Volume 12 | Issue 4

 Abstract

Academic Stress is a pervasive phenomenon experienced by students across educational settings, characterized by the pressures, demands, and challenges inherent in the pursuit of academic goals. This research paper explores the nuanced interplay between Academic Stress and coping strategies, shedding light on the mechanisms through which students navigate the rigours of academia while striving to maintain their well-being and academic performance. The study employed quantitative research where 130 students were chosen randomly from B.Tech and was screened by using The Perceived Stress Scale (PSS) and coping strategy scale by Holahan and Moos. The results indicated that the mean score for Academic Stress was 20.60 (SD = 129), and the mean score for coping strategies was 35.13 (SD = 129). There was a negative correlation between Academic Stress and Coping Strategies. The study also shows that females have higher Copying Strategies than males, the males tend to face higher Academic Stress even because of external factors The study relied on self-reported data, which can be susceptible to bias. The small sample size limits the generalizability of the findings

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Academic stress, Coping Strategies, college students

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Generative Artificial Intelligence (AI), a subset of AI that generates new content such as text, images, and audio, has recently made significant advances, with key developments including Large Language Models (LLMs) such as OpenAI's Generative Pre-trained Transformer (GPT) -3/4, Large Language Model Meta AI (LLaMA), and Pathways Language Mode. These models, trained on large datasets to detect patterns and context inside language, have proven beneficial for difficult jobs for humans, providing efficiency, accuracy, and uniqueness. This research project uses OpenAI's GPT model to provide personalised applications like as document summarization, question answering, and numerical data analysis. Users may submit documents in a variety of formats and obtain a summary, as well as ask questions to extract responses. This function has several uses, ranging from students summarising educational materials to attorneys summarising court data. Users may also run data analysis procedures on CSV files containing numerical data, which is important for summarising financial information. As technology advances, the potential applications of generative AI models grow, influencing industries such as entertainment and healthcare. These models' versatility makes them useful tools for problem solvers in a variety of sectors. The fast development of huge language models and generative AI in recent years has been astonishing, with OpenAI's release of ChatGPT in 2022 pushing these technologies to the forefront. This paper studies the characteristics and applications of big language models, generative AI, and the features of Retrieval Augmented Generation (RAG). A software programme capable of interactive conversations in the context of specific papers is developed and tested, resulting in an application that is equivalent to commercial solutions. This programme can summarise large papers into simple, succinct English and provide accurate answers to proposed queries. Future optimisation efforts can concentrate on reducing reaction time and comparing the utilisation of various language models.

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Generative Artificial Intelligence (AI), Large Language Model (LLM), OpenAI's Generative Pre-trained Transformer (GPT) -3/4, Large Language Model Meta AI (LLaMA), and Pathways Language Mode (PaLM), Retrieval Augmented Generation (RAG)

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The rapid evolution of cryptocurrencies, such as Bitcoin and Dogecoin, has sparked significant interest and investment, highlighting the need for secure, reliable, and user-friendly platforms. This paper provides a thorough review and analysis of the DevOps CryptoVision project, a pioneering initiative aimed at revolutionizing user engagement with cryptocurrencies. In the ever-changing digital asset landscape, CryptoVision serves as a comprehensive cryptocurrency data and information aggregation platform, prioritizing accuracy, security, and user-centric design. It seamlessly integrates real-time data from various sources to offer a holistic view of the cryptocurrency market. The project leverages a robust DevOps Continuous Integration/Continuous Deployment (CI/CD) pipeline to maintain data accuracy, stability, and security, thereby ensuring a user-friendly experience. DevOps CryptoVision represents a forward-thinking effort that bridges the gap between cryptocurrency markets and users, offering the knowledge, resources, and tools necessary to navigate this dynamic landscape with confidence.

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Integrated DevOps, Data Aggregation, User-Centric Design, user engagement, robust security, Continuous Integration/Continuous Deployment (CI/CD)

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Holistic Assessment demonstrates one of the many reasons a value-based education is worth considering. It orients students to become lifelong learners. It emphasizes the focus on deeper learning instead of simply imparting concrete knowledge and textbook material. Holistic Assessment recognizes that educating a child goes beyond academics by promoting the growth of all areas of human development, including intellectual, emotional, social, and moral arenas. The future ji of students are shaped primarily by teachers through the use of holistic assessments, learning, and other teaching methods. Reflection on one's actions and how they might affect the local and global community is a skill that is taught to students.

