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Integrating principal component analysis and U-statistics for mapping polluted areas in mining districts
Modelling the biological invasion of Prosopis juliflora using geostatistical-based bioclimatic variables under climate change in arid zones of southwestern Iran
Kinetics of methane + hydrogen sulfide clathrate hydrate formation in the presence/absence of poly N-vinyl pyrrolidone (PVP) and L-tyrosine: Experimental study and modeling of the induction time
A multiscale cell-based model of tumor growth for chemotherapy assessment and tumor-targeted therapy through a 3D computational approach
A multiscale cell-based model of tumor growth for chemotherapy assessment and tumor-targeted therapy through a 3D computational approach
Influence of reducing starch in the dietswith similar protein and energy contents on lactation performance, ruminal fermentation, digestibility, behaviour and blood metabolites in primiparous andmultiparous dairy cows
Influence of reducing starch in the dietswith similar protein and energy contents on lactation performance, ruminal fermentation, digestibility, behaviour and blood metabolites in primiparous andmultiparous dairy cows
Inbred progeny of tall fescue infected withEpichlo¨ efungal endophyte have a high defence compound content and no depression in seed set
Inbred progeny of tall fescue infected withEpichlo¨ efungal endophyte have a high defence compound content and no depression in seed set
A modeling strategy for hot drying of rough rice assisted by ultrasonic wave
Health effect assessment of PM2.5 pollution due to vehicular traffic (case study: Isfahan)
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
Synthesis and application of amine- sulfone -rich mesoporous organic polymer for the ultrafast removal of both cationic and anionic organic pollutants from industrial wastewaters
Synthesis and application of amine- sulfone -rich mesoporous organic polymer for the ultrafast removal of both cationic and anionic organic pollutants from industrial wastewaters
A novel class of reliability-based parallel hybridization (RPH) models for time series forecasting