Datasea to Provide Custom Hardware and Software Solutions to K-12 Schools and Public Communities in Nanjing and Taiyuan, China to Address Coronavirus Outbreak
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Chinese Cities of Opportunities 2018 Report
Beijing Harbin Lanzhou Jinan Wuhan Ningbo Guangzhou Kunming Shanghai Shenyang Xi’an Qingdao Wuxi Fuzhou Shenzhen Guiyang Tianjin Dalian Taiyuan Zhengzhou Suzhou Xiamen Zhuhai Chongqing Urumqi Shijiazhuang Nanjing Hangzhou Changsha Chengdu Chinese Cities of Opportunity 2018 Cities: Creating a beautiful life and new opportunities In modern society, cities are the most Changsha-Zhuzhou-Xiangtan Region, offers a comprehensive evaluation of the important spaces in which people can the Guanzhong Plain urban cluster, competitiveness, influence and potential pursue a better life. China has the Chengdu-Chongqing Economic Zone, of urban development to provide largest urban population in the world. In the central-southern of Liaoning and benchmarks for overall urban 2017, over 58% of China’s population, or Harbin-Changchun urban cluster. development, and has come to exert an more than 800 million people, lived in People gravitate toward areas with extensive influence in China. On the cities, and the urbanisation rate for economic opportunities and high quality basis of Chinese Cities of Opportunity residents is increasing by over one public services. Therefore, enhancing 2017, the number of sample cities percentage point every year. The the inclusiveness, balance and observed this year has increased to 30, advancement of urbanisation has sustainability of the development of and special attention has been given to pushed forward the intensive and urban clusters with large cities is a the development of national strategic efficient use of resources, promoted significant undertaking at the core of regions such as Guangdong-Hong innovation and enabled the economy to resolving “the principal contradiction Kong-Macau Greater Bay Area and prosper, while providing better basic between unbalanced and inadequate Xiong’an New Area. -
Reconstructing the Evolutionary History of Chinese Dialects
Reconstructing the Evolutionary History of Chinese Dialects Esra Erdem Institute of Information Systems, Vienna University of Technology, Vienna, Austria [email protected] Feng Wang Department of Chinese Language and Literature, Peking University, Beijing, China [email protected] Evolutionary relations between languages based on their shared characteristics can be represented as a phylogeny --- a tree where the leaves represent the extant languages, the internal vertices represent the ancestral languages, and the edges represent the genetic relations between the languages. On the other hand, languages not only inherit characteristics from their ancestors but also sometimes borrow them from other languages. Such borrowings can be represented by additional non-tree edges, turning a phylogeny into a phylogenetic network. With this motivation, we reconstruct the evolutionary history of languages in two steps: first we compute a plausible phylogeny with a minimal number of incompatible characters, and then we turn this phylogeny into a perfect phylogenetic network, by adding a small number of lateral edges, so that all characters are compatible with the network. For both steps, to formulate the problems and to solve them, we use answer set programming --- a new form of declarative programming. This method has been successfully applied to reconstruct the evolutionary history of Indo-European languages. In the following we summarize its application to reconstruct the evolutionary history of Old Chinese and the following 23 Chinese dialects: Guangzhou, Liancheng, Meixian, Taiwan, Xiamen, Zhangping, Fuzhou, Nanchang, Anyi, Shuangfeng, Changsha, Beijing, Yuci, Taiyuan, Ningxia, Chengdu, Yingshan, Wuhan, Ningbo, Suzhou, Shangai 1, Shangai 2, Wenzhou. We have started with a dataset consisting of 200 lexical characters (the Swadesh wordlist), each with 1--24 states. -
Up to July 13, 2007)
Current Location :Project Information Newly Approved Projects by DNA of China (Total: 76) (Up to July 13, 2007) Estimated Project Ave. GHG No. Project Name Project Owner CER Buyer Type Reduction (tCO2e/y) Fugong Jiacheng Fugong Mukeji Hydropower Renewable Carbon Asset Management 1 Hydropower 102,781 Project energy Sweden AB Development Co.,Ltd. Yuexi County Liyuan Yuexi Dayan Small Renewable Carbon Asset Management 2 Hydropower 48,722 Hydropower Project energy Sweden AB Development Co.,Ltd. Kunming Dongjiao Methane Kunming Huan Ye 3 Baishuitang LFG Treatment recovery & Project Development Asja Ambiente Italia S.P.A(Italy) 64,302 and Power Generation Project utilization Co.,Ltd. Jiuzhaigou Electric Sichuan Shuanghe Renewable 4 Power Development Marubeni Corporation(Japan) 297,313 Hydropower Project energy Ltd Co. Shandong Luneng Baiyun’ebo 45MW Wind Farm Renewable 5 Development Group Arreon Carbon UK Ltd 96,468 Project energy Co.,Ltd. Guangxi Baise Tianlin Baile Renewable Tianlin Baile River 6 RWE Power AG(Germany) 48,079 Hydropower Station energy Hydropower Co.,Ltd. Methane Anhui Qidong Coal Mine Wanbei Coal and Renaissance Carbon Investment 7 recovery & 57,208 Methane Utilization Project Power Co.,Ltd. Ltd(UK) utilization The Natural Gas-stream Energy saving Beijing Jing Feng Gas Combined Cycle Electric 8 and efficiency Fired Power Company RWE Power AG(Germany) 633,341 Power Project of Beijing Third improvement Ltd. Thermal Power Plant Luzhou Jiale Yuanxing Renewable 9 Yuanxing Hydropower Project Electic Power EcoSecurities Group Plc(UK) 50,752 energy Development Co.,Ltd Sichuan Liangtan Hydropower Renewable Sichuan Guang’an 10 EcoSecurities Group Plc(UK) 82,229 Station Second Phase Project energy AAA Public Co.,Ltd. -
