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Synthesis of a New Polysiloxane Modified Polyurethane

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Chinese Chemical Letters 2006年第5期17卷 581-583页

作者： wei feng jiang shi gui zhao yun xia qi School of Material Science and Engineering Shandong University Jinan 250061

In this paper, a new polymer of polysiloxane modified polyurethane was synthesized by using H-containing silicone oil, toluene diisocyanate（TDI）, 1,4-butanediol and unsaturated polyether.

关键词： Polyurethane polysiloxane synthesis.

Solar X-ray and EUV imager on board the FY-3E satellite

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Light(Science & Applications) 2022年第12期11卷 2939-2951页

作者： Bo Chen xiao-xin Zhang Ling-Ping He Ke-Fei Song shi-Jie Liu Guang-xing Ding Jin-Ping Dun Jia-wei Li zhao-Hui Li Quan-feng Guo Hai-feng Wang xiao-Dong Wang yun-qi Wang Hong-Ji Zhang Guang Zhang Zhen-wei Han Shuang Dai Pei-Jie Zhang Liang Sun yang Liu software engineer Peng Wang Kun Wu Chen Tao shi-Lei Mao gui Mei Liang yang Li-Heng Chen Chun-yang Han Bin Huang yang Liu mechanical engineer Shuai Ren Peng Zhou Ze-Xiwei xiao-Xue Zhang Yue Zhang xin Zheng yang Wang Ya Chen Jing-jiang Xie Fei He qiao Song wei-Guo Zong Xiu-qing Hu Peng Zhang Jing-Song Wang Zhong-Dong yang Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina State Key Laboratory of Applied Optics Chinese Academy of SciencesChangchunChina National Satellite Meteorological Center China Meteorological AdministrationBeijingChina Key Laboratory of Space Weather National Center for Space WeatherChina Meteorological AdministrationBeijingChina Innovation Center for fengyun Meteorological Satellite(FYSIC) BeijingChina Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina

The solar X-ray and Extreme Ultraviolet Imager(X-EUVI),developed by the Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences(CIOMP),is the first space-based solar X-ray and Extreme ultraviolet(EUV)imager of China loaded on the fengyun-3E(FY-3E)satellite supported by the China Meteorological Administration(CMA)for solar *** started work on July 11,2021,X-EUVI has obtained many solar *** instrument employs an innovative dual-band design to monitor a much larger temperature range on the Sun,which covers 0.6-8.0 nm in the X-ray region with six channels and 19.5 nm in the EUV region.X-EUVI has a field of view of 42′,an angular resolution of 2.5″per pixel in the EUV band and an angular resolution of 4.1″per pixel in the X-ray *** instrument also includes an X-ray and EUV irradiance sensor(X-EUVS)with the same bands as its imaging optics,which measures the solar irradiance and regularly calibrates the solar *** radiometric calibration of X-EUVS on the ground has been completed,with a calibration accuracy of 12%.X-EUVI is loaded on the FY-3E satellite and rotates relative to the Sun at a uniform ***-field calibration is conducted by utilizing successive rotation solar *** agreement between preliminarily processed X-EUVI images and SDO/AIA and Hinode/XRT images indicates that X-EUVI and the data processing algorithm operate properly and that the data from X-EUVI can be applied to the space weather forecast system of CMA and scientific investigations on solar activity.

关键词： image instrument Solar

Long-term analysis of clear nights using satellite data considering astronomical sites in western China

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Research in Astronomy and Astrophysics 2020年第6期20卷 96-108页

作者： Zi-Huang Cao Li-Yong Liu Yong-Heng zhao Lu feng Hugh RAJones Huang Shen Jin-xin Hao Yan-Jie Xue Yong-qiang Yao Jing Xu Ali Esamdin zhao-xiang qi Jian-Rong shi Jian Li Yuan Tian Zheng Wang Tai-Sheng Yan xia Wang Jian-Ping Xiong Si-Cheng Yu Jun-Bo Zhang Zhi-xia Shen yun-Ying jiang Jia Yin Guang-xin Pu Peng wei Chun-Hai Bai Guo-Jie feng Lu Ma Teng-Fei Song Jian-feng Wang Jian-feng Tian xian-Qun Zeng Zhi-Gang Hou shi-Long Liao Zhi-Song Cao Dong-wei Fan yun-Fei Xu Chang-Hua Li Yi-Han Tao National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Centre for Astrophysics University of HertfordshireHatfieldUK School of Journalism.Communication University of China Beijing 100024China xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China yunnan Observatories Chinese Academy of SciencesKunming 650216China

