Finding Contents or People

Modeling the Electric Double Layer at the Liposome Vesicle via Classical Density Functional Theory: Solution of Poisson's Equations for Curved Membranes
Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Equally weighted multivariate optimization of feeding rate for sub-yearling great sturgeon (Huso huso) using desirability function model
Analysis of the Parameter-Dependent Multiplicity of Steady-State Profiles of a Strongly Nonlinear Mathematical Model Arising From the Chemical Reactor Theory
Stability and Dynamic of HIV-1 Mathematical Model with Logistic Target Cell Growth, Treatment Rate, Cure Rate and Cell-to-cell Spread
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models