Volume 14 | Issue 5 |

 Abstract

The rapid development of artificial intelligence has led in the creation of manipulated digital media, referred to as "deepfakes," which pose major challenges to cybersecurity, public trust, and information authenticity. In today's digital environment, detecting these highly realistic synthetic images and videos is critical since they can be used maliciously for identity impersonation, misinformation, and other purposes. This research proposes a deep learning method that employs convolutional neural networks (CNNs) to detect corrupted media. By detecting microscopic imperfections that are difficult to detect by hand, the system is designed to accurately evaluate images, videos, and audios. Real-time media analysis and effective user interaction are made possible by a combination of a high-performance backend driven by FastAPI with an accessible web frontend created with React. The model uses transfer learning based on the ResNet architecture to improve detection performance, which enables it to extract complex visual features and achieve high classification accuracy even with a limited amount of training data. To increase robustness and generalization, preprocessing methods like normalization, expanding, and data augmentation are also used. Users can submit media files and get immediate predictions on their accuracy because to the scalable and user-friendly suggested architecture. The system consistently distinguishes between authentic and altered content, according to experimental results. All things considered, the framework offers a quick, automated, and efficient media verification solution that significantly reduces the need for manual inspection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deepfake Detection, Convolutional Neural Networks (CNN), Transfer Learning, ResNet, Media Authentication, Image and Video Forensics, Artificial Intelligence, FastAPI, React

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) is no longer a peripheral innovation in higher education; it is rapidly becoming part of everyday teaching, learning, and academic decision-making. From generative AI tools that assist students in writing and problem-solving to algorithmic systems that shape assessment and institutional governance, AI is reshaping how knowledge is produced and evaluated. While these developments offer genuine opportunities to enhance learning and inclusion, they also raise pressing questions about human agency, ethical responsibility, and the future role of educators and students. This paper argues that higher education must move beyond viewing AI as a purely technical solution and instead approach it as a socio-ethical challenge. Drawing on interdisciplinary research and global policy frameworks, the paper proposes a human-centered reframing of AI integration--one that preserves human judgment, strengthens ethical accountability, and aligns technological innovation with education's public mission.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence; Higher Education; Human Agency; Ethical Responsibility; Generative AI; Human-Centered AI; Ethical Accountability; Educational Innovation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Method development, Validation, Lobeglitazone, spectroscopy, green analytical approach

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Vedas serve as the ancient foundational source of cosmic truth, with Ayurveda emerging as a vital Upaveda of the Atharvaveda. To understand the origins of Ayurveda, this study explores two primary conceptual frameworks: the mythological narrative presented in the Vishnu Purana and the Ayurveda Avatarana as described in the classical Ayurveda Samhitas. Rather than viewing these accounts as mere folklore, this article analyses the scientific rationality embedded within their characters and events. By evaluative symbolic elements such as Samudra, Manthana, and Kurma etc from the Puranic tradition alongside the historical-symbolic roles of Indra, Bharadwaja, and the Ashwini Kumaras etc from the Samhitas, the research reveals a systematic logic of medical evolution. The study concludes that these narratives are not merely stories but represent a structured scientific basis for the emergence of Ayurvedic knowledge. Hence in the present work the effort is made to interpret the evolution of Ayurveda by comparing with Samudra Manthana and Ayurveda Avatarana.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Samudra, Manthana, Ayurveda Avatarana, Upaveda, Bharadwaja, Indra, Amrutha.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is a One Group pre test Post Test Design there were the assessment of knowledge and practice of female health workers in relation to aspects of reproductive and child health programme at selected rural areas of tikota, vijayapur the sample size of the study was 100 female health workers. a socio demographic data Knowledge questionnaire was used to collect data the content validity and reliability of instrument was established and piloted on 20 female health workers before the main study the ethical approval to undertaken the study was granted prior to pilot study The results suggest that although female health workers are actively involved in some field-level activities, there are significant gaps in essential practices, particularly in health education, record maintenance, and promotion of maternal and child health services shows the distribution of female health workers according to their age. The majority of the participants belonged to the age group of 20-30 years (37%), followed by 31-40 years (34%). A smaller proportion of respondents were in the age group of 41-50 years (15%) and above 50 years (14%). the distribution of female health workers according to their educational level. Half of the respondents (50%) had completed B.Sc Nursing, followed by 31% who were GNM qualified and 19% who were ANM qualified.This indicates that the majority of the female health workers had higher educational qualifications, which may influence their knowledge and practice regarding the RCH programme

