Volume 13 | Issue 5 |

 Abstract

ICT is regarded as the backbone of entire teaching learning process in 21st century. Learning Management System is a software application or web-based technology used to plan, implement and assess a specific learning process. The main objective of the study is to explore the usability of Google Classroom Learning Management System in Higher Education. The present study was conducted on Post Graduate Students of U. N. (Autonomous) College of Sc & Tech., Adaspur. The study was conducted by following Survey Method, in which a sample of 241 students were selected through convenience sampling. Self -developed tool was used for data collection. The findings of the study highlight that students of aided higher education institutions possess positive perception on LMS tools and their usability. So, LMS has significant implications for enhancing the potentialities of the learners.

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 Keywords

Learning Management System (LMS), Usability, Google Classroom, ICT, Higher Education

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The global medical supply chain, a vital network connecting manufacturers to patients, frequently suffers from significant operational inefficiencies that undermine its effectiveness and increase costs. Pervasive opacity makes tracking products difficult, leading to uncertainty about provenance and storage conditions. This lack of visibility contributes to costly delays in delivering critical medications and equipment, potentially impacting patient care. Furthermore, the system's vulnerabilities create opportunities for counterfeit or substandard products to infiltrate the supply chain, posing a severe risk to public health and eroding trust among stakeholders. This abstract explores the transformative potential of leveraging smart contract technology, operating on a secure blockchain foundation, to fundamentally address these persistent challenges. Smart contracts, as self-executing agreements with predefined rules encoded onto an immutable distributed ledger, offer a powerful mechanism for change. By automating key processes such as order fulfilment, payment settlement upon verified delivery, and compliance checks, they can drastically reduce manual overhead, minimize human error, and accelerate transaction times. The inherent transparency of the underlying blockchain ensures that all authorized participants have access to a shared, real-time, and tamper-proof record of events, enhancing traceability and accountability. The immutability guarantees data integrity, making it significantly harder to introduce counterfeit goods or manipulate records. Consequently, smart contracts present a compelling solution for enhancing the overall efficiency, bolstering security, and increasing the reliability of medical supply chains. Implementing this technology promises substantial benefits for patients, healthcare providers, and the entire healthcare ecosystem by fostering a more trustworthy and streamlined flow of essential medical goods.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart contracts, Medical supply chain, Supply chain efficiency, Healthcare, Transparency, Security, Counterfeit products, Traceability, Automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Telemedicine has emerged as a transformative tool in pediatric healthcare, particularly in the wake of the COVID-19 pandemic, which accelerated its adoption. This review explores the impact, benefits, and challenges of telemedicine in pediatric care, focusing on its role in improving accessibility, reducing healthcare disparities, and providing timely intervention. We examine the evidence supporting its effectiveness in managing a range of pediatric conditions, including chronic illnesses, mental health concerns, and routine checkups. Additionally, the article discusses the barriers to widespread adoption, such as technological, regulatory, and financial challenges, and presents recommendations for enhancing telemedicine integration in pediatric care settings. Finally, we explore the future of telemedicine in pediatrics, including innovations in AI, virtual reality, and mobile health apps.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Telemedicine, Pediatrics, Healthcare Access, Chronic Illness, Mental Health, Telehealth, Virtual Care, Pediatric Telemedicine, Health Equity, COVID-19

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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

 Keywords

Effectiveness, Knowledge, Attitude, Structured teaching program, Elderly, Geriatric care, Undergraduate students, College

