Volume 13 | Issue 4 |

 Abstract

Gastric cancer remains one of the most aggressive malignancies globally, with limited therapeutic outcomes due to late-stage diagnosis and drug resistance. Curcumin, a natural polyphenolic compound derived from Curcuma longa, has demonstrated potent anticancer activity through modulation of multiple cellular pathways. However, its clinical utility is severely hindered by poor solubility, low bioavailability, and rapid systemic elimination. Mesoporous silica nanoparticles (MSNs) offer a promising nanocarrier system to overcome these limitations, owing to their tunable pore structure, high surface area, and biocompatibility. This study investigates the interaction of curcumin and MSN-loaded curcumin (Cur-MSNs) with key gastric cancer molecular targets--HER2, MMP9, and VEGFR2--using a comprehensive computational pipeline. Molecular docking was performed using AutoDock to evaluate binding affinity and interaction profiles, followed by molecular dynamics (MD) simulations via GROMACS to assess the stability of protein-ligand complexes. The results revealed that Cur-MSNs exhibited enhanced binding affinity and more favorable interaction energy compared to free curcumin. MD simulation confirmed increased complex stability, reflected in reduced RMSD and RMSF values and more consistent hydrogen bonding. MM-PBSA analysis further indicated that Cur-MSNs had stronger binding free energy across all targets. ADMET predictions also suggested improved pharmacokinetic profiles for the MSN-based formulation. These findings underscore the potential of Cur-MSNs as an efficient therapeutic strategy for targeted gastric cancer therapy. Future work will focus on in vitro and in vivo validation, as well as exploring AI-integrated computational models for broader oncological applications.

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 Keywords

Curcumin, Mesoporous Silica Nanoparticles (MSNs), Gastric Cancer, Drug-Target Interaction, Molecular Docking, ADMET, Molecular Dynamics Simulation, In Silico Nanomedicine.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTARCT India is the major economy that is growing the fastest, but it is divided between a thriving technology industry and a faltering older economy that does not generate the enough jobs to prevent the brain drain from India. Thus under Modi 1.0 between 2014 and 2019, the primary objective was to accelerate India's GDP growth, increase employment, eradicate poverty, and create wealth. By achieving these goals, Modi envisioned to drive India's global influence. The crown jewel of Modi's first term was the illustrious 'Make in India 'program formulated to renovate India into a global project and manufacturing core through investment in infrastructure and investment promotion. Under Modi 2.0 from 2019-2024, the manufacturing sector was once again established as the centre of BJP's election manifesto through the 'Self-Reliant India' initiative. It targets to cut down import dependencies in addition to gain a global market share in exports by increasing domestic manufacturing of essential goods. The article will also deal with the various countries that trade with India through different connectivity like IMEC AND INSTC, Therefore, this article will highlight on the various different timeline over the years to highlight and analyse the transformation.

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 Keywords

India, Self-Reliant India initiative, IMEC, INSTC,

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Microfinance emerges as a pivotal tool for promoting financial inclusion, offering financial services like credit access, savings, and insurance to marginalized communities. This research assesses the impact of microfinance on the financial inclusion and economic empowerment of Koraga women in the Dakshina Kannada district. The scope of the study is confined to Koraga women residing in Dakshina Kannada district. The sample size is 100 female respondents, selected using a simple random selection method. Primary data were collected through a well-structured, closed-ended questionnaire. The one-sample t-test was used to analyze the data and determine the significant impact of microfinance services on financial inclusion and economic empowerment. The findings proved that microfinance encourages Koraga women to save money, to access financial services, and to provide self-employment opportunities.

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 Keywords

Microfinance, Financial Inclusion, Koraga Women, Financial Services

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Early detection of diseases in rice plants is essential for improving crop yield and food security. Traditional methods of disease detection rely on manual observation, which is time-consuming and prone to errors. This research proposes a deep learning-based model for rice leaf disease detection using convolutional neural networks (CNNs). The model classifies leaf images into different disease categories, aiding farmers in taking preventive measures at an early stage. The experimental results demonstrate high accuracy in disease identification, validating the effectiveness of the proposed approach

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Rice leaf disease, Deep Learning, CNN, Image Classification, Agriculture Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project explores the use of Zigbee technology to enhance Vehicle-to-Vehicle (V2V) communication, focusing on improving road safety and preventing accidents. The system facilitates the exchange of critical data between vehicles, including speed, distance, and GPS coordinates. When a vehicle detects a reduction in the safe following distance, it automatically alerts the driver of the trailing vehicle, aiding in collision avoidance. The system also incorporates accident detection capabilities, providing real-time notifications to nearby vehicles about potential hazards. Zigbee's low power consumption and reliable short-range communication make it a suitable solution for V2V networks. By integrating GPS and sensors, the system enables precise location tracking, timely warnings, and accident alerts, contributing to safer and more efficient traffic management

