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Landscape Analysis of Geographical Names in Hubei Province, China
Entropy 2014, 16, 6313-6337; doi:10.3390/e16126313 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Article Landscape Analysis of Geographical Names in Hubei Province, China Xixi Chen 1, Tao Hu 1, Fu Ren 1,2,*, Deng Chen 1, Lan Li 1 and Nan Gao 1 1 School of Resource and Environment Science, Wuhan University, Luoyu Road 129, Wuhan 430079, China; E-Mails: [email protected] (X.C.); [email protected] (T.H.); [email protected] (D.C.); [email protected] (L.L.); [email protected] (N.G.) 2 Key Laboratory of Geographical Information System, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel: +86-27-87664557; Fax: +86-27-68778893. External Editor: Hwa-Lung Yu Received: 20 July 2014; in revised form: 31 October 2014 / Accepted: 26 November 2014 / Published: 1 December 2014 Abstract: Hubei Province is the hub of communications in central China, which directly determines its strategic position in the country’s development. Additionally, Hubei Province is well-known for its diverse landforms, including mountains, hills, mounds and plains. This area is called “The Province of Thousand Lakes” due to the abundance of water resources. Geographical names are exclusive names given to physical or anthropogenic geographic entities at specific spatial locations and are important signs by which humans understand natural and human activities. In this study, geographic information systems (GIS) technology is adopted to establish a geodatabase of geographical names with particular characteristics in Hubei Province and extract certain geomorphologic and environmental factors. -
Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data
Journal of Building Construction and Planning Research, 2017, 5, 14-29 http://www.scirp.org/journal/jbcpr ISSN Online: 2328-4897 ISSN Print: 2328-4889 Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data Mengjie Zhang1*, Wenwei Miao1, Yingpin Yang2, Chong Peng1, Yaping Huang1 1School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China 2Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China How to cite this paper: Zhang, M.J., Miao, Abstract W.W., Yang, Y.P., Peng, C. and Huang, Y.P. (2017) Spatial-Temporal Features of Wu- Based on the night light data, urban area data, and economic data of Wuhan han Urban Agglomeration Regional De- Urban Agglomeration from 2009 to 2015, we use spatial correlation dimen- velopment Pattern—Based on DMSP/OLS sion, spatial self-correlation analysis and weighted standard deviation ellipse Night Light Data. Journal of Building Con- struction and Planning Research, 5, 14-29. to identify the general characteristics and dynamic evolution characteristics of https://doi.org/10.4236/jbcpr.2017.51002 urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded Received: February 3, 2017 Accepted: March 5, 2017 gradually from northwest to southeast and presented the dynamic evolution Published: March 8, 2017 features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Copyright © 2017 by authors and Agglomeration has obvious imbalance in economic geography space, pre- Scientific Research Publishing Inc. -
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 -
List of Business Partners and Factories – October 2020
Otto Group – List of business partners and factories – October 2020 This list contains business partners (only private labels) as well as the final production factories, which have been active for the Otto Group companies bonprix, Otto, myToys, Heine, Schwab and/or Witt. A business partner/factory is considered active if it has been active within the past 12 months and remains active as of the date the list is created. Only factories that are located in so-called risk countries according to the amfori BSCI classification are included. The Otto Group also produces in non-risk countries, e.g. the EU. All factory related information is based on data that suppliers share with Otto Group companies. The list is updated regularly but not on a daily basis. Type of Supplier Name Country City Factory Address Type of Social Audit/Certificate Business Partner 3S IMPORT & EXPORT SHIJIA CO., LTD China Shijiazhuang n.a. n.a. Business Partner A&R MODEN GMBH Germany Loerrach n.a. n.a. Business Partner A.KUDRESOVO FIRMA Lithuania Kaunas n.a. n.a. Business Partner AANYA DESIGNS MANUFACTURERS & EXPORTERS India Moradabad n.a. n.a. Business Partner AB KAUNO BALDAI Lithuania Kaunas n.a. n.a. Business Partner ABG24 Spolka z ograniczona odpowiedzialnosic (0010053817) Poland Lodz n.a. n.a. Business Partner ACTONA COMPANY A/S Denmark Holstebro n.a. n.a. Business Partner ADALTEKS LTD Bulgaria Sofia n.a. n.a. Business Partner ADAM EXPORTS SYNTHOFINE IND. ESTATE, B (0020010395) India Mumbai n.a. n.a. Business Partner ADIYAMAN DENIZ TEKSTIL SAN VE DIS TIC. -