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge,Assessment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Work-related musculoskeletal disorders (WRMSDs) are a major occupational health concern affecting the upper limb, particularly the shoulder region, due to repetitive movements, poor posture, and prolonged static positions. Scapular dysfunction plays a significant role in the development of these conditions. Although rehabilitation exercises are commonly used, there is a lack of standardized protocols that integrate structured exercise prescription with ergonomic assessment. The FITT principle (Frequency, Intensity, Time, and Type) offers a systematic framework for designing effective rehabilitation programs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Randomized Controlled Trial on FITT-Based Scapular Rehabilitation and Its Influence on Work-Related Musculoskeletal Risk Scores

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in modern manufacturing industries. This research paper examines the role of AI in enhancing decision-making processes across production planning, quality control, cost optimization, and supply chain management. The study focuses on how data-driven AI models reduce human effort, improve accuracy, and enable faster operational decisions. A qualitative and analytical research methodology is adopted using secondary data from journals, industry reports, and case studies. The findings indicate that AI significantly improves efficiency, reduces operational costs, and enhances overall manufacturing performance. The paper concludes by highlighting future opportunities and challenges in adopting AI-driven decision-making systems. Keywords: Artificial Intelligence, Manufacturing Industry, Decision-Making, Automation, Industry 4.0

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Manufacturing Industry, Decision-Making, Automation, Industry 4.0, Data Analytics, Smart Manufacturing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Service centers are crucial to the economic development of any region. Service centers are those locations that provide goods and services to the surrounding areas. Every service centre depends on its surrounding urban and rural regions and serves them accordingly. These centers primarily focus on providing services to consumers and attracting production and distribution within their area of influence. Service centers are not limited to urban areas; rural settlements can also become service centers by offering services to nearby regions. Every service centre has access to transportation, which helps connect rural areas and facilitates the movement of goods produced in villages to central markets. Central centers also provide employment and training opportunities for rural youth. Service centers offer a variety of services similar to other centers. The more and higher-level functions a service centre performs, the by O. P. Singh (1968), M. S. Singh (1970), G. K. Mishra (1977), A. N. Singh (1979), and A. C. Tiwari (1980).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service centers, economic development. urban and rural regions, settlements, markets. Identification, functions, planning, service centers functions, centrality, provide various, micro, climatic, villages,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research examines love and interpersonal relationships as a dialectical force in George Orwell's Nineteen Eighty-Four, Aldous Huxley's Brave New World, and Ray Bradbury's Fahrenheit 451. In these dystopian narratives, love functions both as an institutionalized mechanism of manipulation and as a form of resistance against authoritarian control. The study argues that these texts move beyond representing socio-political crises and instead expose how power extends into the personal sphere by regulating emotions, consciousness, relationships, and individuality. The research draws upon Louis Althusser's theory of Ideology and Ideological State Apparatuses, Michel Foucault's concepts of biopower and biopolitics, Erich Fromm's The Art of Loving, and bell hooks' All About Love. These theoretical frameworks are used to examine how authoritarian systems discipline individuals through ideological conditioning, surveillance, emotional regulation, and consumerist control. At the same time, the study explores how emotional awareness, intimacy, and human connection create possibilities for resistance. Using close textual, comparative, and discourse analysis, the paper examines Winston Smith's growing political awareness through intimacy in Nineteen Eighty-Four; Guy Montag's intellectual awakening through interpersonal connection and collective care in Fahrenheit 451; and John the Savage's failed search for authentic love and individuality within the consumerist structure of Brave New World. The research argues that these narratives position love not as a private emotion alone, but as a political and human act that allows individuals to reclaim identity and resist ideological domination.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Love, interpersonal relationships, biopower, ideological control, dystopia, resistance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda, an ancient Indian medical system focused on holistic well-being, faces the challenge of integrating its foundational principles into contemporary healthcare, while adapting to modern scientific paradigms. This paper addresses the critical need for an updated educational framework to preserve traditional knowledge and enhance Ayurveda's integration into the broader healthcare landscape. This review synthesizes information on recent policy changes, curriculum updates, and pedagogical innovations in Ayurvedic education. It assesses their impact on standardizing and modernizing the training of Ayurvedic practitioners through a qualitative framework, informed by the direct observations and experiences of teaching faculties involved in the National Commission for Indian System of Medicine (NCISM) curriculum implementation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ayurveda, competency-based education, curriculum reform

  License

Creative Commons Attribution 4.0 and The Open Definition