Xanthan gum-stabilized docosahexaenoic acid loaded nanoemulgel: A stable nutraceutical delivery system with enhanced bioavailability.

Docosahexaenoic acid (DHA) is an omega-3 fatty acid beneficial for brain development and cardiovascular health. DHA has poor aqueous solubility and is highly susceptible to oxidation, limiting its bioavailability. To address these challenges, in the present investigation, nanoemulsion was prepared using DHA-enriched edible algal oil and tween 80 as an emulsifier (1 %) initially.

Electrospun probiotic () with prebiotic for better survival in the food system and during gastrointestinal transit.

This study aims to develop an electrospun probiotic with a prebiotic for better stability and survival in food systems and during gastrointestinal transit. The probiotic was combined with prebiotic barley extracts and electrospun using chitosan and alginate as polymers. The SEM, TEM, and AFM tests on the electrospun probiotic nanofibers revealed that adding barley improved the fiber morphology and texture.

Enhanced fruit preservation using compressed stabilized earth blocks and municipal solid waste incinerator bottom ash in pyramid structures.

Storage conditions play a crucial role in preserving fruit quality, regulating ripening, and preventing degradation. The current research examines the impact of fruit quality stored in controlled environment where compressed stabilised earth blocks (CSEBs) were produced incorporating municipal solid waste incinerator bottom ash (MSWIBA). To improve fruit storage efficiency, this research examines the impact of incorporating municipal solid waste incinerator bottom ash (MSWIBA) into compressed stabilised earth blocks (CSEBs).

Anti-lipidemic and anti-diabetic properties of saponins: an in-silico approach.

Unlabelled: Diabetes mellitus and dyslipidemia make a significant contribution to mortality and morbidity. The saponins have a variety of pharmacological effects, including the possibility of lowering diabetes and cholesterol levels. In the present study, molecular docking and molecular dynamic simulations were used in silico in order to understand the protein league stability and molecular interactions by aiming at anti-diabetic and anti-lipidemic proteins.

Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis.

Accurate brain tumor segmentation is critical for clinical diagnosis and treatment planning. This study proposes an advanced segmentation framework that combines Multiscale Attention U-Net with the EfficientNetB4 encoder to enhance segmentation performance. Unlike conventional U-Net-based architectures, the proposed model leverages EfficientNetB4's compound scaling to optimize feature extraction at multiple resolutions while maintaining low computational overhead.