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Recent Papers

Review Paper

Nanomaterials in Endodontics: Applications and Scope

Advancements in nanotechnology have led to numerous potential applications in dentistry, with nanomaterials becoming increasingly significant in endodontics.1 Nanosized particles, like clusters of small numbers of atoms or molecules in nanostructured biomaterials, have shown significantly superior properties in biomedical research compared to the same materials at larger scales of measurement.2 These unique mechanical and chemical properties help nanomaterials to have various applications in endodontics such as obturating materials, sealers, antimicrobials, retro-filling materials, root repair and regeneration. The improved antimicrobial property of the nanomaterials is helpful in eradicating bacterial load in the canals which can be incorporated in the form of irrigants and medicaments. Applications in regenerative endodontics are currently underway creating improved scaffolds and growth-factor delivery.2 This review throws insights on the current knowledge and scientific applications of nanomaterials in the field of endodontics as well as its potential future scope.

Published by: Dr. Pradnya V. Bansode, Dr. Seema D. Pathak, Dr. M. B. Wavdhane, Dr. Madhura Dange

Author: Dr. Pradnya V. Bansode

Paper ID: V10I5-1149

Paper Status: published

Published: September 15, 2024

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Research Paper

Modelling the Mass to Light Ratios of High Red-Shift Galaxies

The field of astrophysics is a dynamic and rapidly evolving area of research that seeks to understand the universe's structure, evolution, and fundamental laws governing celestial objects. One of the key areas of interest within astrophysics is the study of galaxy formation and evolution. Galaxies are vast collections of stars, gas, dust, and dark matter held together by gravity, and their formation and evolution processes are crucial for understanding the universe's large-scale structure.

Published by: Arrman Sanganeria

Author: Arrman Sanganeria

Paper ID: V10I4-1223

Paper Status: published

Published: September 11, 2024

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Research Paper

Advancements in the Development of Sustainable (Textile) Materials and their Recycling Methods

Due to inadequate recycling systems and the complex nature of textile products, each year, millions of tonnes of textile waste end up in landfills or are incinerated globally. This paper seeks to highlight the advancements in sustainability for textile materials, focusing on cotton and polyester, and analyse their respective recycling methods to identify strategies for reducing the annual production of textile waste. Environmental issues raised by textile materials are also considered, such as the non-biodegradability of polyester and the large amount of freshwater used in cotton production. This study examines innovative materials that can substitute traditional fibres, such as organic cotton and bio-based polyesters, highlighting their role in reducing the environmental impact of textile production. Additionally, the paper evaluates various recycling methods for these fibres and their effectiveness in managing textile waste. It was analysed that there has been a fivefold increase in publications of textile recycling from 2011 to 2021, reflecting rising global interest and progress. The trend towards sustainable fashion, embraced by many brands, highlights an increase in customer demand for eco- friendly choices and aims to minimise the industry’s environmental impact. Conclusively, further research must optimise technology to develop new sustainable materials while simultaneously maintaining an affordable price to encourage the purchase of these products among consumers.

Published by: Reya Sanjay Kamdar Pande

Author: Reya Sanjay Kamdar Pande

Paper ID: V10I5-1170

Paper Status: published

Published: September 11, 2024

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Research Paper

AI and IoT-Driven Automatic Abdominal Retractor System: Revolutionizing Surgical Techniques

In this paper, an AI and IoT-driven automatic abdominal retractor system designed to enhance surgical precision and efficiency by maintaining consistent retraction forces and intelligently guiding surgical procedures through real-time data from a webcam-based AI tool. Traditional abdominal retractors, manually operated by surgical assistants, often lead to variability in retraction force and increased surgical risks. The proposed system automates this process, ensuring uniform and precise retraction, while also assisting the surgeon in determining the optimal incision points during surgery. The system incorporates a high-definition webcam that continuously monitors the surgical field, utilizing advanced AI-driven image processing to analyze the live video feed. The AI tool identifies key anatomical landmarks and pinpoints the exact location where the surgeon needs to operate, providing real-time feedback and guidance. This allows surgeons to make more accurate decisions, improving both efficiency and patient outcomes. The information is relayed via an IoT-based interface, enabling real-time adjustments and coordination between the retractor’s movements and the surgeon’s actions. The retractor mechanism operates along three axes—front-back, up-down, and open-close—controlled by a Node MCU IoT device, STM32 microcontroller, and motor driver circuits. The system is powered either by a battery or a standard power supply, ensuring operational flexibility in various clinical settings. Additionally, the IoT connectivity enables remote monitoring and control, allowing for adjustments in real-time as needed. This innovative approach has the potential to revolutionize surgical procedures by integrating automation and AI, ultimately improving the accuracy, safety, and outcomes of surgeries.

Published by: Pravin Mohite

Author: Pravin Mohite

Paper ID: V10I5-1163

Paper Status: published

Published: September 9, 2024

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Research Paper

Impact of Academic Stress on Daytime Sleepiness of Adolescents (10th to 12th Grade)

For school going adolescents, academic stress has become a major source for their stress levels and this inevitably impacts their health. One of the important biologically necessary aspect which is impacted is sleep. Disturbed sleep patterns are often observed in students with academic stress. Hence this paper used ESS-CHAD and PSS testing techniques to determine the relationship between daytime sleepiness and academic stress. The study hypothesises a positive correlation between the two variables. A cohort of 33 students were surveyed based on the tests mentioned above. The results indeed found a positive correlation between the two variables. Hence, the study concluded that academic stress must be abated in order to reduce its negative impacts on adolescents and to maintain their health.

Published by: Urvi

Author: Urvi

Paper ID: V10I5-1154

Paper Status: published

Published: September 7, 2024

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Review Paper

Use and Relevance of Artificial Intelligence (AI) in Ayurveda

Integrating Artificial Intelligence (AI) in Ayurveda presents a transformative approach to enhancing traditional medical practices. AI's data analysis and machine learning capabilities can optimize Ayurvedic diagnosis, treatment personalization, and predictive healthcare. By leveraging AI algorithms, Ayurveda can analyze vast patient data to identify patterns, recommend therapies, and forecast health outcomes, thus improving precision and effectiveness. Additionally, AI aids in digitizing ancient texts, making Ayurvedic knowledge more accessible. The relevance of AI in Ayurveda lies in its potential to modernize and expand the reach of this ancient science while maintaining its holistic approach to health and wellness. This article explores the current applications of AI in Ayurveda, evaluating its impact and potential for the future of holistic healthcare.

Published by: Dr. Anil Kumar Sen, Dr. Sakshi Sen, Dr. Lajwanti Keswani, Dr. Rajesh Kumar Malviya, Dr. Salil Kumar Jain, Dr. Pawan Kumar Kirar

Author: Dr. Anil Kumar Sen

Paper ID: V10I4-1245

Paper Status: published

Published: September 5, 2024

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