Volume 13 | Issue 5 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Challenges, issues, developing leadership, student nurses, Synthesis, healthcare

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Creative Commons Attribution 4.0 and The Open Definition

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As a result of the exponential rise of data pertaining to millennials, it has become increasingly difficult to store, retrieve, and evaluate the data as required. For the purpose of ensuring that everyone has access to the data whenever they want it, it is kept in large clusters. This diversified collection of clusters is utilised for the replication and storage of files. There are two factors that impact the dependability of the data that is being requested: the file replication factor and the connectivity between clusters. As a result of the increased number of duplicates that are manufactured, the rising demand for replicas leads to an increase in the amount of energy that is consumed as well as the amount of time that is wasted. Unfortunately, as a result of this, the system may become unstable and may not immediately react to the user's request. The system recommends a way of file replication that is trustworthy, efficient, and energy-saving. This approach only duplicates files when there is a significant demand from users. This is done in order to conserve space on clusters. The process of storing files on clusters according to the demand for data has the potential to preserve cluster energy and choose clusters depending on the capacity of their replica storage spaces. A number of different strategies may be used in order to achieve performance goals. These strategies include streamlining the process of file read latency for users, minimising congestion for user requests, and developing a strategy for quick file replication in the case of a failure.

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Replica, Energy-Efficient Adaptive File Replication (EAFR), Data Replication for Efficient Cluster Scheduling (DARE).

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This work describes how Artificial Intelligence can be used and is being used in Educational sector. According to the 21st International Conference on Artificial Intelligence in Education held in 2020, AIED is one of the currently emerging fields in Educational technologies. The use of AI is still unclear for the educators how to make pedagogical advantage of it on a broader scale and how AI can impact on teaching and learning in higher education. The impact of AI in education and its pros and cons are presented here. It also describes a specific way to develop AI enabled platform for education and finally the after effects of AI in education.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence, AIED, emerging, pedagogical

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Anti-arthritic drugs, Rheumatoid arthritis, Osteoarthritis, Disease-modifying anti-rheumatic drugs (DMARDs), Biologic agents, Janus kinase inhibitors (JAK inhibitors), Non-steroidal anti-inflammatory drugs (NSAIDs), Glucocorticoids, Targeted therapy, Immunomodulation, Inflammatory arthritis, Symptomatic slow-acting drugs (SYSADOAs)

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In the ever-growing field of Software as a Service (SaaS), user engagement and retention have emerged as crucial success metrics. Personalization has proven to be a powerful strategy in enhancing user experience by adapting interfaces, content, and services based on user preferences and behavior. This research aims to explore the role of Artificial Intelligence (AI) in powering personalization in SaaS applications. The study will involve the design and implementation of a prototype SaaS application integrated with a machine learning-based personalization engine. Both simulation with synthetic data and real-user testing will be conducted to evaluate the effectiveness of the system. The study will compare AI-driven personalization against traditional rule-based methods in terms of user engagement, satisfaction, and task efficiency

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Creative Commons Attribution 4.0 and The Open Definition

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AI, SAAS, software

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Creative Commons Attribution 4.0 and The Open Definition

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Picture subscription is a business that demands its consumers to have a strong understanding of both language and visuals in order to be successful. It is essential for image models to be able to create words in human languages, and this can only be accomplished through the interpretation of visual material. Image subtitle technology has made considerable use of the focus approach because it is able to deliver more in-depth sequential model training with more accurate picture information. This is one of the reasons why the technique has enjoyed such widespread adoption. The problem of automatically describing the contents of a photograph through the use of natural languages is one that is not only significant but also challenging to solve. This contains a variety of possible consequences that might occur. In order to illustrate this point, it can be useful in gaining an understanding of the fundamental characteristics of the picture. The skill of supplying picture information that is more exact and succinct is another one of its capabilities. This feature is important in scenarios such as the sharing of photographs on social networking sites. Deep neural networks are utilised in this research in order to achieve the goal of achieving this objective. Convolutional neural networks, often known as CNNs, are utilised in order to extract vectors from real-time video, which is represented by image frames. Following that, an LSTM network is employed in order to create replacements that are based on these vectors. In order to analyse the model, the dataset that is used the most commonly is the one that is taken from Flickr 8K. Approximately eight thousand photographs are included in it. The generation of picture captions is accomplished through this approach by gathering information from photographs and captions that are paired together. After that, these captions are utilised in the construction of photographs.

