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To Pay Attention to Investment in Human Capital and to Revitalize Old Industrial Bases in Northeast China
www.ccsenet.org/ass Asian Social Science Vol. 7, No. 1; January 2011 To Pay Attention to Investment in Human Capital and to Revitalize Old Industrial Bases in Northeast China Dianwei Qi Post-doctoral Research Center in Business Management, Jilin University & Changchun University of Science and Technology Changchun 130022, China E-mail: [email protected] Li Li Changchun University of Science and Technology Changchun 130022, China Abstract In 2003, the Central Committee of the Communist Party of China made an importance decision to revitalize old industrial bases in Northeast China. quite a large number of experts and academics have provided specific resolutions to how to revitalize old industrial bases in Northeast China. However, there are still some people who hold the idea of waiting, depending and asking, and they believe that only if the country provides loan, policy and project, can old industrial bases in Northeast China be revitalized. To revitalize old industrial bases in Northeast China is a long term process, so offer of loan, policy and project by the country can only resolve demand for momentary use. The top priority is still to integrate human capital and strengthen vigor of investment in human capital. In view of the above situation, this article points out significance of investment in human capital compared with investment in material capital and mentions that in the process of revitalizing old industrial bases in Northeast China, in addition to offer of loan and project by the country, we should change our mind and make use of our intelligence and wisdom to strengthen vigor of investment in human capital and to revitalize old industrial bases in Northeast China. -
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 -
Shengjing Bank Co., Ltd.* (A Joint Stock Company Incorporated in the People's Republic of China with Limited Liability) Stock Code: 02066 Annual Report Contents
Shengjing Bank Co., Ltd.* (A joint stock company incorporated in the People's Republic of China with limited liability) Stock Code: 02066 Annual Report Contents 1. Company Information 2 8. Directors, Supervisors, Senior 68 2. Financial Highlights 4 Management and Employees 3. Chairman’s Statement 7 9. Corporate Governance Report 86 4. Honours and Awards 8 10. Report of the Board of Directors 113 5. Management Discussion and 9 11. Report of the Board of Supervisors 121 Analysis 12. Social Responsibility Report 124 5.1 Environment and Prospects 9 13. Internal Control 126 5.2 Development Strategies 10 14. Independent Auditor’s Report 128 5.3 Business Review 11 15. Financial Statements 139 5.4 Financial Review 13 16. Notes to the Financial Statements 147 5.5 Business Overview 43 17. Unaudited Supplementary 301 5.6 Risk Management 50 Financial Information 6. Significant Events 58 18. Organisational Chart 305 7. Change in Share Capital and 60 19. The Statistical Statements of All 306 Shareholders Operating Institution of Shengjing Bank 20. Definition 319 * Shengjing Bank Co., Ltd. is not an authorised institution within the meaning of the Banking Ordinance (Chapter 155 of the Laws of Hong Kong), not subject to the supervision of the Hong Kong Monetary Authority, and not authorised to carry on banking and/or deposit-taking business in Hong Kong. COMPANY INFORMATION Legal Name in Chinese 盛京銀行股份有限公司 Abbreviation in Chinese 盛京銀行 Legal Name in English Shengjing Bank Co., Ltd. Abbreviation in English SHENGJING BANK Legal Representative ZHANG Qiyang Authorised Representatives ZHANG Qiyang and ZHOU Zhi Secretary to the Board of Directors ZHOU Zhi Joint Company Secretaries ZHOU Zhi and KWONG Yin Ping, Yvonne Registered and Business Address No. -
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 -
Democratic People's Republic of Korea
