CROSS

作品数:1501被引量:1977H指数:15
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相关机构:对外经济贸易大学中国科学院四川大学清华大学更多>>
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Systematic identification of CRISPR off-target effects by CROss-seq
《Protein & Cell》2023年第4期299-303,共5页Yan Li Shengyao Zhi Tong Wu Hong-Xuan Chen Rui Kang Dong-Zhao Mai Zhou Songyang Chuan He Puping Liang Guan-Zheng Luo 
supported by the Ministry of Science and Technology of China to G.Z.L.(National Science and Technology Major Project,grant nos.2018YFA0109100,2019YFA0802203);National Natural Science Foundation of China to G.z.L.(Grant Nos.31922015,31870808,91753129);Natural Science Foundation of Guangdong Province to G.Z.L.(Grant No.2018B030306044);Guangdong Special Support Program to P.L.(2019BT02Y276).
DearEditor,The CRISPR-mediated genome editing tools,including nucleases,base editors(ABE/CBE),transposases/recombinases,and prime editor(PE),have been extensively applied in basic and clinical researches,although the ...
关键词:CRISPR VERSATILE EDITOR 
Research on discharge phenomenon caused by cross‐adsorption of linear insulating fibre and metal dust under DC voltage
《High Voltage》2022年第2期269-278,共10页Ruixue Liang Qi Hu Heng Liu Jian Wang Qingmin Li 
supported in part by the National Basic Research Program of China(973 Program)(2014CB239500);National Natural Science Foundation of China(51737005&51807060);Beijing Municipal Natural Science Foundation(3192036);the Fundamental Research Funds for the Central Universities(2018MS165).
A large amount of metal dust is often generated during production and operation of Gas Insulated Switchgear/Gas‐Insulated Transmission Line,and insulating fibres are very easy to mix in during assembly.The discharge ...
关键词:jointly FIBRE fibres 
Cross-Target Transfer Algorithm Based on the Volterra Model of SSVEP-BCI被引量:5
《Tsinghua Science and Technology》2021年第4期505-522,共18页Jiajun Lin Liyan Liang Xu Han Chen Yang Xiaogang Chen Xiaorong Gao 
supported by the National Key Basic Research and Development Program of China (No.2017YFB1002505);Key Research and Development Program of Guangdong Province (No. 2018B030339001);the National Natural Science Foundation of China (No.61431007)。
In general, a large amount of training data can effectively improve the classification performance of the Steady-State Visually Evoked Potential(SSVEP)-based Brain-Computer Interface(BCI) system. However, it will prol...
关键词:Steady-State Visual y Evoked Potential(SSVEP) Brain-Computer Interface(BCI) Volterra filter cross-target information transfer learning 
Three-dimensional circulation in northern South China Sea during early summer of 2015
《Acta Oceanologica Sinica》2021年第7期1-14,共14页Huiqun Wang Yaochu Yuan Weibing Guan Chenghao Yang Dongfeng Xu 
The Joint Project of Guangxi-Provincial and China-National Natural Science Foundations under contract No.U20A20104;the National Basic Research Program of China under contract No.2014CB441501;the National Natural Science Foundation of China under contract Nos 41830540 and 42076216;the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)under contract No.311020003;the Project of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resources,under contract Nos SOEDZZ2101 and SOEDZZ2003.
Using the hydrographic data obtained during two nearly simultaneous surveys in June 2015,we carried out semi-diagnostic calculations with the help of a finite element model and a modified inverse method,to study the c...
