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| 1 | Developing the Science Product Algorithm Testbed for Chinese Next-Generation Geostationary Meteorological Satellites:Fengyun-4 Series显示文摘Fengyun-4A(FY-4A), the first of the Chinese next-generation geostationary meteorological satellites, launched in2016, offers several advances over the FY-2: more spectral bands, faster imaging, and infrared hyperspectral measurements. To support the major objective of developing the prototypes of FY-4 science algorithms, two science product algorithm testbeds for imagers and sounders have been developed by the scientists in the FY-4 Algorithm Working Group(AWG). Both testbeds, written in FORTRAN and C programming languages for Linux or UNIX systems, have been tested successfully by using Intel/g compilers. Some important FY-4 science products, including cloud mask, cloud properties, and temperature profiles, have been retrieved successfully through using a proxy imager, Himawari-8/Advanced Himawari Imager(AHI), and sounder data, obtained from the Atmospheric Infra Red Sounder, thus demonstrating their robustness. In addition, in early 2016, the FY-4 AWG was developed based on the imager testbed—a near real-time processing system for Himawari-8/AHI data for use by Chinese weather forecasters.Consequently, robust and flexible science product algorithm testbeds have provided essential and productive tools for popularizing FY-4 data and developing substantial improvements in FY-4 products. | Min MIN Chunqiang WU Chuan LI Hui LIU Na XU Xiao WU Lin CHEN Fu WANG Fenglin SUN Danyu QIN Xi WANG Bo LI Zhaojun ZHENG Guangzhen CAO Lixin DONG | 2017 | Journal of Meteorological Research2017，31，4： | 35 |
| 2 | Parametric regression models for continuous time removal and recapture studies 显示文摘 | Lin Danyu Yip P S F | 1999 | Journal of the Royal Statistical Society Series B1999，61，： | 1 |
| 3 | 显示文摘 | Lin Yue Gao Wei Zhang Danyu | 2006 | J Am Chem Soc2006，128，11： | 1 |
| 4 | Colloids seeded deposition:Growth of titania nanotubes in solution显示文摘 | Yue Lin Gao Wei Zhang Danyu | 2006 | J Am Chem Soc2006，128，11： | 1 |
| 5 | Editorial显示文摘Thanks to the efforts of many people,we are so delighted to see that the first issue of Statistical Theory and Related Fields(STARF)is published!At this moment,we would like to express our sincere gratitude to the East China Normal University(ECNU),the Chinese Association for Applied Statistics(CAAS),and Taylor&Francis(T&F),for their thoughtfully sponsoring and publishing jointly the STARF;to the authors of the 13 excellent articles in the first issue of STARF for their great supports;to the members of our editorial board for their efforts in handling papers in a short time period;to the staffs from the Department of Serial Publication at ECNU,from the School of Statistics at ECNU,and from T&F,for their efficient administrative and coordination work to make the new journal running well. | Jun Shao Dongchu Sun Danyu Lin | 2017 | Statistical Theory and Related Fields2017，1，1： | 0 |
| 6 | Editorial foreword显示文摘Statistical Theory and Related Fields ushered into its sec-ond year.Again,we would like to take this opportunityto express our sincere gratitude to all the authors andsupporters of this journal.The first article in the first issue of 2018 is a reviewpaper by Prentice and Huang for nutritional epidemi-ology methods,which reviews statistical challenges aswell as opportunities in obtaining reliable informationon dietary approaches to chronic disease prevention.This article is followed by three discussion papers,byFreedman and Shaw,Spiegelman,and Lin,and a rejoin-der by Prentice and Huang.The discussions and rejoin-der add more extensive results and extensions. | Jun Shao Dongchu Sun Danyu Lin | 2018 | Statistical Theory and Related Fields2018，2，1： | 0 |
| 7 | Second Issue,2017显示文摘After the successful publication of the first issue of Statistical Theory and Related Fields in August,we are very happy to see the second issue in print.We would like to take this opportunity to express our sincere gratitude to all the supporters of this journal. | Jun Shao Dongchu Sun Danyu Lin | 2017 | Statistical Theory and Related Fields2017，1，2： | 0 |
| 8 | Fabrication of UV responsive micelles-containing multilayers and their influence on cell adhesion显示文摘Multilayers incorporated with stimuli-responsive substances by means of layer-by-layer(LbL) self-assembly are much attractive due to their advantages of stimuli-responsiveness and potential applications in different fields. In this study, pyrenemethyl acrylate(PA) was synthesized, and was copolymerized with acrylic acid(AA) to obtain the amphiphilic and photodegradable P(PA-co-AA)polymers with a PA:AA molar ratio of 1.3:3, and an average molecular weight of 6.9 kDa and polydispersity index of 1.04. They formed micelles spontaneously when dispersed in aqueous solution with a size of 27.5 nm in a dry state and 136.6 nm in a wet state. The micelles were readily decomposed to form aggregates as a result of the cleavage of the pyrenemethyl ester bonds under UV-irradiation. UV-responsive micelles-containing multilayers were prepared by LbL self-assembly of the UV-responsive micelles and polyallylamine hydrochloride(PAH). UV-irradiation of the multilayers resulted in the decomposition of micelles, leading to larger surface roughness, and enhanced swelling ratio and wettability of the multilayers. In vitro culture of A549, HepG2 and endothelial cells showed significantly better adhesion at 4 h on the UV-illuminated multilayers, whereas the cell proliferation was not affected significantly until 5 d. | Haolan Zhang Danyu Wang Xue Lin Nikolaos Politakos Jimena S. Tuninetti Sergio Enrique Moya Changyou Gao | 2018 | Science China Chemistry2018，61，1： | 0 |
| 9 | Editorial foreword显示文摘Statistical Theory and Related Fields is now in its thirdyear of publication. The first article in this first issue of2019 is a discussion paper by professors Bayarri, Berger,Jang, Ray, Pericchi, and Visser with the exciting topicon prior-based Bayesian information criterion for variable selection. Variable selection is a key componentfor dimension reduction in modern statistical applications in the big data era. Both Bayesian and frequentistapproaches have shown their potentials in handlingvariable selection in the past two decades, but bothface various challenges. This article shows a pioneering idea of adding the prior into the penalty term forvariable selection and having different effective sample sizes for different model parameters. The article isfollowed by a total of nine discussions written by wellknown researchers in the area of variable selection, eachof them exhibits some interesting research topics assummarised in the authors’ rejoinder. Started from thetwo issues in 2018, Statistical Theory and Related Fieldscontinues to publish this type of discussion papers andrelated discussions for important topics in statisticaltheory and applications. | Jun Shao Dongchu Sun Danyu Lin | 2019 | Statistical Theory and Related Fields2019，3，1： | 0 |
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