Remote Sensing Investigation of Geological Hazards in Xingguo County, Jiangxi Province
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Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
International Journal of Geo-Information Article Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models Faming Huang 1, Jiawu Chen 1, Zhen Du 1, Chi Yao 1,*, Jinsong Huang 2, Qinghui Jiang 1, Zhilu Chang 1 and Shu Li 3 1 School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China; [email protected] (F.H.); [email protected] (J.C.); [email protected] (Z.D.); [email protected] (Q.J.); [email protected] (Z.C.) 2 ARC Centre of Excellence for Geotechnical Science and Engineering, University of Newcastle, Newcastle, NSW 2308, Australia; [email protected] 3 Changjiang Institute of Survey, Planning, Design and Research Co., Ltd., Wuhan 430010, China; [email protected] * Correspondence: [email protected]; Tel.: +86-1500-277-6908 Received: 20 March 2020; Accepted: 2 June 2020; Published: 8 June 2020 Abstract: Soil erosion (SE) provides slide mass sources for landslide formation, and reflects long-term rainfall erosion destruction of landslides. Therefore, it is possible to obtain more reliable landslide susceptibility prediction results by introducing SE as a geology and hydrology-related predisposing factor. The Ningdu County of China is taken as a research area. Firstly, 446 landslides are obtained through government disaster survey reports. Secondly, the SE amount in Ningdu County is calculated and nine other conventional predisposing factors are obtained under both 30 m and 60 m grid resolutions to determine the effects of SE on landslide susceptibility prediction. Thirdly, four types of machine-learning predictors with 30 m and 60 m grid resolutions—C5.0 decision tree (C5.0 DT), logistic regression (LR), multilayer perceptron (MLP) and support vector machine (SVM)—are applied to construct the landslide susceptibility prediction models considering the SE factor as SE-C5.0 DT, SE-LR, SE-MLP and SE-SVM models; C5.0 DT, LR, MLP and SVM models with no SE are also used for comparisons. -
Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait Through the Lens of Functional and Innovation Networks
sustainability Article Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait through the Lens of Functional and Innovation Networks Yan Ma * and Feng Xue School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, Fujian, China; [email protected] * Correspondence: [email protected] Received: 17 April 2019; Accepted: 21 May 2019; Published: 24 May 2019 Abstract: Globalization and the spread of information have made city networks more complex. The existing research on city network structures has usually focused on discussions of regional integration. With the development of interconnections among cities, however, the characterization of city network structures on a regional scale is limited in the ability to capture a network’s complexity. To improve this characterization, this study focused on network structures at both regional and local scales. Through the lens of function and innovation, we characterized the city network structure of the Economic Zone of the West Side of the Taiwan Strait through a social network analysis and a Fast Unfolding Community Detection algorithm. We found a significant imbalance in the innovation cooperation among cities in the region. When considering people flow, a multilevel spatial network structure had taken shape. Among cities with strong centrality, Xiamen, Fuzhou, and Whenzhou had a significant spillover effect, which meant the region was depolarizing. Quanzhou and Ganzhou had a significant siphon effect, which was unsustainable. Generally, urbanization in small and midsize cities was common. These findings provide support for government policy making. Keywords: city network; spatial organization; people flows; innovation network 1. -
How the Chinese Government Fabricates Social Media Posts
American Political Science Review (2017) 111, 3, 484–501 doi:10.1017/S0003055417000144 c American Political Science Association 2017 How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument GARY KING Harvard University JENNIFER PAN Stanford University MARGARET E. ROBERTS University of California, San Diego he Chinese government has long been suspected of hiring as many as 2 million people to surrep- titiously insert huge numbers of pseudonymous and other deceptive writings into the stream of T real social media posts, as if they were the genuine opinions of ordinary people. Many academics, and most journalists and activists, claim that these so-called 50c party posts vociferously argue for the government’s side in political and policy debates. As we show, this is also true of most posts openly accused on social media of being 50c. Yet almost no systematic empirical evidence exists for this claim