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1.
Photonics and Electromagnetics Research Symposium (PIERS) ; : 1961-1966, 2021.
Article in English | English Web of Science | ID: covidwho-1883139

ABSTRACT

Wuhai City is an important coal resource area in Inner Mongolia Autonomous Region. High-intensity underground mining will cause large land subsidence. Differential SAR Interferometry (D-InSAR) is a popular monitoring method of land subsidence in recent years. This paper uses two-pass D-InSAR method to monitor land subsidence in Wuhai City. The experimental data selects 7 scenes of C-band Sentinel-1A images from September 2019 to March 2020. The final deformation results are shown in the Figure 3. The two-pass D-InSAR processing flow includes data focusing, baseline estimation, interferogram generation, adaptive filtering and coherence generation, phase unwrapping, orbit refining and re-flattening, deformation map generation. The result shows: During the monitoring time, the most serious subsidence areas are concentrated near the mine clusters on the east and west sides of Wuhai City. Maximum settlement value up to 242 mm. The subsidence values in heavy industrial and residential areas are slightly smaller compared to the former. Settlement values are generally ranged from 56 to 87 mm. The settlement is lightest in the southern part of Hainan district. It indicates that mining can greatly accelerate surface subsidence. Meanwhile, human activities and groundwater extraction can increase subsidence. From the perspective of time, Settlement in Wuhai City is more pronounced during September to December 2019 but it decreases sharply in January 2020.This should be related to the outbreak of COVID-19. The subsidence value increased slightly from February to March 2020, which showed that the epidemic had been preliminarily controlled and people began to return to work.

2.
10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications, MOBILWARE 2021 ; : 63-72, 2022.
Article in English | Scopus | ID: covidwho-1877736

ABSTRACT

The distribution and change of travel intensity reflect the pattern of the city and the activity of trip population. It is important to understand the pattern of the city and the activity of trip flow for urban planning and government decision-making. This paper constructs a Bayesian hierarchical spatiotemporal model with three effects: space, time, and space-time, which uses the travel intensity data during the outbreak of the novel coronavirus (COVID-19) in Hubei province (2020.01.01–2020.05.02). With the help of Markoff’s Monte Carlo method, this paper analyzes the distribution and fluctuation of traffic flow in each city of Hubei province. The results show that the space-time model does not deteriorate compared with the main space model. The study found that nearly 41% of cities with a spatial effect higher than 1 were active during the epidemic in Hubei province and the time effect of travel intensity in Hubei province dropped rapidly from 2 to 0.5 after cities in Hubei province issued measures to close the cities one after another, which lasted nearly a month. Strict social distance intervention is one of the important reasons for Hubei province to control the epidemic effectively in a few months. At the same time, in the stability analysis of the city, we found that Wuhan belongs to an unstable area, which is unfavorable to the control of COVID-19. The research results provide a certain perspective for COVID-19 prevention and control: when there are confirmed patients in the province, we believe that the government should first pay attention to those cities with high spatial effect and instability. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

3.
Zhonghua Yu Fang Yi Xue Za Zhi ; 56(5): 659-667, 2022 May 06.
Article in Chinese | MEDLINE | ID: covidwho-1875840

ABSTRACT

Coronavirus disease 19 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has spread all over the world. Streptococcus pneumoniae as a common pathogen of community-acquired pneumonia shares similar high-risk susceptible populations with COVID-19. Streptococcus pneumoniae co-infection is a key risk factor for severe COVID-19 and death. Pneumococcal vaccination has a beneficial impact on reducing the incidence and mortality of COVID-19. The vaccination rate of streptococcus pneumoniae is still low in China. Streptococcus pneumoniae vaccination may be one of effective strategies in the management of COVID-19 for high-risk population such as the elderly and those who have underlying chronic diseases.


Subject(s)
COVID-19 , Coinfection , Pneumococcal Infections , Aged , Humans , Pneumococcal Infections/prevention & control , Streptococcus pneumoniae , Vaccination
4.
Chinese Journal of Environmental Engineering ; 16(4):1068-1073, 2022.
Article in Chinese | Scopus | ID: covidwho-1847721

