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浏览/检索结果: 共9043条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Pharmacokinetics, mass balance, and metabolism of [14C]PLB1004, a selective and irreversible EGFR-TKI in humans 期刊论文  OAI收割 CANCER CHEMOTHERAPY AND PHARMACOLOGY, 2025, 卷号: 95, 期号: 1, 页码: 14 作者:  Liu, Donghui;  Li, Qian;  Yan, Shu;  Zhang, Xinyue;  Li, Weiqiang   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/04/01 PLB1004  [C-14]PLB1004  Radioactivity  Mass balance  EGFR-TKI   Deep view of composite SNR CTA1 with LHAASO in γ-rays up to 300 TeV 期刊论文  OAI收割 Science China: Physics, Mechanics and Astronomy, 2025, 卷号: 68, 期号: 7 作者:  Cao, Zhen;  Aharonian, F.;  Axikegu;  Bai, Y. X.;  Bao, Y. W.   |  收藏  |  浏览/下载：22/0  |  提交时间：2025/02/26 PWN  gamma-ray  UHE   Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning 期刊论文  OAI收割 ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 卷号: 114, 页码: 107897 作者:  Xu, Gang;  Liu, Haimeng;  Jia, Chunwang;  Zhou, Tianyu;  Shang, Jing   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/04/21 Public environmental concern  Air quality  Environmental perception  Machine learning  XGBoost-SHAP  Environmental assessment  Environmental governance   Risk assessment and contamination drivers for heavy metals in kindergarten resuspended dust 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 490, 页码: 137757 作者:  Wang, Peng;  Hu, Jian;  Zhang, Qian;  Ma, Wenmin;  Tian, Liyan   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/04/21 Heavy metals  Bio-accessibility  Health risk  Driving factors  Dust   Development of a UAV-borne sorbent tube sampler and its application on the vertical profile measurement of volatile organic compounds 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL SCIENCES, 2025, 卷号: 152 作者:  Zhai, Haiyue;  Zhou, Jiacheng;  Zhao, Weixiong;  Du, Wanli;  Wei, Nana   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/11/22 Sorbent tube  Unmanned aerial vehicle  Vertical profile  Volatile organic compounds   Hierarchical heterogeneous microstructure for enhanced wear resistance of CoCrFeMnNi high-entropy alloy coatings via in-situ rolling assisted laser cladding 期刊论文  OAI收割 JOURNAL OF MANUFACTURING PROCESSES, 2025, 卷号: 141, 页码: 105-120 作者:  Liu, Hao;  Wang, Baochen;  Chen, Peijian;  Li, Dali;  Hao, Jingbin   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/04/07 In-situ rolling  Hierarchical heterostructure  Laser cladding  High-entropy alloy  Tribological behavior   Deriving leaf-scale chlorophyll index (CIleaf) from canopy reflectance by correcting for the canopy multiple scattering based on spectral invariant theory 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 322, 页码: 114692 作者:  Gu, Chenpeng;  Li, Jing;  Liu, Qinhuo;  Zhang, Hu;  Huete, Alfredo   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/04/21 Leaf chlorophyll content  Leaf-scale chlorophyll index  Canopy structure  Spectral invariants  Recollision probability   Effect of polystyrene micro/nanoplastics on PCBs removal in constructed wetlands planted with Myriophyllum aquaticum 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH, 2025, 卷号: 269, 页码: 9 作者:  Wang, Shuang;  Liu, Jun;  Kang, Rongjie;  Liu, Ya;  Zhao, Xuan   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/04/03 Polychlorinated biphenyls  Plastic  Different size  Myriophyllum aquaticum  Plant uptake  Microbial degradation  PCB-Degrading enzymes   A prominent oxygenation event in the late Mesoproterozoic broke the calm of the second half of the "Boring Billion" 期刊论文  OAI收割 PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2025, 卷号: 662, 页码: 13 作者:  Meng, Lin;  Shi, Xiaoying;  Zhou, Limin;  Li, Jie;  Liu, Wei   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/04/03 Ce anomaly  Mo isotope  Taizi Formation  Yemahe Formation  South China  I/(Ca plus Mg)   Machine learning-driven analysis of greenhouse gas emissions from rice production in major Chinese provinces: Identifying key factors and developing reduction strategies 期刊论文  OAI收割 EUROPEAN JOURNAL OF AGRONOMY, 2025, 卷号: 164, 页码: 127536 作者:  Huan, Songhua;  Liu, Xiuli   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/03/18 Rice production  Greenhouse gas emission intensity  Machine learning models  Driving factors  Reduction strategies