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Updated: Jun 27, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
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ヘッジ・インデックス: TEFsの限界を克服するデータ駆動のフレームワーク,ポリサイクル芳香炭化水素リスクの優先順位付け

Sili Chen1, Tao Zheng1, Qianru Chen1

  • 1Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China.

Environmental science & technology
|February 19, 2026
PubMed
まとめ

新しいHEDGE指数は,空気中のポリサイクル芳香炭化水素 (PAH) の健康リスクを評価するより良い方法を提供します. 伝統的な方法と比較して死亡率の予測を改善し,より包括的なリスク評価を提供します.

キーワード:
大気汚染 大気汚染化学品の優先順位を決めるコンピュータによる毒理学.データ駆動型生成 (HEDGE) による危険度および暴露度指数機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.ポリサイクルアロマティック炭化水素 (PAHs)リスク評価 リスク評価 リスク評価毒性等価因子 (TEFs) とは,毒性等価因子である.

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Cycloheptatriene is a neutral monocyclic unsaturated hydrocarbon that consists of an odd number of carbon atoms and an intervening sp3 carbon in the ring. The three double bonds in the ring correspond to 6 π electrons, which is a Huckel number, and therefore satisfies the criteria of 4n + 2 π electrons. However, the intervening sp3 carbon disrupts the continuous overlap of p orbitals. As a result, cycloheptatriene is not aromatic.
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