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Aquatic invasive plant biomass-derived magnetic porous biochar prepared by sequential carbonization and coprecipitation for diethyl phthalate removal from water.

• Authors : Li, Yi^1,2 (AUTHOR); Qi, Yuxin¹ (AUTHOR); Lu, Haiying¹ (AUTHOR)

Subjects: *EMERGING contaminants; *DIETHYL phthalate; *IRON oxides

• Source: Separation & Purification Technology. Dec2024, Vol. 349, pN.PAG-N.PAG. 1p.

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A bridge between influence models and control methods.

• Authors : Sadaf, Abida; Mathieson, Luke; Bródka, Piotr

• Source: Applied Network Science. December, 2024, Vol. 9 Issue 1.

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Oyster shell facilitates the green production of nitrogen-doped porous biochar from macroalgae: a case study for removing atrazine from water

• Authors : Song, Liying; Cheng, Hu; Liu, Cuiying

• Source: Biochar; December 2024, Vol. 6 Issue: 1

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Agricola

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All-aqueous synthesis of alginate complexed with fibrillated protein microcapsules for membrane-bounded culture of tumor spheroids.

• Authors : Wei, Yue^1,2 (AUTHOR); Cai, Zhixiang^1,3 (AUTHOR) ; Liu, Zhou² (AUTHOR)

Subjects: *CLICK chemistry; *POLYETHYLENE glycol; *TISSUE engineering

• Source: Carbohydrate Polymers. Dec2024, Vol. 345, pN.PAG-N.PAG. 1p.

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Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram

• Authors : Zhu, Chao; Sun, Wenju; Chen, Cunhai

• Source: European Journal of Medical Research; December 2024, Vol. 29 Issue: 1

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SnO2/ZnO/Ti3C2Tx MXene nanocomposites for highly sensitive and stable ethanol sensing at low temperature.

• Authors : Mei, Zihan¹ (AUTHOR) ; Song, Yang¹ (AUTHOR); Jiang, Guojian^1,2,3,4,5 (AUTHOR)

Subjects: *STANNIC oxide; *GAS detectors; *COMPOSITE materials

• Source: Sensors & Actuators B: Chemical. Nov2024, Vol. 419, pN.PAG-N.PAG. 1p.

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High-performance Mg–Zn alloy achieved by the ultrafine grain and nanoparticle design

• Authors : Wang, Wenhui; Zhang, Xiyue; Zhang, Anke

• Source: Bioactive Materials; November 2024, Vol. 41 Issue: 1 p371-384, 14p

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Applied Science & Technology Full Text (H.W. Wilson)

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Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.

• Authors : Wang, Lu^1,2 (AUTHOR); Lu, Weilai¹ (AUTHOR); Song, Yang¹ (AUTHOR)

Subjects: *FEATURE selection; *MICROBIAL communities; *MACHINE learning

• Source: Environmental Research. Nov2024, Vol. 260, pN.PAG-N.PAG. 1p.

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