Research on Layout of Multimodal Transport Center in Jinan City
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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. -
Economic Overview and Opportunities of Shandong Province
ECONOMIC OVERVIEW AND OPPORTUNITIES OF SHANDONG PROVINCE ECONOMIC OVERVIEW AND OPPORTUNITIES OF SHANDONG PROVINCE ECONOMIC OVERVIEW AND OPPORTUNITIES OF SHANDONG PROVINCE 2 ECONOMIC OVERVIEW AND OPPORTUNITIES OF SHANDONG PROVINCE December 2016 NETHERLANDS BUSINESS SUPPORT OFFICE JINAN & QINGDAO Mr. Roland Brouwer (Chief Representative NBSO Jinan & Qingdao) Mr. Peng Liu (Deputy Representative NBSO Jinan) Ms. Sarah Xiao (Deputy Representative NBSO Qingdao) Ms. Xiaoming Liu (Commercial Assistant NBSO Jinan & Qingdao) Cover photo: night view of Qingdao coastline This report is part of a series of economic overviews of important regions in China1, initiated and developed by the Netherlands Economic Network in China. For more information about the Netherlands economic network and its publications, please visit www.zakendoeninchina.org or contact the Dutch embassy in Beijing at [email protected]. Unauthorized use, disclosure or copying without permission of the publisher is strictly prohibited. The information contained herein, including any expression of opinion, analyses, charting or tables, and statistics has been obtained from or is based upon sources believed to be reliable but is not guaranteed as to accuracy or completeness. 1 The composers of this document have done their best to credit the rightful sources of the data and images used. If, despite the efforts there still are sources not authorized, they are invited to contact [email protected] and [email protected]. 3 ECONOMIC OVERVIEW AND OPPORTUNITIES OF SHANDONG PROVINCE CONTENTS This report provides an overview of the economy of China’s coastal province Shandong; what it is today and in which direction it is heading. We introduce both key cities in Shandong and the roles they play in Shandong’s economy and main industries. -
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 -
Reliability Optimization of a Railway Network
sustainability Article Reliability Optimization of a Railway Network Xuelei Meng 1,2,*, Yahui Wang 3, Limin Jia 2 and Lei Li 4 1 School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China 2 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China; [email protected] 3 School of Foreign Languages, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China; [email protected] 4 Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua 321004, Zhejiang, China; [email protected] * Correspondence: [email protected] Received: 7 October 2020; Accepted: 14 November 2020; Published: 24 November 2020 Abstract: With the increase of the railway operating mileage, the railway network is becoming more and more complicated. We expect to build more railway lines to offer the possibility to offer more high quality service for the passengers, while the investment is often limited. Therefore, it is very important to decide the pairs of cities to add new railway lines under the condition of limited construction investment in order to optimize the railway line network to maximize the reliability of the railway network to deal with the railway passenger transport task under emergency conditions. In this paper, we firstly define the reliability of the railway networks based on probability theory by analyzing three minor cases. Then we construct a reliability optimization model for the railway network to solve the problem, expecting to enhance the railway network with the limited investment. The goal is to make an optimal decision when choosing where to add new railway lines to maximize the reliability of the whole railway network, taking the construction investment as the main constraint, which is turned to the building mileage limit. -
Via MMSET Mediated Chromatin Remodeling
Melatonin Enhances Osteoblastogenesis from Senescent Mesenchymal Stem Cells via MMSET Mediated Chromatin Remodeling Zhiqiang Liu ( [email protected] ) Tianjin Medical University https://orcid.org/0000-0002-0677-8097 Ying Xie Tianjin Medical University Na Han Peking University Sheng Wang Tianjin Medical University Xuelei Wei Tianjin Hospital Jingya Wang Tianjin Medical University Jing Guo Tianjin Medical University Hongmei Jiang Tianjin Medical University Jingjing Wang Tianjin Medical University Xin Li Tianjin Medical University Xiyun Bian The Fifth Central Hospital of Tianjin Meilin Hu Tianjin Medical University Zhongjiao Zhu Tengzhou Central People's Hospital Lijuan Wang Linyi People's Hospital Hui Zhang Children’s Hospital of Chongqing Medical University Chunhua Liu Shandong First Medical University & Shandong Academy of Medical Sciences Xiaozhi Liu The Fifth Central Hospital Article Keywords: melatonin, mesenchymal stem osteoporosis, senescence, MMSET Posted Date: January 4th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-130548/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Melatonin Enhances Osteoblastogenesis from Senescent Mesenchymal Stem Cells 2 via MMSET Mediated Chromatin Remodeling Ying Xie1*, Na Han2*, Feng Li3*, Sheng Wang1*, Xuelei Wei4, Jingya Wang1, Jing Guo1, Hongmei Jiang1, Jing Liu1, Jingjing Wang1, Xin Li1, Xiyun Bian5, Meilin Hu6, Zhongjiao Zhu7, Lijuan Wang8, Hui Zhang9, Chunhua Liu10, Xiaozhi Liu5, Zhiqiang Liu1 1The province and ministry -
Spatial-Temporal Gradient Analysis of Urban Green Spaces in Jinan, China Fanhua Kong ∗, Nobukazu Nakagoshi
Landscape and Urban Planning 78 (2006) 147–164 Spatial-temporal gradient analysis of urban green spaces in Jinan, China Fanhua Kong ∗, Nobukazu Nakagoshi Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 1-5-1, Higashi-Hiroshima 739-8529, Japan Received 24 November 2004; received in revised form 27 June 2005; accepted 5 July 2005 Available online 23 September 2005 Abstract In China, rapid urbanization has profoundly transformed the spatial pattern of urban land use, including urban green spaces. The government plans to optimize green spaces to integrate with urban development; this requires an understanding of the process of green space change. Quantification of green space patterns is a prerequisite to understanding green space changes, and is essential for monitoring and assessing green space functions. This paper presents a new method for quantifying and capturing changes in green space patterns, through a case study of Jinan City, China, during 1989–2004. Supported by GIS and remote sensing, the method comprises quantification of local area green spaces by the “moving window” technique (using FRAGSTATS), and a gradient analysis involving sampling from the urban center to the fringe. Results demonstrate that the significantly altered green space pattern could be quantified using landscape metrics in each local area. Gradient analysis undertaken in eight directions from the urban center reflects the changes in and effects of urbanization, and the implementation of government policy. In comparison with quantifying metrics in entire landscapes, this method more effectively links patterns and processes, and can establish an important basis for subsequent analysis of ecological and socioeconomic functions of green spaces. -
Supply Chain Strategic Alliances Partner Selection for Rizhao Port
International Journal of Scientific and Research Publications, Volume 4, Issue 11, November 2014 1 ISSN 2250-3153 Supply Chain Strategic Alliances Partner Selection for Rizhao Port Libin Guo School of Management, Qufu Normal University,Rizhao276826,China Abstract- Under the background of port supply chain strategic alliances,we clarify the current situation of Rizhao Port by SWOT analysis and find out the ST strategy for it, furthermore, we screen out the optimal cooperation partner for Rizhao Port under different alliance forms range from horizontal integration and vertical integration to the blended dynamic logistics alliance. Index Terms- Port Supply Chain; the SWOT Analysis; RiZhao Port; Strategical alliance I. INTRODUCTION ort supply chain, a main constituent of port logistics, includes the levels such as informationization, automation and networking, P and emphasizes the modern management of material transportation chain of each link and the extension of comprehensive services.Meanwhile, due to the connection between ports and suppliers and consumers all over the world through shippping companies and land forwarding agents, a port supply chain integrating many means1 of transportation and types of logistics is formed, and it becomes a relatively best main part and link for the coordinated management of supply chain. Therefore, we can start from the analysis of the SWOT of Rizhao port supply chain, and find out the cooperative partners suitable for the strategical alliance of Rizhao port supply chain among different types of alliance. II. THE SWOT ANALYSIS OF RIZHAO PORT SUPPLY CHAIN The SWOT analysis, a commonly used method of strategic competition, is based on analyzing the internal conditions of enterprises itself, and finds out the strengths, weaknesses and core competence. -