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. -
Study on Agriculture Competition Mechanism of the Dabie Mountain
2017 International Conference on Economics and Management Engineering (ICEME 2017) ISBN: 978-1-60595-451-6 Study on Agriculture Competition Mechanism of the Dabie Mountain Area Based on Porter’s Model Juan YUAN1,a, Xiu-Ping HE1,b, Qing WANG1,c,* 1Huanggang Normal University, Huanggang City, Hubei Province, 438800, China [email protected], [email protected],[email protected] *Corresponding Author Keywords: The Dabie Mountains, Sightseeing Agriculture, Porter’s Model. Abstract. Agricultural tourism is the major way to promote agricultural efficiency and thus becomes a hot research topic. This paper builds the frame model of sightseeing agriculture competitiveness on the basis of porter's diamond model, and does an empirical analysis of Dabie Mountain area of Luotian using the model. The competitiveness and economic benefits of sightseeing agriculture can be improved through combined actions of 8 factors. As one of the six provinces in central China, Hubei province ranks second among them in terms of GDP. In recent years, although it has rapid economic growth, its economic aggregate rank is going backward, and the characteristic of "depression" is obvious. Huanggang, being in the Wuhan city "8 + 1" circle of Hubei province, its economic development is closely connected with the overall economic development of Hubei province. Dabie Mountain region is part of the Huanggang region and cannot be ignored. Its long history, beautiful scenery and rich tourism resources make tourism a pillar industry in its economic development. According with "a transformation from agriculture-led economy to service-industry-led economy", sightseeing agriculture integrates functions of agricultural sightseeing and experiencing, relaxation, vacation, conference, etc. -
The Publisher Will Re-Type the Main Title, Author
2019 4th International Social Sciences and Education Conference (ISSEC 2019) Effect Analysis and Mechanism Design of Poverty Alleviation in Chinese Contiguous Impoverished Areas——Taking Hubei Province as an Example Yipping Xu*, Wenwu Chen Economics and Finance Department, Wuhan Business University, Wuhan, Hubei, China *Corresponding E-mail: [email protected] Keywords: Contiguous impoverished areas; Poverty alleviation effect evaluation; Principal component analysis; Regional development Abstract: Poverty alleviation work in China’ s contiguous impoverished areas has entered a crucial stage. It is urgent to solve such problems as low precision of poverty alleviation policies, inaccurate regional positioning, poor poverty alleviation efficiency, and multi-dimensional poverty alleviation. Based on such five dimensions of economic level as the output level, consumption level, human resources and medical security, the author constructed a comprehensive evaluation model for poverty alleviation effect in China’s contiguous impoverished areas by the principal component and cluster analysis method, and take Hubei Province as an example, ranking and classifying the comprehensive evaluation of poverty alleviation effects in four contiguous impoverished areas and 29 impoverished counties/urban areas in Hubei Province. The results show that the development of contiguous impoverished areas is quite different, and the poverty alleviation efficiency still needs to be improved. Since the reform and opening, China has vigorously promoted poverty alleviation work, along with the formulation and execution of policies like “China Rural Poverty Alleviation and Development Program (2011-2020)” (hereinafter referred to as the “Outline”) [1], “Opinions of the CPC Central Committee and the State Council on Implementing the Rural Revitalization Strategy” [2], poverty alleviation has made great achievements. -
