Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: a Spatial Econometric Analysis
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Establishing 15 IP Tribunals Nationwide, Chinese Courts Further Concentrate Jurisdiction Over IP Matters
Establishing 15 IP Tribunals Nationwide, Chinese Courts Further Concentrate Jurisdiction Over IP Matters March 15, 2018 Patent and ITC Litigation China has continued to develop its adjudicatory framework for intellectual property disputes with the establishment of three Intellectual Property Tribunals (“IP Tribunals”) this month. This reform began with the establishment of three specialized IP Courts in Beijing, Shanghai, and Guangzhou at the end of 2014, and has been furthered with the establishment of IP Tribunals in 10 provinces and two cities/municipalities around the country. For companies facing an IP dispute in China, understanding this framework in order to select the appropriate jurisdiction for a case can have a significant impact on the time to resolution, as well as the ultimate merits of the case. Most significantly, through the establishment of these IP Tribunals many Chinese courts have been stripped of their jurisdiction over IP matters in favor of the IP Tribunals. This has led to a fundamental change to the forum selection strategies of both multinational and Chinese companies. The three IP Tribunals established on the first two days of March 2018 are located in Tianjin Municipality, and cities of Changsha and Zhengzhou respectively. This brings the number of IP Tribunals that have been set up across 10 provinces and two cities/municipalities in China since January 2017 to a total of 15. The most unique aspect of the specialized IP Tribunals is that they have cross-regional1 and exclusive jurisdiction over IP matters in significant first-instance2 cases (i.e., those generally including disputes involving patents, new varieties of plants, integrated circuit layout and design, technical-related trade secrets, software, the recognition of well-known trademarks, and other IP cases in which the damages sought exceed a certain amount)3. -
Assessing the Training and Operational Proficiency of China's
C O R P O R A T I O N Assessing the Training and Operational Proficiency of China’s Aerospace Forces Selections from the Inaugural Conference of the China Aerospace Studies Institute (CASI) Edmund J. Burke, Astrid Stuth Cevallos, Mark R. Cozad, Timothy R. Heath For more information on this publication, visit www.rand.org/t/CF340 Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-0-8330-9549-7 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2016 RAND Corporation R® is a registered trademark. Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors. Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Preface On June 22, 2015, the China Aerospace Studies Institute (CASI), in conjunction with Headquarters, Air Force, held a day-long conference in Arlington, Virginia, titled “Assessing Chinese Aerospace Training and Operational Competence.” The purpose of the conference was to share the results of nine months of research and analysis by RAND researchers and to expose their work to critical review by experts and operators knowledgeable about U.S. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
China Russia
1 1 1 1 Acheng 3 Lesozavodsk 3 4 4 0 Didao Jixi 5 0 5 Shuangcheng Shangzhi Link? ou ? ? ? ? Hengshan ? 5 SEA OF 5 4 4 Yushu Wuchang OKHOTSK Dehui Mudanjiang Shulan Dalnegorsk Nongan Hailin Jiutai Jishu CHINA Kavalerovo Jilin Jiaohe Changchun RUSSIA Dunhua Uglekamensk HOKKAIDOO Panshi Huadian Tumen Partizansk Sapporo Hunchun Vladivostok Liaoyuan Chaoyang Longjing Yanji Nahodka Meihekou Helong Hunjiang Najin Badaojiang Tong Hua Hyesan Kanggye Aomori Kimchaek AOMORI ? ? 0 AKITA 0 4 DEMOCRATIC PEOPLE'S 4 REPUBLIC OF KOREA Akita Morioka IWATE SEA O F Pyongyang GULF OF KOREA JAPAN Nampo YAMAJGATAA PAN Yamagata MIYAGI Sendai Haeju Niigata Euijeongbu Chuncheon Bucheon Seoul NIIGATA Weonju Incheon Anyang ISIKAWA ChechonREPUBLIC OF HUKUSIMA Suweon KOREA TOTIGI Cheonan Chungju Toyama Cheongju Kanazawa GUNMA IBARAKI TOYAMA PACIFIC OCEAN Nagano Mito Andong Maebashi Daejeon Fukui NAGANO Kunsan Daegu Pohang HUKUI SAITAMA Taegu YAMANASI TOOKYOO YELLOW Ulsan Tottori GIFU Tokyo Matsue Gifu Kofu Chiba SEA TOTTORI Kawasaki KANAGAWA Kwangju Masan KYOOTO Yokohama Pusan SIMANE Nagoya KANAGAWA TIBA ? HYOOGO Kyoto SIGA SIZUOKA ? 5 Suncheon Chinhae 5 3 Otsu AITI 3 OKAYAMA Kobe Nara Shizuoka Yeosu HIROSIMA Okayama Tsu KAGAWA HYOOGO Hiroshima OOSAKA Osaka MIE YAMAGUTI OOSAKA Yamaguchi Takamatsu WAKAYAMA NARA JAPAN Tokushima Wakayama TOKUSIMA Matsuyama National Capital Fukuoka HUKUOKA WAKAYAMA Jeju EHIME Provincial Capital Cheju Oita Kochi SAGA KOOTI City, town EAST CHINA Saga OOITA Major Airport SEA NAGASAKI Kumamoto Roads Nagasaki KUMAMOTO Railroad Lake MIYAZAKI River, lake JAPAN KAGOSIMA Miyazaki International Boundary Provincial Boundary Kagoshima 0 12.5 25 50 75 100 Kilometers Miles 0 10 20 40 60 80 ? ? ? ? 0 5 0 5 3 3 4 4 1 1 1 1 The boundaries and names show n and t he designations us ed on this map do not imply of ficial endors ement or acceptance by the United N at ions. -
Economic Development Committee, and Michael Deangelis, the Former City Manager
COMMITTEE OF THE WHOLE – FEBRUARY 28, 2012 LETTER OF ECONOMIC INTENT, ZIBO, SHANDONG, PEOPLE’S REPUBLIC OF CHINA Recommendation The Director of Economic Development in consultation with the City Manager, recommends: That the City explore the development of an Economic Partnership with Zibo, Shandong, People’s Republic of China through the signing of the attached Letter of Economic Intent. Contribution to Sustainability Green Directions Vaughan embraces a Sustainability First principle and states that sustainability means we make decisions and take actions that ensure a healthy environment, vibrant communities and economic vitality for current and future generations. Under this definition, activities related to attracting and retaining business investments contributes to the economic vitality of the City. Global competition in the form of trade and business investment, forces even the smallest of enterprises to operate on the world stage. With the assistance of the City, access to government officials and business contacts can be made more readily available. Economic Impact The recommendation above will not have any impact on the 2012 operating budget. However, any future activity associated with the signing of a Letter of Economic Intent, such as; any future business mission(s) to Zibo, Shandong that involves the City would be established through a future report that identifies objectives and costs for Council approval. Communications Plan Should Council approve the signing of a Letter of Economic Intent with Zibo, Shandong, the partnership will be highlighted in communications to the business community through the Economic Development Department’s newsletter Business Link and Vaughan e-BusinessLink. In addition, staff of the Economic Development Department will work with Corporate Communications to issue a News Release on the day of the signing that highlights the partnership. -
Water Resource Carrying Capacity Based on Water Demand Prediction in Chang-Ji Economic Circle
water Article Water Resource Carrying Capacity Based on Water Demand Prediction in Chang-Ji Economic Circle Ge Wang 1,2,3,4, Changlai Xiao 1,2,3,4, Zhiwei Qi 1,2,3,4, Xiujuan Liang 1,2,3,4,*, Fanao Meng 1,2,3,4 and Ying Sun 1,2,3,4 1 Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, No 2519, Jiefang Road, Changchun 130021, China; [email protected] (G.W.); [email protected] (C.X.); [email protected] (Z.Q.); [email protected] (F.M.); [email protected] (Y.S.) 2 Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China 3 National-Local Joint Engineering Laboratory of In-Situ Conversion, Drilling and Exploitation Technology for Oil Shale, Changchun 130021, China 4 College of New Energy and Environment, Jilin University, No 2519, Jiefang Road, Changchun 130021, China * Correspondence: [email protected] Abstract: In view of the large spatial difference in water resources, the water shortage and deteriora- tion of water quality in the Chang-Ji Economic Circle located in northeast China, the water resource carrying capacity (WRCC) from the perspective of time and space is evaluated. We combine the gray correlation analysis and multiple linear regression models to quantitatively predict water supply and demand in different planning years, which provide the basis for quantitative analysis of the WRCC. The selection of research indicators also considers the interaction of social economy, water resources, and water environment. Combined with the fuzzy comprehensive evaluation method, the gray corre- lation analysis and multiple linear regression models to quantitatively and qualitatively evaluate the WRCC under different social development plans. -
