SEGMENT PARTICLE SWARM OPTIMIZATION ADOPTION FOR LARGE-SCALE KINETIC PARAMETER IDENTIFICATION OF ESCHERICHIA COLI METABOLIC NETWORK MODEL

Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Escherichia Coli Metabolic Network Model

Kinetic parameter identification in the dynamic metabolic model of Escherichia coli (E.coli) has become important and is needed to obtain appropriate Ski de fond - Homme - Bottes metabolite and enzyme data that are valid under in vivo conditions.The dynamic metabolic model under study represents five metabolic pathways with more than 170 kinetic pa

read more

Modelling of Fat Oil and Grease (FOG) and Total Suspended Solid (TSS) Removal Rate on Dissolved Air Flotation Process Using Multiple Linear Regression

In the wastewater treatment process, floatation unit have been developed to remove particles or flocs that tend to be difficult to settle, such as fat oil and grease (FOG) and total suspended solids (TSS).Flotation is a unit operation that can separate the liquid phase or solid phase from the liquid phase, this can occur due to the presence of satu

read more

Selenium and zinc oxide nanoparticles modulate the molecular and morpho-physiological processes during seed germination of Brassica napus under salt stress

The advent of the nanotechnology era offers a unique opportunity for sustainable agriculture, and the contribution of nanoparticles (NPs) to ameliorate abiotic stresses became the new area of interest for researchers due to their special physiochemical characteristics in the biological system.Salinity is a key devastating abiotic factor that hinder

read more