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Aijun Lin

Showing results (161-170 of 165) with videos related to

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Organic Letters|October 7, 2024
Fast and Selective Cysteine Conjugation Using <i>para</i>-Quinone MethidesRuimin Zhang, Bo Li, Liuli Dong, et al.
Journal of Hazardous Materials|July 6, 2022
Immobilization on anionic metal(loid)s in soil by biochar: A meta-analysis assisted by machine learningYinjie Zhang, Meng Ren, Yiming Tang, et al.
Journal of Medicinal Chemistry|July 3, 2020
Identification of a Potent Oridonin Analogue for Treatment of Triple-Negative Breast CancerHong Yao, Shaowen Xie, Xiaoqian Ma, et al.
Molecules (Basel, Switzerland)|February 25, 2023
Effects of CeO<sub>2</sub> Nanoparticles on Nutritional Quality of Two Crop Plants, Corn (<i>Zea mays</i> L.) and Soybean (<i>Glycine max</i> L.)Xin Gui, Chaonan Dong, Shixian Fan, et al.
Journal of Environmental Management|February 19, 2024
The effects of iron-based nanomaterials (Fe NMs) on plants under stressful environments: Machine learning-assisted meta-analysisDaibing Hou, Xuedan Cui, Meng Liu, et al.
Pageof 17

Showing results (161-170 of 165) with videos related to

Sort By:
Pageof 17
You have reached the last page of results.This site can display upto 165 results.
Organic Letters|October 7, 2024
Fast and Selective Cysteine Conjugation Using <i>para</i>-Quinone MethidesRuimin Zhang, Bo Li, Liuli Dong, et al.
Journal of Hazardous Materials|July 6, 2022
Immobilization on anionic metal(loid)s in soil by biochar: A meta-analysis assisted by machine learningYinjie Zhang, Meng Ren, Yiming Tang, et al.
Journal of Medicinal Chemistry|July 3, 2020
Identification of a Potent Oridonin Analogue for Treatment of Triple-Negative Breast CancerHong Yao, Shaowen Xie, Xiaoqian Ma, et al.
Molecules (Basel, Switzerland)|February 25, 2023
Effects of CeO<sub>2</sub> Nanoparticles on Nutritional Quality of Two Crop Plants, Corn (<i>Zea mays</i> L.) and Soybean (<i>Glycine max</i> L.)Xin Gui, Chaonan Dong, Shixian Fan, et al.
Journal of Environmental Management|February 19, 2024
The effects of iron-based nanomaterials (Fe NMs) on plants under stressful environments: Machine learning-assisted meta-analysisDaibing Hou, Xuedan Cui, Meng Liu, et al.
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