The Comparison of Different Calculation Methods of Pollution Receiving Capacity for Jilin Province Huifa River
Nature Environment and Pollution Technology ISSN: 0972-6268 Vol. 15 No. 4 pp. 1169-1176 2016 An International Quarterly Scientific Journal Original Research Paper The Comparison of Different Calculation Methods of Pollution Receiving Capacity for Jilin Province Huifa River Yao Liwei and Men Baohui† Renewable Energy Institute, North China Electric Power University, Beijing-102206, China †Corresponding author: Men Baohui ABSTRACT Nat. Env. & Poll. Tech. Website: www.neptjournal.com Huifa River is the largest tributary of the Second Songhua River. Songhua River Basin is the concentrated area of Northeast Old Industrial Base, and it is also the distribution area of major cities, bearing Received: 19-12-2015 production task of national commodity grain. In recent years, with the rapid development of economy, Accepted: 28-01-2016 the deterioration of water quality is serious and the water environment problem is becoming more and Key Words: more outstanding, which have affected the sustainable development of the economic and social of Pollution receiving capacity Jilin province, so it is necessary to analyse and study the pollution receiving capacity of the river and Water quality model control the water pollution source to protect the water environment and strengthen water resources Sewage outfall protection. Based on one-dimensional water quality model, this paper use three kinds of different Huifa river generalization methods, such as midpoint generalization, uniform generalization and sewage outfall barycenter generalization, to calculate -
Speed, Reliability & Security at the Edge
Speed, Reliability & Security at the Edge March 2020 370 Employees 7 Offices Globally About BaishanCloud 600+ Corporate Clients ▪ A leading global cloud data service provider focusing on cross- border cloud content delivery and edge security. 400+ ▪ BaishanCloud's cloud delivery platform is designed to fulfill the Patents Filed data-transmission, data-security, and data-governance needs of Internet and enterprise customers. 70% R&D Workforce Baishan Key Milestones April 2019 Dec, 2019 Edge security Total sales product launched June 2017 revenue tops US$210 Million Strategic partnership with Nov. 2018 Microsoft formed Listed as Deloitte “2018 Asia-Pacific March 2016 Technology Fast 100” Offices in Beijing, Shanghai, Xiamen, Shenzhen, Guangzhou 2018 and Seattle July 2015 6 rounds of private equity financing, Cloud Distribution raising a total of Products launched US$125 million April 2015 BaishanCloud Founded Cloud Delivery Streaming Fast, reliable and secure Seamless streaming content delivery to users experience to users anywhere on any device Baishan Product Offering Cloud Security Dynamic Acceleration Product BaishanCloud provides advanced cloud Ultimate security Reliable real-time, technology and solutions to deliver seamless protection against all interactive and personalized digital experience to millions of users in types of cyber-attacks content delivery at the edge China, Asia and beyond. Cloud Delivery Ultra Speed | Easy Customization | High Capacity | Uncompromised Security Slow webpage download can drive your customers away in seconds. Baishan's globally distributed edge servers connect millions of end- users worldwide and deliver your assets in an ultra-fast, reliable and secure fashion, enabling you to focus on creating the best digital experience for your customers. -
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 -
Addition of Clopidogrel to Aspirin in 45 852 Patients with Acute Myocardial Infarction: Randomised Placebo-Controlled Trial
