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
地理科学与资源研究... [36]
过程工程研究所 [17]
上海药物研究所 [13]
近代物理研究所 [13]
昆明植物研究所 [12]
西北高原生物研究所 [11]
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期刊论文 [204]
会议论文 [4]
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2024 [5]
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2020 [26]
2019 [19]
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浏览/检索结果:
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Future Scenarios of Forest Carbon Sink in a Typical Subtropical County
期刊论文
OAI收割
FORESTS, 2024, 卷号: 15, 期号: 11, 页码: 18
作者:
Gong, Weipeng
;
Zhang, Qin
;
Fan, Zemeng
;
Shi, Wenjiao
;
Zhao, Na
  |  
收藏
  |  
浏览/下载:90/0
  |  
提交时间:2025/03/03
forest carbon sink
climate scenarios
forest management scenarios
Brain-to-brain synchrony increased during interpersonal touch in romantic lovers: an EEG-based hyperscanning study
期刊论文
OAI收割
BMC PSYCHOLOGY, 2024, 卷号: 12, 期号: 1, 页码: 14
作者:
Zhou, Chenghao
;
Jiang, Xiaowei
;
Chen, Yanan
;
Ge, Chunlei
;
Ao, Na
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/11/18
EEG-based hyperscanning
Interpersonal touch
Brain-to-brain synchrony
Romantic love
Dynamic interpersonal functional connectivity
Spectroastrometry and Reverberation Mapping of Active Galactic Nuclei. I. The Hβ Broad-line Region Structure and Black Hole Masses of Five Quasars
期刊论文
OAI收割
ASTROPHYSICAL JOURNAL, 2024, 卷号: 974, 期号: 1
作者:
Li, Yan-Rong
;
Hu, Chen
;
Yao, Zhu-Heng
;
Chen, Yong-Jie
;
Bai, Hua-Rui
  |  
收藏
  |  
浏览/下载:149/0
  |  
提交时间:2024/10/25
Monitoring AGNs with Hβ Asymmetry. IV. First Reverberation Mapping Results of 14 Active Galactic Nuclei
期刊论文
OAI收割
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2024, 卷号: 272, 期号: 2
作者:
Zastrocky, T. E.
;
Brotherton, Michael S.
;
Du, Pu
;
McLane, Jacob N.
;
Olson, Kianna A.
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/05/27
Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
期刊论文
OAI收割
SCHIZOPHRENIA BULLETIN, 2024, 页码: 19
作者:
Gao, Jingjing
;
Qian, Maomin
;
Wang, Zhengning
;
Li, Yanling
;
Luo, Na
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/07/03
schizophrenia identification
multimodal MRI
deep graph neural networks
image marker
gene analysis
Characteristics of
Shisa
Family Genes in Zebrafish
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 卷号: 24, 期号: 18, 页码: 17
作者:
Liu, Yansong
;
Du, Na
;
Qian, Beibei
;
Zou, Congcong
;
Yu, Zhouxin
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/04/07
gene expression
knockdown
CRISPR/Cas13d
shisa-2
mesp-ab
somite formation
HASM quantum machine learning
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2023, 卷号: N/A
作者:
Yue, Tianxiang
;
Wu, Chenchen
;
Liu, Yi
;
Du, Zhengping
;
Zhao, Na
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/09/07
Quantum computing
Machine learning
Eco-environmental surface
High accuracy surface modelling
Quantum computational advantage
Practical quantum advantage
Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 121, 页码: 16
作者:
Li, Saibo
;
He, Shaoyang
;
Yue, Tianxiang
;
Du, Zhengping
;
Zhao, Na
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/03/01
Bamboo forest
Expansion intensity
Vegetation phenology
SAR
Google Earth Engine
A comprehensive analysis of the Bencao (herbal) small RNA Atlas reveals novel RNA therapeutics for treating human diseases
期刊论文
OAI收割
SCIENCE CHINA-LIFE SCIENCES, 2023, 页码: 19
作者:
Cao, Yinghao
;
Lin, Yexuan
;
Sun, Na
;
Du, Xinyi
;
Dong, Yixin
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/10/17
small RNA
herbal decoction
cross-kingdom regulation
traditional Chinese medicine
RNA oligonucleotide drug
RNA therapeutics
Bencao small RNA Atlas
Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2020-2026
作者:
Du, Haiping
;
Teng, Siyu
;
Chen, Hong
;
Ma, Jiaqi
;
Wang, Xiao
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/11/17
Chatbots
Intelligent vehicles
Uncertainty
Testing
Artificial intelligence
Safety
Autonomous vehicles
Neural language programming
intelligent vehicles
human-vehicle interaction
intelligent transportation systems