A large ground-based optical/infrared telescope is being planned for a world-class astronomical site in *** cloud-free night percentage is the primary meteorological consideration for evaluating candidate *** data from GMS and NOAA satellites and the MODIS instrument were utilized in this research,covering the period from 1996 to *** data analysis benefits from overlapping results from different independent teams as well as a uniform analysis of selected sites using GMS+NOAA *** significant ground-based monitoring is needed to validate these findings,we identify three different geographical regions with a high percentage of cloud-free conditions(~83%on average),which is slightly lower than at Mauna Kea and Cerro Armazones(~85%on average)and were chosen for the large international projects TMT and ELT *** study finds evidence that cloud distributions and the seasonal changes affected by the prevailing westerly winds and summer monsoons reduce the cloud cover in areas influenced by the *** is consistent with the expectations from climate change models and is suggestive that most of the identified sites will have reduced cloud cover in the future.

关键词： methods statistical-site testing-atmospheric effects-MODIS

Data processing and data products from 2017 to 2019 campaign of astronomical site testing at Ali,Daocheng and Muztagh-ata

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Research in Astronomy and Astrophysics 2020年第6期20卷 109-130页

作者： Zi-Huang Cao Jin-xin Hao Lu feng Hugh RAJones Jian Li Jing Xu Li-Yong Liu Teng-Fei Song Jian-feng Wang Hua-Lin Chen Yan-Jie Xue Huang Shen Yong-Heng zhao zhao-xiang qi Jian-Rong shi Yuan Tian Zheng Wang xia Wang Jin-Liang Hou Jin-Ming Bai Ji yang Xu Zhou Yong-qiang Yao Jia Yin Ali Esamdin Guang-xin Pu Peng wei Chun-Hai Bai Guo-Jie feng Lu Ma Xuan Zhang Yu Liu Chong Pei Zhi-xia Shen yun-Ying jiang Jian-feng Tian xian-Qun Zeng Zhi-Gang Hou Xu yang Jun-Bo Zhang shi-Long Liao Dong-wei Fan yun-Fei Xu Jian-Ping Xiong Tai-Sheng Yan Xi Zhang Chang-Hua Li Yi-Han Tao Si-Cheng Yu Zhi-Song Cao Hong-Shuai Wang National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Centre for Astrophysics University of HertfordshireHatfieldUK School of Journalism Communication University of ChinaBeijing 100024China Nanjing Institute of Astronomical Optics&Technology Chinese Academy of SciencesNanjing 210042China xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China yunnan Observatories Chinese Academy of SciencesKunming 650216China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210033China Beijing Kaiyang Space Technology Co. LtdBeijing 100085China

Based on previous site testing and satellite cloud data,Ali,Daocheng and Muztagh-ata have been selected as candidate sites for the Large Optical/Infrared Telescope(LOT) in *** present the data collection,processing,management and quality analysis for our site testing based on using similar *** analyze meteorological data,seeing,background light,cloud and precipitable water vapor data from 2017 March 10 to 2019 March *** also investigated the relative usefulness of our all-sky camera data in comparison to that from the meteorological TERRA satellite data based on a night-by-night comparison of the correlation and consistency between *** find a 6% discrepancy arising from a wide range of factors.