Articles Addition of clopidogrel to aspirin in 45 852 patients with acute myocardial infarction: randomised placebo-controlled trial COMMIT (ClOpidogrel and Metoprolol in Myocardial Infarction Trial) collaborative group* Summary Background Despite improvements in the emergency treatment of myocardial infarction (MI), early mortality and Lancet 2005; 366: 1607–21 morbidity remain high. The antiplatelet agent clopidogrel adds to the benefit of aspirin in acute coronary See Comment page 1587 syndromes without ST-segment elevation, but its effects in patients with ST-elevation MI were unclear. *Collaborators and participating hospitals listed at end of paper Methods 45 852 patients admitted to 1250 hospitals within 24 h of suspected acute MI onset were randomly Correspondence to: allocated clopidogrel 75 mg daily (n=22 961) or matching placebo (n=22 891) in addition to aspirin 162 mg daily. Dr Zhengming Chen, Clinical Trial 93% had ST-segment elevation or bundle branch block, and 7% had ST-segment depression. Treatment was to Service Unit and Epidemiological Studies Unit (CTSU), Richard Doll continue until discharge or up to 4 weeks in hospital (mean 15 days in survivors) and 93% of patients completed Building, Old Road Campus, it. The two prespecified co-primary outcomes were: (1) the composite of death, reinfarction, or stroke; and Oxford OX3 7LF, UK (2) death from any cause during the scheduled treatment period. Comparisons were by intention to treat, and [email protected] used the log-rank method. This trial is registered with ClinicalTrials.gov, number NCT00222573. or Dr Lixin Jiang, Fuwai Hospital, Findings Allocation to clopidogrel produced a highly significant 9% (95% CI 3–14) proportional reduction in death, Beijing 100037, P R China [email protected] reinfarction, or stroke (2121 [9·2%] clopidogrel vs 2310 [10·1%] placebo; p=0·002), corresponding to nine (SE 3) fewer events per 1000 patients treated for about 2 weeks. -
Jilin Jiutai Rural Commercial Bank Corporation Limited* 吉
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. JILIN JIUTAI RURAL COMMERCIAL BANK CORPORATION LIMITED* 吉林九台農村商業銀行股份有限公司* (A joint stock company incorporated in the People’s Republic of China with limited liability) (Stock code: 6122) 1. NOMINATION OF CANDIDATES FOR THE DIRECTORS OF THE FIFTH SESSION OF THE BOARD OF DIRECTORS 2. NOMINATION OF CANDIDATES FOR THE NON-EMPLOYEE SUPERVISORS OF THE FIFTH SESSION OF THE BOARD OF SUPERVISORS 3. REMUNERATION FOR THE RELEVANT DIRECTORS OF THE FIFTH SESSION OF THE BOARD OF DIRECTORS DURING THEIR TERMS OF OFFICE 4. REMUNERATION FOR THE RELEVANT SUPERVISORS OF THE FIFTH SESSION OF THE BOARD OF SUPERVISORS DURING THEIR TERMS OF OFFICE The board of directors (the “Board”) of Jilin Jiutai Rural Commercial Bank Corporation Limited (the “Bank”) hereby announces that in view of the requirements of the articles of association of the Bank (the “Articles”), the Board and the board of supervisors of the Bank (the “Board of Supervisors”) proposed to carry out the re-election. On March 30, 2021, the 16th meeting of the fourth session of the Board (the “Board Meeting”) approved the resolutions regarding the nomination of Mr. Gao Bing, Mr. Liang Xiangmin, Mr. Yuan Chunyu, Mr. Cui Qiang, Mr. Zhang Yusheng, Mr. Wu Shujun, Mr. Zhang Lixin, Ms. -
Climate Change Impact Assessment on Maize Production in Jilin, China
Climate change impact assessment on maize production in Jilin, China Meng Wang, Wei Ye and Yinpeng Li 1 Backgrounds APN CAPaBLE project with focus on integrated system development for food security assessment Bio-physical & Economic Uncertainties: e.g. GCMs, CO2 emission scenarios Adaptation measures (cross multi-scales) 2 SimCLIM model Greenhouse gas MAGICC emission scenarios Data Global Climate Projection Scenario selections Climate and GCM pattern import Local Climate toolbox average, variability, extremes IPCC CMIP (GCMs) (present and future) USER -Synthetic changes - GCM patterns “Plug-in” Models Biophysical Impacts on: Agriculture, Coastal, - Land data Human Health, Water - Other spatial data Impact Model 3 Case Study: Jilin Province 4 Climate Scenario Baseline Climate CRU global climatology dataset, 1961-1990 (New, 2000) Climate change scenarios • Pattern scaling (Santer, 1990; Mitchell, 2003) • 20 GCMs change patterns (Covey et al., 2003) • 6 SRES emission scenarios (IPCC, 2000) 5 DSSAT model – to simulate maize growth CERES-Maize model (Jones, 1986) • Site-based, daily time step • Input – weather, soil, cultivating strategies, cultivar parameters • Output – yield, phenological parameters (e.g. growing season, growing phase date), etc. 6 DSSAT – weather generator SIMMETEO (Geng & Auburn, 1986) • Input – monthly Tmax, Tmin, Rs, Prec. • Random seed sensitive 9.5 Ensemble 1 (b) 8.5 Ensemble 2 ) Ensemble 3 -1 7.5 Ensemble 4 6.5 Yield (t ha Yield (t 5.5 4.5 3.5 0 20 40 60 80 100 120 Random seed So, the average result of 100-seed