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												  An Exploratory Study of Factors Influencing Examing-Into Xuchang University Ming GuanAvailable 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.
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												  Havana Mambo Settlement SpreadsheetSchedule 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.
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												  Xuchang, Henan, China) Zhanyang Li, Luc Doyon, Hao Li, Qiang Wang, Francesco D’Errico, Wang Qiang, Zhongqiang Zhang, Qingpo ZhaoEngravings on bone from the archaic hominin site of Lingjing (Xuchang, Henan, China) Zhanyang Li, Luc Doyon, Hao Li, Qiang Wang, Francesco D’errico, Wang Qiang, Zhongqiang Zhang, Qingpo Zhao To cite this version: Zhanyang Li, Luc Doyon, Hao Li, Qiang Wang, Francesco D’errico, et al.. Engravings on bone from the archaic hominin site of Lingjing (Xuchang, Henan, China). Antiquity, Antiquity Publica- tions/Cambridge University Press, 2019, 93 (370), pp.886-900. 10.15184/aqy.2019.81. hal-03008504 HAL Id: hal-03008504 https://hal.archives-ouvertes.fr/hal-03008504 Submitted on 16 Nov 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Engravings on bone from the archaic hominin site of Lingjing (Xuchang, Henan, China) LI, ZhanYang1,2, DOYON, Luc1,3, LI, Hao4,5, WANG Qiang1, ZHANG, ZhongQiang1, ZHAO, QingPo1,2, d’ERRICO, Francesco3,6* 1Institute of Cultural Heritage, Shangong University, 27 Shanda Nanlu, Hongjialou District, Jinan 250100, China. 2Henan Provincial Institute of Cultural Relics and Archaeology, 9 3rd Street North, LongHai Road, Guancheng District, Zhenzhou 450000, China. 3Centre National de la Recherche Scientifique, UMR 5199 – PACEA, Université de Bordeaux, Bât. B18, Allée Geoffroy Saint Hilaire, CS 50023, 33615 Pessac CEDEX, France.
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											Henan WLAN AreaHenan 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
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												  HR Water Consumption Marginal Benefits and Its Spatial–Temporal Disparities in Henan Province, ChinaDesalination and Water Treatment 114 (2018) 101–108 www.deswater.com May doi: 10.5004/dwt.2018.22345 HR water consumption marginal benefits and its spatial–temporal disparities in Henan Province, China Subing Lüa,b, Huan Yanga, Fuqiang Wanga,b,c,*, Pingping Kanga,b aNorth China University of Water Resources and Electric Power, Henan Province 450046, China, email: [email protected] (F. Wang) bCollaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Henan Province 450046, China cHenan Key Laboratory of Water Environment Simulation and Treatment, Henan Province 450046, China Received 7 November 2017; Accepted 4 February 2018 abstract Water is one of the essential resources to production and living. Agriculture, industry, and living are considered as the direct water consumption. This paper employs the concept of marginal product value to estimate the water consumption marginal benefits in Henan Province. We use data on agri- cultural water consumption, industrial water consumption, and domestic water consumption of 18 cities in Henan Province surveyed from 2006 to 2013 and considered the Cobb–Douglas production function. The results showed that, during the study period, except for the marginal benefit of agricul- ture in high developed area, the industrial and domestic water use increased, and the industrial and domestic water use benefits were much higher than agricultural. At the same time, the benefit of the developed area was higher than the developing area. The benefits of agricultural water consumption and industrial water consumption in high developed area have made great improvements gradually, while benefits in low developed area have made small changes; but the benefits of domestic water con- sumption presented the opposite trend.
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												  Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, Chinaatmosphere 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.
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												  Health-Related Quality of Life and Its Related Factors in Coronary Heart Disease Patientswww.nature.com/scientificreports OPEN Health‑related quality of life and its related factors in coronary heart disease patients: results from the Henan Rural Cohort study Yong‑xia Mei1,2,3, Hui Wu4,5,6, Huan‑yun Zhang3, Jian Hou2, Zhen‑xiang Zhang1, Wei Liao2, Xiao‑tian Liu2, Sheng‑xiang Sang2, Zhen‑xing Mao2, Dong‑bin Yang3,7*, Chong‑jian Wang2* & Wei‑hong Zhang1* The aims were to identify the possible infuencing factors of health‑related quality of life (HRQoL) and its domain‑specifc scores in patients with coronary heart disease (CHD). A total of 1247 patients with CHD from the Henan Rural Cohort Study (n = 39,259) were included in this study. The Chinese version of the European Quality of Life Five Dimension Five level scale (EQ‑5D‑5L) and Visual Analogue Scale (VAS) were used to evaluate HRQoL in patients with CHD. Tobit regression, generalized linear models and binary logistic regression were applied to determine the potential factors infuencing the EQ‑5D utility, as well as each domain, and the VAS. CHD patients had lower per capita monthly actual income, and higher rates of diabetes mellitus, stroke, anxiety and poor sleep quality, which signifcantly decreased EQ‑5D index and VAS scores. In addition, sex, older age, education, not having a spouse, ever drinking alcohol, a high‑fat diet, physical activity, hypertension and depression afected the various domain‑specifc EQ‑5D scores in CHD patients. CHD patients in rural areas have a lower HRQoL. Factors associated with the EQ‑5D index, including each domain, and the VAS need attention.