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HOLISTIC, ASSESTMENT, STUDENTS, PARENTS, STAKEHOLDERS

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This paper presents the development of a full stack social media website utilizing MongoDB, Express.js, and Node.js (MEN stack).Leveraging the flexibility and scalability of MongoDB as a NoSQL database, coupled with the robustness of Express.js and Node.js for server-side development, the platform offers a dynamic and responsive user experience.

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MongoDB, Node, JavaScript, Socket.io

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The Insolvency and Bankruptcy Code (IBC) 2016 serves as a comprehensive guideline for the design, construction, and maintenance of buildings across India. This paper aims to provide an examination as to whether the inception of the code has been successful or not?

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CIRP, IBC, NCLT, PPIRP

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As the prevalence of deepfake videos continues to escalate, there is an urgent need for robust and efficient detection methods to mitigate the potential consequences of misinformation and manipulation. This Project explores the application of Long Short-Term Memory (LSTM) networks in the realm of deepfake video detection. LSTM, a type of recurrent neural network (RNN), has proven to be adept at capturing temporal dependencies in sequential data, making it a promising candidate for analyzing the dynamic nature of videos. It also addresses challenges and limitations inherent in deepfake detection, including mitigating false positives and negatives, and discusses potential avenues for future research to enhance the robustness of LSTM-based detection systems.

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Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Generative Adversarial Network (GAN). Convolutional Neural Network (CNN).

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Statistical regression is vital for thoroughly analyzing and optimizing Internal Combustion engine performance, serving various functions like providing predictive insights and aiding data-driven decision-making. In this study, two methodologies, no transform and square root transformation are compared for their effectiveness in predicting engine performance indicators brake thermal efficiency and specific fuel consumption in spark ignition engines fueled with pyro oil and gasoline blends. Analysis of Variance (ANOVA), the statistical analysis tool was used to find the significant of the model. The findings consistently favor the square root transformation, which demonstrates higher R-squared values and better alignment with actual values compared to no transform regression technique. Notably, it offers more accurate predictions of critical metrics such as brake thermal efficiency and specific fuel consumption compared to the traditional no transform approach. Overall, this research significantly contributes to refining engine performance prediction models, offering valuable insights for decision-making in automotive engineering and design.

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Statistical regression, spark ignition engine, no transformation, square root transformation

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It is well said, "Literature is the mirror of the society." Through literature we can see the real face of a society. Literature and society are influential on each other. Indian literature as such in the first half of 20th century was greatly influenced by her struggle for independence. The present paper is based upon a study on the 'influence of Gandhi and his ideology on Indian fiction nearing her independence and after'

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Gandhi, ideology, fiction, realism, character, theme, struggle, independence.

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A customized e-commerce mobile application is tailored to the specific needs and preferences of a business, al- lowing for a personalized shopping experience for customers.The application incorporates mature e-commerce business processes and mobile technology to make it easy for businesses to set up and manage their online shop.The application is developed by identifying and examining the main features of existing commerce mobile applications, designing an architecture that supports rapid customization, and building a prototype using available related technology.The benefits of the application are two-fold, providing quick and easy setup for sellers and a seamless and personalized shopping experience for customers.The application provides valuable insights and analytics on customer behavior, which can be used to make data-driven decisions and improve operations.The flexible and scalable nature of the application makes it ideal for businesses of all sizes, allowing them to tap into the growing e-commerce market and reach their customers on the platform they use most. Index Terms--Business processes, Mobile technology, E- commerce market

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E-commerce mobile application; M-commerce Mobile commerce applications; Customizable e-commerce mobile application; Business processes Mobile technology ;E-commerce market; Personalized shopping experience; Customer behavior; Data-driven decisions; Security concerns ;Encrypted transactions

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In today's interconnected world, effective communication is fundamental. For the deaf and mute community, communicating with those who don't understand sign language is challenging. To bridge this gap, we propose a web app translating sign language into spoken or written language and vice versa. Users capture gestures with a camera, and our system, powered by TensorFlow and advanced image processing, converts them into coherent text. Supporting various sign languages and spoken languages, it enables real-time two-way communication. This innovative solution fosters inclusivity by empowering meaningful interactions between the deaf and mute community and the general population, promoting understanding and integration..

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Inclusive communication, AI-driven, sign language translation, web application, deaf and mute community.