ABSTRACT

Three technical specifications for centralized treatment engineering of medical waste, which were issued in 2006, have played significant roles in guiding and standardizing the construction and operation of centralized treatment engineering of medical waste in over ten years period. However, with development of industry and upgrading of technologies, especially after the coronavirus disease 2019 (COVID-19) epidemic, the medical waste disposal industry faces new opportunities and challenges, and the construction and operation of the centralized treatment engineering of medical waste needs some adjustments. Under such circumstances, revised three technical specifications were issued and implemented in April 2021. Based on the review of the implementation situations of the technical specifications and the development status of the industry, this study analyzed the necessity of the revision of the technical specifications, and explained the revision ideas of the three technical specifications in terms of construction scale, disinfection treatment technical requirements, pollution control technical requirements and disinfection effect detection frequency. Moreover, to promote the implementation of the revised specifications, suggestions were put forward on clarifying the application scenarios, the technical positioning and the legal effect of the specifications. This study can provide a reference for the construction and operation of medical waste disinfection centralized treatment project in the new era. © 2022, Science Press. All right reserved.

5.
2022 Augmented Humans Conference, AHs 2022 ; : 243-253, 2022.
Article in English | Scopus | ID: covidwho-1832601

ABSTRACT

Wearing masks and social distancing have become the norm during the COVID-19 pandemic. However, these are increasingly seen as a source of frustration in face-to-face communications. While efforts have been made to overcome these impediments to communication, they typically focus on recovering lost communication quality. Herein, we envision a future where everyone augments their vision using face masks with Augmented Reality capabilities, such that people can conduct safe and expressive face-to-face communication in public. To speculate on this vision, we developed an AR mask prototype which can overlay dynamic virtual "masks"on other users. The virtual mask is dynamic in that it accelerates towards any observer who approaches the wearer. Using this system, we conducted an explorative study to further our speculations on the impact of ubiquitous AR technologies. © 2022 ACM.

6.
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022 ; : 667-670, 2022.
Article in English | Scopus | ID: covidwho-1831760

ABSTRACT

Several problems were found in the attempt and practice of bilingual teaching in Food safety, mainly including inconsistent foreign language quality of students, messy textbooks and teaching content, inadequate bilingual ability of teachers and lack of supervision of English auxiliary teachers, lack of online network construction, and single teaching methods and other issues. Through summing up experience, it is found that a series of methods, such as combining social hot spots and conducting scientific research hot spots introduction teaching, rationally using English textbooks and correspondingly constructing teaching content, can solve the above problems and promote English teaching of Food safety. During pandemic (COVID-19/Corona Virus Disease 2019) period, we boldly carried out bilingual and online teaching attempts, this time also carried out a summary, hoping to provide some guidance for the teaching reform of Food safety © 2022 IEEE.

7.
2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021 ; : 292-297, 2021.
Article in English | Scopus | ID: covidwho-1831727

ABSTRACT

COVID-19 is breaking out and spreading globally, posing a severe threat to public health and economies worldwide due to its highly transmissible and pathogenic nature. Early, accurate and rapid diagnosis of COVID-19 can effectively stop the spread of the COVID-19 virus. Automatic diagnostic models based on deep learning can detect COVID-19 quickly and accurately. This paper uses a three-dimensional Convolutional Neural Network (3D CNN) to build a COVID-19 diagnostic prediction model for COVID-19 detection. All 192 sets of chest Computed Tomography(CT) data collected are used for this study, including 96 sets of confirmed COVID-19 patients and 96 sets of CT scans of normal human lungs. 5-fold cross-validation is used to train and validate the model. 154 data sets are used to train the model, and 38 sets are used for testing. All experimental data are segmented using a pre-trained SP-V-Net to obtain 3D lung masks fed into 3D CNN for training and validation of the prediction model. In addition, to verify the accuracy of the model predictions and provide interpretability for medical diagnosis, we visualize the experimental results using Class Activation Maps(CAM) to localize the predicted disease regions. The results from several experiments show that the accuracy of our prediction model is 0.911, the Area Under Curve (AUC) 0.976, for no-COVID-19(Precision, 0.902, Recall 0.911, F1-Score 0.900), COVID-19 (Precision, 0.932, Recall 0.911, F1-Score 0.902). The experimental results show that our established diagnostic model can help physicians make a rapid and accurate diagnosis of COVID-19 in response to the spread of COVID-19. © 2021 IEEE.