关键词:South China Sea CIRCULATION numerical model cross-continental slope current seasonality of cross-continental slope current 
Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis被引量:5
《Genomics, Proteomics & Bioinformatics》2020年第3期256-270,共15页Jihong Hu Tao Zeng Qiongmei Xia Liyu Huang Yesheng Zhang Chuanchao Zhang Yan Zeng Hui Liu Shilai Zhang Guangfu Huang Wenting Wan Yi Ding Fengyi Hu Congdang Yang Luonan Chen Wen Wang 
the National Basic Research Program of China(Grant No.2013CB835200);the National Key R&D Program of China(Grant No.2017YFA0505500);the Key Grant of Yunnan Provincial Science and Technology Department(Grant No.2013GA004);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB13040700);the National Natural Science Foundation of China(Grant Nos.11871456 and 31771476);the Shanghai Municipal Science and Technology Major Project(Grant No.2017SHZDZX01);the Open Research Fund of State Key Laboratory of Hybrid Rice(Wuhan University,Grant No.KF201806),China。
Significantly increasing crop yield is a major and worldwide challenge for food supply and security.It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide.Yet,the g...
关键词:Dynamic cross-tissue(DCT) Systems biology RNA-SEQ Ultrahigh yield Rice 
CGNet:cross-guidance network for semantic segmentation被引量:11
《Science China(Information Sciences)》2020年第2期49-64,共16页Zhijie ZHANG Yanwei PANG 
supported in part by the Science and Technology Innovation 2030-Major Project of Artificial Intelligence of the Ministry of Science and Technology of China(Grant No.2018AAA01028);part by National Natural Science Foundation of China(Grant No.61632018).
Semantic segmentation is a fundamental task in image analysis.The issue of semantic segmentation is to extract discriminative features for distinguishing different objects and recognizing hard examples.However,most ex...
关键词:SEMANTIC SEGMENTATION fully convolutional networks pyramid NETWORK edge DETECTION saliency DETECTION cross-guidance 
Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat (Triticum aestivum L.)被引量:10
《The Crop Journal》2018年第4期353-365,共13页Ji Yao Dehui Zhao Xinmin Chen Yong Zhang Jiankang Wang 
supported by the National Key Basic Research Program of China(2014CB138105);the National Natural Science Foundation of China(31371623)
In wheat breeding, it is a difficult task to select the most suitable parents for making crosses aimed at the improvement of both grain yield and grain quality. By quantitative genetics theory,the best cross should ha...
关键词:Breeding simulation Cross prediction Genomic selection Parental selection USEFULNESS 
Intrusions of Kuroshio and Shelf Waters on Northern Slope of South China Sea in Summer 2015被引量:2
《Journal of Ocean University of China》2018年第3期477-486,共10页LI Denghui ZHOU Meng ZHANG Zhaoru ZHONG Yisen ZHU Yiwu YANG Chenghao XU Mingquan XU Dongfeng HU Ziyuan 
supported by the National Basic Research Program of China (No. 2014CB441500);the National Natural Science Foundation of China (No. 41406021)
The northern slope region of the South China Sea(SCS) is a biological hot spot characterized by high primary productivity and biomasses transported by cross-shelf currents, which support the spawning and growth of com...
关键词:South China Sea shelf water Kuroshio water geostrophic currents cross-slope current 
Combined classifier for cross-project defect prediction: an extended empirical study被引量:2
《Frontiers of Computer Science》2018年第2期280-296,共17页Yun ZHANG David LO Xin XIA Jianling SUN 
Acknowledgements This research was supported by the National Natural Science Foundation of China (Grant No. 61602403) and National Key Technology R&D Program of the Ministry of Science and Technology of China (2015BAH17F01).
To facilitate developers in effective allocation of their testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes...
关键词:defect prediction cross-project classifier combination 
An Adaptive Lagrangian Algorithm for Optimal Portfolio Deleveraging with Cross-Impact被引量:1
《Journal of Systems Science & Complexity》2017年第5期1121-1135,共15页XU Fengmin SUN Min DAI Yuhong 
supported by the Chinese Natural Science Foundation under Grant Nos.11571271,11331012,71331001,11631013;the National Funds for Distinguished Young Scientists under Grant No.11125107;the National 973 Program of China under Grant No.2015CB856000
This paper considers the problem of optimal portfolio deleveraging, which is a crucial problem in finance. Taking the permanent and temporary price cross-impact into account, the authors establish a quadratic program ...
关键词:Adaptive Lagrangian algorithm deleveraging price cross-impact 
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