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                <text>Performance analysis of alternating minimization based low complexity detection for MIMO communication system</text>
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                <text>BER; complexity; CPM; MIMO; MPSOs; signal detection</text>
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                <text>Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channels AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods.  2023 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Kasiselvanathan M.; Rajagopal M.; Teresa V.V.; Krishnan P.</text>
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                <text>Automatika, Vol-64, No. 4, pp. 748-755.</text>
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                <text>&lt;a href="https://doi.org/10.1080/00051144.2023.2209416" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/00051144.2023.2209416&lt;/a&gt;
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                <text>Kasiselvanathan M., Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Tamil Nadu, Coimbatore, India; Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Teresa V.V., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Krishnan P., Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri-Campus, Kerala, Kollam, India</text>
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                <text>With the advancement of information technology, malware has become a persistent cyber security concern that targets computer systems, smart devices, and wide networks. Due to flaws in performance accuracy, analysis type, and malware classification methodologies that miss unsuspected malware attacks, malware classification has thus always been a significant concern and a challenging subject. Using the Malimg dataset, which has 9349 samples from 25 different families, this study classifies malware using a deep learning algorithm called a convolution neural network and evaluating the accuracy using a number of activation functions in this study. The proposed CNN model for malware classification achieves a high accuracy rate without the need for complex feature engineering. The model achieved the highest accuracy of 96.93% when using the Rectified Linear Unit (ReLU) activation functions whereas Leaky Relu gives accuracy of 96.76%, Pre relu gives 96.36%, ELU gives 95.72% and tanh gives accuracy of 95.58%.   2024 IEEE.</text>
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                <text>Kasliwal S.; Vinay M.; Jayapriya J.; Deepa S.; Mahalakshmi J.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICDSNS62112.2024.10691109" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDSNS62112.2024.10691109&lt;/a&gt;
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                <text>Kasliwal S., Christ Univesity, Department of Computer Science, Bangalore, India; Vinay M., Christ Univesity, Department of Computer Science, Bangalore, India; Jayapriya J., Christ Univesity, Department of Computer Science, Bangalore, India; Deepa S., Christ Univesity, Department of Computer Science, Bangalore, India; Mahalakshmi J., Christ Univesity, Department of Computer Science, Bangalore, India</text>
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                <text>Natural language processing (NLP) implemented in digital scientific records (EMRs) can substantially enhance the nice and efficiency of affected person care. The purpose of NLP implemented in EMRs is to extract applicable facts from affected persons' notes written in a human language together with English. This information can then be stored in a suitable structured form for further evaluation and records mining. NLP has been carried out in the clinical field for the reason that Fifties as a green approach for retrieving textual content-based data and reading interactions among affected persons and healthcare professionals. With the arrival of electronic facts, NLP has come to be extra extensively applied for the diffusion of purposes, inclusive of automatic coding, scientific choice aid, and medical doctor order access. This summary makes a of exploring the usage of NLP in EMRs. The scope of this research consists of an evaluate of present NLP technologies and their software in EMRs. It additionally outlines a number of the present-day demanding situations inside the use of NLP for clinical information and shows capability answers. Finally, the potential applications of NLP-driven EMRs are discussed, inclusive of making use of in-health practitioner order entry, scientific choice assistance, and population health control.  2024 IEEE.</text>
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                <text>2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCCNT61001.2024.10723891" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCCNT61001.2024.10723891&lt;/a&gt;
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                <text>Kasula B.Y., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Patil S.C., United States; Takkalapally P., Lewis University, Department of Engineering, Computing and Mathematical Sciences, United States; Gupta K., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Logeshwaran J., CHRIST (Deemed to be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India</text>
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                <text>Kaswan K.S., ITM Business School, India; Dhatterwal J.S., Koneru Lakshmaiah Education Foundation, India; Singh S.P., Rashtrakavi Ramdhari Singh Dinkar College of Engineering, India; Sharma V., Computer Science Department CHRIST (Deemed to be University), Delhi-NCR, India; Balusamy B., Shiv Nadar Institute of Eminence, Shiv Nadar University, Delhi NCR Campus, India</text>
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                <text>Convolutional Neural Network; Deep Learning; Food Classification; Food Detection; Pattern Recognition; Tensorflow</text>
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                <text>The modern world healthy body depends on the number of calories consumed, hence monitoring calorie intake is necessary to maintain good health. At the point when your Body Mass Index is somewhere in between from 25 to 29. It implies that you are conveying overabundance weight. Assuming your BMI is more than 30, it implies you have obesity. To get in shape or keep up the solid weight individuals needs to monitor the calorie they take. The existing system calorie estimation is to be happened manually. The proposed model is to provide unique solution for measuring calorie by using deep learning algorithm. The food calorie calculation is very important in medical field. Because this food calorie is provide good health condition. This measurement is taken from food image in different objects that is fruits and vegetables. This measurement is taken with the help of neural network. The tensor flow is one of the best methods to classify the machine learning method. This method is implementing to calculate the food calorie with the help of Convolutional Neural Network. The input of this calculated model is taken an image of food. The food calorie value is calculated the proposed CNN model with the help of food object detection. The primary parameter of the result is taken by volume error estimation and secondary parameter is calorie error estimation. The volume error estimation is gradually reduced by 20%. That indicates the proposed CNN model is providing higher accuracy level compare to existing model.  2021 IEEE.</text>
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                <text>2021 3rd International Conference on Signal Processing and Communication, ICPSC 2021, pp. 666-670.</text>
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                <text>Kasyap V.B., CHRIST (Deemed to Be University), School of Engineering and Technology, India; Jayapandian N., CHRIST (Deemed to Be University), School of Engineering and Technology, India</text>
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                <text>The world of communication &amp;amp; computing platform in research perspective: Opportunities and challenges</text>
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              <elementText elementTextId="182505">
                <text>Cloud Computing; Cluster Computing; Distributed Computing; Grid Computing; Mobile Computing; Parallel Computing</text>
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                <text>Computing paradigms are introduced for solving complex problems by analyzing, designing and implementing by complex systems. Computing can be defined as the effective use of computer or computer technology to solve tasks that are goal oriented. Computing is used in development of producing scientific studies, building intelligent systems, channeling different media for communication. Over the last few years, internet became so popular which lead to the increase in computer processing capacity, data storage and communication with one another. Computing has evolved from one technology to another in its field and formed a robust framework over the years. In this paper a survey on different computing paradigms like evergreen computing is cloud computing, to deal with basic scheduling is grid computing, for multi task handing is parallel computing, to handle smart phone data's that is mobile computing, cluster computing, and distributed computing is carried out. These technologies improved the way computing functions and made it easier to the computer world. The applications and research issues of the most of the computing paradigms are discussed in this article. The recent research issues in computing platform are scheduling and security. The scheduling is dealing with data processing from one computing platform to other computing device. Security is one of the important research issues.  2021 IEEE.</text>
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                <text>2021 3rd International Conference on Signal Processing and Communication, ICPSC 2021, pp. 289-293.</text>
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                <text>Katevarapu D.S., American Psychiatric Association (APA), American Psychological Association, American Psychological Sciences, and British Psychological Society, United States; Pratap Singh D.A., Department of Psychology &amp;amp; Mental Health, Gautam Buddha University, India; Tiwari D.P., Head of Department, School of Behavioral and Social Sciences, Manav Rachna Institute of Research and Studies, India; Varshney M.A., Department of Clinical Psychology, Shanti Home KNEUS Hospital, India, Department of Psychology &amp;amp; Mental Health, Gautam Buddha University, Greater Noida, India; Lanka M.P.; Pradhan M.A.; Panwar D.N., Department of Psychology, School of Social Sciences, Christ (Deemed to be) University, India; Sapru Wangnue D.K., WE AVEC U Mental Health Organization, India</text>
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                <text>In digital transformation, digital finance has emerged as an alternative to conventional financial services. Currently, digital financial aspects and environmental sustainability are urgent issues receiving research attention for environmental mitigation. This empirical research addresses digital finance on environmental sustainability through mobile banking app usage. It is among the convenient digital financial technologies developed in recent years for the benefit of various stakeholders. The current model integrated UTAUT2 with perceived security and environmental sustainability. The partial least square structural equation modelling was used to test the hypothesis and other statistical power. This paper provides sustainable perspectives encouraging the Indian tribals to adopt digital technology in financial transactions. The findings have several important policy implications for developing countries, particularly vulnerable populace and those settled in remote areas. This research confirms the positive relations of mobile banking app usage on environmental sustainability through a cross-sectional approach. Copyright  2022 Inderscience Enterprises Ltd.</text>
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                <text>Katini K., Commerce Department, CHRIST (Deemed to be University), Bangalore, 560029, India; Amalanathan S., School of Business and Management, CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach</text>