DEMOCRATIC PEOPLE'S Mingyuegou Tumen Yanji Hunchun Onsong REPUBLIC OF KOREA RUSSIAN FEDERATION g n ia J Songjiang Chongsong ao rd Helong Kyonghung Kha Meihekou E sa Unggi n Fusong Erdaobaihe Hoeryong Quanyang Musan Najin Songjianghe Tumen Baishan Qingyuan Linjiang Samjiyon HAMGYONG- C Tonghua h N 'o BUKTO K a ng Paegam y na jin CHINA on m gs lu on a g Y Chasong Huch'ang Sinp'a Hyesan Myongch'on YANGGANG-DO Paek-am Manp'o Kapsan Nangnim Sindong- Kilchu nodongjagu Wiwon Kanggye CHAGANG-GO P'ungsan Honggul-li SEA OF Kuandian Ch'osan JAPAN Sup'ung Reservoir Ch'onch'on Kimch'aek Kop'ung Ch'angsong Pujon Koin-ni Changjin u Sakchu Tanch'on al Pukchin- Y Nodongjagu Pukch'ong Dandong Taegwam HAMGYONG- Iwon Uiju Huich'on Sinuiju NAMDO P'YONGAN-BUKTO Sinp'o Hyangsan Sinch'ang Kusong T'aech'on dong Tae Tonghae Hamhung Yongamp'o Kujang-up Sonch'on Yongbyon Pakch'on P'YONGAN- Chongp'yong Hungnam Yodok Chongju Kaech'on Tongjoson Man Anju NAMDO Yonghung Sunch'on Kowon P'yong-song Munch'on DEM. PEOPLE'S Sojoson Man Yangdog-up P'yongwon Wonsan REP. OF KOREA Chungsan-up P'yongyang Majon-ni I S Anbyon Onch'on - P'YONGYANG- T'ongch'on 'O Korea P SI n M Koksan i KANGWON-DO A Songnim j N m Hoeyang Bay Namp'o I Kuum-ni (Kosong) HWANGHAR- Sep'o Anak Sariwon BUKTO C Sohung h Ich'on HWANGHAE- ih Kumsong a P'yonggang -r National capital Changyon NAMDO P'yongsan i Kumhwa Provincial capital - Ch'orwon Monggump'o-r T'aet'an G n Sokch'o i Haeju N a Town, village SO h KAE k Ongjin SI u P Major airport Kaesong Ch'unch'on Sogang-ni Munsan International boundary Kangnung Demarcation Line Seoul REPUBLIC OF Provincial boundary KOREA Expressway YELLOW SEA Inch'on H a Main road n Wonju Secondary road Suwon Railroad 0 25 50 75 100 km The boundaries and names shown and the designations Ch'onan used on this map do not imply official endorsement or Sosan acceptance by the United Nations. -
18.4 Water Pollution Treatment Measures and Suggestions
Environment Impact Report for Newly Built Jilin-Hunchun Rail Line Project Contents E2712 V4 7 ASSESSMENTS TO ENVIRONMENTAL VIBRATION IMPACT ....................................................................248 Public Disclosure Authorized 7.1 GENERAL ...............................................................................................................................................................248 7.1.1 Assessment standard......................................................................................................................................248 7.1.2 Analysis to major vibration sources ..............................................................................................................248 7.2 ASSESSMENT TO PRESENT STATUS OF ENVIRONMENTAL VIBRATION .....................................................................249 7.2.1 Introduction to present status of Environmental vibration ............................................................................249 7.2.2 Measurement of present status of Environmental vibration ..........................................................................249 7.2.3 Measurement results and analysis of present environmental vibration.........................................................250 7.3 ASSESSMENT TO ENVIRONMENTAL VIBRATION FORECAST.....................................................................................250 7.3.1 Forecast method ............................................................................................................................................250 -
A Study on Limit Velocity and Its Mechanism and Implications for Alluvial Rivers
International Journal of Sediment Research 31 (2016) 205–211 Contents lists available at ScienceDirect International Journal of Sediment Research journal homepage: www.elsevier.com/locate/ijsrc Original Research A study on limit velocity and its mechanism and implications for alluvial rivers Yanhong Jia a, Zhaoyin Wang b,n, Xiangmin Zheng a, Yanfu Li c a East China Normal University, Shanghai 200241, China b State Key Laboratory of Hydroscience and Engineering of Tsinghua University, Beijing 100084, China c Nanjing Hydraulic Research Institute, Nanjing 210029, China article info abstract Article history: Observations from field investigations showed that flow velocity greater than 3 m/s rarely occurs in Received 29 October 2014 nature, and high flow velocity stresses the bio-community and causes instability to the channel. For Received in revised form alluvial rivers without strong human disturbance, the flow velocity varies within a limited range, gen- 5 January 2015 erally below 3 m/s, while the discharge and wet area may vary in a range of several orders. This phe- Accepted 20 January 2015 nomenon was studied by analyzing hydrological data, including daily average discharge, stage, cross Available online 3 August 2015 sections, and sediment concentration, collected from 25 stations on 20 rivers in China, including the Keywords: Yangtze, Yellow, Songhua, Yalu, Daling, and Liaohe Rivers. The cross-sectional average velocity was cal- Limit velocity culated from the discharge and wet area using the continuity equation. For alluvial rivers, the wet cross Alluvial river section may self-adjust in accordance with the varying flow discharge so that the flow velocity does not Self-adjustment exceed a limit value. -
