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Exchange Rate Volatility and Its Impact on Bilateral Trade and Economic Stability: A Comparative Analysis of India and China

This paper examines exchange-rate volatility in India and China from 2010–2024 and evaluates its implications for bilateral trade and economic stability. While extensive research exists on exchange-rate dynamics in individual emerging economies, limited comparative analysis has been conducted on the asymmetric volatility between the Indian rupee (INR) and the Chinese yuan (CNY), and its effects on India–China trade relations. Using quarterly data on INR/USD, CNY/USD and INR/CNY exchange rates, combined with GDP, inflation and trade indicators, this study compares volatility patterns and investigates how major global shocks influence the two currencies differently. The analysis shows that India’s flexible exchange-rate regime produces consistently higher volatility, especially during periods of international financial stress, whereas China’s managed-float framework ensures greater currency stability. These asymmetries have tangible economic implications: heightened INR volatility undermines India’s export competitiveness, increases import costs, and contributes to a widening trade deficit, while China’s stable currency environment supports predictable pricing and resilient trade flows. The study concludes that managing exchange-rate volatility is essential for enhancing India’s competitiveness and economic stability in its trade relationship with China.

Published by: Ishanvi Goel

Author: Ishanvi Goel

Paper ID: V11I5-1272

Paper Status: published

Published: November 4, 2025

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Research Paper

Exploring the Future Career Potential of Blender 3D as a Professional Tool

We examine an open source 3D set of tools called Blender, as a powerful tool for concept design and the many ways it can be used as a career, with main uses being through game design, architecture and design for the film industry. This paper also talks about the traditional methods of animation and how Blender has improved them. The unique features of Blender are examined in terms of ease of use and integrated nature, since Blender incorporates a simulation engine and a game engine that can be used creatively in the design process. The unique data structure of Blender is examined with the features and workflow that this structure brings to the design process. Also, a simple comparison is made between Blender and 3D Max in terms of features and workflow as visualisation tools.

Published by: Viraj Ghai

Author: Viraj Ghai

Paper ID: V11I5-1226

Paper Status: published

Published: November 2, 2025

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Research Paper

Insilico Screening of Bioactive Compounds Derived from Catharanthus Roseus against Anticancer Activity

One of the most prevalent diseases in the world is cancer. In order to stop cancer from growing, developing, and spreading, cancer treatments still need to be carefully planned and targeted. Radiation, cellular stress, and cytotoxic medications are some of the triggers that activate the mitochondrial intrinsic apoptotic pathway. Native to the Mediterranean region, Vinca roseus is a blooming perennial plant that is primarily found in the northern hemisphere. They are native to tropical regions in South Asia. There are numerous uses for the Madagascar plant, Catharanthus roseus L. The 3D crystallographic structure of the Anti-cancer receptor (PDB ID-2KCE & 2HBS ) was obtained from the Protein Data Bank and utilized as a protein target for in-silico experiments. Molecular docking was performed using Auto Dock 4 and Auto Dock Vina. A blind docking approach was employed to encompass all possible ligand binding sites. The binding free energy (kcal/mol) was utilized to calculate the binding affinity. This study reveals that Catharanthus roseus, a polyphenolic compound, may possess antioxidant, antibacterial, antifungal,&anticancer activity against the Anti-cancer receptor responsible for cancer disease, as predicted in silico. Molecular docking data suggest that Vincristine(-7.1& -9.5 Kcal/mol) and Vindesine (-9.1 & -10.5 Kcal/mol) have greater activity than Vincristine. They have good Anticancer properties. & The best protein was found to be 2HBS for Anti-cancer activity.

Published by: Rohan Anil Mali, Ranjit Jadhav, Sarika Kumbhar, Anushka Nikam

Author: Rohan Anil Mali

Paper ID: V11I5-1271

Paper Status: published

Published: November 1, 2025

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Research Paper

The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs

This paper proposes an AI-driven marketplace that leverages Natural Language Processing (NLP), Document Intelligence, and Learning-to-Rank (LTR) models to resolve market frictions of discovery, trust, and compliance. NLP structures fragmented product data, while document AI verifies sustainability claims aligned with frameworks like BRSR, EPR, and MSME ZED certification. LTR algorithms prioritise verified green suppliers, incentivising sustainable practices. The platform also ensures inclusivity through cross-lingual conversational agents, fairness audits, and interoperability via ONDC. By enabling verifiable “green matching,” the system supports corporate Scope 3 emission reductions while advancing SDGs. The research demonstrates how AI marketplaces can serve as digital infrastructure for climate resilience and inclusive economic growth in India’s green transition.

Published by: Purab Swarup

Author: Purab Swarup

Paper ID: V11I5-1251

Paper Status: published

Published: October 31, 2025

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Research Paper

Effectiveness of Hand Reflexology upon Pain among Postcaesarean Mothers

Introduction: Caesarean section (C-section) remains a prevalent surgical intervention globally, Postoperative pain is one of the most common therapeutic problems in hospitals. The study aims to evaluate the effectiveness of hand reflexology upon post caesarean pain. Materials and Methods: A quasi-experimental pretest-post-test design was used to achieve objectives. Mothers were selected through total enumerative sampling with a sample size of 70 mothers, among them 35 were assigned to control and interventional group.The researcher collected the data using demographic variable proforma, obstetrical proforma, a Numerical pain rating scale, and a Rating scale to assess the acceptability of Hand reflexology through interview. Results: The study found that all mothers in the control group experienced severe pain before and after therapy, while in the intervention group, severe pain reduced from 100% to 54.29% at 30 minutes and to 60% at 60 minutes. Pain scores in the control group showed minimal reduction (8.71 to 8.51, t=2.02; 8.71 to 8.57, t=1.53), whereas the intervention group experienced a significant decrease (8.4 to 6.91, t=10.11; 8.4 to 6.77, t=13.97). Significant associations were found between pain levels and factors such as occupation (χ²=7.38, p<0.05), type of family (χ²=6.20, p<0.05), education (χ²=5.25, p<0.05), and gestational weeks (χ²=12.71, p<0.05) in the intervention group. Conclusion: The findings of the study indicated that the hand reflexology reduces the post operative pain. Hand reflexology over the reflexology point is a simple, easy to implement and most acceptable way to cope with pain among post caesarean mothers.

Published by: Mahima.A, Dr. Saraswathy. K, Dr. Latha Venkatesan, Dr. Vijayalakshmi . K, Dr.Dhanalakshmi.V

Author: Mahima.A

Paper ID: V11I5-1241

Paper Status: published

Published: October 31, 2025

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Research Paper

Access to Microcredit and Its Impact on Women Entrepreneurs in Rural India

This research paper investigates how microcredit access has transformed women’s entrepreneurial landscapes in rural India. Microcredit programs, often implemented through Self-Help Groups (SHGs) and microfinance institutions, have been instrumental in enhancing financial inclusion, promoting entrepreneurship, and empowering women socially and economically. The study assesses how access to small loans helps women develop enterprises, increase income, and gain greater control over family decisions. Using a mixed-method research design, the paper combines quantitative data from 100 rural entrepreneurs with qualitative interviews highlighting personal success stories and challenges. The results demonstrate a positive correlation between access to microcredit and women’s entrepreneurial growth, with implications for policy design and rural development strategies.

Published by: Keya Yash Panchmatia

Author: Keya Yash Panchmatia

Paper ID: V11I5-1250

Paper Status: published

Published: October 31, 2025

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