Land-Use Efficiency in Shandong (China)
sustainability Article Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model Yayuan Pang and Xinjun Wang * Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; [email protected] * Correspondence: [email protected] Received: 20 November 2020; Accepted: 14 December 2020; Published: 18 December 2020 Abstract: A reasonable evaluation of land-use efficiency is an important issue in land use and development. By using a super-SBM model, the construction and cultivated land-use efficiency of 17 cities in Shandong from 2006 to 2018 were estimated and the spatial-temporal variation was analyzed. The results showed that: (1) The land use efficiency levels were quite different, and low-efficiency cities impacted the overall development process. (2) The efficiency values of construction land generally fluctuated and rose, meaning that room remains for future efficiency improvements. Cultivated land generally showed a high utilization efficiency, but it fluctuated and decreased. (3) The construction land-use efficiency was highest in the midland region, especially in Laiwu city, followed by the eastern region and Qingdao city, and the western region. The spatial variation in cultivated land presented a trend of “high in the middle, low in the periphery,” centered on Jinan and Yantai city. (4) Pure technical efficiency was the main restriction driving inefficient utilization in the western region, while scale efficiency played that role in the east. Based on the findings, policy suggestions were proposed to improve the land-use efficiency in Shandong and promote urban sustainable development. Keywords: land use; efficiency level; super-SBM model; Shandong Province; construction land; cultivated land 1. -
Holocene Environmental Archaeology of the Yangtze River Valley in China: a Review
land Review Holocene Environmental Archaeology of the Yangtze River Valley in China: A Review Li Wu 1,2,*, Shuguang Lu 1, Cheng Zhu 3, Chunmei Ma 3, Xiaoling Sun 1, Xiaoxue Li 1, Chenchen Li 1 and Qingchun Guo 4 1 Provincial Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China; [email protected] (S.L.); [email protected] (X.S.); [email protected] (X.L.); [email protected] (C.L.) 2 State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China 3 School of Geograpy and Ocean Science, Nanjing University, Nanjing 210023, China; [email protected] (C.Z.); [email protected] (C.M.) 4 School of Environment and Planning, Liaocheng University, Liaocheng 252000, China; [email protected] * Correspondence: [email protected] Abstract: The Yangtze River Valley is an important economic region and one of the cradles of human civilization. It is also the site of frequent floods, droughts, and other natural disasters. Conducting Holocene environmental archaeology research in this region is of great importance when studying the evolution of the relationship between humans and the environment and the interactive effects humans had on the environment from 10.0 to 3.0 ka BP, for which no written records exist. This Citation: Wu, L.; Lu, S.; Zhu, C.; review provides a comprehensive summary of materials that have been published over the past Ma, C.; Sun, X.; Li, X.; Li, C.; Guo, Q. -
Factsheet Logistics 08082018
SIME DARBY LOGISTICSAugust 2018 Operates four ports across Weifang and Jining in Shandong,China Weifang Sime Darby Port lies within the prime region of the Bohai Sea’s economic belt, one of the busiest seaways in the world Total handling capacity of approximately 60.8 million metric tonnes (MT) per annum August 2018 SIME DARBY LOGISTICS Dongying Binzhou Denzhou Yantai Weihai Qingdao Jinan Zibo Weifang Liaocheng Taian Weifang Sime Darby Port Co Ltd Rizhao Jining Linyi Heze Zaozhuang People‘s Republic of China Jining Sime Darby Port Co, Ltd Jining Sime Darby Longgong Port Co, Ltd Jining Sime Darby Taiping Port Co,Ltd Sime Darby Logistics is involved in ports and logistics Shandong businesses in the province of Shandong, in