Volume 12 | Issue 3

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This literature review examines the multifaceted applications of ChatGPT in various domains, emphasizing its role in healthcare, education, programming, and business operations. ChatGPT, a groundbreaking artificial intelligence developed by OpenAI, demonstrates significant potential in generating content, improving efficiency, and enhancing user experience. In healthcare, it aids in medical education, research, and diagnostic decision-making, although concerns about accuracy, bias, and ethical implications persist. In education and programming, ChatGPT excels in personalized learning, instructional assistance, and bug fixing, while also presenting challenges related to ethical use and integration with existing systems. Moreover, ChatGPT has shown promising results in cybersecurity research, albeit with risks such as phishing and privacy breaches. Across various industries, including medical, educational, and sales sectors, ChatGPT's versatility and adaptability highlight its transformative impact on modern industries. Despite its strengths, the review underscores the necessity for human oversight, ethical considerations, and continuous research to optimize its capabilities and address existing limitations. Thus, while ChatGPT offers transformative opportunities, its responsible integration and use remain imperative for maximizing benefits and mitigating risks.

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Review on ChatGPT

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Microspheres are characterized by their free-flowing protein or synthetic polymer powders, with particles ranging in size from one to a thousandth of an inch. The array of methods available for creating microspheres presents a multitude of chances to manage drug delivery and improve a medication's therapeutic performance. A medicinal ingredient can be delivered to the target place in several ways using prolonged controlled release techniques. Using microspheres, sometimes referred to as microparticles, as drug carriers is one such strategy. If changed, it is a dependable way to transport the medication to the intended location with specificity and to keep the concentration at the site of interest where it is wanted. Microspheres have drawn a lot of interest for their ability to target anticancer medications in addition to their sustained release. Microspheres will play a key role in innovative drug delivery in the future by combining several different techniques, specifically in diseased cell sorting, diagnostics, gene & genetic materials, safe, targeted, and efficient in vivo delivery, and supplements as tiny replicas of diseased organs and tissues in the body.

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Microspheres, Types of microspheres, Method of preparation

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Programmers face situations where they have to rely on messy documentation, other developers and online search for basic programming commands and queries when they encounter any new programming environment. This leads to the waste of time of developers and decreases productivity. Code Sensei is a revolutionary tool aimed at streamlining the coding process for developers of all levels. By leveraging advanced machine learning algorithms, it offers real-time code suggestions, analysis, and generation. This enhances productivity, reduces coding errors, and ultimately saves valuable development time & which assists the programmers with basic programming queries that they face when they are new to a programming environment. It allows students to undertake programming exercises and receive interactive guidance in getting their programs to compile and run. This is the tool developed to assist students and instructors in solving their practical lab session problems, which comes with features such as error handling and solve common problems related to coding.

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: "Artificial Intelligence", "Assistant", "Online learning", "Generative model", "Encoder-Decoder".

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This study targets to explore the potential of health drinks in promoting the physical growth of adolescent students aged 18-25 in the remote areas of Odisha. In these marginalized regions, access to proper nutrition is limited, which can adversely affect the overall well-being of the youth during this critical stage of life. The research investigates the effectiveness of health drinks as a supplement to their regular diets, examining the impact on factors such as stamina, energy levels, muscle development, bone health, and cognitive function. By introducing these specially formulated health drinks, the study aim to bridge nutritional gaps and encourage healthier dietary habits among the target population. The study also highlights the importance of using natural ingredients and adhering to stringent quality standards in the production of these beverages. Educational initiatives on nutrition accompany the introduction of health drinks, empowering the students and their communities with knowledge about maintaining a balanced and healthy lifestyle. The findings from this research can provide valuable insights for policymakers, healthcare professionals, and educators, to develop sustainable strategies for improving the physical growth and overall health of adolescent students in remote areas of Odisha.

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Education, Growth, Healthcare, Adolescent, Odisha

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The Blockchain Based Fund Management System is an innovative online platform that utilizes blockchain technology to transfigure the operation of finances. This system introduces translucency and fairness by furnishing public access to project progress for all stakeholders. Client contribute funds in the form of cryptocurrencies, which are securely stored in smart contract.. These smart contracts insure the automatic allocation of funds to project directors grounded on predefined milestones. As design milestones are achieved and vindicated, separate finances are released automatically to the project manager or director's wallet. This ensures an indifferent distribution process and eliminates the need for centralized banks and third- party intervention. likewise, each milestone's data submitted by the manager is recorded on the blockchain, creating an inflexible transaction history. This real- time visibility enables guests, directors, and other stakeholders to singly corroborate the application of finances and the completion of milestone. The system's translucency and responsibility significantly reduce information imbalances and implicit controversies, fostering a cooperative and harmonious terrain among all stakeholders

