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Tuberculosis-Related Stigma and Its Determinants
Chen et al. BMC Public Health (2021) 21:6 https://doi.org/10.1186/s12889-020-10055-2 RESEARCH ARTICLE Open Access Tuberculosis-related stigma and its determinants in Dalian, Northeast China: a cross-sectional study Xu Chen, Liang Du, Ruiheng Wu, Jia Xu, Haoqiang Ji, Yu Zhang, Xuexue Zhu and Ling Zhou* Abstract Background: The stigma of tuberculosis (TB) poses a significant challenge to TB control because it leads to delayed diagnosis and non-adherence. However, few studies on TB-related stigma have been completed in China. The aim of the current study was to explore the status of TB-related stigma and its associated predictive factors among TB patients in Dalian, Northeast China. Methods: An institution-based, cross-sectional survey was conducted among outpatients at Dalian Tuberculosis Hospital in Liaoning Province, Northeast China. Data were collected by using a questionnaire that measured TB- related stigma, treatment status, anxiety, social support, doctor-patient communication and so on. A multiple linear regression model was used to determine the predictors of TB-related stigma. Results: A total of 601 eligible participants were recruited. The mean score for TB-related stigma was 9.07, and the median score was 10. The average scores for anxiety, social support and doctor-patient communication were 4.03, 25.41 and 17.17, respectively. Multiple linear regression analysis revealed that patients who were female (β = 1.19, 95% CI: 0.38–2.01, P < 0.05), had self-assessed moderate or severe disease (β = 1.08, 95% CI: 0.12–2.03 and β = 1.36, 95% CI: 0.03–2.70, respectively, P < 0.05), and had anxiety (β = 0.38, 95% CI: 0.30–0.46, P < 0.001) were more likely to have a greater level of TB-related stigma than their counterparts. -
Study on the Economic Competitiveness
6th International Conference on Management, Education, Information and Control (MEICI 2016) Study on the Economic Competitiveness Evaluation of Coastal Counties: Example as Liaoning Province Qiang Mao School of Management, Bohai University, Jinzhou 121013, China. [email protected] Keywords: Economic competitiveness; Competitiveness evaluation; Coastal counties Abstract. The competitiveness of coastal county is an important area of study on regional competitiveness, and evaluation study on county economy is important basis and foundation to improve the competitiveness of coastal county economy. Based on a brief description of literature review, a method based on stakeholders’ perspective is proposed to solve the competitiveness evaluation problem. In addition, the effectiveness of the proposed method is illustrated by the example as Liaoning province. Finally, some countermeasures are proposed to promote coastal county economy according the evaluation result and characteristics. Introduction Due to convenient transportation conditions for international trade, coastal counties get prosperity for trading with the world and will be easy to form manufacturing bases for processing trade. Many scholars are attracted to the research of economic competitiveness evaluation for its widely application background. Liu(2013) established evaluation index system of county economy for Tangshan, and proposed a method for county economy evaluation based on factor analysis [1]. He(2014) designed evaluation index system based on the perspective of economy development demand in county level, and analyzed the supporting ability of science and technology in Anhui by means of analytic hierarchy process(AHP) [2].Above mentioned methods have each superiority, but evaluation results rely too much on experts’ preference. Evaluation objects are considered as passive objects in the above evaluation problems, while evaluation objects always have more complete evaluation information. -
Summary on Marine and Coastal Protected Areas in NOWPAP Region
