Scope of Yoga Education in Promoting ‘21st Century Skills’ of the Digital Natives: An Overview
Assistant Professor Dr. Mrinal Mukherjee, Scholar Manami Bhadra
| DOI: 10.61463/ijrtssh.vol.2.issue4.101 |
The Evolution of African American Vernacular in 20th Century Literature
Scholar Faiza Farhat Mohammad Mustafa
| DOI: 10.61463/ijrtssh.vol.2.issue4.102 |
A Study on the Satisfaction of Maternal Health Services by Tribal Women in Assam
Arpita Das
| DOI: 10.61463/ijrtssh.vol.2.issue4.103 |
A Theoretical Framework for Understanding the Factors Influencing the Purchase Intention and Actual Usage in E-Retailing
Shivali Soni, Professor Trupti Dave
| DOI: 10.61463/ijrtssh.vol.2.issue4.104 |
Leveraging Historical Data and Performance Metrics for AI Driven Mental Health Support in Professional Environments
Shrikarnag Bangalore Prahallada, Ranjitha Sridhar Rao Nag, Shrivatsa Prahallada, Lohith Ram, Deepashree Abhaya
| DOI: 10.61463/ijrtssh.vol.2.issue4.105 |
Survey on Medicinal Plants Using in Traditional Hair Care Practices by Assamese Peoples of Lakhimpur District, Assam, North- East, India
Jitumoni Saikia
| DOI: 10.61463/ijrtssh.vol.2.issue4.106 |
The Impact of Environmental Changes on Indigenous Knowledge and Cultural Practices
Assistant Professor Pooja Negi, Rasearch Scholar Rajnesh Rana
| DOI: 10.61463/ijrtssh.vol.2.issue4.107 |
Micromanagement on Employee Performance: A Killer or Motivator
Joshua P. Galindez, Josephine P. Arias, James Patrick Dala, Cresilda M. Bragas
| DOI: 10.61463/ijrtssh.vol.2.issue4.108 |
From Print to Pixel: Investigating the Transformative Impact of Digital Storytelling on Online Literature Platforms
Authors: Research Scholar Anuradha, Dr. Ratna Pandey
Abstract: This study explores the transformative impact of digital storytelling on online literature platforms, examining the dynamic interplay between traditional print media and digital technology in shaping contemporary narratives. Through a mixed-methods approach encompassing quantitative analysis, qualitative inquiry, and case studies, we investigate the strategies employed by online literature platforms to engage users through multimedia-rich experiences and community-driven interactions. Findings reveal the diverse landscape of digital storytelling, from web novels with illustrations and soundtracks to user-generated content on platforms like Wattpad and community-driven prompts on Reddit. User engagement metrics demonstrate the significance of multimedia enhancements and community engagement in fostering a loyal and engaged audience. However, challenges persist in terms of copyright protection, content moderation, and the preservation of literary culture in the digital age. By embracing the possibilities of print and pixel, we can harness the power of storytelling to inspire, inform, and connect audiences in meaningful and transformative ways, shaping the future of literature in the digital age.
The Role Of Artificial Intelligence In Rare Disease Diagnosis
Authors: Liyana Cherian
Abstract: Artificial intelligence (AI) has emerged as a transformative force in the field of rare disease diagnosis, addressing long-standing challenges associated with these complex and often overlooked conditions. Rare diseases, characterized by their low prevalence and high clinical heterogeneity, have traditionally posed significant diagnostic difficulties due to the scarcity of specialized knowledge and limited patient data. AI technologies—including machine learning, deep learning, and natural language processing—have demonstrated the potential to enhance diagnostic accuracy, reduce delays, and personalize patient care. These technologies leverage vast amounts of medical data, including genomic information, clinical records, and imaging studies, to identify patterns and generate insights that human clinicians may overlook. This article explores the multifaceted role of AI in rare disease diagnosis, examining its applications, benefits, challenges, and ethical considerations. Emphasis is placed on how AI can integrate diverse data sources to support differential diagnosis and how it facilitates research into rare disease mechanisms and therapeutics. As AI continues to evolve, its integration into clinical workflows will require collaboration across disciplines, robust validation, and attention to data privacy to ensure equitable access and trustworthiness. This article aims to provide a comprehensive review of the current landscape and future prospects of AI in rare disease diagnosis, highlighting its transformative potential and the critical steps needed to translate AI advancements into improved patient outcomes.
Cloud-Native Applications In Healthcare IT
Authors: Anant Bhadoria
Abstract: Cloud-native applications represent a transformative approach to designing and deploying software applications, leveraging the scalability, flexibility, and resilience of cloud computing. In healthcare IT, cloud-native technologies have emerged as a pivotal enabler for advancing digital health, improving patient care, and facilitating innovative research and clinical workflows. This paradigm employs containerization, microservices, continuous integration and continuous delivery (CI/CD), and dynamic orchestration to develop applications that can seamlessly handle the complex demands of healthcare environments. Cloud-native solutions provide healthcare organizations with the ability to efficiently manage large volumes of data from electronic health records (EHR), medical imaging, genomics, and patient monitoring devices. These applications can adapt rapidly to evolving healthcare regulations and standards, ensuring compliance with data privacy and security requirements while supporting interoperability. Additionally, cloud-native architectures empower telemedicine, remote patient monitoring, and AI-driven diagnostics, which are essential to modernizing healthcare delivery. The distributed nature of cloud services reduces infrastructure costs, improves accessibility, and ensures business continuity during critical situations. However, challenges such as data security, integration with legacy systems, and the need for standardized healthcare data models remain significant. This article explores the role and significance of cloud-native applications in healthcare IT, focusing on their architecture, benefits, challenges, and future prospects in transforming healthcare systems worldwide.
Smart Libraries Of The Future Role Of Artificial Intelligence In Enhancing User Engagement
Authors: Dr. Vinod Kumar
Abstract: The modern library is undergoing a profound transformation, evolving from a passive repository of information into an intelligent, user-centric hub known as the smart library. This paper investigates the pivotal role of Artificial Intelligence (AI) in driving this evolution, specifically focusing on its capacity to significantly enhance user engagement. Through a comprehensive methodology combining a systematic literature review and analysis of real-world case studies, this research argues that AI is the foundational technology that enables libraries to move beyond traditional, transactional services to create deeply personalized, proactive, and interactive experiences. The analysis demonstrates key findings: AI-powered tools like intelligent recommendation engines, conversational chatbots, and personalized learning pathways directly foster engagement by delivering relevant content, providing instant support, and creating dynamic educational experiences. However, the integration of AI is not without its challenges. The paper critically examines the ethical imperatives of data privacy, algorithmic bias, and the digital divide, arguing that a human-centered approach is essential. It concludes that the future of library services hinges on a synergistic model where AI handles analytical and automated tasks, thereby empowering librarians to focus on complex, human-centric interactions. The successful smart library will be one that strategically leverages AI to not only attract users but to create a deeply engaging and equitable community of lifelong learners.