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V2V Communication, Zigbee, Road Safety, Accident Prevention, Intelligent Transportation Systems (ITS)

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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

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Creative Commons Attribution 4.0 and The Open Definition

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This study compares the financial performance of Hero MotoCorp, Bajaj Auto, and TVS Motors in terms of liquidity, profitability, efficiency, and solvency. Hero MotoCorp excels in liquidity and profitability, maintaining strong financial stability. Bajaj Auto shows remarkable efficiency in asset utilization and capital turnover but demonstrates increasing reliance on debt. TVS Motors struggles with liquidity and debt dependency, yet displays gradual improvement in profitability and operational efficiency. The analysis provides valuable insights for investors, highlighting Hero MotoCorp as stable, Bajaj Auto as growth, focused with debt risks, and TVS Motors requiring strategic improvements for sustainable growth within the period of five years (2019-2024)

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Liquidity, Efficiency, Solvency, Profitability, Valuation, Two-wheeler industry, Financial analysis tools, Market dynamics

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Creative Commons Attribution 4.0 and The Open Definition

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Forensic anthropology is a developing field that focuses on examining the remains found. In this review, the present state and development of technologies are explained, and the overall duties of the forensic anthropologist, such as identification of remains, determining biological character, and finding and defining the cause of death, are described. Different investigative strategies used for the assessment of injuries in forensic anthropology are reviewed and elaborated. Many investigative strategies, technologies, and methods such as X-ray, CT scans, Radiological images, and MSCT are studied in this review. Along with different ways of investigations like microscopic analysis, macroscopic analysis, metric analysis, biochemical analysis, documentation, also the collaboration and adherence to ethical guidelines was observed. All the information is of significant use in proper research and development. This study highlights the advancement of technologies and further improvement in methodologies and instruments used in analysis for giving the accurate, reliable, and efficiency in the anthropological examination. Recommendations include support of research, strong collaboration, use of new technologies, maintaining ethics, and getting a good education. This will further help in the field of forensic anthropology to ensure accuracy and effectiveness in prosecutions and criminal investigations.

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 Keywords

Forensic anthropology, skeletal analysis, trauma analysis, macroscopic analysis, metric analysis, radiology, histology, advanced imaging techniques, forensic investigation, identification of human remains, technological advancement.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the mechanical performance of fiber-sandwiched composite materials (FSCM) designed to enhance tensile, bending, and impact properties. Composites were fabricated using synthetic (carbon, aramid) and natural (jute, banana) fibers, sandwiched with teakwood cores, via the hand lay-up method. Mechanical tests, adhering to ASTM standards, were conducted to evaluate tensile (ASTM D3039), bending (ASTM D7264), and impact (ASTM D256) properties. Finite Element Analysis (FEA) using ANSYS was employed to validate experimental results. The carbon fiber-teakwood composite (C-C-W-C-C) exhibited superior tensile strength (185 MPa), while the aramid fiber-teakwood composite (A-A-W-A-A) demonstrated optimal bending strength (5.18 MPa). However, FSCM showed limited suitability for impact loading. The study establishes FSCM as viable for improving mechanical properties, with potential applications in aerospace and automotive industries.

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Fiber-sandwiched composites, Mechanical properties, Tensile strength, Bending strength, Impact energy, Finite Element Analysis

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Creative Commons Attribution 4.0 and The Open Definition

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It's generally challenging to speak with somebody who has a consultation disability. People with hearing and discourse disabilities can now impart their sentiments and feelings to the remainder of the world through gesture-based communication, which has permanently turned into a definitive cure. It works with and improves on the combination interaction among them and others. Nonetheless, essentially it is deficient to create gesture-based communication. This gift accompanies a ton of surprises. For somebody who has never learned it or knows it in an alternate language, the sign developments are oftentimes stirred up and befuddled. Notwithstanding, with the development of various ways to deal with computerizing the ID of sign movements, this correspondence hole that has persevered for quite a long time can now be connected. We give a Sign Language acknowledgment framework in view of American Sign Language in this paper. The clients ought to have the option to take photos of hand signals involving a web camera in this review, and the framework should expect and show the name of the gained picture. To recognize the hand motion, we utilize the HSV variety strategy and set the background to dark. The photographs are handled utilizing an assortment of PC vision procedures, including grayscale transformation, dilatation, and veiling. What's more, the district of interest is sectioned, for this situation the hand motion. The parallel pixels of the pictures are the highlights extricated. Convolutional Neural Network (CNN) is utilized to prepare and arrange the pictures. We have a decent degree of exactness in perceiving ten American Sign motion letter sets. Our model has an incredible precision pace of over 90

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 Keywords

PHP, Machine Learning, Deep learning, web

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Creative Commons Attribution 4.0 and The Open Definition