8.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334813

ABSTRACT

Cryptococcal meningoencephalitis is an emerging infection shifted from primarily ART- naive to being ART-experienced HIV/AIDS patients, COVID-19 patients and also in immune competent individuals, mainly caused by the human opportunistic pathogen Cryptococcus neoformans, yet mechanisms of the brain or CNS dissemination remain to elucidate, which is the deadest process for the disease. Meanwhile, illustrations of clinically relevant responses in cryptococcosis were limited, as the low availabilities of clinical samples. In this study, macaque and mouse infection models were employed and miRNA-mRNA transcriptomes were performed and combined, which revealed cytoskeleton, a major feather in HIV/AIDS patients, was a centric pathway regulated in both two infection models. Notably, assays of clinical immune cells confirmed an enhanced “Trojan Horse” in HIV/AIDS patients, which can be shut down by cytoskeleton inhibitors. Furthermore, we identified a novel enhancer for macrophage “Trojan Horse”, myocilin, and an enhanced fungal burden was achieved in brains of MYOC transgenic mice. Taking together, this study reveals fundamental roles of cytoskeleton and MYOC in blocking fungal CNS dissemination, which not only helps to understand the high prevalence of cryptococcal meningitis in HIV/AIDS, but also facilitates the development of novel drugs for therapies of meningoencephalitis caused by C. neoformans and other pathogenic microorganisms.

9.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334805

ABSTRACT

Omicron sub-lineage BA.2 has rapidly surged globally, accounting for over 60% of recent SARS-CoV-2 infections. Newly acquired RBD mutations and high transmission advantage over BA.1 urge the investigation of BA.2's immune evasion capability. Here, we show that BA.2 causes strong neutralization resistance, comparable to BA.1, in vaccinated individuals' plasma. However, BA.2 displays more severe antibody evasion in BA.1 convalescents, and most prominently, in vaccinated SARS convalescents' plasma, suggesting a substantial antigenicity difference between BA.2 and BA.1. To specify, we determined the escaping mutation profiles1,2 of 714 SARS-CoV-2 RBD neutralizing antibodies, including 241 broad sarbecovirus neutralizing antibodies isolated from SARS convalescents, and measured their neutralization efficacy against BA.1, BA.1.1, BA.2. Importantly, BA.2 specifically induces large-scale escape of BA.1/BA.1.1effective broad sarbecovirus neutralizing antibodies via novel mutations T376A, D405N, and R408S. These sites were highly conserved across sarbecoviruses, suggesting that Omicron BA.2 arose from immune pressure selection instead of zoonotic spillover. Moreover, BA.2 reduces the efficacy of S309 (Sotrovimab)3,4 and broad sarbecovirus neutralizing antibodies targeting the similar epitope region, including BD55-5840. Structural comparisons of BD55-5840 in complexes with BA.1 and BA.2 spike suggest that BA.2 could hinder antibody binding through S371F-induced N343-glycan displacement. Intriguingly, the absence of G446S mutation in BA.2 enabled a proportion of 440-449 linear epitope targeting antibodies to retain neutralizing efficacy, including COV2-2130 (Cilgavimab)5. Together, we showed that BA.2 exhibits distinct antigenicity compared to BA.1 and provided a comprehensive profile of SARS-CoV-2 antibody escaping mutations. Our study offers critical insights into the humoral immune evading mechanism of current and future variants.

10.
Embase; 2021.
Preprint in English | EMBASE | ID: ppcovidwho-334620

ABSTRACT

The spike (S), a homotrimer glycoprotein, is the most important antigen target in the research and development of SARS-CoV-2 vaccine. There is no doubt that fully simulating the advanced structure of this homotrimer in the subunit vaccine development strategy is the most likely way to improve the immune protective effect of the vaccine. In this study, the preparation strategies of S protein receptor-binding domain (RBD) trimer, S1 region trimer, and ectodomain (ECD) trimer nanoparticles were designed based on ferritin nanoparticle self-assembly technology. The Bombyx mori baculovirus expression system was used to prepare these three nanoparticle vaccines with high expression levels in the silkworm. The immune results of mice show that the nanoparticle vaccine prepared by this strategy can not only induce an immune response by subcutaneous administration but also effective by oral administration. Given the stability of these ferritin-based nanoparticles vaccine, easy-to-use and low-cost oral immunization strategy can make up for the vaccination blind areas caused by the shortage of ultralow-temperature equipment and medical resources in underdeveloped areas. And the oral vaccine is also a very potential candidate to cut off the spread of SARS-CoV-2 in domestic and farmed animals, especially in stray and wild animals.

