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49981 - 49990 von 50257

	49981	Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source Enthalten in Stochastic environmental research and risk assessment Bd. 23, 20.11.2008, Nr. 8, date:12.2009: 1155-1167
	49982	Using living cells to transport therapeutic genes for cancer treatment Enthalten in Clinical and translational oncology Bd. 13, 26.1.2011, Nr. 1, date:1.2011: 10-17
	49983	Using Monte Carlo transport to accurately predict isotope production and activation analysis rates at the University of Missouri research reactor Enthalten in Journal of radioanalytical and nuclear chemistry Bd. 282, 16.7.2009, Nr. 1, date:10.2009: 255-259
	49984	Using multiple isotopes to identify sources and transport of nitrate in urban residential stormwater runoff Enthalten in Environmental monitoring and assessment Bd. 194, 2.3.2022, Nr. 4, date:4.2022: 1-27
	49985	Using optimal transport theory to optimize a deep convolutional neural network microscopic cell counting method Enthalten in Medical & biological engineering & computing Bd. 61, 3.8.2023, Nr. 11, date:11.2023: 2939-2950
	49986	Using particle tracking to simulate contaminant transport in the presence of colloids and bacteria Enthalten in Arabian journal of geosciences Bd. 14, 16.9.2021, Nr. 19, date:10.2021: 1-18
	49987	Using polyethylene plastic bag to prevent moderate hypothermia during transport in very low birth weight infants: a randomized trial Enthalten in Journal of perinatology Bd. 38, 27.12.2017, Nr. 4, date:4.2018: 332-336
	49988	Using resistor network models to predict the transport properties of solid-state battery composites Enthalten in Nature Communications Bd. 16, 6.2.2025, Nr. 1, date:12.2025: 1-9
	49989	Using Sobol’ sensitivity analysis to identify important model layers of a prediction model for simulating soil nitrogen transport in surface runoff and subsurface water Enthalten in Stochastic environmental research and risk assessment Bd. 39, 31.12.2024, Nr. 2, date:2.2025: 747-763
	49990	Using symbolic machine learning to assess and model substance transport and decay in water distribution networks Enthalten in Scientific reports Bd. 14, 8.2.2024, Nr. 1, date:12.2024: 1-14

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