advocates the recent shift toward recognizing the paramount importance of exploring the positive facets of neuropsychological functioning, rather than the historical focus of neuropsychology on ameliorating cognitive deficits and addressing neurological disorders. A must-read for academics, clinicians, and students in neuropsychology, clinical psychology, and positive psychology, this book is also invaluable for anyone interested in enhancing cognitive wellbeing and resilience.  2025 K. Jayasankara Reddy. All rights reserved.</text>
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                <text>This comprehensive textbook offers a holistic integration of both the research and clinical aspects of neuropsychology. Combining Eastern and Western perspectives, it explores latest developments, current scope, and significant challenges in the field to provide a detailed understanding of brain and behavior from research and intervention methods to rehabilitation and applications. Each chapter in the book includes an introduction to the topic, an overview of the latest research in the field, and a discussion of the future directions that research can take. The book is structured into three parts, each addressing specific aspects of the field. Part 1 introduces the readers to the fundamental principles of neuropsychology, including the available methods of assessment, brain anatomy, and its connection with human psychology. It provides an indepth look at neuropsychological and electrophysiological methods and their applications in clinical practice. Part 2 focuses on the brain and cognition, examining the complex mechanisms that underlie cognitive behavior. The chapters include neuropsychology of various executive functions, memory, and social cognition. Part 3 delves into clinical disorders and their biological basis. This section explores the disorders that have a direct relationship between brain functioning and behavior, offering valuable insights into their diagnosis, treatment, and management. It is an essential resource for both students in clinical neuropsychology and professionals seeking to expand their knowledge and stay abreast of the latest developments.  2024 K. Jayasankara Reddy.</text>
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                <text>The Internet has been one of the most transformative and rapidly growing technologies. In recent years, it has improved the quality of life in areas such as communication, education, recreation. On the contrary, there are growing concerns about the use of the Internet that have created adverse consequences in the areas of social life, interpersonal relationships, family environment, and school activities. School-going children were vulnerable to such unhealthy outcomes due to readily available high-speed Internet and ease of access to different Internet platforms, which resulted in risky behaviours, decreased academic performance, poor nutrition, decreased sleep quality, and a high incidence of inter-social conflicts. While the majority of the research has focused on the adolescent population in terms of problematic Internet use, only a few studies have identified the vulnerabilities of school-going children in the same context. The research also confirmed that the risk factors for problematic Internet use start as early as middle childhood. Heightened risky use of the Internet was observed in children with neurodevelopmental concerns. This study explores risk factors associated with problematic Internet use among school-going children, identifying relevant warning signs followed with preventative measures.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.</text>
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                <text>Psychogenic non-epileptic seizures (PNES) often get misdiagnosed to be epileptic seizures, and the price that is paid for the same by the patient and the family is huge. It is called by multiple names such as pseudoseizures non-epileptic attack disorder,  dissociative seizures,  and functional motor disorder. Not only is it difficult to identify the disorder, but it also poses an added difficulty with comorbid epilepsy. Adding on to these, it becomes difficult for both the healthcare provider to offer psychoeducation and the family to accept since no tangible evidence such as scans portrays any abnormality. Though in a simple manner it can be said this disorder presents itself like epileptic seizures but has no neurological base, explaining the same to the patients and their family is not as simple. However, surprisingly the prognosis for PNES is better for children. This chapter thus focuses on aspects that are essential for the treatment of the disorder and prevention. In particular, the manifestation of PNES in children is discussed by introducing the disorder with epidemiological information. Further clinical picture, etiology, diagnosis and prevention and intervention are discussed. Although there are limited studies that exist on the treatment of the disorder in the pediatric population, their outcomes to reduce PNES symptoms are significant. Hence, the chapter makes an attempt to review these studies in detail and mention highlights of these studies that contribute to a reduction in the symptoms. Finally, the chapter concludes with a biopsychosocial model that explains the relationship between these factors and PNES and how this can be used in prevention.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.</text>
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                <text>The chapter examines the concept of brain-based learning to bridge the gap between neuropsychology and education while understanding the best way to use our brain for meaningful learning. It suggests learning as a developmental process that enhances in a challenging but less threatening environment. Brain plasticity suggests that repeated exposure to a stimulus in a conducive environment helps in better recall and retrieval, as the repeated exposure allows the formation of new neural connections and strengthening the old ones while engaging in the task. As the application of brain-based learning moves away from the traditional style of learning, it focuses on a more holistic understanding of the process of learning. The chapter talks about applying a brain-based learning model to enhance learning in a stimulating surrounding to explore and stimulate various sense organs and further enhance neural connections. It discusses strategies to incorporate to allow engagement of sensory organs and problem-solve to enhance learning. Another perspective suggests attaching emotion to a situation which leads to forming a meaningful association in our brain. Depending on the strength of this connection, it becomes easier to recall and retrieve the memory. When compared to the traditional style of teaching, brain-based learning has shown to better academic accomplishment.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.</text>