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												  The Role of Weather Conditions Conducive to Severe Haze AndThe Role of Weather Conditions Conducive to Severe Haze and Regional Transport of Air Pollutants of Three Heavy-Polluted Episodes in Henan Province, China during 2015-2016 1,2 1 2 2 Haijiang Kong , Yang Zhang , Zhenhua Dong , and Han Li 1. Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University 2. Henan Provincial Meteorological Center, Zhengzhou, China Model Evaluation % Contribution of Emissions from Henan and Adjacent Introduction Provinces to PM2.5/PM10 in Cities in Henan The frequency of Henan winter severe haze episodes has Temporal Variation increased substantially over the past decades, and it is PM2.5 commonly attributed to increased pollutant emissions PM resulted from China’s rapid economic development. 2.5 Henan Province is one of the most polluted areas in the Beijing-Tianjin-Hebei and its outskirts. Due to the Contribution of emissions within (blue) and out-of-provincial (red) prevailing surface wind and the Taihang Mountains terrain in the west part of Beijing-Tianjin-Hebei, a Transport from out-of-provincial is greater than that within SQ, AY, SMX, HB, PY, and XY for PM and that within SQ, SMX, pollutant transport passage has been formed. The 2.5 PM10 and AY for PM10. PM2.5 pollutants are more easily transported objective of this work is to quantitatively assess the over long distances than coarse particles. impact of the pollutants transport from neighboring PM10 The contributions of local and neighboring provincial provinces. emissions (PM2.5) during three episodes in 2015 Time Henan Beijing-Tianjin-Hebei Shandong Anhui and Jiangsu Hubei Shanxi Model Setup 1127-1201 52.9% 2.2% 2.4% 6.0% 20.7% 3.9% 1205-1214 44.2% 8.0% 9.8% 17.7% 8.8% 5.2% Modeling Domain and Configuration Correlation 1219-1225 44.1% 6.3% 9.8% 18.5% 9.1% 10% The local emissions are top contributor to PM2.5, the second largest contributor is the emissions in Hubei province for the first episode, and the emissions in Jiangsu and Anhui provinces during the second and the third episodes.
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												  Announcement of Interim Results for the Six Months Ended 30 June 2020Hong 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
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												  Energy Markets in China and the Outlook for CMM ProjectU.S. EP.NSII Coalbed Methane Energy Markets in China and the Outlook for CMM Project Development in Anhui, Chongqing, Henan, Inner Mongolia, and Guizhou Provinces Energy Markets in China and the Outlook for CMM Project Development in Anhui, Chongqing, Henan, Inner Mongolia, and Guizhou Provinces Revised, April 2015 Acknowledgements This publication was developed at the request of the U.S. Environmental Protection Agency (USEPA), in support of the Global Methane Initiative (GMI). In collaboration with the Coalbed Methane Outreach Program (CMOP), Raven Ridge Resources, Incorporated team members Candice Tellio, Charlee A. Boger, Raymond C. Pilcher, Martin Weil and James S. Marshall authored this report based on feasibility studies performed by Raven Ridge Resources, Incorporated, Advanced Resources International, and Eastern Research Group. 2 Disclaimer This report was prepared for the U.S. Environmental Protection Agency (USEPA). This analysis uses publicly available information in combination with information obtained through direct contact with mine personnel, equipment vendors, and project developers. USEPA does not: (a) make any warranty or representation, expressed or implied, with respect to the accuracy, completeness, or usefulness of the information contained in this report, or that the use of any apparatus, method, or process disclosed in this report may not infringe upon privately owned rights; (b) assume any liability with respect to the use of, or damages resulting from the use of, any information, apparatus, method, or process
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												  Announcement of Interim Results for the Six Months Ended 30 June 2021Hong 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
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												  The Study of Size-Grade of Prehistoric Settlement in the Circum-Songshan Area Based on SOFM NetworkJ. 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.