Cold Wave Climate Characteristics and Risk Zoning in Jilin Province
Journal of Geoscience and Environment Protection, 2018, 6, 38-51 http://www.scirp.org/journal/gep ISSN Online: 2327-4344 ISSN Print: 2327-4336 Cold Wave Climate Characteristics and Risk Zoning in Jilin Province Shiqi Xu1,2, Xueyan Yang1, Rui Sun3, Shuai Fu4, Honghai Liang1, Linan Chen5 1Climate Center of Jilin Province, Changchun, China 2Jilin Provincial Key Laboratory of Changbai Mountain Meteorology & Climate Change, Changchun, China 3Climate Center of Sichuan Province, Chengdu, China 4Institute of Space Weather of NUIST, Nanjing, China 5Liaoyuan City Meteorological Station, Liaoyuan, China How to cite this paper: Xu, S.Q., Yang, Abstract X.Y., Sun, R., Fu, S., Liang, H.H. and Chen, L.N. (2018) Cold Wave Climate Characte- Using the meteorological data of 50 stations in Jilin Province from 1961 to ristics and Risk Zoning in Jilin Province. 2016, the demographic and economic data, and geographical information of Journal of Geoscience and Environment all counties and cities aims to conduct the risk zoning of cold wave disasters Protection, 6, 38-51. https://doi.org/10.4236/gep.2018.68004 in Jilin Province. The results show that, since 1961, the average number of cold wave occurrences per year in Jilin Province is 8.3 days, of which the Received: June 28, 2018 highest number of occurrences occurred in February, followed by December Accepted: August 10, 2018 and January, and the spring cold wave occurred mostly in March. From the Published: August 13, 2018 map of cold-sea disaster risk zoning in Jilin Province, due to factors such as Copyright © 2018 by authors and topography and land use distribution, the west and east of Jilin Province have Scientific Research Publishing Inc. -
The Development of a Hybrid Wavelet-ARIMA-LSTM Model for Precipitation Amounts and Drought Analysis
atmosphere Article The Development of a Hybrid Wavelet-ARIMA-LSTM Model for Precipitation Amounts and Drought Analysis Xianghua Wu 1 , Jieqin Zhou 1,* , Huaying Yu 2,*, Duanyang Liu 3, Kang Xie 1, Yiqi Chen 1, Jingbiao Hu 4, Haiyan Sun 4 and Fengjuan Xing 4 1 School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] (X.W.); [email protected] (K.X.); [email protected] (Y.C.) 2 School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China 3 Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing 210008, China; [email protected] 4 Weather Modification Office of Jilin province, Changchun 130062, China; [email protected] (J.H.); [email protected] (H.S.); [email protected] (F.X.) * Correspondence: [email protected] (J.Z.); [email protected] (H.Y.); Tel.: +86-1595-830-6197 (J.Z.); +86-1330-519-3460 (H.Y.) Abstract: Investigation of quantitative predictions of precipitation amounts and forecasts of drought events are conducive to facilitating early drought warnings. However, there has been limited research into or modern statistical analyses of precipitation and drought over Northeast China, one of the most important grain production regions. Therefore, a case study at three meteorological sites which represent three different climate types was explored, and we used time series analysis of monthly precipitation and the grey theory methods for annual precipitation during 1967–2017. Wavelet transformation (WT), autoregressive integrated moving average (ARIMA) and long short- term memory (LSTM) methods were utilized to depict the time series, and a new hybrid model wavelet-ARIMA-LSTM (W-AL) of monthly precipitation time series was developed. -
Soil Ph Is the Primary Factor Driving the Distribution and Function of Microorganisms in Farmland Soils in Northeastern China
Annals of Microbiology (2019) 69:1461–1473 https://doi.org/10.1007/s13213-019-01529-9 ORIGINAL ARTICLE Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China Cheng-yu Wang1 & Xue Zhou1 & Dan Guo1 & Jiang-hua Zhao1 & Li Yan1 & Guo-zhong Feng1 & Qiang Gao1 & Han Yu2 & Lan-po Zhao1 Received: 26 May 2019 /Accepted: 3 November 2019 /Published online: 19 December 2019 # The Author(s) 2019 Abstract Purpose To understand which environmental factors influence the distribution and ecological functions of bacteria in agricultural soil. Method A broad range of farmland soils was sampled from 206 locations in Jilin province, China. We used 16S rRNA gene- based Illumina HiSeq sequencing to estimated soil bacterial community structure and functions. Result The dominant taxa in terms of abundance