46050-002: Hubei Huanggang Urban Environment Improvement Project
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Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Results Announcement for the Year Ended December 31, 2020
(GDR under the symbol "HTSC") RESULTS ANNOUNCEMENT FOR THE YEAR ENDED DECEMBER 31, 2020 The Board of Huatai Securities Co., Ltd. (the "Company") hereby announces the audited results of the Company and its subsidiaries for the year ended December 31, 2020. This announcement contains the full text of the annual results announcement of the Company for 2020. PUBLICATION OF THE ANNUAL RESULTS ANNOUNCEMENT AND THE ANNUAL REPORT This results announcement of the Company will be available on the website of London Stock Exchange (www.londonstockexchange.com), the website of National Storage Mechanism (data.fca.org.uk/#/nsm/nationalstoragemechanism), and the website of the Company (www.htsc.com.cn), respectively. The annual report of the Company for 2020 will be available on the website of London Stock Exchange (www.londonstockexchange.com), the website of the National Storage Mechanism (data.fca.org.uk/#/nsm/nationalstoragemechanism) and the website of the Company in due course on or before April 30, 2021. DEFINITIONS Unless the context otherwise requires, capitalized terms used in this announcement shall have the same meanings as those defined in the section headed “Definitions” in the annual report of the Company for 2020 as set out in this announcement. By order of the Board Zhang Hui Joint Company Secretary Jiangsu, the PRC, March 23, 2021 CONTENTS Important Notice ........................................................... 3 Definitions ............................................................... 6 CEO’s Letter .............................................................. 11 Company Profile ........................................................... 15 Summary of the Company’s Business ........................................... 27 Management Discussion and Analysis and Report of the Board ....................... 40 Major Events.............................................................. 112 Changes in Ordinary Shares and Shareholders .................................... 149 Directors, Supervisors, Senior Management and Staff.............................. -
Classics of Tea Sequel to the Tea Sutra Part II GLOBAL EA HUT Contentsissue 104 / September 2020 Tea & Tao Magazine Heavenly天樞 Turn
GLOBAL EA HUT Tea & Tao Magazine 國際茶亭 September 2020 Classics of Tea Sequel to the Tea Sutra Part II GLOBAL EA HUT ContentsIssue 104 / September 2020 Tea & Tao Magazine Heavenly天樞 Turn This month, we return once again to our ongo- ing efforts to translate and annotate the Classics of Tea. This is the second part of the monumental Love is Sequel to the Tea Sutra by Lu Tingcan. This volu- minous work will require three issues to finish. As changing the world oolong was born at that time, we will sip a tradi- tional, charcoal-roasted oolong while we study. bowl by bowl Features特稿文章 49 07 Wind in the Pines The Music & Metaphor of Tea By Steven D. Owyoung 15 Sequel to the Tea Sutra 17 Volume Four 03 Teaware 27 Volume Five Tea Brewing 49 Volume Six 27 Tea Drinking Traditions傳統文章 17 03 Tea of the Month “Heavenly Turn,” Traditional Oolong, Nantou, Taiwan 65 Voices from the Hut “Ascertaining Serenity” By Anesce Dremen (許夢安) 69 TeaWayfarer © 2020 by Global Tea Hut Anesce Dremen, USA All rights reserved. recycled & recyclable No part of this publication may be reproduced, stored in a retrieval sys- 從 tem or transmitted in any form or by 地 any means: electronic, mechanical, 球 天 photocopying, recording, or other- 升 起 wise, without prior written permis- 樞 Soy ink sion from the copyright owner. n September,From the weather is perfect in Taiwan.the grieve well. Theseeditor are a powerful recipe for transformation. We start heading outdoors for some sessions when Suffering then becomes medicine, mistakes become lessons we can. -
Built Environment and Early Infection of COVID-19 in Urban Districts: a Case Study of Huangzhou
Sustainable Cities and Society 66 (2021) 102685 Contents lists available at ScienceDirect Sustainable Cities and Society journal homepage: www.elsevier.com/locate/scs Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou Bo Li a,1, You Peng b,1, He He a, Mingshu Wang c,*, Tao Feng b a School of Architecture and Art, Central South University, 410083, Changsha, China b Urban Planning and Transportation Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, the Netherlands c Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, the Netherlands ARTICLE INFO ABSTRACT Keywords: Since COVID-19 spread rapidly worldwide, many countries have experienced significantgrowth in the number of Built environment confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion COVID-19 rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the GIS neighborhood-level detailing the spatial settings of built environment attributes, this study explored the varia DBSCAN tions in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of SEM Commercial prosperity Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically Medical service through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID- Transportation infrastructure 19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmedcases in an infectious cluster. -
Spatial Statistics and Influencing Factors of the Novel Coronavirus
Spatial statistics and inuencing factors of the novel coronavirus pneumonia 2019 epidemic in Hubei Province, China Yongzhu Xiong ( [email protected] ) Institute of Resources and Environmental Informatics Systems, Jiaying University https://orcid.org/0000-0002-4417-6409 Yunpeng Wang Guangzhou Institute of Geochemistry, Chinese Academy of Sciences Feng Chen College of Computer and Information Engineering, Xiamen University of Technology Mingyong Zhu Institute of Resources and Environmental Informatics Systems, Jiaying University Research Article Keywords: novel coronavirus pneumonia (NCP), spatial autocorrelation, inuencing factor, spatial statistics, Wuhan Posted Date: April 6th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-16858/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on May 31st, 2020. See the published version at https://doi.org/10.3390/ijerph17113903. Page 1/25 Abstract An in-depth understanding of the spatiotemporal dynamic characteristics of infectious diseases could be helpful for epidemic prevention and control. Based on the novel coronavirus pneumonia (NCP) data published on ocial websites, GIS spatial statistics and Pearson correlation methods were used to analyze the spatial autocorrelation and inuencing factors of the 2019 NCP epidemic from January 30, 2020 to February 18, 2020. The following results were obtained. (1) During the study period, Hubei Province was the only signicant cluster area and hotspot of cumulative conrmed cases of NCP infection at the provincial level in China. (2) The NCP epidemic in China had a very signicant global spatial autocorrelation at the prefecture-city level, and Wuhan was the signicant hotspot and cluster city for cumulative conrmed NCP cases in the whole country. -
Research on Urban Network of Wuhan Metropolitan Area in China Based on Social Network Analysis
International Journal of Culture and History, Vol. 3, No. 1, March 2017 Research on Urban Network of Wuhan Metropolitan Area in China Based on Social Network Analysis Jing-Xin Nie, Ya-Ping Huang, and Pei Chen according to enterprise organizations [22], [23]. Abstract—This article is based on the retrospect of theoretical The essence of urban network is intercity relation, and way and analysis method of town correlation measure, relational data is always applied in urban network research. summarized the advantages and disadvantages. Then the article With the rapid development of information and proposed the social network analysis method with network data of express, in order to analyze the town correlation measure. communication technology, distance of space and time Taking Wuhan metropolitan area in china as practical between cities is greatly compressed, and the connections experiment objects, and found out the network characteristics of between cities are more and more closely. Excavating it, which dominance and polarization coexisted, axes and relational data has become a new trend in research of urban corridors gathered in space. In the view of social network, the network. Social Network Analysis, SNA for short, is a urban system of Wuhan metropolitan area has not been methodology which describes the whole form, characteristics completed, though the inner core group has formed, but the connection between the low-level nodes is not strong enough. and structure of network. SNA has obvious advantage in relation expression; a network can be regarded either as a Index Terms—Express network, social network analysis, whole or a part, so that reveals the integration and hierarchy of Wuhan metropolitan area, urban network. -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Sanctioned Entities Name of Firm & Address Date of Imposition of Sanction Sanction Imposed Grounds China Railway Constructio
