日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Global Impact of 60 years of ES&T

环境科学与技术60年来的全球影响

Lowry, Gregory V; Ren, Zhiyong Jason; Alvarez, Pedro J J; Hollender, Juliane; Wang, Shuxiao; Mills, Margaret; Zimmerman, Julie B

Suspect and Nontarget Screening of Organic Micropollutants in Swiss Sewage Sludge: A Nationwide Survey

瑞士污水污泥中疑似和非目标有机微污染物筛查:一项全国性调查

Lara-Martín, Pablo A; Schinkel, Lena; Eberhard, Yves; Giger, Walter; Berg, Michael; Hollender, Juliane

Ozonation of Pharmaceuticals and Their Human Metabolites in Wastewater─Insights from Laboratory Experiments and Field Data

臭氧处理废水中的药物及其人体代谢物——来自实验室实验和现场数据的启示

Meyer, Corina; Kronsbein, Pia M; Rougé, Valentin; von Gunten, Urs; McArdell, Christa S; Hollender, Juliane

MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data

MLinvitroTox 重新加载,用于对高分辨率质谱数据进行高通量、基于危害的优先级排序。

Arturi, Katarzyna; Harris, Eliza J; Gasser, Lilian; Escher, Beate I; Braun, Georg; Bosshard, Robin; Hollender, Juliane

Progress, applications, and challenges in high-throughput effect-directed analysis for toxicity driver identification - is it time for HT-EDA?

高通量效应导向分析在毒性驱动因素识别中的进展、应用和挑战——HT-EDA 的时代来临了吗?

Alvarez-Mora, Iker; Arturi, Katarzyna; Béen, Frederic; Buchinger, Sebastian; El Mais, Abd El Rahman; Gallampois, Christine; Hahn, Meike; Hollender, Juliane; Houtman, Corine; Johann, Sarah; Krauss, Martin; Lamoree, Marja; Margalef, Maria; Massei, Riccardo; Brack, Werner; Muz, Melis

Effect-directed analysis of genotoxicants in food packaging based on HPTLC fractionation, bioassays, and toxicity prediction with machine learning

基于高效薄层色谱分离、生物测定和机器学习毒性预测的食品包装中基因毒性物质的效应导向分析

Bergmann, Alan J; Arturi, Katarzyna; Schönborn, Andreas; Hollender, Juliane; Vermeirssen, Etiënne L M

Does a lack of juveniles indicate a threat? Understanding body size distributions in a group of long-lived vertebrates

幼体数量不足是否意味着存在威胁?了解长寿脊椎动物群体的体型分布

McKnight, Donald T; Bower, Deborah S; Ariel, Ellen; Beatty, Stephen; Clulow, Simon; Connell, Marilyn; Deppe, Annette R; Doody, Sean; Freeman, Alastair; Georges, Arthur; Hannabass, Samantha L; Hollender, Ethan C; Howell, Hunter; Krochmal, Aaron; Ligon, Day B; Munscher, Eric; Nordberg, Eric J; Roth, Timothy C; Santoro, Anthony; Schaffer, Jason; Simms, Angela; Spencer, Ricky-John; Stone, Paul; Voves, Kameron C; Walde, Andrew D; Wassens, Skye; Welsh, Michael A; Whiterod, Nick S; Wirth, Wytamma; Van Dyke, James U

Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States

开发基于机器学习的预测列线图用于筛查幼年特发性关节炎儿童:一项针对美国 223,195 名儿童的伪纵向研究

Lee, Yu-Sheng; Gor, Kira; Sprong, Matthew Evan; Shrestha, Junu; Huang, Xueli; Hollender, Heaven

Transcranial focused ultrasound targeting the default mode network for the treatment of depression

经颅聚焦超声靶向默认模式网络治疗抑郁症

Schachtner, Jessica N; Dahill-Fuchel, Jacob F; Allen, Katja E; Bawiec, Christopher R; Hollender, Peter J; Ornellas, Sarah B; Konecky, Soren D; Achrol, Achal S; Allen, John J B

The effect of non-invasive transcranial focused ultrasound for depression on the default mode network: an open-label pilot trial

非侵入性经颅聚焦超声治疗抑郁症对默认模式网络的影响:一项开放标签的初步试验

Schachtner, Jessica N; Dahill-Fuchel, Jacob F; Zhang, Diheng; Allen, Katja E; Bawiec, Christopher R; Hollender, Peter J; Ornellas, Sarah B; Konecky, Soren D; Achrol, Achal S; Allen, John J B