Title: China – Henan Province – Catholics – Underground Churches – Pprison Release Certificate – Xinyang Prisons
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2019 International Religious Freedom Report
CHINA (INCLUDES TIBET, XINJIANG, HONG KONG, AND MACAU) 2019 INTERNATIONAL RELIGIOUS FREEDOM REPORT Executive Summary Reports on Hong Kong, Macau, Tibet, and Xinjiang are appended at the end of this report. The constitution, which cites the leadership of the Chinese Communist Party and the guidance of Marxism-Leninism and Mao Zedong Thought, states that citizens have freedom of religious belief but limits protections for religious practice to “normal religious activities” and does not define “normal.” Despite Chairman Xi Jinping’s decree that all members of the Chinese Communist Party (CCP) must be “unyielding Marxist atheists,” the government continued to exercise control over religion and restrict the activities and personal freedom of religious adherents that it perceived as threatening state or CCP interests, according to religious groups, nongovernmental organizations (NGOs), and international media reports. The government recognizes five official religions – Buddhism, Taoism, Islam, Protestantism, and Catholicism. Only religious groups belonging to the five state- sanctioned “patriotic religious associations” representing these religions are permitted to register with the government and officially permitted to hold worship services. There continued to be reports of deaths in custody and that the government tortured, physically abused, arrested, detained, sentenced to prison, subjected to forced indoctrination in CCP ideology, or harassed adherents of both registered and unregistered religious groups for activities related to their religious beliefs and practices. There were several reports of individuals committing suicide in detention, or, according to sources, as a result of being threatened and surveilled. In December Pastor Wang Yi was tried in secret and sentenced to nine years in prison by a court in Chengdu, Sichuan Province, in connection to his peaceful advocacy for religious freedom. -
50-Christians-From-The-Church-Of
Table of Contents 1. Christian Xie Yongjiang Tortured to Death by Chinese Communist Police ............... 4 2. Christian Zhan Hongmei Brutally Beaten to Death by Chinese Communist Police ....................................................................................... 7 3. Christian Gao Cuiqin Electrocuted to Death by Chinese Communist Police ............. 9 4. Church Leader He Chengrong Tortured to Death by Chinese Communist Police ..................................................................................... 11 5. Christian Li Suansuan Injured and Killed by Chinese Communist Government .... 14 6. Christian Zhang Zhaoqi Beaten to Death With Stick by Chinese Communist Police .......................................................................................... 16 7. Church Leader Jiang Guizhi Ravaged to Death by Chinese Communist Government ............................................................................... 18 8. Preacher Ye Aizhong Electrocuted to Death by Chinese Communist Police ........... 21 9. Christian Zhang Ruixia Tortured to Death by Chinese Communist Government .......................................................................... 23 10. Christian Zhang Hongtao Tortured to Death by Chinese Communist Police ......... 26 11. Christian Zhang Laigu Murdered While in Custody .................................................. 28 12. Church Leader Ma Suoping Injured and Killed by Chinese Communist Government .......................................................................... 30 13. Christian -
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 -
Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China
JULY 2020 X U E T A L . 1239 Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China DEHE XU College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou, China QI ZHANG College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China YAN DING AND HUIPING HUANG College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou, China (Manuscript received 6 November 2019, in final form 29 March 2020) ABSTRACT Drought forecasts could effectively reduce the risk of drought. Data-driven models are suitable forecast tools because of their minimal information requirements. The motivation for this study is that because most data-driven models, such as autoregressive integrated moving average (ARIMA) models, can capture linear relationships but cannot capture nonlinear relationships they are insufficient for long-term predic- tion. The hybrid ARIMA–support vector regression (SVR) model proposed in this paper is based on the advantages of a linear model and a nonlinear model. The multiscale standard precipitation indices (SPI: SPI1, SPI3, SPI6, and SPI12) were forecast and compared using the ARIMA model and the hybrid ARIMA–SVR model. The performance of all models was compared using measures of persistence, such as the coefficient of determination, root-mean-square error, mean absolute error, Nash–Sutcliffe coefficient, and kriging interpolation method in the ArcGIS software. The results show that the prediction accuracies of the multiscale SPI of the combined ARIMA–SVR model and the single ARIMA model were related to the time scale of the index, and they gradually increase with an increase in time scale. -
The People's Liberation Army's 37 Academic Institutions the People's
The People’s Liberation Army’s 37 Academic Institutions Kenneth Allen • Mingzhi Chen Printed in the United States of America by the China Aerospace Studies Institute ISBN: 9798635621417 To request additional copies, please direct inquiries to Director, China Aerospace Studies Institute, Air University, 55 Lemay Plaza, Montgomery, AL 36112 Design by Heisey-Grove Design All photos licensed under the Creative Commons Attribution-Share Alike 4.0 International license, or under the Fair Use Doctrine under Section 107 of the Copyright Act for nonprofit educational and noncommercial use. All other graphics created by or for China Aerospace Studies Institute E-mail: [email protected] Web: http://www.airuniversity.af.mil/CASI Twitter: https://twitter.com/CASI_Research | @CASI_Research Facebook: https://www.facebook.com/CASI.Research.Org LinkedIn: https://www.linkedin.com/company/11049011 Disclaimer The views expressed in this academic research paper are those of the authors and do not necessarily reflect the official policy or position of the U.S. Government or the Department of Defense. In accordance with Air Force Instruction 51-303, Intellectual Property, Patents, Patent Related Matters, Trademarks and Copyrights; this work is the property of the U.S. Government. Limited Print and Electronic Distribution Rights Reproduction and printing is subject to the Copyright Act of 1976 and applicable treaties of the United States. This document and trademark(s) contained herein are protected by law. This publication is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal, academic, or governmental use only, as long as it is unaltered and complete however, it is requested that reproductions credit the author and China Aerospace Studies Institute (CASI). -