Summary on Marine and Coastal Protected Areas in NOWPAP Region (NOWPAP DINRAC, March 2010) 1. Overview This summary is based on the Database on Coastal and Marine Nature Reserves in the Northwest Pacific Region (NowpapNatureReserve, http://dinrac.nowpap.org/NowpapNatureReserve.php) which is developed and maintained by NOWPAP DINRAC. The data was collected and provided by the National Focal Points of DINRAC started from 2006 and updated periodically. The WDPA (World database of protected areas, http://www.wdpa-marine.org), and the Ramsar Sites Database (http://ramsar.wetlands.org) were also taken as reference. The summary intends to give an overview and understanding on current situation of marine and coastal protected areas (MPAs) in NOWPAP region. The MPAs - marine and coastal protected areas comprise the nature reserves, national parks, wetland protected areas (Ramsar Sites) in NOWPAP Region. The sea area mainly covers the Yellow Sea and Eastern Area of NOWPAP region. Based on the existing data, there are total 87 MPAs in NOWPAP region covers an area of 4,090,046ha (Table 1 to Table 3). The earliest MPA was established in October 1916 and the latest was in August 2007 (Table 4). The smallest area is 10ha in Japan and largest area is 909,000ha in China (Table 5). Statistics tables and figures below are conducted on number, area, protected level, protected type and protected objectives (species) for MPAs in NOWPAP (Table 6 and Fig.1 to Fig.5). The list (List 1) and the location of the MPAs (Map 1) are listed individually. 2. Statistics Table 1. Number of MPAs in NOWPAP Region by Country Level Protected Type Country Total Wild Municipal/ Natural Nature Number National Provincial animal and County ecosystem heritage plant China 20 9 5 6 15 17 17 Japan 31 17 14 0 31 31 20 Korea 22 22 0 0 22 20 13 Russia 14 7 7 0 14 14 7 Region 87 55 26 6 82 82 57 1 Table 2. -
Geophysical, Cultural and Behavioral Differences Between High and Low Risk Areas of Gastric Cancer in Liaonin Province in China
S-177 Geophysical, Cultural and Behavioral Differences between High and Low Risk Areas of Gastric Cancer in Liaonin Province in China Zhong-xing Sun1, Xi-wen Bail, Xiao-song Yu1, Kunio Aoki2, Yoshinori lto3, and Ryuichiro Sasaki4 1. China Medical University, Shenyang, China 2. Aichi Cancer Center, Nagoya, Japan 3. Fujita Health University, School of Medicine, Aichi, Japan 4. Nagoya University School of Medicine, Nagoya, Japan Geophysical and socio-medical backgrounds including dietary habits be- tween high risk and low risk areas of gastric cancer in Liaonin Province, China, were compared and analysed. Case-control study on psychobehav- ioral factors was carried out. The characteristics of high risk area was acid brown soil, drinking water with high nitrates, high rate of illiterates, unfavor- able eating behavior and frequent intake of salty foods and foods with mu- tagens. Psychobehavioral factors may associate with higher incidence of gastric cancer. Gastric cancer, High risk area, Geophysical factors, Diet, Psychobehavioral condition INTRODUCTION Marked differences in mortality rates of gastric cancer between counties in Liaonin Province were repeatedly reported before. We confirmed a significant regional differences in 43 counties of Liaonin Province, by examining age-adjusted death rates of stomach cancer in 1973-75(1).Geophysical and socio-medical backgrounds between a high risk area and a low risk were compared for studying contributing factors of gastric cancer, and a role of psychobehav- ioral factors associated with gastric cancer were examined. Two village were selected for comparison, one was Guanlu village, Zhuanghe county with high age-adjusted gastric cancer mortality of 59.1/105, and the control was Zhangtun village, Xinmin Province with a mortality of less than 10/105 in 1982-83. -
Environmental Health and Justice Supplemental Figures (PDF)
Journal of Environmental Health June 2018, Volume 80, Number 10 E-Journal Article: Environmental Health and Justice in a Chinese Environmental Model City Supplemental Figures Supplemental Figure 1 Dalian’s location in China (A), Dalian’s administrative division (B), and former Jinzhou’s administrative division (C) including 24 townships, major polluters, the Dengshahe River, landfill areas, garbage dumps, and rural-urban divisions, based on a map compiled by Jinzhou New District Bureau of Development and Reform (unpublished data). The construction of Dengshahe Industrial Park started in 2006 when a major polluter, Dalian Steel, relocated from the Ganjingzi District and expanded at the new site. Smaller polluters associated with steel production followed, including Air Liquide (Dalian) Co., Ltd. and Dalian Huicheng Aluminum Co., Ltd. Jinzhou Hot-Dip Galvanizing, Ltd. relocated its more polluting production to the new site in Qidingshan Township in 2009 while keeping its less polluting production in Guangming Township. Dagushan Industrial Zone