Portfolio item number 1
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Published in Environment International, 2019
Code, https://github.com/YikeShen/Shen-et-al.-2019_Environment-International
Recommended citation: Shen Y, Stedtfeld RD, Guo X, Bhalsod GD, Jeon S, Tiedje JM, Li H, Zhang W* (2019). Pharmaceutical exposure changed antibiotic resistance genes and bacterial communities in soil-surface-and overhead-irrigated greenhouse lettuce. Environment international, 131, 105031. https://www.sciencedirect.com/science/article/pii/S016041201931270X
Published in Chemosphere, 2021
Code, https://github.com/YikeShen/Shen-et-al.-2021-Chemosphere
Recommended citation: Shen Y, Li H, Ryser ET, Zhang W* (2021). Comparing root concentration factors of antibiotics for lettuce (Lactuca sativa) measured in rhizosphere and bulk soils. Chemosphere, 262, 127677. https://www.sciencedirect.com/science/article/pii/S0045653520318725
Published in Journal of Food Protection, 2021
Code, https://github.com/YikeShen/Shen-et-al.-2021-Journal-of-Food-Protection
Recommended citation: Shen Y, Hamm J, Gao F, Ryser ET, Zhang W*. 2021. Assessing consumer buy and pay preferences for labeled food products with statistical and machine learning methods. Journal of Food Protection. https://doi.org/10.4315/JFP-20-486
Published in Science of The Total Environment, 2021
Code, https://github.com/YikeShen/Shen-et-al.-2021_Science-of-the-Total-Environment.
Recommended citation: Shen Y, Ryser ET, Li H, Zhang W*. (2021). Bacterial community assembly and antibiotic resistance genes in the lettuce-soil system upon antibiotic exposure. Science of The Total Environment, 778, 146255. https://www.sciencedirect.com/science/article/pii/S0048969721013231
Published in Environmental Science & Technology, 2021
Code, https://github.com/FengGmsu/RCF.
Recommended citation: Gao F, Shen Y, Sallach JB, Li H, Liu C*, Li Y*. (2021). Direct prediction of bioaccumulation of organic contaminants in plant roots from soils with machine learning models based on molecular structures. Environmental Science & Technology. 55, 16358-26368 https://pubs.acs.org/doi/full/10.1021/acs.est.1c02376
Published in Environmental Health Perspectives, 2022
Code, https://github.com/YikeShen/Shen-et-al.-2022_Environmental-Health-Perspectives.
Recommended citation: Shen Y*, Laue HE, Shrubsole MJ, Wu H, Bloomquist TR, Larouche A, Zhao K, Gao F, Boivin A, Prada D, Hunting DJ. Gillet V, Takser L, Baccarelli AA. (2022). Associations of childhood and perinatal blood metals with children’s gut microbiomes in a Canadian gestation cohort. Environmental Health Perspectives. 130(1). https://ehp.niehs.nih.gov/doi/full/10.1289/EHP9674
Published in Journal of Hazardous Materials, 2022
Code, https://github.com/YikeShen/Gao-and-Shen-et-al_Journal-of-Hazardous-Materials_2022
Recommended citation: Gao F#, Shen Y#, Sallach JB, Li H, Zhang W, Li Y*, Liu C*. 2022. Predicting crop root concentration factors of organic contaminants with machine learning models. Journal of Hazardous Materials. 424, 127437. #Equal Contribution https://www.sciencedirect.com/science/article/pii/S0304389421024055
Published in Environment International, 2022
Code, https://github.com/YikeShen/Gao-et-al.-2022_Environment-International
Recommended citation: Gao F, Zhang W, Baccarelli AA, Shen Y*. (2022). Predicting Chemical Ecotoxicity by Learning Latent Space Chemical Representations. Environment international, 163, 107224. https://doi.org/10.1016/j.envint.2022.107224
Published in International Journal of Environmental Research and Public Health, 2022
Code, https://github.com/YikeShen/Laue-and-Shen-et-al_2022_IJERPH
Recommended citation: Laue HE*#, Shen Y#, Bloomquist TR, Wu H, Brennan, KJM, Raphael C, Wilkie E, Gillet V, Desautels A, Abdelouahab N, Bellenger JP, Burris HH, Coull BA, Weisskopf MG, Zhang W, Takser L, Baccarelli AA. (2022). In utero exposure to caffeine and acetaminophen, the gut microbiome, and neurodevelopmental outcomes, a prospective birth cohort study. International Journal of Environmental Research and Public Health 19(15), 9357.#equal contribution https://doi.org/10.3390/ijerph19159357
Published in Journal of Hazardous Materials, 2022
Code, https://github.com/YikeShen/Shen-et-al.-Journal-of-Hazardous-Materials_2022
Recommended citation: Shen Y, Zhao E, Zhang W*, Baccarelli AA, Gao F*. (2022). Predicting pesticide dissipation half-life intervals in plants with machine learning models. Journal of Hazardous Materials. 436, 129177 https://doi.org/10.1016/j.jhazmat.2022.129177
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.