Volume 13 | Issue 3 |

 Abstract

Cervical spondylosis is a general term for age related wear and tear affecting the spinal disks in your neck. As the disks dehydrate and shrink, signs of osteoarthritis develop including bony projections along the edges of bones [bone spurs]. Cervical spondylosis is very common and worsens with the age. More than 85% of people older than age of 50 years are affected by cervical sopndylosis. Young generation is also facing the problem of cervical spondylosis due to over use of computers and mobiles, and other electronic gadgets. For most people, cervical spondylosis causes no symptoms, when symptoms do occur, non-surgical treatments often are effective. In present case study, a diagnosed case of cervical spondylosis, chief complaints were pain and stiffness over the neck since 8 months and pain over the neck was radiating towards the right arm. In treatment externally manyabasti and patyra pottali swedan was given and during this procedure, ayurvedic medicines also given. There is a complete relief in the parameters like neck and stiffness whereas the parameters like pain in arm and vertigo has also shown significant improvement.

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 Keywords

Ayurveda, Manyastambha, Manyabasti, Cervical spondylosis.

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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

Web API , Open API Documentation, Natural language processing ,Natural languag

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Creative Commons Attribution 4.0 and The Open Definition

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The rise of Data Analytics, alongside Machine Learning (ML) and Deep Learning (DL) in big data is rendering profound differences in the fields of healthcare applications, including predictive analytics, computer analysis of medical images, drug discovery, personalized medicine and EHR analysis. This new technology creates new research opportunities and improves decision-making and patient outcomes. But capturing this massive and unstructured information -- from medical devices and sensors -- presents a huge challenge. Using bibliometric and network analyses, this study investigates research trends in the adoption of ML and DL in healthcare and offers insights for academics, researchers, and healthcare professionals to direct future states of progress.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bibliometric, predictive analytics, patient outcomes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Healthcare AI faces challenges like limited, low-quality data and privacy regulations (HIPAA, GDPR), making data collection and sharing difficult. Synthetic data offers a solution by creating realistic datasets that preserve statistical properties while protecting patient privacy. It helps reduce biases, enables federated learning, enhances rare disease datasets, and improves AI models for diagnosis and public health simulations. Techniques like GANs generate medical imaging and clinical records, but challenges remain in maintaining data integrity and preventing privacy breaches. Despite these challenges, synthetic data continues to drive innovation in healthcare AI, with the FDA approving over 70 AI-based models using this approach.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Synthetic Data, Patient Data Privacy, (GANs), Data Augmentation, Synthetic Patient Profiles, Medical Imaging GANs, Rare Disease Data Simulation, Medical AI Models

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the development of an Adaptive Operating System Framework utilizing Large Language Models (LLMs) for real-time resource management, user personalization, and system security. The study compares traditional operating system models with an adaptive AI-driven approach using predictive and self-optimizing mechanisms. Two models, the Classical Rule-Based OS Management and AI-Driven Adaptive OS Framework, are evaluated for their efficiency in dynamic resource allocation, security enhancements, and user experience improvements. A dataset of system performance metrics, user interaction logs, and security threats from 2019 to 2024 is analyzed using machine learning and statistical modeling.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adaptive OS, LLM, Resource Management, AI Security, User Personalization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Digital surveillance and artificial intelligence (AI) are reshaping governance, commerce, and everyday life. As these technologies proliferate, concerns about their impact on human rights have escalated. This paper examines the intricate relationship between digital surveillance, AI, and human rights erosion. It traces the evolution of surveillance practices, highlights the dual nature of AI as both an enabler and potential threat to civil liberties, and critically evaluates the effectiveness of current legal frameworks. Through an interdisciplinary review of legal, technical, and sociopolitical dimensions, this study identifies key challenges and proposes avenues for mitigating human rights infringements while embracing technological progress.

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 Keywords

Digital Surveillance, Artificial Intelligence, Human Rights

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Creative Commons Attribution 4.0 and The Open Definition

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The study on "A study on factors influencing adaptability and usability of vivo smartphones" aims to analyze customer perceptions regarding vivo smartphone, focusing on factors such as product quality, service efficiency, and after-sales support. Data was collected through structured questionnaires from 124 respondents using a convenience sampling method. The findings reveal that most respondents are satisfied with vivo smartphones,particularly in terms of durability and service. However, areas such as enhancing digital presence and improving service response time require attention. Suggestions include strengthening after-sales services and increasing customer engagement to ensure continued satisfaction and loyalty.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vivo smartphones, satisfaction,battery,usage,5G and AI

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The current study is concerned with the major causes of diversity, extent and nature of workplace diversity programs implemented by these organizations through examination of the awareness and knowledge among the employees and encompasses study of impact of diverse workforce among employees. Therefore, based on the current study, the researcher makes an endeavour to study the current situation of workplace diversity practices of organizations. It seeks to comprehend these practices and organizational as well as employee involvement in diversity policy. It also tries to create awareness that, an organization's human resource department can engage in providing support for an inclusive strategy for forming a concept of diverse workforce.

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 Keywords

Diversity, Workforce, Organizations, Employees, Workplace diversity, Inclusive

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Creative Commons Attribution 4.0 and The Open Definition

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Against the background of growing indoor air pollution concerns, this study introduces the design and implementation of an air cleaning system that incorporates HEPA filtration, water purification, and instant air quality monitoring. The system features a two-stage cleansing mechanism: a HEPA filter filters airborne particulates, while a water vortex treatment mechanism cleanses the air additionally and ensures ideal humidity levels. CO? and CO concentrations are monitored in real time with MQ series gas sensors. When pollutant concentrations surpass set limits, the system will trigger a relay module to shut off high-energy appliances, minimizing emissions and heat production. Sensor data processing and control operations are carried out by the Arduino Nano microcontroller for a fast and energy-efficient indoor space.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Air Purification, Water Filtration, Indoor air Quality, Automation, Water-Based Indoor Quality System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cultural festivals play a significant role in preserving heritage, fostering tourism, and providing immersive experiences for visitors. Hampi Utsava, a renowned cultural festival in Karnataka, India, attracts thousands of visitors annually, offering a unique blend of history, art, and tradition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Visitor Behavior Visitor Satisfaction Cultural Tourism Festival Tourism Tourist Experience

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Creative Commons Attribution 4.0 and The Open Definition