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Fabrication and characterization of upconversion N-doped graphene quantum dots for improving photoelectrocatalytic performance of rutile hierarchical TiO? nanowires under visible and near-infrared light irradiations
An accurate method for fractional optimal control problems governed by nonlinear multi-delay systems
An investigation for improving dry anaerobic digestion of municipal solid wastes by adding biochar derived from gasification of wood pellets
Investigating the multiple scales method based on a new scaling for energy harvesting from a double cantilever beam with internal resonance
Investigating the multiple scales method based on a new scaling for energy harvesting from a double cantilever beam with internal resonance
The Effect of COVID-19 Pandemic on Emitted PM2.5 in Urban Road Networks: Using Loop Data and Kriging Method for Passenger Cars in the Central Part of the City of Lodz
Synthesis of engineered silica aerogel containing SrAl2O4: Eu2+, Dy3+ to improve luminescence efficiency, thermal and water stability and optical properties
Synthesis of engineered silica aerogel containing SrAl2O4: Eu2+, Dy3+ to improve luminescence efficiency, thermal and water stability and optical properties
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
An effective characterization procedure for petroleum reservoir fluids using molecular type methods and cubic equations of state
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