11.
Clinical Cancer Research ; 27(6 SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1816890

ABSTRACT

Objectives Sensitive and high throughput molecular testing availability is essential during the COVID-19 pandemic. The vast majority of the SARS-CoV-2 molecular assays use nasopharyngeal or oropharyngeal swab specimens collected from suspected individuals. However, collecting these specimens has apparent drawbacks, including discomfort to patients and exposure risk to healthcare workers. Methods We developed and validated of QuantiVirus™ SARS-CoV-2 multiplex test using saliva as the testing specimens with pooling. Results The analytical sensitivity (LOD) was confirmed to be 100-200 copies/mL. For clinical evaluation, 85 known positive and 90 knowns negative NPS specimens were showed a positive predictive agreement of 100% and a negative predictive agreement of 98.9%. Twenty paired NPS and saliva samples were tested and showed overall 80% concordance rate without significant difference between NPS and saliva specimens by Wilcoxon signed-rank test (p=0.13). On a large scale of saliva-based population screening, the positive test rate was 1.79% among 389 saliva specimens. Furthermore, saliva sample pooling up to 6 samples for SARS-CoV-2 detection is feasible with sensitivity of 94.8% and specificity of 100%. Conclusions These results demonstrated that the clinical performance of saliva-based testing is comparable to that of NPS-based testing, and that pooling of saliva specimens for SARS-CoV-2 detection is feasible.

13.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333758

ABSTRACT

Repurposing drugs as treatments for COVID-19 has drawn much attention. A common strategy has been to screen for established drugs, typically developed for other indications, that are antiviral in cells or organisms. Intriguingly, most of the drugs that have emerged from these campaigns, though diverse in structure, share a common physical property: cationic amphiphilicity. Provoked by the similarity of these repurposed drugs to those inducing phospholipidosis, a well-known drug side effect, we investigated phospholipidosis as a mechanism for antiviral activity. We tested 23 cationic amphiphilic drugs-including those from phenotypic screens and others that we ourselves had found-for induction of phospholipidosis in cell culture. We found that most of the repurposed drugs, which included hydroxychloroquine, azithromycin, amiodarone, and four others that have already progressed to clinical trials, induced phospholipidosis in the same concentration range as their antiviral activity;indeed, there was a strong monotonic correlation between antiviral efficacy and the magnitude of the phospholipidosis. Conversely, drugs active against the same targets that did not induce phospholipidosis were not antiviral. Phospholipidosis depends on the gross physical properties of drugs, and does not reflect specific target-based activities, rather it may be considered a confound in early drug discovery. Understanding its role in infection, and detecting its effects rapidly, will allow the community to better distinguish between drugs and lead compounds that more directly impact COVID-19 from the large proportion of molecules that manifest this confounding effect, saving much time, effort and cost. ONE SENTENCE SUMMARY: Drug-induced phospholipidosis is a single mechanism that may explain the in vitro efficacy of a wide-variety of therapeutics repurposed for COVID-19.

14.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation ; 41(4):S399-S399, 2022.
Article in English | EuropePMC | ID: covidwho-1781950

ABSTRACT

Introduction Solid organ transplant recipients (SOTR) have lower SARS-CoV-2 spike seroconversion than healthy subjects (HS) following vaccination. A breakthrough (BT) infection is defined as the detection of SARS-CoV-2 in a respiratory specimen after a person is ≥14 days after completing the recommended doses for a vaccine. We report a case of SARS-CoV-2 BT infection in a SOTR who was immunologically followed longitudinally following vaccination. Case Report A 44-year-old man with a history of non-ischemic cardiomyopathy (NICM) and end stage renal disease had undergone heart and kidney transplantation in December 2017 with thymoglobulin induction. His NICM was secondary to radiation for non-Hodgkin's lymphoma treated with autologous bone marrow transplant in 2001. Maintenance immunosuppression consisted of sirolimus 2mg daily, tacrolimus 2mg twice daily (BID), and prednisone 5mg daily at his 1st Moderna vaccine in April 2021. In anticipation of surgery, sirolimus was stopped and mycophenolate mofetil (MMF) 500mg BID was started. He was on this regimen at the time of his 2nd Moderna vaccine. Sirolimus was restarted in July and increased to 1mg daily while continuing MMF 500mg BID, tacrolimus, and prednisone. At the end of July, the patient was exposed to several family members with COVID-19. He tested positive 89 days after his 2nd Moderna vaccine (cycle threshold of 33.5). He was asymptomatic at the time, but later developed fever, myalgias, headache, and loss of taste and smell and was treated with casirivimab and imdevimab monoclonal antibody (mAb) infusion. We assessed the patient's immunologic response 14 days post 2nd Moderna vaccination and at BT infection prior to mAb infusion and compared this to HS. The patient developed SARS-CoV-2 spike-specific CD4+ T cells at 14 days post 2nd mRNA vaccine at a frequency below the average frequency for HS. At BT infection, the patient did not have SARS-CoV-2 spike-specific CD4+ T cells, partly due to virus induced lymphopenia. The patient did not develop spike-specific CD8+ T cells, spike IgG or neutralizing antibodies at 14 days post 2nd Moderna vaccination or at BT infection. Summary The patient developed SARS-CoV-2-specific CD4+ T cells following vaccination. His uneventful recovery may be secondary to these SARS-CoV-2 specific CD4+ T cells post vaccination as well as receiving mAb therapy 8 days post infection.

