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A numerical study of drop evaporation at high density ratios using Front-Tracking method
Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran
Groundwater sustainability under land-use and land-cover changes
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
A naphthalenecarboxamide based fluorescent sensor for selective detection of Fe3+ and CN?: Live cell imaging and INHIBIT logic gate operation
A naphthalenecarboxamide based fluorescent sensor for selective detection of Fe3+ and CN?: Live cell imaging and INHIBIT logic gate operation
A naphthalenecarboxamide based fluorescent sensor for selective detection of Fe3+ and CN?: Live cell imaging and INHIBIT logic gate operation
Optimization of Low-Impact Development Facilities in Urban Areas Using Slime Mould Algorithm
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
Comparative study for removal of cationic and anionic dyes using alginate-based hydrogels filled with citric acid-sawdust/UiO-66-NH2 hybrid
Comparative study for removal of cationic and anionic dyes using alginate-based hydrogels filled with citric acid-sawdust/UiO-66-NH2 hybrid
Changes in ecological and health risk assessment indices of potentially toxic elements associated with ambient air particulate matters (PM2.5) in response to source, land use and temporal variation in Isfahan city, Iran
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models
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تحت نظارت وف ایرانی