Sanctioned Entities Name of Firm & Address Date of Imposition of Sanction Sanction Imposed Grounds China Railway Construction Corporation Limited Procurement Guidelines, (中国铁建股份有限公司)*38 March 4, 2020 - March 3, 2022 Conditional Non-debarment 1.16(a)(ii) No. 40, Fuxing Road, Beijing 100855, China China Railway 23rd Bureau Group Co., Ltd. Procurement Guidelines, (中铁二十三局集团有限公司)*38 March 4, 2020 - March 3, 2022 Conditional Non-debarment 1.16(a)(ii) No. 40, Fuxing Road, Beijing 100855, China China Railway Construction Corporation (International) Limited Procurement Guidelines, March 4, 2020 - March 3, 2022 Conditional Non-debarment (中国铁建国际集团有限公司)*38 1.16(a)(ii) No. 40, Fuxing Road, Beijing 100855, China *38 This sanction is the result of a Settlement Agreement. China Railway Construction Corporation Ltd. (“CRCC”) and its wholly-owned subsidiaries, China Railway 23rd Bureau Group Co., Ltd. (“CR23”) and China Railway Construction Corporation (International) Limited (“CRCC International”), are debarred for 9 months, to be followed by a 24- month period of conditional non-debarment. This period of sanction extends to all affiliates that CRCC, CR23, and/or CRCC International directly or indirectly control, with the exception of China Railway 20th Bureau Group Co. and its controlled affiliates, which are exempted. If, at the end of the period of sanction, CRCC, CR23, CRCC International, and their affiliates have (a) met the corporate compliance conditions to the satisfaction of the Bank’s Integrity Compliance Officer (ICO); (b) fully cooperated with the Bank; and (c) otherwise complied fully with the terms and conditions of the Settlement Agreement, then they will be released from conditional non-debarment. If they do not meet these obligations by the end of the period of sanction, their conditional non-debarment will automatically convert to debarment with conditional release until the obligations are met. -
Economic Analysis
Hubei Huanggang Urban Environment Improvement Project (RRP PRC 46050) ECONOMIC ANALYSIS 1. Huanggang is one of eight prefecture-level cities comprising the Wuhan metropolitan region in Hubei Province, referred to as the Wuhan 1+8 megacity cluster. Huanggang’s current urban area is Huangzhou District. The Huanggang municipal government (HMG) intends to expand the urban area eastward by creating the New Eastern District (NED). The first phase of NED development is designed to attract 100,000 residents by 2020, along with commercial businesses and industries. At the center of NED are Baitan and Chiye lakes and seven associated rivers upon which the lakes depend for drainage and water circulation. The lakes are polluted and the seven associated rivers are badly silted with inadequate water-carrying capacity. The project will clean up the lakes and rivers so that NED development can take place. A. Macroeconomic Context 2. Endorsed by the State Council in 2007, the Wuhan 1+8 megacity cluster plan was intended to anchor balanced economic development along the middle Yangtze River with Nanjing to the east and Chongqing to the west. Of all the urban areas within Hubei Province, Wuhan’s urban area has grown the most and its share of gross domestic product (GDP) in the province increased by 6.6% during 2000–2010. However, its growth rate is considerably lower than other cities in the PRC, including Changsha, Hefei, Nanjing, Xian, and Zhengzhou. 3. In addition to anchoring development along the middle Yangtze River, the Wuhan 1+8 megacity cluster policy is one of several policies that promote smaller cities and towns. -
Pdf Retrospective Study Relied on Clinical Records