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Blockchain, Fund Management, Transparency, Smart Contracts, Cryptocurrencies, Milestones, Accountability, Stakeholders

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Social media has remodeled the way people connect, communicate and share information. It has transformed various aspects of our lives, including the way we shop and engage in e-commerce. Rather than relying on traditional methods such as magazines, radio and television, consumers are progressively using social networking sites to look for information regarding various products and services. With the rise of platforms such as Facebook, Instagram, Twitter and YouTube, social media has become an integral part of the business landscape, playing a significant role in the growth and success of e-commerce businesses. The convergence of social media and e-commerce has created new opportunities for businesses to reach and engage with their target audience. Social media platforms provides an extensive user base allowing businesses to exhibit their products or services to a vast number of potential customers in unique ways. The study aims to investigate the role of social media in e-commerce, specifically focusing on consumer engagement and purchase decisions. By understanding how social media influences consumer behavior, businesses can optimize their marketing strategies to enhance consumer engagement and drive sales in the e-commerce landscape.

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Social media, E-commerce, consumer engagement, consumer purchase decision.

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ABSTRACT: BACKGROUND OF THE STUDY The word 'insomnia' originates from the latin "in"(no) and "somnus (sleep)."It is the first psychosomatic disorder to be described by Johan Heinroth in 1818.1 The term Insomnia is derived from the French word "Insomnie", insomnia clinically presents as a subjective perception of dissatisfaction with the amount and/or quality of the sleep. Difficulty in falling asleep may be primarily due to behavioural cognitive factors such as worrying in bed or having unreasonable expectations of sleep duration.as insomnia is both a symptom and a disorder in itself, detailed evaluation of the problem is imperative before reaching a clinical diagnosis2 In 2005, the National Institutes of Health held a state of the science conference on the manifestations of chronic insomnia in Adults, a summary of this conference can be obtained at the NIH consensus development program Insomnia is a sleep disorder where individual finds difficult to fall asleep. Sleep studies measures the body's ability to sleep while also detecting ways the body responds to certain sleep problems.when left untreated can cause serious health risks such as- High blood pressure, stroke, heart disease, diabetes, depression etc.3 OBJECTIVES OF THE STUDY o To assess the Prevalence of Insomnia among nursing students of selected Nursing colleges of Guwahati, Assam. o To find out the associated factors of Insomnia among nursing students in the selected Nursing colleges of Guwahati, Assam. o To associate the prevalence and associated factors on insomnia among nursing students of the selected Nursing colleges of Guwahati , Assam with the selected demographic variable. METHODS AND MATERIALS: The research approach adopted was quantitative approach. Non experimental research design was used in this study. Multistage sampling technique was used to select the samples. The study was conducted in the selected nursing colleges of Guwahati, Assam who fulfilled the inclusion criteria. The tools used for the study were standard questionnaire to assess the prevalence of insomnia. RESULTS: The study revealed that out 180 nursing students, 98(54.44%) had good sleep quality and 82(45.56%) had poor sleep quality. 59(32.8%) students belongs to the age group 20-22 years had insomnia, 81(45.0%) students were female, 31(17.2%) students belong to 4th year B.Sc. nursing students, 2(1.1%) were suffering from medical conditions, (52.8%)consume coffee daily before bedtime , 21(11.7%)have effects of sleep in functioning day to day life, 14(58.3%) use <1 hours mobile phone before sleep for games, 29(19.7%) students use mobile phone for social media , 44(34.1%) students use <1hrs mobile phone for assignments, 38(21.1%) students have dinner 9-11 pm, 68(37.8%) students stays in hostel. In the association of level of sleep quality among the nursing students with their selected demographic variables and associated factors the demographic variables such as use of mobile phone before sleep for assignments, usual time for dinner shows statistically significant association with the level of sleep quality among nursing students at p<0.05 the demographic variables such as age, gender, educational status, any medical conditions, consumption of tea or coffee before sleep ,effect of sleep in functioning day to day life, ,place of stay did not show statistically significant association with the level of sleep quality among the nursing students with their selected demographic variables at p<0.05 level of significance CONCLUSION: The study concluded that out of 180 nursing students 98(54.44%) had good sleep quality and 82(45.56) had poor sleep quality .Poor sleep quality was observed among B.Sc. nursing students in all batches with different demographic factors regardless of poor sleep quality majority of the students had good sleep quality. Efforts should be made to recognize insomnia and treat at earliest.

