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Impact of riverine inputs on nutrient dynamics and water quality in enclosed water bodies
Published 2024-12-01Get full text
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Generation of a novel mouse model of nemaline myopathy due to recurrent NEB exon 55 deletion
Published 2025-03-01Get full text
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Calpastatin, a calpain specific inhibitor, reduce seizures in a mouse model of temporal lobe epilepsy
Published 2025-06-01Get full text
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Cost analysis in the green economy on the example of the European Union and the Republic of Kazakhstan
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Optimal control applied to a stage-structured cassava mosaic disease model with vector feeding behavior
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Evaluation of the Treatment Effect of Aloe vera Fermentation in Burn Injury Healing Using a Rat Model
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Choice Model and Influencing Factor Analysis of Travel Mode for Migrant Workers: Case Study in Xi’an, China
Published 2015-01-01Get full text
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Spatial-temporal Distribution of Carbon Storage in Qilian Mountain National Park Based on InVEST Model
Published 2022-06-01Get full text
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Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting
Published 2024-10-01“…For geophysical spatiotemporal data, the decrease in Root Mean Square Error (RMSE) was up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>27.7</mn><mo>%</mo></mrow></semantics></math></inline-formula>, and the reduction in Mean Absolute Percentage Error (MAPE) was up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>45.7</mn><mo>%</mo></mrow></semantics></math></inline-formula> compared with ML models without probability informing. …”
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