关键词： LOT Site-selection-data processing

The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-Li Luo Yong-Heng zhao Gang zhao Li-Cai Deng xiao-wei Liu Yi-Peng Jing Gang Wang Hao-Tong Zhang Jian-Rong shi xiang-Qun Cui Yao-Quan Chu Guo-Ping Li Zhong-Rui Bai Yue Wu Yan Cai Shu-yun Cao Zi-Huang Cao Jeffrey L.Carlin Hai-Yuan Chen Jian-Jun Chen Kun-xin Chen Li Chen Xue-Lei Chen xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui Yi-qiao Dong Bing Du Dong-wei Fan Lei feng Jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-xin Guo Zhan-Wen Han Bo-Liang He Jin-Liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Zhi-Ying Huo Lei Jia Fang-Hua jiang xiang jiang Zhi-Bo jiang Ge Jin xiao Kong Xu Kong Ya-Juan Lei Ai-Hua Li Chang-Hua Li Guang-wei Li Hai-Ning Li Jian Li qi Li Shuang Li Sha-Sha Li xin-Nan Li Yan Li Yin-Bi Li Ye-Ping Li Yuan Liang Chien-Cheng Lin Chao Liu Gen-Rong Liu Guan-Qun Liu Zhi-Gang Liu Wen-Zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg Ji-Jun Ni zhao-xiang qi Yong-Jun qi shi-Yin Shen Huo-Ming shi Jing Song Yi-Han Song Ding-qiang Su Hong-Jun Su Zheng-Hong Tang qing-Sheng Tao Yuan Tian Dan Wang Da-qi Wang feng-Fei Wang Guo-Min Wang Hai Wang Hong-Chi Wang Jian Wang Jia-Ning Wang Jian-Ling Wang Jian-Ping Wang Jun-xian Wang Lei Wang Meng-xin Wang Shou-Guan Wang Shu-qing Wang xia Wang Ya-Nan Wang You Wang Yue-Fei Wang You-Fen Wang Peng wei Ming-Zhi wei Hong Wu Ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu xiao-Zheng xing Ling-Zhe Xu xin-qi Xu Yan Xu Tai-Sheng Yan De-Hua yang Hai-feng yang Hui-qin yang Ming yang Zheng-qiu Yao Yong Yu Hui Yuan Hai-Bo Yuan Hai-Long Yuan wei-Min Yuan Chao Zhai En-Peng Zhang Hua-wei Zhang Jian-Nan Zhang Li-Pin Zhang wei Zhang Yong Zhang Yan-xia Zhang Zheng-Chao Zhang Ming zhao Fang Zhou Xu Zhou Jie Zhu Yong-Tian Zhu Si-Cheng Zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU Dong Shan CHEN Ren Bo shi Nan Nan LIU Si Hong FAN Yi Pin WU gui Hui yang Pu Ye BAI jiang feng CHEN Hong CHEN Li Ying feng qiao GUO Tuan Mao HOU Yong HU gui Fen HU xiao Mei HU yun Hong HUANG Jin HUANG qiu Hua HUANG Shao Zhen JI Liang JIN Hai Hao LEI xiao LI Chun Yan LI Min qing LI Qun Tang LI xian Yong LIU Hong De LIU Jin Ping LIU Zhang MA Yu Ting MAO Ya MO Liu Fen NA Hui WANG Jing wei SONG Fang Li SUN Sheng WANG Dong Ting WANG Ming Xuan WANG xiao Yan WANG Yin Zhen WANG Yu Dong WU wei WU Lan Ping xiaO Yan Hua XIE Hai Jun XU Hong Ming XU Shou Fang XUE Rui xia yang Chun yang Kai Jun YUAN Sheng Li ZHANG Gong qi ZHANG Jin Bo ZHANG Lin Song zhao Shu Sen zhao Wan Ying ZHENG Kai ZHOU Ying Chun ZHU Jun Teng ZHU Tian qing ZHANG Hua Min WANG Yan Ping WANG Yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

Lung-protective Ventilation in Patients with Brain Injury： A Multicenter Cross-sectional Study and Questionnaire Survey in China

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Chinese Medical Journal 2016年第14期129卷 1643-1651页

