Manuscripts

Recent Papers

Review Paper

Digital Health Interventions for Breastfeeding Support: Evidence, Implementation Gaps, and The Next Generation of Equitable Lactation Care

Breastfeeding is a high-impact maternal and child health intervention, yet global exclusive breastfeeding remains at 48% among infants younger than six months, below the 60% World Health Assembly target for 2030. At the same time, the period after hospital discharge is characterized by fragmented access to skilled lactation support, creating a strong rationale for digital health interventions (DHIs). This narrative evidence review synthesizes recent evidence on mobile health (mHealth), smartphone applications, short-message services, social media and peer-support platforms, telelactation, and hybrid digital-professional models. Particular emphasis is placed on randomized evidence and on the implications for low- and middle-income countries (LMICs). A 2026 systematic review and meta-analysis of 46 randomized or cluster-randomized trials involving 33,785 participants across 18 countries found that DHIs increased the odds of exclusive breastfeeding (OR 2.58, 95% CI 1.91–3.50; 39 trials; n=11,601), although heterogeneity was substantial (I²=83%) and certainty was very low. Breastfeeding duration showed a moderate standardized benefit (SMD 0.48, 95% CI 0.29–0.67), while any breastfeeding was not significantly improved (OR 1.09, 95% CI 0.90–1.31). Evidence suggests that digitally enabled support is most useful when it is timely, interactive, tailored, and linked to trained personnel rather than functioning as a stand-alone information repository. However, evidence on cost-effectiveness, safety, digital exclusion, implementation fidelity, and long-term scale-up remains sparse. This review argues that the next phase of digital breastfeeding support should shift from asking whether digital tools work to determining which components work, for whom, at what postpartum moment, and under what health-system conditions. Hybrid, equity-sensitive models integrated with routine maternal and newborn care appear the most defensible direction for policy and research.

Published by: Dr. Arushi Mishra

Author: Dr. Arushi Mishra

Paper ID: V12I5-1148

Paper Status: published

Published: September 20, 2026

Full Details
Research Paper

Japanese Expansion in East Asia and Its Historical Legacy

The paper focuses on how japan emerged as a dominant power in the region following commodore perry arrival and meiji restoration through the world wars and the impact it has in the contemporay world.

Published by: Sujeet Shenbagakumar

Author: Sujeet Shenbagakumar

Paper ID: V12I5-1144

Paper Status: published

Published: September 20, 2026

Full Details
Research Paper

Artificial Intelligence in Higher Education: Opportunities, Challenges and its Impact on Teaching and Learning

Artificial Intelligence (AI) has emerged as a transformative technology in higher education, offering new opportunities to enhance teaching, learning, assessment, research, and academic activities. This study examines the awareness and utilisation of AI tools among faculty members and identifies their perceived benefits, challenges, and impact on teaching and learning effectiveness. The study adopts a descriptive and analytical research design and collects primary data from 100 faculty members selected through simple random sampling. Data are collected using a structured questionnaire and analysed through simple percentage analysis, Chi-square test, and regression analysis. The findings indicate that faculty members recognise the potential of AI to improve teaching efficiency, content preparation, personalised learning, assessment, and academic productivity. The Chi-square analysis reveals significant associations between AI utilisation and selected demographic and institutional factors, particularly AI training. Regression analysis demonstrates a positive and significant influence of AI utilisation on perceived teaching and learning effectiveness. However, concerns related to academic integrity, misinformation, privacy, ethical use, and inadequate training remain important challenges. The study concludes that systematic AI training, institutional support, and appropriate ethical guidelines are essential for effective and responsible AI integration in higher education.

Published by: Dr. D. Rajasekaran

Author: Dr. D. Rajasekaran

Paper ID: V12I5-1138

Paper Status: published

Published: September 8, 2026

Full Details
Review Paper

The Golden Ratio, Fibonacci Sequences, and the Brain: Do Neural Oscillations Follow Mathematical Harmony to Shape Perception and Memory?

