中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
金属研究所 [2]
计算技术研究所 [2]
自动化研究所 [2]
西安光学精密机械研究... [2]
烟台海岸带研究所 [2]
上海药物研究所 [1]
更多
采集方式
OAI收割 [13]
_filter
_filter
_filter
筛选
浏览/检索结果:
共13条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Distribution, sources, and eco-risk of Current-Use Pesticides (CUPs) in the coastal waters of the northern Shandong Peninsula, China
期刊论文
OAI收割
MARINE POLLUTION BULLETIN, 2024, 卷号: 201, 页码: 9
作者:
Cao, Zhijian
;
Ding, Yunhao
;
Zhang, Lihong
;
Zhang, Jian
;
Liu, Lin
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/10/24
Current-use pesticides (CUPs)
Shandong Peninsula coastal waters
Seasonal variations
Ecological risk
Distribution, sources, and eco-risk of Current-Use Pesticides (CUPs) in the coastal waters of the northern Shandong Peninsula, China
期刊论文
OAI收割
MARINE POLLUTION BULLETIN, 2024, 卷号: 201, 页码: 9
作者:
Cao, Zhijian
;
Ding, Yunhao
;
Zhang, Lihong
;
Zhang, Jian
;
Liu, Lin
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/05/23
Current-use pesticides (CUPs)
Shandong Peninsula coastal waters
Seasonal variations
Ecological risk
CNN-Based Broad Learning for Cross-Domain Emotion Classification
期刊论文
OAI收割
TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369
作者:
Zeng, Rong
;
Liu, Hongzhan
;
Peng, Sancheng
;
Cao, Lihong
;
Yang, Aimin
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2022/11/14
Measurement
Deep learning
Adaptation models
Feature extraction
Convolutional neural networks
Data mining
Task analysis
cross-domain emotion classification
CNN
broad learning
classifier
co-training
Multi-source domain adaptation method for textual emotion classification using deep and broad learning
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 260, 页码: 9
作者:
Peng, Sancheng
;
Zeng, Rong
;
Cao, Lihong
;
Yang, Aimin
;
Niu, Jianwei
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2023/02/22
Multi-domain
Emotion classification
BERT
Broad learning
Bi-LSTM
Electronic and Topological Properties of Ultraflat Stanene Functionalized by Hydrogen and Halogen Atoms
期刊论文
OAI收割
JOURNAL OF ELECTRONIC MATERIALS, 2021, 页码: 7
作者:
Zhao, Huiyan
;
Zhu, Pengfei
;
Wang, Qian
;
Cao, Huawei
;
Wu, Ge
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/12/01
Ultraflat stanene
first-principles calculations
functionalization
electronic and topological properties
Investigation of native defects and impurities in X-N (X = Al, Ga, In)
期刊论文
OAI收割
COMPUTATIONAL MATERIALS SCIENCE, 2021, 卷号: 188, 页码: 9
作者:
Chen, Yingjie
;
Wu, Liyuan
;
Liang, Dan
;
Lu, Pengfei
;
Wang, Jianjun
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/12/01
Group III nitrides
First-principles
Bulk modulus
Defect levels
Formation energies
Compressed ultrafast photography by multi-encoding imaging
期刊论文
OAI收割
LASER PHYSICS LETTERS, 2018, 卷号: 15, 期号: 11
作者:
Yang, Chengshuai
;
Qi, Dalong
;
Liang, Jinyang
;
Wang, Xing
;
Cao, Fengyan
  |  
收藏
  |  
浏览/下载:114/0
  |  
提交时间:2018/11/05
Ultrafast Imaging
Computational Imaging
Imaging Reconstruction
Optimizing codes for compressed ultrafast photography by the genetic algorithm
期刊论文
OAI收割
OPTICA, 2018, 卷号: 5, 期号: 2, 页码: 147-151
作者:
Yang, Chengshuai
;
Qi, Dalong
;
Wang, Xing
;
Cao, Fengyan
;
He, Yilin
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2018/12/11
Biomimetic Synthesis: Discovery of Xanthanolide Dimers
期刊论文
OAI收割
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2014, 卷号: 53, 期号: 52, 页码: 14494-14498
作者:
Shang, Hai
;
Liu, Junhua
;
Bao, Ruiyang
;
Cao, Yu
;
Zhao, Kun
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/01/08
biomimetic synthesis
cycloaddition
dimerization
natural products
photochemistry
N-methyl-D-aspartate receptor subunit expression in memory-related brain areas of lead-exposed rats
期刊论文
OAI收割
NEURAL REGENERATION RESEARCH, 2010, 卷号: 5, 期号: 23, 页码: 1787-1794
作者:
Zhu Qiwen
;
Hou Weijian
;
Zhao Jianwen
;
Yang Yu
;
Zhang Qi
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/02/02
SURFACE EXPRESSION
MESSENGER-RNA
HIPPOCAMPAL
NEUROTOXICITY
DISEASE
SYSTEM
INJURY
WATER
lead exposure
N-methyl-D-aspartate receptor
memory-related brain areas
neural regeneration
rats