Presentation Title
TAIYUAN OFFICE SEPTEMBER 2019 MARKETBEAT ¥71.3 5.6% 38.5% RENT RENTAL GROWTH VACANCY RATE (PSM/ MO) (YOY) Economic Indicators One Year Q1 2019 Q2 2019 Forecast HIGHLIGHTS GDP Growth 9.2% 8.0% Landmark projects surged in 2019 Tertiary Sector Growth 9.0% 7.9% CPI Growth 1.9% 2.3% New projects launching in 2019 included Greenland Central Plaza, China Overseas Real Estate Development International Center phase I, and Cinda International Financial Center. The combined 652,500 17.2% 13.2% & Investment Growth sq m of new supply took overall Grade A office stock to 3.81 million sq m. The new supply pushed the citywide vacancy rate up 1.9 percentage points y-o-y to 38.5%. The prime grade of Source: Taiyuan Statistics Bureau / Oxford Economics / Cushman & Wakefield Research the new projects helped push the average effective rent up 5.6% y-o-y to RMB71.3 per sq m Grade A CBD Rent & Vacancy Rate per month. ) 80 40.0% mo The market is currently dominated by strata-titled projects. The most significant transactions m/ 30.0% sq 60 have come from large-scale leases or purchases from Shanxi province state-owned enterprises, 20.0% and finance and insurance companies. Examples have included China Petroleum’s lease of 40 10.0% three office floors in the China Overseas International Center. VacancyRate (%) Rent (RMB/ 20 0.0% Changfeng Business Zone attracts growing interest 2017 2018 2019 Overall Rent Vacancy Rate (%) China Resources Changfeng Center phase II and China Overseas International Center phase II Source: Cushman & Wakefield Research are expected to enter the market by 2020. -
The Mineral Industry of China in 1997
THE MINERAL INDUSTRY OF CHINA By Pui-Kwan Tse The economic crisis in Asia seemed like a storm passing over the however, not imminent yet. Unlike banks in the Republic of Korea entire region, but China’s economy appeared relatively unaffected and Thailand, Chinese banks have a much smaller exposure to because the exchange rate was firm and there was no sign of foreign debt. Therefore, banks in China will not be as easily hit by instability. The main reason for the firm exchange rate was that the an external payment imbalance. Chinese banks funded their assets renminbi was not yet convertible under capital accounts. Therefore, mainly through large domestic savings, which average more than it was difficult, if not impossible, for funds to flow in and out of the 40% of the country’s GDP (Financial Times, 1997b; Financial country’s stock markets. Compared with other countries in Asia and Times, 1998a). In June 1997, the Government forbade banks to the Pacific region, China’s economy performed well with inflation finance the purchase stock in the stock markets by state enterprises. continuing to drop and foreign exchange reserves increasing sharply. The Government planned to overhaul its PBC, to increase its Preliminary statistics indicated that the gross domestic product regulatory powers and to allow it to shut down hundreds of poorly (GDP) grew by 8.8% and the retail price index rose by 2.8% in capitalized non-bank financial institutions that are threatening the 1997, compared with those of 1996 (China Daily, 1998c; China banking system (Asian Wall Street Journal, 1998a). -
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 -
Internal Ex-Post Evaluation for Technical Cooperation Project Conducted by China Office
Internal Ex-Post Evaluation for Technical Cooperation Project conducted by China Office: Month, 201X Country Name The Project on Eco-environment Rehabilitation and Poverty Reduction in Yanmenguan Region, People’s Republic of China Shanxi Province I. Project Outline Yanmenguan Region, Shanxi Province, is located in the Loess Plateau in the Northern China. It is a region of arid sandy terrace where rain-fed farming is the major style of agriculture and poor population is concentrated. In lands where reclamation reached to mountain summits, soil eroded after every heavy rainfall in summer, and this reduced land productivity further accelerated poverty. In 2001, the Shanxi provincial government proposed the Yanmenguan Ecological Livestock Economic Zone Construction Background Plan with the goal of improving ecological environment and of farmers’ livelihood. By mobilizing budget at the state, provincial and county levels, this plan intended to increase the share of livestock farming, protect soil surface through cultivation of perennial plants and promote grass-fed livestock farming. Nevertheless, this region lacked human resources capable of initiating and implementing the above-mentioned plan, as well as grass seeds, livestock, and initial investment cost for livestock-house construction, causing major delays on transition from agriculture to livestock farming. 1. Overall Goal: To diffuse the model system created in the project, improve the ecological environment, and to improve livelihood of the farmers in the Yanmenguan Region. Objectives of the 2. Project Purpose: To construct a model system(Note) for improvement of both ecological environment Project and livelihood of farmers and to establish a system for diffusion in the Yanmenguan Region. -
CHINA VANKE CO., LTD.* 萬科企業股份有限公司 (A Joint Stock Company Incorporated in the People’S Republic of China with Limited Liability) (Stock Code: 2202)
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 whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. CHINA VANKE CO., LTD.* 萬科企業股份有限公司 (A joint stock company incorporated in the People’s Republic of China with limited liability) (Stock Code: 2202) 2019 ANNUAL RESULTS ANNOUNCEMENT The board of directors (the “Board”) of China Vanke Co., Ltd.* (the “Company”) is pleased to announce the audited results of the Company and its subsidiaries for the year ended 31 December 2019. This announcement, containing the full text of the 2019 Annual Report of the Company, complies with the relevant requirements of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited in relation to information to accompany preliminary announcement of annual results. Printed version of the Company’s 2019 Annual Report will be delivered to the H-Share Holders of the Company and available for viewing on the websites of The Stock Exchange of Hong Kong Limited (www.hkexnews.hk) and of the Company (www.vanke.com) in April 2020. Both the Chinese and English versions of this results announcement are available on the websites of the Company (www.vanke.com) and The Stock Exchange of Hong Kong Limited (www.hkexnews.hk). In the event of any discrepancies in interpretations between the English version and Chinese version, the Chinese version shall prevail, except for the financial report prepared in accordance with International Financial Reporting Standards, of which the English version shall prevail. -
The People's Liberation Army's 37 Academic Institutions the People's
The People’s Liberation Army’s 37 Academic Institutions Kenneth Allen • Mingzhi Chen Printed in the United States of America by the China Aerospace Studies Institute ISBN: 9798635621417 To request additional copies, please direct inquiries to Director, China Aerospace Studies Institute, Air University, 55 Lemay Plaza, Montgomery, AL 36112 Design by Heisey-Grove Design All photos licensed under the Creative Commons Attribution-Share Alike 4.0 International license, or under the Fair Use Doctrine under Section 107 of the Copyright Act for nonprofit educational and noncommercial use. All other graphics created by or for China Aerospace Studies Institute E-mail: [email protected] Web: http://www.airuniversity.af.mil/CASI Twitter: https://twitter.com/CASI_Research | @CASI_Research Facebook: https://www.facebook.com/CASI.Research.Org LinkedIn: https://www.linkedin.com/company/11049011 Disclaimer The views expressed in this academic research paper are those of the authors and do not necessarily reflect the official policy or position of the U.S. Government or the Department of Defense. In accordance with Air Force Instruction 51-303, Intellectual Property, Patents, Patent Related Matters, Trademarks and Copyrights; this work is the property of the U.S. Government. Limited Print and Electronic Distribution Rights Reproduction and printing is subject to the Copyright Act of 1976 and applicable treaties of the United States. This document and trademark(s) contained herein are protected by law. This publication is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal, academic, or governmental use only, as long as it is unaltered and complete however, it is requested that reproductions credit the author and China Aerospace Studies Institute (CASI). -
Sources of Nitrogen Pollution in Upstream of Fenhe River Reservoir Based on the Nitrogen and Oxygen Stable Isotope