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Creative Commons Attribution 4.0 and The Open Definition

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Counterfeiting of products poses significant challenges across various industries, leading to economic losses, compromised consumer safety, and brand reputation damage. Traditional methods of product authentication often fall short in effectively combating this issue due to their limitations in traceability and transparency. In response, emerging technologies like blockchain offer a promising solution by providing a decentralized, immutable ledger for recording transactions securely. This paper proposes a novel approach for fake product identification utilizing blockchain technology. The proposed system employs blockchain to create a transparent and tamper-proof record of the product life cycle, from manufacturing to distribution and eventual sale. Each product is assigned a unique digital identity, recorded on the blockchain along with relevant information such as production details, supply chain journey, and authentication checkpoints. Smart contracts are utilized to automate verification processes, enabling seamless tracking and authentication at every stage of the product's journey. Furthermore, the system integrates various authentication mechanisms, such as QR codes, NFC tags, or RFID chips, to facilitate easy and secure verification by consumers and stakeholders. These physical identifiers are linked to the corresponding digital records on the blockchain, allowing instant validation of product authenticity using a smartphone or dedicated scanning device. In conclusion, the integration of blockchain technology for fake product identification represents a promising approach to address the growing threat of counterfeiting. By establishing a decentralized and transparent ecosystem, this solution offers a robust mechanism for ensuring product authenticity, thereby benefiting consumers, businesses, and society as a whole.

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Blockchain, QR codes, MetaMask, Smart contracts, Product authentication, Decentralized apps.

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ABSTRACT Background: Asthma is a broad term used to refer a disorder of the respiratory system that leads to episodic difficulty in breathing.It leads to airway hyper responsiveness, obstruction, hyper production of mucus and remodeling of airway walls. Bronchial asthma is a recurrent but reversible obstruction of the airways. Asthma is a major cause of disability and health resource utilization, and reduces quality of life. This is partly caused by asthma exacerbations, which have a huge impact on patients and their families. Over the last 25 years,the increase in asthma prevalence is due to the changes in our environmental or lifestyle modification. Aim: To assess the prescribing pattern and medication adherence in asthmatic patients and evaluate their quality of life. Objectives: o To assess the prescribing pattern in asthmatic patients . o To investigate the medication adherence in asthmatic patients . o To evaluate the quality of life of selected population . Materials and Methods: The prospective observational study was carried out in 10 patients with asthma in Cosmopolitan Hospital, Trivandrum. The study was conducted after getting informed consent from the patient. Proforma was used for collecting the demographic details of the patient and patient counselling was given to them using PILs.The prescription pattern, medication adherence and quality of life of subjects was assessed. The details of the drugs prescribed were noted down. Medication adherencewas assessed using AAMQ [Adherence to Asthma Medication Questionnaire] and quality of life was assessed using AQLQ [ Asthma Quality of life questionnaire with standardized Activities]questionnaires both before and after counselling(follow up done after 2 weeks) and essential details were documented . Result: During the study 10 asthma patients were included for the study who satisfied the inclusion criteria.The prescription was analyzed and found that the mostly prescribed drugs were Leukotriene Antagonists, Corticosteroids, Methyl Xanthines and Beta-Agonists.The mostly given therapy is anti- asthmatic drug combinations rather than monotherapy. Out of 24 drugs prescribed 15 were prescribed with oral dosage form and rest via inhalational route. In the study we have seen a significant improvement in medication adherence and quality of life in patients after receiving proper counselling. Conclusion: It was concluded that the mostly prescribed anti-asthmatic drug is leukotriene antagonists and the patients diagnosed with asthma mostly received oral therapy than by inhalation. There is significant improvement in medication adherence and QOL after proper counselling given to the subjects.

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Keywords:AQLQ,AAMQ,QOL,Medication Adherence, Leukotriene Antagonists, Methyl Xanthines, Beta agonists, PIL(Patient Information Leaflet)

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An important first step toward completely changing trash management in educational settings is the automation of the campus garbage management system via the Internet of Things, as demonstrated by the Campus trash management system app. This creative approach makes use of Internet of Things (IoT) technologies to develop a smooth and intuitive platform. Through simple categorization, the app not only simplifies waste disposal but also guarantees real-time bin status monitoring, encouraging a pro-active waste collection strategy. By encouraging recycling programs and reducing needless trash generation, the system essentially integrates sustainability concepts. By integrating a comprehensive reporting mechanism, users may report issues such as overflowing dumpsters to authorities swiftly, facilitating prompt resolutions. The ultimate goal is to cultivate an organized and attentive awareness of the environment.