was established in the late 1990s and currently houses Western Pacific Petrochemicals, Fujia Dalian Chemicals, and Dalian Trico Chemical Co., Ltd. The western coast of Jinzhou has been the site of garbage dumps and landfills with solid waste from urban Dalian and urban Jinzhou. Supplemental Figure 2 Results of space-time cluster analyses on cancer mortality in Jinzhou, Dalian, 2006–2013. The tier-one cluster is centered on Dalijia and includes eight townships within a radius of 17 kilometers (see also Table 5). The hot spots clustered in the period of 2009–2012. The cancer mortality rate was 223 per 100,000, 35% higher than the expected rate with a relative risk factor of 1.42. -
Basic Characteristics and Spatial Patterns of Pseudo-Settlements—Taking Dalian As an Example
International Journal of Environmental Research and Public Health Article Basic Characteristics and Spatial Patterns of Pseudo-Settlements—Taking Dalian as An Example Jiaji Gao 1,2,3,†, Yingjia Zhang 1,3,† and Xueming Li 1,3,* Received: 30 July 2015; Accepted: 22 December 2015; Published: 20 January 2016 Academic Editor: Paul B. Tchounwou 1 School of Urban and Environmental Sciences, Liaoning Normal University, Dalian 116029, China; [email protected] (J.G.); [email protected] (Y.Z.) 2 Applied Technology College of Dalian Ocean University, Dalian 116300, China 3 The Research Center of Human Settlements, Liaoning Normal University, Dalian 116029, China * Correspondence: [email protected]; Tel.: +86-0411-8215-8258 † These authors contributed equally to this work. Abstract: A person’s living behavior patterns are closely related to three types of settlements: real-life settlements, imagined settlements, and pseudo-settlements. The term “pseudo-settlement” (PS) refers to the places that are selectively recorded and represented after the mass media chose and restructure the residence information. As the mass media rapidly develops and people’s way of obtaining information gradually change, PS has already become one of the main ways for people to recognize and understand real-life settlements, as well as describe their impressions of imagined settlements. PS also has a profound impact on tourism, employment, investment, migration, real estate development, etc. Thus, the study of PSs has important theoretical and practical significance. This paper proposes to put forward residential quarters where the mass media is displayed as the object of study and establishes the pseudo-settlement index system of Dalian in and elaborate analysis of the concept of PSs. -
Study on GIS Visualization in Evaluation of the Human Living Environment in Shenyang-Dalian Urban Agglomeration
Hindawi Publishing Corporation Scientifica Volume 2016, Article ID 7462832, 10 pages http://dx.doi.org/10.1155/2016/7462832 Research Article Study on GIS Visualization in Evaluation of the Human Living Environment in Shenyang-Dalian Urban Agglomeration Kang Hou, Jieting Zhou, Xuxiang Li, and Shengbin Ge School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China Correspondence should be addressed to Xuxiang Li; [email protected] Received 7 December 2015; Revised 1 March 2016; Accepted 31 March 2016 Academic Editor: Francisco Ayuga Copyright © 2016 Kang Hou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Analysis of human living environmental quality of Shenyang-Dalian urban agglomerations has important theoretical and practical significance in rapid development region. A lot of investigations have been carried for Shenyang-Dalian urban agglomerations, including 38 counties. Based on the carrying capacity of resources, natural and socioeconomic environmental factors and regional changes of human living environmental evaluation are analyzed with the application of geographic information systems (GIS) software. By using principal component analysis (PCA) model and natural breaks classification (NBC) method, the evaluation results are divided into five categories. The results show thatuman theh living environmental evaluation (HLEE) indexes of Dalian, Shenyang, and Liaoyang are higher than other counties. Among these counties, the human living environmental evaluation (HLEE) indexes of coastal counties are significantly higher than inland counties. The range of the human living environmental evaluation index in most of the study area is at III, IV,and V levels, accounting for 80.01%. -
Improving Biomedical Named Entity Recognition with Label Re-Correction and Knowledge Distillation
Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge Distillation Huiwei Zhou ( [email protected] ) Dalian University of Technology Zhe Liu Dalian University of Technology Chengkun Lang Dalian University of Technology Yingyu Lin Dalian University of Technology Junjie Hou Dalian University of Technology Research Article Keywords: Biomedical named entity recognition, Knowledge distillation, Label re-correction Posted Date: December 15th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-125685/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge Distillation Huiwei Zhou1,*, Zhe liu1, Chengkun Lang1, Yingyu Lin2, Junjie Hou3 1School of Computer Science and Technology, Dalian University of Technology, Address Chuangxinyuan Building, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, China. 2School of foreign languages, Dalian University of Technology, Address Chuangxinyuan Building, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, China. 3School of Business, Panjin Campus of Dalian University of Technology, No.2 Dagong Road, Liaodongwan New District, PanJin, Liaoning, 124221, China. *To whom correspondence should be addressed. Email: [email protected], [email protected], [email protected], [email protected], [email protected] 1 Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge -
中国(家きんの加熱処理肉等) 2016/9/21 更新 No. NAME ADDRESS 1100/03015 BEIJING DAFA CHIA TAI CO.,LTD YANGZHEN D
中国(家きんの加熱処理肉等) 2016/9/21 更新 No. NAME ADDRESS YANGZHEN DUZHUANG, SHUNYI DISTRICT, 1100/03015 BEIJING DAFA CHIA TAI CO.,LTD BEIJING CITY, CHINA BEIJING DAFA CHIA TAI CO.,LTD. FURTHER YANGZHEN DUZHUANG, SHUNYI DISTRICT, 1100/03025 PROCESSING PLANT BEIJING CITY, CHINA XIAOTANGSHAN TOWN, CHANGPING DISTRICT, 1100/03039 BEIJING JIAYI FOOD JOINT FACTORY BEIJING BEIJING ER SHANG MOQI ZHONGHONG NO.233, NANGAO VILLAGE CUIGEZHUANG 1100/15006 FOODS CO.,LTD. TOWNSHIP CHAOYANG DISTRICT BEIJING, CHINA TIANJIN DONGTIAN FOODS PROCESSING NO.8 XINWANG ROAD, SHUANGQIAOHE TOWN, 1200/03009 CO.,LTD. JINNAN DISTRICT, TIANJIN, CHINA TIANJIN TEDA TIANQUAN QUICK FROZEN 1200/29002 NO.11, JINGU ROAD, TANGGU DISTRICT, TIANJIN FOODSTUFFS CO.,LTD. TIANJIN GREATWALL QUICK FROZEN FOOD 1200/29009 LIUDAOKOU, WUQING COUNTY, TIANJIN CO.,LTD. 1200/29012 TIANJIN SHIYOU FOODSTUFFS CO.,LTD. SICUNDIAN, WUQING COUNTY, TIANJIN NO.319 SHENGLINAN STREET, SHIJIAZHUANG 1300/03036 SHIJIAZHUANG DEYUAN FOOD CO., LTD. CITY, HEBEI NO.171, MUSLIM BUSINESS TRADE STREET, 1300/03105 HUSI FOOD COMPANY LTD. XIADIAN TOWN, DACHANG HUI AUTONOMY COUNTY, HEBEI PROVINCE, CHINA QINHUANGDAO CHIA TAI CO.,LTD. FOOD NO.30, GUANCHENGDONG ROAD,SHANHAIGUAN 1300/03133 PLANT (THE SECOND COOKED FOOD DISTRICT, QINHUANGDAO, HEBEI PLANT) KANGBAO BAILU MEAT CO., LTD. THE NO.134,GONGYE STREET, KANGBAO COUNTY, 1300/03152 SECOND FACTORY HEBEI LUANPING HUADU JIAYI FOOD JOINT NO.9 HEBIN ROAD, LUANPING TOWN, LUANPING 1300/03158 FACTORY COUNTY, CHENGDE CITY, HEBEI PROVINCE AIRPLANE SOUTH ROAD, ZHENGDING, 1300/08040 SHIJIAZHUANG HUIKANG FOOD CO.,LTD. SHIJIAZHUANG, HEBEI HEBEI FOODSTUFFS I/E (GROUP) 1300/29002 HENGSHUI TIANYANG COLD STORAGE NO.8, JINGDA ROAD, HENGSHUI, HEBEI PLANT SHIJIAZHUANG ECONOMICS & TECHNICAL 1300/29020 DEVELOPMENT ZONE GREATWALL NO.1, YANGZI ROAD, SHIJIAZHUANG ETDZ, HEBEI FOODSTUFFS CO., LTD. -
Corporate Information
CORPORATE INFORMATION Registered office Cricket Square Hutchins Drive P.O. Box 2681 Grand Cayman KY1-1111 Cayman Islands Corporate headquarters 9th Floor, Zhongnan Building 18 Zhonghua West Road Ganjingzi District Dalian City Liaoning Province PRC Place of business in Hong Kong Room 3504–12 registered under Part XI of the 35th Floor, Sun Hung Kai Centre Hong Kong Companies Ordinance 30 Harbour Road Wanchai Hong Kong Company secretary Mr. Lai Hau Yin, CPA, CPA(Aust) Authorized representatives Mr. Huang Yi Flat A, 1/F, House 3 No. 1 Plantation Road The Peak Hong Kong Mr. Lai Hau Yin Room D, 32/F Tower 2, Greenfields 1FungKamStreet Yuen Long New Territories Hong Kong MembersoftheAuditCommittee Mr. Ng Yuk Keung (Chairman) Mr. Shen Jinjun Mr. Leng Xuesong Members of the Remuneration Mr. Shigeno Tomihei (Chairman) Committee Mr. Li Guoqiang Mr. Shen Jinjun Members of the Nomination Committee Mr. Shen Jinjun (Chairman) Mr. Huang Yi Mr. Shigeno Tomihei – 59 – CORPORATE INFORMATION Members of the Compliance Committee Mr. Du Qingshan (Chairman) Mr. Huang Yi Mr. Li Guoqiang Principal share registrar and transfer Butterfield Fulcrum Group (Cayman) Limited office Butterfield House 68 Fort Street P.O. Box 609 Grand Cayman KY1-1107 Cayman Islands Hong Kong Share Registrar Computershare Hong Kong Investor Services Limited Shops 1712–1716 17th Floor, Hopewell Centre 183 Queen’sRoadEast Wanchai Hong Kong Compliance adviser Taifook Capital Limited 25th Floor, New World Tower 16–18 Queen’sRoadCentral Hong Kong Principal bankers in China Bank of China Limited — Liaoning Branch No. 9 Zhongshan Square Zhongshan District, Dalian City Liaoning Province PRC Industrial and Commercial Bank of China Limited — Dalian Sub-branch No. -