https://doi.org/10.1017/S0003055417000144 . or, more importantly, for the Chinese regime’s strategic objective in pursuing this activity. In the first large-scale empirical analysis of this operation, we show how to identify the secretive authors of these posts, the posts written by them, and their content. We estimate that the government fabricates and posts about 448 million social media comments a year. In contrast to prior claims, we show that the Chinese regime’s strategy is to avoid arguing with skeptics of the party and the government, and to not even discuss controversial issues. We show that the goal of this massive secretive operation is instead to distract the public and change the subject, as most of these posts involve cheerleading for China, the revolutionary history of the Communist Party, or other symbols of the regime. -
Resettlement Plan People's Republic of China: Jiangxi Ganzhou Rural
Resettlement Plan Document Stage: Draft Project Number: 53049-001 August 2021 People’s Republic of China: Jiangxi Ganzhou Rural Vitalization and Comprehensive Environment Improvement Prepared by Ganzhou Municipal People's Government Leading Group Office for the ADB Loan Project in Ganzhou for the Asian Development Bank. CURRENCY EQUIVALENTS (as of 2 August 2021) Currency unit - yuan (CNY) CNY1.00 = US$0.1548 US$1.00 = CNY6.4615 ABBREVIATIONS ADB – Asian Development Bank AP – Affected Person CNY – Chinese Yuan DDR – Due diligence report DI – Design Institute DMS – Detailed Measurement Survey FSR – Feasibility Study Report GRM – Grievance Redress Mechanism HH – Household IA – Implementing Agency LA – Land Acquisition LURT – Land Use Right Transfer LURPI – Land Use for Rural Public Infrastructures PA – Project Area PMO – Project Management Office RP – Resettlement Plan SOL – State-Owned Land WF – Women’s Federation GLOSSARY Affected Persons – In the context of involuntary resettlement, affected persons are those who are physically displaced (relocation, loss of residential land, or loss of shelter) and/or economically displaced (loss of land, assets, access to assets, income sources, or means of livelihoods) because of (i) involuntary acquisition of land, or (ii) involuntary restrictions on land use or on access to legally designated parks and protected areas. Compensation – Money or payment given to affected persons for property, resources, and income losses. Entitlement – According to the loss’s categories of affected persons, they are entitled to get compensation, income restoration, relocation costs, income subsidies and resettlement to restore socioeconomic conditions. Income Restoration – Rebuild the affected persons’ source of income and living standard. Resettlement – Rebuild houses and properties including productive land and public facilities at another area. -
Report on Domestic Animal Genetic Resources in China
Country Report for the Preparation of the First Report on the State of the World’s Animal Genetic Resources Report on Domestic Animal Genetic Resources in China June 2003 Beijing CONTENTS Executive Summary Biological diversity is the basis for the existence and development of human society and has aroused the increasing great attention of international society. In June 1992, more than 150 countries including China had jointly signed the "Pact of Biological Diversity". Domestic animal genetic resources are an important component of biological diversity, precious resources formed through long-term evolution, and also the closest and most direct part of relation with human beings. Therefore, in order to realize a sustainable, stable and high-efficient animal production, it is of great significance to meet even higher demand for animal and poultry product varieties and quality by human society, strengthen conservation, and effective, rational and sustainable utilization of animal and poultry genetic resources. The "Report on Domestic Animal Genetic Resources in China" (hereinafter referred to as the "Report") was compiled in accordance with the requirements of the "World Status of Animal Genetic Resource " compiled by the FAO. The Ministry of Agriculture" (MOA) has attached great importance to the compilation of the Report, organized nearly 20 experts from administrative, technical extension, research institutes and universities to participate in the compilation team. In 1999, the first meeting of the compilation staff members had been held in the National Animal Husbandry and Veterinary Service, discussed on the compilation outline and division of labor in the Report compilation, and smoothly fulfilled the tasks to each of the compilers. -
Research on the Relationship Between Green Development and Fdi in Jiangxi Province