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IoT, Campus Garbage Management, Realtime Bin Status Monitoring

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The aim of the research is to investigate the impact of mindfulness on emotional intelligence and self-esteem among youth. The sampling technique used was convenience sampling. The sample size was 101. The questionnaires used were MAAS, RSES, SSEIT. The result was significant (correlation significant at 0.01 level) for mindfulness and emotional intelligence and the same for mindfulness and self-esteem. The study was quantitative.

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Keywords: Mindfulness, Emotional Intelligence, Self-esteem, Youth.

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Creative Commons Attribution 4.0 and The Open Definition

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Over a period of time it is found that different sectors of economy have changed including education sector. Unlike any other sector, education sector has seen many evolution and changes. Education system changed from Guru-Shishya Parampara to class room teaching, then teaching with the help of projectors or LED and now its online teaching classes or teaching through E-Learning portals or Web Based E-Learning (WBEL). It has been seen from the past several years that online education system or E-Learning system has emerged as a powerful contender for new education system. From the recent past it has been found that several online courses have been conducted to educate millions of people around the globe on various topics. In spite of difference in culture and language and diverse population E-Learning system has gained a lot of popularity increase in affordability and purchasing power of Indians. The only reason for growth in E-Learning system is drastic change in information technology and technological improvements. This article aimed at examining the impact of E-Learning or Web Based ELearning (WBEL) in modern India Education System.

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Education, E-Learning, Web Based E-Learning (WBEL), HTML,CSS,Javascript, Reactjs ,Nodejs,Mongodb,Purchasing Power, Education System.

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It is typical for humans to migrate. Humans have always moved to settle in various nations, towns, and residential areas. We leave the houses of our guardians or relatives and move into our own homes. We go throughout regions, cities, and towns. We also relocate within and between nations.The experiences of the individuals and communities gathered here represent all various forms of migration, although the majority of the historical materials on this website are devoted to the later kind of movement, that of cross-border movement. The objective of present study was to study the impact of environment on migranting students.

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migration,adjustment and stress

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ABSTRACT: The field of medicine and research can greatly benefit from the application of genetic engineering. The Cas-9 protein and clustered regularly interspaced short palindromic repeats (CRISPR) are linked to a groundbreaking method in genetic engineering that allows for precise gene editing. CRISPR/Cas9 is an RNA domain-containing endonuclease-based genome engineering tool that has showed potential in cancer rehabilitation owing to its high precision, accuracy, time-saving, and cost-effective tactics. It has been utilized to enhance the clinical condition of Huntington's disease (HD), a rare neurological ailment caused by a CAG trinucleotide increase in the Huntingtin gene. It is distinguished by the considerable penetration of a single mutation, and it has been used to repair CF-causing mutations, making them effective therapeutic agents for combating HIV and other infectious diseases. In recent years, RNA-editing technologies based on clustered regularly interspaced short palindromic repeats (CRISPR)-associated nucleases 9 (CAS9) have come to light as potential treatments for this insidious illness. In this article the problem statement is find out how crispr cas 9 technology is used for effective treatment of various human diseases. Diseases to be covered in this article are cancer, huntington's disease, cystic fibrosis, human immunodeficiency virus (hiv) and alzheimers disease.

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Crispr-cas9, Cancer, Neurological disease, Genome, DNA editing, Cystic fibrosis, Targeted Drug Delivery, Genome Engineering, human disease.

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This project aims to develop a web application using Flask, which integrates machine learning functionalities for network intrusion detection. The application will provide a user interface enabling users to load data, preprocess it, select models, and predict intrusions. Leveraging libraries such as Pandas, NumPy, and Scikit-learn, the application facilitates tasks such as data handling, encoding categorical features, splitting datasets for training and testing, and evaluating models. The machine learning algorithms available include Decision Trees, Random Forests, Support Vector Machines, and a pre-trained Neural Network. Users will be able to input network traffic features to predict intrusions at a certain time, with the system classifying potential intrusions into distinct attack categories. The ultimate goal of this project is to offer a user-friendly tool for network security analysts to identify and classify potential network intrusions.

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Random Forest, Decision Tree, Neural Network and Support vector machine, ML techniques, evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

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

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