15.
Discovery Medicine ; 31(164):121-127, 2021.
Article in English | Web of Science | ID: covidwho-1766877

ABSTRACT

Background. Few studies reported the risk factors of fatal outcome of hospitalized patients with coronavirus disease 2019 (COVID-19). We aimed to identify the independent risk factors associated with fatal outcome of hospitalized COVID-19 patients. Methods. The clinical data of 109 consecutive COVID-19 patients including 40 (36.7%) common cases and 69 (63.3%) severe cases were included and analyzed. Results: Multivariate regression analysis indicated that platelets (PLT, OR, 0.988;95% CI, 0.978-0.998;P=0.017) and C-reactive protein (CRP) (OR, 1.047;95% CI, 1.026-1.068;P<0.001) levels were the independent risk factors of fatal outcome in COVID-19 patients. The optimal cut-off value of PLT counts for predicting fatal outcome was 161x109/L with the area under receiver operating characteristic curve (AUROC) of 0.824 (95% CI, 0.739-0.890). The optimal cut-off value of CRP for the prediction of fatal outcome was 46.2 mg/L with the AUROC of 0.954 (95% CI, 0.896-0.985). The CRP levels had higher predictive values for fatal outcome than PLT (P=0.016). The cumulative survival rate was significantly higher in patients with PLT>161x10(9)/L compared with patients with PLT <= 161x10(9)/L (89.4% vs. 12.5%, log-rank test chi(2)=72.17;P<0.001). Survival rate of COVID-19 patients was prominently higher in CRP <= 46.2 mg/L patients compared with patients with CRP>46.2 mg/L (95.9% vs. 22.9%, log-rank test chi(2)=77.85;P<0.001). Conclusions. PLT counts and CRP levels could predict fatal outcome of hospitalized COVID-19 patients with relatively high accuracy.

16.
BMJ Open ; 12(3): e059067, 2022 03 25.
Article in English | MEDLINE | ID: covidwho-1765126

ABSTRACT

INTRODUCTION: COVID-19 is a public health emergency of international concern, which is characterised by rapid and widespread transmission, high mortality and complications. Several studies have shown the benefits of tai chi and qigong for recovery after COVID-19; however, no meta-analysis has been reported. Therefore, the purpose of this study is to evaluate the efficacy and safety of tai chi and/or qigong on rehabilitation after COVID-19 through a systematic review and meta-analysis to provide a reference and basis for clinical application. METHODS AND ANALYSIS: This study will use the Cochrane Library, PubMed, Web of Science, Embase, China Knowledge Network, China Biomedical Literature Database, Chinese Scientific Journal Database and Wanfang Database. The time period is from the inception of the database to November 2021, with no language restrictions. Searches will be conducted using the subject terms "Taichi","Qigong" and "COVID-19" plus free-text words. Articles will be screened and collected by two reviewers independently. Included studies will be assessed for quality using the Cochrane Risk of Bias Assessment Tool. Statistical analyses will be performed using the Revman V.5.3 software. The primary outcomes include 1-second forced expiratory volume and 1-second forced vital capacity, oxygen saturation, total white cell count and quality of life score. Secondary outcomes include time to remission of major symptoms, incidence of adverse events, clinical cure rate and mortality. Subgroup and sensitivity analyses will also be used to explore and interpret the heterogeneity. This protocol is written based on the guideline of the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocol. ETHICS AND DISSEMINATION: Ethical approval and consent are unnecessary because no primary data will be collected. The results will be disseminated through peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42021288962.


