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Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Physiological and Biochemical Responses of Plantain Trees (Platanus orientalis L.) Derived from Different Ages to Drought Stress and Ascophyllum nodosum L. Extract
Physiological and Biochemical Responses of Plantain Trees (Platanus orientalis L.) Derived from Different Ages to Drought Stress and Ascophyllum nodosum L. Extract
Theoretical and Experimental Study on the Formation Mechanisms of TiAl: Using the Method of Molecular Dynamics Simulation and SPS Method
Theoretical and Experimental Study on the Formation Mechanisms of TiAl: Using the Method of Molecular Dynamics Simulation and SPS Method
Responses of Two-Row and Six-Row Barley Genotypes to Elevated Carbon Dioxide Concentration and Water Stress
Responses of Two-Row and Six-Row Barley Genotypes to Elevated Carbon Dioxide Concentration and Water Stress
The Efficiency of the Ordinary Polypropylene Fiber in Producing One-part Alkali-Activated Slag Composites with Strain-Hardening Behavior
Folic Acid and Carbon Dots-Capped Mesoporous Silica for pH-Responsive Targeted Drug Delivery and Bioimaging
Folic Acid and Carbon Dots-Capped Mesoporous Silica for pH-Responsive Targeted Drug Delivery and Bioimaging
Formulation, characterization, and physical stability of encapsulated walnut green husk (Juglans regia L.) extract in phosphatidylcholine liposomes L.) extract in phosphatidylcholine liposomes
Formulation, characterization, and physical stability of encapsulated walnut green husk (Juglans regia L.) extract in phosphatidylcholine liposomes L.) extract in phosphatidylcholine liposomes
Formulation, characterization, and physical stability of encapsulated walnut green husk (Juglans regia L.) extract in phosphatidylcholine liposomes L.) extract in phosphatidylcholine liposomes
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
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