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                <text>This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients.  2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Katini K., CHRIST (Deemed to Be University), Bangalore, 560029, India; Amalanathan S., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, 560029, India; Hriizhiinio K., University of Hyderabad, Telangana, 500046, India</text>
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                <text>Financial education is required to enhance financial literacy for socio-economic development. This paper aims to understand the financial literacy level among the Scheduled Tribes of India, specifically the Mao-Naga Tribe women of Northeast India. The current paper is based on secondary data and adheres to the steps and process of a systematic review. Prominent authors, times, tribes, countries, journals, and keywords have been identified for the comprehensive analysis. Since the goal of this paper is to review the existing literature regarding financial literacy among tribals, the findings indicate that financial education intervention, socio-cultural practices, social affinity, and early life financial experience affect individuals financial literacy. It has also been observed that a productive pathway to achieve financial literacy and inclusion lies in integrating financial education programs within the socio-cultural practices of tribal women. Thus, financial literacy can enhance the financial well-being that is necessary for socio-economic development among Mao-Naga Tribal women. This paper can help governments, central bank regulators, and researchers know the essential elements of financial literacy and identify the pertinent areas for further empowerment among sub-groups of the population, especially among tribal women of Northeast India.  2022 Journal of International Womens Studies.</text>
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                <text>The objective of this paper is to explain how social media has impacted the consumer decision process as heavy use of social media has created a new landscape which lays out a new avenue for personal connections. The paper also explores how individuals are seeking information on social media and how they are processing and selecting the information before making the final purchase. The empirical data for the study has been gathered using a structured questionnaire. The descriptive statistics were performed for the select parameters of the survey instrument. The findings confirm that there is significant variance between age, income, occupation, and gender with online purchase intention of consumers. Also, the results confirm that social conversation is a significant predictor of online purchase intentions. The research findings suggest that consumers in India are actively utilising social media platforms as a key tool in validating their purchase decision. The research also explains various indicators that can be utilised by potential companies to analyse the decision-making process via social media sites. Copyright  2022 Inderscience Enterprises Ltd.</text>
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                <text>Katiyar N., Dr. A.P.J.Abdul Kalam Technical University, Sector 11, Jankipuram Vistar, Uttar Pradesh, Lucknow, 226031, India; Tripathi A.P., Christ University, Ghaziabad, India; Chaturvedi K.R., KIET School of Management, Ghaziabad  Meerut Highway, NH-58, Uttar Pradesh, Ghaziabad, 201206, India</text>
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                <text>Strategy Formulation and Implementation in Zimbabwe's Food Manufacturing Industry</text>
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                <text>This study focused on examining the influence of strategy formulation and implementation on the performance and competitive advantage of the foodmanufacturing companies in Zimbabwe. The study was prompted by the fact that newlinestrategy is essential in every organisation and that competing in the market is like newlinewar, you have injuries and casualties and the best strategy wins . More so, even though the food-manufacturing companies are essential to the Zimbabwean economy, there has been limited research on the area of strategy formulation and implementation. The study applied both quantitative and qualitative approaches because looking at the same problem from several viewpoints is an excellent way to verify data and come up with interpretation and conclusions. It is in view of this fact that the researcher used the triangulation approach, which is a combination of both philosophies, qualitative and quantitative data. The research was a survey because it allowed the research to collect data from a sizeable number of participants in 10 foodmanufacturing companies in Zimbabwe. The researcher used personal judgement in selecting the companies to be part of the study. The data was collected from directors and managerial employees, who are largely involved in the process of strategy formulation and implementation. The researcher used the questionnaires and the indepth interviews as research instruments. SPSS was the quantitative data analysis and qualitative data analysis was using thematic analysis. The study found out that foodmanufacturing companies in Zimbabwe were facing performance related challenges and there were mixed responses on the extent to which they were failing to meet financial, customer, internal business process improvement, and learning and growth targets. The food-manufacturing companies implemented marketing, human resource, financial and operations strategies but were not successful in their endeavours.</text>
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                <text>The machining of Inconel 718 which is a nickel based super alloy has become a material of great importance mainly in the aerospace industry. Reason being the materials possesses properties of increase in strength at elevated temperature, high resilience to chemical reaction and high wear resistance. Gaining optimum machining parameters have become a great concern in the manufacturing industry, where economy of machining plays a very important key role in the market. This paper gives an overview of the experimentation conducted on the basis of Response Surface Methodology (RSM). Regression equations have been developed for surface roughness, by taking into consideration the machining parameters like cutting speed, feed rate and depth of cut for face milling operation performed in CNC machine. RSM analysis was carried out with the help of Mini Tab 18 software. The Mathematical equation developed after regression analysis shows to be very efficient.  BEIESP.</text>
