Volume 13 | Issue 4 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Graham Swift's Waterland and John Fowles' The French Lieutenant's Woman, deliberately embrace the idea of history while also challenging historical comprehension, critics have praised both works as exceptional examples of historiographic metafiction. According to Hayden White, every narrativized history is relative, and the historian is inherently impositional. In line with White, Linda Hutcheon describes postmodern historical fiction as the kind of fiction that paradoxically and self-reflexively uses the idea of history while also rejecting its veracity. In light of White and Hutcheon's theories, this paper aims to analyze, compare, and contrast Graham Swift's Waterland and John Fowles' The French Lieutenant's Woman to demonstrate how, despite the problematic nature of the idea of reclaiming the past as it truly was, these novels approach the concept of history in different ways.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Postmodern historiography, historiographic metafiction, subversion, self-reflexivity.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of drug discovery and drug delivery is no exception. This review article aims to provide an overview of the applications of AI in drug discovery and delivery and explore its future prospects. The article begins by introducing the fundamental concepts of AI. Furthermore, the article discusses the AI-powered software or tools including for drug discovery, in nanotechnology and in drug formulation and delivery. Finally, the article presents the future prospects of AI in drug discovery and drug delivery systems.

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Creative Commons Attribution 4.0 and The Open Definition

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AI in drug discovery, AI in drug delivery systems, and AI-powered software or tools.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To making herbal powder shampoo

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Creative Commons Attribution 4.0 and The Open Definition

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2

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Creative Commons Attribution 4.0 and The Open Definition

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The Digital Gram Panchayat streamlines rural governance by providing an accessible online platform for administrative services. It enables villagers to apply for certificates, pay taxes, and stay informed about government schemes, fostering transparency and efficiency. The system enhances citizen engagement, reduces bureaucratic delays, and ensures real-time tracking of applications, ultimately empowering rural communities with seamless digital governance.

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Creative Commons Attribution 4.0 and The Open Definition

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Digital Governance, Gram Panchayat, E-Governance, Rural Development, Online Public Services, Citizen Engagement, Tax Payment, Digital Administration

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the intersection of cybersecurity and international relations, specifically through the lens of the 2007 cyber attack on Estonia. The study investigates how the attack marked a critical point in understanding the role of threats in global politics and security.By examining the attack's causes, impacts, and responses , this paper illustrates the emerging significance of cybersecurity as a component of statecraft and international diplomacy.

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o Cybersecurity o Cyber Warfare o Cyber Threats o Estonia Cyberattack 2007 o International Relations o Cyber Defense o Distributed Denial of Service (DDoS) o NATO Cyber Policy o Tallinn Manual o Sovereignty in Cyberspace

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper is basically consists of study of gait pattern characteristics of varying height in male and female

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Creative Commons Attribution 4.0 and The Open Definition

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Gait pattern characteristics step length step width

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Creative Commons Attribution 4.0 and The Open Definition

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Plagiarism is becoming a greater issue in academics and digital publications because it is so simple to get and reproduce content online. Traditional methods of detecting plagiarism, like manual comparison and keyword matching, are usually time-consuming and unreliable. An effective machine learning-based method for identifying plagiarism in text data is presented in this research. The system use Natural Language Processing techniques to extract features and eliminate noise from text using Term Frequency-Inverse Document Frequency vectorisation. A Logistic Regression classifier is then trained to distinguish between content that has been plagiarised and that has not using tagged text samples. The model achieves high accuracy, demonstrating effective categorization performance. A web-based interface created with Flask is also part of the project, which makes it simple for users to upload and check content for plagiarism. With potential uses in publishing, content management systems, and educational institutions, this automated technology provides a scalable, accurate, and user-friendly approach to plagiarism detection.

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Creative Commons Attribution 4.0 and The Open Definition

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Plagiarism Detection, Machine Learning, TF-IDF, Support Vector Classifier, Flask Application

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Creative Commons Attribution 4.0 and The Open Definition

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In today's fast-paced world, accessing timely medical care can be challenging due to long wait times, scheduling difficulties, and a lack of proper guidance. The Doctor Appointment System addresses these issues by integrating AI and machine learning to create a more efficient and accessible healthcare experience. It ensures secure access with OTP-based authentication, preventing unauthorized logins. A machine learning-powered disease prediction model helps patients analyze symptoms and gain preliminary insights before consulting a doctor, while an AI-driven chatbot provides instant assistance, answering queries and guiding users through the appointment process. To enhance convenience, the system includes a Nearby Hospital Locator, allowing users to search for hospitals based on their city. An admin-controlled scheduling system manages appointments efficiently, enabling administrators to approve or reject requests based on doctor availability while maintaining a specialist patient limit to avoid overbooking. Additionally, a feedback system allows users to report issues and provide input for continuous improvements. By integrating secure authentication, AI-driven assistance, predictive analytics, and location-based hospital search, this system enhances accessibility, reduces waiting times, and ensures a smooth and organized appointment booking process for both patients and healthcare providers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The Doctor Appointment System, Patient Module, Doctor Module, Administrator Module, Disease Classification Algorithm, Machine Learning, RASA Chatbot, Appointment Management, Doctor Recommendation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research undertakes a comprehensive investigation into the social security experiences of retired employees, encompassing a detailed examination of their demographics, social security usage, and challenges encountered. Additionally, it conducts an assessment of government-provided schemes aimed at promoting elderly welfare, alongside a comparative analysis of social security systems in less developed countries. Employing a mixed-methods approach, this study seeks to identify key areas for improvement and inform policy recommendations designed to enhance the overall well-being of retired employees.

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Creative Commons Attribution 4.0 and The Open Definition

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retired employees, social security, elderly welfare, government initiatives, comparative analysis.

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Creative Commons Attribution 4.0 and The Open Definition