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                <text>Reddy K.J., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Menon K.R., School of Psychology, The University of Sydney, Australia; Hunjan U.G., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Stress has become part of students' academic life due to the various internal and external expectations placed upon their shoulders. Adolescents are particularly vulnerable to the problems associated with academic stress as transitions occur at an individual and social level. It therefore, becomes imperative to understand the sources and impact of academic stress in order to derive adequate and efficient intervention strategies. The study employed a quantitative research design where participants were screened using Academic Stress Scale (Rajendran&amp;amp; Kaliappan,1991 from four streams namely, commerce, management, humanities, and basic sciences. The five dimensions of sources such as personal inadequacy, fear of failure, interpersonal difficulties with teachers, teacher pupil relationship and inadequate study facilities were further analysed and gender differences were also obtained. Understanding the sources of stress would facilitate the development of effective counselling modules and intervention strategies by school psychologists and counsellors in order to help students alleviate stress. Published by Oriental Scientific Publishing Company  2018.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052663339&amp;amp;doi=10.13005%2Fbpj%2F1404&amp;amp;partnerID=40&amp;amp;md5=5acf0588a4651ab7aeb809fd49d0b918" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052663339&amp;amp;doi=10.13005%2fbpj%2f1404&amp;amp;partnerID=40&amp;amp;md5=5acf0588a4651ab7aeb809fd49d0b918&lt;/a&gt;</text>
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                <text>Reddy K.J., Department of Psychology, Christ University, Bengaluru, 560 029, India; Menon K.R., Department of Psychology, Christ University, Bengaluru, 560 029, India; Thattil A., Department of Psychology, Christ University, Bengaluru, 560 029, India</text>
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                <text>Child Mental Health in the Milieu of Online Education</text>
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                <text>Coping; Educational psychology; Flourishing; Online learning; Pandemic; School mental health</text>
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                <text>The aim of this chapter is to examine the impact of online education on mental health of children, and explore methods to improve the same. With the advent of COVID-19 pandemic, major overhauls were made in day-to-day life including work, home, and education. Shift to online mode of instruction became the primary, if not the only, channel of education. This drastic shift has led to issues like limited social interaction, learning gaps due to insufficient in-person interaction, excessive screen time on devices, and decreased physical activity, which can impact mental health of children. This chapter will explore the impact of online learning on the mental health of children from both mental ill-health and well-being perspectives, the role of parents, teachers, and educational systems, and challenges and opportunities presented by the situation. Further to this, the ways to safeguard and improve mental health of children in the milieu of online education will be discussed.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.</text>
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                <text>Reddy K.J., Department of Psychology, Centre for Research, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Nataraj B.M., CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Pant S., Azim Premji University, Bengaluru, India</text>
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                <text>This study reported one-pot hydrothermal synthesis of 3D garland BiOI, spherical ZnO, and carbon nanofibers (CNFs) onto Ni foam substrate with improved supercapacitor performance and enhanced electrochemical properties. The synthesized nanocomposites exhibited high specific capacitance (SC) of 1073 g?1 at a current density of 1 A/g and excellent cycling stability with 88.6% retention of original capacity after 5000 cycles in 2M KOH aqueous solution. The findings highlight the potential of 3D materials for use as electrode materials in advanced supercapacitor applications due to their high energy storage capabilities.  2024 Elsevier Ltd</text>
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                <text>Reddy N.R., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Kumar A.S., Department of Physics, Yeungnam University, Gyeongsan, 38541, South Korea; Reddy P.M., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Roy N., Department of Physics, Yeungnam University, Gyeongsan, 38541, South Korea; Kanchi S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Kakarla R.R., School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW 2006, Australia; Jung J.H., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Aminabhavi T.M., Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Karnataka, Hubballi, 580031, India, School of Engineering, University of Petroleum and Energy Studies (UPES), Uttarakhand, Dehradun, 248 007, India; Joo S.W., School of Mechanical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea</text>
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                <text>In the context of food security, two things are significant. To ensure availability, affordability and accessibility of adequate food to people throughout the country. Also, to promote entrepreneurship for sustainable food production and supply. This paper highlights differences between food security and food insecurity. The global population in 2050 is predicted at 9 billion in which case the output must double considering the dwindling and degrading resources. This may be a challenge for agronomists and policy-makers. Considering that food security must be achieved at individual, household, district, national and global levels, India may need an Integrated Farming System (IFS) to take agriculture further. There are numerous challenges besides the environment that must be considered for this. It is important to ensure that the dignity of the farmer is not compromised while strategizing food security. Currently, private-public partnerships are being introduced in some places as a potential model. However, all stakeholders in food security have their task cut out (1). This paper is a review of existing literature to understand the level of information we have documented. It tries to highlight ways in which consumption of ethnic food could be a way forward in terms of food security and sustainability.  The Electrochemical Society</text>
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                <text>Reddy N.S., Department of Hotel Management, Christ University, Bengaluru, 560029, India; Fukey L.N., Department of Hotel Management, Christ University, Bengaluru, 560029, India; Wankhar V., Department of Hotel Management, Christ University, Bengaluru, 560029, India</text>
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