2019 International Seminar on Education, Teaching, Business and Management (ISETBM 2019) Research on the Relationship between Green Development and Fdi in Jiangxi Province Zejie Liu1, a, Xiaoxue Lei2, b, Wenhui Lai1, c, Zhenyue Lu1, d, Yuanyuan Yin1, e 1School of Business, Jiangxi Normal University, Nanchang 330022, China 2 School of Financial and Monetary, Jiangxi Normal University, Nanchang 330022, China Keywords: Jiangxi province, City, Green development, Fdi Abstract: Firstly, based on factor analysis method, this paper obtained the green development comprehensive index and its changing trend of 11 prefecture level cities in Jiangxi Province. Secondly, by calculating Moran's I index, it made an empirical analysis of the spatial correlation of FDI between 11 prefecture level cities in Jiangxi Province, both globally and locally. Finally, this paper further tested the relationship between FDI and green development index by establishing multiple linear regression equation. The results show that the overall green development level of Jiangxi Province shows a steady upward trend, but the development gap between 11 prefecture level cities in Jiangxi Province is large, and the important green development indicators have a significant positive impact on FDI. 1. Introduction As one of the important provinces rising in Central China, Jiangxi has made remarkable achievements in the protection of ecological environment and the promotion of economic benefits while vigorously promoting green development and actively introducing FDI. Data shows that since the first batch of FDI was introduced in 1984, Jiangxi Province has attracted 12.57 billion US dollars of FDI in 2018, with an average annual growth rate of 19.42%. By the first three quarters of 2019, Jiangxi's actual use of FDI amounted to 9.79 billion US dollars, an increase of 8.1%, ranking at the top of the country. -
45022-002: Jiangxi Ji'an Sustainable Urban Transport Project
Social Monitoring Report Project Number: 45022-002 Semi-Annual Report August 2018 PRC: Jiangxi Ji’an Sustainable Urban Transport Project Prepared by Jiangxi Academy of Social Science for the People’s Republic of China and the Asian Development Bank. This social monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Asian Development Bank 3216-PRC ADB Loan Ji’an Sustainable Urban Transport Project External Social and Resettlement Monitoring and Evaluation No.3 Report (April 2018 to August 2018) Monitoring agency: Jiangxi Academy of Social Science August 2018 Executive Abstract According to the ADB’s requirement, the external monitoring of resettlement will be carried out once every six months during the resettlement implementation. The team of EM carried out a monitoring and evaluation on implementation course of LA, HD and resettlement from April to August 2018. The team adopted document method, sampling survey and depth interview method (including interview with affected households and heads of EA.) The results of E&M show both five roads involving LA and HD. The expropriated land and housing carried out state polices, and met with the standards of resettlement plan approved by ADB. -
45022-002: Jiangxi Ji'an Sustainable Urban
Social Monitoring Report Project Number: 45022-002 Semi-Annual Report November 2017 PRC: Jiangxi Ji’an Sustainable Urban Transport Project Prepared by Jiangxi Academy of Social Science for the People’s Republic of China and the Asian Development Bank. This social monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. Asian Development Bank 3216-PRC ADB Loan Ji’an Sustainable Urban Transport Project External Social and Resettlement Monitoring and Evaluation No.1 Report (April 2017 to September 2017) Jiangxi Academy of Social Science November 2017 Executive Abstract According to the ADB’s requirement, the external monitoring of resettlement will be carried out once every six months during the resettlement implementation. The team of EM carried out a monitoring and evaluation on implementation course of LA, HD and resettlement from April to September 2017. The team adopted document method, sampling survey and depth interview method (including interview with affected households and heads of EA.) The EM results show both five roads involving LA and HD. The expropriated land and housing carried out state polices, and met with the standards of resettlement plan approved by ADB. Among these projects, all land were acquired and paid for compensation. -
Annual Report 2019
