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Liu J, Du X, Yin P, Kan H, Zhou M, Chen R. Cause-specific mortality and burden attributable to temperature variability in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165267. [PMID: 37406687 DOI: 10.1016/j.scitotenv.2023.165267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/23/2023] [Accepted: 06/30/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Few large-scale, nationwide studies have assessed cause-specific mortality risks and burdens associated with temperature variability (TV). OBJECTIVE To estimate associations between TV and cause-specific mortality and quantify the mortality burden in China. METHODS Data on daily total and cause-specific mortality in 272 Chinese cities between 2013 and 2015 were recorded. TVs were computed as the standard deviations of daily minimum and maximum temperatures over a duration of 2 to 7 days. The time-series quasi-Poisson regression model with adjustment of the cumulative effects of daily mean temperature over the same duration was applied to evaluate the city-specific associations of TV and mortality. Then, we pooled the effect estimates using a random-effects meta-analysis and calculated the mortality burdens. RESULTS Overall, TV showed significant and positive associations with total and cause-specific mortality. The TV-mortality associations were generally stronger when using longer durations. A 1 °C increase in TV at 0-7 days (TV0-7) was associated with a 0.79 % [95 % confidence interval (CI): 0.55 %, 0.96 %] increase in total mortality. Mortality fractions attributable to TV0-7 were 4.37 % for total causes, 4.75 % for overall cardiovascular disease, 4.37 % for coronary heart disease, 5.05 % for stroke, 8.28 % for ischaemic stroke, 1.08 % for haemorrhagic stroke, 6.93 % for respiratory disease, and 6.81 % for COPD, respectively. The mortality risk and burden were generally higher in the temperate monsoon zone, females, and elders. CONCLUSION This nationwide study indicated that TV was an independent risk factor of mortality, and could result in significant burden for main cardiorespiratory diseases.
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Affiliation(s)
- Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
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Zhao H, Souilljee M, Pavlidis P, Alachiotis N. Genome-wide scans for selective sweeps using convolutional neural networks. Bioinformatics 2023; 39:i194-i203. [PMID: 37387128 DOI: 10.1093/bioinformatics/btad265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2023] Open
Abstract
MOTIVATION Recent methods for selective sweep detection cast the problem as a classification task and use summary statistics as features to capture region characteristics that are indicative of a selective sweep, thereby being sensitive to confounding factors. Furthermore, they are not designed to perform whole-genome scans or to estimate the extent of the genomic region that was affected by positive selection; both are required for identifying candidate genes and the time and strength of selection. RESULTS We present ASDEC (https://github.com/pephco/ASDEC), a neural-network-based framework that can scan whole genomes for selective sweeps. ASDEC achieves similar classification performance to other convolutional neural network-based classifiers that rely on summary statistics, but it is trained 10× faster and classifies genomic regions 5× faster by inferring region characteristics from the raw sequence data directly. Deploying ASDEC for genomic scans achieved up to 15.2× higher sensitivity, 19.4× higher success rates, and 4× higher detection accuracy than state-of-the-art methods. We used ASDEC to scan human chromosome 1 of the Yoruba population (1000Genomes project), identifying nine known candidate genes.
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Affiliation(s)
- Hanqing Zhao
- Faculty of EEMCS, University of Twente, Enschede, The Netherlands
| | | | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, Greece
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Huang XT, Wang J, Wang Z, Wang L, Cheng C. Experimental study on the influence of virtual tourism spatial situation on the tourists' temperature comfort in the context of metaverse. Front Psychol 2023; 13:1062876. [PMID: 36687952 PMCID: PMC9846819 DOI: 10.3389/fpsyg.2022.1062876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/30/2022] [Indexed: 01/06/2023] Open
Abstract
The Metaverse is a new application of the internet and social form which integrates a myriad of new technologies. It can not only create a parallel space that is closely connected to the real world while highly independent, but also bring the immersive experience of virtual scenarios without delay. The virtual tourism space situations that integrate realistic visual, audio, and temperature sensations can restore the real tourism environment to the greatest extent, and improve tourists' perception and satisfaction with the experience. The purpose of this experimental lab study is to examine the effects of the virtual tourism audio-visual conditions and environmental temperature on tourists' thermal sensation and temperature comfort. VR equipment and microclimate simulation technology was applied in a 3 × 2 × 2 experimental design (n = 180), simulating the virtual tourism scenarios. Electrocardiogram devices were also employed to assess participants' physiological indicators. Study results suggest that: (1) Virtual tourism spatial situations (environmental temperature and audio-visual conditions) significantly affect participants' thermal sensation and part of the physiological indicators; (2) Virtual tourism spatial situations (environmental temperature and audio-visual conditions) significantly affect participants' temperature comfort; and (3) Physiological responses (indicators) mediate the effect from tourism spatial situations to temperature comfort. The study mainly contributes to the literature about virtual tourism experience and spatial situations under the concept of the Metaverse, as well as provides theoretical and managerial implications for the development of "immersive" virtual tourism scenarios.
