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Developing an electronic portable device based on dielectric power spectroscopy for non-destructive prediction of date moisture content
Developing an electronic portable device based on dielectric power spectroscopy for non-destructive prediction of date moisture content
Developing an electronic portable device based on dielectric power spectroscopy for non-destructive prediction of date moisture content
ABSTRACTS (BY NUMBER)
Tungstate supported on magnetic ionic liquid-modified graphene oxide as an efficient and recyclable catalyst for the selective oxidation of sulfides
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
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
Fast and selective determination of the gasodor S-free using ion mobility spectrometer equipped with corona discharged ionization source: Theoretical study, experimental optimization and field test
Fast and selective determination of the gasodor S-free using ion mobility spectrometer equipped with corona discharged ionization source: Theoretical study, experimental optimization and field test
Fast and selective determination of the gasodor S-free using ion mobility spectrometer equipped with corona discharged ionization source: Theoretical study, experimental optimization and field test
Attacks to Some Recently Proposed CL-SC Schemes and Presenting a Secure Scheme with KSSTIS
Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of auxiliary covariates