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KEYWORD: Prevalence, nursing student, insomnia ,associated factors.

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The use of compressed natural gas (CNG) as an alternative transportation fuel has gained attention due to its potential environmental benefits and cost savings compared to gasoline. Understanding consumer preferences regarding CNG vehicles is crucial for promoting their widespread adoption. This study aims to investigate the factors influencing consumer preferences for CNG vehicles through a comprehensive analysis of demographic characteristics, environmental concerns, cost considerations, and perceived risks associated with CNG technology. The research employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather insights from potential and existing CNG vehicle owners. The findings reveal that while cost savings and environmental consciousness are significant motivators, concerns about limited refueling infrastructure, range anxiety, and safety perceptions hinder the adoption of CNG vehicles. The study provides valuable insights for policymakers, automakers, and energy companies to develop strategies that address consumer concerns and promote the wider acceptance of CNG as a viable alternative fuel option.

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CNG vehicles, Alternative fuel vehicles, Environmental concerns, Refueling infrastructure, Emissions reduction.

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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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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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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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???? ????????? ?? ????????, ????? ? ????? ?? ??? ???? ???? ????????? ???? ??? ?????? ?????, ???????, ???????? ? ?????? ???? ?????? ??? ??? ??? ???? ????? ????????? ???? ??? ?? ??? ???? ??????? ?????? ????? ???? ????? ???? ????? ??????? ? ?????? ?? ?????????? ???? ??? ?? ??????? ?????? ?? ?????????? ?? ???? ????????? ?? ?? ??????? ???? ??? ?? ?????? ????????? ????? ??? ?????????? ?????? ?????? ???? ??????? ???????? ????? ?? ?? ?????????? ???? ??? ????? ??? ?????? ? ????? ?? ????? ???????? ?? ?????? ???? ?? ??? ???? ?????????? ??????? ??? ?????????? ?? ?????? ???? ??? ??? ???????? ??? ???? ??? ???? ???? ?? ???? ????????? ?? ????? ???????? ?? ?????? ???? ?? ??? ??????? ? ?????? (1954) ?? ???? ?? ?????? ???? ??? ???

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

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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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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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Arthritis is a condition that affects the joints of the body. It can be of different forms and can affect persons of all ages whether young and old. Arthritis causes inflammation of body joint, thus causing pain and immobility of the joints and affecting the daily activities of the person. In many forms of arthritis, the inflammation does not go away as it should. Instead, it becomes part of the problem, damaging healthy tissues of the body. This may result in more inflammation and more damage - a continuing cycle. A Quasi-experimental research approach with one group pretest posttest design was used in the study. The study was conducted in selected hospital, Bhopal. Purposive sampling technique was used to obtain 50 patients who were clinically diagnosed as arthritis patients. Many people start to feel pain and stiffness in their bodies over time. Sometimes their hands or knees or shoulders get sore and are hard to move and may become swollen. These people may have arthritis. Arthritis - a painful condition that causes inflammation of the joints thus affects the mobility of the joints. Any body part can become inflamed or painful due to arthritis. Several arthritic diseases can cause debilitating or fatal complications, and may affect numerous parts including the muscles, bones and internal organs of the body. Arthritis affects the movements one rely on for everyday activities. Arthritis is usually chronic. This means that it can last on and off for a lifetime. There are over 100 kinds of arthritis that can affect many different areas of the body. People of all ages, including children and young adults, can develop arthritis. Arthritis is one of the chronic diseases which have an impact on Quality of life of a person. As the disease progresses, it is necessary to take collaborative care along with other management in order to prevent further problems which may occur due to arthritis, thus, effecting the Quality of life of the person.

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Arthritis, Quality of Life, Chronic disease and Collaborative care

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Cultural heritage is entering in a new era with the possibilities of extraordinary access and engagement opportunities brought about by the digital age. It does, however, also provide particular preservation difficulties. In addition to transforming accessibility and involvement with cultural material, the digital age also poses special obstacles for its preservation. This study explores the complex field of digital cultural heritage preservation, highlighting the main obstacles and solutions, analyzing the ethical environment, and explaining the purpose and advantages of the practice. It also critically looks at sustainability issues, ethical issues, and the difficulties associated with technology obsolescence. Lastly, it suggests a set of tactics for the long-term, sustainable protection of cultural heritage in the digital era.

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KEYWORDS: Cultural Heritage, Digital Preservation, Traditional knowledge, Technology

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