RCI Needs Assessment, Development Strategy, and Implementation Action Plan for Liaoning Province
ADB Project Document TA–1234: Strategy for Liaoning North Yellow Sea Regional Cooperation and Development RCI Needs Assessment, Development Strategy, and Implementation Action Plan for Liaoning Province February L2MN This report was prepared by David Roland-Holst, under the direction of Ying Qian and Philip Chang. Primary contributors to the report were Jean Francois Gautrin, LI Shantong, WANG Weiguang, and YANG Song. We are grateful to Wang Jin and Zhang Bingnan for implementation support. Special thanks to Edith Joan Nacpil and Zhuang Jian, for comments and insights. Dahlia Peterson, Wang Shan, Wang Zhifeng provided indispensable research assistance. Asian Development Bank 4 ADB Avenue, Mandaluyong City MPP2 Metro Manila, Philippines www.adb.org © L2MP by Asian Development Bank April L2MP ISSN L3M3-4P3U (Print), L3M3-4PXP (e-ISSN) Publication Stock No. WPSXXXXXX-X The views expressed in this paper are those of the authors and do not necessarily reflect the views and policies of the Asian Development Bank (ADB) or its Board of Governors or the governments they represent. ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for any consequence of their use. By making any designation of or reference to a particular territory or geographic area, or by using the term “country” in this document, ADB does not intend to make any judgments as to the legal or other status of any territory or area. Note: In this publication, the symbol “$” refers to US dollars. Printed on recycled paper 2 CONTENTS Executive Summary ......................................................................................................... 10 I. Introduction ............................................................................................................... 1 II. Baseline Assessment .................................................................................................. 3 A. -
Advancing to the Next Level
Contents AOXIN Q & M DENTAL GROUP LIMITED ADVANCING TO THE NEXT LEVEL 1 SUSTAINABILITY REPORT 2018 Contents I. Board Statement 3 II. About this Report 5 III. Organisational Profile 6 IV. Governance and Sustainability Approach 17 V. Stakeholder Engagement 20 VI. Material Topics 21 Economic Performance 22 Anti-Corruption 23 Energy 24 Training and Education 26 Occupational Health and Safety 31 Local Communities 33 VII. SGX Five Primary Components Index 35 VIII. Global Reporting Initiative (GRI) Content Index 36 This Sustainability Report has been reviewed by the Company’s Sponsor, SAC Capital Private Limited (the “Sponsor”). This Sustainability Report has not been examined or approved by the Singapore Exchange Securities Trading Limited (the “Exchange”) and the Exchange assumes no responsibility for the contents of this Sustainability Report, including the correctness of any of the statements or opinions made or reports contained in this Sustainability Report. The contact person for the Sponsor is Mr. Foo Siang Sheng (Telephone: (65) 6232 3210) at 1 Robinson Road, #21-00 AIA Tower, Singapore 048542. 2 Board Statement Non-Executive Chairman’s Welcome Message Dear Stakeholders, As one of the leading providers of dental priority. By aligning with global and services, equipment and supplies in the national sustainability standards, Aoxin Q Liaoning Province, Northern People’s & M Dental Group Limited, (the Republic of China (“PRC”), we believe that “Company” or “Aoxin Q & M”, and our business is more than just a together with its subsidiaries, the “Group”) commercial enterprise and that it needs is poised to capitalise on our strong to continually evolve, adapt, as well as sustainability leadership, and prevailing integrate sustainability across our entire opportunities from sustainable organisation.