were found to be, Actinobacteria, Acidobacteria, Gemmatimonadetes, Chloroflexi, and Proteobacteria. Bacterial communities were dominantly affected by soil pH, whereas soil organic carbon did not have a significant influence on bacterial communities. Soil pH was significantly positively correlated with bacterial opera- tional taxonomic unit abundance and soil bacterial α-diversity (P<0.05) spatially rather than with soil nutrients. Bacterial functions were estimated using FAPROTAX, and the relative abundance of anaerobic and aerobic chemoheterotrophs, and nitrifying bacteria was 27.66%, 26.14%, and 6.87%, respectively, of the total bacterial community. Generally, the results indicate that soil pH is more important than nutrients in shaping bacterial communities in agricultural soils, including their ecological functions and biogeographic distribution. Keywords Agricultural soil . Soil bacterial community . Bacterial diversity . Bacterial biogeographic distribution . -
Kim Il Sung Reminiscences with the Century Vol. V
Kim Il Sung Reminiscences With the Century Vol. V A Aan-ri, (V) 438 Advance Association, (V) 255 Africa, (V) 272 Amnok River, (V) 52, 83, 84, 88, 92, 131, 135, 144, 151, 163, 185, 190, 196, 197, 202, 210, 259, 260, 310, 311, 312, 314, 315, 319, 323, 336, 438, 441, 447 Riverine Road, (V) 102 Amur River, (V) 72, 445 An Chang Ho, (V) 252 An Chung Gun, (V) 349, 366 An Jong Suk, (V) 216, 216 An Kwang Chon, (V) 249, 252 An Tok Hun, (V) 191, 320, 321, 322 An Yong Ae, (V) 79 Anti-Communism, (V) 105, 272, 355 Anti-Factionalism (poem), (V) 237 Anti-Feudalism, (V) 375, 380 Anti-Imperialist Youth League, (V) 221, 267, 430 Anti-Japanese, (V) 3, 3, 7, 8, 10, 15, 16, 17, 18, 19, 23, 26, 27, 28, 31, 33, 34, 35, 37, 38, 39, 40, 41, 47, 51, 52, 56, 57, 58, 59, 60, 64, 65, 70, 75, 79, 82, 83,85, 92, 96, 103, 105, 108, 111, 114, 115, 122, 124, 126, 132, 133, 134, 135, 137, 139, 140, 142, 143, 144, 147, 148, 156, 157, 163, 165, 170, 174, 181, 182, 183, 185, 186, 187, 192, 193, 200, 204, 205, 207, 208, 221, 227, 231, 232, 233, 234, 239, 240, 241, 245, 250, 251, 255, 261, 263, 264, 265, 270, 271, 275, 279, 281, 282, 285, 294, 295, 298, 301, 304, 305, 309, 310, 312, 313, 322, 328, 334, 346, 348, 349, 350, 351, 353, 363, 377, 382, 384, 387, 388, 390, 392, 396, 405, 407, 421, 436, 445 Allied Army, (V) 202, 263 Association, (V) 26, 30, 209, 255, 305 Guerrilla Army of Northern Korea, (V) 306, 307 Youth Daily, (V) 228 Youth League, (V) 189, 244, 434 Anti-Manchukuo, (V) 148, 315 Anti-Soviet, (V) 274 Antu, (V) 4, 42, 47, 48, 76, 133, 138, 210, 216, 216, 325 Appeal -
Identification of Cultural Landscape Factors for Sustainable Development: a Case Study of Traditional Villages in Changbai Mountain Area
IOP Conference Series: Earth and Environmental Science PAPER • OPEN ACCESS Identification of Cultural Landscape Factors for Sustainable Development: A Case Study of Traditional Villages in Changbai Mountain Area To cite this article: Qunsong Zhang et al 2020 IOP Conf. Ser.: Earth Environ. Sci. 495 012045 View the article online for updates and enhancements. This content was downloaded from IP address 150.65.65.118 on 27/08/2020 at 06:33 4th International Conference on Environmental and Energy Engineering (IC3E 2020) IOP Publishing IOP Conf. Series: Earth and Environmental Science 495 (2020) 012045 doi:10.1088/1755-1315/495/1/012045 Identification of Cultural Landscape Factors for Sustainable Development: A Case Study of Traditional Villages in Changbai Mountain Area Qunsong Zhang1,2 *, Eunyoung Kim1, Cuixia Yang2 and Fucun Cao2 1Japan Advanced Institute of Science and Technology,1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan 2 Landscape Architecture, School of Art & Design, Dalian Polytechnic University, No. 1st Qinggongyuan, Ganjingzi, Dalian, Liaoning, China, P.C. 116034 *[email protected] Abstract. Cultural Landscape (CL) is a variety of manifestations of interaction between human beings and their natural environment. CL is the internal power of sustainable development(SD) and has a significant link with the development cycle system. As a carrier of living cultural heritage, traditional villages embody the regional CL formed under the comprehensive effects of natural resources, humanity history, architectural aesthetics, the integration of ethnic groups and production methods, and the symbiosis between human beings and the environment. This paper aims to study a method to identify CL factors of traditional villages based on the elements of SD in the aspects of environment, economy, society, peace and security.