The golden ratio (φ) and the Fibonacci sequence are mathematical patterns that appear in all biological systems, whether it be cardiac systems or plants. This review examines whether the human brain’s oscillatory systems follow similar mathematical properties. Neural oscillations are organized into discrete frequency bands (delta, theta, alpha, beta and gamma), and the ratios between them have been said to follow the golden ratio scaling. This review evaluates the evidence across three contexts - spectral organization, cross frequency coupling, and cognitive function (memory and perception). The strongest evidence has come from the memory domain, where hippocampal theta-gamma phase amplitude coupling during successful memory encoding often approaches the golden ratio. On the other hand, sleep dependent memory consolidation shows Fibonacci-like patterns. Despite these findings, there are a lot of important limitations that are still there. The brain naturally produces 1/f background activity, making it difficult to know whether these φ like patterns are meaningful or happening by chance. Scientists also do not know of any biological mechanism that would cause brain cells to organize their activity around φ. In addition, studies looking at φ in perception have produced mixed results. Overall, whether the idea that the brain is organized around the golden ratio is interesting and supported by some evidence, it has not been proven yet. Even so, this research has helped scientists better understand how the brain waves interact and how the brain processes and stores memories.

Published by: Naisha Dalal

Author: Naisha Dalal

Paper ID: V12I4-1217

Paper Status: published

Published: September 8, 2026

Full Details
Research Paper

Smart Talking Glove for the Speech Impaired

The Smart Talking Glove for the Speech Impaired is an assistive device made to help enhance communication for people in need by providing an intensive gesture-based interface. The system captures hand movements or gestures using flex sensors fixed on the fingers of the glove and a motion sensing unit to capture hand orientation. This enables recognition of the predefined gestures or signs. These sensor signals are processed by an ESP32 microcontroller, which is the core processing and communication unit. Using ESP32’s built-in Wi-Fi, the recognized data is transmitted to the Blynk IoT platform, where it is displayed as text and at the same time converted into audible speech. Speech generation is done by integrating the Google Textto-Speech (TTS) API, allowing real time speech synthesis using the Blynk IoT application. This system emphasizes portability, comparatively low cost, and user’s comfort, making it suitable for everyday use. Experimentation results show reliable performance with high accuracy, minimal latency, and rechargeable battery with prolonged operational life. The Smart Talking Glove also offers scalability, with scope for future enhancements like multilingual support, customizable gestures, Artificial Intelligence/Machine Learning based gesture recognition, and offline operation. Beyond assistive communication, the system shows strong potential for applications in gesture controlled robotics, smart home automation, virtual reality interfaces, and industrial control, highlighting its versatility as both an accessibility solution and an innovative human machine interaction tool.

Published by: Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate

Author: Khushi Mahule

Paper ID: V12I4-1216

Paper Status: published

Published: September 4, 2026

Full Details
Research Paper

Sustainable Rural Development in India: Lessons from the Unnat Bharat Abhiyan Programme in Mudikandam Village, Tiruchirappalli, Tamil Nadu

The Unnat Bharat Abhiyan (UBA) is an initiative by the Government of India that fosters collaborations between Higher Educational Institutions (HEIs) and rural communities to promote holistic rural development. The present study was conducted to examine the waste collection system, sources of water, sanitation system, source of energy and power, landholding information, agricultural inputs, agricultural production in a year, live stock numbers and major problems persisting in Mudikandam village, Trichy, Tamil Nadu, a constituent state of India. Insights were drawn from a survey by UBA coordinators from Indra Ganesan College of Engineering, Trichy to enhance rural development of v0illage. The findings reveal that the major problems persisting are lack of street lights, hospital, regular buses, plastic recycling, school, cow shelter. The implementation methodology includes a new scheme named Gramasabha meeting was aimed to engage with the local community, understand their needs and discuss ongoing development activities, Solar Street Light Installation Programme programme was organized with the objective of promoting rural development and encouraging the use of sustainable and renewable energy sources and 250 cloth bags were distributed to the public to promote environmental awareness.

Published by: D. Suresh, M. Anusuya, G. Balakrishnan, M. Joseph Salethraj

Author: D. Suresh

Paper ID: V12I4-1208

Paper Status: published

Published: September 3, 2026

Full Details