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                <text>Kattookaren S., Department of Mechanical, CHRIST (Deemed to be University), Bangalore, India; Sanath Vimal M., Department of Mechanical, CHRIST (Deemed to be University), Bangalore, India; Pal Pandian P., Department of Mechanical, CHRIST (Deemed to be University), Bangalore, India; Rout I.S., Department of Mechanical, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>There is a gap in existing literature regarding Over the Top (OTT) platform use contributing to the excessive and problematic screen time. We aimed to assess OTT platform use among college students and its associations with increased screen time, mental well-being, COVID-19 related anxiety and personality traits. A total of 1039 students from a college in India were invited to participate in this web-based survey. A majority of participants used OTT platforms regularly. Subscription to paid OTT platforms, poor mental well-being were associated with problematic OTT use; whereas personality trait of conscientiousness seemed to offer protection against problematic OTT use.  2021 Medicinska Naklada Zagreb. All rights reserved.</text>
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                <text>Psychiatria Danubina, Vol-33, pp. 420-423.</text>
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                <text>Kattula D., National Drug Dependence Treatment Centre (NDDTC), Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India; Balhara Y.P.S., National Drug Dependence Treatment Centre (NDDTC), Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India; Chukkali S., CHRIST (Deemed to be University), Ghaziabad, India; Singh S., National Drug Dependence Treatment Centre (NDDTC), Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India; Bhargava R., National Drug Dependence Treatment Centre (NDDTC), Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India; Ganesh R., National Drug Dependence Treatment Centre (NDDTC), Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India</text>
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                <text>Enhanced Battery Life with Supercapacitor Applied to Renewable Energy Based Electric Vehicles</text>
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                <text>Electric vehicles (EVs); Fuzzy logic controller (FLC); Hybrid energy storage system (HESS); Math Function-Based (MFB) Controller; Proportional-Integral (PI) controller; Solar power</text>
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                <text>The main goal of this work is of developing a control approach, which is able to obtain the smooth switching between energy sources, battery, and Supercapacitor (SCAP). With four separate math functions, a new math function-based (MFB) controller is designed, and this MFB will generate four output signals corresponding to the motor's speed. Further, the MFB is combined with an FLC/PI controller to reach the theme of the work. Two-hybrid different controllers are intended as per the proposed control strategy termed as MFB with FLC and MFB with PI and both are implemented individually in MATLAB/Simulink in four different modes. The entire model is implemented including a solar panel to charge the battery, this solar panel (SP) is connected to the battery and UDC through various control switches. Finally, a comparative analysis is made between two hybrid controllers to know the better-performed controller.  2023 Ecole Polytechnique de Montreal. All rights reserved.</text>
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                <text>Katuri R.; Kumar S.L.V.S.; Suresh K.</text>
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                <text>Journal of New Materials for Electrochemical Systems, Vol-26, No. 3, pp. 164-171.</text>
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                <text>Katuri R., Department of Electrical engineering, VFSTR Deemed to be University, Vadlamudi, Guntur, 522213, India; Kumar S.L.V.S., ZF Technology Center Hyderabad, India; Suresh K., Christ - Deemed to be University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Transparency in governance: A comparative study of right-to-information legislation in India, Indonesia and Nigeria</text>
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                <text>accountability; corruption; disclosure; government; India; Indonesia; Nigeria; Right to Information Act; transparency</text>
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                <text>This article discusses how the Right to Information Act in India, Nigeria and Indonesia can have an influence on ensuring transparency and accountability in the government system. The acts pertaining to the right to information in these three countries were implemented after long proceedings and deep struggles. The article looks at the legislation on the right to information in these three countries, the factors that motivated each of them to adopt the legislation, the implementation of the Right to Information Act, the challenges faced during the passage of the Act, the scope of coverage of the provisions of the Acts of all three countries, exceptions to the information disclosed to the public and problems faced during implementation from the government's side and the user's side. The article concludes with a summary of the arguments and key policy recommendations.  The Author(s) 2022.</text>
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                <text>Asian Journal of Comparative Politics, Vol-7, No. 4, pp. 1282-1296.</text>
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                <text>&lt;a href="https://doi.org/10.1177/20578911221109852" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/20578911221109852&lt;/a&gt;
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                <text>ISSN: 20578911</text>
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                <text>Kaur H., Christ University, India</text>
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