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Myocardial infarction (MI) remains one of the leading causes of mortality worldwide.. In this study, we present an automated deep learning-based approach for MI detection using the PTB-XL ECG dataset. The raw ECG signals were first processed using the Hilbert Transform to emphasize the analytic components and enhance signal representation. Subsequently, the transformed signals were converted into time-frequency spectrograms, allowing the exploitation of both spectral and temporal information. To classify, we developed and trained a deep convolutional neural network incorporating Residual Networks (ResNet) architecture, which addresses the vanishing gradient problem . The model achieved promising results, with high accuracy, sensitivity, specificity, F1-score, and AUC, indicating its potential for reliable MI detection. This work demonstrates the value of combining advanced signal processing techniques with deep learning for automated cardiac diagnosis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Component, formatting, style, styling, insert.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With a focus on the disparate legal systems and enforcement strategies of the US and India this study tackles the pervasive problem of digital piracy and unauthorized content use. The study attempts to determine the most common types of piracy analyse cross-border jurisdictional issues assess the economic and creative effects on rights holders and evaluate technological enablers. In addition to case law official documents and scholarly literature the study uses a comparative doctrinal legal research methodology to analyse key statutes like the US Copyright Act (1976) the Digital Millennium Copyright Act the No Electronic Theft Act and India's Copyright Act (1957). Results show that peer-to-peer networks streaming services and virtual private networks (VPNs) have all contributed to the explosive growth of piracy making enforcement more difficult in both nations. Stronger laws and more lucid court rulings benefit the US and help to ensure comparatively more effective anti-piracy enforcement. Due to a lack of resources, a lack of public awareness and changing digital markets India faces substantial enforcement challenges. Piracy also puts consumers cyber security at risk and the usual outcomes include financial losses and a reduction in incentives for innovation. Moreover, jurisdictional complications and cross-border violations impede efficient legal responses. To lessen the effects of piracy the study emphasises the necessity of flexible forward-thinking legal frameworks improved international collaboration technological innovation in law enforcement and expanded public awareness campaigns. It ends with policy recommendations that emphasise cooperation between government's industry stakeholders and international actors to protect intellectual property rights in a globalised world with a focus on bolstering copyright protection in the digital age.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital piracy,Unauthorized content use,Copyright protection,Online Piracy,Technological Advancements

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Creative Commons Attribution 4.0 and The Open Definition

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This Research paper offers a thorough examination of the various issues related to preserving dignity in the context of aging. It provides an exhaustive examination of the challenges faced by the elderly, investigates possible remedies, and advocates for society intervention to guarantee dignified aging. It examines several dimensions of dignity, encompassing philosophical, legal, social, economic, and personal elements

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Senior Citizen, Old Age, Dignified Existence, Elderly Folks, And Senior Citizens

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid proliferation of digital technology has transformed the marketing landscape, Enabling businesses to connect with consumers more effectively. Digital marketing communication has emerged as a crucial strategy for companies to reach and engage with their target customers. The Indian mobile market, particularly in Karnataka, has witnessed unprecedented growth, driven by increasing internet penetration, affordability and the rising popularity of social media. Mobile phones have become an indispensable part of modern life, with Karnataka being one of the leading states in terms of mobile density. As mobile manufacturers and service providers vie for consumer attention, understanding the impact of digital marketing communication on consumer purchasing intentions has become vital. Despite the growing importance of digital marketing, this study aims to bridge this knowledge gap by investigating the relationship between digital marketing communication and consumer purchasing intentions for mobiles in Karnataka.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Marketing communication,Youtube,Fcaebook, Instagram, purchase intentions, Buying behaviour

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project offers a comprehensive system that integrates AI-driven speech disorder diagnosis and treatment with gamified language learning. With its entertaining games, adaptive material, and real-time feedback, it improves language learning and speech rehabilitation for young learners and people with speech impairments. Through interactive rewards, the language module improves conversational skills, grammar, and vocabulary. The speech module provides individualized exercises and uses machine learning algorithms and voice-to-text APIs to identify conditions like dysarthria and stuttering with 88-92% accuracy. The system, which was developed using Django and features like DeepSpeech and Whisper API, guarantees both therapeutic help and educational value. It is appropriate for both academic and clinical application because to its high user engagement and diagnostic efficacy.

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 Keywords

-Language Learning modules, Real time translation, Voice Signals,Intelligent Systems,Speech Disorder Diagonosis, Machine learning, Speech to Text translation,Support Vector Machines, Speech Features.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing has revolutionized modern IT infrastructure, yet it remains vulnerable to threats like unauthorized access, data breaches, and advanced persistent threats (APTs). Traditional authentication and encryption techniques are proving inadequate in dynamic threat landscapes. This paper proposes an integrated framework combining Multi-Factor Authentication (MFA), adaptive cryptographic schemes, and AI-based anomaly detection to enhance cloud security. We leverage Kerberos-based identity verification, risk-based authentication, and quantum-safe cryptography (Kyber, NTRU) alongside conventional methods (AES, ECC). A novel AI-driven threat detection system using a CNN-Transformer hybrid model and Federated Learning enables real-time, privacy-preserving intrusion detection. This approach strengthens user access control, ensures data confidentiality, and builds resilience against evolving threats.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Security, Multi-Factor Authentication, Adaptive Cryptography, AI, Federated Learning, Risk-Based Authentication, Zero-Knowledge Proof

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Creative Commons Attribution 4.0 and The Open Definition