Hindawi Journal of Chemistry Volume 2020, Article ID 6574210, 8 pages https://doi.org/10.1155/2020/6574210 Research Article Sources of Nitrogen Pollution in Upstream of Fenhe River Reservoir Based on the Nitrogen and Oxygen Stable Isotope Ying Zhao ,1 Jinhua Dang ,1 and Fei Wang 2,3 1Shanxi Academy of Environmental Sciences, Taiyuan, Shanxi 030027, China 2School of Life Science, Shanxi University, Taiyuan, Shanxi 030006, China 3School of Physical Education, Shanxi University, Taiyuan 030006, China Correspondence should be addressed to Fei Wang; [email protected] Received 8 November 2019; Revised 3 February 2020; Accepted 8 February 2020; Published 31 March 2020 Guest Editor: Chenglian Feng Copyright © 2020 Ying Zhao et al. *is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Identification of nitrate sources is important for the management of rivers. In this study, stable isotopes (δ15N and δ18O) and a Bayesian model (stable isotope analysis in R, SIAR) were applied to identify nitrate sources and estimate the proportional contributions of multiple nitrate sources in the upstream of Fenhe River Reservoir that serves as a source of drinking water in Shanxi Province of North China. *e results showed that the 86.4% of total nitrogen (TN) concentrations in the water samples exceeded the guided values of the Chinese Surface Water Environmental Quality Standard (GB 3838-2002). *e influent of tributary and discharges of sewage caused the severe nitrogen pollution. SIAR was used to estimate the proportional contribution of three nitrate sources (sewage, inorganic fertilizer, and soil nitrogen). -
High-Speed Rail – the First Three Years: Taking the Pulse of China’S Emerging Program
China Transport Topics No. 04 February 2012 High-Speed Rail – The First Three Years: Taking the Pulse of China’s Emerging Program Richard Bullock, Andrew Salzberg, and Ying Jin Public Disclosure Authorized World Bank Office, Beijing High-speed rail services have now been operating in China for three years. How are they performing? What has happened to the conventional services they parallel? What has been the impact on the airlines? Little comprehensive information has been published to date but a general picture is emerging in which high-speed rail, as in other countries, is competing strongly on short and medium-distance routes up to 1,000 km while air remains dominant over longer distances. Overall, however, diverted air passengers have not been a major source of high speed rail ridership. A larger source has been ‘generated’ trips: new trips by passengers who were induced to travel by the greater convenience of high speed service. Based on this evidence and the continuing strong growth in Chinese urban populations and incomes, we are cautiously optimistic about the long-term ridership (and hence economic viability) of the major trunk railways of the high-speed rail network in China. This optimism is tempered by the Public Disclosure Authorized need to develop a sustainable financing mechanism in the short to medium term and to carefully weigh the costs and benefits of the peripheral extensions of the network. THE NETWORK SO FAR Most lines have a large proportion of tunnel and China began to operate network-wide 200 km/h viaduct (in hilly areas)2 or elevated structure (in services in April 2007 as part of what is known as 3 1 flatter areas) , the latter to conserve farmland the Sixth Speed-Up but the first high-speed rail and minimize severance. -
Demonstrating Emissions Trading in Taiyuan, China Richard Morgenstern, Robert Anderson, Ruth Greenspan Bell, Alan Krupnick, and Xuehua Zhang
demonstrating emissions trading in taiyuan, china Richard Morgenstern, Robert Anderson, Ruth Greenspan Bell, Alan Krupnick, and Xuehua Zhang Can market-based instruments be effective in a country where monitoring and enforcement systems are still untested and state enterprises are the biggest polluters? an market-based instruments (MBIs) be Since spring 2001, the RFF team has been Ceffective tools for improving environmental assessing the local situation and, most recently, quality in the People’s Republic of China (PRC)? designing a program for emissions trading among Can such instruments really reduce emissions at large emitters in Taiyuan, the capital of Shanxi lower costs than conventional command-and-con- Province. Currently, a formal regulation that trol approaches in a planned-market system where would implement the trading system is sitting on monitoring and enforcement systems are still in the mayor’s desk, awaiting official signatures. their infancy and where state-owned enterprises Trading is expected to begin in early 2003. How are the dominant polluters? No one knows for the system will actually work, whether the design sure whether MBIs are suitable for such an appli- will prove viable in Taiyuan, whether tangible envi- cation. But a number of senior Chinese officials, ronmental improvements can be obtained at along with experts from the Asian Development reasonable cost, and what modifications might be Bank, are betting that the time is ripe to test out necessary to improve the system are all unknown these ideas in a full-scale experiment. Toward this at this time. What is known is that there is strong end, they have recruited a team of international interest in trying to adapt the western-style emis- and domestic experts, led by RFF researchers, to sions trading experience to the real-world try to demonstrate the feasibility of emissions trad- conditions in China—and a major effort is ing in Taiyuan, a heavily polluted industrial city in under way to demonstrate the viability of such an northern China.