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Convolutional Neural Networks (CNN); Long Short-Term Memory networks (LSTM); Recurrent neural networks (RNN); Deep neural networks (DNNs).

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This study aims to measure the effectiveness of the online recruitment system at Team Lease Digital, a leading digital staffing solutions provider in India. With the growing adoption of technology in talent acquisition, it is essential to evaluate whether online recruitment platforms truly offer advantages in terms of hiring efficiency, quality of hires, user satisfaction, and overall process optimization. The primary objective is to assess the efficacy of Team Lease Digital's technology-enabled recruitment process, while secondary objectives include evaluating recruitment outcomes such as time-to-hire, cost-efficiency, retention rates, user experience, and identifying best practices and challenges in the implementation of online systems. The study employs a descriptive research design and uses both primary and secondary data sources. Primary data was collected through a structured questionnaire using close-ended questions, targeting a sample of 196 respondents selected from a total population of 400 using simple random sampling, as per Morgan's table. Secondary data was gathered from organizational records and relevant literature. The collected data was analyzed using non-parametric statistical tools, due to the data's non-normal distribution as verified by the Kolmogorov-Smirnov test. The tools used for analysis include the Kruskal-Wallis H Test, and Correlation Analysis. These tools were employed to examine relationships and differences across variables such as recruiter satisfaction, system usability, and recruitment outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

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EFFICIENCY, EFFECTIVENESS, AND CHALLENGES OF ONLINE RECRUITMENT SYSTEMS

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Abstract Yoga and financial well-being are interrelated. Through yoga, the mind gets peace and financial decisions are taken efficiently. This study explores the interrelationship between regular yoga practice, happiness, and economic well-being. With the rising interest in holistic health, yoga has gained prominence not just as a physical exercise but as a tool for mental balance and life satisfaction. The purpose of study aims to examine how regular engagement in yoga impacts an individual's mental well-being and happiness and how this happiness translates into enhanced economic productivity and well-being. The study focuses on business units and their key managers to fulfill the proposed objectives Data is collected through surveys and interviews, targeting individuals who regularly practice yoga, and analyzed using both qualitative and quantitative methods. This study concludes that regular yoga practice positively influences happiness and mental well-being, which in turn contributes to economic productivity and well-being. Integrating yoga into daily life could thus be an effective strategy for holistic personal development and national productivity. The study also provides some important suggestion to apply Yoga more effectively in life.

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Creative Commons Attribution 4.0 and The Open Definition

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Key Words Yoga, Happiness, Economic Well-being, productivity.

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Creative Commons Attribution 4.0 and The Open Definition

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The urbanization of ancient Kamarupa (Modern Assam) developed over several centuries, influenced by political, economic, and social factors. Limited historical documentation before the 12th century requires reliance on diverse sources such as inscriptions, foreign traveler accounts, and archaeological findings. This paper examines key urban centers, including Pragjyotisapura, Hatappesvara, and Durjjayanagar, focusing on their role as political hubs and their connection to regional and maritime trade networks. The study reveals that these centers were not only administrative capitals but also sites of significant commercial, religious, and cultural exchange. Inscriptions and archaeological discoveries, particularly at sites like Ambari and Duboroni, offer insights into urban planning and local economic activities. Unlike trends in other parts of ancient India, Assam saw a continuous and progressive urbanization process, with settlements growing in response to both external influences and internal developments. This article contributes to the understanding of early urbanization in Northeast India, illustrating its unique trajectory within the larger Indian subcontinent.

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Urbanization, Ancient Kamarupa, Pragjyotisapura, Hatappesvara, Trade Networks, Archaeology, Epigraphy, Early Assam, Maritime Trade, Political Capitals.

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This project proposes a blockchain-based platform to enhance transparency, security, and efficiency in organ donation systems. By leveraging blockchain's decentralized and immutable architecture, the system aims to address key issues such as fraud, organ trafficking, waitlist mismanagement, and inefficient allocation. The platform uses smart contracts to automate and validate processes like donor registration, organ matching, and transplant tracking. Sensitive data is protected through cryptographic methods, and a mobile app ensures real-time access for all stakeholders. The system promotes ethical practices, builds public trust, and optimizes the allocation of organs, ultimately saving more lives.

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Creative Commons Attribution 4.0 and The Open Definition

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Blockchain, Cryptographic techniques, Stream line, Post-transplant

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Creative Commons Attribution 4.0 and The Open Definition