Volume 12 | Issue 3 |

 Abstract

The usage of mobile payments has become more popular nowadays. However, most of the people prefer mobile payments for their transactions which is one of the fintech product. The purpose of this study is to determine the factors influencing retailer's intention to adopt the mobile payments. Previous researches of mobile payments mainly concentrated on the expectations and opinions of the consumers and the regular users of the mobile payments. This study focused on the retailer's perspective of the mobile payments' usage in the business and how well this mobile payment adoption fit well with their business. The samples of the study are the 351 respondents. Primary data was obtained from 351 respondents through structured questionnaire. This data was analyzed using the descriptive statistics, correlation, regression, chi-square. SPSS 20 was used for the analysis purpose. The findings indicates that the image, intention to use, perceived ease of use, perceived usefulness have a significant impact on the intention to use and the usage behaviour. Variables like compatibility, result demonstrability, risk and voluntariness does not have any impact on the intention to use. and the usage behaviour.

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 Keywords

Mobile payments, Behavioral Intention, Correlation, Regression, Chi-square.

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Abstract-This article emphasizes the Life Sketch of Swavhakabi Ganghadhar Meher. Educational philosophy of Swabhakabi Ganghadhar Meher with respects to a.)Meanings & concept of Education, b.) Aims of education, c.) Curriculum and text book, d.) Methodology of teaching,e.) Discipline, f.) Teacher g.) School, h.) the pupil and Educational Contribution of Swabhakabi Ganghadhar Meher.

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Key word- Educational philosophy ,Swabhakabi Ganghadhar Meher , concept of Education, b.) Aims of education, c.) Curriculum and text book, d.) Methodology of teaching,e.) Discipline, f.) Teacher g.) School, h.) the pupil and Educational Contribution

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Micro-teaching is a training technique aimed at simplifying the complexities of normal classroom teaching. It is described as a "scaled down teaching encounter in class size and class time. The main objective of the present study is to study the influence of locality and type of family on the Micro teaching of B.Ed. students. Riaz Ahammad, S. (2009) was adopted from Chowdavaram Siva Kumar (2017) to measure the attitude of B.Ed. students towards micro teaching. A sample of 320 B.Ed. students representing all categories of B.Ed. colleges in Chittoor District by following the standardized procedures. 't' - test was employed for analysis of the data. There is significant influence of locality and type of family at 0.01 level of significance on the Micro teaching of B.Ed. students. Rural students and Nuclear family group have more micro teaching causes than the Urban and Joint family group students. Gover

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 Keywords

Micro teaching, Locality, Type of family and B.Ed. students.

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Natural language processing uses paraphrasing extensively in applications including question-answering, machine translation, and text-simplification. Transformers-based models have recently produced cutting-edge results on a variety of natural language processing tasks, including paraphrasing. The Microsoft Research Paraphrase Corpus, MS COCO, and Google PAWS datasets, as well as the Quora Question Pairs dataset, were used to train our paraphrase model in this project, which is built on the T5 and Bart transformers. We use a number of benchmark datasets to validate our model. We also conduct a thorough evaluation of our model's performance and investigate the impact of various hyperparameters and training approaches. Our findings suggest that our model can be used for a wide variety of paraphrasing tasks and show the usefulness of transformers-based models for paraphrasing. We are using T5 model in our project for text generation purpose, Parrot model for small scaled paraphrasing and PAWS model for large scale paraphrasing. Furthermore, in addition to all these features, we have incorporated a novel voice-based text input feature, enhancing the accessibility and usability of our paraphrasing system.

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Paraphrasing, Transformers, T5, BART.

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Politics and international affairs are just two of the areas of society that artificial intelligence (AI) is transforming. This abstract investigates the complex political ramifications of artificial intelligence on world affairs. First, AI technology can increase public administration's efficiency, transparency, and ability to make decisions. This can improve governance. However, implementation of AI in political institutions is hindered by worries about privacy, accountability, and biases caused by AI. Second, AI is changing the geopolitical landscape by impacting cyber warfare, military prowess, and intelligence collection, which is creating strategic rivalry between states. Furthermore, the growth of misinformation and disinformation operations driven by AI exacerbates foreign relations issues and jeopardizes democratic processes. Moreover, AI makes socioeconomic disparities already present worse, sparking discussions about benefit distribution and the nature of labor in the future.

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1 A.I, Cyber Security, Ethical Dilemma, Multifaceted Computational

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Cloud-based data storage service has drawn increasing interests from both academic and industry in the recent years due to its efficient and low cost management. Since it provides services in an open network, it is urgent for service providers to make use of secure data storage and sharing mechanism to ensure data confidentiality and service user privacy. To protect sensitive data from being compromised, the most widely used method is encryption. However, simply encrypting data (e.g., via AES) cannot fully address the practical need of data management. Besides, an effective access control over download request also needs to be considered so that Economic Denial of Sustainability (EDoS) attacks cannot be launched to hinder users from enjoying service. In this paper, we consider the dual access control, in the context of cloud-based storage, in the sense that we design a control mechanism over both data access and download request without loss of security and efficiency. Two dual access control systems are designed in this paper, where each of them is for a distinct designed setting. The security and experimental analysis for the systems are also presented.

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Denial of Sustainability, AES, Dual Access, Privacy

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 Abstract

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???? ???????, ????? ????????, ??????? ????, ??????? ?????, ???????

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Creative Commons Attribution 4.0 and The Open Definition

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Metasurface, Microstrip patch antenna, SSRR

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Introduction: Dosha, Dhatu, and Mala are the three basic physiological elements of the human body. Among these, the Dhatus, which help to nourish and support the body. The sixth Dhatu, Majja Dhatu, is made in the Majjavaha Srotas from the Prasada Bhaga of Asthi with the support of Majja Dhatwagni and Bhutagni. Vayu Mahabhuta makes space in the Asthi Dhatu, or bone, during its creation. These spaces are occupied by the Meda Dhatu (nourishing fat), it is referred as Majja or bone marrow. Majja Dhatu Vahana Srotas are explained in detail by Acharya Charaka. Majja Dhatu is said to be present within the Sthula Asthi, although Acharya Susrutha has not explained a unique entity to carry it in the body. Since Majja Dhatu is the one who performs Asthi Puranam, Asthi Dhatu is most impacted when Majja Kshaya occurs. Aims and Objectives: To understand Majja Dhatu and the Srotomoola in relation to modern physiology of bone marrow. Material and Method: Literature searches were conducted using classical text in Ayurveda, contemporary books, articles and many others. Discussion and Conclusion: Various Acharya state that the Majja Dhatu, which is present inside the Asthi engages Purana (filling), gives strength to the body and nourishes the Shukra Dhatu. Possible interpretations for Majja Dhatu can be taken as bone marrow present inside the bone.

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 Keywords

Majja Dhatu, Majja Dhatwagni, Majjavaha Srotas, Bone marrow

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Brain Haemorrhage isthe eruption of the brain arteries due to high blood pressure or blood clotting that could cause a traumatic injury or death.Traumatic brain damage or death may occur when the brain's arteries burstopen as a result of hypertension or blood coagulation. This is a life threatening situation that requires a doctor with extensive training and expertise to pinpoint the source of the internal hemorrhaging and provide treatment without delay. This research proposes the Yolo model, a deeplearning algorithm, for the purpose of classifying brain hemorrhages. To improve the deep learning models' accuracy and processing capability, we utilize the dataset of head CT scan pictures. Since large datasets are oftenunavailable in critical situations, this work primarily aims to apply deep learning's abstraction capacity to a smaller selection of photos. Theperformance of the proposed approach will be analysed in terms of accuracy,precision, sensitivity and F1 score. Analyses comparing the Yolo model tobalanced and unbalanced datasets further assess the experimental outcomes.By intentionally destabilising the dataset and achieving maximum precision,yolo is able to provide promising findings.

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Intracranial Haemorrhage detection, Deep learning, Yolo Model, Precision, F1-score,ANN,CNN.

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