MG-ResViT: Dynamic Residual Learning with Contrastive Feature Optimization and PCA-Optimized Cross-Block Feature Fusion for Fine- Grained Mangrove Species Classification

Mangrove conservation and monitoring are critically important for biodiversity. However, accurate classification remains challenging due to the morphological similarities among species. This paper proposes MG-ResViT, a novel deep learning framework continue reading : MG-ResViT: Dynamic Residual Learning with Contrastive Feature Optimization and PCA-Optimized Cross-Block Feature Fusion for Fine- Grained Mangrove Species Classification

Motivating learning in physics: investigating the effects of 4 modes application technique (4MAT) teaching model integrating PhET simulations on student motivation

The main goal of this research is to assess the effects of incorporating PhET simulations into the 4MAT teaching model on student motivation in the context of physics education. The continue reading : Motivating learning in physics: investigating the effects of 4 modes application technique (4MAT) teaching model integrating PhET simulations on student motivation

Microalgae biocathode coupled polyvinylalcohol proton exchange membrane for performance of recirculation honeycomb microbial fuel cells

Microbial fuel cells (MFCs) are a renewable energy technology that has garnered global attention for their ability to transform wastewater into electricity while also purifying the water. Honeycomb microbial fuel continue reading : Microalgae biocathode coupled polyvinylalcohol proton exchange membrane for performance of recirculation honeycomb microbial fuel cells