Eastern China. The company employs approximately 1,000 employees based in Weifang and Jining. Sime Darby Logistics’ first foray into Shandong began in the prefecture-level city of Weifang with the incorporation of Weifang Sime Darby Port Co Ltd and Weifang Sime Darby Water Management Co Ltd in 2005. Today, Sime Darby Logistics’ operations in China have expanded to include three river ports in the prefecture- level city of Jining. August 2018 PORTS AND LOGISTICS Located in the prime region of the Bohai Sea’s economic Weifang Sime Darby Port Co L td belt, Weifang Port is a seaport that handles bulk (dry and Weifang Sime Darby Port Co Ltd (”Weifang Port”) liquid), general cargo and containers. Weifang Port commenced operations in 1998, following an invitation currently has a total handling capacity of 44.4 million MT from the Weifang Municipal Government to invest in the per annum with an annual throughput of 26.5 million MT. -
Weifang Smart City Lights the Way Ahead for China
HOWHOW TO TO OPERATE OPERATE Weifang Smart City lights the way ahead for China Located in the center of the Shandong Peninsula, Weifang is famed as the birthplace of the kite over 2,400 years ago − legend has it that the philosopher Mozi created kites to send messages. Today, IoT technologies are being used to take the smart city concept to new heights. 8 2018.02 ISSUE 84 / How to Operate panning 16,000 square kilometers, on the public security census information Weifang is Shandong Province’s system, users complete a comprehensive second largest city. It has a verification process to receive an electronic S population of more than 9 million ID in the form of a dynamic QR code. With By Zhang Baoqing and, in 2016, ranked 32nd in economic the e-ID, residents no longer have to carry Director of the Weifang output among prefecture-level cities in a physical ID card when they go out. This is Smart City Project China. In 2014, Weifang established a a major innovation in online ID verification smart city department to improve urban and a first for China. The Ministry of Public With e-ID, management, promote digitalization, and Security has already approved and initiated residents no build a new type of future-ready smart the project. longer have to city. carry a physical Using the Zhiji platform, Cloud Pay was ID card when No Cards, No ID, No Cash upgraded into V Pass, a first-of-its-kind smart city pass for Weifang. The pass they go out. Weifang released the Weifang V app as a combines the user’s ID, driver’s license, This is a major service platform to put smart city services health insurance card, bank cards, bus innovation at residents' fingertips. -
Weifang) Co., Ltd
C ertificate No: Initial certification date: V alid: 1 6 2 346-2014-AQ-RGC-RvA 25 September, 2014 06 November, 2018 - 25 September, 2020 This is to certify that the management system of Birla Carbon China (Weifang) Co., Ltd. Middle of Luhai Road, Weifang Binhai Economic Development Zone, Weifang, Shandong Province, China has been found to conform to the Quality Management System standard: ISO 9001:2015/GB/T 19001-2016 This certificate is valid for the following scope: Design and Manufacture of Carbon Black Products Place and date: For the issuing office: Shanghai, 07 November, 2018 DNV GL – Business Assurance Suite A, Building 9, No.1591 Hongqiao Road, Changning District, Shanghai 200336, P.R. China TEL: +86 21 32799000 Zhu Hai Ming Management Representative Lack of fulfilment of conditions as set out in the Certification Agreement may render this Certificate invalid. ACCREDITED UNIT: DNV GL Business Assurance B.V., ZW OLSEWEG 1, 2994 LB, BARENDRECHT, NETHERLANDS. TEL:+31102922689. assurance.dnvgl.com Certificate No: Initial certification date: Valid: 86714-2010-AE-RGC-RvA 22 October, 2010 22 October, 2019 - 22 October, 2022 This is to certify that the management system of Birla Carbon China (Weifang) Co., Ltd. Middle of Luhai Road, Weifang Binhai Economic Development Zone, Weifang, Shandong Province, P.R. China has been found to conform to the Environmental Management System standard: ISO 14001:2015 This certificate is valid for the following scope: Design and Manufacture of Carbon Black Products Place and date: For the issuing office: Shanghai, 17 October, 2019 DNV GL – Business Assurance Suite A, Building 9, No.1591 Hongqiao Road, Changning District, Shanghai 200336, P.R.