HAITONG SECURITIES CO., LTD. 海通證券股份有限公司 Annual Report 2019 2019 年度報告 2019 年度報告 Annual Report CONTENTS Section I DEFINITIONS AND MATERIAL RISK WARNINGS 4 Section II COMPANY PROFILE AND KEY FINANCIAL INDICATORS 8 Section III SUMMARY OF THE COMPANY’S BUSINESS 25 Section IV REPORT OF THE BOARD OF DIRECTORS 33 Section V SIGNIFICANT EVENTS 85 Section VI CHANGES IN ORDINARY SHARES AND PARTICULARS ABOUT SHAREHOLDERS 123 Section VII PREFERENCE SHARES 134 Section VIII DIRECTORS, SUPERVISORS, SENIOR MANAGEMENT AND EMPLOYEES 135 Section IX CORPORATE GOVERNANCE 191 Section X CORPORATE BONDS 233 Section XI FINANCIAL REPORT 242 Section XII DOCUMENTS AVAILABLE FOR INSPECTION 243 Section XIII INFORMATION DISCLOSURES OF SECURITIES COMPANY 244 IMPORTANT NOTICE The Board, the Supervisory Committee, Directors, Supervisors and senior management of the Company warrant the truthfulness, accuracy and completeness of contents of this annual report (the “Report”) and that there is no false representation, misleading statement contained herein or material omission from this Report, for which they will assume joint and several liabilities. This Report was considered and approved at the seventh meeting of the seventh session of the Board. All the Directors of the Company attended the Board meeting. None of the Directors or Supervisors has made any objection to this Report. Deloitte Touche Tohmatsu (Deloitte Touche Tohmatsu and Deloitte Touche Tohmatsu Certified Public Accountants LLP (Special General Partnership)) have audited the annual financial reports of the Company prepared in accordance with PRC GAAP and IFRS respectively, and issued a standard and unqualified audit report of the Company. All financial data in this Report are denominated in RMB unless otherwise indicated. -
简报 in February 2016 2016年2月 2016年2月 中国社会福利基金会免费午餐基金管理委员会主办
免费午餐基金 FREE LUNCH FOR CHILDREN BRIEFING简报 IN FEBRUARY 2016 2016年2月 2016年2月 中国社会福利基金会免费午餐基金管理委员会主办 www.mianfeiwucan.org 学校执行汇报 Reports of Registered Schools: 截止2016年2月底 累计开餐学校 517 所 现有开餐学校 437所 现项目受惠人数 143359人 现有用餐人数 104869人 分布于全国23个省市自治区 By the end of February 2016, Free Lunch has found its footprints in 517 schools (currently 437) across 23 provinces, municipalities and autonomous regions with a total of 143,359 beneficiaries and 104,869 currently registered for free lunches. 学校执行详细情况 Details: 2月免费午餐新开餐学校3所, 其中湖南1所,新疆1所,河北1所。 Additional 3 schools are included in the Free Lunch campaign, including 1 in Hunan, 1 in Xinjiang and 1 in Hebei. 学校开餐名单(以拨款时间为准) List of Schools(Grant date prevails): 学校编号 学校名称 微博地址 School No. School Name Weibo Link 2016001 湖南省张家界市桑植县利福塔乡九天洞苗圃学校 http://weibo.com/u/5608665513 Miaopu School of Jiutiandong village, Lifuta Town, Sangzhi County,Zhangjiajie,Hunan Province 2016002 新疆维吾尔族自治区阿克苏地区拜城县赛里木镇英巴格村小学 http://weibo.com/u/5735367760 Primary School of Yingbage Village, Sailimu Town, Baicheng County, Aksu Prefecture, Xinjiang Uygur Autonomous Region 2016003 河北省张家口市赤城县大海陀乡中心小学 http://weibo.com/5784417643 Central Primary School of Dahaituo Town, Chicheng County, Zhangjiakou, Hebei Province 更多学校信息请查看免费午餐官网学校公示页面 For more information about the schools, please view the school page at our official website http://www.mianfeiwucan.org/school/schoolinfo/ 财务数据公示 Financial Data: 2016年2月善款收入: 701万余元,善款支出: 499万余元 善款支出 499万 善款收入 701万 累计总收入 18829万 Donations received: RMB 7.01 million+; Expenditure: RMB 4.99 million+ As of the end of February 2016, Free Lunch for Children has a gross income of RMB 188.29 million. 您可进入免费午餐官网查询捐赠 You can check your donation at our official website: http://www.mianfeiwucan.org/donate/donation/ 项目优秀学校评选表彰名单 Outstanding Schools Name List: 寒假期间,我们对免费午餐的项目执行学校进行了评选表彰活动,感谢学校以辛勤的工作为孩子们带来 温暖安全的午餐。 During the winter holiday, we selected outstanding schools which implemented Free Lunch For Children Program, in recognition of hard work of school staff in providing students warm and safe lunches. -
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. -
Ecological Focus Boosts Tourism, Agriculture
CHINA DAILY chinadaily.COM.CN Friday, September 8, 2017 | PAGE S1-4 | SUPPLEMENT BasicBasic facts facts of Jiangxi EconomicEconomic structure structure ExportedExported products, products, 2016 2016 BasicBasic facts facts of Jiangxiof Jiangxi EconomicEconomic structure structure ExportedExported products, products, 2016 2016 Green developmentGreen development ImportImport and export and exportvolume volume PerPer capita capitaPer disposablecapita disposable disposable income income income of ofurban urban of residentsurban residents residents (yuan) (yuan) (yuan) Green development Import and export volume Per capita disposable income of urban residents (yuan) ElectromechanicalElectromechanicalElectromechanical products products products 41.45%41.45%41.45% Green development Import and(Unit: export $ billion)(Unit: volume $ billion) ExportsExportsImportsImports 20,085 20,085 PrimaryPrimaryPrimary industry: industry: industry: SecondarySecondarySecondary Primary PrimaryPrimary industry: industry: industry: Secondary SecondarySecondary Electromechanical products (Unit: $ billion) Exports Imports 2012 2012 20,085 (Unit: $ billion) 2012 45.9245.9245.92 166,900166,900166,900 53.153.153.1 11.8%11.8% industry:industry: 53.6% 53.6%10.4% 10.4% industry:industry: 49.2% 49.2% 14.92% 63.163.1 22 22 1,5351,5 35 60 60 35 Exports Imports 33.12 33.122012 20,085 45.92 166,900 53.1 11.8%11.8% industry:industry: 53.6% 53.6% 10.4%10.4% industry:industry: 49.2% 49.2% High-techHigh-techHigh-tech products products products 14.92%14.92%14.92% 63.1 22 1,535 60