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Affiliation(s)
- Xiao-Ting Huang
- Department of Culture and Tourism Management, School of Management, Shandong University, Jinan, Shandong, China
| | - Jiahui Wang
- Isenberg School of Management, University of Massachusetts, Amherst, MA, United States
| | - Zhihui Wang
- Department of Culture and Tourism Management, School of Management, Shandong University, Jinan, Shandong, China
| | - Linqiang Wang
- Department of Culture and Tourism Management, School of Management, Shandong University, Jinan, Shandong, China,*Correspondence: Linqiang Wang, ✉
| | - Chenfei Cheng
- Department of Culture and Tourism Management, School of Management, Shandong University, Jinan, Shandong, China
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Shen Y, Zhang X, Chen C, Lin Q, Li X, Qu W, Liu X, Zhao L, Chang S. The relationship between ambient temperature and acute respiratory and cardiovascular diseases in Shenyang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:20058-20071. [PMID: 33405157 PMCID: PMC7786187 DOI: 10.1007/s11356-020-11934-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 12/01/2020] [Indexed: 05/16/2023]
Abstract
The purpose of this study was to analyze the acute effect of ambient temperature on hospitalization due to acute exacerbation of chronic obstructive pulmonary disease (AECOPD), stroke, and myocardial infarction (MI) in Shenyang, China. We used the distributed delayed nonlinear model to evaluate the impact of ambient temperature on respiratory and cardiovascular diseases. The study population was divided into four groups: < 65 group and ≥ 65 age groups, female and male groups. The < 65 age group of AECOPD patients was more likely to be affected by high ambient temperature, while the ≥ 65 age group of AECOPD patients was more sensitive to low ambient temperature. The hospitalization risk of MI admission increased in the ≥ 65 age group at 1-8 days delay under low ambient temperature conditions.
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Affiliation(s)
- Yang Shen
- Division of Biomedical Engineering, China Medical University, Shenyang, 110122, Liaoning, China
| | - Xudong Zhang
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, No. 36 Sanhao Road, Heping District, Shenyang, 110000, Liaoning, China
| | - Cai Chen
- Shandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, 250000, Shandong, China
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, Shandong, China
| | - Qianqian Lin
- College of Letters and Science, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Xiyuan Li
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, Shandong, China
| | - Wenxiu Qu
- Parexel China Co., Ltd. Shenyang Branch, Shenyang, 110000, China
| | - Xuejian Liu
- The First General Internal Medicine, Shengjing Hospital, China Medical University, No.16 Puhe Road, Shenbei New District, Shenyang, 110000, Liaoning, China
| | - Li Zhao
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, No. 36 Sanhao Road, Heping District, Shenyang, 110000, Liaoning, China.
| | - Shijie Chang
- Division of Biomedical Engineering, China Medical University, Shenyang, 110122, Liaoning, China.
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Ji LD, Xu ZF, Tang NLS, Xu J. Natural Selection of ATP2B1 Underlies Susceptibility to Essential Hypertension. Front Genet 2021; 12:628516. [PMID: 33777100 PMCID: PMC7990779 DOI: 10.3389/fgene.2021.628516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 02/17/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Lin-Dan Ji
- Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.,Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Zhi-Feng Xu
- Department of Cardiology, Ningbo No. 7 Hospital, Ningbo, China
| | - Nelson L S Tang
- Department of Chemical Pathology, Faculty of Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.,KIZ-CUHK Joint Laboratory of Bio-resources and Molecular Research of Common Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - Jin Xu
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China.,Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
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