Performance and emission prediction using ANN (artificial neural network) on H-assisted Garcinia gummi-gutta biofuel doped with nano additives.

The current work focuses on utilization of ANN (artificial neural network) for the prediction of performance and tailpipe emissions of Garcinia gummigutta methyl ester (GGME) enriched with H and TiO nano additives. For experimentation, H gas was introduced to the mixes containing TiO nanoparticles. Diesel, B10 blend (10% GGME biofuel + 90% Diesel), B20 (20% GGME biofuel + 80% Diesel), Diesel-TiO (Mineral Diesel with 100 ppm TiO nano additives), B10-H-TiO (B10 blend with 100 ppm nano additives + 5 L/min of H) and B20-H-TiO (B20 blend with 100 ppm nanoparticles + 5 L/min of H) were considered for experimentation.

In-vivo microwave-aided spectrofluorimetric characterization of teneligliptin-loaded solid dispersion adsorbate using quality by design approach.

This study developed a microwave-aided spectrofluorimetric method for in-vivo characterizing teneligliptin-loaded solid dispersion adsorbate (TNG-SDA) using a quality by design approach. The microwave-aided chemical reaction was applied for derivatization of non-fluorescent teneligliptin with NBD-Cl (7-chloro-4-nitrobenzoxadiazole). TNG-SDA was prepared to enhance the solubility and bioavailability of teneligliptin, a BCS (Biopharmaceutical Classification System) class II drug.

Delafloxacin-Loaded Poly(d,l-lactide--glycolide) Nanoparticles for Topical Ocular Use: Characterization and Antimicrobial Activity.

: We developed delafloxacin (Dela)-loaded PLGA nanoparticles (PNPs) for potential ocular application a topical route to treat eye infections caused by Gram-positive and Gram-negative bacteria. : Dela-PNPs were formulated using the emulsification-solvent evaporation method and stabilized using poly(vinyl alcohol) (PVA). Size and morphology were characterized by using dynamic light scattering (DLS) and scanning electron microscopy (SEM).

Epidemiology and Molecular Characterisation of Multidrug-Resistant Isolated from Cow Milk.

Antimicrobial resistance (AMR) is a growing global concern and poses a significant threat to public health. The emergence of multidrug-resistant organisms, including , also presents a risk of transmission to humans through the food chain, including milk. This study aimed to investigate the prevalence of in raw milk in the Chattogram metropolitan area (CMA) of Bangladesh and their phenotypic and genotypic antimicrobial resistance patterns.

An application of COM-b model to explore factors influencing veterinarians' antimicrobial prescription behaviors: Findings from a qualitative study in Bangladesh.

The integration of behavioral theories in designing antimicrobial stewardship (AMS) interventions aimed at optimizing the antimicrobial prescription in veterinary practice is highly recommended. However, little is known about the factors that influence veterinarians' antimicrobial behavior for food-producing animals in lower- and middle-income settings like Bangladesh. There is a large body of research on the factors that influence veterinarian behavior of prescribing antimicrobials, however, there is a need for more studies that use comprehensive behavior change models to develop and evaluate interventions.