Past Issues

Butterflies, often referred to as the “beauty of the insect world,” are among the most studied insect groups due to their ecological and economic significance. Belonging to the order Lepidoptera and superfamily Papilionoidea, they serve as vital pollinators and effective bio-indicators of environmental health. Their sensitivity to changes in temperature, humidity, rainfall, and habitat quality makes them reliable indicators of ecosystem stability. However, factors such as habitat destruction, urbanization, pesticide use, and illegal collection have led to a decline in butterfly species richness and abundance across India..

Turmeric in the Management of Oral Submucous Fibrosis – A Systematic Review and Meta-Analysis

Preksha Mehta, Dr. Shweta Sharma, Dr. Nitin Dungarwal, Dr. Pulkit Chaturvedi

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2025.5.9.5712

Oral Submucous Fibrosis (OSMF) is a chronic, premalignant, fibrotic disorder predominantly affecting the buccal mucosa, strongly linked to betel nut chewing. Numerous therapeutic approaches have been evaluated for its management; however, a safe, economical, and effective treatment remains essential, especially in regions with a high prevalence of the disease. Turmeric, known for its potent anti-inflammatory and antioxidant properties, has demonstrated encouraging outcomes in OSMF management. The objective of this review was to evaluate the clinical effectiveness of turmeric in treating OSMF based on existing literature..

Evaluation of Dental Fluorosis Prevalence and Child Perceptions in the Context of Fluoride Levels

Pavan Kumar Namdeo, Dr. Neelu Jain

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2025.5.9.5713

This research provides significant evidence that the correlation between dental fluorosis in children and the concentration of fluoride in drinking water is maintained by examining 140 children who are twelve years old. At appropriate concentrations, fluoride is helpful for preventing cavities; nevertheless, it becomes toxic when used in excess, particularly during the crucial periods of tooth formation. .

An Efficient Deep Learning Architectures for Image Recognition and Processing

Mahesh D, Dr. Harsh Lohiya

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2025.5.9.5714

When it comes to solving real-world challenges in image processing, such as object detection, picture segmentation, and picture enhancement, deep learning has shown to be the most successful method. In relation to algorithms that use deep learning for processing images. The capacity of deep learning architectures to automatically extract significant characteristics from complicated visual data is highlighted in this paper, which also examines their significance in sophisticated picture identification and processing..