Xuchang, Henan, China) Zhanyang Li, Luc Doyon, Hao Li, Qiang Wang, Francesco D’Errico, Wang Qiang, Zhongqiang Zhang, Qingpo Zhao
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An Exploratory Study of Factors Influencing Examing-Into Xuchang University Ming Guan
Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Sciences 116 ( 2014 ) 2664 – 2669 5th World Conference on Educational Sciences - WCES 2013 An exploratory study of factors influencing examing-into Xuchang University Ming Guan School of Economics,Henan University, Kaifeng and 475004,China Xuchang University,, Xuchang and 461000,China Abstract This case study seeks to explain why students choose to pursue advanced education at Xuchang University, and to assess the strengths and dynamics of the factors influencing the enrollment decision. This study used a combination of quantitative and qualitative research methods to explain the factors and process. Quantitative data from a survey questionnaire were used to identify the factors and to measure their significance in influencing or determining the choice of Xuchang University. Qualitative data from in-person interviews were used to gain insights into how freshmen decide to pursue higher education at Xuchang University. The research findings reveal the significant influence of academic, economic, environmental, and job offer /settledown pulling factors as well as a set of negative pushing factors. This research suggests that to attract top freshmen, Xuchang University should focus on investing in research and ensuring the quality of higher education, while crafting a strategy to enhance awareness of and the overall image of their higher education institutions and programs. © 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center. Keywords: Higher education, enrollment, decision-making, Xuchang University 1. Introduction Xuchang University (XU), located in Xuchang City which is a medium-sized city far from the capital of Henan Province. -
Havana Mambo Settlement Spreadsheet
Schedule A Doe # Marketplace Merchant Name Merchant ID 1 Alibaba Xuchang Sheou Trading Co., Ltd. alicheveux 2 Alibaba Yuzhou Grace Hair Limited Liability Company aligrace 3 Alibaba Xuchang Answer Hair Jewellery Co., Ltd. answerhair 4 Alibaba Xuchang Morgan Hair Products Co., Ltd. ashleyhair 5 Alibaba Xuchang Beautyhair Fashion Co., Ltd. beautyhair 6 Alibaba Xuchang BLT Hair Extensions Co., Ltd. beautyhair-market 7 Alibaba Xuchang Xin Si Hair Products Co., Ltd. belleshow 8 Alibaba Cara (Qingdao) Technology Development Co.,carahair Ltd. 9 Alibaba Henan Shenlong Hair Products Co., Ltd. cn1524184182jtre 10 Alibaba Xuchang Zhaibaobao Electronic Commerce Co.,cnbeyondbeautyhair Ltd. 11 Alibaba Yiwu Fengda Wigs Co., Ltd. cnshengbang 12 Alibaba Xuchang Harmony Hair Products Co., Ltd. cnwigs 13 Alibaba Yiwu Baoshiny Electronic Commerce Co., Ltd. cnwill 14 Alibaba Xuchang Xiujing Hair Products Co., Ltd. cnxcxiujing 15 Alibaba Xi'an Chun Song Xia Xian Trading Co., Ltd. csxx 16 Alibaba Xuchang Dadi Group Co., Ltd. dadihair 17 Alibaba Juancheng Shunfu Crafts Co., Ltd. divadreamlacewigs 18 Alibaba Henan Zhongyuan Hair Products Co., Ltd. dreamices 19 Alibaba Xuchang Xin Long Synthetic Co., Ltd. elegant-muses 20 Alibaba Xuchang Answer Hair Jewellery Co., Ltd exportwig 21 Alibaba Tiwu Baoshiny Electronic fuwu 22 Alibaba Yiwu Pingyun Trading Co., Ltd. goldhome518 23 Alibaba Juancheng County Haipu Crafts Co., Ltd. haipuhair 24 Alibaba Hubei Deshang Industry And Trade Co., Ltd. hairfactory 25 Alibaba Guangzhou Airuimei Hair Products Co., Ltd. hairstar 26 Alibaba Shanghai Happiness Hair Products Co., Ltd. happinesshair 27 Alibaba Hubei Pusheng Trading Co., Ltd. hbpssm 28 Alibaba Henan Shangxiu Trade Co., Ltd. henanshangxiu 29 Alibaba Henan Daihuansen Hair Products Co., Ltd. -
Henan WLAN Area
Henan WLAN area NO. SSID Location_Name Location_Type Location_Address City Province Xuchang College East Campus Ningyuan Dormitory Building No.1, Jinglu 1 ChinaNet School No.88 Bayi Road, Xuchang City ,Henan Province Xuchang City Henan Province Dormitory Building No.1,4,5 2 ChinaNet Henan University Student Apartment School Jinming Road North Section, Kaifeng City, Henan Province Kaifeng City Henan Province North of 500 Meters West Intersection between Jianshe Road and Muye Road 3 ChinaNet Henan Province, Xinxiang City, Henan Normal University Old campus School Xinxiang City Henan Province ,Xinxiang City, Henan Province Physical Education College of Zhengzhou University Dormitory Building 4 ChinaNet School Intersection between Sanquan Road and Suoling Road Zhengzhou City Henan Province 1# Physical Education College of Zhengzhou University Dormitory Building 5 ChinaNet School Intersection between Sanquan Road and Suoling Road Zhengzhou City Henan Province 2# Physical Education College of Zhengzhou University Dormitory Building 6 ChinaNet School Intersection between Sanquan Road and Suoling Road Zhengzhou City Henan Province 5# Zhengzhou Railway Vocational Technology College Tieying Street 7 ChinaNet School Tieying Street ,Erqi District, Zhengzhou City Zhengzhou City Henan Province Campus Dormitory Building No.4 8 ChinaNet Henan Industry and Trade Vocational College Dormitory Building No.3 School No.1,Jianshe Road,Longhu Town Zhengzhou City Henan Province Zhengzhou Broadcasting Movie and Television College Administration 9 ChinaNet School -
Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China
atmosphere Article Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China Junyuan Zhao 1 and Shengjie Wang 2,* 1 School of Business, Xinyang College, West Section of Xinqi Avenue, Shihe District, Xinyang 464000, China; [email protected] 2 College of Geography and Environment Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou 730070, China * Correspondence: [email protected] Abstract: The tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and an overall comfort improvement trend (interannual variation). The change of tourism climate comfort days was similar to the change of the index, especially in the months with a low comfort level. In space, the distribution of the TCCI gradually increased from northeast to southwest, and the area with a high comfort level also increased over time. Meanwhile, it also showed the spatial distribution of months with a low comfort level, which provides reliable information for tourists to use when choosing tourist destinations across all periods of the year. The TCCI was classified by hierarchical classification, and principal components were extracted to explore the main climate factors controlling different types of TCCIs and the relationship between them, and Citation: Zhao, J.; Wang, S. large-scale atmospheric–oceanic variability. According to the temporal change trend and correlation, Spatio-Temporal Evolution and the long-term change trend of tourism climate comfort was predicted, which will provide a scientific Prediction of Tourism Comprehensive basis for tourism planners to choose tourist destinations. -
Announcement of Interim Results for the Six Months Ended 30 June 2020
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. (Stock Code: 0832) ANNOUNCEMENT OF INTERIM RESULTS FOR THE SIX MONTHS ENDED 30 JUNE 2020 FINANCIAL HIGHLIGHTS • Revenue for the six months ended 30 June 2020 amounted to RMB13,019 million, an increase of 43.6% compared with the corresponding period in 2019. • Gross profit margin for the period was 23.7%, a decrease of 3.6 percentage points compared with 27.3% for the corresponding period in 2019. • Profit attributable to equity shareholders of the Company for the period amounted to RMB727 million, an increase of 10.5% compared with the corresponding period in 2019. • Net profit margin for the period was 6.0%, a decrease of 2.5 percentage points compared with 8.5% for the corresponding period in 2019. • Basic earnings per share for the period was RMB26.43 cents, an increase of 9.8% compared with the corresponding period in 2019. • An interim dividend of HK11.0 cents per share for the six months ended 30 June 2020. 1 INTERIM RESULTS The board (the “Board”) of directors (the “Directors” and each a “Director”) of Central China Real Estate Limited (the “Company”) hereby announces the unaudited consolidated results of the Company and its subsidiaries (collectively, the “Group”) for -
Announcement of Interim Results for the Six Months Ended 30 June 2021
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. (Stock Code: 0832) ANNOUNCEMENT OF INTERIM RESULTS FOR THE SIX MONTHS ENDED 30 JUNE 2021 FINANCIAL HIGHLIGHTS • Revenue for the six months ended 30 June 2021 amounted to RMB20,357 million, an increase of 56.4% compared with the corresponding period in 2020. • Gross profit margin for the period was 17.9%, a decrease of 5.8 percentage points compared with 23.7% for the corresponding period in 2020. • Profit attributable to equity shareholders of the Company for the period amounted to RMB729 million, an increase of 0.3% compared with the corresponding period in 2020. • Profit for the period was RMB1,025 million, representing an increase of 30.4% compared with the corresponding period in 2020. • Net profit margin for the period was 5.0%, a decrease of 1.0 percentage point compared with 6.0% for the corresponding period in 2020. • Basic earnings per share for the period was RMB25.63 cents, a decrease of 3.0% compared with the corresponding period in 2020. • Declaration of an interim dividend of HK14.75 cents per share for the six months ended 30 June 2021. 1 INTERIM RESULTS The board (the “Board”) of directors (the “Directors” and each a “Director”) of Central China Real Estate -
The Study of Size-Grade of Prehistoric Settlement in the Circum-Songshan Area Based on SOFM Network