作者： Xu-Ying Luo Ying-Hong Hu xiang-Yuan Cao Yan Kang Li-Ping Liu Shou-Hong Wang Rong-Guo Yu xiang-You Yu xia Zhang Bao-Shan Li Zeng-xiang Ma Yi-Bing Weng Heng Zhang De-Chang Chen wei Chen Wen-Jin Chen Xiu-Mei Chen Bin Du Mei-Li Duan Jin Hu yun-feng Hoang gui-Jun Jia Li-Hong Li Yu-Min Liang Bing-Yu qin xian-Dong Wang Jian Xiong Li-Mei Yan Zheng-Ping yang Chen-Ming Dong Dong-xin Wang qing-Yuan Zhan Shuang-Lin FU Lin zhao qi-Bing Huang Ying-Guang Xie xiao-Bo Huang Guo-Bin Zhang Wang-Bin Xu Yuan Xu YaLing Liu He-Ling zhao Rong-qing Sun Ming Sun qing-Hong Cheng xin Qu xiao-feng yang Ming Xu Zhong-Hua shi Han Chen Xuan He Yan-Lin yang Guang-qiang Chen Xiu-Mei Sun Jian-xin Zhou Department of Critical Care Medicine Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou Zhejiang 310009 China Department of Critical Care Medicine General Hospital of Ningxia Medical University Yinchuan Ningxia 750004 China Department of Critical Care Medicine West China Hospital Sichuan University Chengdu Sichuan 610041 China Neurological Intensive Care Unit Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Guangdong General Hospital Guangzhou Guangdong 510000 China Surgical Intensive Care Unit Fujian Province Hospital Fuzhou Fujian 350000 China Department of Critical Care Medicine First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Critical Care Medicine Bethune International Peace Hospital Shijiazhuang Hebei 050000 China Department of Critical Care Medicine Yuncheng Central Hospital Yuncheng Shanxi 044000 China Department of Emergency and Critical Care Medicine Cangzhou People's Hospital Cangzhou Hebei 061000 China Department of Critical Care Medicine Beijing Luhe Hospital Capital Medical University Beijing 101100 China Department of Critical Care Medicine First Hospital of China Medical University Shenyang Liaoning 110000 China Department of Critical Care Medicine Shanghai Changzheng Hospital Shanghai 200000 China Department of Critical Care Medicine Beijing Shijitan Hospital Capital Medical University Beijing 100038 China Department of Critical Care Medicine Xuanwu Hospital Capital Medical University Beijing 100053 China Department of Critical Care Medicine Miyun County Hospital Beijing 100038 China Medical Intensive Care Unit Peking Union Medical College Hospital Beijing 101500 China Department of Critical Care Medicine Beijing Friendship Hospital Capital Medical University Beijing 100050 Chin

Background： Over the years, the mechanical ventilation （MV） strategy has changed worldwide. The aim of the present study was to describe the ventilation practices, particularly lung-protective ventilation （LPV）, among brain-injured patients in China. Methods： This study was a multicenter, 1-day, cross-sectional study in 47 Intensive Care Units （ICUs） across China. Mechanically ventilated patients （18 years and older） with brain injury in a participating ICU during the time of the study, including traumatic brain injury, stroke, postoperation with intracranial tumor, hypoxic-ischemic encephalopathy, intracranial infection, and idiopathic epilepsy, were enrolled. Demographic data, primary diagnoses, indications for MV, MV modes and settings, and prognoses on the 60th day were collected. Multivariable logistic analysis was used to assess factors that might affect the use of LPV. Results： A total of 104 patients were enrolled in the present study, 87 （83.7%） of whom were identified with severe brain injury based on a Glasgow Coma Scale 〈8 points. Synchronized intermittent mandatory ventilation （SIMV） was the most frequent ventilator mode, accounting for 46.2% of the entire cohort. The median tidal volume was set to 8.0 ml/kg （interquartile range [IQR], 7.0-8.9 ml/kg） of the predicted body weight; 50 （48.1%） patients received LPV. The median positive end-expiratory pressure （PEEP） was set to 5 cmH20 （IQR, 5-5 cmH20）. No PEEP values were higher than 10 cmH20. Compared with partially mandatory ventilation, supportive and spontaneous ventilation practices were associated with LPV. There were no significant differences in mortality and MV duration between patients subjected to LPV and those were not. Conclusions： Among brain-injured patients in China, SIMV was the most frequent ventilation mode. Nearly one-half of the brain-injured patients received LPV. Patients under supportive and spontaneous ventilation were more likely to receive LPV.

关键词： Brain Injury Epidemiology Lung-protective Ventilation Mechanical Ventilation

Expert Consensus on Pathological Diagnosis of Intrahepatic Cholangiocarcinoma(2022 version)

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Journal of Clinical and Translational Hepatology 2023年第7期11卷 1553-1564页