Cell-Free Fetal DNA Testing and Its Correlation with Prenatal Indications
Wang et al. BMC Pregnancy and Childbirth (2021) 21:585 https://doi.org/10.1186/s12884-021-04044-5 RESEARCH ARTICLE Open Access Cell-free fetal DNA testing and its correlation with prenatal indications Jing-wei Wang1, Yong-nan Lyu1, Bin Qiao1, Yan Li1, Yan Zhang1, Pavan Kumar Dhanyamraju2, Yevgeniya Bamme2, Michael D. Yu3, Dongqin Yang4* and Yong-qing Tong1* Abstract Background: The prenatal test of cell-free fetal DNA (cffDNA) is also known as noninvasive prenatal testing (NIPT) with high sensitivity and specificity. This study is to evaluate the performance of NIPT and its clinical relevance with various clinical indications. Methods: A retrospective analysis was conducted on 14,316 pregnant women with prenatal indications, including advanced maternal age (≥35 years), maternal serum screening abnormalities, the thickened nuchal translucency (≥2.5 mm) and other ultrasound abnormalities, twin pregnancy/IVF-ET pregnancy, etc. The whole-genome sequencing (WGS) of maternal plasma cffDNA was employed in this study. Results: A total of 189 (1.32%) positive NIPT cases were identified, and 113/189 (59.79%)cases were confirmed by invasive prenatal testing. Abnormal serological screening (53.14%) was the most common indication, followed by elderly pregnancy (23.02%). The positive prediction value for T21, T18, T13, sex chromosome abnormalities, other autosomal aneuploidy abnormalities, and CNV abnormalities were 91.84, 68.75,37.50, 66.67, 14.29, and 6.45%, respectively. The positive rate and the true positive rate of nuchal translucency (NT) thickening were the highest (4.17 and 3.33%), followed by the voluntary requirement group (3.49 and 1.90%) in the various prenatal screening indications. -
Resettlement Action Plan
RP28 v 3 Resettlement Action Plan Public Disclosure Authorized Flood Prevention and Reinforcement for Changjiang River Huanggang Backwater Dike Financed by Hubei Government Utilizing World Bank Load Public Disclosure Authorized (Revision) Public Disclosure Authorized Hubei Institute of Water Conservancy & Hydroelectric Engineering Exploration & Design Huanggang Water Conservancy and Hydropower Planning and Design Institute Construction Administration Office of Flood Prevention and Reinforcement of Changjiang River Huanggang Backwater Dike Public Disclosure Authorized August 2007 CONTENT 1 REPORT OVERVIEW ........................................................................................................................3 1.1 PORJECT BACKGROUND ....................................................................................................................3 1.2 CONSISTENCY WITH ORIGINAL PROJECT ..............................................................................................4 1.3 PROJECT INFLUENCE .........................................................................................................................5 1.6 BUDGET ESTIMATION OF COMPENSATION ..........................................................................................7 1.7 RESETTLEMENT ORGANIZATIONS AND SYSTEMS ...............................................................................8 1.8 PUBLIC NEGOTIATION AND SOCIAL ADJUSTMENT...............................................................................9 1.9 IMPORTANT CONTRACT AND -
(WCSV-1), a Novel Soymovirus in Water Chestnuts (Eleocharis Dulcis) Fangpeng Zhang1,2, Zuokun Yang1,2, Ni Hong1,2, Guoping Wang1,2, Aiming Wang3 and Liping Wang1,2*
Zhang et al. BMC Plant Biology (2019) 19:159 https://doi.org/10.1186/s12870-019-1761-7 RESEARCH ARTICLE Open Access Identification and characterization of water chestnut Soymovirus-1 (WCSV-1), a novel Soymovirus in water chestnuts (Eleocharis dulcis) Fangpeng Zhang1,2, Zuokun Yang1,2, Ni Hong1,2, Guoping Wang1,2, Aiming Wang3 and Liping Wang1,2* Abstract Background: A disease of unknown etiology in water chestnut plants (Eleocharis dulcis) was reported in China between 2012 and 2014. High throughput sequencing of small RNA (sRNA) combined with bioinformatics, and molecular identification based on PCR detection with virus-specific primers and DNA sequencing is a desirable approach to identify an unknown infectious