Theranostics 2020, Vol. 10, Issue 14 6372 Ivyspring International Publisher Theranostics 2020; 10(14): 6372- 6383. doi: 10.7150/thno.46833 Research Paper Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study Peng Peng Xu1#, Rong Hua Tian2#, Song Luo1#, Zi Yue Zu1#, Bin Fan3#, Xi Ming Wang4, Kai Xu5,6, Jiang Tao Wang7, Juan Zhu8, Ji Chan Shi9, Feng Chen10, Bing Wan11, Zhi Han Yan12, Rong Pin Wang13, Wen Chen14, Wen Hui Fan15, Can Zhang16, Meng Jie Lu1, Zhi Yuan Sun1, Chang Sheng Zhou1, Li Na Zhang17, Fei Xia1, Li Qi1, Wei Zhang1, Jing Zhong1, Xiao Xue Liu1, Qi Rui Zhang1, Guang Ming Lu1, Long Jiang Zhang1 1. Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China. 2. Department of Medical Imaging, Xiaogan Central Hospital of Wuhan University of Science and Technology, Xiaogan, Hubei, China. 3. Huanggang Central Hospital, No. 11, Kaopeng Road, Huangzhou District, Huanggang, Hubei, China. 4. Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China. 5. Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China. 6. Institute of Medical Imaging and Digital Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China. 7. Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China. 8. Department of Medical Imaging, the Affiliated Anqing Hospital of Anhui Medical University, Anqing, Anhui, China. 9. Departments of Infectious Disease & Department of Medical Imaging, Wenzhou Central Hospital, Wenzhou, Zhejiang, China. 10. Department of Radiology, Hainan General Hospital, Haikou, Hainan, China. -
Spatial Statistics and Influencing Factors of the COVID-19 Epidemic on Multiple Scales
International Journal of Environmental Research and Public Health Article Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China Yongzhu Xiong 1,*, Yunpeng Wang 2 , Feng Chen 3,4 and Mingyong Zhu 1,* 1 School of Geography and Tourism, Jiaying University, Meizhou 514015, China 2 Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; [email protected] 3 College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China; [email protected] 4 Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China * Correspondence: [email protected] (Y.X.); [email protected] (M.Z.); Tel.: +86-753-218-6956 (Y.X.) Received: 28 April 2020; Accepted: 29 May 2020; Published: 31 May 2020 Abstract: The coronavirus disease 2019 (COVID-19) epidemic has had a crucial influence on people’s lives and socio-economic development. An understanding of the spatiotemporal patterns and influencing factors of the COVID-19 epidemic on multiple scales could benefit the control of the outbreak. Therefore, we used spatial autocorrelation and Spearman’s rank correlation methods to investigate these two topics, respectively. The COVID-19 epidemic data reported publicly and relevant open data in Hubei province were analyzed. The results showed that (1) at both prefecture and county levels, the global spatial autocorrelation was extremely significant for the cumulative confirmed COVID-19 cases (CCC) in Hubei province from 30 January to 18 February 2020. Further, (2) at both levels, the significant hotspots and cluster/outlier areas were observed solely in Wuhan city and most of its districts/sub-cities from 30 January to 18 February 2020. -
China Electronics Optics Valley Union Holding Company Limited 中電光谷聯合控股有限公司 (Incorporatedin the Cayman Islands with Limited Liability) (Stock Code: 798)
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability what so ever for any loss how so ever arising from or in reliance upon the whole or any part of the contents of this announcement. China Electronics Optics Valley Union Holding Company Limited 中電光谷聯合控股有限公司 (Incorporatedin the Cayman Islands with limited liability) (Stock code: 798) INTERIM RESULTS ANNOUNCEMENT FOR THE SIX MONTHS ENDED 30 JUNE 2020 The board (the “Board”) of directors (the “Directors”) of China Electronics Optics Valley Union Holding Company Limited (the “Company” or “CEOVU”) is pleased to announce the unaudited consolidated results of the Company and its subsidiaries (collectively, the “Group” or “we”) for the six months ended 30 June 2020 (the “Reporting Period”), together with the comparative figures for the six months ended 30 June 2019 as follows. These consolidated interim financial results have not been audited, but have been reviewed by the independent auditor of the Company and the audit committee of the Company (the “Audit Committee”). – 1 – UNAUDITED INTERIM RESULTS OF THE GROUP FOR THE REPORTING PERIOD Interim Condensed Consolidated Statement of Profit or Loss Unaudited Six months ended 30 June 2020 2019 Notes RMB’000 RMB’000 Revenue 4 923,241 1,143,047 Cost of sales (681,240) (762,842) Gross profit 242,001 380,205 Other income and other gains – net 28,723 104,748 Selling