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Changes in Morphological, Physiological and Phytochemical Traits of Different Dill (Anethum graveolens L.) Cultivars as Affected by Light-Emitting Diodes
Changes in Morphological, Physiological and Phytochemical Traits of Different Dill (Anethum graveolens L.) Cultivars as Affected by Light-Emitting Diodes
Changes in Morphological, Physiological and Phytochemical Traits of Different Dill (Anethum graveolens L.) Cultivars as Affected by Light-Emitting Diodes
Genetic and Phenotypic Characterization of Botrytis Populations from Economic and Wild Host Plants in Iran
Evaluating low-emission-zone impacts on urban road transport system in large city
Assessment of environmental and health risks of potentially toxic elements associated with desert dust particles affected by industrial activities in Isfahan metropolitan
Assessment of environmental and health risks of potentially toxic elements associated with desert dust particles affected by industrial activities in Isfahan metropolitan
Forest edge encroachment by rural orchards shifts bird communities in favor of understory birds: Forest birds as indicators of landscape changes in agroecosystems
Effects of pre- and postpartum dietary fat sources (soybean oil versus linseed oil) on lactation performance and blood metabolites in transition dairy cows
Effects of pre- and postpartum dietary fat sources (soybean oil versus linseed oil) on lactation performance and blood metabolites in transition dairy cows
Effects of pre- and postpartum dietary fat sources (soybean oil versus linseed oil) on lactation performance and blood metabolites in transition dairy cows
Theoretical study of the efficiencies of graphyne supported Mo single-atom catalyst (SAC) and Mo-Ni dual-atom catalyst (DAC) on hydrogen evolution reaction
Single-atom catalysts (SACs) for CO <sub>2</sub> to CO conversion using Cu, Ni, and Co on graphene flakes support; a DFT study
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease
A deep learning-genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution