中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
合肥物质科学研究院 [15]
地理科学与资源研究所 [7]
上海药物研究所 [4]
昆明植物研究所 [4]
自动化研究所 [4]
植物研究所 [4]
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OAI收割 [67]
内容类型
期刊论文 [65]
会议论文 [1]
预印本 [1]
发表日期
2022 [67]
学科主题
Ecology [2]
Environmen... [2]
Plant Scie... [2]
Biodiversi... [1]
Environmen... [1]
Geoscience... [1]
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浏览/检索结果:
共67条,第1-10条
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发表日期:2022
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Identification of a class of potent USP25/28 inhibitors with broad-spectrum anti-cancer activity
期刊论文
OAI收割
SIGNAL TRANSDUCTION AND TARGETED THERAPY, 2022, 卷号: 7, 期号: 1, 页码: 3
作者:
Peng, Jin
;
Jiang, Kun
;
Sun, Xiao
;
Wu, Lingzhi
;
Wang, Jiewei
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/04/10
The Role of NMR in Metal Organic Frameworks: Deep Insights into Dynamics, Structure and Mapping of Functional Groups
期刊论文
OAI收割
MATERIALS TODAY ADVANCES, 2022, 卷号: 16
作者:
Rehman, Sajid Ur
;
Xu, Shuai
;
Xu, Huangtao
;
Tao, Tongxiang
;
Li, Yunyan
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/12/22
Metal organic frameworks
NMR
mapping of functional groups
host-guest interaction
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study
期刊论文
OAI收割
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:
Li, Bao
;
Li, Fengling
;
Liu, Zhenyu
;
Xu, FangPing
;
Ye, Guolin
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/12/27
Breast cancer
Neoadjuvant chemotherapy
Pathological complete response
Whole-slide image
Deep learning
FAST Observations of an Extremely Active Episode of FRB 20201124A. II. Energy Distribution
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2022, 卷号: 22, 期号: 12, 页码: 11
作者:
Zhang, Yong-Kun
;
Wang, Pei
;
Feng, Yi
;
Zhang, Bing
;
Li, Di
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2023/03/01
(stars
) pulsars
general
stars
individual (FRB 20201124A)
methods
data analysis
FAST Observations of an Extremely Active Episode of FRB 20201124A. III. Polarimetry
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2022, 卷号: 22, 期号: 12, 页码: 18
作者:
Jiang, Jin-Chen
;
Wang, Wei-Yang
;
Xu, Heng
;
Xu, Jiang-Wei
;
Zhang, Chun-Feng
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2023/03/01
(stars:) pulsars: general
stars: magnetars
radio continuum: general
polarization
Local perspectives on social-ecological transformation: China's Sanjiangyuan National Park
期刊论文
OAI收割
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 页码: 21
作者:
Ma, Ting
;
Swallow, Brent
;
Zhong, Linsheng
;
Xu, Kun
;
Sang, Weiguo
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/12/30
Environmental resources
Conservation policy
Ecological civilization
Mixed methods
Rural livelihoods
Policy analysis
Local perspectives on social-ecological transformation: China's Sanjiangyuan National Park
期刊论文
OAI收割
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 页码: 21
作者:
Ma, Ting
;
Swallow, Brent
;
Zhong, Linsheng
;
Xu, Kun
;
Sang, Weiguo
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/12/30
Environmental resources
Conservation policy
Ecological civilization
Mixed methods
Rural livelihoods
Policy analysis
Estimation and characterization of the refractive index structure constant within the marine atmospheric boundary layer
期刊论文
OAI收割
APPLIED OPTICS, 2022, 卷号: 61
作者:
Zhang, Hanjiu
;
Zhu, Liming
;
Sun, Gang
;
Zhang, Kun
;
Xu, Manman
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/12/23
Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study
期刊论文
OAI收割
CANCER, 2022, 页码: 11
作者:
Gu, Jionghui
;
Tong, Tong
;
Xu, Dong
;
Cheng, Fang
;
Fang, Chengyu
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/03/20
breast cancer
deep learning
lymph node metastasis
neoadjuvant chemotherapy
pathologic complete response
treatment decision
ultrasonography
Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study
期刊论文
OAI收割
CANCER, 2022
作者:
Gu, Jionghui
;
Tong, Tong
;
Xu, Dong
;
Cheng, Fang
;
Fang, Chengyu
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/12/23
breast cancer
deep learning
lymph node metastasis
neoadjuvant chemotherapy
pathologic complete response
treatment decision
ultrasonography