J. Geogr. Sci. 2013, 23(3): 538-548 DOI: 10.1007/s11442-013-1027-5 © 2013 Science Press Springer-Verlag The study of size-grade of prehistoric settlement in the Circum-Songshan area based on SOFM network LU Peng1,2, TIAN Yan2, *YANG Ruixia3 1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China; 2. Institute of Geography, Henan Academy of Sciences, Zhengzhou 450052, China; 3. Center for Earth Observation and Digital Earth, CAS, Beijing 10009, China Abstract: Choosing site area, cultural layer thickness, significant relics and significant re- mains as the variables, we applied cluster analysis to the ancient settlements of four cultural periods, respectively, which were Peiligang, Yangshao, Longshan and Xiashang, in 9000–3000 a BP, around Songshan Mountain. Through application of the SOFM (self-organizing feature map) networks, every type of ancient settlements was classified into different size-grades. By this means, the Peiligang settlements were divided into two grades, Yangshao and Longshan settlements were divided into three grades, respectively, and Xi- ashang settlements were divided into four grades. The results suggested that the size-grade diversity of ancient settlements was not significant during the Peiligang period in this area. Around the middle–late Yangshao period (5000 a BP), the size-grade diversity of ancient settlements began to appear, a process that continued during the Longshan period and finally matured in the Xiashang period. Moreover, the results reflected the regional differences in cultural characteristics in a particular period, which were mainly represented in that there were three Peiligang cultural systems distributed in different areas. Such differences also existed in the spatial distributive characteristics between the Xia and Shang cultures. -
Performance of Alfalfa Varieties with Different Fall Dormancy Across Different Production Areas of Henan Province of China
African Journal of Agricultural Research Vol. 7(46), pp. 6197-6203, 5 December, 2012 Available online at http://www.academicjournals.org/AJAR DOI: 10.5897/AJAR12.644 ISSN 1991-637X ©2012 Academic Journals Full Length Research Paper Performance of alfalfa varieties with different fall dormancy across different production areas of Henan Province of China Gong-min Xu, Xue-bing Yan, Cheng-zhang Wang*, Yan-hua Wang and Wen-na Fan College of Animal Science and Veterinary Medicine, Henan Agricultural University, 450002, Zhengzhou, China. Accepted 23 July, 2012 Nineteen alfalfa varieties of seven different fall dormancy (FD) classes (2 to 8) over three years in five different eco-agricultural areas with mild climates in Henan Province of China was studied. The results showed that almost all of the varieties exhibited nearly perfect survival rates, while the variety ‘Siriver’ had a slightly lower survival rate of 98.5%. The variety ‘WL414’ (FD 6) produced the greatest average dry matter (DM) yield across the regions, while the lowest yield was found in ‘Golden Empress’ (FD 2). In addition, the total dry matter (DM) yields of the three years were affected by location and variety and there was significant location × variety interaction. The FD classes and total DM yields were significantly correlated, indicating that FD class should be used as one of the main criterion for alfalfa variety improvement or introduction of new varieties into a temperate region, such as Central China. Beside, special attention should also be paid to the selection of varieties suitable to local conditions because other factors have important influence on DM yields, including the characteristics of a varieties and environmental conditions. -
Supplement of Quantifying the Impact of Synoptic Circulation Patterns on Ozone Variability in Northern China from April to October 2013–2017
Supplement of Atmos. Chem. Phys., 19, 14477–14492, 2019 https://doi.org/10.5194/acp-19-14477-2019-supplement © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017 Jingda Liu et al. Correspondence to: Lili Wang ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License. 1 Text S1 Lamb-Jenkinson circulation typing approach 2 In synoptic climatology, along with subjective or manual approaches, objective or automated 3 approaches are important and widely used synoptic weather typing procedures to identify recurring 4 map patterns or variable groups that typify significant modes of circulation and to classify each case 5 into one of these modes (Yarnal, 1993; Huth et al., 2008). There are many objective methods, such as 6 correlation-based map-pattern technique, sums-of-squares method, rotated principal component 7 analysis, hierarchical clustering (average linkage or Ward’s clustering), and K-means clustering. As 8 suggested by Huth (1996)and Yarnal (1993), , all the methods proved to be capable of yielding 9 meaningful classifications and none of them can be thought of as the best in all aspects. Which method 10 to use will depend mainly on the aim of the classification. Notably, the final number of synoptic types 11 using these algorithms is associated with a given period and region, statistical algorithms, prior 12 knowledge of the synoptic climatology of the region, and experimentation with various statistical 13 procedures; finally, a subjective decision as to how many clusters are appropriate for the study period is 14 made by the investigator. -
