中国科学院机构知识库网格系统: 检索

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	A Novel IRAK4 Inhibitor DW18134 Ameliorates Peritonitis and Inflammatory Bowel Disease 期刊论文 OAI收割 MOLECULES, 2024, 卷号: 29, 期号: 8, 页码: 17 作者: Huang, Yuqing; Ning, Yi; Chen, Zhiwei; Song, Peiran; Tang, Haotian \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2024/05/31 IRAK4 inhibitor peritonitis inflammatory bowel disease (IBD) macrophage
	激光光热效应对双层流体热毛细对流主动调控机理研究期刊论文 OAI收割空间科学学报, 2024, 卷号: 44, 期号: 02, 页码: 335-345 作者: 段文豪; 周小明; 陈启生 \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/07/05 双层流体热毛细对流光热效应主动调控
	Observations of Forbush Decreases of Cosmic-Ray Electrons and Positrons with the Dark Matter Particle Explorer 期刊论文 OAI收割 ASTROPHYSICAL JOURNAL LETTERS, 2021, 卷号: 920, 期号: 2, 页码: 10 作者: Alemanno, Francesca; An, Qi; Azzarello, Philipp; Barbato, Felicia Carla Tiziana; Bernardini, Paolo \| 收藏 \| 浏览/下载：103/0 \| 提交时间：2021/12/08 Solar coronal mass ejections Forbush effect Cosmic rays
	Analytical Surface Potential-Based Compact Model for Independent Dual Gate a-IGZO TFT 期刊论文 OAI收割 IEEE TRANSACTIONS ON ELECTRON DEVICES, 2021, 卷号: 68, 期号: 4, 页码: 2049-2055 作者: Guo, Jingrui; Zhao, Ying; Yang, Guanhua; Chuai, Xichen; Lu, Wenhao \| 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/06/01 Electric potential Solid modeling Logic gates Integrated circuit modeling Numerical models Thin film transistors Analytical models Analytical models independent dual gate (IDG) amorphous In-Ga-Zn-O thin-film transistors (IDG a-IGZO TFTs) Schroder method surface potential threshold compensation effect
	Genomic and experimental data provide new insights into luciferin biosynthesis and bioluminescence evolution in fireflies 期刊论文 OAI收割 SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1 作者: Zhang Ru; He Jinwu; Dong Zhiwei; Liu Guichun; Yin Yuan \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/10/26
	Deep learning aided decision support for pulmonary nodules diagnosing: a review 期刊论文 OAI收割 JOURNAL OF THORACIC DISEASE, 2018, 卷号: 10, 页码: S867-S875 作者: Yang, Yixin; Feng, Xiaoyi; Chi, Wenhao; Li, Zhengyang; Duan, Wenzhe \| 收藏 \| 浏览/下载：50/0 \| 提交时间：2018/07/30 Computer-aided diagnosis convolutional neural network (CNN) deep learning pulmonary nodules