作者： Han Wang Jun Chen xin Zhang xia Sheng xiao-Yan Chang Jie Chen Min-Shan Chen Hui Dong Guang-Jie Duan He-Ping Hu Zhi-Yong Huang wei-Dong Jia xiao-qing jiang Dong Kuang Shan-Shan Li Zeng-Shan Li Chang-Li Lu Shu-Kui qin Xue-Shan qiu Li-Juan Qu Chun-Kui Shao feng Shen Guo-Ming shi Su-Sheng shi Yu-Jun shi Hui-Chuan Sun xiao-Dong Teng Bin Wang Zhan-Bo Wang Tian-Fu Wen Jia-Mei yang qiao-qiao yang Sheng-Long Ye Hong-Fang Yin Zhen-Gang Yuan Jing-Ping yun feng-Lin Zang Hong-qi Zhang Li-Hong Zhang Jing-Min zhao Jian Zhou wei-Xun Zhou Jia Fan xiao-Ping Chen Wan Yee Lau Yuan Ji Wen-Ming Cong Chinese Society of Liver Cancer of Chinese Anti-Cancer Association Digestive Disease Group of Chinese Society of Pathology,Chinese Medical Association Chinese Society of Pathology of Chinese Anti-Cancer Association Hepatic Surgery Group of Chinese Society of Surgery,Chinese Medical Association Biliary Tract Tumor Committee of China Anti-Cancer Association Chinese Society of Clinical Oncology IDepartment of Pathology Eastern Hepatobilary Surgery HospitalNaval Medical UniversityShanghaiChina Department of Pathology the Affiliated Drum Tower HospitalNanjing University Medical SchoolNanjingJiangsuChina Department of Pathology Zhongshan HospitalFudan UniversityShanghaiChina Department of Pathology Minhang HospitalFudan Uni-versityShanghaiChina Department of Pathology Peking Union Medical College HospitalChinese Academy of Medical Sci-ences and Peking Union Medical CollegeBeijingChina Department of Liver Surgery Sun Yat-Sen University Cancer CenterGuangzhouGuangdongChina Department of Pathology The First Affiliated HospitalArmy Medical UniversityChongqingChina Department of Hepatobiliary Medicine Eastern Hepatobiliary Surgery HospitalNaval Medical UniversityShanghaiChina Hepatic Surgery Center Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWu-hanHubeiChina Department of General Surgery The First Affliated Hospital of USTCDivision of Life Science and Medi-cineUniversity of Science and Technology of ChinaHefeiAnhuiChina Department of Biliary Surgery I Eastern Hepatobil-iary Surgery HospitalNaval Medical UniversityShanghaiChina Department of Pathology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina Department of Pathology The First Afiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenanChina Department of Pathology Xijing Hospi-talAir Force Medical UniversityXi'anShaanxiChina Department of Pathology West China HospitalSichuan UniversityChengduSichuanChina Cancer Center of Jinling Hospital Nanjing University of Chinese MedicineNanjingJiangsuChina Department of Pathology The First Affiliated HospitalChina Medical UniversityShenyangLiaoningChina Department of Pathology The 900 Hospital of the Chinese People's Liberation Army Joint Logistics TeamFuzhouFujianChina Department of Pathology The Third Affiliated HospitalSun Yat-Sen UniversityGuangz

Intrahepatic cholangiocarcinoma(iCCA)can originate from the large bile duct group(segment bile ducts and area bile ducts),small bile duct group(septal bile ducts and interlobular bile ducts),and terminal bile duct group(bile ductules and canals of Hering)of the intrahepatic biliary tree,which can be histopathological corresponding to large duct type iCCA,small duct type iCCA and iCCA with ductal plate malformation pattern,and cholangiolocarcinoma,*** challenge in pathological diagnosis of above subtypes of iCCA falls in the distinction of cellular morphologies,tissue structures,growth patterns,invasive behaviors,immunophenotypes,molecular mutations,and surgical *** these reasons,this expert consensus provides nine recommendations as a reference for standardizing and refining the diagnosis of pathological subtypes of iCCA,mainly based on the 5th edition of the World Health Organization Classification of Tumours of the Digestive System.

关键词： Intrahepatic cholangiocarcinoma Pathology Histological type Immunohistochemistry Molecular variation

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有机硅—聚氨酯共聚物的研究进展

山东化工 2006年第1期35卷 15-18页

作者：姜伟峰赵士贵戚云霞史国华山东大学材料科学与工程学院山东济南250061

综述了有机硅改性聚氨酯的合成方法和发展动向,探讨了相分离及其对材料的影响,并简要介绍了其应用。

关键词：有机硅聚氨酯共聚物应用