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Updated: Feb 15, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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地下排水システムからのレガシーおよび新しいリンの損失を分析するためのハイブリッド統計機械学習アプローチ

Emeka Aniekwensi1, Ehsan Ghane1

  • 1Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan, USA.

Journal of environmental quality
|February 14, 2026
PubMed
まとめ

レガシーフォスファー (P) は,地下排水による水質汚染に大きく貢献しています. 冬の有機肥料の適用は,新しいPの損失を増加させ,水質に対する農業の影響を減らすためにタイミングの重要性を強調します.

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