Statistical and Network Analysis of 1212 COVID-19 Patients in Henan, China
International Journal of Infectious Diseases 95 (2020) 391–398 Contents lists available at ScienceDirect International Journal of Infectious Diseases journal homepage: www.elsevier.com/locate/ijid Statistical and network analysis of 1212 COVID-19 patients in Henan, China a,b,c, d, a e a a Pei Wang *, Jun-an Lu *, Yanyu Jin , Mengfan Zhu , Lingling Wang , Shunjie Chen a School of Mathematics and Statistics, Henan University, Kaifeng, 475004, China b Institute of Applied Mathematics, Henan University, Kaifeng, 475004, China c Laboratory of Data Analysis Technology, Henan University, 475004, Kaifeng, China d School of Mathematics and Statistics, Wuhan University, Wuhan, 430070, China e School of Mathematics and Statistics, Zhongnan University of Economics and Law, Wuhan, 430073, China A R T I C L E I N F O A B S T R A C T Article history: Background: COVID-19 is spreading quickly all over the world. Publicly released data for 1212 COVID-19 Received 18 March 2020 patients in Henan of China were analyzed in this paper. Received in revised form 15 April 2020 Methods: Various statistical and network analysis methods were employed. Accepted 18 April 2020 Results: We found that COVID-19 patients show gender (55% vs 45%) and age (81% aged between 21 and 60) preferences; possible causes were explored. The estimated average, mode and median incubation Keywords: periods are 7.4, 4 and 7 days. Incubation periods of 92% of patients were no more than 14 days. The COVID-19 epidemic in Henan has undergone three stages and has shown high correlations with the numbers of Henan province patients recently returned from Wuhan. -
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. -
Prisoners List 2014
Freedom of Religion or Belief & ‘Blasphemy’ Prisoners List 2014 Edited by Willy Fautré Mark Barwick, Nathan Black, Sam Fife, Olga Hruba, Serena Romeo & Alfiaz Vaiya 31 December 2014 1 No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from Human Rights Without Frontiers International. Requests for permission to make copies of any part of this publication should be mailed to the address below. Human Rights Without Frontiers International Avenue d’Auderghem 61/16, 1040 Brussels, Belgium Tel./ Fax: +32-2-3456145 Website: http://www.hrwf.eu Email: [email protected] 2 Table of Contents FORB PRISONERS’ LIST INTRODUCTION ...................................................................................... 5 AZERBAIJAN........................................................................................ 7 AZERBAIJAN/ NAGORNO-KARABAKH ....................................... 10 BHUTAN .............................................................................................. 12 CHINA .................................................................................................. 14 ERITREA ............................................................................................. 49 IRAN ..................................................................................................... 56 KAZAKHSTAN .................................................................................. -
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 -
Central China Securities Co., Ltd
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. Central China Securities Co., Ltd. (a joint stock company incorporated in 2002 in Henan Province, the People’s Republic of China with limited liability under the Chinese corporate name “中原證券股份有限公司” and carrying on business in Hong Kong as “中州證券”) (Stock Code: 01375) ANNUAL RESULTS ANNOUNCEMENT FOR THE YEAR ENDED 31 DECEMBER 2017 The board (the “Board”) of directors (the “Directors”) of Central China Securities Co., Ltd. (the “Company”) hereby announces the audited annual results of the Company and its subsidiaries for the year ended 31 December 2017. This annual results announcement, containing the full text of the 2017 annual report of the Company, complies with the relevant requirements of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited in relation to information to accompany preliminary announcements of annual results and have been reviewed by the audit committee of the Company. The printed version of the Company’s 2017 annual report will be dispatched to the shareholders of the Company and available for viewing on the website of Hong Kong Exchanges and Clearing Limited at www.hkexnews.hk, the website of the Shanghai Stock Exchange at www.sse.com.cn and the website of the Company at www.ccnew.com around mid-April 2018. -
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 -
Mass Internment Camp Implementation, Abuses
CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2020 ONE HUNDRED SIXTEENTH CONGRESS SECOND SESSION DECEMBER 2020 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: https://www.cecc.gov 2020 ANNUAL REPORT CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2020 ONE HUNDRED SIXTEENTH CONGRESS SECOND SESSION DECEMBER 2020 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: https://www.cecc.gov U.S. GOVERNMENT PUBLISHING OFFICE 40–674 PDF WASHINGTON : 2020 CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA LEGISLATIVE BRANCH COMMISSIONERS House Senate JAMES P. MCGOVERN, Massachusetts, MARCO RUBIO, Florida, Co-chair Chair JAMES LANKFORD, Oklahoma MARCY KAPTUR, Ohio TOM COTTON, Arkansas THOMAS SUOZZI, New York STEVE DAINES, Montana TOM MALINOWSKI, New Jersey TODD YOUNG, Indiana BEN MCADAMS, Utah DIANNE FEINSTEIN, California CHRISTOPHER SMITH, New Jersey JEFF MERKLEY, Oregon BRIAN MAST, Florida GARY PETERS, Michigan VICKY HARTZLER, Missouri ANGUS KING, Maine EXECUTIVE BRANCH COMMISSIONERS To Be Appointed JONATHAN STIVERS, Staff Director PETER MATTIS, Deputy Staff Director (II) CONTENTS Page Section I. Executive Summary ................................................................................ 1 a. Statement From the Chairs ......................................................................... 1 b. Overview ....................................................................................................... 3 c. Key