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An AHP TOPSIS Predictive Model for District-Scale Mapping of Porphyry Cu Au Potential A Case Study from Salafchegan Area (Central Iran)
An equivalent micromechanical multi-unit cell model carried by macromechanical full-layerwise theory for flexural analysis of 3D braided composite and thick plates
Transport properties of a high porosity model food at above and sub-freezing temperature. Part 2) Evaluation of the effective moisture diffusivity from drying data
Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury
Modeling and Simulation of Six-Bed Cyclic Adsorption Process Using in Mercaptan Removal from Natural Gas Non-Isothermal and Non-Adiabatic Conditions
Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
A mononuclear Zinc(II) complex with piroxicam crystal structure DNA- and BSA-binding studies in vitro cell cytotoxicity and molecular modeling of oxicam complexes
A mononuclear Zinc(II) complex with piroxicam crystal structure DNA- and BSA-binding studies in vitro cell cytotoxicity and molecular modeling of oxicam complexes
RUNOFF MODELING IN ORDER TO INVESTIGATE THE MOST EFFECTIVE FACTORS IN FLOOD EVENTS USING SYSTEM DYNAMIC APPROACH (CASE STUDY TEHRAN WATERSHED IRAN)
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Evaluating Consumers' Shopping and Delivery Preference by Developing a Disaggregated E-Commerce Demand Model Using Extended Multiple Discrete Continuous Extreme Values Framework
A double sampling multivariate GLR control charting method for joint monitoring of process mean vector and covariance matrix under additive covariate model
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models