Subject(s)
COVID-19 , Qigong , Tai Ji , Humans , Meta-Analysis as Topic , Quality of Life , Systematic Reviews as Topic
17.
Journal of Virology ; 96(1):11, 2022.
Article in English | Web of Science | ID: covidwho-1756184

ABSTRACT

Over the past 20 years, the severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV), and SARS-CoV-2 emerged, causing severe human respiratory diseases throughout the globe. Developing broad-spectrum drugs would be invaluable in responding to new, emerging coronaviruses and to address unmet urgent clinical needs. Main protease (Mpro;also known as 3CL(pro)) has a major role in the coronavirus life cycle and is one of the most important targets for anti-coronavirus agents. We show that a natural product, noncovalent inhibitor, shikonin, is a pan-main protease inhibitor of SARS-CoV-2, SARS-CoV, MERS-CoV, human coronavirus (HCoV)-HKU1, HCoV-NL63, and HCoV-229E with micromolar half maximal inhibitory concentration (IC50) values. Structures of the main protease of different coronavirus genus, SARS-CoV from the betacoronavirus genus and HCoV-NL63 from the alphacoronavirus genus, were determined by X-ray crystallography and revealed that the inhibitor interacts with key active site residues in a unique mode. The structure of the main protease inhibitor complex presents an opportunity to discover a novel series of broad-spectrum inhibitors. These data provide substantial evidence that shikonin and its derivatives may be effective against most coronaviruses as well as emerging coronaviruses of the future. Given the importance of the main protease for coronavirus therapeutic indication, insights from these studies should accelerate the development and design of safer and more effective antiviral agents. IMPORTANCE The current pandemic has created an urgent need for broad-spectrum inhibitors of SARS-CoV-2. The main protease is relatively conservative compared to the spike protein and, thus, is one of the most promising targets in developing anticoronavirus agents. We solved the crystal structures of the main protease of SARSCoV and HCoV-NL63 that bound to shikonin. The structures provide important insights, have broad implications for understanding the structural basis underlying enzyme activity, and can facilitate rational design of broad-spectrum anti-coronavirus ligands as new therapeutic agents.

19.
2021 Photonics and Electromagnetics Research Symposium, PIERS 2021 ; 2021-November:1961-1966, 2021.
Article in English | Scopus | ID: covidwho-1752425

ABSTRACT

Wuhai City is an important coal resource area in Inner Mongolia Autonomous Region. High-intensity underground mining will cause large land subsidence. Differential SAR Interferometry (D-InSAR) is a popular monitoring method of land subsidence in recent years. This paper uses two-pass D-InSAR method to monitor land subsidence in Wuhai City. The experimental data selects 7 scenes of C-band Sentinel-1A images from September 2019 to March 2020. The final deformation results are shown in the Figure 3. The two-pass D-InSAR processing flow includes data focusing, baseline estimation, interferogram generation, adaptive filtering and coherence generation, phase unwrapping, orbit refining and re-flattening, deformation map generation. The result shows: During the monitoring time, the most serious subsidence areas are concentrated near the mine clusters on the east and west sides of Wuhai City. Maximum settlement value up to 242 mm. The subsidence values in heavy industrial and residential areas are slightly smaller compared to the former. Settlement values are generally ranged from 56 to 87 mm. The settlement is lightest in the southern part of Hainan district. It indicates that mining can greatly accelerate surface subsidence. Meanwhile, human activities and groundwater extraction can increase subsidence. From the perspective of time, Settlement in Wuhai City is more pronounced during September to December 2019 but it decreases sharply in January 2020.This should be related to the outbreak of COVID-19. The subsidence value increased slightly from February to March 2020, which showed that the epidemic had been preliminarily controlled and people began to return to work. © 2021 IEEE.

20.
INFORMS International Conference on Service Science, ICSS 2020 ; : 367-379, 2022.
Article in English | Scopus | ID: covidwho-1750469

ABSTRACT

In the face of public emergencies, how to better manage public opinion and maintain social stability is an important research content. Based on the background of the new epidemic in 2020, this paper explores how social emotions are transmitted among the government, the media and the public under public emergencies. Through natural language processing technology, this paper analyzes the relevant policies and media opinions of China, Britain and the United States under the new epidemic situation, and uses mf-dcca model to test the internal cross correlation. The results of the experiment unexpectedly found that a country’s government policy and the country’s media have a high degree of consistency in emotional orientation, and when the country’s social mood has abnormal fluctuations, the media will make adverse emotional statements, thus hedging the impact of some extreme policies on the society. From the perspective of emotion, this study provides a further theoretical basis for the relationship between the government and the public, proposes another control role of the media in emergencies, and discusses the relevant methods of media hedging government policies in the impact of social emotions. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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