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International Conference on Economics, Management, Law and Education (EMLE 2015) Comparative Analysis on Economic Competitiveness of Kaifeng Based on Henan Province Shuang Qiu Yanfang Li China West Normal University China West Normal University Nanchong, Sichuan, China 637009 Nanchong, Sichuan, China 637009 Abstract—Although Kaifeng has achieved some remarkable also a famous historical city with thousands of years culture. results in recent years, in terms of comparing with other cities in Henan province the development of Kaifeng is relatively In recent years, although the economic and social backward. Based on the municipal economic data of Henan programs of Kaifeng developed rapidly, and the tourism and province from 2006 to2013, by using the Factor Analysis, we business of Kaifeng has made remarkable achievements, its demonstrate a comparative and research on urban infrastructure construction in Henan province is still in the competitiveness of Kaifeng in Henan province. Through comparison of low-ranking, comprehensive competitiveness comparative analysis, we find that the economy of Kaifeng is of the capital, such as: talent capital, financial capital, relatively lag, comparing with the other 16 cities in Henan science and technology, economic structure and enterprise province Kaifeng's ranking are basically after ten, finally we management etc. is weakness 【 4 】 .Now along with our put forward some suggestions on the development of Kaifeng. country proposed "Proposal on Rise of the Central Region" and the strategy of "Zhongyuan urban agglomeration Keywords—Kaifeng; economic competitiveness; comparative construction strategy" in Henan province, Kaifeng has analysis ushered in the good opportunities for development. So It has been an important task for how to effectively grasp the I. -
World Bank Document
E-174 VOL. 5 The People's Republic of China .National Highway Project Henan Section Public Disclosure Authorized Upgrading Class I Xinxiang--Zhengzhou highway to the Expressway Standard Environmental Impact - Assessment (Third Revised Version) Public Disclosure Authorized SCANNEDFLE Public Disclosure Authorized HIE4CAPm r #wICr GOMESWC4hR AdIS c C"- Ln-si Henan Provincial Environmental Protection Institute October, 1998 Public Disclosure Authorized Table of Content Chapter 1 General 1.1 Origin of EIA Assignm,ent 1.2 Project location, size and Magnitude 1.3 EIA purpose 1.4 EIA Basis 1.5 EIA Class and Highlight 1.6 Scope of EIA and Environmental Protection Target 1.7 EIA standard and Base year Chapter 2 General Description of Project and Analysis of Environmental Impact 2.1 Description of Works 2.2 Identification of Project Environmental Impact Chapter 3 Local Physical Environment 3.1 Physical Environmental Description 3.2 Present Status for Environmental Noise 3.3 Evaluation of Air Environmental Quality Situation 3.4 Lead content in the layer of farming land at adjacent area of both side of the highway 3.5 Present situation of water quality at Guanxin section of the Yellow River Chapter 4 Environmental Impact Assessment 4.1 Environmental Impact Analysis at Construction Stage 4.2 Environmental Impact Assessment at Operation stage 4.3 Social Impact analysis of the upgrading project Chapter 5 Analysis of the alternative scheme 5.1 Brief Description of Alternative scheme 5.2 Environmental-Status of Alternative Alignment Area 5.3 Comparative -
Printmgr File
DIRECTORS, SENIOR MANAGEMENT AND STAFF GENERAL The following table sets forth information regarding our current Directors and senior officers: Name Age Position Directors Mr. Zhang Yingcen ( )...................... 47 Chairman and executive Director Mr. Xian Zhenyuan ( ) ...................... 35 Executive Director Mr. Feng Yi ( ) ............................. 31 Executive Director Mr. Sun Heng ( ) ............................ 52 Executive Director Mr. Zhang Daoyuan ( ) ..................... 24 Non-executive Director Mr. Chang Zongxian ( )..................... 51 Independent non-executive Director Mr. Li Liuqing ( ) ......................... 36 Independent non-executive Director Mr. Zhang Jiaming ( ) ...................... 29 Independent non-executive Director Ms. Zhao Jun ( ) ............................ 47 Independent non-executive Director Senior Management Mr. Du Qin ( ) .............................. 58 Director and general manager of Xuchang Tian Lun Mr. Xie Chaoyang ( )....................... 47 Chairman and general manager of Xuchang Tian Lun Vehicle, and general manager of Shangjie Tian Lun Mr. Wang Jun ( ) ............................ 59 Chief engineer of our Group Mr. Li Xinjian ( ) .......................... 39 Manager of the finance department of our Group BOARD OF DIRECTORS Our Board consists of nine Directors, comprising four executive Directors, one non-executive Directors and four independent non-executive Directors. The powers and duties of our Board include convening shareholders’ meetings and reporting the Board’s