agent. In this study, we employed this approach to identify viral sequences in water chestnut plants and to explore the molecular interaction of the identified viral pathogen and its natural plant host. Results: Based on high throughput sequencing of virus-derived small RNAs (vsRNA), we identified the sequence a new-to-science double-strand DNA virus isolated from water chestnut cv. ‘Tuanfeng’ samples, a widely grown cultivar in Hubei province, China, and analyzed its genomic organization. The complete genomic sequence is 7535 base-pairs in length, and shares 42–52% nucleotide sequence identity with viruses in the Caulimoviridae family. The virus contains nine predicated open reading frames (ORFs) encoding nine hypothetical proteins, with conserved domains characteristic of caulimoviruses. Phylogenetic analyses at the nucleotide and amino acid levels indicated that the virus belongs to the genus Soymovirus.ThevirusistentativelynamedWater chestnut soymovirus-1 (WCSV-1). Phylogenetic analysis of the putative viral polymerase protein suggested that WCSV-1 is distinct to other well established species in the Soymovirus genus. -
World Bank Document
Document of The World Bank Public Disclosure Authorized Report No: 20204-CHA Public Disclosure Authorized PROJECT APPRAISAL DOCUMENT ON A PROPOSED LOAN IN THE AMOUNT OF US$210 MILLION TO THE PEOPLE'S REPUBLIC OF CHINA Public Disclosure Authorized FOR THE YANGTZE DIKE STRENGTHENING PROJECT May 31, 2000 Public Disclosure Authorized Rural Development & Natural Resources Sector Unit East Asia and Pacific Region CURRENCY EQUIVALENTS (Exchange Rate Effective January, 2000) Currency Unit = Renminbi (RMB) or Yuan (Y) Y 1.00 = US$ 0.12 US$ 1.00 = Y 8.3 FISCAL YEAR January 1 - December 31 ABBREVIATIONSAND ACRONYMS bcm billion cubic meters mu 0.667 hectare (ha) or 0.164 acres mcm million cubic meters CAS Country Assistance Strategy MOF Ministry of Finance CC Construction Contractor MWR Ministry of Water Resources C/EMO Overall Environmental Coordinator NCB National Competitive Bidding CIDA Canadian International Development Agency NPV Net Present Value COL Collaboration O & M Operation & Maintenance CON Consultation PAP Project Affected People CPCO Central Project Coordination Office PFB Provincial Financial Bureau CWRC Changjiang Water Resources Commission PIP Project Implementation Plan CWRCDI Changjiang Water Resources Commission Design Institute PLG Project Leading Group ECI Environmental Construction Inspector PMO Project Management Office EIA Environmental Impact Assessment POE Panel of Experts EMO Environmental Management Office PPLG Provincial Project Leading Group EMP Environmental Management Plan PPMO Provincial Project Management Office -
Description of Project/2000 for Yangtze Dyke
E-291 VOL. 2 DESCRIPTION OF PROJECT/2000 FOR Public Disclosure Authorized YANGTZEDYKE STRENGTHENING PROJECT Public Disclosure Authorized Public Disclosure Authorized MARCH2000 Public Disclosure Authorized ResearchInstitute for YangtzeWater Resources Protection With assistancefrom: HunanWater Conservancy& Hydropower Survey & DesignInstitute HubeiWater Conservancy & Hydropower Survey & DesignInstitute YBFCP/EIAFINAL REPORT CHAPTER 2: PROJECTDESCRIPTION CHAPTER 2 PROJECT DESCRIPTION TABLE OF CONTENTS: TEXT 2.1 Project Background 2.1.1Yangtze River and Flooding 2.1.2 MasterPlan for YangtzeBasin Development 2.1.3 Need for YBFCP 2.2 Project Components 2.2.1 Dyke Rehabilitation 2.2.2 Resettlement 2.3 Environmental Protection Measures 2.4 Construction Program 2.4.1 Construction Layouts 2.4.2 Construction Methods for Main Items 2.4.3 Construction Schedule 2.4.4 Summary of Construction Program 2.5 Comparison of Altematives 2.5.1 Non-project Alternative 2.5.2 Other AlternativesConsidered 2-.6Economic Analysis of Project 2.6.1 Introduction 2.6.2 Project Budget 2.6.3 Benefit-Cost Analysis 2.7 Project Management 2.7.1 Introduction 2.7.2 Establishment of Institutions 2.7.3 Project Management 2.7.4 TechnicalManagement 2.7.5 Financial Management 2.8 Summary and Conclusions FIGURES Figure 2.2-1 Project Area Figure 2.2-2 Sub-project in Hubei Figure 2.2-3 Sub-project in Hunan Figure 2.2-4 Typical Resettlement Area in Hunan Figure 2.4-1 Sketch-map of Typical Dyke Section Figure 2.7-1 Sketch-map of Project Management System TABLES Table 2. 1-1 Condition of